xszheng2020/the_stack_dedup_python_hits_7 · Datasets at Hugging Face

de80fc19bc777df59769e113072125cab077fed6

142

py

Python

badwing/character/controller/__init__.py

kfields/badwing

5f53c98cbb6fca8390e1632fa559f5201861365b

[ "MIT" ]

3

2020-03-23T06:43:25.000Z

2022-02-18T16:35:56.000Z

badwing/character/controller/__init__.py

kfields/badwing

5f53c98cbb6fca8390e1632fa559f5201861365b

[ "MIT" ]

2

2020-03-26T02:05:36.000Z

2021-08-02T19:13:06.000Z

badwing/character/controller/__init__.py

kfields/badwing

5f53c98cbb6fca8390e1632fa559f5201861365b

[ "MIT" ]

null

from badwing.character.controller.controller import CharacterController from badwing.character.controller.kinematic import KinematicController

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60,245

py

Python

imageslider.py

albertoriva/actor

9125eec015c074a77987c621c5764e4f0eb4b72a

[ "MIT" ]

1

2019-01-15T15:21:41.000Z

imageslider.py

albertoriva/actor

9125eec015c074a77987c621c5764e4f0eb4b72a

[ "MIT" ]

1

2018-09-29T14:48:25.000Z

2018-09-29T16:57:52.000Z

imageslider.py

albertoriva/actor

9125eec015c074a77987c621c5764e4f0eb4b72a

[ "MIT" ]

1

2018-09-29T14:36:08.000Z

################################################### # # (c) 2016, Alberto Riva, ariva@ufl.edu # DiBiG, ICBR Bioinformatics, University of Florida # # See the LICENSE file for license information. ################################################### # A class to generate a slider for multiple images. # Two subclasses are provided: VerticalSlider and HorizontalSlider # # Code taken from: http://www.jssor.com/ class ImageSlider(): images = [] initialized = False width = 500 height = 500 labelwidth = 200 def __init__(self, images, width=500, height=500, labelwidth=200): self.images = images self.width = width self.height = height self.labelwidth = labelwidth self.initialized = False def generate(self, stream): """Write the slider to `stream'.""" if not self.initialized: self.initialize(stream) self.preamble(stream) for img in self.images: self.slide(stream, img) self.closing(stream) def slide(self, stream, img): name = img[0] url = img[1] stream.write(""" <div style="display: none;"> <div style="position: absolute; top: 0px; left: 0px; width: 598px; height: 299px;"> <div style="margin: 10px; overflow: hidden; color: #000;"><img src='{}'></div> </div> <div data-u="thumb">{}</div> </div> """.format(url, name)) class HorizontalSlider(ImageSlider): def initialize(self, stream): stream.write("""<script> (function(h,f,c,j,d,l,k){/*! 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Python

src/backend/marsha/bbb/tests/test_api.py

insad/marsha

3c6627b9a1debbb594e43233df7b7edb88f57f45

[ "MIT" ]

null

src/backend/marsha/bbb/tests/test_api.py

insad/marsha

3c6627b9a1debbb594e43233df7b7edb88f57f45

[ "MIT" ]

null

src/backend/marsha/bbb/tests/test_api.py

insad/marsha

3c6627b9a1debbb594e43233df7b7edb88f57f45

[ "MIT" ]

null

"""Tests for the meeting API.""" import json import random import re from unittest import mock from urllib.parse import quote_plus import uuid from django.test import TestCase, override_settings from rest_framework_simplejwt.tokens import AccessToken from marsha.bbb import api, serializers from marsha.core import factories as core_factories from ..factories import MeetingFactory from ..utils.bbb_utils import ApiMeetingException # We don't enforce arguments documentation in tests # pylint: disable=unused-argument @override_settings(BBB_API_ENDPOINT="https://10.7.7.1/bigbluebutton/api") @override_settings(BBB_API_SECRET="SuperSecret") @override_settings(BBB_ENABLED=True) class MeetingAPITest(TestCase): """Test for the Meeting API.""" maxDiff = None @mock.patch.object(serializers, "get_meeting_infos") def test_api_meeting_fetch_student(self, mock_get_meeting_infos): """A student should be allowed to fetch a meeting.""" meeting = MeetingFactory() mock_get_meeting_infos.return_value = { "returncode": "SUCCESS", "running": "true", } jwt_token = AccessToken() jwt_token.payload["resource_id"] = str(meeting.id) jwt_token.payload["roles"] = ["student"] response = self.client.get( f"/api/meetings/{meeting.id!s}/", HTTP_AUTHORIZATION=f"Bearer {jwt_token}", ) self.assertEqual(response.status_code, 200) content = json.loads(response.content) self.assertDictEqual( { "id": str(meeting.id), "infos": {"returncode": "SUCCESS", "running": "true"}, "lti_id": str(meeting.lti_id), "title": meeting.title, "started": False, "meeting_id": str(meeting.meeting_id), "welcome_text": meeting.welcome_text, "playlist": { "id": str(meeting.playlist.id), "title": meeting.playlist.title, "lti_id": meeting.playlist.lti_id, }, }, content, ) @mock.patch.object(serializers, "get_meeting_infos") def test_api_meeting_fetch_instructor(self, mock_get_meeting_infos): """An instructor should be able to fetch a meeting.""" meeting = MeetingFactory() mock_get_meeting_infos.return_value = { "returncode": "SUCCESS", "running": "true", } jwt_token = AccessToken() jwt_token.payload["resource_id"] = str(meeting.id) jwt_token.payload["roles"] = [random.choice(["instructor", "administrator"])] jwt_token.payload["permissions"] = {"can_update": True} response = self.client.get( f"/api/meetings/{meeting.id!s}/", HTTP_AUTHORIZATION=f"Bearer {jwt_token}", ) self.assertEqual(response.status_code, 200) content = json.loads(response.content) self.assertDictEqual( { "id": str(meeting.id), "infos": {"returncode": "SUCCESS", "running": "true"}, "lti_id": str(meeting.lti_id), "title": meeting.title, "started": False, "meeting_id": str(meeting.meeting_id), "welcome_text": meeting.welcome_text, "playlist": { "id": str(meeting.playlist.id), "title": meeting.playlist.title, "lti_id": meeting.playlist.lti_id, }, }, content, ) def test_api_meeting_update_anonymous(self): """An anonymous should not be able to update a meeting.""" meeting = MeetingFactory() response = self.client.put(f"/api/meetings/{meeting.id!s}/") self.assertEqual(response.status_code, 401) def test_api_meeting_update_user_logged_in(self): """An logged in user should not be able to update a meeting.""" user = core_factories.UserFactory( first_name="Jane", last_name="Doe", email="jane.doe@example.com" ) meeting = MeetingFactory() self.client.force_login(user) response = self.client.put(f"/api/meetings/{meeting.id!s}/") self.assertEqual(response.status_code, 401) def test_api_meeting_update_student(self): """A student user should not be able to update a meeting.""" meeting = MeetingFactory() jwt_token = AccessToken() jwt_token.payload["resource_id"] = str(meeting.id) jwt_token.payload["roles"] = ["student"] data = {"title": "new title"} response = self.client.put( f"/api/meetings/{meeting.id!s}/", json.dumps(data), HTTP_AUTHORIZATION=f"Bearer {jwt_token}", content_type="application/json", ) self.assertEqual(response.status_code, 403) def test_api_meeting_update_instructor_read_only(self): """An instructor should not be able to update a meeting in read_only.""" meeting = MeetingFactory() jwt_token = AccessToken() jwt_token.payload["resource_id"] = str(meeting.id) jwt_token.payload["roles"] = [random.choice(["instructor", "administrator"])] jwt_token.payload["permissions"] = {"can_update": False} data = {"title": "new title"} response = self.client.put( f"/api/meetings/{meeting.id!s}/", data, HTTP_AUTHORIZATION=f"Bearer {jwt_token}", content_type="application/json", ) self.assertEqual(response.status_code, 403) @mock.patch.object(serializers, "get_meeting_infos") def test_api_meeting_update_instructor(self, mock_get_meeting_infos): """An instructor should be able to update a meeting.""" meeting = MeetingFactory() mock_get_meeting_infos.return_value = { "returncode": "SUCCESS", "running": "true", } jwt_token = AccessToken() jwt_token.payload["resource_id"] = str(meeting.id) jwt_token.payload["roles"] = [random.choice(["instructor", "administrator"])] jwt_token.payload["permissions"] = {"can_update": True} data = {"title": "new title", "welcome_text": "Hello"} response = self.client.put( f"/api/meetings/{meeting.id!s}/", data, HTTP_AUTHORIZATION=f"Bearer {jwt_token}", content_type="application/json", ) self.assertEqual(response.status_code, 200) meeting.refresh_from_db() self.assertEqual("new title", meeting.title) self.assertEqual("Hello", meeting.welcome_text) def test_api_select_instructor_no_bbb_server(self): """An instructor should be able to fetch a meeting lti select.""" playlist = core_factories.PlaylistFactory() jwt_token = AccessToken() jwt_token.payload["resource_id"] = "None" jwt_token.payload["roles"] = [random.choice(["instructor", "administrator"])] jwt_token.payload["permissions"] = {"can_update": True} jwt_token.payload["playlist_id"] = str(playlist.id) response = self.client.get( "/api/meetings/lti-select/", HTTP_AUTHORIZATION=f"Bearer {jwt_token}", ) self.assertEqual(response.status_code, 200) new_uuid = re.search( "http://testserver/lti/meetings/(.*)", response.json().get("new_url", "") ).group(1) self.assertEqual(uuid.UUID(new_uuid).version, 4) self.assertDictEqual( { "new_url": f"http://testserver/lti/meetings/{new_uuid}", "meetings": [], }, response.json(), ) def test_api_select_instructor_no_meetings(self): """An instructor should be able to fetch a meeting lti select.""" playlist = core_factories.PlaylistFactory() jwt_token = AccessToken() jwt_token.payload["resource_id"] = "None" jwt_token.payload["roles"] = [random.choice(["instructor", "administrator"])] jwt_token.payload["permissions"] = {"can_update": True} jwt_token.payload["playlist_id"] = str(playlist.id) response = self.client.get( "/api/meetings/lti-select/", HTTP_AUTHORIZATION=f"Bearer {jwt_token}", ) self.assertEqual(response.status_code, 200) new_uuid = re.search( "http://testserver/lti/meetings/(.*)", response.json().get("new_url", "") ).group(1) self.assertEqual(uuid.UUID(new_uuid).version, 4) self.assertDictEqual( { "new_url": f"http://testserver/lti/meetings/{new_uuid}", "meetings": [], }, response.json(), ) def test_api_select_instructor(self): """An instructor should be able to fetch a meeting lti select.""" # playlist = core_factories.PlaylistFactory() # MeetingFactory.build_batch(3, playlist=playlist) meeting = MeetingFactory() jwt_token = AccessToken() jwt_token.payload["resource_id"] = "None" jwt_token.payload["roles"] = [random.choice(["instructor", "administrator"])] jwt_token.payload["permissions"] = {"can_update": True} jwt_token.payload["playlist_id"] = str(meeting.playlist_id) response = self.client.get( "/api/meetings/lti-select/", HTTP_AUTHORIZATION=f"Bearer {jwt_token}", ) self.assertEqual(response.status_code, 200) new_uuid = re.search( "http://testserver/lti/meetings/(.*)", response.json().get("new_url", "") ).group(1) self.assertEqual(uuid.UUID(new_uuid).version, 4) self.assertDictEqual( { "new_url": f"http://testserver/lti/meetings/{new_uuid}", "meetings": [ { "id": str(meeting.id), "lti_id": str(meeting.lti_id), "lti_url": f"http://testserver/lti/meetings/{str(meeting.id)}", "title": meeting.title, "meeting_id": str(meeting.meeting_id), "playlist": { "id": str(meeting.playlist_id), "title": meeting.playlist.title, "lti_id": meeting.playlist.lti_id, }, } ], }, response.json(), ) @mock.patch.object(api, "create") def test_api_bbb_create_anonymous(self, mock_create_request): """An anonymous should not be able to create a meeting.""" meeting = MeetingFactory() response = self.client.patch(f"/api/meetings/{meeting.id}/create/") self.assertEqual(response.status_code, 401) mock_create_request.assert_not_called() @mock.patch.object(api, "create") def test_api_bbb_create_user_logged_in(self, mock_create_request): """A logged in user should not be able to create a meeting.""" user = core_factories.UserFactory( first_name="Jane", last_name="Doe", email="jane.doe@example.com" ) meeting = MeetingFactory() self.client.force_login(user) response = self.client.patch(f"/api/meetings/{meeting.id}/create/") self.assertEqual(response.status_code, 401) mock_create_request.assert_not_called() @mock.patch.object(api, "create") def test_api_bbb_create_student(self, mock_create_request): """A student should not be able to create a meeting.""" meeting = MeetingFactory() jwt_token = AccessToken() jwt_token.payload["resource_id"] = str(meeting.id) jwt_token.payload["roles"] = ["student"] response = self.client.patch( f"/api/meetings/{meeting.id}/create/", HTTP_AUTHORIZATION=f"Bearer {jwt_token}", ) self.assertEqual(response.status_code, 403) mock_create_request.assert_not_called() @mock.patch.object(api, "create") @mock.patch.object(serializers, "get_meeting_infos") def test_api_bbb_create_new_meeting( self, mock_get_meeting_infos, mock_create_request ): """Starting a meeting with parameters should store them.""" meeting = MeetingFactory() mock_get_meeting_infos.return_value = {"returncode": "SUCCESS"} mock_create_request.return_value = {"returncode": "SUCCESS"} jwt_token = AccessToken() jwt_token.payload["resource_id"] = str(meeting.id) jwt_token.payload["roles"] = [random.choice(["instructor", "administrator"])] jwt_token.payload["permissions"] = {"can_update": True} data = {"title": "new title", "welcome_text": "Hello"} response = self.client.patch( f"/api/meetings/{meeting.id}/create/", data, HTTP_AUTHORIZATION=f"Bearer {jwt_token}", content_type="application/json", ) self.assertEqual(response.status_code, 200) self.assertDictEqual( { "returncode": "SUCCESS", }, response.data, ) meeting.refresh_from_db() self.assertEqual("new title", meeting.title) self.assertEqual("Hello", meeting.welcome_text) mock_create_request.assert_called_with(meeting=meeting) @mock.patch.object(api, "create") @mock.patch.object(serializers, "get_meeting_infos") def test_api_bbb_create_existing_meeting( self, mock_get_meeting_infos, mock_create_request ): """No new meeting should be started if a BBB meeting exists for the same id.""" meeting = MeetingFactory( meeting_id="21e6634f-ab6f-4c77-a665-4229c61b479a", title="Meeting 1", attendee_password="9#R1kuUl3R", moderator_password="0$C7Aaz0o", ) mock_get_meeting_infos.return_value = {"returncode": "SUCCESS"} mock_create_request.side_effect = ApiMeetingException( {"message": "A meeting already exists with that meeting ID."} ) jwt_token = AccessToken() jwt_token.payload["resource_id"] = str(meeting.id) jwt_token.payload["roles"] = [random.choice(["instructor", "administrator"])] jwt_token.payload["permissions"] = {"can_update": True} data = {"title": meeting.title, "welcome_text": meeting.welcome_text} response = self.client.patch( f"/api/meetings/{meeting.id}/create/", data, content_type="application/json", HTTP_AUTHORIZATION=f"Bearer {jwt_token}", ) self.assertEqual(response.status_code, 400) self.assertDictEqual( response.data, {"message": "A meeting already exists with that meeting ID."}, ) mock_create_request.assert_called_with(meeting=meeting) @mock.patch.object(api, "join") @mock.patch.object(serializers, "get_meeting_infos") def test_api_bbb_join_meeting_anonymous( self, mock_get_meeting_infos, mock_join_request ): """An anonymous should not be able to join a meeting.""" meeting = MeetingFactory() response = self.client.patch( f"/api/meetings/{meeting.id}/join/", ) self.assertEqual(response.status_code, 401) mock_get_meeting_infos.assert_not_called() mock_join_request.assert_not_called() @mock.patch.object(api, "join") def test_api_bbb_join_meeting_user_logged_in(self, mock_join_request): """A logged in user should not be able to join a meeting.""" user = core_factories.UserFactory( first_name="Jane", last_name="Doe", email="jane.doe@example.com" ) meeting = MeetingFactory() self.client.force_login(user) response = self.client.patch(f"/api/meetings/{meeting.id}/join/") self.assertEqual(response.status_code, 401) mock_join_request.assert_not_called() def test_api_bbb_join_student(self): """Joining a meeting as student should return an attendee meeting url.""" meeting = MeetingFactory( meeting_id="21e6634f-ab6f-4c77-a665-4229c61b479a", title="Meeting 1", attendee_password="9#R1kuUl3R", moderator_password="0$C7Aaz0o", ) jwt_token = AccessToken() jwt_token.payload["resource_id"] = str(meeting.id) jwt_token.payload["roles"] = ["student"] response = self.client.patch( f"/api/meetings/{meeting.id}/join/", data=json.dumps({"fullname": "John Doe"}), content_type="application/json", HTTP_AUTHORIZATION=f"Bearer {jwt_token}", ) self.assertEqual(response.status_code, 200) self.assertIn( "https://10.7.7.1/bigbluebutton/api/join?" f"fullName=John+Doe&meetingID={meeting.meeting_id}&" f"password={quote_plus(meeting.attendee_password)}&redirect=true", response.data.get("url"), ) def test_api_bbb_join_instructor(self): """Joining a meeting as instructor should return a moderator meeting url.""" meeting = MeetingFactory( meeting_id="21e6634f-ab6f-4c77-a665-4229c61b479a", title="Meeting 1", attendee_password="9#R1kuUl3R", moderator_password="0$C7Aaz0o", ) jwt_token = AccessToken() jwt_token.payload["resource_id"] = str(meeting.id) jwt_token.payload["roles"] = [random.choice(["instructor", "administrator"])] jwt_token.payload["permissions"] = {"can_update": True} response = self.client.patch( f"/api/meetings/{meeting.id}/join/", data=json.dumps({"fullname": "John Doe"}), content_type="application/json", HTTP_AUTHORIZATION=f"Bearer {jwt_token}", ) self.assertEqual(response.status_code, 200) self.assertIn( "https://10.7.7.1/bigbluebutton/api/join?" f"fullName=John+Doe&meetingID={meeting.meeting_id}&" f"password={quote_plus(meeting.moderator_password)}&redirect=true", response.data.get("url"), ) def test_api_bbb_join_instructor_no_fullname(self): """Joining a meeting without fullname parameter should return a 422.""" meeting = MeetingFactory( meeting_id="21e6634f-ab6f-4c77-a665-4229c61b479a", title="Meeting 1", attendee_password="9#R1kuUl3R", moderator_password="0$C7Aaz0o", ) jwt_token = AccessToken() jwt_token.payload["resource_id"] = str(meeting.id) jwt_token.payload["roles"] = [random.choice(["instructor", "administrator"])] jwt_token.payload["permissions"] = {"can_update": True} response = self.client.patch( f"/api/meetings/{meeting.id}/join/", HTTP_AUTHORIZATION=f"Bearer {jwt_token}", ) self.assertEqual(response.status_code, 400) self.assertDictEqual( {"message": "missing fullname parameter"}, response.data, ) @mock.patch.object(api, "end") def test_api_bbb_end_meeting_anonymous(self, mock_end_request): """An anonymous should not be able to end a meeting.""" meeting = MeetingFactory() response = self.client.patch( f"/api/meetings/{meeting.id}/end/", ) self.assertEqual(response.status_code, 401) mock_end_request.assert_not_called() @mock.patch.object(api, "end") def test_api_bbb_end_meeting_user_logged_in(self, mock_end_request): """A logged in user should not be able to end a meeting.""" user = core_factories.UserFactory( first_name="Jane", last_name="Doe", email="jane.doe@example.com" ) meeting = MeetingFactory() self.client.force_login(user) response = self.client.patch( f"/api/meetings/{meeting.id}/end/", ) self.assertEqual(response.status_code, 401) mock_end_request.assert_not_called() @mock.patch.object(api, "end") def test_api_bbb_end_meeting_student(self, mock_end_request): """A student should not be able to end a meeting.""" meeting = MeetingFactory() jwt_token = AccessToken() jwt_token.payload["resource_id"] = str(meeting.id) jwt_token.payload["roles"] = ["student"] response = self.client.patch( f"/api/meetings/{meeting.id}/end/", HTTP_AUTHORIZATION=f"Bearer {jwt_token}", ) self.assertEqual(response.status_code, 403) mock_end_request.assert_not_called() @mock.patch.object(api, "end") def test_api_bbb_end_meeting_instructor(self, mock_end_request): """Ending a meeting as instructor should return a moderator meeting url.""" meeting = MeetingFactory( meeting_id="21e6634f-ab6f-4c77-a665-4229c61b479a", title="Meeting 1", attendee_password="9#R1kuUl3R", moderator_password="0$C7Aaz0o", ) mock_end_request.return_value = { "message": "A request to end the meeting was sent.", "messageKey": "sentEndMeetingRequest", "returncode": "SUCCESS", } jwt_token = AccessToken() jwt_token.payload["resource_id"] = str(meeting.id) jwt_token.payload["roles"] = [random.choice(["instructor", "administrator"])] jwt_token.payload["permissions"] = {"can_update": True} response = self.client.patch( f"/api/meetings/{meeting.id}/end/", HTTP_AUTHORIZATION=f"Bearer {jwt_token}", ) self.assertEqual(response.status_code, 200) self.assertDictEqual( { "returncode": "SUCCESS", "message": "A request to end the meeting was sent.", "messageKey": "sentEndMeetingRequest", }, response.data, )

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0

null

0

7

a0c65cdd7e809f3d9154c85f0e2efbc95e809f86

24,534

py

Python

ion/services/sa/observatory/test/test_observatory_util.py

ooici/coi-services

43246f46a82e597345507afd7dfc7373cb346afa

[ "BSD-2-Clause" ]

3

2016-09-20T09:50:06.000Z

2018-08-10T01:41:38.000Z

ion/services/sa/observatory/test/test_observatory_util.py

ooici/coi-services

43246f46a82e597345507afd7dfc7373cb346afa

[ "BSD-2-Clause" ]

null

ion/services/sa/observatory/test/test_observatory_util.py

ooici/coi-services

43246f46a82e597345507afd7dfc7373cb346afa

[ "BSD-2-Clause" ]

2

2016-03-16T22:25:49.000Z

2016-11-26T14:54:21.000Z

#!/usr/bin/env python __author__ = 'Michael Meisinger' import unittest from nose.plugins.attrib import attr from pyon.public import RT, log from pyon.util.unit_test import IonUnitTestCase from ion.services.sa.observatory.mockutil import MockUtil from ion.services.sa.observatory.observatory_util import ObservatoryUtil from interface.objects import DeviceStatusType, DeviceCommsType, AggregateStatusType DST = DeviceStatusType def _devstat(dev_id, power, comms, data, loc): res_dict = dict(device_id = dev_id, agg_status={ AggregateStatusType.AGGREGATE_POWER: dict(status=power), AggregateStatusType.AGGREGATE_COMMS: dict(status=comms), AggregateStatusType.AGGREGATE_DATA: dict(status=data), AggregateStatusType.AGGREGATE_LOCATION: dict(status=loc), }) return res_dict @attr('UNIT', group='sa') class TestObservatoryUtil(IonUnitTestCase): def setUp(self): self.mu = MockUtil() self.process_mock = self.mu.create_process_mock() self.container_mock = self.mu.create_container_mock() self.dsm_mock = self.mu.create_device_status_manager_mock() res_list = [ dict(rt='Org', _id='Org_1', attr={}), dict(rt='Observatory', _id='Obs_1', attr={}), dict(rt='Observatory', _id='Obs_2', attr={}), dict(rt='Subsite', _id='Sub_1', attr={}), dict(rt='Subsite', _id='Sub_2', attr={}), dict(rt='PlatformSite', _id='PS_1', attr={}), dict(rt='InstrumentSite', _id='IS_1', attr={}), dict(rt='PlatformDevice', _id='PD_1', attr={}), dict(rt='InstrumentDevice', _id='ID_1', attr={}), ] assoc_list = [ ['Obs_1', 'hasSite', 'Sub_1'], ['Sub_1', 'hasSite', 'PS_1'], ['PS_1', 'hasSite', 'IS_1'], ] assoc_list1 = [ ['Org_1', 'hasResource', 'Obs_1'], ['Org_1', 'hasResource', 'Obs_2'], ['Obs_2', 'hasSite', 'Sub_2'], ] assoc_list2 = [ ['PS_1', 'hasDevice', 'PD_1'], ['IS_1', 'hasDevice', 'ID_1'], ['PD_1', 'hasDevice', 'ID_1'], ] def spy_get_child_sites(self, parent_site_id=None, org_id=None, exclude_types=None, include_parents=True, id_only=True): child_sites, site_ancestors = self.obs_util.get_child_sites(parent_site_id=parent_site_id, org_id=org_id, exclude_types=exclude_types, include_parents=include_parents, id_only=id_only) print "child_sites of", parent_site_id, "are", child_sites print "site_ancestors of", parent_site_id, "are", site_ancestors return child_sites, site_ancestors def test_get_child_sites(self): self.mu.load_mock_resources(self.res_list) self.mu.load_mock_associations(self.assoc_list) self.obs_util = ObservatoryUtil(self.process_mock, self.container_mock) site_resources, site_children = self.spy_get_child_sites(parent_site_id='Obs_1', include_parents=False, id_only=True) self.assertEquals(len(site_resources), 3) self.assertEquals(len(site_children), 3) self.assertIn('Sub_1', site_resources) self.assertIn('PS_1', site_resources) self.assertIn('IS_1', site_resources) self.assertNotIn('Obs_1', site_resources) self.assertEquals(len([v for v in site_resources.values() if v is None]), 3) site_resources, site_children = self.spy_get_child_sites(parent_site_id='Obs_1', include_parents=False, id_only=False) self.assertEquals(len(site_resources), 3) self.assertEquals(len(site_children), 3) self.assertEquals(len([v for v in site_resources.values() if v is None]), 0) self.assertEquals(site_resources['Sub_1']._get_type(), RT.Subsite) site_resources, site_children = self.spy_get_child_sites(parent_site_id='Obs_1', include_parents=True) self.assertEquals(len(site_resources), 4) self.assertEquals(len(site_children), 3) self.assertIn('Obs_1', site_resources) site_resources, site_children = self.spy_get_child_sites(parent_site_id='Sub_1', include_parents=False) self.assertEquals(len(site_resources), 2) self.assertEquals(len(site_children), 2) self.assertNotIn('Sub_1', site_resources) site_resources, site_children = self.spy_get_child_sites(parent_site_id='Sub_1', include_parents=True) self.assertEquals(len(site_resources), 4) self.assertEquals(len(site_children), 3) self.assertIn('Sub_1', site_resources) self.assertIn('Obs_1', site_resources) site_resources, site_children = self.spy_get_child_sites(parent_site_id='PS_1', include_parents=False) self.assertEquals(len(site_resources), 1) self.assertEquals(len(site_children), 1) site_resources, site_children = self.spy_get_child_sites(parent_site_id='PS_1', include_parents=True) self.assertEquals(len(site_resources), 4) self.assertEquals(len(site_children), 3) site_resources, site_children = self.spy_get_child_sites(parent_site_id='IS_1', include_parents=False) self.assertEquals(len(site_resources), 0) self.assertEquals(len(site_children), 0) site_resources, site_children = self.spy_get_child_sites(parent_site_id='IS_1', include_parents=True) self.assertEquals(len(site_resources), 4) self.assertEquals(len(site_children), 3) site_resources, site_children = self.spy_get_child_sites(parent_site_id='XXX', include_parents=True) self.assertEquals(len(site_resources), 1) self.assertEquals(len(site_children), 0) def test_get_child_sites_org(self): self.mu.load_mock_resources(self.res_list) self.mu.load_mock_associations(self.assoc_list + self.assoc_list1) self.mu.assign_mockres_find_objects(filter_predicate="hasResource") self.obs_util = ObservatoryUtil(self.process_mock, self.container_mock) child_sites, site_ancestors = self.obs_util.get_child_sites(org_id='Org_1', include_parents=False, id_only=True) self.assertEquals(len(child_sites), 6) self.assertEquals(len(site_ancestors), 5) self.assertIn('Sub_1', child_sites) self.assertIn('PS_1', child_sites) self.assertIn('IS_1', child_sites) self.assertIn('Obs_1', child_sites) self.assertIn('Obs_2', child_sites) child_sites, site_ancestors = self.obs_util.get_child_sites(org_id='Org_1', include_parents=True, id_only=True) self.assertEquals(len(child_sites), 7) self.assertEquals(len(site_ancestors), 5) child_sites, site_ancestors = self.obs_util.get_child_sites(org_id='Org_1', include_parents=True, id_only=False) self.assertEquals(len(child_sites), 7) self.assertEquals(len(site_ancestors), 5) self.assertEquals(len([v for v in child_sites.values() if v is None]), 0) self.assertEquals(child_sites['Org_1']._get_type(), RT.Org) def test_get_site_devices(self): self.mu.load_mock_resources(self.res_list) self.mu.load_mock_associations(self.assoc_list2) self.obs_util = ObservatoryUtil(self.process_mock, self.container_mock) site_devices = self.obs_util.get_site_devices(['Sub_1', 'PS_1', 'IS_1']) self.assertEquals(len(site_devices), 3) self.assertEquals(site_devices['Sub_1'], []) self.assertEquals(site_devices['IS_1'], [('InstrumentSite', 'ID_1', 'InstrumentDevice')]) def test_get_child_devices(self): self.mu.load_mock_resources(self.res_list) self.mu.load_mock_associations(self.assoc_list2) self.obs_util = ObservatoryUtil(self.process_mock, self.container_mock) child_devices = self.obs_util.get_child_devices('PD_1') self.assertEquals(len(child_devices), 2) self.assertEquals(child_devices['PD_1'][0][1], 'ID_1') child_devices = self.obs_util.get_child_devices('ID_1') self.assertEquals(len(child_devices), 1) self.assertEquals(child_devices['ID_1'], []) child_devices = self.obs_util.get_child_devices('Sub_1') self.assertEquals(len(child_devices), 1) self.assertEquals(child_devices['Sub_1'], []) child_devices = self.obs_util.get_child_devices('XXX') self.assertEquals(len(child_devices), 1) def test_get_device_data_products(self): self.mu.load_mock_resources(self.res_list + self.res_list1) self.mu.load_mock_associations(self.assoc_list + self.assoc_list1 + self.assoc_list2 + self.assoc_list3) self.mu.assign_mockres_find_objects(filter_predicate="hasResource") self.obs_util = ObservatoryUtil(self.process_mock, self.container_mock) res_dict = self.obs_util.get_site_data_products('Obs_1', RT.Observatory) self.assertGreaterEqual(len(res_dict), 6) self.assertIsNone(res_dict['data_product_resources']) self.assertIn('ID_1', res_dict['device_data_products']) self.assertEquals(len(res_dict['device_data_products']['ID_1']), 3) self.assertIn('DP_1', res_dict['device_data_products']['ID_1']) self.assertIn('PD_1', res_dict['device_data_products']) self.assertEquals(len(res_dict['device_data_products']['PD_1']), 3) res_dict = self.obs_util.get_site_data_products('PS_1', RT.PlatformSite) self.assertEquals(len(res_dict['device_data_products']['ID_1']), 3) self.assertIn('ID_1', res_dict['device_data_products']) self.assertIn('DP_1', res_dict['device_data_products']['ID_1']) self.assertIn('PD_1', res_dict['device_data_products']) self.assertEquals(len(res_dict['device_data_products']['PD_1']), 3) res_dict = self.obs_util.get_site_data_products('Org_1', RT.Org) self.assertIn('DP_1', res_dict['device_data_products']['ID_1']) res_dict = self.obs_util.get_site_data_products('PS_1', RT.PlatformSite, include_data_products=True) self.assertIsNotNone(res_dict['data_product_resources']) self.assertIn('DP_1', res_dict['data_product_resources']) #import pprint #pprint.pprint(res_dict) status_by_device_1 = { "ID_1": _devstat("ID_1", DST.STATUS_OK, DST.STATUS_OK, DST.STATUS_OK, DST.STATUS_OK), "PD_1": _devstat("PD_1", DST.STATUS_OK, DST.STATUS_OK, DST.STATUS_OK, DST.STATUS_OK), } status_by_device_2 = { "ID_1": _devstat("ID_1", DST.STATUS_WARNING, DST.STATUS_OK, DST.STATUS_OK, DST.STATUS_OK), "PD_1": _devstat("PD_1", DST.STATUS_OK, DST.STATUS_OK, DST.STATUS_OK, DST.STATUS_OK), } status_by_device_3 = { "ID_1": _devstat("ID_1", DST.STATUS_WARNING, DST.STATUS_WARNING, DST.STATUS_OK, DST.STATUS_OK), "PD_1": _devstat("PD_1", DST.STATUS_OK, DST.STATUS_OK, DST.STATUS_OK, DST.STATUS_OK), } status_by_device_4 = { "ID_1": _devstat("ID_1", DST.STATUS_OK, DST.STATUS_OK, DST.STATUS_OK, DST.STATUS_OK), "PD_1": _devstat("PD_1", DST.STATUS_WARNING, DST.STATUS_WARNING, DST.STATUS_OK, DST.STATUS_OK), } def test_get_status_roll_ups(self): self.mu.load_mock_resources(self.res_list) self.mu.load_mock_associations(self.assoc_list + self.assoc_list1 + self.assoc_list2) self.mu.load_mock_device_statuses(self.status_by_device_1) self.obs_util = ObservatoryUtil(self.process_mock, self.container_mock, device_status_mgr=self.dsm_mock) # No problems status_rollups = self.obs_util.get_status_roll_ups('ID_1', RT.InstrumentDevice) self.assertIn('ID_1', status_rollups) self._assert_status(status_rollups, 'ID_1') status_rollups = self.obs_util.get_status_roll_ups('PD_1', RT.PlatformDevice) self.assertIn('PD_1', status_rollups) self.assertIn('ID_1', status_rollups) self._assert_status(status_rollups, 'PD_1') self._assert_status(status_rollups, 'ID_1') status_rollups = self.obs_util.get_status_roll_ups('IS_1', RT.InstrumentSite) self.assertEquals(len(status_rollups), 6) self.assertIn('IS_1', status_rollups) self.assertIn('ID_1', status_rollups) self._assert_status(status_rollups, 'IS_1') self._assert_status(status_rollups, 'ID_1') status_rollups = self.obs_util.get_status_roll_ups('PS_1', RT.PlatformSite) self.assertEquals(len(status_rollups), 6) self.assertIn('PS_1', status_rollups) self.assertIn('PD_1', status_rollups) self.assertIn('IS_1', status_rollups) self.assertIn('ID_1', status_rollups) self._assert_status(status_rollups, 'PS_1') self._assert_status(status_rollups, 'PD_1') self._assert_status(status_rollups, 'IS_1') self._assert_status(status_rollups, 'ID_1') status_rollups = self.obs_util.get_status_roll_ups('Sub_1', RT.Subsite) self.assertIn('Sub_1', status_rollups) self.assertIn('PS_1', status_rollups) self.assertIn('PD_1', status_rollups) self.assertIn('IS_1', status_rollups) self.assertIn('ID_1', status_rollups) self._assert_status(status_rollups, 'Sub_1') self._assert_status(status_rollups, 'PS_1') self._assert_status(status_rollups, 'PD_1') self._assert_status(status_rollups, 'IS_1') self._assert_status(status_rollups, 'ID_1') status_rollups = self.obs_util.get_status_roll_ups('Obs_1', RT.Observatory) self.assertIn('Obs_1', status_rollups) self.assertIn('Sub_1', status_rollups) self.assertIn('PS_1', status_rollups) self.assertIn('PD_1', status_rollups) self.assertIn('IS_1', status_rollups) self.assertIn('ID_1', status_rollups) self._assert_status(status_rollups, 'Obs_1') self._assert_status(status_rollups, 'Sub_1') self._assert_status(status_rollups, 'PS_1') self._assert_status(status_rollups, 'PD_1') self._assert_status(status_rollups, 'IS_1') self._assert_status(status_rollups, 'ID_1') # ID_1 power warning self.mu.load_mock_device_statuses(self.status_by_device_2) status_rollups = self.obs_util.get_status_roll_ups('ID_1', RT.InstrumentDevice) self._assert_status(status_rollups, 'ID_1', agg=DST.STATUS_WARNING, power=DST.STATUS_WARNING) status_rollups = self.obs_util.get_status_roll_ups('PD_1', RT.PlatformDevice) self._assert_status(status_rollups, 'PD_1', agg=DST.STATUS_WARNING, power=DST.STATUS_WARNING) self._assert_status(status_rollups, 'ID_1', agg=DST.STATUS_WARNING, power=DST.STATUS_WARNING) status_rollups = self.obs_util.get_status_roll_ups('IS_1', RT.InstrumentSite) self.assertIn('IS_1', status_rollups) self._assert_status(status_rollups, 'IS_1', agg=DST.STATUS_WARNING, power=DST.STATUS_WARNING) status_rollups = self.obs_util.get_status_roll_ups('PS_1', RT.PlatformSite) self.assertIn('PS_1', status_rollups) self.assertIn('IS_1', status_rollups) self._assert_status(status_rollups, 'PS_1', agg=DST.STATUS_WARNING, power=DST.STATUS_WARNING) self._assert_status(status_rollups, 'IS_1', agg=DST.STATUS_WARNING, power=DST.STATUS_WARNING) # ID_1 power+comms warning self.mu.load_mock_device_statuses(self.status_by_device_3) status_rollups = self.obs_util.get_status_roll_ups('ID_1', RT.InstrumentDevice) self._assert_status(status_rollups, 'ID_1', agg=DST.STATUS_WARNING, power=DST.STATUS_WARNING, comms=DST.STATUS_WARNING) status_rollups = self.obs_util.get_status_roll_ups('PD_1', RT.PlatformDevice) self._assert_status(status_rollups, 'PD_1', agg=DST.STATUS_WARNING, power=DST.STATUS_WARNING, comms=DST.STATUS_WARNING) self._assert_status(status_rollups, 'ID_1', agg=DST.STATUS_WARNING, power=DST.STATUS_WARNING, comms=DST.STATUS_WARNING) status_rollups = self.obs_util.get_status_roll_ups('IS_1', RT.InstrumentSite) self.assertEquals(len(status_rollups), 6) self.assertIn('IS_1', status_rollups) self.assertIn('ID_1', status_rollups) self._assert_status(status_rollups, 'IS_1', agg=DST.STATUS_WARNING, power=DST.STATUS_WARNING, comms=DST.STATUS_WARNING) self._assert_status(status_rollups, 'ID_1', agg=DST.STATUS_WARNING, power=DST.STATUS_WARNING, comms=DST.STATUS_WARNING) status_rollups = self.obs_util.get_status_roll_ups('PS_1', RT.PlatformSite) self.assertEquals(len(status_rollups), 6) self.assertIn('PS_1', status_rollups) self.assertIn('PD_1', status_rollups) self.assertIn('IS_1', status_rollups) self.assertIn('ID_1', status_rollups) self._assert_status(status_rollups, 'PS_1', agg=DST.STATUS_WARNING, power=DST.STATUS_WARNING, comms=DST.STATUS_WARNING) self._assert_status(status_rollups, 'PD_1') self._assert_status(status_rollups, 'IS_1', agg=DST.STATUS_WARNING, power=DST.STATUS_WARNING, comms=DST.STATUS_WARNING) self._assert_status(status_rollups, 'ID_1', agg=DST.STATUS_WARNING, power=DST.STATUS_WARNING, comms=DST.STATUS_WARNING) status_rollups = self.obs_util.get_status_roll_ups('Sub_1', RT.Subsite) self.assertIn('Sub_1', status_rollups) self.assertIn('PS_1', status_rollups) self.assertIn('PD_1', status_rollups) self.assertIn('IS_1', status_rollups) self.assertIn('ID_1', status_rollups) self._assert_status(status_rollups, 'Sub_1', agg=DST.STATUS_WARNING, power=DST.STATUS_WARNING, comms=DST.STATUS_WARNING) self._assert_status(status_rollups, 'PS_1', agg=DST.STATUS_WARNING, power=DST.STATUS_WARNING, comms=DST.STATUS_WARNING) self._assert_status(status_rollups, 'PD_1') self._assert_status(status_rollups, 'IS_1', agg=DST.STATUS_WARNING, power=DST.STATUS_WARNING, comms=DST.STATUS_WARNING) self._assert_status(status_rollups, 'ID_1', agg=DST.STATUS_WARNING, power=DST.STATUS_WARNING, comms=DST.STATUS_WARNING) status_rollups = self.obs_util.get_status_roll_ups('Obs_1', RT.Observatory) self.assertIn('Obs_1', status_rollups) self.assertIn('Sub_1', status_rollups) self.assertIn('PS_1', status_rollups) self.assertIn('PD_1', status_rollups) self.assertIn('IS_1', status_rollups) self.assertIn('ID_1', status_rollups) self._assert_status(status_rollups, 'Obs_1', agg=DST.STATUS_WARNING, power=DST.STATUS_WARNING, comms=DST.STATUS_WARNING) self._assert_status(status_rollups, 'Sub_1', agg=DST.STATUS_WARNING, power=DST.STATUS_WARNING, comms=DST.STATUS_WARNING) self._assert_status(status_rollups, 'PS_1', agg=DST.STATUS_WARNING, power=DST.STATUS_WARNING, comms=DST.STATUS_WARNING) self._assert_status(status_rollups, 'PD_1') self._assert_status(status_rollups, 'IS_1', agg=DST.STATUS_WARNING, power=DST.STATUS_WARNING, comms=DST.STATUS_WARNING) self._assert_status(status_rollups, 'ID_1', agg=DST.STATUS_WARNING, power=DST.STATUS_WARNING, comms=DST.STATUS_WARNING) def test_get_status_roll_ups_platform_warn(self): self.mu.load_mock_resources(self.res_list) self.mu.load_mock_associations(self.assoc_list + self.assoc_list1 + self.assoc_list2) self.mu.load_mock_device_statuses(self.status_by_device_4) self.obs_util = ObservatoryUtil(self.process_mock, self.container_mock, device_status_mgr=self.dsm_mock) # PD_1 power+comms warning status_rollups = self.obs_util.get_status_roll_ups('ID_1', RT.InstrumentDevice) self._assert_status(status_rollups, 'ID_1') status_rollups = self.obs_util.get_status_roll_ups('PD_1', RT.PlatformDevice) #log.warn("status %s" % status_rollups) self._assert_status(status_rollups, 'PD_1', agg=DST.STATUS_WARNING, power=DST.STATUS_WARNING, comms=DST.STATUS_WARNING) self._assert_status(status_rollups, 'ID_1') status_rollups = self.obs_util.get_status_roll_ups('IS_1', RT.InstrumentSite) self.assertEquals(len(status_rollups), 6) self.assertIn('IS_1', status_rollups) self.assertIn('ID_1', status_rollups) self._assert_status(status_rollups, 'IS_1') self._assert_status(status_rollups, 'ID_1') status_rollups = self.obs_util.get_status_roll_ups('PS_1', RT.PlatformSite) self.assertEquals(len(status_rollups), 6) self.assertIn('PS_1', status_rollups) self.assertIn('PD_1', status_rollups) self.assertIn('IS_1', status_rollups) self.assertIn('ID_1', status_rollups) self._assert_status(status_rollups, 'PS_1', agg=DST.STATUS_WARNING, power=DST.STATUS_WARNING, comms=DST.STATUS_WARNING) self._assert_status(status_rollups, 'PD_1', agg=DST.STATUS_WARNING, power=DST.STATUS_WARNING, comms=DST.STATUS_WARNING) self._assert_status(status_rollups, 'IS_1') self._assert_status(status_rollups, 'ID_1') status_rollups = self.obs_util.get_status_roll_ups('Sub_1', RT.Subsite) self.assertIn('Sub_1', status_rollups) self.assertIn('PS_1', status_rollups) self.assertIn('PD_1', status_rollups) self.assertIn('IS_1', status_rollups) self.assertIn('ID_1', status_rollups) self._assert_status(status_rollups, 'Sub_1', agg=DST.STATUS_WARNING, power=DST.STATUS_WARNING, comms=DST.STATUS_WARNING) self._assert_status(status_rollups, 'PS_1', agg=DST.STATUS_WARNING, power=DST.STATUS_WARNING, comms=DST.STATUS_WARNING) self._assert_status(status_rollups, 'PD_1', agg=DST.STATUS_WARNING, power=DST.STATUS_WARNING, comms=DST.STATUS_WARNING) self._assert_status(status_rollups, 'IS_1') self._assert_status(status_rollups, 'ID_1') status_rollups = self.obs_util.get_status_roll_ups('Obs_1', RT.Observatory) self.assertIn('Obs_1', status_rollups) self.assertIn('Sub_1', status_rollups) self.assertIn('PS_1', status_rollups) self.assertIn('PD_1', status_rollups) self.assertIn('IS_1', status_rollups) self.assertIn('ID_1', status_rollups) self._assert_status(status_rollups, 'Obs_1', agg=DST.STATUS_WARNING, power=DST.STATUS_WARNING, comms=DST.STATUS_WARNING) self._assert_status(status_rollups, 'Sub_1', agg=DST.STATUS_WARNING, power=DST.STATUS_WARNING, comms=DST.STATUS_WARNING) self._assert_status(status_rollups, 'PS_1', agg=DST.STATUS_WARNING, power=DST.STATUS_WARNING, comms=DST.STATUS_WARNING) self._assert_status(status_rollups, 'PD_1', agg=DST.STATUS_WARNING, power=DST.STATUS_WARNING, comms=DST.STATUS_WARNING) self._assert_status(status_rollups, 'IS_1') self._assert_status(status_rollups, 'ID_1') def _assert_status(self, status_rollups, res_id=None, agg=DST.STATUS_OK, loc=DST.STATUS_OK, data=DST.STATUS_OK, comms=DST.STATUS_OK, power=DST.STATUS_OK): res_status = status_rollups[res_id] if res_id else status_rollups log.debug("_assert_status(%s) = %s", res_id, res_status) self.assertEquals(len(res_status), 5) if agg is not None: self.assertEquals(res_status['agg'], agg) if loc is not None: self.assertEquals(res_status[AggregateStatusType.AGGREGATE_LOCATION], loc) if data is not None: self.assertEquals(res_status[AggregateStatusType.AGGREGATE_DATA], data) if comms is not None: self.assertEquals(res_status[AggregateStatusType.AGGREGATE_COMMS], comms) if power is not None: self.assertEquals(res_status[AggregateStatusType.AGGREGATE_POWER], power) res_list1 = [ dict(rt='DataProduct', _id='DP_1', attr={}), dict(rt='DataProduct', _id='DP_2', attr={}), dict(rt='DataProduct', _id='DP_3', attr={}), dict(rt='DataProduct', _id='DP_4', attr={}), dict(rt='DataProduct', _id='DP_5', attr={}), ] assoc_list3 = [ ['DP_1', 'hasSource', 'ID_1'], ['DP_1', 'hasSource', 'IS_1'], ['DP_2', 'hasSource', 'ID_1'], ['DP_3', 'hasSource', 'ID_1'], ['DP_3', 'hasSource', 'PD_1'], ['DP_4', 'hasSource', 'PD_1'], ['DP_5', 'hasSource', 'PD_1'], ]

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null

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1

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null

0

1

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8

a0eef355229e63a689ad95592e70877fbaff0933

5,567

py

Python

tests/components/zha/test_registries.py

mfaraco/home-assistant

a91b0058229974aed578fb20e833df4454d007f9

[ "Apache-2.0" ]

23

2017-11-15T21:03:53.000Z

2021-03-29T21:33:48.000Z

tests/components/zha/test_registries.py

mfaraco/home-assistant

a91b0058229974aed578fb20e833df4454d007f9

[ "Apache-2.0" ]

6

2021-02-08T20:59:36.000Z

2022-03-12T00:52:11.000Z

tests/components/zha/test_registries.py

ajk12345-code/home-assistant

85624e80312e0487f51653ce24b398320972cbec

[ "Apache-2.0" ]

10

2018-01-01T00:12:51.000Z

2021-12-21T23:08:05.000Z

"""Test ZHA registries.""" from unittest import mock import pytest import homeassistant.components.zha.core.registries as registries MANUFACTURER = "mock manufacturer" MODEL = "mock model" @pytest.fixture def zha_device(): """Return a mock of ZHA device.""" dev = mock.MagicMock() dev.manufacturer = MANUFACTURER dev.model = MODEL return dev @pytest.fixture def channels(): """Return a mock of channels.""" def channel(name, chan_id): ch = mock.MagicMock() ch.name = name ch.generic_id = chan_id return ch return [channel("level", "channel_0x0008"), channel("on_off", "channel_0x0006")] @pytest.mark.parametrize( "rule, matched", [ (registries.MatchRule(), False), (registries.MatchRule(channel_names={"level"}), True), (registries.MatchRule(channel_names={"level", "no match"}), False), (registries.MatchRule(channel_names={"on_off"}), True), (registries.MatchRule(channel_names={"on_off", "no match"}), False), (registries.MatchRule(channel_names={"on_off", "level"}), True), (registries.MatchRule(channel_names={"on_off", "level", "no match"}), False), # test generic_id matching (registries.MatchRule(generic_ids={"channel_0x0006"}), True), (registries.MatchRule(generic_ids={"channel_0x0008"}), True), (registries.MatchRule(generic_ids={"channel_0x0006", "channel_0x0008"}), True), ( registries.MatchRule( generic_ids={"channel_0x0006", "channel_0x0008", "channel_0x0009"} ), False, ), ( registries.MatchRule( generic_ids={"channel_0x0006", "channel_0x0008"}, channel_names={"on_off", "level"}, ), True, ), # manufacturer matching (registries.MatchRule(manufacturer="no match"), False), (registries.MatchRule(manufacturer=MANUFACTURER), True), (registries.MatchRule(model=MODEL), True), (registries.MatchRule(model="no match"), False), # match everything ( registries.MatchRule( generic_ids={"channel_0x0006", "channel_0x0008"}, channel_names={"on_off", "level"}, manufacturer=MANUFACTURER, model=MODEL, ), True, ), ], ) def test_registry_matching(rule, matched, zha_device, channels): """Test empty rule matching.""" reg = registries.ZHAEntityRegistry() assert reg._strict_matched(zha_device, channels, rule) is matched @pytest.mark.parametrize( "rule, matched", [ (registries.MatchRule(), False), (registries.MatchRule(channel_names={"level"}), True), (registries.MatchRule(channel_names={"level", "no match"}), False), (registries.MatchRule(channel_names={"on_off"}), True), (registries.MatchRule(channel_names={"on_off", "no match"}), False), (registries.MatchRule(channel_names={"on_off", "level"}), True), (registries.MatchRule(channel_names={"on_off", "level", "no match"}), False), ( registries.MatchRule(channel_names={"on_off", "level"}, model="no match"), True, ), ( registries.MatchRule( channel_names={"on_off", "level"}, model="no match", manufacturer="no match", ), True, ), ( registries.MatchRule( channel_names={"on_off", "level"}, model="no match", manufacturer=MANUFACTURER, ), True, ), # test generic_id matching (registries.MatchRule(generic_ids={"channel_0x0006"}), True), (registries.MatchRule(generic_ids={"channel_0x0008"}), True), (registries.MatchRule(generic_ids={"channel_0x0006", "channel_0x0008"}), True), ( registries.MatchRule( generic_ids={"channel_0x0006", "channel_0x0008", "channel_0x0009"} ), False, ), ( registries.MatchRule( generic_ids={"channel_0x0006", "channel_0x0008", "channel_0x0009"}, model="mo match", ), False, ), ( registries.MatchRule( generic_ids={"channel_0x0006", "channel_0x0008", "channel_0x0009"}, model=MODEL, ), True, ), ( registries.MatchRule( generic_ids={"channel_0x0006", "channel_0x0008"}, channel_names={"on_off", "level"}, ), True, ), # manufacturer matching (registries.MatchRule(manufacturer="no match"), False), (registries.MatchRule(manufacturer=MANUFACTURER), True), (registries.MatchRule(model=MODEL), True), (registries.MatchRule(model="no match"), False), # match everything ( registries.MatchRule( generic_ids={"channel_0x0006", "channel_0x0008"}, channel_names={"on_off", "level"}, manufacturer=MANUFACTURER, model=MODEL, ), True, ), ], ) def test_registry_loose_matching(rule, matched, zha_device, channels): """Test loose rule matching.""" reg = registries.ZHAEntityRegistry() assert reg._loose_matched(zha_device, channels, rule) is matched

33.536145

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5,567

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0

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5,567

165

88

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0.046165

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0

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0

0.014184

1

0.035461

false

0

0.021277

0

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0

null

1

0

1

0

1

0

null

0

8

9d02aadc93e827bb43b46c1ba12034a55ec73612

301,169

py

Python

tests/data/big_array.py

HildeTeamTNT/pyarmor

a699f43baa766d8826f801021f1f483d19fdcb87

[ "OLDAP-2.5", "Python-2.0" ]

1,463

2017-09-30T02:46:56.000Z

2022-03-30T15:11:05.000Z

tests/data/big_array.py

HildeTeamTNT/pyarmor

a699f43baa766d8826f801021f1f483d19fdcb87

[ "OLDAP-2.5", "Python-2.0" ]

702

2016-12-02T23:47:21.000Z

2022-03-31T08:14:00.000Z

tests/data/big_array.py

HildeTeamTNT/pyarmor

a699f43baa766d8826f801021f1f483d19fdcb87

[ "OLDAP-2.5", "Python-2.0" ]

208

2018-01-17T05:55:55.000Z

2022-03-29T18:27:47.000Z

def foo(): a0 = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] a1 = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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] a2 = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1] a3 = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1, 1, 1, 1] a4 = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1, 1, 1, 1, 1, 1, 1] a5 = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] a6 = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] a7 = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] a8 = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] a9 = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] a10 = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] a21 = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] a22 = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] a30 = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] a31 = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] a41 = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] a98 = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] a99 = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] print('a99 is %s' % a99) if __name__ == '__main__': foo()

2,814.663551

3,010

0.333139

100,111

301,169

1.002118

0.001089

1.991567

2.984361

3.97516

0.99678

0

0.499604

0.334105

301,169

106

3,011

2,841.216981

0.000643

0

0.000056

0

1

0.009615

false

0

0.009615

0

1

null

1

0

1

0

1

0

null

0

14

9d2fa1a283f769cccbed5fa57e4e9ffc64c673ee

147

py

Python

crawler/admin.py

JeetThakare/goodread

c4ee8d29a8d4836fa8e6d5dfbd3eceb4d7e7ea48

[ "MIT" ]

1

2020-06-14T09:19:04.000Z

crawler/admin.py

JeetThakare/goodread

c4ee8d29a8d4836fa8e6d5dfbd3eceb4d7e7ea48

[ "MIT" ]

6

2021-03-18T21:12:37.000Z

2022-02-10T06:55:11.000Z

crawler/admin.py

JeetThakare/goodread

c4ee8d29a8d4836fa8e6d5dfbd3eceb4d7e7ea48

[ "MIT" ]

3

2018-11-21T03:38:32.000Z

2019-02-26T22:02:59.000Z

from django.contrib import admin from .models import Link, Topic, Article, ArticleTopic admin.site.register([Link, Topic, Article, ArticleTopic])

29.4

57

0.795918

19

147

6.157895

0.631579

0.153846

0.273504

0.478632

0

0.108844

147

4

58

36.75

0.89313

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

7

19e19fb3dd0846ddfbf706ef88912edbef64fa56

6,337

py

Python

tests.py

Wida7/CheessMoves

378dbb7f5ee3137cf2d75a1030b7601b19530daa

[ "MIT" ]

null

tests.py

Wida7/CheessMoves

378dbb7f5ee3137cf2d75a1030b7601b19530daa

[ "MIT" ]

null

tests.py

Wida7/CheessMoves

378dbb7f5ee3137cf2d75a1030b7601b19530daa

[ "MIT" ]

null

from unittest import TestCase from movimientos import * class Test_movimientos(TestCase): def test_tablero_a_cadena(self): dado = [] espero = "" obtengo = tablero_a_cadena(dado) self.assertEquals(espero, obtengo) def test_obtener_nombre_pieza(self): dado = [] espero = "" obtengo = obtener_nombre_pieza(dado) self.assertEquals(espero, obtengo) from unittest import TestCase from movimientos import * class Test_movimientos(TestCase): def test_tablero_a_cadena(self): dado = [] espero = "" obtengo = tablero_a_cadena(dado) self.assertEquals(espero, obtengo) def test_obtener_nombre_pieza(self): dado = 'R' espero = "Rey Negro" obtengo = obtener_nombre_pieza(dado) self.assertEqual(espero, obtengo) dado = 'Q' espero = "Reina Negra" obtengo = obtener_nombre_pieza(dado) self.assertEquals(espero, obtengo) self.assertEquals(espero, obtengo) dado = 'P' espero = "Peon Negro" obtengo = obtener_nombre_pieza(dado) self.assertEquals(espero, obtengo) dado = 'T' espero = "Torre Negro" obtengo = obtener_nombre_pieza(dado) self.assertEquals(espero, obtengo) dado = 'A' espero = "Alfil Negro" obtengo = obtener_nombre_pieza(dado) self.assertEquals(espero, obtengo) dado = 'K' espero = "Caballo Negro" obtengo = obtener_nombre_pieza(dado) self.assertEquals(espero, obtengo) def test_mover_torre(self): dado = [ [['t', 'k', 'a', 'q', 'r', 'a', 'k', 't'], [' ', 'p', 'p', 'p', 'p', 'p', 'p', 'p'], [' ', ' ', ' ', ' ', ' ', ' ', ' ', ' '], [' ', ' ', ' ', ' ', ' ', ' ', ' ', ' '], [' ', ' ', ' ', ' ', ' ', ' ', ' ', ' '], [' ', ' ', ' ', ' ', ' ', ' ', ' ', ' '], ['P', 'P', 'P', 'P', 'P', 'P', 'P', 'P'], ['T', 'K', 'A', 'R', 'Q', 'A', 'K', 'T']], 0, 0, 5, 0 ] espero = [ [' ', 'k', 'a', 'q', 'r', 'a', 'k', 't'], [' ', 'p', 'p', 'p', 'p', 'p', 'p', 'p'], [' ', ' ', ' ', ' ', ' ', ' ', ' ', ' '], [' ', ' ', ' ', ' ', ' ', ' ', ' ', ' '], [' ', ' ', ' ', ' ', ' ', ' ', ' ', ' '], ['t', ' ', ' ', ' ', ' ', ' ', ' ', ' '], ['P', 'P', 'P', 'P', 'P', 'P', 'P', 'P'], ['T', 'K', 'A', 'R', 'Q', 'A', 'K', 'T'] ] obtengo = mover_torre(dado[0], dado[0], dado[0], dado[0], dado[5]) self.assertEquals(espero, obtengo) self.assertRaises(ValueError) dado = [ [['t', 'k', 'a', 'q', 'r', 'a', 'k', 't'], ['p', 'p', 'p', 'p', 'p', 'p', 'p', 'p'], [' ', ' ', ' ', ' ', ' ', ' ', ' ', ' '], [' ', ' ', ' ', ' ', ' ', ' ', ' ', ' '], [' ', ' ', ' ', ' ', ' ', ' ', ' ', ' '], [' ', ' ', ' ', ' ', ' ', ' ', ' ', ' '], ['P', 'P', 'P', 'P', 'P', 'P', 'P', 'P'], ['T', 'K', 'A', 'R', 'Q', 'A', 'K', 'T']], 0, 0, 0, 0 ] espero = [ ['t', 'k', 'a', 'q', 'r', 'a', 'k', 't'], ['p', 'p', 'p', 'p', 'p', 'p', 'p', 'p'], [' ', ' ', ' ', ' ', ' ', ' ', ' ', ' '], [' ', ' ', ' ', ' ', ' ', ' ', ' ', ' '], [' ', ' ', ' ', ' ', ' ', ' ', ' ', ' '], [' ', ' ', ' ', ' ', ' ', ' ', ' ', ' '], ['P', 'P', 'P', 'P', 'P', 'P', 'P', 'P'], ['T', 'K', 'A', 'R', 'Q', 'A', 'K', 'T'] ] obtengo = mover_torre(dado[0], dado[0], dado[0], dado[0], dado[0]) self.assertEquals(espero, obtengo) self.assertEqual(ValueError) def test_mover_rey(self): dado = [ [['t', 'k', 'a', 'q', 'r', 'a', 'k', 't'], ['p ', 'p', 'p', 'p', 'p', 'p', 'p', 'p'], [' ', ' ', ' ', ' ', ' ', ' ', ' ', ' '], [' ', ' ', ' ', ' ', ' ', ' ', ' ', ' '], [' ', ' ', ' ', ' ', ' ', ' ', ' ', ' '], [' ', ' ', ' ', ' ', ' ', ' ', ' ', ' '], ['P', 'P', 'P', 'P', 'P', 'P', 'P', 'P'], ['T', 'K', 'A', 'R', 'Q', 'A', 'K', 'T']], 0, 4, 0, 5 ] espero = [ ['t', 'k', 'a', 'q', 'r', 'a', 'k', 't'], ['p', 'p', 'p', 'p', 'p', 'p', 'p', 'p'], [' ', ' ', ' ', ' ', ' ', ' ', ' ', ' '], [' ', ' ', ' ', ' ', ' ', ' ', ' ', ' '], [' ', ' ', ' ', ' ', ' ', ' ', ' ', ' '], ['', ' ', ' ', ' ', ' ', ' ', ' ', ' '], ['P', 'P', 'P', 'P', 'P', 'P', 'P', 'P'], ['T', 'K', 'A', 'R', 'Q', 'A', 'K', 'T'] ] obtengo = test_mover_rey(dado[0], dado[0], dado[0], dado[0], dado[5]) self.assertEquals(espero, obtengo) self.assertRaises(ValueError) def test_mover_rey(self): dado = [ [['t', 'k', 'a', 'q', '', 'a', 'k', 't'], ['p ', 'p', 'p', 'p', 'r', 'p', 'p', 'p'], [' ', ' ', ' ', ' ', ' ', ' ', ' ', ' '], [' ', ' ', ' ', ' ', ' ', ' ', ' ', ' '], [' ', ' ', ' ', ' ', ' ', ' ', ' ', ' '], [' ', ' ', ' ', ' ', ' ', ' ', ' ', ' '], ['P', 'P', 'P', 'P', 'P', 'P', 'P', 'P'], ['T', 'K', 'A', 'R', 'Q', 'A', 'K', 'T']], 0, 5, 1, 5 ] espero = [ ['t', 'k', 'a', 'q', 'r', 'a', 'k', 't'], ['p', 'p', 'p', 'p', 'p', 'p', 'p', 'p'], [' ', ' ', ' ', ' ', ' ', ' ', ' ', ' '], [' ', ' ', ' ', ' ', ' ', ' ', ' ', ' '], [' ', ' ', ' ', ' ', ' ', ' ', ' ', ' '], ['', ' ', ' ', ' ', ' ', ' ', ' ', ' '], ['P', 'P', 'P', 'P', 'P', 'P', 'P', 'P'], ['T', 'K', 'A', 'R', 'Q', 'A', 'K', 'T'] ] obtengo = test_mover_rey(dado[0], dado[0], dado[0], dado[1], dado[5]) self.assertEquals(espero, obtengo) print("espero\n", tablero_a_cadena(espero))

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0.077064

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0.89593

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0.806977

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6,337

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0

1

0

1

0

1

0

null

0

10

19e4feae4349f325e74f402a4675e24ea6c31457

7,300

py

Python

tests/jobs/test_jobs.py

oso1248/budAPI

87c5b1d41249273e30f6b590d9218afe195047e6

[ "MIT" ]

null

tests/jobs/test_jobs.py

oso1248/budAPI

87c5b1d41249273e30f6b590d9218afe195047e6

[ "MIT" ]

null

tests/jobs/test_jobs.py

oso1248/budAPI

87c5b1d41249273e30f6b590d9218afe195047e6

[ "MIT" ]

null

from api.validators import val_jobs def test_get_all_jobs(authorized_client, test_job_data): res = authorized_client.get('/jobs') assert len(res.json()) == len(test_job_data) assert res.status_code == 200 def test_get_all_jobs_empty(authorized_client): res = authorized_client.get('/jobs') assert res.status_code == 404 def test_get_all_jobs_unauthorized(authorized_client_permissions_0): res = authorized_client_permissions_0.get('/jobs') assert res.status_code == 403 def test_get_one_jobs(authorized_client, test_job_data): res = authorized_client.get('/jobs/1') job = val_jobs.JobOut(**res.json()) assert job.id == 1 assert res.status_code == 200 def test_get_one_jobs_empty(authorized_client, test_job_data): res = authorized_client.get('/jobs/5') assert res.status_code == 404 def test_get_one_jobs_unauthorized(authorized_client_permissions_0): res = authorized_client_permissions_0.get('/jobs/1') assert res.status_code == 403 def test_create_job(authorized_client): res = authorized_client.post('/jobs', json={ "name": "Releasing", "area": "Finishing", "is_active": True, "is_work_restriction": False }) new_user = val_jobs.JobOut(**res.json()) assert new_user.name == 'Releasing' assert res.status_code == 201 def test_create_job_unauthorized(authorized_client_permissions_0): res = authorized_client_permissions_0.post('/jobs', json={ "name": "Releasing", "area": "Finishing", "is_active": True, "is_work_restriction": False }) assert res.status_code == 403 def test_update_job(authorized_client, test_job_data): res = authorized_client.put('/jobs/1', json={ "name": "Support 1", "area": "Finishing", "is_active": False, "is_work_restriction": False }) data = val_jobs.JobOut(**res.json()) assert data.name == 'Support 1' assert data.is_active == False assert res.status_code == 200 def test_update_job_empty(authorized_client, test_job_data): res = authorized_client.put('/jobs/50', json={ "name": "Support 1", "area": "Finishing", "is_active": False, "is_work_restriction": False }) assert res.status_code == 404 def test_update_job_unauthorized(authorized_client_permissions_0): res = authorized_client_permissions_0.put('/jobs/1', json={ "name": "Support 1", "area": "Finishing", "is_active": False, "is_work_restriction": False }) assert res.status_code == 403 def test_delete_job(admin_authorized_client, test_job_data): res = admin_authorized_client.delete('/jobs/1') assert res.status_code == 205 def test_delete_job_unauthorized(authorized_client, test_job_data): res = authorized_client.delete('/jobs/1') assert res.status_code == 403 def test_update_skap(authorized_client, test_job_data, test_user_job_data): res = authorized_client.put('/jobs/userjobs', json={ "id_users": 1, "id_jobs": 2, "skap": 1 }) data = val_jobs.UserJobOut(**res.json()) assert data.brewer.id == 1 assert data.job.id == 2 assert data.skap == 1 assert res.status_code == 200 def test_update_skap_empty_user(authorized_client, test_job_data, test_user_job_data): res = authorized_client.put('/jobs/userjobs', json={ "id_users": 50, "id_jobs": 2, "skap": 1 }) assert res.status_code == 404 def test_update_skap_empty_job(authorized_client, test_job_data, test_user_job_data): res = authorized_client.put('/jobs/userjobs', json={ "id_users": 1, "id_jobs": 50, "skap": 1 }) assert res.status_code == 404 def test_update_skap_unauthorized(authorized_client_permissions_0): res = authorized_client_permissions_0.put('/jobs/userjobs', json={ "id_users": 1, "id_jobs": 50, "skap": 1 }) assert res.status_code == 403 def test_add_job_to_user(authorized_client, test_job_data): res = authorized_client.post('/jobs/userjobs', json={ "id_users": 1, "id_jobs": 2, "skap": 6 }) data = val_jobs.UserJobOut(**res.json()) assert data.brewer.id == 1 assert data.job.id == 2 assert data.skap == 6 assert res.status_code == 201 def test_add_job_to_user_empty_user(authorized_client, test_job_data): res = authorized_client.post('/jobs/userjobs', json={ "id_users": 100, "id_jobs": 2, "skap": 6 }) assert res.status_code == 404 def test_add_job_to_user_empty_job(authorized_client, test_job_data): res = authorized_client.post('/jobs/userjobs', json={ "id_users": 1, "id_jobs": 200, "skap": 6 }) assert res.status_code == 404 def test_add_job_to_user_unauthorized(authorized_client_permissions_0): res = authorized_client_permissions_0.post('/jobs/userjobs', json={ "id_users": 1, "id_jobs": 200, "skap": 6 }) assert res.status_code == 403 def test_delete_job_from_user(authorized_client, test_job_data, test_user_job_data): res = authorized_client.delete('/jobs/userjobs', json={ "id_users": 1, "id_jobs": 2, }) assert res.status_code == 205 def test_delete_job_from_user_empty_user(authorized_client, test_job_data, test_user_job_data): res = authorized_client.delete('/jobs/userjobs', json={ "id_users": 50, "id_jobs": 2, }) assert res.status_code == 404 def test_delete_job_from_user_empty_job(authorized_client, test_job_data, test_user_job_data): res = authorized_client.delete('/jobs/userjobs', json={ "id_users": 1, "id_jobs": 50, }) assert res.status_code == 404 def test_delete_job_from_user_unauthorized(authorized_client_permissions_0): res = authorized_client_permissions_0.delete('/jobs/userjobs', json={ "id_users": 1, "id_jobs": 2, }) assert res.status_code == 403 def test_get_job_with_users(authorized_client, test_job_data, test_user_job_data): res = authorized_client.get('/jobs/userjobs/jobs/1') data = res.json() data[0]['job']['id'] == data[1]['job']['id'] assert res.status_code == 200 def test_get_job_with_users_empty_job(authorized_client, test_job_data, test_user_job_data): res = authorized_client.get('/jobs/userjobs/jobs/50') assert res.status_code == 404 def test_get_job_with_users_unauthorized(authorized_client_permissions_0): res = authorized_client_permissions_0.get('/jobs/userjobs/jobs/50') assert res.status_code == 403 def test_get_user_with_jobs(authorized_client, test_job_data, test_user_job_data): res = authorized_client.get('/jobs/userjobs/users/1') data = res.json() data[0]['brewer']['id'] == data[1]['brewer']['id'] assert res.status_code == 200 def test_get_user_with_jobs_empty_user(authorized_client, test_job_data, test_user_job_data): res = authorized_client.get('/jobs/userjobs/users/50') assert res.status_code == 404 def test_get_user_with_jobs_unauthorized(authorized_client_permissions_0): res = authorized_client_permissions_0.get('/jobs/userjobs/users/1') assert res.status_code == 403

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0.064229

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0.100606

0.127434

0.953483

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0.779965

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0.174863

0

null

1

0

1

0

null

0

7

c203f1ce529aa794a9b16333fd38d7b050480251

152

py

Python

fiberorient/__init__.py

scott-trinkle/fiberorient

306cf2741008eb46a97cfccdcf81e9ec33189a8d

[ "MIT" ]

null

fiberorient/__init__.py

scott-trinkle/fiberorient

306cf2741008eb46a97cfccdcf81e9ec33189a8d

[ "MIT" ]

null

fiberorient/__init__.py

scott-trinkle/fiberorient

306cf2741008eb46a97cfccdcf81e9ec33189a8d

[ "MIT" ]

null

from .structuretensor import StructureTensor from . import structuretensor from . import odf from . import util from . import vis from . import metrics

21.714286

44

0.802632

19

152

6.421053

0.368421

0.409836

0.508197

0

0.157895

152

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45

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0.953125

0

1

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true

0

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1

0

1

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null

1

0

1

0

null

0

1

0

1

0

1

0

8

a06fcd4f63299064903f1abfe79d453ba216eea6

1,091

py

Python

jinjiang/model.py

lanmaoxinqing/python-qidian-recommend

5f03d5cbd18b144502513b8441e698e8fb1f8089

[ "MIT" ]

2

2018-08-14T08:34:35.000Z

2022-03-18T09:22:18.000Z

jinjiang/model.py

lanmaoxinqing/python-qidian-recommend

5f03d5cbd18b144502513b8441e698e8fb1f8089

[ "MIT" ]

null

jinjiang/model.py

lanmaoxinqing/python-qidian-recommend

5f03d5cbd18b144502513b8441e698e8fb1f8089

[ "MIT" ]

null

# !/usr/bin/python3 # -*- coding: utf-8 -*- from peewee import * import asyncio db = SqliteDatabase('jinjiang.db') host = 'http://www.jjwxc.net' sem = asyncio.Semaphore(5) class Base(Model): class Meta: database = db class FreeRank(Base): id = TextField(primary_key=True) book_name = TextField() book_url = TextField() author_name = TextField(null=True) author_url = TextField(null=True) category = TextField(null=True) tag = TextField(null=True) state = TextField(null=True) recommend_reason = TextField(null=True) word_count = BigIntegerField(null=True) collect_count = BigIntegerField(null=True) class VipRank(Base): id = TextField(primary_key=True) book_name = TextField() book_url = TextField() author_name = TextField(null=True) author_url = TextField(null=True) category = TextField(null=True) tag = TextField(null=True) state = TextField(null=True) recommend_reason = TextField(null=True) word_count = BigIntegerField(null=True) collect_count = BigIntegerField(null=True)

23.717391

46

0.690192

133

1,091

5.541353

0.353383

0.173677

0.276798

0.151967

0.762551

0

0.003405

0.192484

1,091

45

47

24.244444

0.833144

0.035747

0

0.6875

0

0.029608

0

1

0

false

0

0.0625

0

0.875

0

null

0

1

0

1

0

null

0

1

0

7

26171f44a670e4841737bb7e6dd136cf5b387dd9

10,559

py

Python

test/test_integration/test_sync_local_to_local.py

dkleissa/hybrid-object-store

fa3ece6b272f4f060128a8c49b7fb38ab23e1608

[ "MIT" ]

null

test/test_integration/test_sync_local_to_local.py

dkleissa/hybrid-object-store

fa3ece6b272f4f060128a8c49b7fb38ab23e1608

[ "MIT" ]

null

test/test_integration/test_sync_local_to_local.py

dkleissa/hybrid-object-store

fa3ece6b272f4f060128a8c49b7fb38ab23e1608

[ "MIT" ]

1

2022-02-24T15:30:39.000Z

import hoss import hoss.error import time import pytest class TestSyncLocalToLocal: def test_sync_simplex(self, fixture_sync_config_local_local): _, ns_src, ns_tgt, ds_src_name = fixture_sync_config_local_local ds_src = ns_src.create_dataset(ds_src_name, "source dataset") assert ds_src.is_sync_enabled() is False assert ds_src.sync_type is None assert ds_src.sync_policy is None # Dataset should not exist in target yet with pytest.raises(hoss.error.NotFoundException): ns_tgt.get_dataset(ds_src_name) # Enable namespace syncing ns_src.enable_sync_target("http://localhost", "simplex", "ns-tgt") sync_config = ns_src.get_sync_configuration() assert sync_config['sync_enabled'] is True assert len(sync_config['sync_targets']) == 1 assert sync_config['sync_targets'][0]['target_core_service'] == "http://localhost/core/v1" assert sync_config['sync_targets'][0]['target_namespace'] == "ns-tgt" assert sync_config['sync_targets'][0]['sync_type'] == "simplex" # Enable dataset sync ds_src.enable_sync("simplex") assert ds_src.is_sync_enabled() is True time.sleep(5) ds_src = ns_src.get_dataset(ds_src_name) assert ds_src.sync_type == "simplex" assert ds_src.sync_policy is not None assert ds_src.sync_policy.get("Version") == '1' assert len(ds_src.sync_policy.get("Statements")) == 0 print('waiting for api event processing and demuxer reload timeout...') ds_tgt = None for cnt in range(15): try: ds_tgt = ns_tgt.get_dataset(ds_src_name) print(f"Target Dataset ready in {5 * cnt} seconds") break except (hoss.error.NotFoundException, hoss.error.HossException): time.sleep(5) continue if not ds_tgt: raise Exception("Failed to load target dataset.") # Write a file in the source and watch it end up in the target f_src = ds_src / 'test.txt' f_tgt = ds_tgt / 'test.txt' assert f_src.exists() is False assert f_tgt.exists() is False f_src.write_text("a file written in the source dataset", metadata={"key1": "value1", "key2": "value2"}) for cnt in range(30): try: assert f_src.exists() is True assert f_tgt.exists() is True print(f"Objects correct in {cnt} seconds") break except AssertionError: time.sleep(1) continue assert f_src.read_text() == f_tgt.read_text() assert f_tgt.metadata["key1"] == "value1" assert f_tgt.metadata["key2"] == "value2" # Make sure URL parsing is working OK. include spaces and plus sign. # Write a file in the source and watch it end up in the target f_src = ds_src / 'test + 1 (3).txt' f_tgt = ds_tgt / 'test + 1 (3).txt' assert f_src.exists() is False assert f_tgt.exists() is False f_src.write_text("a file written in the source dataset again.") for cnt in range(30): try: assert f_src.exists() is True assert f_tgt.exists() is True print(f"Objects correct in {cnt} seconds") break except AssertionError: time.sleep(1) continue assert f_src.read_text() == f_tgt.read_text() == "a file written in the source dataset again." # The opposite should not work with simplex syncing f_src = ds_src / 'test2.txt' f_tgt = ds_tgt / 'test2.txt' assert f_src.exists() is False assert f_tgt.exists() is False f_tgt.write_text("a file written in the target dataset") time.sleep(5) assert f_src.exists() is False assert f_tgt.exists() is True def test_sync_duplex(self, fixture_sync_config_local_local): _, ns_src, ns_tgt, ds_src_name = fixture_sync_config_local_local ds_src = ns_src.create_dataset(ds_src_name, "source dataset") assert ds_src.is_sync_enabled() is False # Dataset should not exist in target yet with pytest.raises(hoss.error.NotFoundException): ns_tgt.get_dataset(ds_src_name) # Enable namespace syncing ns_src.enable_sync_target("http://localhost", "duplex", "ns-tgt") time.sleep(5) sync_config = ns_src.get_sync_configuration() assert sync_config['sync_enabled'] is True assert len(sync_config['sync_targets']) == 1 assert sync_config['sync_targets'][0]['target_core_service'] == "http://localhost/core/v1" assert sync_config['sync_targets'][0]['target_namespace'] == "ns-tgt" assert sync_config['sync_targets'][0]['sync_type'] == "duplex" # Enable dataset sync ds_src.enable_sync("duplex") assert ds_src.is_sync_enabled() is True ds_src = ns_src.get_dataset(ds_src.dataset_name) time.sleep(70) print('waiting for api event processing and demuxer reload timeout...') # Dataset should now exist in the target namespace ds_tgt = None for cnt in range(15): try: ds_tgt = ns_tgt.get_dataset(ds_src_name) print(f"Target Dataset ready in {5*cnt} seconds") break except (hoss.error.NotFoundException, hoss.error.HossException): time.sleep(5) continue if not ds_tgt: raise Exception("Failed to load target dataset.") time.sleep(10) # Write a file in the source and watch it end up in the target f_src = ds_src / 'test.txt' f_tgt = ds_tgt / 'test.txt' assert f_src.exists() is False assert f_tgt.exists() is False f_src.write_text("a file written in the source dataset", metadata={"key1": "value1", "write": "source"}) for cnt in range(60): try: assert f_src.exists() is True assert f_tgt.exists() is True print(f"Objects correct in {cnt} seconds") time.sleep(2) break except AssertionError: time.sleep(1) continue assert f_src.read_text() == f_tgt.read_text() assert f_src.metadata["key1"] == "value1" assert f_src.metadata["write"] == "source" assert f_tgt.metadata["key1"] == "value1" assert f_tgt.metadata["write"] == "source" # The opposite should work f_src = ds_src / 'test2.txt' f_tgt = ds_tgt / 'test2.txt' assert f_src.exists() is False assert f_tgt.exists() is False f_tgt.write_text("a file written in the target dataset", metadata={"key2": "value2", "write": "target"}) for cnt in range(30): try: assert f_src.exists() is True assert f_tgt.exists() is True print(f"Objects correct in {cnt} seconds") time.sleep(3) break except AssertionError: time.sleep(1) continue assert f_src.read_text() == f_tgt.read_text() assert f_src.metadata["key2"] == "value2" assert f_src.metadata["write"] == "target" assert f_tgt.metadata["key2"] == "value2" assert f_tgt.metadata["write"] == "target" def test_sync_simplex_existing(self, fixture_sync_config_local_local): _, ns_src, ns_tgt, ds_src_name = fixture_sync_config_local_local ds_src = ns_src.create_dataset(ds_src_name, "source dataset") assert ds_src.is_sync_enabled() is False assert ds_src.sync_type is None assert ds_src.sync_policy is None # Dataset should not exist in target yet with pytest.raises(hoss.error.NotFoundException): ns_tgt.get_dataset(ds_src_name) # Enable namespace syncing ns_src.enable_sync_target("http://localhost", "simplex", "ns-tgt") sync_config = ns_src.get_sync_configuration() assert sync_config['sync_enabled'] is True assert len(sync_config['sync_targets']) == 1 assert sync_config['sync_targets'][0]['target_core_service'] == "http://localhost/core/v1" assert sync_config['sync_targets'][0]['target_namespace'] == "ns-tgt" assert sync_config['sync_targets'][0]['sync_type'] == "simplex" # Write some data f1_src = ds_src / 'test1.txt' f2_src = ds_src / 'test2.txt' assert f1_src.exists() is False assert f2_src.exists() is False f1_src.write_text("a file written in the source dataset", metadata={"key1": "value1", "key2": "value2"}) f2_src.write_text("a file written in the source dataset", metadata={"key1": "value1", "key2": "value2"}) # Enable dataset sync ds_src.enable_sync("simplex") assert ds_src.is_sync_enabled() is True time.sleep(5) ds_src = ns_src.get_dataset(ds_src_name) assert ds_src.sync_type == "simplex" assert ds_src.sync_policy is not None assert ds_src.sync_policy.get("Version") == '1' assert len(ds_src.sync_policy.get("Statements")) == 0 print('waiting for api event processing and demuxer reload timeout...') ds_tgt = None for cnt in range(15): try: ds_tgt = ns_tgt.get_dataset(ds_src_name) print(f"Target Dataset ready in {5 * cnt} seconds") break except (hoss.error.NotFoundException, hoss.error.HossException): time.sleep(5) continue if not ds_tgt: raise Exception("Failed to load target dataset.") # Files should already exist in the target f1_tgt = ds_tgt / 'test1.txt' f2_tgt = ds_tgt / 'test2.txt' for cnt in range(30): try: assert f1_tgt.exists() is True assert f2_tgt.exists() is True print(f"Objects correct in {cnt} seconds") break except AssertionError: time.sleep(1) continue assert f1_src.read_text() == f1_tgt.read_text() assert f2_src.read_text() == f2_tgt.read_text() assert f1_tgt.metadata["key1"] == "value1" assert f2_tgt.metadata["key2"] == "value2"

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null

0

1

0

1

0

null

0

7

262a3095af6b6ae14fd7976ba46aa119d8ad9f43

8,071

py

Python

diffopt/distributions/quadratic.py

brandontrabucco/controls

16ccff9b4cb7598c7971669422ece0b17fc2a975

[ "MIT" ]

1

2020-01-13T04:10:57.000Z

diffopt/distributions/quadratic.py

brandontrabucco/controls

16ccff9b4cb7598c7971669422ece0b17fc2a975

[ "MIT" ]

4

2020-11-13T18:33:37.000Z

2022-02-10T00:33:34.000Z

diffopt/distributions/quadratic.py

brandontrabucco/controls

16ccff9b4cb7598c7971669422ece0b17fc2a975

[ "MIT" ]

1

2020-02-12T02:55:35.000Z

"""Author: Brandon Trabucco, Copyright 2019, MIT License""" from diffopt.distributions.continuous.gaussian import Gaussian from diffopt.distributions.continuous.deterministic import Deterministic import tensorflow as tf class QuadraticGaussian(Gaussian): def __init__(self, mean, centers, covariance, jacobians, hessians): """Create a distribution for a quadratic gaussian. Args: - mean: a mean for the quadratic gaussian with shape [batch_dim, output_dim] - centers[i]: the center of the taylor approximation with shape [batch_dim, input_dim[i]] - covariance: a covariance matrix for the linear gaussian with shape [batch_dim, output_dim, output_dim] - jacobians[i]: a jacobian of the output wrt. input[i] with shape [batch_dim, output_dim, input_dim[i]] - hessians[i][j]: a hessian of the output wrt. input[i] and input[j] with shape [batch_dim, output_dim, input_dim[i], input_dim[j]] """ def quadratic_gaussian_model(time, inputs): delta = 0.0 for jacobian, x, x0 in zip(jacobians, inputs, centers): x = x - (x0 if x0 is not None else 0) if jacobian is not None and not tf.reduce_all(tf.equal(jacobian, 0)): delta = delta + ( jacobian @ x[:, :, tf.newaxis])[:, :, 0] for tmp, x, x0 in zip(hessians, inputs, centers): x = x - (x0 if x0 is not None else 0) for hessian, y, y0 in zip(tmp, inputs, centers): y = y - (y0 if y0 is not None else 0) if hessian is not None and not tf.reduce_all(tf.equal(hessian, 0)): out = tf.matmul(x[:, tf.newaxis, :, tf.newaxis], hessian, transpose_a=True) out = tf.matmul(out, y[:, tf.newaxis, :, tf.newaxis]) delta = delta + 0.5 * out[:, :, 0, 0] return (delta + (mean if mean is not None else 0), tf.linalg.sqrtm(covariance), tf.linalg.inv(covariance), tf.linalg.logdet(covariance)) Gaussian.__init__(self, quadratic_gaussian_model) class TimeVaryingQuadraticGaussian(Gaussian): def __init__(self, mean, centers, covariance, jacobians, hessians): """Create a distribution for a time varying quadratic gaussian. Args: - mean: a mean for the linear gaussian with shape [T, batch_dim, output_dim] - centers[i]: the center of the taylor approximation with shape [T, batch_dim, input_dim[i]] - covariance: a covariance matrix for the quadratic gaussian with shape [T, batch_dim, output_dim, output_dim] - jacobians[i]: a jacobian of the output wrt. input[i] with shape [T, batch_dim, output_dim, input_dim[i]] - hessians[i][j]: a hessian of the output wrt. input[i] and input[j] with shape [T, batch_dim, output_dim, input_dim[i], input_dim[j]] """ def quadratic_gaussian_model(time, inputs): delta = 0.0 for jacobian, x, x0 in zip(jacobians, inputs, centers): x = x - (x0[time] if x0 is not None else 0) if jacobian is not None and not tf.reduce_all(tf.equal(jacobian, 0)): delta = delta + ( jacobian[time] @ x[:, :, tf.newaxis])[:, :, 0] for tmp, x, x0 in zip(hessians, inputs, centers): x = x - (x0[time] if x0 is not None else 0) for hessian, y, y0 in zip(tmp, inputs, centers): y = y - (y0[time] if y0 is not None else 0) if hessian is not None and not tf.reduce_all(tf.equal(hessian, 0)): out = tf.matmul(x[:, tf.newaxis, :, tf.newaxis], hessian, transpose_a=True) out = tf.matmul(out, y[:, tf.newaxis, :, tf.newaxis]) delta = delta + 0.5 * out[:, :, 0, 0] return (delta + (mean[time] if mean is not None else 0), tf.linalg.sqrtm(covariance[time]), tf.linalg.inv(covariance[time]), tf.linalg.logdet(covariance[time])) Gaussian.__init__(self, quadratic_gaussian_model) class Quadratic(Deterministic): def __init__(self, mean, centers, jacobians, hessians): """Create a distribution for a quadratic variable. Args: - mean: the mean of the quadratic function with shape [batch_dim, output_dim] - centers[i]: the center of the taylor approximation with shape [batch_dim, input_dim[i]] - jacobians[i]: a jacobian of the output wrt. input[i] with shape [batch_dim, output_dim, input_dim[i]] - hessians[i][j]: a hessian of the output wrt. input[i] and input[j] with shape [batch_dim, output_dim, input_dim[i], input_dim[j]] """ def quadratic_model(time, inputs): delta = 0.0 for jacobian, x, x0 in zip(jacobians, inputs, centers): x = x - (x0 if x0 is not None else 0) if jacobian is not None and not tf.reduce_all(tf.equal(jacobian, 0)): delta = delta + ( jacobian @ x[:, :, tf.newaxis])[:, :, 0] for tmp, x, x0 in zip(hessians, inputs, centers): x = x - (x0 if x0 is not None else 0) for hessian, y, y0 in zip(tmp, inputs, centers): y = y - (y0 if y0 is not None else 0) if hessian is not None and not tf.reduce_all(tf.equal(hessian, 0)): out = tf.matmul(x[:, tf.newaxis, :, tf.newaxis], hessian, transpose_a=True) out = tf.matmul(out, y[:, tf.newaxis, :, tf.newaxis]) delta = delta + 0.5 * out[:, :, 0, 0] return delta + (mean if mean is not None else 0), Deterministic.__init__(self, quadratic_model) class TimeVaryingQuadratic(Deterministic): def __init__(self, mean, centers, jacobians, hessians): """Create a distribution for a time varying quadratic variable. Args: - mean: the mean of the quadratic function with shape [T, batch_dim, output_dim] - centers[i]: the center of the taylor approximation with shape [T, batch_dim, input_dim[i]] - jacobians[i]: a jacobian of the output wrt. input[i] with shape [T, batch_dim, output_dim, input_dim[i]] - hessians[i][j]: a hessian of the output wrt. input[i] and input[j] with shape [T, batch_dim, output_dim, input_dim[i], input_dim[j]] """ def quadratic_model(time, inputs): delta = 0.0 for jacobian, x, x0 in zip(jacobians, inputs, centers): x = x - (x0[time] if x0 is not None else 0) if jacobian is not None and not tf.reduce_all(tf.equal(jacobian, 0)): delta = delta + ( jacobian[time] @ x[:, :, tf.newaxis])[:, :, 0] for tmp, x, x0 in zip(hessians, inputs, centers): x = x - (x0[time] if x0 is not None else 0) for hessian, y, y0 in zip(tmp, inputs, centers): y = y - (y0[time] if y0 is not None else 0) if hessian is not None and not tf.reduce_all(tf.equal(hessian, 0)): out = tf.matmul(x[:, tf.newaxis, :, tf.newaxis], hessian[time], transpose_a=True) out = tf.matmul(out, y[:, tf.newaxis, :, tf.newaxis]) delta = delta + 0.5 * out[:, :, 0, 0] return delta + (mean[time] if mean is not None else 0), Deterministic.__init__(self, quadratic_model)

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0

null

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1

0

1

0

null

0

7

cd1bc52aae6835489da51cb915c423919a4827f1

2,678

py

Python

astraviso/test/projectionutils.py

bradsease/test2

0925f1a170b2e1d7c09902cd8550dc844b7d7764

[ "MIT" ]

null

astraviso/test/projectionutils.py

bradsease/test2

0925f1a170b2e1d7c09902cd8550dc844b7d7764

[ "MIT" ]

44

2017-02-22T23:38:52.000Z

2017-03-02T03:27:11.000Z

astraviso/test/projectionutils.py

bradsease/test

0925f1a170b2e1d7c09902cd8550dc844b7d7764

[ "MIT" ]

null

""" projectionutils unit tests. """ from __future__ import division import unittest import numpy as np from astraviso import projectionutils class imageutilstests(unittest.TestCase): """ Imageutils unit test class. """ def setUp(self): pass def tearDown(self): pass class test_pinhole_project(imageutilstests): """ Test pinhole_project function. """ def test_single_pinhole(self): """ Test single point projection. """ # Build input vector vector = np.array([0, 0, 1]) # Project with 3 pixel resolution img_x, img_y = projectionutils.pinhole_project(vector, 93, 0.016, 3) # Check result self.assertIsInstance(img_x, np.ndarray, "X coordinate output should be ndarray.") self.assertIsInstance(img_y, np.ndarray, "X coordinate output should be ndarray.") self.assertEqual(len(img_x), 1, "Output dimension should equal input dimension") self.assertEqual(len(img_x), len(img_y), "Number of x and y coordinates should be equal.") self.assertEqual(img_x[0], img_y[0], "Coordinate values should be equal.") self.assertEqual(img_x[0], 1, "Coordinate values should be 1.") # Project with 4 pixel resolution img_x, img_y = projectionutils.pinhole_project(vector, 93, 0.016, 4) # Check result self.assertIsInstance(img_x, np.ndarray, "X coordinate output should be ndarray.") self.assertIsInstance(img_y, np.ndarray, "X coordinate output should be ndarray.") self.assertEqual(len(img_x), 1, "Output dimension should equal input dimension") self.assertEqual(len(img_x), len(img_y), "Number of x and y coordinates should be equal.") self.assertEqual(img_x[0], img_y[0], "Coordinate values should be equal.") self.assertEqual(img_x[0], 1.5, "Coordinate values should be 1.5.") def test_multiple_pinhole(self): """ Test multiple point projection. """ # Build input vector vector = np.array([[0, 0, 1], [0, 0, -1]]) # Convert img_x, img_y = projectionutils.pinhole_project(vector, 93, 0.016, 256) # Check result self.assertIsInstance(img_x, np.ndarray, "X coordinate output should be ndarray.") self.assertIsInstance(img_y, np.ndarray, "X coordinate output should be ndarray.") self.assertEqual(len(img_x), 2, "Output dimension should equal input dimension") self.assertEqual(len(img_x), len(img_y), "Number of x and y coordinates should be equal.") self.assertTrue(all(img_x == img_y), "For this case, coordinates should be equal.")

37.71831

98

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4.826331

0.19888

0.039466

0.080093

0.069646

0.745212

0.716193

0

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0.23301

2,678

70

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0

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0

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0

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0

1

0

null

0

1

0

1

0

7

26a6d37e9769666642b452ed3b4208886208a590

3,859

py

Python

tests/test_integration.py

tlancaster6/InternetOfFish

413d53f83a98bfd537fd2789c8943f06d6d3ee63

[ "MIT" ]

1

2022-03-14T21:44:50.000Z

tests/test_integration.py

tlancaster6/InternetOfFish

413d53f83a98bfd537fd2789c8943f06d6d3ee63

[ "MIT" ]

null

tests/test_integration.py

tlancaster6/InternetOfFish

413d53f83a98bfd537fd2789c8943f06d6d3ee63

[ "MIT" ]

1

2022-03-22T18:51:15.000Z

import time import pytest from context import runner, metadata, mptools @pytest.fixture def mock_metadata(): mm = metadata.MetaDataDict() mm.quick_update({'owner': 'foo', 'species': 'bar', 'fish_type': 'other', 'model_id': 'efficientdet_new', }) yield mm.simplify() @pytest.fixture def testing_context(mock_metadata): yield mptools.MainContext(mock_metadata) @pytest.mark.parametrize('mode', ['active', 'passive']) def test_runner_startup(mocker, testing_context, mode): with testing_context as main_ctx: mptools.init_signals(main_ctx.shutdown_event, mptools.default_signal_handler, mptools.default_signal_handler) runner_patch = mocker.patch('context.runner.RunnerWorker.return_value.expected_mode', return_value=mode) mocker.patch('context.runner.RunnerWorker.return_value.logger.debug', new_callable=print) mocker.patch('context.runner.collector.CollectorWorker.return_value') mocker.patch('context.runner.detector.DetectorWorker.return_value') runner_proc = main_ctx.Proc('RUN', runner.RunnerWorker, main_ctx, persistent=True) runner_proc.startup_event.wait(10) assert runner_proc.startup_event.is_set() assert runner_proc.proc.is_alive() @pytest.mark.parametrize('mode', ['active', 'passive']) def test_runner_hard_shutdown(mocker, testing_context, mode): with testing_context as main_ctx: mptools.init_signals(main_ctx.shutdown_event, mptools.default_signal_handler, mptools.default_signal_handler) mocker.patch('context.runner.RunnerWorker.return_value.expected_mode', return_value=mode) mocker.patch('context.runner.RunnerWorker.return_value.logger.debug', new_callable=print) mocker.patch('context.runner.collector.CollectorWorker.return_value') mocker.patch('context.runner.detector.DetectorWorker.return_value') runner_proc = main_ctx.Proc('RUN', runner.RunnerWorker, main_ctx, persistent=True) runner_proc.startup_event.wait(10) main_ctx.event_queue.safe_put(mptools.EventMessage('test', 'HARD_SHUTDOWN', '')) runner_proc.shutdown_event.wait(10) assert runner_proc.shutdown_event.is_set() assert not main_ctx.procs assert not runner_proc.proc.is_alive() @pytest.mark.parametrize('mode', ['active', 'passive']) def test_runner_soft_shutdown(mocker, testing_context, mode): with testing_context as main_ctx: mptools.init_signals(main_ctx.shutdown_event, mptools.default_signal_handler, mptools.default_signal_handler) mocker.patch('context.runner.RunnerWorker.return_value.expected_mode', return_value=mode) mocker.patch('context.runner.RunnerWorker.return_value.logger.debug', new_callable=print) mocker.patch('context.runner.collector.CollectorWorker.return_value') mocker.patch('context.runner.detector.DetectorWorker.return_value') runner_proc = main_ctx.Proc('RUN', runner.RunnerWorker, main_ctx, persistent=True) runner_proc.startup_event.wait(10) main_ctx.event_queue.safe_put(mptools.EventMessage('test', 'SOFT_SHUTDOWN', '')) time.sleep(10) assert not runner_proc.shutdown_event.is_set() assert runner_proc.proc.is_alive() if mode == 'active': assert runner_proc.detector_proc and not runner_proc.detector_proc.proc.is_alive() assert runner_proc.collector_proc and not runner_proc.collector_proc.proc.is_alive() assert runner_proc.notifier_proc and not runner_proc.notifier_proc.proc.is_alive() elif mode == 'passive': assert runner_proc.uploader_proc and not runner_proc.uploader_proc.proc.is_alive() assert runner_proc.notifier_proc and not runner_proc.notifier_proc.proc.is_alive()

51.453333

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0.107143

0.815476

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0.75

0.71131

0

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0.162736

3,859

74

118

52.148649

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0

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0.164245

0

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1

0.079365

false

0.063492

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0

0.126984

0.047619

0

null

0

1

0

null

0

1

0

7

26dd88e33b73beea9b85fce30ef069b7e0b693c9

157,697

py

Python

bccr/python/antchain_sdk_bccr/models.py

alipay/antchain-openapi-prod-sdk

f78549e5135d91756093bd88d191ca260b28e083

[ "MIT" ]

6

2020-06-28T06:40:50.000Z

2022-02-25T11:02:18.000Z

bccr/python/antchain_sdk_bccr/models.py

alipay/antchain-openapi-prod-sdk

f78549e5135d91756093bd88d191ca260b28e083

[ "MIT" ]

null

bccr/python/antchain_sdk_bccr/models.py

alipay/antchain-openapi-prod-sdk

f78549e5135d91756093bd88d191ca260b28e083

[ "MIT" ]

6

2020-06-30T09:29:03.000Z

2022-01-07T10:42:22.000Z

# -*- coding: utf-8 -*- # This file is auto-generated, don't edit it. Thanks. from Tea.model import TeaModel from typing import List class Config(TeaModel): """ Model for initing client """ def __init__( self, access_key_id: str = None, access_key_secret: str = None, security_token: str = None, protocol: str = None, read_timeout: int = None, connect_timeout: int = None, http_proxy: str = None, https_proxy: str = None, endpoint: str = None, no_proxy: str = None, max_idle_conns: int = None, user_agent: str = None, socks_5proxy: str = None, socks_5net_work: str = None, max_idle_time_millis: int = None, keep_alive_duration_millis: int = None, max_requests: int = None, max_requests_per_host: int = None, ): # accesskey id self.access_key_id = access_key_id # accesskey secret self.access_key_secret = access_key_secret # security token self.security_token = security_token # http protocol self.protocol = protocol # read timeout self.read_timeout = read_timeout # connect timeout self.connect_timeout = connect_timeout # http proxy self.http_proxy = http_proxy # https proxy self.https_proxy = https_proxy # endpoint self.endpoint = endpoint # proxy white list self.no_proxy = no_proxy # max idle conns self.max_idle_conns = max_idle_conns # user agent self.user_agent = user_agent # socks5 proxy self.socks_5proxy = socks_5proxy # socks5 network self.socks_5net_work = socks_5net_work # 长链接最大空闲时长 self.max_idle_time_millis = max_idle_time_millis # 长链接最大连接时长 self.keep_alive_duration_millis = keep_alive_duration_millis # 最大连接数（长链接最大总数） self.max_requests = max_requests # 每个目标主机的最大连接数（分主机域名的长链接最大总数 self.max_requests_per_host = max_requests_per_host def validate(self): pass def to_map(self): result = dict() if self.access_key_id is not None: result['accessKeyId'] = self.access_key_id if self.access_key_secret is not None: result['accessKeySecret'] = self.access_key_secret if self.security_token is not None: result['securityToken'] = self.security_token if self.protocol is not None: result['protocol'] = self.protocol if self.read_timeout is not None: result['readTimeout'] = self.read_timeout if self.connect_timeout is not None: result['connectTimeout'] = self.connect_timeout if self.http_proxy is not None: result['httpProxy'] = self.http_proxy if self.https_proxy is not None: result['httpsProxy'] = self.https_proxy if self.endpoint is not None: result['endpoint'] = self.endpoint if self.no_proxy is not None: result['noProxy'] = self.no_proxy if self.max_idle_conns is not None: result['maxIdleConns'] = self.max_idle_conns if self.user_agent is not None: result['userAgent'] = self.user_agent if self.socks_5proxy is not None: result['socks5Proxy'] = self.socks_5proxy if self.socks_5net_work is not None: result['socks5NetWork'] = self.socks_5net_work if self.max_idle_time_millis is not None: result['maxIdleTimeMillis'] = self.max_idle_time_millis if self.keep_alive_duration_millis is not None: result['keepAliveDurationMillis'] = self.keep_alive_duration_millis if self.max_requests is not None: result['maxRequests'] = self.max_requests if self.max_requests_per_host is not None: result['maxRequestsPerHost'] = self.max_requests_per_host return result def from_map(self, m: dict = None): m = m or dict() if m.get('accessKeyId') is not None: self.access_key_id = m.get('accessKeyId') if m.get('accessKeySecret') is not None: self.access_key_secret = m.get('accessKeySecret') if m.get('securityToken') is not None: self.security_token = m.get('securityToken') if m.get('protocol') is not None: self.protocol = m.get('protocol') if m.get('readTimeout') is not None: self.read_timeout = m.get('readTimeout') if m.get('connectTimeout') is not None: self.connect_timeout = m.get('connectTimeout') if m.get('httpProxy') is not None: self.http_proxy = m.get('httpProxy') if m.get('httpsProxy') is not None: self.https_proxy = m.get('httpsProxy') if m.get('endpoint') is not None: self.endpoint = m.get('endpoint') if m.get('noProxy') is not None: self.no_proxy = m.get('noProxy') if m.get('maxIdleConns') is not None: self.max_idle_conns = m.get('maxIdleConns') if m.get('userAgent') is not None: self.user_agent = m.get('userAgent') if m.get('socks5Proxy') is not None: self.socks_5proxy = m.get('socks5Proxy') if m.get('socks5NetWork') is not None: self.socks_5net_work = m.get('socks5NetWork') if m.get('maxIdleTimeMillis') is not None: self.max_idle_time_millis = m.get('maxIdleTimeMillis') if m.get('keepAliveDurationMillis') is not None: self.keep_alive_duration_millis = m.get('keepAliveDurationMillis') if m.get('maxRequests') is not None: self.max_requests = m.get('maxRequests') if m.get('maxRequestsPerHost') is not None: self.max_requests_per_host = m.get('maxRequestsPerHost') return self class MonitorProviderCapability(TeaModel): def __init__( self, provider_id: str = None, provider_name: str = None, provider_description: str = None, is_provided: bool = None, ): # 供应商id self.provider_id = provider_id # 供应商名称 self.provider_name = provider_name # 供应商描述 self.provider_description = provider_description # 是否推荐供应商 self.is_provided = is_provided def validate(self): self.validate_required(self.provider_id, 'provider_id') self.validate_required(self.provider_name, 'provider_name') self.validate_required(self.provider_description, 'provider_description') self.validate_required(self.is_provided, 'is_provided') def to_map(self): result = dict() if self.provider_id is not None: result['provider_id'] = self.provider_id if self.provider_name is not None: result['provider_name'] = self.provider_name if self.provider_description is not None: result['provider_description'] = self.provider_description if self.is_provided is not None: result['is_provided'] = self.is_provided return result def from_map(self, m: dict = None): m = m or dict() if m.get('provider_id') is not None: self.provider_id = m.get('provider_id') if m.get('provider_name') is not None: self.provider_name = m.get('provider_name') if m.get('provider_description') is not None: self.provider_description = m.get('provider_description') if m.get('is_provided') is not None: self.is_provided = m.get('is_provided') return self class ScreenInfo(TeaModel): def __init__( self, process_log_file: str = None, check_log_file: str = None, web_screenshot_file: str = None, web_source_file: str = None, video_file: str = None, process_log_file_tx_hash: str = None, check_log_file_tx_hash: str = None, ): # 全链路取证日志文件下载链接 self.process_log_file = process_log_file # 自清洁文件下载地址 self.check_log_file = check_log_file # 网页截图文件下载链接 self.web_screenshot_file = web_screenshot_file # 网页源码文件下载链接 self.web_source_file = web_source_file # 视频源文件下载链接 self.video_file = video_file # 操作日志交易hash self.process_log_file_tx_hash = process_log_file_tx_hash # 自清洁日志交易hash self.check_log_file_tx_hash = check_log_file_tx_hash def validate(self): pass def to_map(self): result = dict() if self.process_log_file is not None: result['process_log_file'] = self.process_log_file if self.check_log_file is not None: result['check_log_file'] = self.check_log_file if self.web_screenshot_file is not None: result['web_screenshot_file'] = self.web_screenshot_file if self.web_source_file is not None: result['web_source_file'] = self.web_source_file if self.video_file is not None: result['video_file'] = self.video_file if self.process_log_file_tx_hash is not None: result['process_log_file_tx_hash'] = self.process_log_file_tx_hash if self.check_log_file_tx_hash is not None: result['check_log_file_tx_hash'] = self.check_log_file_tx_hash return result def from_map(self, m: dict = None): m = m or dict() if m.get('process_log_file') is not None: self.process_log_file = m.get('process_log_file') if m.get('check_log_file') is not None: self.check_log_file = m.get('check_log_file') if m.get('web_screenshot_file') is not None: self.web_screenshot_file = m.get('web_screenshot_file') if m.get('web_source_file') is not None: self.web_source_file = m.get('web_source_file') if m.get('video_file') is not None: self.video_file = m.get('video_file') if m.get('process_log_file_tx_hash') is not None: self.process_log_file_tx_hash = m.get('process_log_file_tx_hash') if m.get('check_log_file_tx_hash') is not None: self.check_log_file_tx_hash = m.get('check_log_file_tx_hash') return self class ScreenshotInfo(TeaModel): def __init__( self, process_log_file: str = None, check_log_file: str = None, screenshot_file: str = None, process_log_file_tx_hash: str = None, check_log_file_tx_hash: str = None, ): # 全链路取证日志文件下载链接 self.process_log_file = process_log_file # 自清洁文件下载链接 self.check_log_file = check_log_file # 网页截图文件下载链接 self.screenshot_file = screenshot_file # 操作日志文件交易hash self.process_log_file_tx_hash = process_log_file_tx_hash # 自清洁日志文件交易hash self.check_log_file_tx_hash = check_log_file_tx_hash def validate(self): self.validate_required(self.screenshot_file, 'screenshot_file') def to_map(self): result = dict() if self.process_log_file is not None: result['process_log_file'] = self.process_log_file if self.check_log_file is not None: result['check_log_file'] = self.check_log_file if self.screenshot_file is not None: result['screenshot_file'] = self.screenshot_file if self.process_log_file_tx_hash is not None: result['process_log_file_tx_hash'] = self.process_log_file_tx_hash if self.check_log_file_tx_hash is not None: result['check_log_file_tx_hash'] = self.check_log_file_tx_hash return result def from_map(self, m: dict = None): m = m or dict() if m.get('process_log_file') is not None: self.process_log_file = m.get('process_log_file') if m.get('check_log_file') is not None: self.check_log_file = m.get('check_log_file') if m.get('screenshot_file') is not None: self.screenshot_file = m.get('screenshot_file') if m.get('process_log_file_tx_hash') is not None: self.process_log_file_tx_hash = m.get('process_log_file_tx_hash') if m.get('check_log_file_tx_hash') is not None: self.check_log_file_tx_hash = m.get('check_log_file_tx_hash') return self class NotaryPublicOffice(TeaModel): def __init__( self, code: str = None, name: str = None, province: str = None, city: str = None, ): # 公证处code self.code = code # 公证处名称 self.name = name # 公证处所在省（直辖市） self.province = province # 公证处所在市 self.city = city def validate(self): self.validate_required(self.code, 'code') self.validate_required(self.name, 'name') self.validate_required(self.province, 'province') self.validate_required(self.city, 'city') def to_map(self): result = dict() if self.code is not None: result['code'] = self.code if self.name is not None: result['name'] = self.name if self.province is not None: result['province'] = self.province if self.city is not None: result['city'] = self.city return result def from_map(self, m: dict = None): m = m or dict() if m.get('code') is not None: self.code = m.get('code') if m.get('name') is not None: self.name = m.get('name') if m.get('province') is not None: self.province = m.get('province') if m.get('city') is not None: self.city = m.get('city') return self class ProxyData(TeaModel): def __init__( self, tenant_id: str = None, tenant_name: str = None, if_measure: bool = None, ): # 金融云租户id self.tenant_id = tenant_id # 租户名称 self.tenant_name = tenant_name # 是否计量 self.if_measure = if_measure def validate(self): self.validate_required(self.tenant_id, 'tenant_id') self.validate_required(self.tenant_name, 'tenant_name') def to_map(self): result = dict() if self.tenant_id is not None: result['tenant_id'] = self.tenant_id if self.tenant_name is not None: result['tenant_name'] = self.tenant_name if self.if_measure is not None: result['if_measure'] = self.if_measure return result def from_map(self, m: dict = None): m = m or dict() if m.get('tenant_id') is not None: self.tenant_id = m.get('tenant_id') if m.get('tenant_name') is not None: self.tenant_name = m.get('tenant_name') if m.get('if_measure') is not None: self.if_measure = m.get('if_measure') return self class MonitorType(TeaModel): def __init__( self, file_type: str = None, submit_type: str = None, ): # 文件类型 self.file_type = file_type # 提交类型 self.submit_type = submit_type def validate(self): self.validate_required(self.file_type, 'file_type') self.validate_required(self.submit_type, 'submit_type') def to_map(self): result = dict() if self.file_type is not None: result['file_type'] = self.file_type if self.submit_type is not None: result['submit_type'] = self.submit_type return result def from_map(self, m: dict = None): m = m or dict() if m.get('file_type') is not None: self.file_type = m.get('file_type') if m.get('submit_type') is not None: self.submit_type = m.get('submit_type') return self class MonitorProviderType(TeaModel): def __init__( self, file_type: str = None, submit_type: str = None, file_format: str = None, monitor_providers: List[MonitorProviderCapability] = None, ): # 监测文件类型 self.file_type = file_type # 提交类型 self.submit_type = submit_type # 文件格式 self.file_format = file_format # 支持的服务商列表，已排序 self.monitor_providers = monitor_providers def validate(self): self.validate_required(self.file_type, 'file_type') self.validate_required(self.submit_type, 'submit_type') self.validate_required(self.monitor_providers, 'monitor_providers') if self.monitor_providers: for k in self.monitor_providers: if k: k.validate() def to_map(self): result = dict() if self.file_type is not None: result['file_type'] = self.file_type if self.submit_type is not None: result['submit_type'] = self.submit_type if self.file_format is not None: result['file_format'] = self.file_format result['monitor_providers'] = [] if self.monitor_providers is not None: for k in self.monitor_providers: result['monitor_providers'].append(k.to_map() if k else None) return result def from_map(self, m: dict = None): m = m or dict() if m.get('file_type') is not None: self.file_type = m.get('file_type') if m.get('submit_type') is not None: self.submit_type = m.get('submit_type') if m.get('file_format') is not None: self.file_format = m.get('file_format') self.monitor_providers = [] if m.get('monitor_providers') is not None: for k in m.get('monitor_providers'): temp_model = MonitorProviderCapability() self.monitor_providers.append(temp_model.from_map(k)) return self class RecordScreenData(TeaModel): def __init__( self, error_reason: str = None, file_hash: str = None, gmt_end: int = None, gmt_start: int = None, os_version: str = None, screen_info: ScreenInfo = None, screen_zip: str = None, sw_version: str = None, tsr: str = None, tx_hash: str = None, file_size: int = None, block_height: int = None, timestamp: int = None, certificate_url: str = None, certificate_storage_no: str = None, ): # 错误原因（状态为FAIL才有数据） self.error_reason = error_reason # 录屏文件Hash值 self.file_hash = file_hash # 录屏结束时间 self.gmt_end = gmt_end # 录屏开始时间 self.gmt_start = gmt_start # OS版本号 self.os_version = os_version # 录屏文件信息 self.screen_info = screen_info # 证据包下载地址（状态为SUCCESS 才有数据） self.screen_zip = screen_zip # 录屏软件版本号 self.sw_version = sw_version # 可信时间戳的返回对象 self.tsr = tsr # 统一证据编号 self.tx_hash = tx_hash # 录屏文件大小 self.file_size = file_size # 录屏文件存证块高 self.block_height = block_height # 录屏文件上链时间 self.timestamp = timestamp # 录屏文件公证处证书下载链接 self.certificate_url = certificate_url # 公证处证书编号 self.certificate_storage_no = certificate_storage_no def validate(self): self.validate_required(self.gmt_end, 'gmt_end') self.validate_required(self.gmt_start, 'gmt_start') self.validate_required(self.os_version, 'os_version') if self.screen_info: self.screen_info.validate() self.validate_required(self.sw_version, 'sw_version') def to_map(self): result = dict() if self.error_reason is not None: result['error_reason'] = self.error_reason if self.file_hash is not None: result['file_hash'] = self.file_hash if self.gmt_end is not None: result['gmt_end'] = self.gmt_end if self.gmt_start is not None: result['gmt_start'] = self.gmt_start if self.os_version is not None: result['os_version'] = self.os_version if self.screen_info is not None: result['screen_info'] = self.screen_info.to_map() if self.screen_zip is not None: result['screen_zip'] = self.screen_zip if self.sw_version is not None: result['sw_version'] = self.sw_version if self.tsr is not None: result['tsr'] = self.tsr if self.tx_hash is not None: result['tx_hash'] = self.tx_hash if self.file_size is not None: result['file_size'] = self.file_size if self.block_height is not None: result['block_height'] = self.block_height if self.timestamp is not None: result['timestamp'] = self.timestamp if self.certificate_url is not None: result['certificate_url'] = self.certificate_url if self.certificate_storage_no is not None: result['certificate_storage_no'] = self.certificate_storage_no return result def from_map(self, m: dict = None): m = m or dict() if m.get('error_reason') is not None: self.error_reason = m.get('error_reason') if m.get('file_hash') is not None: self.file_hash = m.get('file_hash') if m.get('gmt_end') is not None: self.gmt_end = m.get('gmt_end') if m.get('gmt_start') is not None: self.gmt_start = m.get('gmt_start') if m.get('os_version') is not None: self.os_version = m.get('os_version') if m.get('screen_info') is not None: temp_model = ScreenInfo() self.screen_info = temp_model.from_map(m['screen_info']) if m.get('screen_zip') is not None: self.screen_zip = m.get('screen_zip') if m.get('sw_version') is not None: self.sw_version = m.get('sw_version') if m.get('tsr') is not None: self.tsr = m.get('tsr') if m.get('tx_hash') is not None: self.tx_hash = m.get('tx_hash') if m.get('file_size') is not None: self.file_size = m.get('file_size') if m.get('block_height') is not None: self.block_height = m.get('block_height') if m.get('timestamp') is not None: self.timestamp = m.get('timestamp') if m.get('certificate_url') is not None: self.certificate_url = m.get('certificate_url') if m.get('certificate_storage_no') is not None: self.certificate_storage_no = m.get('certificate_storage_no') return self class AccountData(TeaModel): def __init__( self, account_id: str = None, account_name: str = None, account_platform: str = None, ): # 账号id self.account_id = account_id # 账号名称 self.account_name = account_name # 账号平台（支付宝，淘宝，微信，抖音等） self.account_platform = account_platform def validate(self): self.validate_required(self.account_id, 'account_id') self.validate_required(self.account_name, 'account_name') self.validate_required(self.account_platform, 'account_platform') def to_map(self): result = dict() if self.account_id is not None: result['account_id'] = self.account_id if self.account_name is not None: result['account_name'] = self.account_name if self.account_platform is not None: result['account_platform'] = self.account_platform return result def from_map(self, m: dict = None): m = m or dict() if m.get('account_id') is not None: self.account_id = m.get('account_id') if m.get('account_name') is not None: self.account_name = m.get('account_name') if m.get('account_platform') is not None: self.account_platform = m.get('account_platform') return self class MonitorResult(TeaModel): def __init__( self, monitor_task_id: str = None, monitor_result_id: str = None, infr_url: str = None, infr_host: str = None, infr_title: str = None, infr_time: int = None, detail: str = None, poster: str = None, post_date: int = None, find_date: int = None, view_count: int = None, like_count: int = None, comment_count: int = None, repost_count: int = None, download_url: str = None, infr_feedback_time: int = None, ): # 监测任务ID # self.monitor_task_id = monitor_task_id # 监测结果ID # self.monitor_result_id = monitor_result_id # 侵权网址 # # self.infr_url = infr_url # 侵权主体 # # self.infr_host = infr_host # 侵权标题 # # self.infr_title = infr_title # 侵权内容上传时间 # # self.infr_time = infr_time # 侵权详情 # self.detail = detail # 发布者 self.poster = poster # 侵权内容发布时间 self.post_date = post_date # 侵权内容发现时间 self.find_date = find_date # 观看数 self.view_count = view_count # 点赞数 self.like_count = like_count # 评论数 self.comment_count = comment_count # 转发数 self.repost_count = repost_count # 侵权文件下载链接 self.download_url = download_url # 疑似侵权反馈时间 self.infr_feedback_time = infr_feedback_time def validate(self): self.validate_required(self.monitor_task_id, 'monitor_task_id') self.validate_required(self.monitor_result_id, 'monitor_result_id') def to_map(self): result = dict() if self.monitor_task_id is not None: result['monitor_task_id'] = self.monitor_task_id if self.monitor_result_id is not None: result['monitor_result_id'] = self.monitor_result_id if self.infr_url is not None: result['infr_url'] = self.infr_url if self.infr_host is not None: result['infr_host'] = self.infr_host if self.infr_title is not None: result['infr_title'] = self.infr_title if self.infr_time is not None: result['infr_time'] = self.infr_time if self.detail is not None: result['detail'] = self.detail if self.poster is not None: result['poster'] = self.poster if self.post_date is not None: result['post_date'] = self.post_date if self.find_date is not None: result['find_date'] = self.find_date if self.view_count is not None: result['view_count'] = self.view_count if self.like_count is not None: result['like_count'] = self.like_count if self.comment_count is not None: result['comment_count'] = self.comment_count if self.repost_count is not None: result['repost_count'] = self.repost_count if self.download_url is not None: result['download_url'] = self.download_url if self.infr_feedback_time is not None: result['infr_feedback_time'] = self.infr_feedback_time return result def from_map(self, m: dict = None): m = m or dict() if m.get('monitor_task_id') is not None: self.monitor_task_id = m.get('monitor_task_id') if m.get('monitor_result_id') is not None: self.monitor_result_id = m.get('monitor_result_id') if m.get('infr_url') is not None: self.infr_url = m.get('infr_url') if m.get('infr_host') is not None: self.infr_host = m.get('infr_host') if m.get('infr_title') is not None: self.infr_title = m.get('infr_title') if m.get('infr_time') is not None: self.infr_time = m.get('infr_time') if m.get('detail') is not None: self.detail = m.get('detail') if m.get('poster') is not None: self.poster = m.get('poster') if m.get('post_date') is not None: self.post_date = m.get('post_date') if m.get('find_date') is not None: self.find_date = m.get('find_date') if m.get('view_count') is not None: self.view_count = m.get('view_count') if m.get('like_count') is not None: self.like_count = m.get('like_count') if m.get('comment_count') is not None: self.comment_count = m.get('comment_count') if m.get('repost_count') is not None: self.repost_count = m.get('repost_count') if m.get('download_url') is not None: self.download_url = m.get('download_url') if m.get('infr_feedback_time') is not None: self.infr_feedback_time = m.get('infr_feedback_time') return self class ScreenshotData(TeaModel): def __init__( self, url: str = None, gmt_evidence: int = None, file_hash: str = None, file_size: int = None, tx_hash: str = None, block_height: int = None, timestamp: int = None, tsr: str = None, certificate_url: str = None, certificate_storage_no: str = None, tool_version: str = None, screenshot_zip: str = None, screenshot_info: ScreenshotInfo = None, head_title: str = None, ): # 取证地址 self.url = url # 网页取证时间 self.gmt_evidence = gmt_evidence # 网页取证文件Hash值 self.file_hash = file_hash # 网页取证文件大小 self.file_size = file_size # 统一证据编号 self.tx_hash = tx_hash # 网页取证文件存证块高 self.block_height = block_height # 网页取证文件上链时间 self.timestamp = timestamp # 可信时间戳的返回对象 self.tsr = tsr # 网页截图文件公证处证书下载链接 self.certificate_url = certificate_url # 公证处证书编号 self.certificate_storage_no = certificate_storage_no # 网页取证工具软件版本号 self.tool_version = tool_version # 证据包下载地址（状态为SUCCESS 才有数据） self.screenshot_zip = screenshot_zip # 取证文件信息 self.screenshot_info = screenshot_info # 网页title self.head_title = head_title def validate(self): self.validate_required(self.url, 'url') self.validate_required(self.gmt_evidence, 'gmt_evidence') if self.screenshot_info: self.screenshot_info.validate() def to_map(self): result = dict() if self.url is not None: result['url'] = self.url if self.gmt_evidence is not None: result['gmt_evidence'] = self.gmt_evidence if self.file_hash is not None: result['file_hash'] = self.file_hash if self.file_size is not None: result['file_size'] = self.file_size if self.tx_hash is not None: result['tx_hash'] = self.tx_hash if self.block_height is not None: result['block_height'] = self.block_height if self.timestamp is not None: result['timestamp'] = self.timestamp if self.tsr is not None: result['tsr'] = self.tsr if self.certificate_url is not None: result['certificate_url'] = self.certificate_url if self.certificate_storage_no is not None: result['certificate_storage_no'] = self.certificate_storage_no if self.tool_version is not None: result['tool_version'] = self.tool_version if self.screenshot_zip is not None: result['screenshot_zip'] = self.screenshot_zip if self.screenshot_info is not None: result['screenshot_info'] = self.screenshot_info.to_map() if self.head_title is not None: result['head_title'] = self.head_title return result def from_map(self, m: dict = None): m = m or dict() if m.get('url') is not None: self.url = m.get('url') if m.get('gmt_evidence') is not None: self.gmt_evidence = m.get('gmt_evidence') if m.get('file_hash') is not None: self.file_hash = m.get('file_hash') if m.get('file_size') is not None: self.file_size = m.get('file_size') if m.get('tx_hash') is not None: self.tx_hash = m.get('tx_hash') if m.get('block_height') is not None: self.block_height = m.get('block_height') if m.get('timestamp') is not None: self.timestamp = m.get('timestamp') if m.get('tsr') is not None: self.tsr = m.get('tsr') if m.get('certificate_url') is not None: self.certificate_url = m.get('certificate_url') if m.get('certificate_storage_no') is not None: self.certificate_storage_no = m.get('certificate_storage_no') if m.get('tool_version') is not None: self.tool_version = m.get('tool_version') if m.get('screenshot_zip') is not None: self.screenshot_zip = m.get('screenshot_zip') if m.get('screenshot_info') is not None: temp_model = ScreenshotInfo() self.screenshot_info = temp_model.from_map(m['screenshot_info']) if m.get('head_title') is not None: self.head_title = m.get('head_title') return self class UserData(TeaModel): def __init__( self, account: str = None, account_type: str = None, cert_name: str = None, cert_no: str = None, cert_type: str = None, contact_info: str = None, legal_person: str = None, reg_time: int = None, status: str = None, type: str = None, ): # 用户账号 self.account = account # 账号类型 self.account_type = account_type # 证件名称 self.cert_name = cert_name # 证件号码 self.cert_no = cert_no # 证件类型 self.cert_type = cert_type # 联系方式 self.contact_info = contact_info # 企业法人 self.legal_person = legal_person # 注册时间 self.reg_time = reg_time # 账号状态 self.status = status # 用户类型 self.type = type def validate(self): self.validate_required(self.account, 'account') self.validate_required(self.account_type, 'account_type') self.validate_required(self.cert_name, 'cert_name') self.validate_required(self.cert_no, 'cert_no') self.validate_required(self.cert_type, 'cert_type') self.validate_required(self.reg_time, 'reg_time') self.validate_required(self.status, 'status') self.validate_required(self.type, 'type') def to_map(self): result = dict() if self.account is not None: result['account'] = self.account if self.account_type is not None: result['account_type'] = self.account_type if self.cert_name is not None: result['cert_name'] = self.cert_name if self.cert_no is not None: result['cert_no'] = self.cert_no if self.cert_type is not None: result['cert_type'] = self.cert_type if self.contact_info is not None: result['contact_info'] = self.contact_info if self.legal_person is not None: result['legal_person'] = self.legal_person if self.reg_time is not None: result['reg_time'] = self.reg_time if self.status is not None: result['status'] = self.status if self.type is not None: result['type'] = self.type return result def from_map(self, m: dict = None): m = m or dict() if m.get('account') is not None: self.account = m.get('account') if m.get('account_type') is not None: self.account_type = m.get('account_type') if m.get('cert_name') is not None: self.cert_name = m.get('cert_name') if m.get('cert_no') is not None: self.cert_no = m.get('cert_no') if m.get('cert_type') is not None: self.cert_type = m.get('cert_type') if m.get('contact_info') is not None: self.contact_info = m.get('contact_info') if m.get('legal_person') is not None: self.legal_person = m.get('legal_person') if m.get('reg_time') is not None: self.reg_time = m.get('reg_time') if m.get('status') is not None: self.status = m.get('status') if m.get('type') is not None: self.type = m.get('type') return self class GoodSkuInfo(TeaModel): def __init__( self, sku_num: str = None, price: int = None, ): # 授权规格序号 self.sku_num = sku_num # 授权规格价格(单位：分) self.price = price def validate(self): self.validate_required(self.sku_num, 'sku_num') self.validate_required(self.price, 'price') def to_map(self): result = dict() if self.sku_num is not None: result['sku_num'] = self.sku_num if self.price is not None: result['price'] = self.price return result def from_map(self, m: dict = None): m = m or dict() if m.get('sku_num') is not None: self.sku_num = m.get('sku_num') if m.get('price') is not None: self.price = m.get('price') return self class RightsInfo(TeaModel): def __init__( self, work_name: str = None, work_type: str = None, completed_time: int = None, completed_place: str = None, is_publish: bool = None, publish_time: int = None, publish_place: str = None, publish_web: str = None, is_author: bool = None, author_cert_name: str = None, author_cert_no: str = None, ): # 作品名称（最长128个字符） self.work_name = work_name # 作品类型 self.work_type = work_type # 作品创作完成时间 self.completed_time = completed_time # 作品创作完成地点（最长128个字符） self.completed_place = completed_place # 是否发表 self.is_publish = is_publish # 发表时间（如果isPublish为true则必填） self.publish_time = publish_time # 发表地点（如果isPublish为true则必填，最长128个字符） self.publish_place = publish_place # 发表网址（如果isPublish为true则必填，最长1024个字符） self.publish_web = publish_web # 是否是作者 self.is_author = is_author # 作者姓名（如果isAuthor为true则必填，最长32个字符） self.author_cert_name = author_cert_name # 作者身份证号（如果isAuthor为true则必填） self.author_cert_no = author_cert_no def validate(self): self.validate_required(self.work_name, 'work_name') if self.work_name is not None: self.validate_max_length(self.work_name, 'work_name', 128) self.validate_required(self.work_type, 'work_type') self.validate_required(self.completed_time, 'completed_time') self.validate_required(self.completed_place, 'completed_place') if self.completed_place is not None: self.validate_max_length(self.completed_place, 'completed_place', 128) self.validate_required(self.is_publish, 'is_publish') if self.publish_place is not None: self.validate_max_length(self.publish_place, 'publish_place', 128) if self.publish_web is not None: self.validate_max_length(self.publish_web, 'publish_web', 1024) self.validate_required(self.is_author, 'is_author') if self.author_cert_name is not None: self.validate_max_length(self.author_cert_name, 'author_cert_name', 32) if self.author_cert_no is not None: self.validate_max_length(self.author_cert_no, 'author_cert_no', 30) def to_map(self): result = dict() if self.work_name is not None: result['work_name'] = self.work_name if self.work_type is not None: result['work_type'] = self.work_type if self.completed_time is not None: result['completed_time'] = self.completed_time if self.completed_place is not None: result['completed_place'] = self.completed_place if self.is_publish is not None: result['is_publish'] = self.is_publish if self.publish_time is not None: result['publish_time'] = self.publish_time if self.publish_place is not None: result['publish_place'] = self.publish_place if self.publish_web is not None: result['publish_web'] = self.publish_web if self.is_author is not None: result['is_author'] = self.is_author if self.author_cert_name is not None: result['author_cert_name'] = self.author_cert_name if self.author_cert_no is not None: result['author_cert_no'] = self.author_cert_no return result def from_map(self, m: dict = None): m = m or dict() if m.get('work_name') is not None: self.work_name = m.get('work_name') if m.get('work_type') is not None: self.work_type = m.get('work_type') if m.get('completed_time') is not None: self.completed_time = m.get('completed_time') if m.get('completed_place') is not None: self.completed_place = m.get('completed_place') if m.get('is_publish') is not None: self.is_publish = m.get('is_publish') if m.get('publish_time') is not None: self.publish_time = m.get('publish_time') if m.get('publish_place') is not None: self.publish_place = m.get('publish_place') if m.get('publish_web') is not None: self.publish_web = m.get('publish_web') if m.get('is_author') is not None: self.is_author = m.get('is_author') if m.get('author_cert_name') is not None: self.author_cert_name = m.get('author_cert_name') if m.get('author_cert_no') is not None: self.author_cert_no = m.get('author_cert_no') return self class MonitorTask(TeaModel): def __init__( self, content_desc: str = None, content_title: str = None, file_length_in_second: int = None, keywords: List[str] = None, monitor_task_id: str = None, name: str = None, provider_id: str = None, result_count: int = None, scopes: List[str] = None, status: str = None, task_duration: int = None, task_end: int = None, task_start: int = None, file_type: str = None, file_size: int = None, submit_content: str = None, submit_type: str = None, failure_msg: str = None, ): # 内容表述 # # self.content_desc = content_desc # 监测任务标题 # # self.content_title = content_title # 监测文件时长，主要用于视频监测、音频监测的时长记录 self.file_length_in_second = file_length_in_second # 监测关键字 # # self.keywords = keywords # 监测任务ID # self.monitor_task_id = monitor_task_id # 任务名称 # # self.name = name # 监测供应商id self.provider_id = provider_id # 监测结果数量 # # self.result_count = result_count # 监测范围 # # self.scopes = scopes # 任务状态 # # INIT # # WORKING # # FINISH # # FAILURE # # DELETE self.status = status # 监测时长(天) # # self.task_duration = task_duration # 任务结束时间 # # self.task_end = task_end # 任务开始时间 # # self.task_start = task_start # 文件类别 # # IMAGE # # TEXT # # VIDEO self.file_type = file_type # 文件大小 self.file_size = file_size # submitType是url就是url地址 submitType 是file就是oss fileId self.submit_content = submit_content # 提交任务的类型:FILE/URL # 不填为FILE # FILE表示文件上传素材，URL表示上传URL self.submit_type = submit_type # 当status为failure时的具体错误信息 self.failure_msg = failure_msg def validate(self): self.validate_required(self.keywords, 'keywords') self.validate_required(self.monitor_task_id, 'monitor_task_id') self.validate_required(self.name, 'name') self.validate_required(self.scopes, 'scopes') self.validate_required(self.status, 'status') self.validate_required(self.task_duration, 'task_duration') self.validate_required(self.file_type, 'file_type') self.validate_required(self.submit_content, 'submit_content') def to_map(self): result = dict() if self.content_desc is not None: result['content_desc'] = self.content_desc if self.content_title is not None: result['content_title'] = self.content_title if self.file_length_in_second is not None: result['file_length_in_second'] = self.file_length_in_second if self.keywords is not None: result['keywords'] = self.keywords if self.monitor_task_id is not None: result['monitor_task_id'] = self.monitor_task_id if self.name is not None: result['name'] = self.name if self.provider_id is not None: result['provider_id'] = self.provider_id if self.result_count is not None: result['result_count'] = self.result_count if self.scopes is not None: result['scopes'] = self.scopes if self.status is not None: result['status'] = self.status if self.task_duration is not None: result['task_duration'] = self.task_duration if self.task_end is not None: result['task_end'] = self.task_end if self.task_start is not None: result['task_start'] = self.task_start if self.file_type is not None: result['file_type'] = self.file_type if self.file_size is not None: result['file_size'] = self.file_size if self.submit_content is not None: result['submit_content'] = self.submit_content if self.submit_type is not None: result['submit_type'] = self.submit_type if self.failure_msg is not None: result['failure_msg'] = self.failure_msg return result def from_map(self, m: dict = None): m = m or dict() if m.get('content_desc') is not None: self.content_desc = m.get('content_desc') if m.get('content_title') is not None: self.content_title = m.get('content_title') if m.get('file_length_in_second') is not None: self.file_length_in_second = m.get('file_length_in_second') if m.get('keywords') is not None: self.keywords = m.get('keywords') if m.get('monitor_task_id') is not None: self.monitor_task_id = m.get('monitor_task_id') if m.get('name') is not None: self.name = m.get('name') if m.get('provider_id') is not None: self.provider_id = m.get('provider_id') if m.get('result_count') is not None: self.result_count = m.get('result_count') if m.get('scopes') is not None: self.scopes = m.get('scopes') if m.get('status') is not None: self.status = m.get('status') if m.get('task_duration') is not None: self.task_duration = m.get('task_duration') if m.get('task_end') is not None: self.task_end = m.get('task_end') if m.get('task_start') is not None: self.task_start = m.get('task_start') if m.get('file_type') is not None: self.file_type = m.get('file_type') if m.get('file_size') is not None: self.file_size = m.get('file_size') if m.get('submit_content') is not None: self.submit_content = m.get('submit_content') if m.get('submit_type') is not None: self.submit_type = m.get('submit_type') if m.get('failure_msg') is not None: self.failure_msg = m.get('failure_msg') return self class VerifyStatementData(TeaModel): def __init__( self, statement_tx_hash: str = None, statement_file_id: str = None, statement_file_hash: str = None, ): # 权利声明书存证交易HASH self.statement_tx_hash = statement_tx_hash # 权利声明书文件ID（和statementFileId 二选一,如果都传使用statementFileHash） self.statement_file_id = statement_file_id # 权利声明书文件HASH（和statementFileId 二选一,如果都传使用statementFileHash） self.statement_file_hash = statement_file_hash def validate(self): pass def to_map(self): result = dict() if self.statement_tx_hash is not None: result['statement_tx_hash'] = self.statement_tx_hash if self.statement_file_id is not None: result['statement_file_id'] = self.statement_file_id if self.statement_file_hash is not None: result['statement_file_hash'] = self.statement_file_hash return result def from_map(self, m: dict = None): m = m or dict() if m.get('statement_tx_hash') is not None: self.statement_tx_hash = m.get('statement_tx_hash') if m.get('statement_file_id') is not None: self.statement_file_id = m.get('statement_file_id') if m.get('statement_file_hash') is not None: self.statement_file_hash = m.get('statement_file_hash') return self class SecurityData(TeaModel): def __init__( self, result: str = None, risk_data: List[str] = None, ): # 内容安全检查结果 self.result = result # 有风险的内容 self.risk_data = risk_data def validate(self): self.validate_required(self.result, 'result') def to_map(self): result = dict() if self.result is not None: result['result'] = self.result if self.risk_data is not None: result['risk_data'] = self.risk_data return result def from_map(self, m: dict = None): m = m or dict() if m.get('result') is not None: self.result = m.get('result') if m.get('risk_data') is not None: self.risk_data = m.get('risk_data') return self class VerifyUserData(TeaModel): def __init__( self, cert_name: str = None, cert_no: str = None, cert_type: str = None, register_person_tx_hash: str = None, ): # 证件名称 self.cert_name = cert_name # 证件号码 self.cert_no = cert_no # 证件类型 self.cert_type = cert_type # 登记人信息存证交易HASH self.register_person_tx_hash = register_person_tx_hash def validate(self): pass def to_map(self): result = dict() if self.cert_name is not None: result['cert_name'] = self.cert_name if self.cert_no is not None: result['cert_no'] = self.cert_no if self.cert_type is not None: result['cert_type'] = self.cert_type if self.register_person_tx_hash is not None: result['register_person_tx_hash'] = self.register_person_tx_hash return result def from_map(self, m: dict = None): m = m or dict() if m.get('cert_name') is not None: self.cert_name = m.get('cert_name') if m.get('cert_no') is not None: self.cert_no = m.get('cert_no') if m.get('cert_type') is not None: self.cert_type = m.get('cert_type') if m.get('register_person_tx_hash') is not None: self.register_person_tx_hash = m.get('register_person_tx_hash') return self class VerifyEvidenceData(TeaModel): def __init__( self, process_log_tx_hash: str = None, check_log_tx_hash: str = None, ): # 操作日志交易HASH self.process_log_tx_hash = process_log_tx_hash # 自清洁日志交易HASH self.check_log_tx_hash = check_log_tx_hash def validate(self): pass def to_map(self): result = dict() if self.process_log_tx_hash is not None: result['process_log_tx_hash'] = self.process_log_tx_hash if self.check_log_tx_hash is not None: result['check_log_tx_hash'] = self.check_log_tx_hash return result def from_map(self, m: dict = None): m = m or dict() if m.get('process_log_tx_hash') is not None: self.process_log_tx_hash = m.get('process_log_tx_hash') if m.get('check_log_tx_hash') is not None: self.check_log_tx_hash = m.get('check_log_tx_hash') return self class GetUploadurlRequest(TeaModel): def __init__( self, auth_token: str = None, product_instance_id: str = None, file_name: str = None, client_token: str = None, ): # OAuth模式下的授权token self.auth_token = auth_token self.product_instance_id = product_instance_id # 文件名称 self.file_name = file_name # 保证请求幂等性。从您的客户端生成一个参数值，确保不同请求间该参数值唯一。clientToken只支持ASCII字符，且不能超过64个字符。 self.client_token = client_token def validate(self): self.validate_required(self.file_name, 'file_name') if self.file_name is not None: self.validate_max_length(self.file_name, 'file_name', 128) if self.client_token is not None: self.validate_max_length(self.client_token, 'client_token', 64) def to_map(self): result = dict() if self.auth_token is not None: result['auth_token'] = self.auth_token if self.product_instance_id is not None: result['product_instance_id'] = self.product_instance_id if self.file_name is not None: result['file_name'] = self.file_name if self.client_token is not None: result['client_token'] = self.client_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('auth_token') is not None: self.auth_token = m.get('auth_token') if m.get('product_instance_id') is not None: self.product_instance_id = m.get('product_instance_id') if m.get('file_name') is not None: self.file_name = m.get('file_name') if m.get('client_token') is not None: self.client_token = m.get('client_token') return self class GetUploadurlResponse(TeaModel): def __init__( self, req_msg_id: str = None, result_code: str = None, result_msg: str = None, url: str = None, file_id: str = None, ): # 请求唯一ID，用于链路跟踪和问题排查 self.req_msg_id = req_msg_id # 结果码，一般OK表示调用成功 self.result_code = result_code # 异常信息的文本描述 self.result_msg = result_msg # 授权访问oss链接 self.url = url # OSS 文件id self.file_id = file_id def validate(self): pass def to_map(self): result = dict() if self.req_msg_id is not None: result['req_msg_id'] = self.req_msg_id if self.result_code is not None: result['result_code'] = self.result_code if self.result_msg is not None: result['result_msg'] = self.result_msg if self.url is not None: result['url'] = self.url if self.file_id is not None: result['file_id'] = self.file_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('req_msg_id') is not None: self.req_msg_id = m.get('req_msg_id') if m.get('result_code') is not None: self.result_code = m.get('result_code') if m.get('result_msg') is not None: self.result_msg = m.get('result_msg') if m.get('url') is not None: self.url = m.get('url') if m.get('file_id') is not None: self.file_id = m.get('file_id') return self class AddHashregisterRequest(TeaModel): def __init__( self, auth_token: str = None, product_instance_id: str = None, hash: str = None, length: int = None, hash_type: str = None, type: str = None, name: str = None, memo: str = None, cert_name: str = None, cert_no: str = None, cert_type: str = None, create_certificate: bool = None, certificate_type: str = None, create_package: bool = None, org_id: str = None, proxy_info: ProxyData = None, phone_num: str = None, feature_file_id: str = None, client_token: str = None, ): # OAuth模式下的授权token self.auth_token = auth_token self.product_instance_id = product_instance_id # 文件SHA256 hash self.hash = hash # 文件大小 self.length = length # hash算法 self.hash_type = hash_type # 文件类型 self.type = type # 文件名称 self.name = name # 备注 self.memo = memo # 证件名称 self.cert_name = cert_name # 证件号码 self.cert_no = cert_no # 证件类型 self.cert_type = cert_type # 是否自动创建公证保管函 self.create_certificate = create_certificate # 证书类型 self.certificate_type = certificate_type # 是否创建证据包，默认否 self.create_package = create_package # # 公证处Id self.org_id = org_id # 代理信息 self.proxy_info = proxy_info # 电话号码 self.phone_num = phone_num # 特征文件oss id self.feature_file_id = feature_file_id # 幂等字段 self.client_token = client_token def validate(self): self.validate_required(self.hash, 'hash') self.validate_required(self.length, 'length') self.validate_required(self.hash_type, 'hash_type') self.validate_required(self.type, 'type') self.validate_required(self.name, 'name') if self.name is not None: self.validate_max_length(self.name, 'name', 128) if self.memo is not None: self.validate_max_length(self.memo, 'memo', 512) self.validate_required(self.cert_name, 'cert_name') self.validate_required(self.cert_no, 'cert_no') self.validate_required(self.cert_type, 'cert_type') if self.proxy_info: self.proxy_info.validate() def to_map(self): result = dict() if self.auth_token is not None: result['auth_token'] = self.auth_token if self.product_instance_id is not None: result['product_instance_id'] = self.product_instance_id if self.hash is not None: result['hash'] = self.hash if self.length is not None: result['length'] = self.length if self.hash_type is not None: result['hash_type'] = self.hash_type if self.type is not None: result['type'] = self.type if self.name is not None: result['name'] = self.name if self.memo is not None: result['memo'] = self.memo if self.cert_name is not None: result['cert_name'] = self.cert_name if self.cert_no is not None: result['cert_no'] = self.cert_no if self.cert_type is not None: result['cert_type'] = self.cert_type if self.create_certificate is not None: result['create_certificate'] = self.create_certificate if self.certificate_type is not None: result['certificate_type'] = self.certificate_type if self.create_package is not None: result['create_package'] = self.create_package if self.org_id is not None: result['org_id'] = self.org_id if self.proxy_info is not None: result['proxy_info'] = self.proxy_info.to_map() if self.phone_num is not None: result['phone_num'] = self.phone_num if self.feature_file_id is not None: result['feature_file_id'] = self.feature_file_id if self.client_token is not None: result['client_token'] = self.client_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('auth_token') is not None: self.auth_token = m.get('auth_token') if m.get('product_instance_id') is not None: self.product_instance_id = m.get('product_instance_id') if m.get('hash') is not None: self.hash = m.get('hash') if m.get('length') is not None: self.length = m.get('length') if m.get('hash_type') is not None: self.hash_type = m.get('hash_type') if m.get('type') is not None: self.type = m.get('type') if m.get('name') is not None: self.name = m.get('name') if m.get('memo') is not None: self.memo = m.get('memo') if m.get('cert_name') is not None: self.cert_name = m.get('cert_name') if m.get('cert_no') is not None: self.cert_no = m.get('cert_no') if m.get('cert_type') is not None: self.cert_type = m.get('cert_type') if m.get('create_certificate') is not None: self.create_certificate = m.get('create_certificate') if m.get('certificate_type') is not None: self.certificate_type = m.get('certificate_type') if m.get('create_package') is not None: self.create_package = m.get('create_package') if m.get('org_id') is not None: self.org_id = m.get('org_id') if m.get('proxy_info') is not None: temp_model = ProxyData() self.proxy_info = temp_model.from_map(m['proxy_info']) if m.get('phone_num') is not None: self.phone_num = m.get('phone_num') if m.get('feature_file_id') is not None: self.feature_file_id = m.get('feature_file_id') if m.get('client_token') is not None: self.client_token = m.get('client_token') return self class AddHashregisterResponse(TeaModel): def __init__( self, req_msg_id: str = None, result_code: str = None, result_msg: str = None, register_id: str = None, ): # 请求唯一ID，用于链路跟踪和问题排查 self.req_msg_id = req_msg_id # 结果码，一般OK表示调用成功 self.result_code = result_code # 异常信息的文本描述 self.result_msg = result_msg # 登记id self.register_id = register_id def validate(self): pass def to_map(self): result = dict() if self.req_msg_id is not None: result['req_msg_id'] = self.req_msg_id if self.result_code is not None: result['result_code'] = self.result_code if self.result_msg is not None: result['result_msg'] = self.result_msg if self.register_id is not None: result['register_id'] = self.register_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('req_msg_id') is not None: self.req_msg_id = m.get('req_msg_id') if m.get('result_code') is not None: self.result_code = m.get('result_code') if m.get('result_msg') is not None: self.result_msg = m.get('result_msg') if m.get('register_id') is not None: self.register_id = m.get('register_id') return self class AddRegisterRequest(TeaModel): def __init__( self, auth_token: str = None, product_instance_id: str = None, file_id: str = None, create_certificate: bool = None, certificate_type: str = None, create_package: bool = None, org_id: str = None, name: str = None, type: str = None, memo: str = None, cert_name: str = None, cert_no: str = None, cert_type: str = None, phone_num: str = None, client_token: str = None, proxy_info: ProxyData = None, sync_info: AccountData = None, ): # OAuth模式下的授权token self.auth_token = auth_token self.product_instance_id = product_instance_id # 文件oss id self.file_id = file_id # 是否自动创建公证书,默认否 self.create_certificate = create_certificate # 证书类型 self.certificate_type = certificate_type # 是否创建证据包，默认否 self.create_package = create_package # 公证处id self.org_id = org_id # 文件名称 self.name = name # 文件类型 self.type = type # 备注 self.memo = memo # 证件名称 self.cert_name = cert_name # 证件号码 self.cert_no = cert_no # 证件类型 self.cert_type = cert_type # 电话号码 self.phone_num = phone_num # 幂等 self.client_token = client_token # 代理信息 self.proxy_info = proxy_info # 同步账号信息 self.sync_info = sync_info def validate(self): self.validate_required(self.file_id, 'file_id') self.validate_required(self.name, 'name') if self.name is not None: self.validate_max_length(self.name, 'name', 128) self.validate_required(self.type, 'type') if self.memo is not None: self.validate_max_length(self.memo, 'memo', 512) self.validate_required(self.cert_name, 'cert_name') self.validate_required(self.cert_no, 'cert_no') self.validate_required(self.cert_type, 'cert_type') if self.proxy_info: self.proxy_info.validate() if self.sync_info: self.sync_info.validate() def to_map(self): result = dict() if self.auth_token is not None: result['auth_token'] = self.auth_token if self.product_instance_id is not None: result['product_instance_id'] = self.product_instance_id if self.file_id is not None: result['file_id'] = self.file_id if self.create_certificate is not None: result['create_certificate'] = self.create_certificate if self.certificate_type is not None: result['certificate_type'] = self.certificate_type if self.create_package is not None: result['create_package'] = self.create_package if self.org_id is not None: result['org_id'] = self.org_id if self.name is not None: result['name'] = self.name if self.type is not None: result['type'] = self.type if self.memo is not None: result['memo'] = self.memo if self.cert_name is not None: result['cert_name'] = self.cert_name if self.cert_no is not None: result['cert_no'] = self.cert_no if self.cert_type is not None: result['cert_type'] = self.cert_type if self.phone_num is not None: result['phone_num'] = self.phone_num if self.client_token is not None: result['client_token'] = self.client_token if self.proxy_info is not None: result['proxy_info'] = self.proxy_info.to_map() if self.sync_info is not None: result['sync_info'] = self.sync_info.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('auth_token') is not None: self.auth_token = m.get('auth_token') if m.get('product_instance_id') is not None: self.product_instance_id = m.get('product_instance_id') if m.get('file_id') is not None: self.file_id = m.get('file_id') if m.get('create_certificate') is not None: self.create_certificate = m.get('create_certificate') if m.get('certificate_type') is not None: self.certificate_type = m.get('certificate_type') if m.get('create_package') is not None: self.create_package = m.get('create_package') if m.get('org_id') is not None: self.org_id = m.get('org_id') if m.get('name') is not None: self.name = m.get('name') if m.get('type') is not None: self.type = m.get('type') if m.get('memo') is not None: self.memo = m.get('memo') if m.get('cert_name') is not None: self.cert_name = m.get('cert_name') if m.get('cert_no') is not None: self.cert_no = m.get('cert_no') if m.get('cert_type') is not None: self.cert_type = m.get('cert_type') if m.get('phone_num') is not None: self.phone_num = m.get('phone_num') if m.get('client_token') is not None: self.client_token = m.get('client_token') if m.get('proxy_info') is not None: temp_model = ProxyData() self.proxy_info = temp_model.from_map(m['proxy_info']) if m.get('sync_info') is not None: temp_model = AccountData() self.sync_info = temp_model.from_map(m['sync_info']) return self class AddRegisterResponse(TeaModel): def __init__( self, req_msg_id: str = None, result_code: str = None, result_msg: str = None, register_id: str = None, ): # 请求唯一ID，用于链路跟踪和问题排查 self.req_msg_id = req_msg_id # 结果码，一般OK表示调用成功 self.result_code = result_code # 异常信息的文本描述 self.result_msg = result_msg # 登记id self.register_id = register_id def validate(self): pass def to_map(self): result = dict() if self.req_msg_id is not None: result['req_msg_id'] = self.req_msg_id if self.result_code is not None: result['result_code'] = self.result_code if self.result_msg is not None: result['result_msg'] = self.result_msg if self.register_id is not None: result['register_id'] = self.register_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('req_msg_id') is not None: self.req_msg_id = m.get('req_msg_id') if m.get('result_code') is not None: self.result_code = m.get('result_code') if m.get('result_msg') is not None: self.result_msg = m.get('result_msg') if m.get('register_id') is not None: self.register_id = m.get('register_id') return self class QueryRegisterstatusRequest(TeaModel): def __init__( self, auth_token: str = None, product_instance_id: str = None, register_id: str = None, ): # OAuth模式下的授权token self.auth_token = auth_token self.product_instance_id = product_instance_id # 登记id self.register_id = register_id def validate(self): self.validate_required(self.register_id, 'register_id') def to_map(self): result = dict() if self.auth_token is not None: result['auth_token'] = self.auth_token if self.product_instance_id is not None: result['product_instance_id'] = self.product_instance_id if self.register_id is not None: result['register_id'] = self.register_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('auth_token') is not None: self.auth_token = m.get('auth_token') if m.get('product_instance_id') is not None: self.product_instance_id = m.get('product_instance_id') if m.get('register_id') is not None: self.register_id = m.get('register_id') return self class QueryRegisterstatusResponse(TeaModel): def __init__( self, req_msg_id: str = None, result_code: str = None, result_msg: str = None, status: str = None, timestamp: int = None, hash: str = None, tx_hash: str = None, block_height: int = None, tsr: str = None, certificate_url: str = None, certificate_storage_no: str = None, certificate_time_url: str = None, package_url: str = None, statement_url: str = None, statement_tx_hash: str = None, register_person_tx_hash: str = None, security: SecurityData = None, ): # 请求唯一ID，用于链路跟踪和问题排查 self.req_msg_id = req_msg_id # 结果码，一般OK表示调用成功 self.result_code = result_code # 异常信息的文本描述 self.result_msg = result_msg # 登记状态 self.status = status # 存证时间 self.timestamp = timestamp # 文件hash self.hash = hash # 统一证据编号（存证交易HASH） self.tx_hash = tx_hash # 存证块高 self.block_height = block_height # tsr信息 self.tsr = tsr # 公证处证书下载链接 self.certificate_url = certificate_url # 公证处证书编号 self.certificate_storage_no = certificate_storage_no # 授时中心证书下载链接 self.certificate_time_url = certificate_time_url # 证据包下载地址（状态为SUCCESS并且请求要求生成证据包才有数据） self.package_url = package_url # 权利声明书下载地址注意只有传递了权利信息并且生成了权利声明书才会返回 self.statement_url = statement_url # 权利声明书存证交易HASH 注意只有传递了权利信息并且生成了权利声明书才会返回 self.statement_tx_hash = statement_tx_hash # 登记人信息存证交易HASH self.register_person_tx_hash = register_person_tx_hash # 安全信息 self.security = security def validate(self): if self.security: self.security.validate() def to_map(self): result = dict() if self.req_msg_id is not None: result['req_msg_id'] = self.req_msg_id if self.result_code is not None: result['result_code'] = self.result_code if self.result_msg is not None: result['result_msg'] = self.result_msg if self.status is not None: result['status'] = self.status if self.timestamp is not None: result['timestamp'] = self.timestamp if self.hash is not None: result['hash'] = self.hash if self.tx_hash is not None: result['tx_hash'] = self.tx_hash if self.block_height is not None: result['block_height'] = self.block_height if self.tsr is not None: result['tsr'] = self.tsr if self.certificate_url is not None: result['certificate_url'] = self.certificate_url if self.certificate_storage_no is not None: result['certificate_storage_no'] = self.certificate_storage_no if self.certificate_time_url is not None: result['certificate_time_url'] = self.certificate_time_url if self.package_url is not None: result['package_url'] = self.package_url if self.statement_url is not None: result['statement_url'] = self.statement_url if self.statement_tx_hash is not None: result['statement_tx_hash'] = self.statement_tx_hash if self.register_person_tx_hash is not None: result['register_person_tx_hash'] = self.register_person_tx_hash if self.security is not None: result['security'] = self.security.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('req_msg_id') is not None: self.req_msg_id = m.get('req_msg_id') if m.get('result_code') is not None: self.result_code = m.get('result_code') if m.get('result_msg') is not None: self.result_msg = m.get('result_msg') if m.get('status') is not None: self.status = m.get('status') if m.get('timestamp') is not None: self.timestamp = m.get('timestamp') if m.get('hash') is not None: self.hash = m.get('hash') if m.get('tx_hash') is not None: self.tx_hash = m.get('tx_hash') if m.get('block_height') is not None: self.block_height = m.get('block_height') if m.get('tsr') is not None: self.tsr = m.get('tsr') if m.get('certificate_url') is not None: self.certificate_url = m.get('certificate_url') if m.get('certificate_storage_no') is not None: self.certificate_storage_no = m.get('certificate_storage_no') if m.get('certificate_time_url') is not None: self.certificate_time_url = m.get('certificate_time_url') if m.get('package_url') is not None: self.package_url = m.get('package_url') if m.get('statement_url') is not None: self.statement_url = m.get('statement_url') if m.get('statement_tx_hash') is not None: self.statement_tx_hash = m.get('statement_tx_hash') if m.get('register_person_tx_hash') is not None: self.register_person_tx_hash = m.get('register_person_tx_hash') if m.get('security') is not None: temp_model = SecurityData() self.security = temp_model.from_map(m['security']) return self class CreateCertificateRequest(TeaModel): def __init__( self, auth_token: str = None, product_instance_id: str = None, register_id: str = None, certificate_type: str = None, features_type: str = None, org_id: str = None, proxy_info: ProxyData = None, ): # OAuth模式下的授权token self.auth_token = auth_token self.product_instance_id = product_instance_id # 版权登记id self.register_id = register_id # 证书类型 self.certificate_type = certificate_type # 功能类型 self.features_type = features_type # 公证处id self.org_id = org_id # 代理信息 self.proxy_info = proxy_info def validate(self): self.validate_required(self.register_id, 'register_id') self.validate_required(self.certificate_type, 'certificate_type') self.validate_required(self.features_type, 'features_type') if self.proxy_info: self.proxy_info.validate() def to_map(self): result = dict() if self.auth_token is not None: result['auth_token'] = self.auth_token if self.product_instance_id is not None: result['product_instance_id'] = self.product_instance_id if self.register_id is not None: result['register_id'] = self.register_id if self.certificate_type is not None: result['certificate_type'] = self.certificate_type if self.features_type is not None: result['features_type'] = self.features_type if self.org_id is not None: result['org_id'] = self.org_id if self.proxy_info is not None: result['proxy_info'] = self.proxy_info.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('auth_token') is not None: self.auth_token = m.get('auth_token') if m.get('product_instance_id') is not None: self.product_instance_id = m.get('product_instance_id') if m.get('register_id') is not None: self.register_id = m.get('register_id') if m.get('certificate_type') is not None: self.certificate_type = m.get('certificate_type') if m.get('features_type') is not None: self.features_type = m.get('features_type') if m.get('org_id') is not None: self.org_id = m.get('org_id') if m.get('proxy_info') is not None: temp_model = ProxyData() self.proxy_info = temp_model.from_map(m['proxy_info']) return self class CreateCertificateResponse(TeaModel): def __init__( self, req_msg_id: str = None, result_code: str = None, result_msg: str = None, status: str = None, ): # 请求唯一ID，用于链路跟踪和问题排查 self.req_msg_id = req_msg_id # 结果码，一般OK表示调用成功 self.result_code = result_code # 异常信息的文本描述 self.result_msg = result_msg # 生成证书结果 self.status = status def validate(self): pass def to_map(self): result = dict() if self.req_msg_id is not None: result['req_msg_id'] = self.req_msg_id if self.result_code is not None: result['result_code'] = self.result_code if self.result_msg is not None: result['result_msg'] = self.result_msg if self.status is not None: result['status'] = self.status return result def from_map(self, m: dict = None): m = m or dict() if m.get('req_msg_id') is not None: self.req_msg_id = m.get('req_msg_id') if m.get('result_code') is not None: self.result_code = m.get('result_code') if m.get('result_msg') is not None: self.result_msg = m.get('result_msg') if m.get('status') is not None: self.status = m.get('status') return self class GetCertificateRequest(TeaModel): def __init__( self, auth_token: str = None, product_instance_id: str = None, certificate_type: str = None, features_type: str = None, register_id: str = None, ): # OAuth模式下的授权token self.auth_token = auth_token self.product_instance_id = product_instance_id # 证书类型 self.certificate_type = certificate_type # 功能类型 self.features_type = features_type # 版权登记id self.register_id = register_id def validate(self): self.validate_required(self.certificate_type, 'certificate_type') self.validate_required(self.features_type, 'features_type') self.validate_required(self.register_id, 'register_id') def to_map(self): result = dict() if self.auth_token is not None: result['auth_token'] = self.auth_token if self.product_instance_id is not None: result['product_instance_id'] = self.product_instance_id if self.certificate_type is not None: result['certificate_type'] = self.certificate_type if self.features_type is not None: result['features_type'] = self.features_type if self.register_id is not None: result['register_id'] = self.register_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('auth_token') is not None: self.auth_token = m.get('auth_token') if m.get('product_instance_id') is not None: self.product_instance_id = m.get('product_instance_id') if m.get('certificate_type') is not None: self.certificate_type = m.get('certificate_type') if m.get('features_type') is not None: self.features_type = m.get('features_type') if m.get('register_id') is not None: self.register_id = m.get('register_id') return self class GetCertificateResponse(TeaModel): def __init__( self, req_msg_id: str = None, result_code: str = None, result_msg: str = None, url: str = None, status: str = None, ): # 请求唯一ID，用于链路跟踪和问题排查 self.req_msg_id = req_msg_id # 结果码，一般OK表示调用成功 self.result_code = result_code # 异常信息的文本描述 self.result_msg = result_msg # 证书下载链接 self.url = url # 证书生成状态 self.status = status def validate(self): pass def to_map(self): result = dict() if self.req_msg_id is not None: result['req_msg_id'] = self.req_msg_id if self.result_code is not None: result['result_code'] = self.result_code if self.result_msg is not None: result['result_msg'] = self.result_msg if self.url is not None: result['url'] = self.url if self.status is not None: result['status'] = self.status return result def from_map(self, m: dict = None): m = m or dict() if m.get('req_msg_id') is not None: self.req_msg_id = m.get('req_msg_id') if m.get('result_code') is not None: self.result_code = m.get('result_code') if m.get('result_msg') is not None: self.result_msg = m.get('result_msg') if m.get('url') is not None: self.url = m.get('url') if m.get('status') is not None: self.status = m.get('status') return self class CreateMonitorTaskRequest(TeaModel): def __init__( self, auth_token: str = None, product_instance_id: str = None, submit_content: str = None, submit_type: str = None, file_type: str = None, task_name: str = None, content_title: str = None, keywords: List[str] = None, content_desc: str = None, provider_id: str = None, scopes: List[str] = None, task_start: int = None, task_duration: int = None, proxy_info: ProxyData = None, client_token: str = None, ): # OAuth模式下的授权token self.auth_token = auth_token self.product_instance_id = product_instance_id # submitType是url就传 url地址 submitType 是file就传 oss fileId self.submit_content = submit_content # 提交任务的类型:FILE/URL # 不填为FILE # FILE表示文件上传素材，URL表示上传URL self.submit_type = submit_type # 文件类别 # # IMAGE # # TEXT # # VIDEO self.file_type = file_type # 任务名称(不超过100字符) self.task_name = task_name # 监测任务标题(不超过100字符) self.content_title = content_title # 关键词(不超过200字符) self.keywords = keywords # 内容表述(不超过1000字符) self.content_desc = content_desc # 监测供应商id self.provider_id = provider_id # 监测范围默认全部：ALL；PC网站：SITE；APP应用：APP self.scopes = scopes # 任务开始时间，如当前时间戳，不传则取服务器当前时间戳，单位毫秒 self.task_start = task_start # 任务持续时间，单位天，默认90天 # # 一次性监测：0 self.task_duration = task_duration # 代理信息 self.proxy_info = proxy_info # 保证请求幂等性。从您的客户端生成一个参数值，确保不同请求间该参数值唯一。clientToken只支持ASCII字符，且不能超过64个字符。更多详情，请参见如何保证幂等性。 self.client_token = client_token def validate(self): self.validate_required(self.submit_content, 'submit_content') self.validate_required(self.file_type, 'file_type') self.validate_required(self.task_name, 'task_name') self.validate_required(self.content_title, 'content_title') self.validate_required(self.keywords, 'keywords') if self.proxy_info: self.proxy_info.validate() self.validate_required(self.client_token, 'client_token') def to_map(self): result = dict() if self.auth_token is not None: result['auth_token'] = self.auth_token if self.product_instance_id is not None: result['product_instance_id'] = self.product_instance_id if self.submit_content is not None: result['submit_content'] = self.submit_content if self.submit_type is not None: result['submit_type'] = self.submit_type if self.file_type is not None: result['file_type'] = self.file_type if self.task_name is not None: result['task_name'] = self.task_name if self.content_title is not None: result['content_title'] = self.content_title if self.keywords is not None: result['keywords'] = self.keywords if self.content_desc is not None: result['content_desc'] = self.content_desc if self.provider_id is not None: result['provider_id'] = self.provider_id if self.scopes is not None: result['scopes'] = self.scopes if self.task_start is not None: result['task_start'] = self.task_start if self.task_duration is not None: result['task_duration'] = self.task_duration if self.proxy_info is not None: result['proxy_info'] = self.proxy_info.to_map() if self.client_token is not None: result['client_token'] = self.client_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('auth_token') is not None: self.auth_token = m.get('auth_token') if m.get('product_instance_id') is not None: self.product_instance_id = m.get('product_instance_id') if m.get('submit_content') is not None: self.submit_content = m.get('submit_content') if m.get('submit_type') is not None: self.submit_type = m.get('submit_type') if m.get('file_type') is not None: self.file_type = m.get('file_type') if m.get('task_name') is not None: self.task_name = m.get('task_name') if m.get('content_title') is not None: self.content_title = m.get('content_title') if m.get('keywords') is not None: self.keywords = m.get('keywords') if m.get('content_desc') is not None: self.content_desc = m.get('content_desc') if m.get('provider_id') is not None: self.provider_id = m.get('provider_id') if m.get('scopes') is not None: self.scopes = m.get('scopes') if m.get('task_start') is not None: self.task_start = m.get('task_start') if m.get('task_duration') is not None: self.task_duration = m.get('task_duration') if m.get('proxy_info') is not None: temp_model = ProxyData() self.proxy_info = temp_model.from_map(m['proxy_info']) if m.get('client_token') is not None: self.client_token = m.get('client_token') return self class CreateMonitorTaskResponse(TeaModel): def __init__( self, req_msg_id: str = None, result_code: str = None, result_msg: str = None, monitor_task_id: str = None, ): # 请求唯一ID，用于链路跟踪和问题排查 self.req_msg_id = req_msg_id # 结果码，一般OK表示调用成功 self.result_code = result_code # 异常信息的文本描述 self.result_msg = result_msg # 监测任务Id self.monitor_task_id = monitor_task_id def validate(self): pass def to_map(self): result = dict() if self.req_msg_id is not None: result['req_msg_id'] = self.req_msg_id if self.result_code is not None: result['result_code'] = self.result_code if self.result_msg is not None: result['result_msg'] = self.result_msg if self.monitor_task_id is not None: result['monitor_task_id'] = self.monitor_task_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('req_msg_id') is not None: self.req_msg_id = m.get('req_msg_id') if m.get('result_code') is not None: self.result_code = m.get('result_code') if m.get('result_msg') is not None: self.result_msg = m.get('result_msg') if m.get('monitor_task_id') is not None: self.monitor_task_id = m.get('monitor_task_id') return self class StopMonitorTaskRequest(TeaModel): def __init__( self, auth_token: str = None, product_instance_id: str = None, monitor_task_id: str = None, ): # OAuth模式下的授权token self.auth_token = auth_token self.product_instance_id = product_instance_id # 监测任务Id # self.monitor_task_id = monitor_task_id def validate(self): self.validate_required(self.monitor_task_id, 'monitor_task_id') def to_map(self): result = dict() if self.auth_token is not None: result['auth_token'] = self.auth_token if self.product_instance_id is not None: result['product_instance_id'] = self.product_instance_id if self.monitor_task_id is not None: result['monitor_task_id'] = self.monitor_task_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('auth_token') is not None: self.auth_token = m.get('auth_token') if m.get('product_instance_id') is not None: self.product_instance_id = m.get('product_instance_id') if m.get('monitor_task_id') is not None: self.monitor_task_id = m.get('monitor_task_id') return self class StopMonitorTaskResponse(TeaModel): def __init__( self, req_msg_id: str = None, result_code: str = None, result_msg: str = None, result: bool = None, ): # 请求唯一ID，用于链路跟踪和问题排查 self.req_msg_id = req_msg_id # 结果码，一般OK表示调用成功 self.result_code = result_code # 异常信息的文本描述 self.result_msg = result_msg # 停止结果 self.result = result def validate(self): pass def to_map(self): result = dict() if self.req_msg_id is not None: result['req_msg_id'] = self.req_msg_id if self.result_code is not None: result['result_code'] = self.result_code if self.result_msg is not None: result['result_msg'] = self.result_msg if self.result is not None: result['result'] = self.result return result def from_map(self, m: dict = None): m = m or dict() if m.get('req_msg_id') is not None: self.req_msg_id = m.get('req_msg_id') if m.get('result_code') is not None: self.result_code = m.get('result_code') if m.get('result_msg') is not None: self.result_msg = m.get('result_msg') if m.get('result') is not None: self.result = m.get('result') return self class QueryMonitorTaskRequest(TeaModel): def __init__( self, auth_token: str = None, product_instance_id: str = None, monitor_task_id: str = None, ): # OAuth模式下的授权token self.auth_token = auth_token self.product_instance_id = product_instance_id # 监测任务Id # self.monitor_task_id = monitor_task_id def validate(self): self.validate_required(self.monitor_task_id, 'monitor_task_id') def to_map(self): result = dict() if self.auth_token is not None: result['auth_token'] = self.auth_token if self.product_instance_id is not None: result['product_instance_id'] = self.product_instance_id if self.monitor_task_id is not None: result['monitor_task_id'] = self.monitor_task_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('auth_token') is not None: self.auth_token = m.get('auth_token') if m.get('product_instance_id') is not None: self.product_instance_id = m.get('product_instance_id') if m.get('monitor_task_id') is not None: self.monitor_task_id = m.get('monitor_task_id') return self class QueryMonitorTaskResponse(TeaModel): def __init__( self, req_msg_id: str = None, result_code: str = None, result_msg: str = None, monitor_task: MonitorTask = None, ): # 请求唯一ID，用于链路跟踪和问题排查 self.req_msg_id = req_msg_id # 结果码，一般OK表示调用成功 self.result_code = result_code # 异常信息的文本描述 self.result_msg = result_msg # 监测任务信息 # # self.monitor_task = monitor_task def validate(self): if self.monitor_task: self.monitor_task.validate() def to_map(self): result = dict() if self.req_msg_id is not None: result['req_msg_id'] = self.req_msg_id if self.result_code is not None: result['result_code'] = self.result_code if self.result_msg is not None: result['result_msg'] = self.result_msg if self.monitor_task is not None: result['monitor_task'] = self.monitor_task.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('req_msg_id') is not None: self.req_msg_id = m.get('req_msg_id') if m.get('result_code') is not None: self.result_code = m.get('result_code') if m.get('result_msg') is not None: self.result_msg = m.get('result_msg') if m.get('monitor_task') is not None: temp_model = MonitorTask() self.monitor_task = temp_model.from_map(m['monitor_task']) return self class QueryMonitorResultRequest(TeaModel): def __init__( self, auth_token: str = None, product_instance_id: str = None, monitor_task_id: str = None, page_index: int = None, page_size: int = None, ): # OAuth模式下的授权token self.auth_token = auth_token self.product_instance_id = product_instance_id # 监测任务Id self.monitor_task_id = monitor_task_id # 页序号(>0) # # self.page_index = page_index # 页大小(1-200) # # self.page_size = page_size def validate(self): self.validate_required(self.monitor_task_id, 'monitor_task_id') self.validate_required(self.page_index, 'page_index') self.validate_required(self.page_size, 'page_size') def to_map(self): result = dict() if self.auth_token is not None: result['auth_token'] = self.auth_token if self.product_instance_id is not None: result['product_instance_id'] = self.product_instance_id if self.monitor_task_id is not None: result['monitor_task_id'] = self.monitor_task_id if self.page_index is not None: result['page_index'] = self.page_index if self.page_size is not None: result['page_size'] = self.page_size return result def from_map(self, m: dict = None): m = m or dict() if m.get('auth_token') is not None: self.auth_token = m.get('auth_token') if m.get('product_instance_id') is not None: self.product_instance_id = m.get('product_instance_id') if m.get('monitor_task_id') is not None: self.monitor_task_id = m.get('monitor_task_id') if m.get('page_index') is not None: self.page_index = m.get('page_index') if m.get('page_size') is not None: self.page_size = m.get('page_size') return self class QueryMonitorResultResponse(TeaModel): def __init__( self, req_msg_id: str = None, result_code: str = None, result_msg: str = None, monitor_result_list: List[MonitorResult] = None, page_index: int = None, page_size: int = None, result_count: int = None, ): # 请求唯一ID，用于链路跟踪和问题排查 self.req_msg_id = req_msg_id # 结果码，一般OK表示调用成功 self.result_code = result_code # 异常信息的文本描述 self.result_msg = result_msg # 监测任务信息 self.monitor_result_list = monitor_result_list # 页序号(>0) self.page_index = page_index # 页大小(1-200) self.page_size = page_size # 监测结果数量 self.result_count = result_count def validate(self): if self.monitor_result_list: for k in self.monitor_result_list: if k: k.validate() def to_map(self): result = dict() if self.req_msg_id is not None: result['req_msg_id'] = self.req_msg_id if self.result_code is not None: result['result_code'] = self.result_code if self.result_msg is not None: result['result_msg'] = self.result_msg result['monitor_result_list'] = [] if self.monitor_result_list is not None: for k in self.monitor_result_list: result['monitor_result_list'].append(k.to_map() if k else None) if self.page_index is not None: result['page_index'] = self.page_index if self.page_size is not None: result['page_size'] = self.page_size if self.result_count is not None: result['result_count'] = self.result_count return result def from_map(self, m: dict = None): m = m or dict() if m.get('req_msg_id') is not None: self.req_msg_id = m.get('req_msg_id') if m.get('result_code') is not None: self.result_code = m.get('result_code') if m.get('result_msg') is not None: self.result_msg = m.get('result_msg') self.monitor_result_list = [] if m.get('monitor_result_list') is not None: for k in m.get('monitor_result_list'): temp_model = MonitorResult() self.monitor_result_list.append(temp_model.from_map(k)) if m.get('page_index') is not None: self.page_index = m.get('page_index') if m.get('page_size') is not None: self.page_size = m.get('page_size') if m.get('result_count') is not None: self.result_count = m.get('result_count') return self class ListMonitorProviderRequest(TeaModel): def __init__( self, auth_token: str = None, product_instance_id: str = None, monitor_types: List[MonitorType] = None, ): # OAuth模式下的授权token self.auth_token = auth_token self.product_instance_id = product_instance_id # 需监测文件类型 self.monitor_types = monitor_types def validate(self): self.validate_required(self.monitor_types, 'monitor_types') if self.monitor_types: for k in self.monitor_types: if k: k.validate() def to_map(self): result = dict() if self.auth_token is not None: result['auth_token'] = self.auth_token if self.product_instance_id is not None: result['product_instance_id'] = self.product_instance_id result['monitor_types'] = [] if self.monitor_types is not None: for k in self.monitor_types: result['monitor_types'].append(k.to_map() if k else None) return result def from_map(self, m: dict = None): m = m or dict() if m.get('auth_token') is not None: self.auth_token = m.get('auth_token') if m.get('product_instance_id') is not None: self.product_instance_id = m.get('product_instance_id') self.monitor_types = [] if m.get('monitor_types') is not None: for k in m.get('monitor_types'): temp_model = MonitorType() self.monitor_types.append(temp_model.from_map(k)) return self class ListMonitorProviderResponse(TeaModel): def __init__( self, req_msg_id: str = None, result_code: str = None, result_msg: str = None, provider_list: List[MonitorProviderType] = None, ): # 请求唯一ID，用于链路跟踪和问题排查 self.req_msg_id = req_msg_id # 结果码，一般OK表示调用成功 self.result_code = result_code # 异常信息的文本描述 self.result_msg = result_msg # 监测能力提供方类型列表 self.provider_list = provider_list def validate(self): if self.provider_list: for k in self.provider_list: if k: k.validate() def to_map(self): result = dict() if self.req_msg_id is not None: result['req_msg_id'] = self.req_msg_id if self.result_code is not None: result['result_code'] = self.result_code if self.result_msg is not None: result['result_msg'] = self.result_msg result['provider_list'] = [] if self.provider_list is not None: for k in self.provider_list: result['provider_list'].append(k.to_map() if k else None) return result def from_map(self, m: dict = None): m = m or dict() if m.get('req_msg_id') is not None: self.req_msg_id = m.get('req_msg_id') if m.get('result_code') is not None: self.result_code = m.get('result_code') if m.get('result_msg') is not None: self.result_msg = m.get('result_msg') self.provider_list = [] if m.get('provider_list') is not None: for k in m.get('provider_list'): temp_model = MonitorProviderType() self.provider_list.append(temp_model.from_map(k)) return self class CreateRecodescreenRequest(TeaModel): def __init__( self, auth_token: str = None, product_instance_id: str = None, name: str = None, memo: str = None, url: List[str] = None, type: str = None, area: str = None, screen_code: str = None, max_time_in_min: int = None, wait_in_min: int = None, cross_region: str = None, ip_type: str = None, callback_url: str = None, org_id: str = None, cert_name: str = None, cert_no: str = None, cert_type: str = None, legal_person_name: str = None, legal_person_no: str = None, agent: str = None, agent_no: str = None, phone_num: str = None, proxy_info: ProxyData = None, client_token: str = None, ): # OAuth模式下的授权token self.auth_token = auth_token self.product_instance_id = product_instance_id # 取证名称（最长128个字符） self.name = name # 取证备注（最长512个字符） self.memo = memo # 预校验网址和预打开网页（不能大于10条） self.url = url # 取证类型具体见附录 RecordScreenType self.type = type # 取证服务器地域具体见附录 RecordScreenArea self.area = area # 定制录屏桌面识别码，目前取值只有默认值：DEFAULT self.screen_code = screen_code # 最大录屏时间，maxTimeInMin不能小于6min，不能大于300min self.max_time_in_min = max_time_in_min # 服务器进入ready状态，指定时间未开始进入abort状态的等待时间，单位为分钟，默认1min，waitInMin不能小于1，不能大于10min self.wait_in_min = wait_in_min # 当所选地域无机器资源时，是否使用其它地域 # # 目前取值只有默认值：FORBID self.cross_region = cross_region # ip地域取值 # # 目前取值只有默认值：ANY self.ip_type = ip_type # 回调地址 self.callback_url = callback_url # 公证处Id self.org_id = org_id # 取证人证件名称 self.cert_name = cert_name # # 取证人证件号码 self.cert_no = cert_no # 取证人证件类型具体见附录CertType self.cert_type = cert_type # 企业法人代表姓名(如果certType为BUSINESS_LICENSE 则必传) self.legal_person_name = legal_person_name # 企业法人代表身份证号(如果certType为BUSINESS_LICENSE 则必传) self.legal_person_no = legal_person_no # 企业用户取证人姓名(如果certType为BUSINESS_LICENSE 则必传) self.agent = agent # 企业用户取证人身份证号(如果certType为BUSINESS_LICENSE 则必传) self.agent_no = agent_no # 取证人电话号码，生成公证处证书需要，公证处需要作登记格式范例：(86-573)2651630 或 (86)13738258505 self.phone_num = phone_num # 代理信息 self.proxy_info = proxy_info # 保证请求幂等性。从您的客户端生成一个参数值，确保不同请求间该参数值唯一。clientToken只支持ASCII字符，且不能超过64个字符。更多详情，请参见如何保证幂等性。 self.client_token = client_token def validate(self): self.validate_required(self.name, 'name') if self.name is not None: self.validate_max_length(self.name, 'name', 128) if self.memo is not None: self.validate_max_length(self.memo, 'memo', 512) self.validate_required(self.type, 'type') self.validate_required(self.area, 'area') self.validate_required(self.max_time_in_min, 'max_time_in_min') self.validate_required(self.cert_name, 'cert_name') self.validate_required(self.cert_no, 'cert_no') self.validate_required(self.cert_type, 'cert_type') if self.proxy_info: self.proxy_info.validate() self.validate_required(self.client_token, 'client_token') def to_map(self): result = dict() if self.auth_token is not None: result['auth_token'] = self.auth_token if self.product_instance_id is not None: result['product_instance_id'] = self.product_instance_id if self.name is not None: result['name'] = self.name if self.memo is not None: result['memo'] = self.memo if self.url is not None: result['url'] = self.url if self.type is not None: result['type'] = self.type if self.area is not None: result['area'] = self.area if self.screen_code is not None: result['screen_code'] = self.screen_code if self.max_time_in_min is not None: result['max_time_in_min'] = self.max_time_in_min if self.wait_in_min is not None: result['wait_in_min'] = self.wait_in_min if self.cross_region is not None: result['cross_region'] = self.cross_region if self.ip_type is not None: result['ip_type'] = self.ip_type if self.callback_url is not None: result['callback_url'] = self.callback_url if self.org_id is not None: result['org_id'] = self.org_id if self.cert_name is not None: result['cert_name'] = self.cert_name if self.cert_no is not None: result['cert_no'] = self.cert_no if self.cert_type is not None: result['cert_type'] = self.cert_type if self.legal_person_name is not None: result['legal_person_name'] = self.legal_person_name if self.legal_person_no is not None: result['legal_person_no'] = self.legal_person_no if self.agent is not None: result['agent'] = self.agent if self.agent_no is not None: result['agent_no'] = self.agent_no if self.phone_num is not None: result['phone_num'] = self.phone_num if self.proxy_info is not None: result['proxy_info'] = self.proxy_info.to_map() if self.client_token is not None: result['client_token'] = self.client_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('auth_token') is not None: self.auth_token = m.get('auth_token') if m.get('product_instance_id') is not None: self.product_instance_id = m.get('product_instance_id') if m.get('name') is not None: self.name = m.get('name') if m.get('memo') is not None: self.memo = m.get('memo') if m.get('url') is not None: self.url = m.get('url') if m.get('type') is not None: self.type = m.get('type') if m.get('area') is not None: self.area = m.get('area') if m.get('screen_code') is not None: self.screen_code = m.get('screen_code') if m.get('max_time_in_min') is not None: self.max_time_in_min = m.get('max_time_in_min') if m.get('wait_in_min') is not None: self.wait_in_min = m.get('wait_in_min') if m.get('cross_region') is not None: self.cross_region = m.get('cross_region') if m.get('ip_type') is not None: self.ip_type = m.get('ip_type') if m.get('callback_url') is not None: self.callback_url = m.get('callback_url') if m.get('org_id') is not None: self.org_id = m.get('org_id') if m.get('cert_name') is not None: self.cert_name = m.get('cert_name') if m.get('cert_no') is not None: self.cert_no = m.get('cert_no') if m.get('cert_type') is not None: self.cert_type = m.get('cert_type') if m.get('legal_person_name') is not None: self.legal_person_name = m.get('legal_person_name') if m.get('legal_person_no') is not None: self.legal_person_no = m.get('legal_person_no') if m.get('agent') is not None: self.agent = m.get('agent') if m.get('agent_no') is not None: self.agent_no = m.get('agent_no') if m.get('phone_num') is not None: self.phone_num = m.get('phone_num') if m.get('proxy_info') is not None: temp_model = ProxyData() self.proxy_info = temp_model.from_map(m['proxy_info']) if m.get('client_token') is not None: self.client_token = m.get('client_token') return self class CreateRecodescreenResponse(TeaModel): def __init__( self, req_msg_id: str = None, result_code: str = None, result_msg: str = None, evidence_id: str = None, ): # 请求唯一ID，用于链路跟踪和问题排查 self.req_msg_id = req_msg_id # 结果码，一般OK表示调用成功 self.result_code = result_code # 异常信息的文本描述 self.result_msg = result_msg # 取证id self.evidence_id = evidence_id def validate(self): pass def to_map(self): result = dict() if self.req_msg_id is not None: result['req_msg_id'] = self.req_msg_id if self.result_code is not None: result['result_code'] = self.result_code if self.result_msg is not None: result['result_msg'] = self.result_msg if self.evidence_id is not None: result['evidence_id'] = self.evidence_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('req_msg_id') is not None: self.req_msg_id = m.get('req_msg_id') if m.get('result_code') is not None: self.result_code = m.get('result_code') if m.get('result_msg') is not None: self.result_msg = m.get('result_msg') if m.get('evidence_id') is not None: self.evidence_id = m.get('evidence_id') return self class QueryRecodescreenRequest(TeaModel): def __init__( self, auth_token: str = None, product_instance_id: str = None, evidence_id: str = None, ): # OAuth模式下的授权token self.auth_token = auth_token self.product_instance_id = product_instance_id # 取证id self.evidence_id = evidence_id def validate(self): self.validate_required(self.evidence_id, 'evidence_id') def to_map(self): result = dict() if self.auth_token is not None: result['auth_token'] = self.auth_token if self.product_instance_id is not None: result['product_instance_id'] = self.product_instance_id if self.evidence_id is not None: result['evidence_id'] = self.evidence_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('auth_token') is not None: self.auth_token = m.get('auth_token') if m.get('product_instance_id') is not None: self.product_instance_id = m.get('product_instance_id') if m.get('evidence_id') is not None: self.evidence_id = m.get('evidence_id') return self class QueryRecodescreenResponse(TeaModel): def __init__( self, req_msg_id: str = None, result_code: str = None, result_msg: str = None, evidence_id: str = None, status: str = None, operate_url: str = None, data: RecordScreenData = None, ): # 请求唯一ID，用于链路跟踪和问题排查 self.req_msg_id = req_msg_id # 结果码，一般OK表示调用成功 self.result_code = result_code # 异常信息的文本描述 self.result_msg = result_msg # 取证id self.evidence_id = evidence_id # 取证状态具体见附录 RecordScreenStatus self.status = status # 取证操作Url （状态为INIT和DOING 时返回可以重复打开使用） self.operate_url = operate_url # 取证详情（状态为PACKAGING,SUCCESS,FAIL才有数据） self.data = data def validate(self): if self.data: self.data.validate() def to_map(self): result = dict() if self.req_msg_id is not None: result['req_msg_id'] = self.req_msg_id if self.result_code is not None: result['result_code'] = self.result_code if self.result_msg is not None: result['result_msg'] = self.result_msg if self.evidence_id is not None: result['evidence_id'] = self.evidence_id if self.status is not None: result['status'] = self.status if self.operate_url is not None: result['operate_url'] = self.operate_url if self.data is not None: result['data'] = self.data.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('req_msg_id') is not None: self.req_msg_id = m.get('req_msg_id') if m.get('result_code') is not None: self.result_code = m.get('result_code') if m.get('result_msg') is not None: self.result_msg = m.get('result_msg') if m.get('evidence_id') is not None: self.evidence_id = m.get('evidence_id') if m.get('status') is not None: self.status = m.get('status') if m.get('operate_url') is not None: self.operate_url = m.get('operate_url') if m.get('data') is not None: temp_model = RecordScreenData() self.data = temp_model.from_map(m['data']) return self class QueryUserRequest(TeaModel): def __init__( self, auth_token: str = None, product_instance_id: str = None, token: str = None, ): # OAuth模式下的授权token self.auth_token = auth_token self.product_instance_id = product_instance_id # 用户token，从cookie或者重定向链接获取 self.token = token def validate(self): self.validate_required(self.token, 'token') def to_map(self): result = dict() if self.auth_token is not None: result['auth_token'] = self.auth_token if self.product_instance_id is not None: result['product_instance_id'] = self.product_instance_id if self.token is not None: result['token'] = self.token return result def from_map(self, m: dict = None): m = m or dict() if m.get('auth_token') is not None: self.auth_token = m.get('auth_token') if m.get('product_instance_id') is not None: self.product_instance_id = m.get('product_instance_id') if m.get('token') is not None: self.token = m.get('token') return self class QueryUserResponse(TeaModel): def __init__( self, req_msg_id: str = None, result_code: str = None, result_msg: str = None, login: bool = None, user: UserData = None, ): # 请求唯一ID，用于链路跟踪和问题排查 self.req_msg_id = req_msg_id # 结果码，一般OK表示调用成功 self.result_code = result_code # 异常信息的文本描述 self.result_msg = result_msg # 是否登录 self.login = login # 用户信息 self.user = user def validate(self): if self.user: self.user.validate() def to_map(self): result = dict() if self.req_msg_id is not None: result['req_msg_id'] = self.req_msg_id if self.result_code is not None: result['result_code'] = self.result_code if self.result_msg is not None: result['result_msg'] = self.result_msg if self.login is not None: result['login'] = self.login if self.user is not None: result['user'] = self.user.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('req_msg_id') is not None: self.req_msg_id = m.get('req_msg_id') if m.get('result_code') is not None: self.result_code = m.get('result_code') if m.get('result_msg') is not None: self.result_msg = m.get('result_msg') if m.get('login') is not None: self.login = m.get('login') if m.get('user') is not None: temp_model = UserData() self.user = temp_model.from_map(m['user']) return self class QueryUserListRequest(TeaModel): def __init__( self, auth_token: str = None, product_instance_id: str = None, page_index: int = None, page_size: int = None, status: str = None, ): # OAuth模式下的授权token self.auth_token = auth_token self.product_instance_id = product_instance_id # 页码，从1开始 self.page_index = page_index # 每页数据，1~100 self.page_size = page_size # 用户状态 self.status = status def validate(self): self.validate_required(self.page_index, 'page_index') if self.page_index is not None: self.validate_minimum(self.page_index, 'page_index', 1) self.validate_required(self.page_size, 'page_size') if self.page_size is not None: self.validate_maximum(self.page_size, 'page_size', 100) self.validate_minimum(self.page_size, 'page_size', 1) def to_map(self): result = dict() if self.auth_token is not None: result['auth_token'] = self.auth_token if self.product_instance_id is not None: result['product_instance_id'] = self.product_instance_id if self.page_index is not None: result['page_index'] = self.page_index if self.page_size is not None: result['page_size'] = self.page_size if self.status is not None: result['status'] = self.status return result def from_map(self, m: dict = None): m = m or dict() if m.get('auth_token') is not None: self.auth_token = m.get('auth_token') if m.get('product_instance_id') is not None: self.product_instance_id = m.get('product_instance_id') if m.get('page_index') is not None: self.page_index = m.get('page_index') if m.get('page_size') is not None: self.page_size = m.get('page_size') if m.get('status') is not None: self.status = m.get('status') return self class QueryUserListResponse(TeaModel): def __init__( self, req_msg_id: str = None, result_code: str = None, result_msg: str = None, page_index: int = None, page_size: int = None, total_count: int = None, user_list: List[UserData] = None, ): # 请求唯一ID，用于链路跟踪和问题排查 self.req_msg_id = req_msg_id # 结果码，一般OK表示调用成功 self.result_code = result_code # 异常信息的文本描述 self.result_msg = result_msg # 页码，从1开始 self.page_index = page_index # 每页数据，1~100 self.page_size = page_size # 总数量 self.total_count = total_count # 用户信息列表 self.user_list = user_list def validate(self): if self.user_list: for k in self.user_list: if k: k.validate() def to_map(self): result = dict() if self.req_msg_id is not None: result['req_msg_id'] = self.req_msg_id if self.result_code is not None: result['result_code'] = self.result_code if self.result_msg is not None: result['result_msg'] = self.result_msg if self.page_index is not None: result['page_index'] = self.page_index if self.page_size is not None: result['page_size'] = self.page_size if self.total_count is not None: result['total_count'] = self.total_count result['user_list'] = [] if self.user_list is not None: for k in self.user_list: result['user_list'].append(k.to_map() if k else None) return result def from_map(self, m: dict = None): m = m or dict() if m.get('req_msg_id') is not None: self.req_msg_id = m.get('req_msg_id') if m.get('result_code') is not None: self.result_code = m.get('result_code') if m.get('result_msg') is not None: self.result_msg = m.get('result_msg') if m.get('page_index') is not None: self.page_index = m.get('page_index') if m.get('page_size') is not None: self.page_size = m.get('page_size') if m.get('total_count') is not None: self.total_count = m.get('total_count') self.user_list = [] if m.get('user_list') is not None: for k in m.get('user_list'): temp_model = UserData() self.user_list.append(temp_model.from_map(k)) return self class CreateScreenshotRequest(TeaModel): def __init__( self, auth_token: str = None, product_instance_id: str = None, name: str = None, memo: str = None, url: str = None, org_id: str = None, cert_name: str = None, cert_no: str = None, cert_type: str = None, legal_person_name: str = None, legal_person_no: str = None, agent_name: str = None, agent_no: str = None, phone_num: str = None, proxy_info: ProxyData = None, client_token: str = None, ): # OAuth模式下的授权token self.auth_token = auth_token self.product_instance_id = product_instance_id # 取证名称（最长128个字符） self.name = name # 取证备注（最长512个字符） self.memo = memo # 取证地址（最长2048个字符） self.url = url # 公证处Id self.org_id = org_id # 取证人证件名称 self.cert_name = cert_name # 取证人证件号码 self.cert_no = cert_no # 取证人证件类型 self.cert_type = cert_type # 法人代表姓名(如果certType为BUSINESS_LICENSE 则必传) self.legal_person_name = legal_person_name # 法人代表身份证号(如果certType为BUSINESS_LICENSE 则必传) self.legal_person_no = legal_person_no # 企业用户取证人姓名(如果certType为BUSINESS_LICENSE 则必传) self.agent_name = agent_name # 企业用户取证人身份证号(如果certType为BUSINESS_LICENSE 则必传) self.agent_no = agent_no # 取证人电话号码，生成公证处证书需要，公证处需要作登记格式范例：(86-573)2651630 或 (86)13738258505 self.phone_num = phone_num # 代理信息 self.proxy_info = proxy_info # 保证请求幂等性。从您的客户端生成一个参数值，确保不同请求间该参数值唯一。clientToken只支持ASCII字符，且不能超过64个字符 self.client_token = client_token def validate(self): self.validate_required(self.name, 'name') if self.name is not None: self.validate_max_length(self.name, 'name', 128) if self.memo is not None: self.validate_max_length(self.memo, 'memo', 512) self.validate_required(self.url, 'url') if self.url is not None: self.validate_max_length(self.url, 'url', 2048) self.validate_required(self.cert_name, 'cert_name') self.validate_required(self.cert_no, 'cert_no') self.validate_required(self.cert_type, 'cert_type') if self.proxy_info: self.proxy_info.validate() self.validate_required(self.client_token, 'client_token') if self.client_token is not None: self.validate_max_length(self.client_token, 'client_token', 64) def to_map(self): result = dict() if self.auth_token is not None: result['auth_token'] = self.auth_token if self.product_instance_id is not None: result['product_instance_id'] = self.product_instance_id if self.name is not None: result['name'] = self.name if self.memo is not None: result['memo'] = self.memo if self.url is not None: result['url'] = self.url if self.org_id is not None: result['org_id'] = self.org_id if self.cert_name is not None: result['cert_name'] = self.cert_name if self.cert_no is not None: result['cert_no'] = self.cert_no if self.cert_type is not None: result['cert_type'] = self.cert_type if self.legal_person_name is not None: result['legal_person_name'] = self.legal_person_name if self.legal_person_no is not None: result['legal_person_no'] = self.legal_person_no if self.agent_name is not None: result['agent_name'] = self.agent_name if self.agent_no is not None: result['agent_no'] = self.agent_no if self.phone_num is not None: result['phone_num'] = self.phone_num if self.proxy_info is not None: result['proxy_info'] = self.proxy_info.to_map() if self.client_token is not None: result['client_token'] = self.client_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('auth_token') is not None: self.auth_token = m.get('auth_token') if m.get('product_instance_id') is not None: self.product_instance_id = m.get('product_instance_id') if m.get('name') is not None: self.name = m.get('name') if m.get('memo') is not None: self.memo = m.get('memo') if m.get('url') is not None: self.url = m.get('url') if m.get('org_id') is not None: self.org_id = m.get('org_id') if m.get('cert_name') is not None: self.cert_name = m.get('cert_name') if m.get('cert_no') is not None: self.cert_no = m.get('cert_no') if m.get('cert_type') is not None: self.cert_type = m.get('cert_type') if m.get('legal_person_name') is not None: self.legal_person_name = m.get('legal_person_name') if m.get('legal_person_no') is not None: self.legal_person_no = m.get('legal_person_no') if m.get('agent_name') is not None: self.agent_name = m.get('agent_name') if m.get('agent_no') is not None: self.agent_no = m.get('agent_no') if m.get('phone_num') is not None: self.phone_num = m.get('phone_num') if m.get('proxy_info') is not None: temp_model = ProxyData() self.proxy_info = temp_model.from_map(m['proxy_info']) if m.get('client_token') is not None: self.client_token = m.get('client_token') return self class CreateScreenshotResponse(TeaModel): def __init__( self, req_msg_id: str = None, result_code: str = None, result_msg: str = None, evidence_id: str = None, ): # 请求唯一ID，用于链路跟踪和问题排查 self.req_msg_id = req_msg_id # 结果码，一般OK表示调用成功 self.result_code = result_code # 异常信息的文本描述 self.result_msg = result_msg # 取证id self.evidence_id = evidence_id def validate(self): pass def to_map(self): result = dict() if self.req_msg_id is not None: result['req_msg_id'] = self.req_msg_id if self.result_code is not None: result['result_code'] = self.result_code if self.result_msg is not None: result['result_msg'] = self.result_msg if self.evidence_id is not None: result['evidence_id'] = self.evidence_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('req_msg_id') is not None: self.req_msg_id = m.get('req_msg_id') if m.get('result_code') is not None: self.result_code = m.get('result_code') if m.get('result_msg') is not None: self.result_msg = m.get('result_msg') if m.get('evidence_id') is not None: self.evidence_id = m.get('evidence_id') return self class QueryScreenshotRequest(TeaModel): def __init__( self, auth_token: str = None, product_instance_id: str = None, evidence_id: str = None, ): # OAuth模式下的授权token self.auth_token = auth_token self.product_instance_id = product_instance_id # 取证id self.evidence_id = evidence_id def validate(self): self.validate_required(self.evidence_id, 'evidence_id') def to_map(self): result = dict() if self.auth_token is not None: result['auth_token'] = self.auth_token if self.product_instance_id is not None: result['product_instance_id'] = self.product_instance_id if self.evidence_id is not None: result['evidence_id'] = self.evidence_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('auth_token') is not None: self.auth_token = m.get('auth_token') if m.get('product_instance_id') is not None: self.product_instance_id = m.get('product_instance_id') if m.get('evidence_id') is not None: self.evidence_id = m.get('evidence_id') return self class QueryScreenshotResponse(TeaModel): def __init__( self, req_msg_id: str = None, result_code: str = None, result_msg: str = None, evidence_id: str = None, status: str = None, data: ScreenshotData = None, ): # 请求唯一ID，用于链路跟踪和问题排查 self.req_msg_id = req_msg_id # 结果码，一般OK表示调用成功 self.result_code = result_code # 异常信息的文本描述 self.result_msg = result_msg # 取证id self.evidence_id = evidence_id # 取证状态 self.status = status # 网页截图信息 self.data = data def validate(self): if self.data: self.data.validate() def to_map(self): result = dict() if self.req_msg_id is not None: result['req_msg_id'] = self.req_msg_id if self.result_code is not None: result['result_code'] = self.result_code if self.result_msg is not None: result['result_msg'] = self.result_msg if self.evidence_id is not None: result['evidence_id'] = self.evidence_id if self.status is not None: result['status'] = self.status if self.data is not None: result['data'] = self.data.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('req_msg_id') is not None: self.req_msg_id = m.get('req_msg_id') if m.get('result_code') is not None: self.result_code = m.get('result_code') if m.get('result_msg') is not None: self.result_msg = m.get('result_msg') if m.get('evidence_id') is not None: self.evidence_id = m.get('evidence_id') if m.get('status') is not None: self.status = m.get('status') if m.get('data') is not None: temp_model = ScreenshotData() self.data = temp_model.from_map(m['data']) return self class VerifyBlockchainRequest(TeaModel): def __init__( self, auth_token: str = None, product_instance_id: str = None, tx_hash: str = None, file_hash: str = None, file_id: str = None, user_data: VerifyUserData = None, statement_data: VerifyStatementData = None, evidence_data: VerifyEvidenceData = None, ): # OAuth模式下的授权token self.auth_token = auth_token self.product_instance_id = product_instance_id # 统一证据编号（存证交易HASH） self.tx_hash = tx_hash # 文件HASH，使用HEX的完整表示，如 6460c949f8a347eb... # # (和fileId 二选一，必传一个，都传按fileHash为准) self.file_hash = file_hash # 文件OSS Id（上传文件有大小限制，文本文件最大100M，图片最大1G，视频和压缩包最大2G） # # (和fileHash 二选一，必传一个，都传按fileHash为准) self.file_id = file_id # 核验用户信息 self.user_data = user_data # 核验权利声明信息 self.statement_data = statement_data # 核验取证信息 self.evidence_data = evidence_data def validate(self): self.validate_required(self.tx_hash, 'tx_hash') if self.user_data: self.user_data.validate() if self.statement_data: self.statement_data.validate() if self.evidence_data: self.evidence_data.validate() def to_map(self): result = dict() if self.auth_token is not None: result['auth_token'] = self.auth_token if self.product_instance_id is not None: result['product_instance_id'] = self.product_instance_id if self.tx_hash is not None: result['tx_hash'] = self.tx_hash if self.file_hash is not None: result['file_hash'] = self.file_hash if self.file_id is not None: result['file_id'] = self.file_id if self.user_data is not None: result['user_data'] = self.user_data.to_map() if self.statement_data is not None: result['statement_data'] = self.statement_data.to_map() if self.evidence_data is not None: result['evidence_data'] = self.evidence_data.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('auth_token') is not None: self.auth_token = m.get('auth_token') if m.get('product_instance_id') is not None: self.product_instance_id = m.get('product_instance_id') if m.get('tx_hash') is not None: self.tx_hash = m.get('tx_hash') if m.get('file_hash') is not None: self.file_hash = m.get('file_hash') if m.get('file_id') is not None: self.file_id = m.get('file_id') if m.get('user_data') is not None: temp_model = VerifyUserData() self.user_data = temp_model.from_map(m['user_data']) if m.get('statement_data') is not None: temp_model = VerifyStatementData() self.statement_data = temp_model.from_map(m['statement_data']) if m.get('evidence_data') is not None: temp_model = VerifyEvidenceData() self.evidence_data = temp_model.from_map(m['evidence_data']) return self class VerifyBlockchainResponse(TeaModel): def __init__( self, req_msg_id: str = None, result_code: str = None, result_msg: str = None, tx_hash: str = None, status: str = None, block_hash: str = None, block_height: int = None, data_type: str = None, timestamp: str = None, ): # 请求唯一ID，用于链路跟踪和问题排查 self.req_msg_id = req_msg_id # 结果码，一般OK表示调用成功 self.result_code = result_code # 异常信息的文本描述 self.result_msg = result_msg # 统一证据编号（存证交易HASH） self.tx_hash = tx_hash # 核验结果 self.status = status # 所在区块hash self.block_hash = block_hash # 区块链高度 self.block_height = block_height # 存证类型 self.data_type = data_type # 存证时间 self.timestamp = timestamp def validate(self): pass def to_map(self): result = dict() if self.req_msg_id is not None: result['req_msg_id'] = self.req_msg_id if self.result_code is not None: result['result_code'] = self.result_code if self.result_msg is not None: result['result_msg'] = self.result_msg if self.tx_hash is not None: result['tx_hash'] = self.tx_hash if self.status is not None: result['status'] = self.status if self.block_hash is not None: result['block_hash'] = self.block_hash if self.block_height is not None: result['block_height'] = self.block_height if self.data_type is not None: result['data_type'] = self.data_type if self.timestamp is not None: result['timestamp'] = self.timestamp return result def from_map(self, m: dict = None): m = m or dict() if m.get('req_msg_id') is not None: self.req_msg_id = m.get('req_msg_id') if m.get('result_code') is not None: self.result_code = m.get('result_code') if m.get('result_msg') is not None: self.result_msg = m.get('result_msg') if m.get('tx_hash') is not None: self.tx_hash = m.get('tx_hash') if m.get('status') is not None: self.status = m.get('status') if m.get('block_hash') is not None: self.block_hash = m.get('block_hash') if m.get('block_height') is not None: self.block_height = m.get('block_height') if m.get('data_type') is not None: self.data_type = m.get('data_type') if m.get('timestamp') is not None: self.timestamp = m.get('timestamp') return self class CreateRecordscreenRequest(TeaModel): def __init__( self, auth_token: str = None, product_instance_id: str = None, name: str = None, memo: str = None, url: List[str] = None, type: str = None, area: str = None, screen_code: str = None, max_time_in_min: int = None, wait_in_min: int = None, cross_region: str = None, ip_type: str = None, callback_url: str = None, org_id: str = None, cert_name: str = None, cert_no: str = None, cert_type: str = None, legal_person_name: str = None, legal_person_no: str = None, agent_name: str = None, agent_no: str = None, phone_num: str = None, proxy_info: ProxyData = None, client_token: str = None, ): # OAuth模式下的授权token self.auth_token = auth_token self.product_instance_id = product_instance_id # 取证名称（最长128个字符） self.name = name # 取证备注（最长512个字符） self.memo = memo # 预校验网址和预打开网页（不能大于10条），如果automatic为true 则必填 self.url = url # 取证类型具体见附录 RecordScreenType self.type = type # 取证服务器地域具体见附录 RecordScreenArea self.area = area # 定制录屏桌面识别码，目前取值只有默认值：DEFAULT self.screen_code = screen_code # 最大录屏时间，maxTimeInMin不能小于6min，不能大于300min self.max_time_in_min = max_time_in_min # 服务器进入ready状态，指定时间未开始进入abort状态的等待时间，单位为分钟，默认1min，waitInMin不能小于1，不能大于10min self.wait_in_min = wait_in_min # 当所选地域无机器资源时，是否使用其它地域目前取值只有默认值：FORBID self.cross_region = cross_region # ip地域取值目前取值只有默认值：ANY self.ip_type = ip_type # 回调地址 self.callback_url = callback_url # 公证处Id self.org_id = org_id # 取证人证件名称 self.cert_name = cert_name # 取证人证件号码 self.cert_no = cert_no # 取证人证件类型具体见附录CertType self.cert_type = cert_type # 企业法人代表姓名(如果certType为BUSINESS_LICENSE 则必传) self.legal_person_name = legal_person_name # 企业法人代表身份证号(如果certType为BUSINESS_LICENSE 则必传) self.legal_person_no = legal_person_no # 企业用户取证人姓名(如果certType为BUSINESS_LICENSE 则必传) self.agent_name = agent_name # 企业用户取证人身份证号(如果certType为BUSINESS_LICENSE 则必传) self.agent_no = agent_no # 取证人电话号码，生成公证处证书需要，公证处需要作登记格式范例：(86-573)2651630 或 (86)13738258505 self.phone_num = phone_num # 代理信息 self.proxy_info = proxy_info # 保证请求幂等性。从您的客户端生成一个参数值，确保不同请求间该参数值唯一。clientToken只支持ASCII字符，且不能超过64个字符。更多详情，请参见如何保证幂等性。 self.client_token = client_token def validate(self): self.validate_required(self.name, 'name') if self.name is not None: self.validate_max_length(self.name, 'name', 128) if self.memo is not None: self.validate_max_length(self.memo, 'memo', 512) self.validate_required(self.type, 'type') self.validate_required(self.area, 'area') self.validate_required(self.max_time_in_min, 'max_time_in_min') self.validate_required(self.cert_name, 'cert_name') self.validate_required(self.cert_no, 'cert_no') self.validate_required(self.cert_type, 'cert_type') if self.proxy_info: self.proxy_info.validate() self.validate_required(self.client_token, 'client_token') def to_map(self): result = dict() if self.auth_token is not None: result['auth_token'] = self.auth_token if self.product_instance_id is not None: result['product_instance_id'] = self.product_instance_id if self.name is not None: result['name'] = self.name if self.memo is not None: result['memo'] = self.memo if self.url is not None: result['url'] = self.url if self.type is not None: result['type'] = self.type if self.area is not None: result['area'] = self.area if self.screen_code is not None: result['screen_code'] = self.screen_code if self.max_time_in_min is not None: result['max_time_in_min'] = self.max_time_in_min if self.wait_in_min is not None: result['wait_in_min'] = self.wait_in_min if self.cross_region is not None: result['cross_region'] = self.cross_region if self.ip_type is not None: result['ip_type'] = self.ip_type if self.callback_url is not None: result['callback_url'] = self.callback_url if self.org_id is not None: result['org_id'] = self.org_id if self.cert_name is not None: result['cert_name'] = self.cert_name if self.cert_no is not None: result['cert_no'] = self.cert_no if self.cert_type is not None: result['cert_type'] = self.cert_type if self.legal_person_name is not None: result['legal_person_name'] = self.legal_person_name if self.legal_person_no is not None: result['legal_person_no'] = self.legal_person_no if self.agent_name is not None: result['agent_name'] = self.agent_name if self.agent_no is not None: result['agent_no'] = self.agent_no if self.phone_num is not None: result['phone_num'] = self.phone_num if self.proxy_info is not None: result['proxy_info'] = self.proxy_info.to_map() if self.client_token is not None: result['client_token'] = self.client_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('auth_token') is not None: self.auth_token = m.get('auth_token') if m.get('product_instance_id') is not None: self.product_instance_id = m.get('product_instance_id') if m.get('name') is not None: self.name = m.get('name') if m.get('memo') is not None: self.memo = m.get('memo') if m.get('url') is not None: self.url = m.get('url') if m.get('type') is not None: self.type = m.get('type') if m.get('area') is not None: self.area = m.get('area') if m.get('screen_code') is not None: self.screen_code = m.get('screen_code') if m.get('max_time_in_min') is not None: self.max_time_in_min = m.get('max_time_in_min') if m.get('wait_in_min') is not None: self.wait_in_min = m.get('wait_in_min') if m.get('cross_region') is not None: self.cross_region = m.get('cross_region') if m.get('ip_type') is not None: self.ip_type = m.get('ip_type') if m.get('callback_url') is not None: self.callback_url = m.get('callback_url') if m.get('org_id') is not None: self.org_id = m.get('org_id') if m.get('cert_name') is not None: self.cert_name = m.get('cert_name') if m.get('cert_no') is not None: self.cert_no = m.get('cert_no') if m.get('cert_type') is not None: self.cert_type = m.get('cert_type') if m.get('legal_person_name') is not None: self.legal_person_name = m.get('legal_person_name') if m.get('legal_person_no') is not None: self.legal_person_no = m.get('legal_person_no') if m.get('agent_name') is not None: self.agent_name = m.get('agent_name') if m.get('agent_no') is not None: self.agent_no = m.get('agent_no') if m.get('phone_num') is not None: self.phone_num = m.get('phone_num') if m.get('proxy_info') is not None: temp_model = ProxyData() self.proxy_info = temp_model.from_map(m['proxy_info']) if m.get('client_token') is not None: self.client_token = m.get('client_token') return self class CreateRecordscreenResponse(TeaModel): def __init__( self, req_msg_id: str = None, result_code: str = None, result_msg: str = None, evidence_id: str = None, ): # 请求唯一ID，用于链路跟踪和问题排查 self.req_msg_id = req_msg_id # 结果码，一般OK表示调用成功 self.result_code = result_code # 异常信息的文本描述 self.result_msg = result_msg # 取证id self.evidence_id = evidence_id def validate(self): pass def to_map(self): result = dict() if self.req_msg_id is not None: result['req_msg_id'] = self.req_msg_id if self.result_code is not None: result['result_code'] = self.result_code if self.result_msg is not None: result['result_msg'] = self.result_msg if self.evidence_id is not None: result['evidence_id'] = self.evidence_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('req_msg_id') is not None: self.req_msg_id = m.get('req_msg_id') if m.get('result_code') is not None: self.result_code = m.get('result_code') if m.get('result_msg') is not None: self.result_msg = m.get('result_msg') if m.get('evidence_id') is not None: self.evidence_id = m.get('evidence_id') return self class QueryRecordscreenRequest(TeaModel): def __init__( self, auth_token: str = None, product_instance_id: str = None, evidence_id: str = None, ): # OAuth模式下的授权token self.auth_token = auth_token self.product_instance_id = product_instance_id # 取证id self.evidence_id = evidence_id def validate(self): self.validate_required(self.evidence_id, 'evidence_id') def to_map(self): result = dict() if self.auth_token is not None: result['auth_token'] = self.auth_token if self.product_instance_id is not None: result['product_instance_id'] = self.product_instance_id if self.evidence_id is not None: result['evidence_id'] = self.evidence_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('auth_token') is not None: self.auth_token = m.get('auth_token') if m.get('product_instance_id') is not None: self.product_instance_id = m.get('product_instance_id') if m.get('evidence_id') is not None: self.evidence_id = m.get('evidence_id') return self class QueryRecordscreenResponse(TeaModel): def __init__( self, req_msg_id: str = None, result_code: str = None, result_msg: str = None, evidence_id: str = None, status: str = None, operate_url: str = None, data: RecordScreenData = None, ): # 请求唯一ID，用于链路跟踪和问题排查 self.req_msg_id = req_msg_id # 结果码，一般OK表示调用成功 self.result_code = result_code # 异常信息的文本描述 self.result_msg = result_msg # 取证id self.evidence_id = evidence_id # 取证状态具体见附录 RecordScreenStatus self.status = status # 取证操作Url （状态为INIT和DOING 时返回可以重复打开使用） self.operate_url = operate_url # 取证详情（状态为PACKAGING,SUCCESS,FAIL才有数据） self.data = data def validate(self): if self.data: self.data.validate() def to_map(self): result = dict() if self.req_msg_id is not None: result['req_msg_id'] = self.req_msg_id if self.result_code is not None: result['result_code'] = self.result_code if self.result_msg is not None: result['result_msg'] = self.result_msg if self.evidence_id is not None: result['evidence_id'] = self.evidence_id if self.status is not None: result['status'] = self.status if self.operate_url is not None: result['operate_url'] = self.operate_url if self.data is not None: result['data'] = self.data.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('req_msg_id') is not None: self.req_msg_id = m.get('req_msg_id') if m.get('result_code') is not None: self.result_code = m.get('result_code') if m.get('result_msg') is not None: self.result_msg = m.get('result_msg') if m.get('evidence_id') is not None: self.evidence_id = m.get('evidence_id') if m.get('status') is not None: self.status = m.get('status') if m.get('operate_url') is not None: self.operate_url = m.get('operate_url') if m.get('data') is not None: temp_model = RecordScreenData() self.data = temp_model.from_map(m['data']) return self class ListNotaryRequest(TeaModel): def __init__( self, auth_token: str = None, product_instance_id: str = None, ): # OAuth模式下的授权token self.auth_token = auth_token self.product_instance_id = product_instance_id def validate(self): pass def to_map(self): result = dict() if self.auth_token is not None: result['auth_token'] = self.auth_token if self.product_instance_id is not None: result['product_instance_id'] = self.product_instance_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('auth_token') is not None: self.auth_token = m.get('auth_token') if m.get('product_instance_id') is not None: self.product_instance_id = m.get('product_instance_id') return self class ListNotaryResponse(TeaModel): def __init__( self, req_msg_id: str = None, result_code: str = None, result_msg: str = None, notary_list: List[NotaryPublicOffice] = None, ): # 请求唯一ID，用于链路跟踪和问题排查 self.req_msg_id = req_msg_id # 结果码，一般OK表示调用成功 self.result_code = result_code # 异常信息的文本描述 self.result_msg = result_msg # 公证处列表 self.notary_list = notary_list def validate(self): if self.notary_list: for k in self.notary_list: if k: k.validate() def to_map(self): result = dict() if self.req_msg_id is not None: result['req_msg_id'] = self.req_msg_id if self.result_code is not None: result['result_code'] = self.result_code if self.result_msg is not None: result['result_msg'] = self.result_msg result['notary_list'] = [] if self.notary_list is not None: for k in self.notary_list: result['notary_list'].append(k.to_map() if k else None) return result def from_map(self, m: dict = None): m = m or dict() if m.get('req_msg_id') is not None: self.req_msg_id = m.get('req_msg_id') if m.get('result_code') is not None: self.result_code = m.get('result_code') if m.get('result_msg') is not None: self.result_msg = m.get('result_msg') self.notary_list = [] if m.get('notary_list') is not None: for k in m.get('notary_list'): temp_model = NotaryPublicOffice() self.notary_list.append(temp_model.from_map(k)) return self

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26ed43cf5a804d638bf38a6e307d345cfc70759c

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py

Python

AnimeList/migrations/0002_auto_20200610_1429.py

habelash/AnimeView

893620c318b25a549479c781f002e6eed326705c

[ "CC0-1.0" ]

null

AnimeList/migrations/0002_auto_20200610_1429.py

habelash/AnimeView

893620c318b25a549479c781f002e6eed326705c

[ "CC0-1.0" ]

7

2021-03-30T14:17:35.000Z

2022-01-13T02:55:42.000Z

AnimeList/migrations/0002_auto_20200610_1429.py

habelash/AnimeView

893620c318b25a549479c781f002e6eed326705c

[ "CC0-1.0" ]

null

# Generated by Django 3.0.6 on 2020-06-10 08:59 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('AnimeList', '0001_initial'), ] operations = [ migrations.CreateModel( name='afrosamurai', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('Episode', models.PositiveIntegerField()), ('EpisodeLink', models.URLField()), ('Discription', models.TextField()), ('image', models.ImageField(upload_to='media')), ], options={ 'verbose_name_plural': 'Afro Samurai', }, ), migrations.CreateModel( name='animelist', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=50)), ('Discription', models.TextField()), ('image', models.ImageField(upload_to='media')), ], options={ 'verbose_name_plural': 'Anime List', }, ), migrations.CreateModel( name='aot', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('Episode', models.PositiveIntegerField()), ('EpisodeLink', models.URLField()), ('Discription', models.TextField()), ('image', models.ImageField(upload_to='media')), ], options={ 'verbose_name_plural': 'Attack On Titans', }, ), migrations.CreateModel( name='bleach', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('Episode', models.PositiveIntegerField()), ('EpisodeLink', models.URLField()), ('Discription', models.TextField()), ('image', models.ImageField(upload_to='media')), ], options={ 'verbose_name_plural': 'Bleach', }, ), migrations.CreateModel( name='bnha', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('Episode', models.PositiveIntegerField()), ('EpisodeLink', models.URLField()), ('Discription', models.TextField()), ('image', models.ImageField(upload_to='media')), ], options={ 'verbose_name_plural': 'My Hero Accadamy', }, ), migrations.CreateModel( name='deathnote', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('Episode', models.PositiveIntegerField()), ('EpisodeLink', models.URLField()), ('Discription', models.TextField()), ('image', models.ImageField(upload_to='media')), ], options={ 'verbose_name_plural': 'Death Note', }, ), migrations.CreateModel( name='fairytail', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('Episode', models.PositiveIntegerField()), ('EpisodeLink', models.URLField()), ('Discription', models.TextField()), ('image', models.ImageField(upload_to='media')), ], options={ 'verbose_name_plural': 'Fairy Tail', }, ), migrations.CreateModel( name='fmab', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('Episode', models.PositiveIntegerField()), ('EpisodeLink', models.URLField()), ('Discription', models.TextField()), ('image', models.ImageField(upload_to='media')), ], options={ 'verbose_name_plural': 'Full Metal Alchemist Brotherhood', }, ), migrations.CreateModel( name='haikyu', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('Episode', models.PositiveIntegerField()), ('EpisodeLink', models.URLField()), ('Discription', models.TextField()), ('image', models.ImageField(upload_to='media')), ], options={ 'verbose_name_plural': 'Haikyu', }, ), migrations.CreateModel( name='hxh', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('Episode', models.PositiveIntegerField()), ('EpisodeLink', models.URLField()), ('Discription', models.TextField()), ('image', models.ImageField(upload_to='media')), ], options={ 'verbose_name_plural': 'Hunter X Hunter', }, ), migrations.CreateModel( name='kny', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('Episode', models.PositiveIntegerField()), ('EpisodeLink', models.URLField()), ('Discription', models.TextField()), ('image', models.ImageField(upload_to='media')), ], options={ 'verbose_name_plural': 'Demon Slayer', }, ), migrations.CreateModel( name='naruto', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('Episode', models.PositiveIntegerField()), ('EpisodeLink', models.URLField()), ('Discription', models.TextField()), ('image', models.ImageField(upload_to='media')), ], options={ 'verbose_name_plural': 'Naruto', }, ), migrations.CreateModel( name='onepunchman', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('Episode', models.PositiveIntegerField()), ('EpisodeLink', models.URLField()), ('Discription', models.TextField()), ('image', models.ImageField(upload_to='media')), ], options={ 'verbose_name_plural': 'One Punch Man', }, ), migrations.AlterModelOptions( name='onepiece', options={'verbose_name_plural': 'One Piece'}, ), ]

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f85f064963a44d0ccb1270bc00e6b3900073034f

16,452

py

Python

engine/tests/test_form_service.py

ainterr/scoring_engine

d986eef08dcb819add20ed87d91239f887f62daa

[ "MIT" ]

null

engine/tests/test_form_service.py

ainterr/scoring_engine

d986eef08dcb819add20ed87d91239f887f62daa

[ "MIT" ]

7

2016-02-24T21:01:22.000Z

2017-01-04T03:22:44.000Z

engine/tests/test_form_service.py

ainterr/scoring_engine

d986eef08dcb819add20ed87d91239f887f62daa

[ "MIT" ]

2

2016-03-04T17:04:48.000Z

2020-01-30T21:03:49.000Z

from django.test import TransactionTestCase from django.core.exceptions import ValidationError from django.core.management import call_command from .. import models, forms class ServiceTests(TransactionTestCase): form_class = forms.ModelFormFactory(models.Service) def setUp(self): call_command('registerplugins') self.http = models.Plugin.objects.get(name='http') self.smb = models.Plugin.objects.get(name='smb') def test_malformed_service_form(self): """Should not be able to submit service forms with malformed data""" # Too little data data = {} form = self.form_class(data) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['name'], ['This field is required.']) data = {'name':'Service1'} form = self.form_class(data) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['subnet_host'], ['This field is required.']) data = {'subnet_host':2} form = self.form_class(data) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['name'], ['This field is required.']) data = {'port':80} form = self.form_class(data) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['name'], ['This field is required.']) data = {'plugin':self.http.pk} form = self.form_class(data) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['name'], ['This field is required.']) data = {'name':'Service1', 'subnet_host':1} form = self.form_class(data) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['port'], ['This field is required.']) data = {'name':'Service1', 'port':90} form = self.form_class(data) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['subnet_host'], ['This field is required.']) data = {'name':'Service1', 'plugin':self.http.pk} form = self.form_class(data) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['subnet_host'], ['This field is required.']) data = {'subnet_host':2, 'port':93} form = self.form_class(data) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['name'], ['This field is required.']) data = {'subnet_host':2, 'plugin':self.smb.pk} form = self.form_class(data) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['name'], ['This field is required.']) data = {'port':2, 'plugin':self.smb.pk} form = self.form_class(data) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['name'], ['This field is required.']) data = {'name':'Service1', 'subnet_host':2, 'port':44} form = self.form_class(data) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['plugin'], ['This field is required.']) data = {'name':'Service1', 'subnet_host':2, 'plugin':self.smb.pk} form = self.form_class(data) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['port'], ['This field is required.']) data = {'name':'Service1', 'port':32, 'plugin':self.smb.pk} form = self.form_class(data) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['subnet_host'], ['This field is required.']) data = {'subnet_host':38, 'port':32, 'plugin':self.smb.pk} form = self.form_class(data) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['name'], ['This field is required.']) # Malformed arguments ## Name data = {'name':None, 'subnet_host':1, 'port':93, 'plugin':self.http.pk} form = self.form_class(data) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['name'], ['This field is required.']) data = {'name':'', 'subnet_host':1, 'port':93, 'plugin':self.http.pk} form = self.form_class(data) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['name'], ['This field is required.']) data = {'name':'a'*21, 'subnet_host':1, 'port':93, 'plugin':self.http.pk} form = self.form_class(data) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['name'], ['Ensure this value has at most 20 characters (it has 21).']) ## Subnet_host data = {'name':'Service', 'subnet_host':None, 'port':93, 'plugin':self.http.pk} form = self.form_class(data) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['subnet_host'], ['This field is required.']) data = {'name':'Service', 'subnet_host':'hi', 'port':93, 'plugin':self.http.pk} form = self.form_class(data) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['subnet_host'], ['Enter a whole number.']) data = {'name':'Service', 'subnet_host':-1, 'port':93, 'plugin':self.http.pk} form = self.form_class(data) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['subnet_host'], ['Ensure this value is greater than or equal to 0.']) # Port data = {'name':'Service', 'subnet_host':1, 'port':None, 'plugin':self.http.pk} form = self.form_class(data) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['port'], ['This field is required.']) data = {'name':'Service', 'subnet_host':1, 'port':'oh', 'plugin':self.http.pk} form = self.form_class(data) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['port'], ['Enter a whole number.']) data = {'name':'Service', 'subnet_host':1, 'port':-1, 'plugin':self.http.pk} form = self.form_class(data) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['port'], ['Ensure this value is greater than or equal to 0.']) data = {'name':'Service', 'subnet_host':1, 'port':0, 'plugin':self.http.pk} form = self.form_class(data) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['__all__'], ['Service port not in valid range 1-65535.']) data = {'name':'Service', 'subnet_host':1, 'port':65536, 'plugin':self.http.pk} form = self.form_class(data) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['__all__'], ['Service port not in valid range 1-65535.']) # Plugin data = {'name':'Service', 'subnet_host':1, 'port':15, 'plugin':None} form = self.form_class(data) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['plugin'], ['This field is required.']) data = {'name':'Service', 'subnet_host':1, 'port':15, 'plugin':'http'} form = self.form_class(data) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['plugin'], ['Select a valid choice. That choice is not one of the available choices.']) def test_service_same_names_form(self): """Service form submissions with the same name are not allowed""" models.Service.objects.create( name='Service1', subnet_host=1, port=30, plugin=self.http) data = {'name':'Service1', 'subnet_host':2, 'port':38, 'plugin':self.http.pk} form = self.form_class(data) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['name'], ['Service with this Name already exists.']) def test_service_same_host_port_form(self): """Service form submissions with the same host/port combo are not allowed""" models.Service.objects.create( name='Service1', subnet_host=1, port=30, plugin=self.http) data = {'name':'Service2', 'subnet_host':1, 'port':30, 'plugin':self.smb.pk} form = self.form_class(data) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['__all__'], ['Service already exists on host 1 port 30.']) def test_service_correct_form(self): """Correctly subitted service forms should be allowed""" self.assertEqual(models.Service.objects.count(), 0) data = {'name':'Service1', 'subnet_host':1, 'port':80, 'plugin':self.http.pk} form = self.form_class(data) self.assertTrue(form.is_valid()) form.save() self.assertEqual(models.Service.objects.count(), 1) data = {'name':'Service2', 'subnet_host':4, 'port':38, 'plugin':self.smb.pk} form = self.form_class(data) self.assertTrue(form.is_valid()) form.save() self.assertEqual(models.Service.objects.count(), 2) data = {'name':'Service3', 'subnet_host':1, 'port':38, 'plugin':self.http.pk} # Same host different port form = self.form_class(data) self.assertTrue(form.is_valid()) form.save() self.assertEqual(models.Service.objects.count(), 3) data = {'name':'Service4', 'subnet_host':2, 'port':80, 'plugin':self.http.pk} # Different host same port form = self.form_class(data) self.assertTrue(form.is_valid()) form.save() self.assertEqual(models.Service.objects.count(), 4) def test_service_malformed_edit_form(self): """Service forms should raise an error when edited with malformed data""" s = models.Service.objects.create( name='Service', subnet_host=1, port=93, plugin=self.http) data = {'name':'Service', 'subnet_host':1, 'port':93, 'plugin':self.http.pk} # Malformed arguments ## Name data['name'] = None form = self.form_class(data, instance=s) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['name'], ['This field is required.']) data['name'] = '' form = self.form_class(data, instance=s) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['name'], ['This field is required.']) data['name'] = 'a'*21 form = self.form_class(data, instance=s) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['name'], ['Ensure this value has at most 20 characters (it has 21).']) ## Subnet_host data['name'] = 'Service' data['subnet_host'] = None form = self.form_class(data, instance=s) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['subnet_host'], ['This field is required.']) data['subnet_host'] = 'hi' form = self.form_class(data, instance=s) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['subnet_host'], ['Enter a whole number.']) data['subnet_host'] = -1 form = self.form_class(data, instance=s) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['subnet_host'], ['Ensure this value is greater than or equal to 0.']) # Port data['subnet_host'] = 1 data['port'] = None form = self.form_class(data, instance=s) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['port'], ['This field is required.']) data['port'] = 'oh' form = self.form_class(data, instance=s) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['port'], ['Enter a whole number.']) data['port'] = -1 form = self.form_class(data, instance=s) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['port'], ['Ensure this value is greater than or equal to 0.']) data['port'] = 0 form = self.form_class(data, instance=s) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['__all__'], ['Service port not in valid range 1-65535.']) data['port'] = 65536 form = self.form_class(data, instance=s) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['__all__'], ['Service port not in valid range 1-65535.']) # Plugin data['port'] = 93 data['plugin'] = None form = self.form_class(data, instance=s) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['plugin'], ['This field is required.']) data['plugin'] = 'http' form = self.form_class(data, instance=s) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['plugin'], ['Select a valid choice. That choice is not one of the available choices.']) def test_service_edit_form(self): """Service fields should be updated when properly edited through a form""" s = models.Service.objects.create( name='Service', subnet_host=1, port=93, plugin=self.http) data = {'name':'kdkdkdkd', 'subnet_host':1, 'port':93, 'plugin':self.http.pk} data['name']= 'kdkdkdkd' form = self.form_class(data, instance=s) self.assertTrue(form.is_valid()) form.save() s = models.Service.objects.get(pk=s.pk) self.assertEqual(s.name, 'kdkdkdkd') data['subnet_host'] = 5 form = self.form_class(data, instance=s) self.assertTrue(form.is_valid()) form.save() s = models.Service.objects.get(pk=s.pk) self.assertEqual(s.subnet_host, 5) data['port'] = 5 form = self.form_class(data, instance=s) self.assertTrue(form.is_valid()) form.save() s = models.Service.objects.get(pk=s.pk) self.assertEqual(s.port, 5) data['plugin'] = self.smb.pk form = self.form_class(data, instance=s) self.assertTrue(form.is_valid()) form.save() s = models.Service.objects.get(pk=s.pk) self.assertEqual(s.plugin, self.smb) def test_service_edit_same_names_form(self): """Services with the same name are not allowed when editing through forms""" models.Service.objects.create( name='Service1', subnet_host=1, port=30, plugin=self.http) s = models.Service.objects.create( name='Service2', subnet_host=2, port=38, plugin=self.http) data = {'name':'Service2', 'subnet_host':2, 'port':38, 'plugin':self.http.pk} data['name'] = 'Service1' form = self.form_class(data, instance=s) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['name'], ['Service with this Name already exists.']) def test_service_edit_same_host_port_form(self): """Services with the same host/port combo are not allowed when editing through forms""" models.Service.objects.create( name='Service1', subnet_host=1, port=30, plugin=self.http) s = models.Service.objects.create( name='Service2', subnet_host=2, port=30, plugin=self.smb) data = {'name':'Service2', 'subnet_host':2, 'port':30, 'plugin':self.smb.pk} data['subnet_host'] = 1 form = self.form_class(data, instance=s) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['__all__'], ['Service already exists on host 1 port 30.']) s = models.Service.objects.create( name='Service3', subnet_host=1, port=50, plugin=self.smb) data = {'name':'Service3', 'subnet_host':1, 'port':50, 'plugin':self.smb.pk} data['port'] = 30 form = self.form_class(data, instance=s) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['__all__'], ['Service already exists on host 1 port 30.'])

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null

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1

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null

0

7

f8bdc69b51e83336909893405e8711f3978dd1cc

152

py

Python

Dataset/Leetcode/train/70/43.py

kkcookies99/UAST

fff81885aa07901786141a71e5600a08d7cb4868

[ "MIT" ]

null

Dataset/Leetcode/train/70/43.py

kkcookies99/UAST

fff81885aa07901786141a71e5600a08d7cb4868

[ "MIT" ]

null

Dataset/Leetcode/train/70/43.py

kkcookies99/UAST

fff81885aa07901786141a71e5600a08d7cb4868

[ "MIT" ]

null

class Solution: def XXX(self, x: int) -> int: return 3267960841*(pow(328501784,x+1,7841400319)-pow(7512898536,x+1,7841400319))%7841400319

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7

3e04023ad53632604928a2a7b4d158dc105d9bf8

5,200

py

Python

voter/tests/test_models.py

NCVotes/voters-ingestor

af7bc9db151cc65eae85412f7c1d36d4d301b158

[ "MIT" ]

10

2018-02-15T16:40:03.000Z

2020-06-13T19:50:16.000Z

voter/tests/test_models.py

NCVotes/voters-ingestor

af7bc9db151cc65eae85412f7c1d36d4d301b158

[ "MIT" ]

17

2017-09-11T19:57:58.000Z

2018-06-19T13:31:09.000Z

voter/tests/test_models.py

NCVotes/voters-ingestor

af7bc9db151cc65eae85412f7c1d36d4d301b158

[ "MIT" ]

1

2017-11-02T23:42:16.000Z

from unittest.mock import patch from django.test import TestCase from voter.models import FileTracker, BadLineTracker, BadLineRange, NCVoter, NCVoterQueryView from voter.tests import factories class FileTrackerTest(TestCase): def test_short_filename_for_path_is_correct(self): f = FileTracker(filename='/foo/bar.txt') self.assertEqual(f.short_filename, 'bar.txt') def test_short_filename_if_no_parent(self): f = FileTracker(filename='bar.txt') self.assertEqual(f.short_filename, 'bar.txt') class BadLineTrackerTest(TestCase): def setUp(self): self.blr = BadLineTracker('filename') def test_just_one_error(self): self.blr.error(27, 'bad line', 'the line was bad') self.blr.flush() self.assertEqual(1, BadLineRange.objects.count()) r = BadLineRange.objects.first() self.assertEqual(27, r.first_line_no) self.assertEqual(27, r.last_line_no) self.assertEqual('bad line', r.example_line) self.assertEqual('the line was bad', r.message) self.assertEqual('filename', r.filename) self.assertFalse(r.is_warning) def test_adjacent_errors(self): self.blr.error(27, 'bad line', 'the line was bad') self.blr.error(28, 'worse line', 'the line was bad') self.blr.flush() self.assertEqual(1, BadLineRange.objects.count()) r = BadLineRange.objects.first() self.assertEqual(27, r.first_line_no) self.assertEqual(28, r.last_line_no) self.assertEqual('bad line', r.example_line) self.assertEqual('the line was bad', r.message) self.assertEqual('filename', r.filename) self.assertFalse(r.is_warning) def test_gap_in_errors(self): self.blr.error(27, 'bad line', 'the line was bad') self.blr.error(29, 'worse line', 'the line was bad') self.blr.flush() self.assertEqual(2, BadLineRange.objects.count()) r = BadLineRange.objects.order_by('first_line_no').first() self.assertEqual(27, r.first_line_no) self.assertEqual(27, r.last_line_no) self.assertEqual('bad line', r.example_line) self.assertEqual('the line was bad', r.message) self.assertEqual('filename', r.filename) self.assertFalse(r.is_warning) r = BadLineRange.objects.order_by('-first_line_no').first() self.assertEqual(29, r.first_line_no) self.assertEqual(29, r.last_line_no) self.assertEqual('worse line', r.example_line) self.assertEqual('the line was bad', r.message) self.assertEqual('filename', r.filename) self.assertFalse(r.is_warning) def test_different_messages(self): self.blr.error(27, 'bad line', 'the line was bad') self.blr.error(28, 'worse line', 'the line was worse') self.blr.flush() self.assertEqual(2, BadLineRange.objects.count()) r = BadLineRange.objects.order_by('first_line_no').first() self.assertEqual(27, r.first_line_no) self.assertEqual(27, r.last_line_no) self.assertEqual('bad line', r.example_line) self.assertEqual('the line was bad', r.message) self.assertEqual('filename', r.filename) self.assertFalse(r.is_warning) r = BadLineRange.objects.order_by('-first_line_no').first() self.assertEqual(28, r.first_line_no) self.assertEqual(28, r.last_line_no) self.assertEqual('worse line', r.example_line) self.assertEqual('the line was worse', r.message) self.assertEqual('filename', r.filename) self.assertFalse(r.is_warning) def test_warning_error(self): self.blr.warning(27, 'bad line', 'the line was bad') self.blr.error(28, 'worse line', 'the line was bad') self.blr.flush() self.assertEqual(2, BadLineRange.objects.count()) r = BadLineRange.objects.order_by('first_line_no').first() self.assertEqual(27, r.first_line_no) self.assertEqual(27, r.last_line_no) self.assertEqual('bad line', r.example_line) self.assertEqual('the line was bad', r.message) self.assertEqual('filename', r.filename) self.assertTrue(r.is_warning) r = BadLineRange.objects.order_by('-first_line_no').first() self.assertEqual(28, r.first_line_no) self.assertEqual(28, r.last_line_no) self.assertEqual('worse line', r.example_line) self.assertEqual('the line was bad', r.message) self.assertEqual('filename', r.filename) self.assertFalse(r.is_warning) class NCVoterTest(TestCase): def test_get_count_uses_materialized_view(self): factories.NCVoter() # materialized query view is not refreshed, so will get zero records self.assertEqual(NCVoter.get_count({}), 0) NCVoterQueryView.refresh() self.assertEqual(NCVoter.get_count({}), 1) def test_get_count_is_cached_in_db(self): factories.NCVoterQueryCache(qs_filters={}, count=23) with patch('voter.models.NCVoterQueryView.objects.filter') as mock_queryview: self.assertEqual(NCVoter.get_count({}), 23) mock_queryview.assert_not_called()

41.935484

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1

0

1

0

null

0

1

0

7

3e1f0da69364a25bac03e1db4d8e2a8fa7dc7496

199

py

Python

src/infi/instruct/macros.py

jasonjorge/infi.asi

78a4c34a421102f99b959a659cf7303804627d9b

[ "BSD-3-Clause" ]

2

2015-01-12T21:16:06.000Z

2019-12-12T05:59:56.000Z

src/infi/instruct/macros.py

jasonjorge/infi.asi

78a4c34a421102f99b959a659cf7303804627d9b

[ "BSD-3-Clause" ]

4

2015-02-24T09:18:00.000Z

2021-06-16T12:55:19.000Z

src/infi/instruct/macros.py

jasonjorge/infi.asi

78a4c34a421102f99b959a659cf7303804627d9b

[ "BSD-3-Clause" ]

4

2015-01-07T12:37:54.000Z

2018-02-08T15:07:17.000Z

# flake8: noqa import functools from .base import * from .numeric_macros import * from .string_macros import * from .mapping_macros import * from .array_macros import * from .struct_macros import *

19.9

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null

0

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0

1

0

1

0

7

3e581e081d76ee14f7e27d39df5f97d39360e7a4

83

py

Python

apps/oob/forms/__init__.py

dbjennings/order-of-business

8f424bd36b323e4c102b3d8704bb576c150d585a

[ "MIT" ]

null

apps/oob/forms/__init__.py

dbjennings/order-of-business

8f424bd36b323e4c102b3d8704bb576c150d585a

[ "MIT" ]

null

apps/oob/forms/__init__.py

dbjennings/order-of-business

8f424bd36b323e4c102b3d8704bb576c150d585a

[ "MIT" ]

null

from apps.oob.forms.task_forms import * from apps.oob.forms.project_forms import *

27.666667

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0.246154

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true

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null

0

1

0

1

0

1

0

8

3e5f713cd9053c7d0f69c12cffe0497b46614552

5,033

py

Python

metrics/write_excel_new.py

IceClear/MW-GAN

acb962468c984681c4a21f7b5c14588ca8f58c00

[ "MIT" ]

36

2020-08-12T05:17:42.000Z

2022-03-22T03:02:21.000Z

metrics/write_excel_new.py

IceClear/MW-GAN

acb962468c984681c4a21f7b5c14588ca8f58c00

[ "MIT" ]

15

2021-01-19T08:24:58.000Z

2021-11-16T15:52:58.000Z

metrics/write_excel_new.py

RyanXingQL/MW-GAN

562199344e322919a108048acd55b0dd8820df55

[ "MIT" ]

8

2020-10-23T14:15:15.000Z

2021-12-23T02:18:23.000Z

#!/usr/bin/env python # coding=utf-8 from xlwt import * from glob import glob import os import random #需要xlwt库的支持 #import xlwt #指定file以utf-8的格式打开 #指定打开的文件名 video_file = glob('/home/iceclear/Video-compression/video-PI42/*') file_path = 'C:/Users/IRC207/Desktop/video-PI42' method_list=['LQ'] file = Workbook(encoding = 'utf-8') table = file.add_sheet('data') data = ['File name'] for exp in video_file: video_list= glob(exp + '/*.mp4') for video_item in video_list: if os.path.basename(video_item)[-11:-4]=='416x240': addition_method=['MW-GAN','CVRGAN','MFQE2.0','SEVGAN'] random.shuffle(addition_method) method_list+=addition_method for i in range(len(method_list)): data.append(os.path.join(file_path,method_list[i],os.path.basename(video_item))) method_list=['LQ'] break for i,p in enumerate(data): table.write(i,0,p) for i,p in enumerate(data): if i>0: table.write(i,1,os.path.join(file_path,'LQ',os.path.basename(p))) else: table.write(i,1,os.path.basename(p)) file.save('TEST_1.xls') method_list=['LQ'] file = Workbook(encoding = 'utf-8') table = file.add_sheet('data') data = ['File name'] for exp in video_file: video_list= glob(exp + '/*.mp4') for video_item in video_list: if os.path.basename(video_item)[-11:-4]=='832x480': addition_method=['MW-GAN','CVRGAN','MFQE2.0','SEVGAN'] random.shuffle(addition_method) method_list+=addition_method for i in range(len(method_list)): data.append(os.path.join(file_path,method_list[i],os.path.basename(video_item))) method_list=['LQ'] break for i,p in enumerate(data): table.write(i,0,p) for i,p in enumerate(data): if i>0: table.write(i,1,os.path.join(file_path,'LQ',os.path.basename(p))) else: table.write(i,1,os.path.basename(p)) file.save('TEST_2.xls') method_list=['LQ'] file = Workbook(encoding = 'utf-8') table = file.add_sheet('data') data = ['File name'] for exp in video_file: video_list= glob(exp + '/*.mp4') for video_item in video_list: if os.path.basename(video_item)[-12:-4]=='1280x720': addition_method=['MW-GAN','CVRGAN','MFQE2.0','SEVGAN'] random.shuffle(addition_method) method_list+=addition_method for i in range(len(method_list)): data.append(os.path.join(file_path,method_list[i],os.path.basename(video_item))) method_list=['LQ'] break for i,p in enumerate(data): table.write(i,0,p) for i,p in enumerate(data): if i>0: table.write(i,1,os.path.join(file_path,'LQ',os.path.basename(p))) else: table.write(i,1,os.path.basename(p)) file.save('TEST_3.xls') method_list=['LQ'] file = Workbook(encoding = 'utf-8') table = file.add_sheet('data') data = ['File name'] for exp in video_file: video_list= glob(exp + '/*.mp4') for video_item in video_list: if os.path.basename(video_item)[-13:-4]=='1920x1080': addition_method=['MW-GAN','CVRGAN','MFQE2.0','SEVGAN'] random.shuffle(addition_method) method_list+=addition_method for i in range(len(method_list)): data.append(os.path.join(file_path,method_list[i],os.path.basename(video_item))) method_list=['LQ'] break for i,p in enumerate(data): table.write(i,0,p) for i,p in enumerate(data): if i>0: table.write(i,1,os.path.join(file_path,'LQ',os.path.basename(p))) else: table.write(i,1,os.path.basename(p)) file.save('TEST_4.xls') method_list=['LQ'] file = Workbook(encoding = 'utf-8') table = file.add_sheet('data') data = ['File name'] for exp in video_file: video_list= glob(exp + '/*.mp4') for video_item in video_list: if os.path.basename(video_item)[-13:-4]=='2560x1600': addition_method=['MW-GAN','CVRGAN','MFQE2.0','SEVGAN'] random.shuffle(addition_method) method_list+=addition_method for i in range(len(method_list)): data.append(os.path.join(file_path,method_list[i],os.path.basename(video_item))) method_list=['LQ'] break for i,p in enumerate(data): table.write(i,0,p) for i,p in enumerate(data): if i>0: table.write(i,1,os.path.join(file_path,'LQ',os.path.basename(p))) else: table.write(i,1,os.path.basename(p)) file.save('TEST_5.xls') # data = {} # #字典数据 # # ldata = [] # num = [a for a in data] # #for循环指定取出key值存入num��? # num.sort() # #字典数据取出后无需，需要先排序 # # for x in num: # #for循环将data字典中的键和值分批的保存在ldata��? # t = [int(x)] # for a in data[x]: # t.append(a) # ldata.append(t) # # for i,p in enumerate(ldata): # #将数据写入文��?i是enumerate()函数返回的序号数 # for j,q in enumerate(p): # # print i,j,q # table.write(i,j,q)

32.262821

97

0.606398

756

5,033

3.92328

0.12963

0.060688

0.094403

0.025961

0.8412

0.835806

0.001192

0.026811

0.229287

5,033

155

98

32.470968

0.736272

0.083449

0

0.867769

0

0.100339

0.017853

0

1

0

false

0

0.033058

0

0.033058

0

null

0

1

0

1

0

null

0

7

3e7d72fb76d355aad5f25af9ffd96b3951fa8458

20,046

py

Python

model.py

Arenops/ImprovedFCN

49b4322d4ac5179de97c27f0f540432084782322

[ "MIT" ]

12

2019-11-21T09:20:39.000Z

2022-03-10T08:58:21.000Z

model.py

Arenops/ImprovedFCN

49b4322d4ac5179de97c27f0f540432084782322

[ "MIT" ]

12

2020-01-28T22:03:53.000Z

2022-03-11T23:35:52.000Z

model.py

Arenops/ImprovedFCN

49b4322d4ac5179de97c27f0f540432084782322

[ "MIT" ]

3

2020-05-25T15:35:04.000Z

2021-12-29T07:41:13.000Z

import numpy as np import os from keras.models import * from keras.layers import * from keras.optimizers import * from keras.callbacks import ModelCheckpoint, LearningRateScheduler from keras import backend as keras def focal_loss(gamma=2., alpha=.25): def focal_loss_fixed(y_true, y_pred): pt_1 = tf.where(tf.equal(y_true, 1), y_pred, tf.ones_like(y_pred)) pt_0 = tf.where(tf.equal(y_true, 0), y_pred, tf.zeros_like(y_pred)) return -keras.sum(alpha * keras.pow(1. - pt_1, gamma) * keras.log(pt_1)) - keras.sum((1 - alpha) * keras.pow(pt_0, gamma) * keras.log(1. - pt_0)) return focal_loss_fixed # Dilated Convolutions & Focal Loss def unet3s2(pretrained_weights = None, input_size = (512, 512, 3)): input = Input(input_size) conv1 = Conv2D(64, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(input) conv1 = Conv2D(64, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv1) # conv1 = BatchNormalization()(conv1) pool1 = MaxPooling2D(pool_size=(2, 2))(conv1) conv12 = Conv2D(128, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(UpSampling2D(size = (2,2))(pool1)) conv2 = Conv2D(128, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool1) conv2 = Conv2D(128, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv2) # conv2 = BatchNormalization()(conv2) pool2 = MaxPooling2D(pool_size=(2, 2))(conv2) conv13 = Conv2D(128, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(UpSampling2D(size = (4,4))(pool2)) conv3 = Conv2D(256, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool2) conv3 = Conv2D(256, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv3) # conv3 = BatchNormalization()(conv3) pool3 = MaxPooling2D(pool_size=(2, 2))(conv3) conv4 = Conv2D(512, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool3) conv4 = Conv2D(512, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv4) conv14 = Conv2D(128, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(UpSampling2D(size = (8,8))(conv4)) conv4 = Conv2D(512, 3, activation = 'relu', dilation_rate = (2, 2), padding = 'same', kernel_initializer = 'he_normal')(conv4) conv4 = Conv2D(512, 3, activation = 'relu', dilation_rate = (2, 2), padding = 'same', kernel_initializer = 'he_normal')(conv4) conv4 = Conv2D(512, 3, activation = 'relu', dilation_rate = (4, 4), padding = 'same', kernel_initializer = 'he_normal')(conv4) conv4 = Conv2D(512, 3, activation = 'relu', dilation_rate = (4, 4), padding = 'same', kernel_initializer = 'he_normal')(conv4) # conv4 = BatchNormalization()(conv4) pool4 = MaxPooling2D(pool_size=(64, 64))(conv4) conv5 = Conv2D(128, 1, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool4) up5 = UpSampling2D(size = (512,512))(conv5) pool5 = MaxPooling2D(pool_size=(32, 32))(conv4) conv6 = Conv2D(128, 1, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool5) up6 = UpSampling2D(size = (256,256))(conv6) pool6 = MaxPooling2D(pool_size=(16, 16))(conv4) conv7 = Conv2D(128, 1, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool6) up7 = UpSampling2D(size = (128,128))(conv7) pool7 = MaxPooling2D(pool_size=(8, 8))(conv4) conv8 = Conv2D(128, 1, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool7) up8 = UpSampling2D(size = (64,64))(conv8) merge1 = concatenate([conv12, conv13, conv14, up5, up6, up7, up8], axis=3) conv9 = Conv2D(64, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(merge1) # conv9 = BatchNormalization()(conv9) conv10 = Conv2D(2, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv9) conv11 = Conv2D(1, 1, activation = 'sigmoid')(conv10) model = Model(inputs = input, outputs = conv11) print('model compile') # model.compile(optimizer = Adam(lr = 1e-5), loss = 'binary_crossentropy', metrics = ['accuracy']) model.compile(optimizer = Adam(lr = 1e-5), loss = [focal_loss(alpha=.25, gamma=2)], metrics = ['accuracy']) model.summary() if(pretrained_weights): model.load_weights(pretrained_weights) print ('loaded pretrained_weights ... {}'.format(pretrained_weights)) return model # Skip Connections def unet3s1(pretrained_weights = None, input_size = (512, 512, 3)): input = Input(input_size) conv1 = Conv2D(64, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(input) conv1 = Conv2D(64, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv1) # conv1 = BatchNormalization()(conv1) pool1 = MaxPooling2D(pool_size=(2, 2))(conv1) conv12 = Conv2D(128, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(UpSampling2D(size = (2,2))(pool1)) conv2 = Conv2D(128, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool1) conv2 = Conv2D(128, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv2) # conv2 = BatchNormalization()(conv2) pool2 = MaxPooling2D(pool_size=(2, 2))(conv2) conv13 = Conv2D(128, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(UpSampling2D(size = (4,4))(pool2)) conv3 = Conv2D(256, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool2) conv3 = Conv2D(256, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv3) # conv3 = BatchNormalization()(conv3) pool3 = MaxPooling2D(pool_size=(2, 2))(conv3) conv4 = Conv2D(512, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool3) conv4 = Conv2D(512, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv4) conv14 = Conv2D(128, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(UpSampling2D(size = (8,8))(conv4)) pool4 = MaxPooling2D(pool_size=(64, 64))(conv4) conv5 = Conv2D(128, 1, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool4) up5 = UpSampling2D(size = (512,512))(conv5) pool5 = MaxPooling2D(pool_size=(32, 32))(conv4) conv6 = Conv2D(128, 1, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool5) up6 = UpSampling2D(size = (256,256))(conv6) pool6 = MaxPooling2D(pool_size=(16, 16))(conv4) conv7 = Conv2D(128, 1, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool6) up7 = UpSampling2D(size = (128,128))(conv7) pool7 = MaxPooling2D(pool_size=(8, 8))(conv4) conv8 = Conv2D(128, 1, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool7) up8 = UpSampling2D(size = (64,64))(conv8) merge1 = concatenate([conv12, conv13, conv14, up5, up6, up7, up8], axis=3) conv9 = Conv2D(64, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(merge1) # conv9 = BatchNormalization()(conv9) conv10 = Conv2D(2, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv9) conv11 = Conv2D(1, 1, activation = 'sigmoid')(conv10) model = Model(inputs = input, outputs = conv11) print('model compile') model.compile(optimizer = Adam(lr = 1e-5), loss = 'binary_crossentropy', metrics = ['accuracy']) # model.compile(optimizer = Adam(lr = 1e-6), loss = [focal_loss(alpha=.25, gamma=2)], metrics = ['accuracy']) model.summary() if(pretrained_weights): model.load_weights(pretrained_weights) print ('loaded pretrained_weights ... {}'.format(pretrained_weights)) return model # Spatial Max Pooling def unet2s(pretrained_weights = None, input_size = (512, 512, 3)): input = Input(input_size) conv1 = Conv2D(64, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(input) conv1 = Conv2D(64, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv1)#512 pool1 = MaxPooling2D(pool_size=(2, 2))(conv1) conv2 = Conv2D(128, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool1) conv2 = Conv2D(128, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv2) pool2 = MaxPooling2D(pool_size=(2, 2))(conv2) conv3 = Conv2D(256, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool2) conv3 = Conv2D(256, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv3) pool3 = MaxPooling2D(pool_size=(2, 2))(conv3) conv4 = Conv2D(512, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool3) conv4 = Conv2D(512, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv4) conv12 = UpSampling2D(size=(8, 8))(conv4) pool4 = MaxPooling2D(pool_size=(64, 64))(conv4) conv5 = Conv2D(128, 1, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool4) # up5 = Conv2D(512, 2, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(UpSampling2D(size = (64,64))(conv5)) up5 = UpSampling2D(size = (512,512))(conv5) pool5 = MaxPooling2D(pool_size=(32, 32))(conv4) conv6 = Conv2D(128, 1, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool5) # up6 = Conv2D(512, 2, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(UpSampling2D(size = (32,32))(conv6)) up6 = UpSampling2D(size = (256,256))(conv6) pool6 = MaxPooling2D(pool_size=(16, 16))(conv4) conv7 = Conv2D(128, 1, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool6) # up7 = Conv2D(512, 2, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(UpSampling2D(size = (16,16))(conv7)) up7 = UpSampling2D(size = (128,128))(conv7) pool7 = MaxPooling2D(pool_size=(8, 8))(conv4) conv8 = Conv2D(128, 1, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool7) # up8 = Conv2D(512, 2, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(UpSampling2D(size = (8,8))(conv8)) up8 = UpSampling2D(size = (64,64))(conv8) merge1 = concatenate([conv12, up5, up6, up7, up8], axis=3) conv9 = Conv2D(64, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(merge1) conv10 = Conv2D(2, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv9) conv11 = Conv2D(1, 1, activation = 'sigmoid')(conv10) model = Model(inputs = input, outputs = conv11) print('model compile') model.compile(optimizer = Adam(lr = 1e-5), loss = 'binary_crossentropy', metrics = ['accuracy']) model.summary() if(pretrained_weights): model.load_weights(pretrained_weights) print ('loaded pretrained_weights ... {}'.format(pretrained_weights)) return model # Spatial Average Pooling def unet2(pretrained_weights = None, input_size = (512, 512, 3)): input = Input(input_size) conv1 = Conv2D(64, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(input) conv1 = Conv2D(64, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv1)#512 pool1 = MaxPooling2D(pool_size=(2, 2))(conv1) conv2 = Conv2D(128, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool1) conv2 = Conv2D(128, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv2) pool2 = MaxPooling2D(pool_size=(2, 2))(conv2) conv3 = Conv2D(256, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool2) conv3 = Conv2D(256, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv3) pool3 = MaxPooling2D(pool_size=(2, 2))(conv3) conv4 = Conv2D(512, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool3) conv4 = Conv2D(512, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv4) conv12 = UpSampling2D(size=(8, 8))(conv4) pool4 = AveragePooling2D(pool_size=(64, 64))(conv4) conv5 = Conv2D(128, 1, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool4) # up5 = Conv2D(512, 2, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(UpSampling2D(size = (64,64))(conv5)) up5 = UpSampling2D(size = (512,512))(conv5) pool5 = AveragePooling2D(pool_size=(32, 32))(conv4) conv6 = Conv2D(128, 1, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool5) # up6 = Conv2D(512, 2, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(UpSampling2D(size = (32,32))(conv6)) up6 = UpSampling2D(size = (256,256))(conv6) pool6 = AveragePooling2D(pool_size=(16, 16))(conv4) conv7 = Conv2D(128, 1, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool6) # up7 = Conv2D(512, 2, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(UpSampling2D(size = (16,16))(conv7)) up7 = UpSampling2D(size = (128,128))(conv7) pool7 = AveragePooling2D(pool_size=(8, 8))(conv4) conv8 = Conv2D(128, 1, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool7) # up8 = Conv2D(512, 2, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(UpSampling2D(size = (8,8))(conv8)) up8 = UpSampling2D(size = (64,64))(conv8) merge1 = concatenate([conv12, up5, up6, up7, up8], axis=3) conv9 = Conv2D(64, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(merge1) conv10 = Conv2D(2, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv9) conv11 = Conv2D(1, 1, activation = 'sigmoid')(conv10) model = Model(inputs = input, outputs = conv11) print('model compile') model.compile(optimizer = Adam(lr = 1e-5), loss = 'binary_crossentropy', metrics = ['accuracy']) model.summary() if(pretrained_weights): model.load_weights(pretrained_weights) print ('loaded pretrained_weights ... {}'.format(pretrained_weights)) return model # Backbone def unet0(pretrained_weights = None, input_size = (512, 512, 3)): input = Input(input_size) conv1 = Conv2D(64, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(input) conv1 = Conv2D(64, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv1) pool1 = MaxPooling2D(pool_size=(2, 2))(conv1) conv2 = Conv2D(128, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool1) conv2 = Conv2D(128, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv2) pool2 = MaxPooling2D(pool_size=(2, 2))(conv2) conv3 = Conv2D(256, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool2) conv3 = Conv2D(256, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv3) pool3 = MaxPooling2D(pool_size=(2, 2))(conv3) conv4 = Conv2D(512, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool3) conv4 = Conv2D(512, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv4) conv14 = Conv2D(128, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(UpSampling2D(size = (8,8))(conv4)) conv9 = Conv2D(64, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv14) conv10 = Conv2D(2, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv9) conv11 = Conv2D(1, 1, activation = 'sigmoid')(conv10) model = Model(inputs = input, outputs = conv11) print('model compile') model.compile(optimizer = Adam(lr = 1e-4), loss = 'binary_crossentropy', metrics = ['accuracy']) # model.compile(optimizer = Adam(lr = 1e-5), loss = [focal_loss(alpha=.25, gamma=2)], metrics = ['accuracy']) model.summary() if(pretrained_weights): model.load_weights(pretrained_weights) print ('loaded pretrained_weights ... {}'.format(pretrained_weights)) return model # U-net def unet(pretrained_weights = None,input_size = (512,512,3)): inputs = Input(input_size) conv1 = Conv2D(64, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(inputs) conv1 = Conv2D(64, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv1)#512 pool1 = MaxPooling2D(pool_size=(2, 2))(conv1) conv2 = Conv2D(128, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool1) conv2 = Conv2D(128, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv2) pool2 = MaxPooling2D(pool_size=(2, 2))(conv2) conv3 = Conv2D(256, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool2) conv3 = Conv2D(256, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv3) pool3 = MaxPooling2D(pool_size=(2, 2))(conv3) conv4 = Conv2D(512, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool3) conv4 = Conv2D(512, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv4) pool4 = MaxPooling2D(pool_size=(2, 2))(conv4) conv5 = Conv2D(1024, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(pool4) conv5 = Conv2D(1024, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv5) up6 = Conv2D(512, 2, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(UpSampling2D(size = (2,2))(conv5)) merge6 = concatenate([conv4, up6], axis=3) conv6 = Conv2D(512, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(merge6) conv6 = Conv2D(512, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv6) up7 = Conv2D(256, 2, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(UpSampling2D(size = (2,2))(conv6)) merge7 = concatenate([conv3, up7], axis=3) conv7 = Conv2D(256, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(merge7) conv7 = Conv2D(256, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv7) up8 = Conv2D(128, 2, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(UpSampling2D(size = (2,2))(conv7)) merge8 = concatenate([conv2, up8], axis=3) conv8 = Conv2D(128, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(merge8) conv8 = Conv2D(128, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv8) up9 = Conv2D(64, 2, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(UpSampling2D(size = (2,2))(conv8)) merge9 = concatenate([conv1, up9], axis=3) conv9 = Conv2D(64, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(merge9) conv9 = Conv2D(64, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv9) conv9 = Conv2D(2, 3, activation = 'relu', padding = 'same', kernel_initializer = 'he_normal')(conv9) conv10 = Conv2D(1, 1, activation = 'sigmoid')(conv9) model = Model(input = inputs, output = conv10) print('model compile') model.compile(optimizer = Adam(lr = 1e-5), loss = 'binary_crossentropy', metrics = ['accuracy']) # model.compile(optimizer = Adam(lr = 1e-5), loss = [focal_loss(alpha=.25, gamma=2)], metrics = ['accuracy']) model.summary() if(pretrained_weights): model.load_weights(pretrained_weights) return model

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Python

intersight/api/vnic_api.py

CiscoDevNet/intersight-python

04b721f37c3044646a91c185c7259edfb991557a

[ "Apache-2.0" ]

5

2021-12-16T15:13:32.000Z

2022-03-29T16:09:54.000Z

intersight/api/vnic_api.py

CiscoDevNet/intersight-python

04b721f37c3044646a91c185c7259edfb991557a

[ "Apache-2.0" ]

4

2022-01-25T19:05:51.000Z

2022-03-29T20:18:37.000Z

intersight/api/vnic_api.py

CiscoDevNet/intersight-python

04b721f37c3044646a91c185c7259edfb991557a

[ "Apache-2.0" ]

2

2020-07-07T15:01:08.000Z

2022-01-31T04:27:35.000Z

""" Cisco Intersight Cisco Intersight is a management platform delivered as a service with embedded analytics for your Cisco and 3rd party IT infrastructure. This platform offers an intelligent level of management that enables IT organizations to analyze, simplify, and automate their environments in more advanced ways than the prior generations of tools. Cisco Intersight provides an integrated and intuitive management experience for resources in the traditional data center as well as at the edge. With flexible deployment options to address complex security needs, getting started with Intersight is quick and easy. Cisco Intersight has deep integration with Cisco UCS and HyperFlex systems allowing for remote deployment, configuration, and ongoing maintenance. The model-based deployment works for a single system in a remote location or hundreds of systems in a data center and enables rapid, standardized configuration and deployment. It also streamlines maintaining those systems whether you are working with small or very large configurations. The Intersight OpenAPI document defines the complete set of properties that are returned in the HTTP response. From that perspective, a client can expect that no additional properties are returned, unless these properties are explicitly defined in the OpenAPI document. However, when a client uses an older version of the Intersight OpenAPI document, the server may send additional properties because the software is more recent than the client. In that case, the client may receive properties that it does not know about. Some generated SDKs perform a strict validation of the HTTP response body against the OpenAPI document. # noqa: E501 The version of the OpenAPI document: 1.0.9-4950 Contact: intersight@cisco.com Generated by: https://openapi-generator.tech """ import re # noqa: F401 import sys # noqa: F401 from intersight.api_client import ApiClient, Endpoint as _Endpoint from intersight.model_utils import ( # noqa: F401 check_allowed_values, check_validations, date, datetime, file_type, none_type, validate_and_convert_types ) from intersight.model.error import Error from intersight.model.vnic_eth_adapter_policy import VnicEthAdapterPolicy from intersight.model.vnic_eth_adapter_policy_response import VnicEthAdapterPolicyResponse from intersight.model.vnic_eth_if import VnicEthIf from intersight.model.vnic_eth_if_response import VnicEthIfResponse from intersight.model.vnic_eth_network_policy import VnicEthNetworkPolicy from intersight.model.vnic_eth_network_policy_response import VnicEthNetworkPolicyResponse from intersight.model.vnic_eth_qos_policy import VnicEthQosPolicy from intersight.model.vnic_eth_qos_policy_response import VnicEthQosPolicyResponse from intersight.model.vnic_fc_adapter_policy import VnicFcAdapterPolicy from intersight.model.vnic_fc_adapter_policy_response import VnicFcAdapterPolicyResponse from intersight.model.vnic_fc_if import VnicFcIf from intersight.model.vnic_fc_if_response import VnicFcIfResponse from intersight.model.vnic_fc_network_policy import VnicFcNetworkPolicy from intersight.model.vnic_fc_network_policy_response import VnicFcNetworkPolicyResponse from intersight.model.vnic_fc_qos_policy import VnicFcQosPolicy from intersight.model.vnic_fc_qos_policy_response import VnicFcQosPolicyResponse from intersight.model.vnic_iscsi_adapter_policy import VnicIscsiAdapterPolicy from intersight.model.vnic_iscsi_adapter_policy_response import VnicIscsiAdapterPolicyResponse from intersight.model.vnic_iscsi_boot_policy import VnicIscsiBootPolicy from intersight.model.vnic_iscsi_boot_policy_response import VnicIscsiBootPolicyResponse from intersight.model.vnic_iscsi_static_target_policy import VnicIscsiStaticTargetPolicy from intersight.model.vnic_iscsi_static_target_policy_response import VnicIscsiStaticTargetPolicyResponse from intersight.model.vnic_lan_connectivity_policy import VnicLanConnectivityPolicy from intersight.model.vnic_lan_connectivity_policy_response import VnicLanConnectivityPolicyResponse from intersight.model.vnic_lcp_status import VnicLcpStatus from intersight.model.vnic_lcp_status_response import VnicLcpStatusResponse from intersight.model.vnic_san_connectivity_policy import VnicSanConnectivityPolicy from intersight.model.vnic_san_connectivity_policy_response import VnicSanConnectivityPolicyResponse from intersight.model.vnic_scp_status import VnicScpStatus from intersight.model.vnic_scp_status_response import VnicScpStatusResponse class VnicApi(object): """NOTE: This class is auto generated by OpenAPI Generator Ref: https://openapi-generator.tech Do not edit the class manually. """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def __create_vnic_eth_adapter_policy( self, vnic_eth_adapter_policy, **kwargs ): """Create a 'vnic.EthAdapterPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_vnic_eth_adapter_policy(vnic_eth_adapter_policy, async_req=True) >>> result = thread.get() Args: vnic_eth_adapter_policy (VnicEthAdapterPolicy): The 'vnic.EthAdapterPolicy' resource to create. Keyword Args: if_match (str): For methods that apply server-side changes, and in particular for PUT, If-Match can be used to prevent the lost update problem. It can check if the modification of a resource that the user wants to upload will not override another change that has been done since the original resource was fetched. If the request cannot be fulfilled, the 412 (Precondition Failed) response is returned. When modifying a resource using POST or PUT, the If-Match header must be set to the value of the resource ModTime property after which no lost update problem should occur. For example, a client send a GET request to obtain a resource, which includes the ModTime property. The ModTime indicates the last time the resource was created or modified. The client then sends a POST or PUT request with the If-Match header set to the ModTime property of the resource as obtained in the GET request.. [optional] if_none_match (str): For methods that apply server-side changes, If-None-Match used with the * value can be used to create a resource not known to exist, guaranteeing that another resource creation didn't happen before, losing the data of the previous put. The request will be processed only if the eventually existing resource's ETag doesn't match any of the values listed. Otherwise, the status code 412 (Precondition Failed) is used. The asterisk is a special value representing any resource. It is only useful when creating a resource, usually with PUT, to check if another resource with the identity has already been created before. The comparison with the stored ETag uses the weak comparison algorithm, meaning two resources are considered identical if the content is equivalent - they don't have to be identical byte for byte.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicEthAdapterPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['vnic_eth_adapter_policy'] = \ vnic_eth_adapter_policy return self.call_with_http_info(**kwargs) self.create_vnic_eth_adapter_policy = _Endpoint( settings={ 'response_type': (VnicEthAdapterPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/EthAdapterPolicies', 'operation_id': 'create_vnic_eth_adapter_policy', 'http_method': 'POST', 'servers': None, }, params_map={ 'all': [ 'vnic_eth_adapter_policy', 'if_match', 'if_none_match', ], 'required': [ 'vnic_eth_adapter_policy', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'vnic_eth_adapter_policy': (VnicEthAdapterPolicy,), 'if_match': (str,), 'if_none_match': (str,), }, 'attribute_map': { 'if_match': 'If-Match', 'if_none_match': 'If-None-Match', }, 'location_map': { 'vnic_eth_adapter_policy': 'body', 'if_match': 'header', 'if_none_match': 'header', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json' ] }, api_client=api_client, callable=__create_vnic_eth_adapter_policy ) def __create_vnic_eth_if( self, vnic_eth_if, **kwargs ): """Create a 'vnic.EthIf' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_vnic_eth_if(vnic_eth_if, async_req=True) >>> result = thread.get() Args: vnic_eth_if (VnicEthIf): The 'vnic.EthIf' resource to create. Keyword Args: if_match (str): For methods that apply server-side changes, and in particular for PUT, If-Match can be used to prevent the lost update problem. It can check if the modification of a resource that the user wants to upload will not override another change that has been done since the original resource was fetched. If the request cannot be fulfilled, the 412 (Precondition Failed) response is returned. When modifying a resource using POST or PUT, the If-Match header must be set to the value of the resource ModTime property after which no lost update problem should occur. For example, a client send a GET request to obtain a resource, which includes the ModTime property. The ModTime indicates the last time the resource was created or modified. The client then sends a POST or PUT request with the If-Match header set to the ModTime property of the resource as obtained in the GET request.. [optional] if_none_match (str): For methods that apply server-side changes, If-None-Match used with the * value can be used to create a resource not known to exist, guaranteeing that another resource creation didn't happen before, losing the data of the previous put. The request will be processed only if the eventually existing resource's ETag doesn't match any of the values listed. Otherwise, the status code 412 (Precondition Failed) is used. The asterisk is a special value representing any resource. It is only useful when creating a resource, usually with PUT, to check if another resource with the identity has already been created before. The comparison with the stored ETag uses the weak comparison algorithm, meaning two resources are considered identical if the content is equivalent - they don't have to be identical byte for byte.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicEthIf If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['vnic_eth_if'] = \ vnic_eth_if return self.call_with_http_info(**kwargs) self.create_vnic_eth_if = _Endpoint( settings={ 'response_type': (VnicEthIf,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/EthIfs', 'operation_id': 'create_vnic_eth_if', 'http_method': 'POST', 'servers': None, }, params_map={ 'all': [ 'vnic_eth_if', 'if_match', 'if_none_match', ], 'required': [ 'vnic_eth_if', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'vnic_eth_if': (VnicEthIf,), 'if_match': (str,), 'if_none_match': (str,), }, 'attribute_map': { 'if_match': 'If-Match', 'if_none_match': 'If-None-Match', }, 'location_map': { 'vnic_eth_if': 'body', 'if_match': 'header', 'if_none_match': 'header', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json' ] }, api_client=api_client, callable=__create_vnic_eth_if ) def __create_vnic_eth_network_policy( self, vnic_eth_network_policy, **kwargs ): """Create a 'vnic.EthNetworkPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_vnic_eth_network_policy(vnic_eth_network_policy, async_req=True) >>> result = thread.get() Args: vnic_eth_network_policy (VnicEthNetworkPolicy): The 'vnic.EthNetworkPolicy' resource to create. Keyword Args: if_match (str): For methods that apply server-side changes, and in particular for PUT, If-Match can be used to prevent the lost update problem. It can check if the modification of a resource that the user wants to upload will not override another change that has been done since the original resource was fetched. If the request cannot be fulfilled, the 412 (Precondition Failed) response is returned. When modifying a resource using POST or PUT, the If-Match header must be set to the value of the resource ModTime property after which no lost update problem should occur. For example, a client send a GET request to obtain a resource, which includes the ModTime property. The ModTime indicates the last time the resource was created or modified. The client then sends a POST or PUT request with the If-Match header set to the ModTime property of the resource as obtained in the GET request.. [optional] if_none_match (str): For methods that apply server-side changes, If-None-Match used with the * value can be used to create a resource not known to exist, guaranteeing that another resource creation didn't happen before, losing the data of the previous put. The request will be processed only if the eventually existing resource's ETag doesn't match any of the values listed. Otherwise, the status code 412 (Precondition Failed) is used. The asterisk is a special value representing any resource. It is only useful when creating a resource, usually with PUT, to check if another resource with the identity has already been created before. The comparison with the stored ETag uses the weak comparison algorithm, meaning two resources are considered identical if the content is equivalent - they don't have to be identical byte for byte.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicEthNetworkPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['vnic_eth_network_policy'] = \ vnic_eth_network_policy return self.call_with_http_info(**kwargs) self.create_vnic_eth_network_policy = _Endpoint( settings={ 'response_type': (VnicEthNetworkPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/EthNetworkPolicies', 'operation_id': 'create_vnic_eth_network_policy', 'http_method': 'POST', 'servers': None, }, params_map={ 'all': [ 'vnic_eth_network_policy', 'if_match', 'if_none_match', ], 'required': [ 'vnic_eth_network_policy', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'vnic_eth_network_policy': (VnicEthNetworkPolicy,), 'if_match': (str,), 'if_none_match': (str,), }, 'attribute_map': { 'if_match': 'If-Match', 'if_none_match': 'If-None-Match', }, 'location_map': { 'vnic_eth_network_policy': 'body', 'if_match': 'header', 'if_none_match': 'header', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json' ] }, api_client=api_client, callable=__create_vnic_eth_network_policy ) def __create_vnic_eth_qos_policy( self, vnic_eth_qos_policy, **kwargs ): """Create a 'vnic.EthQosPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_vnic_eth_qos_policy(vnic_eth_qos_policy, async_req=True) >>> result = thread.get() Args: vnic_eth_qos_policy (VnicEthQosPolicy): The 'vnic.EthQosPolicy' resource to create. Keyword Args: if_match (str): For methods that apply server-side changes, and in particular for PUT, If-Match can be used to prevent the lost update problem. It can check if the modification of a resource that the user wants to upload will not override another change that has been done since the original resource was fetched. If the request cannot be fulfilled, the 412 (Precondition Failed) response is returned. When modifying a resource using POST or PUT, the If-Match header must be set to the value of the resource ModTime property after which no lost update problem should occur. For example, a client send a GET request to obtain a resource, which includes the ModTime property. The ModTime indicates the last time the resource was created or modified. The client then sends a POST or PUT request with the If-Match header set to the ModTime property of the resource as obtained in the GET request.. [optional] if_none_match (str): For methods that apply server-side changes, If-None-Match used with the * value can be used to create a resource not known to exist, guaranteeing that another resource creation didn't happen before, losing the data of the previous put. The request will be processed only if the eventually existing resource's ETag doesn't match any of the values listed. Otherwise, the status code 412 (Precondition Failed) is used. The asterisk is a special value representing any resource. It is only useful when creating a resource, usually with PUT, to check if another resource with the identity has already been created before. The comparison with the stored ETag uses the weak comparison algorithm, meaning two resources are considered identical if the content is equivalent - they don't have to be identical byte for byte.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicEthQosPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['vnic_eth_qos_policy'] = \ vnic_eth_qos_policy return self.call_with_http_info(**kwargs) self.create_vnic_eth_qos_policy = _Endpoint( settings={ 'response_type': (VnicEthQosPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/EthQosPolicies', 'operation_id': 'create_vnic_eth_qos_policy', 'http_method': 'POST', 'servers': None, }, params_map={ 'all': [ 'vnic_eth_qos_policy', 'if_match', 'if_none_match', ], 'required': [ 'vnic_eth_qos_policy', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'vnic_eth_qos_policy': (VnicEthQosPolicy,), 'if_match': (str,), 'if_none_match': (str,), }, 'attribute_map': { 'if_match': 'If-Match', 'if_none_match': 'If-None-Match', }, 'location_map': { 'vnic_eth_qos_policy': 'body', 'if_match': 'header', 'if_none_match': 'header', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json' ] }, api_client=api_client, callable=__create_vnic_eth_qos_policy ) def __create_vnic_fc_adapter_policy( self, vnic_fc_adapter_policy, **kwargs ): """Create a 'vnic.FcAdapterPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_vnic_fc_adapter_policy(vnic_fc_adapter_policy, async_req=True) >>> result = thread.get() Args: vnic_fc_adapter_policy (VnicFcAdapterPolicy): The 'vnic.FcAdapterPolicy' resource to create. Keyword Args: if_match (str): For methods that apply server-side changes, and in particular for PUT, If-Match can be used to prevent the lost update problem. It can check if the modification of a resource that the user wants to upload will not override another change that has been done since the original resource was fetched. If the request cannot be fulfilled, the 412 (Precondition Failed) response is returned. When modifying a resource using POST or PUT, the If-Match header must be set to the value of the resource ModTime property after which no lost update problem should occur. For example, a client send a GET request to obtain a resource, which includes the ModTime property. The ModTime indicates the last time the resource was created or modified. The client then sends a POST or PUT request with the If-Match header set to the ModTime property of the resource as obtained in the GET request.. [optional] if_none_match (str): For methods that apply server-side changes, If-None-Match used with the * value can be used to create a resource not known to exist, guaranteeing that another resource creation didn't happen before, losing the data of the previous put. The request will be processed only if the eventually existing resource's ETag doesn't match any of the values listed. Otherwise, the status code 412 (Precondition Failed) is used. The asterisk is a special value representing any resource. It is only useful when creating a resource, usually with PUT, to check if another resource with the identity has already been created before. The comparison with the stored ETag uses the weak comparison algorithm, meaning two resources are considered identical if the content is equivalent - they don't have to be identical byte for byte.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicFcAdapterPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['vnic_fc_adapter_policy'] = \ vnic_fc_adapter_policy return self.call_with_http_info(**kwargs) self.create_vnic_fc_adapter_policy = _Endpoint( settings={ 'response_type': (VnicFcAdapterPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/FcAdapterPolicies', 'operation_id': 'create_vnic_fc_adapter_policy', 'http_method': 'POST', 'servers': None, }, params_map={ 'all': [ 'vnic_fc_adapter_policy', 'if_match', 'if_none_match', ], 'required': [ 'vnic_fc_adapter_policy', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'vnic_fc_adapter_policy': (VnicFcAdapterPolicy,), 'if_match': (str,), 'if_none_match': (str,), }, 'attribute_map': { 'if_match': 'If-Match', 'if_none_match': 'If-None-Match', }, 'location_map': { 'vnic_fc_adapter_policy': 'body', 'if_match': 'header', 'if_none_match': 'header', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json' ] }, api_client=api_client, callable=__create_vnic_fc_adapter_policy ) def __create_vnic_fc_if( self, vnic_fc_if, **kwargs ): """Create a 'vnic.FcIf' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_vnic_fc_if(vnic_fc_if, async_req=True) >>> result = thread.get() Args: vnic_fc_if (VnicFcIf): The 'vnic.FcIf' resource to create. Keyword Args: if_match (str): For methods that apply server-side changes, and in particular for PUT, If-Match can be used to prevent the lost update problem. It can check if the modification of a resource that the user wants to upload will not override another change that has been done since the original resource was fetched. If the request cannot be fulfilled, the 412 (Precondition Failed) response is returned. When modifying a resource using POST or PUT, the If-Match header must be set to the value of the resource ModTime property after which no lost update problem should occur. For example, a client send a GET request to obtain a resource, which includes the ModTime property. The ModTime indicates the last time the resource was created or modified. The client then sends a POST or PUT request with the If-Match header set to the ModTime property of the resource as obtained in the GET request.. [optional] if_none_match (str): For methods that apply server-side changes, If-None-Match used with the * value can be used to create a resource not known to exist, guaranteeing that another resource creation didn't happen before, losing the data of the previous put. The request will be processed only if the eventually existing resource's ETag doesn't match any of the values listed. Otherwise, the status code 412 (Precondition Failed) is used. The asterisk is a special value representing any resource. It is only useful when creating a resource, usually with PUT, to check if another resource with the identity has already been created before. The comparison with the stored ETag uses the weak comparison algorithm, meaning two resources are considered identical if the content is equivalent - they don't have to be identical byte for byte.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicFcIf If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['vnic_fc_if'] = \ vnic_fc_if return self.call_with_http_info(**kwargs) self.create_vnic_fc_if = _Endpoint( settings={ 'response_type': (VnicFcIf,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/FcIfs', 'operation_id': 'create_vnic_fc_if', 'http_method': 'POST', 'servers': None, }, params_map={ 'all': [ 'vnic_fc_if', 'if_match', 'if_none_match', ], 'required': [ 'vnic_fc_if', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'vnic_fc_if': (VnicFcIf,), 'if_match': (str,), 'if_none_match': (str,), }, 'attribute_map': { 'if_match': 'If-Match', 'if_none_match': 'If-None-Match', }, 'location_map': { 'vnic_fc_if': 'body', 'if_match': 'header', 'if_none_match': 'header', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json' ] }, api_client=api_client, callable=__create_vnic_fc_if ) def __create_vnic_fc_network_policy( self, vnic_fc_network_policy, **kwargs ): """Create a 'vnic.FcNetworkPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_vnic_fc_network_policy(vnic_fc_network_policy, async_req=True) >>> result = thread.get() Args: vnic_fc_network_policy (VnicFcNetworkPolicy): The 'vnic.FcNetworkPolicy' resource to create. Keyword Args: if_match (str): For methods that apply server-side changes, and in particular for PUT, If-Match can be used to prevent the lost update problem. It can check if the modification of a resource that the user wants to upload will not override another change that has been done since the original resource was fetched. If the request cannot be fulfilled, the 412 (Precondition Failed) response is returned. When modifying a resource using POST or PUT, the If-Match header must be set to the value of the resource ModTime property after which no lost update problem should occur. For example, a client send a GET request to obtain a resource, which includes the ModTime property. The ModTime indicates the last time the resource was created or modified. The client then sends a POST or PUT request with the If-Match header set to the ModTime property of the resource as obtained in the GET request.. [optional] if_none_match (str): For methods that apply server-side changes, If-None-Match used with the * value can be used to create a resource not known to exist, guaranteeing that another resource creation didn't happen before, losing the data of the previous put. The request will be processed only if the eventually existing resource's ETag doesn't match any of the values listed. Otherwise, the status code 412 (Precondition Failed) is used. The asterisk is a special value representing any resource. It is only useful when creating a resource, usually with PUT, to check if another resource with the identity has already been created before. The comparison with the stored ETag uses the weak comparison algorithm, meaning two resources are considered identical if the content is equivalent - they don't have to be identical byte for byte.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicFcNetworkPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['vnic_fc_network_policy'] = \ vnic_fc_network_policy return self.call_with_http_info(**kwargs) self.create_vnic_fc_network_policy = _Endpoint( settings={ 'response_type': (VnicFcNetworkPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/FcNetworkPolicies', 'operation_id': 'create_vnic_fc_network_policy', 'http_method': 'POST', 'servers': None, }, params_map={ 'all': [ 'vnic_fc_network_policy', 'if_match', 'if_none_match', ], 'required': [ 'vnic_fc_network_policy', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'vnic_fc_network_policy': (VnicFcNetworkPolicy,), 'if_match': (str,), 'if_none_match': (str,), }, 'attribute_map': { 'if_match': 'If-Match', 'if_none_match': 'If-None-Match', }, 'location_map': { 'vnic_fc_network_policy': 'body', 'if_match': 'header', 'if_none_match': 'header', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json' ] }, api_client=api_client, callable=__create_vnic_fc_network_policy ) def __create_vnic_fc_qos_policy( self, vnic_fc_qos_policy, **kwargs ): """Create a 'vnic.FcQosPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_vnic_fc_qos_policy(vnic_fc_qos_policy, async_req=True) >>> result = thread.get() Args: vnic_fc_qos_policy (VnicFcQosPolicy): The 'vnic.FcQosPolicy' resource to create. Keyword Args: if_match (str): For methods that apply server-side changes, and in particular for PUT, If-Match can be used to prevent the lost update problem. It can check if the modification of a resource that the user wants to upload will not override another change that has been done since the original resource was fetched. If the request cannot be fulfilled, the 412 (Precondition Failed) response is returned. When modifying a resource using POST or PUT, the If-Match header must be set to the value of the resource ModTime property after which no lost update problem should occur. For example, a client send a GET request to obtain a resource, which includes the ModTime property. The ModTime indicates the last time the resource was created or modified. The client then sends a POST or PUT request with the If-Match header set to the ModTime property of the resource as obtained in the GET request.. [optional] if_none_match (str): For methods that apply server-side changes, If-None-Match used with the * value can be used to create a resource not known to exist, guaranteeing that another resource creation didn't happen before, losing the data of the previous put. The request will be processed only if the eventually existing resource's ETag doesn't match any of the values listed. Otherwise, the status code 412 (Precondition Failed) is used. The asterisk is a special value representing any resource. It is only useful when creating a resource, usually with PUT, to check if another resource with the identity has already been created before. The comparison with the stored ETag uses the weak comparison algorithm, meaning two resources are considered identical if the content is equivalent - they don't have to be identical byte for byte.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicFcQosPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['vnic_fc_qos_policy'] = \ vnic_fc_qos_policy return self.call_with_http_info(**kwargs) self.create_vnic_fc_qos_policy = _Endpoint( settings={ 'response_type': (VnicFcQosPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/FcQosPolicies', 'operation_id': 'create_vnic_fc_qos_policy', 'http_method': 'POST', 'servers': None, }, params_map={ 'all': [ 'vnic_fc_qos_policy', 'if_match', 'if_none_match', ], 'required': [ 'vnic_fc_qos_policy', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'vnic_fc_qos_policy': (VnicFcQosPolicy,), 'if_match': (str,), 'if_none_match': (str,), }, 'attribute_map': { 'if_match': 'If-Match', 'if_none_match': 'If-None-Match', }, 'location_map': { 'vnic_fc_qos_policy': 'body', 'if_match': 'header', 'if_none_match': 'header', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json' ] }, api_client=api_client, callable=__create_vnic_fc_qos_policy ) def __create_vnic_iscsi_adapter_policy( self, vnic_iscsi_adapter_policy, **kwargs ): """Create a 'vnic.IscsiAdapterPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_vnic_iscsi_adapter_policy(vnic_iscsi_adapter_policy, async_req=True) >>> result = thread.get() Args: vnic_iscsi_adapter_policy (VnicIscsiAdapterPolicy): The 'vnic.IscsiAdapterPolicy' resource to create. Keyword Args: if_match (str): For methods that apply server-side changes, and in particular for PUT, If-Match can be used to prevent the lost update problem. It can check if the modification of a resource that the user wants to upload will not override another change that has been done since the original resource was fetched. If the request cannot be fulfilled, the 412 (Precondition Failed) response is returned. When modifying a resource using POST or PUT, the If-Match header must be set to the value of the resource ModTime property after which no lost update problem should occur. For example, a client send a GET request to obtain a resource, which includes the ModTime property. The ModTime indicates the last time the resource was created or modified. The client then sends a POST or PUT request with the If-Match header set to the ModTime property of the resource as obtained in the GET request.. [optional] if_none_match (str): For methods that apply server-side changes, If-None-Match used with the * value can be used to create a resource not known to exist, guaranteeing that another resource creation didn't happen before, losing the data of the previous put. The request will be processed only if the eventually existing resource's ETag doesn't match any of the values listed. Otherwise, the status code 412 (Precondition Failed) is used. The asterisk is a special value representing any resource. It is only useful when creating a resource, usually with PUT, to check if another resource with the identity has already been created before. The comparison with the stored ETag uses the weak comparison algorithm, meaning two resources are considered identical if the content is equivalent - they don't have to be identical byte for byte.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicIscsiAdapterPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['vnic_iscsi_adapter_policy'] = \ vnic_iscsi_adapter_policy return self.call_with_http_info(**kwargs) self.create_vnic_iscsi_adapter_policy = _Endpoint( settings={ 'response_type': (VnicIscsiAdapterPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/IscsiAdapterPolicies', 'operation_id': 'create_vnic_iscsi_adapter_policy', 'http_method': 'POST', 'servers': None, }, params_map={ 'all': [ 'vnic_iscsi_adapter_policy', 'if_match', 'if_none_match', ], 'required': [ 'vnic_iscsi_adapter_policy', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'vnic_iscsi_adapter_policy': (VnicIscsiAdapterPolicy,), 'if_match': (str,), 'if_none_match': (str,), }, 'attribute_map': { 'if_match': 'If-Match', 'if_none_match': 'If-None-Match', }, 'location_map': { 'vnic_iscsi_adapter_policy': 'body', 'if_match': 'header', 'if_none_match': 'header', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json' ] }, api_client=api_client, callable=__create_vnic_iscsi_adapter_policy ) def __create_vnic_iscsi_boot_policy( self, vnic_iscsi_boot_policy, **kwargs ): """Create a 'vnic.IscsiBootPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_vnic_iscsi_boot_policy(vnic_iscsi_boot_policy, async_req=True) >>> result = thread.get() Args: vnic_iscsi_boot_policy (VnicIscsiBootPolicy): The 'vnic.IscsiBootPolicy' resource to create. Keyword Args: if_match (str): For methods that apply server-side changes, and in particular for PUT, If-Match can be used to prevent the lost update problem. It can check if the modification of a resource that the user wants to upload will not override another change that has been done since the original resource was fetched. If the request cannot be fulfilled, the 412 (Precondition Failed) response is returned. When modifying a resource using POST or PUT, the If-Match header must be set to the value of the resource ModTime property after which no lost update problem should occur. For example, a client send a GET request to obtain a resource, which includes the ModTime property. The ModTime indicates the last time the resource was created or modified. The client then sends a POST or PUT request with the If-Match header set to the ModTime property of the resource as obtained in the GET request.. [optional] if_none_match (str): For methods that apply server-side changes, If-None-Match used with the * value can be used to create a resource not known to exist, guaranteeing that another resource creation didn't happen before, losing the data of the previous put. The request will be processed only if the eventually existing resource's ETag doesn't match any of the values listed. Otherwise, the status code 412 (Precondition Failed) is used. The asterisk is a special value representing any resource. It is only useful when creating a resource, usually with PUT, to check if another resource with the identity has already been created before. The comparison with the stored ETag uses the weak comparison algorithm, meaning two resources are considered identical if the content is equivalent - they don't have to be identical byte for byte.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicIscsiBootPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['vnic_iscsi_boot_policy'] = \ vnic_iscsi_boot_policy return self.call_with_http_info(**kwargs) self.create_vnic_iscsi_boot_policy = _Endpoint( settings={ 'response_type': (VnicIscsiBootPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/IscsiBootPolicies', 'operation_id': 'create_vnic_iscsi_boot_policy', 'http_method': 'POST', 'servers': None, }, params_map={ 'all': [ 'vnic_iscsi_boot_policy', 'if_match', 'if_none_match', ], 'required': [ 'vnic_iscsi_boot_policy', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'vnic_iscsi_boot_policy': (VnicIscsiBootPolicy,), 'if_match': (str,), 'if_none_match': (str,), }, 'attribute_map': { 'if_match': 'If-Match', 'if_none_match': 'If-None-Match', }, 'location_map': { 'vnic_iscsi_boot_policy': 'body', 'if_match': 'header', 'if_none_match': 'header', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json' ] }, api_client=api_client, callable=__create_vnic_iscsi_boot_policy ) def __create_vnic_iscsi_static_target_policy( self, vnic_iscsi_static_target_policy, **kwargs ): """Create a 'vnic.IscsiStaticTargetPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_vnic_iscsi_static_target_policy(vnic_iscsi_static_target_policy, async_req=True) >>> result = thread.get() Args: vnic_iscsi_static_target_policy (VnicIscsiStaticTargetPolicy): The 'vnic.IscsiStaticTargetPolicy' resource to create. Keyword Args: if_match (str): For methods that apply server-side changes, and in particular for PUT, If-Match can be used to prevent the lost update problem. It can check if the modification of a resource that the user wants to upload will not override another change that has been done since the original resource was fetched. If the request cannot be fulfilled, the 412 (Precondition Failed) response is returned. When modifying a resource using POST or PUT, the If-Match header must be set to the value of the resource ModTime property after which no lost update problem should occur. For example, a client send a GET request to obtain a resource, which includes the ModTime property. The ModTime indicates the last time the resource was created or modified. The client then sends a POST or PUT request with the If-Match header set to the ModTime property of the resource as obtained in the GET request.. [optional] if_none_match (str): For methods that apply server-side changes, If-None-Match used with the * value can be used to create a resource not known to exist, guaranteeing that another resource creation didn't happen before, losing the data of the previous put. The request will be processed only if the eventually existing resource's ETag doesn't match any of the values listed. Otherwise, the status code 412 (Precondition Failed) is used. The asterisk is a special value representing any resource. It is only useful when creating a resource, usually with PUT, to check if another resource with the identity has already been created before. The comparison with the stored ETag uses the weak comparison algorithm, meaning two resources are considered identical if the content is equivalent - they don't have to be identical byte for byte.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicIscsiStaticTargetPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['vnic_iscsi_static_target_policy'] = \ vnic_iscsi_static_target_policy return self.call_with_http_info(**kwargs) self.create_vnic_iscsi_static_target_policy = _Endpoint( settings={ 'response_type': (VnicIscsiStaticTargetPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/IscsiStaticTargetPolicies', 'operation_id': 'create_vnic_iscsi_static_target_policy', 'http_method': 'POST', 'servers': None, }, params_map={ 'all': [ 'vnic_iscsi_static_target_policy', 'if_match', 'if_none_match', ], 'required': [ 'vnic_iscsi_static_target_policy', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'vnic_iscsi_static_target_policy': (VnicIscsiStaticTargetPolicy,), 'if_match': (str,), 'if_none_match': (str,), }, 'attribute_map': { 'if_match': 'If-Match', 'if_none_match': 'If-None-Match', }, 'location_map': { 'vnic_iscsi_static_target_policy': 'body', 'if_match': 'header', 'if_none_match': 'header', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json' ] }, api_client=api_client, callable=__create_vnic_iscsi_static_target_policy ) def __create_vnic_lan_connectivity_policy( self, vnic_lan_connectivity_policy, **kwargs ): """Create a 'vnic.LanConnectivityPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_vnic_lan_connectivity_policy(vnic_lan_connectivity_policy, async_req=True) >>> result = thread.get() Args: vnic_lan_connectivity_policy (VnicLanConnectivityPolicy): The 'vnic.LanConnectivityPolicy' resource to create. Keyword Args: if_match (str): For methods that apply server-side changes, and in particular for PUT, If-Match can be used to prevent the lost update problem. It can check if the modification of a resource that the user wants to upload will not override another change that has been done since the original resource was fetched. If the request cannot be fulfilled, the 412 (Precondition Failed) response is returned. When modifying a resource using POST or PUT, the If-Match header must be set to the value of the resource ModTime property after which no lost update problem should occur. For example, a client send a GET request to obtain a resource, which includes the ModTime property. The ModTime indicates the last time the resource was created or modified. The client then sends a POST or PUT request with the If-Match header set to the ModTime property of the resource as obtained in the GET request.. [optional] if_none_match (str): For methods that apply server-side changes, If-None-Match used with the * value can be used to create a resource not known to exist, guaranteeing that another resource creation didn't happen before, losing the data of the previous put. The request will be processed only if the eventually existing resource's ETag doesn't match any of the values listed. Otherwise, the status code 412 (Precondition Failed) is used. The asterisk is a special value representing any resource. It is only useful when creating a resource, usually with PUT, to check if another resource with the identity has already been created before. The comparison with the stored ETag uses the weak comparison algorithm, meaning two resources are considered identical if the content is equivalent - they don't have to be identical byte for byte.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicLanConnectivityPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['vnic_lan_connectivity_policy'] = \ vnic_lan_connectivity_policy return self.call_with_http_info(**kwargs) self.create_vnic_lan_connectivity_policy = _Endpoint( settings={ 'response_type': (VnicLanConnectivityPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/LanConnectivityPolicies', 'operation_id': 'create_vnic_lan_connectivity_policy', 'http_method': 'POST', 'servers': None, }, params_map={ 'all': [ 'vnic_lan_connectivity_policy', 'if_match', 'if_none_match', ], 'required': [ 'vnic_lan_connectivity_policy', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'vnic_lan_connectivity_policy': (VnicLanConnectivityPolicy,), 'if_match': (str,), 'if_none_match': (str,), }, 'attribute_map': { 'if_match': 'If-Match', 'if_none_match': 'If-None-Match', }, 'location_map': { 'vnic_lan_connectivity_policy': 'body', 'if_match': 'header', 'if_none_match': 'header', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json' ] }, api_client=api_client, callable=__create_vnic_lan_connectivity_policy ) def __create_vnic_san_connectivity_policy( self, vnic_san_connectivity_policy, **kwargs ): """Create a 'vnic.SanConnectivityPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_vnic_san_connectivity_policy(vnic_san_connectivity_policy, async_req=True) >>> result = thread.get() Args: vnic_san_connectivity_policy (VnicSanConnectivityPolicy): The 'vnic.SanConnectivityPolicy' resource to create. Keyword Args: if_match (str): For methods that apply server-side changes, and in particular for PUT, If-Match can be used to prevent the lost update problem. It can check if the modification of a resource that the user wants to upload will not override another change that has been done since the original resource was fetched. If the request cannot be fulfilled, the 412 (Precondition Failed) response is returned. When modifying a resource using POST or PUT, the If-Match header must be set to the value of the resource ModTime property after which no lost update problem should occur. For example, a client send a GET request to obtain a resource, which includes the ModTime property. The ModTime indicates the last time the resource was created or modified. The client then sends a POST or PUT request with the If-Match header set to the ModTime property of the resource as obtained in the GET request.. [optional] if_none_match (str): For methods that apply server-side changes, If-None-Match used with the * value can be used to create a resource not known to exist, guaranteeing that another resource creation didn't happen before, losing the data of the previous put. The request will be processed only if the eventually existing resource's ETag doesn't match any of the values listed. Otherwise, the status code 412 (Precondition Failed) is used. The asterisk is a special value representing any resource. It is only useful when creating a resource, usually with PUT, to check if another resource with the identity has already been created before. The comparison with the stored ETag uses the weak comparison algorithm, meaning two resources are considered identical if the content is equivalent - they don't have to be identical byte for byte.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicSanConnectivityPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['vnic_san_connectivity_policy'] = \ vnic_san_connectivity_policy return self.call_with_http_info(**kwargs) self.create_vnic_san_connectivity_policy = _Endpoint( settings={ 'response_type': (VnicSanConnectivityPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/SanConnectivityPolicies', 'operation_id': 'create_vnic_san_connectivity_policy', 'http_method': 'POST', 'servers': None, }, params_map={ 'all': [ 'vnic_san_connectivity_policy', 'if_match', 'if_none_match', ], 'required': [ 'vnic_san_connectivity_policy', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'vnic_san_connectivity_policy': (VnicSanConnectivityPolicy,), 'if_match': (str,), 'if_none_match': (str,), }, 'attribute_map': { 'if_match': 'If-Match', 'if_none_match': 'If-None-Match', }, 'location_map': { 'vnic_san_connectivity_policy': 'body', 'if_match': 'header', 'if_none_match': 'header', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json' ] }, api_client=api_client, callable=__create_vnic_san_connectivity_policy ) def __delete_vnic_eth_adapter_policy( self, moid, **kwargs ): """Delete a 'vnic.EthAdapterPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_vnic_eth_adapter_policy(moid, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: None If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid return self.call_with_http_info(**kwargs) self.delete_vnic_eth_adapter_policy = _Endpoint( settings={ 'response_type': None, 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/EthAdapterPolicies/{Moid}', 'operation_id': 'delete_vnic_eth_adapter_policy', 'http_method': 'DELETE', 'servers': None, }, params_map={ 'all': [ 'moid', ], 'required': [ 'moid', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), }, 'attribute_map': { 'moid': 'Moid', }, 'location_map': { 'moid': 'path', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [], }, api_client=api_client, callable=__delete_vnic_eth_adapter_policy ) def __delete_vnic_eth_if( self, moid, **kwargs ): """Delete a 'vnic.EthIf' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_vnic_eth_if(moid, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: None If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid return self.call_with_http_info(**kwargs) self.delete_vnic_eth_if = _Endpoint( settings={ 'response_type': None, 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/EthIfs/{Moid}', 'operation_id': 'delete_vnic_eth_if', 'http_method': 'DELETE', 'servers': None, }, params_map={ 'all': [ 'moid', ], 'required': [ 'moid', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), }, 'attribute_map': { 'moid': 'Moid', }, 'location_map': { 'moid': 'path', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [], }, api_client=api_client, callable=__delete_vnic_eth_if ) def __delete_vnic_eth_network_policy( self, moid, **kwargs ): """Delete a 'vnic.EthNetworkPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_vnic_eth_network_policy(moid, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: None If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid return self.call_with_http_info(**kwargs) self.delete_vnic_eth_network_policy = _Endpoint( settings={ 'response_type': None, 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/EthNetworkPolicies/{Moid}', 'operation_id': 'delete_vnic_eth_network_policy', 'http_method': 'DELETE', 'servers': None, }, params_map={ 'all': [ 'moid', ], 'required': [ 'moid', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), }, 'attribute_map': { 'moid': 'Moid', }, 'location_map': { 'moid': 'path', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [], }, api_client=api_client, callable=__delete_vnic_eth_network_policy ) def __delete_vnic_eth_qos_policy( self, moid, **kwargs ): """Delete a 'vnic.EthQosPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_vnic_eth_qos_policy(moid, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: None If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid return self.call_with_http_info(**kwargs) self.delete_vnic_eth_qos_policy = _Endpoint( settings={ 'response_type': None, 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/EthQosPolicies/{Moid}', 'operation_id': 'delete_vnic_eth_qos_policy', 'http_method': 'DELETE', 'servers': None, }, params_map={ 'all': [ 'moid', ], 'required': [ 'moid', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), }, 'attribute_map': { 'moid': 'Moid', }, 'location_map': { 'moid': 'path', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [], }, api_client=api_client, callable=__delete_vnic_eth_qos_policy ) def __delete_vnic_fc_adapter_policy( self, moid, **kwargs ): """Delete a 'vnic.FcAdapterPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_vnic_fc_adapter_policy(moid, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: None If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid return self.call_with_http_info(**kwargs) self.delete_vnic_fc_adapter_policy = _Endpoint( settings={ 'response_type': None, 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/FcAdapterPolicies/{Moid}', 'operation_id': 'delete_vnic_fc_adapter_policy', 'http_method': 'DELETE', 'servers': None, }, params_map={ 'all': [ 'moid', ], 'required': [ 'moid', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), }, 'attribute_map': { 'moid': 'Moid', }, 'location_map': { 'moid': 'path', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [], }, api_client=api_client, callable=__delete_vnic_fc_adapter_policy ) def __delete_vnic_fc_if( self, moid, **kwargs ): """Delete a 'vnic.FcIf' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_vnic_fc_if(moid, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: None If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid return self.call_with_http_info(**kwargs) self.delete_vnic_fc_if = _Endpoint( settings={ 'response_type': None, 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/FcIfs/{Moid}', 'operation_id': 'delete_vnic_fc_if', 'http_method': 'DELETE', 'servers': None, }, params_map={ 'all': [ 'moid', ], 'required': [ 'moid', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), }, 'attribute_map': { 'moid': 'Moid', }, 'location_map': { 'moid': 'path', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [], }, api_client=api_client, callable=__delete_vnic_fc_if ) def __delete_vnic_fc_network_policy( self, moid, **kwargs ): """Delete a 'vnic.FcNetworkPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_vnic_fc_network_policy(moid, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: None If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid return self.call_with_http_info(**kwargs) self.delete_vnic_fc_network_policy = _Endpoint( settings={ 'response_type': None, 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/FcNetworkPolicies/{Moid}', 'operation_id': 'delete_vnic_fc_network_policy', 'http_method': 'DELETE', 'servers': None, }, params_map={ 'all': [ 'moid', ], 'required': [ 'moid', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), }, 'attribute_map': { 'moid': 'Moid', }, 'location_map': { 'moid': 'path', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [], }, api_client=api_client, callable=__delete_vnic_fc_network_policy ) def __delete_vnic_fc_qos_policy( self, moid, **kwargs ): """Delete a 'vnic.FcQosPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_vnic_fc_qos_policy(moid, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: None If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid return self.call_with_http_info(**kwargs) self.delete_vnic_fc_qos_policy = _Endpoint( settings={ 'response_type': None, 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/FcQosPolicies/{Moid}', 'operation_id': 'delete_vnic_fc_qos_policy', 'http_method': 'DELETE', 'servers': None, }, params_map={ 'all': [ 'moid', ], 'required': [ 'moid', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), }, 'attribute_map': { 'moid': 'Moid', }, 'location_map': { 'moid': 'path', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [], }, api_client=api_client, callable=__delete_vnic_fc_qos_policy ) def __delete_vnic_iscsi_adapter_policy( self, moid, **kwargs ): """Delete a 'vnic.IscsiAdapterPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_vnic_iscsi_adapter_policy(moid, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: None If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid return self.call_with_http_info(**kwargs) self.delete_vnic_iscsi_adapter_policy = _Endpoint( settings={ 'response_type': None, 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/IscsiAdapterPolicies/{Moid}', 'operation_id': 'delete_vnic_iscsi_adapter_policy', 'http_method': 'DELETE', 'servers': None, }, params_map={ 'all': [ 'moid', ], 'required': [ 'moid', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), }, 'attribute_map': { 'moid': 'Moid', }, 'location_map': { 'moid': 'path', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [], }, api_client=api_client, callable=__delete_vnic_iscsi_adapter_policy ) def __delete_vnic_iscsi_boot_policy( self, moid, **kwargs ): """Delete a 'vnic.IscsiBootPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_vnic_iscsi_boot_policy(moid, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: None If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid return self.call_with_http_info(**kwargs) self.delete_vnic_iscsi_boot_policy = _Endpoint( settings={ 'response_type': None, 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/IscsiBootPolicies/{Moid}', 'operation_id': 'delete_vnic_iscsi_boot_policy', 'http_method': 'DELETE', 'servers': None, }, params_map={ 'all': [ 'moid', ], 'required': [ 'moid', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), }, 'attribute_map': { 'moid': 'Moid', }, 'location_map': { 'moid': 'path', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [], }, api_client=api_client, callable=__delete_vnic_iscsi_boot_policy ) def __delete_vnic_iscsi_static_target_policy( self, moid, **kwargs ): """Delete a 'vnic.IscsiStaticTargetPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_vnic_iscsi_static_target_policy(moid, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: None If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid return self.call_with_http_info(**kwargs) self.delete_vnic_iscsi_static_target_policy = _Endpoint( settings={ 'response_type': None, 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/IscsiStaticTargetPolicies/{Moid}', 'operation_id': 'delete_vnic_iscsi_static_target_policy', 'http_method': 'DELETE', 'servers': None, }, params_map={ 'all': [ 'moid', ], 'required': [ 'moid', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), }, 'attribute_map': { 'moid': 'Moid', }, 'location_map': { 'moid': 'path', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [], }, api_client=api_client, callable=__delete_vnic_iscsi_static_target_policy ) def __delete_vnic_lan_connectivity_policy( self, moid, **kwargs ): """Delete a 'vnic.LanConnectivityPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_vnic_lan_connectivity_policy(moid, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: None If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid return self.call_with_http_info(**kwargs) self.delete_vnic_lan_connectivity_policy = _Endpoint( settings={ 'response_type': None, 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/LanConnectivityPolicies/{Moid}', 'operation_id': 'delete_vnic_lan_connectivity_policy', 'http_method': 'DELETE', 'servers': None, }, params_map={ 'all': [ 'moid', ], 'required': [ 'moid', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), }, 'attribute_map': { 'moid': 'Moid', }, 'location_map': { 'moid': 'path', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [], }, api_client=api_client, callable=__delete_vnic_lan_connectivity_policy ) def __delete_vnic_san_connectivity_policy( self, moid, **kwargs ): """Delete a 'vnic.SanConnectivityPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_vnic_san_connectivity_policy(moid, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: None If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid return self.call_with_http_info(**kwargs) self.delete_vnic_san_connectivity_policy = _Endpoint( settings={ 'response_type': None, 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/SanConnectivityPolicies/{Moid}', 'operation_id': 'delete_vnic_san_connectivity_policy', 'http_method': 'DELETE', 'servers': None, }, params_map={ 'all': [ 'moid', ], 'required': [ 'moid', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), }, 'attribute_map': { 'moid': 'Moid', }, 'location_map': { 'moid': 'path', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [], }, api_client=api_client, callable=__delete_vnic_san_connectivity_policy ) def __get_vnic_eth_adapter_policy_by_moid( self, moid, **kwargs ): """Read a 'vnic.EthAdapterPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_vnic_eth_adapter_policy_by_moid(moid, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicEthAdapterPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid return self.call_with_http_info(**kwargs) self.get_vnic_eth_adapter_policy_by_moid = _Endpoint( settings={ 'response_type': (VnicEthAdapterPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/EthAdapterPolicies/{Moid}', 'operation_id': 'get_vnic_eth_adapter_policy_by_moid', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'moid', ], 'required': [ 'moid', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), }, 'attribute_map': { 'moid': 'Moid', }, 'location_map': { 'moid': 'path', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json', 'text/csv', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' ], 'content_type': [], }, api_client=api_client, callable=__get_vnic_eth_adapter_policy_by_moid ) def __get_vnic_eth_adapter_policy_list( self, **kwargs ): """Read a 'vnic.EthAdapterPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_vnic_eth_adapter_policy_list(async_req=True) >>> result = thread.get() Keyword Args: filter (str): Filter criteria for the resources to return. A URI with a $filter query option identifies a subset of the entries from the Collection of Entries. The subset is determined by selecting only the Entries that satisfy the predicate expression specified by the $filter option. The expression language that is used in $filter queries supports references to properties and literals. The literal values can be strings enclosed in single quotes, numbers and boolean values (true or false).. [optional] if omitted the server will use the default value of "" orderby (str): Determines what properties are used to sort the collection of resources.. [optional] top (int): Specifies the maximum number of resources to return in the response.. [optional] if omitted the server will use the default value of 100 skip (int): Specifies the number of resources to skip in the response.. [optional] if omitted the server will use the default value of 0 select (str): Specifies a subset of properties to return.. [optional] if omitted the server will use the default value of "" expand (str): Specify additional attributes or related resources to return in addition to the primary resources.. [optional] apply (str): Specify one or more transformation operations to perform aggregation on the resources. The transformations are processed in order with the output from a transformation being used as input for the subsequent transformation. The \"$apply\" query takes a sequence of set transformations, separated by forward slashes to express that they are consecutively applied, i.e. the result of each transformation is the input to the next transformation. Supported aggregation methods are \"aggregate\" and \"groupby\". The **aggregate** transformation takes a comma-separated list of one or more aggregate expressions as parameters and returns a result set with a single instance, representing the aggregated value for all instances in the input set. The **groupby** transformation takes one or two parameters and 1. Splits the initial set into subsets where all instances in a subset have the same values for the grouping properties specified in the first parameter, 2. Applies set transformations to each subset according to the second parameter, resulting in a new set of potentially different structure and cardinality, 3. Ensures that the instances in the result set contain all grouping properties with the correct values for the group, 4. Concatenates the intermediate result sets into one result set. A groupby transformation affects the structure of the result set.. [optional] count (bool): The $count query specifies the service should return the count of the matching resources, instead of returning the resources.. [optional] inlinecount (str): The $inlinecount query option allows clients to request an inline count of the matching resources included with the resources in the response.. [optional] if omitted the server will use the default value of "allpages" at (str): Similar to \"$filter\", but \"at\" is specifically used to filter versioning information properties for resources to return. A URI with an \"at\" Query Option identifies a subset of the Entries from the Collection of Entries identified by the Resource Path section of the URI. The subset is determined by selecting only the Entries that satisfy the predicate expression specified by the query option. The expression language that is used in at operators supports references to properties and literals. The literal values can be strings enclosed in single quotes, numbers and boolean values (true or false) or any of the additional literal representations shown in the Abstract Type System section.. [optional] tags (str): The 'tags' parameter is used to request a summary of the Tag utilization for this resource. When the 'tags' parameter is specified, the response provides a list of tag keys, the number of times the key has been used across all documents, and the tag values that have been assigned to the tag key.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicEthAdapterPolicyResponse If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') return self.call_with_http_info(**kwargs) self.get_vnic_eth_adapter_policy_list = _Endpoint( settings={ 'response_type': (VnicEthAdapterPolicyResponse,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/EthAdapterPolicies', 'operation_id': 'get_vnic_eth_adapter_policy_list', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'filter', 'orderby', 'top', 'skip', 'select', 'expand', 'apply', 'count', 'inlinecount', 'at', 'tags', ], 'required': [], 'nullable': [ ], 'enum': [ 'inlinecount', ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { ('inlinecount',): { "ALLPAGES": "allpages", "NONE": "none" }, }, 'openapi_types': { 'filter': (str,), 'orderby': (str,), 'top': (int,), 'skip': (int,), 'select': (str,), 'expand': (str,), 'apply': (str,), 'count': (bool,), 'inlinecount': (str,), 'at': (str,), 'tags': (str,), }, 'attribute_map': { 'filter': '$filter', 'orderby': '$orderby', 'top': '$top', 'skip': '$skip', 'select': '$select', 'expand': '$expand', 'apply': '$apply', 'count': '$count', 'inlinecount': '$inlinecount', 'at': 'at', 'tags': 'tags', }, 'location_map': { 'filter': 'query', 'orderby': 'query', 'top': 'query', 'skip': 'query', 'select': 'query', 'expand': 'query', 'apply': 'query', 'count': 'query', 'inlinecount': 'query', 'at': 'query', 'tags': 'query', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json', 'text/csv', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' ], 'content_type': [], }, api_client=api_client, callable=__get_vnic_eth_adapter_policy_list ) def __get_vnic_eth_if_by_moid( self, moid, **kwargs ): """Read a 'vnic.EthIf' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_vnic_eth_if_by_moid(moid, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicEthIf If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid return self.call_with_http_info(**kwargs) self.get_vnic_eth_if_by_moid = _Endpoint( settings={ 'response_type': (VnicEthIf,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/EthIfs/{Moid}', 'operation_id': 'get_vnic_eth_if_by_moid', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'moid', ], 'required': [ 'moid', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), }, 'attribute_map': { 'moid': 'Moid', }, 'location_map': { 'moid': 'path', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json', 'text/csv', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' ], 'content_type': [], }, api_client=api_client, callable=__get_vnic_eth_if_by_moid ) def __get_vnic_eth_if_list( self, **kwargs ): """Read a 'vnic.EthIf' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_vnic_eth_if_list(async_req=True) >>> result = thread.get() Keyword Args: filter (str): Filter criteria for the resources to return. A URI with a $filter query option identifies a subset of the entries from the Collection of Entries. The subset is determined by selecting only the Entries that satisfy the predicate expression specified by the $filter option. The expression language that is used in $filter queries supports references to properties and literals. The literal values can be strings enclosed in single quotes, numbers and boolean values (true or false).. [optional] if omitted the server will use the default value of "" orderby (str): Determines what properties are used to sort the collection of resources.. [optional] top (int): Specifies the maximum number of resources to return in the response.. [optional] if omitted the server will use the default value of 100 skip (int): Specifies the number of resources to skip in the response.. [optional] if omitted the server will use the default value of 0 select (str): Specifies a subset of properties to return.. [optional] if omitted the server will use the default value of "" expand (str): Specify additional attributes or related resources to return in addition to the primary resources.. [optional] apply (str): Specify one or more transformation operations to perform aggregation on the resources. The transformations are processed in order with the output from a transformation being used as input for the subsequent transformation. The \"$apply\" query takes a sequence of set transformations, separated by forward slashes to express that they are consecutively applied, i.e. the result of each transformation is the input to the next transformation. Supported aggregation methods are \"aggregate\" and \"groupby\". The **aggregate** transformation takes a comma-separated list of one or more aggregate expressions as parameters and returns a result set with a single instance, representing the aggregated value for all instances in the input set. The **groupby** transformation takes one or two parameters and 1. Splits the initial set into subsets where all instances in a subset have the same values for the grouping properties specified in the first parameter, 2. Applies set transformations to each subset according to the second parameter, resulting in a new set of potentially different structure and cardinality, 3. Ensures that the instances in the result set contain all grouping properties with the correct values for the group, 4. Concatenates the intermediate result sets into one result set. A groupby transformation affects the structure of the result set.. [optional] count (bool): The $count query specifies the service should return the count of the matching resources, instead of returning the resources.. [optional] inlinecount (str): The $inlinecount query option allows clients to request an inline count of the matching resources included with the resources in the response.. [optional] if omitted the server will use the default value of "allpages" at (str): Similar to \"$filter\", but \"at\" is specifically used to filter versioning information properties for resources to return. A URI with an \"at\" Query Option identifies a subset of the Entries from the Collection of Entries identified by the Resource Path section of the URI. The subset is determined by selecting only the Entries that satisfy the predicate expression specified by the query option. The expression language that is used in at operators supports references to properties and literals. The literal values can be strings enclosed in single quotes, numbers and boolean values (true or false) or any of the additional literal representations shown in the Abstract Type System section.. [optional] tags (str): The 'tags' parameter is used to request a summary of the Tag utilization for this resource. When the 'tags' parameter is specified, the response provides a list of tag keys, the number of times the key has been used across all documents, and the tag values that have been assigned to the tag key.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicEthIfResponse If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') return self.call_with_http_info(**kwargs) self.get_vnic_eth_if_list = _Endpoint( settings={ 'response_type': (VnicEthIfResponse,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/EthIfs', 'operation_id': 'get_vnic_eth_if_list', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'filter', 'orderby', 'top', 'skip', 'select', 'expand', 'apply', 'count', 'inlinecount', 'at', 'tags', ], 'required': [], 'nullable': [ ], 'enum': [ 'inlinecount', ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { ('inlinecount',): { "ALLPAGES": "allpages", "NONE": "none" }, }, 'openapi_types': { 'filter': (str,), 'orderby': (str,), 'top': (int,), 'skip': (int,), 'select': (str,), 'expand': (str,), 'apply': (str,), 'count': (bool,), 'inlinecount': (str,), 'at': (str,), 'tags': (str,), }, 'attribute_map': { 'filter': '$filter', 'orderby': '$orderby', 'top': '$top', 'skip': '$skip', 'select': '$select', 'expand': '$expand', 'apply': '$apply', 'count': '$count', 'inlinecount': '$inlinecount', 'at': 'at', 'tags': 'tags', }, 'location_map': { 'filter': 'query', 'orderby': 'query', 'top': 'query', 'skip': 'query', 'select': 'query', 'expand': 'query', 'apply': 'query', 'count': 'query', 'inlinecount': 'query', 'at': 'query', 'tags': 'query', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json', 'text/csv', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' ], 'content_type': [], }, api_client=api_client, callable=__get_vnic_eth_if_list ) def __get_vnic_eth_network_policy_by_moid( self, moid, **kwargs ): """Read a 'vnic.EthNetworkPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_vnic_eth_network_policy_by_moid(moid, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicEthNetworkPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid return self.call_with_http_info(**kwargs) self.get_vnic_eth_network_policy_by_moid = _Endpoint( settings={ 'response_type': (VnicEthNetworkPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/EthNetworkPolicies/{Moid}', 'operation_id': 'get_vnic_eth_network_policy_by_moid', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'moid', ], 'required': [ 'moid', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), }, 'attribute_map': { 'moid': 'Moid', }, 'location_map': { 'moid': 'path', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json', 'text/csv', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' ], 'content_type': [], }, api_client=api_client, callable=__get_vnic_eth_network_policy_by_moid ) def __get_vnic_eth_network_policy_list( self, **kwargs ): """Read a 'vnic.EthNetworkPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_vnic_eth_network_policy_list(async_req=True) >>> result = thread.get() Keyword Args: filter (str): Filter criteria for the resources to return. A URI with a $filter query option identifies a subset of the entries from the Collection of Entries. The subset is determined by selecting only the Entries that satisfy the predicate expression specified by the $filter option. The expression language that is used in $filter queries supports references to properties and literals. The literal values can be strings enclosed in single quotes, numbers and boolean values (true or false).. [optional] if omitted the server will use the default value of "" orderby (str): Determines what properties are used to sort the collection of resources.. [optional] top (int): Specifies the maximum number of resources to return in the response.. [optional] if omitted the server will use the default value of 100 skip (int): Specifies the number of resources to skip in the response.. [optional] if omitted the server will use the default value of 0 select (str): Specifies a subset of properties to return.. [optional] if omitted the server will use the default value of "" expand (str): Specify additional attributes or related resources to return in addition to the primary resources.. [optional] apply (str): Specify one or more transformation operations to perform aggregation on the resources. The transformations are processed in order with the output from a transformation being used as input for the subsequent transformation. The \"$apply\" query takes a sequence of set transformations, separated by forward slashes to express that they are consecutively applied, i.e. the result of each transformation is the input to the next transformation. Supported aggregation methods are \"aggregate\" and \"groupby\". The **aggregate** transformation takes a comma-separated list of one or more aggregate expressions as parameters and returns a result set with a single instance, representing the aggregated value for all instances in the input set. The **groupby** transformation takes one or two parameters and 1. Splits the initial set into subsets where all instances in a subset have the same values for the grouping properties specified in the first parameter, 2. Applies set transformations to each subset according to the second parameter, resulting in a new set of potentially different structure and cardinality, 3. Ensures that the instances in the result set contain all grouping properties with the correct values for the group, 4. Concatenates the intermediate result sets into one result set. A groupby transformation affects the structure of the result set.. [optional] count (bool): The $count query specifies the service should return the count of the matching resources, instead of returning the resources.. [optional] inlinecount (str): The $inlinecount query option allows clients to request an inline count of the matching resources included with the resources in the response.. [optional] if omitted the server will use the default value of "allpages" at (str): Similar to \"$filter\", but \"at\" is specifically used to filter versioning information properties for resources to return. A URI with an \"at\" Query Option identifies a subset of the Entries from the Collection of Entries identified by the Resource Path section of the URI. The subset is determined by selecting only the Entries that satisfy the predicate expression specified by the query option. The expression language that is used in at operators supports references to properties and literals. The literal values can be strings enclosed in single quotes, numbers and boolean values (true or false) or any of the additional literal representations shown in the Abstract Type System section.. [optional] tags (str): The 'tags' parameter is used to request a summary of the Tag utilization for this resource. When the 'tags' parameter is specified, the response provides a list of tag keys, the number of times the key has been used across all documents, and the tag values that have been assigned to the tag key.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicEthNetworkPolicyResponse If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') return self.call_with_http_info(**kwargs) self.get_vnic_eth_network_policy_list = _Endpoint( settings={ 'response_type': (VnicEthNetworkPolicyResponse,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/EthNetworkPolicies', 'operation_id': 'get_vnic_eth_network_policy_list', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'filter', 'orderby', 'top', 'skip', 'select', 'expand', 'apply', 'count', 'inlinecount', 'at', 'tags', ], 'required': [], 'nullable': [ ], 'enum': [ 'inlinecount', ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { ('inlinecount',): { "ALLPAGES": "allpages", "NONE": "none" }, }, 'openapi_types': { 'filter': (str,), 'orderby': (str,), 'top': (int,), 'skip': (int,), 'select': (str,), 'expand': (str,), 'apply': (str,), 'count': (bool,), 'inlinecount': (str,), 'at': (str,), 'tags': (str,), }, 'attribute_map': { 'filter': '$filter', 'orderby': '$orderby', 'top': '$top', 'skip': '$skip', 'select': '$select', 'expand': '$expand', 'apply': '$apply', 'count': '$count', 'inlinecount': '$inlinecount', 'at': 'at', 'tags': 'tags', }, 'location_map': { 'filter': 'query', 'orderby': 'query', 'top': 'query', 'skip': 'query', 'select': 'query', 'expand': 'query', 'apply': 'query', 'count': 'query', 'inlinecount': 'query', 'at': 'query', 'tags': 'query', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json', 'text/csv', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' ], 'content_type': [], }, api_client=api_client, callable=__get_vnic_eth_network_policy_list ) def __get_vnic_eth_qos_policy_by_moid( self, moid, **kwargs ): """Read a 'vnic.EthQosPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_vnic_eth_qos_policy_by_moid(moid, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicEthQosPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid return self.call_with_http_info(**kwargs) self.get_vnic_eth_qos_policy_by_moid = _Endpoint( settings={ 'response_type': (VnicEthQosPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/EthQosPolicies/{Moid}', 'operation_id': 'get_vnic_eth_qos_policy_by_moid', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'moid', ], 'required': [ 'moid', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), }, 'attribute_map': { 'moid': 'Moid', }, 'location_map': { 'moid': 'path', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json', 'text/csv', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' ], 'content_type': [], }, api_client=api_client, callable=__get_vnic_eth_qos_policy_by_moid ) def __get_vnic_eth_qos_policy_list( self, **kwargs ): """Read a 'vnic.EthQosPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_vnic_eth_qos_policy_list(async_req=True) >>> result = thread.get() Keyword Args: filter (str): Filter criteria for the resources to return. A URI with a $filter query option identifies a subset of the entries from the Collection of Entries. The subset is determined by selecting only the Entries that satisfy the predicate expression specified by the $filter option. The expression language that is used in $filter queries supports references to properties and literals. The literal values can be strings enclosed in single quotes, numbers and boolean values (true or false).. [optional] if omitted the server will use the default value of "" orderby (str): Determines what properties are used to sort the collection of resources.. [optional] top (int): Specifies the maximum number of resources to return in the response.. [optional] if omitted the server will use the default value of 100 skip (int): Specifies the number of resources to skip in the response.. [optional] if omitted the server will use the default value of 0 select (str): Specifies a subset of properties to return.. [optional] if omitted the server will use the default value of "" expand (str): Specify additional attributes or related resources to return in addition to the primary resources.. [optional] apply (str): Specify one or more transformation operations to perform aggregation on the resources. The transformations are processed in order with the output from a transformation being used as input for the subsequent transformation. The \"$apply\" query takes a sequence of set transformations, separated by forward slashes to express that they are consecutively applied, i.e. the result of each transformation is the input to the next transformation. Supported aggregation methods are \"aggregate\" and \"groupby\". The **aggregate** transformation takes a comma-separated list of one or more aggregate expressions as parameters and returns a result set with a single instance, representing the aggregated value for all instances in the input set. The **groupby** transformation takes one or two parameters and 1. Splits the initial set into subsets where all instances in a subset have the same values for the grouping properties specified in the first parameter, 2. Applies set transformations to each subset according to the second parameter, resulting in a new set of potentially different structure and cardinality, 3. Ensures that the instances in the result set contain all grouping properties with the correct values for the group, 4. Concatenates the intermediate result sets into one result set. A groupby transformation affects the structure of the result set.. [optional] count (bool): The $count query specifies the service should return the count of the matching resources, instead of returning the resources.. [optional] inlinecount (str): The $inlinecount query option allows clients to request an inline count of the matching resources included with the resources in the response.. [optional] if omitted the server will use the default value of "allpages" at (str): Similar to \"$filter\", but \"at\" is specifically used to filter versioning information properties for resources to return. A URI with an \"at\" Query Option identifies a subset of the Entries from the Collection of Entries identified by the Resource Path section of the URI. The subset is determined by selecting only the Entries that satisfy the predicate expression specified by the query option. The expression language that is used in at operators supports references to properties and literals. The literal values can be strings enclosed in single quotes, numbers and boolean values (true or false) or any of the additional literal representations shown in the Abstract Type System section.. [optional] tags (str): The 'tags' parameter is used to request a summary of the Tag utilization for this resource. When the 'tags' parameter is specified, the response provides a list of tag keys, the number of times the key has been used across all documents, and the tag values that have been assigned to the tag key.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicEthQosPolicyResponse If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') return self.call_with_http_info(**kwargs) self.get_vnic_eth_qos_policy_list = _Endpoint( settings={ 'response_type': (VnicEthQosPolicyResponse,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/EthQosPolicies', 'operation_id': 'get_vnic_eth_qos_policy_list', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'filter', 'orderby', 'top', 'skip', 'select', 'expand', 'apply', 'count', 'inlinecount', 'at', 'tags', ], 'required': [], 'nullable': [ ], 'enum': [ 'inlinecount', ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { ('inlinecount',): { "ALLPAGES": "allpages", "NONE": "none" }, }, 'openapi_types': { 'filter': (str,), 'orderby': (str,), 'top': (int,), 'skip': (int,), 'select': (str,), 'expand': (str,), 'apply': (str,), 'count': (bool,), 'inlinecount': (str,), 'at': (str,), 'tags': (str,), }, 'attribute_map': { 'filter': '$filter', 'orderby': '$orderby', 'top': '$top', 'skip': '$skip', 'select': '$select', 'expand': '$expand', 'apply': '$apply', 'count': '$count', 'inlinecount': '$inlinecount', 'at': 'at', 'tags': 'tags', }, 'location_map': { 'filter': 'query', 'orderby': 'query', 'top': 'query', 'skip': 'query', 'select': 'query', 'expand': 'query', 'apply': 'query', 'count': 'query', 'inlinecount': 'query', 'at': 'query', 'tags': 'query', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json', 'text/csv', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' ], 'content_type': [], }, api_client=api_client, callable=__get_vnic_eth_qos_policy_list ) def __get_vnic_fc_adapter_policy_by_moid( self, moid, **kwargs ): """Read a 'vnic.FcAdapterPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_vnic_fc_adapter_policy_by_moid(moid, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicFcAdapterPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid return self.call_with_http_info(**kwargs) self.get_vnic_fc_adapter_policy_by_moid = _Endpoint( settings={ 'response_type': (VnicFcAdapterPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/FcAdapterPolicies/{Moid}', 'operation_id': 'get_vnic_fc_adapter_policy_by_moid', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'moid', ], 'required': [ 'moid', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), }, 'attribute_map': { 'moid': 'Moid', }, 'location_map': { 'moid': 'path', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json', 'text/csv', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' ], 'content_type': [], }, api_client=api_client, callable=__get_vnic_fc_adapter_policy_by_moid ) def __get_vnic_fc_adapter_policy_list( self, **kwargs ): """Read a 'vnic.FcAdapterPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_vnic_fc_adapter_policy_list(async_req=True) >>> result = thread.get() Keyword Args: filter (str): Filter criteria for the resources to return. A URI with a $filter query option identifies a subset of the entries from the Collection of Entries. The subset is determined by selecting only the Entries that satisfy the predicate expression specified by the $filter option. The expression language that is used in $filter queries supports references to properties and literals. The literal values can be strings enclosed in single quotes, numbers and boolean values (true or false).. [optional] if omitted the server will use the default value of "" orderby (str): Determines what properties are used to sort the collection of resources.. [optional] top (int): Specifies the maximum number of resources to return in the response.. [optional] if omitted the server will use the default value of 100 skip (int): Specifies the number of resources to skip in the response.. [optional] if omitted the server will use the default value of 0 select (str): Specifies a subset of properties to return.. [optional] if omitted the server will use the default value of "" expand (str): Specify additional attributes or related resources to return in addition to the primary resources.. [optional] apply (str): Specify one or more transformation operations to perform aggregation on the resources. The transformations are processed in order with the output from a transformation being used as input for the subsequent transformation. The \"$apply\" query takes a sequence of set transformations, separated by forward slashes to express that they are consecutively applied, i.e. the result of each transformation is the input to the next transformation. Supported aggregation methods are \"aggregate\" and \"groupby\". The **aggregate** transformation takes a comma-separated list of one or more aggregate expressions as parameters and returns a result set with a single instance, representing the aggregated value for all instances in the input set. The **groupby** transformation takes one or two parameters and 1. Splits the initial set into subsets where all instances in a subset have the same values for the grouping properties specified in the first parameter, 2. Applies set transformations to each subset according to the second parameter, resulting in a new set of potentially different structure and cardinality, 3. Ensures that the instances in the result set contain all grouping properties with the correct values for the group, 4. Concatenates the intermediate result sets into one result set. A groupby transformation affects the structure of the result set.. [optional] count (bool): The $count query specifies the service should return the count of the matching resources, instead of returning the resources.. [optional] inlinecount (str): The $inlinecount query option allows clients to request an inline count of the matching resources included with the resources in the response.. [optional] if omitted the server will use the default value of "allpages" at (str): Similar to \"$filter\", but \"at\" is specifically used to filter versioning information properties for resources to return. A URI with an \"at\" Query Option identifies a subset of the Entries from the Collection of Entries identified by the Resource Path section of the URI. The subset is determined by selecting only the Entries that satisfy the predicate expression specified by the query option. The expression language that is used in at operators supports references to properties and literals. The literal values can be strings enclosed in single quotes, numbers and boolean values (true or false) or any of the additional literal representations shown in the Abstract Type System section.. [optional] tags (str): The 'tags' parameter is used to request a summary of the Tag utilization for this resource. When the 'tags' parameter is specified, the response provides a list of tag keys, the number of times the key has been used across all documents, and the tag values that have been assigned to the tag key.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicFcAdapterPolicyResponse If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') return self.call_with_http_info(**kwargs) self.get_vnic_fc_adapter_policy_list = _Endpoint( settings={ 'response_type': (VnicFcAdapterPolicyResponse,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/FcAdapterPolicies', 'operation_id': 'get_vnic_fc_adapter_policy_list', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'filter', 'orderby', 'top', 'skip', 'select', 'expand', 'apply', 'count', 'inlinecount', 'at', 'tags', ], 'required': [], 'nullable': [ ], 'enum': [ 'inlinecount', ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { ('inlinecount',): { "ALLPAGES": "allpages", "NONE": "none" }, }, 'openapi_types': { 'filter': (str,), 'orderby': (str,), 'top': (int,), 'skip': (int,), 'select': (str,), 'expand': (str,), 'apply': (str,), 'count': (bool,), 'inlinecount': (str,), 'at': (str,), 'tags': (str,), }, 'attribute_map': { 'filter': '$filter', 'orderby': '$orderby', 'top': '$top', 'skip': '$skip', 'select': '$select', 'expand': '$expand', 'apply': '$apply', 'count': '$count', 'inlinecount': '$inlinecount', 'at': 'at', 'tags': 'tags', }, 'location_map': { 'filter': 'query', 'orderby': 'query', 'top': 'query', 'skip': 'query', 'select': 'query', 'expand': 'query', 'apply': 'query', 'count': 'query', 'inlinecount': 'query', 'at': 'query', 'tags': 'query', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json', 'text/csv', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' ], 'content_type': [], }, api_client=api_client, callable=__get_vnic_fc_adapter_policy_list ) def __get_vnic_fc_if_by_moid( self, moid, **kwargs ): """Read a 'vnic.FcIf' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_vnic_fc_if_by_moid(moid, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicFcIf If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid return self.call_with_http_info(**kwargs) self.get_vnic_fc_if_by_moid = _Endpoint( settings={ 'response_type': (VnicFcIf,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/FcIfs/{Moid}', 'operation_id': 'get_vnic_fc_if_by_moid', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'moid', ], 'required': [ 'moid', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), }, 'attribute_map': { 'moid': 'Moid', }, 'location_map': { 'moid': 'path', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json', 'text/csv', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' ], 'content_type': [], }, api_client=api_client, callable=__get_vnic_fc_if_by_moid ) def __get_vnic_fc_if_list( self, **kwargs ): """Read a 'vnic.FcIf' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_vnic_fc_if_list(async_req=True) >>> result = thread.get() Keyword Args: filter (str): Filter criteria for the resources to return. A URI with a $filter query option identifies a subset of the entries from the Collection of Entries. The subset is determined by selecting only the Entries that satisfy the predicate expression specified by the $filter option. The expression language that is used in $filter queries supports references to properties and literals. The literal values can be strings enclosed in single quotes, numbers and boolean values (true or false).. [optional] if omitted the server will use the default value of "" orderby (str): Determines what properties are used to sort the collection of resources.. [optional] top (int): Specifies the maximum number of resources to return in the response.. [optional] if omitted the server will use the default value of 100 skip (int): Specifies the number of resources to skip in the response.. [optional] if omitted the server will use the default value of 0 select (str): Specifies a subset of properties to return.. [optional] if omitted the server will use the default value of "" expand (str): Specify additional attributes or related resources to return in addition to the primary resources.. [optional] apply (str): Specify one or more transformation operations to perform aggregation on the resources. The transformations are processed in order with the output from a transformation being used as input for the subsequent transformation. The \"$apply\" query takes a sequence of set transformations, separated by forward slashes to express that they are consecutively applied, i.e. the result of each transformation is the input to the next transformation. Supported aggregation methods are \"aggregate\" and \"groupby\". The **aggregate** transformation takes a comma-separated list of one or more aggregate expressions as parameters and returns a result set with a single instance, representing the aggregated value for all instances in the input set. The **groupby** transformation takes one or two parameters and 1. Splits the initial set into subsets where all instances in a subset have the same values for the grouping properties specified in the first parameter, 2. Applies set transformations to each subset according to the second parameter, resulting in a new set of potentially different structure and cardinality, 3. Ensures that the instances in the result set contain all grouping properties with the correct values for the group, 4. Concatenates the intermediate result sets into one result set. A groupby transformation affects the structure of the result set.. [optional] count (bool): The $count query specifies the service should return the count of the matching resources, instead of returning the resources.. [optional] inlinecount (str): The $inlinecount query option allows clients to request an inline count of the matching resources included with the resources in the response.. [optional] if omitted the server will use the default value of "allpages" at (str): Similar to \"$filter\", but \"at\" is specifically used to filter versioning information properties for resources to return. A URI with an \"at\" Query Option identifies a subset of the Entries from the Collection of Entries identified by the Resource Path section of the URI. The subset is determined by selecting only the Entries that satisfy the predicate expression specified by the query option. The expression language that is used in at operators supports references to properties and literals. The literal values can be strings enclosed in single quotes, numbers and boolean values (true or false) or any of the additional literal representations shown in the Abstract Type System section.. [optional] tags (str): The 'tags' parameter is used to request a summary of the Tag utilization for this resource. When the 'tags' parameter is specified, the response provides a list of tag keys, the number of times the key has been used across all documents, and the tag values that have been assigned to the tag key.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicFcIfResponse If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') return self.call_with_http_info(**kwargs) self.get_vnic_fc_if_list = _Endpoint( settings={ 'response_type': (VnicFcIfResponse,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/FcIfs', 'operation_id': 'get_vnic_fc_if_list', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'filter', 'orderby', 'top', 'skip', 'select', 'expand', 'apply', 'count', 'inlinecount', 'at', 'tags', ], 'required': [], 'nullable': [ ], 'enum': [ 'inlinecount', ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { ('inlinecount',): { "ALLPAGES": "allpages", "NONE": "none" }, }, 'openapi_types': { 'filter': (str,), 'orderby': (str,), 'top': (int,), 'skip': (int,), 'select': (str,), 'expand': (str,), 'apply': (str,), 'count': (bool,), 'inlinecount': (str,), 'at': (str,), 'tags': (str,), }, 'attribute_map': { 'filter': '$filter', 'orderby': '$orderby', 'top': '$top', 'skip': '$skip', 'select': '$select', 'expand': '$expand', 'apply': '$apply', 'count': '$count', 'inlinecount': '$inlinecount', 'at': 'at', 'tags': 'tags', }, 'location_map': { 'filter': 'query', 'orderby': 'query', 'top': 'query', 'skip': 'query', 'select': 'query', 'expand': 'query', 'apply': 'query', 'count': 'query', 'inlinecount': 'query', 'at': 'query', 'tags': 'query', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json', 'text/csv', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' ], 'content_type': [], }, api_client=api_client, callable=__get_vnic_fc_if_list ) def __get_vnic_fc_network_policy_by_moid( self, moid, **kwargs ): """Read a 'vnic.FcNetworkPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_vnic_fc_network_policy_by_moid(moid, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicFcNetworkPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid return self.call_with_http_info(**kwargs) self.get_vnic_fc_network_policy_by_moid = _Endpoint( settings={ 'response_type': (VnicFcNetworkPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/FcNetworkPolicies/{Moid}', 'operation_id': 'get_vnic_fc_network_policy_by_moid', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'moid', ], 'required': [ 'moid', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), }, 'attribute_map': { 'moid': 'Moid', }, 'location_map': { 'moid': 'path', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json', 'text/csv', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' ], 'content_type': [], }, api_client=api_client, callable=__get_vnic_fc_network_policy_by_moid ) def __get_vnic_fc_network_policy_list( self, **kwargs ): """Read a 'vnic.FcNetworkPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_vnic_fc_network_policy_list(async_req=True) >>> result = thread.get() Keyword Args: filter (str): Filter criteria for the resources to return. A URI with a $filter query option identifies a subset of the entries from the Collection of Entries. The subset is determined by selecting only the Entries that satisfy the predicate expression specified by the $filter option. The expression language that is used in $filter queries supports references to properties and literals. The literal values can be strings enclosed in single quotes, numbers and boolean values (true or false).. [optional] if omitted the server will use the default value of "" orderby (str): Determines what properties are used to sort the collection of resources.. [optional] top (int): Specifies the maximum number of resources to return in the response.. [optional] if omitted the server will use the default value of 100 skip (int): Specifies the number of resources to skip in the response.. [optional] if omitted the server will use the default value of 0 select (str): Specifies a subset of properties to return.. [optional] if omitted the server will use the default value of "" expand (str): Specify additional attributes or related resources to return in addition to the primary resources.. [optional] apply (str): Specify one or more transformation operations to perform aggregation on the resources. The transformations are processed in order with the output from a transformation being used as input for the subsequent transformation. The \"$apply\" query takes a sequence of set transformations, separated by forward slashes to express that they are consecutively applied, i.e. the result of each transformation is the input to the next transformation. Supported aggregation methods are \"aggregate\" and \"groupby\". The **aggregate** transformation takes a comma-separated list of one or more aggregate expressions as parameters and returns a result set with a single instance, representing the aggregated value for all instances in the input set. The **groupby** transformation takes one or two parameters and 1. Splits the initial set into subsets where all instances in a subset have the same values for the grouping properties specified in the first parameter, 2. Applies set transformations to each subset according to the second parameter, resulting in a new set of potentially different structure and cardinality, 3. Ensures that the instances in the result set contain all grouping properties with the correct values for the group, 4. Concatenates the intermediate result sets into one result set. A groupby transformation affects the structure of the result set.. [optional] count (bool): The $count query specifies the service should return the count of the matching resources, instead of returning the resources.. [optional] inlinecount (str): The $inlinecount query option allows clients to request an inline count of the matching resources included with the resources in the response.. [optional] if omitted the server will use the default value of "allpages" at (str): Similar to \"$filter\", but \"at\" is specifically used to filter versioning information properties for resources to return. A URI with an \"at\" Query Option identifies a subset of the Entries from the Collection of Entries identified by the Resource Path section of the URI. The subset is determined by selecting only the Entries that satisfy the predicate expression specified by the query option. The expression language that is used in at operators supports references to properties and literals. The literal values can be strings enclosed in single quotes, numbers and boolean values (true or false) or any of the additional literal representations shown in the Abstract Type System section.. [optional] tags (str): The 'tags' parameter is used to request a summary of the Tag utilization for this resource. When the 'tags' parameter is specified, the response provides a list of tag keys, the number of times the key has been used across all documents, and the tag values that have been assigned to the tag key.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicFcNetworkPolicyResponse If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') return self.call_with_http_info(**kwargs) self.get_vnic_fc_network_policy_list = _Endpoint( settings={ 'response_type': (VnicFcNetworkPolicyResponse,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/FcNetworkPolicies', 'operation_id': 'get_vnic_fc_network_policy_list', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'filter', 'orderby', 'top', 'skip', 'select', 'expand', 'apply', 'count', 'inlinecount', 'at', 'tags', ], 'required': [], 'nullable': [ ], 'enum': [ 'inlinecount', ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { ('inlinecount',): { "ALLPAGES": "allpages", "NONE": "none" }, }, 'openapi_types': { 'filter': (str,), 'orderby': (str,), 'top': (int,), 'skip': (int,), 'select': (str,), 'expand': (str,), 'apply': (str,), 'count': (bool,), 'inlinecount': (str,), 'at': (str,), 'tags': (str,), }, 'attribute_map': { 'filter': '$filter', 'orderby': '$orderby', 'top': '$top', 'skip': '$skip', 'select': '$select', 'expand': '$expand', 'apply': '$apply', 'count': '$count', 'inlinecount': '$inlinecount', 'at': 'at', 'tags': 'tags', }, 'location_map': { 'filter': 'query', 'orderby': 'query', 'top': 'query', 'skip': 'query', 'select': 'query', 'expand': 'query', 'apply': 'query', 'count': 'query', 'inlinecount': 'query', 'at': 'query', 'tags': 'query', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json', 'text/csv', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' ], 'content_type': [], }, api_client=api_client, callable=__get_vnic_fc_network_policy_list ) def __get_vnic_fc_qos_policy_by_moid( self, moid, **kwargs ): """Read a 'vnic.FcQosPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_vnic_fc_qos_policy_by_moid(moid, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicFcQosPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid return self.call_with_http_info(**kwargs) self.get_vnic_fc_qos_policy_by_moid = _Endpoint( settings={ 'response_type': (VnicFcQosPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/FcQosPolicies/{Moid}', 'operation_id': 'get_vnic_fc_qos_policy_by_moid', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'moid', ], 'required': [ 'moid', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), }, 'attribute_map': { 'moid': 'Moid', }, 'location_map': { 'moid': 'path', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json', 'text/csv', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' ], 'content_type': [], }, api_client=api_client, callable=__get_vnic_fc_qos_policy_by_moid ) def __get_vnic_fc_qos_policy_list( self, **kwargs ): """Read a 'vnic.FcQosPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_vnic_fc_qos_policy_list(async_req=True) >>> result = thread.get() Keyword Args: filter (str): Filter criteria for the resources to return. A URI with a $filter query option identifies a subset of the entries from the Collection of Entries. The subset is determined by selecting only the Entries that satisfy the predicate expression specified by the $filter option. The expression language that is used in $filter queries supports references to properties and literals. The literal values can be strings enclosed in single quotes, numbers and boolean values (true or false).. [optional] if omitted the server will use the default value of "" orderby (str): Determines what properties are used to sort the collection of resources.. [optional] top (int): Specifies the maximum number of resources to return in the response.. [optional] if omitted the server will use the default value of 100 skip (int): Specifies the number of resources to skip in the response.. [optional] if omitted the server will use the default value of 0 select (str): Specifies a subset of properties to return.. [optional] if omitted the server will use the default value of "" expand (str): Specify additional attributes or related resources to return in addition to the primary resources.. [optional] apply (str): Specify one or more transformation operations to perform aggregation on the resources. The transformations are processed in order with the output from a transformation being used as input for the subsequent transformation. The \"$apply\" query takes a sequence of set transformations, separated by forward slashes to express that they are consecutively applied, i.e. the result of each transformation is the input to the next transformation. Supported aggregation methods are \"aggregate\" and \"groupby\". The **aggregate** transformation takes a comma-separated list of one or more aggregate expressions as parameters and returns a result set with a single instance, representing the aggregated value for all instances in the input set. The **groupby** transformation takes one or two parameters and 1. Splits the initial set into subsets where all instances in a subset have the same values for the grouping properties specified in the first parameter, 2. Applies set transformations to each subset according to the second parameter, resulting in a new set of potentially different structure and cardinality, 3. Ensures that the instances in the result set contain all grouping properties with the correct values for the group, 4. Concatenates the intermediate result sets into one result set. A groupby transformation affects the structure of the result set.. [optional] count (bool): The $count query specifies the service should return the count of the matching resources, instead of returning the resources.. [optional] inlinecount (str): The $inlinecount query option allows clients to request an inline count of the matching resources included with the resources in the response.. [optional] if omitted the server will use the default value of "allpages" at (str): Similar to \"$filter\", but \"at\" is specifically used to filter versioning information properties for resources to return. A URI with an \"at\" Query Option identifies a subset of the Entries from the Collection of Entries identified by the Resource Path section of the URI. The subset is determined by selecting only the Entries that satisfy the predicate expression specified by the query option. The expression language that is used in at operators supports references to properties and literals. The literal values can be strings enclosed in single quotes, numbers and boolean values (true or false) or any of the additional literal representations shown in the Abstract Type System section.. [optional] tags (str): The 'tags' parameter is used to request a summary of the Tag utilization for this resource. When the 'tags' parameter is specified, the response provides a list of tag keys, the number of times the key has been used across all documents, and the tag values that have been assigned to the tag key.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicFcQosPolicyResponse If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') return self.call_with_http_info(**kwargs) self.get_vnic_fc_qos_policy_list = _Endpoint( settings={ 'response_type': (VnicFcQosPolicyResponse,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/FcQosPolicies', 'operation_id': 'get_vnic_fc_qos_policy_list', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'filter', 'orderby', 'top', 'skip', 'select', 'expand', 'apply', 'count', 'inlinecount', 'at', 'tags', ], 'required': [], 'nullable': [ ], 'enum': [ 'inlinecount', ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { ('inlinecount',): { "ALLPAGES": "allpages", "NONE": "none" }, }, 'openapi_types': { 'filter': (str,), 'orderby': (str,), 'top': (int,), 'skip': (int,), 'select': (str,), 'expand': (str,), 'apply': (str,), 'count': (bool,), 'inlinecount': (str,), 'at': (str,), 'tags': (str,), }, 'attribute_map': { 'filter': '$filter', 'orderby': '$orderby', 'top': '$top', 'skip': '$skip', 'select': '$select', 'expand': '$expand', 'apply': '$apply', 'count': '$count', 'inlinecount': '$inlinecount', 'at': 'at', 'tags': 'tags', }, 'location_map': { 'filter': 'query', 'orderby': 'query', 'top': 'query', 'skip': 'query', 'select': 'query', 'expand': 'query', 'apply': 'query', 'count': 'query', 'inlinecount': 'query', 'at': 'query', 'tags': 'query', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json', 'text/csv', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' ], 'content_type': [], }, api_client=api_client, callable=__get_vnic_fc_qos_policy_list ) def __get_vnic_iscsi_adapter_policy_by_moid( self, moid, **kwargs ): """Read a 'vnic.IscsiAdapterPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_vnic_iscsi_adapter_policy_by_moid(moid, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicIscsiAdapterPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid return self.call_with_http_info(**kwargs) self.get_vnic_iscsi_adapter_policy_by_moid = _Endpoint( settings={ 'response_type': (VnicIscsiAdapterPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/IscsiAdapterPolicies/{Moid}', 'operation_id': 'get_vnic_iscsi_adapter_policy_by_moid', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'moid', ], 'required': [ 'moid', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), }, 'attribute_map': { 'moid': 'Moid', }, 'location_map': { 'moid': 'path', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json', 'text/csv', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' ], 'content_type': [], }, api_client=api_client, callable=__get_vnic_iscsi_adapter_policy_by_moid ) def __get_vnic_iscsi_adapter_policy_list( self, **kwargs ): """Read a 'vnic.IscsiAdapterPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_vnic_iscsi_adapter_policy_list(async_req=True) >>> result = thread.get() Keyword Args: filter (str): Filter criteria for the resources to return. A URI with a $filter query option identifies a subset of the entries from the Collection of Entries. The subset is determined by selecting only the Entries that satisfy the predicate expression specified by the $filter option. The expression language that is used in $filter queries supports references to properties and literals. The literal values can be strings enclosed in single quotes, numbers and boolean values (true or false).. [optional] if omitted the server will use the default value of "" orderby (str): Determines what properties are used to sort the collection of resources.. [optional] top (int): Specifies the maximum number of resources to return in the response.. [optional] if omitted the server will use the default value of 100 skip (int): Specifies the number of resources to skip in the response.. [optional] if omitted the server will use the default value of 0 select (str): Specifies a subset of properties to return.. [optional] if omitted the server will use the default value of "" expand (str): Specify additional attributes or related resources to return in addition to the primary resources.. [optional] apply (str): Specify one or more transformation operations to perform aggregation on the resources. The transformations are processed in order with the output from a transformation being used as input for the subsequent transformation. The \"$apply\" query takes a sequence of set transformations, separated by forward slashes to express that they are consecutively applied, i.e. the result of each transformation is the input to the next transformation. Supported aggregation methods are \"aggregate\" and \"groupby\". The **aggregate** transformation takes a comma-separated list of one or more aggregate expressions as parameters and returns a result set with a single instance, representing the aggregated value for all instances in the input set. The **groupby** transformation takes one or two parameters and 1. Splits the initial set into subsets where all instances in a subset have the same values for the grouping properties specified in the first parameter, 2. Applies set transformations to each subset according to the second parameter, resulting in a new set of potentially different structure and cardinality, 3. Ensures that the instances in the result set contain all grouping properties with the correct values for the group, 4. Concatenates the intermediate result sets into one result set. A groupby transformation affects the structure of the result set.. [optional] count (bool): The $count query specifies the service should return the count of the matching resources, instead of returning the resources.. [optional] inlinecount (str): The $inlinecount query option allows clients to request an inline count of the matching resources included with the resources in the response.. [optional] if omitted the server will use the default value of "allpages" at (str): Similar to \"$filter\", but \"at\" is specifically used to filter versioning information properties for resources to return. A URI with an \"at\" Query Option identifies a subset of the Entries from the Collection of Entries identified by the Resource Path section of the URI. The subset is determined by selecting only the Entries that satisfy the predicate expression specified by the query option. The expression language that is used in at operators supports references to properties and literals. The literal values can be strings enclosed in single quotes, numbers and boolean values (true or false) or any of the additional literal representations shown in the Abstract Type System section.. [optional] tags (str): The 'tags' parameter is used to request a summary of the Tag utilization for this resource. When the 'tags' parameter is specified, the response provides a list of tag keys, the number of times the key has been used across all documents, and the tag values that have been assigned to the tag key.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicIscsiAdapterPolicyResponse If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') return self.call_with_http_info(**kwargs) self.get_vnic_iscsi_adapter_policy_list = _Endpoint( settings={ 'response_type': (VnicIscsiAdapterPolicyResponse,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/IscsiAdapterPolicies', 'operation_id': 'get_vnic_iscsi_adapter_policy_list', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'filter', 'orderby', 'top', 'skip', 'select', 'expand', 'apply', 'count', 'inlinecount', 'at', 'tags', ], 'required': [], 'nullable': [ ], 'enum': [ 'inlinecount', ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { ('inlinecount',): { "ALLPAGES": "allpages", "NONE": "none" }, }, 'openapi_types': { 'filter': (str,), 'orderby': (str,), 'top': (int,), 'skip': (int,), 'select': (str,), 'expand': (str,), 'apply': (str,), 'count': (bool,), 'inlinecount': (str,), 'at': (str,), 'tags': (str,), }, 'attribute_map': { 'filter': '$filter', 'orderby': '$orderby', 'top': '$top', 'skip': '$skip', 'select': '$select', 'expand': '$expand', 'apply': '$apply', 'count': '$count', 'inlinecount': '$inlinecount', 'at': 'at', 'tags': 'tags', }, 'location_map': { 'filter': 'query', 'orderby': 'query', 'top': 'query', 'skip': 'query', 'select': 'query', 'expand': 'query', 'apply': 'query', 'count': 'query', 'inlinecount': 'query', 'at': 'query', 'tags': 'query', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json', 'text/csv', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' ], 'content_type': [], }, api_client=api_client, callable=__get_vnic_iscsi_adapter_policy_list ) def __get_vnic_iscsi_boot_policy_by_moid( self, moid, **kwargs ): """Read a 'vnic.IscsiBootPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_vnic_iscsi_boot_policy_by_moid(moid, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicIscsiBootPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid return self.call_with_http_info(**kwargs) self.get_vnic_iscsi_boot_policy_by_moid = _Endpoint( settings={ 'response_type': (VnicIscsiBootPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/IscsiBootPolicies/{Moid}', 'operation_id': 'get_vnic_iscsi_boot_policy_by_moid', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'moid', ], 'required': [ 'moid', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), }, 'attribute_map': { 'moid': 'Moid', }, 'location_map': { 'moid': 'path', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json', 'text/csv', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' ], 'content_type': [], }, api_client=api_client, callable=__get_vnic_iscsi_boot_policy_by_moid ) def __get_vnic_iscsi_boot_policy_list( self, **kwargs ): """Read a 'vnic.IscsiBootPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_vnic_iscsi_boot_policy_list(async_req=True) >>> result = thread.get() Keyword Args: filter (str): Filter criteria for the resources to return. A URI with a $filter query option identifies a subset of the entries from the Collection of Entries. The subset is determined by selecting only the Entries that satisfy the predicate expression specified by the $filter option. The expression language that is used in $filter queries supports references to properties and literals. The literal values can be strings enclosed in single quotes, numbers and boolean values (true or false).. [optional] if omitted the server will use the default value of "" orderby (str): Determines what properties are used to sort the collection of resources.. [optional] top (int): Specifies the maximum number of resources to return in the response.. [optional] if omitted the server will use the default value of 100 skip (int): Specifies the number of resources to skip in the response.. [optional] if omitted the server will use the default value of 0 select (str): Specifies a subset of properties to return.. [optional] if omitted the server will use the default value of "" expand (str): Specify additional attributes or related resources to return in addition to the primary resources.. [optional] apply (str): Specify one or more transformation operations to perform aggregation on the resources. The transformations are processed in order with the output from a transformation being used as input for the subsequent transformation. The \"$apply\" query takes a sequence of set transformations, separated by forward slashes to express that they are consecutively applied, i.e. the result of each transformation is the input to the next transformation. Supported aggregation methods are \"aggregate\" and \"groupby\". The **aggregate** transformation takes a comma-separated list of one or more aggregate expressions as parameters and returns a result set with a single instance, representing the aggregated value for all instances in the input set. The **groupby** transformation takes one or two parameters and 1. Splits the initial set into subsets where all instances in a subset have the same values for the grouping properties specified in the first parameter, 2. Applies set transformations to each subset according to the second parameter, resulting in a new set of potentially different structure and cardinality, 3. Ensures that the instances in the result set contain all grouping properties with the correct values for the group, 4. Concatenates the intermediate result sets into one result set. A groupby transformation affects the structure of the result set.. [optional] count (bool): The $count query specifies the service should return the count of the matching resources, instead of returning the resources.. [optional] inlinecount (str): The $inlinecount query option allows clients to request an inline count of the matching resources included with the resources in the response.. [optional] if omitted the server will use the default value of "allpages" at (str): Similar to \"$filter\", but \"at\" is specifically used to filter versioning information properties for resources to return. A URI with an \"at\" Query Option identifies a subset of the Entries from the Collection of Entries identified by the Resource Path section of the URI. The subset is determined by selecting only the Entries that satisfy the predicate expression specified by the query option. The expression language that is used in at operators supports references to properties and literals. The literal values can be strings enclosed in single quotes, numbers and boolean values (true or false) or any of the additional literal representations shown in the Abstract Type System section.. [optional] tags (str): The 'tags' parameter is used to request a summary of the Tag utilization for this resource. When the 'tags' parameter is specified, the response provides a list of tag keys, the number of times the key has been used across all documents, and the tag values that have been assigned to the tag key.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicIscsiBootPolicyResponse If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') return self.call_with_http_info(**kwargs) self.get_vnic_iscsi_boot_policy_list = _Endpoint( settings={ 'response_type': (VnicIscsiBootPolicyResponse,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/IscsiBootPolicies', 'operation_id': 'get_vnic_iscsi_boot_policy_list', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'filter', 'orderby', 'top', 'skip', 'select', 'expand', 'apply', 'count', 'inlinecount', 'at', 'tags', ], 'required': [], 'nullable': [ ], 'enum': [ 'inlinecount', ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { ('inlinecount',): { "ALLPAGES": "allpages", "NONE": "none" }, }, 'openapi_types': { 'filter': (str,), 'orderby': (str,), 'top': (int,), 'skip': (int,), 'select': (str,), 'expand': (str,), 'apply': (str,), 'count': (bool,), 'inlinecount': (str,), 'at': (str,), 'tags': (str,), }, 'attribute_map': { 'filter': '$filter', 'orderby': '$orderby', 'top': '$top', 'skip': '$skip', 'select': '$select', 'expand': '$expand', 'apply': '$apply', 'count': '$count', 'inlinecount': '$inlinecount', 'at': 'at', 'tags': 'tags', }, 'location_map': { 'filter': 'query', 'orderby': 'query', 'top': 'query', 'skip': 'query', 'select': 'query', 'expand': 'query', 'apply': 'query', 'count': 'query', 'inlinecount': 'query', 'at': 'query', 'tags': 'query', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json', 'text/csv', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' ], 'content_type': [], }, api_client=api_client, callable=__get_vnic_iscsi_boot_policy_list ) def __get_vnic_iscsi_static_target_policy_by_moid( self, moid, **kwargs ): """Read a 'vnic.IscsiStaticTargetPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_vnic_iscsi_static_target_policy_by_moid(moid, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicIscsiStaticTargetPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid return self.call_with_http_info(**kwargs) self.get_vnic_iscsi_static_target_policy_by_moid = _Endpoint( settings={ 'response_type': (VnicIscsiStaticTargetPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/IscsiStaticTargetPolicies/{Moid}', 'operation_id': 'get_vnic_iscsi_static_target_policy_by_moid', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'moid', ], 'required': [ 'moid', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), }, 'attribute_map': { 'moid': 'Moid', }, 'location_map': { 'moid': 'path', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json', 'text/csv', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' ], 'content_type': [], }, api_client=api_client, callable=__get_vnic_iscsi_static_target_policy_by_moid ) def __get_vnic_iscsi_static_target_policy_list( self, **kwargs ): """Read a 'vnic.IscsiStaticTargetPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_vnic_iscsi_static_target_policy_list(async_req=True) >>> result = thread.get() Keyword Args: filter (str): Filter criteria for the resources to return. A URI with a $filter query option identifies a subset of the entries from the Collection of Entries. The subset is determined by selecting only the Entries that satisfy the predicate expression specified by the $filter option. The expression language that is used in $filter queries supports references to properties and literals. The literal values can be strings enclosed in single quotes, numbers and boolean values (true or false).. [optional] if omitted the server will use the default value of "" orderby (str): Determines what properties are used to sort the collection of resources.. [optional] top (int): Specifies the maximum number of resources to return in the response.. [optional] if omitted the server will use the default value of 100 skip (int): Specifies the number of resources to skip in the response.. [optional] if omitted the server will use the default value of 0 select (str): Specifies a subset of properties to return.. [optional] if omitted the server will use the default value of "" expand (str): Specify additional attributes or related resources to return in addition to the primary resources.. [optional] apply (str): Specify one or more transformation operations to perform aggregation on the resources. The transformations are processed in order with the output from a transformation being used as input for the subsequent transformation. The \"$apply\" query takes a sequence of set transformations, separated by forward slashes to express that they are consecutively applied, i.e. the result of each transformation is the input to the next transformation. Supported aggregation methods are \"aggregate\" and \"groupby\". The **aggregate** transformation takes a comma-separated list of one or more aggregate expressions as parameters and returns a result set with a single instance, representing the aggregated value for all instances in the input set. The **groupby** transformation takes one or two parameters and 1. Splits the initial set into subsets where all instances in a subset have the same values for the grouping properties specified in the first parameter, 2. Applies set transformations to each subset according to the second parameter, resulting in a new set of potentially different structure and cardinality, 3. Ensures that the instances in the result set contain all grouping properties with the correct values for the group, 4. Concatenates the intermediate result sets into one result set. A groupby transformation affects the structure of the result set.. [optional] count (bool): The $count query specifies the service should return the count of the matching resources, instead of returning the resources.. [optional] inlinecount (str): The $inlinecount query option allows clients to request an inline count of the matching resources included with the resources in the response.. [optional] if omitted the server will use the default value of "allpages" at (str): Similar to \"$filter\", but \"at\" is specifically used to filter versioning information properties for resources to return. A URI with an \"at\" Query Option identifies a subset of the Entries from the Collection of Entries identified by the Resource Path section of the URI. The subset is determined by selecting only the Entries that satisfy the predicate expression specified by the query option. The expression language that is used in at operators supports references to properties and literals. The literal values can be strings enclosed in single quotes, numbers and boolean values (true or false) or any of the additional literal representations shown in the Abstract Type System section.. [optional] tags (str): The 'tags' parameter is used to request a summary of the Tag utilization for this resource. When the 'tags' parameter is specified, the response provides a list of tag keys, the number of times the key has been used across all documents, and the tag values that have been assigned to the tag key.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicIscsiStaticTargetPolicyResponse If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') return self.call_with_http_info(**kwargs) self.get_vnic_iscsi_static_target_policy_list = _Endpoint( settings={ 'response_type': (VnicIscsiStaticTargetPolicyResponse,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/IscsiStaticTargetPolicies', 'operation_id': 'get_vnic_iscsi_static_target_policy_list', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'filter', 'orderby', 'top', 'skip', 'select', 'expand', 'apply', 'count', 'inlinecount', 'at', 'tags', ], 'required': [], 'nullable': [ ], 'enum': [ 'inlinecount', ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { ('inlinecount',): { "ALLPAGES": "allpages", "NONE": "none" }, }, 'openapi_types': { 'filter': (str,), 'orderby': (str,), 'top': (int,), 'skip': (int,), 'select': (str,), 'expand': (str,), 'apply': (str,), 'count': (bool,), 'inlinecount': (str,), 'at': (str,), 'tags': (str,), }, 'attribute_map': { 'filter': '$filter', 'orderby': '$orderby', 'top': '$top', 'skip': '$skip', 'select': '$select', 'expand': '$expand', 'apply': '$apply', 'count': '$count', 'inlinecount': '$inlinecount', 'at': 'at', 'tags': 'tags', }, 'location_map': { 'filter': 'query', 'orderby': 'query', 'top': 'query', 'skip': 'query', 'select': 'query', 'expand': 'query', 'apply': 'query', 'count': 'query', 'inlinecount': 'query', 'at': 'query', 'tags': 'query', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json', 'text/csv', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' ], 'content_type': [], }, api_client=api_client, callable=__get_vnic_iscsi_static_target_policy_list ) def __get_vnic_lan_connectivity_policy_by_moid( self, moid, **kwargs ): """Read a 'vnic.LanConnectivityPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_vnic_lan_connectivity_policy_by_moid(moid, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicLanConnectivityPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid return self.call_with_http_info(**kwargs) self.get_vnic_lan_connectivity_policy_by_moid = _Endpoint( settings={ 'response_type': (VnicLanConnectivityPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/LanConnectivityPolicies/{Moid}', 'operation_id': 'get_vnic_lan_connectivity_policy_by_moid', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'moid', ], 'required': [ 'moid', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), }, 'attribute_map': { 'moid': 'Moid', }, 'location_map': { 'moid': 'path', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json', 'text/csv', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' ], 'content_type': [], }, api_client=api_client, callable=__get_vnic_lan_connectivity_policy_by_moid ) def __get_vnic_lan_connectivity_policy_list( self, **kwargs ): """Read a 'vnic.LanConnectivityPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_vnic_lan_connectivity_policy_list(async_req=True) >>> result = thread.get() Keyword Args: filter (str): Filter criteria for the resources to return. A URI with a $filter query option identifies a subset of the entries from the Collection of Entries. The subset is determined by selecting only the Entries that satisfy the predicate expression specified by the $filter option. The expression language that is used in $filter queries supports references to properties and literals. The literal values can be strings enclosed in single quotes, numbers and boolean values (true or false).. [optional] if omitted the server will use the default value of "" orderby (str): Determines what properties are used to sort the collection of resources.. [optional] top (int): Specifies the maximum number of resources to return in the response.. [optional] if omitted the server will use the default value of 100 skip (int): Specifies the number of resources to skip in the response.. [optional] if omitted the server will use the default value of 0 select (str): Specifies a subset of properties to return.. [optional] if omitted the server will use the default value of "" expand (str): Specify additional attributes or related resources to return in addition to the primary resources.. [optional] apply (str): Specify one or more transformation operations to perform aggregation on the resources. The transformations are processed in order with the output from a transformation being used as input for the subsequent transformation. The \"$apply\" query takes a sequence of set transformations, separated by forward slashes to express that they are consecutively applied, i.e. the result of each transformation is the input to the next transformation. Supported aggregation methods are \"aggregate\" and \"groupby\". The **aggregate** transformation takes a comma-separated list of one or more aggregate expressions as parameters and returns a result set with a single instance, representing the aggregated value for all instances in the input set. The **groupby** transformation takes one or two parameters and 1. Splits the initial set into subsets where all instances in a subset have the same values for the grouping properties specified in the first parameter, 2. Applies set transformations to each subset according to the second parameter, resulting in a new set of potentially different structure and cardinality, 3. Ensures that the instances in the result set contain all grouping properties with the correct values for the group, 4. Concatenates the intermediate result sets into one result set. A groupby transformation affects the structure of the result set.. [optional] count (bool): The $count query specifies the service should return the count of the matching resources, instead of returning the resources.. [optional] inlinecount (str): The $inlinecount query option allows clients to request an inline count of the matching resources included with the resources in the response.. [optional] if omitted the server will use the default value of "allpages" at (str): Similar to \"$filter\", but \"at\" is specifically used to filter versioning information properties for resources to return. A URI with an \"at\" Query Option identifies a subset of the Entries from the Collection of Entries identified by the Resource Path section of the URI. The subset is determined by selecting only the Entries that satisfy the predicate expression specified by the query option. The expression language that is used in at operators supports references to properties and literals. The literal values can be strings enclosed in single quotes, numbers and boolean values (true or false) or any of the additional literal representations shown in the Abstract Type System section.. [optional] tags (str): The 'tags' parameter is used to request a summary of the Tag utilization for this resource. When the 'tags' parameter is specified, the response provides a list of tag keys, the number of times the key has been used across all documents, and the tag values that have been assigned to the tag key.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicLanConnectivityPolicyResponse If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') return self.call_with_http_info(**kwargs) self.get_vnic_lan_connectivity_policy_list = _Endpoint( settings={ 'response_type': (VnicLanConnectivityPolicyResponse,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/LanConnectivityPolicies', 'operation_id': 'get_vnic_lan_connectivity_policy_list', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'filter', 'orderby', 'top', 'skip', 'select', 'expand', 'apply', 'count', 'inlinecount', 'at', 'tags', ], 'required': [], 'nullable': [ ], 'enum': [ 'inlinecount', ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { ('inlinecount',): { "ALLPAGES": "allpages", "NONE": "none" }, }, 'openapi_types': { 'filter': (str,), 'orderby': (str,), 'top': (int,), 'skip': (int,), 'select': (str,), 'expand': (str,), 'apply': (str,), 'count': (bool,), 'inlinecount': (str,), 'at': (str,), 'tags': (str,), }, 'attribute_map': { 'filter': '$filter', 'orderby': '$orderby', 'top': '$top', 'skip': '$skip', 'select': '$select', 'expand': '$expand', 'apply': '$apply', 'count': '$count', 'inlinecount': '$inlinecount', 'at': 'at', 'tags': 'tags', }, 'location_map': { 'filter': 'query', 'orderby': 'query', 'top': 'query', 'skip': 'query', 'select': 'query', 'expand': 'query', 'apply': 'query', 'count': 'query', 'inlinecount': 'query', 'at': 'query', 'tags': 'query', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json', 'text/csv', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' ], 'content_type': [], }, api_client=api_client, callable=__get_vnic_lan_connectivity_policy_list ) def __get_vnic_lcp_status_by_moid( self, moid, **kwargs ): """Read a 'vnic.LcpStatus' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_vnic_lcp_status_by_moid(moid, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicLcpStatus If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid return self.call_with_http_info(**kwargs) self.get_vnic_lcp_status_by_moid = _Endpoint( settings={ 'response_type': (VnicLcpStatus,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/LcpStatuses/{Moid}', 'operation_id': 'get_vnic_lcp_status_by_moid', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'moid', ], 'required': [ 'moid', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), }, 'attribute_map': { 'moid': 'Moid', }, 'location_map': { 'moid': 'path', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json', 'text/csv', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' ], 'content_type': [], }, api_client=api_client, callable=__get_vnic_lcp_status_by_moid ) def __get_vnic_lcp_status_list( self, **kwargs ): """Read a 'vnic.LcpStatus' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_vnic_lcp_status_list(async_req=True) >>> result = thread.get() Keyword Args: filter (str): Filter criteria for the resources to return. A URI with a $filter query option identifies a subset of the entries from the Collection of Entries. The subset is determined by selecting only the Entries that satisfy the predicate expression specified by the $filter option. The expression language that is used in $filter queries supports references to properties and literals. The literal values can be strings enclosed in single quotes, numbers and boolean values (true or false).. [optional] if omitted the server will use the default value of "" orderby (str): Determines what properties are used to sort the collection of resources.. [optional] top (int): Specifies the maximum number of resources to return in the response.. [optional] if omitted the server will use the default value of 100 skip (int): Specifies the number of resources to skip in the response.. [optional] if omitted the server will use the default value of 0 select (str): Specifies a subset of properties to return.. [optional] if omitted the server will use the default value of "" expand (str): Specify additional attributes or related resources to return in addition to the primary resources.. [optional] apply (str): Specify one or more transformation operations to perform aggregation on the resources. The transformations are processed in order with the output from a transformation being used as input for the subsequent transformation. The \"$apply\" query takes a sequence of set transformations, separated by forward slashes to express that they are consecutively applied, i.e. the result of each transformation is the input to the next transformation. Supported aggregation methods are \"aggregate\" and \"groupby\". The **aggregate** transformation takes a comma-separated list of one or more aggregate expressions as parameters and returns a result set with a single instance, representing the aggregated value for all instances in the input set. The **groupby** transformation takes one or two parameters and 1. Splits the initial set into subsets where all instances in a subset have the same values for the grouping properties specified in the first parameter, 2. Applies set transformations to each subset according to the second parameter, resulting in a new set of potentially different structure and cardinality, 3. Ensures that the instances in the result set contain all grouping properties with the correct values for the group, 4. Concatenates the intermediate result sets into one result set. A groupby transformation affects the structure of the result set.. [optional] count (bool): The $count query specifies the service should return the count of the matching resources, instead of returning the resources.. [optional] inlinecount (str): The $inlinecount query option allows clients to request an inline count of the matching resources included with the resources in the response.. [optional] if omitted the server will use the default value of "allpages" at (str): Similar to \"$filter\", but \"at\" is specifically used to filter versioning information properties for resources to return. A URI with an \"at\" Query Option identifies a subset of the Entries from the Collection of Entries identified by the Resource Path section of the URI. The subset is determined by selecting only the Entries that satisfy the predicate expression specified by the query option. The expression language that is used in at operators supports references to properties and literals. The literal values can be strings enclosed in single quotes, numbers and boolean values (true or false) or any of the additional literal representations shown in the Abstract Type System section.. [optional] tags (str): The 'tags' parameter is used to request a summary of the Tag utilization for this resource. When the 'tags' parameter is specified, the response provides a list of tag keys, the number of times the key has been used across all documents, and the tag values that have been assigned to the tag key.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicLcpStatusResponse If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') return self.call_with_http_info(**kwargs) self.get_vnic_lcp_status_list = _Endpoint( settings={ 'response_type': (VnicLcpStatusResponse,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/LcpStatuses', 'operation_id': 'get_vnic_lcp_status_list', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'filter', 'orderby', 'top', 'skip', 'select', 'expand', 'apply', 'count', 'inlinecount', 'at', 'tags', ], 'required': [], 'nullable': [ ], 'enum': [ 'inlinecount', ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { ('inlinecount',): { "ALLPAGES": "allpages", "NONE": "none" }, }, 'openapi_types': { 'filter': (str,), 'orderby': (str,), 'top': (int,), 'skip': (int,), 'select': (str,), 'expand': (str,), 'apply': (str,), 'count': (bool,), 'inlinecount': (str,), 'at': (str,), 'tags': (str,), }, 'attribute_map': { 'filter': '$filter', 'orderby': '$orderby', 'top': '$top', 'skip': '$skip', 'select': '$select', 'expand': '$expand', 'apply': '$apply', 'count': '$count', 'inlinecount': '$inlinecount', 'at': 'at', 'tags': 'tags', }, 'location_map': { 'filter': 'query', 'orderby': 'query', 'top': 'query', 'skip': 'query', 'select': 'query', 'expand': 'query', 'apply': 'query', 'count': 'query', 'inlinecount': 'query', 'at': 'query', 'tags': 'query', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json', 'text/csv', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' ], 'content_type': [], }, api_client=api_client, callable=__get_vnic_lcp_status_list ) def __get_vnic_san_connectivity_policy_by_moid( self, moid, **kwargs ): """Read a 'vnic.SanConnectivityPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_vnic_san_connectivity_policy_by_moid(moid, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicSanConnectivityPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid return self.call_with_http_info(**kwargs) self.get_vnic_san_connectivity_policy_by_moid = _Endpoint( settings={ 'response_type': (VnicSanConnectivityPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/SanConnectivityPolicies/{Moid}', 'operation_id': 'get_vnic_san_connectivity_policy_by_moid', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'moid', ], 'required': [ 'moid', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), }, 'attribute_map': { 'moid': 'Moid', }, 'location_map': { 'moid': 'path', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json', 'text/csv', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' ], 'content_type': [], }, api_client=api_client, callable=__get_vnic_san_connectivity_policy_by_moid ) def __get_vnic_san_connectivity_policy_list( self, **kwargs ): """Read a 'vnic.SanConnectivityPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_vnic_san_connectivity_policy_list(async_req=True) >>> result = thread.get() Keyword Args: filter (str): Filter criteria for the resources to return. A URI with a $filter query option identifies a subset of the entries from the Collection of Entries. The subset is determined by selecting only the Entries that satisfy the predicate expression specified by the $filter option. The expression language that is used in $filter queries supports references to properties and literals. The literal values can be strings enclosed in single quotes, numbers and boolean values (true or false).. [optional] if omitted the server will use the default value of "" orderby (str): Determines what properties are used to sort the collection of resources.. [optional] top (int): Specifies the maximum number of resources to return in the response.. [optional] if omitted the server will use the default value of 100 skip (int): Specifies the number of resources to skip in the response.. [optional] if omitted the server will use the default value of 0 select (str): Specifies a subset of properties to return.. [optional] if omitted the server will use the default value of "" expand (str): Specify additional attributes or related resources to return in addition to the primary resources.. [optional] apply (str): Specify one or more transformation operations to perform aggregation on the resources. The transformations are processed in order with the output from a transformation being used as input for the subsequent transformation. The \"$apply\" query takes a sequence of set transformations, separated by forward slashes to express that they are consecutively applied, i.e. the result of each transformation is the input to the next transformation. Supported aggregation methods are \"aggregate\" and \"groupby\". The **aggregate** transformation takes a comma-separated list of one or more aggregate expressions as parameters and returns a result set with a single instance, representing the aggregated value for all instances in the input set. The **groupby** transformation takes one or two parameters and 1. Splits the initial set into subsets where all instances in a subset have the same values for the grouping properties specified in the first parameter, 2. Applies set transformations to each subset according to the second parameter, resulting in a new set of potentially different structure and cardinality, 3. Ensures that the instances in the result set contain all grouping properties with the correct values for the group, 4. Concatenates the intermediate result sets into one result set. A groupby transformation affects the structure of the result set.. [optional] count (bool): The $count query specifies the service should return the count of the matching resources, instead of returning the resources.. [optional] inlinecount (str): The $inlinecount query option allows clients to request an inline count of the matching resources included with the resources in the response.. [optional] if omitted the server will use the default value of "allpages" at (str): Similar to \"$filter\", but \"at\" is specifically used to filter versioning information properties for resources to return. A URI with an \"at\" Query Option identifies a subset of the Entries from the Collection of Entries identified by the Resource Path section of the URI. The subset is determined by selecting only the Entries that satisfy the predicate expression specified by the query option. The expression language that is used in at operators supports references to properties and literals. The literal values can be strings enclosed in single quotes, numbers and boolean values (true or false) or any of the additional literal representations shown in the Abstract Type System section.. [optional] tags (str): The 'tags' parameter is used to request a summary of the Tag utilization for this resource. When the 'tags' parameter is specified, the response provides a list of tag keys, the number of times the key has been used across all documents, and the tag values that have been assigned to the tag key.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicSanConnectivityPolicyResponse If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') return self.call_with_http_info(**kwargs) self.get_vnic_san_connectivity_policy_list = _Endpoint( settings={ 'response_type': (VnicSanConnectivityPolicyResponse,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/SanConnectivityPolicies', 'operation_id': 'get_vnic_san_connectivity_policy_list', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'filter', 'orderby', 'top', 'skip', 'select', 'expand', 'apply', 'count', 'inlinecount', 'at', 'tags', ], 'required': [], 'nullable': [ ], 'enum': [ 'inlinecount', ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { ('inlinecount',): { "ALLPAGES": "allpages", "NONE": "none" }, }, 'openapi_types': { 'filter': (str,), 'orderby': (str,), 'top': (int,), 'skip': (int,), 'select': (str,), 'expand': (str,), 'apply': (str,), 'count': (bool,), 'inlinecount': (str,), 'at': (str,), 'tags': (str,), }, 'attribute_map': { 'filter': '$filter', 'orderby': '$orderby', 'top': '$top', 'skip': '$skip', 'select': '$select', 'expand': '$expand', 'apply': '$apply', 'count': '$count', 'inlinecount': '$inlinecount', 'at': 'at', 'tags': 'tags', }, 'location_map': { 'filter': 'query', 'orderby': 'query', 'top': 'query', 'skip': 'query', 'select': 'query', 'expand': 'query', 'apply': 'query', 'count': 'query', 'inlinecount': 'query', 'at': 'query', 'tags': 'query', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json', 'text/csv', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' ], 'content_type': [], }, api_client=api_client, callable=__get_vnic_san_connectivity_policy_list ) def __get_vnic_scp_status_by_moid( self, moid, **kwargs ): """Read a 'vnic.ScpStatus' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_vnic_scp_status_by_moid(moid, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicScpStatus If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid return self.call_with_http_info(**kwargs) self.get_vnic_scp_status_by_moid = _Endpoint( settings={ 'response_type': (VnicScpStatus,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/ScpStatuses/{Moid}', 'operation_id': 'get_vnic_scp_status_by_moid', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'moid', ], 'required': [ 'moid', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), }, 'attribute_map': { 'moid': 'Moid', }, 'location_map': { 'moid': 'path', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json', 'text/csv', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' ], 'content_type': [], }, api_client=api_client, callable=__get_vnic_scp_status_by_moid ) def __get_vnic_scp_status_list( self, **kwargs ): """Read a 'vnic.ScpStatus' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_vnic_scp_status_list(async_req=True) >>> result = thread.get() Keyword Args: filter (str): Filter criteria for the resources to return. A URI with a $filter query option identifies a subset of the entries from the Collection of Entries. The subset is determined by selecting only the Entries that satisfy the predicate expression specified by the $filter option. The expression language that is used in $filter queries supports references to properties and literals. The literal values can be strings enclosed in single quotes, numbers and boolean values (true or false).. [optional] if omitted the server will use the default value of "" orderby (str): Determines what properties are used to sort the collection of resources.. [optional] top (int): Specifies the maximum number of resources to return in the response.. [optional] if omitted the server will use the default value of 100 skip (int): Specifies the number of resources to skip in the response.. [optional] if omitted the server will use the default value of 0 select (str): Specifies a subset of properties to return.. [optional] if omitted the server will use the default value of "" expand (str): Specify additional attributes or related resources to return in addition to the primary resources.. [optional] apply (str): Specify one or more transformation operations to perform aggregation on the resources. The transformations are processed in order with the output from a transformation being used as input for the subsequent transformation. The \"$apply\" query takes a sequence of set transformations, separated by forward slashes to express that they are consecutively applied, i.e. the result of each transformation is the input to the next transformation. Supported aggregation methods are \"aggregate\" and \"groupby\". The **aggregate** transformation takes a comma-separated list of one or more aggregate expressions as parameters and returns a result set with a single instance, representing the aggregated value for all instances in the input set. The **groupby** transformation takes one or two parameters and 1. Splits the initial set into subsets where all instances in a subset have the same values for the grouping properties specified in the first parameter, 2. Applies set transformations to each subset according to the second parameter, resulting in a new set of potentially different structure and cardinality, 3. Ensures that the instances in the result set contain all grouping properties with the correct values for the group, 4. Concatenates the intermediate result sets into one result set. A groupby transformation affects the structure of the result set.. [optional] count (bool): The $count query specifies the service should return the count of the matching resources, instead of returning the resources.. [optional] inlinecount (str): The $inlinecount query option allows clients to request an inline count of the matching resources included with the resources in the response.. [optional] if omitted the server will use the default value of "allpages" at (str): Similar to \"$filter\", but \"at\" is specifically used to filter versioning information properties for resources to return. A URI with an \"at\" Query Option identifies a subset of the Entries from the Collection of Entries identified by the Resource Path section of the URI. The subset is determined by selecting only the Entries that satisfy the predicate expression specified by the query option. The expression language that is used in at operators supports references to properties and literals. The literal values can be strings enclosed in single quotes, numbers and boolean values (true or false) or any of the additional literal representations shown in the Abstract Type System section.. [optional] tags (str): The 'tags' parameter is used to request a summary of the Tag utilization for this resource. When the 'tags' parameter is specified, the response provides a list of tag keys, the number of times the key has been used across all documents, and the tag values that have been assigned to the tag key.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicScpStatusResponse If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') return self.call_with_http_info(**kwargs) self.get_vnic_scp_status_list = _Endpoint( settings={ 'response_type': (VnicScpStatusResponse,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/ScpStatuses', 'operation_id': 'get_vnic_scp_status_list', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'filter', 'orderby', 'top', 'skip', 'select', 'expand', 'apply', 'count', 'inlinecount', 'at', 'tags', ], 'required': [], 'nullable': [ ], 'enum': [ 'inlinecount', ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { ('inlinecount',): { "ALLPAGES": "allpages", "NONE": "none" }, }, 'openapi_types': { 'filter': (str,), 'orderby': (str,), 'top': (int,), 'skip': (int,), 'select': (str,), 'expand': (str,), 'apply': (str,), 'count': (bool,), 'inlinecount': (str,), 'at': (str,), 'tags': (str,), }, 'attribute_map': { 'filter': '$filter', 'orderby': '$orderby', 'top': '$top', 'skip': '$skip', 'select': '$select', 'expand': '$expand', 'apply': '$apply', 'count': '$count', 'inlinecount': '$inlinecount', 'at': 'at', 'tags': 'tags', }, 'location_map': { 'filter': 'query', 'orderby': 'query', 'top': 'query', 'skip': 'query', 'select': 'query', 'expand': 'query', 'apply': 'query', 'count': 'query', 'inlinecount': 'query', 'at': 'query', 'tags': 'query', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json', 'text/csv', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' ], 'content_type': [], }, api_client=api_client, callable=__get_vnic_scp_status_list ) def __patch_vnic_eth_adapter_policy( self, moid, vnic_eth_adapter_policy, **kwargs ): """Update a 'vnic.EthAdapterPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_vnic_eth_adapter_policy(moid, vnic_eth_adapter_policy, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. vnic_eth_adapter_policy (VnicEthAdapterPolicy): The 'vnic.EthAdapterPolicy' resource to update. Keyword Args: if_match (str): For methods that apply server-side changes, and in particular for PUT, If-Match can be used to prevent the lost update problem. It can check if the modification of a resource that the user wants to upload will not override another change that has been done since the original resource was fetched. If the request cannot be fulfilled, the 412 (Precondition Failed) response is returned. When modifying a resource using POST or PUT, the If-Match header must be set to the value of the resource ModTime property after which no lost update problem should occur. For example, a client send a GET request to obtain a resource, which includes the ModTime property. The ModTime indicates the last time the resource was created or modified. The client then sends a POST or PUT request with the If-Match header set to the ModTime property of the resource as obtained in the GET request.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicEthAdapterPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid kwargs['vnic_eth_adapter_policy'] = \ vnic_eth_adapter_policy return self.call_with_http_info(**kwargs) self.patch_vnic_eth_adapter_policy = _Endpoint( settings={ 'response_type': (VnicEthAdapterPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/EthAdapterPolicies/{Moid}', 'operation_id': 'patch_vnic_eth_adapter_policy', 'http_method': 'PATCH', 'servers': None, }, params_map={ 'all': [ 'moid', 'vnic_eth_adapter_policy', 'if_match', ], 'required': [ 'moid', 'vnic_eth_adapter_policy', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), 'vnic_eth_adapter_policy': (VnicEthAdapterPolicy,), 'if_match': (str,), }, 'attribute_map': { 'moid': 'Moid', 'if_match': 'If-Match', }, 'location_map': { 'moid': 'path', 'vnic_eth_adapter_policy': 'body', 'if_match': 'header', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json', 'application/json-patch+json' ] }, api_client=api_client, callable=__patch_vnic_eth_adapter_policy ) def __patch_vnic_eth_if( self, moid, vnic_eth_if, **kwargs ): """Update a 'vnic.EthIf' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_vnic_eth_if(moid, vnic_eth_if, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. vnic_eth_if (VnicEthIf): The 'vnic.EthIf' resource to update. Keyword Args: if_match (str): For methods that apply server-side changes, and in particular for PUT, If-Match can be used to prevent the lost update problem. It can check if the modification of a resource that the user wants to upload will not override another change that has been done since the original resource was fetched. If the request cannot be fulfilled, the 412 (Precondition Failed) response is returned. When modifying a resource using POST or PUT, the If-Match header must be set to the value of the resource ModTime property after which no lost update problem should occur. For example, a client send a GET request to obtain a resource, which includes the ModTime property. The ModTime indicates the last time the resource was created or modified. The client then sends a POST or PUT request with the If-Match header set to the ModTime property of the resource as obtained in the GET request.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicEthIf If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid kwargs['vnic_eth_if'] = \ vnic_eth_if return self.call_with_http_info(**kwargs) self.patch_vnic_eth_if = _Endpoint( settings={ 'response_type': (VnicEthIf,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/EthIfs/{Moid}', 'operation_id': 'patch_vnic_eth_if', 'http_method': 'PATCH', 'servers': None, }, params_map={ 'all': [ 'moid', 'vnic_eth_if', 'if_match', ], 'required': [ 'moid', 'vnic_eth_if', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), 'vnic_eth_if': (VnicEthIf,), 'if_match': (str,), }, 'attribute_map': { 'moid': 'Moid', 'if_match': 'If-Match', }, 'location_map': { 'moid': 'path', 'vnic_eth_if': 'body', 'if_match': 'header', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json', 'application/json-patch+json' ] }, api_client=api_client, callable=__patch_vnic_eth_if ) def __patch_vnic_eth_network_policy( self, moid, vnic_eth_network_policy, **kwargs ): """Update a 'vnic.EthNetworkPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_vnic_eth_network_policy(moid, vnic_eth_network_policy, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. vnic_eth_network_policy (VnicEthNetworkPolicy): The 'vnic.EthNetworkPolicy' resource to update. Keyword Args: if_match (str): For methods that apply server-side changes, and in particular for PUT, If-Match can be used to prevent the lost update problem. It can check if the modification of a resource that the user wants to upload will not override another change that has been done since the original resource was fetched. If the request cannot be fulfilled, the 412 (Precondition Failed) response is returned. When modifying a resource using POST or PUT, the If-Match header must be set to the value of the resource ModTime property after which no lost update problem should occur. For example, a client send a GET request to obtain a resource, which includes the ModTime property. The ModTime indicates the last time the resource was created or modified. The client then sends a POST or PUT request with the If-Match header set to the ModTime property of the resource as obtained in the GET request.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicEthNetworkPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid kwargs['vnic_eth_network_policy'] = \ vnic_eth_network_policy return self.call_with_http_info(**kwargs) self.patch_vnic_eth_network_policy = _Endpoint( settings={ 'response_type': (VnicEthNetworkPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/EthNetworkPolicies/{Moid}', 'operation_id': 'patch_vnic_eth_network_policy', 'http_method': 'PATCH', 'servers': None, }, params_map={ 'all': [ 'moid', 'vnic_eth_network_policy', 'if_match', ], 'required': [ 'moid', 'vnic_eth_network_policy', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), 'vnic_eth_network_policy': (VnicEthNetworkPolicy,), 'if_match': (str,), }, 'attribute_map': { 'moid': 'Moid', 'if_match': 'If-Match', }, 'location_map': { 'moid': 'path', 'vnic_eth_network_policy': 'body', 'if_match': 'header', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json', 'application/json-patch+json' ] }, api_client=api_client, callable=__patch_vnic_eth_network_policy ) def __patch_vnic_eth_qos_policy( self, moid, vnic_eth_qos_policy, **kwargs ): """Update a 'vnic.EthQosPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_vnic_eth_qos_policy(moid, vnic_eth_qos_policy, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. vnic_eth_qos_policy (VnicEthQosPolicy): The 'vnic.EthQosPolicy' resource to update. Keyword Args: if_match (str): For methods that apply server-side changes, and in particular for PUT, If-Match can be used to prevent the lost update problem. It can check if the modification of a resource that the user wants to upload will not override another change that has been done since the original resource was fetched. If the request cannot be fulfilled, the 412 (Precondition Failed) response is returned. When modifying a resource using POST or PUT, the If-Match header must be set to the value of the resource ModTime property after which no lost update problem should occur. For example, a client send a GET request to obtain a resource, which includes the ModTime property. The ModTime indicates the last time the resource was created or modified. The client then sends a POST or PUT request with the If-Match header set to the ModTime property of the resource as obtained in the GET request.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicEthQosPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid kwargs['vnic_eth_qos_policy'] = \ vnic_eth_qos_policy return self.call_with_http_info(**kwargs) self.patch_vnic_eth_qos_policy = _Endpoint( settings={ 'response_type': (VnicEthQosPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/EthQosPolicies/{Moid}', 'operation_id': 'patch_vnic_eth_qos_policy', 'http_method': 'PATCH', 'servers': None, }, params_map={ 'all': [ 'moid', 'vnic_eth_qos_policy', 'if_match', ], 'required': [ 'moid', 'vnic_eth_qos_policy', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), 'vnic_eth_qos_policy': (VnicEthQosPolicy,), 'if_match': (str,), }, 'attribute_map': { 'moid': 'Moid', 'if_match': 'If-Match', }, 'location_map': { 'moid': 'path', 'vnic_eth_qos_policy': 'body', 'if_match': 'header', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json', 'application/json-patch+json' ] }, api_client=api_client, callable=__patch_vnic_eth_qos_policy ) def __patch_vnic_fc_adapter_policy( self, moid, vnic_fc_adapter_policy, **kwargs ): """Update a 'vnic.FcAdapterPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_vnic_fc_adapter_policy(moid, vnic_fc_adapter_policy, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. vnic_fc_adapter_policy (VnicFcAdapterPolicy): The 'vnic.FcAdapterPolicy' resource to update. Keyword Args: if_match (str): For methods that apply server-side changes, and in particular for PUT, If-Match can be used to prevent the lost update problem. It can check if the modification of a resource that the user wants to upload will not override another change that has been done since the original resource was fetched. If the request cannot be fulfilled, the 412 (Precondition Failed) response is returned. When modifying a resource using POST or PUT, the If-Match header must be set to the value of the resource ModTime property after which no lost update problem should occur. For example, a client send a GET request to obtain a resource, which includes the ModTime property. The ModTime indicates the last time the resource was created or modified. The client then sends a POST or PUT request with the If-Match header set to the ModTime property of the resource as obtained in the GET request.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicFcAdapterPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid kwargs['vnic_fc_adapter_policy'] = \ vnic_fc_adapter_policy return self.call_with_http_info(**kwargs) self.patch_vnic_fc_adapter_policy = _Endpoint( settings={ 'response_type': (VnicFcAdapterPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/FcAdapterPolicies/{Moid}', 'operation_id': 'patch_vnic_fc_adapter_policy', 'http_method': 'PATCH', 'servers': None, }, params_map={ 'all': [ 'moid', 'vnic_fc_adapter_policy', 'if_match', ], 'required': [ 'moid', 'vnic_fc_adapter_policy', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), 'vnic_fc_adapter_policy': (VnicFcAdapterPolicy,), 'if_match': (str,), }, 'attribute_map': { 'moid': 'Moid', 'if_match': 'If-Match', }, 'location_map': { 'moid': 'path', 'vnic_fc_adapter_policy': 'body', 'if_match': 'header', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json', 'application/json-patch+json' ] }, api_client=api_client, callable=__patch_vnic_fc_adapter_policy ) def __patch_vnic_fc_if( self, moid, vnic_fc_if, **kwargs ): """Update a 'vnic.FcIf' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_vnic_fc_if(moid, vnic_fc_if, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. vnic_fc_if (VnicFcIf): The 'vnic.FcIf' resource to update. Keyword Args: if_match (str): For methods that apply server-side changes, and in particular for PUT, If-Match can be used to prevent the lost update problem. It can check if the modification of a resource that the user wants to upload will not override another change that has been done since the original resource was fetched. If the request cannot be fulfilled, the 412 (Precondition Failed) response is returned. When modifying a resource using POST or PUT, the If-Match header must be set to the value of the resource ModTime property after which no lost update problem should occur. For example, a client send a GET request to obtain a resource, which includes the ModTime property. The ModTime indicates the last time the resource was created or modified. The client then sends a POST or PUT request with the If-Match header set to the ModTime property of the resource as obtained in the GET request.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicFcIf If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid kwargs['vnic_fc_if'] = \ vnic_fc_if return self.call_with_http_info(**kwargs) self.patch_vnic_fc_if = _Endpoint( settings={ 'response_type': (VnicFcIf,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/FcIfs/{Moid}', 'operation_id': 'patch_vnic_fc_if', 'http_method': 'PATCH', 'servers': None, }, params_map={ 'all': [ 'moid', 'vnic_fc_if', 'if_match', ], 'required': [ 'moid', 'vnic_fc_if', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), 'vnic_fc_if': (VnicFcIf,), 'if_match': (str,), }, 'attribute_map': { 'moid': 'Moid', 'if_match': 'If-Match', }, 'location_map': { 'moid': 'path', 'vnic_fc_if': 'body', 'if_match': 'header', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json', 'application/json-patch+json' ] }, api_client=api_client, callable=__patch_vnic_fc_if ) def __patch_vnic_fc_network_policy( self, moid, vnic_fc_network_policy, **kwargs ): """Update a 'vnic.FcNetworkPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_vnic_fc_network_policy(moid, vnic_fc_network_policy, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. vnic_fc_network_policy (VnicFcNetworkPolicy): The 'vnic.FcNetworkPolicy' resource to update. Keyword Args: if_match (str): For methods that apply server-side changes, and in particular for PUT, If-Match can be used to prevent the lost update problem. It can check if the modification of a resource that the user wants to upload will not override another change that has been done since the original resource was fetched. If the request cannot be fulfilled, the 412 (Precondition Failed) response is returned. When modifying a resource using POST or PUT, the If-Match header must be set to the value of the resource ModTime property after which no lost update problem should occur. For example, a client send a GET request to obtain a resource, which includes the ModTime property. The ModTime indicates the last time the resource was created or modified. The client then sends a POST or PUT request with the If-Match header set to the ModTime property of the resource as obtained in the GET request.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicFcNetworkPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid kwargs['vnic_fc_network_policy'] = \ vnic_fc_network_policy return self.call_with_http_info(**kwargs) self.patch_vnic_fc_network_policy = _Endpoint( settings={ 'response_type': (VnicFcNetworkPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/FcNetworkPolicies/{Moid}', 'operation_id': 'patch_vnic_fc_network_policy', 'http_method': 'PATCH', 'servers': None, }, params_map={ 'all': [ 'moid', 'vnic_fc_network_policy', 'if_match', ], 'required': [ 'moid', 'vnic_fc_network_policy', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), 'vnic_fc_network_policy': (VnicFcNetworkPolicy,), 'if_match': (str,), }, 'attribute_map': { 'moid': 'Moid', 'if_match': 'If-Match', }, 'location_map': { 'moid': 'path', 'vnic_fc_network_policy': 'body', 'if_match': 'header', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json', 'application/json-patch+json' ] }, api_client=api_client, callable=__patch_vnic_fc_network_policy ) def __patch_vnic_fc_qos_policy( self, moid, vnic_fc_qos_policy, **kwargs ): """Update a 'vnic.FcQosPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_vnic_fc_qos_policy(moid, vnic_fc_qos_policy, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. vnic_fc_qos_policy (VnicFcQosPolicy): The 'vnic.FcQosPolicy' resource to update. Keyword Args: if_match (str): For methods that apply server-side changes, and in particular for PUT, If-Match can be used to prevent the lost update problem. It can check if the modification of a resource that the user wants to upload will not override another change that has been done since the original resource was fetched. If the request cannot be fulfilled, the 412 (Precondition Failed) response is returned. When modifying a resource using POST or PUT, the If-Match header must be set to the value of the resource ModTime property after which no lost update problem should occur. For example, a client send a GET request to obtain a resource, which includes the ModTime property. The ModTime indicates the last time the resource was created or modified. The client then sends a POST or PUT request with the If-Match header set to the ModTime property of the resource as obtained in the GET request.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicFcQosPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid kwargs['vnic_fc_qos_policy'] = \ vnic_fc_qos_policy return self.call_with_http_info(**kwargs) self.patch_vnic_fc_qos_policy = _Endpoint( settings={ 'response_type': (VnicFcQosPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/FcQosPolicies/{Moid}', 'operation_id': 'patch_vnic_fc_qos_policy', 'http_method': 'PATCH', 'servers': None, }, params_map={ 'all': [ 'moid', 'vnic_fc_qos_policy', 'if_match', ], 'required': [ 'moid', 'vnic_fc_qos_policy', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), 'vnic_fc_qos_policy': (VnicFcQosPolicy,), 'if_match': (str,), }, 'attribute_map': { 'moid': 'Moid', 'if_match': 'If-Match', }, 'location_map': { 'moid': 'path', 'vnic_fc_qos_policy': 'body', 'if_match': 'header', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json', 'application/json-patch+json' ] }, api_client=api_client, callable=__patch_vnic_fc_qos_policy ) def __patch_vnic_iscsi_adapter_policy( self, moid, vnic_iscsi_adapter_policy, **kwargs ): """Update a 'vnic.IscsiAdapterPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_vnic_iscsi_adapter_policy(moid, vnic_iscsi_adapter_policy, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. vnic_iscsi_adapter_policy (VnicIscsiAdapterPolicy): The 'vnic.IscsiAdapterPolicy' resource to update. Keyword Args: if_match (str): For methods that apply server-side changes, and in particular for PUT, If-Match can be used to prevent the lost update problem. It can check if the modification of a resource that the user wants to upload will not override another change that has been done since the original resource was fetched. If the request cannot be fulfilled, the 412 (Precondition Failed) response is returned. When modifying a resource using POST or PUT, the If-Match header must be set to the value of the resource ModTime property after which no lost update problem should occur. For example, a client send a GET request to obtain a resource, which includes the ModTime property. The ModTime indicates the last time the resource was created or modified. The client then sends a POST or PUT request with the If-Match header set to the ModTime property of the resource as obtained in the GET request.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicIscsiAdapterPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid kwargs['vnic_iscsi_adapter_policy'] = \ vnic_iscsi_adapter_policy return self.call_with_http_info(**kwargs) self.patch_vnic_iscsi_adapter_policy = _Endpoint( settings={ 'response_type': (VnicIscsiAdapterPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/IscsiAdapterPolicies/{Moid}', 'operation_id': 'patch_vnic_iscsi_adapter_policy', 'http_method': 'PATCH', 'servers': None, }, params_map={ 'all': [ 'moid', 'vnic_iscsi_adapter_policy', 'if_match', ], 'required': [ 'moid', 'vnic_iscsi_adapter_policy', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), 'vnic_iscsi_adapter_policy': (VnicIscsiAdapterPolicy,), 'if_match': (str,), }, 'attribute_map': { 'moid': 'Moid', 'if_match': 'If-Match', }, 'location_map': { 'moid': 'path', 'vnic_iscsi_adapter_policy': 'body', 'if_match': 'header', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json', 'application/json-patch+json' ] }, api_client=api_client, callable=__patch_vnic_iscsi_adapter_policy ) def __patch_vnic_iscsi_boot_policy( self, moid, vnic_iscsi_boot_policy, **kwargs ): """Update a 'vnic.IscsiBootPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_vnic_iscsi_boot_policy(moid, vnic_iscsi_boot_policy, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. vnic_iscsi_boot_policy (VnicIscsiBootPolicy): The 'vnic.IscsiBootPolicy' resource to update. Keyword Args: if_match (str): For methods that apply server-side changes, and in particular for PUT, If-Match can be used to prevent the lost update problem. It can check if the modification of a resource that the user wants to upload will not override another change that has been done since the original resource was fetched. If the request cannot be fulfilled, the 412 (Precondition Failed) response is returned. When modifying a resource using POST or PUT, the If-Match header must be set to the value of the resource ModTime property after which no lost update problem should occur. For example, a client send a GET request to obtain a resource, which includes the ModTime property. The ModTime indicates the last time the resource was created or modified. The client then sends a POST or PUT request with the If-Match header set to the ModTime property of the resource as obtained in the GET request.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicIscsiBootPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid kwargs['vnic_iscsi_boot_policy'] = \ vnic_iscsi_boot_policy return self.call_with_http_info(**kwargs) self.patch_vnic_iscsi_boot_policy = _Endpoint( settings={ 'response_type': (VnicIscsiBootPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/IscsiBootPolicies/{Moid}', 'operation_id': 'patch_vnic_iscsi_boot_policy', 'http_method': 'PATCH', 'servers': None, }, params_map={ 'all': [ 'moid', 'vnic_iscsi_boot_policy', 'if_match', ], 'required': [ 'moid', 'vnic_iscsi_boot_policy', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), 'vnic_iscsi_boot_policy': (VnicIscsiBootPolicy,), 'if_match': (str,), }, 'attribute_map': { 'moid': 'Moid', 'if_match': 'If-Match', }, 'location_map': { 'moid': 'path', 'vnic_iscsi_boot_policy': 'body', 'if_match': 'header', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json', 'application/json-patch+json' ] }, api_client=api_client, callable=__patch_vnic_iscsi_boot_policy ) def __patch_vnic_iscsi_static_target_policy( self, moid, vnic_iscsi_static_target_policy, **kwargs ): """Update a 'vnic.IscsiStaticTargetPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_vnic_iscsi_static_target_policy(moid, vnic_iscsi_static_target_policy, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. vnic_iscsi_static_target_policy (VnicIscsiStaticTargetPolicy): The 'vnic.IscsiStaticTargetPolicy' resource to update. Keyword Args: if_match (str): For methods that apply server-side changes, and in particular for PUT, If-Match can be used to prevent the lost update problem. It can check if the modification of a resource that the user wants to upload will not override another change that has been done since the original resource was fetched. If the request cannot be fulfilled, the 412 (Precondition Failed) response is returned. When modifying a resource using POST or PUT, the If-Match header must be set to the value of the resource ModTime property after which no lost update problem should occur. For example, a client send a GET request to obtain a resource, which includes the ModTime property. The ModTime indicates the last time the resource was created or modified. The client then sends a POST or PUT request with the If-Match header set to the ModTime property of the resource as obtained in the GET request.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicIscsiStaticTargetPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid kwargs['vnic_iscsi_static_target_policy'] = \ vnic_iscsi_static_target_policy return self.call_with_http_info(**kwargs) self.patch_vnic_iscsi_static_target_policy = _Endpoint( settings={ 'response_type': (VnicIscsiStaticTargetPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/IscsiStaticTargetPolicies/{Moid}', 'operation_id': 'patch_vnic_iscsi_static_target_policy', 'http_method': 'PATCH', 'servers': None, }, params_map={ 'all': [ 'moid', 'vnic_iscsi_static_target_policy', 'if_match', ], 'required': [ 'moid', 'vnic_iscsi_static_target_policy', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), 'vnic_iscsi_static_target_policy': (VnicIscsiStaticTargetPolicy,), 'if_match': (str,), }, 'attribute_map': { 'moid': 'Moid', 'if_match': 'If-Match', }, 'location_map': { 'moid': 'path', 'vnic_iscsi_static_target_policy': 'body', 'if_match': 'header', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json', 'application/json-patch+json' ] }, api_client=api_client, callable=__patch_vnic_iscsi_static_target_policy ) def __patch_vnic_lan_connectivity_policy( self, moid, vnic_lan_connectivity_policy, **kwargs ): """Update a 'vnic.LanConnectivityPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_vnic_lan_connectivity_policy(moid, vnic_lan_connectivity_policy, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. vnic_lan_connectivity_policy (VnicLanConnectivityPolicy): The 'vnic.LanConnectivityPolicy' resource to update. Keyword Args: if_match (str): For methods that apply server-side changes, and in particular for PUT, If-Match can be used to prevent the lost update problem. It can check if the modification of a resource that the user wants to upload will not override another change that has been done since the original resource was fetched. If the request cannot be fulfilled, the 412 (Precondition Failed) response is returned. When modifying a resource using POST or PUT, the If-Match header must be set to the value of the resource ModTime property after which no lost update problem should occur. For example, a client send a GET request to obtain a resource, which includes the ModTime property. The ModTime indicates the last time the resource was created or modified. The client then sends a POST or PUT request with the If-Match header set to the ModTime property of the resource as obtained in the GET request.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicLanConnectivityPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid kwargs['vnic_lan_connectivity_policy'] = \ vnic_lan_connectivity_policy return self.call_with_http_info(**kwargs) self.patch_vnic_lan_connectivity_policy = _Endpoint( settings={ 'response_type': (VnicLanConnectivityPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/LanConnectivityPolicies/{Moid}', 'operation_id': 'patch_vnic_lan_connectivity_policy', 'http_method': 'PATCH', 'servers': None, }, params_map={ 'all': [ 'moid', 'vnic_lan_connectivity_policy', 'if_match', ], 'required': [ 'moid', 'vnic_lan_connectivity_policy', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), 'vnic_lan_connectivity_policy': (VnicLanConnectivityPolicy,), 'if_match': (str,), }, 'attribute_map': { 'moid': 'Moid', 'if_match': 'If-Match', }, 'location_map': { 'moid': 'path', 'vnic_lan_connectivity_policy': 'body', 'if_match': 'header', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json', 'application/json-patch+json' ] }, api_client=api_client, callable=__patch_vnic_lan_connectivity_policy ) def __patch_vnic_san_connectivity_policy( self, moid, vnic_san_connectivity_policy, **kwargs ): """Update a 'vnic.SanConnectivityPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_vnic_san_connectivity_policy(moid, vnic_san_connectivity_policy, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. vnic_san_connectivity_policy (VnicSanConnectivityPolicy): The 'vnic.SanConnectivityPolicy' resource to update. Keyword Args: if_match (str): For methods that apply server-side changes, and in particular for PUT, If-Match can be used to prevent the lost update problem. It can check if the modification of a resource that the user wants to upload will not override another change that has been done since the original resource was fetched. If the request cannot be fulfilled, the 412 (Precondition Failed) response is returned. When modifying a resource using POST or PUT, the If-Match header must be set to the value of the resource ModTime property after which no lost update problem should occur. For example, a client send a GET request to obtain a resource, which includes the ModTime property. The ModTime indicates the last time the resource was created or modified. The client then sends a POST or PUT request with the If-Match header set to the ModTime property of the resource as obtained in the GET request.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicSanConnectivityPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid kwargs['vnic_san_connectivity_policy'] = \ vnic_san_connectivity_policy return self.call_with_http_info(**kwargs) self.patch_vnic_san_connectivity_policy = _Endpoint( settings={ 'response_type': (VnicSanConnectivityPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/SanConnectivityPolicies/{Moid}', 'operation_id': 'patch_vnic_san_connectivity_policy', 'http_method': 'PATCH', 'servers': None, }, params_map={ 'all': [ 'moid', 'vnic_san_connectivity_policy', 'if_match', ], 'required': [ 'moid', 'vnic_san_connectivity_policy', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), 'vnic_san_connectivity_policy': (VnicSanConnectivityPolicy,), 'if_match': (str,), }, 'attribute_map': { 'moid': 'Moid', 'if_match': 'If-Match', }, 'location_map': { 'moid': 'path', 'vnic_san_connectivity_policy': 'body', 'if_match': 'header', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json', 'application/json-patch+json' ] }, api_client=api_client, callable=__patch_vnic_san_connectivity_policy ) def __update_vnic_eth_adapter_policy( self, moid, vnic_eth_adapter_policy, **kwargs ): """Update a 'vnic.EthAdapterPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_vnic_eth_adapter_policy(moid, vnic_eth_adapter_policy, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. vnic_eth_adapter_policy (VnicEthAdapterPolicy): The 'vnic.EthAdapterPolicy' resource to update. Keyword Args: if_match (str): For methods that apply server-side changes, and in particular for PUT, If-Match can be used to prevent the lost update problem. It can check if the modification of a resource that the user wants to upload will not override another change that has been done since the original resource was fetched. If the request cannot be fulfilled, the 412 (Precondition Failed) response is returned. When modifying a resource using POST or PUT, the If-Match header must be set to the value of the resource ModTime property after which no lost update problem should occur. For example, a client send a GET request to obtain a resource, which includes the ModTime property. The ModTime indicates the last time the resource was created or modified. The client then sends a POST or PUT request with the If-Match header set to the ModTime property of the resource as obtained in the GET request.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicEthAdapterPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid kwargs['vnic_eth_adapter_policy'] = \ vnic_eth_adapter_policy return self.call_with_http_info(**kwargs) self.update_vnic_eth_adapter_policy = _Endpoint( settings={ 'response_type': (VnicEthAdapterPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/EthAdapterPolicies/{Moid}', 'operation_id': 'update_vnic_eth_adapter_policy', 'http_method': 'POST', 'servers': None, }, params_map={ 'all': [ 'moid', 'vnic_eth_adapter_policy', 'if_match', ], 'required': [ 'moid', 'vnic_eth_adapter_policy', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), 'vnic_eth_adapter_policy': (VnicEthAdapterPolicy,), 'if_match': (str,), }, 'attribute_map': { 'moid': 'Moid', 'if_match': 'If-Match', }, 'location_map': { 'moid': 'path', 'vnic_eth_adapter_policy': 'body', 'if_match': 'header', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json', 'application/json-patch+json' ] }, api_client=api_client, callable=__update_vnic_eth_adapter_policy ) def __update_vnic_eth_if( self, moid, vnic_eth_if, **kwargs ): """Update a 'vnic.EthIf' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_vnic_eth_if(moid, vnic_eth_if, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. vnic_eth_if (VnicEthIf): The 'vnic.EthIf' resource to update. Keyword Args: if_match (str): For methods that apply server-side changes, and in particular for PUT, If-Match can be used to prevent the lost update problem. It can check if the modification of a resource that the user wants to upload will not override another change that has been done since the original resource was fetched. If the request cannot be fulfilled, the 412 (Precondition Failed) response is returned. When modifying a resource using POST or PUT, the If-Match header must be set to the value of the resource ModTime property after which no lost update problem should occur. For example, a client send a GET request to obtain a resource, which includes the ModTime property. The ModTime indicates the last time the resource was created or modified. The client then sends a POST or PUT request with the If-Match header set to the ModTime property of the resource as obtained in the GET request.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicEthIf If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid kwargs['vnic_eth_if'] = \ vnic_eth_if return self.call_with_http_info(**kwargs) self.update_vnic_eth_if = _Endpoint( settings={ 'response_type': (VnicEthIf,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/EthIfs/{Moid}', 'operation_id': 'update_vnic_eth_if', 'http_method': 'POST', 'servers': None, }, params_map={ 'all': [ 'moid', 'vnic_eth_if', 'if_match', ], 'required': [ 'moid', 'vnic_eth_if', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), 'vnic_eth_if': (VnicEthIf,), 'if_match': (str,), }, 'attribute_map': { 'moid': 'Moid', 'if_match': 'If-Match', }, 'location_map': { 'moid': 'path', 'vnic_eth_if': 'body', 'if_match': 'header', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json', 'application/json-patch+json' ] }, api_client=api_client, callable=__update_vnic_eth_if ) def __update_vnic_eth_network_policy( self, moid, vnic_eth_network_policy, **kwargs ): """Update a 'vnic.EthNetworkPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_vnic_eth_network_policy(moid, vnic_eth_network_policy, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. vnic_eth_network_policy (VnicEthNetworkPolicy): The 'vnic.EthNetworkPolicy' resource to update. Keyword Args: if_match (str): For methods that apply server-side changes, and in particular for PUT, If-Match can be used to prevent the lost update problem. It can check if the modification of a resource that the user wants to upload will not override another change that has been done since the original resource was fetched. If the request cannot be fulfilled, the 412 (Precondition Failed) response is returned. When modifying a resource using POST or PUT, the If-Match header must be set to the value of the resource ModTime property after which no lost update problem should occur. For example, a client send a GET request to obtain a resource, which includes the ModTime property. The ModTime indicates the last time the resource was created or modified. The client then sends a POST or PUT request with the If-Match header set to the ModTime property of the resource as obtained in the GET request.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicEthNetworkPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid kwargs['vnic_eth_network_policy'] = \ vnic_eth_network_policy return self.call_with_http_info(**kwargs) self.update_vnic_eth_network_policy = _Endpoint( settings={ 'response_type': (VnicEthNetworkPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/EthNetworkPolicies/{Moid}', 'operation_id': 'update_vnic_eth_network_policy', 'http_method': 'POST', 'servers': None, }, params_map={ 'all': [ 'moid', 'vnic_eth_network_policy', 'if_match', ], 'required': [ 'moid', 'vnic_eth_network_policy', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), 'vnic_eth_network_policy': (VnicEthNetworkPolicy,), 'if_match': (str,), }, 'attribute_map': { 'moid': 'Moid', 'if_match': 'If-Match', }, 'location_map': { 'moid': 'path', 'vnic_eth_network_policy': 'body', 'if_match': 'header', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json', 'application/json-patch+json' ] }, api_client=api_client, callable=__update_vnic_eth_network_policy ) def __update_vnic_eth_qos_policy( self, moid, vnic_eth_qos_policy, **kwargs ): """Update a 'vnic.EthQosPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_vnic_eth_qos_policy(moid, vnic_eth_qos_policy, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. vnic_eth_qos_policy (VnicEthQosPolicy): The 'vnic.EthQosPolicy' resource to update. Keyword Args: if_match (str): For methods that apply server-side changes, and in particular for PUT, If-Match can be used to prevent the lost update problem. It can check if the modification of a resource that the user wants to upload will not override another change that has been done since the original resource was fetched. If the request cannot be fulfilled, the 412 (Precondition Failed) response is returned. When modifying a resource using POST or PUT, the If-Match header must be set to the value of the resource ModTime property after which no lost update problem should occur. For example, a client send a GET request to obtain a resource, which includes the ModTime property. The ModTime indicates the last time the resource was created or modified. The client then sends a POST or PUT request with the If-Match header set to the ModTime property of the resource as obtained in the GET request.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicEthQosPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid kwargs['vnic_eth_qos_policy'] = \ vnic_eth_qos_policy return self.call_with_http_info(**kwargs) self.update_vnic_eth_qos_policy = _Endpoint( settings={ 'response_type': (VnicEthQosPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/EthQosPolicies/{Moid}', 'operation_id': 'update_vnic_eth_qos_policy', 'http_method': 'POST', 'servers': None, }, params_map={ 'all': [ 'moid', 'vnic_eth_qos_policy', 'if_match', ], 'required': [ 'moid', 'vnic_eth_qos_policy', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), 'vnic_eth_qos_policy': (VnicEthQosPolicy,), 'if_match': (str,), }, 'attribute_map': { 'moid': 'Moid', 'if_match': 'If-Match', }, 'location_map': { 'moid': 'path', 'vnic_eth_qos_policy': 'body', 'if_match': 'header', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json', 'application/json-patch+json' ] }, api_client=api_client, callable=__update_vnic_eth_qos_policy ) def __update_vnic_fc_adapter_policy( self, moid, vnic_fc_adapter_policy, **kwargs ): """Update a 'vnic.FcAdapterPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_vnic_fc_adapter_policy(moid, vnic_fc_adapter_policy, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. vnic_fc_adapter_policy (VnicFcAdapterPolicy): The 'vnic.FcAdapterPolicy' resource to update. Keyword Args: if_match (str): For methods that apply server-side changes, and in particular for PUT, If-Match can be used to prevent the lost update problem. It can check if the modification of a resource that the user wants to upload will not override another change that has been done since the original resource was fetched. If the request cannot be fulfilled, the 412 (Precondition Failed) response is returned. When modifying a resource using POST or PUT, the If-Match header must be set to the value of the resource ModTime property after which no lost update problem should occur. For example, a client send a GET request to obtain a resource, which includes the ModTime property. The ModTime indicates the last time the resource was created or modified. The client then sends a POST or PUT request with the If-Match header set to the ModTime property of the resource as obtained in the GET request.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicFcAdapterPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid kwargs['vnic_fc_adapter_policy'] = \ vnic_fc_adapter_policy return self.call_with_http_info(**kwargs) self.update_vnic_fc_adapter_policy = _Endpoint( settings={ 'response_type': (VnicFcAdapterPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/FcAdapterPolicies/{Moid}', 'operation_id': 'update_vnic_fc_adapter_policy', 'http_method': 'POST', 'servers': None, }, params_map={ 'all': [ 'moid', 'vnic_fc_adapter_policy', 'if_match', ], 'required': [ 'moid', 'vnic_fc_adapter_policy', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), 'vnic_fc_adapter_policy': (VnicFcAdapterPolicy,), 'if_match': (str,), }, 'attribute_map': { 'moid': 'Moid', 'if_match': 'If-Match', }, 'location_map': { 'moid': 'path', 'vnic_fc_adapter_policy': 'body', 'if_match': 'header', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json', 'application/json-patch+json' ] }, api_client=api_client, callable=__update_vnic_fc_adapter_policy ) def __update_vnic_fc_if( self, moid, vnic_fc_if, **kwargs ): """Update a 'vnic.FcIf' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_vnic_fc_if(moid, vnic_fc_if, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. vnic_fc_if (VnicFcIf): The 'vnic.FcIf' resource to update. Keyword Args: if_match (str): For methods that apply server-side changes, and in particular for PUT, If-Match can be used to prevent the lost update problem. It can check if the modification of a resource that the user wants to upload will not override another change that has been done since the original resource was fetched. If the request cannot be fulfilled, the 412 (Precondition Failed) response is returned. When modifying a resource using POST or PUT, the If-Match header must be set to the value of the resource ModTime property after which no lost update problem should occur. For example, a client send a GET request to obtain a resource, which includes the ModTime property. The ModTime indicates the last time the resource was created or modified. The client then sends a POST or PUT request with the If-Match header set to the ModTime property of the resource as obtained in the GET request.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicFcIf If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid kwargs['vnic_fc_if'] = \ vnic_fc_if return self.call_with_http_info(**kwargs) self.update_vnic_fc_if = _Endpoint( settings={ 'response_type': (VnicFcIf,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/FcIfs/{Moid}', 'operation_id': 'update_vnic_fc_if', 'http_method': 'POST', 'servers': None, }, params_map={ 'all': [ 'moid', 'vnic_fc_if', 'if_match', ], 'required': [ 'moid', 'vnic_fc_if', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), 'vnic_fc_if': (VnicFcIf,), 'if_match': (str,), }, 'attribute_map': { 'moid': 'Moid', 'if_match': 'If-Match', }, 'location_map': { 'moid': 'path', 'vnic_fc_if': 'body', 'if_match': 'header', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json', 'application/json-patch+json' ] }, api_client=api_client, callable=__update_vnic_fc_if ) def __update_vnic_fc_network_policy( self, moid, vnic_fc_network_policy, **kwargs ): """Update a 'vnic.FcNetworkPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_vnic_fc_network_policy(moid, vnic_fc_network_policy, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. vnic_fc_network_policy (VnicFcNetworkPolicy): The 'vnic.FcNetworkPolicy' resource to update. Keyword Args: if_match (str): For methods that apply server-side changes, and in particular for PUT, If-Match can be used to prevent the lost update problem. It can check if the modification of a resource that the user wants to upload will not override another change that has been done since the original resource was fetched. If the request cannot be fulfilled, the 412 (Precondition Failed) response is returned. When modifying a resource using POST or PUT, the If-Match header must be set to the value of the resource ModTime property after which no lost update problem should occur. For example, a client send a GET request to obtain a resource, which includes the ModTime property. The ModTime indicates the last time the resource was created or modified. The client then sends a POST or PUT request with the If-Match header set to the ModTime property of the resource as obtained in the GET request.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicFcNetworkPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid kwargs['vnic_fc_network_policy'] = \ vnic_fc_network_policy return self.call_with_http_info(**kwargs) self.update_vnic_fc_network_policy = _Endpoint( settings={ 'response_type': (VnicFcNetworkPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/FcNetworkPolicies/{Moid}', 'operation_id': 'update_vnic_fc_network_policy', 'http_method': 'POST', 'servers': None, }, params_map={ 'all': [ 'moid', 'vnic_fc_network_policy', 'if_match', ], 'required': [ 'moid', 'vnic_fc_network_policy', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), 'vnic_fc_network_policy': (VnicFcNetworkPolicy,), 'if_match': (str,), }, 'attribute_map': { 'moid': 'Moid', 'if_match': 'If-Match', }, 'location_map': { 'moid': 'path', 'vnic_fc_network_policy': 'body', 'if_match': 'header', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json', 'application/json-patch+json' ] }, api_client=api_client, callable=__update_vnic_fc_network_policy ) def __update_vnic_fc_qos_policy( self, moid, vnic_fc_qos_policy, **kwargs ): """Update a 'vnic.FcQosPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_vnic_fc_qos_policy(moid, vnic_fc_qos_policy, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. vnic_fc_qos_policy (VnicFcQosPolicy): The 'vnic.FcQosPolicy' resource to update. Keyword Args: if_match (str): For methods that apply server-side changes, and in particular for PUT, If-Match can be used to prevent the lost update problem. It can check if the modification of a resource that the user wants to upload will not override another change that has been done since the original resource was fetched. If the request cannot be fulfilled, the 412 (Precondition Failed) response is returned. When modifying a resource using POST or PUT, the If-Match header must be set to the value of the resource ModTime property after which no lost update problem should occur. For example, a client send a GET request to obtain a resource, which includes the ModTime property. The ModTime indicates the last time the resource was created or modified. The client then sends a POST or PUT request with the If-Match header set to the ModTime property of the resource as obtained in the GET request.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicFcQosPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid kwargs['vnic_fc_qos_policy'] = \ vnic_fc_qos_policy return self.call_with_http_info(**kwargs) self.update_vnic_fc_qos_policy = _Endpoint( settings={ 'response_type': (VnicFcQosPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/FcQosPolicies/{Moid}', 'operation_id': 'update_vnic_fc_qos_policy', 'http_method': 'POST', 'servers': None, }, params_map={ 'all': [ 'moid', 'vnic_fc_qos_policy', 'if_match', ], 'required': [ 'moid', 'vnic_fc_qos_policy', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), 'vnic_fc_qos_policy': (VnicFcQosPolicy,), 'if_match': (str,), }, 'attribute_map': { 'moid': 'Moid', 'if_match': 'If-Match', }, 'location_map': { 'moid': 'path', 'vnic_fc_qos_policy': 'body', 'if_match': 'header', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json', 'application/json-patch+json' ] }, api_client=api_client, callable=__update_vnic_fc_qos_policy ) def __update_vnic_iscsi_adapter_policy( self, moid, vnic_iscsi_adapter_policy, **kwargs ): """Update a 'vnic.IscsiAdapterPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_vnic_iscsi_adapter_policy(moid, vnic_iscsi_adapter_policy, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. vnic_iscsi_adapter_policy (VnicIscsiAdapterPolicy): The 'vnic.IscsiAdapterPolicy' resource to update. Keyword Args: if_match (str): For methods that apply server-side changes, and in particular for PUT, If-Match can be used to prevent the lost update problem. It can check if the modification of a resource that the user wants to upload will not override another change that has been done since the original resource was fetched. If the request cannot be fulfilled, the 412 (Precondition Failed) response is returned. When modifying a resource using POST or PUT, the If-Match header must be set to the value of the resource ModTime property after which no lost update problem should occur. For example, a client send a GET request to obtain a resource, which includes the ModTime property. The ModTime indicates the last time the resource was created or modified. The client then sends a POST or PUT request with the If-Match header set to the ModTime property of the resource as obtained in the GET request.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicIscsiAdapterPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid kwargs['vnic_iscsi_adapter_policy'] = \ vnic_iscsi_adapter_policy return self.call_with_http_info(**kwargs) self.update_vnic_iscsi_adapter_policy = _Endpoint( settings={ 'response_type': (VnicIscsiAdapterPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/IscsiAdapterPolicies/{Moid}', 'operation_id': 'update_vnic_iscsi_adapter_policy', 'http_method': 'POST', 'servers': None, }, params_map={ 'all': [ 'moid', 'vnic_iscsi_adapter_policy', 'if_match', ], 'required': [ 'moid', 'vnic_iscsi_adapter_policy', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), 'vnic_iscsi_adapter_policy': (VnicIscsiAdapterPolicy,), 'if_match': (str,), }, 'attribute_map': { 'moid': 'Moid', 'if_match': 'If-Match', }, 'location_map': { 'moid': 'path', 'vnic_iscsi_adapter_policy': 'body', 'if_match': 'header', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json', 'application/json-patch+json' ] }, api_client=api_client, callable=__update_vnic_iscsi_adapter_policy ) def __update_vnic_iscsi_boot_policy( self, moid, vnic_iscsi_boot_policy, **kwargs ): """Update a 'vnic.IscsiBootPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_vnic_iscsi_boot_policy(moid, vnic_iscsi_boot_policy, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. vnic_iscsi_boot_policy (VnicIscsiBootPolicy): The 'vnic.IscsiBootPolicy' resource to update. Keyword Args: if_match (str): For methods that apply server-side changes, and in particular for PUT, If-Match can be used to prevent the lost update problem. It can check if the modification of a resource that the user wants to upload will not override another change that has been done since the original resource was fetched. If the request cannot be fulfilled, the 412 (Precondition Failed) response is returned. When modifying a resource using POST or PUT, the If-Match header must be set to the value of the resource ModTime property after which no lost update problem should occur. For example, a client send a GET request to obtain a resource, which includes the ModTime property. The ModTime indicates the last time the resource was created or modified. The client then sends a POST or PUT request with the If-Match header set to the ModTime property of the resource as obtained in the GET request.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicIscsiBootPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid kwargs['vnic_iscsi_boot_policy'] = \ vnic_iscsi_boot_policy return self.call_with_http_info(**kwargs) self.update_vnic_iscsi_boot_policy = _Endpoint( settings={ 'response_type': (VnicIscsiBootPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/IscsiBootPolicies/{Moid}', 'operation_id': 'update_vnic_iscsi_boot_policy', 'http_method': 'POST', 'servers': None, }, params_map={ 'all': [ 'moid', 'vnic_iscsi_boot_policy', 'if_match', ], 'required': [ 'moid', 'vnic_iscsi_boot_policy', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), 'vnic_iscsi_boot_policy': (VnicIscsiBootPolicy,), 'if_match': (str,), }, 'attribute_map': { 'moid': 'Moid', 'if_match': 'If-Match', }, 'location_map': { 'moid': 'path', 'vnic_iscsi_boot_policy': 'body', 'if_match': 'header', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json', 'application/json-patch+json' ] }, api_client=api_client, callable=__update_vnic_iscsi_boot_policy ) def __update_vnic_iscsi_static_target_policy( self, moid, vnic_iscsi_static_target_policy, **kwargs ): """Update a 'vnic.IscsiStaticTargetPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_vnic_iscsi_static_target_policy(moid, vnic_iscsi_static_target_policy, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. vnic_iscsi_static_target_policy (VnicIscsiStaticTargetPolicy): The 'vnic.IscsiStaticTargetPolicy' resource to update. Keyword Args: if_match (str): For methods that apply server-side changes, and in particular for PUT, If-Match can be used to prevent the lost update problem. It can check if the modification of a resource that the user wants to upload will not override another change that has been done since the original resource was fetched. If the request cannot be fulfilled, the 412 (Precondition Failed) response is returned. When modifying a resource using POST or PUT, the If-Match header must be set to the value of the resource ModTime property after which no lost update problem should occur. For example, a client send a GET request to obtain a resource, which includes the ModTime property. The ModTime indicates the last time the resource was created or modified. The client then sends a POST or PUT request with the If-Match header set to the ModTime property of the resource as obtained in the GET request.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicIscsiStaticTargetPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid kwargs['vnic_iscsi_static_target_policy'] = \ vnic_iscsi_static_target_policy return self.call_with_http_info(**kwargs) self.update_vnic_iscsi_static_target_policy = _Endpoint( settings={ 'response_type': (VnicIscsiStaticTargetPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/IscsiStaticTargetPolicies/{Moid}', 'operation_id': 'update_vnic_iscsi_static_target_policy', 'http_method': 'POST', 'servers': None, }, params_map={ 'all': [ 'moid', 'vnic_iscsi_static_target_policy', 'if_match', ], 'required': [ 'moid', 'vnic_iscsi_static_target_policy', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), 'vnic_iscsi_static_target_policy': (VnicIscsiStaticTargetPolicy,), 'if_match': (str,), }, 'attribute_map': { 'moid': 'Moid', 'if_match': 'If-Match', }, 'location_map': { 'moid': 'path', 'vnic_iscsi_static_target_policy': 'body', 'if_match': 'header', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json', 'application/json-patch+json' ] }, api_client=api_client, callable=__update_vnic_iscsi_static_target_policy ) def __update_vnic_lan_connectivity_policy( self, moid, vnic_lan_connectivity_policy, **kwargs ): """Update a 'vnic.LanConnectivityPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_vnic_lan_connectivity_policy(moid, vnic_lan_connectivity_policy, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. vnic_lan_connectivity_policy (VnicLanConnectivityPolicy): The 'vnic.LanConnectivityPolicy' resource to update. Keyword Args: if_match (str): For methods that apply server-side changes, and in particular for PUT, If-Match can be used to prevent the lost update problem. It can check if the modification of a resource that the user wants to upload will not override another change that has been done since the original resource was fetched. If the request cannot be fulfilled, the 412 (Precondition Failed) response is returned. When modifying a resource using POST or PUT, the If-Match header must be set to the value of the resource ModTime property after which no lost update problem should occur. For example, a client send a GET request to obtain a resource, which includes the ModTime property. The ModTime indicates the last time the resource was created or modified. The client then sends a POST or PUT request with the If-Match header set to the ModTime property of the resource as obtained in the GET request.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicLanConnectivityPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid kwargs['vnic_lan_connectivity_policy'] = \ vnic_lan_connectivity_policy return self.call_with_http_info(**kwargs) self.update_vnic_lan_connectivity_policy = _Endpoint( settings={ 'response_type': (VnicLanConnectivityPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/LanConnectivityPolicies/{Moid}', 'operation_id': 'update_vnic_lan_connectivity_policy', 'http_method': 'POST', 'servers': None, }, params_map={ 'all': [ 'moid', 'vnic_lan_connectivity_policy', 'if_match', ], 'required': [ 'moid', 'vnic_lan_connectivity_policy', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), 'vnic_lan_connectivity_policy': (VnicLanConnectivityPolicy,), 'if_match': (str,), }, 'attribute_map': { 'moid': 'Moid', 'if_match': 'If-Match', }, 'location_map': { 'moid': 'path', 'vnic_lan_connectivity_policy': 'body', 'if_match': 'header', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json', 'application/json-patch+json' ] }, api_client=api_client, callable=__update_vnic_lan_connectivity_policy ) def __update_vnic_san_connectivity_policy( self, moid, vnic_san_connectivity_policy, **kwargs ): """Update a 'vnic.SanConnectivityPolicy' resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_vnic_san_connectivity_policy(moid, vnic_san_connectivity_policy, async_req=True) >>> result = thread.get() Args: moid (str): The unique Moid identifier of a resource instance. vnic_san_connectivity_policy (VnicSanConnectivityPolicy): The 'vnic.SanConnectivityPolicy' resource to update. Keyword Args: if_match (str): For methods that apply server-side changes, and in particular for PUT, If-Match can be used to prevent the lost update problem. It can check if the modification of a resource that the user wants to upload will not override another change that has been done since the original resource was fetched. If the request cannot be fulfilled, the 412 (Precondition Failed) response is returned. When modifying a resource using POST or PUT, the If-Match header must be set to the value of the resource ModTime property after which no lost update problem should occur. For example, a client send a GET request to obtain a resource, which includes the ModTime property. The ModTime indicates the last time the resource was created or modified. The client then sends a POST or PUT request with the If-Match header set to the ModTime property of the resource as obtained in the GET request.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: VnicSanConnectivityPolicy If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['moid'] = \ moid kwargs['vnic_san_connectivity_policy'] = \ vnic_san_connectivity_policy return self.call_with_http_info(**kwargs) self.update_vnic_san_connectivity_policy = _Endpoint( settings={ 'response_type': (VnicSanConnectivityPolicy,), 'auth': [ 'cookieAuth', 'http_signature', 'oAuth2', 'oAuth2' ], 'endpoint_path': '/api/v1/vnic/SanConnectivityPolicies/{Moid}', 'operation_id': 'update_vnic_san_connectivity_policy', 'http_method': 'POST', 'servers': None, }, params_map={ 'all': [ 'moid', 'vnic_san_connectivity_policy', 'if_match', ], 'required': [ 'moid', 'vnic_san_connectivity_policy', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'moid': (str,), 'vnic_san_connectivity_policy': (VnicSanConnectivityPolicy,), 'if_match': (str,), }, 'attribute_map': { 'moid': 'Moid', 'if_match': 'If-Match', }, 'location_map': { 'moid': 'path', 'vnic_san_connectivity_policy': 'body', 'if_match': 'header', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json', 'application/json-patch+json' ] }, api_client=api_client, callable=__update_vnic_san_connectivity_policy )

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0.985515

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0.961566

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0

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0.41365

533,451

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0

1

0

1

0

1

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null

0

8

e48267dcbc986936fd4644351aeb92e20dfb2c95

7,141

py

Python

frontend_tests/happy_scenarios.py

mickypaganini/everware

7f86838b4d3692336f191ea62dc4a7f00951503a

[ "BSD-3-Clause" ]

1

2021-01-06T00:31:10.000Z

frontend_tests/happy_scenarios.py

mickypaganini/everware

7f86838b4d3692336f191ea62dc4a7f00951503a

[ "BSD-3-Clause" ]

null

frontend_tests/happy_scenarios.py

mickypaganini/everware

7f86838b4d3692336f191ea62dc4a7f00951503a

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- from selenium.webdriver.common.by import By from selenium.webdriver.common.keys import Keys def scenario_x(user): driver = user.get_driver() print(user.driver_type) def scenario_short(user): driver = user.get_driver() driver.get(user.base_url + "/hub/login") user.log("login") driver.find_element_by_id("username_input").clear() driver.find_element_by_id("username_input").send_keys(user.login) driver.find_element_by_id("password_input").clear() driver.find_element_by_id("password_input").send_keys(user.password) driver.find_element_by_id("login_submit").click() user.wait_for_element_present(By.ID, "start") driver.find_element_by_id("logout").click() user.log("logout clicked") def scenario_short_bad(user): driver = user.get_driver() driver.get(user.base_url + "/hub/login") user.log("login") driver.find_element_by_id("username_input").clear() driver.find_element_by_id("username_input").send_keys(user.login) driver.find_element_by_id("password_input").clear() driver.find_element_by_id("password_input").send_keys(user.password) driver.find_element_by_id("login_submit").click() user.wait_for_element_present(By.ID, "start1") driver.find_element_by_id("logout").click() user.log("logout clicked") def scenario_full(user): driver = user.get_driver() driver.get(user.base_url + "/hub/login") user.log("login") driver.find_element_by_id("username_input").clear() driver.find_element_by_id("username_input").send_keys(user.login) driver.find_element_by_id("password_input").clear() driver.find_element_by_id("password_input").send_keys(user.password) driver.find_element_by_id("login_submit").click() user.wait_for_element_present(By.ID, "start") driver.find_element_by_id("start").click() user.wait_for_element_present(By.ID, "repository_input") driver.find_element_by_id("repository_input").clear() driver.find_element_by_id("repository_input").send_keys(user.repo) driver.find_element_by_xpath("//input[@value='Spawn']").click() user.log("spawn clicked") user.wait_for_element_present(By.LINK_TEXT, "Control Panel") driver.find_element_by_link_text("Control Panel").click() user.wait_for_element_present(By.ID, "stop") driver.find_element_by_id("stop").click() user.log("stop clicked") user.wait_for_pattern_in_page(r"Start\s+My\s+Server") driver.find_element_by_id("logout").click() user.log("logout clicked") def scenario_no_jupyter(user): driver = user.get_driver() driver.get(user.base_url + "/hub/login") user.log("login") driver.find_element_by_id("username_input").clear() driver.find_element_by_id("username_input").send_keys(user.login) driver.find_element_by_id("password_input").clear() driver.find_element_by_id("password_input").send_keys(user.password) driver.find_element_by_id("login_submit").click() user.wait_for_element_present(By.ID, "start") driver.find_element_by_id("start").click() user.wait_for_element_present(By.ID, "repository_input") driver.find_element_by_id("repository_input").clear() driver.find_element_by_id("repository_input").send_keys('docker:busybox') driver.find_element_by_xpath("//input[@value='Spawn']").click() user.log("spawn clicked") user.wait_for_element_present(By.ID, "resist") text = ("Something went wrong during building." " Error: Container doesn't have jupyter-singleuser inside") assert text in driver.page_source user.log("correct, no jupyter in container") driver.find_element_by_id("resist").click() user.wait_for_element_present(By.ID, "repository_input") driver.find_element_by_id("repository_input").clear() driver.find_element_by_id("repository_input").send_keys(user.repo) driver.find_element_by_xpath("//input[@value='Spawn']").click() user.log("spawn clicked (second try)") user.wait_for_element_present(By.LINK_TEXT, "Control Panel") driver.find_element_by_link_text("Control Panel").click() user.wait_for_element_present(By.ID, "stop") driver.find_element_by_id("stop").click() user.log("stop clicked") user.wait_for_pattern_in_page(r"Start\s+My\s+Server") driver.find_element_by_id("logout").click() user.log("logout clicked") def scenario_timeout(user): driver = user.get_driver() driver.get(user.base_url + "/hub/login") user.log("login") driver.find_element_by_id("username_input").clear() driver.find_element_by_id("username_input").send_keys(user.login) driver.find_element_by_id("password_input").clear() driver.find_element_by_id("password_input").send_keys(user.password) driver.find_element_by_id("login_submit").click() user.wait_for_element_present(By.ID, "start") driver.find_element_by_id("start").click() user.wait_for_element_present(By.ID, "repository_input") driver.find_element_by_id("repository_input").clear() driver.find_element_by_id("repository_input").send_keys( 'https://github.com/everware/test_long_creation' ) driver.find_element_by_xpath("//input[@value='Spawn']").click() user.log("spawn clicked") user.wait_for_element_present(By.ID, "resist") assert "Building took too long" in driver.page_source or \ "This image is too heavy to build" in driver.page_source user.log('correct, timeout happened') driver.find_element_by_id("resist").click() user.log("resist clicked") user.wait_for_element_present(By.ID, "repository_input") driver.find_element_by_id("repository_input").clear() driver.find_element_by_id("repository_input").send_keys( 'https://github.com/everware/test_long_creation' ) driver.find_element_by_xpath("//input[@value='Spawn']").click() user.log("spawn clicked (second try)") user.wait_for_element_present(By.ID, "resist") assert "This image is too heavy to build" in driver.page_source def scenario_no_dockerfile(user): driver = user.get_driver() driver.get(user.base_url + "/hub/login") user.log("login") driver.find_element_by_id("username_input").clear() driver.find_element_by_id("username_input").send_keys(user.login) driver.find_element_by_id("password_input").clear() driver.find_element_by_id("password_input").send_keys(user.password) driver.find_element_by_id("login_submit").click() user.wait_for_element_present(By.ID, "start") driver.find_element_by_id("start").click() user.wait_for_element_present(By.ID, "repository_input") driver.find_element_by_id("repository_input").clear() driver.find_element_by_id("repository_input").send_keys( 'https://github.com/everware/runnable_examples' ) driver.find_element_by_xpath("//input[@value='Spawn']").click() user.log("spawn clicked") user.wait_for_element_present(By.ID, "resist") text = ("Something went wrong during building." " Error: Your repo doesn't include Dockerfile") assert text in driver.page_source user.log("correct, no dockerfile")

44.91195

77

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4.704524

0.101059

0.05892

0.21563

0.240998

0.921236

0.91653

0.913666

0.899345

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0

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0.123372

7,141

158

78

45.196203

0.780511

0.002941

0

0.826389

0

0.25699

0.01939

0

0.027778

1

0.048611

false

0.083333

0.013889

0

0.0625

0.006944

0

null

0

1

0

1

0

null

0

1

0

10

e4abf741a85651dcc3de7b239afae48020db96df

10,314

py

Python

dialogue-engine/test/programytest/parser/pattern/matching/test_set.py

cotobadesign/cotoba-agent-oss

3833d56e79dcd7529c3e8b3a3a8a782d513d9b12

[ "MIT" ]

104

2020-03-30T09:40:00.000Z

2022-03-06T22:34:25.000Z

dialogue-engine/test/programytest/parser/pattern/matching/test_set.py

cotobadesign/cotoba-agent-oss

3833d56e79dcd7529c3e8b3a3a8a782d513d9b12

[ "MIT" ]

25

2020-06-12T01:36:35.000Z

2022-02-19T07:30:44.000Z

dialogue-engine/test/programytest/parser/pattern/matching/test_set.py

cotobadesign/cotoba-agent-oss

3833d56e79dcd7529c3e8b3a3a8a782d513d9b12

[ "MIT" ]

10

2020-04-02T23:43:56.000Z

2021-05-14T13:47:01.000Z

""" Copyright (c) 2020 COTOBA DESIGN, Inc. 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. """ from programytest.parser.pattern.matching.base import PatternMatcherBaseClass class PatternMatcherSetTests(PatternMatcherBaseClass): def test_basic_set_match_as_text(self): if self._client_context.brain.sets.contains("SEX") is False: set_dict = {"MAN": [["MAN"]], "WOMAN": [["WOMAN"]]} values = {"MAN": "MAN", "WOMAN": "WOMAN"} self._client_context.brain._sets_collection.add_set("SEX", set_dict, "teststore", False, values) self.add_pattern_to_graph(pattern="I AM A <set>sex</set>", topic="X", that="Y", template="1") context = self.match_sentence("I AM A MAN", topic="X", that="Y") self.assertIsNotNone(context) self.assertIsNotNone(context.template_node()) self.assertEqual("1", context.template_node().template.word) self.assertEqual("MAN", context.star(1)) context = self.match_sentence("I AM A WOMAN", topic="X", that="Y") self.assertIsNotNone(context) self.assertIsNotNone(context.template_node()) self.assertEqual("1", context.template_node().template.word) self.assertEqual("WOMAN", context.star(1)) def test_basic_set_match_as_name(self): if self._client_context.brain.sets.contains("SEX") is False: set_dict = {"MAN": [["MAN"]], "WOMAN": [["WOMAN"]]} values = {"MAN": "MAN", "WOMAN": "WOMAN"} self._client_context.brain._sets_collection.add_set("SEX", set_dict, "teststore", False, values) self.add_pattern_to_graph(pattern='I AM A <set name="sex" />', topic="X", that="Y", template="1") context = self.match_sentence("I AM A MAN", topic="X", that="Y") self.assertIsNotNone(context) self.assertIsNotNone(context.template_node()) self.assertEqual("1", context.template_node().template.word) self.assertEqual("MAN", context.star(1)) context = self.match_sentence("I AM A WOMAN", topic="X", that="Y") self.assertIsNotNone(context) self.assertIsNotNone(context.template_node()) self.assertEqual("1", context.template_node().template.word) self.assertEqual("WOMAN", context.star(1)) def test_multi_word_set_match(self): set_dict = {"RED": [["RED"], ["RED", "AMBER"], ["RED", "BURNT", "OAK"], ["RED", "ORANGE"]]} values = {"RED": "RED", "RED AMBER": "RED AMBER", "RED BURNT OAK": "RED BURNT OAK", "RED ORANGE": "RED ORANGE"} self._client_context.brain._sets_collection.add_set("COLOR", set_dict, "teststore", False, values) self.add_pattern_to_graph(pattern="I LIKE <set>color</set> *", topic="*", that="*", template="1") context = self.match_sentence("I LIKE RED PAINT", topic="*", that="*") self.assertIsNotNone(context) self.assertIsNotNone(context.template_node()) self.assertEqual("1", context.template_node().template.word) self.assertEqual("RED", context.star(1)) self.assertEqual("PAINT", context.star(2)) context = self.match_sentence("I LIKE RED AMBER CARS", topic="*", that="*") self.assertIsNotNone(context) self.assertIsNotNone(context.template_node()) self.assertEqual("1", context.template_node().template.word) self.assertEqual("RED AMBER", context.star(1)) self.assertEqual("CARS", context.star(2)) context = self.match_sentence("I LIKE RED BURNT OAK MOTOR BIKES", topic="*", that="*") self.assertIsNotNone(context) self.assertIsNotNone(context.template_node()) self.assertEqual("1", context.template_node().template.word) self.assertEqual("RED BURNT OAK", context.star(1)) self.assertEqual("MOTOR BIKES", context.star(2)) def test_multi_word_match_value(self): set_dict = {"RED": [["RED"], ["RED", "AMBER"], ["RED", "BURNT", "OAK"], ["RED", "ORANGE"]]} values = {"RED": "red", "RED AMBER": "red amber", "RED BURNT OAK": "red burnt oak", "RED ORANGE": "red orange"} self._client_context.brain._sets_collection.add_set("COLOR", set_dict, "teststore", False, values) self.add_pattern_to_graph(pattern="i like <set>color</set> *", topic="*", that="*", template="1") context = self.match_sentence("I LIKE RED PAINT", topic="*", that="*") self.assertIsNotNone(context) self.assertIsNotNone(context.template_node()) self.assertEqual("1", context.template_node().template.word) self.assertEqual("red", context.star(1)) self.assertEqual("PAINT", context.star(2)) context = self.match_sentence("I LIKE RED AMBER CARS", topic="*", that="*") self.assertIsNotNone(context) self.assertIsNotNone(context.template_node()) self.assertEqual("1", context.template_node().template.word) self.assertEqual("red amber", context.star(1)) self.assertEqual("CARS", context.star(2)) context = self.match_sentence("I LIKE RED BURNT OAK MOTOR BIKES", topic="*", that="*") self.assertIsNotNone(context) self.assertIsNotNone(context.template_node()) self.assertEqual("1", context.template_node().template.word) self.assertEqual("red burnt oak", context.star(1)) self.assertEqual("MOTOR BIKES", context.star(2)) def test_basic_set_match_as_text_jp(self): if self._client_context.brain.sets.contains("SEX") is False: set_dict = {"男": ["男", "男性"], "女": ["女", "女性"]} values = {"男": "男", "男性": "男性", "女": "女", "女性": "女性"} self._client_context.brain._sets_collection.add_set("SEX", set_dict, "teststore", True, values) self.add_pattern_to_graph(pattern="私は <set>sex</set>", topic="X", that="Y", template="1") context = self.match_sentence("私は男性", topic="X", that="Y") self.assertIsNotNone(context) self.assertIsNotNone(context.template_node()) self.assertEqual("1", context.template_node().template.word) self.assertEqual("男性", context.star(1)) context = self.match_sentence("私は女", topic="X", that="Y") self.assertIsNotNone(context) self.assertIsNotNone(context.template_node()) self.assertEqual("1", context.template_node().template.word) self.assertEqual("女", context.star(1)) def test_basic_set_match_as_name_jp(self): if self._client_context.brain.sets.contains("SEX") is False: set_dict = {"男": ["男", "男性"], "女": ["女", "女性"]} values = {"男": "男", "男性": "男性", "女": "女", "女性": "女性"} self._client_context.brain._sets_collection.add_set("SEX", set_dict, "teststore", True, values) self.add_pattern_to_graph(pattern='私は <set name="sex" />', topic="X", that="Y", template="1") context = self.match_sentence("私は男", topic="X", that="Y") self.assertIsNotNone(context) self.assertIsNotNone(context.template_node()) self.assertEqual("1", context.template_node().template.word) self.assertEqual("男", context.star(1)) context = self.match_sentence("私は女性", topic="X", that="Y") self.assertIsNotNone(context) self.assertIsNotNone(context.template_node()) self.assertEqual("1", context.template_node().template.word) self.assertEqual("女性", context.star(1)) def test_multi_word_set_match_jp(self): set_dict = {"赤": ["赤", "赤色", "赤黒い", "赤面", "赤に塗った"]} values = {"赤": "赤", "赤色": "赤色", "赤黒い": "赤黒い", "赤面": "赤面", "赤に塗った": "赤に塗った"} self._client_context.brain._sets_collection.add_set("COLOR", set_dict, "teststore", True, values) self.add_pattern_to_graph(pattern="私が好きなのは<set>color</set> *", topic="*", that="*", template="1") context = self.match_sentence("私が好きなのは赤系統", topic="*", that="*") self.assertIsNotNone(context) self.assertIsNotNone(context.template_node()) self.assertEqual("1", context.template_node().template.word) self.assertEqual("赤", context.star(1)) self.assertEqual("系統", context.star(2)) context = self.match_sentence("私が好きなのは赤黒い車", topic="*", that="*") self.assertIsNotNone(context) self.assertIsNotNone(context.template_node()) self.assertEqual("1", context.template_node().template.word) self.assertEqual("赤黒い", context.star(1)) self.assertEqual("車", context.star(2)) context = self.match_sentence("私が好きなのは赤に塗ったバイク", topic="*", that="*") self.assertIsNotNone(context) self.assertIsNotNone(context.template_node()) self.assertEqual("1", context.template_node().template.word) self.assertEqual("赤に塗った", context.star(1)) self.assertEqual("バイク", context.star(2)) def test_basic_set_number_match(self): self._client_context.brain.dynamics.add_dynamic_set('number', "programy.dynamic.sets.numeric.IsNumeric", None) self.add_pattern_to_graph(pattern="I AM <set>number</set> YEARS OLD", topic="X", that="Y", template="1") context = self.match_sentence("I AM 49 YEARS OLD", topic="X", that="Y") self.assertIsNotNone(context) self.assertIsNotNone(context.template_node()) self.assertEqual("1", context.template_node().template.word) self.assertEqual("49", context.star(1))

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null

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1

0

7

90025a1386c5f9213d120225a31f82cdb82e676d

5,463

py

Python

cifar_train/genotypes.py

sunsmarterjie/GOLD_NAS

3b40c2a0700b1d07b96c2f9351057623efd0488f

[ "Apache-2.0" ]

20

2020-08-30T13:39:08.000Z

2021-12-10T08:56:07.000Z

cifar_train/genotypes.py

sunsmarterjie/GOLD_NAS

3b40c2a0700b1d07b96c2f9351057623efd0488f

[ "Apache-2.0" ]

3

2020-10-25T23:04:18.000Z

2021-03-16T07:58:17.000Z

cifar_train/genotypes.py

sunsmarterjie/GOLD_NAS

3b40c2a0700b1d07b96c2f9351057623efd0488f

[ "Apache-2.0" ]

2

2020-11-02T04:54:09.000Z

2020-11-21T14:49:04.000Z

# 2019.11.25-Changed architecture-coding form # Huawei Technologies Co., Ltd. <foss@huawei.com> from collections import namedtuple Genotype = namedtuple('Genotype', 'gene concat') PRIMITIVES = [ 'skip_connect', 'sep_conv_3x3' ] s1 = Genotype(gene=[[('skip_connect', 0, 2), ('sep_conv_3x3', 0, 2), ('skip_connect', 1, 2), ('skip_connect', 1, 3), ('sep_conv_3x3', 1, 3), ('sep_conv_3x3', 2, 3), ('skip_connect', 0, 4), ('sep_conv_3x3', 1, 4), ('skip_connect', 2, 4), ('skip_connect', 0, 5), ('sep_conv_3x3', 0, 5)], [('skip_connect', 0, 2), ('sep_conv_3x3', 0, 2), ('skip_connect', 0, 3), ('sep_conv_3x3', 0, 3), ('skip_connect', 1, 3), ('sep_conv_3x3', 1, 3), ('skip_connect', 0, 4), ('sep_conv_3x3', 0, 4), ('skip_connect', 2, 4), ('sep_conv_3x3', 3, 4), ('sep_conv_3x3', 2, 5), ('skip_connect', 3, 5), ('sep_conv_3x3', 3, 5), ('sep_conv_3x3', 4, 5)], [('skip_connect', 0, 2), ('sep_conv_3x3', 0, 2), ('skip_connect', 1, 2), ('sep_conv_3x3', 0, 3), ('skip_connect', 1, 3), ('sep_conv_3x3', 1, 3), ('skip_connect', 0, 4), ('sep_conv_3x3', 0, 4), ('sep_conv_3x3', 0, 5), ('skip_connect', 1, 5), ('sep_conv_3x3', 1, 5), ('sep_conv_3x3', 3, 5)], [('skip_connect', 1, 2), ('sep_conv_3x3', 1, 2), ('skip_connect', 0, 3), ('sep_conv_3x3', 0, 3), ('skip_connect', 0, 4), ('sep_conv_3x3', 0, 4), ('sep_conv_3x3', 3, 4), ('sep_conv_3x3', 1, 5), ('sep_conv_3x3', 2, 5)], [('sep_conv_3x3', 0, 2), ('sep_conv_3x3', 1, 2), ('skip_connect', 0, 3), ('sep_conv_3x3', 0, 3), ('sep_conv_3x3', 1, 3), ('skip_connect', 1, 4), ('sep_conv_3x3', 1, 4), ('sep_conv_3x3', 2, 4), ('skip_connect', 0, 5), ('sep_conv_3x3', 0, 5), ('sep_conv_3x3', 3, 5)], [('sep_conv_3x3', 0, 2), ('skip_connect', 1, 2), ('sep_conv_3x3', 1, 2), ('skip_connect', 0, 3), ('sep_conv_3x3', 0, 3), ('skip_connect', 1, 3), ('sep_conv_3x3', 2, 3), ('skip_connect', 0, 4), ('skip_connect', 1, 4), ('sep_conv_3x3', 3, 4), ('skip_connect', 0, 5), ('sep_conv_3x3', 0, 5), ('sep_conv_3x3', 3, 5), ('sep_conv_3x3', 4, 5)], [('sep_conv_3x3', 0, 2), ('skip_connect', 1, 2), ('sep_conv_3x3', 1, 2), ('skip_connect', 0, 3), ('sep_conv_3x3', 0, 3), ('sep_conv_3x3', 1, 3), ('sep_conv_3x3', 2, 3), ('skip_connect', 0, 4), ('sep_conv_3x3', 0, 4), ('sep_conv_3x3', 1, 4), ('skip_connect', 0, 5), ('sep_conv_3x3', 0, 5), ('sep_conv_3x3', 1, 5), ('sep_conv_3x3', 3, 5)], [('skip_connect', 0, 2), ('sep_conv_3x3', 0, 2), ('sep_conv_3x3', 1, 2), ('skip_connect', 0, 3), ('sep_conv_3x3', 0, 3), ('skip_connect', 1, 3), ('sep_conv_3x3', 1, 3), ('sep_conv_3x3', 0, 4), ('skip_connect', 1, 4), ('sep_conv_3x3', 1, 4), ('skip_connect', 0, 5), ('sep_conv_3x3', 0, 5), ('sep_conv_3x3', 1, 5), ('sep_conv_3x3', 3, 5)], [('sep_conv_3x3', 0, 2), ('skip_connect', 1, 2), ('sep_conv_3x3', 1, 2), ('skip_connect', 0, 3), ('sep_conv_3x3', 0, 3), ('skip_connect', 1, 3), ('sep_conv_3x3', 1, 3), ('skip_connect', 0, 4), ('sep_conv_3x3', 0, 4), ('sep_conv_3x3', 1, 4), ('skip_connect', 0, 5), ('sep_conv_3x3', 0, 5), ('sep_conv_3x3', 1, 5)], [('skip_connect', 0, 2), ('sep_conv_3x3', 0, 2), ('skip_connect', 1, 2), ('sep_conv_3x3', 1, 2), ('sep_conv_3x3', 0, 3), ('skip_connect', 1, 3), ('sep_conv_3x3', 1, 3), ('sep_conv_3x3', 2, 3), ('sep_conv_3x3', 0, 4), ('sep_conv_3x3', 1, 4), ('sep_conv_3x3', 2, 4), ('sep_conv_3x3', 3, 4), ('sep_conv_3x3', 0, 5), ('sep_conv_3x3', 1, 5), ('sep_conv_3x3', 2, 5), ('sep_conv_3x3', 3, 5), ('sep_conv_3x3', 4, 5)], [('sep_conv_3x3', 0, 2), ('sep_conv_3x3', 1, 2), ('skip_connect', 0, 3), ('sep_conv_3x3', 1, 3), ('skip_connect', 0, 4), ('skip_connect', 1, 4), ('sep_conv_3x3', 1, 4), ('skip_connect', 0, 5), ('sep_conv_3x3', 1, 5), ('sep_conv_3x3', 2, 5), ('sep_conv_3x3', 4, 5)], [('sep_conv_3x3', 0, 2), ('sep_conv_3x3', 1, 2), ('skip_connect', 0, 3), ('sep_conv_3x3', 0, 3), ('sep_conv_3x3', 1, 3), ('sep_conv_3x3', 2, 3), ('skip_connect', 0, 4), ('sep_conv_3x3', 0, 4), ('sep_conv_3x3', 3, 4), ('skip_connect', 0, 5), ('skip_connect', 1, 5), ('sep_conv_3x3', 3, 5), ('sep_conv_3x3', 4, 5)], [('skip_connect', 0, 2), ('sep_conv_3x3', 1, 2), ('skip_connect', 0, 3), ('sep_conv_3x3', 1, 3), ('skip_connect', 0, 4), ('skip_connect', 1, 4), ('sep_conv_3x3', 1, 4), ('skip_connect', 0, 5), ('sep_conv_3x3', 2, 5), ('sep_conv_3x3', 3, 5)], [('sep_conv_3x3', 0, 2), ('sep_conv_3x3', 1, 2), ('sep_conv_3x3', 0, 3), ('sep_conv_3x3', 1, 3), ('skip_connect', 1, 4), ('sep_conv_3x3', 1, 4), ('skip_connect', 0, 5), ('sep_conv_3x3', 0, 5), ('sep_conv_3x3', 1, 5)]], concat=range(2, 6))

89.557377

117

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0.91003

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0.904003

0.887645

0

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89.557377

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0

null

1

0

1

0

null

0

10

9008aac69583e7754b1fe2c22fae49141bdb7d05

11,083

py

Python

rdmo/questions/migrations/0040_add_language_fields.py

Raspeanut/rdmo

9f785010a499c372a2f8368ccf76d2ea4150adcb

[ "Apache-2.0" ]

77

2016-08-09T11:40:20.000Z

2022-03-06T11:03:26.000Z

rdmo/questions/migrations/0040_add_language_fields.py

Raspeanut/rdmo

9f785010a499c372a2f8368ccf76d2ea4150adcb

[ "Apache-2.0" ]

377

2016-07-01T13:59:36.000Z

2022-03-30T13:53:19.000Z

rdmo/questions/migrations/0040_add_language_fields.py

Raspeanut/rdmo

9f785010a499c372a2f8368ccf76d2ea4150adcb

[ "Apache-2.0" ]

47

2016-06-23T11:32:19.000Z

2022-03-01T11:34:37.000Z

# -*- coding: utf-8 -*- # Generated by Django 1.11.16 on 2019-03-05 14:54 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('questions', '0039_meta'), ] operations = [ migrations.AddField( model_name='catalog', name='title_lang3', field=models.CharField(blank=True, help_text='The title for this catalog in the tertiary language.', max_length=256, null=True, verbose_name='Title (tertiary)'), ), migrations.AddField( model_name='catalog', name='title_lang4', field=models.CharField(blank=True, help_text='The title for this catalog in the quaternary language.', max_length=256, null=True, verbose_name='Title (quaternary)'), ), migrations.AddField( model_name='catalog', name='title_lang5', field=models.CharField(blank=True, help_text='The title for this catalog in the quinary language.', max_length=256, null=True, verbose_name='Title (quinary)'), ), migrations.AddField( model_name='question', name='help_lang3', field=models.TextField(blank=True, help_text='The help text for this question in the tertiary language.', null=True, verbose_name='Help (tertiary)'), ), migrations.AddField( model_name='question', name='help_lang4', field=models.TextField(blank=True, help_text='The help text for this question in the quaternary language.', null=True, verbose_name='Help (quaternary)'), ), migrations.AddField( model_name='question', name='help_lang5', field=models.TextField(blank=True, help_text='The help text for this question in the quinary language.', null=True, verbose_name='Help (quinary)'), ), migrations.AddField( model_name='question', name='text_lang3', field=models.TextField(blank=True, help_text='The text for this question in the tertiary language.', null=True, verbose_name='Text (tertiary)'), ), migrations.AddField( model_name='question', name='text_lang4', field=models.TextField(blank=True, help_text='The text for this question in the quaternary language.', null=True, verbose_name='Text (quaternary)'), ), migrations.AddField( model_name='question', name='text_lang5', field=models.TextField(blank=True, help_text='The text for this question in the quinary language.', null=True, verbose_name='Text (quinary)'), ), migrations.AddField( model_name='question', name='verbose_name_lang3', field=models.CharField(blank=True, help_text='The name displayed for this question in the tertiary language.', max_length=256, verbose_name='Name (tertiary)'), ), migrations.AddField( model_name='question', name='verbose_name_lang4', field=models.CharField(blank=True, help_text='The name displayed for this question in the quaternary language.', max_length=256, verbose_name='Name (quaternary)'), ), migrations.AddField( model_name='question', name='verbose_name_lang5', field=models.CharField(blank=True, help_text='The name displayed for this question in the quinary language.', max_length=256, verbose_name='Name (quinary)'), ), migrations.AddField( model_name='question', name='verbose_name_plural_lang3', field=models.CharField(blank=True, help_text='The plural name displayed for this question in the tertiary language.', max_length=256, verbose_name='Plural name (tertiary)'), ), migrations.AddField( model_name='question', name='verbose_name_plural_lang4', field=models.CharField(blank=True, help_text='The plural name displayed for this question in the quaternary language.', max_length=256, verbose_name='Plural name (quaternary)'), ), migrations.AddField( model_name='question', name='verbose_name_plural_lang5', field=models.CharField(blank=True, help_text='The plural name displayed for this question in the quinary language.', max_length=256, verbose_name='Plural name (quinary)'), ), migrations.AddField( model_name='questionset', name='help_lang3', field=models.TextField(blank=True, help_text='The help text for this questionset in the tertiary language.', null=True, verbose_name='Help (tertiary)'), ), migrations.AddField( model_name='questionset', name='help_lang4', field=models.TextField(blank=True, help_text='The help text for this questionset in the quaternary language.', null=True, verbose_name='Help (quaternary)'), ), migrations.AddField( model_name='questionset', name='help_lang5', field=models.TextField(blank=True, help_text='The help text for this questionset in the quinary language.', null=True, verbose_name='Help (quinary)'), ), migrations.AddField( model_name='questionset', name='title_lang3', field=models.CharField(blank=True, help_text='The title for this questionset in the tertiary language.', max_length=256, null=True, verbose_name='Title (tertiary)'), ), migrations.AddField( model_name='questionset', name='title_lang4', field=models.CharField(blank=True, help_text='The title for this questionset in the quaternary language.', max_length=256, null=True, verbose_name='Title (quaternary)'), ), migrations.AddField( model_name='questionset', name='title_lang5', field=models.CharField(blank=True, help_text='The title for this questionset in the quinary language.', max_length=256, null=True, verbose_name='Title (quinary)'), ), migrations.AddField( model_name='questionset', name='verbose_name_lang3', field=models.CharField(blank=True, help_text='The name displayed for this question in the tertiary language.', max_length=256, verbose_name='Name (tertiary)'), ), migrations.AddField( model_name='questionset', name='verbose_name_lang4', field=models.CharField(blank=True, help_text='The name displayed for this question in the quaternary language.', max_length=256, verbose_name='Name (quaternary)'), ), migrations.AddField( model_name='questionset', name='verbose_name_lang5', field=models.CharField(blank=True, help_text='The name displayed for this question in the quinary language.', max_length=256, verbose_name='Name (quinary)'), ), migrations.AddField( model_name='questionset', name='verbose_name_plural_lang3', field=models.CharField(blank=True, help_text='The plural name displayed for this question in the tertiary language.', max_length=256, verbose_name='Plural name (tertiary)'), ), migrations.AddField( model_name='questionset', name='verbose_name_plural_lang4', field=models.CharField(blank=True, help_text='The plural name displayed for this question in the quaternary language.', max_length=256, verbose_name='Plural name (quaternary)'), ), migrations.AddField( model_name='questionset', name='verbose_name_plural_lang5', field=models.CharField(blank=True, help_text='The plural name displayed for this question in the quinary language.', max_length=256, verbose_name='Plural name (quinary)'), ), migrations.AddField( model_name='section', name='title_lang3', field=models.CharField(blank=True, help_text='The title for this section in the tertiary language.', max_length=256, null=True, verbose_name='Title (tertiary)'), ), migrations.AddField( model_name='section', name='title_lang4', field=models.CharField(blank=True, help_text='The title for this section in the quaternary language.', max_length=256, null=True, verbose_name='Title (quaternary)'), ), migrations.AddField( model_name='section', name='title_lang5', field=models.CharField(blank=True, help_text='The title for this section in the quinary language.', max_length=256, null=True, verbose_name='Title (quinary)'), ), migrations.AlterField( model_name='catalog', name='title_lang1', field=models.CharField(blank=True, help_text='The title for this catalog in the primary language.', max_length=256, null=True, verbose_name='Title (primary)'), ), migrations.AlterField( model_name='catalog', name='title_lang2', field=models.CharField(blank=True, help_text='The title for this catalog in the secondary language.', max_length=256, null=True, verbose_name='Title (secondary)'), ), migrations.AlterField( model_name='question', name='text_lang1', field=models.TextField(blank=True, help_text='The text for this question in the primary language.', null=True, verbose_name='Text (primary)'), ), migrations.AlterField( model_name='question', name='text_lang2', field=models.TextField(blank=True, help_text='The text for this question in the secondary language.', null=True, verbose_name='Text (secondary)'), ), migrations.AlterField( model_name='questionset', name='title_lang1', field=models.CharField(blank=True, help_text='The title for this questionset in the primary language.', max_length=256, null=True, verbose_name='Title (primary)'), ), migrations.AlterField( model_name='questionset', name='title_lang2', field=models.CharField(blank=True, help_text='The title for this questionset in the secondary language.', max_length=256, null=True, verbose_name='Title (secondary)'), ), migrations.AlterField( model_name='section', name='title_lang1', field=models.CharField(blank=True, help_text='The title for this section in the primary language.', max_length=256, null=True, verbose_name='Title (primary)'), ), migrations.AlterField( model_name='section', name='title_lang2', field=models.CharField(blank=True, help_text='The title for this section in the secondary language.', max_length=256, null=True, verbose_name='Title (secondary)'), ), ]

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null

0

1

0

1

0

null

0

8

902b61b253f04ef093e9d19b3fe2dc3f65308050

4,250

py

Python

compuG/spritesIntro.py

alejoso76/Computaci-n-gr-fica

474a498a328b8951aa0bfa1db2d0d1f3d8cc914b

[ "MIT" ]

null

compuG/spritesIntro.py

alejoso76/Computaci-n-gr-fica

474a498a328b8951aa0bfa1db2d0d1f3d8cc914b

[ "MIT" ]

null

compuG/spritesIntro.py

alejoso76/Computaci-n-gr-fica

474a498a328b8951aa0bfa1db2d0d1f3d8cc914b

[ "MIT" ]

null

import pygame import math ANCHO=640 ALTO=480 if __name__ == '__main__': pygame.init() pantalla=pygame.display.set_mode([ANCHO, ALTO]) #Crea la ventana #Carga la imagen a una variable nave=pygame.image.load('thor.png') #La ubica en pantalla posNave=[10,10] pantalla.blit(nave, posNave) pygame.display.flip() print 'Funciona' fin=False #x=0 #reloj=pygame.time.Clock() while not fin: ''' x+=1 posNave[0]=10+x pantalla.fill([0, 0, 0]) pantalla.blit(nave, posNave) pygame.display.flip() reloj.tick(60) ''' for event in pygame.event.get(): if event.type == pygame.QUIT: fin=True if event.type == pygame.KEYDOWN: if event.key==pygame.K_LEFT: if(posNave[0]>=-115): print 'Left' #pintarPantallaNegra(pantalla) pantalla.fill([0, 0, 0]) pygame.display.flip() posNave=[posNave[0]-5, posNave[1]] #print pos pantalla.blit(nave, posNave) pygame.display.flip() else: print 'Left' #pintarPantallaNegra(pantalla) pantalla.fill([0, 0, 0]) pygame.display.flip() posNave=[625, posNave[1]] #print pos pantalla.blit(nave, posNave) pygame.display.flip() if event.key==pygame.K_RIGHT: if(posNave[0]<625): print 'Right' #pintarPantallaNegra(pantalla) pantalla.fill([0, 0, 0]) pygame.display.flip() posNave=[posNave[0]+5, posNave[1]] #print pos pantalla.blit(nave, posNave) pygame.display.flip() else: print 'Right' #pintarPantallaNegra(pantalla) pantalla.fill([0, 0, 0]) pygame.display.flip() posNave=[-115, posNave[1]] #print pos pantalla.blit(nave, posNave) pygame.display.flip() if event.key==pygame.K_UP: if(posNave[1]>=-110): print 'Up' #pintarPantallaNegra(pantalla) pantalla.fill([0, 0, 0]) pygame.display.flip() posNave=[posNave[0], posNave[1]-5] #print pos pantalla.blit(nave, posNave) pygame.display.flip() else: print 'Up' #pintarPantallaNegra(pantalla) pantalla.fill([0, 0, 0]) pygame.display.flip() posNave=[posNave[0], 470] #print pos pantalla.blit(nave, posNave) pygame.display.flip() if event.key==pygame.K_DOWN: if(posNave[1]<470): print 'Down' #pintarPantallaNegra(pantalla) pantalla.fill([0, 0, 0]) pygame.display.flip() posNave=[posNave[0], posNave[1]+5] #print pos pantalla.blit(nave, posNave) pygame.display.flip() else: print 'Down' #pintarPantallaNegra(pantalla) pantalla.fill([0, 0, 0]) pygame.display.flip() posNave=[posNave[0], 0] #print pos pantalla.blit(nave, posNave) pygame.display.flip() print posNave

36.324786

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355

4,250

4.760563

0.2

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1

0

1

0

null

0

1

0

7

5f4693d29f821f396de3761f73f3b81a69a66971

204

py

Python

cognite/async_client/jobs/__init__.py

cognitedata/cognite-async

256223b6b4f3e1630a8ab289ac4295a20d24437b

[ "Apache-2.0" ]

1

2020-01-24T13:35:21.000Z

cognite/async_client/jobs/__init__.py

cognitedata/cognite-async

256223b6b4f3e1630a8ab289ac4295a20d24437b

[ "Apache-2.0" ]

null

cognite/async_client/jobs/__init__.py

cognitedata/cognite-async

256223b6b4f3e1630a8ab289ac4295a20d24437b

[ "Apache-2.0" ]

null

from cognite.async_client.jobs.base import Job from cognite.async_client.jobs.create import CreateJob from cognite.async_client.jobs.datapoints import CountDatapointsJob, DatapointsJob, DatapointsListJob

51

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0.375

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0

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null

0

1

0

1

0

1

0

7

5f57ff9c79f42f14061285a04b9fc8636bd80c73

18,282

py

Python

app/models/samples/schedule_ruleset.py

tanushree04/energy-model-schema-1

ea92b0d300f1bf97633ff19ae64006d0ea2fed21

[ "BSD-3-Clause" ]

null

app/models/samples/schedule_ruleset.py

tanushree04/energy-model-schema-1

ea92b0d300f1bf97633ff19ae64006d0ea2fed21

[ "BSD-3-Clause" ]

null

app/models/samples/schedule_ruleset.py

tanushree04/energy-model-schema-1

ea92b0d300f1bf97633ff19ae64006d0ea2fed21

[ "BSD-3-Clause" ]

null

schedule_ruleset = { 'type': 'ScheduleRuleset', 'name': 'Schedule Ruleset', 'schedule_type': { 'type': 'ScheduleTypeLimit', 'numeric_type': 'ScheduleContinuous', 'unit_type': 'Temperature', 'name': 'Numeric Type', 'lower_limit_value': 0, 'upper_limit_value': 20 }, 'default_day_schedule': { 'type': 'ScheduleDay', 'name': 'Default Day 1', 'interpolate_to_timestep': False, 'day_values': [ { 'time': { 'hour': 24, 'minute': 00 }, 'value_until_time': 20 } ], }, 'summer_designday_schedule': { 'type': 'ScheduleDay', 'name': 'Default Day 2', 'interpolate_to_timestep': False, 'day_values': [ { 'time': { 'hour': 24, 'minute': 00 }, 'value_until_time': 20 } ], }, 'winter_designday_schedule': { 'type': 'ScheduleDay', 'name': 'Default Day 3', 'interpolate_to_timestep': False, 'day_values': [ { 'time': { 'hour': 24, 'minute': 00 }, 'value_until_time': 20 } ] }, 'schedule_rules': [ { 'type': 'ScheduleRule', 'schedule_day': { 'type': 'ScheduleDay', 'name': 'Default Day 4', 'interpolate_to_timestep': False, 'day_values': [ { 'time': { 'hour': 24, 'minute': 00 }, 'value_until_time': 20 } ] }, 'start_period': { 'month': 1, 'day': 1, 'is_leap_year': False }, 'end_period': { 'month': 12, 'day': 31, 'is_leap_year': False }, 'name': 'Schedule Rule 1', 'apply_sunday': True, 'apply_monday': True, 'apply_tuesday': True, 'apply_wednesday': True, 'apply_thursday': True, 'apply_friday': True, 'apply_saturday': True, 'apply_holiday': True } ] } schedule_ruleset_1 = { 'type': 'ScheduleRuleset', 'name': 'Schedule Ruleset 1', 'schedule_type': { 'type': 'ScheduleTypeLimit', 'numeric_type': 'ScheduleContinuous', 'unit_type': 'Dimensionless', 'name': 'Numeric Type', 'lower_limit_value': 0, 'upper_limit_value': 1 }, 'default_day_schedule': { 'type': 'ScheduleDay', 'name': 'Default Day 1', 'interpolate_to_timestep': False, 'day_values': [ { 'time': { 'hour': 7, 'minute': 00 }, 'value_until_time': 0 }, { 'time': { 'hour': 19, 'minute': 00 }, 'value_until_time': 1 }, { 'time': { 'hour': 23, 'minute': 59 }, 'value_until_time': 0 } ] }, 'summer_designday_schedule': { 'type': 'ScheduleDay', 'name': 'Default Day 2', 'interpolate_to_timestep': False, 'day_values': [ { 'time': { 'hour': 23, 'minute': 59 }, 'value_until_time': 0 } ] }, 'winter_designday_schedule': { 'type': 'ScheduleDay', 'name': 'Default Day 3', 'interpolate_to_timestep': False, 'day_values': [ { 'time': { 'hour': 23, 'minute': 59 }, 'value_until_time': 0 } ] }, 'schedule_rules': [ { 'type': 'ScheduleRule', 'schedule_day': { 'type': 'ScheduleDay', 'name': 'Schedule Rule 180 Day 1', 'interpolate_to_timestep': False, 'day_values': [ { 'time': { 'hour': 23, 'minute': 59 }, 'value_until_time': 0 } ] }, 'start_period': { 'month': 8, 'day': 17, 'is_leap_year': False }, 'end_period': { 'month': 12, 'day': 11, 'is_leap_year': False }, 'name': 'Schedule Rule 180', 'apply_sunday': True, 'apply_monday': False, 'apply_tuesday': False, 'apply_wednesday': False, 'apply_thursday': False, 'apply_friday': False, 'apply_saturday': False, 'apply_holiday': False }, { 'type': 'ScheduleRule', 'schedule_day': { 'type': 'ScheduleDay', 'name': 'Schedule Rule 181 Day 2', 'interpolate_to_timestep': False, 'day_values': [ { 'time': { 'hour': 7, 'minute': 00 }, 'value_until_time': 0 }, { 'time': { 'hour': 16, 'minute': 00 }, 'value_until_time': 0.3 }, { 'time': { 'hour': 23, 'minute': 59 }, 'value_until_time': 0 } ] }, 'start_period': { 'month': 8, 'day': 17, 'is_leap_year': False }, 'end_period': { 'month': 12, 'day': 11, 'is_leap_year': False }, 'name': 'Schedule Rule 181', 'apply_sunday': False, 'apply_monday': False, 'apply_tuesday': False, 'apply_wednesday': False, 'apply_thursday': False, 'apply_friday': False, 'apply_saturday': True, 'apply_holiday': False }, { 'type': 'ScheduleRule', 'schedule_day': { 'type': 'ScheduleDay', 'name': 'Schedule Rule 182 Day', 'interpolate_to_timestep': False, 'day_values': [ { 'time': { 'hour': 7, 'minute': 00 }, 'value_until_time': 0 }, { 'time': { 'hour': 19, 'minute': 00 }, 'value_until_time': 1 }, { 'time': { 'hour': 23, 'minute': 59, }, 'value_until_time': 0 } ] }, 'start_period': { 'month': 8, 'day': 17, 'is_leap_year': False }, 'end_period': { 'month': 12, 'day': 11, 'is_leap_year': False }, 'name': 'Schedule Rule 182', 'apply_sunday': False, 'apply_monday': True, 'apply_tuesday': True, 'apply_wednesday': True, 'apply_thursday': True, 'apply_friday': True, 'apply_saturday': False, 'apply_holiday': False }, { 'type': 'ScheduleRule', 'schedule_day': { 'type': 'ScheduleDay', 'name': 'Schedule Rule 183 Day', 'interpolate_to_timestep': False, 'day_values': [ { 'time': { 'hour': 24, 'minute': 00 }, 'value_until_time': 0 } ], }, 'start_period': { 'month': 4, 'day': 13, 'is_leap_year': False }, 'end_period': { 'month': 6, 'day': 12, 'is_leap_year': False }, 'name': 'Schedule Rule 183', 'apply_sunday': True, 'apply_monday': False, 'apply_tuesday': False, 'apply_wednesday': False, 'apply_thursday': False, 'apply_friday': False, 'apply_saturday': False, 'apply_holiday': False }, { 'type': 'ScheduleRule', 'schedule_day': { 'type': 'ScheduleDay', 'name': 'Schedule Rule 184 Day', 'interpolate_to_timestep': False, 'day_values': [ { 'time': { 'hour': 7, 'minute': 00 }, 'value_until_time': 0, }, { 'time': { 'hour': 16, 'minute': 00 }, 'value_until_time': 0.29 }, { 'time': { 'hour': 24, 'minute': 00 }, 'value_until_time': 0 } ] }, 'start_period': { 'month': 4, 'day': 13, 'is_leap_year': False }, 'end_period': { 'month': 6, 'day': 12, 'is_leap_year': False }, 'name': 'Schedule Rule 184', 'apply_sunday': False, 'apply_monday': False, 'apply_tuesday': False, 'apply_wednesday': False, 'apply_thursday': False, 'apply_friday': False, 'apply_saturday': True, 'apply_holiday': False }, { 'type': 'ScheduleRule', 'schedule_day': { 'type': 'ScheduleDay', 'name': 'Schedule Rule 185 Day', 'interpolate_to_timestep': False, 'day_values': [ { 'time': { 'hour': 7, 'minute': 00 }, 'value_until_time': 0 }, { 'time': { 'hour': 20, 'minute': 00 }, 'value_until_time': 0.57 }, { 'time': { 'hour': 24, 'minute': 00 }, 'value_until_time': 0 } ] }, 'start_period': { 'month': 4, 'day': 13, 'is_leap_year': False }, 'end_period': { 'month': 6, 'day': 12, 'is_leap_year': False }, 'name': 'Schedule Rule 185', 'apply_sunday': False, 'apply_monday': True, 'apply_tuesday': True, 'apply_wednesday': True, 'apply_thursday': True, 'apply_friday': True, 'apply_saturday': False, 'apply_holiday': False }, { 'type': 'ScheduleRule', 'schedule_day': { 'type': 'ScheduleDay', 'name': 'Schedule Rule 186 Day', 'interpolate_to_timestep': False, 'day_values': [ { 'time': { 'hour': 24, 'minute': 00 }, 'value_until_time': 0 } ] }, 'start_period': { 'month': 1, 'day': 5, 'is_leap_year': False }, 'end_period': { 'month': 4, 'day': 3, 'is_leap_year': False }, 'name': 'Schedule Rule 186', 'apply_sunday': True, 'apply_monday': False, 'apply_tuesday': False, 'apply_wednesday': False, 'apply_thursday': False, 'apply_friday': False, 'apply_saturday': False, 'apply_holiday': False }, { 'type': 'ScheduleRule', 'schedule_day': { 'type': 'ScheduleDay', 'name': 'Schedule Rule 187 Day', 'interpolate_to_timestep': False, 'day_values': [ { 'time': { 'hour': 7, 'minute': 00 }, 'value_until_time': 0 }, { 'time': { 'hour': 16, 'minute': 00 }, 'value_until_time': 0.29 }, { 'time': { 'hour': 24, 'minute': 00 }, 'value_until_time': 0 } ] }, 'start_period': { 'month': 1, 'day': 5, 'is_leap_year': False }, 'end_period': { 'month': 4, 'day': 3, 'is_leap_year': False }, 'name': 'Schedule Rule 187', 'apply_sunday': False, 'apply_monday': False, 'apply_tuesday': False, 'apply_wednesday': False, 'apply_thursday': False, 'apply_friday': False, 'apply_saturday': True, 'apply_holiday': False }, { 'type': 'ScheduleRule', 'schedule_day': { 'type': 'ScheduleDay', 'name': 'Schedule Rule 188 Day', 'interpolate_to_timestep': False, 'day_values': [ { 'time': { 'hour': 7, 'minute': 00 }, 'value_until_time': 0 }, { 'time': { 'hour': 18, 'minute': 00 }, 'value_until_time': 0.57 }, { 'time': { 'hour': 24, 'minute': 00 }, 'value_until_time': 0 } ] }, 'start_period': { 'month': 1, 'day': 5, 'is_leap_year': False }, 'end_period': { 'month': 4, 'day': 3, 'is_leap_year': False }, 'name': 'Schedule Rule 188', 'apply_sunday': False, 'apply_monday': True, 'apply_tuesday': True, 'apply_wednesday': True, 'apply_thursday': True, 'apply_friday': True, 'apply_saturday': False, 'apply_holiday': False } ] }

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0

null

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1

0

1

0

null

0

7

5fc65d07436a36562558424b717923385efb4e0c

34,287

py

Python

paragen/modules/search/beam_search.py

godweiyang/ParaGen

9665d1244ea38a41fc06b4e0a7f6411985e2221f

[ "Apache-2.0" ]

50

2022-01-18T07:25:46.000Z

2022-03-14T13:06:18.000Z

paragen/modules/search/beam_search.py

JiangtaoFeng/ParaGen

509334bf16e3674e009bb9dc37ecc38ae3b5c977

[ "Apache-2.0" ]

2

2022-01-19T09:36:42.000Z

2022-02-23T07:16:02.000Z

paragen/modules/search/beam_search.py

JiangtaoFeng/ParaGen

509334bf16e3674e009bb9dc37ecc38ae3b5c977

[ "Apache-2.0" ]

6

2022-01-19T09:28:53.000Z

2022-03-10T10:20:08.000Z

import torch import torch.nn.functional as F from paragen.modules.search import register_search from paragen.modules.search.sequence_search import SequenceSearch from paragen.modules.utils import create_init_scores from paragen.utils.ops import recursive @register_search class BeamSearch(SequenceSearch): """ BeamSearch is beam search on sequence generation. Args: beam: beam size lenpen: length penalty maxlen_coef (a, b): maxlen computation coefficient. The max length is computed as `(S * a + b)`, where S is source sequence length. maxlen: maximum length num_return_sequence: the number of return generated sequence for each input sample, which must smaller or equal to beam size, default as 1 to return the sequence with the highest log probability keepdim: bool, squeeze the output sequence if set True """ def __init__(self, beam=4, lenpen=0.1, maxlen_coef=(1.2, 10), maxlen=1000, num_return_sequence=1, keepdim=False): super().__init__() self._beam = beam self._lenpen = lenpen self._maxlen = maxlen self._maxlen_a, self._maxlen_b = maxlen_coef self._num_return_sequence = num_return_sequence self._keepdim = keepdim self._expand_cache = recursive(self._expand_tensor) self._update_cache = recursive(self._update_tensor) assert self._num_return_sequence <= self._beam, \ f"number of return sequence <= beam size, got {self.num_return_sequence} > {self._beam}" def forward(self, tokens, memory, memory_padding_mask, target_mask=None, prev_scores=None): """ Decoding full-step sequence with beam search Args: tokens: previous tokens or prefix of sequence :math:`(N, T)` where N is batch size and T is current sequence length memory: memory for attention. :math:`(M, N, E)`, where M is the memory sequence length, N is the batch size, memory_padding_mask: memory sequence padding mask. :math:`(N, M)` where M is the memory sequence length, N is the batch size. target_mask: target mask indicating blacklist tokens :math:`(N, V)` where N is batch size and V is vocab size prev_scores: scores of previous tokens :math:`(N)` where N is batch size Returns: - log probability of generated sequence :math: `(N, S)` where N is batch size and S is the number of return sequence - generated sequence :math: `(N, S, maxT)` where N is batch size, maxT is the maximum sequence length and S is the number of return sequence `(N, maxT)` if self.keepdim=True and S = 1 """ batch_size, curlen = tokens.size(0), tokens.size(1) memory_size = memory_padding_mask.size(-1) scores = create_init_scores(tokens, memory) if prev_scores is None else prev_scores # produce the first token logits = self._decoder(tokens, memory, memory_padding_mask=memory_padding_mask)[:, -1, :] logits = F.log_softmax(logits, dim=-1) next_token_score, next_token = logits.topk(self._beam, dim=-1) scores = scores.unsqueeze(-1) + next_token_score next_token = next_token.unsqueeze(dim=-1) tokens = torch.cat([tokens.unsqueeze(dim=1).repeat(1, self._beam, 1), next_token], dim=-1) # copy cache and memory for 'beam' times memory, memory_padding_mask = self._expand(memory, memory_padding_mask) # generate rest of tokens maxlen = min(int(memory_size * self._maxlen_a + self._maxlen_b) - curlen, self._maxlen) finished = tokens.data.new(batch_size, 1, maxlen + curlen + 1).fill_(self._eos) finished_scores = scores.data.new(batch_size, 1).fill_(float('-inf')) for _ in range(maxlen - 1): tokens, scores = self._produce_candidates(tokens, memory, memory_padding_mask, scores) finished_mask = tokens[:, :, -1] == self._eos finished, finished_scores = self._add_finished(finished, finished_scores, tokens, scores, finished_mask) tokens, scores = self._update_states(tokens, scores, finished_mask) if not self._keepdim and self._num_return_sequence == 1: finished = finished.squeeze(dim=1) return finished_scores, finished def _produce_candidates(self, tokens, memory, memory_padding_mask, scores): """ Predict `beam**2 * 2` candidates at next step Args: tokens: previous tokens or prefix of sequence at time step T :math:`(N, B, T)` where N is batch size, B is beam size and T is current sequence length memory: memory for attention. :math:`(M, N * B, E)`, where M is the memory sequence length, N is the batch size, B is beam size and E is feature size memory_padding_mask: memory sequence padding mask. :math:`(N * B, M)` where M is the memory sequence length, N is the batch size, B is beam size. scores: scores of previous tokens :math:`(N * B)` where N is batch size and B is beam size. Returns: - candidate tokens at time step T+1 :math:`(N, B * B * 2, T+1)` where N is batch size, B is beam size and T is current sequence length - log probablity of candidate tokens :math:`(N, B * B * 2)` where N is batch size and B is beam size. """ seqlen = tokens.size(-1) logits = self._decoder(tokens.view(-1, seqlen), memory, memory_padding_mask=memory_padding_mask)[:, -1, :] logits = F.log_softmax(logits, dim=-1) next_token_score, next_token = logits.topk(self._beam * 2, dim=-1) next_token_score = next_token_score.view(-1, self._beam, self._beam * 2) scores = scores.unsqueeze(dim=2) + next_token_score scores = scores.view(-1, self._beam ** 2 * 2) tokens = torch.cat([tokens.unsqueeze(dim=2).repeat(1, 1, self._beam * 2, 1), next_token.view(-1, self._beam, self._beam * 2, 1)], dim=-1) tokens = tokens.view(-1, self._beam ** 2 * 2, seqlen + 1) return tokens, scores def _add_finished(self, finished, finished_scores, tokens, scores, finished_mask): """ Select new finished sequences and add them to finished list. Args: finished: finished sequences ending with eos :math:`(N, S, maxT)` where N is batch size, maxT is the maximum sequence length S is the number of return sequence finished_scores: log probability of finished sequence :math:`(N, S)` where N is batch size and B is beam size S is the number of return sequence tokens: newly-generated sequences :math:`(N, B * B * 2, T)` where N is batch size, B is beam size and T is decoded sequence length scores: log probability of newly-generated sequences :math:`(N, B)` where N is batch size, B is beam size. finished_mask: mask indicating which sequences in `tokens` ends with eos :math:`(N, B)` where N is batch size and B is beam size Returns: - updated finished sequences :math:`(N, S, maxT)` where N is batch size, B is beam size, maxT is the maximum sequence length S is the number of return sequence - log probability of updated finished sequence :math:`(N, S)` where N is batch size and B is beam size. S is the number of return sequence """ maxlen = finished.size(dim=-1) curlen = tokens.size(dim=-1) non_finished_mask = ~finished_mask scores = scores / ((5 + curlen) / 6)**self._lenpen scores = scores.masked_fill(non_finished_mask, float('-inf')) tokens = torch.cat([tokens, tokens.data.new(tokens.size()[:-1] + ((maxlen - curlen),)).fill_(self._eos)], dim=-1) finished_scores = torch.cat([finished_scores, scores], dim=1) finished = torch.cat([finished, tokens], dim=1) finished_scores, idx = finished_scores.topk(self._num_return_sequence, dim=1) finished = finished.gather(1, index=idx.unsqueeze(dim=-1).repeat(1, 1, maxlen)) return finished, finished_scores def _update_states(self, tokens, scores, finished_mask): """ Update decoder internal states with results preferred by beam search algorithm Args: tokens: newly-generated sequences :math:`(N, B * B * 2, T)` where N is batch size, B is beam size and T is sequence length scores: log probability of newly-generated sequences :math:`(N, B * B * 2)` where N is batch size, B is beam size. finished_mask: mask indicating which sequences in `tokens` ends with eos :math:`(N, B * B * 2)` where N is batch size and B is beam size Returns: - updated sequences :math: `(N, B, T)` where N is batch size, B is beam size and T is sequence length - scores of updated sequences :math: `(N, B)` where N is batch size, B is beam size """ curlen = tokens.size(dim=-1) scores = scores.masked_fill(finished_mask, float('-inf')) scores, idx = scores.topk(self._beam, dim=-1) tokens = tokens.gather(1, index=idx.unsqueeze(2).repeat(1, 1, curlen)) cache = self._decoder.get_cache() cache = self._update_cache(cache, idx) self._decoder.set_cache(cache) return tokens, scores def _expand(self, memory, memory_padding_mask): """ Expand encoder states with `beam` times Args: memory: memory for attention. :math:`(M, N, E)`, where M is the memory sequence length, N is the batch size, B is beam size and E is feature size memory_padding_mask: memory sequence padding mask. :math:`(N, M)` where M is the memory sequence length, N is the batch size, B is beam size. Returns: - expanded memory :math:`(M, N * B, E)`, where M is the memory sequence length, N is the batch size, B is beam size and E is feature size - expanded memory padding mask :math:`(N * B, M)` where M is the memory sequence length, N is the batch size, B is beam size. """ batch_size, memory_size = memory_padding_mask.size() cache = self._decoder.get_cache() cache = self._expand_cache(cache) self._decoder.set_cache(cache) memory = memory.unsqueeze(dim=2).repeat(1, 1, self._beam, 1) memory = memory.view(memory_size, batch_size * self._beam, -1) memory_padding_mask = memory_padding_mask.unsqueeze(dim=1).repeat(1, self._beam, 1) memory_padding_mask = memory_padding_mask.view(batch_size * self._beam, memory_size) return memory, memory_padding_mask def _expand_tensor(self, cache: torch.Tensor): """ Expand tensor with `beam` times after batch dimension Args: cache: torch tensor :math:`(M, N, *)` where M is the memory sequence length, N is the batch size. Returns: - expanded cache :math:`(M, N * B, *)` where M is the memory sequence length, N is the batch size, B is beam size. """ size = cache.size() repeat = (1, 1, self._beam) + tuple(1 for _ in size[2:]) cache = cache.unsqueeze(2).repeat(repeat).view((size[0], size[1] * self._beam,) + size[2:]) return cache def _update_tensor(self, cache: torch.Tensor, idx): """ Update tensor by indexing with idx Args: cache: torch tensor :math:`(M, N * B * B, E)` where M is the memory sequence length, N is the batch size, B is beam size, and E is feature dimension. idx: index to select :math:`(N, B)` where N is the batch size and B is beam size. Returns: - indexed cache :math:`(M, N * B, E)` where N is the batch size, B is beam size and E is feature dimension. """ size = cache.size() idx = idx // (self._beam * 2) cache = cache.view(size[0], size[1] // self._beam, self._beam, size[-1]) idx = idx.unsqueeze(0).unsqueeze(-1).repeat((size[0], 1, 1, size[-1])) cache = cache.gather(2, index=idx) cache = cache.view(size[0], size[1], size[-1]) return cache @register_search class BeamSearchV2(SequenceSearch): """ BeamSearchV2 is beam search on sequence generation. Different from V1, V2 is another implementation of beam search, reducing beam search candidates at next step from beam * beam * 2 to beam * 2. Args: beam: beam size lenpen: length penalty maxlen_coef (a, b): maxlen computation coefficient. The max length is computed as `(S * a + b)`, where S is source sequence length. maxlen: maximum length num_return_sequence: the number of return generated sequence for each input sample, which must smaller or equal to beam size, default as 1 to return the sequence with the highest log probability keepdim: bool, squeeze the output sequence if set True """ def __init__(self, beam=4, lenpen=0.1, maxlen_coef=(1.2, 10), maxlen=1000, num_return_sequence=1, keepdim=False): super().__init__() self._beam = beam self._lenpen = lenpen self._maxlen = maxlen self._maxlen_a, self._maxlen_b = maxlen_coef self._num_return_sequence = num_return_sequence self._keepdim = keepdim self._update_cache = recursive(self._update_tensor) assert self._num_return_sequence <= self._beam, \ f"number of return sequence <= beam size, got {self.num_return_sequence} > {self._beam}" def forward(self, tokens, memory, memory_padding_mask, target_mask=None, prev_scores=None): """ Decoding full-step sequence with beam search Args: tokens: previous tokens or prefix of sequence :math:`(N, T)` where N is batch size and T is current sequence length memory: memory for attention. :math:`(M, N, E)`, where M is the memory sequence length, N is the batch size, memory_padding_mask: memory sequence padding mask. :math:`(N, M)` where M is the memory sequence length, N is the batch size. target_mask: target mask indicating blacklist tokens :math:`(N, V)` where N is batch size and V is vocab size prev_scores: scores of previous tokens :math:`(N)` where N is batch size Returns: - log probability of generated sequence :math: `(N, S)` where N is batch size and S is the number of return sequence - generated sequence :math: `(N, S, maxT)` where N is batch size, maxT is the maximum sequence length and S is the number of return sequence `(N, maxT)` if self.keepdim=True and S = 1 """ batch_size, curlen = tokens.size(0), tokens.size(1) memory_size = memory_padding_mask.size(-1) # copy token and memory for 'beam' times tokens = self._expand(tokens, dim=0) # [N * B, T] memory = self._expand(memory, dim=1) # [M, N * B, E] memory_padding_mask = self._expand(memory_padding_mask, dim=0) # [N * B, M] if prev_scores is None: scores = create_init_scores(tokens, memory) # [N * B] else: scores = self._expand(prev_scores, dim=1) # [N * B] # generate rest of tokens maxlen = min(int(memory_size * self._maxlen_a + self._maxlen_b) - curlen, self._maxlen) finished = tokens.data.new(batch_size, 1, maxlen + curlen + 1).fill_(self._eos) finished_scores = scores.data.new(batch_size, 1).fill_(float('-inf')) for step in range(maxlen - 1): tokens, scores, idx = self._produce_candidates(tokens, memory, memory_padding_mask, scores, step) finished_mask = tokens[:, :, -1] == self._eos finished, finished_scores = self._add_finished(finished, finished_scores, tokens, scores, finished_mask) tokens, scores = self._update_states(tokens, scores, idx, finished_mask) if not self._keepdim and self._num_return_sequence == 1: finished = finished.squeeze(dim=1) return finished_scores, finished def _produce_candidates(self, tokens, memory, memory_padding_mask, scores, step): """ Predict `beam * 2` candidates at next step Args: tokens: previous tokens or prefix of sequence at time step T :math:`(N * B, T)` where N is batch size, B is beam size and T is current sequence length memory: memory for attention. :math:`(M, N * B, E)`, where M is the memory sequence length, N is the batch size, B is beam size and E is feature size memory_padding_mask: memory sequence padding mask. :math:`(N * B, M)` where M is the memory sequence length, N is the batch size, B is beam size. scores: scores of previous tokens :math:`(N * B)` where N is batch size and B is beam size. step: decoding steps Returns: - candidate tokens at time step T+1 :math:`(N, B * B * 2, T+1)` where N is batch size, B is beam size and T is current sequence length - log probablity of candidate tokens :math:`(N, B * B * 2)` where N is batch size and B is beam size. """ batch_size, seqlen = tokens.size(0) // self._beam, tokens.size(-1) logits = self._decoder(tokens, memory, memory_padding_mask=memory_padding_mask)[:, -1, :] logits = F.log_softmax(logits, dim=-1) vocab_size = logits.size(-1) tokens = tokens.view(batch_size, self._beam, seqlen) scores = scores.unsqueeze(dim=-1) + logits scores = scores.view(batch_size, -1) if step == 0: scores = scores[:, :vocab_size] scores, next_id = scores.topk(self._beam * 2, dim=-1) next_token_batch_id, next_token = next_id // vocab_size, next_id % vocab_size prev_tokens = tokens.gather(1, next_token_batch_id.unsqueeze(dim=-1).repeat(1, 1, seqlen)) tokens = torch.cat([prev_tokens, next_token.unsqueeze(dim=-1)], dim=-1) return tokens, scores, next_token_batch_id def _add_finished(self, finished, finished_scores, tokens, scores, finished_mask): """ Select new finished sequences and add them to finished list. Args: finished: finished sequences ending with eos :math:`(N, S, maxT)` where N is batch size, maxT is the maximum sequence length S is the number of return sequence finished_scores: log probability of finished sequence :math:`(N, S)` where N is batch size and B is beam size S is the number of return sequence tokens: newly-generated sequences :math:`(N, B * B * 2, T)` where N is batch size, B is beam size and T is decoded sequence length scores: log probability of newly-generated sequences :math:`(N, B)` where N is batch size, B is beam size. finished_mask: mask indicating which sequences in `tokens` ends with eos :math:`(N, B)` where N is batch size and B is beam size Returns: - updated finished sequences :math:`(N, S, maxT)` where N is batch size, B is beam size, maxT is the maximum sequence length S is the number of return sequence - log probability of updated finished sequence :math:`(N, S)` where N is batch size and B is beam size. S is the number of return sequence """ maxlen = finished.size(dim=-1) curlen = tokens.size(dim=-1) non_finished_mask = ~finished_mask scores = scores / ((5 + curlen) / 6) ** self._lenpen scores = scores.masked_fill(non_finished_mask, float('-inf')) tokens = torch.cat([tokens, tokens.data.new(tokens.size()[:-1] + ((maxlen - curlen),)).fill_(self._eos)], dim=-1) finished_scores = torch.cat([finished_scores, scores], dim=1) finished = torch.cat([finished, tokens], dim=1) finished_scores, idx = finished_scores.topk(self._num_return_sequence, dim=1) finished = finished.gather(1, index=idx.unsqueeze(dim=-1).repeat(1, 1, maxlen)) return finished, finished_scores def _update_states(self, tokens, scores, index, finished_mask): """ Update decoder internal states with results preferred by beam search algorithm Args: tokens: newly-generated sequences :math:`(N, B * 2, T)` where N is batch size, B is beam size and T is sequence length scores: log probability of newly-generated sequences :math:`(N, B * 2)` where N is batch size, B is beam size. index: selected beam indices :math:`(N, B * 2)` where N is batch size, B is beam size finished_mask: mask indicating which sequences in `tokens` ends with eos :math:`(N, B * 2)` where N is batch size and B is beam size Returns: - updated sequences :math: `(N, B, T)` where N is batch size, B is beam size and T is sequence length - scores of updated sequences :math: `(N, B)` where N is batch size, B is beam size """ curlen = tokens.size(dim=-1) scores = scores.masked_fill(finished_mask, float('-inf')) scores, idx = scores.topk(self._beam, dim=-1) tokens = tokens.gather(1, index=idx.unsqueeze(2).repeat(1, 1, curlen)) cache = self._decoder.get_cache() cache = self._update_cache(cache, index, idx) self._decoder.set_cache(cache) return tokens.view(-1, curlen), scores.view(-1) def _expand(self, tensor, dim): """ Expand encoder states with `beam` times Args: tensor: a torch tensor Returns: - expanded tensor """ tensor_shape = tensor.size() tensor = tensor.unsqueeze(dim=dim+1).repeat( (1,) * (dim+1) + (self._beam, ) + (1, ) * (len(tensor_shape) - (dim+1))) tensor = tensor.view( tuple(tensor_shape[:dim]) + (tensor_shape[dim] * self._beam,) + tuple(tensor_shape[dim+1:])) return tensor def _update_tensor(self, cache: torch.Tensor, beam_index, non_finished_index): """ Update tensor by indexing with idx Args: cache: torch tensor :math:`(M, N * B * B, E)` where M is the memory sequence length, N is the batch size, B is beam size, and E is feature dimension. beam_index: index to select in top B * 2 :math:`(N, B)` where N is the batch size and B is beam size. non_finished_index: index to select in top B :math:`(N, B)` where N is the batch size and B is beam size. Returns: - indexed cache :math:`(M, N * B, E)` where N is the batch size, B is beam size and E is feature dimension. """ size = cache.size() cache = cache.view(size[0], size[1] // self._beam, self._beam, size[-1]) idx = beam_index.unsqueeze(0).unsqueeze(-1).repeat((size[0], 1, 1, size[-1])) cache = cache.gather(2, index=idx) idx = non_finished_index // (self._beam * 2) idx = idx.unsqueeze(0).unsqueeze(-1).repeat((size[0], 1, 1, size[-1])) cache = cache.gather(2, index=idx) cache = cache.view(size[0], size[1], size[-1]) return cache @register_search class BeamSearchV3(SequenceSearch): """ BeamSearchV3 is beam search on sequence generation. Different from V1 and V2, V3 use another strategy to implement beam search by ranking finished and unfinished candidates all together. Args: beam: beam size lenpen: length penalty maxlen_coef (a, b): maxlen computation coefficient. The max length is computed as `(S * a + b)`, where S is source sequence length. maxlen: maximum length num_return_sequence: the number of return generated sequence for each input sample, which must smaller or equal to beam size, default as 1 to return the sequence with the highest log probability keepdim: bool, squeeze the output sequence if set True """ def __init__(self, beam=4, lenpen=0.1, maxlen_coef=(1.2, 10), maxlen=1000, num_return_sequence=1, keepdim=False): super().__init__() self._beam = beam self._lenpen = lenpen self._maxlen = maxlen self._maxlen_a, self._maxlen_b = maxlen_coef self._num_return_sequence = num_return_sequence self._keepdim = keepdim self._update_cache = recursive(self._update_tensor) assert self._num_return_sequence <= self._beam, \ f"number of return sequence <= beam size, got {self.num_return_sequence} > {self._beam}" def forward(self, tokens, memory, memory_padding_mask, target_mask=None, prev_scores=None): """ Decoding full-step sequence with beam search Args: tokens: previous tokens or prefix of sequence :math:`(N, T)` where N is batch size and T is current sequence length memory: memory for attention. :math:`(M, N, E)`, where M is the memory sequence length, N is the batch size, memory_padding_mask: memory sequence padding mask. :math:`(N, M)` where M is the memory sequence length, N is the batch size. target_mask: target mask indicating blacklist tokens :math:`(N, V)` where N is batch size and V is vocab size prev_scores: scores of previous tokens :math:`(N)` where N is batch size Returns: - log probability of generated sequence :math: `(N, S)` where N is batch size and S is the number of return sequence - generated sequence :math: `(N, S, maxT)` where N is batch size, maxT is the maximum sequence length and S is the number of return sequence `(N, maxT)` if self.keepdim=True and S = 1 """ batch_size, curlen = tokens.size(0), tokens.size(1) memory_size = memory_padding_mask.size(-1) # copy token and memory for 'beam' times tokens = self._expand(tokens, dim=0) # [N * B, T] memory = self._expand(memory, dim=1) # [M, N * B, E] memory_padding_mask = self._expand(memory_padding_mask, dim=0) # [N * B, M] if prev_scores is None: scores = create_init_scores(tokens, memory) # [N * B] else: scores = self._expand(prev_scores, dim=1) # [N * B] # generate rest of tokens maxlen = min(int(memory_size * self._maxlen_a + self._maxlen_b) - curlen, self._maxlen) for step in range(maxlen - 1): tokens, scores, idx = self._produce_candidates(tokens, memory, memory_padding_mask, scores, step) self._update_states(idx) scores = scores.view(batch_size, self._beam)[:, :self._num_return_sequence] tokens = tokens.view(batch_size, self._beam, -1)[:, :self._num_return_sequence, :] if not self._keepdim and self._num_return_sequence == 1: tokens = tokens.squeeze(dim=1) return scores, tokens def _produce_candidates(self, tokens, memory, memory_padding_mask, scores, step): """ Predict `beam` candidates at next step Args: tokens: previous tokens or prefix of sequence at time step T :math:`(N * B, T)` where N is batch size, B is beam size and T is current sequence length memory: memory for attention. :math:`(M, N * B, E)`, where M is the memory sequence length, N is the batch size, B is beam size and E is feature size memory_padding_mask: memory sequence padding mask. :math:`(N * B, M)` where M is the memory sequence length, N is the batch size, B is beam size. scores: scores of previous tokens :math:`(N * B)` where N is batch size and B is beam size. step: decoding steps Returns: - candidate tokens at time step T+1 :math:`(N, B * B, T+1)` where N is batch size, B is beam size and T is current sequence length - log probability of candidate tokens :math:`(N, B * B)` where N is batch size and B is beam size. """ batch_size, seqlen = tokens.size(0) // self._beam, tokens.size(-1) logits = self._decoder(tokens, memory, memory_padding_mask=memory_padding_mask)[:, -1, :] logits = F.log_softmax(logits, dim=-1) finished = tokens[:, -1].eq(self._eos).type_as(logits) logits[:, self._eos] *= 1 - finished vocab_size = logits.size(-1) tokens = tokens.view(batch_size, self._beam, seqlen) scores = scores.unsqueeze(dim=-1) + logits scores = scores.view(batch_size, self._beam, -1) normalized_scores = self._normalize(tokens, scores) normalized_scores = normalized_scores.view(batch_size, -1) if step == 0: normalized_scores = normalized_scores[:, :vocab_size] _, next_id = normalized_scores.topk(self._beam, dim=-1) next_token_batch_id, next_token = next_id // vocab_size, next_id % vocab_size scores = scores.view(batch_size, -1) scores = scores.gather(1, next_id) prev_tokens = tokens.gather(1, next_token_batch_id.unsqueeze(dim=-1).repeat(1, 1, seqlen)) tokens = torch.cat([prev_tokens, next_token.unsqueeze(dim=-1)], dim=-1) return tokens.view(-1, seqlen + 1), scores.view(-1), next_token_batch_id def _normalize(self, tokens, scores): """ Select new finished sequences and add them to finished list. Args: tokens: newly-generated sequences :math:`(N, B * B, T)` where N is batch size, B is beam size and T is decoded sequence length scores: log probability of newly-generated sequences :math:`(N, B)` where N is batch size, B is beam size. Returns: - updated finished sequences :math:`(N, S, maxT)` where N is batch size, B is beam size, maxT is the maximum sequence length S is the number of return sequence - log probability of updated finished sequence :math:`(N, S)` where N is batch size and B is beam size. S is the number of return sequence """ length = tokens.ne(self._eos).type_as(scores).sum(dim=-1, keepdim=True) - 1 scores = scores / ((5 + length) / 6) ** self._lenpen return scores def _update_states(self, index): """ Update decoder internal states with results preferred by beam search algorithm Args: index: selected beam indices :math:`(N, B)` where N is batch size, B is beam size Returns: - updated sequences :math: `(N, B, T)` where N is batch size, B is beam size and T is sequence length - scores of updated sequences :math: `(N, B)` where N is batch size, B is beam size """ cache = self._decoder.get_cache() cache = self._update_cache(cache, index) self._decoder.set_cache(cache) def _expand(self, tensor, dim): """ Expand encoder states with `beam` times Args: tensor: a torch tensor Returns: - expanded tensor """ tensor_shape = tensor.size() tensor = tensor.unsqueeze(dim=dim+1).repeat( (1,) * (dim+1) + (self._beam, ) + (1, ) * (len(tensor_shape) - (dim+1))) tensor = tensor.view( tuple(tensor_shape[:dim]) + (tensor_shape[dim] * self._beam,) + tuple(tensor_shape[dim+1:])) return tensor def _update_tensor(self, cache: torch.Tensor, index): """ Update tensor by indexing with idx Args: cache: torch tensor :math:`(M, N * B * B, E)` where M is the memory sequence length, N is the batch size, B is beam size, and E is feature dimension. index: index to select in top B :math:`(N, B)` where N is the batch size and B is beam size. Returns: - indexed cache :math:`(M, N * B, E)` where N is the batch size, B is beam size and E is feature dimension. """ size = cache.size() cache = cache.view(size[0], size[1] // self._beam, self._beam, size[-1]) idx = index.unsqueeze(0).unsqueeze(-1).repeat((size[0], 1, 1, size[-1])) cache = cache.gather(2, index=idx) cache = cache.view(size[0], size[1], size[-1]) return cache

46.712534

119

0.59594

4,650

34,287

4.268602

0.046022

0.048516

0.026601

0.034914

0.911734

0.898383

0.883218

0.863721

0.849413

0.83576

0

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0.307959

34,287

733

120

46.776262

0.82371

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0.730496

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1

0.078014

false

0

0.021277

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0.173759

0

null

0

1

0

1

0

null

0

7

5fd04d83cd065c4acf385a9fee056a5fee9b4ad6

1,126

py

Python

teaser/data/output/citygml_classes.py

linuscuy/TEASER

5bba638a6df0dd9c41de9036d42490c24497e04b

[ "MIT" ]

null

teaser/data/output/citygml_classes.py

linuscuy/TEASER

5bba638a6df0dd9c41de9036d42490c24497e04b

[ "MIT" ]

null

teaser/data/output/citygml_classes.py

linuscuy/TEASER

5bba638a6df0dd9c41de9036d42490c24497e04b

[ "MIT" ]

null

# collection of CityGML namespaces for file creation and getting versions of inputed files class CGML1: core = 'http://www.opengis.net/citygml/1.0' gen = 'http://www.opengis.net/citygml/generics/1.0' grp = 'http://www.opengis.net/citygml/cityobjectgroup/1.0' app = 'http://www.opengis.net/citygml/appearance/1.0' bldg = 'http://www.opengis.net/citygml/building/1.0' gml = 'http://www.opengis.net/gml' xal = 'urn:oasis:names:tc:ciq:xsdschema:xAL:2.0' xlink = 'http://www.w3.org/1999/xlink' xsi = 'http://www.w3.org/2001/XMLSchema-instance' class CGML2: xsi = 'http://www.w3.org/2001/XMLSchema-instance' core = 'http://www.opengis.net/citygml/2.0' energy = 'http://www.sig3d.org/citygml/2.0/energy/1.0' gen = 'http://www.opengis.net/citygml/generics/2.0' grp = 'http://www.opengis.net/citygml/cityobjectgroup/2.0' app = 'http://www.opengis.net/citygml/appearance/2.0' bldg = 'http://www.opengis.net/citygml/building/2.0' gml = 'http://www.opengis.net/gml' xal = 'urn:oasis:names:tc:ciq:xsdschema:xAL:2.0' xlink = 'http://www.w3.org/1999/xlink'

36.322581

90

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178

1,126

4.213483

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0.158667

0.224

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1,126

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1

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null

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1

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8

398c632b20d559fe36d3db2fb23bb026f421ab81

6,554

py

Python

data/datasets.py

linyq17/IV-REID

6d9eec0f1f086e9bd55fbbe01647f31571df224c

[ "MIT" ]

2

2019-12-12T10:53:17.000Z

2020-11-17T11:38:28.000Z

data/datasets.py

linyq17/IV-REID

6d9eec0f1f086e9bd55fbbe01647f31571df224c

[ "MIT" ]

2

2020-11-30T15:43:48.000Z

2021-06-29T07:52:16.000Z

data/datasets.py

linyq17/IV-REID

6d9eec0f1f086e9bd55fbbe01647f31571df224c

[ "MIT" ]

1

2020-01-30T08:17:39.000Z

import os.path as osp import configparser from PIL import Image import torch from torch.utils.data import Dataset from torch.utils.data import DataLoader class ImageDataset(Dataset): """Image Person ReID Dataset""" def __init__(self, dataset, transform=None): self.dataset = dataset self.transform = transform def __len__(self): return len(self.dataset) def __getitem__(self, index): img_path, pid, camid = self.dataset[index] got_img = False if not osp.exists(img_path): raise IOError("{} does not exist".format(img_path)) while not got_img: try: img = Image.open(img_path).convert('RGB') got_img = True except IOError: print("IOError incurred when reading '{}'. Will redo. Don't worry. Just chill.".format(img_path)) pass if self.transform is not None: img = self.transform(img) return img, pid, camid, img_path class SYSU_ImageDataset(Dataset): """Image Person ReID Dataset""" def __init__(self, dataset, transform=None ): self.dataset = dataset self.transform = transform self.RGB_cam = [1,2,4,5] self.fake_data_root = '/home/lyq/Desktop/dataset/Reid/SYSU-MM/fake/' self.grey_data_root = '/home/lyq/Desktop/dataset/Reid/SYSU-MM/grey/' def __len__(self): return len(self.dataset) def __getitem__(self, index): img_path, pid, camid = self.dataset[index] got_real_img = False if not osp.exists(img_path): raise IOError("{} does not exist".format(img_path)) while not got_real_img: try: img = Image.open(img_path).convert('RGB') got_real_img = True except IOError: print("IOError incurred when reading '{}'. Will redo. Don't worry. Just chill.".format(img_path)) pass if self.transform is not None: img = self.transform(img) # if camid in self.RGB_cam: # got_fake_img = False # fake_img_path = self.fake_data_root + ''.join(img_path.split('/')[-3:]).split('.')[0] + '_fake_B.png' # if not osp.exists(fake_img_path): # raise IOError("{} does not exist".format(fake_img_path)) # while not got_fake_img: # try: # fake_img = Image.open(fake_img_path).convert('RGB') # got_fake_img = True # except IOError: # print("IOError incurred when reading '{}'. Will redo. Don't worry. Just chill.".format(img_path)) # pass # if self.transform is not None: # fake_img = self.transform(fake_img) # got_grey_img = False # grey_img_path = self.grey_data_root + '/'.join(img_path.split('/')[-3:]).split('.')[0] + '.png' # if not osp.exists(grey_img_path): # raise IOError("{} does not exist".format(grey_img_path)) # while not got_grey_img: # try: # grey_img = Image.open(grey_img_path).convert('RGB') # got_grey_img = True # except IOError: # print("IOError incurred when reading '{}'. Will redo. Don't worry. Just chill.".format(img_path)) # pass # if self.transform is not None: # grey_img = self.transform(grey_img) # return {'real': img, 'fake': fake_img, 'grey': grey_img}, pid, camid, {'real': img_path, 'fake': fake_img_path, 'grey': grey_img_path} # else: return {'real': img}, pid, camid, {'real': img_path} class RegDB_ImageDataset(Dataset): """Image Person ReID Dataset""" def __init__(self, dataset, transform=None): self.dataset = dataset self.transform = transform self.RGB_cam = [2] self.fake_data_root = '/home/lyq/Desktop/dataset/Reid/RegDB/fake/' self.grey_data_root = '/home/lyq/Desktop/dataset/Reid/RegDB/Visible_grey/' def __len__(self): return len(self.dataset) def __getitem__(self, index): img_path, pid, camid = self.dataset[index] # print(img_path, pid, camid) got_real_img = False if not osp.exists(img_path): raise IOError("{} does not exist".format(img_path)) while not got_real_img: try: img = Image.open(img_path).convert('RGB') got_real_img = True except IOError: print("IOError incurred when reading '{}'. Will redo. Don't worry. Just chill.".format(img_path)) pass if self.transform is not None: img = self.transform(img) # if camid in self.RGB_cam: # got_fake_img = False # fake_img_path = self.fake_data_root + ''.join(img_path.split('/')[-2:]).split('.')[0] + '_fake_B.bmp' # if not osp.exists(fake_img_path): # raise IOError("{} does not exist".format(fake_img_path)) # while not got_fake_img: # try: # fake_img = Image.open(fake_img_path).convert('RGB') # got_fake_img = True # except IOError: # print("IOError incurred when reading '{}'. Will redo. Don't worry. Just chill.".format(img_path)) # pass # if self.transform is not None: # fake_img = self.transform(fake_img) # got_grey_img = False # grey_img_path = self.grey_data_root + '/'.join(img_path.split('/')[-2:]).split('.')[0] + '.png' # if not osp.exists(grey_img_path): # raise IOError("{} does not exist".format(grey_img_path)) # while not got_grey_img: # try: # grey_img = Image.open(grey_img_path).convert('RGB') # got_grey_img = True # except IOError: # print("IOError incurred when reading '{}'. Will redo. Don't worry. Just chill.".format(img_path)) # pass # if self.transform is not None: # grey_img = self.transform(grey_img) # return {'real': img, 'fake': fake_img, 'grey': grey_img}, pid, camid, {'real': img_path, 'fake': fake_img_path, 'grey': grey_img_path} # else: return {'real': img }, pid, camid, {'real': img_path }

43.693333

148

0.556454

807

6,554

4.287485

0.105328

0.099133

0.037572

0.028324

0.949711

0.934971

0.932081

0.900289

0

0.002929

0.322704

6,554

149

43.986577

0.776526

0.50412

0

0.746667

0

0.14767

0.056675

0

1

0.12

false

0.04

0.08

0.04

0.32

0.04

0

null

0

1

0

1

0

null

0

7

39b465680722226350d311ca5b6c1e9a69db9d1b

274

py

Python

Python/t908.py

manhong2112/CodeColle

9233376608ee57005d563bab5b05541dc1262d90

[ "WTFPL" ]

null

Python/t908.py

manhong2112/CodeColle

9233376608ee57005d563bab5b05541dc1262d90

[ "WTFPL" ]

null

Python/t908.py

manhong2112/CodeColle

9233376608ee57005d563bab5b05541dc1262d90

[ "WTFPL" ]

null

print(end="\t") for i in range(1, 10): print(i, end="\t") print() for i in range(1, 10): print(i, end="\t") for j in range(1, 10): print(i * j, end="\t") print() for i in range(1, 10): for j in range(1, 10): print(i, "*", j, '=', i * j)

19.571429

36

0.470803

53

274

2.433962

0.188679

0.271318

0.310078

0.387597

0.914729

0.372093

0

0.07732

0.291971

274

13

37

21.076923

0.587629

0

0.75

0

0.036496

0

1

0

false

0

0.583333

0

null

1

0

1

0

null

0

1

0

10

f2f35b4608624f7f49b50c5c2f13c1bba67b7ae2

347,202

py

Python

hearthstonecarddetector/__init__.py

russon77/hearthstonecarddetector

602968c784834b6f06830bc63014fa2fdba9893d

[ "MIT" ]

null

hearthstonecarddetector/__init__.py

russon77/hearthstonecarddetector

602968c784834b6f06830bc63014fa2fdba9893d

[ "MIT" ]

null

hearthstonecarddetector/__init__.py

russon77/hearthstonecarddetector

602968c784834b6f06830bc63014fa2fdba9893d

[ "MIT" ]

null

from imagehash import ImageHash, phash import numpy class ErrorThresholdReachedException(Exception): pass # thanks to https://github.com/JohannesBuchner/imagehash/issues/20 def _hex_to_hash(hexstr): """ Convert a stored hash (hex, as retrieved from str(Imagehash)) back to a Imagehash object. """ l = [] if len(hexstr) != 2*(16*16)/8: raise ValueError('The hex string has the wrong length') for i in range(0, int(16*16/8)): h = hexstr[i*2:i*2+2] v = int("0x" + h, 16) l.append([v & 2**i > 0 for i in range(8)]) return ImageHash(numpy.array(l).reshape((16,16))) def card_image_to_id(card_image, preferred_hash=phash, max_error=None): """ given a PIL Image object, find the closest Hearthstone card match and return its card id. :param card_image: PIL Image object :param preferred_hash: one of imagehash's phash, dhash, whash, or average_hash :param max_error: percent error calculated by (diff(input, closest) / diff(input, furthest)). if exceeded, raise ErrorThresholdReachedException :return: card id of closest match found """ card_image_hash = preferred_hash(card_image, 16) sort = sorted(db["cards"], key=lambda x: card_image_hash - _hex_to_hash(x[preferred_hash.__name__])) if max_error is not None: percent_error = (abs(card_image_hash - _hex_to_hash(sort[0][preferred_hash.__name__])) / (abs(card_image_hash - _hex_to_hash(sort[-1][preferred_hash.__name__])))) if percent_error > max_error: raise ErrorThresholdReachedException return sort[0]['card_id'] """ when the module is loaded, load our database file into memory. the database is essential because it contains the different hash values for each card. """ db = {"cards": [{"dhash": "468f087c05ef1c98bb605f0fbedc7401c1624084b4827d1ddb3a66560c87d13e", "average_hash": "f921fb03f80ff80ff00fc42ffc7efc7d9833b80018101816980798030108011c", "name": "Pompous Thespian", "phash": "c3f3735ada4bb6a5b7951dcf6ef992d1499266ce818c186609c960ba4ce40ca7", "mana": 2, "whash": "f9a1f987f80ff84ff40fe43ffc7ffc7fbc33bc101c10981698079803010e013c", "card_id": "KAR_011"}, {"dhash": "cae3ccce111c0a3135cf584bb0b6404d86b2314de3aa7c05dd390a708485652a", "average_hash": "779cffb8fbb8dcb18c79e425b56465506d404100c10458465806080101020100", "name": "Cyclopian Horror", "phash": "77c76731ef6173867e98cbb86cb218988c8c1cc40e93cbc473846be49ca1736e", "mana": 4, "whash": "7f9cffb8fbb8ddb98cb9ed75edf665516f414944c154d946780e448301820320", "card_id": "OG_337"}, {"dhash": "88810d1f30c4030074c2703d83fa3ff575c26f84df08fe3fe02f0c7d5bf8ffc7", "average_hash": "0f7c47e0e381c300000000000000f800fc00f801f019f87f807fa03ff077f8cf", "name": "Headcrack", "phash": "f3f53e443d027328c7e18c92032b8cf80b0b3a954b50933c7bec9ccaf39e36f8", "mana": 3, "whash": "ffff47f0e383c330002000801000f803fc01f801f91bf9ffa07fe07ff0fff8df", "card_id": "EX1_137"}, {"dhash": "fcccad39d2f3044679c086de09015356aeac5c1d8932714923b086e06947139e", "average_hash": "07110b632be7384fbccf87dbc343c3734316230723c313cf10c310c212061618", "name": "Trade Prince Gallywix", "phash": "9989bf0ec673fe983e0416911bc9462601e192a1ebeb5bd07c2c36b5db1ac76c", "mana": 6, "whash": "0f530f6f2be7386fbcdf87dbcb43c2534307031f239331df10c3384212879e1c", "card_id": "GVG_028"}, {"dhash": "feb8e84520be54eda3522f93d4c38d171b4d829a04a43f58d923b05748a1f16f", "average_hash": "07c6038e034fc04fc00fe00fe01fc00fc30df001f001f400fc00fc1039001900", "name": "Poisoned Blade", "phash": "7bd35d48ce2636335d1167ec36e4b1b61be784eda22c36b40df926c93324d620", "mana": 4, "whash": "07c60feef7cfc74fc10fe0bfe09fc28fe38ff001f001fc00fc00fd5039007ba4", "card_id": "AT_034"}, {"dhash": "3cc0ec3f217f4afeb5f853f1afe259c7b78e7f1dc62b3c4730b7e16f8389053e", "average_hash": "070103808101f007e007e00ff00ff00ff01ff01fe01fe01fe01fc01f801f811f", "name": "Wisp", "phash": "79f8d6508e172f819e810688290001a0129293e1ebf0d3e17f89ffd9ffcabeed", "mana": 0, "whash": "0f110ba093a3f087e007f00ff05ff05ff05ff01fe03fe01fe01fe01fc11f811f", "card_id": "CS2_231"}, {"dhash": "08f20c8ec1598bc5363a4d76ba0c74f1d992b36548cb18163734ea6884813137", "average_hash": "371f9b9dc1ade835783cec3e7c3e1c3e7c3e6c3d183918280020000000002102", "name": "Clockwork Knight", "phash": "e9976b96fe205f4b4b6887a08f0441acc3b086f0329c3a6cbe61dce1cf83ebe4", "mana": 5, "whash": "ff1fdfbdc3bde8b57c3cfc3efc7e3c7efc7f6c3d182918281020000001032107", "card_id": "AT_096"}, {"dhash": "f88ffdff20f00f00fc06904b30b6447cfbd0e6019827326c67c00c0e1f58f8b3", "average_hash": "0700e303f31f807f807f022c06640e003e090e300678067f023f263f1c39f83f", "name": "Inner Rage", "phash": "adf05612f9e5bf8806135e7034220651494804ac4b164fd95b623eb77bcdf73f", 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8431e4302be3cd87914505146a030a24f59e6144

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py

Python

consume/views.py

majorblackc/LLINS-Hackathon-g5

9deb1ee64a05c97adfe7f7796f7e04a4fbd3a4f6

[ "Apache-2.0" ]

4

2022-02-05T07:26:55.000Z

2022-02-09T05:56:57.000Z

consume/views.py

majorblackc/LLINS-Hackathon-g5

9deb1ee64a05c97adfe7f7796f7e04a4fbd3a4f6

[ "Apache-2.0" ]

null

consume/views.py

majorblackc/LLINS-Hackathon-g5

9deb1ee64a05c97adfe7f7796f7e04a4fbd3a4f6

[ "Apache-2.0" ]

2

2022-02-05T03:56:36.000Z

2022-02-05T07:25:10.000Z

from django.shortcuts import render # Create your views here. from django.shortcuts import render import urllib,json # Create your views here. url='https://c630-41-89-192-24.ngrok.io/patients' url2='https://c630-41-89-192-24.ngrok.io/nets' def dashboard(request): res=urllib.request.urlopen(url) res2=urllib.request.urlopen(url2) patientdata=json.loads(res.read()) netsdata=json.loads(res2.read()) labels=[] years=[] months=[] counties=[] budgeted=0 issued=0 pending=0 PatientsReceived2019=[] PatientsNets2019=[] PatientswithoutNets2019=[] labels2=[] years2=[] months2=[] counties2=[] netsIssued=[] netsProvided=[] totalCounties=[] totalPatientsReceived2019Kisumu=0 totalPatientsNets2019Kisumu=0 totalPatientswithoutNets2019Kisumu=0 totalPatientsReceived2019Busia=0 totalPatientsNets2019Busia=0 totalPatientswithoutNets2019Busia=0 totalPatientsReceived2019Vihiga=0 totalPatientsNets2019Vihiga=0 totalPatientswithoutNets2019Vihiga=0 for data in patientdata: if data['Year'] == 2019: labelling=data['County'] +'('+str(data['Month']) +')' labels.append(labelling) years.append (data['Year']) counties.append (data['County']) months.append (data['Month']) PatientsReceived2019.append (data['PatientsReceived']) PatientsNets2019.append (data['PatientsNets']) PatientswithoutNets2019.append (data['PatientswithoutNets']) pending+=data['PatientswithoutNets'] for data in netsdata: if data['Year'] == 2019: labelling=data['County'] +'('+str(data['Month']) +')' labels2.append(labelling) years2.append (data['Year']) counties2.append (data['County']) months2.append (data['Month']) netsIssued.append(data['netsIssued']) netsProvided.append(data['netsProvided']) issued+=data['netsIssued'] budgeted+=data['netsProvided'] return render(request,'dashboard.html',{'datas':patientdata, 'labels':labels,'years':years,'months':months,'counties':counties, 'PatientsReceived2019':PatientsReceived2019,'PatientsNets2019':PatientsNets2019,'PatientswithoutNets2019':PatientswithoutNets2019, 'datas2':netsdata, 'labels2':labels2,'years2':years2,'months2':months2,'counties2':counties2, 'netsIssued':netsIssued,'netsProvided':netsProvided, 'issued':issued,'budgeted':budgeted,'pending':pending }) def kisumu(request): res=urllib.request.urlopen(url) res2=urllib.request.urlopen(url2) patientdata=json.loads(res.read()) netsdata=json.loads(res2.read()) labels=[] years=[] months=[] counties=[] PatientsReceived2019=[] PatientsNets2019=[] PatientswithoutNets2019=[] labels2=[] years2=[] months2=[] counties2=[] netsIssued=[] netsProvided=[] budgeted=0 issued=0 pending=0 kisumupatientsreceived = 0 # busiapatientswithoutnets # busiapatientswithnets for data in patientdata: if data['Year'] == 2019: if data['County'] == 'kisumu': labelling=data['County'] +'('+str(data['Month']) +')' labels.append(labelling) years.append (data['Year']) counties.append (data['County']) months.append (data['Month']) PatientsReceived2019.append (data['PatientsReceived']) PatientsNets2019.append (data['PatientsNets']) PatientswithoutNets2019.append (data['PatientswithoutNets']) pending+=data['PatientswithoutNets'] for data in netsdata: if data['Year'] == 2019: if data['County'] == 'kisumu': labelling=data['County'] +'('+str(data['Month']) +')' labels2.append(labelling) years2.append (data['Year']) counties2.append (data['County']) months2.append (data['Month']) netsIssued.append(data['netsIssued']) netsProvided.append(data['netsProvided']) issued+=data['netsIssued'] budgeted+=data['netsProvided'] return render(request,'kisumu.html',{'datas':patientdata, 'labels':labels,'years':years,'months':months,'counties':counties, 'PatientsReceived2019':PatientsReceived2019,'PatientsNets2019':PatientsNets2019,'PatientswithoutNets2019':PatientswithoutNets2019, 'datas2':netsdata, 'labels2':labels2,'years2':years2,'months2':months2,'counties2':counties2, 'netsIssued':netsIssued,'netsProvided':netsProvided, 'issued':issued,'budgeted':budgeted,'pending':pending }) def vihiga(request): res=urllib.request.urlopen(url) res2=urllib.request.urlopen(url2) patientdata=json.loads(res.read()) netsdata=json.loads(res2.read()) labels=[] years=[] months=[] counties=[] PatientsReceived2019=[] PatientsNets2019=[] PatientswithoutNets2019=[] labels2=[] years2=[] months2=[] counties2=[] netsIssued=[] netsProvided=[] budgeted=0 issued=0 pending=0 for data in patientdata: if data['Year'] == 2019: if data['County'] == 'vihiga': labelling=data['County'] +'('+str(data['Month']) +')' labels.append(labelling) years.append (data['Year']) counties.append (data['County']) months.append (data['Month']) PatientsReceived2019.append (data['PatientsReceived']) PatientsNets2019.append (data['PatientsNets']) PatientswithoutNets2019.append (data['PatientswithoutNets']) pending+=data['PatientswithoutNets'] for data in netsdata: if data['Year'] == 2019: if data['County'] == 'vihiga': labelling=data['County'] +'('+str(data['Month']) +')' labels2.append(labelling) years2.append (data['Year']) counties2.append (data['County']) months2.append (data['Month']) netsIssued.append(data['netsIssued']) netsProvided.append(data['netsProvided']) issued+=data['netsIssued'] budgeted+=data['netsProvided'] return render(request,'vihiga.html',{'datas':patientdata, 'labels':labels,'years':years,'months':months,'counties':counties, 'PatientsReceived2019':PatientsReceived2019,'PatientsNets2019':PatientsNets2019,'PatientswithoutNets2019':PatientswithoutNets2019, 'datas2':netsdata, 'labels2':labels2,'years2':years2,'months2':months2,'counties2':counties2, 'netsIssued':netsIssued,'netsProvided':netsProvided, 'issued':issued,'budgeted':budgeted,'pending':pending }) def busia(request): res=urllib.request.urlopen(url) res2=urllib.request.urlopen(url2) patientdata=json.loads(res.read()) netsdata=json.loads(res2.read()) labels=[] years=[] months=[] counties=[] PatientsReceived2019=[] PatientsNets2019=[] PatientswithoutNets2019=[] labels2=[] years2=[] months2=[] counties2=[] netsIssued=[] netsProvided=[] budgeted=0 issued=0 pending=0 for data in patientdata: if data['Year'] == 2019: if data['County'] == 'busia': labelling=data['County'] +'('+str(data['Month']) +')' labels.append(labelling) years.append (data['Year']) counties.append (data['County']) months.append (data['Month']) PatientsReceived2019.append (data['PatientsReceived']) PatientsNets2019.append (data['PatientsNets']) PatientswithoutNets2019.append (data['PatientswithoutNets']) pending+=data['PatientswithoutNets'] for data in netsdata: if data['Year'] == 2019: if data['County'] == 'busia': labelling=data['County'] +'('+str(data['Month']) +')' labels2.append(labelling) years2.append (data['Year']) counties2.append (data['County']) months2.append (data['Month']) netsIssued.append(data['netsIssued']) netsProvided.append(data['netsProvided']) issued+=data['netsIssued'] budgeted+=data['netsProvided'] return render(request,'busia.html',{'datas':patientdata, 'labels':labels,'years':years,'months':months,'counties':counties, 'PatientsReceived2019':PatientsReceived2019,'PatientsNets2019':PatientsNets2019,'PatientswithoutNets2019':PatientswithoutNets2019, 'datas2':netsdata, 'labels2':labels2,'years2':years2,'months2':months2,'counties2':counties2, 'netsIssued':netsIssued,'netsProvided':netsProvided, 'issued':issued,'budgeted':budgeted,'pending':pending })

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1

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null

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7

08436ce6ef107134335bf66875a92a6cddee444f

3,901

py

Python

forms/migrations/0004_auto_20150309_1358.py

opendatadurban/gmmp

cc64fdedcf6e04b0377dc8ad7a7d34bae17ec575

[ "Apache-2.0" ]

4

2020-01-05T09:14:19.000Z

2022-02-17T03:22:09.000Z

forms/migrations/0004_auto_20150309_1358.py

opendatadurban/gmmp

cc64fdedcf6e04b0377dc8ad7a7d34bae17ec575

[ "Apache-2.0" ]

68

2019-12-23T02:19:55.000Z

2021-04-23T06:13:36.000Z

forms/migrations/0004_auto_20150309_1358.py

OpenUpSA/gmmp

d82a4be0787c3a3a9e27dc590d7974f9f884fbb6

[ "Apache-2.0" ]

2

2019-07-25T11:53:10.000Z

2020-06-22T02:07:40.000Z

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations class Migration(migrations.Migration): dependencies = [ ('forms', '0003_auto_20150309_1340'), ] operations = [ migrations.RemoveField( model_name='internetnewsperson', name='age', ), migrations.RemoveField( model_name='internetnewsperson', name='is_photograph', ), migrations.RemoveField( model_name='internetnewsperson', name='is_quoted', ), migrations.RemoveField( model_name='internetnewsperson', name='occupation_other', ), migrations.RemoveField( model_name='internetnewsperson', name='survivor_comments', ), migrations.RemoveField( model_name='internetnewsperson', name='victim_comments', ), migrations.RemoveField( model_name='newspaperperson', name='occupation_other', ), migrations.RemoveField( model_name='newspaperperson', name='survivor_comments', ), migrations.RemoveField( model_name='newspaperperson', name='victim_comments', ), migrations.RemoveField( model_name='radioperson', name='age', ), migrations.RemoveField( model_name='radioperson', name='is_photograph', ), migrations.RemoveField( model_name='radioperson', name='is_quoted', ), migrations.RemoveField( model_name='radioperson', name='occupation_other', ), migrations.RemoveField( model_name='radioperson', name='survivor_comments', ), migrations.RemoveField( model_name='radioperson', name='victim_comments', ), migrations.RemoveField( model_name='televisionperson', name='is_photograph', ), migrations.RemoveField( model_name='televisionperson', name='is_quoted', ), migrations.RemoveField( model_name='televisionperson', name='occupation_other', ), migrations.RemoveField( model_name='televisionperson', name='survivor_comments', ), migrations.RemoveField( model_name='televisionperson', name='victim_comments', ), migrations.RemoveField( model_name='twitterperson', name='age', ), migrations.RemoveField( model_name='twitterperson', name='family_role', ), migrations.RemoveField( model_name='twitterperson', name='function', ), migrations.RemoveField( model_name='twitterperson', name='is_quoted', ), migrations.RemoveField( model_name='twitterperson', name='occupation', ), migrations.RemoveField( model_name='twitterperson', name='occupation_other', ), migrations.RemoveField( model_name='twitterperson', name='survivor_comments', ), migrations.RemoveField( model_name='twitterperson', name='survivor_of', ), migrations.RemoveField( model_name='twitterperson', name='victim_comments', ), migrations.RemoveField( model_name='twitterperson', name='victim_of', ), migrations.RemoveField( model_name='twitterperson', name='victim_or_survivor', ), ]

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1

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null

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7

f24ccc6b7533be4baea2c8145ba35ca5586e0ab6

10,724

py

Python

glocaltokens/google/internal/home/foyer/v1_pb2_grpc.py

DurgNomis-drol/glocaltokens

f2f4c960db243588e01a6be612bc743c748d60a5

[ "MIT" ]

17

2021-01-05T20:43:03.000Z

2022-02-06T04:17:43.000Z

glocaltokens/google/internal/home/foyer/v1_pb2_grpc.py

DurgNomis-drol/glocaltokens

f2f4c960db243588e01a6be612bc743c748d60a5

[ "MIT" ]

80

2021-01-04T15:48:55.000Z

2022-03-01T12:10:20.000Z

glocaltokens/google/internal/home/foyer/v1_pb2_grpc.py

DurgNomis-drol/glocaltokens

f2f4c960db243588e01a6be612bc743c748d60a5

[ "MIT" ]

9

2021-01-29T16:40:04.000Z

2021-12-01T14:25:56.000Z

# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT! """Client and server classes corresponding to protobuf-defined services.""" from __future__ import annotations import grpc from glocaltokens.google.internal.home.foyer import ( v1_pb2 as glocaltokens_dot_google_dot_internal_dot_home_dot_foyer_dot_v1__pb2, ) class HomeControlServiceStub: """Home Control Service""" def __init__(self, channel): """Constructor. Args: channel: A grpc.Channel. """ self.GetAssistantRoutines = channel.unary_stream( "/google.internal.home.foyer.v1.HomeControlService/GetAssistantRoutines", request_serializer=glocaltokens_dot_google_dot_internal_dot_home_dot_foyer_dot_v1__pb2.GetAssistantRoutinesRequest.SerializeToString, response_deserializer=glocaltokens_dot_google_dot_internal_dot_home_dot_foyer_dot_v1__pb2.GetAssistantRoutinesResponse.FromString, ) class HomeControlServiceServicer: """Home Control Service""" def GetAssistantRoutines(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details("Method not implemented!") raise NotImplementedError("Method not implemented!") def add_HomeControlServiceServicer_to_server(servicer, server): rpc_method_handlers = { "GetAssistantRoutines": grpc.unary_stream_rpc_method_handler( servicer.GetAssistantRoutines, request_deserializer=glocaltokens_dot_google_dot_internal_dot_home_dot_foyer_dot_v1__pb2.GetAssistantRoutinesRequest.FromString, response_serializer=glocaltokens_dot_google_dot_internal_dot_home_dot_foyer_dot_v1__pb2.GetAssistantRoutinesResponse.SerializeToString, ), } generic_handler = grpc.method_handlers_generic_handler( "google.internal.home.foyer.v1.HomeControlService", rpc_method_handlers ) server.add_generic_rpc_handlers((generic_handler,)) # This class is part of an EXPERIMENTAL API. class HomeControlService: """Home Control Service""" @staticmethod def GetAssistantRoutines( request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None, ): return grpc.experimental.unary_stream( request, target, "/google.internal.home.foyer.v1.HomeControlService/GetAssistantRoutines", glocaltokens_dot_google_dot_internal_dot_home_dot_foyer_dot_v1__pb2.GetAssistantRoutinesRequest.SerializeToString, glocaltokens_dot_google_dot_internal_dot_home_dot_foyer_dot_v1__pb2.GetAssistantRoutinesResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata, ) class StructuresServiceStub: """Structure Service""" def __init__(self, channel): """Constructor. Args: channel: A grpc.Channel. """ self.GetHomeGraph = channel.unary_unary( "/google.internal.home.foyer.v1.StructuresService/GetHomeGraph", request_serializer=glocaltokens_dot_google_dot_internal_dot_home_dot_foyer_dot_v1__pb2.GetHomeGraphRequest.SerializeToString, response_deserializer=glocaltokens_dot_google_dot_internal_dot_home_dot_foyer_dot_v1__pb2.GetHomeGraphResponse.FromString, ) class StructuresServiceServicer: """Structure Service""" def GetHomeGraph(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details("Method not implemented!") raise NotImplementedError("Method not implemented!") def add_StructuresServiceServicer_to_server(servicer, server): rpc_method_handlers = { "GetHomeGraph": grpc.unary_unary_rpc_method_handler( servicer.GetHomeGraph, request_deserializer=glocaltokens_dot_google_dot_internal_dot_home_dot_foyer_dot_v1__pb2.GetHomeGraphRequest.FromString, response_serializer=glocaltokens_dot_google_dot_internal_dot_home_dot_foyer_dot_v1__pb2.GetHomeGraphResponse.SerializeToString, ), } generic_handler = grpc.method_handlers_generic_handler( "google.internal.home.foyer.v1.StructuresService", rpc_method_handlers ) server.add_generic_rpc_handlers((generic_handler,)) # This class is part of an EXPERIMENTAL API. class StructuresService: """Structure Service""" @staticmethod def GetHomeGraph( request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None, ): return grpc.experimental.unary_unary( request, target, "/google.internal.home.foyer.v1.StructuresService/GetHomeGraph", glocaltokens_dot_google_dot_internal_dot_home_dot_foyer_dot_v1__pb2.GetHomeGraphRequest.SerializeToString, glocaltokens_dot_google_dot_internal_dot_home_dot_foyer_dot_v1__pb2.GetHomeGraphResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata, ) class HomeDevicesServiceStub: """Home Devices Service""" def __init__(self, channel): """Constructor. Args: channel: A grpc.Channel. """ self.GetAssistantDeviceSettings = channel.unary_stream( "/google.internal.home.foyer.v1.HomeDevicesService/GetAssistantDeviceSettings", request_serializer=glocaltokens_dot_google_dot_internal_dot_home_dot_foyer_dot_v1__pb2.GetAssistantDeviceSettingsRequest.SerializeToString, response_deserializer=glocaltokens_dot_google_dot_internal_dot_home_dot_foyer_dot_v1__pb2.GetAssistantDeviceSettingsResponse.FromString, ) self.UpdateAssistantDeviceSettings = channel.unary_stream( "/google.internal.home.foyer.v1.HomeDevicesService/UpdateAssistantDeviceSettings", request_serializer=glocaltokens_dot_google_dot_internal_dot_home_dot_foyer_dot_v1__pb2.UpdateAssistantDeviceSettingsRequest.SerializeToString, response_deserializer=glocaltokens_dot_google_dot_internal_dot_home_dot_foyer_dot_v1__pb2.UpdateAssistantDeviceSettingsResponse.FromString, ) class HomeDevicesServiceServicer: """Home Devices Service""" def GetAssistantDeviceSettings(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details("Method not implemented!") raise NotImplementedError("Method not implemented!") def UpdateAssistantDeviceSettings(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details("Method not implemented!") raise NotImplementedError("Method not implemented!") def add_HomeDevicesServiceServicer_to_server(servicer, server): rpc_method_handlers = { "GetAssistantDeviceSettings": grpc.unary_stream_rpc_method_handler( servicer.GetAssistantDeviceSettings, request_deserializer=glocaltokens_dot_google_dot_internal_dot_home_dot_foyer_dot_v1__pb2.GetAssistantDeviceSettingsRequest.FromString, response_serializer=glocaltokens_dot_google_dot_internal_dot_home_dot_foyer_dot_v1__pb2.GetAssistantDeviceSettingsResponse.SerializeToString, ), "UpdateAssistantDeviceSettings": grpc.unary_stream_rpc_method_handler( servicer.UpdateAssistantDeviceSettings, request_deserializer=glocaltokens_dot_google_dot_internal_dot_home_dot_foyer_dot_v1__pb2.UpdateAssistantDeviceSettingsRequest.FromString, response_serializer=glocaltokens_dot_google_dot_internal_dot_home_dot_foyer_dot_v1__pb2.UpdateAssistantDeviceSettingsResponse.SerializeToString, ), } generic_handler = grpc.method_handlers_generic_handler( "google.internal.home.foyer.v1.HomeDevicesService", rpc_method_handlers ) server.add_generic_rpc_handlers((generic_handler,)) # This class is part of an EXPERIMENTAL API. class HomeDevicesService: """Home Devices Service""" @staticmethod def GetAssistantDeviceSettings( request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None, ): return grpc.experimental.unary_stream( request, target, "/google.internal.home.foyer.v1.HomeDevicesService/GetAssistantDeviceSettings", glocaltokens_dot_google_dot_internal_dot_home_dot_foyer_dot_v1__pb2.GetAssistantDeviceSettingsRequest.SerializeToString, glocaltokens_dot_google_dot_internal_dot_home_dot_foyer_dot_v1__pb2.GetAssistantDeviceSettingsResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata, ) @staticmethod def UpdateAssistantDeviceSettings( request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None, ): return grpc.experimental.unary_stream( request, target, "/google.internal.home.foyer.v1.HomeDevicesService/UpdateAssistantDeviceSettings", glocaltokens_dot_google_dot_internal_dot_home_dot_foyer_dot_v1__pb2.UpdateAssistantDeviceSettingsRequest.SerializeToString, glocaltokens_dot_google_dot_internal_dot_home_dot_foyer_dot_v1__pb2.UpdateAssistantDeviceSettingsResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata, )

38.714801

156

0.718482

1,011

10,724

7.183976

0.117705

0.017899

0.072284

0.08261

0.832576

0.825279

0.750792

0.744871

0.728074

0

0.007496

0.216337

10,724

276

157

38.855072

0.856735

0.076651

0

0.616505

1

0

0.101253

0.079072

0

1

0.067961

false

0

0.014563

0.019417

0.145631

0

null

0

1

0

1

0

null

0

7

f24df20b375c4f83335b655f37a58dd7f0a837ab

4,486

py

Python

computational_block/one/tests/fixtures.py

spectrum-dev/django-block-monolith

c17a1ef98ae813a4e94581e2e52a4a03f0e65769

[ "MIT" ]

null

computational_block/one/tests/fixtures.py

spectrum-dev/django-block-monolith

c17a1ef98ae813a4e94581e2e52a4a03f0e65769

[ "MIT" ]

null

computational_block/one/tests/fixtures.py

spectrum-dev/django-block-monolith

c17a1ef98ae813a4e94581e2e52a4a03f0e65769

[ "MIT" ]

null

DATA_BLOCK = [ { "timestamp": "01/01/2020", "timezone": "UTC/EST", "open": "10.00", "high": "10.00", "low": "10.00", "close": "10.00", "volume": "10.00", }, { "timestamp": "01/02/2020", "timezone": "UTC/EST", "open": "11.00", "high": "11.00", "low": "11.00", "close": "11.00", "volume": "11.00", }, { "timestamp": "01/03/2020", "timezone": "UTC/EST", "open": "12.00", "high": "12.00", "low": "12.00", "close": "12.00", "volume": "12.00", }, { "timestamp": "01/04/2020", "timezone": "UTC/EST", "open": "13.00", "high": "13.00", "low": "13.00", "close": "13.00", "volume": "13.00", }, { "timestamp": "01/05/2020", "timezone": "UTC/EST", "open": "14.00", "high": "14.00", "low": "14.00", "close": "14.00", "volume": "14.00", }, ] INTRADAY_DATA_BLOCK = [ { "timestamp": "01/01/2020T09:30:00.000000000", "timezone": "UTC/EST", "open": "10.00", "high": "10.00", "low": "10.00", "close": "10.00", "volume": "10.00", }, { "timestamp": "01/01/2020T09:40:00.000000000", "timezone": "UTC/EST", "open": "11.00", "high": "11.00", "low": "11.00", "close": "11.00", "volume": "11.00", }, { "timestamp": "01/01/2020T09:50:00.000000000", "timezone": "UTC/EST", "open": "12.00", "high": "12.00", "low": "12.00", "close": "12.00", "volume": "12.00", }, { "timestamp": "01/01/2020T10:00:00.000000000", "timezone": "UTC/EST", "open": "13.00", "high": "13.00", "low": "13.00", "close": "13.00", "volume": "13.00", }, { "timestamp": "01/01/2020T10:10:00.000000000", "timezone": "UTC/EST", "open": "14.00", "high": "14.00", "low": "14.00", "close": "14.00", "volume": "14.00", }, ] INTRADAY_TWO_DAYS_DATA_BLOCK = [ { "timestamp": "01/01/2020T09:30:00.000000000", "timezone": "UTC/EST", "open": "10.00", "high": "10.00", "low": "10.00", "close": "10.00", "volume": "10.00", }, { "timestamp": "01/01/2020T09:40:00.000000000", "timezone": "UTC/EST", "open": "11.00", "high": "11.00", "low": "11.00", "close": "11.00", "volume": "11.00", }, { "timestamp": "01/01/2020T09:50:00.000000000", "timezone": "UTC/EST", "open": "12.00", "high": "12.00", "low": "12.00", "close": "12.00", "volume": "12.00", }, { "timestamp": "01/01/2020T10:00:00.000000000", "timezone": "UTC/EST", "open": "13.00", "high": "13.00", "low": "13.00", "close": "13.00", "volume": "13.00", }, { "timestamp": "01/01/2020T10:10:00.000000000", "timezone": "UTC/EST", "open": "14.00", "high": "14.00", "low": "14.00", "close": "14.00", "volume": "14.00", }, { "timestamp": "01/02/2020T09:30:00.000000000", "timezone": "UTC/EST", "open": "15.00", "high": "15.00", "low": "15.00", "close": "15.00", "volume": "15.00", }, { "timestamp": "01/02/2020T09:40:00.000000000", "timezone": "UTC/EST", "open": "14.00", "high": "14.00", "low": "14.00", "close": "14.00", "volume": "14.00", }, { "timestamp": "01/02/2020T09:50:00.000000000", "timezone": "UTC/EST", "open": "13.00", "high": "13.00", "low": "13.00", "close": "13.00", "volume": "13.00", }, { "timestamp": "01/02/2020T10:00:00.000000000", "timezone": "UTC/EST", "open": "13.00", "high": "13.00", "low": "13.00", "close": "13.00", "volume": "13.00", }, { "timestamp": "01/02/2020T10:10:00.000000000", "timezone": "UTC/EST", "open": "14.00", "high": "14.00", "low": "14.00", "close": "14.00", "volume": "14.00", }, ]

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null

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1

0

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0

null

0

9

f27c45439000e773cfc51c8563b7700733e68359

88

py

Python

ips/ip/button_hold/__init__.py

zld012739/zldrepository

5635b78a168956091676ef4dd99fa564be0e5ba0

[ "MIT" ]

null

ips/ip/button_hold/__init__.py

zld012739/zldrepository

5635b78a168956091676ef4dd99fa564be0e5ba0

[ "MIT" ]

null

ips/ip/button_hold/__init__.py

zld012739/zldrepository

5635b78a168956091676ef4dd99fa564be0e5ba0

[ "MIT" ]

null

from button_hold_partial import get_ip_name from button_hold_partial import BUTTON_HOLD

29.333333

43

0.909091

15

88

4.866667

0.533333

0.410959

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null

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1

0

1

0

1

0

8

4b07f086f9a673b0711c94fa37fa8af8974364f0

14,566

py

Python

setup.py

JustinSGray/OpenMDAO-CADRE

d8378a8a571179990531d8a409efe727cbdf2bb7

[ "Apache-2.0" ]

1

2021-07-11T19:15:22.000Z

setup.py

JustinSGray/OpenMDAO-CADRE

d8378a8a571179990531d8a409efe727cbdf2bb7

[ "Apache-2.0" ]

null

setup.py

JustinSGray/OpenMDAO-CADRE

d8378a8a571179990531d8a409efe727cbdf2bb7

[ "Apache-2.0" ]

1

2015-11-19T18:18:01.000Z

# # This file is autogenerated during plugin quickstart and overwritten during # plugin makedist. DO NOT CHANGE IT if you plan to use plugin makedist to update # the distribution. # from setuptools import setup, find_packages kwargs = {'author': 'Tristan A. Hearn', 'author_email': 'tristan.a.hearn@nasa.gov', 'classifiers': ['Intended Audience :: Science/Research', 'Topic :: Scientific/Engineering'], 'description': 'OpenMDAO implementation of the CADRE CubeSat design problem', 'download_url': '', 'entry_points': u'[openmdao.component]\nCADRE.solar.Solar_ExposedArea=CADRE.solar:Solar_ExposedArea\nCADRE.comm.Comm_GainPattern=CADRE.comm:Comm_GainPattern\nCADRE.orbit.Orbit_Dynamics=CADRE.orbit:Orbit_Dynamics\nCADRE.attitude.Attitude_Attitude=CADRE.attitude:Attitude_Attitude\nCADRE.comm.Comm_VectorECI=CADRE.comm:Comm_VectorECI\nCADRE.attitude.Attitude_Angular=CADRE.attitude:Attitude_Angular\nCADRE.reactionwheel.ReactionWheel_Power=CADRE.reactionwheel:ReactionWheel_Power\nCADRE.comm.Comm_BitRate=CADRE.comm:Comm_BitRate\nCADRE.orbit.Orbit_Initial=CADRE.orbit:Orbit_Initial\nCADRE.reactionwheel.ReactionWheel_Torque=CADRE.reactionwheel:ReactionWheel_Torque\nCADRE.reactionwheel.ReactionWheel_Dynamics=CADRE.reactionwheel:ReactionWheel_Dynamics\nCADRE.sun.Sun_PositionBody=CADRE.sun:Sun_PositionBody\nCADRE.comm.Comm_EarthsSpinMtx=CADRE.comm:Comm_EarthsSpinMtx\nCADRE.comm.Comm_DataDownloaded=CADRE.comm:Comm_DataDownloaded\nCADRE.CADRE_launch.Uniformity=CADRE.CADRE_launch:Uniformity\nCADRE.comm.Comm_GSposEarth=CADRE.comm:Comm_GSposEarth\nCADRE.comm.Comm_VectorBody=CADRE.comm:Comm_VectorBody\nCADRE.sun.Sun_PositionSpherical=CADRE.sun:Sun_PositionSpherical\nCADRE.attitude.Attitude_RotationMtx=CADRE.attitude:Attitude_RotationMtx\nCADRE.attitude.Attitude_Roll=CADRE.attitude:Attitude_Roll\nCADRE.power.Power_SolarPower=CADRE.power:Power_SolarPower\nCADRE.battery.BatteryConstraints=CADRE.battery:BatteryConstraints\nCADRE.attitude.Attitude_Torque=CADRE.attitude:Attitude_Torque\nCADRE.sun.Sun_PositionECI=CADRE.sun:Sun_PositionECI\nCADRE.power.Power_CellVoltage=CADRE.power:Power_CellVoltage\nCADRE.attitude.Attitude_RotationMtxRates=CADRE.attitude:Attitude_RotationMtxRates\nCADRE.battery.BatteryPower=CADRE.battery:BatteryPower\nCADRE.rk4.RK4=CADRE.rk4:RK4\nCADRE.CADRE_launch.GroundLOC=CADRE.CADRE_launch:GroundLOC\nCADRE.comm.Comm_AntRotationMtx=CADRE.comm:Comm_AntRotationMtx\nCADRE.power.Power_Total=CADRE.power:Power_Total\nCADRE.test.test_rk_deriv.RKTest=CADRE.test.test_rk_deriv:RKTest\nCADRE.CADRE_assembly.CADRE=CADRE.CADRE_assembly:CADRE\nCADRE.comm.Comm_EarthsSpin=CADRE.comm:Comm_EarthsSpin\nCADRE.comm.Comm_AntRotation=CADRE.comm:Comm_AntRotation\nCADRE.comm.Comm_VectorAnt=CADRE.comm:Comm_VectorAnt\nCADRE.comm.Comm_LOS=CADRE.comm:Comm_LOS\nCADRE.KS.KSComp=CADRE.KS:KSComp\nCADRE.reactionwheel.ReactionWheel_Motor=CADRE.reactionwheel:ReactionWheel_Motor\nCADRE.attitude.Attitude_Sideslip=CADRE.attitude:Attitude_Sideslip\nCADRE.parameters.BsplineParameters=CADRE.parameters:BsplineParameters\nCADRE.comm.Comm_VectorSpherical=CADRE.comm:Comm_VectorSpherical\nCADRE.battery.BatterySOC=CADRE.battery:BatterySOC\nCADRE.attitude.Attitude_AngularRates=CADRE.attitude:Attitude_AngularRates\nCADRE.comm.Comm_GSposECI=CADRE.comm:Comm_GSposECI\nCADRE.sun.Sun_LOS=CADRE.sun:Sun_LOS\nCADRE.CADRE_mdp.CADRE_Optimization=CADRE.CADRE_mdp:CADRE_Optimization\nCADRE.thermal_temperature.ThermalTemperature=CADRE.thermal_temperature:ThermalTemperature\nCADRE.CADRE_launch.CADRE_Launch=CADRE.CADRE_launch:CADRE_Launch\nCADRE.comm.Comm_Distance=CADRE.comm:Comm_Distance\n\n[openmdao.container]\nCADRE.solar.Solar_ExposedArea=CADRE.solar:Solar_ExposedArea\nCADRE.comm.Comm_GainPattern=CADRE.comm:Comm_GainPattern\nCADRE.orbit.Orbit_Dynamics=CADRE.orbit:Orbit_Dynamics\nCADRE.attitude.Attitude_Attitude=CADRE.attitude:Attitude_Attitude\nCADRE.comm.Comm_VectorECI=CADRE.comm:Comm_VectorECI\nCADRE.attitude.Attitude_Angular=CADRE.attitude:Attitude_Angular\nCADRE.reactionwheel.ReactionWheel_Power=CADRE.reactionwheel:ReactionWheel_Power\nCADRE.comm.Comm_BitRate=CADRE.comm:Comm_BitRate\nCADRE.orbit.Orbit_Initial=CADRE.orbit:Orbit_Initial\nCADRE.reactionwheel.ReactionWheel_Torque=CADRE.reactionwheel:ReactionWheel_Torque\nCADRE.reactionwheel.ReactionWheel_Dynamics=CADRE.reactionwheel:ReactionWheel_Dynamics\nCADRE.sun.Sun_PositionBody=CADRE.sun:Sun_PositionBody\nCADRE.comm.Comm_EarthsSpinMtx=CADRE.comm:Comm_EarthsSpinMtx\nCADRE.comm.Comm_DataDownloaded=CADRE.comm:Comm_DataDownloaded\nCADRE.CADRE_launch.Uniformity=CADRE.CADRE_launch:Uniformity\nCADRE.comm.Comm_GSposEarth=CADRE.comm:Comm_GSposEarth\nCADRE.comm.Comm_VectorBody=CADRE.comm:Comm_VectorBody\nCADRE.sun.Sun_PositionSpherical=CADRE.sun:Sun_PositionSpherical\nCADRE.attitude.Attitude_RotationMtx=CADRE.attitude:Attitude_RotationMtx\nCADRE.attitude.Attitude_Roll=CADRE.attitude:Attitude_Roll\nCADRE.power.Power_SolarPower=CADRE.power:Power_SolarPower\nCADRE.battery.BatteryConstraints=CADRE.battery:BatteryConstraints\nCADRE.attitude.Attitude_Torque=CADRE.attitude:Attitude_Torque\nCADRE.sun.Sun_PositionECI=CADRE.sun:Sun_PositionECI\nCADRE.power.Power_CellVoltage=CADRE.power:Power_CellVoltage\nCADRE.attitude.Attitude_RotationMtxRates=CADRE.attitude:Attitude_RotationMtxRates\nCADRE.battery.BatteryPower=CADRE.battery:BatteryPower\nCADRE.rk4.RK4=CADRE.rk4:RK4\nCADRE.CADRE_launch.GroundLOC=CADRE.CADRE_launch:GroundLOC\nCADRE.comm.Comm_AntRotationMtx=CADRE.comm:Comm_AntRotationMtx\nCADRE.power.Power_Total=CADRE.power:Power_Total\nCADRE.test.test_rk_deriv.RKTest=CADRE.test.test_rk_deriv:RKTest\nCADRE.CADRE_assembly.CADRE=CADRE.CADRE_assembly:CADRE\nCADRE.comm.Comm_EarthsSpin=CADRE.comm:Comm_EarthsSpin\nCADRE.comm.Comm_AntRotation=CADRE.comm:Comm_AntRotation\nCADRE.comm.Comm_VectorAnt=CADRE.comm:Comm_VectorAnt\nCADRE.comm.Comm_LOS=CADRE.comm:Comm_LOS\nCADRE.KS.KSComp=CADRE.KS:KSComp\nCADRE.reactionwheel.ReactionWheel_Motor=CADRE.reactionwheel:ReactionWheel_Motor\nCADRE.attitude.Attitude_Sideslip=CADRE.attitude:Attitude_Sideslip\nCADRE.parameters.BsplineParameters=CADRE.parameters:BsplineParameters\nCADRE.comm.Comm_VectorSpherical=CADRE.comm:Comm_VectorSpherical\nCADRE.battery.BatterySOC=CADRE.battery:BatterySOC\nCADRE.attitude.Attitude_AngularRates=CADRE.attitude:Attitude_AngularRates\nCADRE.comm.Comm_GSposECI=CADRE.comm:Comm_GSposECI\nCADRE.sun.Sun_LOS=CADRE.sun:Sun_LOS\nCADRE.CADRE_mdp.CADRE_Optimization=CADRE.CADRE_mdp:CADRE_Optimization\nCADRE.thermal_temperature.ThermalTemperature=CADRE.thermal_temperature:ThermalTemperature\nCADRE.CADRE_launch.CADRE_Launch=CADRE.CADRE_launch:CADRE_Launch\nCADRE.comm.Comm_Distance=CADRE.comm:Comm_Distance', 'include_package_data': True, 'install_requires': ['openmdao.main', 'MBI'], 'keywords': ['openmdao'], 'license': 'Apache 2.0', 'maintainer': 'Tristan A. Hearn', 'maintainer_email': 'tristan.a.hearn@nasa.gov', 'name': 'CADRE', 'package_data': {'CADRE': ['sphinx_build/html/.buildinfo', 'sphinx_build/html/.dummy', 'sphinx_build/html/full.html', 'sphinx_build/html/genindex.html', 'sphinx_build/html/glossary.html', 'sphinx_build/html/index.html', 'sphinx_build/html/launch.html', 'sphinx_build/html/objects.inv', 'sphinx_build/html/overview.html', 'sphinx_build/html/pkgdocs.html', 'sphinx_build/html/py-modindex.html', 'sphinx_build/html/roll.html', 'sphinx_build/html/search.html', 'sphinx_build/html/searchindex.js', 'sphinx_build/html/srcdocs.html', 'sphinx_build/html/_downloads/0_0_data.html', 'sphinx_build/html/_downloads/0_1_data.html', 'sphinx_build/html/_downloads/0_2_data.html', 'sphinx_build/html/_downloads/0_3_data.html', 'sphinx_build/html/_downloads/0_4_data.html', 'sphinx_build/html/_downloads/0_5_data.html', 'sphinx_build/html/_downloads/0_all_data.html', 'sphinx_build/html/_downloads/1_0_data.html', 'sphinx_build/html/_downloads/1_1_data.html', 'sphinx_build/html/_downloads/1_2_data.html', 'sphinx_build/html/_downloads/1_3_data.html', 'sphinx_build/html/_downloads/1_4_data.html', 'sphinx_build/html/_downloads/1_5_data.html', 'sphinx_build/html/_downloads/1_all_data.html', 'sphinx_build/html/_images/0_0.png', 'sphinx_build/html/_images/0_1.png', 'sphinx_build/html/_images/0_2.png', 'sphinx_build/html/_images/0_3.png', 'sphinx_build/html/_images/0_4.png', 'sphinx_build/html/_images/0_5.png', 'sphinx_build/html/_images/0_all.png', 'sphinx_build/html/_images/1_0.png', 'sphinx_build/html/_images/1_1.png', 'sphinx_build/html/_images/1_2.png', 'sphinx_build/html/_images/1_3.png', 'sphinx_build/html/_images/1_4.png', 'sphinx_build/html/_images/1_5.png', 'sphinx_build/html/_images/1_all.png', 'sphinx_build/html/_images/cadre3.jpg', 'sphinx_build/html/_images/design.png', 'sphinx_build/html/_images/launch.png', 'sphinx_build/html/_images/opt.png', 'sphinx_build/html/_images/roll_results.png', 'sphinx_build/html/_images/uniform.png', 'sphinx_build/html/_modules/index.html', 'sphinx_build/html/_modules/CADRE/attitude.html', 'sphinx_build/html/_modules/CADRE/battery.html', 'sphinx_build/html/_modules/CADRE/CADRE_assembly.html', 'sphinx_build/html/_modules/CADRE/CADRE_launch.html', 'sphinx_build/html/_modules/CADRE/CADRE_mdp.html', 'sphinx_build/html/_modules/CADRE/comm.html', 'sphinx_build/html/_modules/CADRE/kinematics.html', 'sphinx_build/html/_modules/CADRE/KS.html', 'sphinx_build/html/_modules/CADRE/orbit.html', 'sphinx_build/html/_modules/CADRE/parameters.html', 'sphinx_build/html/_modules/CADRE/power.html', 'sphinx_build/html/_modules/CADRE/reactionwheel.html', 'sphinx_build/html/_modules/CADRE/rk4.html', 'sphinx_build/html/_modules/CADRE/solar.html', 'sphinx_build/html/_modules/CADRE/sun.html', 'sphinx_build/html/_modules/CADRE/thermal_temperature.html', 'sphinx_build/html/_modules/CADRE/test/test_assembly.html', 'sphinx_build/html/_modules/CADRE/test/test_CADRE_derivs.html', 'sphinx_build/html/_modules/CADRE/test/test_components.html', 'sphinx_build/html/_modules/CADRE/test/test_derivatives.html', 'sphinx_build/html/_modules/CADRE/test/test_rk_deriv.html', 'sphinx_build/html/_sources/full.txt', 'sphinx_build/html/_sources/glossary.txt', 'sphinx_build/html/_sources/index.txt', 'sphinx_build/html/_sources/launch.txt', 'sphinx_build/html/_sources/overview.txt', 'sphinx_build/html/_sources/pkgdocs.txt', 'sphinx_build/html/_sources/roll.txt', 'sphinx_build/html/_sources/srcdocs.txt', 'sphinx_build/html/_static/_static', 'sphinx_build/html/_static/ajax-loader.gif', 'sphinx_build/html/_static/basic.css', 'sphinx_build/html/_static/comment-bright.png', 'sphinx_build/html/_static/comment-close.png', 'sphinx_build/html/_static/comment.png', 'sphinx_build/html/_static/default.css', 'sphinx_build/html/_static/doctools.js', 'sphinx_build/html/_static/down-pressed.png', 'sphinx_build/html/_static/down.png', 'sphinx_build/html/_static/file.png', 'sphinx_build/html/_static/jquery.js', 'sphinx_build/html/_static/minus.png', 'sphinx_build/html/_static/plus.png', 'sphinx_build/html/_static/pygments.css', 'sphinx_build/html/_static/searchtools.js', 'sphinx_build/html/_static/sidebar.js', 'sphinx_build/html/_static/underscore.js', 'sphinx_build/html/_static/up-pressed.png', 'sphinx_build/html/_static/up.png', 'sphinx_build/html/_static/websupport.js', 'test/__init__.py', 'test/data1346.pkl', 'test/speeds.py', 'test/test_assembly.py', 'test/test_CADRE_derivs.py', 'test/test_components.py', 'test/test_derivatives.py', 'test/test_rk_deriv.py']}, 'package_dir': {'': 'src'}, 'packages': ['CADRE', 'CADRE.data', 'CADRE.test'], 'url': 'https://github.com/OpenMDAO-Plugins/CADRE', 'version': '0.5', 'zip_safe': False} setup(**kwargs)

104.042857

6,133

0.670877

1,619

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5.757875

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0.095795

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0.006183

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104.791367

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1

0

1

null

0

7

4b0c17090afbb569c894cfe87b71e0ad864950d8

24,759

py

Python

attacks/feature.py

Equationliu/GA-Attack

b0280674a211f6451774ec6b1d4cee2fc19a4de6

[ "MIT" ]

8

2022-01-06T06:55:54.000Z

2022-03-23T09:29:54.000Z

attacks/feature.py

Equationliu/GA-Attack

b0280674a211f6451774ec6b1d4cee2fc19a4de6

[ "MIT" ]

1

2022-03-20T02:00:31.000Z

2022-03-20T04:01:53.000Z

attacks/feature.py

Equationliu/GA-Attack

b0280674a211f6451774ec6b1d4cee2fc19a4de6

[ "MIT" ]

2

2022-01-11T14:15:18.000Z

2022-01-16T13:02:55.000Z

import torch import math import numpy as np import torch.optim as optim import torch.nn.functional as F from torch.autograd import Variable from .utils import Encoder, Decoder class StyleTransferNet(object): def __init__(self): self.encoder = Encoder() self.decoder = Decoder() def decode(self, x): img = self.decoder.decode(x) # post processing for output of decoder img = self.encoder.deprocess(img) return img def encode(self, img): # Note that the pretrained vgg model accepts BGR format, but the function by default take RGB value img = self.encoder.preprocess(img) x = self.encoder.encode(img) return x def moments(content): meanC = content.mean(dim=(2, 3), keepdims=True) square_mean = torch.square(content).mean(dim=(2, 3), keepdims=True) varC = square_mean - meanC.square() return meanC, varC stn = StyleTransferNet() def DI_FSA(model, x_nature, y, args, loss_fn, random_init=False): batch_size = x_nature.shape[0] eps = args.epsilon num_steps = int(0.5 * args.num_steps * (1 + (args.intervals * math.log(args.epsilon)) / math.log(args.max_epsilon))) alpha = 1.25 * eps / args.num_steps # Natural statistics img_scaled = 255 * x_nature # encode image enc_c, _ = stn.encode(img_scaled) enc_c.requires_grad_(False) generated_img = stn.decode(enc_c) generated_img_rescaled = generated_img / 255.0 with torch.no_grad(): out = model(generated_img_rescaled, diversity=False) reconstruct_err = (out.data.max(1)[1] != y.data).float().sum() print("Batch error after Image Reconstruction: ", reconstruct_err.item()) meanC, varC = moments(enc_c) sigmaC = torch.sqrt(varC + 1e-5) sign = torch.sign(meanC) abs_meanC = torch.abs(meanC) + 1e-6 limit = 10 / torch.sqrt(torch.tensor(128.0).cuda()) if random_init: meanC_delta_rand = torch.distributions.uniform.Uniform(low = abs_meanC / eps, high = eps * abs_meanC) sigmaC_delta_rand = torch.distributions.uniform.Uniform(sigmaC / eps, eps * sigmaC) meanS_delta = Variable(meanC_delta_rand.sample(), requires_grad=True) sigmaS_delta = Variable(sigmaC_delta_rand.sample(), requires_grad=True) else: meanS_delta = Variable(abs_meanC.clone(), requires_grad=True) sigmaS_delta = Variable(sigmaC.clone(), requires_grad=True) for idx in range(num_steps): target_features = (enc_c - meanC) * sigmaS_delta / sigmaC + sign * meanS_delta # decode target features back to image generated_adv_img = stn.decode(target_features) enc_gen_adv, _ = stn.encode(generated_adv_img) generated_adv_img_rescaled = generated_adv_img / 255.0 with torch.enable_grad(): model_input = F.interpolate(generated_adv_img_rescaled, size=299, mode="nearest") logits = model(model_input, diversity=True) adv_loss = loss_fn(logits, y) # content loss content_loss = torch.square(enc_gen_adv - target_features).mean(dim = (2,3)).sum(dim = 1) adv_loss_total = adv_loss * batch_size * 128 loss = content_loss + adv_loss_total if (idx + 1) % 10 == 0: print("adv_loss_total: ", adv_loss_total) print("content_loss: ", content_loss) target_features = (enc_c - meanC) * sigmaS_delta / sigmaC + sign * meanS_delta generated_adv_img = stn.decode(target_features.detach()) / 255.0 with torch.no_grad(): out = model(generated_adv_img, diversity=False) batch_err = (out.data.max(1)[1] != y.data).float().sum() print("Batch error ", batch_err.item()) [meanS_delta_grad, sigmaS_delta_grad] = torch.autograd.grad(loss.sum(), [meanS_delta, sigmaS_delta]) # gradient clipping meanS_delta_grad = meanS_delta_grad.detach().clamp_(-1 / torch.sqrt(limit), 1 / torch.sqrt(limit)) sigmaS_delta_grad = sigmaS_delta_grad.detach().clamp_(-1 / torch.sqrt(limit), 1 / torch.sqrt(limit)) meanS_delta = Variable(meanS_delta.data - alpha * torch.sign(meanS_delta_grad), requires_grad=True) sigmaS_delta = Variable(sigmaS_delta.data - alpha * torch.sign(sigmaS_delta_grad), requires_grad=True) # clip meanS_delta = Variable(torch.max(torch.min(meanS_delta.data, eps * abs_meanC), abs_meanC / eps), requires_grad=True) sigmaS_delta = Variable(torch.max(torch.min(sigmaS_delta.data, eps * sigmaC), sigmaC / eps), requires_grad=True) target_features = (enc_c - meanC) * sigmaS_delta / sigmaC + sign * meanS_delta generated_adv_img = stn.decode(target_features.detach()) / 255.0 # budget enlarge_mean = meanS_delta / abs_meanC enlarge_sigma = sigmaS_delta / sigmaC upper_bound_mean = torch.where(enlarge_mean >= 1.0, enlarge_mean, 1 / enlarge_mean) upper_bound_sigma = torch.where(enlarge_sigma >= 1.0, enlarge_sigma, 1 / enlarge_sigma) budget = torch.max(torch.amax(upper_bound_mean, dim=(1,2,3)), torch.amax(upper_bound_sigma, dim=(1,2,3))) return F.interpolate(generated_adv_img, size=299, mode="nearest"), budget def DMI_FSA(model, x_nature, y, args, loss_fn, random_init=False): batch_size = x_nature.shape[0] eps = args.epsilon num_steps = int(0.5 * args.num_steps * (1 + (args.intervals * math.log(args.epsilon)) / math.log(args.max_epsilon))) alpha = 1.25 * eps / args.num_steps # Natural statistics img_scaled = 255 * x_nature # encode image enc_c, _ = stn.encode(img_scaled) enc_c.requires_grad_(False) generated_img = stn.decode(enc_c) generated_img_rescaled = generated_img / 255.0 with torch.no_grad(): out = model(generated_img_rescaled, diversity=False) reconstruct_err = (out.data.max(1)[1] != y.data).float().sum() print("Batch error after Image Reconstruction: ", reconstruct_err.item()) meanC, varC = moments(enc_c) sigmaC = torch.sqrt(varC + 1e-5) sign = torch.sign(meanC) abs_meanC = torch.abs(meanC) + 1e-6 limit = 10 / torch.sqrt(torch.tensor(128.0).cuda()) if random_init: meanC_delta_rand = torch.distributions.uniform.Uniform(low = abs_meanC / eps, high = eps * abs_meanC) sigmaC_delta_rand = torch.distributions.uniform.Uniform(sigmaC / eps, eps * sigmaC) meanS_delta = Variable(meanC_delta_rand.sample(), requires_grad=True) sigmaS_delta = Variable(sigmaC_delta_rand.sample(), requires_grad=True) else: meanS_delta = Variable(abs_meanC.clone(), requires_grad=True) sigmaS_delta = Variable(sigmaC.clone(), requires_grad=True) # momentum g_meanS_delta = torch.zeros_like(meanS_delta).cuda() g_sigmaS_delta = torch.zeros_like(sigmaS_delta).cuda() for idx in range(num_steps): target_features = (enc_c - meanC) * sigmaS_delta / sigmaC + sign * meanS_delta # decode target features back to image generated_adv_img = stn.decode(target_features) enc_gen_adv, _ = stn.encode(generated_adv_img) generated_adv_img_rescaled = generated_adv_img / 255.0 with torch.enable_grad(): model_input = F.interpolate(generated_adv_img_rescaled, size=299, mode="nearest") logits = model(model_input, diversity=True) adv_loss = loss_fn(logits, y) # content loss content_loss = torch.square(enc_gen_adv - target_features).mean(dim = (2,3)).sum(dim = 1) adv_loss_total = adv_loss * batch_size * 128 loss = content_loss + adv_loss_total if (idx + 1) % 10 == 0: print("adv_loss_total: ", adv_loss_total) print("content_loss: ", content_loss) target_features = (enc_c - meanC) * sigmaS_delta / sigmaC + sign * meanS_delta generated_adv_img = stn.decode(target_features.detach()) / 255.0 with torch.no_grad(): out = model(generated_adv_img, diversity=False) batch_err = (out.data.max(1)[1] != y.data).float().sum() print("Batch error ", batch_err.item()) [meanS_delta_grad, sigmaS_delta_grad] = torch.autograd.grad(loss.sum(), [meanS_delta, sigmaS_delta]) # gradient clipping meanS_delta_grad = meanS_delta_grad.detach().clamp_(-1 / torch.sqrt(limit), 1 / torch.sqrt(limit)) sigmaS_delta_grad = sigmaS_delta_grad.detach().clamp_(-1 / torch.sqrt(limit), 1 / torch.sqrt(limit)) noise_mean = meanS_delta_grad / torch.abs(meanS_delta_grad).mean(dim=(1, 2, 3), keepdim=True) g_meanS_delta = g_meanS_delta * args.momentum + noise_mean meanS_delta = Variable(meanS_delta.data - alpha * torch.sign(g_meanS_delta), requires_grad=True) noise_sigma = sigmaS_delta_grad / torch.abs(sigmaS_delta_grad).mean(dim=(1, 2, 3), keepdim=True) g_sigmaS_delta = g_sigmaS_delta * args.momentum + noise_sigma sigmaS_delta = Variable(sigmaS_delta.data - alpha * torch.sign(g_sigmaS_delta), requires_grad=True) # clip meanS_delta = Variable(torch.max(torch.min(meanS_delta.data, eps * abs_meanC), abs_meanC / eps), requires_grad=True) sigmaS_delta = Variable(torch.max(torch.min(sigmaS_delta.data, eps * sigmaC), sigmaC / eps), requires_grad=True) target_features = (enc_c - meanC) * sigmaS_delta / sigmaC + sign * meanS_delta generated_adv_img = stn.decode(target_features.detach()) / 255.0 # budget enlarge_mean = meanS_delta / abs_meanC enlarge_sigma = sigmaS_delta / sigmaC upper_bound_mean = torch.where(enlarge_mean >= 1.0, enlarge_mean, 1 / enlarge_mean) upper_bound_sigma = torch.where(enlarge_sigma >= 1.0, enlarge_sigma, 1 / enlarge_sigma) budget = torch.max(torch.amax(upper_bound_mean, dim=(1,2,3)), torch.amax(upper_bound_sigma, dim=(1,2,3))) return F.interpolate(generated_adv_img, size=299, mode="nearest"), budget def GA_DMI_FSA(model, eval_model, x_nature, y, args, loss_fn): batch_size = x_nature.shape[0] eps_list = [math.exp((idx + 1) * (math.log(args.max_epsilon) / args.intervals))for idx in range(args.intervals)] mask = torch.ones((batch_size, )).bool() num_steps = args.num_steps img_scaled = 255 * x_nature # encode image enc_c, _ = stn.encode(img_scaled) enc_c.requires_grad_(False) generated_img = stn.decode(enc_c) generated_img_rescaled = generated_img / 255.0 with torch.no_grad(): out = model(generated_img_rescaled, diversity=False) reconstruct_err = (out.data.max(1)[1] != y.data).float().sum() print("Batch error after Image Reconstruction: ", reconstruct_err.item()) meanC, varC = moments(enc_c) sigmaC = torch.sqrt(varC + 1e-5) sign = torch.sign(meanC) abs_meanC = torch.abs(meanC) + 1e-6 limit = 10 / torch.sqrt(torch.tensor(128.0).cuda()) meanS_delta = Variable(abs_meanC.clone(), requires_grad=True) sigmaS_delta = Variable(sigmaC.clone(), requires_grad=True) # momentum g_meanS_delta = torch.zeros_like(meanS_delta).cuda() g_sigmaS_delta = torch.zeros_like(sigmaS_delta).cuda() for eps in eps_list: step_size = 1.25 * eps / num_steps for idx in range(num_steps): target_features = (enc_c - meanC) * sigmaS_delta / sigmaC + sign * meanS_delta # decode target features back to image generated_adv_img = stn.decode(target_features) enc_gen_adv, _ = stn.encode(generated_adv_img) generated_adv_img_rescaled = generated_adv_img / 255.0 with torch.enable_grad(): model_input = F.interpolate(generated_adv_img_rescaled, size=299, mode="nearest") logits = model(model_input, diversity=True) adv_loss = loss_fn(logits, y) # content loss content_loss = torch.square(enc_gen_adv - target_features).mean(dim = (2,3)).sum(dim = 1) adv_loss_total = adv_loss * batch_size * 128 loss = content_loss + adv_loss_total if (idx + 1) % 10 == 0: print("adv_loss_total: ", adv_loss_total) print("content_loss: ", content_loss) target_features = (enc_c - meanC) * sigmaS_delta / sigmaC + sign * meanS_delta generated_adv_img = stn.decode(target_features.detach()) / 255.0 with torch.no_grad(): out = model(generated_adv_img, diversity=False) batch_err = (out.data.max(1)[1] != y.data).float().sum() print("Budget now: {}, Batch error: {}".format(eps, batch_err.item())) [meanS_delta_grad, sigmaS_delta_grad] = torch.autograd.grad(loss.sum(), [meanS_delta, sigmaS_delta]) # gradient clipping meanS_delta_grad = meanS_delta_grad.detach().clamp_(-1 / torch.sqrt(limit), 1 / torch.sqrt(limit)) sigmaS_delta_grad = sigmaS_delta_grad.detach().clamp_(-1 / torch.sqrt(limit), 1 / torch.sqrt(limit)) noise_mean = meanS_delta_grad / torch.abs(meanS_delta_grad).mean(dim=(1, 2, 3), keepdim=True) g_meanS_delta[mask] = g_meanS_delta[mask] * args.momentum + noise_mean[mask] meanS_delta = Variable(meanS_delta.data - step_size * torch.sign(g_meanS_delta), requires_grad=True) noise_sigma = sigmaS_delta_grad / torch.abs(sigmaS_delta_grad).mean(dim=(1, 2, 3), keepdim=True) g_sigmaS_delta[mask] = g_sigmaS_delta[mask] * args.momentum + noise_sigma[mask] sigmaS_delta = Variable(sigmaS_delta.data - step_size * torch.sign(g_sigmaS_delta), requires_grad=True) # clip meanS_delta = Variable(torch.max(torch.min(meanS_delta.data, eps * abs_meanC), abs_meanC / eps), requires_grad=True) sigmaS_delta = Variable(torch.max(torch.min(sigmaS_delta.data, eps * sigmaC), sigmaC / eps), requires_grad=True) g_meanS_delta.zero_() g_sigmaS_delta.zero_() with torch.no_grad(): target_features = (enc_c - meanC) * sigmaS_delta / sigmaC + sign * meanS_delta generated_adv_img = stn.decode(target_features.detach()) / 255.0 output = eval_model(generated_adv_img, diversity=False).detach() prob = F.softmax(output, dim=1) conf = prob[np.arange(batch_size), y.long()] mask = (conf >= args.thres) # early stopping if mask.sum() == 0: break target_features = (enc_c - meanC) * sigmaS_delta / sigmaC + sign * meanS_delta generated_adv_img = stn.decode(target_features.detach()) / 255.0 # budget enlarge_mean = meanS_delta / abs_meanC enlarge_sigma = sigmaS_delta / sigmaC upper_bound_mean = torch.where(enlarge_mean >= 1.0, enlarge_mean, 1 / enlarge_mean) upper_bound_sigma = torch.where(enlarge_sigma >= 1.0, enlarge_sigma, 1 / enlarge_sigma) budget = torch.max(torch.amax(upper_bound_mean, dim=(1,2,3)), torch.amax(upper_bound_sigma, dim=(1,2,3))) return F.interpolate(generated_adv_img, size=299, mode="nearest"), budget def GA_DI_FSA(model, eval_model, x_nature, y, args, loss_fn): batch_size = x_nature.shape[0] eps_list = [math.exp((idx + 1) * (math.log(args.max_epsilon) / args.intervals))for idx in range(args.intervals)] mask = torch.ones((batch_size, )).bool() num_steps = args.num_steps img_scaled = 255 * x_nature # encode image enc_c, _ = stn.encode(img_scaled) enc_c.requires_grad_(False) generated_img = stn.decode(enc_c) generated_img_rescaled = generated_img / 255.0 with torch.no_grad(): out = model(generated_img_rescaled, diversity=False) reconstruct_err = (out.data.max(1)[1] != y.data).float().sum() print("Batch error after Image Reconstruction: ", reconstruct_err.item()) meanC, varC = moments(enc_c) sigmaC = torch.sqrt(varC + 1e-5) sign = torch.sign(meanC) abs_meanC = torch.abs(meanC) + 1e-6 limit = 10 / torch.sqrt(torch.tensor(128.0).cuda()) meanS_delta = Variable(abs_meanC.clone(), requires_grad=True) sigmaS_delta = Variable(sigmaC.clone(), requires_grad=True) # momentum g_meanS_delta = torch.zeros_like(meanS_delta).cuda() g_sigmaS_delta = torch.zeros_like(sigmaS_delta).cuda() for eps in eps_list: step_size = 1.25 * eps / num_steps for idx in range(num_steps): target_features = (enc_c - meanC) * sigmaS_delta / sigmaC + sign * meanS_delta # decode target features back to image generated_adv_img = stn.decode(target_features) enc_gen_adv, _ = stn.encode(generated_adv_img) generated_adv_img_rescaled = generated_adv_img / 255.0 with torch.enable_grad(): model_input = F.interpolate(generated_adv_img_rescaled, size=299, mode="nearest") logits = model(model_input, diversity=True) adv_loss = loss_fn(logits, y) # content loss content_loss = torch.square(enc_gen_adv - target_features).mean(dim = (2,3)).sum(dim = 1) adv_loss_total = adv_loss * batch_size * 128 loss = content_loss + adv_loss_total if (idx + 1) % 10 == 0: print("adv_loss_total: ", adv_loss_total) print("content_loss: ", content_loss) target_features = (enc_c - meanC) * sigmaS_delta / sigmaC + sign * meanS_delta generated_adv_img = stn.decode(target_features.detach()) / 255.0 with torch.no_grad(): out = model(generated_adv_img, diversity=False) batch_err = (out.data.max(1)[1] != y.data).float().sum() print("Budget now: {}, Batch error: {}".format(eps, batch_err.item())) [meanS_delta_grad, sigmaS_delta_grad] = torch.autograd.grad(loss.sum(), [meanS_delta, sigmaS_delta]) # gradient clipping meanS_delta_grad = meanS_delta_grad.detach().clamp_(-1 / torch.sqrt(limit), 1 / torch.sqrt(limit)) sigmaS_delta_grad = sigmaS_delta_grad.detach().clamp_(-1 / torch.sqrt(limit), 1 / torch.sqrt(limit)) g_meanS_delta[mask] = meanS_delta_grad[mask].clone() meanS_delta = Variable(meanS_delta.data - step_size * torch.sign(g_meanS_delta), requires_grad=True) g_sigmaS_delta[mask] = sigmaS_delta_grad[mask].clone() sigmaS_delta = Variable(sigmaS_delta.data - step_size * torch.sign(g_sigmaS_delta), requires_grad=True) # clip meanS_delta = Variable(torch.max(torch.min(meanS_delta.data, eps * abs_meanC), abs_meanC / eps), requires_grad=True) sigmaS_delta = Variable(torch.max(torch.min(sigmaS_delta.data, eps * sigmaC), sigmaC / eps), requires_grad=True) g_meanS_delta.zero_() g_sigmaS_delta.zero_() with torch.no_grad(): target_features = (enc_c - meanC) * sigmaS_delta / sigmaC + sign * meanS_delta generated_adv_img = stn.decode(target_features.detach()) / 255.0 output = eval_model(generated_adv_img, diversity=False).detach() prob = F.softmax(output, dim=1) conf = prob[np.arange(batch_size), y.long()] mask = (conf >= args.thres) # early stopping if mask.sum() == 0: break target_features = (enc_c - meanC) * sigmaS_delta / sigmaC + sign * meanS_delta generated_adv_img = stn.decode(target_features.detach()) / 255.0 # budget enlarge_mean = meanS_delta / abs_meanC enlarge_sigma = sigmaS_delta / sigmaC upper_bound_mean = torch.where(enlarge_mean >= 1.0, enlarge_mean, 1 / enlarge_mean) upper_bound_sigma = torch.where(enlarge_sigma >= 1.0, enlarge_sigma, 1 / enlarge_sigma) budget = torch.max(torch.amax(upper_bound_mean, dim=(1,2,3)), torch.amax(upper_bound_sigma, dim=(1,2,3))) return F.interpolate(generated_adv_img, size=299, mode="nearest"), budget def Feature_Adam_Attack(model, x_nature, y, args, loss_fn, diversity=True, random_init=False): batch_size = x_nature.shape[0] eps = args.epsilon # Natural statistics img_scaled = 255 * x_nature # encode image enc_c, _ = stn.encode(img_scaled) enc_c.requires_grad_(False) generated_img = stn.decode(enc_c) enc_gen_adv, _ = stn.encode(generated_img) adv_content_loss = torch.square(enc_gen_adv - enc_c).mean(dim = (2,3)).sum(dim = 1) generated_img_rescaled = generated_img / 255.0 with torch.no_grad(): out = model(generated_img_rescaled, diversity=False) adv_mask = (out.data.max(1)[1] == y.data).float() reconstruct_err = (out.data.max(1)[1] != y.data).float().sum() print("Batch error after Image Reconstruction: ", reconstruct_err.item()) meanC, varC = moments(enc_c) sigmaC = torch.sqrt(varC + 1e-5) sign = torch.sign(meanC) abs_meanC = torch.abs(meanC) + 1e-6 limit = 10 / torch.sqrt(torch.tensor(128.0).cuda()) if random_init: meanC_delta_rand = torch.distributions.uniform.Uniform(low = abs_meanC / eps, high = eps * abs_meanC) sigmaC_delta_rand = torch.distributions.uniform.Uniform(sigmaC / eps, eps * sigmaC) meanS_delta = Variable(meanC_delta_rand.sample(), requires_grad=True) sigmaS_delta = Variable(sigmaC_delta_rand.sample(), requires_grad=True) else: meanS_delta = Variable(abs_meanC.clone(), requires_grad=True) sigmaS_delta = Variable(sigmaC.clone(), requires_grad=True) opt = optim.Adam([meanS_delta, sigmaS_delta], lr=5e-3, betas=(0.5, 0.999), eps=1e-08, weight_decay=0, amsgrad=False) # gradient clipping for p in opt.param_groups[0]['params']: p.register_hook(lambda grad: torch.clamp(grad, -1 / torch.sqrt(limit), 1 / torch.sqrt(limit))) # best adv img rst_img = generated_img_rescaled.clone() for idx in range(args.num_steps): opt.zero_grad() target_features = (enc_c - meanC) * sigmaS_delta / sigmaC + sign * meanS_delta # decode target features back to image generated_adv_img = stn.decode(target_features) enc_gen_adv, _ = stn.encode(generated_adv_img) generated_adv_img_rescaled = generated_adv_img / 255.0 with torch.enable_grad(): model_input = F.interpolate(generated_adv_img_rescaled, size=299, mode="nearest") logits = model(model_input, diversity=diversity) adv_loss = loss_fn(logits, y) # content loss content_loss = torch.square(enc_gen_adv - target_features).mean(dim = (2,3)).sum(dim = 1) adv_loss_total = adv_loss * batch_size * 128 loss = content_loss + adv_loss_total loss.sum().backward() opt.param_groups[0]['lr'] = 5e-3 / (1 + 1e-3 * idx) # 0.0075 opt.step() # clip meanS_delta.data.copy_(torch.max(torch.min(meanS_delta.data, eps * abs_meanC), abs_meanC / eps)) sigmaS_delta.data.copy_(torch.max(torch.min(sigmaS_delta.data, eps * sigmaC), sigmaC / eps)) # Monitor the progress with torch.no_grad(): target_features = (enc_c - meanC) * sigmaS_delta / sigmaC + sign * meanS_delta decoded_img = stn.decode(target_features.detach()) generated_adv_img = decoded_img / 255.0 out = model(generated_adv_img, diversity=False) _adv_mask = (out.data.max(1)[1] == y.data).float() prob_truth = F.softmax(out, dim = 1)[np.arange(batch_size), y] # content loss enc_gen_adv, _ = stn.encode(decoded_img) _content_loss = torch.square(enc_gen_adv - target_features).mean(dim = (2,3)).sum(dim = 1) for j in range(batch_size): if _adv_mask[j] < adv_mask[j] or (_adv_mask[j] == adv_mask[j] and _content_loss[j] < adv_content_loss[j]): rst_img[j] = generated_adv_img[j] adv_mask[j] = _adv_mask[j] adv_content_loss[j] = _content_loss[j] if (idx + 1) % 10 == 0: print("adv_loss_total: ", adv_loss_total) print("content_loss: ", content_loss) batch_err = adv_mask.sum() print("Batch error ", batch_size - batch_err.item()) print("label softmax: ", prob_truth) return F.interpolate(rst_img, size=299, mode="nearest")

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Python

idaes/models/properties/modular_properties/eos/tests/test_enrtl.py

OOAmusat/idaes-pse

ae7d3bb8e372bc32822dcdcb75e9fd96b78da539

[ "RSA-MD" ]

null

idaes/models/properties/modular_properties/eos/tests/test_enrtl.py

OOAmusat/idaes-pse

ae7d3bb8e372bc32822dcdcb75e9fd96b78da539

[ "RSA-MD" ]

null

idaes/models/properties/modular_properties/eos/tests/test_enrtl.py

OOAmusat/idaes-pse

ae7d3bb8e372bc32822dcdcb75e9fd96b78da539

[ "RSA-MD" ]

1

2022-03-17T11:08:43.000Z

################################################################################# # The Institute for the Design of Advanced Energy Systems Integrated Platform # Framework (IDAES IP) was produced under the DOE Institute for the # Design of Advanced Energy Systems (IDAES), and is copyright (c) 2018-2021 # by the software owners: The Regents of the University of California, through # Lawrence Berkeley National Laboratory, National Technology & Engineering # Solutions of Sandia, LLC, Carnegie Mellon University, West Virginia University # Research Corporation, et al. All rights reserved. # # Please see the files COPYRIGHT.md and LICENSE.md for full copyright and # license information. ################################################################################# """ Tests for eNRTL methods Author: Andrew Lee """ import pytest from pyomo.environ import ( ConcreteModel, Expression, exp, log, Set, units as pyunits, value, Var, ) from pyomo.util.check_units import assert_units_equivalent from idaes.core import AqueousPhase, Solvent, Solute, Apparent, Anion, Cation from idaes.core.util.constants import Constants from idaes.models.properties.modular_properties.eos.enrtl import ENRTL from idaes.models.properties.modular_properties.base.generic_property import ( GenericParameterBlock, StateIndex, ) from idaes.models.properties.modular_properties.state_definitions import FTPx from idaes.models.properties.modular_properties.pure.electrolyte import ( relative_permittivity_constant, ) from idaes.core.util.exceptions import ConfigurationError import idaes.logger as idaeslog def dummy_method(b, *args, **kwargs): return 42 * pyunits.mol / pyunits.m**3 configuration = { "components": { "H2O": { "type": Solvent, "dens_mol_liq_comp": dummy_method, "relative_permittivity_liq_comp": relative_permittivity_constant, "parameter_data": { "mw": (18e-3, pyunits.kg / pyunits.mol), "relative_permittivity_liq_comp": 101, }, }, "C6H12": { "type": Solute, "dens_mol_liq_comp": dummy_method, "relative_permittivity_liq_comp": relative_permittivity_constant, "parameter_data": { "mw": (84e-3, pyunits.kg / pyunits.mol), "relative_permittivity_liq_comp": 102, }, }, "NaCl": {"type": Apparent, "dissociation_species": {"Na+": 1, "Cl-": 1}}, "HCl": {"type": Apparent, "dissociation_species": {"H+": 1, "Cl-": 1}}, "NaOH": {"type": Apparent, "dissociation_species": {"Na+": 1, "OH-": 1}}, "Na+": {"type": Cation, "charge": +1}, "H+": {"type": Cation, "charge": +1}, "Cl-": {"type": Anion, "charge": -1}, "OH-": {"type": Anion, "charge": -1}, }, "phases": {"Liq": {"type": AqueousPhase, "equation_of_state": ENRTL}}, "base_units": { "time": pyunits.s, "length": pyunits.m, "mass": pyunits.kg, "amount": pyunits.mol, "temperature": pyunits.K, }, "state_definition": FTPx, "state_components": StateIndex.true, "pressure_ref": 1e5, "temperature_ref": 300, } class TestParameters(object): @pytest.mark.unit def test_parameters_no_assignment(self): m = ConcreteModel() m.params = GenericParameterBlock(default=configuration) assert isinstance(m.params.Liq.ion_pair_set, Set) assert len(m.params.Liq.ion_pair_set) == 4 for p in m.params.Liq.ion_pair_set: assert p in [("Na+, Cl-"), ("Na+, OH-"), ("H+, Cl-"), ("H+, OH-")] assert isinstance(m.params.Liq.component_pair_set, Set) assert len(m.params.Liq.component_pair_set) == 32 assert isinstance(m.params.Liq.component_pair_set_symmetric, Set) assert len(m.params.Liq.component_pair_set_symmetric) == 17 assert isinstance(m.params.Liq.alpha, Var) assert len(m.params.Liq.alpha) == 17 for (i, j) in m.params.Liq.alpha: if i != j: assert (j, i) not in m.params.Liq.alpha if (i, j) in [("C6H12", "C6H12"), ("H2O", "H2O"), ("H2O", "C6H12")]: assert m.params.Liq.alpha[(i, j)].value == 0.3 assert m.params.Liq.alpha[(i, j)].fixed else: assert m.params.Liq.alpha[(i, j)].value == 0.2 assert m.params.Liq.alpha[(i, j)].fixed assert isinstance(m.params.Liq.tau, Var) assert len(m.params.Liq.tau) == 32 for (i, j) in m.params.Liq.tau: assert m.params.Liq.tau[(i, j)].value == 0 assert m.params.Liq.tau[(i, j)].fixed @pytest.mark.unit def test_parameters_assignment(self): test_config = dict(configuration) test_config["parameter_data"] = {} test_config["parameter_data"]["Liq_alpha"] = {} test_config["parameter_data"]["Liq_alpha"][("H2O", "Na+, Cl-")] = 0.6 test_config["parameter_data"]["Liq_tau"] = {} test_config["parameter_data"]["Liq_tau"][("H2O", "Na+, Cl-")] = 0.1 m = ConcreteModel() m.params = GenericParameterBlock(default=test_config) assert isinstance(m.params.Liq.alpha, Var) assert len(m.params.Liq.alpha) == 17 for (i, j) in m.params.Liq.alpha: if i != j: assert (j, i) not in m.params.Liq.alpha if (i, j) == ("H2O", "Na+, Cl-"): assert m.params.Liq.alpha[(i, j)].value == 0.6 assert m.params.Liq.alpha[(i, j)].fixed elif (i, j) in [("C6H12", "C6H12"), ("H2O", "H2O"), ("H2O", "C6H12")]: assert m.params.Liq.alpha[(i, j)].value == 0.3 assert m.params.Liq.alpha[(i, j)].fixed else: assert m.params.Liq.alpha[(i, j)].value == 0.2 assert m.params.Liq.alpha[(i, j)].fixed assert isinstance(m.params.Liq.tau, Var) assert len(m.params.Liq.tau) == 32 for (i, j) in m.params.Liq.tau: print(i, j) if (i, j) == ("H2O", "Na+, Cl-"): assert m.params.Liq.tau[(i, j)].value == 0.1 assert m.params.Liq.tau[(i, j)].fixed else: assert m.params.Liq.tau[(i, j)].value == 0 assert m.params.Liq.tau[(i, j)].fixed @pytest.mark.unit def test_parameters_unsymmetric_alpha(self): test_config = dict(configuration) test_config["parameter_data"] = {} test_config["parameter_data"]["Liq_alpha"] = {} test_config["parameter_data"]["Liq_alpha"][("H2O", "Na+, Cl-")] = 0.6 test_config["parameter_data"]["Liq_alpha"][("Na+, Cl-", "H2O")] = 0.8 m = ConcreteModel() # TODO: Having trouble getting regex to match component tuple # Using a wildcard for now with pytest.raises( ConfigurationError, match="params.Liq eNRTL alpha parameter assigned " "non-symmetric value for pair (.+?). Please assign " "only one value for component pair.", ): m.params = GenericParameterBlock(default=test_config) @pytest.mark.unit def test_parameters_alpha_symmetry_duplicate(self, caplog): caplog.set_level( idaeslog.INFO, logger=( "idaes.models.properties.modular_properties." "eos.enrtl_parameters" ), ) test_config = dict(configuration) test_config["parameter_data"] = {} test_config["parameter_data"]["Liq_alpha"] = {} test_config["parameter_data"]["Liq_alpha"][("H2O", "Na+, Cl-")] = 0.6 test_config["parameter_data"]["Liq_alpha"][("Na+, Cl-", "H2O")] = 0.6 m = ConcreteModel() m.params = GenericParameterBlock(default=test_config) assert ( "eNRTL alpha value provided for both ('H2O', 'Na+, Cl-') and " "('Na+, Cl-', 'H2O'). It is only necessary to provide a " "value for one of these due to symmetry." in caplog.text ) @pytest.mark.unit def test_parameters_alpha_unused_parameter(self): test_config = dict(configuration) test_config["parameter_data"] = {} test_config["parameter_data"]["Liq_alpha"] = {} test_config["parameter_data"]["Liq_alpha"][("H2O", "Na+")] = 0.6 m = ConcreteModel() # TODO: Having trouble getting regex to match component tuple # Using a wildcard for now with pytest.raises( ConfigurationError, match="params.Liq eNRTL alpha parameter provided " "for invalid component pair (.+?). Please check " "typing and only provide parameters for valid " "species pairs.", ): m.params = GenericParameterBlock(default=test_config) @pytest.mark.unit def test_parameters_tau_asymmetric(self): test_config = dict(configuration) test_config["parameter_data"] = {} test_config["parameter_data"]["Liq_tau"] = {} test_config["parameter_data"]["Liq_tau"][("H2O", "Na+, Cl-")] = 0.1 test_config["parameter_data"]["Liq_tau"][("Na+, Cl-", "H2O")] = -0.1 m = ConcreteModel() m.params = GenericParameterBlock(default=test_config) assert isinstance(m.params.Liq.tau, Var) assert len(m.params.Liq.tau) == 32 for (i, j) in m.params.Liq.tau: print(i, j) if (i, j) == ("H2O", "Na+, Cl-"): assert m.params.Liq.tau[(i, j)].value == 0.1 assert m.params.Liq.tau[(i, j)].fixed elif (i, j) == ("Na+, Cl-", "H2O"): assert m.params.Liq.tau[(i, j)].value == -0.1 assert m.params.Liq.tau[(i, j)].fixed else: assert m.params.Liq.tau[(i, j)].value == 0 assert m.params.Liq.tau[(i, j)].fixed @pytest.mark.unit def test_parameters_tau_unused_parameter(self): test_config = dict(configuration) test_config["parameter_data"] = {} test_config["parameter_data"]["Liq_tau"] = {} test_config["parameter_data"]["Liq_tau"][("H2O", "Na+")] = 0.6 m = ConcreteModel() # TODO: Having trouble getting regex to match component tuple # Using a wildcard for now with pytest.raises( ConfigurationError, match="params.Liq eNRTL tau parameter provided for " "invalid component pair (.+?). Please check typing " "and only provide parameters for valid species " "pairs.", ): m.params = GenericParameterBlock(default=test_config) class TestStateBlockSymmetric(object): @pytest.fixture(scope="class") def model(self): m = ConcreteModel() m.params = GenericParameterBlock(default=configuration) m.state = m.params.build_state_block([1]) # Need to set a value of T for checking expressions later m.state[1].temperature.set_value(300) return m @pytest.mark.unit def test_common(self, model): # Reference state composition assert isinstance(model.state[1].Liq_x_ref, Expression) assert len(model.state[1].Liq_x_ref) == 6 for k in model.state[1].Liq_x_ref: assert k in ["H2O", "C6H12", "Na+", "H+", "Cl-", "OH-"] if k in ["H2O", "C6H12"]: assert str(model.state[1].Liq_x_ref[k].expr) == str(0.0) else: assert str(model.state[1].Liq_x_ref[k].expr) == str( model.state[1].mole_frac_phase_comp_true["Liq", k] / ( model.state[1].mole_frac_phase_comp_true["Liq", "Cl-"] + model.state[1].mole_frac_phase_comp_true["Liq", "OH-"] + model.state[1].mole_frac_phase_comp_true["Liq", "Na+"] + model.state[1].mole_frac_phase_comp_true["Liq", "H+"] ) ) assert isinstance(model.state[1].Liq_X, Expression) assert len(model.state[1].Liq_X) == 6 for j in model.state[1].Liq_X: if j in ["H2O", "C6H12"]: # _X should be mole_frac_phase_comp_true assert str(model.state[1].Liq_X[j]._expr) == str( model.state[1].mole_frac_phase_comp_true["Liq", j] ) else: # _X should be mutiplied by |charge| assert str(model.state[1].Liq_X[j]._expr) == str( model.state[1].mole_frac_phase_comp_true["Liq", j] * abs(model.params.get_component(j).config.charge) ) assert isinstance(model.state[1].Liq_X_ref, Expression) assert len(model.state[1].Liq_X_ref) == 6 for j in model.state[1].Liq_X_ref: if j in ["H2O", "C6H12"]: # _X should be mole_frac_phase_comp_true assert str(model.state[1].Liq_X_ref[j].expr) == str( model.state[1].Liq_x_ref[j] ) else: # _X should be mutiplied by |charge| assert str(model.state[1].Liq_X_ref[j]._expr) == str( model.state[1].Liq_x_ref[j] * abs(model.params.get_component(j).config.charge) ) assert isinstance(model.state[1].Liq_Y, Expression) assert len(model.state[1].Liq_Y) == 4 for j in model.state[1].Liq_Y: if j in ["H+", "Na+"]: assert str(model.state[1].Liq_Y[j]._expr) == str( model.state[1].Liq_X[j] / (model.state[1].Liq_X["Na+"] + model.state[1].Liq_X["H+"]) ) else: assert str(model.state[1].Liq_Y[j]._expr) == str( model.state[1].Liq_X[j] / (model.state[1].Liq_X["Cl-"] + model.state[1].Liq_X["OH-"]) ) assert isinstance(model.state[1].Liq_ionic_strength, Expression) assert len(model.state[1].Liq_ionic_strength) == 1 assert str(model.state[1].Liq_ionic_strength.expr) == str( 0.5 * ( model.params.get_component("Cl-").config.charge ** 2 * model.state[1].mole_frac_phase_comp_true["Liq", "Cl-"] + model.params.get_component("OH-").config.charge ** 2 * model.state[1].mole_frac_phase_comp_true["Liq", "OH-"] + model.params.get_component("Na+").config.charge ** 2 * model.state[1].mole_frac_phase_comp_true["Liq", "Na+"] + model.params.get_component("H+").config.charge ** 2 * model.state[1].mole_frac_phase_comp_true["Liq", "H+"] ) ) assert isinstance(model.state[1].Liq_ionic_strength_ref, Expression) assert len(model.state[1].Liq_ionic_strength_ref) == 1 assert str(model.state[1].Liq_ionic_strength_ref.expr) == str( 0.5 * ( model.params.get_component("Cl-").config.charge ** 2 * model.state[1].Liq_x_ref["Cl-"] + model.params.get_component("OH-").config.charge ** 2 * model.state[1].Liq_x_ref["OH-"] + model.params.get_component("Na+").config.charge ** 2 * model.state[1].Liq_x_ref["Na+"] + model.params.get_component("H+").config.charge ** 2 * model.state[1].Liq_x_ref["H+"] ) ) assert isinstance(model.state[1].Liq_vol_mol_solvent, Expression) assert len(model.state[1].Liq_vol_mol_solvent) == 1 assert str(model.state[1].Liq_vol_mol_solvent.expr) == "1/(42*mol/m**3)" assert isinstance(model.state[1].Liq_relative_permittivity_solvent, Expression) assert len(model.state[1].Liq_relative_permittivity_solvent) == 1 assert str(model.state[1].Liq_relative_permittivity_solvent.expr) == ( str(model.params.get_component("H2O").relative_permittivity_liq_comp) ) assert isinstance(model.state[1].Liq_A_DH, Expression) assert len(model.state[1].Liq_A_DH) == 1 assert_units_equivalent(model.state[1].Liq_A_DH, pyunits.dimensionless) assert str(model.state[1].Liq_A_DH.expr) == str( (1 / 3) * ( 2 * Constants.pi * Constants.avogadro_number / model.state[1].Liq_vol_mol_solvent ) ** 0.5 * ( Constants.elemental_charge**2 / ( 4 * Constants.pi * model.state[1].Liq_relative_permittivity_solvent * Constants.vacuum_electric_permittivity * Constants.boltzmann_constant * model.state[1].temperature ) ) ** (3 / 2) ) assert isinstance(model.state[1].Liq_log_gamma_pdh, Expression) assert len(model.state[1].Liq_log_gamma_pdh) == 6 for j in model.state[1].Liq_log_gamma_pdh: assert j in ["H2O", "C6H12", "Na+", "H+", "Cl-", "OH-"] if j in ["H2O", "C6H12"]: assert str(model.state[1].Liq_log_gamma_pdh[j].expr) == str( ( 2 * model.state[1].Liq_A_DH * model.state[1].Liq_ionic_strength ** (3 / 2) / (1 + 14.9 * model.state[1].Liq_ionic_strength ** (1 / 2)) ) ) else: def ndxdn(j, k): if j == k: return (1 - model.state[1].Liq_x_ref[k]) / ( model.state[1].mole_frac_phase_comp_true["Liq", "Cl-"] + model.state[1].mole_frac_phase_comp_true["Liq", "OH-"] + model.state[1].mole_frac_phase_comp_true["Liq", "Na+"] + model.state[1].mole_frac_phase_comp_true["Liq", "H+"] ) else: return -model.state[1].Liq_x_ref[k] / ( model.state[1].mole_frac_phase_comp_true["Liq", "Cl-"] + model.state[1].mole_frac_phase_comp_true["Liq", "OH-"] + model.state[1].mole_frac_phase_comp_true["Liq", "Na+"] + model.state[1].mole_frac_phase_comp_true["Liq", "H+"] ) assert str(model.state[1].Liq_log_gamma_pdh[j].expr) == str( -model.state[1].Liq_A_DH * ( (2 * model.params.get_component(j).config.charge ** 2 / 14.9) * log( (1 + 14.9 * model.state[1].Liq_ionic_strength ** 0.5) / (1 + 14.9 * model.state[1].Liq_ionic_strength_ref ** 0.5) ) + ( model.params.get_component(j).config.charge ** 2 * model.state[1].Liq_ionic_strength ** 0.5 - 2 * model.state[1].Liq_ionic_strength ** 1.5 ) / (1 + 14.9 * model.state[1].Liq_ionic_strength ** 0.5) - ( 2 * model.state[1].Liq_ionic_strength * model.state[1].Liq_ionic_strength_ref ** -0.5 ) / (1 + 14.9 * model.state[1].Liq_ionic_strength_ref ** 0.5) * ( 0.5 * ( model.params.get_component("Cl-").config.charge ** 2 * ndxdn(j, "Cl-") + model.params.get_component("OH-").config.charge ** 2 * ndxdn(j, "OH-") + model.params.get_component("Na+").config.charge ** 2 * ndxdn(j, "Na+") + model.params.get_component("H+").config.charge ** 2 * ndxdn(j, "H+") ) ) ) ) assert isinstance(model.state[1].Liq_log_gamma_lc_I, Expression) assert len(model.state[1].Liq_log_gamma_lc_I) == 6 for k in model.state[1].Liq_log_gamma_lc_I: assert k in ["H2O", "C6H12", "Na+", "H+", "Cl-", "OH-"] assert isinstance(model.state[1].Liq_log_gamma_lc_I0, Expression) assert len(model.state[1].Liq_log_gamma_lc_I0) == 4 for k in model.state[1].Liq_log_gamma_lc_I0: assert k in ["Na+", "H+", "Cl-", "OH-"] assert str(model.state[1].Liq_log_gamma_lc_I0[k].expr) != str( model.state[1].Liq_log_gamma_lc_I[k].expr ) assert isinstance(model.state[1].Liq_log_gamma_lc, Expression) assert len(model.state[1].Liq_log_gamma_lc) == 6 for k in model.state[1].Liq_log_gamma_lc: assert k in ["H2O", "C6H12", "Na+", "H+", "Cl-", "OH-"] if k in ["H2O", "C6H12"]: assert str(model.state[1].Liq_log_gamma_lc[k].expr) == str( model.state[1].Liq_log_gamma_lc_I[k] ) else: assert str(model.state[1].Liq_log_gamma_lc[k].expr) == str( model.state[1].Liq_log_gamma_lc_I[k] - model.state[1].Liq_log_gamma_lc_I0[k] ) assert isinstance(model.state[1].Liq_log_gamma, Expression) assert len(model.state[1].Liq_log_gamma) == 6 for k, v in model.state[1].Liq_log_gamma.items(): assert str(model.state[1].Liq_log_gamma[k].expr) == str( model.state[1].Liq_log_gamma_pdh[k] + model.state[1].Liq_log_gamma_lc[k] ) @pytest.mark.unit def test_alpha(self, model): assert isinstance(model.state[1].Liq_alpha, Expression) assert len(model.state[1].Liq_alpha) == 28 # Molecule-molecule interactions assert str(model.state[1].Liq_alpha["H2O", "H2O"].expr) == str( model.params.Liq.alpha["H2O", "H2O"] ) assert str(model.state[1].Liq_alpha["H2O", "C6H12"].expr) == str( model.params.Liq.alpha["H2O", "C6H12"] ) assert str(model.state[1].Liq_alpha["C6H12", "H2O"].expr) == str( model.params.Liq.alpha["H2O", "C6H12"] ) assert str(model.state[1].Liq_alpha["C6H12", "C6H12"].expr) == str( model.params.Liq.alpha["C6H12", "C6H12"] ) # Molecule-ion interactions assert str(model.state[1].Liq_alpha["H2O", "Na+"].expr) == str( ( model.state[1].Liq_Y["Cl-"] * model.params.Liq.alpha["H2O", "Na+, Cl-"] + model.state[1].Liq_Y["OH-"] * model.params.Liq.alpha["H2O", "Na+, OH-"] ) ) assert str(model.state[1].Liq_alpha["H2O", "H+"].expr) == str( ( model.state[1].Liq_Y["Cl-"] * model.params.Liq.alpha["H2O", "H+, Cl-"] + model.state[1].Liq_Y["OH-"] * model.params.Liq.alpha["H2O", "H+, OH-"] ) ) assert str(model.state[1].Liq_alpha["Na+", "H2O"].expr) == str( ( model.state[1].Liq_Y["Cl-"] * model.params.Liq.alpha["H2O", "Na+, Cl-"] + model.state[1].Liq_Y["OH-"] * model.params.Liq.alpha["H2O", "Na+, OH-"] ) ) assert str(model.state[1].Liq_alpha["H+", "H2O"].expr) == str( ( model.state[1].Liq_Y["Cl-"] * model.params.Liq.alpha["H2O", "H+, Cl-"] + model.state[1].Liq_Y["OH-"] * model.params.Liq.alpha["H2O", "H+, OH-"] ) ) assert str(model.state[1].Liq_alpha["H2O", "Cl-"].expr) == str( ( model.state[1].Liq_Y["Na+"] * model.params.Liq.alpha["H2O", "Na+, Cl-"] + model.state[1].Liq_Y["H+"] * model.params.Liq.alpha["H2O", "H+, Cl-"] ) ) assert str(model.state[1].Liq_alpha["H2O", "OH-"].expr) == str( ( model.state[1].Liq_Y["Na+"] * model.params.Liq.alpha["H2O", "Na+, OH-"] + model.state[1].Liq_Y["H+"] * model.params.Liq.alpha["H2O", "H+, OH-"] ) ) assert str(model.state[1].Liq_alpha["Cl-", "H2O"].expr) == str( ( model.state[1].Liq_Y["Na+"] * model.params.Liq.alpha["H2O", "Na+, Cl-"] + model.state[1].Liq_Y["H+"] * model.params.Liq.alpha["H2O", "H+, Cl-"] ) ) assert str(model.state[1].Liq_alpha["OH-", "H2O"].expr) == str( ( model.state[1].Liq_Y["Na+"] * model.params.Liq.alpha["H2O", "Na+, OH-"] + model.state[1].Liq_Y["H+"] * model.params.Liq.alpha["H2O", "H+, OH-"] ) ) assert str(model.state[1].Liq_alpha["C6H12", "Na+"].expr) == str( ( model.state[1].Liq_Y["Cl-"] * model.params.Liq.alpha["C6H12", "Na+, Cl-"] + model.state[1].Liq_Y["OH-"] * model.params.Liq.alpha["C6H12", "Na+, OH-"] ) ) assert str(model.state[1].Liq_alpha["C6H12", "H+"].expr) == str( ( model.state[1].Liq_Y["Cl-"] * model.params.Liq.alpha["C6H12", "H+, Cl-"] + model.state[1].Liq_Y["OH-"] * model.params.Liq.alpha["C6H12", "H+, OH-"] ) ) assert str(model.state[1].Liq_alpha["Na+", "C6H12"].expr) == str( ( model.state[1].Liq_Y["Cl-"] * model.params.Liq.alpha["C6H12", "Na+, Cl-"] + model.state[1].Liq_Y["OH-"] * model.params.Liq.alpha["C6H12", "Na+, OH-"] ) ) assert str(model.state[1].Liq_alpha["H+", "C6H12"].expr) == str( ( model.state[1].Liq_Y["Cl-"] * model.params.Liq.alpha["C6H12", "H+, Cl-"] + model.state[1].Liq_Y["OH-"] * model.params.Liq.alpha["C6H12", "H+, OH-"] ) ) assert str(model.state[1].Liq_alpha["C6H12", "Cl-"].expr) == str( ( model.state[1].Liq_Y["Na+"] * model.params.Liq.alpha["C6H12", "Na+, Cl-"] + model.state[1].Liq_Y["H+"] * model.params.Liq.alpha["C6H12", "H+, Cl-"] ) ) assert str(model.state[1].Liq_alpha["C6H12", "OH-"].expr) == str( ( model.state[1].Liq_Y["Na+"] * model.params.Liq.alpha["C6H12", "Na+, OH-"] + model.state[1].Liq_Y["H+"] * model.params.Liq.alpha["C6H12", "H+, OH-"] ) ) assert str(model.state[1].Liq_alpha["Cl-", "C6H12"].expr) == str( ( model.state[1].Liq_Y["Na+"] * model.params.Liq.alpha["C6H12", "Na+, Cl-"] + model.state[1].Liq_Y["H+"] * model.params.Liq.alpha["C6H12", "H+, Cl-"] ) ) assert str(model.state[1].Liq_alpha["OH-", "C6H12"].expr) == str( ( model.state[1].Liq_Y["Na+"] * model.params.Liq.alpha["C6H12", "Na+, OH-"] + model.state[1].Liq_Y["H+"] * model.params.Liq.alpha["C6H12", "H+, OH-"] ) ) # Ion-ion interactions assert str(model.state[1].Liq_alpha["Na+", "Cl-"].expr) == str( ( model.state[1].Liq_Y["Na+"] * 0.2 + model.state[1].Liq_Y["H+"] * model.params.Liq.alpha["Na+, Cl-", "H+, Cl-"] ) ) assert str(model.state[1].Liq_alpha["Na+", "OH-"].expr) == str( ( model.state[1].Liq_Y["Na+"] * 0.2 + model.state[1].Liq_Y["H+"] * model.params.Liq.alpha["Na+, OH-", "H+, OH-"] ) ) assert str(model.state[1].Liq_alpha["H+", "Cl-"].expr) == str( ( model.state[1].Liq_Y["Na+"] * model.params.Liq.alpha["Na+, Cl-", "H+, Cl-"] + model.state[1].Liq_Y["H+"] * 0.2 ) ) assert str(model.state[1].Liq_alpha["H+", "OH-"].expr) == str( ( model.state[1].Liq_Y["Na+"] * model.params.Liq.alpha["Na+, OH-", "H+, OH-"] + model.state[1].Liq_Y["H+"] * 0.2 ) ) assert str(model.state[1].Liq_alpha["Cl-", "Na+"].expr) == str( ( model.state[1].Liq_Y["Cl-"] * 0.2 + model.state[1].Liq_Y["OH-"] * model.params.Liq.alpha["Na+, Cl-", "Na+, OH-"] ) ) assert str(model.state[1].Liq_alpha["Cl-", "H+"].expr) == str( ( model.state[1].Liq_Y["Cl-"] * 0.2 + model.state[1].Liq_Y["OH-"] * model.params.Liq.alpha["H+, Cl-", "H+, OH-"] ) ) assert str(model.state[1].Liq_alpha["OH-", "Na+"].expr) == str( ( model.state[1].Liq_Y["Cl-"] * model.params.Liq.alpha["Na+, Cl-", "Na+, OH-"] + model.state[1].Liq_Y["OH-"] * 0.2 ) ) assert str(model.state[1].Liq_alpha["OH-", "H+"].expr) == str( ( model.state[1].Liq_Y["Cl-"] * model.params.Liq.alpha["H+, Cl-", "H+, OH-"] + model.state[1].Liq_Y["OH-"] * 0.2 ) ) # Like species interactions assert ("Na+", "Na+") not in model.state[1].Liq_alpha assert ("Na+", "H+") not in model.state[1].Liq_alpha assert ("H+", "Na+") not in model.state[1].Liq_alpha assert ("H+", "H+") not in model.state[1].Liq_alpha assert ("Cl-", "Cl-") not in model.state[1].Liq_alpha assert ("Cl-", "OH-") not in model.state[1].Liq_alpha assert ("OH-", "Cl-") not in model.state[1].Liq_alpha assert ("OH-", "OH-") not in model.state[1].Liq_alpha @pytest.mark.unit def test_G(self, model): assert isinstance(model.state[1].Liq_G, Expression) assert len(model.state[1].Liq_G) == 28 # Molecule-molecule interactions assert str(model.state[1].Liq_G["H2O", "H2O"].expr) == str(1.0) assert str(model.state[1].Liq_G["H2O", "C6H12"].expr) == str( exp( -model.params.Liq.alpha["H2O", "C6H12"] * model.params.Liq.tau["H2O", "C6H12"] ) ) assert str(model.state[1].Liq_G["C6H12", "H2O"].expr) == str( exp( -model.params.Liq.alpha["H2O", "C6H12"] * model.params.Liq.tau["C6H12", "H2O"] ) ) assert str(model.state[1].Liq_G["C6H12", "C6H12"].expr) == str(1.0) # Molecule-ion interactions assert str(model.state[1].Liq_G["H2O", "Na+"].expr) == str( ( model.state[1].Liq_Y["Cl-"] * exp( -model.params.Liq.alpha["H2O", "Na+, Cl-"] * model.params.Liq.tau["H2O", "Na+, Cl-"] ) + model.state[1].Liq_Y["OH-"] * exp( -model.params.Liq.alpha["H2O", "Na+, OH-"] * model.params.Liq.tau["H2O", "Na+, OH-"] ) ) ) assert str(model.state[1].Liq_G["H2O", "H+"].expr) == str( ( model.state[1].Liq_Y["Cl-"] * exp( -model.params.Liq.alpha["H2O", "H+, Cl-"] * model.params.Liq.tau["H2O", "H+, Cl-"] ) + model.state[1].Liq_Y["OH-"] * exp( -model.params.Liq.alpha["H2O", "H+, OH-"] * model.params.Liq.tau["H2O", "H+, OH-"] ) ) ) assert str(model.state[1].Liq_G["Na+", "H2O"].expr) == str( ( model.state[1].Liq_Y["Cl-"] * exp( -model.params.Liq.alpha["H2O", "Na+, Cl-"] * model.params.Liq.tau["Na+, Cl-", "H2O"] ) + model.state[1].Liq_Y["OH-"] * exp( -model.params.Liq.alpha["H2O", "Na+, OH-"] * model.params.Liq.tau["Na+, OH-", "H2O"] ) ) ) assert str(model.state[1].Liq_G["H+", "H2O"].expr) == str( ( model.state[1].Liq_Y["Cl-"] * exp( -model.params.Liq.alpha["H2O", "H+, Cl-"] * model.params.Liq.tau["H+, Cl-", "H2O"] ) + model.state[1].Liq_Y["OH-"] * exp( -model.params.Liq.alpha["H2O", "H+, OH-"] * model.params.Liq.tau["H+, OH-", "H2O"] ) ) ) assert str(model.state[1].Liq_G["H2O", "Cl-"].expr) == str( ( model.state[1].Liq_Y["Na+"] * exp( -model.params.Liq.alpha["H2O", "Na+, Cl-"] * model.params.Liq.tau["H2O", "Na+, Cl-"] ) + model.state[1].Liq_Y["H+"] * exp( -model.params.Liq.alpha["H2O", "H+, Cl-"] * model.params.Liq.tau["H2O", "H+, Cl-"] ) ) ) assert str(model.state[1].Liq_G["H2O", "OH-"].expr) == str( ( model.state[1].Liq_Y["Na+"] * exp( -model.params.Liq.alpha["H2O", "Na+, OH-"] * model.params.Liq.tau["H2O", "Na+, OH-"] ) + model.state[1].Liq_Y["H+"] * exp( -model.params.Liq.alpha["H2O", "H+, OH-"] * model.params.Liq.tau["H2O", "H+, OH-"] ) ) ) assert str(model.state[1].Liq_G["Cl-", "H2O"].expr) == str( ( model.state[1].Liq_Y["Na+"] * exp( -model.params.Liq.alpha["H2O", "Na+, Cl-"] * model.params.Liq.tau["Na+, Cl-", "H2O"] ) + model.state[1].Liq_Y["H+"] * exp( -model.params.Liq.alpha["H2O", "H+, Cl-"] * model.params.Liq.tau["H+, Cl-", "H2O"] ) ) ) assert str(model.state[1].Liq_G["OH-", "H2O"].expr) == str( ( model.state[1].Liq_Y["Na+"] * exp( -model.params.Liq.alpha["H2O", "Na+, OH-"] * model.params.Liq.tau["Na+, OH-", "H2O"] ) + model.state[1].Liq_Y["H+"] * exp( -model.params.Liq.alpha["H2O", "H+, OH-"] * model.params.Liq.tau["H+, OH-", "H2O"] ) ) ) assert str(model.state[1].Liq_G["C6H12", "Na+"].expr) == str( ( model.state[1].Liq_Y["Cl-"] * exp( -model.params.Liq.alpha["C6H12", "Na+, Cl-"] * model.params.Liq.tau["C6H12", "Na+, Cl-"] ) + model.state[1].Liq_Y["OH-"] * exp( -model.params.Liq.alpha["C6H12", "Na+, OH-"] * model.params.Liq.tau["C6H12", "Na+, OH-"] ) ) ) assert str(model.state[1].Liq_G["C6H12", "H+"].expr) == str( ( model.state[1].Liq_Y["Cl-"] * exp( -model.params.Liq.alpha["C6H12", "H+, Cl-"] * model.params.Liq.tau["C6H12", "H+, Cl-"] ) + model.state[1].Liq_Y["OH-"] * exp( -model.params.Liq.alpha["C6H12", "H+, OH-"] * model.params.Liq.tau["C6H12", "H+, OH-"] ) ) ) assert str(model.state[1].Liq_G["Na+", "C6H12"].expr) == str( ( model.state[1].Liq_Y["Cl-"] * exp( -model.params.Liq.alpha["C6H12", "Na+, Cl-"] * model.params.Liq.tau["Na+, Cl-", "C6H12"] ) + model.state[1].Liq_Y["OH-"] * exp( -model.params.Liq.alpha["C6H12", "Na+, OH-"] * model.params.Liq.tau["Na+, OH-", "C6H12"] ) ) ) assert str(model.state[1].Liq_G["H+", "C6H12"].expr) == str( ( model.state[1].Liq_Y["Cl-"] * exp( -model.params.Liq.alpha["C6H12", "H+, Cl-"] * model.params.Liq.tau["H+, Cl-", "C6H12"] ) + model.state[1].Liq_Y["OH-"] * exp( -model.params.Liq.alpha["C6H12", "H+, OH-"] * model.params.Liq.tau["H+, OH-", "C6H12"] ) ) ) assert str(model.state[1].Liq_G["C6H12", "Cl-"].expr) == str( ( model.state[1].Liq_Y["Na+"] * exp( -model.params.Liq.alpha["C6H12", "Na+, Cl-"] * model.params.Liq.tau["C6H12", "Na+, Cl-"] ) + model.state[1].Liq_Y["H+"] * exp( -model.params.Liq.alpha["C6H12", "H+, Cl-"] * model.params.Liq.tau["C6H12", "H+, Cl-"] ) ) ) assert str(model.state[1].Liq_G["C6H12", "OH-"].expr) == str( ( model.state[1].Liq_Y["Na+"] * exp( -model.params.Liq.alpha["C6H12", "Na+, OH-"] * model.params.Liq.tau["C6H12", "Na+, OH-"] ) + model.state[1].Liq_Y["H+"] * exp( -model.params.Liq.alpha["C6H12", "H+, OH-"] * model.params.Liq.tau["C6H12", "H+, OH-"] ) ) ) assert str(model.state[1].Liq_G["Cl-", "C6H12"].expr) == str( ( model.state[1].Liq_Y["Na+"] * exp( -model.params.Liq.alpha["C6H12", "Na+, Cl-"] * model.params.Liq.tau["Na+, Cl-", "C6H12"] ) + model.state[1].Liq_Y["H+"] * exp( -model.params.Liq.alpha["C6H12", "H+, Cl-"] * model.params.Liq.tau["H+, Cl-", "C6H12"] ) ) ) assert str(model.state[1].Liq_G["OH-", "C6H12"].expr) == str( ( model.state[1].Liq_Y["Na+"] * exp( -model.params.Liq.alpha["C6H12", "Na+, OH-"] * model.params.Liq.tau["Na+, OH-", "C6H12"] ) + model.state[1].Liq_Y["H+"] * exp( -model.params.Liq.alpha["C6H12", "H+, OH-"] * model.params.Liq.tau["H+, OH-", "C6H12"] ) ) ) # Ion-ion interactions assert str(model.state[1].Liq_G["Na+", "Cl-"].expr) == str( ( model.state[1].Liq_Y["Na+"] + model.state[1].Liq_Y["H+"] * exp( -model.params.Liq.alpha["Na+, Cl-", "H+, Cl-"] * model.params.Liq.tau["Na+, Cl-", "H+, Cl-"] ) ) ) assert str(model.state[1].Liq_G["Na+", "OH-"].expr) == str( ( model.state[1].Liq_Y["Na+"] + model.state[1].Liq_Y["H+"] * exp( -model.params.Liq.alpha["Na+, OH-", "H+, OH-"] * model.params.Liq.tau["Na+, OH-", "H+, OH-"] ) ) ) assert str(model.state[1].Liq_G["H+", "Cl-"].expr) == str( ( model.state[1].Liq_Y["Na+"] * exp( -model.params.Liq.alpha["Na+, Cl-", "H+, Cl-"] * model.params.Liq.tau["H+, Cl-", "Na+, Cl-"] ) + model.state[1].Liq_Y["H+"] ) ) assert str(model.state[1].Liq_G["H+", "OH-"].expr) == str( ( model.state[1].Liq_Y["Na+"] * exp( -model.params.Liq.alpha["Na+, OH-", "H+, OH-"] * model.params.Liq.tau["H+, OH-", "Na+, OH-"] ) + model.state[1].Liq_Y["H+"] ) ) assert str(model.state[1].Liq_G["Cl-", "Na+"].expr) == str( ( model.state[1].Liq_Y["Cl-"] + model.state[1].Liq_Y["OH-"] * exp( -model.params.Liq.alpha["Na+, Cl-", "Na+, OH-"] * model.params.Liq.tau["Na+, Cl-", "Na+, OH-"] ) ) ) assert str(model.state[1].Liq_G["Cl-", "H+"].expr) == str( ( model.state[1].Liq_Y["Cl-"] + model.state[1].Liq_Y["OH-"] * exp( -model.params.Liq.alpha["H+, Cl-", "H+, OH-"] * model.params.Liq.tau["H+, Cl-", "H+, OH-"] ) ) ) assert str(model.state[1].Liq_G["OH-", "Na+"].expr) == str( ( model.state[1].Liq_Y["Cl-"] * exp( -model.params.Liq.alpha["Na+, Cl-", "Na+, OH-"] * model.params.Liq.tau["Na+, OH-", "Na+, Cl-"] ) + model.state[1].Liq_Y["OH-"] ) ) assert str(model.state[1].Liq_G["OH-", "H+"].expr) == str( ( model.state[1].Liq_Y["Cl-"] * exp( -model.params.Liq.alpha["H+, Cl-", "H+, OH-"] * model.params.Liq.tau["H+, OH-", "H+, Cl-"] ) + model.state[1].Liq_Y["OH-"] ) ) # Like species interactions assert ("Na+", "Na+") not in model.state[1].Liq_G assert ("Na+", "H+") not in model.state[1].Liq_G assert ("H+", "Na+") not in model.state[1].Liq_G assert ("H+", "H+") not in model.state[1].Liq_G assert ("Cl-", "Cl-") not in model.state[1].Liq_G assert ("Cl-", "OH-") not in model.state[1].Liq_G assert ("OH-", "Cl-") not in model.state[1].Liq_G assert ("OH-", "OH-") not in model.state[1].Liq_G @pytest.mark.unit def test_tau(self, model): assert isinstance(model.state[1].Liq_tau, Expression) assert len(model.state[1].Liq_tau) == 28 # Molecule-molecule interactions assert str(model.state[1].Liq_tau["H2O", "H2O"].expr) == str( model.params.Liq.tau["H2O", "H2O"] ) assert str(model.state[1].Liq_tau["H2O", "C6H12"].expr) == str( model.params.Liq.tau["H2O", "C6H12"] ) assert str(model.state[1].Liq_tau["C6H12", "H2O"].expr) == str( model.params.Liq.tau["C6H12", "H2O"] ) assert str(model.state[1].Liq_tau["C6H12", "C6H12"].expr) == str( model.params.Liq.tau["C6H12", "C6H12"] ) for i, j in model.state[1].Liq_tau: if (i, j) not in [ ("H2O", "H2O"), ("H2O", "C6H12"), ("C6H12", "H2O"), ("C6H12", "C6H12"), ]: assert str(model.state[1].Liq_tau[i, j].expr) == str( -log(model.state[1].Liq_G[i, j]) / model.state[1].Liq_alpha[i, j] ) # Like species interactions assert ("Na+", "Na+") not in model.state[1].Liq_tau assert ("Na+", "H+") not in model.state[1].Liq_tau assert ("H+", "Na+") not in model.state[1].Liq_tau assert ("H+", "H+") not in model.state[1].Liq_tau assert ("Cl-", "Cl-") not in model.state[1].Liq_tau assert ("Cl-", "OH-") not in model.state[1].Liq_tau assert ("OH-", "Cl-") not in model.state[1].Liq_tau assert ("OH-", "OH-") not in model.state[1].Liq_tau class TestProperties(object): @pytest.fixture(scope="class") def model(self): m = ConcreteModel() m.params = GenericParameterBlock(default=configuration) m.state = m.params.build_state_block([1]) # Need to set a value of T for checking expressions later m.state[1].temperature.set_value(300) # Need to set a value of log_act_phase_solvents for checking osmotic pressure calculation m.state[1].log_act_phase_solvents["Liq"].set_value(-1.789578) return m @pytest.mark.unit def test_pressure_osm_phase(self, model): model.state[1].vol_mol_phase = Var( model.params.phase_list, initialize=18e-6, units=pyunits.m**3 / pyunits.mol, ) assert_units_equivalent(model.state[1].pressure_osm_phase["Liq"], pyunits.Pa) assert len(model.state[1].pressure_osm_phase) == 1 assert pytest.approx( value(-Constants.gas_constant * 300 * log(0.1670306) / 18e-6), rel=1e-6 ) == value(model.state[1].pressure_osm_phase["Liq"])

40.595427

97

0.468336

5,468

46,157

3.821507

0.056693

0.088438

0.160557

0.188266

0.878015

0.867152

0.841501

0.798765

0.740333

0.63706

0

0.034125

0.358147

46,157

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98

40.631162

0.671201

0.033148

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0.431527

0

0.102129

0.003669

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0.00088

0.187192

1

0.015764

false

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0.010837

0.000985

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0.00197

0

null

0

1

0

null

0

7

d9d05b489bb73cf5cc117e439236d0f6f94f668e

155

py

Python

python/tf02.py

lusing/mljs

4c708bb8e0759803ed94ead3e9cfadc3a97d6ed8

[ "MIT" ]

null

python/tf02.py

lusing/mljs

4c708bb8e0759803ed94ead3e9cfadc3a97d6ed8

[ "MIT" ]

null

python/tf02.py

lusing/mljs

4c708bb8e0759803ed94ead3e9cfadc3a97d6ed8

[ "MIT" ]

null

import tensorflow as tf def linear_layer(x): return 3 * x + 2 @tf.function def simple_nn(x): return tf.nn.relu(linear_layer(x)) print(simple_nn)

15.5

38

0.703226

28

155

3.75

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0.209524

0.228571

0

0.015748

0.180645

155

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0.811024

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false

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null

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7

d9d4575e016d9f1d25ba367fd553b818cdec95b8

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py

Python

tests/api/v3_1_0/test_device_administration_network_conditions.py

CiscoISE/ciscoisesdk

860b0fc7cc15d0c2a39c64608195a7ab3d5f4885

[ "MIT" ]

36

2021-05-18T16:24:19.000Z

2022-03-05T13:44:41.000Z

tests/api/v3_1_0/test_device_administration_network_conditions.py

CiscoISE/ciscoisesdk

860b0fc7cc15d0c2a39c64608195a7ab3d5f4885

[ "MIT" ]

15

2021-06-08T19:03:37.000Z

2022-02-25T14:47:33.000Z

tests/api/v3_1_0/test_device_administration_network_conditions.py

CiscoISE/ciscoisesdk

860b0fc7cc15d0c2a39c64608195a7ab3d5f4885

[ "MIT" ]

6

2021-06-10T09:32:01.000Z

2022-01-12T08:34:39.000Z

# -*- coding: utf-8 -*- """IdentityServicesEngineAPI device_administration_network_conditions API fixtures and tests. Copyright (c) 2021 Cisco and/or its affiliates. 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. """ import pytest from fastjsonschema.exceptions import JsonSchemaException from ciscoisesdk.exceptions import MalformedRequest from ciscoisesdk.exceptions import ciscoisesdkException from tests.environment import IDENTITY_SERVICES_ENGINE_VERSION pytestmark = pytest.mark.skipif(IDENTITY_SERVICES_ENGINE_VERSION != '3.1.0', reason='version does not match') def is_valid_get_device_admin_network_conditions(json_schema_validate, obj): if not obj: return False assert hasattr(obj, 'headers') assert hasattr(obj, 'content') assert hasattr(obj, 'text') assert hasattr(obj, 'response') json_schema_validate('jsd_b4ceac9ee830523ca5ddbfdf3e1b44be_v3_1_0').validate(obj.response) return True def get_device_admin_network_conditions(api): endpoint_result = api.device_administration_network_conditions.get_device_admin_network_conditions( ) return endpoint_result @pytest.mark.device_administration_network_conditions def test_get_device_admin_network_conditions(api, validator): try: assert is_valid_get_device_admin_network_conditions( validator, get_device_admin_network_conditions(api) ) except Exception as original_e: with pytest.raises((JsonSchemaException, MalformedRequest)): print("ERROR: {error}".format(error=original_e)) raise original_e def get_device_admin_network_conditions_default(api): endpoint_result = api.device_administration_network_conditions.get_device_admin_network_conditions( ) return endpoint_result @pytest.mark.device_administration_network_conditions def test_get_device_admin_network_conditions_default(api, validator): try: assert is_valid_get_device_admin_network_conditions( validator, get_device_admin_network_conditions_default(api) ) except Exception as original_e: with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)): raise original_e def is_valid_create_device_admin_network_condition(json_schema_validate, obj): if not obj: return False assert hasattr(obj, 'headers') assert hasattr(obj, 'content') assert hasattr(obj, 'text') assert hasattr(obj, 'response') json_schema_validate('jsd_b95cf8c9aed95518b38be1fa4b514b67_v3_1_0').validate(obj.response) return True def create_device_admin_network_condition(api): endpoint_result = api.device_administration_network_conditions.create_device_admin_network_condition( active_validation=False, condition_type='string', conditions=[{'cliDnisList': ['string'], 'conditionType': 'string', 'description': 'string', 'id': 'string', 'ipAddrList': ['string'], 'link': {'href': 'string', 'rel': 'string', 'type': 'string'}, 'macAddrList': ['string'], 'name': 'string', 'deviceGroupList': ['string'], 'deviceList': ['string']}], description='string', id='string', link={'href': 'string', 'rel': 'string', 'type': 'string'}, name='string', payload=None ) return endpoint_result @pytest.mark.device_administration_network_conditions def test_create_device_admin_network_condition(api, validator): try: assert is_valid_create_device_admin_network_condition( validator, create_device_admin_network_condition(api) ) except Exception as original_e: with pytest.raises((JsonSchemaException, MalformedRequest)): print("ERROR: {error}".format(error=original_e)) raise original_e def create_device_admin_network_condition_default(api): endpoint_result = api.device_administration_network_conditions.create_device_admin_network_condition( active_validation=False, condition_type=None, conditions=None, description=None, id=None, link=None, name=None, payload=None ) return endpoint_result @pytest.mark.device_administration_network_conditions def test_create_device_admin_network_condition_default(api, validator): try: assert is_valid_create_device_admin_network_condition( validator, create_device_admin_network_condition_default(api) ) except Exception as original_e: with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)): raise original_e def is_valid_get_device_admin_network_condition_by_id(json_schema_validate, obj): if not obj: return False assert hasattr(obj, 'headers') assert hasattr(obj, 'content') assert hasattr(obj, 'text') assert hasattr(obj, 'response') json_schema_validate('jsd_33e9cc593c395c48b31b30149467c846_v3_1_0').validate(obj.response) return True def get_device_admin_network_condition_by_id(api): endpoint_result = api.device_administration_network_conditions.get_device_admin_network_condition_by_id( id='string' ) return endpoint_result @pytest.mark.device_administration_network_conditions def test_get_device_admin_network_condition_by_id(api, validator): try: assert is_valid_get_device_admin_network_condition_by_id( validator, get_device_admin_network_condition_by_id(api) ) except Exception as original_e: with pytest.raises((JsonSchemaException, MalformedRequest)): print("ERROR: {error}".format(error=original_e)) raise original_e def get_device_admin_network_condition_by_id_default(api): endpoint_result = api.device_administration_network_conditions.get_device_admin_network_condition_by_id( id='string' ) return endpoint_result @pytest.mark.device_administration_network_conditions def test_get_device_admin_network_condition_by_id_default(api, validator): try: assert is_valid_get_device_admin_network_condition_by_id( validator, get_device_admin_network_condition_by_id_default(api) ) except Exception as original_e: with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)): raise original_e def is_valid_update_device_admin_network_condition_by_id(json_schema_validate, obj): if not obj: return False assert hasattr(obj, 'headers') assert hasattr(obj, 'content') assert hasattr(obj, 'text') assert hasattr(obj, 'response') json_schema_validate('jsd_23f78898b7d655b2b81085dc7c0a964e_v3_1_0').validate(obj.response) return True def update_device_admin_network_condition_by_id(api): endpoint_result = api.device_administration_network_conditions.update_device_admin_network_condition_by_id( active_validation=False, condition_type='string', conditions=[{'cliDnisList': ['string'], 'conditionType': 'string', 'description': 'string', 'id': 'string', 'ipAddrList': ['string'], 'link': {'href': 'string', 'rel': 'string', 'type': 'string'}, 'macAddrList': ['string'], 'name': 'string', 'deviceGroupList': ['string'], 'deviceList': ['string']}], description='string', id='string', link={'href': 'string', 'rel': 'string', 'type': 'string'}, name='string', payload=None ) return endpoint_result @pytest.mark.device_administration_network_conditions def test_update_device_admin_network_condition_by_id(api, validator): try: assert is_valid_update_device_admin_network_condition_by_id( validator, update_device_admin_network_condition_by_id(api) ) except Exception as original_e: with pytest.raises((JsonSchemaException, MalformedRequest)): print("ERROR: {error}".format(error=original_e)) raise original_e def update_device_admin_network_condition_by_id_default(api): endpoint_result = api.device_administration_network_conditions.update_device_admin_network_condition_by_id( active_validation=False, id='string', condition_type=None, conditions=None, description=None, link=None, name=None, payload=None ) return endpoint_result @pytest.mark.device_administration_network_conditions def test_update_device_admin_network_condition_by_id_default(api, validator): try: assert is_valid_update_device_admin_network_condition_by_id( validator, update_device_admin_network_condition_by_id_default(api) ) except Exception as original_e: with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)): raise original_e def is_valid_delete_device_admin_network_condition_by_id(json_schema_validate, obj): if not obj: return False assert hasattr(obj, 'headers') assert hasattr(obj, 'content') assert hasattr(obj, 'text') assert hasattr(obj, 'response') json_schema_validate('jsd_7c0b4d1bbda75355912f208521362a41_v3_1_0').validate(obj.response) return True def delete_device_admin_network_condition_by_id(api): endpoint_result = api.device_administration_network_conditions.delete_device_admin_network_condition_by_id( id='string' ) return endpoint_result @pytest.mark.device_administration_network_conditions def test_delete_device_admin_network_condition_by_id(api, validator): try: assert is_valid_delete_device_admin_network_condition_by_id( validator, delete_device_admin_network_condition_by_id(api) ) except Exception as original_e: with pytest.raises((JsonSchemaException, MalformedRequest)): print("ERROR: {error}".format(error=original_e)) raise original_e def delete_device_admin_network_condition_by_id_default(api): endpoint_result = api.device_administration_network_conditions.delete_device_admin_network_condition_by_id( id='string' ) return endpoint_result @pytest.mark.device_administration_network_conditions def test_delete_device_admin_network_condition_by_id_default(api, validator): try: assert is_valid_delete_device_admin_network_condition_by_id( validator, delete_device_admin_network_condition_by_id_default(api) ) except Exception as original_e: with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)): raise original_e

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d9dd2c93585c769774134476877f5116970858af

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py

Python

services/resource_manager/src/oci_cli_resource_manager/resourcemanager_cli_extended.py

andrewtvuong/oci-cli

7673a808613308a4899c7026964fa2383c30c397

[ "Apache-2.0" ]

null

services/resource_manager/src/oci_cli_resource_manager/resourcemanager_cli_extended.py

andrewtvuong/oci-cli

7673a808613308a4899c7026964fa2383c30c397

[ "Apache-2.0" ]

null

services/resource_manager/src/oci_cli_resource_manager/resourcemanager_cli_extended.py

andrewtvuong/oci-cli

7673a808613308a4899c7026964fa2383c30c397

[ "Apache-2.0" ]

null

# coding: utf-8 # Copyright (c) 2016, 2019, Oracle and/or its affiliates. All rights reserved. import click import os import os.path import sys from oci_cli_resource_manager.generated import resourcemanager_cli from oci_cli import cli_util from oci_cli import json_skeleton_utils import oci # noqa: F401 import base64 import zipfile resourcemanager_cli.stack_group.commands.pop(resourcemanager_cli.create_stack.name) resourcemanager_cli.stack_group.commands.pop(resourcemanager_cli.update_stack.name) # Disabling nested polymorphic commands: resourcemanager_cli.stack_group.commands.pop(resourcemanager_cli.create_stack_create_zip_upload_config_source_details.name) resourcemanager_cli.stack_group.commands.pop(resourcemanager_cli.update_stack_update_zip_upload_config_source_details.name) def create_base64encoded_zip(config_source): if config_source.endswith(".zip") and os.path.isfile(config_source) and zipfile.is_zipfile(config_source): with open(config_source, mode='rb') as zip_file: return base64.b64encode(zip_file.read()).decode('utf-8') @cli_util.copy_params_from_generated_command(resourcemanager_cli.create_stack, params_to_exclude=['config_source']) @resourcemanager_cli.stack_group.command(name=cli_util.override('create_stack.command_name', 'create'), help="""Creates a Stack""") @cli_util.option('--config-source', required=True, help="""A Terraform configuration .zip file.""") @cli_util.option('--working-directory', help=""" The path of the directory from which to run terraform. If not specified the root will be used.""") @click.pass_context @json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={'variables': {'module': 'resource_manager', 'class': 'dict(str, string)'}, 'freeform-tags': {'module': 'resource_manager', 'class': 'dict(str, string)'}, 'defined-tags': {'module': 'resource_manager', 'class': 'dict(str, dict(str, object))'}}, output_type={'module': 'resource_manager', 'class': 'Stack'}) @cli_util.wrap_exceptions def create_stack_extended(ctx, config_source, working_directory, **kwargs): config_source = os.path.expandvars(os.path.expanduser(config_source)) if not os.path.exists(config_source): click.echo('Config source does not exist', file=sys.stderr) ctx.abort() if not (config_source.endswith(".zip") and os.path.isfile(config_source) and zipfile.is_zipfile(config_source)): click.echo('Config source must be a .zip file.', file=sys.stderr) ctx.abort() send_value = create_base64encoded_zip(config_source) if not send_value: click.echo('Internal error: Unable to generate encoded zip', file=sys.stderr) ctx.abort() kwargs['config_source'] = { 'configSourceType': oci.resource_manager.models.ConfigSource.CONFIG_SOURCE_TYPE_ZIP_UPLOAD, 'zipFileBase64Encoded': send_value} if working_directory is not None: kwargs['config_source']['workingDirectory'] = working_directory json_skeleton_utils.remove_json_skeleton_params_from_dict(kwargs) ctx.invoke(resourcemanager_cli.create_stack, **kwargs) @cli_util.copy_params_from_generated_command(resourcemanager_cli.update_stack, params_to_exclude=['config_source']) @resourcemanager_cli.stack_group.command(name=cli_util.override('update_stack.command_name', 'update'), help="""Update the Stack object""") @cli_util.option('--config-source', help="""A Terraform configuration .zip file.""") @cli_util.option('--working-directory', help=""" The path of the directory from which to run terraform. If not specified the root will be used.""") @click.pass_context @json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={'variables': {'module': 'resource_manager', 'class': 'dict(str, string)'}, 'freeform-tags': {'module': 'resource_manager', 'class': 'dict(str, string)'}, 'defined-tags': {'module': 'resource_manager', 'class': 'dict(str, dict(str, object))'}}, output_type={'module': 'reseouce_manager', 'class': 'Stack'}) @cli_util.wrap_exceptions def update_stack_extended(ctx, config_source, working_directory, **kwargs): if working_directory is not None or config_source is not None: kwargs['config_source'] = {'configSourceType': oci.resource_manager.models.ConfigSource.CONFIG_SOURCE_TYPE_ZIP_UPLOAD} if working_directory is not None: kwargs['config_source']['workingDirectory'] = working_directory if config_source is not None: config_source = os.path.expandvars(os.path.expanduser(config_source)) if not os.path.exists(config_source): click.echo('Config source does not exist', file=sys.stderr) ctx.abort() if not (config_source.endswith(".zip") and os.path.isfile(config_source) and zipfile.is_zipfile(config_source)): click.echo('Config source must be a .zip file.', file=sys.stderr) ctx.abort() send_value = create_base64encoded_zip(config_source) if not send_value: click.echo('Internal error: Unable to generate encoded zip', file=sys.stderr) ctx.abort() kwargs['config_source']['zipFileBase64Encoded'] = send_value json_skeleton_utils.remove_json_skeleton_params_from_dict(kwargs) ctx.invoke(resourcemanager_cli.update_stack, **kwargs)

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d9e804f45e205395ab7f4e18c73a2315dd967bb5

142

py

Python

reid/utils/data/__init__.py

gyxoned/open-reid

98c6970555825b02e76de2f64a5d0773fe173983

[ "MIT" ]

1

2018-12-20T06:16:25.000Z

reid/utils/data/__init__.py

gyxoned/open-reid

98c6970555825b02e76de2f64a5d0773fe173983

[ "MIT" ]

null

reid/utils/data/__init__.py

gyxoned/open-reid

98c6970555825b02e76de2f64a5d0773fe173983

[ "MIT" ]

null

from __future__ import absolute_import from .dataset import Dataset from .dataset import Dataset_MSMT from .preprocessor import Preprocessor

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py

Python

Platforms/Web/Processing/Api/Discord/errors.py

The-CJ/Phaazebot

83a9563d210718071d4e2cdcca3b212c87abaf51

[ "MIT" ]

2

2017-09-14T08:07:55.000Z

2021-05-18T05:05:05.000Z

Platforms/Web/Processing/Api/Discord/errors.py

The-CJ/Phaazebot

83a9563d210718071d4e2cdcca3b212c87abaf51

[ "MIT" ]

111

2018-04-15T14:32:14.000Z

2021-03-28T21:06:29.000Z

Platforms/Web/Processing/Api/Discord/errors.py

The-CJ/Phaazebot

83a9563d210718071d4e2cdcca3b212c87abaf51

[ "MIT" ]

1

2018-04-15T13:24:44.000Z

from typing import TYPE_CHECKING if TYPE_CHECKING: from Platforms.Web.main_web import PhaazebotWeb import json from aiohttp.web import Response from Utils.Classes.extendedrequest import ExtendedRequest async def apiDiscordGuildUnknown(cls:"PhaazebotWeb", WebRequest:ExtendedRequest, **kwargs) -> Response: """ Optional keywords: ------------------ * msg `str` : (Default: None) * [Overwrites default] * guild_id `str` * * guild_name `str` * Default message (*gets altered by optional keywords): ---------------------------------------------------- Could not find a phaaze known guild """ res:dict = dict(status=400, error="discord_guild_unknown") guild_id:str = kwargs.get("guild_id", "") if guild_id: res["guild_id"] = str(guild_id) guild_name:str = kwargs.get("guild_name", "") if guild_name: res["guild_name"] = str(guild_name) # build message default_msg:str = "Could not find a phaaze known guild" if guild_name: default_msg += f" with name '{guild_name}'" if guild_id: default_msg += f" (Guild ID:{guild_id})" msg:str = kwargs.get("msg", default_msg) res["msg"] = msg cls.BASE.Logger.debug(f"(API/Discord) 400: {WebRequest.path} | {msg}", require="api:400") return cls.response( text=json.dumps(res), content_type="application/json", status=400 ) async def apiDiscordMissingPermission(cls:"PhaazebotWeb", WebRequest:ExtendedRequest, **kwargs) -> Response: """ Optional keywords: ------------------ * msg `str` : (Default: None) * [Overwrites default] * user_id `str` * * user_name `str` * * guild_id `str` * guild_name `str` Default message (*gets altered by optional keywords): ---------------------------------------------------- Missing 'administrator' or 'manage_guild' permission """ res:dict = dict(status=400, error="discord_missing_permission") user_id:str = kwargs.get("user_id", "") if user_id: res["user_id"] = str(user_id) user_name:str = kwargs.get("user_name", "") if user_name: res["user_name"] = str(user_name) guild_id:str = kwargs.get("guild_id", "") if guild_id: res["guild_id"] = str(guild_id) guild_name:str = kwargs.get("guild_name", "") if guild_name: res["guild_name"] = str(guild_name) # build message default_msg:str = "Missing 'administrator' or 'manage_guild' permission" if user_name: default_msg += f" for user '{user_name}'" if user_id: default_msg += f" (User ID:{user_id})" msg:str = kwargs.get("msg", default_msg) res["msg"] = msg cls.BASE.Logger.debug(f"(API/Discord) 400 Missing Permission: {WebRequest.path} | {msg}", require="api:400") return cls.response( text=json.dumps(res), content_type="application/json", status=400 ) async def apiDiscordMemberNotFound(cls:"PhaazebotWeb", WebRequest:ExtendedRequest, **kwargs) -> Response: """ Optional keywords: ------------------ * msg `str` : (Default: None) * [Overwrites default] * user_id `str` * * user_name `str` * * guild_id `str` * guild_name `str` Default message (*gets altered by optional keywords): ---------------------------------------------------- Could not find a valid member """ res:dict = dict(status=404, error="discord_member_not_found") user_id:str = kwargs.get("user_id", "") if user_id: res["user_id"] = str(user_id) user_name:str = kwargs.get("user_name", "") if user_name: res["user_name"] = str(user_name) guild_id:str = kwargs.get("guild_id", "") if guild_id: res["guild_id"] = str(guild_id) guild_name:str = kwargs.get("guild_name", "") if guild_name: res["guild_name"] = str(guild_name) # build message default_msg:str = "Could not find a valid member" if user_name: default_msg += f" with name '{user_name}'" if user_id: default_msg += f" (User ID: {user_id})" msg:str = kwargs.get("msg", default_msg) res["msg"] = msg cls.BASE.Logger.debug(f"(API/Discord) 400 Member not Found: {WebRequest.path} | {msg}", require="api:404") return cls.response( text=json.dumps(res), content_type="application/json", status=404 ) async def apiDiscordRoleNotFound(cls:"PhaazebotWeb", WebRequest:ExtendedRequest, **kwargs) -> Response: """ Optional keywords: ------------------ * msg `str` : (Default: None) * [Overwrites default] * role_id `str` * * role_name `str` * * guild_id `str` * guild_name `str` Default message (*gets altered by optional keywords): ---------------------------------------------------- Could not find a valid role """ res:dict = dict(status=404, error="discord_role_not_found") role_id:str = kwargs.get("role_id", "") if role_id: res["role_id"] = str(role_id) role_name:str = kwargs.get("role_name", "") if role_name: res["role_name"] = str(role_name) guild_id:str = kwargs.get("guild_id", "") if guild_id: res["guild_id"] = str(guild_id) guild_name:str = kwargs.get("guild_name", "") if guild_name: res["guild_name"] = str(guild_name) # build message default_msg:str = "Could not find a valid role" if role_name: default_msg += f" with name '{role_name}'" if role_id: default_msg += f" (Role ID:{role_id})" msg:str = kwargs.get("msg", default_msg) res["msg"] = msg cls.BASE.Logger.debug(f"(API/Discord) 400 Role not Found: {WebRequest.path} | {msg}", require="api:404") return cls.response( text=json.dumps(res), content_type="application/json", status=404 ) async def apiDiscordChannelNotFound(cls:"PhaazebotWeb", WebRequest:ExtendedRequest, **kwargs) -> Response: """ Optional keywords: ------------------ * msg `str` : (Default: None) * [Overwrites default] * channel_id `str` * * channel_name `str` * * guild_id `str` * guild_name `str` Default message (*gets altered by optional keywords): ---------------------------------------------------- Could not find a valid channel """ res:dict = dict(status=404, error="discord_channel_not_found") channel_id:str = kwargs.get("channel_id", "") if channel_id: res["channel_id"] = str(channel_id) channel_name:str = kwargs.get("channel_name", "") if channel_name: res["channel_name"] = str(channel_name) guild_id:str = kwargs.get("guild_id", "") if guild_id: res["guild_id"] = str(guild_id) guild_name:str = kwargs.get("guild_name", "") if guild_name: res["guild_name"] = str(guild_name) # build message default_msg:str = "Could not find a valid channel" if channel_name: default_msg += f" with name '{channel_name}'" if channel_id: default_msg += f" (Channel ID:{channel_id})" msg:str = kwargs.get("msg", default_msg) res["msg"] = msg cls.BASE.Logger.debug(f"(API/Discord) 400 Channel not Found: {WebRequest.path} | {msg}", require="api:404") return cls.response( text=json.dumps(res), content_type="application/json", status=404 )

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null

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7

8a1a3587280066544f3a8d15ee2fd39a5e78c679

2,588

py

Python

python/pycylon/pycylon/types.py

deHasara/cylon

f5e31a1191d6a30c0a8c5778a7db4a07c5802da8

[ "Apache-2.0" ]

229

2020-07-01T14:05:10.000Z

2022-03-25T12:26:58.000Z

python/pycylon/pycylon/types.py

deHasara/cylon

f5e31a1191d6a30c0a8c5778a7db4a07c5802da8

[ "Apache-2.0" ]

261

2020-06-30T23:23:15.000Z

2022-03-16T09:55:40.000Z

python/pycylon/pycylon/types.py

deHasara/cylon

f5e31a1191d6a30c0a8c5778a7db4a07c5802da8

[ "Apache-2.0" ]

36

2020-06-30T23:14:52.000Z

2022-03-03T02:37:09.000Z

## # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. ## from pycylon.data.data_type import DataType from pycylon.data.data_type import Type from pycylon.data.data_type import Layout def int8(): return DataType(Type.INT8, Layout.FIXED_WIDTH) def int16(): return DataType(Type.INT16, Layout.FIXED_WIDTH) def int32(): return DataType(Type.INT32, Layout.FIXED_WIDTH) def int64(): return DataType(Type.INT64, Layout.FIXED_WIDTH) def uint8(): return DataType(Type.UINT8, Layout.FIXED_WIDTH) def uint16(): return DataType(Type.UINT16, Layout.FIXED_WIDTH) def uint32(): return DataType(Type.UINT32, Layout.FIXED_WIDTH) def uint64(): return DataType(Type.UINT64, Layout.FIXED_WIDTH) def float(): return DataType(Type.FLOAT, Layout.FIXED_WIDTH) def double(): return DataType(Type.DOUBLE, Layout.FIXED_WIDTH) def half_float(): return DataType(Type.HALF_FLOAT, Layout.FIXED_WIDTH) def string(): return DataType(Type.STRING, Layout.FIXED_WIDTH) def binary(): return DataType(Type.BINARY, Layout.FIXED_WIDTH) def fixed_sized_binary(): return DataType(Type.FIXED_SIZE_BINARY, Layout.FIXED_WIDTH) def double(): return DataType(Type.DOUBLE, Layout.FIXED_WIDTH) def bool(): return DataType(Type.BOOL, Layout.FIXED_WIDTH) def date32(): return DataType(Type.DATE32, Layout.FIXED_WIDTH) def date64(): return DataType(Type.DATE64, Layout.FIXED_WIDTH) def timestamp(): return DataType(Type.TIMESTAMP, Layout.FIXED_WIDTH) def time32(): return DataType(Type.TIME32, Layout.FIXED_WIDTH) def time64(): return DataType(Type.TIME64, Layout.FIXED_WIDTH) def interval(): return DataType(Type.INTERVAL, Layout.FIXED_WIDTH) def decimal(): return DataType(Type.DECIMAL, Layout.FIXED_WIDTH) def list(): return DataType(Type.LIST, Layout.FIXED_WIDTH) def fixed_sized_list(): return DataType(Type.FIXED_SIZED_LIST, Layout.FIXED_WIDTH) def extension(): return DataType(Type.EXTENSION, Layout.FIXED_WIDTH) def duration(): return DataType(Type.DURATION, Layout.FIXED_WIDTH)

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py

Python

sql/engines/tests.py

flyingonthebed/Archery

a5e840b26731bc7834e8716f38f4025e2887a351

[ "Apache-2.0" ]

3

2019-10-10T08:09:09.000Z

2021-04-07T02:35:31.000Z

sql/engines/tests.py

flyingonthebed/Archery

a5e840b26731bc7834e8716f38f4025e2887a351

[ "Apache-2.0" ]

2

2020-06-05T21:06:12.000Z

2021-06-10T21:32:36.000Z

sql/engines/tests.py

flyingonthebed/Archery

a5e840b26731bc7834e8716f38f4025e2887a351

[ "Apache-2.0" ]

1

2019-12-05T02:48:14.000Z

import json from datetime import timedelta, datetime from unittest.mock import patch, Mock, ANY from django.contrib.auth import get_user_model from django.test import TestCase from common.config import SysConfig from sql.engines import EngineBase from sql.engines.goinception import GoInceptionEngine from sql.engines.models import ResultSet, ReviewSet, ReviewResult from sql.engines.mssql import MssqlEngine from sql.engines.mysql import MysqlEngine from sql.engines.redis import RedisEngine from sql.engines.pgsql import PgSQLEngine from sql.engines.oracle import OracleEngine from sql.engines.inception import InceptionEngine, _repair_json_str from sql.models import Instance, SqlWorkflow, SqlWorkflowContent User = get_user_model() class TestReviewSet(TestCase): def test_review_set(self): new_review_set = ReviewSet() new_review_set.rows = [{'id': '1679123'}] self.assertIn('1679123', new_review_set.json()) class TestEngineBase(TestCase): @classmethod def setUpClass(cls): cls.u1 = User(username='some_user', display='用户1') cls.u1.save() cls.ins1 = Instance(instance_name='some_ins', type='master', db_type='mssql', host='some_host', port=1366, user='ins_user', password='some_pass') cls.ins1.save() cls.wf1 = SqlWorkflow.objects.create( workflow_name='some_name', group_id=1, group_name='g1', engineer=cls.u1.username, engineer_display=cls.u1.display, audit_auth_groups='some_group', create_time=datetime.now() - timedelta(days=1), status='workflow_finish', is_backup=True, instance=cls.ins1, db_name='some_db', syntax_type=1 ) cls.wfc1 = SqlWorkflowContent.objects.create( workflow=cls.wf1, sql_content='some_sql', execute_result=json.dumps([{ 'id': 1, 'sql': 'some_content' }])) @classmethod def tearDownClass(cls): cls.wfc1.delete() cls.wf1.delete() cls.ins1.delete() cls.u1.delete() def test_init_with_ins(self): engine = EngineBase(instance=self.ins1) self.assertEqual(self.ins1.instance_name, engine.instance_name) self.assertEqual(self.ins1.user, engine.user) class TestMssql(TestCase): @classmethod def setUpClass(cls): cls.ins1 = Instance(instance_name='some_ins', type='slave', db_type='mssql', host='some_host', port=1366, user='ins_user', password='some_pass') cls.ins1.save() cls.engine = MssqlEngine(instance=cls.ins1) cls.wf = SqlWorkflow.objects.create( workflow_name='some_name', group_id=1, group_name='g1', engineer_display='', audit_auth_groups='some_group', create_time=datetime.now() - timedelta(days=1), status='workflow_finish', is_backup=True, instance=cls.ins1, db_name='some_db', syntax_type=1 ) SqlWorkflowContent.objects.create(workflow=cls.wf, sql_content='insert into some_tb values (1)') @classmethod def tearDownClass(cls): cls.ins1.delete() cls.wf.delete() SqlWorkflowContent.objects.all().delete() @patch('sql.engines.mssql.pyodbc.connect') def testGetConnection(self, connect): new_engine = MssqlEngine(instance=self.ins1) new_engine.get_connection() connect.assert_called_once() @patch('sql.engines.mssql.pyodbc.connect') def testQuery(self, connect): cur = Mock() connect.return_value.cursor = cur cur.return_value.execute = Mock() cur.return_value.fetchmany.return_value = (('v1', 'v2'),) cur.return_value.description = (('k1', 'some_other_des'), ('k2', 'some_other_des')) new_engine = MssqlEngine(instance=self.ins1) query_result = new_engine.query(sql='some_str', limit_num=100) cur.return_value.execute.assert_called() cur.return_value.fetchmany.assert_called_once_with(100) connect.return_value.close.assert_called_once() self.assertIsInstance(query_result, ResultSet) @patch.object(MssqlEngine, 'query') def testAllDb(self, mock_query): db_result = ResultSet() db_result.rows = [('db_1',), ('db_2',)] mock_query.return_value = db_result new_engine = MssqlEngine(instance=self.ins1) dbs = new_engine.get_all_databases() self.assertEqual(dbs.rows, ['db_1', 'db_2']) @patch.object(MssqlEngine, 'query') def testAllTables(self, mock_query): table_result = ResultSet() table_result.rows = [('tb_1', 'some_des'), ('tb_2', 'some_des')] mock_query.return_value = table_result new_engine = MssqlEngine(instance=self.ins1) tables = new_engine.get_all_tables('some_db') mock_query.assert_called_once_with(db_name='some_db', sql=ANY) self.assertEqual(tables.rows, ['tb_1', 'tb_2']) @patch.object(MssqlEngine, 'query') def testAllColumns(self, mock_query): db_result = ResultSet() db_result.rows = [('col_1', 'type'), ('col_2', 'type2')] mock_query.return_value = db_result new_engine = MssqlEngine(instance=self.ins1) dbs = new_engine.get_all_columns_by_tb('some_db', 'some_tb') self.assertEqual(dbs.rows, ['col_1', 'col_2']) @patch.object(MssqlEngine, 'query') def testDescribe(self, mock_query): new_engine = MssqlEngine(instance=self.ins1) new_engine.describe_table('some_db', 'some_db') mock_query.assert_called_once() def testQueryCheck(self): new_engine = MssqlEngine(instance=self.ins1) # 只抽查一个函数 banned_sql = 'select concat(phone,1) from user_table' check_result = new_engine.query_check(db_name='some_db', sql=banned_sql) self.assertTrue(check_result.get('bad_query')) banned_sql = 'select phone from user_table where phone=concat(phone,1)' check_result = new_engine.query_check(db_name='some_db', sql=banned_sql) self.assertTrue(check_result.get('bad_query')) def test_filter_sql(self): new_engine = MssqlEngine(instance=self.ins1) # 只抽查一个函数 banned_sql = 'select user from user_table' check_result = new_engine.filter_sql(sql=banned_sql, limit_num=10) self.assertEqual(check_result, "select top 10 user from user_table") @patch('sql.engines.mssql.MssqlEngine.execute') def test_execute_workflow(self, mock_execute): mock_execute.return_value.error = None new_engine = MssqlEngine(instance=self.ins1) new_engine.execute_workflow(self.wf) # 有多少个备份表, 就需要execute多少次, 另外加上一条实际执行的次数 mock_execute.assert_called() self.assertEqual(1, mock_execute.call_count) @patch('sql.engines.mssql.MssqlEngine.get_connection') def test_execute(self, mock_connect): mock_cursor = Mock() mock_connect.return_value.cursor = mock_cursor new_engine = MssqlEngine(instance=self.ins1) execute_result = new_engine.execute('some_db', 'some_sql') # 验证结果, 无异常 self.assertIsNone(execute_result.error) self.assertEqual('some_sql', execute_result.full_sql) self.assertEqual(2, len(execute_result.rows)) mock_cursor.return_value.execute.assert_called() mock_cursor.return_value.commit.assert_called() mock_cursor.reset_mock() # 验证异常 mock_cursor.return_value.execute.side_effect = Exception('Boom! some exception!') execute_result = new_engine.execute('some_db', 'some_sql') self.assertIn('Boom! some exception!', execute_result.error) self.assertEqual('some_sql', execute_result.full_sql) self.assertEqual(2, len(execute_result.rows)) mock_cursor.return_value.commit.assert_not_called() mock_cursor.return_value.rollback.assert_called() class TestMysql(TestCase): def setUp(self): self.ins1 = Instance(instance_name='some_ins', type='slave', db_type='mysql', host='some_host', port=1366, user='ins_user', password='some_pass') self.ins1.save() self.sys_config = SysConfig() self.wf = SqlWorkflow.objects.create( workflow_name='some_name', group_id=1, group_name='g1', engineer_display='', audit_auth_groups='some_group', create_time=datetime.now() - timedelta(days=1), status='workflow_finish', is_backup=True, instance=self.ins1, db_name='some_db', syntax_type=1 ) SqlWorkflowContent.objects.create(workflow=self.wf) def tearDown(self): self.ins1.delete() self.sys_config.purge() SqlWorkflow.objects.all().delete() SqlWorkflowContent.objects.all().delete() @patch('MySQLdb.connect') def test_engine_base_info(self, _conn): new_engine = MysqlEngine(instance=self.ins1) self.assertEqual(new_engine.name, 'MySQL') self.assertEqual(new_engine.info, 'MySQL engine') @patch('MySQLdb.connect') def testGetConnection(self, connect): new_engine = MysqlEngine(instance=self.ins1) new_engine.get_connection() connect.assert_called_once() @patch('MySQLdb.connect') def testQuery(self, connect): cur = Mock() connect.return_value.cursor = cur cur.return_value.execute = Mock() cur.return_value.fetchmany.return_value = (('v1', 'v2'),) cur.return_value.description = (('k1', 'some_other_des'), ('k2', 'some_other_des')) new_engine = MysqlEngine(instance=self.ins1) query_result = new_engine.query(sql='some_str', limit_num=100) cur.return_value.execute.assert_called() cur.return_value.fetchmany.assert_called_once_with(size=100) connect.return_value.close.assert_called_once() self.assertIsInstance(query_result, ResultSet) @patch.object(MysqlEngine, 'query') def testAllDb(self, mock_query): db_result = ResultSet() db_result.rows = [('db_1',), ('db_2',)] mock_query.return_value = db_result new_engine = MysqlEngine(instance=self.ins1) dbs = new_engine.get_all_databases() self.assertEqual(dbs.rows, ['db_1', 'db_2']) @patch.object(MysqlEngine, 'query') def testAllTables(self, mock_query): table_result = ResultSet() table_result.rows = [('tb_1', 'some_des'), ('tb_2', 'some_des')] mock_query.return_value = table_result new_engine = MysqlEngine(instance=self.ins1) tables = new_engine.get_all_tables('some_db') mock_query.assert_called_once_with(db_name='some_db', sql=ANY) self.assertEqual(tables.rows, ['tb_1', 'tb_2']) @patch.object(MysqlEngine, 'query') def testAllColumns(self, mock_query): db_result = ResultSet() db_result.rows = [('col_1', 'type'), ('col_2', 'type2')] mock_query.return_value = db_result new_engine = MysqlEngine(instance=self.ins1) dbs = new_engine.get_all_columns_by_tb('some_db', 'some_tb') self.assertEqual(dbs.rows, ['col_1', 'col_2']) @patch.object(MysqlEngine, 'query') def testDescribe(self, mock_query): new_engine = MysqlEngine(instance=self.ins1) new_engine.describe_table('some_db', 'some_db') mock_query.assert_called_once() def testQueryCheck(self): new_engine = MysqlEngine(instance=self.ins1) sql_without_limit = '-- 测试\n select user from usertable' check_result = new_engine.query_check(db_name='some_db', sql=sql_without_limit) self.assertEqual(check_result['filtered_sql'], 'select user from usertable') def test_query_check_wrong_sql(self): new_engine = MysqlEngine(instance=self.ins1) wrong_sql = '-- 测试' check_result = new_engine.query_check(db_name='some_db', sql=wrong_sql) self.assertDictEqual(check_result, {'msg': '不支持的查询语法类型!', 'bad_query': True, 'filtered_sql': '-- 测试', 'has_star': False}) def test_query_check_update_sql(self): new_engine = MysqlEngine(instance=self.ins1) update_sql = 'update user set id=0' check_result = new_engine.query_check(db_name='some_db', sql=update_sql) self.assertDictEqual(check_result, {'msg': '不支持的查询语法类型!', 'bad_query': True, 'filtered_sql': 'update user set id=0', 'has_star': False}) def test_filter_sql_with_delimiter(self): new_engine = MysqlEngine(instance=self.ins1) sql_without_limit = 'select user from usertable;' check_result = new_engine.filter_sql(sql=sql_without_limit, limit_num=100) self.assertEqual(check_result, 'select user from usertable limit 100;') def test_filter_sql_without_delimiter(self): new_engine = MysqlEngine(instance=self.ins1) sql_without_limit = 'select user from usertable' check_result = new_engine.filter_sql(sql=sql_without_limit, limit_num=100) self.assertEqual(check_result, 'select user from usertable limit 100;') def test_filter_sql_with_limit(self): new_engine = MysqlEngine(instance=self.ins1) sql_without_limit = 'select user from usertable limit 10' check_result = new_engine.filter_sql(sql=sql_without_limit, limit_num=1) self.assertEqual(check_result, 'select user from usertable limit 10;') @patch('sql.engines.mysql.data_masking', return_value=ResultSet()) def test_query_masking(self, _data_masking): query_result = ResultSet() new_engine = MysqlEngine(instance=self.ins1) masking_result = new_engine.query_masking(db_name='archery', sql='select 1', resultset=query_result) self.assertIsInstance(masking_result, ResultSet) @patch('sql.engines.mysql.data_masking', return_value=ResultSet()) def test_query_masking_not_select(self, _data_masking): query_result = ResultSet() new_engine = MysqlEngine(instance=self.ins1) masking_result = new_engine.query_masking(db_name='archery', sql='explain select 1', resultset=query_result) self.assertEqual(masking_result, query_result) def test_execute_check_select_sql(self): sql = 'select * from user' row = ReviewResult(id=1, errlevel=2, stagestatus='驳回不支持语句', errormessage='仅支持DML和DDL语句，查询语句请使用SQL查询功能！', sql=sql) new_engine = MysqlEngine(instance=self.ins1) check_result = new_engine.execute_check(db_name='archery', sql=sql) self.assertIsInstance(check_result, ReviewSet) self.assertEqual(check_result.rows[0].__dict__, row.__dict__) def test_execute_check_critical_sql(self): self.sys_config.set('critical_ddl_regex', '^|update') self.sys_config.get_all_config() sql = 'update user set id=1' row = ReviewResult(id=1, errlevel=2, stagestatus='驳回高危SQL', errormessage='禁止提交匹配' + '^|update' + '条件的语句！', sql=sql) new_engine = MysqlEngine(instance=self.ins1) check_result = new_engine.execute_check(db_name='archery', sql=sql) self.assertIsInstance(check_result, ReviewSet) self.assertEqual(check_result.rows[0].__dict__, row.__dict__) @patch('sql.engines.mysql.InceptionEngine') def test_execute_check_normal_sql(self, _inception_engine): sql = 'update user set id=1' row = ReviewResult(id=1, errlevel=0, stagestatus='Audit completed', errormessage='None', sql=sql, affected_rows=0, execute_time=0, ) _inception_engine.return_value.execute_check.return_value = ReviewSet(full_sql=sql, rows=[row]) new_engine = MysqlEngine(instance=self.ins1) check_result = new_engine.execute_check(db_name='archery', sql=sql) self.assertIsInstance(check_result, ReviewSet) self.assertEqual(check_result.rows[0].__dict__, row.__dict__) @patch('sql.engines.mysql.InceptionEngine') def test_execute_check_normal_sql_with_Exception(self, _inception_engine): sql = 'update user set id=1' _inception_engine.return_value.execute_check.side_effect = RuntimeError() new_engine = MysqlEngine(instance=self.ins1) with self.assertRaises(RuntimeError): new_engine.execute_check(db_name=0, sql=sql) @patch('sql.engines.mysql.InceptionEngine') def test_execute_workflow(self, _inception_engine): sql = 'update user set id=1' _inception_engine.return_value.execute.return_value = ReviewSet(full_sql=sql) new_engine = MysqlEngine(instance=self.ins1) execute_result = new_engine.execute_workflow(self.wf) self.assertIsInstance(execute_result, ReviewSet) @patch('MySQLdb.connect.cursor.execute') @patch('MySQLdb.connect.cursor') @patch('MySQLdb.connect') def test_execute(self, _connect, _cursor, _execute): new_engine = MysqlEngine(instance=self.ins1) execute_result = new_engine.execute(self.wf) self.assertIsInstance(execute_result, ResultSet) @patch.object(MysqlEngine, 'query') def test_server_version(self, _query): _query.return_value.rows = (('5.7.20',),) new_engine = MysqlEngine(instance=self.ins1) server_version = new_engine.server_version self.assertTupleEqual(server_version, (5, 7, 20)) @patch.object(MysqlEngine, 'query') def test_get_variables_not_filter(self, _query): new_engine = MysqlEngine(instance=self.ins1) new_engine.get_variables() _query.assert_called_once() @patch.object(MysqlEngine, 'query') def test_get_variables_filter(self, _query): new_engine = MysqlEngine(instance=self.ins1) new_engine.get_variables(variables=['binlog_format']) _query.assert_called() @patch.object(MysqlEngine, 'query') def test_set_variable(self, _query): new_engine = MysqlEngine(instance=self.ins1) new_engine.set_variable('binlog_format', 'ROW') _query.assert_called_once_with(sql="set global binlog_format=ROW;") @patch('sql.engines.mysql.GoInceptionEngine') def test_osc_go_inception(self, _inception_engine): self.sys_config.set('go_inception', 'true') _inception_engine.return_value.osc_control.return_value = ReviewSet() command = 'get' sqlsha1 = 'xxxxx' new_engine = MysqlEngine(instance=self.ins1) new_engine.osc_control(sqlsha1=sqlsha1, command=command) @patch('sql.engines.mysql.InceptionEngine') def test_osc_inception(self, _inception_engine): self.sys_config.set('go_inception', 'false') _inception_engine.return_value.osc_control.return_value = ReviewSet() command = 'get' sqlsha1 = 'xxxxx' new_engine = MysqlEngine(instance=self.ins1) new_engine.osc_control(sqlsha1=sqlsha1, command=command) class TestRedis(TestCase): @classmethod def setUpClass(cls): cls.ins = Instance(instance_name='some_ins', type='slave', db_type='redis', host='some_host', port=1366, user='ins_user', password='some_pass') cls.ins.save() @classmethod def tearDownClass(cls): cls.ins.delete() SqlWorkflow.objects.all().delete() SqlWorkflowContent.objects.all().delete() @patch('redis.Redis') def test_engine_base_info(self, _conn): new_engine = RedisEngine(instance=self.ins) self.assertEqual(new_engine.name, 'Redis') self.assertEqual(new_engine.info, 'Redis engine') @patch('redis.Redis') def test_get_connection(self, _conn): new_engine = RedisEngine(instance=self.ins) new_engine.get_connection() _conn.assert_called_once() @patch('redis.Redis.execute_command', return_value=[1, 2, 3]) def test_query_return_list(self, _execute_command): new_engine = RedisEngine(instance=self.ins) query_result = new_engine.query(db_name=0, sql='keys *', limit_num=100) self.assertIsInstance(query_result, ResultSet) self.assertTupleEqual(query_result.rows, ([1], [2], [3])) @patch('redis.Redis.execute_command', return_value='text') def test_query_return_str(self, _execute_command): new_engine = RedisEngine(instance=self.ins) query_result = new_engine.query(db_name=0, sql='keys *', limit_num=100) self.assertIsInstance(query_result, ResultSet) self.assertTupleEqual(query_result.rows, (['text'],)) @patch('redis.Redis.execute_command', return_value='text') def test_query_execute(self, _execute_command): new_engine = RedisEngine(instance=self.ins) query_result = new_engine.query(db_name=0, sql='keys *', limit_num=100) self.assertIsInstance(query_result, ResultSet) self.assertTupleEqual(query_result.rows, (['text'],)) @patch('redis.Redis.config_get', return_value={"databases": 4}) def test_get_all_databases(self, _config_get): new_engine = RedisEngine(instance=self.ins) dbs = new_engine.get_all_databases() self.assertListEqual(dbs.rows, ['0', '1', '2', '3']) def test_query_check_safe_cmd(self): safe_cmd = "keys 1*" new_engine = RedisEngine(instance=self.ins) check_result = new_engine.query_check(db_name=0, sql=safe_cmd) self.assertDictEqual(check_result, {'msg': '禁止执行该命令！', 'bad_query': True, 'filtered_sql': safe_cmd, 'has_star': False}) def test_query_check_danger_cmd(self): safe_cmd = "keys *" new_engine = RedisEngine(instance=self.ins) check_result = new_engine.query_check(db_name=0, sql=safe_cmd) self.assertDictEqual(check_result, {'msg': '禁止执行该命令！', 'bad_query': True, 'filtered_sql': safe_cmd, 'has_star': False}) def test_filter_sql(self): safe_cmd = "keys 1*" new_engine = RedisEngine(instance=self.ins) check_result = new_engine.filter_sql(sql=safe_cmd, limit_num=100) self.assertEqual(check_result, 'keys 1*') def test_query_masking(self): query_result = ResultSet() new_engine = RedisEngine(instance=self.ins) masking_result = new_engine.query_masking(db_name=0, sql='', resultset=query_result) self.assertEqual(masking_result, query_result) def test_execute_check(self): sql = 'set 1 1' row = ReviewResult(id=1, errlevel=0, stagestatus='Audit completed', errormessage='None', sql=sql, affected_rows=0, execute_time=0, full_sql=sql) new_engine = RedisEngine(instance=self.ins) check_result = new_engine.execute_check(db_name=0, sql=sql) self.assertIsInstance(check_result, ReviewSet) self.assertEqual(check_result.rows[0].__dict__, row.__dict__) @patch('redis.Redis.execute_command', return_value='text') def test_execute_workflow_success(self, _execute_command): sql = 'set 1 1' row = ReviewResult(id=1, errlevel=0, stagestatus='Execute Successfully', errormessage='None', sql=sql, affected_rows=0, execute_time=0, full_sql=sql) wf = SqlWorkflow.objects.create( workflow_name='some_name', group_id=1, group_name='g1', engineer_display='', audit_auth_groups='some_group', create_time=datetime.now() - timedelta(days=1), status='workflow_finish', is_backup=True, instance=self.ins, db_name='some_db', syntax_type=1 ) SqlWorkflowContent.objects.create(workflow=wf, sql_content=sql) new_engine = RedisEngine(instance=self.ins) execute_result = new_engine.execute_workflow(workflow=wf) self.assertIsInstance(execute_result, ReviewSet) self.assertEqual(execute_result.rows[0].__dict__.keys(), row.__dict__.keys()) class TestPgSQL(TestCase): @classmethod def setUpClass(cls): cls.ins = Instance(instance_name='some_ins', type='slave', db_type='pgsql', host='some_host', port=1366, user='ins_user', password='some_pass') cls.ins.save() @classmethod def tearDownClass(cls): cls.ins.delete() @patch('psycopg2.connect') def test_engine_base_info(self, _conn): new_engine = PgSQLEngine(instance=self.ins) self.assertEqual(new_engine.name, 'PgSQL') self.assertEqual(new_engine.info, 'PgSQL engine') @patch('psycopg2.connect') def test_get_connection(self, _conn): new_engine = PgSQLEngine(instance=self.ins) new_engine.get_connection() _conn.assert_called_once() @patch('psycopg2.connect.cursor.execute') @patch('psycopg2.connect.cursor') @patch('psycopg2.connect') def test_query(self, _conn, _cursor, _execute): _conn.return_value.cursor.return_value.fetchmany.return_value = [(1,)] new_engine = PgSQLEngine(instance=self.ins) query_result = new_engine.query(db_name=0, sql='select 1', limit_num=100) self.assertIsInstance(query_result, ResultSet) self.assertListEqual(query_result.rows, [(1,)]) @patch('psycopg2.connect.cursor.execute') @patch('psycopg2.connect.cursor') @patch('psycopg2.connect') def test_query_not_limit(self, _conn, _cursor, _execute): _conn.return_value.cursor.return_value.fetchall.return_value = [(1,)] new_engine = PgSQLEngine(instance=self.ins) query_result = new_engine.query(db_name=0, sql='select 1', limit_num=0) self.assertIsInstance(query_result, ResultSet) self.assertListEqual(query_result.rows, [(1,)]) @patch('sql.engines.pgsql.PgSQLEngine.query', return_value=ResultSet(rows=[('postgres',), ('archery',), ('template1',), ('template0',)])) def test_get_all_databases(self, _query): new_engine = PgSQLEngine(instance=self.ins) dbs = new_engine.get_all_databases() self.assertListEqual(dbs.rows, ['archery']) @patch('sql.engines.pgsql.PgSQLEngine.query', return_value=ResultSet(rows=[('information_schema',), ('archery',), ('pg_catalog',)])) def test_get_all_schemas(self, _query): new_engine = PgSQLEngine(instance=self.ins) schemas = new_engine.get_all_schemas(db_name='archery') self.assertListEqual(schemas.rows, ['archery']) @patch('sql.engines.pgsql.PgSQLEngine.query', return_value=ResultSet(rows=[('test',), ('test2',)])) def test_get_all_tables(self, _query): new_engine = PgSQLEngine(instance=self.ins) tables = new_engine.get_all_tables(db_name='archery', schema_name='archery') self.assertListEqual(tables.rows, ['test2']) @patch('sql.engines.pgsql.PgSQLEngine.query', return_value=ResultSet(rows=[('id',), ('name',)])) def test_get_all_columns_by_tb(self, _query): new_engine = PgSQLEngine(instance=self.ins) columns = new_engine.get_all_columns_by_tb(db_name='archery', tb_name='test2', schema_name='archery') self.assertListEqual(columns.rows, ['id', 'name']) @patch('sql.engines.pgsql.PgSQLEngine.query', return_value=ResultSet(rows=[('postgres',), ('archery',), ('template1',), ('template0',)])) def test_describe_table(self, _query): new_engine = PgSQLEngine(instance=self.ins) describe = new_engine.describe_table(db_name='archery', schema_name='archery', tb_name='text') self.assertIsInstance(describe, ResultSet) def test_query_check_disable_sql(self): sql = "update xxx set a=1 " new_engine = PgSQLEngine(instance=self.ins) check_result = new_engine.query_check(db_name='archery', sql=sql) self.assertDictEqual(check_result, {'msg': '不支持的查询语法类型!', 'bad_query': True, 'filtered_sql': sql.strip(), 'has_star': False}) def test_query_check_star_sql(self): sql = "select * from xx " new_engine = PgSQLEngine(instance=self.ins) check_result = new_engine.query_check(db_name='archery', sql=sql) self.assertDictEqual(check_result, {'msg': 'SQL语句中含有 * ', 'bad_query': False, 'filtered_sql': sql.strip(), 'has_star': True}) def test_filter_sql_with_delimiter(self): sql = "select * from xx;" new_engine = PgSQLEngine(instance=self.ins) check_result = new_engine.filter_sql(sql=sql, limit_num=100) self.assertEqual(check_result, "select * from xx limit 100;") def test_filter_sql_without_delimiter(self): sql = "select * from xx" new_engine = PgSQLEngine(instance=self.ins) check_result = new_engine.filter_sql(sql=sql, limit_num=100) self.assertEqual(check_result, "select * from xx limit 100;") def test_filter_sql_with_limit(self): sql = "select * from xx limit 10" new_engine = PgSQLEngine(instance=self.ins) check_result = new_engine.filter_sql(sql=sql, limit_num=1) self.assertEqual(check_result, "select * from xx limit 10;") def test_query_masking(self): query_result = ResultSet() new_engine = PgSQLEngine(instance=self.ins) masking_result = new_engine.query_masking(db_name=0, sql='', resultset=query_result) self.assertEqual(masking_result, query_result) class TestModel(TestCase): def setUp(self): pass def tearDown(self): pass def test_result_set_rows_shadow(self): # 测试默认值为空列表的坑 # 如果默认值是空列表，又使用的是累加的方法更新，会导致残留上次的列表 result_set1 = ResultSet() for i in range(10): result_set1.rows += [i] brand_new_result_set = ResultSet() self.assertEqual(brand_new_result_set.rows, []) review_set1 = ReviewSet() for i in range(10): review_set1.rows += [i] brand_new_review_set = ReviewSet() self.assertEqual(brand_new_review_set.rows, []) class TestInception(TestCase): def setUp(self): self.ins = Instance.objects.create(instance_name='some_ins', type='slave', db_type='mysql', host='some_host', port=3306, user='ins_user', password='some_pass') self.ins_inc = Instance.objects.create(instance_name='some_ins_inc', type='slave', db_type='inception', host='some_host', port=6669) self.wf = SqlWorkflow.objects.create( workflow_name='some_name', group_id=1, group_name='g1', engineer_display='', audit_auth_groups='some_group', create_time=datetime.now() - timedelta(days=1), status='workflow_finish', is_backup=True, instance=self.ins, db_name='some_db', syntax_type=1 ) SqlWorkflowContent.objects.create(workflow=self.wf) def tearDown(self): self.ins.delete() self.ins_inc.delete() SqlWorkflow.objects.all().delete() SqlWorkflowContent.objects.all().delete() @patch('MySQLdb.connect') def test_get_connection(self, _connect): new_engine = InceptionEngine() new_engine.get_connection() _connect.assert_called_once() @patch('MySQLdb.connect') def test_get_backup_connection(self, _connect): new_engine = InceptionEngine() new_engine.get_backup_connection() _connect.assert_called_once() def test_execute_check_critical_sql(self): sql = 'alter table user' row = ReviewResult(id=1, errlevel=2, stagestatus='SQL语法错误', errormessage='ALTER TABLE 必须带有选项', sql=sql) new_engine = InceptionEngine() check_result = new_engine.execute_check(db_name=0, sql=sql) self.assertIsInstance(check_result, ReviewSet) self.assertEqual(check_result.rows[0].__dict__, row.__dict__) @patch('sql.engines.inception.InceptionEngine.query') def test_execute_check_normal_sql(self, _query): sql = 'update user set id=100' row = [1, 'CHECKED', 0, 'Audit completed', 'None', 'use archery', 0, "'0_0_0'", 'None', '0', ''] _query.return_value = ResultSet(full_sql=sql, rows=[row]) new_engine = InceptionEngine() check_result = new_engine.execute_check(instance=self.ins, db_name=0, sql=sql) self.assertIsInstance(check_result, ReviewSet) @patch('sql.engines.inception.InceptionEngine.query') def test_execute_exception(self, _query): sql = 'update user set id=100' row = [1, 'CHECKED', 1, 'Execute failed', 'None', 'use archery', 0, "'0_0_0'", 'None', '0', ''] column_list = ['ID', 'stage', 'errlevel', 'stagestatus', 'errormessage', 'SQL', 'Affected_rows', 'sequence', 'backup_dbname', 'execute_time', 'sqlsha1'] _query.return_value = ResultSet(full_sql=sql, rows=[row], column_list=column_list) new_engine = InceptionEngine() execute_result = new_engine.execute(workflow=self.wf) self.assertIsInstance(execute_result, ReviewSet) @patch('sql.engines.inception.InceptionEngine.query') def test_execute_finish(self, _query): sql = 'update user set id=100' row = [1, 'CHECKED', 0, 'Execute Successfully', 'None', 'use archery', 0, "'0_0_0'", 'None', '0', ''] column_list = ['ID', 'stage', 'errlevel', 'stagestatus', 'errormessage', 'SQL', 'Affected_rows', 'sequence', 'backup_dbname', 'execute_time', 'sqlsha1'] _query.return_value = ResultSet(full_sql=sql, rows=[row], column_list=column_list) new_engine = InceptionEngine() execute_result = new_engine.execute(workflow=self.wf) self.assertIsInstance(execute_result, ReviewSet) @patch('MySQLdb.connect.cursor.execute') @patch('MySQLdb.connect.cursor') @patch('MySQLdb.connect') def test_query(self, _conn, _cursor, _execute): _conn.return_value.cursor.return_value.fetchall.return_value = [(1,)] new_engine = InceptionEngine() query_result = new_engine.query(db_name=0, sql='select 1', limit_num=100) self.assertIsInstance(query_result, ResultSet) @patch('MySQLdb.connect.cursor.execute') @patch('MySQLdb.connect.cursor') @patch('MySQLdb.connect') def test_query_not_limit(self, _conn, _cursor, _execute): _conn.return_value.cursor.return_value.fetchall.return_value = [(1,)] new_engine = InceptionEngine(instance=self.ins) query_result = new_engine.query(db_name=0, sql='select 1', limit_num=0) self.assertIsInstance(query_result, ResultSet) @patch('sql.engines.inception.InceptionEngine.query') def test_query_print(self, _query): sql = 'update user set id=100' row = [1, 'select * from sql_instance limit 100', 0, '{"command":"select","select_list":[{"type":"FIELD_ITEM","field":"*"}],"table_ref":[{"db":"archery","table":"sql_instance"}],"limit":{"limit":[{"type":"INT_ITEM","value":"100"}]}}', 'None'] column_list = ['ID', 'statement', 'errlevel', 'query_tree', 'errmsg'] _query.return_value = ResultSet(full_sql=sql, rows=[row], column_list=column_list) new_engine = InceptionEngine() print_result = new_engine.query_print(self.ins, db_name=None, sql=sql) self.assertDictEqual(print_result, json.loads(_repair_json_str(row[3]))) @patch('MySQLdb.connect') def test_get_rollback_list(self, _connect): self.wf.sqlworkflowcontent.execute_result = """[{ "id": 1, "stage": "RERUN", "errlevel": 0, "stagestatus": "Execute Successfully", "errormessage": "None", "sql": "use archer_test", "affected_rows": 0, "sequence": "'1554135032_13038_0'", "backup_dbname": "None", "execute_time": "0.000", "sqlsha1": "", "actual_affected_rows": 0 }, { "id": 2, "stage": "EXECUTED", "errlevel": 0, "stagestatus": "Execute Successfully Backup successfully", "errormessage": "None", "sql": "insert into tt1 (user_name)values('A'),('B'),('C')", "affected_rows": 3, "sequence": "'1554135032_13038_1'", "backup_dbname": "mysql_3306_archer_test", "execute_time": "0.000", "sqlsha1": "", "actual_affected_rows": 3 }]""" self.wf.sqlworkflowcontent.save() new_engine = InceptionEngine() new_engine.get_rollback(self.wf) @patch('sql.engines.inception.InceptionEngine.query') def test_osc_get(self, _query): new_engine = InceptionEngine() command = 'get' sqlsha1 = 'xxxxx' sql = f"inception get osc_percent '{sqlsha1}';" _query.return_value = ResultSet(full_sql=sql, rows=[], column_list=[]) new_engine.osc_control(sqlsha1=sqlsha1, command=command) _query.assert_called_once_with(sql=sql) @patch('sql.engines.inception.InceptionEngine.query') def test_osc_kill(self, _query): new_engine = InceptionEngine() command = 'kill' sqlsha1 = 'xxxxx' sql = f"inception stop alter '{sqlsha1}';" _query.return_value = ResultSet(full_sql=sql, rows=[], column_list=[]) new_engine.osc_control(sqlsha1=sqlsha1, command=command) _query.assert_called_once_with(sql=sql) @patch('sql.engines.inception.InceptionEngine.query') def test_osc_not_support(self, _query): new_engine = InceptionEngine() command = 'stop' sqlsha1 = 'xxxxx' sql = f"inception stop alter '{sqlsha1}';" _query.return_value = ResultSet(full_sql=sql, rows=[], column_list=[]) with self.assertRaisesMessage(ValueError, 'pt-osc不支持暂停和恢复，需要停止执行请使用终止按钮！'): new_engine.osc_control(sqlsha1=sqlsha1, command=command) @patch('sql.engines.inception.InceptionEngine.query') def test_get_variables(self, _query): new_engine = InceptionEngine(instance=self.ins_inc) new_engine.get_variables() sql = f"inception get variables;" _query.assert_called_once_with(sql=sql) @patch('sql.engines.inception.InceptionEngine.query') def test_get_variables_filter(self, _query): new_engine = InceptionEngine(instance=self.ins_inc) new_engine.get_variables(variables=['inception_osc_on']) sql = f"inception get variables 'inception_osc_on';" _query.assert_called_once_with(sql=sql) @patch('sql.engines.inception.InceptionEngine.query') def test_set_variable(self, _query): new_engine = InceptionEngine(instance=self.ins) new_engine.set_variable('inception_osc_on', 'on') _query.assert_called_once_with(sql="inception set inception_osc_on=on;") class TestGoInception(TestCase): def setUp(self): self.ins = Instance.objects.create(instance_name='some_ins', type='slave', db_type='mysql', host='some_host', port=3306, user='ins_user', password='some_pass') self.ins_inc = Instance.objects.create(instance_name='some_ins_inc', type='slave', db_type='goinception', host='some_host', port=4000) self.wf = SqlWorkflow.objects.create( workflow_name='some_name', group_id=1, group_name='g1', engineer_display='', audit_auth_groups='some_group', create_time=datetime.now() - timedelta(days=1), status='workflow_finish', is_backup=True, instance=self.ins, db_name='some_db', syntax_type=1 ) SqlWorkflowContent.objects.create(workflow=self.wf) def tearDown(self): self.ins.delete() self.ins_inc.delete() SqlWorkflow.objects.all().delete() SqlWorkflowContent.objects.all().delete() @patch('pymysql.connect') def test_get_connection(self, _connect): new_engine = GoInceptionEngine() new_engine.get_connection() _connect.assert_called_once() @patch('sql.engines.goinception.GoInceptionEngine.query') def test_execute_check_normal_sql(self, _query): sql = 'update user set id=100' row = [1, 'CHECKED', 0, 'Audit completed', 'None', 'use archery', 0, "'0_0_0'", 'None', '0', '', ''] _query.return_value = ResultSet(full_sql=sql, rows=[row]) new_engine = GoInceptionEngine() check_result = new_engine.execute_check(instance=self.ins, db_name=0, sql=sql) self.assertIsInstance(check_result, ReviewSet) @patch('sql.engines.goinception.GoInceptionEngine.query') def test_execute_exception(self, _query): sql = 'update user set id=100' row = [1, 'CHECKED', 1, 'Execute failed', 'None', 'use archery', 0, "'0_0_0'", 'None', '0', '', ''] column_list = ['order_id', 'stage', 'error_level', 'stage_status', 'error_message', 'sql', 'affected_rows', 'sequence', 'backup_dbname', 'execute_time', 'sqlsha1', 'backup_time'] _query.return_value = ResultSet(full_sql=sql, rows=[row], column_list=column_list) new_engine = GoInceptionEngine() execute_result = new_engine.execute(workflow=self.wf) self.assertIsInstance(execute_result, ReviewSet) @patch('sql.engines.goinception.GoInceptionEngine.query') def test_execute_finish(self, _query): sql = 'update user set id=100' row = [1, 'CHECKED', 0, 'Execute Successfully', 'None', 'use archery', 0, "'0_0_0'", 'None', '0', '', ''] column_list = ['order_id', 'stage', 'error_level', 'stage_status', 'error_message', 'sql', 'affected_rows', 'sequence', 'backup_dbname', 'execute_time', 'sqlsha1', 'backup_time'] _query.return_value = ResultSet(full_sql=sql, rows=[row], column_list=column_list) new_engine = GoInceptionEngine() execute_result = new_engine.execute(workflow=self.wf) self.assertIsInstance(execute_result, ReviewSet) @patch('pymysql.connect.cursor.execute') @patch('pymysql.connect.cursor') @patch('pymysql.connect') def test_query(self, _conn, _cursor, _execute): _conn.return_value.cursor.return_value.fetchall.return_value = [(1,)] new_engine = GoInceptionEngine() query_result = new_engine.query(db_name=0, sql='select 1', limit_num=100) self.assertIsInstance(query_result, ResultSet) @patch('pymysql.connect.cursor.execute') @patch('pymysql.connect.cursor') @patch('pymysql.connect') def test_query_not_limit(self, _conn, _cursor, _execute): _conn.return_value.cursor.return_value.fetchall.return_value = [(1,)] new_engine = GoInceptionEngine(instance=self.ins) query_result = new_engine.query(db_name=0, sql='select 1', limit_num=0) self.assertIsInstance(query_result, ResultSet) @patch('sql.engines.goinception.GoInceptionEngine.query') def test_osc_get(self, _query): new_engine = GoInceptionEngine() command = 'get' sqlsha1 = 'xxxxx' sql = f"inception get osc_percent '{sqlsha1}';" _query.return_value = ResultSet(full_sql=sql, rows=[], column_list=[]) new_engine.osc_control(sqlsha1=sqlsha1, command=command) _query.assert_called_once_with(sql=sql) @patch('sql.engines.goinception.GoInceptionEngine.query') def test_osc_pause(self, _query): new_engine = GoInceptionEngine() command = 'pause' sqlsha1 = 'xxxxx' sql = f"inception {command} osc '{sqlsha1}';" _query.return_value = ResultSet(full_sql=sql, rows=[], column_list=[]) new_engine.osc_control(sqlsha1=sqlsha1, command=command) _query.assert_called_once_with(sql=sql) @patch('sql.engines.goinception.GoInceptionEngine.query') def test_osc_resume(self, _query): new_engine = GoInceptionEngine() command = 'resume' sqlsha1 = 'xxxxx' sql = f"inception {command} osc '{sqlsha1}';" _query.return_value = ResultSet(full_sql=sql, rows=[], column_list=[]) new_engine.osc_control(sqlsha1=sqlsha1, command=command) _query.assert_called_once_with(sql=sql) @patch('sql.engines.goinception.GoInceptionEngine.query') def test_osc_kill(self, _query): new_engine = GoInceptionEngine() command = 'kill' sqlsha1 = 'xxxxx' sql = f"inception kill osc '{sqlsha1}';" _query.return_value = ResultSet(full_sql=sql, rows=[], column_list=[]) new_engine.osc_control(sqlsha1=sqlsha1, command=command) _query.assert_called_once_with(sql=sql) @patch('sql.engines.goinception.GoInceptionEngine.query') def test_get_variables(self, _query): new_engine = GoInceptionEngine(instance=self.ins_inc) new_engine.get_variables() sql = f"inception get variables;" _query.assert_called_once_with(sql=sql) @patch('sql.engines.goinception.GoInceptionEngine.query') def test_get_variables_filter(self, _query): new_engine = GoInceptionEngine(instance=self.ins_inc) new_engine.get_variables(variables=['inception_osc_on']) sql = f"inception get variables like 'inception_osc_on';" _query.assert_called_once_with(sql=sql) @patch('sql.engines.goinception.GoInceptionEngine.query') def test_set_variable(self, _query): new_engine = GoInceptionEngine(instance=self.ins) new_engine.set_variable('inception_osc_on', 'on') _query.assert_called_once_with(sql="inception set inception_osc_on=on;") class TestOracle(TestCase): """Oracle 测试""" def setUp(self): self.ins = Instance.objects.create(instance_name='some_ins', type='slave', db_type='oracle', host='some_host', port=3306, user='ins_user', password='some_pass', sid='some_id') self.wf = SqlWorkflow.objects.create( workflow_name='some_name', group_id=1, group_name='g1', engineer_display='', audit_auth_groups='some_group', create_time=datetime.now() - timedelta(days=1), status='workflow_finish', is_backup=True, instance=self.ins, db_name='some_db', syntax_type=1 ) SqlWorkflowContent.objects.create(workflow=self.wf) self.sys_config = SysConfig() def tearDown(self): self.ins.delete() self.sys_config.purge() SqlWorkflow.objects.all().delete() SqlWorkflowContent.objects.all().delete() @patch('cx_Oracle.makedsn') @patch('cx_Oracle.connect') def test_get_connection(self, _connect, _makedsn): # 填写 sid 测试 new_engine = OracleEngine(self.ins) new_engine.get_connection() _connect.assert_called_once() _makedsn.assert_called_once() # 填写 service_name 测试 _connect.reset_mock() _makedsn.reset_mock() self.ins.service_name = 'some_service' self.ins.sid = '' self.ins.save() new_engine = OracleEngine(self.ins) new_engine.get_connection() _connect.assert_called_once() _makedsn.assert_called_once() # 都不填写, 检测 ValueError _connect.reset_mock() _makedsn.reset_mock() self.ins.service_name = '' self.ins.sid = '' self.ins.save() new_engine = OracleEngine(self.ins) with self.assertRaises(ValueError): new_engine.get_connection() @patch('cx_Oracle.connect') def test_engine_base_info(self, _conn): new_engine = OracleEngine(instance=self.ins) self.assertEqual(new_engine.name, 'Oracle') self.assertEqual(new_engine.info, 'Oracle engine') _conn.return_value.version = '12.1.0.2.0' self.assertTupleEqual(new_engine.server_version, ('12', '1', '0')) @patch('cx_Oracle.connect.cursor.execute') @patch('cx_Oracle.connect.cursor') @patch('cx_Oracle.connect') def test_query(self, _conn, _cursor, _execute): _conn.return_value.cursor.return_value.fetchmany.return_value = [(1,)] new_engine = OracleEngine(instance=self.ins) query_result = new_engine.query(db_name='archery', sql='select 1', limit_num=100) self.assertIsInstance(query_result, ResultSet) self.assertListEqual(query_result.rows, [(1,)]) @patch('cx_Oracle.connect.cursor.execute') @patch('cx_Oracle.connect.cursor') @patch('cx_Oracle.connect') def test_query_not_limit(self, _conn, _cursor, _execute): _conn.return_value.cursor.return_value.fetchall.return_value = [(1,)] new_engine = OracleEngine(instance=self.ins) query_result = new_engine.query(db_name=0, sql='select 1', limit_num=0) self.assertIsInstance(query_result, ResultSet) self.assertListEqual(query_result.rows, [(1,)]) @patch('sql.engines.oracle.OracleEngine.query', return_value=ResultSet(rows=[('AUD_SYS',), ('archery',), ('ANONYMOUS',)])) def test_get_all_databases(self, _query): new_engine = OracleEngine(instance=self.ins) dbs = new_engine.get_all_databases() self.assertListEqual(dbs.rows, ['archery']) @patch('sql.engines.oracle.OracleEngine.query', return_value=ResultSet(rows=[('AUD_SYS',), ('archery',), ('ANONYMOUS',)])) def test__get_all_databases(self, _query): new_engine = OracleEngine(instance=self.ins) dbs = new_engine._get_all_databases() self.assertListEqual(dbs.rows, ['AUD_SYS', 'archery', 'ANONYMOUS']) @patch('sql.engines.oracle.OracleEngine.query', return_value=ResultSet(rows=[('archery',)])) def test__get_all_instances(self, _query): new_engine = OracleEngine(instance=self.ins) dbs = new_engine._get_all_instances() self.assertListEqual(dbs.rows, ['archery']) @patch('sql.engines.oracle.OracleEngine.query', return_value=ResultSet(rows=[('ANONYMOUS',), ('archery',), ('SYSTEM',)])) def test_get_all_schemas(self, _query): new_engine = OracleEngine(instance=self.ins) schemas = new_engine._get_all_schemas() self.assertListEqual(schemas.rows, ['archery']) @patch('sql.engines.oracle.OracleEngine.query', return_value=ResultSet(rows=[('test',), ('test2',)])) def test_get_all_tables(self, _query): new_engine = OracleEngine(instance=self.ins) tables = new_engine.get_all_tables(db_name='archery') self.assertListEqual(tables.rows, ['test2']) @patch('sql.engines.oracle.OracleEngine.query', return_value=ResultSet(rows=[('id',), ('name',)])) def test_get_all_columns_by_tb(self, _query): new_engine = OracleEngine(instance=self.ins) columns = new_engine.get_all_columns_by_tb(db_name='archery', tb_name='test2') self.assertListEqual(columns.rows, ['id', 'name']) @patch('sql.engines.oracle.OracleEngine.query', return_value=ResultSet(rows=[('archery',), ('template1',), ('template0',)])) def test_describe_table(self, _query): new_engine = OracleEngine(instance=self.ins) describe = new_engine.describe_table(db_name='archery', tb_name='text') self.assertIsInstance(describe, ResultSet) def test_query_check_disable_sql(self): sql = "update xxx set a=1;" new_engine = OracleEngine(instance=self.ins) check_result = new_engine.query_check(db_name='archery', sql=sql) self.assertDictEqual(check_result, {'msg': '仅支持^select语法!', 'bad_query': True, 'filtered_sql': sql.strip(';'), 'has_star': False}) def test_query_check_star_sql(self): sql = "select * from xx;" new_engine = OracleEngine(instance=self.ins) check_result = new_engine.query_check(db_name='archery', sql=sql) self.assertDictEqual(check_result, {'msg': '禁止使用 * 关键词\n', 'bad_query': False, 'filtered_sql': sql.strip(';'), 'has_star': True}) def test_query_check_IndexError(self): sql = "" new_engine = OracleEngine(instance=self.ins) check_result = new_engine.query_check(db_name='archery', sql=sql) self.assertDictEqual(check_result, {'msg': '没有有效的SQL语句', 'bad_query': True, 'filtered_sql': sql.strip(), 'has_star': False}) def test_query_check_plus(self): sql = "select 100+1 from tb;" new_engine = OracleEngine(instance=self.ins) check_result = new_engine.query_check(db_name='archery', sql=sql) self.assertDictEqual(check_result, {'msg': '禁止使用 + 关键词\n', 'bad_query': True, 'filtered_sql': sql.strip(';'), 'has_star': False}) def test_filter_sql_with_delimiter(self): sql = "select * from xx;" new_engine = OracleEngine(instance=self.ins) check_result = new_engine.filter_sql(sql=sql, limit_num=100) self.assertEqual(check_result, "select * from xx WHERE ROWNUM <= 100") def test_filter_sql_with_delimiter_and_where(self): sql = "select * from xx where id>1;" new_engine = OracleEngine(instance=self.ins) check_result = new_engine.filter_sql(sql=sql, limit_num=100) self.assertEqual(check_result, "select * from xx where id>1 AND ROWNUM <= 100") def test_filter_sql_without_delimiter(self): sql = "select * from xx;" new_engine = OracleEngine(instance=self.ins) check_result = new_engine.filter_sql(sql=sql, limit_num=100) self.assertEqual(check_result, "select * from xx WHERE ROWNUM <= 100") def test_filter_sql_with_limit(self): sql = "select * from xx limit 10;" new_engine = OracleEngine(instance=self.ins) check_result = new_engine.filter_sql(sql=sql, limit_num=1) self.assertEqual(check_result, "select * from xx limit 10 WHERE ROWNUM <= 1") def test_query_masking(self): query_result = ResultSet() new_engine = OracleEngine(instance=self.ins) masking_result = new_engine.query_masking(schema_name='', sql='select 1', resultset=query_result) self.assertEqual(masking_result, query_result) def test_execute_check_select_sql(self): sql = 'select * from user;' row = ReviewResult(id=1, errlevel=2, stagestatus='驳回不支持语句', errormessage='仅支持DML和DDL语句，查询语句请使用SQL查询功能！', sql=sql) new_engine = OracleEngine(instance=self.ins) check_result = new_engine.execute_check(db_name='archery', sql=sql) self.assertIsInstance(check_result, ReviewSet) self.assertEqual(check_result.rows[0].__dict__, row.__dict__) def test_execute_check_critical_sql(self): self.sys_config.set('critical_ddl_regex', '^|update') self.sys_config.get_all_config() sql = 'update user set id=1' row = ReviewResult(id=1, errlevel=2, stagestatus='驳回高危SQL', errormessage='禁止提交匹配' + '^|update' + '条件的语句！', sql=sql) new_engine = OracleEngine(instance=self.ins) check_result = new_engine.execute_check(db_name='archery', sql=sql) self.assertIsInstance(check_result, ReviewSet) self.assertEqual(check_result.rows[0].__dict__, row.__dict__) def test_execute_check_normal_sql(self): self.sys_config.purge() sql = 'alter table tb set id=1' row = ReviewResult(id=1, errlevel=0, stagestatus='Audit completed', errormessage='None', sql=sql, affected_rows=0, execute_time=0, ) new_engine = OracleEngine(instance=self.ins) check_result = new_engine.execute_check(db_name='archery', sql=sql) self.assertIsInstance(check_result, ReviewSet) self.assertEqual(check_result.rows[0].__dict__, row.__dict__) @patch('cx_Oracle.connect.cursor.execute') @patch('cx_Oracle.connect.cursor') @patch('cx_Oracle.connect') def test_execute_workflow_success(self, _conn, _cursor, _execute): sql = 'update user set id=1' row = ReviewResult(id=1, errlevel=0, stagestatus='Execute Successfully', errormessage='None', sql=sql, affected_rows=0, execute_time=0, full_sql=sql) wf = SqlWorkflow.objects.create( workflow_name='some_name', group_id=1, group_name='g1', engineer_display='', audit_auth_groups='some_group', create_time=datetime.now() - timedelta(days=1), status='workflow_finish', is_backup=True, instance=self.ins, db_name='some_db', syntax_type=1 ) SqlWorkflowContent.objects.create(workflow=wf, sql_content=sql) new_engine = OracleEngine(instance=self.ins) execute_result = new_engine.execute_workflow(workflow=wf) self.assertIsInstance(execute_result, ReviewSet) self.assertEqual(execute_result.rows[0].__dict__.keys(), row.__dict__.keys()) @patch('cx_Oracle.connect.cursor.execute') @patch('cx_Oracle.connect.cursor') @patch('cx_Oracle.connect', return_value=RuntimeError) def test_execute_workflow_exception(self, _conn, _cursor, _execute): sql = 'update user set id=1' row = ReviewResult(id=1, errlevel=2, stagestatus='Execute Failed', errormessage=f'异常信息：{f"Oracle命令执行报错，语句：{sql}"}', sql=sql, affected_rows=0, execute_time=0, ) wf = SqlWorkflow.objects.create( workflow_name='some_name', group_id=1, group_name='g1', engineer_display='', audit_auth_groups='some_group', create_time=datetime.now() - timedelta(days=1), status='workflow_finish', is_backup=True, instance=self.ins, db_name='some_db', syntax_type=1 ) SqlWorkflowContent.objects.create(workflow=wf, sql_content=sql) with self.assertRaises(AttributeError): new_engine = OracleEngine(instance=self.ins) execute_result = new_engine.execute_workflow(workflow=wf) self.assertIsInstance(execute_result, ReviewSet) self.assertEqual(execute_result.rows[0].__dict__.keys(), row.__dict__.keys())

44.412112

196

0.643097

7,036

60,134

5.211342

0.053724

0.060627

0.029045

0.019091

0.884119

0.859465

0.828265

0.811465

0.781002

0.750593

0

0.013709

0.234559

60,134

1,353

197

44.444937

0.782898

0.002894

0

0.749367

0

0.000844

0.1632

0.048311

0.001688

0

0.140928

1

0.1173

false

0.008439

0.013502

0

0.139241

0.002532

0

null

0

1

0

1

0

null

0

7

8a61e7e5919e4c0513c8489fd5faf6513c4046a7

11,454

py

Python

tests/test_exact_solver.py

pau557/dimod

d3c6d3abf23182b035e1100c46f7c947202edefb

[ "Apache-2.0" ]

null

tests/test_exact_solver.py

pau557/dimod

d3c6d3abf23182b035e1100c46f7c947202edefb

[ "Apache-2.0" ]

null

tests/test_exact_solver.py

pau557/dimod

d3c6d3abf23182b035e1100c46f7c947202edefb

[ "Apache-2.0" ]

null

# Copyright 2018 D-Wave Systems Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # # ================================================================================================ import unittest import numpy as np import numpy.testing as npt import dimod import dimod.testing from dimod.exceptions import SamplerUnknownArgWarning @dimod.testing.load_sampler_bqm_tests(dimod.ExactSolver) class TestExactSolver(unittest.TestCase): def test_instantiation(self): sampler = dimod.ExactSolver() dimod.testing.assert_sampler_api(sampler) # this sampler has no properties and has no accepted parameters self.assertEqual(sampler.properties, {}) self.assertEqual(sampler.parameters, {}) def test_sample_SPIN_empty(self): bqm = dimod.BinaryQuadraticModel({}, {}, 0.0, dimod.SPIN) response = dimod.ExactSolver().sample(bqm) self.assertEqual(response.record.sample.shape, (0, 0)) self.assertIs(response.vartype, bqm.vartype) def test_sample_BINARY_empty(self): bqm = dimod.BinaryQuadraticModel({}, {}, 0.0, dimod.BINARY) response = dimod.ExactSolver().sample(bqm) self.assertEqual(response.record.sample.shape, (0, 0)) self.assertIs(response.vartype, bqm.vartype) def test_sample_SPIN(self): bqm = dimod.BinaryQuadraticModel({0: 0.0, 1: 0.0, 2: 0.0}, {(0, 1): -1.0, (1, 2): 1.0, (0, 2): 1.0}, 1.0, dimod.SPIN) response = dimod.ExactSolver().sample(bqm) # every possible conbination should be present self.assertEqual(len(response), 2**len(bqm)) self.assertEqual(response.record.sample.shape, (2**len(bqm), len(bqm))) # confirm vartype self.assertIs(response.vartype, bqm.vartype) dimod.testing.assert_response_energies(response, bqm) def test_sample_BINARY(self): bqm = dimod.BinaryQuadraticModel({0: 0.0, 1: 0.0, 2: 0.0}, {(0, 1): -1.0, (1, 2): 1.0, (0, 2): 1.0}, 1.0, dimod.BINARY) response = dimod.ExactSolver().sample(bqm) # every possible conbination should be present self.assertEqual(len(response), 2**len(bqm)) self.assertEqual(response.record.sample.shape, (2**len(bqm), len(bqm))) # confirm vartype self.assertIs(response.vartype, bqm.vartype) dimod.testing.assert_response_energies(response, bqm) def test_sample_ising(self): h = {0: 0.0, 1: 0.0, 2: 0.0} J = {(0, 1): -1.0, (1, 2): 1.0, (0, 2): 1.0} response = dimod.ExactSolver().sample_ising(h, J) # every possible conbination should be present self.assertEqual(len(response), 2**3) self.assertEqual(response.record.sample.shape, (2**3, 3)) # confirm vartype self.assertIs(response.vartype, dimod.SPIN) # check their energies for sample, energy in response.data(['sample', 'energy']): self.assertAlmostEqual(energy, dimod.ising_energy(sample, h, J)) def test_sample_qubo(self): Q = {(0, 0): 0.0, (1, 1): 0.0, (2, 2): 0.0} Q.update({(0, 1): -1.0, (1, 2): 1.0, (0, 2): 1.0}) response = dimod.ExactSolver().sample_qubo(Q) # every possible conbination should be present self.assertEqual(len(response), 2**3) self.assertEqual(response.record.sample.shape, (2**3, 3)) # confirm vartype self.assertIs(response.vartype, dimod.BINARY) # check their energies for sample, energy in response.data(['sample', 'energy']): self.assertAlmostEqual(energy, dimod.qubo_energy(sample, Q)) def test_sample_mixed_labels(self): h = {'3': 0.6669921875, 4: -2.0, 5: -1.334375, 6: 0.0, 7: -2.0, '1': 1.3328125, '2': -1.3330078125, '0': -0.666796875} J = {(5, '2'): 1.0, (7, '0'): 0.9998046875, (4, '0'): 0.9998046875, ('3', 4): 0.9998046875, (7, '1'): -1.0, (5, '1'): 0.6671875, (6, '2'): 1.0, ('3', 6): 0.6671875, (7, '2'): 0.9986328125, (5, '0'): -1.0, ('3', 5): -0.6671875, ('3', 7): 0.998828125, (4, '1'): -1.0, (6, '0'): -0.3328125, (4, '2'): 1.0, (6, '1'): 0.0} response = dimod.ExactSolver().sample_ising(h, J) # every possible conbination should be present self.assertEqual(len(response), 2**len(h)) self.assertEqual(response.record.sample.shape, (2**len(h), len(h))) # confirm vartype self.assertIs(response.vartype, dimod.SPIN) # check their energies for sample, energy in response.data(['sample', 'energy']): self.assertAlmostEqual(energy, dimod.ising_energy(sample, h, J)) def test_arbitrary_labels(self): bqm = dimod.BQM.from_ising({}, {'ab': -1}) sampleset = dimod.ExactSolver().sample(bqm) self.assertEqual(set(sampleset.variables), set(bqm.variables)) def test_kwargs(self): bqm = dimod.BinaryQuadraticModel({}, {}, 0.0, dimod.SPIN) with self.assertWarns(SamplerUnknownArgWarning): sampleset = dimod.ExactSolver().sample(bqm, a=1, b="abc") class TestExactPolySolver(unittest.TestCase): def test_instantiation(self): sampler = dimod.ExactPolySolver() # this sampler has no properties and has no accepted parameters self.assertEqual(sampler.properties, {}) self.assertEqual(sampler.parameters, {}) def test_sample_SPIN_empty(self): poly= dimod.BinaryPolynomial({}, dimod.SPIN) response = dimod.ExactPolySolver().sample_poly(poly) self.assertEqual(response.record.sample.shape, (0, 0)) self.assertIs(response.vartype, poly.vartype) def test_sample_BINARY_empty(self): poly = dimod.BinaryPolynomial({}, dimod.BINARY) response = dimod.ExactPolySolver().sample_poly(poly) self.assertEqual(response.record.sample.shape, (0, 0)) self.assertIs(response.vartype, poly.vartype) def test_sample_SPIN(self): poly = dimod.BinaryPolynomial.from_hising({0: 0.0, 1: 0.0, 2: 0.0}, {(0, 1): -1.0, (1, 2): 1.0, (0, 1, 2): 1.0}, 1.0) response = dimod.ExactPolySolver().sample_poly(poly) # every possible combination should be present self.assertEqual(len(response), 2**len(poly.variables)) self.assertEqual(response.record.sample.shape, (2**len(poly.variables), len(poly.variables))) # confirm vartype self.assertIs(response.vartype, poly.vartype) dimod.testing.assert_response_energies(response, poly) def test_sample_BINARY(self): poly = dimod.BinaryPolynomial({(): 1.0, (0,): 0.0, (1,): 0.0, (0, 1): -1.0, (1, 2): 1.0, (0, 1, 2): 1.0}, dimod.BINARY) response = dimod.ExactPolySolver().sample_poly(poly) # every possible conbination should be present self.assertEqual(len(response), 2**len(poly.variables)) self.assertEqual(response.record.sample.shape, (2**len(poly.variables), len(poly.variables))) # confirm vartype self.assertIs(response.vartype, poly.vartype) dimod.testing.assert_response_energies(response, poly) def test_sample_hising(self): h = {0: 0.0, 1: 0.0, 2: 0.0} J = {(0, 1): -1.0, (1, 2): 1.0, (0, 1, 2): 1.0} response = dimod.ExactPolySolver().sample_hising(h, J) # every possible conbination should be present self.assertEqual(len(response), 2**3) self.assertEqual(response.record.sample.shape, (2**3, 3)) # confirm vartype self.assertIs(response.vartype, dimod.SPIN) def test_sample_hubo(self): Q = {(0, 0): 0.0, (1, 1): 0.0, (2, 2): 0.0} Q.update({(0, 1): -1.0, (1, 2): 1.0, (0, 1, 2): 1.0}) response = dimod.ExactPolySolver().sample_hubo(Q) # every possible conbination should be present self.assertEqual(len(response), 2**3) self.assertEqual(response.record.sample.shape, (2**3, 3)) # confirm vartype self.assertIs(response.vartype, dimod.BINARY) def test_sample_ising(self): h = {0: 0.0, 1: 0.0, 2: 0.0} J = {(0, 1): -1.0, (1, 2): 1.0, (0, 2): 1.0} response = dimod.ExactPolySolver().sample_hising(h, J) # every possible conbination should be present self.assertEqual(len(response), 2**3) self.assertEqual(response.record.sample.shape, (2**3, 3)) # confirm vartype self.assertIs(response.vartype, dimod.SPIN) # check their energies for sample, energy in response.data(['sample', 'energy']): self.assertAlmostEqual(energy, dimod.ising_energy(sample, h, J)) def test_sample_qubo(self): Q = {(0, 0): 0.0, (1, 1): 0.0, (2, 2): 0.0} Q.update({(0, 1): -1.0, (1, 2): 1.0, (0, 2): 1.0}) response = dimod.ExactPolySolver().sample_hubo(Q) # every possible conbination should be present self.assertEqual(len(response), 2**3) self.assertEqual(response.record.sample.shape, (2**3, 3)) # confirm vartype self.assertIs(response.vartype, dimod.BINARY) # check their energies for sample, energy in response.data(['sample', 'energy']): self.assertAlmostEqual(energy, dimod.qubo_energy(sample, Q)) def test_sample_mixed_labels(self): h = {'3': 0.6669921875, 4: -2.0, 5: -1.334375, 6: 0.0, 7: -2.0, '1': 1.3328125, '2': -1.3330078125, '0': -0.666796875} J = {(5, '2'): 1.0, (7, '0'): 0.9998046875, (4, '0'): 0.9998046875, ('3', 4): 0.9998046875, (7, '1'): -1.0, (5, '1'): 0.6671875, (6, '2'): 1.0, ('3', 6): 0.6671875, (7, '2'): 0.9986328125, (5, '0'): -1.0, ('3', 5): -0.6671875, ('3', 7): 0.998828125, (4, '1'): -1.0, (6, '0'): -0.3328125, (4, '2'): 1.0, (6, '1'): 0.0} response = dimod.ExactPolySolver().sample_hising(h, J) # every possible conbination should be present self.assertEqual(len(response), 2**len(h)) self.assertEqual(response.record.sample.shape, (2**len(h), len(h))) # confirm vartype self.assertIs(response.vartype, dimod.SPIN) def test_arbitrary_labels(self): poly = dimod.BinaryPolynomial.from_hising({}, {('a','b','c'): -1}) sampleset = dimod.ExactPolySolver().sample_poly(poly) self.assertEqual(set(sampleset.variables), set(poly.variables)) def test_kwargs(self): poly = dimod.BinaryPolynomial({}, dimod.SPIN) with self.assertWarns(SamplerUnknownArgWarning): response = dimod.ExactPolySolver().sample_poly(poly, a=True, b=2)

39.496552

113

0.591496

1,489

11,454

4.495635

0.107455

0.022707

0.011652

0.069316

0.874664

0.854048

0.793546

0.783089

0.728563

0

0.079072

0.246988

11,454

289

114

39.633218

0.697043

0.143269

0

0.806061

0

0.011059

0

0.375758

1

0.133333

false

0

0.036364

0

0.181818

0

null

0

1

0

1

0

null

0

7

8a821d100203c94607643215a956e3ea4e056e51

40,609

py

Python

silver/migrations/0032_auto_20170201_1342.py

Millennium-Softwares/silver

047566804a3373647bb37f1afbf6b18fbda5a5b2

[ "Apache-2.0" ]

1

2020-05-10T12:33:09.000Z

silver/migrations/0032_auto_20170201_1342.py

Millennium-Softwares/silver

047566804a3373647bb37f1afbf6b18fbda5a5b2

[ "Apache-2.0" ]

null

silver/migrations/0032_auto_20170201_1342.py

Millennium-Softwares/silver

047566804a3373647bb37f1afbf6b18fbda5a5b2

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import migrations, models import django.db.models.deletion import django_fsm import jsonfield.fields from decimal import Decimal import silver.utils.models import django.utils.timezone import django.core.validators import uuid class Migration(migrations.Migration): dependencies = [ ('silver', '0031_auto_20170125_1343'), ] def customer_name_split_forward(apps, schema_editor): Customer = apps.get_model('silver', 'Customer') for customer in Customer.objects.all(): try: customer.first_name, customer.last_name = customer.name.rsplit(" ", 1) except ValueError: customer.last_name = customer.name customer.save() def customer_name_split_reverse(apps, schema_editor): Customer = apps.get_model('silver', 'Customer') for customer in Customer.objects.all(): if customer.first_name: customer.name = "%s %s" % (customer.first_name, customer.last_name) else: customer.name = customer.last_name customer.save() operations = [ migrations.CreateModel( name='Document', fields=[ ('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)), ('kind', models.CharField(max_length=40)), ('series', models.CharField(max_length=20, null=True, blank=True)), ('number', models.IntegerField(null=True, blank=True)), ('due_date', models.DateField(null=True, blank=True)), ('issue_date', models.DateField(null=True, blank=True)), ('paid_date', models.DateField(null=True, blank=True)), ('cancel_date', models.DateField(null=True, blank=True)), ('sales_tax_percent', models.DecimalField(null=True, max_digits=4, decimal_places=2, blank=True)), ('sales_tax_name', models.CharField(max_length=64, null=True, blank=True)), ('currency', models.CharField(max_length=4)), ('state', models.CharField(max_length=10)), ('pdf', models.FileField(upload_to=silver.models.documents.base.documents_pdf_path, null=True, editable=False, blank=True)), ], options={ 'managed': False, }, ), migrations.CreateModel( name='PaymentMethod', fields=[ ('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)), ('payment_processor', models.CharField(max_length=256, choices=[(b'manual', b'manual')])), ('added_at', models.DateTimeField(default=django.utils.timezone.now)), ('data', jsonfield.fields.JSONField(default={}, null=True, blank=True)), ('verified', models.BooleanField(default=False)), ('canceled', models.BooleanField(default=False)), ], ), migrations.CreateModel( name='Transaction', fields=[ ('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)), ('amount', models.DecimalField(max_digits=12, decimal_places=2, validators=[django.core.validators.MinValueValidator(Decimal('0.00'))])), ('currency', models.CharField(help_text=b'The currency used for billing.', max_length=4, choices=[('AED', 'UAE Dirham'), ('AFN', 'Afghani'), ('ALL', 'Lek'), ('AMD', 'Armenian Dram'), ('ANG', 'Netherlands Antillean Guilder'), ('AOA', 'Kwanza'), ('ARS', 'Argentine Peso'), ('AUD', 'Australian Dollar'), ('AWG', 'Aruban Florin'), ('AZN', 'Azerbaijanian Manat'), ('BAM', 'Convertible Mark'), ('BBD', 'Barbados Dollar'), ('BDT', 'Taka'), ('BGN', 'Bulgarian Lev'), ('BHD', 'Bahraini Dinar'), ('BIF', 'Burundi Franc'), ('BMD', 'Bermudian Dollar'), ('BND', 'Brunei Dollar'), ('BOB', 'Boliviano'), ('BRL', 'Brazilian Real'), ('BSD', 'Bahamian Dollar'), ('BTN', 'Ngultrum'), ('BWP', 'Pula'), ('BYR', 'Belarusian Ruble'), ('BZD', 'Belize Dollar'), ('CAD', 'Canadian Dollar'), ('CDF', 'Congolese Franc'), ('CHF', 'Swiss Franc'), ('CLP', 'Chilean Peso'), ('CNY', 'Yuan Renminbi'), ('COP', 'Colombian Peso'), ('CRC', 'Costa Rican Colon'), ('CUC', 'Peso Convertible'), ('CUP', 'Cuban Peso'), ('CVE', 'Cabo Verde Escudo'), ('CZK', 'Czech Koruna'), ('DJF', 'Djibouti Franc'), ('DKK', 'Danish Krone'), ('DOP', 'Dominican Peso'), ('DZD', 'Algerian Dinar'), ('EGP', 'Egyptian Pound'), ('ERN', 'Nakfa'), ('ETB', 'Ethiopian Birr'), ('EUR', 'Euro'), ('FJD', 'Fiji Dollar'), ('FKP', 'Falkland Islands Pound'), ('GBP', 'Pound Sterling'), ('GEL', 'Lari'), ('GHS', 'Ghana Cedi'), ('GIP', 'Gibraltar Pound'), ('GMD', 'Dalasi'), ('GNF', 'Guinea Franc'), ('GTQ', 'Quetzal'), ('GYD', 'Guyana Dollar'), ('HKD', 'Hong Kong Dollar'), ('HNL', 'Lempira'), ('HRK', 'Kuna'), ('HTG', 'Gourde'), ('HUF', 'Forint'), ('IDR', 'Rupiah'), ('ILS', 'New Israeli Sheqel'), ('INR', 'Indian Rupee'), ('IQD', 'Iraqi Dinar'), ('IRR', 'Iranian Rial'), ('ISK', 'Iceland Krona'), ('JMD', 'Jamaican Dollar'), ('JOD', 'Jordanian Dinar'), ('JPY', 'Yen'), ('KES', 'Kenyan Shilling'), ('KGS', 'Som'), ('KHR', 'Riel'), ('KMF', 'Comoro Franc'), ('KPW', 'North Korean Won'), ('KRW', 'Won'), ('KWD', 'Kuwaiti Dinar'), ('KYD', 'Cayman Islands Dollar'), ('KZT', 'Tenge'), ('LAK', 'Kip'), ('LBP', 'Lebanese Pound'), ('LKR', 'Sri Lanka Rupee'), ('LRD', 'Liberian Dollar'), ('LSL', 'Loti'), ('LYD', 'Libyan Dinar'), ('MAD', 'Moroccan Dirham'), ('MDL', 'Moldovan Leu'), ('MGA', 'Malagasy Ariary'), ('MKD', 'Denar'), ('MMK', 'Kyat'), ('MNT', 'Tugrik'), ('MOP', 'Pataca'), ('MRO', 'Ouguiya'), ('MUR', 'Mauritius Rupee'), ('MVR', 'Rufiyaa'), ('MWK', 'Malawi Kwacha'), ('MXN', 'Mexican Peso'), ('MYR', 'Malaysian Ringgit'), ('MZN', 'Mozambique Metical'), ('NAD', 'Namibia Dollar'), ('NGN', 'Naira'), ('NIO', 'Cordoba Oro'), ('NOK', 'Norwegian Krone'), ('NPR', 'Nepalese Rupee'), ('NZD', 'New Zealand Dollar'), ('OMR', 'Rial Omani'), ('PAB', 'Balboa'), ('PEN', 'Sol'), ('PGK', 'Kina'), ('PHP', 'Philippine Peso'), ('PKR', 'Pakistan Rupee'), ('PLN', 'Zloty'), ('PYG', 'Guarani'), ('QAR', 'Qatari Rial'), ('RON', 'Romanian Leu'), ('RSD', 'Serbian Dinar'), ('RUB', 'Russian Ruble'), ('RWF', 'Rwanda Franc'), ('SAR', 'Saudi Riyal'), ('SBD', 'Solomon Islands Dollar'), ('SCR', 'Seychelles Rupee'), ('SDG', 'Sudanese Pound'), ('SEK', 'Swedish Krona'), ('SGD', 'Singapore Dollar'), ('SHP', 'Saint Helena Pound'), ('SLL', 'Leone'), ('SOS', 'Somali Shilling'), ('SRD', 'Surinam Dollar'), ('SSP', 'South Sudanese Pound'), ('STD', 'Dobra'), ('SVC', 'El Salvador Colon'), ('SYP', 'Syrian Pound'), ('SZL', 'Lilangeni'), ('THB', 'Baht'), ('TJS', 'Somoni'), ('TMT', 'Turkmenistan New Manat'), ('TND', 'Tunisian Dinar'), ('TOP', 'Pa\u2019anga'), ('TRY', 'Turkish Lira'), ('TTD', 'Trinidad and Tobago Dollar'), ('TWD', 'New Taiwan Dollar'), ('TZS', 'Tanzanian Shilling'), ('UAH', 'Hryvnia'), ('UGX', 'Uganda Shilling'), ('USD', 'US Dollar'), ('UYU', 'Peso Uruguayo'), ('UZS', 'Uzbekistan Sum'), ('VEF', 'Bol\xedvar'), ('VND', 'Dong'), ('VUV', 'Vatu'), ('WST', 'Tala'), ('XAF', 'CFA Franc BEAC'), ('XAG', 'Silver'), ('XAU', 'Gold'), ('XBA', 'Bond Markets Unit European Composite Unit (EURCO)'), ('XBB', 'Bond Markets Unit European Monetary Unit (E.M.U.-6)'), ('XBC', 'Bond Markets Unit European Unit of Account 9 (E.U.A.-9)'), ('XBD', 'Bond Markets Unit European Unit of Account 17 (E.U.A.-17)'), ('XCD', 'East Caribbean Dollar'), ('XDR', 'SDR (Special Drawing Right)'), ('XOF', 'CFA Franc BCEAO'), ('XPD', 'Palladium'), ('XPF', 'CFP Franc'), ('XPT', 'Platinum'), ('XSU', 'Sucre'), ('XTS', 'Codes specifically reserved for testing purposes'), ('XUA', 'ADB Unit of Account'), ('XXX', 'The codes assigned for transactions where no currency is involved'), ('YER', 'Yemeni Rial'), ('ZAR', 'Rand'), ('ZMW', 'Zambian Kwacha'), ('ZWL', 'Zimbabwe Dollar')])), ('external_reference', models.CharField(max_length=256, null=True, blank=True)), ('data', jsonfield.fields.JSONField(default={}, null=True, blank=True)), ('state', django_fsm.FSMField(default=b'initial', max_length=8, choices=[(b'canceled', 'Canceled'), (b'refunded', 'Refunded'), (b'initial', 'Initial'), (b'failed', 'Failed'), (b'settled', 'Settled'), (b'pending', 'Pending')])), ('uuid', models.UUIDField(default=uuid.uuid4)), ('valid_until', models.DateTimeField(null=True, blank=True)), ('last_access', models.DateTimeField(null=True, blank=True)), ('created_at', models.DateTimeField(default=django.utils.timezone.now)), ('updated_at', silver.utils.models.AutoDateTimeField(default=django.utils.timezone.now)), ('fail_code', models.CharField(blank=True, max_length=32, null=True, choices=[(b'default', b'default'), (b'expired_payment_method', b'expired_payment_method'), (b'insufficient_funds', b'insufficient_funds')])), ('refund_code', models.CharField(blank=True, max_length=32, null=True, choices=[(b'default', b'default')])), ('cancel_code', models.CharField(blank=True, max_length=32, null=True, choices=[(b'default', b'default')])), ], ), migrations.AlterModelOptions( name='customer', options={'ordering': ['first_name', 'last_name', 'company']}, ), migrations.AddField( model_name='customer', name='first_name', field=models.CharField(default='', help_text=b"The customer's first name.", max_length=128), preserve_default=False, ), migrations.AddField( model_name='customer', name='last_name', field=models.CharField(default='', help_text=b"The customer's last name.", max_length=128), preserve_default=False, ), migrations.RunPython(customer_name_split_forward, customer_name_split_reverse), migrations.AddField( model_name='customer', name='phone', field=models.CharField(max_length=15, null=True, blank=True), ), migrations.AddField( model_name='provider', name='phone', field=models.CharField(max_length=15, null=True, blank=True), ), migrations.AlterField( model_name='customer', name='country', field=models.CharField(max_length=3, choices=[('AW', 'Aruba'), ('AF', 'Afghanistan'), ('AO', 'Angola'), ('AI', 'Anguilla'), ('AX', '\xc5land Islands'), ('AL', 'Albania'), ('AD', 'Andorra'), ('AE', 'United Arab Emirates'), ('AR', 'Argentina'), ('AM', 'Armenia'), ('AS', 'American Samoa'), ('AQ', 'Antarctica'), ('TF', 'French Southern Territories'), ('AG', 'Antigua and Barbuda'), ('AU', 'Australia'), ('AT', 'Austria'), ('AZ', 'Azerbaijan'), ('BI', 'Burundi'), ('BE', 'Belgium'), ('BJ', 'Benin'), ('BQ', 'Bonaire, Sint Eustatius and Saba'), ('BF', 'Burkina Faso'), ('BD', 'Bangladesh'), ('BG', 'Bulgaria'), ('BH', 'Bahrain'), ('BS', 'Bahamas'), ('BA', 'Bosnia and Herzegovina'), ('BL', 'Saint Barth\xe9lemy'), ('BY', 'Belarus'), ('BZ', 'Belize'), ('BM', 'Bermuda'), ('BO', 'Bolivia, Plurinational State of'), ('BR', 'Brazil'), ('BB', 'Barbados'), ('BN', 'Brunei Darussalam'), ('BT', 'Bhutan'), ('BV', 'Bouvet Island'), ('BW', 'Botswana'), ('CF', 'Central African Republic'), ('CA', 'Canada'), ('CC', 'Cocos (Keeling) Islands'), ('CH', 'Switzerland'), ('CL', 'Chile'), ('CN', 'China'), ('CI', "C\xf4te d'Ivoire"), ('CM', 'Cameroon'), ('CD', 'Congo, The Democratic Republic of the'), ('CG', 'Congo'), ('CK', 'Cook Islands'), ('CO', 'Colombia'), ('KM', 'Comoros'), ('CV', 'Cabo Verde'), ('CR', 'Costa Rica'), ('CU', 'Cuba'), ('CW', 'Cura\xe7ao'), ('CX', 'Christmas Island'), ('KY', 'Cayman Islands'), ('CY', 'Cyprus'), ('CZ', 'Czech Republic'), ('DE', 'Germany'), ('DJ', 'Djibouti'), ('DM', 'Dominica'), ('DK', 'Denmark'), ('DO', 'Dominican Republic'), ('DZ', 'Algeria'), ('EC', 'Ecuador'), ('EG', 'Egypt'), ('ER', 'Eritrea'), ('EH', 'Western Sahara'), ('ES', 'Spain'), ('EE', 'Estonia'), ('ET', 'Ethiopia'), ('FI', 'Finland'), ('FJ', 'Fiji'), ('FK', 'Falkland Islands (Malvinas)'), ('FR', 'France'), ('FO', 'Faroe Islands'), ('FM', 'Micronesia, Federated States of'), ('GA', 'Gabon'), ('GB', 'United Kingdom'), ('GE', 'Georgia'), ('GG', 'Guernsey'), ('GH', 'Ghana'), ('GI', 'Gibraltar'), ('GN', 'Guinea'), ('GP', 'Guadeloupe'), ('GM', 'Gambia'), ('GW', 'Guinea-Bissau'), ('GQ', 'Equatorial Guinea'), ('GR', 'Greece'), ('GD', 'Grenada'), ('GL', 'Greenland'), ('GT', 'Guatemala'), ('GF', 'French Guiana'), ('GU', 'Guam'), ('GY', 'Guyana'), ('HK', 'Hong Kong'), ('HM', 'Heard Island and McDonald Islands'), ('HN', 'Honduras'), ('HR', 'Croatia'), ('HT', 'Haiti'), ('HU', 'Hungary'), ('ID', 'Indonesia'), ('IM', 'Isle of Man'), ('IN', 'India'), ('IO', 'British Indian Ocean Territory'), ('IE', 'Ireland'), ('IR', 'Iran, Islamic Republic of'), ('IQ', 'Iraq'), ('IS', 'Iceland'), ('IL', 'Israel'), ('IT', 'Italy'), ('JM', 'Jamaica'), ('JE', 'Jersey'), ('JO', 'Jordan'), ('JP', 'Japan'), ('KZ', 'Kazakhstan'), ('KE', 'Kenya'), ('KG', 'Kyrgyzstan'), ('KH', 'Cambodia'), ('KI', 'Kiribati'), ('KN', 'Saint Kitts and Nevis'), ('KR', 'Korea, Republic of'), ('KW', 'Kuwait'), ('LA', "Lao People's Democratic Republic"), ('LB', 'Lebanon'), ('LR', 'Liberia'), ('LY', 'Libya'), ('LC', 'Saint Lucia'), ('LI', 'Liechtenstein'), ('LK', 'Sri Lanka'), ('LS', 'Lesotho'), ('LT', 'Lithuania'), ('LU', 'Luxembourg'), ('LV', 'Latvia'), ('MO', 'Macao'), ('MF', 'Saint Martin (French part)'), ('MA', 'Morocco'), ('MC', 'Monaco'), ('MD', 'Moldova, Republic of'), ('MG', 'Madagascar'), ('MV', 'Maldives'), ('MX', 'Mexico'), ('MH', 'Marshall Islands'), ('MK', 'Macedonia, Republic of'), ('ML', 'Mali'), ('MT', 'Malta'), ('MM', 'Myanmar'), ('ME', 'Montenegro'), ('MN', 'Mongolia'), ('MP', 'Northern Mariana Islands'), ('MZ', 'Mozambique'), ('MR', 'Mauritania'), ('MS', 'Montserrat'), ('MQ', 'Martinique'), ('MU', 'Mauritius'), ('MW', 'Malawi'), ('MY', 'Malaysia'), ('YT', 'Mayotte'), ('NA', 'Namibia'), ('NC', 'New Caledonia'), ('NE', 'Niger'), ('NF', 'Norfolk Island'), ('NG', 'Nigeria'), ('NI', 'Nicaragua'), ('NU', 'Niue'), ('NL', 'Netherlands'), ('NO', 'Norway'), ('NP', 'Nepal'), ('NR', 'Nauru'), ('NZ', 'New Zealand'), ('OM', 'Oman'), ('PK', 'Pakistan'), ('PA', 'Panama'), ('PN', 'Pitcairn'), ('PE', 'Peru'), ('PH', 'Philippines'), ('PW', 'Palau'), ('PG', 'Papua New Guinea'), ('PL', 'Poland'), ('PR', 'Puerto Rico'), ('KP', "Korea, Democratic People's Republic of"), ('PT', 'Portugal'), ('PY', 'Paraguay'), ('PS', 'Palestine, State of'), ('PF', 'French Polynesia'), ('QA', 'Qatar'), ('RE', 'R\xe9union'), ('RO', 'Romania'), ('RU', 'Russian Federation'), ('RW', 'Rwanda'), ('SA', 'Saudi Arabia'), ('SD', 'Sudan'), ('SN', 'Senegal'), ('SG', 'Singapore'), ('GS', 'South Georgia and the South Sandwich Islands'), ('SH', 'Saint Helena, Ascension and Tristan da Cunha'), ('SJ', 'Svalbard and Jan Mayen'), ('SB', 'Solomon Islands'), ('SL', 'Sierra Leone'), ('SV', 'El Salvador'), ('SM', 'San Marino'), ('SO', 'Somalia'), ('PM', 'Saint Pierre and Miquelon'), ('RS', 'Serbia'), ('SS', 'South Sudan'), ('ST', 'Sao Tome and Principe'), ('SR', 'Suriname'), ('SK', 'Slovakia'), ('SI', 'Slovenia'), ('SE', 'Sweden'), ('SZ', 'Swaziland'), ('SX', 'Sint Maarten (Dutch part)'), ('SC', 'Seychelles'), ('SY', 'Syrian Arab Republic'), ('TC', 'Turks and Caicos Islands'), ('TD', 'Chad'), ('TG', 'Togo'), ('TH', 'Thailand'), ('TJ', 'Tajikistan'), ('TK', 'Tokelau'), ('TM', 'Turkmenistan'), ('TL', 'Timor-Leste'), ('TO', 'Tonga'), ('TT', 'Trinidad and Tobago'), ('TN', 'Tunisia'), ('TR', 'Turkey'), ('TV', 'Tuvalu'), ('TW', 'Taiwan, Province of China'), ('TZ', 'Tanzania, United Republic of'), ('UG', 'Uganda'), ('UA', 'Ukraine'), ('UM', 'United States Minor Outlying Islands'), ('UY', 'Uruguay'), ('US', 'United States'), ('UZ', 'Uzbekistan'), ('VA', 'Holy See (Vatican City State)'), ('VC', 'Saint Vincent and the Grenadines'), ('VE', 'Venezuela, Bolivarian Republic of'), ('VG', 'Virgin Islands, British'), ('VI', 'Virgin Islands, U.S.'), ('VN', 'Viet Nam'), ('VU', 'Vanuatu'), ('WF', 'Wallis and Futuna'), ('WS', 'Samoa'), ('YE', 'Yemen'), ('ZA', 'South Africa'), ('ZM', 'Zambia'), ('ZW', 'Zimbabwe')]), ), migrations.AlterField( model_name='customer', name='customer_reference', field=models.CharField(blank=True, max_length=256, null=True, help_text=b"It's a reference to be passed between silver and clients. It usually points to an account ID.", validators=[django.core.validators.RegexValidator(regex=b'^[^,]*$', message='Reference must not contain commas.')]), ), migrations.AlterField( model_name='customer', name='email', field=models.CharField(max_length=254, null=True, blank=True), ), migrations.AlterField( model_name='customer', name='meta', field=jsonfield.fields.JSONField(default={}, null=True, blank=True), ), migrations.AlterField( model_name='invoice', name='currency', field=models.CharField(default=b'USD', help_text=b'The currency used for billing.', max_length=4, choices=[('AED', 'UAE Dirham'), ('AFN', 'Afghani'), ('ALL', 'Lek'), ('AMD', 'Armenian Dram'), ('ANG', 'Netherlands Antillean Guilder'), ('AOA', 'Kwanza'), ('ARS', 'Argentine Peso'), ('AUD', 'Australian Dollar'), ('AWG', 'Aruban Florin'), ('AZN', 'Azerbaijanian Manat'), ('BAM', 'Convertible Mark'), ('BBD', 'Barbados Dollar'), ('BDT', 'Taka'), ('BGN', 'Bulgarian Lev'), ('BHD', 'Bahraini Dinar'), ('BIF', 'Burundi Franc'), ('BMD', 'Bermudian Dollar'), ('BND', 'Brunei Dollar'), ('BOB', 'Boliviano'), ('BRL', 'Brazilian Real'), ('BSD', 'Bahamian Dollar'), ('BTN', 'Ngultrum'), ('BWP', 'Pula'), ('BYR', 'Belarusian Ruble'), ('BZD', 'Belize Dollar'), ('CAD', 'Canadian Dollar'), ('CDF', 'Congolese Franc'), ('CHF', 'Swiss Franc'), ('CLP', 'Chilean Peso'), ('CNY', 'Yuan Renminbi'), ('COP', 'Colombian Peso'), ('CRC', 'Costa Rican Colon'), ('CUC', 'Peso Convertible'), ('CUP', 'Cuban Peso'), ('CVE', 'Cabo Verde Escudo'), ('CZK', 'Czech Koruna'), ('DJF', 'Djibouti Franc'), ('DKK', 'Danish Krone'), ('DOP', 'Dominican Peso'), ('DZD', 'Algerian Dinar'), ('EGP', 'Egyptian Pound'), ('ERN', 'Nakfa'), ('ETB', 'Ethiopian Birr'), ('EUR', 'Euro'), ('FJD', 'Fiji Dollar'), ('FKP', 'Falkland Islands Pound'), ('GBP', 'Pound Sterling'), ('GEL', 'Lari'), ('GHS', 'Ghana Cedi'), ('GIP', 'Gibraltar Pound'), ('GMD', 'Dalasi'), ('GNF', 'Guinea Franc'), ('GTQ', 'Quetzal'), ('GYD', 'Guyana Dollar'), ('HKD', 'Hong Kong Dollar'), ('HNL', 'Lempira'), ('HRK', 'Kuna'), ('HTG', 'Gourde'), ('HUF', 'Forint'), ('IDR', 'Rupiah'), ('ILS', 'New Israeli Sheqel'), ('INR', 'Indian Rupee'), ('IQD', 'Iraqi Dinar'), ('IRR', 'Iranian Rial'), ('ISK', 'Iceland Krona'), ('JMD', 'Jamaican Dollar'), ('JOD', 'Jordanian Dinar'), ('JPY', 'Yen'), ('KES', 'Kenyan Shilling'), ('KGS', 'Som'), ('KHR', 'Riel'), ('KMF', 'Comoro Franc'), ('KPW', 'North Korean Won'), ('KRW', 'Won'), ('KWD', 'Kuwaiti Dinar'), ('KYD', 'Cayman Islands Dollar'), ('KZT', 'Tenge'), ('LAK', 'Kip'), ('LBP', 'Lebanese Pound'), ('LKR', 'Sri Lanka Rupee'), ('LRD', 'Liberian Dollar'), ('LSL', 'Loti'), ('LYD', 'Libyan Dinar'), ('MAD', 'Moroccan Dirham'), ('MDL', 'Moldovan Leu'), ('MGA', 'Malagasy Ariary'), ('MKD', 'Denar'), ('MMK', 'Kyat'), ('MNT', 'Tugrik'), ('MOP', 'Pataca'), ('MRO', 'Ouguiya'), ('MUR', 'Mauritius Rupee'), ('MVR', 'Rufiyaa'), ('MWK', 'Malawi Kwacha'), ('MXN', 'Mexican Peso'), ('MYR', 'Malaysian Ringgit'), ('MZN', 'Mozambique Metical'), ('NAD', 'Namibia Dollar'), ('NGN', 'Naira'), ('NIO', 'Cordoba Oro'), ('NOK', 'Norwegian Krone'), ('NPR', 'Nepalese Rupee'), ('NZD', 'New Zealand Dollar'), ('OMR', 'Rial Omani'), ('PAB', 'Balboa'), ('PEN', 'Sol'), ('PGK', 'Kina'), ('PHP', 'Philippine Peso'), ('PKR', 'Pakistan Rupee'), ('PLN', 'Zloty'), ('PYG', 'Guarani'), ('QAR', 'Qatari Rial'), ('RON', 'Romanian Leu'), ('RSD', 'Serbian Dinar'), ('RUB', 'Russian Ruble'), ('RWF', 'Rwanda Franc'), ('SAR', 'Saudi Riyal'), ('SBD', 'Solomon Islands Dollar'), ('SCR', 'Seychelles Rupee'), ('SDG', 'Sudanese Pound'), ('SEK', 'Swedish Krona'), ('SGD', 'Singapore Dollar'), ('SHP', 'Saint Helena Pound'), ('SLL', 'Leone'), ('SOS', 'Somali Shilling'), ('SRD', 'Surinam Dollar'), ('SSP', 'South Sudanese Pound'), ('STD', 'Dobra'), ('SVC', 'El Salvador Colon'), ('SYP', 'Syrian Pound'), ('SZL', 'Lilangeni'), ('THB', 'Baht'), ('TJS', 'Somoni'), ('TMT', 'Turkmenistan New Manat'), ('TND', 'Tunisian Dinar'), ('TOP', 'Pa\u2019anga'), ('TRY', 'Turkish Lira'), ('TTD', 'Trinidad and Tobago Dollar'), ('TWD', 'New Taiwan Dollar'), ('TZS', 'Tanzanian Shilling'), ('UAH', 'Hryvnia'), ('UGX', 'Uganda Shilling'), ('USD', 'US Dollar'), ('UYU', 'Peso Uruguayo'), ('UZS', 'Uzbekistan Sum'), ('VEF', 'Bol\xedvar'), ('VND', 'Dong'), ('VUV', 'Vatu'), ('WST', 'Tala'), ('XAF', 'CFA Franc BEAC'), ('XAG', 'Silver'), ('XAU', 'Gold'), ('XBA', 'Bond Markets Unit European Composite Unit (EURCO)'), ('XBB', 'Bond Markets Unit European Monetary Unit (E.M.U.-6)'), ('XBC', 'Bond Markets Unit European Unit of Account 9 (E.U.A.-9)'), ('XBD', 'Bond Markets Unit European Unit of Account 17 (E.U.A.-17)'), ('XCD', 'East Caribbean Dollar'), ('XDR', 'SDR (Special Drawing Right)'), ('XOF', 'CFA Franc BCEAO'), ('XPD', 'Palladium'), ('XPF', 'CFP Franc'), ('XPT', 'Platinum'), ('XSU', 'Sucre'), ('XTS', 'Codes specifically reserved for testing purposes'), ('XUA', 'ADB Unit of Account'), ('XXX', 'The codes assigned for transactions where no currency is involved'), ('YER', 'Yemeni Rial'), ('ZAR', 'Rand'), ('ZMW', 'Zambian Kwacha'), ('ZWL', 'Zimbabwe Dollar')]), ), migrations.AlterField( model_name='invoice', name='proforma', field=models.ForeignKey(related_name='related_invoice', blank=True, to='silver.Proforma', null=True, on_delete=django.db.models.deletion.CASCADE), ), migrations.AlterField( model_name='plan', name='currency', field=models.CharField(default=b'USD', help_text=b'The currency in which the subscription will be charged.', max_length=4, choices=[('AED', 'UAE Dirham'), ('AFN', 'Afghani'), ('ALL', 'Lek'), ('AMD', 'Armenian Dram'), ('ANG', 'Netherlands Antillean Guilder'), ('AOA', 'Kwanza'), ('ARS', 'Argentine Peso'), ('AUD', 'Australian Dollar'), ('AWG', 'Aruban Florin'), ('AZN', 'Azerbaijanian Manat'), ('BAM', 'Convertible Mark'), ('BBD', 'Barbados Dollar'), ('BDT', 'Taka'), ('BGN', 'Bulgarian Lev'), ('BHD', 'Bahraini Dinar'), ('BIF', 'Burundi Franc'), ('BMD', 'Bermudian Dollar'), ('BND', 'Brunei Dollar'), ('BOB', 'Boliviano'), ('BRL', 'Brazilian Real'), ('BSD', 'Bahamian Dollar'), ('BTN', 'Ngultrum'), ('BWP', 'Pula'), ('BYR', 'Belarusian Ruble'), ('BZD', 'Belize Dollar'), ('CAD', 'Canadian Dollar'), ('CDF', 'Congolese Franc'), ('CHF', 'Swiss Franc'), ('CLP', 'Chilean Peso'), ('CNY', 'Yuan Renminbi'), ('COP', 'Colombian Peso'), ('CRC', 'Costa Rican Colon'), ('CUC', 'Peso Convertible'), ('CUP', 'Cuban Peso'), ('CVE', 'Cabo Verde Escudo'), ('CZK', 'Czech Koruna'), ('DJF', 'Djibouti Franc'), ('DKK', 'Danish Krone'), ('DOP', 'Dominican Peso'), ('DZD', 'Algerian Dinar'), ('EGP', 'Egyptian Pound'), ('ERN', 'Nakfa'), ('ETB', 'Ethiopian Birr'), ('EUR', 'Euro'), ('FJD', 'Fiji Dollar'), ('FKP', 'Falkland Islands Pound'), ('GBP', 'Pound Sterling'), ('GEL', 'Lari'), ('GHS', 'Ghana Cedi'), ('GIP', 'Gibraltar Pound'), ('GMD', 'Dalasi'), ('GNF', 'Guinea Franc'), ('GTQ', 'Quetzal'), ('GYD', 'Guyana Dollar'), ('HKD', 'Hong Kong Dollar'), ('HNL', 'Lempira'), ('HRK', 'Kuna'), ('HTG', 'Gourde'), ('HUF', 'Forint'), ('IDR', 'Rupiah'), ('ILS', 'New Israeli Sheqel'), ('INR', 'Indian Rupee'), ('IQD', 'Iraqi Dinar'), ('IRR', 'Iranian Rial'), ('ISK', 'Iceland Krona'), ('JMD', 'Jamaican Dollar'), ('JOD', 'Jordanian Dinar'), ('JPY', 'Yen'), ('KES', 'Kenyan Shilling'), ('KGS', 'Som'), ('KHR', 'Riel'), ('KMF', 'Comoro Franc'), ('KPW', 'North Korean Won'), ('KRW', 'Won'), ('KWD', 'Kuwaiti Dinar'), ('KYD', 'Cayman Islands Dollar'), ('KZT', 'Tenge'), ('LAK', 'Kip'), ('LBP', 'Lebanese Pound'), ('LKR', 'Sri Lanka Rupee'), ('LRD', 'Liberian Dollar'), ('LSL', 'Loti'), ('LYD', 'Libyan Dinar'), ('MAD', 'Moroccan Dirham'), ('MDL', 'Moldovan Leu'), ('MGA', 'Malagasy Ariary'), ('MKD', 'Denar'), ('MMK', 'Kyat'), ('MNT', 'Tugrik'), ('MOP', 'Pataca'), ('MRO', 'Ouguiya'), ('MUR', 'Mauritius Rupee'), ('MVR', 'Rufiyaa'), ('MWK', 'Malawi Kwacha'), ('MXN', 'Mexican Peso'), ('MYR', 'Malaysian Ringgit'), ('MZN', 'Mozambique Metical'), ('NAD', 'Namibia Dollar'), ('NGN', 'Naira'), ('NIO', 'Cordoba Oro'), ('NOK', 'Norwegian Krone'), ('NPR', 'Nepalese Rupee'), ('NZD', 'New Zealand Dollar'), ('OMR', 'Rial Omani'), ('PAB', 'Balboa'), ('PEN', 'Sol'), ('PGK', 'Kina'), ('PHP', 'Philippine Peso'), ('PKR', 'Pakistan Rupee'), ('PLN', 'Zloty'), ('PYG', 'Guarani'), ('QAR', 'Qatari Rial'), ('RON', 'Romanian Leu'), ('RSD', 'Serbian Dinar'), ('RUB', 'Russian Ruble'), ('RWF', 'Rwanda Franc'), ('SAR', 'Saudi Riyal'), ('SBD', 'Solomon Islands Dollar'), ('SCR', 'Seychelles Rupee'), ('SDG', 'Sudanese Pound'), ('SEK', 'Swedish Krona'), ('SGD', 'Singapore Dollar'), ('SHP', 'Saint Helena Pound'), ('SLL', 'Leone'), ('SOS', 'Somali Shilling'), ('SRD', 'Surinam Dollar'), ('SSP', 'South Sudanese Pound'), ('STD', 'Dobra'), ('SVC', 'El Salvador Colon'), ('SYP', 'Syrian Pound'), ('SZL', 'Lilangeni'), ('THB', 'Baht'), ('TJS', 'Somoni'), ('TMT', 'Turkmenistan New Manat'), ('TND', 'Tunisian Dinar'), ('TOP', 'Pa\u2019anga'), ('TRY', 'Turkish Lira'), ('TTD', 'Trinidad and Tobago Dollar'), ('TWD', 'New Taiwan Dollar'), ('TZS', 'Tanzanian Shilling'), ('UAH', 'Hryvnia'), ('UGX', 'Uganda Shilling'), ('USD', 'US Dollar'), ('UYU', 'Peso Uruguayo'), ('UZS', 'Uzbekistan Sum'), ('VEF', 'Bol\xedvar'), ('VND', 'Dong'), ('VUV', 'Vatu'), ('WST', 'Tala'), ('XAF', 'CFA Franc BEAC'), ('XAG', 'Silver'), ('XAU', 'Gold'), ('XBA', 'Bond Markets Unit European Composite Unit (EURCO)'), ('XBB', 'Bond Markets Unit European Monetary Unit (E.M.U.-6)'), ('XBC', 'Bond Markets Unit European Unit of Account 9 (E.U.A.-9)'), ('XBD', 'Bond Markets Unit European Unit of Account 17 (E.U.A.-17)'), ('XCD', 'East Caribbean Dollar'), ('XDR', 'SDR (Special Drawing Right)'), ('XOF', 'CFA Franc BCEAO'), ('XPD', 'Palladium'), ('XPF', 'CFP Franc'), ('XPT', 'Platinum'), ('XSU', 'Sucre'), ('XTS', 'Codes specifically reserved for testing purposes'), ('XUA', 'ADB Unit of Account'), ('XXX', 'The codes assigned for transactions where no currency is involved'), ('YER', 'Yemeni Rial'), ('ZAR', 'Rand'), ('ZMW', 'Zambian Kwacha'), ('ZWL', 'Zimbabwe Dollar')]), ), migrations.AlterField( model_name='proforma', name='currency', field=models.CharField(default=b'USD', help_text=b'The currency used for billing.', max_length=4, choices=[('AED', 'UAE Dirham'), ('AFN', 'Afghani'), ('ALL', 'Lek'), ('AMD', 'Armenian Dram'), ('ANG', 'Netherlands Antillean Guilder'), ('AOA', 'Kwanza'), ('ARS', 'Argentine Peso'), ('AUD', 'Australian Dollar'), ('AWG', 'Aruban Florin'), ('AZN', 'Azerbaijanian Manat'), ('BAM', 'Convertible Mark'), ('BBD', 'Barbados Dollar'), ('BDT', 'Taka'), ('BGN', 'Bulgarian Lev'), ('BHD', 'Bahraini Dinar'), ('BIF', 'Burundi Franc'), ('BMD', 'Bermudian Dollar'), ('BND', 'Brunei Dollar'), ('BOB', 'Boliviano'), ('BRL', 'Brazilian Real'), ('BSD', 'Bahamian Dollar'), ('BTN', 'Ngultrum'), ('BWP', 'Pula'), ('BYR', 'Belarusian Ruble'), ('BZD', 'Belize Dollar'), ('CAD', 'Canadian Dollar'), ('CDF', 'Congolese Franc'), ('CHF', 'Swiss Franc'), ('CLP', 'Chilean Peso'), ('CNY', 'Yuan Renminbi'), ('COP', 'Colombian Peso'), ('CRC', 'Costa Rican Colon'), ('CUC', 'Peso Convertible'), ('CUP', 'Cuban Peso'), ('CVE', 'Cabo Verde Escudo'), ('CZK', 'Czech Koruna'), ('DJF', 'Djibouti Franc'), ('DKK', 'Danish Krone'), ('DOP', 'Dominican Peso'), ('DZD', 'Algerian Dinar'), ('EGP', 'Egyptian Pound'), ('ERN', 'Nakfa'), ('ETB', 'Ethiopian Birr'), ('EUR', 'Euro'), ('FJD', 'Fiji Dollar'), ('FKP', 'Falkland Islands Pound'), ('GBP', 'Pound Sterling'), ('GEL', 'Lari'), ('GHS', 'Ghana Cedi'), ('GIP', 'Gibraltar Pound'), ('GMD', 'Dalasi'), ('GNF', 'Guinea Franc'), ('GTQ', 'Quetzal'), ('GYD', 'Guyana Dollar'), ('HKD', 'Hong Kong Dollar'), ('HNL', 'Lempira'), ('HRK', 'Kuna'), ('HTG', 'Gourde'), ('HUF', 'Forint'), ('IDR', 'Rupiah'), ('ILS', 'New Israeli Sheqel'), ('INR', 'Indian Rupee'), ('IQD', 'Iraqi Dinar'), ('IRR', 'Iranian Rial'), ('ISK', 'Iceland Krona'), ('JMD', 'Jamaican Dollar'), ('JOD', 'Jordanian Dinar'), ('JPY', 'Yen'), ('KES', 'Kenyan Shilling'), ('KGS', 'Som'), ('KHR', 'Riel'), ('KMF', 'Comoro Franc'), ('KPW', 'North Korean Won'), ('KRW', 'Won'), ('KWD', 'Kuwaiti Dinar'), ('KYD', 'Cayman Islands Dollar'), ('KZT', 'Tenge'), ('LAK', 'Kip'), ('LBP', 'Lebanese Pound'), ('LKR', 'Sri Lanka Rupee'), ('LRD', 'Liberian Dollar'), ('LSL', 'Loti'), ('LYD', 'Libyan Dinar'), ('MAD', 'Moroccan Dirham'), ('MDL', 'Moldovan Leu'), ('MGA', 'Malagasy Ariary'), ('MKD', 'Denar'), ('MMK', 'Kyat'), ('MNT', 'Tugrik'), ('MOP', 'Pataca'), ('MRO', 'Ouguiya'), ('MUR', 'Mauritius Rupee'), ('MVR', 'Rufiyaa'), ('MWK', 'Malawi Kwacha'), ('MXN', 'Mexican Peso'), ('MYR', 'Malaysian Ringgit'), ('MZN', 'Mozambique Metical'), ('NAD', 'Namibia Dollar'), ('NGN', 'Naira'), ('NIO', 'Cordoba Oro'), ('NOK', 'Norwegian Krone'), ('NPR', 'Nepalese Rupee'), ('NZD', 'New Zealand Dollar'), ('OMR', 'Rial Omani'), ('PAB', 'Balboa'), ('PEN', 'Sol'), ('PGK', 'Kina'), ('PHP', 'Philippine Peso'), ('PKR', 'Pakistan Rupee'), ('PLN', 'Zloty'), ('PYG', 'Guarani'), ('QAR', 'Qatari Rial'), ('RON', 'Romanian Leu'), ('RSD', 'Serbian Dinar'), ('RUB', 'Russian Ruble'), ('RWF', 'Rwanda Franc'), ('SAR', 'Saudi Riyal'), ('SBD', 'Solomon Islands Dollar'), ('SCR', 'Seychelles Rupee'), ('SDG', 'Sudanese Pound'), ('SEK', 'Swedish Krona'), ('SGD', 'Singapore Dollar'), ('SHP', 'Saint Helena Pound'), ('SLL', 'Leone'), ('SOS', 'Somali Shilling'), ('SRD', 'Surinam Dollar'), ('SSP', 'South Sudanese Pound'), ('STD', 'Dobra'), ('SVC', 'El Salvador Colon'), ('SYP', 'Syrian Pound'), ('SZL', 'Lilangeni'), ('THB', 'Baht'), ('TJS', 'Somoni'), ('TMT', 'Turkmenistan New Manat'), ('TND', 'Tunisian Dinar'), ('TOP', 'Pa\u2019anga'), ('TRY', 'Turkish Lira'), ('TTD', 'Trinidad and Tobago Dollar'), ('TWD', 'New Taiwan Dollar'), ('TZS', 'Tanzanian Shilling'), ('UAH', 'Hryvnia'), ('UGX', 'Uganda Shilling'), ('USD', 'US Dollar'), ('UYU', 'Peso Uruguayo'), ('UZS', 'Uzbekistan Sum'), ('VEF', 'Bol\xedvar'), ('VND', 'Dong'), ('VUV', 'Vatu'), ('WST', 'Tala'), ('XAF', 'CFA Franc BEAC'), ('XAG', 'Silver'), ('XAU', 'Gold'), ('XBA', 'Bond Markets Unit European Composite Unit (EURCO)'), ('XBB', 'Bond Markets Unit European Monetary Unit (E.M.U.-6)'), ('XBC', 'Bond Markets Unit European Unit of Account 9 (E.U.A.-9)'), ('XBD', 'Bond Markets Unit European Unit of Account 17 (E.U.A.-17)'), ('XCD', 'East Caribbean Dollar'), ('XDR', 'SDR (Special Drawing Right)'), ('XOF', 'CFA Franc BCEAO'), ('XPD', 'Palladium'), ('XPF', 'CFP Franc'), ('XPT', 'Platinum'), ('XSU', 'Sucre'), ('XTS', 'Codes specifically reserved for testing purposes'), ('XUA', 'ADB Unit of Account'), ('XXX', 'The codes assigned for transactions where no currency is involved'), ('YER', 'Yemeni Rial'), ('ZAR', 'Rand'), ('ZMW', 'Zambian Kwacha'), ('ZWL', 'Zimbabwe Dollar')]), ), migrations.AlterField( model_name='proforma', name='invoice', field=models.ForeignKey(related_name='related_proforma', blank=True, to='silver.Invoice', null=True, on_delete=django.db.models.deletion.CASCADE), ), migrations.AlterField( model_name='provider', name='country', field=models.CharField(max_length=3, choices=[('AW', 'Aruba'), ('AF', 'Afghanistan'), ('AO', 'Angola'), ('AI', 'Anguilla'), ('AX', '\xc5land Islands'), ('AL', 'Albania'), ('AD', 'Andorra'), ('AE', 'United Arab Emirates'), ('AR', 'Argentina'), ('AM', 'Armenia'), ('AS', 'American Samoa'), ('AQ', 'Antarctica'), ('TF', 'French Southern Territories'), ('AG', 'Antigua and Barbuda'), ('AU', 'Australia'), ('AT', 'Austria'), ('AZ', 'Azerbaijan'), ('BI', 'Burundi'), ('BE', 'Belgium'), ('BJ', 'Benin'), ('BQ', 'Bonaire, Sint Eustatius and Saba'), ('BF', 'Burkina Faso'), ('BD', 'Bangladesh'), ('BG', 'Bulgaria'), ('BH', 'Bahrain'), ('BS', 'Bahamas'), ('BA', 'Bosnia and Herzegovina'), ('BL', 'Saint Barth\xe9lemy'), ('BY', 'Belarus'), ('BZ', 'Belize'), ('BM', 'Bermuda'), ('BO', 'Bolivia, Plurinational State of'), ('BR', 'Brazil'), ('BB', 'Barbados'), ('BN', 'Brunei Darussalam'), ('BT', 'Bhutan'), ('BV', 'Bouvet Island'), ('BW', 'Botswana'), ('CF', 'Central African Republic'), ('CA', 'Canada'), ('CC', 'Cocos (Keeling) Islands'), ('CH', 'Switzerland'), ('CL', 'Chile'), ('CN', 'China'), ('CI', "C\xf4te d'Ivoire"), ('CM', 'Cameroon'), ('CD', 'Congo, The Democratic Republic of the'), ('CG', 'Congo'), ('CK', 'Cook Islands'), ('CO', 'Colombia'), ('KM', 'Comoros'), ('CV', 'Cabo Verde'), ('CR', 'Costa Rica'), ('CU', 'Cuba'), ('CW', 'Cura\xe7ao'), ('CX', 'Christmas Island'), ('KY', 'Cayman Islands'), ('CY', 'Cyprus'), ('CZ', 'Czech Republic'), ('DE', 'Germany'), ('DJ', 'Djibouti'), ('DM', 'Dominica'), ('DK', 'Denmark'), ('DO', 'Dominican Republic'), ('DZ', 'Algeria'), ('EC', 'Ecuador'), ('EG', 'Egypt'), ('ER', 'Eritrea'), ('EH', 'Western Sahara'), ('ES', 'Spain'), ('EE', 'Estonia'), ('ET', 'Ethiopia'), ('FI', 'Finland'), ('FJ', 'Fiji'), ('FK', 'Falkland Islands (Malvinas)'), ('FR', 'France'), ('FO', 'Faroe Islands'), ('FM', 'Micronesia, Federated States of'), ('GA', 'Gabon'), ('GB', 'United Kingdom'), ('GE', 'Georgia'), ('GG', 'Guernsey'), ('GH', 'Ghana'), ('GI', 'Gibraltar'), ('GN', 'Guinea'), ('GP', 'Guadeloupe'), ('GM', 'Gambia'), ('GW', 'Guinea-Bissau'), ('GQ', 'Equatorial Guinea'), ('GR', 'Greece'), ('GD', 'Grenada'), ('GL', 'Greenland'), ('GT', 'Guatemala'), ('GF', 'French Guiana'), ('GU', 'Guam'), ('GY', 'Guyana'), ('HK', 'Hong Kong'), ('HM', 'Heard Island and McDonald Islands'), ('HN', 'Honduras'), ('HR', 'Croatia'), ('HT', 'Haiti'), ('HU', 'Hungary'), ('ID', 'Indonesia'), ('IM', 'Isle of Man'), ('IN', 'India'), ('IO', 'British Indian Ocean Territory'), ('IE', 'Ireland'), ('IR', 'Iran, Islamic Republic of'), ('IQ', 'Iraq'), ('IS', 'Iceland'), ('IL', 'Israel'), ('IT', 'Italy'), ('JM', 'Jamaica'), ('JE', 'Jersey'), ('JO', 'Jordan'), ('JP', 'Japan'), ('KZ', 'Kazakhstan'), ('KE', 'Kenya'), ('KG', 'Kyrgyzstan'), ('KH', 'Cambodia'), ('KI', 'Kiribati'), ('KN', 'Saint Kitts and Nevis'), ('KR', 'Korea, Republic of'), ('KW', 'Kuwait'), ('LA', "Lao People's Democratic Republic"), ('LB', 'Lebanon'), ('LR', 'Liberia'), ('LY', 'Libya'), ('LC', 'Saint Lucia'), ('LI', 'Liechtenstein'), ('LK', 'Sri Lanka'), ('LS', 'Lesotho'), ('LT', 'Lithuania'), ('LU', 'Luxembourg'), ('LV', 'Latvia'), ('MO', 'Macao'), ('MF', 'Saint Martin (French part)'), ('MA', 'Morocco'), ('MC', 'Monaco'), ('MD', 'Moldova, Republic of'), ('MG', 'Madagascar'), ('MV', 'Maldives'), ('MX', 'Mexico'), ('MH', 'Marshall Islands'), ('MK', 'Macedonia, Republic of'), ('ML', 'Mali'), ('MT', 'Malta'), ('MM', 'Myanmar'), ('ME', 'Montenegro'), ('MN', 'Mongolia'), ('MP', 'Northern Mariana Islands'), ('MZ', 'Mozambique'), ('MR', 'Mauritania'), ('MS', 'Montserrat'), ('MQ', 'Martinique'), ('MU', 'Mauritius'), ('MW', 'Malawi'), ('MY', 'Malaysia'), ('YT', 'Mayotte'), ('NA', 'Namibia'), ('NC', 'New Caledonia'), ('NE', 'Niger'), ('NF', 'Norfolk Island'), ('NG', 'Nigeria'), ('NI', 'Nicaragua'), ('NU', 'Niue'), ('NL', 'Netherlands'), ('NO', 'Norway'), ('NP', 'Nepal'), ('NR', 'Nauru'), ('NZ', 'New Zealand'), ('OM', 'Oman'), ('PK', 'Pakistan'), ('PA', 'Panama'), ('PN', 'Pitcairn'), ('PE', 'Peru'), ('PH', 'Philippines'), ('PW', 'Palau'), ('PG', 'Papua New Guinea'), ('PL', 'Poland'), ('PR', 'Puerto Rico'), ('KP', "Korea, Democratic People's Republic of"), ('PT', 'Portugal'), ('PY', 'Paraguay'), ('PS', 'Palestine, State of'), ('PF', 'French Polynesia'), ('QA', 'Qatar'), ('RE', 'R\xe9union'), ('RO', 'Romania'), ('RU', 'Russian Federation'), ('RW', 'Rwanda'), ('SA', 'Saudi Arabia'), ('SD', 'Sudan'), ('SN', 'Senegal'), ('SG', 'Singapore'), ('GS', 'South Georgia and the South Sandwich Islands'), ('SH', 'Saint Helena, Ascension and Tristan da Cunha'), ('SJ', 'Svalbard and Jan Mayen'), ('SB', 'Solomon Islands'), ('SL', 'Sierra Leone'), ('SV', 'El Salvador'), ('SM', 'San Marino'), ('SO', 'Somalia'), ('PM', 'Saint Pierre and Miquelon'), ('RS', 'Serbia'), ('SS', 'South Sudan'), ('ST', 'Sao Tome and Principe'), ('SR', 'Suriname'), ('SK', 'Slovakia'), ('SI', 'Slovenia'), ('SE', 'Sweden'), ('SZ', 'Swaziland'), ('SX', 'Sint Maarten (Dutch part)'), ('SC', 'Seychelles'), ('SY', 'Syrian Arab Republic'), ('TC', 'Turks and Caicos Islands'), ('TD', 'Chad'), ('TG', 'Togo'), ('TH', 'Thailand'), ('TJ', 'Tajikistan'), ('TK', 'Tokelau'), ('TM', 'Turkmenistan'), ('TL', 'Timor-Leste'), ('TO', 'Tonga'), ('TT', 'Trinidad and Tobago'), ('TN', 'Tunisia'), ('TR', 'Turkey'), ('TV', 'Tuvalu'), ('TW', 'Taiwan, Province of China'), ('TZ', 'Tanzania, United Republic of'), ('UG', 'Uganda'), ('UA', 'Ukraine'), ('UM', 'United States Minor Outlying Islands'), ('UY', 'Uruguay'), ('US', 'United States'), ('UZ', 'Uzbekistan'), ('VA', 'Holy See (Vatican City State)'), ('VC', 'Saint Vincent and the Grenadines'), ('VE', 'Venezuela, Bolivarian Republic of'), ('VG', 'Virgin Islands, British'), ('VI', 'Virgin Islands, U.S.'), ('VN', 'Viet Nam'), ('VU', 'Vanuatu'), ('WF', 'Wallis and Futuna'), ('WS', 'Samoa'), ('YE', 'Yemen'), ('ZA', 'South Africa'), ('ZM', 'Zambia'), ('ZW', 'Zimbabwe')]), ), migrations.AlterField( model_name='provider', name='email', field=models.CharField(max_length=254, null=True, blank=True), ), migrations.AlterField( model_name='provider', name='flow', field=models.CharField(default=b'proforma', help_text=b'One of the available workflows for generating proformas and invoices (see the documentation for more details).', max_length=10, choices=[(b'proforma', 'Proforma'), (b'invoice', 'Invoice')]), ), migrations.AlterField( model_name='provider', name='invoice_series', field=models.CharField(help_text=b'The series that will be used on every invoice generated by this provider.', max_length=20), ), migrations.AlterField( model_name='provider', name='meta', field=jsonfield.fields.JSONField(default={}, null=True, blank=True), ), migrations.AlterField( model_name='provider', name='proforma_series', field=models.CharField(help_text=b'The series that will be used on every proforma generated by this provider.', max_length=20, null=True, blank=True), ), migrations.AlterField( model_name='subscription', name='reference', field=models.CharField(blank=True, max_length=128, null=True, help_text=b"The subscription's reference in an external system.", validators=[django.core.validators.RegexValidator(regex=b'^[^,]*$', message='Reference must not contain commas.')]), ), migrations.AlterIndexTogether( name='customer', index_together=set([('first_name', 'last_name', 'company')]), ), migrations.AddField( model_name='transaction', name='invoice', field=models.ForeignKey(blank=True, to='silver.Invoice', null=True, on_delete=django.db.models.deletion.CASCADE), ), migrations.AddField( model_name='transaction', name='payment_method', field=models.ForeignKey(to='silver.PaymentMethod', on_delete=django.db.models.deletion.CASCADE), ), migrations.AddField( model_name='transaction', name='proforma', field=models.ForeignKey(blank=True, to='silver.Proforma', null=True, on_delete=django.db.models.deletion.CASCADE), ), migrations.AddField( model_name='paymentmethod', name='customer', field=models.ForeignKey(to='silver.Customer', on_delete=django.db.models.deletion.CASCADE), ), migrations.RemoveField( model_name='customer', name='name', ), ]

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8a849ab3af31d370b4f99f8846b63ac2a4d7b30e

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py

Python

qa/practicing.py

ChristopherOloo/KilimoQAPortal

c905a42282bbce70b5477862185ad332185307ce

[ "MIT" ]

null

qa/practicing.py

ChristopherOloo/KilimoQAPortal

c905a42282bbce70b5477862185ad332185307ce

[ "MIT" ]

null

qa/practicing.py

ChristopherOloo/KilimoQAPortal

c905a42282bbce70b5477862185ad332185307ce

[ "MIT" ]

null

getCreateClose_object = CloseQuestionVotes.objects.filter(question_to_closing=data).exclude(ended=True).first() if request.method == 'POST': close_form = CloseForm_Q(data=request.POST) if close_form.is_valid(): new_post = close_form.save(commit=False) formData = close_form.cleaned_data['why_closing'] formData_duplicate_of = close_form.cleaned_data['duplicate_of'] if formData != "DUPLICATE": if getCreateClose_object: if formData == getCreateClose_object.why_closing: # print("Same as Before") print("First Statement is Excecuting") new_post.user = request.user new_post.question_to_closing = data # createInstance,created = ReviewCloseVotes.objects.get_or_create(question_to_closed=data) # createInstance.reviewed_by.add(request.user) # print("Instance Created") new_post.save() # SAVE THE INSTANCE FIRST # https://stackoverflow.com/questions/33838433/save-prohibited-to-prevent-data-loss-due-to-unsaved-related-object # createInstance.review_of = new_post # createInstance.save() getCreateClose_object.how_many_votes_on_Close += 1 getCreateClose_object.save() # Maybe i can remove these two lines createInstance.review_of = new_post createInstance.save() else: # print("Save the New Request") print("Second Statement is Excecuting") new_post.user = request.user new_post.question_to_closing = data createInstance,created = ReviewCloseVotes.objects.get_or_create(question_to_closed=data) # createInstance.reviewed_by.add(request.user) # createInstance.reviewed_by.add(request.user) # createInstance.save() getCreateClose_object.how_many_votes_on_Close += 1 getCreateClose_object.save() # print("Instance Created") new_post.save() # SAVE THE INSTANCE FIRST # https://stackoverflow.com/questions/33838433/save-prohibited-to-prevent-data-loss-due-to-unsaved-related-object # createInstance.review_of = new_post # createInstance.save() # Maybe i can remove these two lines createInstance.review_of = new_post createInstance.save() else: new_post.user = request.user new_post.question_to_closing = data createInstance,created = ReviewCloseVotes.objects.get_or_create(question_to_closed=data) createInstance.reviewed_by.add(request.user) # createInstance.reviewed_by.add(request.user) # createInstance.save() new_post.how_many_votes_on_Close += 1 print("Third Statement is Excecuting") new_post.save() # SAVE THE INSTANCE FIRST # https://stackoverflow.com/questions/33838433/save-prohibited-to-prevent-data-loss-due-to-unsaved-related-object # createInstance.review_of = new_post # createInstance.save() createInstance.review_of = new_post createInstance.save() elif formData == "DUPLICATE" and formData_duplicate_of == None: messages.error(request, "Please Write the Another Question's URL") print("Please Write the Another Question's URL") else: if getCreateClose_object: if formData == getCreateClose_object.why_closing: print("Fourth Statement is Excecuting") new_post.user = request.user new_post.question_to_closing = data createInstance,created = ReviewCloseVotes.objects.get_or_create(question_to_closed=data) createInstance.reviewed_by.add(request.user) # print("Instance Created") new_post.save() # SAVE THE INSTANCE FIRST # https://stackoverflow.com/questions/33838433/save-prohibited-to-prevent-data-loss-due-to-unsaved-related-object getCreateClose_object.how_many_votes_on_Close += 1 getCreateClose_object.save() createInstance.review_of = new_post createInstance.save() else: print("Fifth Statement is Excecuting") new_post.user = request.user new_post.question_to_closing = data createInstance,created = ReviewCloseVotes.objects.get_or_create(question_to_closed=data) createInstance.reviewed_by.add(request.user) # createInstance.reviewed_by.add(request.user) # createInstance.save() getCreateClose_object.how_many_votes_on_Close += 1 getCreateClose_object.save() # print("Instance Created") createInstance.review_of = new_post new_post.save() # SAVE THE INSTANCE FIRST # https://stackoverflow.com/questions/33838433/save-prohibited-to-prevent-data-loss-due-to-unsaved-related-object createInstance.review_of = new_post createInstance.save() else: print("Sixth Statement is Excecuting") new_post.user = request.user new_post.question_to_closing = data createInstance,created = ReviewCloseVotes.objects.get_or_create(question_to_closed=data) createInstance.reviewed_by.add(request.user) # createInstance.reviewed_by.add(request.user) # createInstance.save() new_post.how_many_votes_on_Close += 1 # print("Instance Created") new_post.save() # SAVE THE INSTANCE FIRST # https://stackoverflow.com/questions/33838433/save-prohibited-to-prevent-data-loss-due-to-unsaved-related-object createInstance.review_of = new_post createInstance.save() return redirect('qa:questionDetailView', pk=data.id,) # slug=slug) else: close_form = CloseForm_Q()

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0.150307

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8

8ab99fbf84be04753d997e30a676ac4ed303f62e

20,632

py

Python

tests/test_defaultnetworkxfactory.py

ndexbio/nice-cx-python

f8cf207e439b3afcf77c45ea80792968a2258bfb

[ "BSD-3-Clause" ]

5

2017-12-01T20:19:46.000Z

2022-03-06T19:22:36.000Z

tests/test_defaultnetworkxfactory.py

ndexbio/nice-cx-python

f8cf207e439b3afcf77c45ea80792968a2258bfb

[ "BSD-3-Clause" ]

77

2017-11-20T17:53:38.000Z

2022-01-26T23:43:34.000Z

tests/test_defaultnetworkxfactory.py

ndexbio/nice-cx-python

f8cf207e439b3afcf77c45ea80792968a2258bfb

[ "BSD-3-Clause" ]

5

2017-11-20T17:03:34.000Z

2021-04-26T20:40:20.000Z

# -*- coding: utf-8 -*- """Tests for `DefaultNetworkXFactory` class.""" import os import unittest import networkx import ndex2 from ndex2.exceptions import NDExError from ndex2.nice_cx_network import DefaultNetworkXFactory from ndex2.nice_cx_network import NetworkXFactory from ndex2.nice_cx_network import NiceCXNetwork SKIP_REASON = 'NDEX2_TEST_USER environment variable detected, ' \ 'skipping for integration tests' NETWORKX_MAJOR_VERSION = 0 netx_ver_str = str(networkx.__version__) period_pos = netx_ver_str.index('.') if period_pos != -1: try: NETWORKX_MAJOR_VERSION = int(netx_ver_str[0:period_pos]) except ValueError: pass @unittest.skipIf(os.getenv('NDEX2_TEST_SERVER') is not None, SKIP_REASON) class TestDefaultNetworkXFactory(unittest.TestCase): TEST_DIR = os.path.dirname(__file__) WNT_SIGNAL_FILE = os.path.join(TEST_DIR, 'data', 'wntsignaling.cx') DARKTHEME_FILE = os.path.join(TEST_DIR, 'data', 'darkthemefinal.cx') DARKTHEMENODE_FILE = os.path.join(TEST_DIR, 'data', 'darkthemefinalwithnodevis.cx') GLYPICAN_FILE = os.path.join(TEST_DIR, 'data', 'glypican2.cx') def setUp(self): """Set up test fixtures, if any.""" pass def tearDown(self): """Tear down test fixtures, if any.""" pass def test_get_networkx_major_version(self): # try with no arg res = NetworkXFactory.get_networkx_major_version() self.assertTrue(res > 0) # try passing none res = NetworkXFactory.get_networkx_major_version(networkx_version=None) self.assertEqual(0, res) # try passing empty string res = NetworkXFactory.get_networkx_major_version(networkx_version='') self.assertEqual(0, res) # try passing string with no period res = NetworkXFactory.get_networkx_major_version(networkx_version='12') self.assertEqual(0, res) # try passing with only period res = NetworkXFactory.get_networkx_major_version(networkx_version='.') self.assertEqual(0, res) # try passing with non numeric value res = NetworkXFactory.get_networkx_major_version(networkx_version='fo') self.assertEqual(0, res) # try passing 1.11 res = NetworkXFactory.get_networkx_major_version(networkx_version='1.11') self.assertEqual(1, res) # try passing 12.4.1b1 res = NetworkXFactory.get_networkx_major_version(networkx_version='12.4.1b1') self.assertEqual(12, res) def test_none_passed_into_get_graph(self): fac = DefaultNetworkXFactory() try: fac.get_graph(None) self.fail('Expected NDExError') except NDExError as ne: self.assertEqual('input network is None', str(ne)) def test_empty_network_passed_in_with_various_legacy_modes(self): net = NiceCXNetwork() fac = DefaultNetworkXFactory() g = fac.get_graph(net) self.assertTrue(isinstance(g, networkx.MultiGraph)) self.assertEqual(0, len(g)) self.assertEqual(0, g.number_of_edges()) fac = DefaultNetworkXFactory(legacymode=True) g = fac.get_graph(net) self.assertTrue(isinstance(g, networkx.Graph)) self.assertEqual(0, len(g)) self.assertEqual(0, g.number_of_edges()) fac = DefaultNetworkXFactory(legacymode=False) g = fac.get_graph(net) self.assertTrue(isinstance(g, networkx.MultiGraph)) self.assertEqual(0, len(g)) self.assertEqual(0, g.number_of_edges()) fac = DefaultNetworkXFactory(legacymode=None) g = fac.get_graph(net) self.assertTrue(isinstance(g, networkx.MultiGraph)) self.assertEqual(0, len(g)) self.assertEqual(0, g.number_of_edges()) try: DefaultNetworkXFactory(legacymode='blah') self.fail('Expected NDExError') except NDExError as ne: self.assertEqual('blah not a valid value for ' 'legacymode parameter', str(ne)) def test_one_node_no_edge_network(self): net = NiceCXNetwork() net.create_node('first') net.set_name('bob') fac = DefaultNetworkXFactory() g = fac.get_graph(net) self.assertEqual('bob', g.graph['name']) self.assertEqual(1, len(g)) self.assertEqual(0, g.number_of_edges()) self.assertTrue(0 in g) nodelist = g.nodes(data=True) if NETWORKX_MAJOR_VERSION >= 2: self.assertEqual('first', nodelist[0]['name']) else: self.assertEqual('first', nodelist[0][1]['name']) # TODO Fix Issue #51 # network name is not properly set. # see https://github.com/ndexbio/ndex2-client/issues/51 # net_two = ndex2.create_nice_cx_from_networkx(g) # self.assertEqual('bob', net_two.get_name()) def test_one_node_no_edge_network_legacytrue(self): net = NiceCXNetwork() net.create_node('first') net.set_name('bob') fac = DefaultNetworkXFactory(legacymode=True) g = fac.get_graph(net) self.assertEqual('bob', g.graph['name']) self.assertEqual(1, len(g)) self.assertEqual(0, g.number_of_edges()) self.assertTrue(0 in g) if NETWORKX_MAJOR_VERSION >= 2: nodelist = list(g.nodes(data=True)) else: nodelist = g.nodes(data=True) self.assertEqual('first', nodelist[0][1]['name']) def test_two_node_one_edge_network(self): net = NiceCXNetwork() net.create_node('first') net.create_node('second') net.create_edge(edge_source=0, edge_target=1) net.set_name('bob') fac = DefaultNetworkXFactory() g = fac.get_graph(net) self.assertEqual('bob', g.graph['name']) self.assertEqual(2, len(g)) self.assertEqual(1, g.number_of_edges()) self.assertTrue(0 in g) if NETWORKX_MAJOR_VERSION >= 2: nodelist = list(g.nodes(data=True)) edgelist = list(g.edges(data=True)) else: nodelist = g.nodes(data=True) edgelist = g.edges(data=True) self.assertEqual('first', nodelist[0][1]['name']) self.assertEqual('second', nodelist[1][1]['name']) self.assertEqual(0, edgelist[0][0]) self.assertEqual(1, edgelist[0][1]) self.assertEqual(None, edgelist[0][2]['interaction']) def test_glypican_network_legacyfalse_and_multigraph_passed_in(self): net = ndex2.create_nice_cx_from_file(TestDefaultNetworkXFactory .GLYPICAN_FILE) fac = DefaultNetworkXFactory() g = fac.get_graph(net, networkx_graph=networkx.MultiGraph()) self.assertEqual('Glypican 2 network', g.graph['name']) self.assertEqual('', g.graph['reference']) self.assertEqual('Mirko von Elstermann', g.graph['author']) self.assertEqual('Jorge Filmus', g.graph['reviewers']) self.assertEqual('glypican_2pathway', g.graph['labels']) self.assertEqual('APR-2018', g.graph['version']) self.assertEqual('human', g.graph['organism']) self.assertEqual('<i>Glypican 2 network</i> was derived from ' 'the latest BioPAX3 version of the Pathway ' 'Interaction Database (PID) curated by NCI/Nature. ' 'The BioPAX was first converted to Extended Binary ' 'SIF (EBS) by the PAXTools v5 utility. It was then ' 'processed to remove redundant edges, to add a ' '\'directed flow\' layout, and to add a graphic ' 'style using Cytoscape Visual Properties. This ' 'network can be found in searches using its original ' 'PID accession id, present in the \'labels\' ' 'property.', g.graph['description']) self.assertEqual(2, len(g)) self.assertEqual(1, g.number_of_edges()) self.assertTrue(0 in g) self.assertTrue(1 in g) if NETWORKX_MAJOR_VERSION >= 2: nodelist = list(g.nodes(data=True)) edgelist = list(g.edges(data=True)) else: nodelist = g.nodes(data=True) edgelist = g.edges(data=True) self.assertEqual('MDK', nodelist[0][1]['name']) self.assertEqual('Protein', nodelist[0][1]['type']) aliaslist = nodelist[0][1]['alias'] self.assertEqual(2, len(aliaslist)) self.assertTrue('uniprot knowledgebase:Q2LEK4' in aliaslist) self.assertTrue('uniprot knowledgebase:Q9UCC7' in aliaslist) self.assertEqual('GPC2', nodelist[1][1]['name']) self.assertEqual('Protein', nodelist[1][1]['type']) aliaslist = nodelist[1][1]['alias'] self.assertEqual(1, len(aliaslist)) self.assertTrue('uniprot knowledgebase:Q8N158' in aliaslist) self.assertEqual(0, edgelist[0][0]) self.assertEqual(1, edgelist[0][1]) self.assertEqual('in-complex-with', edgelist[0][2]['interaction']) self.assertEqual('false', edgelist[0][2]['directed']) # check coordinates self.assertTrue((g.pos[0][0] + 398.3) < 1.0) self.assertTrue((g.pos[0][1] - 70.71) < 1.0) self.assertTrue((g.pos[1][0] + 353.49) < 1.0) self.assertTrue((g.pos[1][1] - 70.71) < 1.0) def test_glypican_network_legacyfalse(self): net = ndex2.create_nice_cx_from_file(TestDefaultNetworkXFactory .GLYPICAN_FILE) fac = DefaultNetworkXFactory() g = fac.get_graph(net) self.assertEqual('Glypican 2 network', g.graph['name']) self.assertEqual('', g.graph['reference']) self.assertEqual('Mirko von Elstermann', g.graph['author']) self.assertEqual('Jorge Filmus', g.graph['reviewers']) self.assertEqual('glypican_2pathway', g.graph['labels']) self.assertEqual('APR-2018', g.graph['version']) self.assertEqual('human', g.graph['organism']) self.assertEqual('<i>Glypican 2 network</i> was derived from ' 'the latest BioPAX3 version of the Pathway ' 'Interaction Database (PID) curated by NCI/Nature. ' 'The BioPAX was first converted to Extended Binary ' 'SIF (EBS) by the PAXTools v5 utility. It was then ' 'processed to remove redundant edges, to add a ' '\'directed flow\' layout, and to add a graphic ' 'style using Cytoscape Visual Properties. This ' 'network can be found in searches using its original ' 'PID accession id, present in the \'labels\' ' 'property.', g.graph['description']) self.assertEqual(2, len(g)) self.assertEqual(1, g.number_of_edges()) self.assertTrue(0 in g) self.assertTrue(1 in g) if NETWORKX_MAJOR_VERSION >= 2: nodelist = list(g.nodes(data=True)) edgelist = list(g.edges(data=True)) else: nodelist = g.nodes(data=True) edgelist = g.edges(data=True) self.assertEqual('MDK', nodelist[0][1]['name']) self.assertEqual('Protein', nodelist[0][1]['type']) aliaslist = nodelist[0][1]['alias'] self.assertEqual(2, len(aliaslist)) self.assertTrue('uniprot knowledgebase:Q2LEK4' in aliaslist) self.assertTrue('uniprot knowledgebase:Q9UCC7' in aliaslist) self.assertEqual('GPC2', nodelist[1][1]['name']) self.assertEqual('Protein', nodelist[1][1]['type']) aliaslist = nodelist[1][1]['alias'] self.assertEqual(1, len(aliaslist)) self.assertTrue('uniprot knowledgebase:Q8N158' in aliaslist) self.assertEqual(1, edgelist[0][0]) self.assertEqual(0, edgelist[0][1]) self.assertEqual('in-complex-with', edgelist[0][2]['interaction']) self.assertEqual('false', edgelist[0][2]['directed']) # check coordinates self.assertTrue((g.pos[0][0] + 398.3) < 1.0) self.assertTrue((g.pos[0][1] - 70.71) < 1.0) self.assertTrue((g.pos[1][0] + 353.49) < 1.0) self.assertTrue((g.pos[1][1] - 70.71) < 1.0) def test_glypican_network_legacymode_true(self): net = ndex2.create_nice_cx_from_file(TestDefaultNetworkXFactory .GLYPICAN_FILE) fac = DefaultNetworkXFactory(legacymode=True) g = fac.get_graph(net) self.assertTrue(isinstance(g, networkx.Graph)) self.assertEqual('Glypican 2 network', g.graph['name']) self.assertEqual('', g.graph['reference']) self.assertEqual('Mirko von Elstermann', g.graph['author']) self.assertEqual('Jorge Filmus', g.graph['reviewers']) self.assertEqual('glypican_2pathway', g.graph['labels']) self.assertEqual('APR-2018', g.graph['version']) self.assertEqual('human', g.graph['organism']) self.assertEqual('<i>Glypican 2 network</i> was derived from ' 'the latest BioPAX3 version of the Pathway ' 'Interaction Database (PID) curated by NCI/Nature. ' 'The BioPAX was first converted to Extended Binary ' 'SIF (EBS) by the PAXTools v5 utility. It was then ' 'processed to remove redundant edges, to add a ' '\'directed flow\' layout, and to add a graphic ' 'style using Cytoscape Visual Properties. This ' 'network can be found in searches using its original ' 'PID accession id, present in the \'labels\' ' 'property.', g.graph['description']) self.assertEqual(2, len(g)) self.assertEqual(1, g.number_of_edges()) self.assertTrue(0 in g) self.assertTrue(1 in g) if NETWORKX_MAJOR_VERSION >= 2: nodelist = list(g.nodes(data=True)) edgelist = list(g.edges(data=True)) else: nodelist = g.nodes(data=True) edgelist = g.edges(data=True) self.assertEqual('MDK', nodelist[0][1]['name']) self.assertEqual('Protein', nodelist[0][1]['type']) aliaslist = nodelist[0][1]['alias'] self.assertEqual(2, len(aliaslist)) self.assertTrue('uniprot knowledgebase:Q2LEK4' in aliaslist) self.assertTrue('uniprot knowledgebase:Q9UCC7' in aliaslist) self.assertEqual('GPC2', nodelist[1][1]['name']) self.assertEqual('Protein', nodelist[1][1]['type']) aliaslist = nodelist[1][1]['alias'] self.assertEqual(1, len(aliaslist)) self.assertTrue('uniprot knowledgebase:Q8N158' in aliaslist) self.assertEqual(0, edgelist[0][0]) self.assertEqual(1, edgelist[0][1]) self.assertEqual('in-complex-with', edgelist[0][2]['interaction']) self.assertEqual('false', edgelist[0][2]['directed']) # check coordinates self.assertTrue((g.pos[0][0] + 398.3) < 1.0) self.assertTrue((g.pos[0][1] - 70.71) < 1.0) self.assertTrue((g.pos[1][0] + 353.49) < 1.0) self.assertTrue((g.pos[1][1] - 70.71) < 1.0) def test_darktheme_network_legacyfalse(self): net = ndex2.create_nice_cx_from_file(TestDefaultNetworkXFactory .DARKTHEME_FILE) fac = DefaultNetworkXFactory() g = fac.get_graph(net) self.assertEqual('Dark theme final version', g.graph['name']) self.assertTrue('Perfetto L.,' in g.graph['reference']) self.assertEqual('Theodora Pavlidou', g.graph['author']) self.assertEqual('SIGNOR-EGF', g.graph['labels']) self.assertEqual('18-Jan-2019', g.graph['version']) self.assertEqual('Human, 9606, Homo sapiens', g.graph['organism']) self.assertEqual('SIGNOR-EGF', g.graph['labels']) self.assertTrue('epidermal growth factor' in g.graph['description']) self.assertEqual(34, len(g)) self.assertEqual(116, g.number_of_edges()) self.assertTrue(1655 in g) self.assertTrue(1622 in g) if NETWORKX_MAJOR_VERSION >= 2: nodelist = list(g.nodes(data=True)) edgelist = list(g.edges(data=True)) else: nodelist = g.nodes(data=True) edgelist = g.edges(data=True) stat_three_index = -1 for i in range(0, len(nodelist)): if nodelist[i][1]['name'] == 'STAT3': stat_three_index = i break self.assertEqual('STAT3', nodelist[stat_three_index][1]['name']) self.assertEqual('protein', nodelist[stat_three_index][1]['type']) self.assertEqual('uniprot:P40763', nodelist[stat_three_index][1]['represents']) sixteenfiftyfiveedge = -1 for i in range(len(edgelist)): if edgelist[i][0] == 1655 and edgelist[i][1] == 1654: sixteenfiftyfiveedge = i break self.assertTrue((1655 == edgelist[sixteenfiftyfiveedge][0] and 1654 == edgelist[sixteenfiftyfiveedge][1]) or (1654 == edgelist[sixteenfiftyfiveedge][0] and 1655 == edgelist[sixteenfiftyfiveedge][1])) self.assertEqual('form complex', edgelist[sixteenfiftyfiveedge][2]['interaction']) self.assertEqual('true', edgelist[sixteenfiftyfiveedge][2]['directed']) self.assertEqual('"pubmed:15284024"', edgelist[sixteenfiftyfiveedge][2]['citation']) # check coordinates self.assertTrue((g.pos[1655][0] + 90.96) < 1.0) self.assertTrue((g.pos[1655][1] - 145.72) < 1.0) def test_darktheme_network_legacytrue(self): net = ndex2\ .create_nice_cx_from_file(TestDefaultNetworkXFactory .DARKTHEME_FILE) fac = DefaultNetworkXFactory(legacymode=True) g = fac.get_graph(net) self.assertEqual('Dark theme final version', g.graph['name']) self.assertTrue('Perfetto L.,' in g.graph['reference']) self.assertEqual('Theodora Pavlidou', g.graph['author']) self.assertEqual('SIGNOR-EGF', g.graph['labels']) self.assertEqual('18-Jan-2019', g.graph['version']) self.assertEqual('Human, 9606, Homo sapiens', g.graph['organism']) self.assertEqual('SIGNOR-EGF', g.graph['labels']) self.assertTrue('epidermal growth factor' in g.graph['description']) self.assertEqual(34, len(g)) self.assertEqual(50, g.number_of_edges()) self.assertTrue(1655 in g) self.assertTrue(1622 in g) if NETWORKX_MAJOR_VERSION >= 2: nodelist = list(g.nodes(data=True)) edgelist = list(g.edges(data=True)) else: nodelist = g.nodes(data=True) edgelist = g.edges(data=True) stat_three_index = -1 for i in range(0, len(nodelist)): if nodelist[i][1]['name'] == 'STAT3': stat_three_index = i break self.assertEqual('STAT3', nodelist[stat_three_index][1]['name']) self.assertEqual('protein', nodelist[stat_three_index][1]['type']) self.assertTrue('represents' not in nodelist[stat_three_index][1]) sixteenfiftyfiveedge = -1 for i in range(len(edgelist)): if edgelist[i][0] == 1655 and edgelist[i][1] == 1654: sixteenfiftyfiveedge = i break self.assertTrue((1655 == edgelist[sixteenfiftyfiveedge][0] and 1654 == edgelist[sixteenfiftyfiveedge][1]) or (1654 == edgelist[sixteenfiftyfiveedge][0] and 1655 == edgelist[sixteenfiftyfiveedge][1])) self.assertEqual('form complex', edgelist[sixteenfiftyfiveedge][2]['interaction']) self.assertEqual('true', edgelist[sixteenfiftyfiveedge][2]['directed']) self.assertEqual('"pubmed:15284024"', edgelist[sixteenfiftyfiveedge][2]['citation']) # check coordinates self.assertTrue((g.pos[1655][0] + 90.96) < 1.0) self.assertTrue((g.pos[1655][1] - 145.72) < 1.0)

42.804979

85

0.598585

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20,632

5.058086

0.118262

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false

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null

0

1

0

1

0

null

0

1

0

8

8aba11c1a7d298c41a95402fb5a8a8bd41b47520

198

py

Python

sktime/classification/dictionary_based/__init__.py

Multivin12/sktime

3731c550a9ee708c5b485aeffbbc72ca0a9062bf

[ "BSD-3-Clause" ]

1

2020-06-15T04:48:14.000Z

sktime/classification/dictionary_based/__init__.py

Multivin12/sktime

3731c550a9ee708c5b485aeffbbc72ca0a9062bf

[ "BSD-3-Clause" ]

null

sktime/classification/dictionary_based/__init__.py

Multivin12/sktime

3731c550a9ee708c5b485aeffbbc72ca0a9062bf

[ "BSD-3-Clause" ]

null

__all__ = [ "BOSSIndividual", "BOSSEnsemble" ] from sktime.classification.dictionary_based._boss import BOSSEnsemble from sktime.classification.dictionary_based._boss import BOSSIndividual

24.75

71

0.813131

19

198

8.052632

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0.20915

0.287582

0.470588

0.797386

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198

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1

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null

0

1

0

9

76fc90e67c57d91adad15fac39d408639ad2305a

30,935

py

Python

Fuzzy_clustering/version3/DatasetManager/create_dataset_for_load_LV.py

joesider9/forecasting_library

db07ff8f0f2693983058d49004f2fc6f8849d197

[ "Apache-2.0" ]

null

Fuzzy_clustering/version3/DatasetManager/create_dataset_for_load_LV.py

joesider9/forecasting_library

db07ff8f0f2693983058d49004f2fc6f8849d197

[ "Apache-2.0" ]

null

Fuzzy_clustering/version3/DatasetManager/create_dataset_for_load_LV.py

joesider9/forecasting_library

db07ff8f0f2693983058d49004f2fc6f8849d197

[ "Apache-2.0" ]

null

import numpy as np import pandas as pd import joblib, os, logging from joblib import Parallel, delayed from workalendar.europe import Greece from scipy.interpolate import interp2d def rescale(arr, nrows, ncol): W, H = arr.shape new_W, new_H = (nrows, ncol) xrange = lambda x: np.linspace(0, 1, x) f = interp2d(xrange(H), xrange(W), arr, kind="linear") new_arr = f(xrange(new_H), xrange(new_W)) return new_arr def stack_2d(X, sample, compress): if compress: sample = rescale(sample, 8, 8) if len(sample.shape) == 3: if X.shape[0] == 0: X = sample elif len(X.shape) == 3: X = np.stack((X, sample)) else: X = np.vstack((X, sample[np.newaxis, :, :, :])) elif len(sample.shape) == 2: if X.shape[0] == 0: X = sample elif len(X.shape) == 2: X = np.stack((X, sample)) else: X = np.vstack((X, sample[np.newaxis, :, :])) return X def stack_3d(X, sample): if X.shape[0] == 0: X = sample elif len(sample.shape)!=len(X.shape): X = np.vstack((X, sample[np.newaxis])) else: X = np.vstack((X, sample)) return X class dataset_creator_LV(): def __init__(self, projects_group, projects, data, path_nwp, nwp_model, nwp_resolution, data_variables, njobs=1, test=False): self.projects = projects self.isfortest = test self.projects_group = projects_group self.data = data self.path_nwp = path_nwp self.create_logger() self.check_dates() self.nwp_model = nwp_model self.nwp_resolution = nwp_resolution if self.nwp_resolution == 0.05: self.compress = True else: self.compress = False self.njobs = njobs self.variables = data_variables def create_logger(self): self.logger = logging.getLogger(__name__) self.logger.setLevel(logging.INFO) handler = logging.FileHandler(os.path.join(os.path.dirname(self.path_nwp), 'log_' + self.projects_group + '.log'), 'a') handler.setLevel(logging.INFO) # create a logging format formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') handler.setFormatter(formatter) # add the handlers to the logger self.logger.addHandler(handler) def check_dates(self): start_date = pd.to_datetime(self.data.index[0].strftime('%d%m%y'), format='%d%m%y') end_date = pd.to_datetime(self.data.index[-1].strftime('%d%m%y'), format='%d%m%y') dates = pd.date_range(start_date, end_date) data_dates = pd.to_datetime(np.unique(self.data.index.strftime('%d%m%y')), format='%d%m%y') dates = [d for d in dates if d in data_dates] self.logger.info('Dates is checked. Number of time samples %s', str(len(dates))) self.dates = pd.DatetimeIndex(dates) def check_empty_nwp(self, nwp, variables): flag = True for var in variables: if nwp[var].shape[0] == 0: flag = False break return flag def stack_daily_nwps(self, t, data, lats, longs, path_nwp, nwp_model, projects, variables, compress): X = dict() fname = os.path.join(path_nwp, nwp_model + '_' + t.strftime('%d%m%y') + '.pickle') if os.path.exists(fname): nwps = joblib.load(fname) pdates = pd.date_range(t + pd.DateOffset(hours=24), t + pd.DateOffset(hours=47), freq='H').strftime( '%d%m%y%H%M') for project in projects: X[project['_id']] = pd.DataFrame() areas = project['static_data']['areas'] x = pd.DataFrame() for date in pdates: try: nwp = nwps[date] date = pd.to_datetime(date, format='%d%m%y%H%M') if self.check_empty_nwp(nwp, variables): inp = self.create_sample_nwp(date, nwp, lats[project['_id']], longs[project['_id']]) x = pd.concat([x, inp]) except: continue if x.shape[0]>0: X[project['_id']] = x cols = ['Temp' + '_'+ area for area in lats[project['_id']].keys()] X[project['_id']]['Temp_max'] = x[cols].mean(axis=1).max() X[project['_id']]['Temp_min'] = x[cols].mean(axis=1).min() print(t.strftime('%d%m%y%H%M'), ' extracted') return (X, t.strftime('%d%m%y%H%M')) def lats_longs(self): lats = dict() longs = dict() flag = False for t in self.dates: fname = os.path.join(self.path_nwp, self.nwp_model + '_' + t.strftime('%d%m%y') + '.pickle') pdates = pd.date_range(t + pd.DateOffset(hours=24), t + pd.DateOffset(hours=48), freq='H').strftime( '%d%m%y%H%M') if os.path.exists(fname): nwps = joblib.load(fname) for date in pdates: try: nwp = nwps[date] flag = True break except: continue if flag: break if len(nwp['lat'].shape) == 1: nwp['lat'] = nwp['lat'][:, np.newaxis] if len(nwp['long'].shape) == 1: nwp['long'] = nwp['long'][np.newaxis, :] for project in self.projects: areas = project['static_data']['areas'] if isinstance(areas, list): lats[project['_id']] = \ (np.where((nwp['lat'][:, 0] >= areas[0][0]) & (nwp['lat'][:, 0] <= areas[1][0])))[0] longs[project['_id']] = \ (np.where((nwp['long'][0, :] >= areas[0][1]) & (nwp['long'][0, :] <= areas[1][1])))[ 0] else: lats[project['_id']] = dict() longs[project['_id']] = dict() for area in sorted(areas.keys()): lats[project['_id']][area] = \ (np.where((nwp['lat'][:, 0] >= areas[area][0][0]) & (nwp['lat'][:, 0] <= areas[area][1][0])))[0] longs[project['_id']][area] = \ (np.where((nwp['long'][0, :] >= areas[area][0][1]) & (nwp['long'][0, :] <= areas[area][1][1])))[ 0] return lats, longs def make_dataset_lv(self): X = dict() for project in self.projects: X[project['_id']] = pd.DataFrame() if self.isfortest: file_nwp = 'weather_data_test.csv' else: file_nwp = 'weather_data.csv' if not os.path.exists(os.path.join(self.projects[0]['static_data']['path_data'], file_nwp)): lats, longs = self.lats_longs() nwp = self.stack_daily_nwps(self.dates[-1], self.data, lats, longs, self.path_nwp, self.nwp_model, self.projects, self.variables, self.compress) nwp_daily = Parallel(n_jobs=self.njobs)( delayed(self.stack_daily_nwps)(t, self.data, lats, longs, self.path_nwp, self.nwp_model, self.projects, self.variables, self.compress) for t in self.dates) for nwp in nwp_daily: for project in self.projects: if nwp[0][project['_id']].shape[0] != 0: X[project['_id']] = pd.concat([X[project['_id']], nwp[0][project['_id']]]) self.logger.info('All Inputs stacked for date %s', nwp[1]) for project in self.projects: X[project['_id']].to_csv(os.path.join(project['static_data']['path_data'], file_nwp)) else: for project in self.projects: X[project['_id']] =pd.read_csv(os.path.join(project['static_data']['path_data'], file_nwp), header=0, index_col=0, parse_dates=True, dayfirst=True) for project in self.projects: data_path = project['static_data']['path_data'] if self.isfortest: dataset_X, dataset_y, X_3d = self.create_dataset(X[project['_id']], data_path, start_index=300, test = self.isfortest) if dataset_y.isna().any().values[0]: dataset_X = dataset_X.drop(dataset_y.index[np.where(dataset_y.isna())[0]]) if len(X_3d.shape) > 1: X_3d = np.delete(X_3d, np.where(dataset_y.isna())[0], axis=0) dataset_y = dataset_y.drop(dataset_y.index[np.where(dataset_y.isna())[0]]) dataset_X.to_csv(os.path.join(project['static_data']['path_data'], 'dataset_X_test.csv')) dataset_y.to_csv(os.path.join(project['static_data']['path_data'], 'dataset_y_test.csv')) joblib.dump(X_3d, os.path.join(project['static_data']['path_data'], 'dataset_lstm_test.pickle')) self.logger.info('Datasets saved for project %s', project['_id']) else: dataset_X, dataset_y, X_3d = self.create_dataset(X[project['_id']], data_path, start_index=300, test = self.isfortest) if dataset_y.isna().any().values[0]: dataset_X = dataset_X.drop(dataset_y.index[np.where(dataset_y.isna())[0]]) if len(X_3d.shape) > 1: X_3d = np.delete(X_3d, np.where(dataset_y.isna())[0], axis=0) dataset_y = dataset_y.drop(dataset_y.index[np.where(dataset_y.isna())[0]]) dataset_X.to_csv(os.path.join(project['static_data']['path_data'], 'dataset_X.csv')) dataset_y.to_csv(os.path.join(project['static_data']['path_data'], 'dataset_y.csv')) joblib.dump(X_3d, os.path.join(project['static_data']['path_data'], 'dataset_lstm.pickle')) self.logger.info('Datasets saved for project %s', project['_id']) def sp_index(self, r): ### Is modified cal = Greece() # {'New year','Epiphany','Clean Monday','Independence Day','Good Friday','Easter Saturday','Easter Sunday','Easter Monday','Labour Day','Pentecost','Whit Monday','Assumption of Mary to Heaven','Ohi Day','Christmas Eve' # ,'Christmas Day','Glorifying Mother of God','Last day of year'} if cal.is_holiday(r): sp = 100 else: if r.dayofweek == 6: sp = 50 else: sp = 0 return sp def create_dataset(self, nwps, data_path, start_index=9001, test=False): self.data['dayweek'] = self.data.index.dayofweek self.data['month'] = self.data.index.month self.data['hour'] = self.data.index.hour self.data['sp_index'] = [self.sp_index(d) for d in self.data.index] col = ['Temp', 'hour', 'month', 'sp_index', 'dayweek'] + nwps.drop(columns=['Temp_max']).columns.tolist() + [ 'Temp_month', 'Temp_sp_days'] col += ['SCADA_' + str(i) for i in range(14)] col += ['RESForecast_' + str(i) for i in range(14)] col += ['TOTAL_' + str(i) for i in range(14)] col += ['LoadForecast_' + str(i) for i in range(17)] col += ['LoadForecast_' + str(i) for i in range(17, 25)] col += ['Temp_max_' + str(i) for i in range(8)] col += ['Temp_min_' + str(i) for i in range(8)] col += ['sp_index_' + str(i) for i in range(8)] dataset = pd.DataFrame(columns=col) target = pd.DataFrame(columns=['target']) dataset_3d = np.array([]) nwps_lstm = nwps.copy(deep=True) for var in self.variables: if var=='WS': var='wind' elif var=='WD': var='direction' elif var=='Temperature': var='Temp' cols = [col for col in nwps.columns if str.lower(var) in str.lower(col)] nwps_lstm[str.lower(var)] = nwps_lstm[cols].mean(axis=1).values lags1 = np.hstack( [np.arange(48, 57), np.arange(72, 76), np.arange(190, 181), 216]) lags_curr = np.arange(16, 33) lags_pred = np.arange(1, 9) lags_days = np.arange(0, 8) for date in self.data.index[start_index:]: date_inp1 = [date - pd.DateOffset(hours=int(l)) for l in lags1] date_curr = [date - pd.DateOffset(hours=int(l)) for l in lags_curr] date_pred = [date + pd.DateOffset(hours=int(l)) for l in lags_pred] date_days = [date - pd.DateOffset(days=int(l)) for l in lags_days] try: temp_max = nwps[['Temp_max']].loc[date].values var_imp = np.hstack((temp_max, self.data[['hour', 'month', 'sp_index', 'dayweek']].loc[date].values, nwps.drop(columns=['Temp_max']).loc[date].values, np.power(self.data['month'].loc[date]*temp_max/12, 3), np.power(self.data['sp_index'].loc[date]*temp_max/100, 3))) col = ['Temp','hour', 'month', 'sp_index', 'dayweek'] + nwps.drop(columns=['Temp_max']).columns.tolist() + ['Temp_month', 'Temp_sp_days'] var_unimp = np.hstack(( self.data.loc[date_inp1, 'SCADA'].values, self.data.loc[date_inp1,'APE_net'].values, self.data.loc[date_inp1, 'SCADA'].values + self.data.loc[date_inp1, 'APE_net'].values, self.data.loc[date_curr, 'LoadForecast'].values + self.data.loc[date_curr, 'RESForecast'].values, self.data.loc[date_pred, 'LoadForecast'].values + self.data.loc[date_pred, 'RESForecast'].values, nwps.loc[date_days, 'Temp_max'].values, nwps.loc[date_days, 'Temp_min'].values, [self.sp_index(d) for d in date_days] )) col +=['SCADA_'+str(i) for i in range(14)] col +=['RESForecast_'+str(i) for i in range(14)] col +=['TOTAL_'+str(i) for i in range(14)] col += ['LoadForecast_' + str(i) for i in range(17)] col += ['LoadForecast_' + str(i) for i in range(17, 25)] col +=['Temp_max_'+str(i) for i in range(8)] col +=['Temp_min_'+str(i) for i in range(8)] col +=['sp_index_'+str(i) for i in range(8)] temp_max = nwps[['Temp_max']].loc[date].values var_3d = np.hstack((self.data.loc[date, 'RESForecast']+self.data.loc[date, 'LoadForecast'], nwps_lstm[['cloud', 'wind', 'direction', 'Temp_max', 'Temp_min', 'Temp_athens','Temp_thessaloniki', 'Temp_ioannina', 'Temp_larissa','Temp_patra']].loc[date].values, self.data[['hour', 'month', 'sp_index', 'dayweek']].loc[date].values, np.power(self.data['month'].loc[date] * temp_max / 12, 3), np.power(self.data['sp_index'].loc[date] * temp_max / 100, 3))) for d in date_pred: temp_max = nwps[['Temp_max']].loc[d].values v = np.hstack( (self.data.loc[date, 'RESForecast']+self.data.loc[date, 'LoadForecast'], nwps_lstm[['cloud', 'wind', 'direction', 'Temp_max', 'Temp_min', 'Temp_athens', 'Temp_thessaloniki', 'Temp_ioannina', 'Temp_larissa','Temp_patra']].loc[d].values, self.data[['hour', 'month', 'sp_index', 'dayweek']].loc[d].values, np.power(self.data['month'].loc[d] * temp_max / 12, 3), np.power(self.data['sp_index'].loc[d] * temp_max / 100, 3))) var_3d = np.vstack((var_3d, v)) for d in date_curr: temp_max = nwps[['Temp_max']].loc[d].values v = np.hstack( (self.data.loc[date, 'RESForecast']+self.data.loc[date, 'LoadForecast'], nwps_lstm[['cloud', 'wind', 'direction', 'Temp_max', 'Temp_min', 'Temp_athens', 'Temp_thessaloniki', 'Temp_ioannina', 'Temp_larissa', 'Temp_patra']].loc[ d].values, self.data[['hour', 'month', 'sp_index', 'dayweek']].loc[d].values, np.power(self.data['month'].loc[d] * temp_max / 12, 3), np.power(self.data['sp_index'].loc[d] * temp_max / 100, 3))) var_3d = np.vstack((var_3d, v)) for d in date_inp1: temp_max = nwps[['Temp_max']].loc[d].values v = np.hstack( (self.data.loc[d, 'APE_net']+self.data.loc[d, 'SCADA'], nwps_lstm[['cloud', 'wind', 'direction', 'Temp_max', 'Temp_min', 'Temp_athens','Temp_thessaloniki', 'Temp_ioannina', 'Temp_larissa','Temp_patra']].loc[d].values, self.data[['hour', 'month', 'sp_index', 'dayweek']].loc[d].values, np.power(self.data['month'].loc[d] * temp_max / 12, 3), np.power(self.data['sp_index'].loc[d] * temp_max / 100, 3))) var_3d = np.vstack((var_3d, v)) except: continue inp = np.hstack((var_imp, var_unimp)) inp1 = pd.DataFrame(inp.reshape(-1, 1).T, index=[date], columns=col) targ1 = pd.DataFrame(self.data['lv_load'].loc[date], index=[date], columns=['target']) if not inp1.isnull().any(axis=1).values and not targ1.isnull().any().values: dataset = pd.concat([dataset, inp1]) target = pd.concat([target, targ1]) if dataset_3d.shape[0]==0: dataset_3d = var_3d elif len(dataset_3d.shape)==2: dataset_3d = np.stack((dataset_3d, var_3d)) else: dataset_3d = np.vstack((dataset_3d, var_3d[np.newaxis,:,:])) if not test: corr = [] for f in range(dataset.shape[1]): corr.append(np.abs(np.corrcoef(dataset.values[:, f], target.values.ravel())[1, 0])) ind = np.argsort(np.array(corr))[::-1] columns = dataset.columns[ind] dataset = dataset[columns] joblib.dump(ind, os.path.join(data_path, 'dataset_columns_order.pickle')) else: ind = joblib.load(os.path.join(data_path, 'dataset_columns_order.pickle')) columns = dataset.columns[ind] dataset = dataset[columns] return dataset, target, dataset_3d def create_sample_nwp(self, date, nwp, lats, longs): inp = pd.DataFrame() for var in sorted(self.variables): if var in {'WS', 'Flux', 'WD', 'Cloud', 'Temperature'}: if isinstance(lats, dict) and isinstance(longs, dict): for area in lats.keys(): X0 = nwp[var][np.ix_(lats[area], longs[area])] X = np.mean(X0) if var == 'Flux': var_name = 'flux' elif var == 'WS': var_name = 'wind' elif var == 'Cloud': var_name = 'cloud' elif var == 'Temperature': var_name = 'Temp' else: var_name = 'direction' col = [var_name + '_'+ area] inp = pd.concat([inp, pd.DataFrame(X.reshape(-1, 1).T, index=[date], columns=col)], axis=1) else: X0 = nwp[var][np.ix_(lats, longs)] X = np.mean(X0) if var == 'Flux': var_name = 'flux' elif var=='WS': var_name = 'wind' elif var == 'Cloud': var_name = 'cloud' elif var == 'Temperature': var_name = 'Temp' else: var_name = 'direction' col = [var_name] inp = pd.concat([inp, pd.DataFrame(X.reshape(-1, 1).T, index=[date], columns=col)], axis=1) else: continue return inp def make_dataset_lv_online(self): X = dict() for project in self.projects: X[project['_id']] = pd.DataFrame() lats, longs = self.lats_longs() nwp = self.stack_daily_nwps_online(self.dates[-1], self.data, lats, longs, self.path_nwp, self.nwp_model, self.projects, self.variables, self.compress) for project in self.projects: if nwp[0][project['_id']].shape[0] != 0: X[project['_id']] = pd.concat([X[project['_id']], nwp[0][project['_id']]]) for project in self.projects: data_path = project['static_data']['path_data'] dataset_X, dataset_y, X_3d = self.create_dataset_online(X[project['_id']], data_path, start_index=300, test = self.isfortest) if dataset_y.isna().any().values[0]: dataset_X = dataset_X.drop(dataset_y.index[np.where(dataset_y.isna())[0]]) if len(X_3d.shape) > 1: X_3d = np.delete(X_3d, np.where(dataset_y.isna())[0], axis=0) dataset_y = dataset_y.drop(dataset_y.index[np.where(dataset_y.isna())[0]]) def stack_daily_nwps_online(self, t, data, lats, longs, path_nwp, nwp_model, projects, variables, compress): X = dict() fname = os.path.join(path_nwp, nwp_model + '_' + t.strftime('%d%m%y') + '.pickle') if os.path.exists(fname): nwps = joblib.load(fname) pdates = pd.date_range(t + pd.DateOffset(hours=24), t + pd.DateOffset(hours=47), freq='H').strftime( '%d%m%y%H%M') for project in projects: X[project['_id']] = pd.DataFrame() areas = project['static_data']['areas'] x = pd.DataFrame() for date in pdates: try: nwp = nwps[date] date = pd.to_datetime(date, format='%d%m%y%H%M') if self.check_empty_nwp(nwp, variables): inp = self.create_sample_nwp(date, nwp, lats[project['_id']], longs[project['_id']]) x = pd.concat([x, inp]) except: continue if x.shape[0]>0: X[project['_id']] = x cols = ['Temp' + '_'+ area for area in lats[project['_id']].keys()] X[project['_id']]['Temp_max'] = x[cols].mean(axis=1).max() X[project['_id']]['Temp_min'] = x[cols].mean(axis=1).min() print(t.strftime('%d%m%y%H%M'), ' extracted') return (X, t.strftime('%d%m%y%H%M')) def create_dataset_online(self, nwps, data_path, start_index=9001, test=False): self.data['dayweek'] = self.data.index.dayofweek self.data['month'] = self.data.index.month self.data['hour'] = self.data.index.hour self.data['sp_index'] = [self.sp_index(d) for d in self.data.index] col = ['Temp', 'hour', 'month', 'sp_index', 'dayweek'] + nwps.drop(columns=['Temp_max']).columns.tolist() + [ 'Temp_month', 'Temp_sp_days'] col += ['SCADA_' + str(i) for i in range(14)] col += ['RESForecast_' + str(i) for i in range(14)] col += ['TOTAL_' + str(i) for i in range(14)] col += ['LoadForecast_' + str(i) for i in range(17)] col += ['LoadForecast_' + str(i) for i in range(17, 25)] col += ['Temp_max_' + str(i) for i in range(8)] col += ['Temp_min_' + str(i) for i in range(8)] col += ['sp_index_' + str(i) for i in range(8)] dataset = pd.DataFrame(columns=col) dataset_3d = np.array([]) nwps_lstm = nwps.copy(deep=True) for var in self.variables: if var=='WS': var='wind' elif var=='WD': var='direction' elif var=='Temperature': var='Temp' cols = [col for col in nwps.columns if str.lower(var) in str.lower(col)] nwps_lstm[str.lower(var)] = nwps_lstm[cols].mean(axis=1).values lags1 = np.hstack( [np.arange(48, 57), np.arange(72, 76), np.arange(190, 181), 216]) lags_curr = np.arange(16, 33) lags_pred = np.arange(1, 9) lags_days = np.arange(0, 8) for date in self.data.index[start_index:]: date_inp1 = [date - pd.DateOffset(hours=int(l)) for l in lags1] date_curr = [date - pd.DateOffset(hours=int(l)) for l in lags_curr] date_pred = [date + pd.DateOffset(hours=int(l)) for l in lags_pred] date_days = [date - pd.DateOffset(days=int(l)) for l in lags_days] try: temp_max = nwps[['Temp_max']].loc[date].values var_imp = np.hstack((temp_max, self.data[['hour', 'month', 'sp_index', 'dayweek']].loc[date].values, nwps.drop(columns=['Temp_max']).loc[date].values, np.power(self.data['month'].loc[date]*temp_max/12, 3), np.power(self.data['sp_index'].loc[date]*temp_max/100, 3))) col = ['Temp','hour', 'month', 'sp_index', 'dayweek'] + nwps.drop(columns=['Temp_max']).columns.tolist() + ['Temp_month', 'Temp_sp_days'] var_unimp = np.hstack(( self.data.loc[date_inp1, 'SCADA'].values, self.data.loc[date_inp1,'APE_net'].values, self.data.loc[date_inp1, 'SCADA'].values + self.data.loc[date_inp1, 'APE_net'].values, self.data.loc[date_curr, 'LoadForecast'].values, self.data.loc[date_pred, 'LoadForecast'].values, nwps.loc[date_days, 'Temp_max'].values, nwps.loc[date_days, 'Temp_min'].values, [self.sp_index(d) for d in date_days] )) col +=['SCADA_'+str(i) for i in range(14)] col +=['RESForecast_'+str(i) for i in range(14)] col +=['TOTAL_'+str(i) for i in range(14)] col += ['LoadForecast_' + str(i) for i in range(17)] col += ['LoadForecast_' + str(i) for i in range(17, 25)] col +=['Temp_max_'+str(i) for i in range(8)] col +=['Temp_min_'+str(i) for i in range(8)] col +=['sp_index_'+str(i) for i in range(8)] temp_max = nwps[['Temp_max']].loc[date].values var_3d = np.hstack((self.data.loc[date, 'LoadForecast'], nwps_lstm[['cloud', 'wind', 'direction', 'Temp_max', 'Temp_min', 'Temp_athens','Temp_thessaloniki', 'Temp_ioannina', 'Temp_larissa','Temp_patra']].loc[date].values, self.data[['hour', 'month', 'sp_index', 'dayweek']].loc[date].values, np.power(self.data['month'].loc[date] * temp_max / 12, 3), np.power(self.data['sp_index'].loc[date] * temp_max / 100, 3))) for d in date_pred: temp_max = nwps[['Temp_max']].loc[d].values v = np.hstack( (self.data.loc[date, 'LoadForecast'], nwps_lstm[['cloud', 'wind', 'direction', 'Temp_max', 'Temp_min', 'Temp_athens', 'Temp_thessaloniki', 'Temp_ioannina', 'Temp_larissa','Temp_patra']].loc[d].values, self.data[['hour', 'month', 'sp_index', 'dayweek']].loc[d].values, np.power(self.data['month'].loc[d] * temp_max / 12, 3), np.power(self.data['sp_index'].loc[d] * temp_max / 100, 3))) var_3d = np.vstack((var_3d, v)) for d in date_curr: temp_max = nwps[['Temp_max']].loc[d].values v = np.hstack( (self.data.loc[date, 'LoadForecast'], nwps_lstm[['cloud', 'wind', 'direction', 'Temp_max', 'Temp_min', 'Temp_athens', 'Temp_thessaloniki', 'Temp_ioannina', 'Temp_larissa', 'Temp_patra']].loc[ d].values, self.data[['hour', 'month', 'sp_index', 'dayweek']].loc[d].values, np.power(self.data['month'].loc[d] * temp_max / 12, 3), np.power(self.data['sp_index'].loc[d] * temp_max / 100, 3))) var_3d = np.vstack((var_3d, v)) for d in date_inp1: temp_max = nwps[['Temp_max']].loc[d].values v = np.hstack( (self.data.loc[d, 'APE_net']+self.data.loc[d, 'SCADA'], nwps_lstm[['cloud', 'wind', 'direction', 'Temp_max', 'Temp_min', 'Temp_athens','Temp_thessaloniki', 'Temp_ioannina', 'Temp_larissa','Temp_patra']].loc[d].values, self.data[['hour', 'month', 'sp_index', 'dayweek']].loc[d].values, np.power(self.data['month'].loc[d] * temp_max / 12, 3), np.power(self.data['sp_index'].loc[d] * temp_max / 100, 3))) var_3d = np.vstack((var_3d, v)) except: continue inp = np.hstack((var_imp, var_unimp)) inp1 = pd.DataFrame(inp.reshape(-1, 1).T, index=[date], columns=col) if not inp1.isnull().any(axis=1).values: dataset = pd.concat([dataset, inp1]) target = pd.concat([target, targ1]) if dataset_3d.shape[0]==0: dataset_3d = var_3d elif len(dataset_3d.shape)==2: dataset_3d = np.stack((dataset_3d, var_3d)) else: dataset_3d = np.vstack((dataset_3d, var_3d[np.newaxis,:,:])) ind = joblib.load(os.path.join(data_path, 'dataset_columns_order.pickle')) columns = dataset.columns[ind] dataset = dataset[columns] return dataset, target, dataset_3d

49.103175

226

0.506223

3,894

30,935

3.86492

0.076014

0.04412

0.014884

0.01701

0.804784

0.796213

0.777409

0.767641

0.751827

0.736744

0

0.020414

0.338096

30,935

630

227

49.103175

0.714593

0.011217

0

0.724528

0

0.111115

0.004218

0

1

0.030189

false

0

0.011321

0

0.064151

0.003774

0

null

0

1

0

1

0

null

0

7

0a232bb39fadd1014079908d00400a550b62f808

6,830

py

Python

generator.py

oliverquintana/UUr-cGAN

769e6e6c72f91f67efe58b6d68a0c302f8db95bb

[ "MIT" ]

1

2022-01-12T02:57:15.000Z

generator.py

oliverquintana/UUr-cGAN

769e6e6c72f91f67efe58b6d68a0c302f8db95bb

[ "MIT" ]

null

generator.py

oliverquintana/UUr-cGAN

769e6e6c72f91f67efe58b6d68a0c302f8db95bb

[ "MIT" ]

null

from tensorflow.keras.layers import Add from tensorflow.keras.models import Model from tensorflow.keras.layers import Input from tensorflow.keras.layers import Dense from tensorflow.keras.layers import Conv2D from tensorflow.keras.layers import Dropout from tensorflow.keras.layers import LeakyReLU from tensorflow.keras.layers import Activation from tensorflow.keras.layers import Concatenate from tensorflow.keras.layers import Conv2DTranspose from tensorflow.keras.layers import BatchNormalization from tensorflow_addons.layers import InstanceNormalization from tensorflow.keras.initializers import he_normal from tensorflow.keras.initializers import RandomNormal def residual_block(r, f): init = RandomNormal(stddev = 0.02) r_short = r r = Conv2D(f, (3,3), padding = 'same', kernel_initializer = init)(r) r = InstanceNormalization()(r) r = LeakyReLU(alpha = 0.2)(r) r = Conv2D(f, (3,3), padding = 'same', kernel_initializer = init)(r) r = InstanceNormalization()(r) r = Add()([r_short, r]) r = LeakyReLU(alpha = 0.2)(r) return r def build_generator(img_shape = [256, 256, 1], drop = 0.1): input_img = Input(shape = img_shape) init = RandomNormal(stddev = 0.02) #init = he_normal() # Encoder g1 = Conv2D(64, (3,3), padding = 'same', kernel_initializer = init)(input_img) g1 = Conv2D(64, (3,3), padding = 'same', kernel_initializer = init)(g1) g1 = InstanceNormalization()(g1) g1 = LeakyReLU(alpha = 0.2)(g1) g2 = Conv2D(128, (3,3), strides = (2,2), padding = 'same', kernel_initializer = init)(g1) g2 = Conv2D(128, (3,3), padding = 'same', kernel_initializer = init)(g2) g2 = InstanceNormalization()(g2) g2 = LeakyReLU(alpha = 0.2)(g2) g3 = Conv2D(256, (3,3), strides = (2,2), padding = 'same', kernel_initializer = init)(g2) g3 = Conv2D(256, (3,3), padding = 'same', kernel_initializer = init)(g3) g3 = InstanceNormalization()(g3) g3 = LeakyReLU(alpha = 0.2)(g3) g4 = Conv2D(512, (3,3), strides = (2,2), padding = 'same', kernel_initializer = init)(g3) g4 = Conv2D(512, (3,3), padding = 'same', kernel_initializer = init)(g4) g4 = InstanceNormalization()(g4) g4 = LeakyReLU(alpha = 0.2)(g4) # Bottleneck g = Conv2D(1024, (3,3), strides = (2,2), padding = 'same', kernel_initializer = init)(g4) g = Conv2D(1024, (3,3), padding = 'same', kernel_initializer = init)(g) g = Conv2D(1024, (3,3), padding = 'same', kernel_initializer = init)(g) g = InstanceNormalization()(g) g = Dropout(drop)(g, training = True) g = LeakyReLU(alpha = 0.2)(g) # Decoder g5 = Conv2DTranspose(512, (3,3), strides = (2,2), padding = 'same', kernel_initializer = init)(g) g5 = Add()([g4, g5]) g5 = Conv2D(256, (3,3), padding = 'same', kernel_initializer = init)(g5) g5 = Conv2D(256, (3,3), padding = 'same', kernel_initializer = init)(g5) g5 = InstanceNormalization()(g5) g5 = LeakyReLU(alpha = 0.2)(g5) g6 = Conv2DTranspose(256, (3,3), strides = (2,2), padding = 'same', kernel_initializer = init)(g5) g6 = Add()([g3, g6]) g6 = Conv2D(128, (3,3), padding = 'same', kernel_initializer = init)(g6) g6 = Conv2D(128, (3,3), padding = 'same', kernel_initializer = init)(g6) g6 = InstanceNormalization()(g6) g6 = LeakyReLU(alpha = 0.2)(g6) g7 = Conv2DTranspose(128, (3,3), strides = (2,2), padding = 'same', kernel_initializer = init)(g6) g7 = Add()([g2, g7]) g7 = Conv2D(64, (3,3), padding = 'same', kernel_initializer = init)(g7) g7 = Conv2D(64, (3,3), padding = 'same', kernel_initializer = init)(g7) g7 = InstanceNormalization()(g7) g7 = LeakyReLU(alpha = 0.2)(g7) g8 = Conv2DTranspose(64, (3,3), strides = (2,2), padding = 'same', kernel_initializer = init)(g7) g8 = Add()([g1, g8]) g8 = Conv2D(64, (3,3), padding = 'same', kernel_initializer = init)(g8) g8 = Conv2D(64, (3,3), padding = 'same', kernel_initializer = init)(g8) g8 = InstanceNormalization()(g8) g8 = LeakyReLU(alpha = 0.2)(g8) g1 = residual_block(g8, 64) g1 = Add()([g8, g1]) g1 = Conv2D(64, (3,3), padding = 'same', kernel_initializer = init)(g1) g1 = InstanceNormalization()(g1) g1 = LeakyReLU(alpha = 0.2)(g1) g2 = Conv2D(64, (3,3), strides = (2,2), padding = 'same', kernel_initializer = init)(g1) g2 = Add()([g7, g2]) g2 = residual_block(g2, 64) g2 = Conv2D(128, (3,3), padding = 'same', kernel_initializer = init)(g2) g2 = InstanceNormalization()(g2) g2 = LeakyReLU(alpha = 0.2)(g2) g3 = Conv2D(128, (3,3), strides = (2,2), padding = 'same', kernel_initializer = init)(g2) g3 = Add()([g6, g3]) g3 = residual_block(g3, 128) g3 = Conv2D(256, (3,3), padding = 'same', kernel_initializer = init)(g3) g3 = InstanceNormalization()(g3) g3 = LeakyReLU(alpha = 0.2)(g3) g4 = Conv2D(256, (3,3), strides = (2,2), padding = 'same', kernel_initializer = init)(g3) g4 = Add()([g5, g4]) g4 = residual_block(g4, 256) g4 = Conv2D(512, (3,3), padding = 'same', kernel_initializer = init)(g4) g4 = InstanceNormalization()(g4) g4 = LeakyReLU(alpha = 0.2)(g4) g = Conv2D(512, (3,3), strides = (2,2), padding = 'same', kernel_initializer = init)(g4) g = residual_block(g, 512) g = Conv2D(1024, (3,3), padding = 'same', kernel_initializer = init)(g) g = InstanceNormalization()(g) g = Dropout(drop)(g, training = True) g = LeakyReLU(alpha = 0.2)(g) g5 = Conv2DTranspose(512, (3,3), strides = (2,2), padding = 'same', kernel_initializer = init)(g) g5 = Add()([g4, g5]) g5 = residual_block(g5, 512) g5 = Conv2D(256, (3,3), padding = 'same', kernel_initializer = init)(g5) g5 = InstanceNormalization()(g5) g5 = LeakyReLU(alpha = 0.2)(g5) g6 = Conv2DTranspose(256, (3,3), strides = (2,2), padding = 'same', kernel_initializer = init)(g5) g6 = Add()([g3, g6]) g6 = residual_block(g6, 256) g6 = Conv2D(128, (3,3), padding = 'same', kernel_initializer = init)(g6) g6 = InstanceNormalization()(g6) g6 = LeakyReLU(alpha = 0.2)(g6) g7 = Conv2DTranspose(128, (3,3), strides = (2,2), padding = 'same', kernel_initializer = init)(g6) g7 = Add()([g2, g7]) g7 = residual_block(g7, 128) g7 = Conv2D(64, (3,3), padding = 'same', kernel_initializer = init)(g7) g7 = InstanceNormalization()(g7) g7 = LeakyReLU(alpha = 0.2)(g7) g8 = Conv2DTranspose(64, (3,3), strides = (2,2), padding = 'same', kernel_initializer = init)(g7) g8 = Add()([g1, g8]) g8 = residual_block(g8, 64) g8 = Conv2D(1, (3,3), padding = 'same', kernel_initializer = init)(g8) g8 = InstanceNormalization()(g8) g8 = Activation('tanh')(g8) model = Model(input_img, g8) return model if __name__ == '__main__': model = build_generator() model.summary()

40.654762

102

0.630015

942

6,830

4.491507

0.076433

0.019853

0.168754

0.277948

0.844481

0.739305

0.731033

0

0.097339

0.196779

6,830

167

103

40.898204

0.673897

0.006589

0

0.621212

0

0.026545

0

1

0.015152

false

0

0.106061

0

0.136364

0

null

0

1

0

null

0

7

0a4e4517bb1fe9d0cb05920be504e79c51642ab7

107

py

Python

saefportal/users/views/__init__.py

harry-consulting/SAEF

12ef43bbcc3178b8a988e21c1bef035881cf6e6d

[ "BSD-2-Clause" ]

4

2020-12-16T13:14:26.000Z

2022-03-26T08:54:12.000Z

saefportal/users/views/__init__.py

harry-consulting/SAEF

12ef43bbcc3178b8a988e21c1bef035881cf6e6d

[ "BSD-2-Clause" ]

1

2022-03-26T09:09:04.000Z

saefportal/users/views/__init__.py

harry-consulting/SAEF

12ef43bbcc3178b8a988e21c1bef035881cf6e6d

[ "BSD-2-Clause" ]

1

2020-12-16T13:20:17.000Z

from .admin_view import * from .login_view import * from .logout_view import * from .register_view import *

26.75

28

0.785047

16

107

5

0.4375

0.5

0.525

0

0.140187

107

4

28

26.75

0.869565

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

0a709c96b640be74506ed0ad1673af33351d2746

105

py

Python

Codes/drawtriangle.py

JojiJohnson/Python-Basics

0107cbf3b85cd73c57fa6474a5febb91cdae216c

[ "MIT" ]

null

Codes/drawtriangle.py

JojiJohnson/Python-Basics

0107cbf3b85cd73c57fa6474a5febb91cdae216c

[ "MIT" ]

null

Codes/drawtriangle.py

JojiJohnson/Python-Basics

0107cbf3b85cd73c57fa6474a5febb91cdae216c

[ "MIT" ]

null

print (" /\ ") print (" / \ ") print (" / \ ") print (" / \ ") print ("/________\ ")

17.5

22

0.314286

5

105

5

0.2

1.6

1.8

1.6

0

0.4

105

5

23

21

0.396825

0

0.8

0

0.45

0

1

0

true

0

1

0

null

1

0

1

0

1

0

1

0

null

0

1

0

1

0

9

6a54dc667888382e0a2d98bf7437ba1c706709d1

110,898

py

Python

test/api_test.py

kenrp8/cacahuate

58998bf1323a689e28c5eec66b8d94b4a5b5b592

[ "MIT" ]

null

test/api_test.py

kenrp8/cacahuate

58998bf1323a689e28c5eec66b8d94b4a5b5b592

[ "MIT" ]

null

test/api_test.py

kenrp8/cacahuate

58998bf1323a689e28c5eec66b8d94b4a5b5b592

[ "MIT" ]

null

from datetime import datetime from flask import json from random import choice from string import ascii_letters import pika import urllib.parse from cacahuate.handler import Handler from cacahuate.models import Pointer, Execution from cacahuate.xml import Xml from cacahuate.node import Form from cacahuate.jsontypes import SortedMap, Map from .utils import make_auth, make_pointer, make_user, make_date from .utils import assert_near_date EXECUTION_ID = '15asbs' def test_continue_process_asks_for_user(client): res = client.post('/v1/pointer') assert res.status_code == 401 assert 'WWW-Authenticate' in res.headers assert res.headers['WWW-Authenticate'] == \ 'Basic realm="User Visible Realm"' assert json.loads(res.data) == { 'errors': [{ 'detail': 'You must provide basic authorization headers', 'where': 'request.authorization', }], } def test_continue_process_requires(client): juan = make_user('juan', 'Juan') res = client.post('/v1/pointer', headers={**{ 'Content-Type': 'application/json', }, **make_auth(juan)}, data=json.dumps({})) assert res.status_code == 400 assert json.loads(res.data) == { 'errors': [ { 'detail': "'execution_id' is required", 'code': 'validation.required', 'where': 'request.body.execution_id', }, { 'detail': "'node_id' is required", 'code': 'validation.required', 'where': 'request.body.node_id', }, ], } def test_continue_process_asks_living_objects(client): ''' the app must validate that the ids sent are real objects ''' juan = make_user('juan', 'Juan') res = client.post('/v1/pointer', headers={**{ 'Content-Type': 'application/json', }, **make_auth(juan)}, data=json.dumps({ 'execution_id': 'verde', 'node_id': 'nada', })) assert res.status_code == 400 assert json.loads(res.data) == { 'errors': [ { 'detail': 'execution_id is not valid', 'code': 'validation.invalid', 'where': 'request.body.execution_id', }, ], } def test_continue_process_requires_valid_node(client): juan = make_user('juan', 'Juan') exc = Execution( process_name='simple.2018-02-19.xml', ).save() res = client.post('/v1/pointer', headers={**{ 'Content-Type': 'application/json', }, **make_auth(juan)}, data=json.dumps({ 'execution_id': exc.id, 'node_id': 'notarealnode', })) assert res.status_code == 400 assert json.loads(res.data) == { 'errors': [ { 'detail': 'node_id is not a valid node', 'code': 'validation.invalid_node', 'where': 'request.body.node_id', }, ], } def test_continue_process_requires_living_pointer(client): juan = make_user('juan', 'Juan') exc = Execution( process_name='simple.2018-02-19.xml', ).save() res = client.post('/v1/pointer', headers={**{ 'Content-Type': 'application/json', }, **make_auth(juan)}, data=json.dumps({ 'execution_id': exc.id, 'node_id': 'mid_node', })) assert res.status_code == 400 assert json.loads(res.data) == { 'errors': [ { 'detail': 'node_id does not have a live pointer', 'code': 'validation.no_live_pointer', 'where': 'request.body.node_id', }, ], } def test_continue_process_requires_user_hierarchy(client): ''' a node whose auth has a filter must be completed by a person matching the filter ''' juan = make_user('juan', 'Juan') ptr = make_pointer('simple.2018-02-19.xml', 'mid_node') res = client.post('/v1/pointer', headers={**{ 'Content-Type': 'application/json', }, **make_auth(juan)}, data=json.dumps({ 'execution_id': ptr.proxy.execution.get().id, 'node_id': ptr.node_id, })) assert res.status_code == 403 assert json.loads(res.data) == { 'errors': [{ 'detail': 'Provided user does not have this task assigned', 'where': 'request.authorization', }], } def test_continue_process_requires_data(client): manager = make_user('juan_manager', 'Juanote') ptr = make_pointer('simple.2018-02-19.xml', 'mid_node') manager.proxy.tasks.set([ptr]) res = client.post('/v1/pointer', headers={**{ 'Content-Type': 'application/json', }, **make_auth(manager)}, data=json.dumps({ 'execution_id': ptr.proxy.execution.get().id, 'node_id': ptr.node_id, })) assert res.status_code == 400 assert json.loads(res.data) == { 'errors': [{ 'detail': "form count lower than expected for ref mid_form", 'where': 'request.body.form_array', }], } def test_continue_process(client, mocker, config): mocker.patch( 'pika.adapters.blocking_connection.' 'BlockingChannel.basic_publish' ) manager = make_user('juan_manager', 'Juanote') ptr = make_pointer('simple.2018-02-19.xml', 'mid_node') manager.proxy.tasks.set([ptr]) exc = ptr.proxy.execution.get() res = client.post('/v1/pointer', headers={**{ 'Content-Type': 'application/json', }, **make_auth(manager)}, data=json.dumps({ 'execution_id': exc.id, 'node_id': ptr.node_id, 'form_array': [ { 'ref': 'mid_form', 'data': { 'data': 'yes', }, }, ], })) assert res.status_code == 202 assert json.loads(res.data) == { 'data': 'accepted', } # rabbit is called pika.adapters.blocking_connection.BlockingChannel.\ basic_publish.assert_called_once() args = pika.adapters.blocking_connection.BlockingChannel.\ basic_publish.call_args[1] json_message = { 'command': 'step', 'pointer_id': ptr.id, 'user_identifier': 'juan_manager', 'input': [Form.state_json('mid_form', [ { "name": "data", "type": "text", "value": "yes", 'label': 'data', 'value_caption': 'yes', 'state': 'valid', 'hidden': False, }, ])], } assert args['exchange'] == '' assert args['routing_key'] == config['RABBIT_QUEUE'] body = json.loads(args['body']) assert body == json_message # makes a useful call for the handler handler = Handler(config) pointer, user, inputs = handler.recover_step(json_message) assert pointer.id == ptr.id def test_start_process_requirements(client, mongo, config): # first requirement is to have authentication res = client.post('/v1/execution', headers={ 'Content-Type': 'application/json', }, data=json.dumps({ 'process_name': 'simple', })) assert res.status_code == 401 assert 'WWW-Authenticate' in res.headers assert res.headers['WWW-Authenticate'] == \ 'Basic realm="User Visible Realm"' assert json.loads(res.data) == { 'errors': [{ 'detail': 'You must provide basic authorization headers', 'where': 'request.authorization', }], } assert Execution.count() == 0 # next, validate the form data juan = make_user('juan', 'Juan') res = client.post('/v1/execution', headers={**{ 'Content-Type': 'application/json', }, **make_auth(juan)}, data=json.dumps({ 'process_name': 'simple', })) assert res.status_code == 400 assert json.loads(res.data) == { 'errors': [{ 'detail': "form count lower than expected for ref start_form", 'where': 'request.body.form_array', }], } assert Execution.count() == 0 juan = make_user('juan', 'Juan') res = client.post('/v1/execution', headers={**{ 'Content-Type': 'application/json', }, **make_auth(juan)}, data='{}') assert res.status_code == 400 assert json.loads(res.data) == { 'errors': [ { 'detail': "'process_name' is required", 'where': 'request.body.process_name', 'code': 'validation.required', }, ], } # we need an existing process to start res = client.post('/v1/execution', headers={**{ 'Content-Type': 'application/json', }, **make_auth(juan)}, data=json.dumps({ 'process_name': 'foo', })) assert res.status_code == 404 assert json.loads(res.data) == { 'errors': [ { 'detail': 'foo process does not exist', 'where': 'request.body.process_name', }, ], } # no registry should be created yet assert mongo[config["POINTER_COLLECTION"]].count_documents({}) == 0 def test_start_process(client, mocker, config, mongo): mocker.patch( 'pika.adapters.blocking_connection.' 'BlockingChannel.basic_publish' ) juan = make_user('juan', 'Juan') res = client.post('/v1/execution', headers={**{ 'Content-Type': 'application/json', }, **make_auth(juan)}, data=json.dumps({ 'process_name': 'simple', 'form_array': [{ 'ref': 'start_form', 'data': { 'data': 'yes', }, }], })) assert res.status_code == 201 exc = Execution.get_all()[0] assert exc.process_name == 'simple.2018-02-19.xml' ptr = exc.proxy.pointers.get()[0] assert ptr.node_id == 'start_node' pika.adapters.blocking_connection.BlockingChannel.\ basic_publish.assert_called_once() args = pika.adapters.blocking_connection.\ BlockingChannel.basic_publish.call_args[1] json_message = { 'command': 'step', 'pointer_id': ptr.id, 'user_identifier': 'juan', 'input': [Form.state_json('start_form', [ { 'label': 'Info', 'type': 'text', 'value': 'yes', 'value_caption': 'yes', 'name': 'data', 'state': 'valid', 'hidden': False, }, ])], } assert args['exchange'] == '' assert args['routing_key'] == config['RABBIT_QUEUE'] assert json.loads(args['body']) == json_message handler = Handler(config) pointer, user, input = handler.recover_step(json_message) assert pointer.id == ptr.id # mongo has a registry reg = next(mongo[config["POINTER_COLLECTION"]].find()) assert_near_date(reg['started_at']) assert reg['finished_at'] is None assert reg['execution']['id'] == exc.id assert reg['node']['id'] == ptr.node_id reg = next(mongo[config["EXECUTION_COLLECTION"]].find()) assert_near_date(reg['started_at']) del reg['started_at'] del reg['_id'] assert len(reg['values']['_execution'][0]['id']) > 0 assert len(reg['values']['_execution'][0]['started_at']) > 0 del reg['values']['_execution'][0]['id'] del reg['values']['_execution'][0]['started_at'] assert reg == { '_type': 'execution', 'id': exc.id, 'name': exc.name, 'description': exc.description, 'status': 'ongoing', 'finished_at': None, 'process_name': 'simple.2018-02-19.xml', 'status': 'ongoing', 'state': { '_type': ':sorted_map', 'items': { 'start_node': { '_type': 'node', 'type': 'action', 'id': 'start_node', 'state': 'unfilled', 'comment': '', 'actors': { '_type': ':map', 'items': {}, }, 'milestone': False, 'name': 'Primer paso', 'description': 'Resolver una tarea', }, 'mid_node': { '_type': 'node', 'type': 'action', 'id': 'mid_node', 'state': 'unfilled', 'comment': '', 'actors': { '_type': ':map', 'items': {}, }, 'milestone': False, 'name': 'Segundo paso', 'description': 'añadir información', }, 'final_node': { '_type': 'node', 'type': 'action', 'id': 'final_node', 'state': 'unfilled', 'comment': '', 'actors': { '_type': ':map', 'items': {}, }, 'milestone': False, 'name': '', 'description': '', }, }, 'item_order': [ 'start_node', 'mid_node', 'final_node', ], }, 'values': { '_execution': [{ 'description': 'A simple process that does nothing', 'name': 'Simplest process ever started with: yes', 'process_name': 'simple.2018-02-19.xml', }], }, 'actors': {}, 'actor_list': [], } def test_validation_requirements(client): juan = make_user('juan', 'Juan') ptr = make_pointer('validation.2018-05-09.xml', 'approval_node') exc = ptr.proxy.execution.get() juan.proxy.tasks.add(ptr) res = client.post('/v1/pointer', headers={**{ 'Content-Type': 'application/json', }, **make_auth(juan)}, data=json.dumps({ 'execution_id': exc.id, 'node_id': 'approval_node', })) assert res.status_code == 400 assert json.loads(res.data) == { 'errors': [ { 'detail': "'response' is required", 'code': 'validation.required', 'where': 'request.body.response', }, ], } res = client.post('/v1/pointer', headers={**{ 'Content-Type': 'application/json', }, **make_auth(juan)}, data=json.dumps({ 'execution_id': exc.id, 'node_id': 'approval_node', 'response': ''.join(choice(ascii_letters) for c in range(10)), })) assert res.status_code == 400 assert json.loads(res.data) == { 'errors': [ { 'detail': "'response' value invalid", 'code': 'validation.invalid', 'where': 'request.body.response', }, ], } res = client.post('/v1/pointer', headers={**{ 'Content-Type': 'application/json', }, **make_auth(juan)}, data=json.dumps({ 'execution_id': exc.id, 'node_id': 'approval_node', 'response': 'reject', })) assert res.status_code == 400 assert json.loads(res.data) == { 'errors': [ { 'detail': "'inputs' is required", 'code': 'validation.required', 'where': 'request.body.inputs', }, ], } res = client.post('/v1/pointer', headers={**{ 'Content-Type': 'application/json', }, **make_auth(juan)}, data=json.dumps({ 'execution_id': exc.id, 'node_id': 'approval_node', 'response': 'reject', 'inputs': 'de', })) assert res.status_code == 400 assert json.loads(res.data) == { 'errors': [ { 'detail': "'inputs' must be a list", 'code': 'validation.required_list', 'where': 'request.body.inputs', }, ], } res = client.post('/v1/pointer', headers={**{ 'Content-Type': 'application/json', }, **make_auth(juan)}, data=json.dumps({ 'execution_id': exc.id, 'node_id': 'approval_node', 'response': 'reject', 'inputs': [], })) assert res.status_code == 400 assert json.loads(res.data) == { 'errors': [ { 'detail': "'inputs' must be a list", 'code': 'validation.required_list', 'where': 'request.body.inputs', }, ], } res = client.post('/v1/pointer', headers={**{ 'Content-Type': 'application/json', }, **make_auth(juan)}, data=json.dumps({ 'execution_id': exc.id, 'node_id': 'approval_node', 'response': 'reject', 'inputs': ['de'], })) assert res.status_code == 400 assert json.loads(res.data) == { 'errors': [ { 'detail': "'inputs.0' must be an object", 'code': 'validation.required_dict', 'where': 'request.body.inputs.0', }, ], } res = client.post('/v1/pointer', headers={**{ 'Content-Type': 'application/json', }, **make_auth(juan)}, data=json.dumps({ 'execution_id': exc.id, 'node_id': 'approval_node', 'response': 'reject', 'inputs': [{ }], })) assert res.status_code == 400 assert json.loads(res.data) == { 'errors': [ { 'detail': "'inputs.0.ref' is required", 'code': 'validation.required', 'where': 'request.body.inputs.0.ref', }, ], } res = client.post('/v1/pointer', headers={**{ 'Content-Type': 'application/json', }, **make_auth(juan)}, data=json.dumps({ 'execution_id': exc.id, 'node_id': 'approval_node', 'response': 'reject', 'inputs': [{ 'ref': 'de', }], })) assert res.status_code == 400 assert json.loads(res.data) == { 'errors': [ { 'detail': "'inputs.0.ref' value invalid", 'code': 'validation.invalid', 'where': 'request.body.inputs.0.ref', }, ], } res = client.post('/v1/pointer', headers={**{ 'Content-Type': 'application/json', }, **make_auth(juan)}, data=json.dumps({ 'execution_id': exc.id, 'node_id': 'approval_node', 'response': 'reject', 'inputs': [{ 'ref': 'start_node.juan.0:work.task', }], })) assert res.status_code == 400 assert json.loads(res.data) == { 'errors': [ { 'detail': "'comment' is required", 'code': 'validation.required', 'where': 'request.body.comment', }, ], } res = client.post('/v1/pointer', headers={**{ 'Content-Type': 'application/json', }, **make_auth(juan)}, data=json.dumps({ 'execution_id': exc.id, 'node_id': 'approval_node', 'response': 'reject', 'inputs': [{ 'ref': 'start_node.juan.0:work.task', }], 'comment': [], })) assert res.status_code == 400 assert json.loads(res.data) == { 'errors': [ { 'detail': "'comment' must be a str", 'code': 'validation.invalid', 'where': 'request.body.comment', }, ], } def test_validation_approval(client, mocker, config): ''' the api for an approval ''' mocker.patch( 'pika.adapters.blocking_connection.' 'BlockingChannel.basic_publish' ) juan = make_user('juan', 'Juan') ptr = make_pointer('validation.2018-05-09.xml', 'approval_node') exc = ptr.proxy.execution.get() juan.proxy.tasks.add(ptr) res = client.post('/v1/pointer', headers={**{ 'Content-Type': 'application/json', }, **make_auth(juan)}, data=json.dumps({ 'execution_id': exc.id, 'node_id': 'approval_node', 'response': 'accept', 'comment': 'I like the previous work', })) assert res.status_code == 202 # rabbit is called pika.adapters.blocking_connection.BlockingChannel.\ basic_publish.assert_called_once() args = pika.adapters.blocking_connection.BlockingChannel.basic_publish \ .call_args[1] assert args['exchange'] == '' assert args['routing_key'] == config['RABBIT_QUEUE'] assert json.loads(args['body']) == { 'command': 'step', 'pointer_id': ptr.id, 'user_identifier': 'juan', 'input': [Form.state_json('approval_node', [ { 'name': 'response', 'value': 'accept', 'value_caption': 'accept', }, { 'name': 'comment', 'value': 'I like the previous work', 'value_caption': 'I like the previous work', }, { 'name': 'inputs', 'value': None, 'value_caption': 'null', }, ])], } def test_validation_reject(client, mocker, config): ''' the api for a reject ''' mocker.patch( 'pika.adapters.blocking_connection.' 'BlockingChannel.basic_publish' ) juan = make_user('juan', 'Juan') ptr = make_pointer('validation.2018-05-09.xml', 'approval_node') exc = ptr.proxy.execution.get() juan.proxy.tasks.add(ptr) res = client.post('/v1/pointer', headers={**{ 'Content-Type': 'application/json', }, **make_auth(juan)}, data=json.dumps({ 'execution_id': exc.id, 'node_id': ptr.node_id, 'response': 'reject', 'comment': 'I dont like it', 'inputs': [{ 'ref': 'start_node.juan.0:work.task', }], })) assert res.status_code == 202 # rabbit is called pika.adapters.blocking_connection.BlockingChannel.\ basic_publish.assert_called_once() args = pika.adapters.blocking_connection.BlockingChannel.basic_publish \ .call_args[1] assert args['exchange'] == '' assert args['routing_key'] == config['RABBIT_QUEUE'] assert json.loads(args['body']) == { 'command': 'step', 'pointer_id': ptr.id, 'user_identifier': 'juan', 'input': [Form.state_json('approval_node', [ { 'name': 'response', 'value': 'reject', 'value_caption': 'reject', }, { 'name': 'comment', 'value': 'I dont like it', 'value_caption': 'I dont like it', }, { 'name': 'inputs', 'value': [{ 'ref': 'start_node.juan.0:work.task', }], 'value_caption': '[{"ref": "start_node.juan.0:work.task"}]', }, ])], } def test_patch_requirements(client, mongo, config): juan = make_user('juan', 'Juan') ptr = make_pointer('exit_request.2018-03-20.xml', 'requester') exc = ptr.proxy.execution.get() mongo[config["EXECUTION_COLLECTION"]].insert_one({ '_type': 'execution', 'id': exc.id, 'state': Xml.load(config, exc.process_name, direct=True).get_state(), }) mongo[config['EXECUTION_COLLECTION']].update_one({ 'id': exc.id, }, { '$set': { 'state.items.requester.actors': Map([{ "_type": "actor", "forms": [{ '_type': 'form', 'state': 'valid', 'ref': 'exit_form', 'inputs': SortedMap([{ '_type': 'field', 'state': 'valid', 'value': 'yes', 'name': 'reason', }], key='name').to_json(), }], "state": "valid", "user": { "_type": "user", "identifier": "__system__", "fullname": "System" }, }], key=lambda a: a['user']['identifier']).to_json(), }, }) # 'inputs' key is required res = client.patch('/v1/execution/{}'.format(exc.id), headers={**{ 'Content-Type': 'application/json', }, **make_auth(juan)}, data=json.dumps({ 'comment': 'I dont like it', })) assert res.status_code == 400 assert json.loads(res.data) == { 'errors': [{ 'code': 'validation.required', 'detail': '\'inputs\' is required', 'where': 'request.body.inputs', }], } # all refs must exist res = client.patch('/v1/execution/{}'.format(exc.id), headers={**{ 'Content-Type': 'application/json', }, **make_auth(juan)}, data=json.dumps({ 'comment': 'I dont like it', 'inputs': [{ 'ref': 'node_id.form_ref.input_name', }], })) assert res.status_code == 400 assert json.loads(res.data) == { 'errors': [ { 'detail': 'node node_id not found', 'code': 'validation.invalid', 'where': 'request.body.inputs.0.ref', }, ], } # ref must pass validation if value present res = client.patch('/v1/execution/{}'.format(exc.id), headers={**{ 'Content-Type': 'application/json', }, **make_auth(juan)}, data=json.dumps({ 'comment': 'I dont like it', 'inputs': [{ 'ref': 'requester.exit_form.reason', 'value': '', }], })) assert res.status_code == 400 assert json.loads(res.data) == { 'errors': [ { 'detail': 'value invalid: \'reason\' is required', 'where': 'request.body.inputs.0.value', 'code': 'validation.invalid', }, ], } def test_patch_just_invalidate(client, mongo, config, mocker): mocker.patch( 'pika.adapters.blocking_connection.' 'BlockingChannel.basic_publish' ) juan = make_user('juan', 'Juan') ptr = make_pointer('exit_request.2018-03-20.xml', 'requester') exc = ptr.proxy.execution.get() mongo[config["EXECUTION_COLLECTION"]].insert_one({ '_type': 'execution', 'id': exc.id, 'state': Xml.load(config, exc.process_name, direct=True).get_state(), }) mongo[config['EXECUTION_COLLECTION']].update_one({ 'id': exc.id, }, { '$set': { 'state.items.requester.actors': Map([{ "_type": "actor", "forms": [{ '_type': 'form', 'state': 'valid', 'ref': 'exit_form', 'inputs': SortedMap([{ '_type': 'field', 'state': 'valid', 'value': 'yes', 'name': 'reason', }], key='name').to_json(), }], "state": "valid", "user": { "_type": "user", "identifier": "juan", "fullname": "System" }, }], key=lambda a: a['user']['identifier']).to_json(), }, }) res = client.patch('/v1/execution/{}'.format(exc.id), headers={**{ 'Content-Type': 'application/json', }, **make_auth(juan)}, data=json.dumps({ 'comment': 'a comment', 'inputs': [{ 'ref': 'requester.exit_form.reason', }], })) assert res.status_code == 202 # message is queued pika.adapters.blocking_connection.BlockingChannel.\ basic_publish.assert_called_once() args = pika.adapters.blocking_connection.BlockingChannel.\ basic_publish.call_args[1] json_message = { 'command': 'patch', 'execution_id': exc.id, 'comment': 'a comment', 'inputs': [{ 'ref': 'requester.juan.0:exit_form.reason', }], 'user_identifier': 'juan', } assert args['exchange'] == '' assert args['routing_key'] == config['RABBIT_QUEUE'] body = json.loads(args['body']) assert body == json_message def test_patch_set_value(client, mongo, config, mocker): mocker.patch( 'pika.adapters.blocking_connection.' 'BlockingChannel.basic_publish' ) juan = make_user('juan', 'Juan') ptr = make_pointer('exit_request.2018-03-20.xml', 'requester') exc = ptr.proxy.execution.get() mongo[config["EXECUTION_COLLECTION"]].insert_one({ '_type': 'execution', 'id': exc.id, 'state': Xml.load(config, exc.process_name, direct=True).get_state(), }) mongo[config['EXECUTION_COLLECTION']].update_one({ 'id': exc.id, }, { '$set': { 'state.items.requester.actors': Map([{ "_type": "actor", "forms": [ { '_type': 'form', 'state': 'valid', 'ref': 'exit_form', 'inputs': SortedMap([{ '_type': 'field', 'state': 'valid', 'value': 'want to pee', 'name': 'reason', }], key='name').to_json(), }, { '_type': 'form', 'state': 'valid', 'ref': 'code_form', 'inputs': SortedMap([{ '_type': 'field', 'state': 'valid', 'value': 'kadabra', 'name': 'code', }], key='name').to_json(), }, ], "state": "valid", "user": { "_type": "user", "identifier": "juan", "fullname": "System" }, }], key=lambda a: a['user']['identifier']).to_json(), }, }) res = client.patch('/v1/execution/{}'.format(exc.id), headers={**{ 'Content-Type': 'application/json', }, **make_auth(juan)}, data=json.dumps({ 'comment': 'pee is not a valid reason', 'inputs': [ { 'ref': 'requester.exit_form.reason', 'value': 'am hungry', }, { 'ref': 'requester.code_form.code', 'value': 'alakazam', }, ], })) assert res.status_code == 202 # message is queued pika.adapters.blocking_connection.BlockingChannel.\ basic_publish.assert_called_once() args = pika.adapters.blocking_connection.BlockingChannel.\ basic_publish.call_args[1] json_message = { 'command': 'patch', 'execution_id': exc.id, 'comment': 'pee is not a valid reason', 'inputs': [ { 'ref': 'requester.juan.0:exit_form.reason', 'value': 'am hungry', 'value_caption': 'am hungry', }, { 'ref': 'requester.juan.1:code_form.code', 'value': 'alakazam', 'value_caption': 'alakazam', }, ], 'user_identifier': 'juan', } assert args['exchange'] == '' assert args['routing_key'] == config['RABBIT_QUEUE'] body = json.loads(args['body']) assert body == json_message def test_list_processes(client): res = client.get('/v1/process') body = json.loads(res.data) exit_req = list(filter( lambda xml: xml['id'] == 'simple', body['data'] ))[0] assert res.status_code == 200 assert exit_req == { 'id': 'simple', 'version': '2018-02-19', 'author': 'categulario', 'date': '2018-02-19', 'name': 'Simplest process ever', 'description': 'A simple process that does nothing', 'versions': ['2018-02-19'], 'form_array': [ { 'ref': 'start_form', 'inputs': [ { 'type': 'text', 'name': 'data', 'required': True, 'label': 'Info', }, ], }, ], } def test_list_processes_multiple(client): res = client.get('/v1/process') body = json.loads(res.data) exit_req = list(filter( lambda xml: xml['id'] == 'form-multiple', body['data'] ))[0] assert res.status_code == 200 assert exit_req == { 'id': 'form-multiple', 'version': '2018-04-08', 'author': 'categulario', 'date': '2018-04-08', 'name': 'Con un formulario múltiple', 'description': 'Este proceso tiene un formulario que puede enviar muchas copias', 'versions': ['2018-04-08'], 'form_array': [ { 'ref': 'single_form', 'inputs': [ { 'type': 'text', 'name': 'name', 'required': True, 'label': 'Single Form', }, ], }, { 'ref': 'multiple_form', 'multiple': '1-10', 'inputs': [ { 'type': 'text', 'name': 'phone', 'required': True, 'label': 'Multi Form', }, ], }, ], } def test_read_process(client): res = client.get('/v1/process/oldest?version=2018-02-14') data = json.loads(res.data) assert res.status_code == 200 assert data['data']['name'] == 'Oldest process' assert data['data']['version'] == '2018-02-14' res = client.get('/v1/process/oldest') data = json.loads(res.data) assert res.status_code == 200 assert data['data']['name'] == 'Oldest process v2' assert data['data']['version'] == '2018-02-17' res = client.get('/v1/process/prueba') data = json.loads(res.data) assert res.status_code == 404 assert data['errors'][0]['detail'] == 'prueba process does not exist' def test_list_activities_requires(client): res = client.get('/v1/activity') assert res.status_code == 401 def test_list_activities(client): '''Given 4 activities, two for the current user and two for another, list only the two belonging to him or her''' juan = make_user('juan', 'Juan') Execution( process_name='simple.2018-02-19.xml', ).save() exc_2 = Execution( process_name='simple.2018-02-19.xml', ).save() exc_2.proxy.actors.add(juan) exc_2.save() res = client.get('/v1/activity', headers=make_auth(juan)) assert res.status_code == 200 assert json.loads(res.data) == { 'data': [ exc_2.to_json(include=['*', 'execution']), ], } def test_data_mix(mongo, client, config): # Create pointers ptr_01 = make_pointer('simple.2018-02-19.xml', 'mid_node') ptr_02 = make_pointer('simple.2018-02-19.xml', 'mid_node') ptr_03 = make_pointer('exit_request.2018-03-20.xml', 'requester') ptr_04 = make_pointer('validation.2018-05-09.xml', 'approval_node') ptr_01_json = ptr_01.to_json(include=['*', 'execution']) ptr_02_json = ptr_02.to_json(include=['*', 'execution']) ptr_03_json = ptr_03.to_json(include=['*', 'execution']) ptr_04_json = ptr_04.to_json(include=['*', 'execution']) # set started_at to ptrs ptr_01_json['started_at'] = '2018-04-01T21:45:00+00:00' ptr_02_json['started_at'] = '2018-04-01T21:46:00+00:00' ptr_03_json['started_at'] = '2018-04-01T21:47:00+00:00' ptr_04_json['started_at'] = '2018-04-01T21:48:00+00:00' # Pointer collection mongo[config["POINTER_COLLECTION"]].insert_many([ ptr_01_json.copy(), ptr_02_json.copy(), ptr_03_json.copy(), ptr_04_json.copy(), ]) # Create executions exec_01 = ptr_01.proxy.execution.get() exec_02 = ptr_02.proxy.execution.get() exec_03 = ptr_03.proxy.execution.get() exec_04 = ptr_04.proxy.execution.get() exec_01_json = exec_01.to_json() exec_02_json = exec_02.to_json() exec_03_json = exec_03.to_json() exec_04_json = exec_04.to_json() # set started_at to ptrs exec_01_json['started_at'] = '2018-04-01T21:45:00+00:00' exec_02_json['started_at'] = '2018-04-01T21:46:00+00:00' exec_03_json['started_at'] = '2018-04-01T21:47:00+00:00' exec_04_json['started_at'] = '2018-04-01T21:48:00+00:00' # Execution collection mongo[config["EXECUTION_COLLECTION"]].insert_many([ exec_01_json.copy(), exec_02_json.copy(), exec_03_json.copy(), exec_04_json.copy(), ]) # clean pointers ptr_01_json.pop('execution') ptr_02_json.pop('execution') ptr_03_json.pop('execution') ptr_04_json.pop('execution') # set pointers in executions exec_01_json['pointer'] = ptr_01_json exec_02_json['pointer'] = ptr_02_json exec_03_json['pointer'] = ptr_03_json exec_04_json['pointer'] = ptr_04_json res = client.get('/v1/inbox') ans = json.loads(res.data) assert res.status_code == 200 assert ans == { "data": [ exec_04_json, exec_03_json, exec_02_json, exec_01_json, ], } def test_data_mix_pagination(mongo, client, config): # Create pointers ptr_01 = make_pointer('simple.2018-02-19.xml', 'mid_node') ptr_02 = make_pointer('simple.2018-02-19.xml', 'mid_node') ptr_03 = make_pointer('exit_request.2018-03-20.xml', 'requester') ptr_04 = make_pointer('validation.2018-05-09.xml', 'approval_node') ptr_01_json = ptr_01.to_json(include=['*', 'execution']) ptr_02_json = ptr_02.to_json(include=['*', 'execution']) ptr_03_json = ptr_03.to_json(include=['*', 'execution']) ptr_04_json = ptr_04.to_json(include=['*', 'execution']) # set started_at to ptrs ptr_01_json['started_at'] = '2018-04-01T21:45:00+00:00' ptr_02_json['started_at'] = '2018-04-01T21:46:00+00:00' ptr_03_json['started_at'] = '2018-04-01T21:47:00+00:00' ptr_04_json['started_at'] = '2018-04-01T21:48:00+00:00' # Pointer collection mongo[config["POINTER_COLLECTION"]].insert_many([ ptr_01_json.copy(), ptr_02_json.copy(), ptr_03_json.copy(), ptr_04_json.copy(), ]) # Create executions exec_01 = ptr_01.proxy.execution.get() exec_02 = ptr_02.proxy.execution.get() exec_03 = ptr_03.proxy.execution.get() exec_04 = ptr_04.proxy.execution.get() exec_01_json = exec_01.to_json() exec_02_json = exec_02.to_json() exec_03_json = exec_03.to_json() exec_04_json = exec_04.to_json() # set started_at to ptrs exec_01_json['started_at'] = '2018-04-01T21:45:00+00:00' exec_02_json['started_at'] = '2018-04-01T21:46:00+00:00' exec_03_json['started_at'] = '2018-04-01T21:47:00+00:00' exec_04_json['started_at'] = '2018-04-01T21:48:00+00:00' # Execution collection mongo[config["EXECUTION_COLLECTION"]].insert_many([ exec_01_json.copy(), exec_02_json.copy(), exec_03_json.copy(), exec_04_json.copy(), ]) # clean pointers ptr_01_json.pop('execution') ptr_02_json.pop('execution') ptr_03_json.pop('execution') ptr_04_json.pop('execution') # set pointers in executions exec_01_json['pointer'] = ptr_01_json exec_02_json['pointer'] = ptr_02_json exec_03_json['pointer'] = ptr_03_json exec_04_json['pointer'] = ptr_04_json res = client.get('/v1/inbox?offset=1&limit=1') ans = json.loads(res.data) assert res.status_code == 200 assert ans == { "data": [ exec_03_json, ], } def test_data_mix_pointer_unique(mongo, client, config): # Create pointers ptr_01 = make_pointer('simple.2018-02-19.xml', 'mid_node') ptr_01_json = ptr_01.to_json(include=['*', 'execution']) # set started_at to ptrs ptr_01_json['started_at'] = '2018-04-01T21:45:00+00:00' # Pointer collection mongo[config["POINTER_COLLECTION"]].insert_many([ { 'started_at': '2010-08-21-01T21:45:00+00:00', 'execution': { 'id': ptr_01_json['execution']['id'], }, 'node': { 'id': 'final_node', }, 'process_id': 'simple.2018-02-19.xml', }, ptr_01_json.copy(), ]) # Create executions exec_01 = ptr_01.proxy.execution.get() exec_01_json = exec_01.to_json() # set started_at to ptrs exec_01_json['started_at'] = '2018-04-01T21:45:00+00:00' # Execution collection mongo[config["EXECUTION_COLLECTION"]].insert_many([ exec_01_json.copy(), ]) # clean pointers ptr_01_json.pop('execution') # set pointers in executions exec_01_json['pointer'] = ptr_01_json res = client.get('/v1/inbox') ans = json.loads(res.data) assert res.status_code == 200 assert ans == { "data": [ exec_01_json, ], } def test_data_mix_pointerless(mongo, client, config): # Create pointers ptr_01 = make_pointer('simple.2018-02-19.xml', 'mid_node') ptr_01_json = ptr_01.to_json(include=['*', 'execution']) # set started_at to ptrs ptr_01_json['started_at'] = '2018-04-01T21:45:00+00:00' # No pointers in collection # Create executions exec_01 = ptr_01.proxy.execution.get() exec_01_json = exec_01.to_json() # set started_at to ptrs exec_01_json['started_at'] = '2018-04-01T21:45:00+00:00' # Execution collection mongo[config["EXECUTION_COLLECTION"]].insert_many([ exec_01_json.copy(), ]) # clean pointers ptr_01_json.pop('execution') res = client.get('/v1/inbox') ans = json.loads(res.data) assert res.status_code == 200 assert ans == { "data": [ exec_01_json, ], } def test_data_mix_filter_sort(mongo, client, config): # Create pointers ptr_01 = make_pointer('simple.2018-02-19.xml', 'mid_node') ptr_02 = make_pointer('simple.2018-02-19.xml', 'mid_node') ptr_03 = make_pointer('exit_request.2018-03-20.xml', 'requester') ptr_04 = make_pointer('validation.2018-05-09.xml', 'approval_node') ptr_01_json = ptr_01.to_json(include=['*', 'execution']) ptr_02_json = ptr_02.to_json(include=['*', 'execution']) ptr_03_json = ptr_03.to_json(include=['*', 'execution']) ptr_04_json = ptr_04.to_json(include=['*', 'execution']) # set started_at to ptrs ptr_01_json['started_at'] = '2018-04-01T21:47:00+00:00' ptr_02_json['started_at'] = '2018-04-01T21:45:00+00:00' ptr_03_json['started_at'] = '2018-04-01T21:48:00+00:00' ptr_04_json['started_at'] = '2018-04-01T21:46:00+00:00' # Pointer collection mongo[config["POINTER_COLLECTION"]].insert_many([ ptr_01_json.copy(), ptr_02_json.copy(), ptr_03_json.copy(), ptr_04_json.copy(), ]) # Create executions exec_01 = ptr_01.proxy.execution.get() exec_02 = ptr_02.proxy.execution.get() exec_03 = ptr_03.proxy.execution.get() exec_04 = ptr_04.proxy.execution.get() exec_01_json = exec_01.to_json() exec_02_json = exec_02.to_json() exec_03_json = exec_03.to_json() exec_04_json = exec_04.to_json() # set started_at to ptrs exec_01_json['started_at'] = '2018-04-01T21:45:00+00:00' exec_02_json['started_at'] = '2018-04-01T21:46:00+00:00' exec_03_json['started_at'] = '2018-04-01T21:47:00+00:00' exec_04_json['started_at'] = '2018-04-01T21:48:00+00:00' # set started_at to ptrs exec_01_json['test_key'] = 'D' exec_02_json['test_key'] = 'A' exec_03_json['test_key'] = 'C' exec_04_json['test_key'] = 'B' # Execution collection mongo[config["EXECUTION_COLLECTION"]].insert_many([ exec_01_json.copy(), exec_02_json.copy(), exec_03_json.copy(), exec_04_json.copy(), ]) # clean pointers ptr_01_json.pop('execution') ptr_02_json.pop('execution') ptr_03_json.pop('execution') ptr_04_json.pop('execution') # set pointers in executions exec_01_json['pointer'] = ptr_01_json exec_02_json['pointer'] = ptr_02_json exec_03_json['pointer'] = ptr_03_json exec_04_json['pointer'] = ptr_04_json # simple sort res = client.get('/v1/inbox?sort=test_key') ans = json.loads(res.data) assert res.status_code == 200 assert ans == { "data": [ exec_02_json, exec_04_json, exec_03_json, exec_01_json, ], } # ascending res = client.get('/v1/inbox?sort=test_key,ASCENDING') ans = json.loads(res.data) assert res.status_code == 200 assert ans == { "data": [ exec_02_json, exec_04_json, exec_03_json, exec_01_json, ], } # descending res = client.get('/v1/inbox?sort=test_key,DESCENDING') ans = json.loads(res.data) assert res.status_code == 200 assert ans == { "data": [ exec_01_json, exec_03_json, exec_04_json, exec_02_json, ], } # pointer.started_at res = client.get('/v1/inbox?sort=pointer.started_at') ans = json.loads(res.data) assert res.status_code == 200 assert ans == { "data": [ exec_02_json, exec_04_json, exec_01_json, exec_03_json, ], } res = client.get('/v1/inbox?sort=pointer.started_at,DESCENDING') ans = json.loads(res.data) assert res.status_code == 200 assert ans == { "data": [ exec_03_json, exec_01_json, exec_04_json, exec_02_json, ], } # invalid order res = client.get('/v1/inbox?sort=test_key,RANDOM') ans = json.loads(res.data) assert res.status_code == 200 assert ans == { "data": [ exec_02_json, exec_04_json, exec_03_json, exec_01_json, ], } # invalid key res = client.get('/v1/inbox?sort') ans = json.loads(res.data) assert res.status_code == 200 assert ans == { "data": [ exec_04_json, exec_03_json, exec_02_json, exec_01_json, ], } def test_data_mix_filter_pointer_key(mongo, client, config): # Create pointers ptr_01 = make_pointer('simple.2018-02-19.xml', 'mid_node') ptr_02 = make_pointer('exit_request.2018-03-20.xml', 'requester') ptr_01_json = ptr_01.to_json(include=['*', 'execution']) ptr_02_json = ptr_02.to_json(include=['*', 'execution']) # set started_at to ptrs ptr_01_json['started_at'] = '2018-04-01T21:45:00+00:00' ptr_02_json['started_at'] = '2018-04-01T21:46:00+00:00' # Pointer collection mongo[config["POINTER_COLLECTION"]].insert_many([ ptr_01_json.copy(), ptr_02_json.copy(), ]) # Create executions exec_01 = ptr_01.proxy.execution.get() exec_02 = ptr_02.proxy.execution.get() exec_01_json = exec_01.to_json() exec_02_json = exec_02.to_json() # set started_at to ptrs exec_01_json['started_at'] = '2018-04-01T21:45:00+00:00' exec_02_json['started_at'] = '2018-04-01T21:46:00+00:00' # Execution collection mongo[config["EXECUTION_COLLECTION"]].insert_many([ exec_01_json.copy(), exec_02_json.copy(), ]) # clean pointers ptr_01_json.pop('execution') ptr_02_json.pop('execution') # set pointers in executions exec_01_json['pointer'] = ptr_01_json exec_02_json['pointer'] = ptr_02_json res = client.get('/v1/inbox?pointer.node_id=mid_node') ans = json.loads(res.data) assert res.status_code == 200 assert ans == { "data": [ exec_01_json, ], } def test_data_mix_filter_exclude_pointer_key(mongo, client, config): # Create pointers ptr_01 = make_pointer('simple.2018-02-19.xml', 'mid_node') ptr_02 = make_pointer('exit_request.2018-03-20.xml', 'requester') ptr_01_json = ptr_01.to_json(include=['*', 'execution']) ptr_02_json = ptr_02.to_json(include=['*', 'execution']) # set started_at to ptrs ptr_01_json['started_at'] = '2018-04-01T21:45:00+00:00' ptr_02_json['started_at'] = '2018-04-01T21:46:00+00:00' # Pointer collection mongo[config["POINTER_COLLECTION"]].insert_many([ ptr_01_json.copy(), ptr_02_json.copy(), ]) # Create executions exec_01 = ptr_01.proxy.execution.get() exec_02 = ptr_02.proxy.execution.get() exec_01_json = exec_01.to_json() exec_02_json = exec_02.to_json() # set started_at to ptrs exec_01_json['started_at'] = '2018-04-01T21:45:00+00:00' exec_02_json['started_at'] = '2018-04-01T21:46:00+00:00' # Execution collection mongo[config["EXECUTION_COLLECTION"]].insert_many([ exec_01_json.copy(), exec_02_json.copy(), ]) # clean pointers ptr_01_json.pop('execution') ptr_01_json.pop('node_id') ptr_02_json.pop('execution') ptr_02_json.pop('node_id') # set pointers in executions exec_01_json['pointer'] = ptr_01_json exec_02_json['pointer'] = ptr_02_json res = client.get('/v1/inbox?exclude=pointer.node_id') ans = json.loads(res.data) assert res.status_code == 200 assert ans == { "data": [ exec_02_json, exec_01_json, ], } def test_data_mix_filter_include_pointer_key(mongo, client, config): # Create pointers ptr_01 = make_pointer('simple.2018-02-19.xml', 'mid_node') ptr_02 = make_pointer('exit_request.2018-03-20.xml', 'requester') ptr_01_json = ptr_01.to_json(include=['*', 'execution']) ptr_02_json = ptr_02.to_json(include=['*', 'execution']) # set started_at to ptrs ptr_01_json['started_at'] = '2018-04-01T21:45:00+00:00' ptr_02_json['started_at'] = '2018-04-01T21:46:00+00:00' # Pointer collection mongo[config["POINTER_COLLECTION"]].insert_many([ ptr_01_json.copy(), ptr_02_json.copy(), ]) # Create executions exec_01 = ptr_01.proxy.execution.get() exec_02 = ptr_02.proxy.execution.get() exec_01_json = exec_01.to_json() exec_02_json = exec_02.to_json() # set started_at to ptrs exec_01_json['started_at'] = '2018-04-01T21:45:00+00:00' exec_02_json['started_at'] = '2018-04-01T21:46:00+00:00' # Execution collection mongo[config["EXECUTION_COLLECTION"]].insert_many([ exec_01_json.copy(), exec_02_json.copy(), ]) # clean pointers ptr_01_json = {'node_id': ptr_01_json.get('node_id')} ptr_02_json = {'node_id': ptr_02_json.get('node_id')} # set pointers in executions exec_01_json = {'pointer': ptr_01_json} exec_02_json = {'pointer': ptr_02_json} res = client.get('/v1/inbox?include=pointer.node_id') ans = json.loads(res.data) assert res.status_code == 200 assert ans == { "data": [ exec_02_json, exec_01_json, ], } def test_data_mix_filter_user_identifier(mongo, client, config): juan = make_user('user', 'User') # Create pointers ptr_01 = make_pointer('simple.2018-02-19.xml', 'mid_node') ptr_02 = make_pointer('simple.2018-02-19.xml', 'mid_node') ptr_03 = make_pointer('exit_request.2018-03-20.xml', 'requester') ptr_04 = make_pointer('validation.2018-05-09.xml', 'approval_node') # set some tasks to user juan.proxy.tasks.set([ptr_02]) ptr_01_json = ptr_01.to_json(include=['*', 'execution']) ptr_02_json = ptr_02.to_json(include=['*', 'execution']) ptr_03_json = ptr_03.to_json(include=['*', 'execution']) ptr_04_json = ptr_04.to_json(include=['*', 'execution']) # set started_at to ptrs ptr_01_json['started_at'] = '2018-04-01T21:45:00+00:00' ptr_02_json['started_at'] = '2018-04-01T21:46:00+00:00' ptr_03_json['started_at'] = '2018-04-01T21:47:00+00:00' ptr_04_json['started_at'] = '2018-04-01T21:48:00+00:00' # Pointer collection mongo[config["POINTER_COLLECTION"]].insert_many([ ptr_01_json.copy(), ptr_02_json.copy(), ptr_03_json.copy(), ptr_04_json.copy(), ]) # Create executions exec_01 = ptr_01.proxy.execution.get() exec_02 = ptr_02.proxy.execution.get() exec_03 = ptr_03.proxy.execution.get() exec_04 = ptr_04.proxy.execution.get() # set some activities to user juan.proxy.activities.set([exec_03]) exec_01_json = exec_01.to_json() exec_02_json = exec_02.to_json() exec_03_json = exec_03.to_json() exec_04_json = exec_04.to_json() # set started_at to ptrs exec_01_json['started_at'] = '2018-04-01T21:45:00+00:00' exec_02_json['started_at'] = '2018-04-01T21:46:00+00:00' exec_03_json['started_at'] = '2018-04-01T21:47:00+00:00' exec_04_json['started_at'] = '2018-04-01T21:48:00+00:00' # Execution collection mongo[config["EXECUTION_COLLECTION"]].insert_many([ exec_01_json.copy(), exec_02_json.copy(), exec_03_json.copy(), exec_04_json.copy(), ]) # clean pointers ptr_01_json.pop('execution') ptr_02_json.pop('execution') ptr_03_json.pop('execution') ptr_04_json.pop('execution') # set pointers in executions exec_01_json['pointer'] = ptr_01_json exec_02_json['pointer'] = ptr_02_json exec_03_json['pointer'] = ptr_03_json exec_04_json['pointer'] = ptr_04_json res = client.get(f'/v1/inbox?user_identifier={juan.identifier}') ans = json.loads(res.data) assert res.status_code == 200 assert ans == { "data": [ exec_03_json, exec_02_json, ], } # user not found res = client.get('/v1/inbox?user_identifier=not_an_user') ans = json.loads(res.data) assert res.status_code == 200 assert ans == { "data": [ ], } # aditional query res = client.get('/v1/inbox?user_identifier={}&process_name={}'.format( juan.identifier, 'simple.2018-02-19.xml', )) ans = json.loads(res.data) assert res.status_code == 200 assert ans == { "data": [ exec_02_json, ], } # aditional query fails res = client.get('/v1/inbox?user_identifier={}&process_name={}'.format( juan.identifier, 'not_a_process', )) ans = json.loads(res.data) assert res.status_code == 200 assert ans == { "data": [ ], } def test_data_mix_filter_user_identifier_executionless(mongo, client, config): juan = make_user('juan', 'Juan') jorge = make_user('jorge', 'Jorge') # Create pointers ptr_01 = make_pointer('simple.2018-02-19.xml', 'mid_node') ptr_02 = make_pointer('simple.2018-02-19.xml', 'mid_node') ptr_03 = make_pointer('exit_request.2018-03-20.xml', 'requester') ptr_04 = make_pointer('validation.2018-05-09.xml', 'approval_node') # set some tasks to user juan.proxy.tasks.set([ptr_02]) ptr_01_json = ptr_01.to_json(include=['*', 'execution']) ptr_02_json = ptr_02.to_json(include=['*', 'execution']) ptr_03_json = ptr_03.to_json(include=['*', 'execution']) ptr_04_json = ptr_04.to_json(include=['*', 'execution']) # set started_at to ptrs ptr_01_json['started_at'] = '2018-04-01T21:45:00+00:00' ptr_02_json['started_at'] = '2018-04-01T21:46:00+00:00' ptr_03_json['started_at'] = '2018-04-01T21:47:00+00:00' ptr_04_json['started_at'] = '2018-04-01T21:48:00+00:00' # Pointer collection mongo[config["POINTER_COLLECTION"]].insert_many([ ptr_01_json.copy(), ptr_02_json.copy(), ptr_03_json.copy(), ptr_04_json.copy(), ]) # Create executions exec_01 = ptr_01.proxy.execution.get() exec_02 = ptr_02.proxy.execution.get() exec_03 = ptr_03.proxy.execution.get() exec_04 = ptr_04.proxy.execution.get() # set some activities to user juan.proxy.activities.set([exec_03]) exec_01_json = exec_01.to_json() exec_02_json = exec_02.to_json() exec_03_json = exec_03.to_json() exec_04_json = exec_04.to_json() # set started_at to ptrs exec_01_json['started_at'] = '2018-04-01T21:45:00+00:00' exec_02_json['started_at'] = '2018-04-01T21:46:00+00:00' exec_03_json['started_at'] = '2018-04-01T21:47:00+00:00' exec_04_json['started_at'] = '2018-04-01T21:48:00+00:00' # Execution collection mongo[config["EXECUTION_COLLECTION"]].insert_many([ exec_01_json.copy(), exec_02_json.copy(), exec_03_json.copy(), exec_04_json.copy(), ]) # clean pointers ptr_01_json.pop('execution') ptr_02_json.pop('execution') ptr_03_json.pop('execution') ptr_04_json.pop('execution') # set pointers in executions exec_01_json['pointer'] = ptr_01_json exec_02_json['pointer'] = ptr_02_json exec_03_json['pointer'] = ptr_03_json exec_04_json['pointer'] = ptr_04_json # check if valid user user doesn't have inbox items res = client.get(f'/v1/inbox?user_identifier={jorge.identifier}') ans = json.loads(res.data) assert res.status_code == 200 assert ans == { "data": [], } def test_data_mix_filter_actor_identifier(mongo, client, config): # Create pointers ptr_01 = make_pointer('simple.2018-02-19.xml', 'mid_node') ptr_02 = make_pointer('simple.2018-02-19.xml', 'mid_node') ptr_03 = make_pointer('exit_request.2018-03-20.xml', 'requester') ptr_04 = make_pointer('validation.2018-05-09.xml', 'approval_node') ptr_01_json = ptr_01.to_json(include=['*', 'execution']) ptr_02_json = ptr_02.to_json(include=['*', 'execution']) ptr_03_json = ptr_03.to_json(include=['*', 'execution']) ptr_04_json = ptr_04.to_json(include=['*', 'execution']) # set started_at to ptrs ptr_01_json['started_at'] = '2018-04-01T21:45:00+00:00' ptr_02_json['started_at'] = '2018-04-01T21:46:00+00:00' ptr_03_json['started_at'] = '2018-04-01T21:47:00+00:00' ptr_04_json['started_at'] = '2018-04-01T21:48:00+00:00' # Pointer collection mongo[config["POINTER_COLLECTION"]].insert_many([ ptr_01_json.copy(), ptr_02_json.copy(), ptr_03_json.copy(), ptr_04_json.copy(), ]) # Create executions exec_01 = ptr_01.proxy.execution.get() exec_02 = ptr_02.proxy.execution.get() exec_03 = ptr_03.proxy.execution.get() exec_04 = ptr_04.proxy.execution.get() exec_01_json = exec_01.to_json() exec_02_json = exec_02.to_json() exec_03_json = exec_03.to_json() exec_04_json = exec_04.to_json() # set started_at to ptrs exec_01_json['started_at'] = '2018-04-01T21:45:00+00:00' exec_02_json['started_at'] = '2018-04-01T21:46:00+00:00' exec_03_json['started_at'] = '2018-04-01T21:47:00+00:00' exec_04_json['started_at'] = '2018-04-01T21:48:00+00:00' # add actors to executions exec_01_json['actors'] = { 'last_node': 'foo', 'mid_node': 'bar', 'first_node': 'zas', } exec_01_json['state'] = {'item_order': [ 'first_node', 'mid_node', 'last_node', ]} exec_02_json['actors'] = { 'first_node': 'mine', } exec_02_json['state'] = {'item_order': [ 'first_node', 'mid_node', 'last_node', ]} exec_03_json['actors'] = { 'mid_node': 'foo', } exec_03_json['state'] = {'item_order': [ 'first_node', 'mid_node', 'last_node', ]} # Execution collection mongo[config["EXECUTION_COLLECTION"]].insert_many([ exec_01_json.copy(), exec_02_json.copy(), exec_03_json.copy(), exec_04_json.copy(), ]) # clean pointers ptr_01_json.pop('execution') ptr_02_json.pop('execution') ptr_03_json.pop('execution') ptr_04_json.pop('execution') # set pointers in executions exec_01_json['pointer'] = ptr_01_json exec_02_json['pointer'] = ptr_02_json exec_03_json['pointer'] = ptr_03_json exec_04_json['pointer'] = ptr_04_json res = client.get('/v1/inbox?actor_identifier=foo') ans = json.loads(res.data) assert res.status_code == 200 assert ans == { "data": [ exec_03_json, exec_01_json, ], } # user not found res = client.get('/v1/inbox?actor_identifier=not_an_user') ans = json.loads(res.data) assert res.status_code == 200 assert ans == { "data": [ ], } # aditional query res = client.get( '/v1/inbox?actor_identifier=foo&process_name=simple.2018-02-19.xml') ans = json.loads(res.data) assert res.status_code == 200 assert ans == { "data": [ exec_01_json, ], } # aditional query fails res = client.get( '/v1/inbox?actor_identifier=zas&process_name=not_a_process') ans = json.loads(res.data) assert res.status_code == 200 assert ans == { "data": [ ], } def test_data_mix_filter_json(mongo, client, config): # Create pointers ptr_01 = make_pointer('simple.2018-02-19.xml', 'mid_node') ptr_02 = make_pointer('simple.2018-02-19.xml', 'mid_node') ptr_03 = make_pointer('exit_request.2018-03-20.xml', 'requester') ptr_04 = make_pointer('validation.2018-05-09.xml', 'approval_node') ptr_01_json = ptr_01.to_json(include=['*', 'execution']) ptr_02_json = ptr_02.to_json(include=['*', 'execution']) ptr_03_json = ptr_03.to_json(include=['*', 'execution']) ptr_04_json = ptr_04.to_json(include=['*', 'execution']) # set started_at to ptrs ptr_01_json['started_at'] = '2018-04-01T21:45:00+00:00' ptr_02_json['started_at'] = '2018-04-01T21:46:00+00:00' ptr_03_json['started_at'] = '2018-04-01T21:47:00+00:00' ptr_04_json['started_at'] = '2018-04-01T21:48:00+00:00' # Pointer collection mongo[config["POINTER_COLLECTION"]].insert_many([ ptr_01_json.copy(), ptr_02_json.copy(), ptr_03_json.copy(), ptr_04_json.copy(), ]) # Create executions exec_01 = ptr_01.proxy.execution.get() exec_02 = ptr_02.proxy.execution.get() exec_03 = ptr_03.proxy.execution.get() exec_04 = ptr_04.proxy.execution.get() exec_01_json = exec_01.to_json() exec_02_json = exec_02.to_json() exec_03_json = exec_03.to_json() exec_04_json = exec_04.to_json() # set started_at to ptrs exec_01_json['started_at'] = '2018-04-01T21:45:00+00:00' exec_02_json['started_at'] = '2018-04-01T21:46:00+00:00' exec_03_json['started_at'] = '2018-04-01T21:47:00+00:00' exec_04_json['started_at'] = '2018-04-01T21:48:00+00:00' # Execution collection mongo[config["EXECUTION_COLLECTION"]].insert_many([ exec_01_json.copy(), exec_02_json.copy(), exec_03_json.copy(), exec_04_json.copy(), ]) # clean pointers ptr_01_json.pop('execution') ptr_02_json.pop('execution') ptr_03_json.pop('execution') ptr_04_json.pop('execution') # set pointers in executions exec_01_json['pointer'] = ptr_01_json exec_02_json['pointer'] = ptr_02_json exec_03_json['pointer'] = ptr_03_json exec_04_json['pointer'] = ptr_04_json json_string = json.dumps({ '$in': [ 'simple.2018-02-19.xml', 'validation.2018-05-09.xml', ], }) json_url_format = urllib.parse.quote(json_string) res = client.get(f'/v1/inbox?process_name={json_url_format}') ans = json.loads(res.data) assert res.status_code == 200 assert ans == { "data": [ exec_04_json, exec_02_json, exec_01_json, ], } def test_data_mix_filter_include(mongo, client, config): juan = make_user('user', 'User') # Create pointers ptr_01 = make_pointer('simple.2018-02-19.xml', 'mid_node') juan.proxy.tasks.set([ptr_01]) ptr_01_json = ptr_01.to_json(include=['*', 'execution']) # set started_at to ptrs ptr_01_json['started_at'] = '2018-04-01T21:45:00+00:00' # Pointer collection mongo[config["POINTER_COLLECTION"]].insert_many([ ptr_01_json.copy(), ]) # Create executions exec_01 = ptr_01.proxy.execution.get() juan.proxy.activities.set([exec_01]) exec_01_json = exec_01.to_json() # set started_at to ptrs exec_01_json['started_at'] = '2018-04-01T21:45:00+00:00' # Execution collection mongo[config["EXECUTION_COLLECTION"]].insert_many([ exec_01_json.copy(), ]) # clean pointers ptr_01_json.pop('execution') # set pointers in executions exec_01_json['pointer'] = ptr_01_json # include keys exec_01_json = { item: exec_01_json[item] for item in ['name', 'process_name'] } res = client.get('/v1/inbox?include=name,process_name') ans = json.loads(res.data) assert res.status_code == 200 assert ans == { "data": [ exec_01_json, ], } def test_data_mix_filter_exclude(mongo, client, config): juan = make_user('user', 'User') # Create pointers ptr_01 = make_pointer('simple.2018-02-19.xml', 'mid_node') juan.proxy.tasks.set([ptr_01]) ptr_01_json = ptr_01.to_json(include=['*', 'execution']) # set started_at to ptrs ptr_01_json['started_at'] = '2018-04-01T21:45:00+00:00' # Pointer collection mongo[config["POINTER_COLLECTION"]].insert_many([ ptr_01_json.copy(), ]) # Create executions exec_01 = ptr_01.proxy.execution.get() juan.proxy.activities.set([exec_01]) exec_01_json = exec_01.to_json() # set started_at to ptrs exec_01_json['started_at'] = '2018-04-01T21:45:00+00:00' # Execution collection mongo[config["EXECUTION_COLLECTION"]].insert_many([ exec_01_json.copy(), ]) # clean pointers ptr_01_json.pop('execution') # set pointers in executions exec_01_json['pointer'] = ptr_01_json # exclude keys exec_01_json.pop('name') exec_01_json.pop('process_name') res = client.get('/v1/inbox?exclude=name,process_name') ans = json.loads(res.data) assert res.status_code == 200 assert ans == { "data": [ exec_01_json, ], } def test_data_mix_filter_include_exlcude(mongo, client, config): juan = make_user('user', 'User') # Create pointers ptr_01 = make_pointer('simple.2018-02-19.xml', 'mid_node') juan.proxy.tasks.set([ptr_01]) ptr_01_json = ptr_01.to_json(include=['*', 'execution']) # set started_at to ptrs ptr_01_json['started_at'] = '2018-04-01T21:45:00+00:00' # Pointer collection mongo[config["POINTER_COLLECTION"]].insert_many([ ptr_01_json.copy(), ]) # Create executions exec_01 = ptr_01.proxy.execution.get() juan.proxy.activities.set([exec_01]) exec_01_json = exec_01.to_json() # set started_at to ptrs exec_01_json['started_at'] = '2018-04-01T21:45:00+00:00' # Execution collection mongo[config["EXECUTION_COLLECTION"]].insert_many([ exec_01_json.copy(), ]) # clean pointers ptr_01_json.pop('execution') # set pointers in executions exec_01_json['pointer'] = ptr_01_json # include keys exec_01_json = { item: exec_01_json[item] for item in ['name', 'process_name'] } res = client.get('/v1/inbox?include=name,process_name&exclude=name') ans = json.loads(res.data) assert res.status_code == 200 assert ans == { "data": [ exec_01_json, ], } def test_logs_all(mongo, client, config): mongo[config["POINTER_COLLECTION"]].insert_many([ { 'started_at': datetime(2018, 4, 1, 21, 45), 'finished_at': None, 'execution': { 'id': EXECUTION_ID, }, 'node': { 'id': 'first_node', }, }, { 'started_at': datetime(2018, 4, 1, 21, 46), 'finished_at': None, 'execution': { 'id': EXECUTION_ID, }, 'node': { 'id': 'mid_node', }, }, { 'started_at': datetime(2018, 4, 1, 21, 45), 'finished_at': None, 'execution': { 'id': 'xxxxffff', }, 'node': { 'id': 'mid_node', }, }, { 'started_at': datetime(2018, 4, 1, 21, 44), 'finished_at': None, 'execution': { 'id': EXECUTION_ID, }, 'node': { 'id': 'another_node', }, }, ]) res = client.get('/v1/log') ans = json.loads(res.data) assert res.status_code == 200 assert ans == { "data": [ { 'started_at': '2018-04-01T21:46:00+00:00', 'finished_at': None, 'execution': { 'id': EXECUTION_ID, }, 'node': { 'id': 'mid_node', }, }, { 'started_at': '2018-04-01T21:45:00+00:00', 'finished_at': None, 'execution': { 'id': 'xxxxffff', }, 'node': { 'id': 'mid_node', }, }, ], } def test_logs_filter_user(mongo, client, config): juan = make_user('user', 'User') ptr_01 = make_pointer('simple.2018-02-19.xml', 'mid_node') ptr_02 = make_pointer('simple.2018-02-19.xml', 'mid_node') ptr_03 = make_pointer('exit_request.2018-03-20.xml', 'requester') ptr_04 = make_pointer('validation.2018-05-09.xml', 'approval_node') juan.proxy.tasks.set([ptr_01, ptr_02, ptr_04]) ptr_01_json = ptr_01.to_json(include=['*', 'execution']) ptr_02_json = ptr_02.to_json(include=['*', 'execution']) ptr_03_json = ptr_03.to_json(include=['*', 'execution']) ptr_04_json = ptr_04.to_json(include=['*', 'execution']) # set started_at to ptrs ptr_01_json['started_at'] = '2018-04-01T21:45:00+00:00' ptr_02_json['started_at'] = '2018-04-01T21:46:00+00:00' ptr_04_json['started_at'] = '2018-04-01T21:48:00+00:00' mongo[config["POINTER_COLLECTION"]].insert_many([ ptr_01_json.copy(), ptr_02_json.copy(), ptr_03_json.copy(), ptr_04_json.copy(), ]) res = client.get('/v1/log?user_identifier={}'.format(juan.identifier)) ans = json.loads(res.data) assert res.status_code == 200 assert ans == { "data": [ ptr_04_json, ptr_02_json, ptr_01_json, ], } def test_logs_filter_user_invalid(mongo, client, config): ptr_01 = make_pointer('simple.2018-02-19.xml', 'mid_node') ptr_02 = make_pointer('simple.2018-02-19.xml', 'mid_node') ptr_03 = make_pointer('exit_request.2018-03-20.xml', 'requester') ptr_04 = make_pointer('validation.2018-05-09.xml', 'approval_node') mongo[config["POINTER_COLLECTION"]].insert_many([ ptr_01.to_json(include=['*', 'execution']), ptr_02.to_json(include=['*', 'execution']), ptr_03.to_json(include=['*', 'execution']), ptr_04.to_json(include=['*', 'execution']), ]) res = client.get('/v1/log?user_identifier=foo') ans = json.loads(res.data) assert res.status_code == 200 assert ans == { "data": [], } def test_logs_filter_key_valid(mongo, client, config): mongo[config["POINTER_COLLECTION"]].insert_one({ 'started_at': datetime(2018, 4, 1, 21, 45), 'finished_at': None, 'execution': { 'id': EXECUTION_ID, }, 'node': { 'id': 'mid_node', }, 'one_key': 'foo', }) mongo[config["POINTER_COLLECTION"]].insert_one({ 'started_at': datetime(2018, 4, 1, 21, 50), 'finished_at': None, 'execution': { 'id': EXECUTION_ID, }, 'node': { 'id': '4g9lOdPKmRUf2', }, 'one_key': 'bar', }) res = client.get('/v1/log?one_key=foo') ans = json.loads(res.data) assert res.status_code == 200 assert ans == { "data": [ { 'started_at': '2018-04-01T21:45:00+00:00', 'finished_at': None, 'execution': { 'id': EXECUTION_ID, }, 'node': { 'id': 'mid_node', }, 'one_key': 'foo', }, ], } def test_logs_filter_key_invalid(mongo, client, config): mongo[config["POINTER_COLLECTION"]].insert_one({ 'started_at': datetime(2018, 4, 1, 21, 45), 'finished_at': None, 'execution': { 'id': EXECUTION_ID, }, 'node': { 'id': 'mid_node', }, }) res = client.get('/v1/log?limit=foo') ans = json.loads(res.data) assert res.status_code == 200 assert ans == { "data": [ { 'started_at': '2018-04-01T21:45:00+00:00', 'finished_at': None, 'execution': { 'id': EXECUTION_ID, }, 'node': { 'id': 'mid_node', }, }, ], } def test_logs_filter_value_invalid(mongo, client, config): mongo[config["POINTER_COLLECTION"]].insert_one({ 'started_at': datetime(2018, 4, 1, 21, 45), 'finished_at': None, 'execution': { 'id': EXECUTION_ID, }, 'node': { 'id': 'mid_node', }, 'one_key': 'bar', }) res = client.get('/v1/log?one_key=foo') ans = json.loads(res.data) assert res.status_code == 200 assert ans == { "data": [], } def test_logs_activity(mongo, client, config): mongo[config["POINTER_COLLECTION"]].insert_one({ 'started_at': datetime(2018, 4, 1, 21, 45), 'finished_at': None, 'execution': { 'id': EXECUTION_ID, }, 'node': { 'id': 'mid_node', }, }) mongo[config["POINTER_COLLECTION"]].insert_one({ 'started_at': datetime(2018, 4, 1, 21, 50), 'finished_at': None, 'execution': { 'id': EXECUTION_ID, }, 'node': { 'id': '4g9lOdPKmRUf2', }, }) res = client.get('/v1/log/{}?node_id=mid_node'.format(EXECUTION_ID)) ans = json.loads(res.data) assert res.status_code == 200 assert ans == { "data": [{ 'started_at': '2018-04-01T21:45:00+00:00', 'finished_at': None, 'execution': { 'id': EXECUTION_ID, }, 'node': { 'id': 'mid_node', }, }], } def test_task_list_requires_auth(client): res = client.get('/v1/task') assert res.status_code == 401 assert json.loads(res.data) == { 'errors': [{ 'detail': 'You must provide basic authorization headers', 'where': 'request.authorization', }], } def test_task_list(client): juan = make_user('user', 'User') pointer = make_pointer('simple.2018-02-19.xml', 'mid_node') juan.proxy.tasks.set([pointer]) res = client.get('/v1/task', headers=make_auth(juan)) assert res.status_code == 200 assert json.loads(res.data) == { 'data': [pointer.to_json(include=['*', 'execution'])], } def test_task_read_requires(client): # auth res = client.get('/v1/task/foo') assert res.status_code == 401 # real pointer juan = make_user('juan', 'Juan') res = client.get('/v1/task/foo', headers=make_auth(juan)) assert res.status_code == 404 # assigned task ptr = make_pointer('simple.2018-02-19.xml', 'mid_node') juan = make_user('juan', 'Juan') res = client.get('/v1/task/{}'.format(ptr.id), headers=make_auth(juan)) assert res.status_code == 403 def test_task_read(client, config, mongo): ptr = make_pointer('simple.2018-02-19.xml', 'mid_node') juan = make_user('juan', 'Juan') juan.proxy.tasks.set([ptr]) execution = ptr.proxy.execution.get() execution.started_at = make_date(2020, 8, 21, 4, 5, 6) execution.status = 'ongoing' execution.save() state = Xml.load(config, execution.process_name).get_state() mongo[config["EXECUTION_COLLECTION"]].insert_one({ '_type': 'execution', 'id': execution.id, 'state': state, }) res = client.get('/v1/task/{}'.format(ptr.id), headers=make_auth(juan)) assert res.status_code == 200 assert json.loads(res.data) == { 'data': { '_type': 'pointer', 'id': ptr.id, 'node_id': ptr.node_id, 'node_type': 'action', 'name': None, 'description': None, 'execution': { '_type': 'execution', 'id': execution.id, 'process_name': execution.process_name, 'name': None, 'name_template': '', 'description': None, 'description_template': '', 'started_at': '2020-08-21T04:05:06Z', 'finished_at': None, 'status': 'ongoing', }, 'form_array': [ { 'ref': 'mid_form', 'inputs': [ { 'name': 'data', 'required': True, 'type': 'text', 'label': 'data', }, ], }, ], }, } def test_task_validation(client, mongo, config): ptr = make_pointer('validation.2018-05-09.xml', 'approval_node') juan = make_user('juan', 'Juan') juan.proxy.tasks.add(ptr) execution = ptr.proxy.execution.get() state = Xml.load(config, execution.process_name).get_state() node = state['items']['start_node'] node['state'] = 'valid' node['actors']['items']['juan'] = { '_type': 'actor', 'state': 'valid', 'user': { '_type': 'user', 'identifier': 'juan', 'fullname': None, }, 'forms': [Form.state_json('work', [ { '_type': 'field', 'state': 'valid', 'label': 'task', 'name': 'task', 'value': 'Get some milk and eggs', }, ])], } mongo[config["EXECUTION_COLLECTION"]].insert_one({ '_type': 'execution', 'id': execution.id, 'state': state, }) res = client.get('/v1/task/{}'.format(ptr.id), headers=make_auth(juan)) body = json.loads(res.data)['data'] assert res.status_code == 200 assert body == { '_type': 'pointer', 'description': None, 'execution': { '_type': 'execution', 'description': None, 'description_template': '', 'id': execution.id, 'name': None, 'name_template': '', 'process_name': execution.process_name, 'started_at': None, 'finished_at': None, 'status': None, }, 'fields': [ { '_type': 'field', 'ref': 'start_node.juan.0:work.task', 'label': 'task', 'name': 'task', 'value': 'Get some milk and eggs', } ], 'form_array': [], 'id': ptr.id, 'name': None, 'node_id': ptr.node_id, 'node_type': 'validation' } def test_task_with_prev_work(client, config, mongo): ptr = make_pointer('validation-multiform.2018-05-22.xml', 'start_node') juan = make_user('juan', 'Juan') juan.proxy.tasks.add(ptr) execution = ptr.proxy.execution.get() state = Xml.load(config, execution.process_name).get_state() node = state['items']['start_node'] prev_work = [Form.state_json('set', [ {'_type': 'field', 'name': 'A', 'value': 'a1', 'state': 'valid'}, {'_type': 'field', 'name': 'B', 'value': 'b1', 'state': 'valid'}, {'_type': 'field', 'name': 'C', 'value': 'c1', 'state': 'invalid'}, {'_type': 'field', 'name': 'D', 'value': 'd1', 'state': 'valid'}, ]), Form.state_json('set', [ {'_type': 'field', 'name': 'A', 'value': 'a2', 'state': 'valid'}, {'_type': 'field', 'name': 'B', 'value': 'b2', 'state': 'valid'}, {'_type': 'field', 'name': 'C', 'value': 'c2', 'state': 'valid'}, {'_type': 'field', 'name': 'D', 'value': 'd2', 'state': 'valid'}, ])] node['state'] = 'valid' node['actors']['items']['juan'] = { '_type': 'actor', 'state': 'valid', 'user': { '_type': 'user', 'identifier': 'juan', 'fullname': None, }, 'forms': prev_work, } mongo[config["EXECUTION_COLLECTION"]].insert_one({ '_type': 'execution', 'id': execution.id, 'state': state, }) res = client.get('/v1/task/{}'.format(ptr.id), headers=make_auth(juan)) body = json.loads(res.data)['data'] assert res.status_code == 200 assert body == { '_type': 'pointer', 'description': None, 'execution': { '_type': 'execution', 'description': None, 'description_template': '', 'id': execution.id, 'name': None, 'name_template': '', 'process_name': execution.process_name, 'started_at': None, 'finished_at': None, 'status': None, }, 'form_array': [{ 'inputs': [ {'label': 'Value A', 'name': 'A', 'type': 'text'}, {'label': 'Value B', 'name': 'B', 'type': 'text'}, {'label': 'Value C', 'name': 'C', 'type': 'text'}, {'label': 'Value D', 'name': 'D', 'type': 'text'} ], 'multiple': '1-5', 'ref': 'set' }], 'id': ptr.id, 'name': None, 'node_id': ptr.node_id, 'node_type': 'action', 'prev_work': node['actors']['items']['juan']['forms'], } def test_execution_has_node_info(client): juan = make_user('juan', 'Juan') res = client.post('/v1/execution', headers={**{ 'Content-Type': 'application/json', }, **make_auth(juan)}, data=json.dumps({ 'process_name': 'simple', 'form_array': [ { 'ref': 'start_form', 'data': { 'data': 'yes', }, }, ], })) assert res.status_code == 201 exe = Execution.get_all()[0] ptr = Pointer.get_all()[0] assert exe.name == 'Simplest process ever started with: yes' assert exe.description == 'A simple process that does nothing' assert ptr.name == 'Primer paso' assert ptr.description == 'Resolver una tarea' def test_log_has_node_info(client): juan = make_user('juan', 'Juan') res = client.post('/v1/execution', headers={**{ 'Content-Type': 'application/json', }, **make_auth(juan)}, data=json.dumps({ 'process_name': 'simple', 'form_array': [ { 'ref': 'start_form', 'data': { 'data': 'yes', }, }, ], })) assert res.status_code == 201 body = json.loads(res.data) execution_id = body['data']['id'] res = client.get('/v1/log/{}'.format(execution_id)) body = json.loads(res.data) data = body['data'][0] assert data['node']['id'] == 'start_node' assert data['node']['name'] == 'Primer paso' assert data['node']['description'] == 'Resolver una tarea' assert data['execution']['id'] == execution_id assert data['execution']['name'] == \ 'Simplest process ever started with: yes' assert data['execution']['description'] == \ 'A simple process that does nothing' def test_delete_process(config, client, mongo, mocker): mocker.patch( 'pika.adapters.blocking_connection.' 'BlockingChannel.basic_publish' ) p_0 = make_pointer('simple.2018-02-19.xml', 'mid_node') execution = p_0.proxy.execution.get() juan = make_user('juan', 'Juan') res = client.delete( '/v1/execution/{}'.format(execution.id), headers=make_auth(juan) ) assert res.status_code == 202 pika.adapters.blocking_connection.BlockingChannel.\ basic_publish.assert_called_once() args = pika.adapters.blocking_connection.BlockingChannel.\ basic_publish.call_args[1] assert args['exchange'] == '' assert args['routing_key'] == config['RABBIT_QUEUE'] assert json.loads(args['body']) == { 'execution_id': execution.id, 'command': 'cancel', } def test_status_notfound(client): res = client.get('/v1/execution/doo') assert res.status_code == 404 def test_status(config, client, mongo): ptr = make_pointer('simple.2018-02-19.xml', 'mid_node') execution = ptr.proxy.execution.get() mongo[config['EXECUTION_COLLECTION']].insert_one({ 'id': execution.id, }) res = client.get('/v1/execution/{}'.format(execution.id)) assert res.status_code == 200 assert json.loads(res.data) == { 'data': { 'id': execution.id, }, } def test_execution_list(client, mongo, config): mongo[config["EXECUTION_COLLECTION"]].insert_one({ 'status': 'ongoing', }) res = client.get('/v1/execution') data = json.loads(res.data) assert res.status_code == 200 assert data == { 'total_count': 1, 'data': [{ 'status': 'ongoing', }], } def test_execution_filter_key_valid(client, mongo, config): mongo[config["EXECUTION_COLLECTION"]].insert_many([ { 'id': 1, 'one_key': 'foo', }, { 'id': 2, 'another_key': 'var', }, { 'id': 3, 'one_key': 'foo', }, { 'id': 4, 'one_key': 'zas', }, ]) res = client.get('/v1/execution?one_key=foo') data = json.loads(res.data) assert res.status_code == 200 assert data == { 'total_count': 2, 'data': [ { 'id': 1, 'one_key': 'foo', }, { 'id': 3, 'one_key': 'foo', } ], } def test_execution_filter_key_invalid(client, mongo, config): mongo[config["EXECUTION_COLLECTION"]].insert_many([ { 'id': 1, 'limit': 'bar', }, ]) res = client.get('/v1/execution?limit=foo') data = json.loads(res.data) assert res.status_code == 200 assert data == { 'total_count': 1, 'data': [ { 'id': 1, 'limit': 'bar', }, ], } def test_execution_filter_user(mongo, client, config): juan = make_user('user', 'User') ptr_01 = make_pointer('simple.2018-02-19.xml', 'mid_node') ptr_02 = make_pointer('simple.2018-02-19.xml', 'mid_node') ptr_03 = make_pointer('exit_request.2018-03-20.xml', 'requester') ptr_04 = make_pointer('validation.2018-05-09.xml', 'approval_node') exec_01 = ptr_01.proxy.execution.get() exec_02 = ptr_02.proxy.execution.get() exec_03 = ptr_03.proxy.execution.get() exec_04 = ptr_04.proxy.execution.get() juan.proxy.activities.set([exec_01, exec_02, exec_04]) exec_01_json = exec_01.to_json() exec_02_json = exec_02.to_json() exec_03_json = exec_03.to_json() exec_04_json = exec_04.to_json() # set started_at to ptrs exec_01_json['started_at'] = '2018-04-01T21:45:00+00:00' exec_02_json['started_at'] = '2018-04-01T21:46:00+00:00' exec_04_json['started_at'] = '2018-04-01T21:48:00+00:00' mongo[config["EXECUTION_COLLECTION"]].insert_many([ exec_01_json.copy(), exec_02_json.copy(), exec_03_json.copy(), exec_04_json.copy(), ]) res = client.get(f'/v1/execution?user_identifier={juan.identifier}') ans = json.loads(res.data) assert res.status_code == 200 assert ans == { 'total_count': 3, "data": [ exec_04_json, exec_02_json, exec_01_json, ], } def test_execution_filter_value_invalid(client, mongo, config): res = client.get('/v1/execution?one_key=foo') data = json.loads(res.data) assert res.status_code == 200 assert data == { 'total_count': 0, 'data': [], } def test_add_user(client, mocker, config, mongo): # variables: users juan = make_user('juan', 'Juan') luis = make_user('luis', 'Luis') # variables: pointer and execution ptr = make_pointer('validation.2018-05-09.xml', 'approval_node') exc = ptr.proxy.execution.get() mongo[config["EXECUTION_COLLECTION"]].insert_one({ '_type': 'execution', 'id': exc.id, 'state': Xml.load(config, exc.process_name, direct=True).get_state(), }) mongo[config["POINTER_COLLECTION"]].insert_one({ 'id': ptr.id, 'node': { 'id': ptr.node_id, }, 'notified_users': [], 'execution': exc.to_json(), 'state': 'ongoing', }) # user has no task assigned assert luis.proxy.tasks.count() == 0 # add the user res = client.post( '/v1/execution/{}/user'.format(exc.id), headers={ **{'Content-Type': 'application/json'}, **make_auth(juan)}, data=json.dumps({ 'identifier': 'luis', 'node_id': 'approval_node', }) ) # successful post assert res.status_code == 200 # user has one task assigned assert luis.proxy.tasks.count() == 1 # test notified_users (log) res = client.get( '/v1/log/{}'.format(exc.id), ) notified_users = json.loads(res.data)['data'][0]['notified_users'] assert res.status_code == 200 assert notified_users == [luis.to_json()] def test_add_user_new(client, mocker, config, mongo): # variables: users juan = make_user('juan', 'Juan') luis = make_user('luis', 'Luis') beto = make_user('beto', 'Beto') # variables: pointer and execution ptr = make_pointer('validation.2018-05-09.xml', 'approval_node') exc = ptr.proxy.execution.get() mongo[config["EXECUTION_COLLECTION"]].insert_one({ '_type': 'execution', 'id': exc.id, 'state': Xml.load(config, exc.process_name, direct=True).get_state(), }) mongo[config["POINTER_COLLECTION"]].insert_one({ 'id': ptr.id, 'node': { 'id': ptr.node_id, }, 'notified_users': [], 'execution': exc.to_json(), 'state': 'ongoing', }) # user has no task assigned assert luis.proxy.tasks.count() == 0 assert beto.proxy.tasks.count() == 0 # add the user res = client.post( '/v1/execution/{}/user'.format(exc.id), headers={ **{'Content-Type': 'application/json'}, **make_auth(juan)}, data=json.dumps({ 'identifier': 'luis', 'node_id': 'approval_node', }) ) # successful post assert res.status_code == 200 # user has one task assigned assert luis.proxy.tasks.count() == 1 # test notified_users (log) res = client.get( '/v1/log/{}'.format(exc.id), ) notified_users = json.loads(res.data)['data'][0]['notified_users'] assert res.status_code == 200 assert notified_users == [luis.to_json()] # add the second user res = client.post( '/v1/execution/{}/user'.format(exc.id), headers={ **{'Content-Type': 'application/json'}, **make_auth(juan)}, data=json.dumps({ 'identifier': 'beto', 'node_id': 'approval_node', }) ) # successful post assert res.status_code == 200 # user has one task assigned assert beto.proxy.tasks.count() == 1 # test notified_users (log) res = client.get( '/v1/log/{}'.format(exc.id), ) notified_users = json.loads(res.data)['data'][0]['notified_users'] assert res.status_code == 200 assert notified_users == [luis.to_json(), beto.to_json()] def test_add_user_duplicate(client, mocker, config, mongo): # variables: users juan = make_user('juan', 'Juan') luis = make_user('luis', 'Luis') # variables: pointer and execution ptr = make_pointer('validation.2018-05-09.xml', 'approval_node') exc = ptr.proxy.execution.get() mongo[config["EXECUTION_COLLECTION"]].insert_one({ '_type': 'execution', 'id': exc.id, 'state': Xml.load(config, exc.process_name, direct=True).get_state(), }) mongo[config["POINTER_COLLECTION"]].insert_one({ 'id': ptr.id, 'node': { 'id': ptr.node_id, }, 'notified_users': [], 'execution': exc.to_json(), 'state': 'ongoing', }) # user has no task assigned assert luis.proxy.tasks.count() == 0 # add the user res = client.post( '/v1/execution/{}/user'.format(exc.id), headers={ **{'Content-Type': 'application/json'}, **make_auth(juan)}, data=json.dumps({ 'identifier': 'luis', 'node_id': 'approval_node', }) ) # successful post assert res.status_code == 200 # user has one task assigned assert luis.proxy.tasks.count() == 1 # test notified_users (log) res = client.get( '/v1/log/{}'.format(exc.id), ) notified_users = json.loads(res.data)['data'][0]['notified_users'] assert res.status_code == 200 assert notified_users == [luis.to_json()] # add the second user res = client.post( '/v1/execution/{}/user'.format(exc.id), headers={ **{'Content-Type': 'application/json'}, **make_auth(juan)}, data=json.dumps({ 'identifier': 'luis', 'node_id': 'approval_node', }) ) # successful post assert res.status_code == 200 # user has one task assigned assert luis.proxy.tasks.count() == 1 # test notified_users (log) res = client.get( '/v1/log/{}'.format(exc.id), ) notified_users = json.loads(res.data)['data'][0]['notified_users'] assert res.status_code == 200 assert notified_users == [luis.to_json()] def test_add_user_requirements_id(client, mocker, config, mongo): juan = make_user('juan', 'Juan') ptr = make_pointer('validation.2018-05-09.xml', 'approval_node') exc = ptr.proxy.execution.get() mongo[config["EXECUTION_COLLECTION"]].insert_one({ '_type': 'execution', 'id': exc.id, 'state': Xml.load(config, exc.process_name, direct=True).get_state(), }) # try add the user res = client.post( '/v1/execution/{}/user'.format(exc.id), headers={ **{'Content-Type': 'application/json'}, **make_auth(juan)}, data=json.dumps({ 'identifier': 'luis', 'node_id': 'approval_node', }) ) # post requires valid user id assert res.status_code == 400 def test_add_user_requirements_node(client, mocker, config, mongo): juan = make_user('juan', 'Juan') make_user('luis', 'Luis') ptr = make_pointer('validation.2018-05-09.xml', 'approval_node') exc = ptr.proxy.execution.get() mongo[config["EXECUTION_COLLECTION"]].insert_one({ '_type': 'execution', 'id': exc.id, 'state': Xml.load(config, exc.process_name, direct=True).get_state(), }) # try add the user res = client.post( '/v1/execution/{}/user'.format(exc.id), headers={ **{'Content-Type': 'application/json'}, **make_auth(juan)}, data=json.dumps({ 'identifier': 'luis', 'node_id': 'final_node', }) ) # post requires valid living node assert res.status_code == 400 def test_start_process_error_405(client, mongo, config): juan = make_user('juan', 'Juan') res = client.put('/v1/execution', headers={**{ 'Content-Type': 'application/json', }, **make_auth(juan)}, data='{}') data = json.loads(res.data) assert res.status_code == 405 assert data['errors'][0]['detail'] == \ "The method is not allowed for the requested URL." def test_node_statistics(client, mongo, config): def make_node_reg(process_id, node_id, started_at, finished_at): return { 'started_at': started_at, 'finished_at': finished_at, 'execution': { 'id': EXECUTION_ID, }, 'node': { 'id': node_id, }, 'process_id': process_id } mongo[config["POINTER_COLLECTION"]].insert_many([ make_node_reg( 'simple.2018-02-19', 'test1', make_date(), make_date(2018, 5, 10, 4, 5, 6) ), make_node_reg( 'simple.2018-02-19', 'test2', make_date(), make_date(2018, 5, 10, 6, 3, 3) ), make_node_reg( 'simple.2018-02-19', 'test1', make_date(), make_date(2018, 5, 10, 8, 2, 9) ), make_node_reg( 'simple.2018-02-19', 'test2', make_date(), make_date(2018, 5, 10, 3, 4, 5) ), make_node_reg( 'simple.2018-02-19', 'test2', make_date(), None ), ]) res = client.get('/v1/process/{}/statistics'.format( 'simple.2018-02-19' )) assert res.status_code == 200 assert json.loads(res.data) == { 'data': [ { 'average': 540217.5, 'max': 547329.0, 'min': 533106.0, 'node': 'test1', 'process_id': 'simple.2018-02-19' }, { 'average': 534814.0, 'max': 540183.0, 'min': 529445.0, 'node': 'test2', 'process_id': 'simple.2018-02-19' }, ], } def test_process_statistics(client, mongo, config): def make_exec_reg(process_id, started_at, finished_at): return { 'started_at': started_at, 'finished_at': finished_at, 'status': 'finished', 'process': { 'id': process_id, 'version': 'v1', }, } mongo[config["EXECUTION_COLLECTION"]].insert_many([ make_exec_reg('p1', make_date(), make_date(2018, 5, 10, 4, 5, 6)), make_exec_reg('p2', make_date(), make_date(2018, 5, 10, 10, 34, 32)), make_exec_reg('p1', make_date(), make_date(2018, 5, 11, 22, 41, 10)), make_exec_reg('p2', make_date(), make_date(2018, 6, 23, 8, 15, 1)), ]) res = client.get('/v1/process/statistics') assert res.status_code == 200 assert json.loads(res.data) == { 'data': [ { 'average': 609788.0, 'max': 686470.0, 'min': 533106.0, 'process': 'p1', }, { 'average': 2453086.5, 'max': 4349701.0, 'min': 556472.0, 'process': 'p2', }, ], } def test_pagination_execution_log(client, mongo, config): def make_exec_reg(process_id, started_at, finished_at): return { 'started_at': started_at, 'finished_at': finished_at, 'status': 'finished', 'process': { 'id': process_id, 'version': 'v1', }, } mongo[config["EXECUTION_COLLECTION"]].insert_many([ make_exec_reg('p1', make_date(), make_date(2018, 5, 10, 4, 5, 6)), make_exec_reg('p2', make_date(), make_date(2018, 5, 10, 10, 34, 32)), make_exec_reg('p3', make_date(), make_date(2018, 5, 11, 22, 41, 10)), make_exec_reg('p4', make_date(), make_date(2018, 6, 23, 8, 15, 1)), make_exec_reg('p5', make_date(), make_date(2018, 6, 11, 4, 5, 6)), make_exec_reg('p6', make_date(), make_date(2018, 6, 12, 5, 6, 32)), make_exec_reg('p7', make_date(), make_date(2018, 6, 13, 6, 7, 10)), make_exec_reg('p8', make_date(), make_date(2018, 6, 14, 7, 8, 1)), ]) res = client.get('/v1/process/statistics?offset=2&limit=2') assert res.status_code == 200 assert json.loads(res.data)['data'][0]["process"] == 'p3' assert json.loads(res.data)['data'][1]["process"] == 'p4' assert len(json.loads(res.data)['data']) == 2 def test_pagination_v1_log(client, mongo, config): def make_node_reg(process_id, node_id, started_at, finished_at): return { 'started_at': started_at, 'finished_at': finished_at, 'execution': { 'id': EXECUTION_ID, }, 'node': { 'id': node_id, }, 'process_id': process_id } mongo[config["POINTER_COLLECTION"]].insert_many([ make_node_reg( 'simple.2018-02-19', 'mid_node', make_date(2018, 5, 20, 5, 5, 5), make_date(2018, 5, 20, 5, 5, 5) ), make_node_reg( 'simple.2018-02-19', 'mid_node', make_date(2018, 5, 21, 6, 6, 6), make_date(2018, 5, 21, 6, 6, 6) ), make_node_reg( 'simple.2018-02-19', 'mid_node', make_date(2018, 5, 22, 7, 7, 7), make_date(2018, 5, 22, 7, 7, 7) ), make_node_reg( 'simple.2018-02-19', 'mid_node', make_date(2018, 5, 23, 8, 8, 8), make_date(2018, 5, 23, 8, 8, 8) ), make_node_reg( 'simple.2018-02-19', 'mid_node', make_date(2018, 5, 24, 9, 9, 9), make_date(2018, 5, 24, 9, 9, 9) ), ]) res = client.get( '/v1/log/{}?node_id=mid_node&offset=2&limit=2'.format(EXECUTION_ID) ) assert json.loads(res.data)['data'][0]["finished_at"] == \ '2018-05-22T07:07:07+00:00' assert json.loads(res.data)['data'][1]["finished_at"] == \ '2018-05-21T06:06:06+00:00' assert len(json.loads(res.data)['data']) == 2 def test_pagination_v1_log_all(client, mongo, config): def make_node_reg(exec_id, process_id, node_id, started_at, finished_at): return { 'started_at': started_at, 'finished_at': finished_at, 'execution': { 'id': exec_id, }, 'node': { 'id': node_id, }, 'process_id': process_id } mongo[config["POINTER_COLLECTION"]].insert_many([ make_node_reg( 'aaaaaaaa', 'simple.2018-02-19', 'mid_node', make_date(2018, 5, 20, 5, 5, 5), make_date(2018, 5, 20, 5, 5, 5) ), make_node_reg( 'bbbbbbbb', 'simple.2018-02-19', 'mid_node', make_date(2018, 5, 21, 6, 6, 6), make_date(2018, 5, 21, 6, 6, 6) ), make_node_reg( 'cccccccc', 'simple.2018-02-19', 'mid_node', make_date(2018, 5, 22, 7, 7, 7), make_date(2018, 5, 22, 7, 7, 7) ), make_node_reg( 'dddddddd', 'simple.2018-02-19', 'mid_node', make_date(2018, 5, 23, 8, 8, 8), make_date(2018, 5, 23, 8, 8, 8) ), make_node_reg( 'eeeeeeee', 'simple.2018-02-19', 'mid_node', make_date(2018, 5, 24, 9, 9, 9), make_date(2018, 5, 24, 9, 9, 9) ), ]) res = client.get( '/v1/log?offset=2&limit=2' ) assert json.loads(res.data)['data'][0]["started_at"] == \ '2018-05-22T07:07:07+00:00' assert json.loads(res.data)['data'][1]["started_at"] == \ '2018-05-21T06:06:06+00:00' assert len(json.loads(res.data)['data']) == 2 def test_name_with_if(client, mongo, config): xml = Xml.load(config, 'pollo') assert xml.name == 'pollo.2018-05-20.xml' def test_get_xml(client): res = client.get('/v1/process/validation-multiform.xml') assert res.status_code == 200 assert res.headers['Content-Type'] == 'text/xml; charset=utf-8' assert res.data.startswith(b'<?xml version="1.0" encoding="UTF-8"?>') def test_fetch_pointers(client, mongo, config): def make_node_reg(exec_id, process_id, node_id, started_at, finished_at): return { 'started_at': started_at, 'finished_at': finished_at, 'execution': { 'id': exec_id, }, 'node': { 'id': node_id, }, 'process_id': process_id } ptr_01 = make_node_reg( 'aaaaaaaa', 'simple.2018-02-19', 'mid_node', make_date(2018, 5, 20, 5, 5, 5), make_date(2018, 5, 20, 5, 5, 5) ) ptr_02 = make_node_reg( 'aaaaaaaa', 'simple.2018-02-19', 'mid_node', make_date(2018, 5, 20, 5, 5, 5), make_date(2018, 5, 20, 5, 5, 5) ) ptr_03 = make_node_reg( 'cccccccc', 'simple.2018-02-19', 'mid_node', make_date(2018, 5, 22, 7, 7, 7), make_date(2018, 5, 22, 7, 7, 7) ) ptr_04 = make_node_reg( 'dddddddd', 'simple.2018-02-19', 'mid_node', make_date(2018, 5, 23, 8, 8, 8), make_date(2018, 5, 23, 8, 8, 8) ) ptr_05 = make_node_reg( 'eeeeeeee', 'simple.2018-02-19', 'mid_node', make_date(2018, 5, 24, 9, 9, 9), make_date(2018, 5, 24, 9, 9, 9) ) mongo[config["POINTER_COLLECTION"]].insert_many([ ptr_01.copy(), ptr_02.copy(), ptr_03.copy(), ptr_04.copy(), ptr_05.copy(), ]) # test simple request res_simple = client.get('/v1/pointer') data_simple = json.loads(res_simple.data) expected_pointers_simple = [ ptr_05.copy(), ptr_04.copy(), ptr_03.copy(), ptr_02.copy(), ptr_01.copy(), ] for item in expected_pointers_simple: item['started_at'] = item['started_at'].isoformat() + '+00:00' item['finished_at'] = item['finished_at'].isoformat() + '+00:00' assert data_simple == { 'total_count': 5, 'pointers': expected_pointers_simple, } # test sorted res_sorted = client.get('/v1/pointer?sort=execution.id,ASCENDING') data_sorted = json.loads(res_sorted.data) expected_pointers_sorted = [ ptr_01.copy(), ptr_02.copy(), ptr_03.copy(), ptr_04.copy(), ptr_05.copy(), ] for item in expected_pointers_sorted: item['started_at'] = item['started_at'].isoformat() + '+00:00' item['finished_at'] = item['finished_at'].isoformat() + '+00:00' assert data_sorted == { 'total_count': 5, 'pointers': expected_pointers_sorted, } # test include res_include = client.get('/v1/pointer?include=execution.id') data_include = json.loads(res_include.data) temp_list = [ ptr_05.copy(), ptr_04.copy(), ptr_03.copy(), ptr_02.copy(), ptr_01.copy(), ] expected_pointers_include = [ {'execution': {'id': p['execution']['id']}} for p in temp_list ] assert data_include == { 'total_count': 5, 'pointers': expected_pointers_include, } # test limit res_limit = client.get('/v1/pointer?limit=1') data_limit = json.loads(res_limit.data) expected_pointers_limit = [ ptr_05.copy(), ] for item in expected_pointers_limit: item['started_at'] = item['started_at'].isoformat() + '+00:00' item['finished_at'] = item['finished_at'].isoformat() + '+00:00' assert data_limit == { 'total_count': 5, 'pointers': expected_pointers_limit, } # test skip res_offset = client.get('/v1/pointer?offset=2') data_offset = json.loads(res_offset.data) expected_pointers_offset = [ ptr_03.copy(), ptr_02.copy(), ptr_01.copy(), ] for item in expected_pointers_offset: item['started_at'] = item['started_at'].isoformat() + '+00:00' item['finished_at'] = item['finished_at'].isoformat() + '+00:00' assert data_offset == { 'total_count': 5, 'pointers': expected_pointers_offset, } def test_fetch_user_info(client): make_user('juan', 'Juan', 'juan@mail.com') res = client.get('/v1/user/_identifier/juan/info') assert res.json == { 'identifier': 'juan', 'fullname': 'Juan', 'email': 'juan@mail.com', } def test_fetch_user_info_not_found(client): res = client.get('/v1/user/_identifier/juan/info') assert res.status_code == 404

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Python

src/utils/date_utils.py

jan-gerling/Empirical-Analysis

fbc9d430bd230d81d98476302072fa0e82082b70

[ "MIT" ]

17

2020-03-13T17:30:13.000Z

2022-03-18T06:00:23.000Z

src/utils/date_utils.py

jan-gerling/Empirical-Analysis

fbc9d430bd230d81d98476302072fa0e82082b70

[ "MIT" ]

86

2020-03-03T12:31:46.000Z

2020-08-04T08:06:50.000Z

src/utils/date_utils.py

jan-gerling/Empirical-Analysis

fbc9d430bd230d81d98476302072fa0e82082b70

[ "MIT" ]

6

2020-03-09T10:10:26.000Z

2021-12-07T01:17:20.000Z

from time import strftime, gmtime def now(): return strftime("%Y-%m-%d %H:%M:%S", gmtime())

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Python

larky/src/test/compat.py

yuriyshafranyuk1/starlarky

42ac4ee87e693814e63aa3f348a7ba318c66052d

[ "Apache-2.0" ]

12

2020-11-20T00:01:24.000Z

2022-02-03T12:48:11.000Z

larky/src/test/compat.py

yuriyshafranyuk1/starlarky

42ac4ee87e693814e63aa3f348a7ba318c66052d

[ "Apache-2.0" ]

92

2020-10-15T15:59:07.000Z

2022-03-31T16:37:24.000Z

larky/src/test/compat.py

yuriyshafranyuk1/starlarky

42ac4ee87e693814e63aa3f348a7ba318c66052d

[ "Apache-2.0" ]

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2020-10-27T07:51:32.000Z

2022-02-03T12:48:13.000Z

from collections import namedtuple def struct(**kwargs): return namedtuple('struct', ' '.join(kwargs.keys()))(**kwargs)

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Python

muskit/layers/rnn/attentions.py

A-Quarter-Mile/Muskits

60d80727d2ec6b8ec405502d67796e8df319ea82

[ "Apache-2.0" ]

74

2021-04-15T15:39:32.000Z

2022-03-23T03:34:25.000Z

muskit/layers/rnn/attentions.py

A-Quarter-Mile/Muskits

60d80727d2ec6b8ec405502d67796e8df319ea82

[ "Apache-2.0" ]

33

2021-04-30T18:24:47.000Z

2022-03-29T13:27:40.000Z

muskit/layers/rnn/attentions.py

A-Quarter-Mile/Muskits

60d80727d2ec6b8ec405502d67796e8df319ea82

[ "Apache-2.0" ]

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2021-04-15T15:20:32.000Z

2022-03-19T04:03:25.000Z

"""Attention modules for RNN.""" import math import six import torch import torch.nn.functional as F from muskit.torch_utils.nets_utils import make_pad_mask from muskit.torch_utils.nets_utils import to_device def _apply_attention_constraint( e, last_attended_idx, backward_window=1, forward_window=3 ): """Apply monotonic attention constraint. This function apply the monotonic attention constraint introduced in `Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning`_. Args: e (Tensor): Attention energy before applying softmax (1, T). last_attended_idx (int): The index of the inputs of the last attended [0, T]. backward_window (int, optional): Backward window size in attention constraint. forward_window (int, optional): Forward window size in attetion constraint. Returns: Tensor: Monotonic constrained attention energy (1, T). .. _`Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning`: https://arxiv.org/abs/1710.07654 """ if e.size(0) != 1: raise NotImplementedError("Batch attention constraining is not yet supported.") backward_idx = last_attended_idx - backward_window forward_idx = last_attended_idx + forward_window if backward_idx > 0: e[:, :backward_idx] = -float("inf") if forward_idx < e.size(1): e[:, forward_idx:] = -float("inf") return e class NoAtt(torch.nn.Module): """No attention""" def __init__(self): super(NoAtt, self).__init__() self.h_length = None self.enc_h = None self.pre_compute_enc_h = None self.c = None def reset(self): """reset states""" self.h_length = None self.enc_h = None self.pre_compute_enc_h = None self.c = None def forward(self, enc_hs_pad, enc_hs_len, dec_z, att_prev): """NoAtt forward :param torch.Tensor enc_hs_pad: padded encoder hidden state (B, T_max, D_enc) :param list enc_hs_len: padded encoder hidden state length (B) :param torch.Tensor dec_z: dummy (does not use) :param torch.Tensor att_prev: dummy (does not use) :return: attention weighted encoder state (B, D_enc) :rtype: torch.Tensor :return: previous attention weights :rtype: torch.Tensor """ batch = len(enc_hs_pad) # pre-compute all h outside the decoder loop if self.pre_compute_enc_h is None: self.enc_h = enc_hs_pad # utt x frame x hdim self.h_length = self.enc_h.size(1) # initialize attention weight with uniform dist. if att_prev is None: # if no bias, 0 0-pad goes 0 mask = 1.0 - make_pad_mask(enc_hs_len).float() att_prev = mask / mask.new(enc_hs_len).unsqueeze(-1) att_prev = att_prev.to(self.enc_h) self.c = torch.sum( self.enc_h * att_prev.view(batch, self.h_length, 1), dim=1 ) return self.c, att_prev class AttDot(torch.nn.Module): """Dot product attention :param int eprojs: # projection-units of encoder :param int dunits: # units of decoder :param int att_dim: attention dimension :param bool han_mode: flag to swith on mode of hierarchical attention and not store pre_compute_enc_h """ def __init__(self, eprojs, dunits, att_dim, han_mode=False): super(AttDot, self).__init__() self.mlp_enc = torch.nn.Linear(eprojs, att_dim) self.mlp_dec = torch.nn.Linear(dunits, att_dim) self.dunits = dunits self.eprojs = eprojs self.att_dim = att_dim self.h_length = None self.enc_h = None self.pre_compute_enc_h = None self.mask = None self.han_mode = han_mode def reset(self): """reset states""" self.h_length = None self.enc_h = None self.pre_compute_enc_h = None self.mask = None def forward(self, enc_hs_pad, enc_hs_len, dec_z, att_prev, scaling=2.0): """AttDot forward :param torch.Tensor enc_hs_pad: padded encoder hidden state (B x T_max x D_enc) :param list enc_hs_len: padded encoder hidden state length (B) :param torch.Tensor dec_z: dummy (does not use) :param torch.Tensor att_prev: dummy (does not use) :param float scaling: scaling parameter before applying softmax :return: attention weighted encoder state (B, D_enc) :rtype: torch.Tensor :return: previous attention weight (B x T_max) :rtype: torch.Tensor """ batch = enc_hs_pad.size(0) # pre-compute all h outside the decoder loop if self.pre_compute_enc_h is None or self.han_mode: self.enc_h = enc_hs_pad # utt x frame x hdim self.h_length = self.enc_h.size(1) # utt x frame x att_dim self.pre_compute_enc_h = torch.tanh(self.mlp_enc(self.enc_h)) if dec_z is None: dec_z = enc_hs_pad.new_zeros(batch, self.dunits) else: dec_z = dec_z.view(batch, self.dunits) e = torch.sum( self.pre_compute_enc_h * torch.tanh(self.mlp_dec(dec_z)).view(batch, 1, self.att_dim), dim=2, ) # utt x frame # NOTE consider zero padding when compute w. if self.mask is None: self.mask = to_device(enc_hs_pad, make_pad_mask(enc_hs_len)) e.masked_fill_(self.mask, -float("inf")) w = F.softmax(scaling * e, dim=1) # weighted sum over flames # utt x hdim # NOTE use bmm instead of sum(*) c = torch.sum(self.enc_h * w.view(batch, self.h_length, 1), dim=1) return c, w class AttAdd(torch.nn.Module): """Additive attention :param int eprojs: # projection-units of encoder :param int dunits: # units of decoder :param int att_dim: attention dimension :param bool han_mode: flag to swith on mode of hierarchical attention and not store pre_compute_enc_h """ def __init__(self, eprojs, dunits, att_dim, han_mode=False): super(AttAdd, self).__init__() self.mlp_enc = torch.nn.Linear(eprojs, att_dim) self.mlp_dec = torch.nn.Linear(dunits, att_dim, bias=False) self.gvec = torch.nn.Linear(att_dim, 1) self.dunits = dunits self.eprojs = eprojs self.att_dim = att_dim self.h_length = None self.enc_h = None self.pre_compute_enc_h = None self.mask = None self.han_mode = han_mode def reset(self): """reset states""" self.h_length = None self.enc_h = None self.pre_compute_enc_h = None self.mask = None def forward(self, enc_hs_pad, enc_hs_len, dec_z, att_prev, scaling=2.0): """AttAdd forward :param torch.Tensor enc_hs_pad: padded encoder hidden state (B x T_max x D_enc) :param list enc_hs_len: padded encoder hidden state length (B) :param torch.Tensor dec_z: decoder hidden state (B x D_dec) :param torch.Tensor att_prev: dummy (does not use) :param float scaling: scaling parameter before applying softmax :return: attention weighted encoder state (B, D_enc) :rtype: torch.Tensor :return: previous attention weights (B x T_max) :rtype: torch.Tensor """ batch = len(enc_hs_pad) # pre-compute all h outside the decoder loop if self.pre_compute_enc_h is None or self.han_mode: self.enc_h = enc_hs_pad # utt x frame x hdim self.h_length = self.enc_h.size(1) # utt x frame x att_dim self.pre_compute_enc_h = self.mlp_enc(self.enc_h) if dec_z is None: dec_z = enc_hs_pad.new_zeros(batch, self.dunits) else: dec_z = dec_z.view(batch, self.dunits) # dec_z_tiled: utt x frame x att_dim dec_z_tiled = self.mlp_dec(dec_z).view(batch, 1, self.att_dim) # dot with gvec # utt x frame x att_dim -> utt x frame e = self.gvec(torch.tanh(self.pre_compute_enc_h + dec_z_tiled)).squeeze(2) # NOTE consider zero padding when compute w. if self.mask is None: self.mask = to_device(enc_hs_pad, make_pad_mask(enc_hs_len)) e.masked_fill_(self.mask, -float("inf")) w = F.softmax(scaling * e, dim=1) # weighted sum over flames # utt x hdim # NOTE use bmm instead of sum(*) c = torch.sum(self.enc_h * w.view(batch, self.h_length, 1), dim=1) return c, w class AttLoc(torch.nn.Module): """location-aware attention module. Reference: Attention-Based Models for Speech Recognition (https://arxiv.org/pdf/1506.07503.pdf) :param int eprojs: # projection-units of encoder :param int dunits: # units of decoder :param int att_dim: attention dimension :param int aconv_chans: # channels of attention convolution :param int aconv_filts: filter size of attention convolution :param bool han_mode: flag to swith on mode of hierarchical attention and not store pre_compute_enc_h """ def __init__( self, eprojs, dunits, att_dim, aconv_chans, aconv_filts, han_mode=False ): super(AttLoc, self).__init__() self.mlp_enc = torch.nn.Linear(eprojs, att_dim) self.mlp_dec = torch.nn.Linear(dunits, att_dim, bias=False) self.mlp_att = torch.nn.Linear(aconv_chans, att_dim, bias=False) self.loc_conv = torch.nn.Conv2d( 1, aconv_chans, (1, 2 * aconv_filts + 1), padding=(0, aconv_filts), bias=False, ) self.gvec = torch.nn.Linear(att_dim, 1) self.dunits = dunits self.eprojs = eprojs self.att_dim = att_dim self.h_length = None self.enc_h = None self.pre_compute_enc_h = None self.mask = None self.han_mode = han_mode def reset(self): """reset states""" self.h_length = None self.enc_h = None self.pre_compute_enc_h = None self.mask = None def forward( self, enc_hs_pad, enc_hs_len, dec_z, att_prev, scaling=2.0, last_attended_idx=None, backward_window=1, forward_window=3, ): """Calcualte AttLoc forward propagation. :param torch.Tensor enc_hs_pad: padded encoder hidden state (B x T_max x D_enc) :param list enc_hs_len: padded encoder hidden state length (B) :param torch.Tensor dec_z: decoder hidden state (B x D_dec) :param torch.Tensor att_prev: previous attention weight (B x T_max) :param float scaling: scaling parameter before applying softmax :param torch.Tensor forward_window: forward window size when constraining attention :param int last_attended_idx: index of the inputs of the last attended :param int backward_window: backward window size in attention constraint :param int forward_window: forward window size in attetion constraint :return: attention weighted encoder state (B, D_enc) :rtype: torch.Tensor :return: previous attention weights (B x T_max) :rtype: torch.Tensor """ batch = len(enc_hs_pad) # pre-compute all h outside the decoder loop if self.pre_compute_enc_h is None or self.han_mode: self.enc_h = enc_hs_pad # utt x frame x hdim self.h_length = self.enc_h.size(1) # utt x frame x att_dim self.pre_compute_enc_h = self.mlp_enc(self.enc_h) if dec_z is None: dec_z = enc_hs_pad.new_zeros(batch, self.dunits) else: dec_z = dec_z.view(batch, self.dunits) # initialize attention weight with uniform dist. if att_prev is None: # if no bias, 0 0-pad goes 0 att_prev = 1.0 - make_pad_mask(enc_hs_len).to( device=dec_z.device, dtype=dec_z.dtype ) att_prev = att_prev / att_prev.new(enc_hs_len).unsqueeze(-1) # att_prev: utt x frame -> utt x 1 x 1 x frame # -> utt x att_conv_chans x 1 x frame att_conv = self.loc_conv(att_prev.view(batch, 1, 1, self.h_length)) # att_conv: utt x att_conv_chans x 1 x frame -> utt x frame x att_conv_chans att_conv = att_conv.squeeze(2).transpose(1, 2) # att_conv: utt x frame x att_conv_chans -> utt x frame x att_dim att_conv = self.mlp_att(att_conv) # dec_z_tiled: utt x frame x att_dim dec_z_tiled = self.mlp_dec(dec_z).view(batch, 1, self.att_dim) # dot with gvec # utt x frame x att_dim -> utt x frame e = self.gvec( torch.tanh(att_conv + self.pre_compute_enc_h + dec_z_tiled) ).squeeze(2) # NOTE: consider zero padding when compute w. if self.mask is None: self.mask = to_device(enc_hs_pad, make_pad_mask(enc_hs_len)) e.masked_fill_(self.mask, -float("inf")) # apply monotonic attention constraint (mainly for SVS) if last_attended_idx is not None: e = _apply_attention_constraint( e, last_attended_idx, backward_window, forward_window ) w = F.softmax(scaling * e, dim=1) # weighted sum over flames # utt x hdim c = torch.sum(self.enc_h * w.view(batch, self.h_length, 1), dim=1) return c, w class AttCov(torch.nn.Module): """Coverage mechanism attention Reference: Get To The Point: Summarization with Pointer-Generator Network (https://arxiv.org/abs/1704.04368) :param int eprojs: # projection-units of encoder :param int dunits: # units of decoder :param int att_dim: attention dimension :param bool han_mode: flag to swith on mode of hierarchical attention and not store pre_compute_enc_h """ def __init__(self, eprojs, dunits, att_dim, han_mode=False): super(AttCov, self).__init__() self.mlp_enc = torch.nn.Linear(eprojs, att_dim) self.mlp_dec = torch.nn.Linear(dunits, att_dim, bias=False) self.wvec = torch.nn.Linear(1, att_dim) self.gvec = torch.nn.Linear(att_dim, 1) self.dunits = dunits self.eprojs = eprojs self.att_dim = att_dim self.h_length = None self.enc_h = None self.pre_compute_enc_h = None self.mask = None self.han_mode = han_mode def reset(self): """reset states""" self.h_length = None self.enc_h = None self.pre_compute_enc_h = None self.mask = None def forward(self, enc_hs_pad, enc_hs_len, dec_z, att_prev_list, scaling=2.0): """AttCov forward :param torch.Tensor enc_hs_pad: padded encoder hidden state (B x T_max x D_enc) :param list enc_hs_len: padded encoder hidden state length (B) :param torch.Tensor dec_z: decoder hidden state (B x D_dec) :param list att_prev_list: list of previous attention weight :param float scaling: scaling parameter before applying softmax :return: attention weighted encoder state (B, D_enc) :rtype: torch.Tensor :return: list of previous attention weights :rtype: list """ batch = len(enc_hs_pad) # pre-compute all h outside the decoder loop if self.pre_compute_enc_h is None or self.han_mode: self.enc_h = enc_hs_pad # utt x frame x hdim self.h_length = self.enc_h.size(1) # utt x frame x att_dim self.pre_compute_enc_h = self.mlp_enc(self.enc_h) if dec_z is None: dec_z = enc_hs_pad.new_zeros(batch, self.dunits) else: dec_z = dec_z.view(batch, self.dunits) # initialize attention weight with uniform dist. if att_prev_list is None: # if no bias, 0 0-pad goes 0 att_prev_list = to_device( enc_hs_pad, (1.0 - make_pad_mask(enc_hs_len).float()) ) att_prev_list = [ att_prev_list / att_prev_list.new(enc_hs_len).unsqueeze(-1) ] # att_prev_list: L' * [B x T] => cov_vec B x T cov_vec = sum(att_prev_list) # cov_vec: B x T => B x T x 1 => B x T x att_dim cov_vec = self.wvec(cov_vec.unsqueeze(-1)) # dec_z_tiled: utt x frame x att_dim dec_z_tiled = self.mlp_dec(dec_z).view(batch, 1, self.att_dim) # dot with gvec # utt x frame x att_dim -> utt x frame e = self.gvec( torch.tanh(cov_vec + self.pre_compute_enc_h + dec_z_tiled) ).squeeze(2) # NOTE consider zero padding when compute w. if self.mask is None: self.mask = to_device(enc_hs_pad, make_pad_mask(enc_hs_len)) e.masked_fill_(self.mask, -float("inf")) w = F.softmax(scaling * e, dim=1) att_prev_list += [w] # weighted sum over flames # utt x hdim # NOTE use bmm instead of sum(*) c = torch.sum(self.enc_h * w.view(batch, self.h_length, 1), dim=1) return c, att_prev_list class AttLoc2D(torch.nn.Module): """2D location-aware attention This attention is an extended version of location aware attention. It take not only one frame before attention weights, but also earlier frames into account. :param int eprojs: # projection-units of encoder :param int dunits: # units of decoder :param int att_dim: attention dimension :param int aconv_chans: # channels of attention convolution :param int aconv_filts: filter size of attention convolution :param int att_win: attention window size (default=5) :param bool han_mode: flag to swith on mode of hierarchical attention and not store pre_compute_enc_h """ def __init__( self, eprojs, dunits, att_dim, att_win, aconv_chans, aconv_filts, han_mode=False ): super(AttLoc2D, self).__init__() self.mlp_enc = torch.nn.Linear(eprojs, att_dim) self.mlp_dec = torch.nn.Linear(dunits, att_dim, bias=False) self.mlp_att = torch.nn.Linear(aconv_chans, att_dim, bias=False) self.loc_conv = torch.nn.Conv2d( 1, aconv_chans, (att_win, 2 * aconv_filts + 1), padding=(0, aconv_filts), bias=False, ) self.gvec = torch.nn.Linear(att_dim, 1) self.dunits = dunits self.eprojs = eprojs self.att_dim = att_dim self.h_length = None self.enc_h = None self.pre_compute_enc_h = None self.aconv_chans = aconv_chans self.att_win = att_win self.mask = None self.han_mode = han_mode def reset(self): """reset states""" self.h_length = None self.enc_h = None self.pre_compute_enc_h = None self.mask = None def forward(self, enc_hs_pad, enc_hs_len, dec_z, att_prev, scaling=2.0): """AttLoc2D forward :param torch.Tensor enc_hs_pad: padded encoder hidden state (B x T_max x D_enc) :param list enc_hs_len: padded encoder hidden state length (B) :param torch.Tensor dec_z: decoder hidden state (B x D_dec) :param torch.Tensor att_prev: previous attention weight (B x att_win x T_max) :param float scaling: scaling parameter before applying softmax :return: attention weighted encoder state (B, D_enc) :rtype: torch.Tensor :return: previous attention weights (B x att_win x T_max) :rtype: torch.Tensor """ batch = len(enc_hs_pad) # pre-compute all h outside the decoder loop if self.pre_compute_enc_h is None or self.han_mode: self.enc_h = enc_hs_pad # utt x frame x hdim self.h_length = self.enc_h.size(1) # utt x frame x att_dim self.pre_compute_enc_h = self.mlp_enc(self.enc_h) if dec_z is None: dec_z = enc_hs_pad.new_zeros(batch, self.dunits) else: dec_z = dec_z.view(batch, self.dunits) # initialize attention weight with uniform dist. if att_prev is None: # B * [Li x att_win] # if no bias, 0 0-pad goes 0 att_prev = to_device(enc_hs_pad, (1.0 - make_pad_mask(enc_hs_len).float())) att_prev = att_prev / att_prev.new(enc_hs_len).unsqueeze(-1) att_prev = att_prev.unsqueeze(1).expand(-1, self.att_win, -1) # att_prev: B x att_win x Tmax -> B x 1 x att_win x Tmax -> B x C x 1 x Tmax att_conv = self.loc_conv(att_prev.unsqueeze(1)) # att_conv: B x C x 1 x Tmax -> B x Tmax x C att_conv = att_conv.squeeze(2).transpose(1, 2) # att_conv: utt x frame x att_conv_chans -> utt x frame x att_dim att_conv = self.mlp_att(att_conv) # dec_z_tiled: utt x frame x att_dim dec_z_tiled = self.mlp_dec(dec_z).view(batch, 1, self.att_dim) # dot with gvec # utt x frame x att_dim -> utt x frame e = self.gvec( torch.tanh(att_conv + self.pre_compute_enc_h + dec_z_tiled) ).squeeze(2) # NOTE consider zero padding when compute w. if self.mask is None: self.mask = to_device(enc_hs_pad, make_pad_mask(enc_hs_len)) e.masked_fill_(self.mask, -float("inf")) w = F.softmax(scaling * e, dim=1) # weighted sum over flames # utt x hdim # NOTE use bmm instead of sum(*) c = torch.sum(self.enc_h * w.view(batch, self.h_length, 1), dim=1) # update att_prev: B x att_win x Tmax -> B x att_win+1 x Tmax # -> B x att_win x Tmax att_prev = torch.cat([att_prev, w.unsqueeze(1)], dim=1) att_prev = att_prev[:, 1:] return c, att_prev class AttLocRec(torch.nn.Module): """location-aware recurrent attention This attention is an extended version of location aware attention. With the use of RNN, it take the effect of the history of attention weights into account. :param int eprojs: # projection-units of encoder :param int dunits: # units of decoder :param int att_dim: attention dimension :param int aconv_chans: # channels of attention convolution :param int aconv_filts: filter size of attention convolution :param bool han_mode: flag to swith on mode of hierarchical attention and not store pre_compute_enc_h """ def __init__( self, eprojs, dunits, att_dim, aconv_chans, aconv_filts, han_mode=False ): super(AttLocRec, self).__init__() self.mlp_enc = torch.nn.Linear(eprojs, att_dim) self.mlp_dec = torch.nn.Linear(dunits, att_dim, bias=False) self.loc_conv = torch.nn.Conv2d( 1, aconv_chans, (1, 2 * aconv_filts + 1), padding=(0, aconv_filts), bias=False, ) self.att_lstm = torch.nn.LSTMCell(aconv_chans, att_dim, bias=False) self.gvec = torch.nn.Linear(att_dim, 1) self.dunits = dunits self.eprojs = eprojs self.att_dim = att_dim self.h_length = None self.enc_h = None self.pre_compute_enc_h = None self.mask = None self.han_mode = han_mode def reset(self): """reset states""" self.h_length = None self.enc_h = None self.pre_compute_enc_h = None self.mask = None def forward(self, enc_hs_pad, enc_hs_len, dec_z, att_prev_states, scaling=2.0): """AttLocRec forward :param torch.Tensor enc_hs_pad: padded encoder hidden state (B x T_max x D_enc) :param list enc_hs_len: padded encoder hidden state length (B) :param torch.Tensor dec_z: decoder hidden state (B x D_dec) :param tuple att_prev_states: previous attention weight and lstm states ((B, T_max), ((B, att_dim), (B, att_dim))) :param float scaling: scaling parameter before applying softmax :return: attention weighted encoder state (B, D_enc) :rtype: torch.Tensor :return: previous attention weights and lstm states (w, (hx, cx)) ((B, T_max), ((B, att_dim), (B, att_dim))) :rtype: tuple """ batch = len(enc_hs_pad) # pre-compute all h outside the decoder loop if self.pre_compute_enc_h is None or self.han_mode: self.enc_h = enc_hs_pad # utt x frame x hdim self.h_length = self.enc_h.size(1) # utt x frame x att_dim self.pre_compute_enc_h = self.mlp_enc(self.enc_h) if dec_z is None: dec_z = enc_hs_pad.new_zeros(batch, self.dunits) else: dec_z = dec_z.view(batch, self.dunits) if att_prev_states is None: # initialize attention weight with uniform dist. # if no bias, 0 0-pad goes 0 att_prev = to_device(enc_hs_pad, (1.0 - make_pad_mask(enc_hs_len).float())) att_prev = att_prev / att_prev.new(enc_hs_len).unsqueeze(-1) # initialize lstm states att_h = enc_hs_pad.new_zeros(batch, self.att_dim) att_c = enc_hs_pad.new_zeros(batch, self.att_dim) att_states = (att_h, att_c) else: att_prev = att_prev_states[0] att_states = att_prev_states[1] # B x 1 x 1 x T -> B x C x 1 x T att_conv = self.loc_conv(att_prev.view(batch, 1, 1, self.h_length)) # apply non-linear att_conv = F.relu(att_conv) # B x C x 1 x T -> B x C x 1 x 1 -> B x C att_conv = F.max_pool2d(att_conv, (1, att_conv.size(3))).view(batch, -1) att_h, att_c = self.att_lstm(att_conv, att_states) # dec_z_tiled: utt x frame x att_dim dec_z_tiled = self.mlp_dec(dec_z).view(batch, 1, self.att_dim) # dot with gvec # utt x frame x att_dim -> utt x frame e = self.gvec( torch.tanh(att_h.unsqueeze(1) + self.pre_compute_enc_h + dec_z_tiled) ).squeeze(2) # NOTE consider zero padding when compute w. if self.mask is None: self.mask = to_device(enc_hs_pad, make_pad_mask(enc_hs_len)) e.masked_fill_(self.mask, -float("inf")) w = F.softmax(scaling * e, dim=1) # weighted sum over flames # utt x hdim # NOTE use bmm instead of sum(*) c = torch.sum(self.enc_h * w.view(batch, self.h_length, 1), dim=1) return c, (w, (att_h, att_c)) class AttCovLoc(torch.nn.Module): """Coverage mechanism location aware attention This attention is a combination of coverage and location-aware attentions. :param int eprojs: # projection-units of encoder :param int dunits: # units of decoder :param int att_dim: attention dimension :param int aconv_chans: # channels of attention convolution :param int aconv_filts: filter size of attention convolution :param bool han_mode: flag to swith on mode of hierarchical attention and not store pre_compute_enc_h """ def __init__( self, eprojs, dunits, att_dim, aconv_chans, aconv_filts, han_mode=False ): super(AttCovLoc, self).__init__() self.mlp_enc = torch.nn.Linear(eprojs, att_dim) self.mlp_dec = torch.nn.Linear(dunits, att_dim, bias=False) self.mlp_att = torch.nn.Linear(aconv_chans, att_dim, bias=False) self.loc_conv = torch.nn.Conv2d( 1, aconv_chans, (1, 2 * aconv_filts + 1), padding=(0, aconv_filts), bias=False, ) self.gvec = torch.nn.Linear(att_dim, 1) self.dunits = dunits self.eprojs = eprojs self.att_dim = att_dim self.h_length = None self.enc_h = None self.pre_compute_enc_h = None self.aconv_chans = aconv_chans self.mask = None self.han_mode = han_mode def reset(self): """reset states""" self.h_length = None self.enc_h = None self.pre_compute_enc_h = None self.mask = None def forward(self, enc_hs_pad, enc_hs_len, dec_z, att_prev_list, scaling=2.0): """AttCovLoc forward :param torch.Tensor enc_hs_pad: padded encoder hidden state (B x T_max x D_enc) :param list enc_hs_len: padded encoder hidden state length (B) :param torch.Tensor dec_z: decoder hidden state (B x D_dec) :param list att_prev_list: list of previous attention weight :param float scaling: scaling parameter before applying softmax :return: attention weighted encoder state (B, D_enc) :rtype: torch.Tensor :return: list of previous attention weights :rtype: list """ batch = len(enc_hs_pad) # pre-compute all h outside the decoder loop if self.pre_compute_enc_h is None or self.han_mode: self.enc_h = enc_hs_pad # utt x frame x hdim self.h_length = self.enc_h.size(1) # utt x frame x att_dim self.pre_compute_enc_h = self.mlp_enc(self.enc_h) if dec_z is None: dec_z = enc_hs_pad.new_zeros(batch, self.dunits) else: dec_z = dec_z.view(batch, self.dunits) # initialize attention weight with uniform dist. if att_prev_list is None: # if no bias, 0 0-pad goes 0 mask = 1.0 - make_pad_mask(enc_hs_len).float() att_prev_list = [ to_device(enc_hs_pad, mask / mask.new(enc_hs_len).unsqueeze(-1)) ] # att_prev_list: L' * [B x T] => cov_vec B x T cov_vec = sum(att_prev_list) # cov_vec: B x T -> B x 1 x 1 x T -> B x C x 1 x T att_conv = self.loc_conv(cov_vec.view(batch, 1, 1, self.h_length)) # att_conv: utt x att_conv_chans x 1 x frame -> utt x frame x att_conv_chans att_conv = att_conv.squeeze(2).transpose(1, 2) # att_conv: utt x frame x att_conv_chans -> utt x frame x att_dim att_conv = self.mlp_att(att_conv) # dec_z_tiled: utt x frame x att_dim dec_z_tiled = self.mlp_dec(dec_z).view(batch, 1, self.att_dim) # dot with gvec # utt x frame x att_dim -> utt x frame e = self.gvec( torch.tanh(att_conv + self.pre_compute_enc_h + dec_z_tiled) ).squeeze(2) # NOTE consider zero padding when compute w. if self.mask is None: self.mask = to_device(enc_hs_pad, make_pad_mask(enc_hs_len)) e.masked_fill_(self.mask, -float("inf")) w = F.softmax(scaling * e, dim=1) att_prev_list += [w] # weighted sum over flames # utt x hdim # NOTE use bmm instead of sum(*) c = torch.sum(self.enc_h * w.view(batch, self.h_length, 1), dim=1) return c, att_prev_list class AttMultiHeadDot(torch.nn.Module): """Multi head dot product attention Reference: Attention is all you need (https://arxiv.org/abs/1706.03762) :param int eprojs: # projection-units of encoder :param int dunits: # units of decoder :param int aheads: # heads of multi head attention :param int att_dim_k: dimension k in multi head attention :param int att_dim_v: dimension v in multi head attention :param bool han_mode: flag to swith on mode of hierarchical attention and not store pre_compute_k and pre_compute_v """ def __init__(self, eprojs, dunits, aheads, att_dim_k, att_dim_v, han_mode=False): super(AttMultiHeadDot, self).__init__() self.mlp_q = torch.nn.ModuleList() self.mlp_k = torch.nn.ModuleList() self.mlp_v = torch.nn.ModuleList() for _ in six.moves.range(aheads): self.mlp_q += [torch.nn.Linear(dunits, att_dim_k)] self.mlp_k += [torch.nn.Linear(eprojs, att_dim_k, bias=False)] self.mlp_v += [torch.nn.Linear(eprojs, att_dim_v, bias=False)] self.mlp_o = torch.nn.Linear(aheads * att_dim_v, eprojs, bias=False) self.dunits = dunits self.eprojs = eprojs self.aheads = aheads self.att_dim_k = att_dim_k self.att_dim_v = att_dim_v self.scaling = 1.0 / math.sqrt(att_dim_k) self.h_length = None self.enc_h = None self.pre_compute_k = None self.pre_compute_v = None self.mask = None self.han_mode = han_mode def reset(self): """reset states""" self.h_length = None self.enc_h = None self.pre_compute_k = None self.pre_compute_v = None self.mask = None def forward(self, enc_hs_pad, enc_hs_len, dec_z, att_prev): """AttMultiHeadDot forward :param torch.Tensor enc_hs_pad: padded encoder hidden state (B x T_max x D_enc) :param list enc_hs_len: padded encoder hidden state length (B) :param torch.Tensor dec_z: decoder hidden state (B x D_dec) :param torch.Tensor att_prev: dummy (does not use) :return: attention weighted encoder state (B x D_enc) :rtype: torch.Tensor :return: list of previous attention weight (B x T_max) * aheads :rtype: list """ batch = enc_hs_pad.size(0) # pre-compute all k and v outside the decoder loop if self.pre_compute_k is None or self.han_mode: self.enc_h = enc_hs_pad # utt x frame x hdim self.h_length = self.enc_h.size(1) # utt x frame x att_dim self.pre_compute_k = [ torch.tanh(self.mlp_k[h](self.enc_h)) for h in six.moves.range(self.aheads) ] if self.pre_compute_v is None or self.han_mode: self.enc_h = enc_hs_pad # utt x frame x hdim self.h_length = self.enc_h.size(1) # utt x frame x att_dim self.pre_compute_v = [ self.mlp_v[h](self.enc_h) for h in six.moves.range(self.aheads) ] if dec_z is None: dec_z = enc_hs_pad.new_zeros(batch, self.dunits) else: dec_z = dec_z.view(batch, self.dunits) c = [] w = [] for h in six.moves.range(self.aheads): e = torch.sum( self.pre_compute_k[h] * torch.tanh(self.mlp_q[h](dec_z)).view(batch, 1, self.att_dim_k), dim=2, ) # utt x frame # NOTE consider zero padding when compute w. if self.mask is None: self.mask = to_device(enc_hs_pad, make_pad_mask(enc_hs_len)) e.masked_fill_(self.mask, -float("inf")) w += [F.softmax(self.scaling * e, dim=1)] # weighted sum over flames # utt x hdim # NOTE use bmm instead of sum(*) c += [ torch.sum( self.pre_compute_v[h] * w[h].view(batch, self.h_length, 1), dim=1 ) ] # concat all of c c = self.mlp_o(torch.cat(c, dim=1)) return c, w class AttMultiHeadAdd(torch.nn.Module): """Multi head additive attention Reference: Attention is all you need (https://arxiv.org/abs/1706.03762) This attention is multi head attention using additive attention for each head. :param int eprojs: # projection-units of encoder :param int dunits: # units of decoder :param int aheads: # heads of multi head attention :param int att_dim_k: dimension k in multi head attention :param int att_dim_v: dimension v in multi head attention :param bool han_mode: flag to swith on mode of hierarchical attention and not store pre_compute_k and pre_compute_v """ def __init__(self, eprojs, dunits, aheads, att_dim_k, att_dim_v, han_mode=False): super(AttMultiHeadAdd, self).__init__() self.mlp_q = torch.nn.ModuleList() self.mlp_k = torch.nn.ModuleList() self.mlp_v = torch.nn.ModuleList() self.gvec = torch.nn.ModuleList() for _ in six.moves.range(aheads): self.mlp_q += [torch.nn.Linear(dunits, att_dim_k)] self.mlp_k += [torch.nn.Linear(eprojs, att_dim_k, bias=False)] self.mlp_v += [torch.nn.Linear(eprojs, att_dim_v, bias=False)] self.gvec += [torch.nn.Linear(att_dim_k, 1)] self.mlp_o = torch.nn.Linear(aheads * att_dim_v, eprojs, bias=False) self.dunits = dunits self.eprojs = eprojs self.aheads = aheads self.att_dim_k = att_dim_k self.att_dim_v = att_dim_v self.scaling = 1.0 / math.sqrt(att_dim_k) self.h_length = None self.enc_h = None self.pre_compute_k = None self.pre_compute_v = None self.mask = None self.han_mode = han_mode def reset(self): """reset states""" self.h_length = None self.enc_h = None self.pre_compute_k = None self.pre_compute_v = None self.mask = None def forward(self, enc_hs_pad, enc_hs_len, dec_z, att_prev): """AttMultiHeadAdd forward :param torch.Tensor enc_hs_pad: padded encoder hidden state (B x T_max x D_enc) :param list enc_hs_len: padded encoder hidden state length (B) :param torch.Tensor dec_z: decoder hidden state (B x D_dec) :param torch.Tensor att_prev: dummy (does not use) :return: attention weighted encoder state (B, D_enc) :rtype: torch.Tensor :return: list of previous attention weight (B x T_max) * aheads :rtype: list """ batch = enc_hs_pad.size(0) # pre-compute all k and v outside the decoder loop if self.pre_compute_k is None or self.han_mode: self.enc_h = enc_hs_pad # utt x frame x hdim self.h_length = self.enc_h.size(1) # utt x frame x att_dim self.pre_compute_k = [ self.mlp_k[h](self.enc_h) for h in six.moves.range(self.aheads) ] if self.pre_compute_v is None or self.han_mode: self.enc_h = enc_hs_pad # utt x frame x hdim self.h_length = self.enc_h.size(1) # utt x frame x att_dim self.pre_compute_v = [ self.mlp_v[h](self.enc_h) for h in six.moves.range(self.aheads) ] if dec_z is None: dec_z = enc_hs_pad.new_zeros(batch, self.dunits) else: dec_z = dec_z.view(batch, self.dunits) c = [] w = [] for h in six.moves.range(self.aheads): e = self.gvec[h]( torch.tanh( self.pre_compute_k[h] + self.mlp_q[h](dec_z).view(batch, 1, self.att_dim_k) ) ).squeeze(2) # NOTE consider zero padding when compute w. if self.mask is None: self.mask = to_device(enc_hs_pad, make_pad_mask(enc_hs_len)) e.masked_fill_(self.mask, -float("inf")) w += [F.softmax(self.scaling * e, dim=1)] # weighted sum over flames # utt x hdim # NOTE use bmm instead of sum(*) c += [ torch.sum( self.pre_compute_v[h] * w[h].view(batch, self.h_length, 1), dim=1 ) ] # concat all of c c = self.mlp_o(torch.cat(c, dim=1)) return c, w class AttMultiHeadLoc(torch.nn.Module): """Multi head location based attention Reference: Attention is all you need (https://arxiv.org/abs/1706.03762) This attention is multi head attention using location-aware attention for each head. :param int eprojs: # projection-units of encoder :param int dunits: # units of decoder :param int aheads: # heads of multi head attention :param int att_dim_k: dimension k in multi head attention :param int att_dim_v: dimension v in multi head attention :param int aconv_chans: # channels of attention convolution :param int aconv_filts: filter size of attention convolution :param bool han_mode: flag to swith on mode of hierarchical attention and not store pre_compute_k and pre_compute_v """ def __init__( self, eprojs, dunits, aheads, att_dim_k, att_dim_v, aconv_chans, aconv_filts, han_mode=False, ): super(AttMultiHeadLoc, self).__init__() self.mlp_q = torch.nn.ModuleList() self.mlp_k = torch.nn.ModuleList() self.mlp_v = torch.nn.ModuleList() self.gvec = torch.nn.ModuleList() self.loc_conv = torch.nn.ModuleList() self.mlp_att = torch.nn.ModuleList() for _ in six.moves.range(aheads): self.mlp_q += [torch.nn.Linear(dunits, att_dim_k)] self.mlp_k += [torch.nn.Linear(eprojs, att_dim_k, bias=False)] self.mlp_v += [torch.nn.Linear(eprojs, att_dim_v, bias=False)] self.gvec += [torch.nn.Linear(att_dim_k, 1)] self.loc_conv += [ torch.nn.Conv2d( 1, aconv_chans, (1, 2 * aconv_filts + 1), padding=(0, aconv_filts), bias=False, ) ] self.mlp_att += [torch.nn.Linear(aconv_chans, att_dim_k, bias=False)] self.mlp_o = torch.nn.Linear(aheads * att_dim_v, eprojs, bias=False) self.dunits = dunits self.eprojs = eprojs self.aheads = aheads self.att_dim_k = att_dim_k self.att_dim_v = att_dim_v self.scaling = 1.0 / math.sqrt(att_dim_k) self.h_length = None self.enc_h = None self.pre_compute_k = None self.pre_compute_v = None self.mask = None self.han_mode = han_mode def reset(self): """reset states""" self.h_length = None self.enc_h = None self.pre_compute_k = None self.pre_compute_v = None self.mask = None def forward(self, enc_hs_pad, enc_hs_len, dec_z, att_prev, scaling=2.0): """AttMultiHeadLoc forward :param torch.Tensor enc_hs_pad: padded encoder hidden state (B x T_max x D_enc) :param list enc_hs_len: padded encoder hidden state length (B) :param torch.Tensor dec_z: decoder hidden state (B x D_dec) :param torch.Tensor att_prev: list of previous attention weight (B x T_max) * aheads :param float scaling: scaling parameter before applying softmax :return: attention weighted encoder state (B x D_enc) :rtype: torch.Tensor :return: list of previous attention weight (B x T_max) * aheads :rtype: list """ batch = enc_hs_pad.size(0) # pre-compute all k and v outside the decoder loop if self.pre_compute_k is None or self.han_mode: self.enc_h = enc_hs_pad # utt x frame x hdim self.h_length = self.enc_h.size(1) # utt x frame x att_dim self.pre_compute_k = [ self.mlp_k[h](self.enc_h) for h in six.moves.range(self.aheads) ] if self.pre_compute_v is None or self.han_mode: self.enc_h = enc_hs_pad # utt x frame x hdim self.h_length = self.enc_h.size(1) # utt x frame x att_dim self.pre_compute_v = [ self.mlp_v[h](self.enc_h) for h in six.moves.range(self.aheads) ] if dec_z is None: dec_z = enc_hs_pad.new_zeros(batch, self.dunits) else: dec_z = dec_z.view(batch, self.dunits) if att_prev is None: att_prev = [] for _ in six.moves.range(self.aheads): # if no bias, 0 0-pad goes 0 mask = 1.0 - make_pad_mask(enc_hs_len).float() att_prev += [ to_device(enc_hs_pad, mask / mask.new(enc_hs_len).unsqueeze(-1)) ] c = [] w = [] for h in six.moves.range(self.aheads): att_conv = self.loc_conv[h](att_prev[h].view(batch, 1, 1, self.h_length)) att_conv = att_conv.squeeze(2).transpose(1, 2) att_conv = self.mlp_att[h](att_conv) e = self.gvec[h]( torch.tanh( self.pre_compute_k[h] + att_conv + self.mlp_q[h](dec_z).view(batch, 1, self.att_dim_k) ) ).squeeze(2) # NOTE consider zero padding when compute w. if self.mask is None: self.mask = to_device(enc_hs_pad, make_pad_mask(enc_hs_len)) e.masked_fill_(self.mask, -float("inf")) w += [F.softmax(scaling * e, dim=1)] # weighted sum over flames # utt x hdim # NOTE use bmm instead of sum(*) c += [ torch.sum( self.pre_compute_v[h] * w[h].view(batch, self.h_length, 1), dim=1 ) ] # concat all of c c = self.mlp_o(torch.cat(c, dim=1)) return c, w class AttMultiHeadMultiResLoc(torch.nn.Module): """Multi head multi resolution location based attention Reference: Attention is all you need (https://arxiv.org/abs/1706.03762) This attention is multi head attention using location-aware attention for each head. Furthermore, it uses different filter size for each head. :param int eprojs: # projection-units of encoder :param int dunits: # units of decoder :param int aheads: # heads of multi head attention :param int att_dim_k: dimension k in multi head attention :param int att_dim_v: dimension v in multi head attention :param int aconv_chans: maximum # channels of attention convolution each head use #ch = aconv_chans * (head + 1) / aheads e.g. aheads=4, aconv_chans=100 => filter size = 25, 50, 75, 100 :param int aconv_filts: filter size of attention convolution :param bool han_mode: flag to swith on mode of hierarchical attention and not store pre_compute_k and pre_compute_v """ def __init__( self, eprojs, dunits, aheads, att_dim_k, att_dim_v, aconv_chans, aconv_filts, han_mode=False, ): super(AttMultiHeadMultiResLoc, self).__init__() self.mlp_q = torch.nn.ModuleList() self.mlp_k = torch.nn.ModuleList() self.mlp_v = torch.nn.ModuleList() self.gvec = torch.nn.ModuleList() self.loc_conv = torch.nn.ModuleList() self.mlp_att = torch.nn.ModuleList() for h in six.moves.range(aheads): self.mlp_q += [torch.nn.Linear(dunits, att_dim_k)] self.mlp_k += [torch.nn.Linear(eprojs, att_dim_k, bias=False)] self.mlp_v += [torch.nn.Linear(eprojs, att_dim_v, bias=False)] self.gvec += [torch.nn.Linear(att_dim_k, 1)] afilts = aconv_filts * (h + 1) // aheads self.loc_conv += [ torch.nn.Conv2d( 1, aconv_chans, (1, 2 * afilts + 1), padding=(0, afilts), bias=False ) ] self.mlp_att += [torch.nn.Linear(aconv_chans, att_dim_k, bias=False)] self.mlp_o = torch.nn.Linear(aheads * att_dim_v, eprojs, bias=False) self.dunits = dunits self.eprojs = eprojs self.aheads = aheads self.att_dim_k = att_dim_k self.att_dim_v = att_dim_v self.scaling = 1.0 / math.sqrt(att_dim_k) self.h_length = None self.enc_h = None self.pre_compute_k = None self.pre_compute_v = None self.mask = None self.han_mode = han_mode def reset(self): """reset states""" self.h_length = None self.enc_h = None self.pre_compute_k = None self.pre_compute_v = None self.mask = None def forward(self, enc_hs_pad, enc_hs_len, dec_z, att_prev): """AttMultiHeadMultiResLoc forward :param torch.Tensor enc_hs_pad: padded encoder hidden state (B x T_max x D_enc) :param list enc_hs_len: padded encoder hidden state length (B) :param torch.Tensor dec_z: decoder hidden state (B x D_dec) :param torch.Tensor att_prev: list of previous attention weight (B x T_max) * aheads :return: attention weighted encoder state (B x D_enc) :rtype: torch.Tensor :return: list of previous attention weight (B x T_max) * aheads :rtype: list """ batch = enc_hs_pad.size(0) # pre-compute all k and v outside the decoder loop if self.pre_compute_k is None or self.han_mode: self.enc_h = enc_hs_pad # utt x frame x hdim self.h_length = self.enc_h.size(1) # utt x frame x att_dim self.pre_compute_k = [ self.mlp_k[h](self.enc_h) for h in six.moves.range(self.aheads) ] if self.pre_compute_v is None or self.han_mode: self.enc_h = enc_hs_pad # utt x frame x hdim self.h_length = self.enc_h.size(1) # utt x frame x att_dim self.pre_compute_v = [ self.mlp_v[h](self.enc_h) for h in six.moves.range(self.aheads) ] if dec_z is None: dec_z = enc_hs_pad.new_zeros(batch, self.dunits) else: dec_z = dec_z.view(batch, self.dunits) if att_prev is None: att_prev = [] for _ in six.moves.range(self.aheads): # if no bias, 0 0-pad goes 0 mask = 1.0 - make_pad_mask(enc_hs_len).float() att_prev += [ to_device(enc_hs_pad, mask / mask.new(enc_hs_len).unsqueeze(-1)) ] c = [] w = [] for h in six.moves.range(self.aheads): att_conv = self.loc_conv[h](att_prev[h].view(batch, 1, 1, self.h_length)) att_conv = att_conv.squeeze(2).transpose(1, 2) att_conv = self.mlp_att[h](att_conv) e = self.gvec[h]( torch.tanh( self.pre_compute_k[h] + att_conv + self.mlp_q[h](dec_z).view(batch, 1, self.att_dim_k) ) ).squeeze(2) # NOTE consider zero padding when compute w. if self.mask is None: self.mask = to_device(enc_hs_pad, make_pad_mask(enc_hs_len)) e.masked_fill_(self.mask, -float("inf")) w += [F.softmax(self.scaling * e, dim=1)] # weighted sum over flames # utt x hdim # NOTE use bmm instead of sum(*) c += [ torch.sum( self.pre_compute_v[h] * w[h].view(batch, self.h_length, 1), dim=1 ) ] # concat all of c c = self.mlp_o(torch.cat(c, dim=1)) return c, w class AttForward(torch.nn.Module): """Forward attention module. Reference: Forward attention in sequence-to-sequence acoustic modeling for speech synthesis (https://arxiv.org/pdf/1807.06736.pdf) :param int eprojs: # projection-units of encoder :param int dunits: # units of decoder :param int att_dim: attention dimension :param int aconv_chans: # channels of attention convolution :param int aconv_filts: filter size of attention convolution """ def __init__(self, eprojs, dunits, att_dim, aconv_chans, aconv_filts): super(AttForward, self).__init__() self.mlp_enc = torch.nn.Linear(eprojs, att_dim) self.mlp_dec = torch.nn.Linear(dunits, att_dim, bias=False) self.mlp_att = torch.nn.Linear(aconv_chans, att_dim, bias=False) self.loc_conv = torch.nn.Conv2d( 1, aconv_chans, (1, 2 * aconv_filts + 1), padding=(0, aconv_filts), bias=False, ) self.gvec = torch.nn.Linear(att_dim, 1) self.dunits = dunits self.eprojs = eprojs self.att_dim = att_dim self.h_length = None self.enc_h = None self.pre_compute_enc_h = None self.mask = None def reset(self): """reset states""" self.h_length = None self.enc_h = None self.pre_compute_enc_h = None self.mask = None def forward( self, enc_hs_pad, enc_hs_len, dec_z, att_prev, scaling=1.0, last_attended_idx=None, backward_window=1, forward_window=3, ): """Calculate AttForward forward propagation. :param torch.Tensor enc_hs_pad: padded encoder hidden state (B x T_max x D_enc) :param list enc_hs_len: padded encoder hidden state length (B) :param torch.Tensor dec_z: decoder hidden state (B x D_dec) :param torch.Tensor att_prev: attention weights of previous step :param float scaling: scaling parameter before applying softmax :param int last_attended_idx: index of the inputs of the last attended :param int backward_window: backward window size in attention constraint :param int forward_window: forward window size in attetion constraint :return: attention weighted encoder state (B, D_enc) :rtype: torch.Tensor :return: previous attention weights (B x T_max) :rtype: torch.Tensor """ batch = len(enc_hs_pad) # pre-compute all h outside the decoder loop if self.pre_compute_enc_h is None: self.enc_h = enc_hs_pad # utt x frame x hdim self.h_length = self.enc_h.size(1) # utt x frame x att_dim self.pre_compute_enc_h = self.mlp_enc(self.enc_h) if dec_z is None: dec_z = enc_hs_pad.new_zeros(batch, self.dunits) else: dec_z = dec_z.view(batch, self.dunits) if att_prev is None: # initial attention will be [1, 0, 0, ...] att_prev = enc_hs_pad.new_zeros(*enc_hs_pad.size()[:2]) att_prev[:, 0] = 1.0 # att_prev: utt x frame -> utt x 1 x 1 x frame # -> utt x att_conv_chans x 1 x frame att_conv = self.loc_conv(att_prev.view(batch, 1, 1, self.h_length)) # att_conv: utt x att_conv_chans x 1 x frame -> utt x frame x att_conv_chans att_conv = att_conv.squeeze(2).transpose(1, 2) # att_conv: utt x frame x att_conv_chans -> utt x frame x att_dim att_conv = self.mlp_att(att_conv) # dec_z_tiled: utt x frame x att_dim dec_z_tiled = self.mlp_dec(dec_z).unsqueeze(1) # dot with gvec # utt x frame x att_dim -> utt x frame e = self.gvec( torch.tanh(self.pre_compute_enc_h + dec_z_tiled + att_conv) ).squeeze(2) # NOTE: consider zero padding when compute w. if self.mask is None: self.mask = to_device(enc_hs_pad, make_pad_mask(enc_hs_len)) e.masked_fill_(self.mask, -float("inf")) # apply monotonic attention constraint (mainly for TTS) if last_attended_idx is not None: e = _apply_attention_constraint( e, last_attended_idx, backward_window, forward_window ) w = F.softmax(scaling * e, dim=1) # forward attention att_prev_shift = F.pad(att_prev, (1, 0))[:, :-1] w = (att_prev + att_prev_shift) * w # NOTE: clamp is needed to avoid nan gradient w = F.normalize(torch.clamp(w, 1e-6), p=1, dim=1) # weighted sum over flames # utt x hdim # NOTE use bmm instead of sum(*) c = torch.sum(self.enc_h * w.unsqueeze(-1), dim=1) return c, w class AttForwardTA(torch.nn.Module): """Forward attention with transition agent module. Reference: Forward attention in sequence-to-sequence acoustic modeling for speech synthesis (https://arxiv.org/pdf/1807.06736.pdf) :param int eunits: # units of encoder :param int dunits: # units of decoder :param int att_dim: attention dimension :param int aconv_chans: # channels of attention convolution :param int aconv_filts: filter size of attention convolution :param int odim: output dimension """ def __init__(self, eunits, dunits, att_dim, aconv_chans, aconv_filts, odim): super(AttForwardTA, self).__init__() self.mlp_enc = torch.nn.Linear(eunits, att_dim) self.mlp_dec = torch.nn.Linear(dunits, att_dim, bias=False) self.mlp_ta = torch.nn.Linear(eunits + dunits + odim, 1) self.mlp_att = torch.nn.Linear(aconv_chans, att_dim, bias=False) self.loc_conv = torch.nn.Conv2d( 1, aconv_chans, (1, 2 * aconv_filts + 1), padding=(0, aconv_filts), bias=False, ) self.gvec = torch.nn.Linear(att_dim, 1) self.dunits = dunits self.eunits = eunits self.att_dim = att_dim self.h_length = None self.enc_h = None self.pre_compute_enc_h = None self.mask = None self.trans_agent_prob = 0.5 def reset(self): self.h_length = None self.enc_h = None self.pre_compute_enc_h = None self.mask = None self.trans_agent_prob = 0.5 def forward( self, enc_hs_pad, enc_hs_len, dec_z, att_prev, out_prev, scaling=1.0, last_attended_idx=None, backward_window=1, forward_window=3, ): """Calculate AttForwardTA forward propagation. :param torch.Tensor enc_hs_pad: padded encoder hidden state (B, Tmax, eunits) :param list enc_hs_len: padded encoder hidden state length (B) :param torch.Tensor dec_z: decoder hidden state (B, dunits) :param torch.Tensor att_prev: attention weights of previous step :param torch.Tensor out_prev: decoder outputs of previous step (B, odim) :param float scaling: scaling parameter before applying softmax :param int last_attended_idx: index of the inputs of the last attended :param int backward_window: backward window size in attention constraint :param int forward_window: forward window size in attetion constraint :return: attention weighted encoder state (B, dunits) :rtype: torch.Tensor :return: previous attention weights (B, Tmax) :rtype: torch.Tensor """ batch = len(enc_hs_pad) # pre-compute all h outside the decoder loop if self.pre_compute_enc_h is None: self.enc_h = enc_hs_pad # utt x frame x hdim self.h_length = self.enc_h.size(1) # utt x frame x att_dim self.pre_compute_enc_h = self.mlp_enc(self.enc_h) if dec_z is None: dec_z = enc_hs_pad.new_zeros(batch, self.dunits) else: dec_z = dec_z.view(batch, self.dunits) if att_prev is None: # initial attention will be [1, 0, 0, ...] att_prev = enc_hs_pad.new_zeros(*enc_hs_pad.size()[:2]) att_prev[:, 0] = 1.0 # att_prev: utt x frame -> utt x 1 x 1 x frame # -> utt x att_conv_chans x 1 x frame att_conv = self.loc_conv(att_prev.view(batch, 1, 1, self.h_length)) # att_conv: utt x att_conv_chans x 1 x frame -> utt x frame x att_conv_chans att_conv = att_conv.squeeze(2).transpose(1, 2) # att_conv: utt x frame x att_conv_chans -> utt x frame x att_dim att_conv = self.mlp_att(att_conv) # dec_z_tiled: utt x frame x att_dim dec_z_tiled = self.mlp_dec(dec_z).view(batch, 1, self.att_dim) # dot with gvec # utt x frame x att_dim -> utt x frame e = self.gvec( torch.tanh(att_conv + self.pre_compute_enc_h + dec_z_tiled) ).squeeze(2) # NOTE consider zero padding when compute w. if self.mask is None: self.mask = to_device(enc_hs_pad, make_pad_mask(enc_hs_len)) e.masked_fill_(self.mask, -float("inf")) # apply monotonic attention constraint (mainly for SVS) if last_attended_idx is not None: e = _apply_attention_constraint( e, last_attended_idx, backward_window, forward_window ) w = F.softmax(scaling * e, dim=1) # forward attention att_prev_shift = F.pad(att_prev, (1, 0))[:, :-1] w = ( self.trans_agent_prob * att_prev + (1 - self.trans_agent_prob) * att_prev_shift ) * w # NOTE: clamp is needed to avoid nan gradient w = F.normalize(torch.clamp(w, 1e-6), p=1, dim=1) # weighted sum over flames # utt x hdim # NOTE use bmm instead of sum(*) c = torch.sum(self.enc_h * w.view(batch, self.h_length, 1), dim=1) # update transition agent prob self.trans_agent_prob = torch.sigmoid( self.mlp_ta(torch.cat([c, out_prev, dec_z], dim=1)) ) return c, w def att_for(args, num_att=1, han_mode=False): """Instantiates an attention module given the program arguments :param Namespace args: The arguments :param int num_att: number of attention modules (in multi-speaker case, it can be 2 or more) :param bool han_mode: switch on/off mode of hierarchical attention network (HAN) :rtype torch.nn.Module :return: The attention module """ att_list = torch.nn.ModuleList() num_encs = getattr(args, "num_encs", 1) # use getattr to keep compatibility aheads = getattr(args, "aheads", None) awin = getattr(args, "awin", None) aconv_chans = getattr(args, "aconv_chans", None) aconv_filts = getattr(args, "aconv_filts", None) if num_encs == 1: for i in range(num_att): att = initial_att( args.atype, args.eprojs, args.dunits, aheads, args.adim, awin, aconv_chans, aconv_filts, ) att_list.append(att) elif num_encs > 1: # no multi-speaker mode if han_mode: att = initial_att( args.han_type, args.eprojs, args.dunits, args.han_heads, args.han_dim, args.han_win, args.han_conv_chans, args.han_conv_filts, han_mode=True, ) return att else: att_list = torch.nn.ModuleList() for idx in range(num_encs): att = initial_att( args.atype[idx], args.eprojs, args.dunits, aheads[idx], args.adim[idx], awin[idx], aconv_chans[idx], aconv_filts[idx], ) att_list.append(att) else: raise ValueError( "Number of encoders needs to be more than one. {}".format(num_encs) ) return att_list def initial_att( atype, eprojs, dunits, aheads, adim, awin, aconv_chans, aconv_filts, han_mode=False ): """Instantiates a single attention module :param str atype: attention type :param int eprojs: # projection-units of encoder :param int dunits: # units of decoder :param int aheads: # heads of multi head attention :param int adim: attention dimension :param int awin: attention window size :param int aconv_chans: # channels of attention convolution :param int aconv_filts: filter size of attention convolution :param bool han_mode: flag to swith on mode of hierarchical attention :return: The attention module """ if atype == "noatt": att = NoAtt() elif atype == "dot": att = AttDot(eprojs, dunits, adim, han_mode) elif atype == "add": att = AttAdd(eprojs, dunits, adim, han_mode) elif atype == "location": att = AttLoc(eprojs, dunits, adim, aconv_chans, aconv_filts, han_mode) elif atype == "location2d": att = AttLoc2D(eprojs, dunits, adim, awin, aconv_chans, aconv_filts, han_mode) elif atype == "location_recurrent": att = AttLocRec(eprojs, dunits, adim, aconv_chans, aconv_filts, han_mode) elif atype == "coverage": att = AttCov(eprojs, dunits, adim, han_mode) elif atype == "coverage_location": att = AttCovLoc(eprojs, dunits, adim, aconv_chans, aconv_filts, han_mode) elif atype == "multi_head_dot": att = AttMultiHeadDot(eprojs, dunits, aheads, adim, adim, han_mode) elif atype == "multi_head_add": att = AttMultiHeadAdd(eprojs, dunits, aheads, adim, adim, han_mode) elif atype == "multi_head_loc": att = AttMultiHeadLoc( eprojs, dunits, aheads, adim, adim, aconv_chans, aconv_filts, han_mode ) elif atype == "multi_head_multi_res_loc": att = AttMultiHeadMultiResLoc( eprojs, dunits, aheads, adim, adim, aconv_chans, aconv_filts, han_mode ) return att def att_to_numpy(att_ws, att): """Converts attention weights to a numpy array given the attention :param list att_ws: The attention weights :param torch.nn.Module att: The attention :rtype: np.ndarray :return: The numpy array of the attention weights """ # convert to numpy array with the shape (B, Lmax, Tmax) if isinstance(att, AttLoc2D): # att_ws => list of previous concate attentions att_ws = torch.stack([aw[:, -1] for aw in att_ws], dim=1).cpu().numpy() elif isinstance(att, (AttCov, AttCovLoc)): # att_ws => list of list of previous attentions att_ws = ( torch.stack([aw[idx] for idx, aw in enumerate(att_ws)], dim=1).cpu().numpy() ) elif isinstance(att, AttLocRec): # att_ws => list of tuple of attention and hidden states att_ws = torch.stack([aw[0] for aw in att_ws], dim=1).cpu().numpy() elif isinstance( att, (AttMultiHeadDot, AttMultiHeadAdd, AttMultiHeadLoc, AttMultiHeadMultiResLoc), ): # att_ws => list of list of each head attention n_heads = len(att_ws[0]) att_ws_sorted_by_head = [] for h in six.moves.range(n_heads): att_ws_head = torch.stack([aw[h] for aw in att_ws], dim=1) att_ws_sorted_by_head += [att_ws_head] att_ws = torch.stack(att_ws_sorted_by_head, dim=1).cpu().numpy() else: # att_ws => list of attentions att_ws = torch.stack(att_ws, dim=1).cpu().numpy() return att_ws

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py

Python

tests/test_client_ws_functional.py

Qix-/aiohttp

aee067dccad3dc0e79778a1b213105f20bf39baf

[ "Apache-2.0" ]

1

2021-04-08T19:17:09.000Z

tests/test_client_ws_functional.py

Qix-/aiohttp

aee067dccad3dc0e79778a1b213105f20bf39baf

[ "Apache-2.0" ]

null

tests/test_client_ws_functional.py

Qix-/aiohttp

aee067dccad3dc0e79778a1b213105f20bf39baf

[ "Apache-2.0" ]

null

import asyncio import async_timeout import pytest import aiohttp from aiohttp import hdrs, web from aiohttp.client_ws import ClientWSTimeout @pytest.fixture def ceil(mocker): def ceil(val): return val mocker.patch('aiohttp.helpers.ceil').side_effect = ceil async def test_send_recv_text(aiohttp_client) -> None: async def handler(request): ws = web.WebSocketResponse() await ws.prepare(request) msg = await ws.receive_str() await ws.send_str(msg+'/answer') await ws.close() return ws app = web.Application() app.router.add_route('GET', '/', handler) client = await aiohttp_client(app) resp = await client.ws_connect('/') await resp.send_str('ask') assert resp.get_extra_info('socket') is not None data = await resp.receive_str() assert data == 'ask/answer' await resp.close() assert resp.get_extra_info('socket') is None async def test_send_recv_bytes_bad_type(aiohttp_client) -> None: async def handler(request): ws = web.WebSocketResponse() await ws.prepare(request) msg = await ws.receive_str() await ws.send_str(msg+'/answer') await ws.close() return ws app = web.Application() app.router.add_route('GET', '/', handler) client = await aiohttp_client(app) resp = await client.ws_connect('/') await resp.send_str('ask') with pytest.raises(TypeError): await resp.receive_bytes() await resp.close() async def test_send_recv_bytes(aiohttp_client) -> None: async def handler(request): ws = web.WebSocketResponse() await ws.prepare(request) msg = await ws.receive_bytes() await ws.send_bytes(msg+b'/answer') await ws.close() return ws app = web.Application() app.router.add_route('GET', '/', handler) client = await aiohttp_client(app) resp = await client.ws_connect('/') await resp.send_bytes(b'ask') data = await resp.receive_bytes() assert data == b'ask/answer' await resp.close() async def test_send_recv_text_bad_type(aiohttp_client) -> None: async def handler(request): ws = web.WebSocketResponse() await ws.prepare(request) msg = await ws.receive_bytes() await ws.send_bytes(msg+b'/answer') await ws.close() return ws app = web.Application() app.router.add_route('GET', '/', handler) client = await aiohttp_client(app) resp = await client.ws_connect('/') await resp.send_bytes(b'ask') with pytest.raises(TypeError): await resp.receive_str() await resp.close() async def test_send_recv_json(aiohttp_client) -> None: async def handler(request): ws = web.WebSocketResponse() await ws.prepare(request) data = await ws.receive_json() await ws.send_json({'response': data['request']}) await ws.close() return ws app = web.Application() app.router.add_route('GET', '/', handler) client = await aiohttp_client(app) resp = await client.ws_connect('/') payload = {'request': 'test'} await resp.send_json(payload) data = await resp.receive_json() assert data['response'] == payload['request'] await resp.close() async def test_ping_pong(aiohttp_client) -> None: loop = asyncio.get_event_loop() closed = loop.create_future() async def handler(request): ws = web.WebSocketResponse() await ws.prepare(request) msg = await ws.receive_bytes() await ws.ping() await ws.send_bytes(msg+b'/answer') try: await ws.close() finally: closed.set_result(1) return ws app = web.Application() app.router.add_route('GET', '/', handler) client = await aiohttp_client(app) resp = await client.ws_connect('/') await resp.ping() await resp.send_bytes(b'ask') msg = await resp.receive() assert msg.type == aiohttp.WSMsgType.BINARY assert msg.data == b'ask/answer' msg = await resp.receive() assert msg.type == aiohttp.WSMsgType.CLOSE await resp.close() await closed async def test_ping_pong_manual(aiohttp_client) -> None: loop = asyncio.get_event_loop() closed = loop.create_future() async def handler(request): ws = web.WebSocketResponse() await ws.prepare(request) msg = await ws.receive_bytes() await ws.ping() await ws.send_bytes(msg+b'/answer') try: await ws.close() finally: closed.set_result(1) return ws app = web.Application() app.router.add_route('GET', '/', handler) client = await aiohttp_client(app) resp = await client.ws_connect('/', autoping=False) await resp.ping() await resp.send_bytes(b'ask') msg = await resp.receive() assert msg.type == aiohttp.WSMsgType.PONG msg = await resp.receive() assert msg.type == aiohttp.WSMsgType.PING await resp.pong() msg = await resp.receive() assert msg.data == b'ask/answer' msg = await resp.receive() assert msg.type == aiohttp.WSMsgType.CLOSE await closed async def test_close(aiohttp_client) -> None: async def handler(request): ws = web.WebSocketResponse() await ws.prepare(request) await ws.receive_bytes() await ws.send_str('test') await ws.receive() return ws app = web.Application() app.router.add_route('GET', '/', handler) client = await aiohttp_client(app) resp = await client.ws_connect('/') await resp.send_bytes(b'ask') closed = await resp.close() assert closed assert resp.closed assert resp.close_code == 1000 msg = await resp.receive() assert msg.type == aiohttp.WSMsgType.CLOSED async def test_concurrent_close(aiohttp_client) -> None: client_ws = None async def handler(request): nonlocal client_ws ws = web.WebSocketResponse() await ws.prepare(request) await ws.receive_bytes() await ws.send_str('test') await client_ws.close() msg = await ws.receive() assert msg.type == aiohttp.WSMsgType.CLOSE return ws app = web.Application() app.router.add_route('GET', '/', handler) client = await aiohttp_client(app) ws = client_ws = await client.ws_connect('/') await ws.send_bytes(b'ask') msg = await ws.receive() assert msg.type == aiohttp.WSMsgType.CLOSING await asyncio.sleep(0.01) msg = await ws.receive() assert msg.type == aiohttp.WSMsgType.CLOSED async def test_close_from_server(aiohttp_client) -> None: loop = asyncio.get_event_loop() closed = loop.create_future() async def handler(request): ws = web.WebSocketResponse() await ws.prepare(request) try: await ws.receive_bytes() await ws.close() finally: closed.set_result(1) return ws app = web.Application() app.router.add_route('GET', '/', handler) client = await aiohttp_client(app) resp = await client.ws_connect('/') await resp.send_bytes(b'ask') msg = await resp.receive() assert msg.type == aiohttp.WSMsgType.CLOSE assert resp.closed msg = await resp.receive() assert msg.type == aiohttp.WSMsgType.CLOSED await closed async def test_close_manual(aiohttp_client) -> None: loop = asyncio.get_event_loop() closed = loop.create_future() async def handler(request): ws = web.WebSocketResponse() await ws.prepare(request) await ws.receive_bytes() await ws.send_str('test') try: await ws.close() finally: closed.set_result(1) return ws app = web.Application() app.router.add_route('GET', '/', handler) client = await aiohttp_client(app) resp = await client.ws_connect('/', autoclose=False) await resp.send_bytes(b'ask') msg = await resp.receive() assert msg.data == 'test' msg = await resp.receive() assert msg.type == aiohttp.WSMsgType.CLOSE assert msg.data == 1000 assert msg.extra == '' assert not resp.closed await resp.close() await closed assert resp.closed async def test_close_timeout_sock_close_read(aiohttp_client) -> None: async def handler(request): ws = web.WebSocketResponse() await ws.prepare(request) await ws.receive_bytes() await ws.send_str('test') await asyncio.sleep(1) return ws app = web.Application() app.router.add_route('GET', '/', handler) client = await aiohttp_client(app) timeout = ClientWSTimeout(ws_close=0.2) resp = await client.ws_connect('/', timeout=timeout, autoclose=False) await resp.send_bytes(b'ask') msg = await resp.receive() assert msg.data == 'test' assert msg.type == aiohttp.WSMsgType.TEXT msg = await resp.close() assert resp.closed assert isinstance(resp.exception(), asyncio.TimeoutError) async def test_close_timeout_deprecated(aiohttp_client) -> None: async def handler(request): ws = web.WebSocketResponse() await ws.prepare(request) await ws.receive_bytes() await ws.send_str('test') await asyncio.sleep(1) return ws app = web.Application() app.router.add_route('GET', '/', handler) client = await aiohttp_client(app) with pytest.warns(DeprecationWarning, match="parameter 'timeout' of type 'float' " "is deprecated, please use " r"'timeout=ClientWSTimeout$ws_close=...$'" ): resp = await client.ws_connect('/', timeout=0.2, autoclose=False) await resp.send_bytes(b'ask') msg = await resp.receive() assert msg.data == 'test' assert msg.type == aiohttp.WSMsgType.TEXT msg = await resp.close() assert resp.closed assert isinstance(resp.exception(), asyncio.TimeoutError) async def test_close_cancel(aiohttp_client) -> None: loop = asyncio.get_event_loop() async def handler(request): ws = web.WebSocketResponse() await ws.prepare(request) await ws.receive_bytes() await ws.send_str('test') await asyncio.sleep(10) app = web.Application() app.router.add_route('GET', '/', handler) client = await aiohttp_client(app) resp = await client.ws_connect('/', autoclose=False) await resp.send_bytes(b'ask') text = await resp.receive() assert text.data == 'test' t = loop.create_task(resp.close()) await asyncio.sleep(0.1) t.cancel() await asyncio.sleep(0.1) assert resp.closed assert resp.exception() is None async def test_override_default_headers(aiohttp_client) -> None: async def handler(request): assert request.headers[hdrs.SEC_WEBSOCKET_VERSION] == '8' ws = web.WebSocketResponse() await ws.prepare(request) await ws.send_str('answer') await ws.close() return ws app = web.Application() app.router.add_route('GET', '/', handler) headers = {hdrs.SEC_WEBSOCKET_VERSION: '8'} client = await aiohttp_client(app) resp = await client.ws_connect('/', headers=headers) msg = await resp.receive() assert msg.data == 'answer' await resp.close() async def test_additional_headers(aiohttp_client) -> None: async def handler(request): assert request.headers['x-hdr'] == 'xtra' ws = web.WebSocketResponse() await ws.prepare(request) await ws.send_str('answer') await ws.close() return ws app = web.Application() app.router.add_route('GET', '/', handler) client = await aiohttp_client(app) resp = await client.ws_connect('/', headers={'x-hdr': 'xtra'}) msg = await resp.receive() assert msg.data == 'answer' await resp.close() async def test_recv_protocol_error(aiohttp_client) -> None: async def handler(request): ws = web.WebSocketResponse() await ws.prepare(request) await ws.receive_str() ws._writer.transport.write(b'01234' * 100) await ws.close() return ws app = web.Application() app.router.add_route('GET', '/', handler) client = await aiohttp_client(app) resp = await client.ws_connect('/') await resp.send_str('ask') msg = await resp.receive() assert msg.type == aiohttp.WSMsgType.ERROR assert type(msg.data) is aiohttp.WebSocketError assert msg.data.code == aiohttp.WSCloseCode.PROTOCOL_ERROR assert str(msg.data) == 'Received frame with non-zero reserved bits' assert msg.extra is None await resp.close() async def test_recv_timeout(aiohttp_client) -> None: async def handler(request): ws = web.WebSocketResponse() await ws.prepare(request) await ws.receive_str() await asyncio.sleep(0.1) await ws.close() return ws app = web.Application() app.router.add_route('GET', '/', handler) client = await aiohttp_client(app) resp = await client.ws_connect('/') await resp.send_str('ask') with pytest.raises(asyncio.TimeoutError): with async_timeout.timeout(0.01): await resp.receive() await resp.close() async def test_receive_timeout_sock_read(aiohttp_client) -> None: async def handler(request): ws = web.WebSocketResponse() await ws.prepare(request) await ws.receive() await ws.close() return ws app = web.Application() app.router.add_route('GET', '/', handler) client = await aiohttp_client(app) receive_timeout = ClientWSTimeout(ws_receive=0.1) resp = await client.ws_connect('/', timeout=receive_timeout) with pytest.raises(asyncio.TimeoutError): await resp.receive(timeout=0.05) await resp.close() async def test_receive_timeout_deprecation(aiohttp_client) -> None: async def handler(request): ws = web.WebSocketResponse() await ws.prepare(request) await ws.receive() await ws.close() return ws app = web.Application() app.router.add_route('GET', '/', handler) client = await aiohttp_client(app) with pytest.warns( DeprecationWarning, match="float parameter 'receive_timeout' " "is deprecated, please use parameter " r"'timeout=ClientWSTimeout$ws_receive=...$'" ): resp = await client.ws_connect('/', receive_timeout=0.1) with pytest.raises(asyncio.TimeoutError): await resp.receive(timeout=0.05) await resp.close() async def test_custom_receive_timeout(aiohttp_client) -> None: async def handler(request): ws = web.WebSocketResponse() await ws.prepare(request) await ws.receive() await ws.close() return ws app = web.Application() app.router.add_route('GET', '/', handler) client = await aiohttp_client(app) resp = await client.ws_connect('/') with pytest.raises(asyncio.TimeoutError): await resp.receive(0.05) await resp.close() async def test_heartbeat(aiohttp_client, ceil) -> None: ping_received = False async def handler(request): nonlocal ping_received ws = web.WebSocketResponse(autoping=False) await ws.prepare(request) msg = await ws.receive() if msg.type == aiohttp.WSMsgType.PING: ping_received = True await ws.close() return ws app = web.Application() app.router.add_route('GET', '/', handler) client = await aiohttp_client(app) resp = await client.ws_connect('/', heartbeat=0.01) await asyncio.sleep(0.1) await resp.receive() await resp.close() assert ping_received async def test_heartbeat_no_pong(aiohttp_client, ceil) -> None: ping_received = False async def handler(request): nonlocal ping_received ws = web.WebSocketResponse(autoping=False) await ws.prepare(request) msg = await ws.receive() if msg.type == aiohttp.WSMsgType.PING: ping_received = True await ws.receive() return ws app = web.Application() app.router.add_route('GET', '/', handler) client = await aiohttp_client(app) resp = await client.ws_connect('/', heartbeat=0.05) await resp.receive() await resp.receive() assert ping_received async def test_send_recv_compress(aiohttp_client) -> None: async def handler(request): ws = web.WebSocketResponse() await ws.prepare(request) msg = await ws.receive_str() await ws.send_str(msg+'/answer') await ws.close() return ws app = web.Application() app.router.add_route('GET', '/', handler) client = await aiohttp_client(app) resp = await client.ws_connect('/', compress=15) await resp.send_str('ask') assert resp.compress == 15 data = await resp.receive_str() assert data == 'ask/answer' await resp.close() assert resp.get_extra_info('socket') is None async def test_send_recv_compress_wbits(aiohttp_client) -> None: async def handler(request): ws = web.WebSocketResponse() await ws.prepare(request) msg = await ws.receive_str() await ws.send_str(msg+'/answer') await ws.close() return ws app = web.Application() app.router.add_route('GET', '/', handler) client = await aiohttp_client(app) resp = await client.ws_connect('/', compress=9) await resp.send_str('ask') # Client indicates supports wbits 15 # Server supports wbit 15 for decode assert resp.compress == 15 data = await resp.receive_str() assert data == 'ask/answer' await resp.close() assert resp.get_extra_info('socket') is None async def test_send_recv_compress_wbit_error(aiohttp_client) -> None: async def handler(request): ws = web.WebSocketResponse() await ws.prepare(request) msg = await ws.receive_bytes() await ws.send_bytes(msg+b'/answer') await ws.close() return ws app = web.Application() app.router.add_route('GET', '/', handler) client = await aiohttp_client(app) with pytest.raises(ValueError): await client.ws_connect('/', compress=1) async def test_ws_client_async_for(aiohttp_client) -> None: items = ['q1', 'q2', 'q3'] async def handler(request): ws = web.WebSocketResponse() await ws.prepare(request) for i in items: await ws.send_str(i) await ws.close() return ws app = web.Application() app.router.add_route('GET', '/', handler) client = await aiohttp_client(app) resp = await client.ws_connect('/') it = iter(items) async for msg in resp: assert msg.data == next(it) with pytest.raises(StopIteration): next(it) assert resp.closed async def test_ws_async_with(aiohttp_server) -> None: async def handler(request): ws = web.WebSocketResponse() await ws.prepare(request) msg = await ws.receive() await ws.send_str(msg.data + '/answer') await ws.close() return ws app = web.Application() app.router.add_route('GET', '/', handler) server = await aiohttp_server(app) async with aiohttp.ClientSession() as client: async with client.ws_connect(server.make_url('/')) as ws: await ws.send_str('request') msg = await ws.receive() assert msg.data == 'request/answer' assert ws.closed async def test_ws_async_with_send(aiohttp_server) -> None: # send_xxx methods have to return awaitable objects async def handler(request): ws = web.WebSocketResponse() await ws.prepare(request) msg = await ws.receive() await ws.send_str(msg.data + '/answer') await ws.close() return ws app = web.Application() app.router.add_route('GET', '/', handler) server = await aiohttp_server(app) async with aiohttp.ClientSession() as client: async with client.ws_connect(server.make_url('/')) as ws: await ws.send_str('request') msg = await ws.receive() assert msg.data == 'request/answer' assert ws.closed async def test_ws_async_with_shortcut(aiohttp_server) -> None: async def handler(request): ws = web.WebSocketResponse() await ws.prepare(request) msg = await ws.receive() await ws.send_str(msg.data + '/answer') await ws.close() return ws app = web.Application() app.router.add_route('GET', '/', handler) server = await aiohttp_server(app) async with aiohttp.ClientSession() as client: async with client.ws_connect(server.make_url('/')) as ws: await ws.send_str('request') msg = await ws.receive() assert msg.data == 'request/answer' assert ws.closed async def test_closed_async_for(aiohttp_client) -> None: loop = asyncio.get_event_loop() closed = loop.create_future() async def handler(request): ws = web.WebSocketResponse() await ws.prepare(request) try: await ws.send_bytes(b'started') await ws.receive_bytes() finally: closed.set_result(1) return ws app = web.Application() app.router.add_route('GET', '/', handler) client = await aiohttp_client(app) resp = await client.ws_connect('/') messages = [] async for msg in resp: messages.append(msg) if b'started' == msg.data: await resp.send_bytes(b'ask') await resp.close() assert 1 == len(messages) assert messages[0].type == aiohttp.WSMsgType.BINARY assert messages[0].data == b'started' assert resp.closed await closed async def test_peer_connection_lost(aiohttp_client) -> None: async def handler(request): ws = web.WebSocketResponse() await ws.prepare(request) msg = await ws.receive_str() assert msg == 'ask' await ws.send_str('answer') request.transport.close() await asyncio.sleep(10) return ws app = web.Application() app.router.add_route('GET', '/', handler) client = await aiohttp_client(app) resp = await client.ws_connect('/') await resp.send_str('ask') assert 'answer' == await resp.receive_str() msg = await resp.receive() assert msg.type == aiohttp.WSMsgType.CLOSED await resp.close() async def test_peer_connection_lost_iter(aiohttp_client) -> None: async def handler(request): ws = web.WebSocketResponse() await ws.prepare(request) msg = await ws.receive_str() assert msg == 'ask' await ws.send_str('answer') request.transport.close() await asyncio.sleep(100) return ws app = web.Application() app.router.add_route('GET', '/', handler) client = await aiohttp_client(app) resp = await client.ws_connect('/') await resp.send_str('ask') async for msg in resp: assert 'answer' == msg.data await resp.close()

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7

0accd470a20893224c207d47f04ecbce13a8da79

4,756

py

Python

bert/graph_js.py

iitmnlp/BERT-Analysis-RCQA

8cf405e1192038f4a22ccc92330564aa1ad2341d

[ "MIT" ]

9

2020-11-17T12:43:13.000Z

2022-02-10T08:58:01.000Z

bert/graph_js.py

iitmnlp/BERT-Analysis-RCQA

8cf405e1192038f4a22ccc92330564aa1ad2341d

[ "MIT" ]

null

bert/graph_js.py

iitmnlp/BERT-Analysis-RCQA

8cf405e1192038f4a22ccc92330564aa1ad2341d

[ "MIT" ]

1

2021-04-06T12:14:55.000Z

''' ------------------------------- HEATMAPS ETC FOR JENSON SHANNON ------------------------------- ''' import numpy as np import os import matplotlib.pyplot as plt num=12 # number of layers ig_dir_name='ig_scores' # path to directory where IG scores npy's are stored dataset_name='squad' # name of dataset, for storage purposes - using 'squad' or 'duorc' num_to_remove=2 # number of scores to be removed from the top num_to_keep=2 # number of scores to be retained at the top # normal JSD graph q1=np.load(ig_dir_name+'/jenson_shannon_matrix.npy') print(len(q1)) print(q1[0].shape) qq=[np.average(q1,axis=0)] for i in range(len(qq)) : mat=qq[i] if not os.path.exists('js_heatmaps') : os.makedirs('js_heatmaps') path_to_save=os.path.join('js_heatmaps',dataset_name+'_normal_avg_1000')#,str(i)) plt.figure(figsize=(6,6)) plt.rc('xtick', labelsize=12) plt.rc('ytick', labelsize=12) font = {'family' : 'normal', 'weight' : 'normal', 'size' : 12} plt.rc('font', **font) plt.rcParams["axes.grid"] = False ticks = [str(j) for j in range(num)]#sent + ['<eos>'] #sns.heatmap(attns, annot=True, fmt="f", annot_kws={"size": 8}, center=0.5) #extent = (0, mat.shape[1], mat.shape[0], 0) plt.imshow(mat, interpolation='none', cmap='Blues',vmin=0,vmax=1)#,extent=extent) plt.xticks(range(len(ticks)), ticks, rotation=90,fontsize=12); plt.yticks(range(len(ticks)), ticks,fontsize=12); #plt.title('BERT - SQuAD Integrated Gradients JSD',fontsize=18) plt.title('BERT - '+dataset_name+' Integrated Gradients JSD',fontsize=18) for j in range(num) : for k in range(num) : text=plt.text(k,j,round(mat[j,k],2),ha="center",va="center",color="black",fontsize=11.5) #plt.colorbar(label='attention weights') #plt.grid(which='both',color='k',linestyle='-',linewidth='1') plt.tight_layout() plt.savefig(path_to_save) plt.close() q1=np.load(ig_dir_name+'/jenson_shannon_matrix_rem'+str(num_to_remove)+'.npy') print(len(q1)) print(q1[0].shape) qq=[np.average(q1,axis=0)] for i in range(len(qq)) : mat=qq[i] path_to_save=os.path.join('js_heatmaps',dataset_name+'_rem_'+str(num_to_remove)+'_avg_1000')#,str(i)) plt.figure(figsize=(6,6)) plt.rc('xtick', labelsize=12) plt.rc('ytick', labelsize=12) font = {'family' : 'normal', 'weight' : 'normal', 'size' : 12} plt.rc('font', **font) plt.rcParams["axes.grid"] = False ticks = [str(j) for j in range(num)]#sent + ['<eos>'] #sns.heatmap(attns, annot=True, fmt="f", annot_kws={"size": 8}, center=0.5) #extent = (0, mat.shape[1], mat.shape[0], 0) plt.imshow(mat, interpolation='none', cmap='Blues',vmin=0,vmax=1)#,extent=extent) plt.xticks(range(len(ticks)), ticks, rotation=90,fontsize=12); plt.yticks(range(len(ticks)), ticks,fontsize=12); #plt.title('BERT - SQuAD Integrated Gradients JSD \n Top 5 Retained',fontsize=18) plt.title('BERT - '+dataset_name+' Integrated Gradients JSD \n Top '+str(num_to_remove)+' Removed',fontsize=18) #plt.title('BERT - DuoRC Integrated Gradients JSD',fontsize=18) for j in range(num) : for k in range(num) : text=plt.text(k,j,round(mat[j,k],2),ha="center",va="center",color="black",fontsize=11.5) #plt.colorbar(label='attention weights') #plt.grid(which='both',color='k',linestyle='-',linewidth='1') plt.tight_layout() plt.savefig(path_to_save) plt.close() q1=np.load(ig_dir_name+'/jenson_shannon_matrix_keep'+str(num_to_keep)+'.npy') print(len(q1)) print(q1[0].shape) qq=[np.average(q1,axis=0)] for i in range(len(qq)) : mat=qq[i] path_to_save=os.path.join('js_heatmaps',dataset_name+'_rem_'+str(num_to_keep)+'_avg_1000')#,str(i)) plt.figure(figsize=(6,6)) plt.rc('xtick', labelsize=12) plt.rc('ytick', labelsize=12) font = {'family' : 'normal', 'weight' : 'normal', 'size' : 12} plt.rc('font', **font) plt.rcParams["axes.grid"] = False ticks = [str(j) for j in range(num)]#sent + ['<eos>'] #sns.heatmap(attns, annot=True, fmt="f", annot_kws={"size": 8}, center=0.5) #extent = (0, mat.shape[1], mat.shape[0], 0) plt.imshow(mat, interpolation='none', cmap='Blues',vmin=0,vmax=1)#,extent=extent) plt.xticks(range(len(ticks)), ticks, rotation=90,fontsize=12); plt.yticks(range(len(ticks)), ticks,fontsize=12); #plt.title('BERT - SQuAD Integrated Gradients JSD \n Top 5 Retained',fontsize=18) plt.title('BERT - '+dataset_name+' Integrated Gradients JSD \n Top '+str(num_to_keep)+' Removed',fontsize=18) #plt.title('BERT - DuoRC Integrated Gradients JSD',fontsize=18) for j in range(num) : for k in range(num) : text=plt.text(k,j,round(mat[j,k],2),ha="center",va="center",color="black",fontsize=11.5) #plt.colorbar(label='attention weights') #plt.grid(which='both',color='k',linestyle='-',linewidth='1') plt.tight_layout() plt.savefig(path_to_save) plt.close()

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null

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1

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1

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null

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7

0ae53d098be77e6e213dafbb75e0f65564c029a3

2,039

py

Python

majora2/migrations/0054_auto_20200411_1013.py

CLIMB-COVID/majora2

46ea1809a61e4a768f8cbacaf54cba5c4d82e1f2

[ "MIT" ]

29

2019-04-04T18:03:43.000Z

2022-02-09T12:47:30.000Z

majora2/migrations/0054_auto_20200411_1013.py

CLIMB-COVID/majora2

46ea1809a61e4a768f8cbacaf54cba5c4d82e1f2

[ "MIT" ]

66

2019-04-02T16:18:40.000Z

2022-01-25T16:15:42.000Z

majora2/migrations/0054_auto_20200411_1013.py

CLIMB-COVID/majora2

46ea1809a61e4a768f8cbacaf54cba5c4d82e1f2

[ "MIT" ]

6

2020-04-10T14:15:32.000Z

2022-01-18T13:08:35.000Z

# Generated by Django 2.2.10 on 2020-04-11 10:13 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('majora2', '0053_auto_20200411_0952'), ] operations = [ migrations.AlterField( model_name='majoraartifactprocessrecord', name='bridge_artifact', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='bridge_process', to='majora2.MajoraArtifact'), ), migrations.AlterField( model_name='majoraartifactprocessrecord', name='bridge_group', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='bridge_process', to='majora2.MajoraArtifactGroup'), ), migrations.AlterField( model_name='majoraartifactprocessrecord', name='in_artifact', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='before_process', to='majora2.MajoraArtifact'), ), migrations.AlterField( model_name='majoraartifactprocessrecord', name='in_group', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='before_process', to='majora2.MajoraArtifactGroup'), ), migrations.AlterField( model_name='majoraartifactprocessrecord', name='out_artifact', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='after_process', to='majora2.MajoraArtifact'), ), migrations.AlterField( model_name='majoraartifactprocessrecord', name='out_group', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='after_process', to='majora2.MajoraArtifactGroup'), ), ]

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null

0

1

0

1

0

null

0

7

7c151a5d65924d9c7230cb47d3bc5af7af840cf1

3,562

py

Python

src/blockcipher/modules/sbox.py

agent-whisper/3way_cipher

d02e4caae92e3e704f994a2b9d3115d3a83a1969

[ "MIT" ]

null

src/blockcipher/modules/sbox.py

agent-whisper/3way_cipher

d02e4caae92e3e704f994a2b9d3115d3a83a1969

[ "MIT" ]

null

src/blockcipher/modules/sbox.py

agent-whisper/3way_cipher

d02e4caae92e3e704f994a2b9d3115d3a83a1969

[ "MIT" ]

null

from src.utilities import bytes as byte SBOX = [['63', '7c', '77', '7b', 'f2', '6b', '6f', 'c5', '30', '01', '67', '2b', 'fe', 'd7', 'ab', '76'], ['ca', '82', 'c9', '7d', 'fa', '59', '47', 'f0', 'ad', 'd4', 'a2', 'af', '9c', 'a4', '72', 'c0'], ['b7', 'fd', '93', '26', '36', '3f', 'f7', 'cc', '34', 'a5', 'e5', 'f1', '71', 'd8', '31', '15'], ['04', 'c7', '23', 'c3', '18', '96', '05', '9a', '07', '12', '80', 'e2', 'eb', '27', 'b2', '75'], ['09', '83', '2c', '1a', '1b', '6e', '5a', 'a0', '52', '3b', 'd6', 'b3', '29', 'e3', '2f', '84'], ['53', 'd1', '00', 'ed', '20', 'fc', 'b1', '5b', '6a', 'cb', 'be', '39', '4a', '4c', '58', 'cf'], ['d0', 'ef', 'aa', 'fb', '43', '4d', '33', '85', '45', 'f9', '02', '7f', '50', '3c', '9f', 'a8'], ['51', 'a3', '40', '8f', '92', '9d', '38', 'f5', 'bc', 'b6', 'da', '21', '10', 'ff', 'f3', 'd2'], ['cd', '0c', '13', 'ec', '5f', '97', '44', '17', 'c4', 'a7', '7e', '3d', '64', '5d', '19', '73'], ['60', '81', '4f', 'dc', '22', '2a', '90', '88', '46', 'ee', 'b8', '14', 'de', '5e', '0b', 'db'], ['e0', '32', '3a', '0a', '49', '06', '24', '5c', 'c2', 'd3', 'ac', '62', '91', '95', 'e4', '79'], ['e7', 'c8', '37', '6d', '8d', 'd5', '4e', 'a9', '6c', '56', 'f4', 'ea', '65', '7a', 'ae', '08'], ['ba', '78', '25', '2e', '1c', 'a6', 'b4', 'c6', 'e8', 'dd', '74', '1f', '4b', 'bd', '8b', '8a'], ['70', '3e', 'b5', '66', '48', '03', 'f6', '0e', '61', '35', '57', 'b9', '86', 'c1', '1d', '9e'], ['e1', 'f8', '98', '11', '69', 'd9', '8e', '94', '9b', '1e', '87', 'e9', 'ce', '55', '28', 'df'], ['8c', 'a1', '89', '0d', 'bf', 'e6', '42', '68', '41', '99', '2d', '0f', 'b0', '54', 'bb', '16']] def substitute(data): new_data = [] for byte_idx in range (0, len(data)) : row = data[byte_idx] // 16 column = data[byte_idx] % 16 new_data.append(bytes([int(SBOX[row][column], 16)])) # debug # print(hex(data[byte_idx]), SBOX[row][column]) return(byte.merge_bytes(new_data)) # def inv_substitute(data): # pass # [['63', '7c', '77', '7b', 'f2', '6b', '6f', 'c5', '30', '01', '67', '2b', 'fe', 'd7', 'ab', '76'], # ['ca', '82', 'c9', '7d', 'fa', '59', '47', 'f0', 'ad', 'd4', 'a2', 'af', '9c', 'a4', '72', 'c0'], # ['b7', 'fd', '93', '26', '36', '3f', 'f7', 'cc', '34', 'a5', 'e5', 'f1', '71', 'd8', '31', '15'], # ['04', 'c7', '23', 'c3', '18', '96', '05', '9a', '07', '12', '80', 'e2', 'eb', '27', 'b2', '75'], # ['09', '83', '2c', '1a', '1b', '6e', '5a', 'a0', '52', '3b', 'd6', 'b3', '29', 'e3', '2f', '84'], # ['53', 'd1', '00', 'ed', '20', 'fc', 'b1', '5b', '6a', 'cb', 'be', '39', '4a', '4c', '58', 'cf'], # ['d0', 'ef', 'aa', 'fb', '43', '4d', '33', '85', '45', 'f9', '02', '7f', '50', '3c', '9f', 'a8'], # ['51', 'a3', '40', '8f', '92', '9d', '38', 'f5', 'bc', 'b6', 'da', '21', '10', 'ff', 'f3', 'd2'], # ['cd', '0c', '13', 'ec', '5f', '97', '44', '17', 'c4', 'a7', '7e', '3d', '64', '5d', '19', '73'], # ['60', '81', '4f', 'dc', '22', '2a', '90', '88', '46', 'ee', 'b8', '14', 'de', '5e', '0b', 'db'], # ['e0', '32', '3a', '0a', '49', '06', '24', '5c', 'c2', 'd3', 'ac', '62', '91', '95', 'e4', '79'], # ['e7', 'c8', '37', '6d', '8d', 'd5', '4e', 'a9', '6c', '56', 'f4', 'ea', '65', '7a', 'ae', '08'], # ['ba', '78', '25', '2e', '1c', 'a6', 'b4', 'c6', 'e8', 'dd', '74', '1f', '4b', 'bd', '8b', '8a'], # ['70', '3e', 'b5', '66', '48', '03', 'f6', '0e', '61', '35', '57', 'b9', '86', 'c1', '1d', '9e'], # ['e1', 'f8', '98', '11', '69', 'd9', '8e', '94', '9b', '1e', '87', 'e9', 'ce', '55', '28', 'df'], # ['8c', 'a1', '89', '0d', 'bf', 'e6', '42', '68', '41', '99', '2d', '0f', 'b0', '54', 'bb', '16']]

107.939394

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0.170129

3,562

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107.939394

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null

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7c1a5dd3b4a297a19e779429c94483bf2240c3f0

89,980

py

Python

sdk/appservice/azure-mgmt-web/azure/mgmt/web/v2021_01_01/operations/_diagnostics_operations.py

rsdoherty/azure-sdk-for-python

6bba5326677468e6660845a703686327178bb7b1

[ "MIT" ]

2,728

2015-01-09T10:19:32.000Z

2022-03-31T14:50:33.000Z

sdk/appservice/azure-mgmt-web/azure/mgmt/web/v2021_01_01/operations/_diagnostics_operations.py

rsdoherty/azure-sdk-for-python

6bba5326677468e6660845a703686327178bb7b1

[ "MIT" ]

17,773

2015-01-05T15:57:17.000Z

2022-03-31T23:50:25.000Z

sdk/appservice/azure-mgmt-web/azure/mgmt/web/v2021_01_01/operations/_diagnostics_operations.py

rsdoherty/azure-sdk-for-python

6bba5326677468e6660845a703686327178bb7b1

[ "MIT" ]

1,916

2015-01-19T05:05:41.000Z

2022-03-31T19:36:44.000Z

# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is regenerated. # -------------------------------------------------------------------------- import datetime from typing import TYPE_CHECKING import warnings from azure.core.exceptions import ClientAuthenticationError, HttpResponseError, ResourceExistsError, ResourceNotFoundError, map_error from azure.core.paging import ItemPaged from azure.core.pipeline import PipelineResponse from azure.core.pipeline.transport import HttpRequest, HttpResponse from azure.mgmt.core.exceptions import ARMErrorFormat from .. import models as _models if TYPE_CHECKING: # pylint: disable=unused-import,ungrouped-imports from typing import Any, Callable, Dict, Generic, Iterable, Optional, TypeVar T = TypeVar('T') ClsType = Optional[Callable[[PipelineResponse[HttpRequest, HttpResponse], T, Dict[str, Any]], Any]] class DiagnosticsOperations(object): """DiagnosticsOperations operations. You should not instantiate this class directly. Instead, you should create a Client instance that instantiates it for you and attaches it as an attribute. :ivar models: Alias to model classes used in this operation group. :type models: ~azure.mgmt.web.v2021_01_01.models :param client: Client for service requests. :param config: Configuration of service client. :param serializer: An object model serializer. :param deserializer: An object model deserializer. """ models = _models def __init__(self, client, config, serializer, deserializer): self._client = client self._serialize = serializer self._deserialize = deserializer self._config = config def list_hosting_environment_detector_responses( self, resource_group_name, # type: str name, # type: str **kwargs # type: Any ): # type: (...) -> Iterable["_models.DetectorResponseCollection"] """List Hosting Environment Detector Responses. Description for List Hosting Environment Detector Responses. :param resource_group_name: Name of the resource group to which the resource belongs. :type resource_group_name: str :param name: Site Name. :type name: str :keyword callable cls: A custom type or function that will be passed the direct response :return: An iterator like instance of either DetectorResponseCollection or the result of cls(response) :rtype: ~azure.core.paging.ItemPaged[~azure.mgmt.web.v2021_01_01.models.DetectorResponseCollection] :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType["_models.DetectorResponseCollection"] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) api_version = "2021-01-01" accept = "application/json" def prepare_request(next_link=None): # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') if not next_link: # Construct URL url = self.list_hosting_environment_detector_responses.metadata['url'] # type: ignore path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._]+[^\.]$'), 'name': self._serialize.url("name", name, 'str'), 'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str') request = self._client.get(url, query_parameters, header_parameters) else: url = next_link query_parameters = {} # type: Dict[str, Any] request = self._client.get(url, query_parameters, header_parameters) return request def extract_data(pipeline_response): deserialized = self._deserialize('DetectorResponseCollection', pipeline_response) list_of_elem = deserialized.value if cls: list_of_elem = cls(list_of_elem) return deserialized.next_link or None, iter(list_of_elem) def get_next(next_link=None): request = prepare_request(next_link) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [200]: error = self._deserialize.failsafe_deserialize(_models.DefaultErrorResponse, response) map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat) return pipeline_response return ItemPaged( get_next, extract_data ) list_hosting_environment_detector_responses.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{name}/detectors'} # type: ignore def get_hosting_environment_detector_response( self, resource_group_name, # type: str name, # type: str detector_name, # type: str start_time=None, # type: Optional[datetime.datetime] end_time=None, # type: Optional[datetime.datetime] time_grain=None, # type: Optional[str] **kwargs # type: Any ): # type: (...) -> "_models.DetectorResponse" """Get Hosting Environment Detector Response. Description for Get Hosting Environment Detector Response. :param resource_group_name: Name of the resource group to which the resource belongs. :type resource_group_name: str :param name: App Service Environment Name. :type name: str :param detector_name: Detector Resource Name. :type detector_name: str :param start_time: Start Time. :type start_time: ~datetime.datetime :param end_time: End Time. :type end_time: ~datetime.datetime :param time_grain: Time Grain. :type time_grain: str :keyword callable cls: A custom type or function that will be passed the direct response :return: DetectorResponse, or the result of cls(response) :rtype: ~azure.mgmt.web.v2021_01_01.models.DetectorResponse :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType["_models.DetectorResponse"] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) api_version = "2021-01-01" accept = "application/json" # Construct URL url = self.get_hosting_environment_detector_response.metadata['url'] # type: ignore path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._]+[^\.]$'), 'name': self._serialize.url("name", name, 'str'), 'detectorName': self._serialize.url("detector_name", detector_name, 'str'), 'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] if start_time is not None: query_parameters['startTime'] = self._serialize.query("start_time", start_time, 'iso-8601') if end_time is not None: query_parameters['endTime'] = self._serialize.query("end_time", end_time, 'iso-8601') if time_grain is not None: query_parameters['timeGrain'] = self._serialize.query("time_grain", time_grain, 'str', pattern=r'PT[1-9][0-9]+[SMH]') query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str') # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') request = self._client.get(url, query_parameters, header_parameters) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [200]: map_error(status_code=response.status_code, response=response, error_map=error_map) error = self._deserialize.failsafe_deserialize(_models.DefaultErrorResponse, response) raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat) deserialized = self._deserialize('DetectorResponse', pipeline_response) if cls: return cls(pipeline_response, deserialized, {}) return deserialized get_hosting_environment_detector_response.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{name}/detectors/{detectorName}'} # type: ignore def list_site_detector_responses( self, resource_group_name, # type: str site_name, # type: str **kwargs # type: Any ): # type: (...) -> Iterable["_models.DetectorResponseCollection"] """List Site Detector Responses. Description for List Site Detector Responses. :param resource_group_name: Name of the resource group to which the resource belongs. :type resource_group_name: str :param site_name: Site Name. :type site_name: str :keyword callable cls: A custom type or function that will be passed the direct response :return: An iterator like instance of either DetectorResponseCollection or the result of cls(response) :rtype: ~azure.core.paging.ItemPaged[~azure.mgmt.web.v2021_01_01.models.DetectorResponseCollection] :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType["_models.DetectorResponseCollection"] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) api_version = "2021-01-01" accept = "application/json" def prepare_request(next_link=None): # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') if not next_link: # Construct URL url = self.list_site_detector_responses.metadata['url'] # type: ignore path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._]+[^\.]$'), 'siteName': self._serialize.url("site_name", site_name, 'str'), 'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str') request = self._client.get(url, query_parameters, header_parameters) else: url = next_link query_parameters = {} # type: Dict[str, Any] request = self._client.get(url, query_parameters, header_parameters) return request def extract_data(pipeline_response): deserialized = self._deserialize('DetectorResponseCollection', pipeline_response) list_of_elem = deserialized.value if cls: list_of_elem = cls(list_of_elem) return deserialized.next_link or None, iter(list_of_elem) def get_next(next_link=None): request = prepare_request(next_link) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [200]: error = self._deserialize.failsafe_deserialize(_models.DefaultErrorResponse, response) map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat) return pipeline_response return ItemPaged( get_next, extract_data ) list_site_detector_responses.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/sites/{siteName}/detectors'} # type: ignore def get_site_detector_response( self, resource_group_name, # type: str site_name, # type: str detector_name, # type: str start_time=None, # type: Optional[datetime.datetime] end_time=None, # type: Optional[datetime.datetime] time_grain=None, # type: Optional[str] **kwargs # type: Any ): # type: (...) -> "_models.DetectorResponse" """Get site detector response. Description for Get site detector response. :param resource_group_name: Name of the resource group to which the resource belongs. :type resource_group_name: str :param site_name: Site Name. :type site_name: str :param detector_name: Detector Resource Name. :type detector_name: str :param start_time: Start Time. :type start_time: ~datetime.datetime :param end_time: End Time. :type end_time: ~datetime.datetime :param time_grain: Time Grain. :type time_grain: str :keyword callable cls: A custom type or function that will be passed the direct response :return: DetectorResponse, or the result of cls(response) :rtype: ~azure.mgmt.web.v2021_01_01.models.DetectorResponse :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType["_models.DetectorResponse"] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) api_version = "2021-01-01" accept = "application/json" # Construct URL url = self.get_site_detector_response.metadata['url'] # type: ignore path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._]+[^\.]$'), 'siteName': self._serialize.url("site_name", site_name, 'str'), 'detectorName': self._serialize.url("detector_name", detector_name, 'str'), 'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] if start_time is not None: query_parameters['startTime'] = self._serialize.query("start_time", start_time, 'iso-8601') if end_time is not None: query_parameters['endTime'] = self._serialize.query("end_time", end_time, 'iso-8601') if time_grain is not None: query_parameters['timeGrain'] = self._serialize.query("time_grain", time_grain, 'str', pattern=r'PT[1-9][0-9]+[SMH]') query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str') # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') request = self._client.get(url, query_parameters, header_parameters) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [200]: map_error(status_code=response.status_code, response=response, error_map=error_map) error = self._deserialize.failsafe_deserialize(_models.DefaultErrorResponse, response) raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat) deserialized = self._deserialize('DetectorResponse', pipeline_response) if cls: return cls(pipeline_response, deserialized, {}) return deserialized get_site_detector_response.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/sites/{siteName}/detectors/{detectorName}'} # type: ignore def list_site_diagnostic_categories( self, resource_group_name, # type: str site_name, # type: str **kwargs # type: Any ): # type: (...) -> Iterable["_models.DiagnosticCategoryCollection"] """Get Diagnostics Categories. Description for Get Diagnostics Categories. :param resource_group_name: Name of the resource group to which the resource belongs. :type resource_group_name: str :param site_name: Site Name. :type site_name: str :keyword callable cls: A custom type or function that will be passed the direct response :return: An iterator like instance of either DiagnosticCategoryCollection or the result of cls(response) :rtype: ~azure.core.paging.ItemPaged[~azure.mgmt.web.v2021_01_01.models.DiagnosticCategoryCollection] :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType["_models.DiagnosticCategoryCollection"] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) api_version = "2021-01-01" accept = "application/json" def prepare_request(next_link=None): # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') if not next_link: # Construct URL url = self.list_site_diagnostic_categories.metadata['url'] # type: ignore path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._]+[^\.]$'), 'siteName': self._serialize.url("site_name", site_name, 'str'), 'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str') request = self._client.get(url, query_parameters, header_parameters) else: url = next_link query_parameters = {} # type: Dict[str, Any] request = self._client.get(url, query_parameters, header_parameters) return request def extract_data(pipeline_response): deserialized = self._deserialize('DiagnosticCategoryCollection', pipeline_response) list_of_elem = deserialized.value if cls: list_of_elem = cls(list_of_elem) return deserialized.next_link or None, iter(list_of_elem) def get_next(next_link=None): request = prepare_request(next_link) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [200]: error = self._deserialize.failsafe_deserialize(_models.DefaultErrorResponse, response) map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat) return pipeline_response return ItemPaged( get_next, extract_data ) list_site_diagnostic_categories.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/sites/{siteName}/diagnostics'} # type: ignore def get_site_diagnostic_category( self, resource_group_name, # type: str site_name, # type: str diagnostic_category, # type: str **kwargs # type: Any ): # type: (...) -> "_models.DiagnosticCategory" """Get Diagnostics Category. Description for Get Diagnostics Category. :param resource_group_name: Name of the resource group to which the resource belongs. :type resource_group_name: str :param site_name: Site Name. :type site_name: str :param diagnostic_category: Diagnostic Category. :type diagnostic_category: str :keyword callable cls: A custom type or function that will be passed the direct response :return: DiagnosticCategory, or the result of cls(response) :rtype: ~azure.mgmt.web.v2021_01_01.models.DiagnosticCategory :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType["_models.DiagnosticCategory"] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) api_version = "2021-01-01" accept = "application/json" # Construct URL url = self.get_site_diagnostic_category.metadata['url'] # type: ignore path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._]+[^\.]$'), 'siteName': self._serialize.url("site_name", site_name, 'str'), 'diagnosticCategory': self._serialize.url("diagnostic_category", diagnostic_category, 'str'), 'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str') # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') request = self._client.get(url, query_parameters, header_parameters) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [200]: map_error(status_code=response.status_code, response=response, error_map=error_map) error = self._deserialize.failsafe_deserialize(_models.DefaultErrorResponse, response) raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat) deserialized = self._deserialize('DiagnosticCategory', pipeline_response) if cls: return cls(pipeline_response, deserialized, {}) return deserialized get_site_diagnostic_category.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/sites/{siteName}/diagnostics/{diagnosticCategory}'} # type: ignore def list_site_analyses( self, resource_group_name, # type: str site_name, # type: str diagnostic_category, # type: str **kwargs # type: Any ): # type: (...) -> Iterable["_models.DiagnosticAnalysisCollection"] """Get Site Analyses. Description for Get Site Analyses. :param resource_group_name: Name of the resource group to which the resource belongs. :type resource_group_name: str :param site_name: Site Name. :type site_name: str :param diagnostic_category: Diagnostic Category. :type diagnostic_category: str :keyword callable cls: A custom type or function that will be passed the direct response :return: An iterator like instance of either DiagnosticAnalysisCollection or the result of cls(response) :rtype: ~azure.core.paging.ItemPaged[~azure.mgmt.web.v2021_01_01.models.DiagnosticAnalysisCollection] :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType["_models.DiagnosticAnalysisCollection"] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) api_version = "2021-01-01" accept = "application/json" def prepare_request(next_link=None): # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') if not next_link: # Construct URL url = self.list_site_analyses.metadata['url'] # type: ignore path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._]+[^\.]$'), 'siteName': self._serialize.url("site_name", site_name, 'str'), 'diagnosticCategory': self._serialize.url("diagnostic_category", diagnostic_category, 'str'), 'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str') request = self._client.get(url, query_parameters, header_parameters) else: url = next_link query_parameters = {} # type: Dict[str, Any] request = self._client.get(url, query_parameters, header_parameters) return request def extract_data(pipeline_response): deserialized = self._deserialize('DiagnosticAnalysisCollection', pipeline_response) list_of_elem = deserialized.value if cls: list_of_elem = cls(list_of_elem) return deserialized.next_link or None, iter(list_of_elem) def get_next(next_link=None): request = prepare_request(next_link) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [200]: error = self._deserialize.failsafe_deserialize(_models.DefaultErrorResponse, response) map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat) return pipeline_response return ItemPaged( get_next, extract_data ) list_site_analyses.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/sites/{siteName}/diagnostics/{diagnosticCategory}/analyses'} # type: ignore def get_site_analysis( self, resource_group_name, # type: str site_name, # type: str diagnostic_category, # type: str analysis_name, # type: str **kwargs # type: Any ): # type: (...) -> "_models.AnalysisDefinition" """Get Site Analysis. Description for Get Site Analysis. :param resource_group_name: Name of the resource group to which the resource belongs. :type resource_group_name: str :param site_name: Site Name. :type site_name: str :param diagnostic_category: Diagnostic Category. :type diagnostic_category: str :param analysis_name: Analysis Name. :type analysis_name: str :keyword callable cls: A custom type or function that will be passed the direct response :return: AnalysisDefinition, or the result of cls(response) :rtype: ~azure.mgmt.web.v2021_01_01.models.AnalysisDefinition :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType["_models.AnalysisDefinition"] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) api_version = "2021-01-01" accept = "application/json" # Construct URL url = self.get_site_analysis.metadata['url'] # type: ignore path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._]+[^\.]$'), 'siteName': self._serialize.url("site_name", site_name, 'str'), 'diagnosticCategory': self._serialize.url("diagnostic_category", diagnostic_category, 'str'), 'analysisName': self._serialize.url("analysis_name", analysis_name, 'str'), 'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str') # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') request = self._client.get(url, query_parameters, header_parameters) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [200]: map_error(status_code=response.status_code, response=response, error_map=error_map) error = self._deserialize.failsafe_deserialize(_models.DefaultErrorResponse, response) raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat) deserialized = self._deserialize('AnalysisDefinition', pipeline_response) if cls: return cls(pipeline_response, deserialized, {}) return deserialized get_site_analysis.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/sites/{siteName}/diagnostics/{diagnosticCategory}/analyses/{analysisName}'} # type: ignore def execute_site_analysis( self, resource_group_name, # type: str site_name, # type: str diagnostic_category, # type: str analysis_name, # type: str start_time=None, # type: Optional[datetime.datetime] end_time=None, # type: Optional[datetime.datetime] time_grain=None, # type: Optional[str] **kwargs # type: Any ): # type: (...) -> "_models.DiagnosticAnalysis" """Execute Analysis. Description for Execute Analysis. :param resource_group_name: Name of the resource group to which the resource belongs. :type resource_group_name: str :param site_name: Site Name. :type site_name: str :param diagnostic_category: Category Name. :type diagnostic_category: str :param analysis_name: Analysis Resource Name. :type analysis_name: str :param start_time: Start Time. :type start_time: ~datetime.datetime :param end_time: End Time. :type end_time: ~datetime.datetime :param time_grain: Time Grain. :type time_grain: str :keyword callable cls: A custom type or function that will be passed the direct response :return: DiagnosticAnalysis, or the result of cls(response) :rtype: ~azure.mgmt.web.v2021_01_01.models.DiagnosticAnalysis :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType["_models.DiagnosticAnalysis"] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) api_version = "2021-01-01" accept = "application/json" # Construct URL url = self.execute_site_analysis.metadata['url'] # type: ignore path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._]+[^\.]$'), 'siteName': self._serialize.url("site_name", site_name, 'str'), 'diagnosticCategory': self._serialize.url("diagnostic_category", diagnostic_category, 'str'), 'analysisName': self._serialize.url("analysis_name", analysis_name, 'str'), 'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] if start_time is not None: query_parameters['startTime'] = self._serialize.query("start_time", start_time, 'iso-8601') if end_time is not None: query_parameters['endTime'] = self._serialize.query("end_time", end_time, 'iso-8601') if time_grain is not None: query_parameters['timeGrain'] = self._serialize.query("time_grain", time_grain, 'str', pattern=r'PT[1-9][0-9]+[SMH]') query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str') # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') request = self._client.post(url, query_parameters, header_parameters) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [200]: map_error(status_code=response.status_code, response=response, error_map=error_map) error = self._deserialize.failsafe_deserialize(_models.DefaultErrorResponse, response) raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat) deserialized = self._deserialize('DiagnosticAnalysis', pipeline_response) if cls: return cls(pipeline_response, deserialized, {}) return deserialized execute_site_analysis.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/sites/{siteName}/diagnostics/{diagnosticCategory}/analyses/{analysisName}/execute'} # type: ignore def list_site_detectors( self, resource_group_name, # type: str site_name, # type: str diagnostic_category, # type: str **kwargs # type: Any ): # type: (...) -> Iterable["_models.DiagnosticDetectorCollection"] """Get Detectors. Description for Get Detectors. :param resource_group_name: Name of the resource group to which the resource belongs. :type resource_group_name: str :param site_name: Site Name. :type site_name: str :param diagnostic_category: Diagnostic Category. :type diagnostic_category: str :keyword callable cls: A custom type or function that will be passed the direct response :return: An iterator like instance of either DiagnosticDetectorCollection or the result of cls(response) :rtype: ~azure.core.paging.ItemPaged[~azure.mgmt.web.v2021_01_01.models.DiagnosticDetectorCollection] :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType["_models.DiagnosticDetectorCollection"] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) api_version = "2021-01-01" accept = "application/json" def prepare_request(next_link=None): # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') if not next_link: # Construct URL url = self.list_site_detectors.metadata['url'] # type: ignore path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._]+[^\.]$'), 'siteName': self._serialize.url("site_name", site_name, 'str'), 'diagnosticCategory': self._serialize.url("diagnostic_category", diagnostic_category, 'str'), 'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str') request = self._client.get(url, query_parameters, header_parameters) else: url = next_link query_parameters = {} # type: Dict[str, Any] request = self._client.get(url, query_parameters, header_parameters) return request def extract_data(pipeline_response): deserialized = self._deserialize('DiagnosticDetectorCollection', pipeline_response) list_of_elem = deserialized.value if cls: list_of_elem = cls(list_of_elem) return deserialized.next_link or None, iter(list_of_elem) def get_next(next_link=None): request = prepare_request(next_link) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [200]: error = self._deserialize.failsafe_deserialize(_models.DefaultErrorResponse, response) map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat) return pipeline_response return ItemPaged( get_next, extract_data ) list_site_detectors.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/sites/{siteName}/diagnostics/{diagnosticCategory}/detectors'} # type: ignore def get_site_detector( self, resource_group_name, # type: str site_name, # type: str diagnostic_category, # type: str detector_name, # type: str **kwargs # type: Any ): # type: (...) -> "_models.DetectorDefinition" """Get Detector. Description for Get Detector. :param resource_group_name: Name of the resource group to which the resource belongs. :type resource_group_name: str :param site_name: Site Name. :type site_name: str :param diagnostic_category: Diagnostic Category. :type diagnostic_category: str :param detector_name: Detector Name. :type detector_name: str :keyword callable cls: A custom type or function that will be passed the direct response :return: DetectorDefinition, or the result of cls(response) :rtype: ~azure.mgmt.web.v2021_01_01.models.DetectorDefinition :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType["_models.DetectorDefinition"] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) api_version = "2021-01-01" accept = "application/json" # Construct URL url = self.get_site_detector.metadata['url'] # type: ignore path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._]+[^\.]$'), 'siteName': self._serialize.url("site_name", site_name, 'str'), 'diagnosticCategory': self._serialize.url("diagnostic_category", diagnostic_category, 'str'), 'detectorName': self._serialize.url("detector_name", detector_name, 'str'), 'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str') # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') request = self._client.get(url, query_parameters, header_parameters) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [200]: map_error(status_code=response.status_code, response=response, error_map=error_map) error = self._deserialize.failsafe_deserialize(_models.DefaultErrorResponse, response) raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat) deserialized = self._deserialize('DetectorDefinition', pipeline_response) if cls: return cls(pipeline_response, deserialized, {}) return deserialized get_site_detector.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/sites/{siteName}/diagnostics/{diagnosticCategory}/detectors/{detectorName}'} # type: ignore def execute_site_detector( self, resource_group_name, # type: str site_name, # type: str detector_name, # type: str diagnostic_category, # type: str start_time=None, # type: Optional[datetime.datetime] end_time=None, # type: Optional[datetime.datetime] time_grain=None, # type: Optional[str] **kwargs # type: Any ): # type: (...) -> "_models.DiagnosticDetectorResponse" """Execute Detector. Description for Execute Detector. :param resource_group_name: Name of the resource group to which the resource belongs. :type resource_group_name: str :param site_name: Site Name. :type site_name: str :param detector_name: Detector Resource Name. :type detector_name: str :param diagnostic_category: Category Name. :type diagnostic_category: str :param start_time: Start Time. :type start_time: ~datetime.datetime :param end_time: End Time. :type end_time: ~datetime.datetime :param time_grain: Time Grain. :type time_grain: str :keyword callable cls: A custom type or function that will be passed the direct response :return: DiagnosticDetectorResponse, or the result of cls(response) :rtype: ~azure.mgmt.web.v2021_01_01.models.DiagnosticDetectorResponse :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType["_models.DiagnosticDetectorResponse"] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) api_version = "2021-01-01" accept = "application/json" # Construct URL url = self.execute_site_detector.metadata['url'] # type: ignore path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._]+[^\.]$'), 'siteName': self._serialize.url("site_name", site_name, 'str'), 'detectorName': self._serialize.url("detector_name", detector_name, 'str'), 'diagnosticCategory': self._serialize.url("diagnostic_category", diagnostic_category, 'str'), 'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] if start_time is not None: query_parameters['startTime'] = self._serialize.query("start_time", start_time, 'iso-8601') if end_time is not None: query_parameters['endTime'] = self._serialize.query("end_time", end_time, 'iso-8601') if time_grain is not None: query_parameters['timeGrain'] = self._serialize.query("time_grain", time_grain, 'str', pattern=r'PT[1-9][0-9]+[SMH]') query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str') # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') request = self._client.post(url, query_parameters, header_parameters) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [200]: map_error(status_code=response.status_code, response=response, error_map=error_map) error = self._deserialize.failsafe_deserialize(_models.DefaultErrorResponse, response) raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat) deserialized = self._deserialize('DiagnosticDetectorResponse', pipeline_response) if cls: return cls(pipeline_response, deserialized, {}) return deserialized execute_site_detector.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/sites/{siteName}/diagnostics/{diagnosticCategory}/detectors/{detectorName}/execute'} # type: ignore def list_site_detector_responses_slot( self, resource_group_name, # type: str site_name, # type: str slot, # type: str **kwargs # type: Any ): # type: (...) -> Iterable["_models.DetectorResponseCollection"] """List Site Detector Responses. Description for List Site Detector Responses. :param resource_group_name: Name of the resource group to which the resource belongs. :type resource_group_name: str :param site_name: Site Name. :type site_name: str :param slot: Slot Name. :type slot: str :keyword callable cls: A custom type or function that will be passed the direct response :return: An iterator like instance of either DetectorResponseCollection or the result of cls(response) :rtype: ~azure.core.paging.ItemPaged[~azure.mgmt.web.v2021_01_01.models.DetectorResponseCollection] :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType["_models.DetectorResponseCollection"] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) api_version = "2021-01-01" accept = "application/json" def prepare_request(next_link=None): # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') if not next_link: # Construct URL url = self.list_site_detector_responses_slot.metadata['url'] # type: ignore path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._]+[^\.]$'), 'siteName': self._serialize.url("site_name", site_name, 'str'), 'slot': self._serialize.url("slot", slot, 'str'), 'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str') request = self._client.get(url, query_parameters, header_parameters) else: url = next_link query_parameters = {} # type: Dict[str, Any] request = self._client.get(url, query_parameters, header_parameters) return request def extract_data(pipeline_response): deserialized = self._deserialize('DetectorResponseCollection', pipeline_response) list_of_elem = deserialized.value if cls: list_of_elem = cls(list_of_elem) return deserialized.next_link or None, iter(list_of_elem) def get_next(next_link=None): request = prepare_request(next_link) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [200]: error = self._deserialize.failsafe_deserialize(_models.DefaultErrorResponse, response) map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat) return pipeline_response return ItemPaged( get_next, extract_data ) list_site_detector_responses_slot.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/sites/{siteName}/slots/{slot}/detectors'} # type: ignore def get_site_detector_response_slot( self, resource_group_name, # type: str site_name, # type: str detector_name, # type: str slot, # type: str start_time=None, # type: Optional[datetime.datetime] end_time=None, # type: Optional[datetime.datetime] time_grain=None, # type: Optional[str] **kwargs # type: Any ): # type: (...) -> "_models.DetectorResponse" """Get site detector response. Description for Get site detector response. :param resource_group_name: Name of the resource group to which the resource belongs. :type resource_group_name: str :param site_name: Site Name. :type site_name: str :param detector_name: Detector Resource Name. :type detector_name: str :param slot: Slot Name. :type slot: str :param start_time: Start Time. :type start_time: ~datetime.datetime :param end_time: End Time. :type end_time: ~datetime.datetime :param time_grain: Time Grain. :type time_grain: str :keyword callable cls: A custom type or function that will be passed the direct response :return: DetectorResponse, or the result of cls(response) :rtype: ~azure.mgmt.web.v2021_01_01.models.DetectorResponse :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType["_models.DetectorResponse"] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) api_version = "2021-01-01" accept = "application/json" # Construct URL url = self.get_site_detector_response_slot.metadata['url'] # type: ignore path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._]+[^\.]$'), 'siteName': self._serialize.url("site_name", site_name, 'str'), 'detectorName': self._serialize.url("detector_name", detector_name, 'str'), 'slot': self._serialize.url("slot", slot, 'str'), 'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] if start_time is not None: query_parameters['startTime'] = self._serialize.query("start_time", start_time, 'iso-8601') if end_time is not None: query_parameters['endTime'] = self._serialize.query("end_time", end_time, 'iso-8601') if time_grain is not None: query_parameters['timeGrain'] = self._serialize.query("time_grain", time_grain, 'str', pattern=r'PT[1-9][0-9]+[SMH]') query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str') # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') request = self._client.get(url, query_parameters, header_parameters) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [200]: map_error(status_code=response.status_code, response=response, error_map=error_map) error = self._deserialize.failsafe_deserialize(_models.DefaultErrorResponse, response) raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat) deserialized = self._deserialize('DetectorResponse', pipeline_response) if cls: return cls(pipeline_response, deserialized, {}) return deserialized get_site_detector_response_slot.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/sites/{siteName}/slots/{slot}/detectors/{detectorName}'} # type: ignore def list_site_diagnostic_categories_slot( self, resource_group_name, # type: str site_name, # type: str slot, # type: str **kwargs # type: Any ): # type: (...) -> Iterable["_models.DiagnosticCategoryCollection"] """Get Diagnostics Categories. Description for Get Diagnostics Categories. :param resource_group_name: Name of the resource group to which the resource belongs. :type resource_group_name: str :param site_name: Site Name. :type site_name: str :param slot: Slot Name. :type slot: str :keyword callable cls: A custom type or function that will be passed the direct response :return: An iterator like instance of either DiagnosticCategoryCollection or the result of cls(response) :rtype: ~azure.core.paging.ItemPaged[~azure.mgmt.web.v2021_01_01.models.DiagnosticCategoryCollection] :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType["_models.DiagnosticCategoryCollection"] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) api_version = "2021-01-01" accept = "application/json" def prepare_request(next_link=None): # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') if not next_link: # Construct URL url = self.list_site_diagnostic_categories_slot.metadata['url'] # type: ignore path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._]+[^\.]$'), 'siteName': self._serialize.url("site_name", site_name, 'str'), 'slot': self._serialize.url("slot", slot, 'str'), 'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str') request = self._client.get(url, query_parameters, header_parameters) else: url = next_link query_parameters = {} # type: Dict[str, Any] request = self._client.get(url, query_parameters, header_parameters) return request def extract_data(pipeline_response): deserialized = self._deserialize('DiagnosticCategoryCollection', pipeline_response) list_of_elem = deserialized.value if cls: list_of_elem = cls(list_of_elem) return deserialized.next_link or None, iter(list_of_elem) def get_next(next_link=None): request = prepare_request(next_link) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [200]: error = self._deserialize.failsafe_deserialize(_models.DefaultErrorResponse, response) map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat) return pipeline_response return ItemPaged( get_next, extract_data ) list_site_diagnostic_categories_slot.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/sites/{siteName}/slots/{slot}/diagnostics'} # type: ignore def get_site_diagnostic_category_slot( self, resource_group_name, # type: str site_name, # type: str diagnostic_category, # type: str slot, # type: str **kwargs # type: Any ): # type: (...) -> "_models.DiagnosticCategory" """Get Diagnostics Category. Description for Get Diagnostics Category. :param resource_group_name: Name of the resource group to which the resource belongs. :type resource_group_name: str :param site_name: Site Name. :type site_name: str :param diagnostic_category: Diagnostic Category. :type diagnostic_category: str :param slot: Slot Name. :type slot: str :keyword callable cls: A custom type or function that will be passed the direct response :return: DiagnosticCategory, or the result of cls(response) :rtype: ~azure.mgmt.web.v2021_01_01.models.DiagnosticCategory :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType["_models.DiagnosticCategory"] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) api_version = "2021-01-01" accept = "application/json" # Construct URL url = self.get_site_diagnostic_category_slot.metadata['url'] # type: ignore path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._]+[^\.]$'), 'siteName': self._serialize.url("site_name", site_name, 'str'), 'diagnosticCategory': self._serialize.url("diagnostic_category", diagnostic_category, 'str'), 'slot': self._serialize.url("slot", slot, 'str'), 'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str') # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') request = self._client.get(url, query_parameters, header_parameters) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [200]: map_error(status_code=response.status_code, response=response, error_map=error_map) error = self._deserialize.failsafe_deserialize(_models.DefaultErrorResponse, response) raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat) deserialized = self._deserialize('DiagnosticCategory', pipeline_response) if cls: return cls(pipeline_response, deserialized, {}) return deserialized get_site_diagnostic_category_slot.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/sites/{siteName}/slots/{slot}/diagnostics/{diagnosticCategory}'} # type: ignore def list_site_analyses_slot( self, resource_group_name, # type: str site_name, # type: str diagnostic_category, # type: str slot, # type: str **kwargs # type: Any ): # type: (...) -> Iterable["_models.DiagnosticAnalysisCollection"] """Get Site Analyses. Description for Get Site Analyses. :param resource_group_name: Name of the resource group to which the resource belongs. :type resource_group_name: str :param site_name: Site Name. :type site_name: str :param diagnostic_category: Diagnostic Category. :type diagnostic_category: str :param slot: Slot Name. :type slot: str :keyword callable cls: A custom type or function that will be passed the direct response :return: An iterator like instance of either DiagnosticAnalysisCollection or the result of cls(response) :rtype: ~azure.core.paging.ItemPaged[~azure.mgmt.web.v2021_01_01.models.DiagnosticAnalysisCollection] :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType["_models.DiagnosticAnalysisCollection"] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) api_version = "2021-01-01" accept = "application/json" def prepare_request(next_link=None): # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') if not next_link: # Construct URL url = self.list_site_analyses_slot.metadata['url'] # type: ignore path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._]+[^\.]$'), 'siteName': self._serialize.url("site_name", site_name, 'str'), 'diagnosticCategory': self._serialize.url("diagnostic_category", diagnostic_category, 'str'), 'slot': self._serialize.url("slot", slot, 'str'), 'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str') request = self._client.get(url, query_parameters, header_parameters) else: url = next_link query_parameters = {} # type: Dict[str, Any] request = self._client.get(url, query_parameters, header_parameters) return request def extract_data(pipeline_response): deserialized = self._deserialize('DiagnosticAnalysisCollection', pipeline_response) list_of_elem = deserialized.value if cls: list_of_elem = cls(list_of_elem) return deserialized.next_link or None, iter(list_of_elem) def get_next(next_link=None): request = prepare_request(next_link) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [200]: error = self._deserialize.failsafe_deserialize(_models.DefaultErrorResponse, response) map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat) return pipeline_response return ItemPaged( get_next, extract_data ) list_site_analyses_slot.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/sites/{siteName}/slots/{slot}/diagnostics/{diagnosticCategory}/analyses'} # type: ignore def get_site_analysis_slot( self, resource_group_name, # type: str site_name, # type: str diagnostic_category, # type: str analysis_name, # type: str slot, # type: str **kwargs # type: Any ): # type: (...) -> "_models.AnalysisDefinition" """Get Site Analysis. Description for Get Site Analysis. :param resource_group_name: Name of the resource group to which the resource belongs. :type resource_group_name: str :param site_name: Site Name. :type site_name: str :param diagnostic_category: Diagnostic Category. :type diagnostic_category: str :param analysis_name: Analysis Name. :type analysis_name: str :param slot: Slot - optional. :type slot: str :keyword callable cls: A custom type or function that will be passed the direct response :return: AnalysisDefinition, or the result of cls(response) :rtype: ~azure.mgmt.web.v2021_01_01.models.AnalysisDefinition :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType["_models.AnalysisDefinition"] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) api_version = "2021-01-01" accept = "application/json" # Construct URL url = self.get_site_analysis_slot.metadata['url'] # type: ignore path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._]+[^\.]$'), 'siteName': self._serialize.url("site_name", site_name, 'str'), 'diagnosticCategory': self._serialize.url("diagnostic_category", diagnostic_category, 'str'), 'analysisName': self._serialize.url("analysis_name", analysis_name, 'str'), 'slot': self._serialize.url("slot", slot, 'str'), 'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str') # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') request = self._client.get(url, query_parameters, header_parameters) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [200]: map_error(status_code=response.status_code, response=response, error_map=error_map) error = self._deserialize.failsafe_deserialize(_models.DefaultErrorResponse, response) raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat) deserialized = self._deserialize('AnalysisDefinition', pipeline_response) if cls: return cls(pipeline_response, deserialized, {}) return deserialized get_site_analysis_slot.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/sites/{siteName}/slots/{slot}/diagnostics/{diagnosticCategory}/analyses/{analysisName}'} # type: ignore def execute_site_analysis_slot( self, resource_group_name, # type: str site_name, # type: str diagnostic_category, # type: str analysis_name, # type: str slot, # type: str start_time=None, # type: Optional[datetime.datetime] end_time=None, # type: Optional[datetime.datetime] time_grain=None, # type: Optional[str] **kwargs # type: Any ): # type: (...) -> "_models.DiagnosticAnalysis" """Execute Analysis. Description for Execute Analysis. :param resource_group_name: Name of the resource group to which the resource belongs. :type resource_group_name: str :param site_name: Site Name. :type site_name: str :param diagnostic_category: Category Name. :type diagnostic_category: str :param analysis_name: Analysis Resource Name. :type analysis_name: str :param slot: Slot Name. :type slot: str :param start_time: Start Time. :type start_time: ~datetime.datetime :param end_time: End Time. :type end_time: ~datetime.datetime :param time_grain: Time Grain. :type time_grain: str :keyword callable cls: A custom type or function that will be passed the direct response :return: DiagnosticAnalysis, or the result of cls(response) :rtype: ~azure.mgmt.web.v2021_01_01.models.DiagnosticAnalysis :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType["_models.DiagnosticAnalysis"] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) api_version = "2021-01-01" accept = "application/json" # Construct URL url = self.execute_site_analysis_slot.metadata['url'] # type: ignore path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._]+[^\.]$'), 'siteName': self._serialize.url("site_name", site_name, 'str'), 'diagnosticCategory': self._serialize.url("diagnostic_category", diagnostic_category, 'str'), 'analysisName': self._serialize.url("analysis_name", analysis_name, 'str'), 'slot': self._serialize.url("slot", slot, 'str'), 'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] if start_time is not None: query_parameters['startTime'] = self._serialize.query("start_time", start_time, 'iso-8601') if end_time is not None: query_parameters['endTime'] = self._serialize.query("end_time", end_time, 'iso-8601') if time_grain is not None: query_parameters['timeGrain'] = self._serialize.query("time_grain", time_grain, 'str', pattern=r'PT[1-9][0-9]+[SMH]') query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str') # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') request = self._client.post(url, query_parameters, header_parameters) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [200]: map_error(status_code=response.status_code, response=response, error_map=error_map) error = self._deserialize.failsafe_deserialize(_models.DefaultErrorResponse, response) raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat) deserialized = self._deserialize('DiagnosticAnalysis', pipeline_response) if cls: return cls(pipeline_response, deserialized, {}) return deserialized execute_site_analysis_slot.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/sites/{siteName}/slots/{slot}/diagnostics/{diagnosticCategory}/analyses/{analysisName}/execute'} # type: ignore def list_site_detectors_slot( self, resource_group_name, # type: str site_name, # type: str diagnostic_category, # type: str slot, # type: str **kwargs # type: Any ): # type: (...) -> Iterable["_models.DiagnosticDetectorCollection"] """Get Detectors. Description for Get Detectors. :param resource_group_name: Name of the resource group to which the resource belongs. :type resource_group_name: str :param site_name: Site Name. :type site_name: str :param diagnostic_category: Diagnostic Category. :type diagnostic_category: str :param slot: Slot Name. :type slot: str :keyword callable cls: A custom type or function that will be passed the direct response :return: An iterator like instance of either DiagnosticDetectorCollection or the result of cls(response) :rtype: ~azure.core.paging.ItemPaged[~azure.mgmt.web.v2021_01_01.models.DiagnosticDetectorCollection] :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType["_models.DiagnosticDetectorCollection"] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) api_version = "2021-01-01" accept = "application/json" def prepare_request(next_link=None): # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') if not next_link: # Construct URL url = self.list_site_detectors_slot.metadata['url'] # type: ignore path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._]+[^\.]$'), 'siteName': self._serialize.url("site_name", site_name, 'str'), 'diagnosticCategory': self._serialize.url("diagnostic_category", diagnostic_category, 'str'), 'slot': self._serialize.url("slot", slot, 'str'), 'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str') request = self._client.get(url, query_parameters, header_parameters) else: url = next_link query_parameters = {} # type: Dict[str, Any] request = self._client.get(url, query_parameters, header_parameters) return request def extract_data(pipeline_response): deserialized = self._deserialize('DiagnosticDetectorCollection', pipeline_response) list_of_elem = deserialized.value if cls: list_of_elem = cls(list_of_elem) return deserialized.next_link or None, iter(list_of_elem) def get_next(next_link=None): request = prepare_request(next_link) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [200]: error = self._deserialize.failsafe_deserialize(_models.DefaultErrorResponse, response) map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat) return pipeline_response return ItemPaged( get_next, extract_data ) list_site_detectors_slot.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/sites/{siteName}/slots/{slot}/diagnostics/{diagnosticCategory}/detectors'} # type: ignore def get_site_detector_slot( self, resource_group_name, # type: str site_name, # type: str diagnostic_category, # type: str detector_name, # type: str slot, # type: str **kwargs # type: Any ): # type: (...) -> "_models.DetectorDefinition" """Get Detector. Description for Get Detector. :param resource_group_name: Name of the resource group to which the resource belongs. :type resource_group_name: str :param site_name: Site Name. :type site_name: str :param diagnostic_category: Diagnostic Category. :type diagnostic_category: str :param detector_name: Detector Name. :type detector_name: str :param slot: Slot Name. :type slot: str :keyword callable cls: A custom type or function that will be passed the direct response :return: DetectorDefinition, or the result of cls(response) :rtype: ~azure.mgmt.web.v2021_01_01.models.DetectorDefinition :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType["_models.DetectorDefinition"] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) api_version = "2021-01-01" accept = "application/json" # Construct URL url = self.get_site_detector_slot.metadata['url'] # type: ignore path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._]+[^\.]$'), 'siteName': self._serialize.url("site_name", site_name, 'str'), 'diagnosticCategory': self._serialize.url("diagnostic_category", diagnostic_category, 'str'), 'detectorName': self._serialize.url("detector_name", detector_name, 'str'), 'slot': self._serialize.url("slot", slot, 'str'), 'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str') # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') request = self._client.get(url, query_parameters, header_parameters) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [200]: map_error(status_code=response.status_code, response=response, error_map=error_map) error = self._deserialize.failsafe_deserialize(_models.DefaultErrorResponse, response) raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat) deserialized = self._deserialize('DetectorDefinition', pipeline_response) if cls: return cls(pipeline_response, deserialized, {}) return deserialized get_site_detector_slot.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/sites/{siteName}/slots/{slot}/diagnostics/{diagnosticCategory}/detectors/{detectorName}'} # type: ignore def execute_site_detector_slot( self, resource_group_name, # type: str site_name, # type: str detector_name, # type: str diagnostic_category, # type: str slot, # type: str start_time=None, # type: Optional[datetime.datetime] end_time=None, # type: Optional[datetime.datetime] time_grain=None, # type: Optional[str] **kwargs # type: Any ): # type: (...) -> "_models.DiagnosticDetectorResponse" """Execute Detector. Description for Execute Detector. :param resource_group_name: Name of the resource group to which the resource belongs. :type resource_group_name: str :param site_name: Site Name. :type site_name: str :param detector_name: Detector Resource Name. :type detector_name: str :param diagnostic_category: Category Name. :type diagnostic_category: str :param slot: Slot Name. :type slot: str :param start_time: Start Time. :type start_time: ~datetime.datetime :param end_time: End Time. :type end_time: ~datetime.datetime :param time_grain: Time Grain. :type time_grain: str :keyword callable cls: A custom type or function that will be passed the direct response :return: DiagnosticDetectorResponse, or the result of cls(response) :rtype: ~azure.mgmt.web.v2021_01_01.models.DiagnosticDetectorResponse :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType["_models.DiagnosticDetectorResponse"] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) api_version = "2021-01-01" accept = "application/json" # Construct URL url = self.execute_site_detector_slot.metadata['url'] # type: ignore path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._]+[^\.]$'), 'siteName': self._serialize.url("site_name", site_name, 'str'), 'detectorName': self._serialize.url("detector_name", detector_name, 'str'), 'diagnosticCategory': self._serialize.url("diagnostic_category", diagnostic_category, 'str'), 'slot': self._serialize.url("slot", slot, 'str'), 'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] if start_time is not None: query_parameters['startTime'] = self._serialize.query("start_time", start_time, 'iso-8601') if end_time is not None: query_parameters['endTime'] = self._serialize.query("end_time", end_time, 'iso-8601') if time_grain is not None: query_parameters['timeGrain'] = self._serialize.query("time_grain", time_grain, 'str', pattern=r'PT[1-9][0-9]+[SMH]') query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str') # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') request = self._client.post(url, query_parameters, header_parameters) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [200]: map_error(status_code=response.status_code, response=response, error_map=error_map) error = self._deserialize.failsafe_deserialize(_models.DefaultErrorResponse, response) raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat) deserialized = self._deserialize('DiagnosticDetectorResponse', pipeline_response) if cls: return cls(pipeline_response, deserialized, {}) return deserialized execute_site_detector_slot.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/sites/{siteName}/slots/{slot}/diagnostics/{diagnosticCategory}/detectors/{detectorName}/execute'} # type: ignore

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7c3c34b0417671c6964ce79f32d05d39e8a8556f

101

py

Python

nlptoolkit/classification/models/BERT/__init__.py

jackashore/NLP_Toolkit

e5bd8bcfad87f4906c45e66351adf93bd5c2727f

[ "Apache-2.0" ]

2

2020-09-26T11:20:13.000Z

2021-09-17T13:15:48.000Z

nlptoolkit/classification/models/BERT/__init__.py

jackashore/NLP_Toolkit

e5bd8bcfad87f4906c45e66351adf93bd5c2727f

[ "Apache-2.0" ]

null

nlptoolkit/classification/models/BERT/__init__.py

jackashore/NLP_Toolkit

e5bd8bcfad87f4906c45e66351adf93bd5c2727f

[ "Apache-2.0" ]

1

2020-09-09T14:12:19.000Z

from . import preprocessing_funcs from . import trainer from . import train_funcs from . import BERT

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101

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7

7c4e788e5a6957383f9f84ec8f6381fe745e8ae0

109

py

Python

Python/Tests/TestData/Grammar/GenComp.py

techkey/PTVS

8355e67eedd8e915ca49bd38a2f36172696fd903

[ "Apache-2.0" ]

695

2019-05-06T23:49:37.000Z

2022-03-30T01:56:00.000Z

Python/Tests/TestData/Grammar/GenComp.py

techkey/PTVS

8355e67eedd8e915ca49bd38a2f36172696fd903

[ "Apache-2.0" ]

1,672

2019-05-06T21:09:38.000Z

2022-03-31T23:16:04.000Z

Python/Tests/TestData/Grammar/GenComp.py

techkey/PTVS

8355e67eedd8e915ca49bd38a2f36172696fd903

[ "Apache-2.0" ]

186

2019-05-13T03:17:37.000Z

2022-03-31T16:24:05.000Z

(fob for fob in oar) (fob for fob in oar if baz) (fob for fob in oar for baz in quox) baz(fob for fob in oar)

27.25

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1

0

null

0

1

0

7

7caa742435de9672777e974ee9e1be3b78706896

8,174

py

Python

models.py

philipperemy/very-deep-convnets-raw-waveforms

c8bb551e196740b6067fe4736f6360b1278d82d0

[ "Apache-2.0" ]

69

2017-05-14T09:59:21.000Z

2021-08-30T03:27:08.000Z

models.py

philipperemy/very-deep-convnets-raw-waveforms

c8bb551e196740b6067fe4736f6360b1278d82d0

[ "Apache-2.0" ]

3

2017-06-02T08:37:08.000Z

2019-02-26T16:33:23.000Z

models.py

philipperemy/very-deep-convnets-raw-waveforms

c8bb551e196740b6067fe4736f6360b1278d82d0

[ "Apache-2.0" ]

15

2018-02-20T17:40:42.000Z

2021-04-27T13:43:40.000Z

import keras.backend as K from keras import regularizers from keras.layers import Lambda from keras.layers.convolutional import Conv1D, MaxPooling1D from keras.layers.core import Activation, Dense from keras.layers.normalization import BatchNormalization from keras.models import Sequential from constants import * def m3(num_classes=10): print('Using Model M3') m = Sequential() m.add(Conv1D(256, input_shape=[AUDIO_LENGTH, 1], kernel_size=80, strides=4, padding='same', kernel_initializer='glorot_uniform', kernel_regularizer=regularizers.l2(l=0.0001))) m.add(BatchNormalization()) m.add(Activation('relu')) m.add(MaxPooling1D(pool_size=4, strides=None)) m.add(Conv1D(256, kernel_size=3, strides=1, padding='same', kernel_initializer='glorot_uniform', kernel_regularizer=regularizers.l2(l=0.0001))) m.add(BatchNormalization()) m.add(Activation('relu')) m.add(MaxPooling1D(pool_size=4, strides=None)) m.add(Lambda(lambda x: K.mean(x, axis=1))) # Same as GAP for 1D Conv Layer m.add(Dense(num_classes, activation='softmax')) return m def m5(num_classes=10): print('Using Model M5') m = Sequential() m.add(Conv1D(128, input_shape=[AUDIO_LENGTH, 1], kernel_size=80, strides=4, padding='same', kernel_initializer='glorot_uniform', kernel_regularizer=regularizers.l2(l=0.0001))) m.add(BatchNormalization()) m.add(Activation('relu')) m.add(MaxPooling1D(pool_size=4, strides=None)) m.add(Conv1D(128, kernel_size=3, strides=1, padding='same', kernel_initializer='glorot_uniform', kernel_regularizer=regularizers.l2(l=0.0001))) m.add(BatchNormalization()) m.add(Activation('relu')) m.add(MaxPooling1D(pool_size=4, strides=None)) m.add(Conv1D(256, kernel_size=3, strides=1, padding='same', kernel_initializer='glorot_uniform', kernel_regularizer=regularizers.l2(l=0.0001))) m.add(BatchNormalization()) m.add(Activation('relu')) m.add(MaxPooling1D(pool_size=4, strides=None)) m.add(Conv1D(512, kernel_size=3, strides=1, padding='same', kernel_initializer='glorot_uniform', kernel_regularizer=regularizers.l2(l=0.0001))) m.add(BatchNormalization()) m.add(Activation('relu')) m.add(MaxPooling1D(pool_size=4, strides=None)) m.add(Lambda(lambda x: K.mean(x, axis=1))) # Same as GAP for 1D Conv Layer m.add(Dense(num_classes, activation='softmax')) return m def m11(num_classes=10): print('Using Model M11') m = Sequential() m.add(Conv1D(64, input_shape=[AUDIO_LENGTH, 1], kernel_size=80, strides=4, padding='same', kernel_initializer='glorot_uniform', kernel_regularizer=regularizers.l2(l=0.0001))) m.add(BatchNormalization()) m.add(Activation('relu')) m.add(MaxPooling1D(pool_size=4, strides=None)) for i in range(2): m.add(Conv1D(64, kernel_size=3, strides=1, padding='same', kernel_initializer='glorot_uniform', kernel_regularizer=regularizers.l2(l=0.0001))) m.add(BatchNormalization()) m.add(Activation('relu')) m.add(MaxPooling1D(pool_size=4, strides=None)) for i in range(2): m.add(Conv1D(128, kernel_size=3, strides=1, padding='same', kernel_initializer='glorot_uniform', kernel_regularizer=regularizers.l2(l=0.0001))) m.add(BatchNormalization()) m.add(Activation('relu')) m.add(MaxPooling1D(pool_size=4, strides=None)) for i in range(3): m.add(Conv1D(256, kernel_size=3, strides=1, padding='same', kernel_initializer='glorot_uniform', kernel_regularizer=regularizers.l2(l=0.0001))) m.add(BatchNormalization()) m.add(Activation('relu')) m.add(MaxPooling1D(pool_size=4, strides=None)) for i in range(2): m.add(Conv1D(512, kernel_size=3, strides=1, padding='same', kernel_initializer='glorot_uniform', kernel_regularizer=regularizers.l2(l=0.0001))) m.add(BatchNormalization()) m.add(Activation('relu')) m.add(Lambda(lambda x: K.mean(x, axis=1))) # Same as GAP for 1D Conv Layer m.add(Dense(num_classes, activation='softmax')) return m def m_rec(num_classes=10): from keras.layers.recurrent import LSTM print('Using Model LSTM 1') m = Sequential() m.add(Conv1D(64, input_shape=[AUDIO_LENGTH, 1], kernel_size=80, strides=4, padding='same', kernel_initializer='glorot_uniform', kernel_regularizer=regularizers.l2(l=0.0001))) m.add(BatchNormalization()) m.add(Activation('relu')) m.add(MaxPooling1D(pool_size=4, strides=None)) m.add(LSTM(32, kernel_regularizer=regularizers.l2(l=0.0001), return_sequences=True, dropout=0.2)) m.add(LSTM(32, kernel_regularizer=regularizers.l2(l=0.0001), return_sequences=False, dropout=0.2)) m.add(Dense(32)) m.add(Dense(num_classes, activation='softmax')) return m def m18(num_classes=10): print('Using Model M18') m = Sequential() m.add(Conv1D(64, input_shape=[AUDIO_LENGTH, 1], kernel_size=80, strides=4, padding='same', kernel_initializer='glorot_uniform', kernel_regularizer=regularizers.l2(l=0.0001))) m.add(BatchNormalization()) m.add(Activation('relu')) m.add(MaxPooling1D(pool_size=4, strides=None)) for i in range(4): m.add(Conv1D(64, kernel_size=3, strides=1, padding='same', kernel_initializer='glorot_uniform', kernel_regularizer=regularizers.l2(l=0.0001))) m.add(BatchNormalization()) m.add(Activation('relu')) m.add(MaxPooling1D(pool_size=4, strides=None)) for i in range(4): m.add(Conv1D(128, kernel_size=3, strides=1, padding='same', kernel_initializer='glorot_uniform', kernel_regularizer=regularizers.l2(l=0.0001))) m.add(BatchNormalization()) m.add(Activation('relu')) m.add(MaxPooling1D(pool_size=4, strides=None)) for i in range(4): m.add(Conv1D(256, kernel_size=3, strides=1, padding='same', kernel_initializer='glorot_uniform', kernel_regularizer=regularizers.l2(l=0.0001))) m.add(BatchNormalization()) m.add(Activation('relu')) m.add(MaxPooling1D(pool_size=4, strides=None)) for i in range(4): m.add(Conv1D(512, kernel_size=3, strides=1, padding='same', kernel_initializer='glorot_uniform', kernel_regularizer=regularizers.l2(l=0.0001))) m.add(BatchNormalization()) m.add(Activation('relu')) m.add(Lambda(lambda x: K.mean(x, axis=1))) # Same as GAP for 1D Conv Layer m.add(Dense(num_classes, activation='softmax')) return m

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7ce26e31ca321ab4fa819b3209680850181819e4

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py

Python

tests/test_tf_layers.py

xbodx/DeepPavlov

4b60bf162df4294b8b0db3b72786cdd699c674fa

[ "Apache-2.0" ]

5,893

2018-02-01T18:13:20.000Z

2022-03-31T19:22:21.000Z

tests/test_tf_layers.py

xbodx/DeepPavlov

4b60bf162df4294b8b0db3b72786cdd699c674fa

[ "Apache-2.0" ]

749

2018-01-31T11:36:02.000Z

2022-03-30T07:24:22.000Z

tests/test_tf_layers.py

xbodx/DeepPavlov

4b60bf162df4294b8b0db3b72786cdd699c674fa

[ "Apache-2.0" ]

1,155

2018-02-01T10:52:15.000Z

2022-03-29T02:12:15.000Z

import shutil from functools import reduce from pathlib import Path import numpy as np import pytest import tensorflow as tf from deeppavlov.core.layers.tf_layers import cudnn_lstm, cudnn_compatible_lstm, cudnn_gru, cudnn_compatible_gru tests_dir = Path(__file__).parent tf_layers_data_path = tests_dir / "tf_layers_data" def setup_module(): shutil.rmtree(str(tf_layers_data_path), ignore_errors=True) tf_layers_data_path.mkdir(parents=True) def teardown_module(): shutil.rmtree(str(tf_layers_data_path), ignore_errors=True) class DPCudnnLSTMModel: def __init__(self, num_layers, num_units): sess_config = tf.ConfigProto(allow_soft_placement=True) sess_config.gpu_options.allow_growth = True self.sess = tf.Session(config=sess_config) self.x = tf.placeholder(shape=(None, None, 50), dtype=tf.float32) with tf.variable_scope('cudnn_model'): h, (h_last, c_last) = cudnn_lstm(self.x, num_units, num_layers, trainable_initial_states=True) self.h = h self.h_last = h_last self.sess.run(tf.global_variables_initializer()) def __call__(self, x): feed_dict = { self.x: x, } return self.sess.run([self.h, self.h_last], feed_dict=feed_dict) def save(self, path='model'): print('[saving model to {}]'.format(path)) saver = tf.train.Saver() saver.save(self.sess, path) def load(self, path): saver = tf.train.Saver() saver.restore(self.sess, path) class DPLSTMModel: def __init__(self, num_layers, num_units): sess_config = tf.ConfigProto(allow_soft_placement=True) sess_config.gpu_options.allow_growth = True self.sess = tf.Session(config=sess_config) self.x = tf.placeholder(shape=(None, None, 50), dtype=tf.float32) with tf.variable_scope('cudnn_model'): h, (h_last, c_last) = cudnn_compatible_lstm(self.x, num_units, num_layers, trainable_initial_states=True) self.h = h self.h_last = h_last self.sess.run(tf.global_variables_initializer()) def __call__(self, x): feed_dict = { self.x: x, } return self.sess.run([self.h, self.h_last], feed_dict=feed_dict) def save(self, path='model'): print('[saving model to {}]'.format(path)) saver = tf.train.Saver() saver.save(self.sess, path) def load(self, path): saver = tf.train.Saver() saver.restore(self.sess, path) class DPCudnnGRUModel: def __init__(self, num_layers, num_units): sess_config = tf.ConfigProto(allow_soft_placement=True) sess_config.gpu_options.allow_growth = True self.sess = tf.Session(config=sess_config) self.x = tf.placeholder(shape=(None, None, 50), dtype=tf.float32) with tf.variable_scope('cudnn_model'): h, h_last = cudnn_gru(self.x, num_units, num_layers, trainable_initial_states=True) self.h = h self.h_last = h_last self.sess.run(tf.global_variables_initializer()) def __call__(self, x): feed_dict = { self.x: x, } return self.sess.run([self.h, self.h_last], feed_dict=feed_dict) def save(self, path='model'): print('[saving model to {}]'.format(path)) saver = tf.train.Saver() saver.save(self.sess, path) def load(self, path): saver = tf.train.Saver() saver.restore(self.sess, path) class DPGRUModel: def __init__(self, num_layers, num_units): sess_config = tf.ConfigProto(allow_soft_placement=True) sess_config.gpu_options.allow_growth = True self.sess = tf.Session(config=sess_config) self.x = tf.placeholder(shape=(None, None, 50), dtype=tf.float32) with tf.variable_scope('cudnn_model'): h, h_last = cudnn_compatible_gru(self.x, num_units, num_layers, trainable_initial_states=True) self.h = h self.h_last = h_last self.sess.run(tf.global_variables_initializer()) def __call__(self, x): feed_dict = { self.x: x, } return self.sess.run([self.h, self.h_last], feed_dict=feed_dict) def save(self, path='model'): print('[saving model to {}]'.format(path)) saver = tf.train.Saver() saver.save(self.sess, path) def load(self, path): saver = tf.train.Saver() saver.restore(self.sess, path) class TestTFLayers: allowed_error_lvl = 0.01 * 2 ** 0.5 @staticmethod def equal_values(a, b, round=5): a, b = np.round(a, round), np.round(b, round) return np.sum(a == b) / reduce(lambda x, y: x * y, a.shape) @pytest.mark.parametrize("num_layers", [1, 3]) def test_cudnn_lstm_save_load(self, num_layers): x = np.random.normal(size=(10, 10, 50)) tf.reset_default_graph() cdnnlstmmodel = DPCudnnLSTMModel(num_layers=num_layers, num_units=100) before_load_hidden, before_load_state = cdnnlstmmodel(x)[0], cdnnlstmmodel(x)[1] cdnnlstmmodel.save(str(tf_layers_data_path / 'dpcudnnlstmmodel' / 'model')) tf.reset_default_graph() cdnnlstmmodel = DPCudnnLSTMModel(num_layers=num_layers, num_units=100) cdnnlstmmodel.load(str(tf_layers_data_path / 'dpcudnnlstmmodel' / 'model')) after_load_hidden, after_load_state = cdnnlstmmodel(x)[0], cdnnlstmmodel(x)[1] equal_hidden = self.equal_values(after_load_hidden, before_load_hidden) equal_state = self.equal_values(after_load_state, before_load_state) assert equal_hidden > 1 - self.allowed_error_lvl assert equal_state > 1 - self.allowed_error_lvl @pytest.mark.parametrize("num_layers", [1, 3]) def test_cudnn_lstm_save_and_cudnn_compatible_load(self, num_layers): x = np.random.normal(size=(10, 10, 50)) tf.reset_default_graph() cdnnlstmmodel = DPCudnnLSTMModel(num_layers=num_layers, num_units=100) before_load_hidden, before_load_state = cdnnlstmmodel(x)[0], cdnnlstmmodel(x)[1] cdnnlstmmodel.save(str(tf_layers_data_path / 'dpcudnnlstmmodel' / 'model')) tf.reset_default_graph() cdnnlstmmodel = DPLSTMModel(num_layers=num_layers, num_units=100) cdnnlstmmodel.load(str(tf_layers_data_path / 'dpcudnnlstmmodel' / 'model')) after_load_hidden, after_load_state = cdnnlstmmodel(x)[0], cdnnlstmmodel(x)[1] equal_hidden = self.equal_values(after_load_hidden, before_load_hidden) equal_state = self.equal_values(after_load_state, before_load_state) assert equal_hidden > 1 - self.allowed_error_lvl assert equal_state > 1 - self.allowed_error_lvl @pytest.mark.parametrize("num_layers", [1, 3]) def test_cudnn_gru_save_load(self, num_layers): x = np.random.normal(size=(10, 10, 50)) tf.reset_default_graph() cdnngrumodel = DPCudnnGRUModel(num_layers=num_layers, num_units=100) before_load_hidden, before_load_state = cdnngrumodel(x)[0], cdnngrumodel(x)[1] cdnngrumodel.save(str(tf_layers_data_path / 'cdnngrumodel' / 'model')) tf.reset_default_graph() cdnngrumodel = DPCudnnGRUModel(num_layers=num_layers, num_units=100) cdnngrumodel.load(str(tf_layers_data_path / 'cdnngrumodel' / 'model')) after_load_hidden, after_load_state = cdnngrumodel(x)[0], cdnngrumodel(x)[1] equal_hidden = self.equal_values(after_load_hidden, before_load_hidden) equal_state = self.equal_values(after_load_state, before_load_state) assert equal_hidden > 1 - self.allowed_error_lvl assert equal_state > 1 - self.allowed_error_lvl @pytest.mark.parametrize("num_layers", [1, 3]) def test_cudnn_gru_save_and_cudnn_compatible_load(self, num_layers): x = np.random.normal(size=(10, 10, 50)) tf.reset_default_graph() cdnngrumodel = DPCudnnGRUModel(num_layers=num_layers, num_units=100) before_load_hidden, before_load_state = cdnngrumodel(x)[0], cdnngrumodel(x)[1] cdnngrumodel.save(str(tf_layers_data_path / 'cdnngrumodel' / 'model')) tf.reset_default_graph() cdnngrumodel = DPGRUModel(num_layers=num_layers, num_units=100) cdnngrumodel.load(str(tf_layers_data_path / 'cdnngrumodel' / 'model')) after_load_hidden, after_load_state = cdnngrumodel(x)[0], cdnngrumodel(x)[1] equal_hidden = self.equal_values(after_load_hidden, before_load_hidden) equal_state = self.equal_values(after_load_state, before_load_state) assert equal_hidden > 1 - self.allowed_error_lvl assert equal_state > 1 - self.allowed_error_lvl

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7

6b0b06a946dbbcdd778a1f630ba5b50ebc3f66a7

157,575

py

Python

pirates/battle/CombatAnimations.py

Willy5s/Pirates-Online-Rewritten

7434cf98d9b7c837d57c181e5dabd02ddf98acb7

[ "BSD-3-Clause" ]

81

2018-04-08T18:14:24.000Z

2022-01-11T07:22:15.000Z

pirates/battle/CombatAnimations.py

Willy5s/Pirates-Online-Rewritten

7434cf98d9b7c837d57c181e5dabd02ddf98acb7

[ "BSD-3-Clause" ]

4

2018-09-13T20:41:22.000Z

2022-01-08T06:57:00.000Z

pirates/battle/CombatAnimations.py

Willy5s/Pirates-Online-Rewritten

7434cf98d9b7c837d57c181e5dabd02ddf98acb7

[ "BSD-3-Clause" ]

26

2018-05-26T12:49:27.000Z

2021-09-11T09:11:59.000Z

import WeaponGlobals from direct.interval.IntervalGlobal import * from direct.directnotify.DirectNotifyGlobal import directNotify from pandac.PandaModules import * from direct.actor import Actor from pirates.uberdog.UberDogGlobals import InventoryType from pirates.effects.DaggerProjectile import DaggerProjectile from pirates.effects.CameraShaker import CameraShaker from pirates.effects.SmokeCloud import SmokeCloud from pirates.effects.ThrowDirt import ThrowDirt from pirates.effects.ShockwaveRing import ShockwaveRing from pirates.effects.DustRing import DustRing from pirates.effects.WindBlurCone import WindBlurCone from pirates.effects.VenomSpitProjectile import VenomSpitProjectile from pirates.effects.HomingMissile import HomingMissile from pirates.effects.DaggerProjectile import DaggerProjectile from pirates.effects.WispSpiral import WispSpiral from pirates.effects.AttuneSmoke import AttuneSmoke from pirates.effects.MusketSmoke import MusketSmoke from pirates.effects.MusketFlame import MusketFlame from pirates.effects.PistolSmoke import PistolSmoke from pirates.effects.PistolFlame import PistolFlame from pirates.effects.BeamEffect import BeamEffect from pirates.effects.SoulHarvest import SoulHarvest from pirates.effects.DomeExplosion import DomeExplosion from pirates.effects.DarkPortal import DarkPortal from pirates.effects.UnholyFlare import UnholyFlare from pirates.effects.NovaStar import NovaStar from pirates.effects.HomingMissile import HomingMissile from pirates.effects.DarkStar import DarkStar from pirates.effects.Pestilence import Pestilence from pirates.effects.VoodooProjectile import VoodooProjectile from pirates.effects.FlamingSkull import FlamingSkull from pirates.effects.JollySoulDrain import JollySoulDrain from pirates.effects.VoodooFire import VoodooFire from pirates.effects.WitherCharge import WitherCharge from pirates.effects.EvilRingEffect import EvilRingEffect from pirates.effects.VoodooPestilence import VoodooPestilence from pirates.effects.SoulFlay import SoulFlay from pirates.effects.VoodooSouls import VoodooSouls from pirates.effects.VoodooGlow import VoodooGlow from pirates.effects.SoulSpiral import SoulSpiral from pirates.effects.EnergySpiral import EnergySpiral from pirates.effects.VoodooAura import VoodooAura from pirates.effects.VoodooAura2 import VoodooAura2 from pirates.effects.VoodooPower import VoodooPower from pirates.effects.WindWave import WindWave from pirates.effects.DesolationSmoke import DesolationSmoke from pirates.effects.WindCharge import WindCharge from pirates.effects.DesolationChargeSmoke import DesolationChargeSmoke from pirates.effects.SoulHarvest2 import SoulHarvest2 from pirates.effects.VoodooStaffFire import VoodooStaffFire from pirates.effects.MuzzleFlash import MuzzleFlash from pirates.effects.SpectralTrail import SpectralTrail from pirates.effects.SpectralSmoke import SpectralSmoke from pirates.effects.HealSparks import HealSparks from pirates.effects.FadingCard import FadingCard from pirates.effects.JRSoulHarvest import JRSoulHarvest from pirates.effects.JRSoulHarvest2 import JRSoulHarvest2 from pirates.effects.JRGraveSmoke import JRGraveSmoke from pirates.effects.GrapeshotEffect import GrapeshotEffect from pirates.effects.PistolShot import PistolShot from pirates.effects.ScatterShot import ScatterShot from pirates.effects.MusketShot import MusketShot from pirates.effects.VoodooAuraBurst import VoodooAuraBurst from pirates.effects.FlashEffect import FlashEffect from pirates.effects.HealBlast import HealBlast from pirates.effects.PulsingGlow import PulsingGlow from pirates.effects.ConeRays import ConeRays from pirates.effects.VoodooAuraHeal import VoodooAuraHeal from pirates.effects.VoodooAuraDisc import VoodooAuraDisc from pirates.effects.VoodooGroundAura import VoodooGroundAura from pirates.effects.HitPulse import HitPulse from pirates.effects.SimpleSmokeCloud import SimpleSmokeCloud from pirates.effects.MonkeyPanicHit import MonkeyPanicHit from GrenadeProjectile import GrenadeProjectile from pirates.piratesbase import PLocalizer from pirates.inventory import ItemGlobals from pirates.battle.EnemySkills import * import random import copy from direct.showbase.InputStateGlobal import inputState MISTIMEDLIST = [ WeaponGlobals.RESULT_MISTIMED_MISS, WeaponGlobals.RESULT_MISTIMED_HIT] class CombatAnimations(): notify = directNotify.newCategory('CombatAnimations') BASE_GRENADE_POWER = 0.8 def getHack(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None delay = 0.625 if av == localAvatar and av.guiMgr.combatTray.onLastAttack: delay = 0.85 wantTrail = 1 if skillResult in MISTIMEDLIST: wantTrail = 0 ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.startSpecialEffect, skillId), Func(av.currentWeapon.setTrailLength, 0.25), Func(av.currentWeapon.beginAttack, av, wantTrail), Func(av.currentWeapon.playSkillSfx, skillId, av, 0, wantTrail), av.actorInterval('cutlass_combo', playRate=1.0, startFrame=4, endFrame=30, blendInT=0.2, blendOutT=0.3), Func(av.currentWeapon.endAttack, av)), Sequence(Wait(delay), Func(self.unlockInput, av))) return ival def getSlash(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None delay = 0.75 if av == localAvatar and av.guiMgr.combatTray.onLastAttack: delay = 1.3 wantTrail = 1 if skillResult in MISTIMEDLIST: wantTrail = 0 ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.3), Func(av.currentWeapon.beginAttack, av, wantTrail), Func(av.currentWeapon.playSkillSfx, skillId, av, 0, wantTrail), av.actorInterval('cutlass_combo', playRate=1.0, startFrame=31, endFrame=62, blendInT=0.5, blendOutT=0.3), Func(av.currentWeapon.endAttack, av)), Sequence(Wait(delay), Func(self.unlockInput, av))) return ival def getCleave(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None delay = 1.25 if av == localAvatar and av.guiMgr.combatTray.onLastAttack: delay = 1.5 wantTrail = 1 if skillResult in MISTIMEDLIST: wantTrail = 0 ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.4), Func(av.currentWeapon.beginAttack, av, wantTrail), Func(av.currentWeapon.playSkillSfx, skillId, av, 0, wantTrail), av.actorInterval('cutlass_combo', playRate=1.0, startFrame=63, endFrame=101, blendInT=0.5, blendOutT=0.3), Func(av.currentWeapon.endAttack, av)), Sequence(Wait(delay), Func(self.unlockInput, av))) return ival def getFlourish(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None delay = 1.58 if av == localAvatar and av.guiMgr.combatTray.onLastAttack: delay = 2.08 wantTrail = 1 if skillResult in MISTIMEDLIST: wantTrail = 0 ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.4), Func(av.currentWeapon.beginAttack, av, wantTrail), Func(av.currentWeapon.playSkillSfx, skillId, av, 0, wantTrail), av.actorInterval('cutlass_combo', playRate=1.0, startFrame=102, endFrame=150, blendInT=0.5, blendOutT=0.3), Func(av.currentWeapon.endAttack, av)), Sequence(Wait(delay), Func(self.unlockInput, av))) return ival def getThrust(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None delay = 1.8 if av.isLocal() and av.guiMgr.combatTray.onLastAttack: delay = 2.05 wantTrail = 1 if skillResult in MISTIMEDLIST: wantTrail = 0 def startVFX(): unlimited = av.isLocal() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh: effect = WindBlurCone.getEffect(unlimited) if effect and not av.currentWeapon.isEmpty(): colorId = ItemGlobals.getVfxType1(av.currentWeapon.itemId) if colorId == ItemGlobals.MotionBlurDark: effect.setBlendModeOff() else: effect.setBlendModeOn() effect.fadeColor = av.currentWeapon.getBlurColor() effect.reparentTo(av.currentWeapon) effect.fadeTime = 0.4 effect.setPos(0, 0, 0) effect.setScale(1) effect.setH(0) effect.play() ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.5), Func(av.currentWeapon.beginAttack, av, wantTrail), Func(av.currentWeapon.playSkillSfx, skillId, av, 0, wantTrail), av.actorInterval('cutlass_combo', playRate=1.0, startFrame=151, endFrame=164, blendInT=0.5, blendOutT=0), Func(av.currentWeapon.showSpinBlur), av.actorInterval('cutlass_combo', playRate=1.0, startFrame=165, endFrame=170, blendInT=0, blendOutT=0), Func(startVFX), av.actorInterval('cutlass_combo', playRate=1.0, startFrame=171, endFrame=175, blendInT=0, blendOutT=0), Func(av.currentWeapon.hideSpinBlur), av.actorInterval('cutlass_combo', playRate=1.0, startFrame=176, endFrame=210, blendInT=0, blendOutT=0.5), Func(av.currentWeapon.endAttack, av)), Sequence(Wait(delay), Func(self.unlockInput, av))) return ival def getSweep(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None def startVFX(): unlimited = av.isLocal() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh: shockwaveRingEffect = ShockwaveRing.getEffect(unlimited) if shockwaveRingEffect: shockwaveRingEffect.reparentTo(av) shockwaveRingEffect.size = 40 shockwaveRingEffect.setPos(0, 0, 0) shockwaveRingEffect.play() def startVFX2(): unlimited = av.isLocal() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh: shockwaveRingEffect = ShockwaveRing.getEffect(unlimited) if shockwaveRingEffect: shockwaveRingEffect.reparentTo(av) shockwaveRingEffect.size = 40 shockwaveRingEffect.setPos(0, 0, 3) shockwaveRingEffect.play() dustRingEffect = DustRing.getEffect(unlimited) if dustRingEffect: dustRingEffect.reparentTo(av) dustRingEffect.setPos(0, 0, 0) dustRingEffect.play() ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.7), Func(av.currentWeapon.beginAttack, av), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('cutlass_sweep', playRate=1.0, startFrame=1, endFrame=10, blendOutT=0), Func(startVFX), av.actorInterval('cutlass_sweep', playRate=1.0, startFrame=11, endFrame=15, blendInT=0, blendOutT=0), Func(startVFX2), av.actorInterval('cutlass_sweep', playRate=1.0, startFrame=16, endFrame=35, blendInT=0), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av)) return ival def getBlowbackSweep(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None def startVFX(): effect = CameraShaker() effect.reparentTo(av) effect.setPos(0, 0, 0) effect.shakeSpeed = 0.06 effect.shakePower = 2.5 effect.numShakes = 3 effect.scalePower = 1 effect.play(300) unlimited = av.isLocal() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh: shockwaveRingEffect = ShockwaveRing.getEffect(unlimited) if shockwaveRingEffect: shockwaveRingEffect.reparentTo(av) shockwaveRingEffect.size = 40 shockwaveRingEffect.setPos(0, 0, 0) shockwaveRingEffect.play() def startVFX2(): unlimited = av.isLocal() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium: effect = VoodooAuraBurst.getEffect(unlimited) if effect: effect.reparentTo(av) effect.setPos(0, 0, 0.25) effect.setEffectColor(Vec4(0.15, 0.15, 0.15, 1.0)) effect.play() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh: dustRingEffect = DustRing.getEffect(unlimited) if dustRingEffect: dustRingEffect.reparentTo(av) dustRingEffect.setPos(0, 0, 0) dustRingEffect.play() ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.7), Func(av.currentWeapon.beginAttack, av), av.actorInterval('cutlass_sweep', playRate=1.0, startFrame=1, endFrame=10, blendOutT=0), Func(startVFX), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('cutlass_sweep', playRate=1.0, startFrame=11, endFrame=15, blendInT=0, blendOutT=0), Func(startVFX2), av.actorInterval('cutlass_sweep', playRate=1.0, startFrame=16, endFrame=35, blendInT=0), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av)) return ival def getFireSweep(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None def startVFX(): effect = CameraShaker() effect.reparentTo(av) effect.setPos(0, 0, 0) effect.shakeSpeed = 0.06 effect.shakePower = 2.5 effect.numShakes = 3 effect.scalePower = 1 effect.play(300) unlimited = av.isLocal() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh: shockwaveRingEffect = ShockwaveRing.getEffect(unlimited) if shockwaveRingEffect: shockwaveRingEffect.reparentTo(av) shockwaveRingEffect.size = 40 shockwaveRingEffect.setPos(0, 0, 0) shockwaveRingEffect.play() def startVFX2(): unlimited = av.isLocal() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium: effect = VoodooAuraBurst.getEffect(unlimited) if effect: effect.reparentTo(av) effect.setPos(0, 0, 0.25) effect.setEffectColor(Vec4(1, 0.8, 0.4, 0.4)) effect.play() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh: dustRingEffect = DustRing.getEffect(unlimited) if dustRingEffect: dustRingEffect.reparentTo(av) dustRingEffect.setPos(0, 0, 0) dustRingEffect.play() ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.motionFSM.off), Func(av.currentWeapon.startSpecialEffect, skillId), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.7), Func(av.currentWeapon.beginAttack, av), av.actorInterval('cutlass_sweep', playRate=1.0, startFrame=1, endFrame=10, blendOutT=0), Func(startVFX), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('cutlass_sweep', playRate=1.0, startFrame=11, endFrame=15, blendInT=0, blendOutT=0), Func(startVFX2), av.actorInterval('cutlass_sweep', playRate=1.0, startFrame=16, endFrame=35, blendInT=0), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av)) return ival def getIceSweep(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None def startVFX(): effect = CameraShaker() effect.reparentTo(av) effect.setPos(0, 0, 0) effect.shakeSpeed = 0.06 effect.shakePower = 2.5 effect.numShakes = 3 effect.scalePower = 1 effect.play(300) unlimited = av.isLocal() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh: shockwaveRingEffect = ShockwaveRing.getEffect(unlimited) if shockwaveRingEffect: shockwaveRingEffect.reparentTo(av) shockwaveRingEffect.size = 40 shockwaveRingEffect.setPos(0, 0, 0) shockwaveRingEffect.play() def startVFX2(): unlimited = av.isLocal() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium: effect = VoodooAuraBurst.getEffect(unlimited) if effect: effect.reparentTo(av) effect.setPos(0, 0, 0.25) effect.setEffectColor(Vec4(0.4, 0.6, 1, 0.6)) effect.play() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh: dustRingEffect = DustRing.getEffect(unlimited) if dustRingEffect: dustRingEffect.reparentTo(av) dustRingEffect.setPos(0, 0, 0) dustRingEffect.play() ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.motionFSM.off), Func(av.currentWeapon.startSpecialEffect, skillId), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.7), Func(av.currentWeapon.beginAttack, av), av.actorInterval('cutlass_sweep', playRate=1.0, startFrame=1, endFrame=10, blendOutT=0), Func(startVFX), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('cutlass_sweep', playRate=1.0, startFrame=11, endFrame=15, blendInT=0, blendOutT=0), Func(startVFX2), av.actorInterval('cutlass_sweep', playRate=1.0, startFrame=16, endFrame=35, blendInT=0), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av)) return ival def getThunderSweep(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None def startVFX(): effect = CameraShaker() effect.reparentTo(av) effect.setPos(0, 0, 0) effect.shakeSpeed = 0.06 effect.shakePower = 2.5 effect.numShakes = 3 effect.scalePower = 1 effect.play(300) unlimited = av.isLocal() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh: shockwaveRingEffect = ShockwaveRing.getEffect(unlimited) if shockwaveRingEffect: shockwaveRingEffect.reparentTo(av) shockwaveRingEffect.size = 40 shockwaveRingEffect.setPos(0, 0, 0) shockwaveRingEffect.play() def startVFX2(): unlimited = av.isLocal() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium: effect = VoodooAuraBurst.getEffect(unlimited) if effect: effect.reparentTo(av) effect.setPos(0, 0, 0.25) effect.setEffectColor(Vec4(0.7, 0.9, 0.5, 0.5)) effect.play() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh: dustRingEffect = DustRing.getEffect(unlimited) if dustRingEffect: dustRingEffect.reparentTo(av) dustRingEffect.setPos(0, 0, 0) dustRingEffect.play() ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.motionFSM.off), Func(av.currentWeapon.startSpecialEffect, skillId), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.7), Func(av.currentWeapon.beginAttack, av), av.actorInterval('cutlass_sweep', playRate=1.0, startFrame=1, endFrame=10, blendOutT=0), Func(startVFX), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('cutlass_sweep', playRate=1.0, startFrame=11, endFrame=15, blendInT=0, blendOutT=0), Func(startVFX2), av.actorInterval('cutlass_sweep', playRate=1.0, startFrame=16, endFrame=35, blendInT=0), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av)) return ival def getFurySweep(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None def startVFX(): unlimited = av.isLocal() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh: shockwaveRingEffect = ShockwaveRing.getEffect(unlimited) if shockwaveRingEffect: shockwaveRingEffect.reparentTo(av) shockwaveRingEffect.size = 40 shockwaveRingEffect.setPos(0, 0, 0) shockwaveRingEffect.play() def startVFX2(): unlimited = av.isLocal() shockwaveRingEffect = ShockwaveRing.getEffect(unlimited) if shockwaveRingEffect: shockwaveRingEffect.reparentTo(av) shockwaveRingEffect.size = 40 shockwaveRingEffect.setPos(0, 0, 1) shockwaveRingEffect.play() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh: dustRingEffect = DustRing.getEffect(unlimited) if dustRingEffect: dustRingEffect.reparentTo(av) dustRingEffect.setPos(0, 0, 0) dustRingEffect.play() def startVFX3(): unlimited = av.isLocal() shockwaveRingEffect = ShockwaveRing.getEffect(unlimited) if shockwaveRingEffect: shockwaveRingEffect.reparentTo(av) shockwaveRingEffect.size = 40 shockwaveRingEffect.setPos(0, 0, 2) shockwaveRingEffect.play() def startVFX4(): unlimited = av.isLocal() shockwaveRingEffect = ShockwaveRing.getEffect(unlimited) if shockwaveRingEffect: shockwaveRingEffect.reparentTo(av) shockwaveRingEffect.size = 40 shockwaveRingEffect.setPos(0, 0, 3) shockwaveRingEffect.play() ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.7), Func(av.currentWeapon.beginAttack, av), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('cutlass_sweep', playRate=1.0, startFrame=1, endFrame=10, blendOutT=0), Func(startVFX), av.actorInterval('cutlass_sweep', playRate=1.0, startFrame=11, endFrame=18, blendInT=0, blendOutT=0), Func(startVFX2), av.actorInterval('cutlass_sweep', playRate=1.0, startFrame=18, endFrame=26, blendInT=0, blendOutT=0), Func(startVFX3), av.actorInterval('cutlass_sweep', playRate=1.0, startFrame=26, endFrame=35, blendInT=0.0), Func(startVFX4), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av)) return ival def getBladestorm(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.55), Func(av.currentWeapon.beginAttack, av), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('cutlass_bladestorm', playRate=1.0, blendInT=0.5, blendOutT=0.5), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av)) return ival def getBrawl(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.3), Func(av.currentWeapon.beginAttack, av), Func(av.currentWeapon.playSkillSfx, skillId, av)) ival.append(av.actorInterval('cutlass_headbutt', playRate=1.0, blendInT=0.5, blendOutT=0.5)) ival.append(Func(av.currentWeapon.endAttack, av)) ival.append(Func(av.considerEnableMovement)) ival.append(Func(self.unlockInput, av)) return ival def getTaunt(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.setChatAbsolute, PLocalizer.getTauntPhrase(), CFSpeech | CFTimeout), Func(av.currentWeapon.setTrailLength, 0.15), Func(av.currentWeapon.beginAttack, av), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('cutlass_taunt', playRate=1.0, blendInT=0.5, blendOutT=0.5), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av)) return ival def getCower(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.setChatAbsolute, PLocalizer.getNotInFacePhrase(), CFSpeech | CFTimeout), Func(av.currentWeapon.beginAttack, av), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('cower_in_place', playRate=1.0, blendInT=0.5, blendOutT=0.5), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av)) return ival def getMonkeyPanic(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None def startVFX(): unlimited = av.isLocal() flashEffect = FlashEffect() flashEffect.reparentTo(av.headNode) flashEffect.setScale(15.0) flashEffect.fadeTime = 1.0 flashEffect.setEffectColor(Vec4(1, 0.2, 0.2, 1)) flashEffect.play() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh: effect = MonkeyPanicHit.getEffect(unlimited) if effect: effect.reparentTo(av.headNode) effect.setPos(-1, 0, 0) effect.play() ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.15), Func(av.currentWeapon.beginAttack, av), Func(av.currentWeapon.playSkillSfx, skillId, av), Func(startVFX), av.actorInterval('emote_thriller', playRate=1.0, startFrame=265, endFrame=320, blendInT=0.5, blendOutT=0.5), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av)) return ival def getBroadswordHack(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None wantTrail = 1 if skillResult in MISTIMEDLIST: wantTrail = 0 ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.25), Func(av.currentWeapon.beginAttack, av, wantTrail), Func(av.currentWeapon.playSkillSfx, skillId, av, 0, wantTrail), av.actorInterval('broadsword_combo', playRate=1.0, startFrame=1, endFrame=28, blendInT=0.1, blendOutT=0.1), Func(av.currentWeapon.endAttack, av)), Sequence(Wait(0.85), Func(self.unlockInput, av))) return ival def getBroadswordSlash(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None wantTrail = 1 if skillResult in MISTIMEDLIST: wantTrail = 0 ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.3), Func(av.currentWeapon.beginAttack, av, wantTrail), Func(av.currentWeapon.playSkillSfx, skillId, av, 0, wantTrail), av.actorInterval('broadsword_combo', playRate=1.0, startFrame=29, endFrame=60, blendInT=0.5, blendOutT=0.3), Func(av.currentWeapon.endAttack, av)), Sequence(Wait(0.95), Func(self.unlockInput, av))) return ival def getBroadswordCleave(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None wantTrail = 1 if skillResult in MISTIMEDLIST: wantTrail = 0 ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.4), Func(av.currentWeapon.beginAttack, av, wantTrail), Func(av.currentWeapon.playSkillSfx, skillId, av, 0, wantTrail), av.actorInterval('broadsword_combo_motion', playRate=1.0, startFrame=61, endFrame=76, blendInT=0.1, blendOutT=0), av.actorInterval('broadsword_combo', playRate=1.0, startFrame=77, endFrame=96, blendInT=0, blendOutT=0.3), Func(av.currentWeapon.endAttack, av)), Sequence(Wait(1.05), Func(self.unlockInput, av))) return ival def getBroadswordFlourish(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None wantTrail = 1 if skillResult in MISTIMEDLIST: wantTrail = 0 ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.4), Func(av.currentWeapon.beginAttack, av, wantTrail), Func(av.currentWeapon.playSkillSfx, skillId, av, 0, wantTrail), av.actorInterval('broadsword_combo_motion', playRate=1.0, startFrame=97, endFrame=112, blendInT=0.1, blendOutT=0), av.actorInterval('broadsword_combo', playRate=1.0, startFrame=113, endFrame=128, blendInT=0, blendOutT=0), Func(av.currentWeapon.endAttack, av)), Sequence(Wait(0.95), Func(self.unlockInput, av))) return ival def getBroadswordThrust(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None wantTrail = 1 delay = 1.0 if av.isLocal() and av.guiMgr.combatTray.onLastAttack: delay = 1.45 if skillResult in MISTIMEDLIST: wantTrail = 0 def startVFX(): unlimited = av.isLocal() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh: effect = WindBlurCone.getEffect(unlimited) if effect and not av.currentWeapon.isEmpty(): colorId = ItemGlobals.getVfxType1(av.currentWeapon.itemId) if colorId == ItemGlobals.MotionBlurDark: effect.setBlendModeOff() else: effect.setBlendModeOn() effect.fadeColor = av.currentWeapon.getBlurColor() effect.reparentTo(av.currentWeapon) effect.fadeTime = 0.4 effect.setPos(0, 0, 0) effect.setScale(1) effect.setH(0) effect.play() ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.5), Func(av.currentWeapon.beginAttack, av, wantTrail), Func(av.currentWeapon.playSkillSfx, skillId, av, 0, wantTrail), av.actorInterval('broadsword_combo_motion', playRate=1.0, startFrame=129, endFrame=148, blendInT=0.5, blendOutT=0), av.actorInterval('broadsword_combo', playRate=1.0, startFrame=149, endFrame=170, blendInT=0, blendOutT=0), Func(av.currentWeapon.endAttack, av)), Sequence(Wait(delay), Func(self.unlockInput, av))) return ival def getSabreHack(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None wantTrail = 1 if skillResult in MISTIMEDLIST: wantTrail = 0 ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.25), Func(av.currentWeapon.beginAttack, av, wantTrail), Func(av.currentWeapon.playSkillSfx, skillId, av, 0, wantTrail), av.actorInterval('sabre_combo', playRate=1.0, startFrame=1, endFrame=19, blendInT=0.2, blendOutT=0.3), Func(av.currentWeapon.endAttack, av)), Sequence(Wait(0.425), Func(self.unlockInput, av))) return ival def getSabreSlash(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None wantTrail = 1 if skillResult in MISTIMEDLIST: wantTrail = 0 ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.3), Func(av.currentWeapon.beginAttack, av, wantTrail), Func(av.currentWeapon.playSkillSfx, skillId, av, 0, wantTrail), av.actorInterval('sabre_combo', playRate=1.0, startFrame=20, endFrame=37, blendInT=0.1, blendOutT=0.1), Func(av.currentWeapon.endAttack, av)), Sequence(Wait(0.4), Func(self.unlockInput, av))) return ival def getSabreCleave(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None wantTrail = 1 if skillResult in MISTIMEDLIST: wantTrail = 0 ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.4), Func(av.currentWeapon.beginAttack, av, wantTrail), Func(av.currentWeapon.playSkillSfx, skillId, av, 0, wantTrail), av.actorInterval('sabre_combo', playRate=1.0, startFrame=38, endFrame=81, blendInT=0.5, blendOutT=0.3), Func(av.currentWeapon.endAttack, av)), Sequence(Wait(1.0), Func(self.unlockInput, av))) return ival def getSabreFlourish(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None wantTrail = 1 if skillResult in MISTIMEDLIST: wantTrail = 0 ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.4), Func(av.currentWeapon.beginAttack, av, wantTrail), Func(av.currentWeapon.playSkillSfx, skillId, av, 0, wantTrail), av.actorInterval('sabre_combo_motion', playRate=1.0, startFrame=82, endFrame=94, blendInT=0.1, blendOutT=0), av.actorInterval('sabre_combo', playRate=1.0, startFrame=95, endFrame=121, blendInT=0, blendOutT=0.1), Func(av.currentWeapon.endAttack, av)), Sequence(Wait(1.0), Func(self.unlockInput, av))) return ival def getSabreThrust(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None delay = 1.3 if av.isLocal() and av.guiMgr.combatTray.onLastAttack: delay = 1.55 wantTrail = 1 if skillResult in MISTIMEDLIST: wantTrail = 0 def startVFX(): unlimited = av.isLocal() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh: effect = WindBlurCone.getEffect(unlimited) if effect and not av.currentWeapon.isEmpty(): colorId = ItemGlobals.getVfxType1(av.currentWeapon.itemId) if colorId == ItemGlobals.MotionBlurDark: effect.setBlendModeOff() else: effect.setBlendModeOn() effect.fadeColor = av.currentWeapon.getBlurColor() effect.reparentTo(av.currentWeapon) effect.fadeTime = 0.4 effect.setPos(0, 0, 0) effect.setScale(1) effect.setH(0) effect.play() ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.5), Func(av.currentWeapon.beginAttack, av, wantTrail), Func(av.currentWeapon.playSkillSfx, skillId, av, 0, wantTrail), av.actorInterval('sabre_combo_motion', playRate=1.0, startFrame=122, endFrame=147, blendInT=0.5, blendOutT=0), av.actorInterval('sabre_combo', playRate=1.0, startFrame=148, endFrame=175, blendInT=0, blendOutT=0), Func(av.currentWeapon.endAttack, av)), Sequence(Wait(delay), Func(self.unlockInput, av))) return ival def getCut(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None delay = 0.75 if av == localAvatar and av.guiMgr.combatTray.onLastAttack: delay = 1.25 wantTrail = 1 if skillResult in MISTIMEDLIST: wantTrail = 0 ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.25), Func(av.currentWeapon.beginAttack, av, wantTrail), Func(av.currentWeapon.playSkillSfx, skillId, av, 0, wantTrail), av.actorInterval('dagger_combo', playRate=1.0, startFrame=1, endFrame=28, blendInT=0.2, blendOutT=0.5), Func(av.currentWeapon.endAttack, av)), Sequence(Wait(delay), Func(self.unlockInput, av))) return ival def getSwipe(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None delay = 0.583 if av == localAvatar and av.guiMgr.combatTray.onLastAttack: delay = 1.083 wantTrail = 1 if skillResult in MISTIMEDLIST: wantTrail = 0 ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.3), Func(av.currentWeapon.beginAttack, av, wantTrail), Func(av.currentWeapon.playSkillSfx, skillId, av, 0, wantTrail), av.actorInterval('dagger_combo', playRate=1.0, startFrame=29, endFrame=53, blendInT=0.5, blendOutT=0.5), Func(av.currentWeapon.hideSpinBlur), Func(av.currentWeapon.endAttack, av)), Sequence(Wait(delay), Func(self.unlockInput, av)), Sequence(Wait(0.1), Func(av.currentWeapon.showSpinBlur))) return ival def getGouge(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None delay = 0.958 if av == localAvatar and av.guiMgr.combatTray.onLastAttack: delay = 1.458 wantTrail = 1 if skillResult in MISTIMEDLIST: wantTrail = 0 ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.5), Func(av.currentWeapon.beginAttack, av, wantTrail), Func(av.currentWeapon.playSkillSfx, skillId, av, 0, wantTrail), av.actorInterval('dagger_combo', playRate=1.0, startFrame=54, endFrame=87, blendInT=0.5, blendOutT=0.5), Func(av.currentWeapon.endAttack, av)), Sequence(Wait(delay), Func(self.unlockInput, av))) return ival def getEviscerate(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None delay = 1.9 if av == localAvatar and av.guiMgr.combatTray.onLastAttack: delay = 2.4 wantTrail = 1 if skillResult in MISTIMEDLIST: wantTrail = 0 ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.6), Func(av.currentWeapon.beginAttack, av, wantTrail), Func(av.currentWeapon.playSkillSfx, skillId, av, 0, wantTrail), av.actorInterval('dagger_combo', playRate=1.0, startFrame=88, endFrame=142, blendInT=0.5, blendOutT=0.5), Func(av.currentWeapon.endAttack, av)), Sequence(Wait(delay), Func(self.unlockInput, av))) return ival def throwDagger(self, av, time, targetPos, motion_color=None, startOffset=Vec3(0, 0, 0), roll=0, leftHand=False, skillId=None, target=None): if av: if skillId: targetPos, speed, impactT = av.getProjectileInfo(skillId, target) time *= speed roll += random.uniform(-15.0, 15.0) effect = DaggerProjectile.getEffect() if effect: effect.reparentTo(render) if leftHand: effect.setPos(av.leftHandNode, startOffset) else: effect.setPos(av.rightHandNode, startOffset) effect.setHpr(av.getH(render) + roll, 90 + roll, roll) effect.play(time, targetPos, motion_color) def throwDaggerRain(self, av, time, targetPos, motion_color=None, startOffset=Vec3(0, 0, 0), roll=0, leftHand=False, skillId=None, target=None): if av: if skillId: targetPos, speed, impactT = av.getProjectileInfo(skillId, target) newTargetPos = Point3(targetPos.getX() + random.uniform(-2.0, 2.0), targetPos.getY() + random.uniform(-2.0, 2.0), targetPos.getZ()) time *= speed roll += random.uniform(-15.0, 15.0) effect = DaggerProjectile.getEffect() if effect: effect.reparentTo(render) if leftHand: effect.setPos(av.leftHandNode, startOffset) else: effect.setPos(av.rightHandNode, startOffset) effect.setHpr(av.getH(render) + roll, 90 + roll, roll) effect.play(time, newTargetPos, motion_color) def getDaggerThrowDirtInterval(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None def startVFX(): unlimited = av.isLocal() effect = ThrowDirt.getEffect(unlimited) if effect: effect.reparentTo(render) effect.setPos(av.getPos(render)) effect.setHpr(av.getHpr(render)) effect.particleDummy.setPos(av.getPos(render)) effect.particleDummy.setHpr(av.getHpr(render)) effect.play() ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(base.disableMouse), Func(av.currentWeapon.endAttack, av), Func(av.currentWeapon.setTrailLength, 0.25), Func(av.currentWeapon.hideWeapon), Func(av.currentWeapon.beginAttack, av), av.actorInterval('dagger_throw_sand', playRate=1.0, startFrame=1, endFrame=10, blendInT=0.2, blendOutT=0), Func(av.currentWeapon.playSkillSfx, skillId, av), Func(startVFX), av.actorInterval('dagger_throw_sand', playRate=1.0, startFrame=11, endFrame=38, blendInT=0, blendOutT=0.3), Func(av.currentWeapon.showWeapon), Func(av.considerEnableMovement), Func(self.unlockInput, av)) return ival def getDaggerAspInterval(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None targetPos, speed, impactT = av.getProjectileInfo(skillId, target) track = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.25), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('knife_throw', endFrame=17, blendInT=0.2, blendOutT=0), Parallel(av.actorInterval('knife_throw', startFrame=18, blendInT=0, blendOutT=0.4), Func(self.throwDagger, av, speed, targetPos, skillId=skillId, target=target), Func(av.currentWeapon.hideWeapon)), Func(av.currentWeapon.showWeapon), Func(self.unlockInput, av)) return track def getDaggerAdderInterval(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None motion_color = [ Vec4(0.1, 1.0, 0.4, 1.0), Vec4(0.5, 1.0, 0.4, 1.0)] targetPos, speed, impactT = av.getProjectileInfo(skillId, target) track = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.25), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('knife_throw', endFrame=17, blendInT=0.2, blendOutT=0), Parallel(av.actorInterval('knife_throw', startFrame=18, blendInT=0, blendOutT=0.4), Func(self.throwDagger, av, 1.0, targetPos, motion_color, skillId=skillId, target=target), Func(av.currentWeapon.hideWeapon)), Func(av.currentWeapon.showWeapon), Func(self.unlockInput, av)) return track def getDaggerSidewinderInterval(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None motion_color = [ Vec4(1.0, 0.0, 0.0, 1.0), Vec4(1.0, 0.2, 0.0, 1.0)] targetPos, speed, impactT = av.getProjectileInfo(skillId, target) track = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.25), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('dagger_asp', endFrame=7, blendInT=0.1, blendOutT=0), Parallel(av.actorInterval('dagger_asp', startFrame=8, blendInT=0, blendOutT=0.4), Func(self.throwDagger, av, 1.0, targetPos, motion_color, roll=90, skillId=skillId, target=target), Func(av.currentWeapon.hideWeapon)), Func(av.currentWeapon.showWeapon), Func(self.unlockInput, av)) return track def getDaggerViperNestInterval(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None numDaggers = 12.0 time = 0.7 placeHolder = av.attachNewNode('daggerPlaceHolder') daggerTossIval = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.25), av.actorInterval('dagger_vipers_nest', startFrame=21, endFrame=35, blendInT=0, blendOutT=0.4), Func(av.currentWeapon.showWeapon), Func(av.considerEnableMovement), Func(self.unlockInput, av))) for i in range(numDaggers): if av.isLocal(): placeHolder.setPos(camera, random.uniform(-12, 12), random.uniform(100, 120), random.uniform(8, 18)) else: placeHolder.setPos(av, random.uniform(-12, 12), random.uniform(100, 120), random.uniform(2, 12)) targetPos = placeHolder.getPos(render) daggerTossIval.append(Func(self.throwDagger, av, time + random.uniform(-0.5, 1.0), targetPos, startOffset=Vec3(-3, 0, 0), roll=90)) placeHolder.removeNode() track = Sequence(Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.hideWeapon), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('dagger_vipers_nest', endFrame=20, blendOutT=0), daggerTossIval) return track def getDaggerBarrageInterval(self, av, skillId, ammoSkillId, charge, target, skillResult, areaList=[]): if not av.currentWeapon: return None motion_color = [ Vec4(1.0, 0.0, 0.0, 1.0), Vec4(1.0, 0.2, 0.0, 1.0)] numDaggers = 6.0 time = 0.7 placeHolder = av.attachNewNode('daggerPlaceHolder') placeHolder2 = placeHolder.attachNewNode('daggerPlaceHolder2') daggerTossIval = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.25), av.actorInterval('dagger_vipers_nest', startFrame=21, endFrame=35, blendInT=0, blendOutT=0.4), Func(av.currentWeapon.showWeapon), Func(av.considerEnableMovement), Func(self.unlockInput, av))) if target: targetPos, speed, impactT = av.getProjectileInfo(skillId, target) daggerTossIval.append(Func(self.throwDagger, av, speed, targetPos, motion_color, startOffset=Vec3(-3, 0, 0), roll=90)) for enemy in areaList: targetPos, speed, impactT = av.getProjectileInfo(skillId, enemy) daggerTossIval.append(Func(self.throwDagger, av, speed, targetPos, motion_color, startOffset=Vec3(-3, 0, 0), roll=90)) if av.isLocal(): placeHolder.setPos(camera, 0, 0, 0) else: placeHolder.setPos(av, 0, 0, 0) for i in range(numDaggers): placeHolder.setH(i * 360 / numDaggers) placeHolder2.setPos(0, random.uniform(100, 120), random.uniform(2, 12)) targetPos = placeHolder2.getPos(render) daggerTossIval.append(Func(self.throwDagger, av, time + random.uniform(-0.5, 1.0), targetPos, motion_color, startOffset=Vec3(-3, 0, 0), roll=90)) placeHolder.removeNode() track = Sequence(Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.hideWeapon), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('dagger_vipers_nest', endFrame=20, blendOutT=0), daggerTossIval) return track def getDaggerThrowCombo1Interval(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None motion_color = [ Vec4(1.0, 0.0, 0.0, 1.0), Vec4(1.0, 0.2, 0.0, 1.0)] targetPos, speed, impactT = av.getProjectileInfo(skillId, target) track = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.25), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('dagger_throw_combo', endFrame=6, playRate=1.5, blendInT=0.1, blendOutT=0), Parallel(av.actorInterval('dagger_throw_combo', startFrame=7, endFrame=23, playRate=1.5, blendInT=0, blendOutT=0.4), Func(self.throwDagger, av, 0.5, targetPos, motion_color, skillId=skillId, target=target), Func(av.currentWeapon.hideWeapon)), Func(av.currentWeapon.showWeapon), Func(self.unlockInput, av)) return track def getDaggerThrowCombo2Interval(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None motion_color = [ Vec4(1.0, 0.0, 0.0, 1.0), Vec4(1.0, 0.2, 0.0, 1.0)] targetPos, speed, impactT = av.getProjectileInfo(skillId, target) track = Sequence(Func(av.currentWeapon.reparentTo, av.leftHandNode), Func(av.attackTire), Func(self.lockInput, av), Func(av.currentWeapon.setTrailLength, 0.25), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('dagger_throw_combo', startFrame=24, endFrame=30, playRate=1.5, blendInT=0.1, blendOutT=0), Parallel(av.actorInterval('dagger_throw_combo', startFrame=31, endFrame=46, playRate=1.5, blendInT=0, blendOutT=0.4), Func(self.throwDagger, av, 0.5, targetPos, motion_color, leftHand=True, skillId=skillId, target=target), Func(av.currentWeapon.hideWeapon)), Func(av.currentWeapon.reparentTo, av.rightHandNode), Func(av.currentWeapon.showWeapon), Func(self.unlockInput, av)) return track def getDaggerThrowCombo3Interval(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return motion_color = [ Vec4(1.0, 0.0, 0.0, 1.0), Vec4(1.0, 0.2, 0.0, 1.0)] dagger2 = copy.copy(av.currentWeapon) av.setSecondWeapon(dagger2) targetPos, speed, impactT = av.getProjectileInfo(skillId, target) track = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(dagger2.reparentTo, av.leftHandNode), Func(av.currentWeapon.setTrailLength, 0.25), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('dagger_throw_combo', startFrame=47, endFrame=56, playRate=1.5, blendInT=0.1, blendOutT=0), Parallel(av.actorInterval('dagger_throw_combo', startFrame=57, endFrame=78, playRate=1.5, blendInT=0, blendOutT=0.1), Func(self.throwDagger, av, 0.5, targetPos, motion_color, skillId=skillId, target=target), Sequence(Wait(0.011), Func(self.throwDagger, av, 0.5, targetPos, motion_color, leftHand=True, skillId=skillId, target=target)), Func(av.setSecondWeapon, None), Func(av.currentWeapon.hideWeapon)), Func(av.currentWeapon.showWeapon), Func(self.unlockInput, av)) return track def getDaggerThrowCombo4Interval(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return motion_color = [ Vec4(1.0, 0.0, 0.0, 1.0), Vec4(1.0, 0.2, 0.0, 1.0)] dagger2 = copy.copy(av.currentWeapon) av.setSecondWeapon(dagger2) targetPos, speed, impactT = av.getProjectileInfo(skillId, target) track = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(dagger2.reparentTo, av.leftHandNode), Func(av.currentWeapon.setTrailLength, 0.25), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('dagger_throw_combo', startFrame=79, endFrame=93, playRate=1.5, blendInT=0.1, blendOutT=0), Parallel(av.actorInterval('dagger_throw_combo', startFrame=94, endFrame=130, playRate=1.5, blendInT=0, blendOutT=0.4), Func(self.throwDagger, av, 0.5, targetPos, motion_color, roll=90, skillId=skillId, target=target), Sequence(Wait(0.011), Func(self.throwDagger, av, 0.5, targetPos, motion_color, roll=90, leftHand=True, skillId=skillId, target=target)), Func(av.setSecondWeapon, None), Func(av.currentWeapon.hideWeapon)), Func(av.currentWeapon.showWeapon), Func(self.unlockInput, av)) return track def getDaggerRainInterval(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None motion_color = [ Vec4(1.0, 0.0, 0.0, 1.0), Vec4(1.0, 0.2, 0.0, 1.0)] targetPos, speed, impactT = av.getProjectileInfo(skillId, target) numDaggers = 3.0 daggerTossIval = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.25), av.actorInterval('dagger_asp', startFrame=7, endFrame=20, blendInT=0, blendOutT=0.4), Func(av.currentWeapon.showWeapon), Func(av.considerEnableMovement), Func(self.unlockInput, av))) for i in range(numDaggers): daggerTossIval.append(Wait(0.011 * i)) daggerTossIval.append(Func(self.throwDaggerRain, av, random.uniform(0.95, 1.05), targetPos, motion_color, roll=90, skillId=skillId, target=target)) track = Sequence(Func(av.motionFSM.off), Func(av.attackTire), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.hideWeapon), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('dagger_asp', endFrame=6, blendOutT=0), daggerTossIval) return track def getDaggerAcidDaggerInterval(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None motion_color = [ Vec4(1.0, 1.0, 0.0, 1.0), Vec4(1.0, 1.0, 0.2, 1.0)] targetPos, speed, impactT = av.getProjectileInfo(skillId, target) track = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.25), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('dagger_asp', endFrame=7, blendInT=0.1, blendOutT=0), Parallel(av.actorInterval('dagger_asp', startFrame=8, blendInT=0, blendOutT=0.4), Func(self.throwDagger, av, 1.0, targetPos, motion_color, roll=90, skillId=skillId, target=target), Func(av.currentWeapon.hideWeapon)), Func(av.currentWeapon.showWeapon), Func(self.unlockInput, av)) return track def getPistolChargingAnim(self, av, skillId, ammoSkillId, charge, target, skillResult): subtype = ItemGlobals.getSubtype(av.currentWeaponId) anim = ItemGlobals.getChargingAnim(subtype) if ItemGlobals.shouldStopToAim(subtype): track = Sequence(Func(av.motionFSM.moveLock), Func(base.cr.targetMgr.setWantAimAssist, 1), Func(av.setAimMod, -0.5), av.actorInterval(anim, loop=1, duration=9999, blendInT=0.3, blendOutT=0.3)) elif anim: track = Sequence(Func(base.cr.targetMgr.setWantAimAssist, 1), Func(av.setAimMod, -0.5), av.actorInterval(anim, loop=1, duration=9999, blendInT=0.3, blendOutT=0.3)) else: track = Sequence(Func(base.cr.targetMgr.setWantAimAssist, 1), Func(av.setAimMod, -0.5), av.actorInterval('gun_aim_idle', loop=1, duration=9999, blendInT=0.3, blendOutT=0.3)) return track def getPistolReloadAnim(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return def finishReload(): if av.isLocal(): messenger.send('reloadFinished') if ItemGlobals.getType(av.currentWeaponId) == ItemGlobals.GUN: sfx = av.currentWeapon.reloadSfx else: sfx = None anim = ItemGlobals.getReloadAnim(ItemGlobals.getSubtype(av.currentWeaponId)) if anim: if ItemGlobals.getSubtype(av.currentWeaponId) == ItemGlobals.BLUNDERBUSS: ramRod = av.currentWeapon.getRamRod() track = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.setAimMod, 0), Func(base.playSfx, sfx, node=av, cutoff=60), av.actorInterval(anim, startFrame=1, endFrame=13, blendInT=0, blendOutT=0), Func(ramRod.reparentTo, av.leftHandNode), av.actorInterval(anim, startFrame=14, endFrame=68, blendInT=0, blendOutT=0), Func(ramRod.detachNode), av.actorInterval(anim, startFrame=69, endFrame=110, blendInT=0, blendOutT=0), Func(finishReload), Func(self.unlockInput, av)) else: track = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.setAimMod, 0), Func(base.playSfx, sfx, node=av, cutoff=60), av.actorInterval(anim, blendInT=0, blendOutT=0), Func(finishReload), Func(self.unlockInput, av)) else: track = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.setAimMod, 0), Func(base.playSfx, sfx, node=av, cutoff=60), av.actorInterval('gun_reload', blendInT=0, blendOutT=0), Func(finishReload), Func(self.unlockInput, av)) del finishReload return track def getPistolFireAnim(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None subtype = ItemGlobals.getSubtype(av.currentWeaponId) if subtype in [ItemGlobals.MUSKET, ItemGlobals.BAYONET]: return self.getBayonetFireAnim(av, skillId, ammoSkillId, charge, target, skillResult) elif subtype in [ItemGlobals.BLUNDERBUSS]: return self.getPistolScattershotAnim(av, skillId, ammoSkillId, charge, target, skillResult) def startVFX(): unlimited = av.isLocal() pistolFlame = PistolShot.getEffect(unlimited) if pistolFlame: pistolFlame.reparentTo(av.currentWeapon) pistolFlame.setPos(1.25, 0.3, 0) pistolFlame.setHpr(0, 0, 90) pistolFlame.setScale(1) pistolFlame.play() anim = ItemGlobals.getFireAnim(ItemGlobals.getSubtype(av.currentWeaponId)) if anim: ival = Sequence(Func(base.cr.targetMgr.setWantAimAssist, 0), Func(self.lockInput, av), Func(av.attackTire), Func(av.setAimMod, 0), av.actorInterval(anim, startFrame=1, endFrame=3, blendInT=0.0, blendOutT=0.0, playRate=1.0), Func(startVFX), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval(anim, startFrame=4, endFrame=12, blendInT=0.0, blendOutT=0.0, playRate=1.0), Func(self.unlockInput, av), av.actorInterval(anim, startFrame=13, blendInT=0, blendOutT=0.3, playRate=1.0)) else: ival = Sequence(Func(base.cr.targetMgr.setWantAimAssist, 0), Func(self.lockInput, av), Func(av.attackTire), Func(av.setAimMod, 0), Func(startVFX), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('gun_fire', endFrame=12, blendInT=0, blendOutT=0), Func(self.unlockInput, av), av.actorInterval('gun_fire', startFrame=13, blendInT=0, blendOutT=0.3)) del startVFX return ival def getPistolTakeAimAnim(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None def startVFX(): unlimited = av.isLocal() if base.cr.wantSpecialEffects and base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh: pistolSmokeEffect = PistolSmoke.getEffect(unlimited) if pistolSmokeEffect: pistolSmokeEffect.reparentTo(av) pistolSmokeEffect.setPos(av, 1.2, 2.5, 5) pistolSmokeEffect.play() pistolFlameEffect = PistolFlame.getEffect(unlimited) if pistolFlameEffect: pistolFlameEffect.reparentTo(av) pistolFlameEffect.particleDummy.reparentTo(av) pistolFlameEffect.flash.setScale(30) pistolFlameEffect.setPos(av, 1.2, 2.5, 5) pistolFlameEffect.setColorScale(1, 1, 1, 1) pistolFlameEffect.play() subtype = ItemGlobals.getSubtype(av.currentWeaponId) anim = ItemGlobals.getTakeAimAnim(subtype) if anim: if subtype in (ItemGlobals.BAYONET, ItemGlobals.MUSKET, ItemGlobals.BLUNDERBUSS): ival = Sequence(Func(av.motionFSM.off), Func(base.cr.targetMgr.setWantAimAssist, 0), Func(av.setAimMod, 0), Func(self.lockInput, av), Func(av.attackTire), Func(startVFX), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval(anim, playRate=1, startFrame=26, blendInT=0, blendOutT=0.3), Func(av.considerEnableMovement), Func(self.unlockInput, av)) else: ival = Sequence(Func(base.cr.targetMgr.setWantAimAssist, 0), Func(av.setAimMod, 0), Func(self.lockInput, av), Func(av.attackTire), Func(startVFX), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval(anim, playRate=1, startFrame=1, blendInT=0, blendOutT=0.3), Func(self.unlockInput, av)) else: ival = Sequence(Func(base.cr.targetMgr.setWantAimAssist, 0), Func(av.setAimMod, 0), Func(self.lockInput, av), Func(av.attackTire), Func(startVFX), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('gun_fire', playRate=1, blendInT=0, blendOutT=0.3), Func(self.unlockInput, av)) del startVFX return ival def getPistolScattershotAnim(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None def startVFX(): unlimited = av.isLocal() pistolFlame = ScatterShot.getEffect(unlimited) if pistolFlame: pistolFlame.reparentTo(av.currentWeapon) pistolFlame.setPos(1.75, 0.25, 0) pistolFlame.setHpr(0, 0, 90) pistolFlame.setScale(0.4) pistolFlame.play() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium: effect = GrapeshotEffect.getEffect(unlimited) if effect: effect.reparentTo(render) effect.setHpr(av, 0, 0, 0) effect.setPos(av, 1.2, 2.0, 4) effect.setScale(0.2) effect.time = 0.5 effect.play() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh: effect = SimpleSmokeCloud.getEffect(unlimited) if effect: effect.reparentTo(av.currentWeapon) effect.setPos(1.75, 0.25, 0) effect.setEffectScale(0.1) effect.play() anim = ItemGlobals.getFireAnim(ItemGlobals.getSubtype(av.currentWeaponId)) ival = Sequence(Func(base.cr.targetMgr.setWantAimAssist, 0), Func(self.lockInput, av), Func(av.attackTire), Func(av.setAimMod, 0), av.actorInterval(anim, startFrame=9, endFrame=11, blendInT=0.1, blendOutT=0), Func(av.currentWeapon.playSkillSfx, skillId, av), Func(startVFX), av.actorInterval(anim, startFrame=12, endFrame=39, blendInT=0.0, blendOutT=0.3), Func(self.unlockInput, av)) del startVFX return ival def getGrenadeReloadAnim(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None def finishReload(): if av.isLocal(): messenger.send('reloadFinished') if av.currentWeapon.ammoSkillId == InventoryType.GrenadeSiege: track = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.detachFrom, av), av.actorInterval('bigbomb_draw', endFrame=11, blendInT=0, blendOutT=0), Func(av.currentWeapon.attachTo, av), av.actorInterval('bigbomb_draw', startFrame=12, blendInT=0, blendOutT=0.3), Func(finishReload), Func(self.unlockInput, av)) else: track = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.detachFrom, av), av.actorInterval('bomb_draw', endFrame=5, blendInT=0, blendOutT=0), Func(av.currentWeapon.attachTo, av), av.actorInterval('bomb_draw', startFrame=5, blendInT=0, blendOutT=0.3), Func(finishReload), Func(self.unlockInput, av)) del finishReload return track def getGrenadeChargingAnim(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None if av.currentWeapon.ammoSkillId == InventoryType.GrenadeSiege: track = Parallel(Sequence(Func(av.motionFSM.moveLock), Func(av.currentWeapon.hideMouse, av), av.actorInterval('bigbomb_charge', blendInT=0.3, blendOutT=0), av.actorInterval('bigbomb_charge_loop', loop=1, duration=9999, blendInT=0, blendOutT=0.3)), SoundInterval(av.currentWeapon.chargingSfx, loop=1, node=av, cutOff=60)) else: track = Parallel(Sequence(Func(av.setAimMod, -0.5), Func(av.currentWeapon.hideMouse, av), av.actorInterval('bomb_charge', blendInT=0.3, blendOutT=0), av.actorInterval('bomb_charge_loop', loop=1, duration=9999, blendInT=0, blendOutT=0.3)), SoundInterval(av.currentWeapon.chargingSfx, loop=1, node=av, cutOff=60)) return track def getGrenadeThrow(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None if ammoSkillId == InventoryType.GrenadeSiege: attachTime = av.getFrameTime('bigbomb_throw', 40) track = Parallel(Func(self.lockInput, av), Func(av.attackTire), Func(av.setAimMod, 0), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.playSkillSfx, av.currentWeapon.ammoSkillId, av), Sequence(av.actorInterval('bigbomb_throw', blendInT=0.3, blendOutT=0.3), Func(av.considerEnableMovement), Func(self.unlockInput, av)), Sequence(Wait(attachTime), Func(av.currentWeapon.detachFrom, av), Func(self.spawnGrenade, av, skillId, ammoSkillId, charge, target, skillResult))) else: attachTime = av.getFrameTime('bomb_throw', 15) track = Parallel(Func(self.lockInput, av), Func(av.attackTire), Func(av.setAimMod, 0), Func(av.currentWeapon.playSkillSfx, skillId, av), Sequence(av.actorInterval('bomb_throw', blendInT=0.3, blendOutT=0.3), Func(self.unlockInput, av)), Sequence(Wait(attachTime), Func(av.currentWeapon.detachFrom, av), Func(self.spawnGrenade, av, skillId, ammoSkillId, charge, target, skillResult))) return track def getGrenadeLongVolley(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None if ammoSkillId == InventoryType.GrenadeSiege: attachTime = av.getFrameTime('bigbomb_charge_throw', 9) track = Parallel(Func(self.lockInput, av), Func(av.attackTire), Func(av.setAimMod, 0), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.playSkillSfx, av.currentWeapon.ammoSkillId, av), Sequence(av.actorInterval('bigbomb_charge_throw', blendInT=0.3, blendOutT=0.3), Func(av.considerEnableMovement), Func(self.unlockInput, av)), Sequence(Wait(attachTime), Func(av.currentWeapon.detachFrom, av), Func(self.spawnGrenade, av, skillId, ammoSkillId, charge, target, skillResult))) else: attachTime = av.getFrameTime('bomb_charge_throw', 4) track = Parallel(Func(self.lockInput, av), Func(av.attackTire), Func(av.setAimMod, 0), Func(av.currentWeapon.playSkillSfx, skillId, av, startTime=2.0), Sequence(av.actorInterval('bomb_charge_throw', blendInT=0.3, blendOutT=0.3), Func(self.unlockInput, av)), Sequence(Wait(attachTime), Func(av.currentWeapon.detachFrom, av), Func(self.spawnGrenade, av, skillId, ammoSkillId, charge, target, skillResult))) return track def spawnGrenade(self, av, skillId, ammoSkillId, charge, target, skillResult): grenade = GrenadeProjectile(av.cr, ammoSkillId, av.projectileHitEvent) grenade.detachNode() grenade.setBillboardPointEye() grenadeModelCol = grenade.find('**/collide') if grenadeModelCol and not grenadeModelCol.isEmpty(): grenadeModelCol.removeNode() if av.isLocal(): collNode = grenade.getCollNode() collNode.reparentTo(render) else: collNode = None av.ammoSequence = av.ammoSequence + 1 & 255 grenade.setTag('ammoSequence', str(av.ammoSequence)) grenade.setTag('skillId', str(int(skillId))) grenade.setTag('ammoSkillId', str(int(ammoSkillId))) grenade.setTag('attackerId', str(av.getDoId())) self.putGrenadeInHand(av, grenade) self.addCollider(av, grenade, collNode) self.throwGrenade(av, skillId, ammoSkillId, grenade, collNode, charge, target) return def addCollider(self, av, grenade, collNode): if av.isLocal(): base.cTrav.addCollider(collNode, grenade.collHandler) def removeCollider(self, av, collNode): if av.isLocal(): base.cTrav.removeCollider(collNode) def throwGrenade(self, av, skillId, ammoSkillId, grenade, collNode, powerMod=0, target=None): if not av: return startPos = av.rightHandNode.getPos(render) endPos = None duration = None wayPoint = None timeToWayPoint = None if target == None: power = WeaponGlobals.getAttackProjectilePower(skillId, ammoSkillId) power *= powerMod + self.BASE_GRENADE_POWER if av.isLocal(): pitch = camera.getP(render) else: pitch = 0.0 m = av.getMat(render) startVel = m.xformVec(Vec3(0, power, 30 + pitch)) if av.isLocal(): forwardVel = av.controlManager.currentControls.getSpeeds()[0] sideVel = av.controlManager.currentControls.getSpeeds()[2] avVel = m.xformVec(Vec3(sideVel / 3.0, forwardVel, 0)) startVel += avVel endPlaneZ = startPos[2] - 100 else: startVel = None endPos = target.getPos(render) wayPoint = endPos endPos = None tgtDist = av.getDistance(target) duration = WeaponGlobals.getAIProjectileAirTime(tgtDist) timeToWayPoint = duration duration = None endPlaneZ = wayPoint.getZ() - 100 try: projInterval = ProjectileInterval(grenade, startPos=startPos, endPos=endPos, duration=duration, startVel=startVel, endZ=endPlaneZ, collNode=collNode, wayPoint=wayPoint, timeToWayPoint=timeToWayPoint) except StandardError, e: raise StandardError('(localAv %s) Invalid projectile parameters(%s,%s,%s,%s,%s,%s,%s)' % (av.isLocal(), startPos, endPos, duration, startVel, endPlaneZ, wayPoint, timeToWayPoint)) ival = Sequence(projInterval, Func(self.removeCollider, av, collNode), Func(grenade.destroy), name='Grenade-%s-%s' % (av.doId, grenade.get_key())) grenade.setIval(ival, start=True) return def putGrenadeInHand(self, av, grenade): grenade.reparentTo(render) grenade.setPos(render, av.rightHandNode.getPos(render)) def playCastingAnim(self, av): if not av.currentWeapon: return None if av.attuneEffect: av.attuneEffect.castEffect.start() effect = FadingCard(av.currentWeapon.effectCard, av.currentWeapon.effectColor) effect.reparentTo(av.currentWeapon) effect.play() return None def getPoke(self, av, skillId, ammoSkillId, charge, target, skillResult): ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.attackTire), Func(self.playCastingAnim, av), av.actorInterval('voodoo_doll_poke', endFrame=50, playRate=1.0, blendInT=0.3, blendOutT=0.3), Func(self.unlockInput, av)) return ival def getEvilEye(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None def startVFX(): unlimited = av.isLocal() attuneEffect = VoodooAura.getEffect(unlimited) if attuneEffect: attuneEffect.reparentTo(render) attuneEffect.setPos(av.headNode, 0, 0, 0) attuneEffect.setEffectColor(Vec4(0.2, 0.1, 0.5, 1)) attuneEffect.particleDummy.reparentTo(render) attuneEffect.play() if target: if hasattr(target, 'creature'): if target.creature: targetPos = target.creature.headNode.isEmpty() or target.creature.headNode.getPos(render) else: targetPos = target.getPos(render) elif hasattr(target, 'headNode'): targetPos = target.headNode.getPos(render) else: targetPos = target.getPos(render) else: dummy = av.attachNewNode('dummy') dummy.setPos(0, 30, 4) targetPos = dummy.getPos(render) dummy.removeNode() moveIval = LerpPosInterval(attuneEffect, 0.4, targetPos) moveIval.start() ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(startVFX), av.actorInterval('emote_anger', playRate=2.0, blendInT=0.2, blendOutT=0.3), Func(self.unlockInput, av)) return ival def getReflect(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None def startVFX(): unlimited = av.isLocal() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium: auraPulse = HitPulse.getEffect(unlimited) if auraPulse: auraPulse.reparentTo(av) auraPulse.setEffectColor(Vec4(1, 0.9, 0.6, 0.75)) auraPulse.effectModel.setPos(0, 3, 4.0) auraPulse.setScale(1.0) if target: auraPulse.lookAt(target) else: auraPulse.lookAt(base.camera) auraPulse.play() flashEffect = FlashEffect() flashEffect.reparentTo(av.rightHandNode) flashEffect.setScale(10.0) flashEffect.fadeTime = 1.0 flashEffect.setEffectColor(Vec4(1, 0.9, 0.6, 1)) flashEffect.play() auraEffect = VoodooAura2.getEffect(unlimited) if auraEffect: auraEffect.reparentTo(render) auraEffect.setPos(av, 0, 2, 4) auraEffect.setEffectColor(Vec4(1, 0.9, 0.6, 0.15)) auraEffect.particleDummy.reparentTo(render) auraEffect.play() if target: if hasattr(target, 'creature'): if target.creature: targetPos = target.creature.headNode.isEmpty() or target.creature.headNode.getPos(render) else: targetPos = target.getPos(render) else: targetPos = target.headNode.getPos(render) moveIval = LerpPosInterval(auraEffect, 0.4, targetPos) moveIval.start() ival = Sequence(Func(self.lockInput, av), av.actorInterval('voodoo_tune', playRate=1.5, startFrame=0, endFrame=20, blendInT=0.1, blendOutT=0.0), Func(startVFX), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('voodoo_tune', playRate=1.5, startFrame=20, endFrame=35, blendInT=0.0, blendOutT=0.3), Func(self.unlockInput, av)) return ival def getAttune(self, av, skillId, ammoSkillId, charge, target, skillResult): ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), av.actorInterval('voodoo_tune', playRate=2.0, endFrame=35, blendInT=0.2, blendOutT=0.3), Func(self.unlockInput, av)) return ival def getUnattune(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None ival = Sequence(Func(self.lockInput, av), Func(av.currentWeapon.playUnattuneSfx, av.currentWeapon), av.actorInterval('voodoo_swarm', playRate=1.0, blendInT=0.3, blendOutT=0.3), Func(self.unlockInput, av)) return ival def getHeal(self, av, skillId, ammoSkillId, charge, target, skillResult): ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(self.playCastingAnim, av), av.actorInterval('voodoo_swarm', playRate=1.0, blendInT=0.3, blendOutT=0.3), Func(self.unlockInput, av)) return ival def getShackles(self, av, skillId, ammoSkillId, charge, target, skillResult): ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(self.playCastingAnim, av), av.actorInterval('voodoo_swarm', playRate=1.0, blendInT=0.3, blendOutT=0.3), Func(self.unlockInput, av)) return ival def getSwarm(self, av, skillId, ammoSkillId, charge, target, skillResult): ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(self.playCastingAnim, av), av.actorInterval('voodoo_swarm', playRate=1.0, blendInT=0.3, blendOutT=0.3), Func(self.unlockInput, av)) return ival def getBurn(self, av, skillId, ammoSkillId, charge, target, skillResult): ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(self.playCastingAnim, av), av.actorInterval('voodoo_swarm', playRate=1.0, blendInT=0.3, blendOutT=0.3), Func(self.unlockInput, av)) return ival def getCure(self, av, skillId, ammoSkillId, charge, target, skillResult): ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(self.playCastingAnim, av), av.actorInterval('voodoo_swarm', playRate=1.0, blendInT=0.3, blendOutT=0.3), Func(self.unlockInput, av)) return ival def getHexWard(self, av, skillId, ammoSkillId, charge, target, skillResult): def startVFX(): unlimited = av.isLocal() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium: auraPulse = HitPulse.getEffect(unlimited) if auraPulse: auraPulse.reparentTo(av) auraPulse.setEffectColor(Vec4(0.4, 0.3, 1, 0.75)) auraPulse.effectModel.setPos(0, 3, 4.0) auraPulse.setScale(1.0) if target: auraPulse.lookAt(target) else: auraPulse.lookAt(base.camera) auraPulse.play() flashEffect = FlashEffect() flashEffect.reparentTo(av.rightHandNode) flashEffect.setScale(10.0) flashEffect.fadeTime = 1.0 flashEffect.setEffectColor(Vec4(0.2, 0.6, 1, 1)) flashEffect.play() ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(self.playCastingAnim, av), Func(startVFX), av.actorInterval('voodoo_swarm', playRate=1.0, blendInT=0.3, blendOutT=0.3), Func(self.unlockInput, av)) return ival def getCaptainsResolve(self, av, skillId, ammoSkillId, charge, target, skillResult): def startVFX(): unlimited = av.isLocal() pulseFlash = PulsingGlow.getEffect(unlimited) if pulseFlash: pulseFlash.reparentTo(av.currentWeapon) pulseFlash.setEffectColor(Vec4(0.3, 1, 1, 0.8)) pulseFlash.setScale(1.0) pulseFlash.play() coneRays = ConeRays.getEffect(unlimited) if coneRays: coneRays.reparentTo(av) coneRays.setPos(0, 0, 1.0) coneRays.setEffectColor(Vec4(0.3, 1, 1, 0.2)) coneRays.play() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh: healBlast = HealBlast.getEffect(unlimited) if healBlast: healBlast.reparentTo(av) healBlast.setPos(0, 0, 6.0) healBlast.play() def startVFX2(): unlimited = av.isLocal() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium: healDisc = VoodooGroundAura.getEffect(unlimited) if healDisc: healDisc.setEffectColor(Vec4(0.3, 1, 1, 0.35)) healDisc.reparentTo(av) healDisc.play() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh: healAura = VoodooAuraHeal.getEffect(unlimited) if healAura: healAura.setEffectColor(Vec4(0.3, 1, 1, 0.5)) healAura.reparentTo(av) healAura.play() ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(self.playCastingAnim, av), Func(startVFX), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('voodoo_swarm', playRate=1.0, startFrame=0, endFrame=12, blendInT=0.3, blendOutT=0.0), Func(startVFX2), av.actorInterval('voodoo_swarm', playRate=1.0, startFrame=12, endFrame=64, blendInT=0, blendOutT=0.3), Func(self.unlockInput, av)) return ival def getCurse(self, av, skillId, ammoSkillId, charge, target, skillResult): ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(self.playCastingAnim, av), av.actorInterval('voodoo_swarm', playRate=1.0, blendInT=0.3, blendOutT=0.3), Func(self.unlockInput, av)) return ival def getLifeDrain(self, av, skillId, ammoSkillId, charge, target, skillResult): def startVFX(): unlimited = av.isLocal() effect = SpectralSmoke.getEffect(unlimited) if effect: effect.reparentTo(av) effect.setPos(av, 0, 0, av.getHeight() / 2.0) effect.setScale(1, 1, av.getHeight() / 2.0) effect.play(duration=2.0, delay=1.5) if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh: effect = HealSparks.getEffect(unlimited) if effect: effect.reparentTo(av) effect.setPos(av, 0, 0, av.getHeight() / 1.5) effect.setScale(1, 1, av.getHeight() / 2.0) effect.setEffectColor(Vec4(0.2, 0.2, 1.0, 1)) effect.play(delay=1.5) if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium: effect = HomingMissile.getEffect(unlimited) if effect and target: effect.reparentTo(render) effect.setPos(target, 0, 0, target.getHeight() - 1.5) effect.target = av effect.initialVelocity = Vec3(0, 0, 1.5) effect.targetOffset = Vec3(0, 0, 3.0) effect.duration = 1.75 effect.wantTrail = 0 effect.particleEffect = SpectralTrail.getEffect() effect.play() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh: effect = HomingMissile.getEffect(unlimited) if effect and target: effect.reparentTo(render) effect.setPos(target, 0, 0, target.getHeight() - 1.5) effect.target = av randomness = random.random() * 1.25 effect.initialVelocity = Vec3(-1.0 - randomness, 0, 1.5) effect.targetOffset = Vec3(0, 0, 3.0) effect.duration = 1.5 + randomness effect.wantTrail = 0 effect.particleEffect = SpectralTrail.getEffect() effect.play() effect = HomingMissile.getEffect(unlimited) if effect and target: effect.reparentTo(render) effect.setPos(target, 0, 0, target.getHeight() - 1.5) effect.target = av randomness = random.random() * 1.25 effect.initialVelocity = Vec3(1.0 + randomness, 0, 1.5) effect.targetOffset = Vec3(0, 0, 3.0) effect.duration = 1.5 + randomness effect.wantTrail = 0 effect.particleEffect = SpectralTrail.getEffect() effect.play() ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(self.playCastingAnim, av), Parallel(av.actorInterval('voodoo_swarm', playRate=1.0, blendInT=0.3, blendOutT=0.3), Sequence(Wait(0.5), Func(startVFX))), Func(self.unlockInput, av)) del startVFX return ival def startChargeSound(self, av, skillId): if not av.currentWeapon: return None skillInfo = WeaponGlobals.getSkillAnimInfo(skillId) getChargeSfxFunc = skillInfo[WeaponGlobals.HIT_SFX_INDEX] getChargeLoopSfxFunc = skillInfo[WeaponGlobals.MISS_SFX_INDEX] av.currentWeapon.chargeSound = getChargeSfxFunc() av.currentWeapon.chargeLoopSound = getChargeLoopSfxFunc() av.currentWeapon.chargeSoundSequence = Sequence(SoundInterval(av.currentWeapon.chargeSound, loop=0, node=av.currentWeapon, cutOff=60), SoundInterval(av.currentWeapon.chargeLoopSound, loop=1, duration=1000, node=av.currentWeapon, cutOff=60)) av.currentWeapon.chargeSoundSequence.start() if hasattr(av.currentWeapon, 'startChargeEffect'): av.currentWeapon.startChargeEffect() return None def stopChargeSound(self, av): if not av.currentWeapon: return if av.currentWeapon.chargeSoundSequence: av.currentWeapon.chargeSoundSequence.finish() av.currentWeapon.chargeSoundSequence = None if av.currentWeapon.chargeSound: av.currentWeapon.chargeSound.stop() av.currentWeapon.chargeSound = None if av.currentWeapon.chargeLoopSound: av.currentWeapon.chargeLoopSound.stop() av.currentWeapon.chargeLoopSound = None if hasattr(av.currentWeapon, 'stopChargeEffect'): av.currentWeapon.stopChargeEffect() return def playCastSound(self, av, skillId): skillInfo = WeaponGlobals.getSkillAnimInfo(skillId) getCastSfxFunc = skillInfo[WeaponGlobals.HIT_SFX_INDEX] soundFX = getCastSfxFunc() if soundFX: base.playSfx(soundFX, node=av, cutoff=60) def getChargeWitherAnim(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None def startVFX(): unlimited = av.isLocal() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium: av.currentWeapon.effect = WitherCharge.getEffect(unlimited) if av.currentWeapon.effect and not av.currentWeapon.isEmpty(): av.currentWeapon.effect.reparentTo(av.currentWeapon) av.currentWeapon.effect.setPos(av.currentWeapon, -0.1, 1.5, 0) av.currentWeapon.effect.setPos(av.currentWeapon, av.currentWeapon.getOffset(av.currentWeapon.itemId)) av.currentWeapon.effect.setEffectColor(av.currentWeapon.getEffectColor(av.currentWeapon.itemId)) av.currentWeapon.effect.startLoop() seq = Sequence(Func(av.motionFSM.moveLock), Func(av.currentWeapon.hideMouse, av), Func(base.cr.targetMgr.setWantAimAssist, 1), Func(self.startChargeSound, av, skillId), Func(startVFX), av.actorInterval('wand_cast_start', blendOutT=0), Func(av.loop, 'wand_cast_idle', blendT=0)) del startVFX return seq def getCastWitherAnim(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None def startVFX(): unlimited = av.isLocal() if av.currentWeapon.effect: av.currentWeapon.effect.stopLoop() av.currentWeapon.effect = None effect = SoulHarvest.getEffect(unlimited) if effect: effect.reparentTo(av.getParent()) effect.setPos(av, 0, 5, 0) effect.radius = av.cr.battleMgr.getModifiedAttackAreaRadius(av, skillId, ammoSkillId) effect.setEffectColor(av.currentWeapon.getEffectColor(av.currentWeapon.itemId)) effect.play() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium: effect = DomeExplosion.getEffect(unlimited) if effect: effect.reparentTo(av.getParent()) effect.setPos(av, 0, 5, 0) effect.size = av.cr.battleMgr.getModifiedAttackAreaRadius(av, skillId, ammoSkillId) * 2.0 effect.play() effect = DarkPortal.getEffect(unlimited) if effect: effect.reparentTo(av.getParent()) effect.setPos(av, 0, 5, 0) effect.size = av.cr.battleMgr.getModifiedAttackAreaRadius(av, skillId, ammoSkillId) * 4.0 effect.play() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh: effect = EvilRingEffect.getEffect(unlimited) if effect: effect.reparentTo(av.getParent()) effect.setPos(av, 0, 5, 0) effect.effectScale = av.cr.battleMgr.getModifiedAttackAreaRadius(av, skillId, ammoSkillId) effect.setEffectColor(av.currentWeapon.getEffectColor(av.currentWeapon.itemId)) effect.duration = 2.5 effect.play() return seq = Sequence(Func(av.considerEnableMovement), Func(self.lockInput, av), Func(self.stopChargeSound, av), Func(self.playCastSound, av, skillId), Func(startVFX), av.actorInterval('wand_cast_fire'), Func(self.unlockInput, av)) del startVFX return seq def getChargeSoulflayAnim(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None def startVFX(): unlimited = av.isLocal() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium: av.currentWeapon.effect = SoulSpiral.getEffect(unlimited) if av.currentWeapon.effect and not av.currentWeapon.isEmpty(): av.currentWeapon.effect.reparentTo(av.currentWeapon) av.currentWeapon.effect.setPos(av.currentWeapon, -0.1, 1.5, 0) av.currentWeapon.effect.setHpr(av.currentWeapon, 0.0, -90.0, 0.0) av.currentWeapon.effect.setEffectColor(av.currentWeapon.getEffectColor(av.currentWeapon.itemId)) av.currentWeapon.effect.setScale(0.9, 0.9, 0.9) av.currentWeapon.effect.startLoop() seq = Sequence(Func(av.motionFSM.moveLock), Func(av.currentWeapon.hideMouse, av), Func(base.cr.targetMgr.setWantAimAssist, 1), Func(self.startChargeSound, av, skillId), Func(startVFX), av.actorInterval('wand_cast_start', blendOutT=0), Func(av.loop, 'wand_cast_idle', blendT=0)) del startVFX return seq def getCastSoulFlayAnim(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None def startVFX(): unlimited = av.isLocal() if av.currentWeapon.effect: av.currentWeapon.effect.stopLoop() av.currentWeapon.effect = None effect = SoulFlay.getEffect(unlimited) if effect: effect.reparentTo(av.getParent()) effect.setPos(av, 0.0, 4.0, 3.0) effect.setHpr(av, 0.0, -90.0, 0.0) effect.setEffectColor(av.currentWeapon.getEffectColor(av.currentWeapon.itemId)) effect.play() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium: dummy = NodePath('effect') dummy.reparentTo(av.getParent()) dummy.setPos(av, 0.0, 4.0, 4.0) dummy.setHpr(av, 0.0, 0.0, 0.0) effect = VoodooSouls.getEffect(unlimited) if effect: effect.reparentTo(dummy) effect.setEffectColor(av.currentWeapon.getEffectColor(av.currentWeapon.itemId)) effect.play() posIval = LerpPosInterval(effect, 1.0, Vec3(0.0, 50.0, 0.0), startPos=Vec3(0.0, 0.0, 0.0)) posIval.start() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh: effect = VoodooGlow.getEffect(unlimited) if effect and not av.currentWeapon.isEmpty(): effect.reparentTo(av.currentWeapon) effect.setPos(av.currentWeapon, av.currentWeapon.getOffset(av.currentWeapon.itemId)) effect.setEffectColor(av.currentWeapon.getEffectColor(av.currentWeapon.itemId)) effect.play() return seq = Sequence(Func(av.considerEnableMovement), Func(self.lockInput, av), Func(av.attackTire), Func(startVFX), Func(self.stopChargeSound, av), Func(self.playCastSound, av, skillId), av.actorInterval('wand_cast_fire'), Func(self.unlockInput, av)) del startVFX return seq def getChargePestilenceAnim(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None def startVFX(): unlimited = av.isLocal() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium: av.currentWeapon.effectActor = Actor.Actor('models/effects/mopath_none', {'spin': 'models/effects/mopath_spiral'}) joint = av.currentWeapon.effectActor.find('**/joint1') av.currentWeapon.effectActor.setScale(1.0, 0.75, 1.0) av.currentWeapon.effectActor.setHpr(av.currentWeapon.getHpr()) av.currentWeapon.effectActor.reparentTo(av.currentWeapon) av.currentWeapon.effectActor.setPos(av.currentWeapon, 0.0, 1.8, 0.0) av.currentWeapon.effectActor.setPlayRate(1.2, 'spin') av.currentWeapon.effectActor.loop('spin') av.currentWeapon.effect = VoodooPestilence.getEffect(unlimited) if av.currentWeapon.effect and not av.currentWeapon.isEmpty(): av.currentWeapon.effect.particleDummy.reparentTo(av.currentWeapon) av.currentWeapon.effect.reparentTo(joint) av.currentWeapon.effect.effectScale = 1.0 av.currentWeapon.effect.startLoop() seq = Sequence(Func(av.motionFSM.moveLock), Func(av.currentWeapon.hideMouse, av), Func(base.cr.targetMgr.setWantAimAssist, 1), Func(self.startChargeSound, av, skillId), Func(startVFX), av.actorInterval('wand_cast_start', blendOutT=0), Func(av.loop, 'wand_cast_idle', blendT=0)) del startVFX return seq def getCastPestilenceAnim(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None def startVFX(): unlimited = av.isLocal() if av.currentWeapon.effect: av.currentWeapon.effect.stopLoop() av.currentWeapon.effect = None effect = Pestilence.getEffect(unlimited) if effect: effect.reparentTo(av.getParent()) effect.setPos(av, 0, 4.0, 3.0) effect.setHpr(av, 0, -90, 0) effect.play() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium: if not av.currentWeapon.effectActor: av.currentWeapon.effectActor = Actor.Actor('models/effects/mopath_none', {'spin': 'models/effects/mopath_spiral'}) joint = av.currentWeapon.effectActor.find('**/joint1') av.currentWeapon.effectActor.reparentTo(av.getParent()) av.currentWeapon.effectActor.setPos(av, 0.0, 13.0, 4.0) av.currentWeapon.effectActor.setHpr(av.getHpr()) av.currentWeapon.effectActor.setPlayRate(1.8, 'spin') av.currentWeapon.effectActor.play('spin') scaleIval = LerpScaleInterval(av.currentWeapon.effectActor, 0.25, Vec3(10.0, 25.0, 10.0), startScale=Vec3(2.0, 15.0, 2.0)) scaleIval.start() effect = VoodooPestilence.getEffect(unlimited) if effect: effect.particleDummy.reparentTo(av.getParent()) effect.reparentTo(joint) effect.effectScale = 4.0 effect.play() return seq = Sequence(Func(av.considerEnableMovement), Func(self.lockInput, av), Func(av.attackTire), Func(startVFX), Func(self.stopChargeSound, av), Func(self.playCastSound, av, skillId), av.actorInterval('wand_cast_fire'), Func(self.unlockInput, av)) del startVFX return seq def getChargeHellfireAnim(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None def startVFX(): unlimited = av.isLocal() offset = av.currentWeapon.getOffset(av.currentWeapon.itemId) + Vec3(0, 0.2, 0) av.currentWeapon.effect = FlamingSkull.getEffect(unlimited) if av.currentWeapon.effect and not av.currentWeapon.isEmpty(): av.currentWeapon.effect.reparentTo(av.currentWeapon) av.currentWeapon.effect.setPos(av.currentWeapon, offset + Vec3(0.2, 1, 0.3)) av.currentWeapon.effect.setHpr(av.currentWeapon, 0, -90, 40) av.currentWeapon.effect.startLoop() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium: av.currentWeapon.effect2 = VoodooStaffFire.getEffect(unlimited) if av.currentWeapon.effect2 and not av.currentWeapon.isEmpty(): av.currentWeapon.effect2.reparentTo(av.currentWeapon) av.currentWeapon.effect2.setPos(av.currentWeapon, offset) av.currentWeapon.effect2.setHpr(av.currentWeapon, 0, -90, 0) av.currentWeapon.effect2.setEffectColor(av.currentWeapon.getEffectColor(av.currentWeapon.itemId)) av.currentWeapon.effect2.startLoop() seq = Sequence(Func(av.motionFSM.moveLock), Func(av.currentWeapon.hideMouse, av), Func(base.cr.targetMgr.setWantAimAssist, 1), Func(self.startChargeSound, av, skillId), Func(startVFX), av.actorInterval('wand_cast_start', blendOutT=0), Func(av.loop, 'wand_cast_idle', blendT=0)) del startVFX return seq def getCastHellfireAnim(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None def startVFX(): if isinstance(av.currentWeapon.effect, FlamingSkull): av.currentWeapon.effect.wrtReparentTo(render) targetPos, speed, impactT = av.getProjectileInfo(skillId, None) av.currentWeapon.effect.playLaunch(speed, targetPos) if av.currentWeapon.effect2: av.currentWeapon.effect2.stopLoop() av.currentWeapon.effect2 = None return seq = Sequence(Func(av.considerEnableMovement), Func(self.lockInput, av), Func(av.attackTire), Func(startVFX), Func(self.stopChargeSound, av), Func(self.playCastSound, av, skillId), av.actorInterval('wand_cast_fire'), Func(self.unlockInput, av)) del startVFX return seq def getChargeBanishAnim(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None def startVFX(): unlimited = av.isLocal() offset = av.currentWeapon.getOffset(av.currentWeapon.itemId) av.currentWeapon.effect = VoodooPower.getEffect(unlimited) if av.currentWeapon.effect and not av.currentWeapon.isEmpty(): av.currentWeapon.effect.reparentTo(av.currentWeapon) av.currentWeapon.effect.setPos(av.currentWeapon, offset + Vec3(0, 1.45, -0.1)) av.currentWeapon.effect.setEffectColor(av.currentWeapon.getEffectColor(av.currentWeapon.itemId)) av.currentWeapon.effect.startLoop() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium: av.currentWeapon.effect2 = EnergySpiral.getEffect(unlimited) if av.currentWeapon.effect2 and not av.currentWeapon.isEmpty(): av.currentWeapon.effect2.reparentTo(av.currentWeapon) av.currentWeapon.effect2.setPos(av.currentWeapon, offset + Vec3(0, 0, -0.1)) av.currentWeapon.effect2.setHpr(av.currentWeapon, 0.0, -90.0, 0.0) av.currentWeapon.effect2.setEffectColor(av.currentWeapon.getEffectColor(av.currentWeapon.itemId)) av.currentWeapon.effect2.startLoop() seq = Sequence(Func(av.motionFSM.moveLock), Func(av.currentWeapon.hideMouse, av), Func(base.cr.targetMgr.setWantAimAssist, 1), Func(self.startChargeSound, av, skillId), Func(startVFX), av.actorInterval('wand_cast_start', blendOutT=0), Func(av.loop, 'wand_cast_idle', blendT=0)) del startVFX return seq def getCastBanishAnim(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None def startVFX(): unlimited = av.isLocal() if av.currentWeapon.effect: av.currentWeapon.effect.stopLoop() av.currentWeapon.effect = None if av.currentWeapon.effect2: av.currentWeapon.effect2.stopLoop() av.currentWeapon.effect2 = None if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium: effect = VoodooGlow.getEffect(unlimited) if effect and not av.currentWeapon.isEmpty(): effect.reparentTo(av.currentWeapon) effect.setPos(av.currentWeapon, av.currentWeapon.getOffset(av.currentWeapon.itemId)) effect.setEffectColor(av.currentWeapon.getEffectColor(av.currentWeapon.itemId)) effect.play() return seq = Sequence(Func(av.considerEnableMovement), Func(self.lockInput, av), Func(av.attackTire), Func(startVFX), Func(self.stopChargeSound, av), Func(self.playCastSound, av, skillId), av.actorInterval('wand_cast_fire'), Func(self.unlockInput, av)) del startVFX return seq def getChargeDesolationAnim(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None def startVFX(): unlimited = av.isLocal() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium: av.currentWeapon.effectActor = Actor.Actor('models/effects/mopath_none', {'spin': 'models/effects/mopath_spiral'}) joint = av.currentWeapon.effectActor.find('**/joint1') av.currentWeapon.effectActor.setScale(1.0, 0.75, 1.0) av.currentWeapon.effectActor.setP(0.0) av.currentWeapon.effectActor.reparentTo(av.currentWeapon) av.currentWeapon.effectActor.setPos(av.currentWeapon, 0.0, 1.7, 0.0) av.currentWeapon.effectActor.setPlayRate(1.5, 'spin') av.currentWeapon.effectActor.loop('spin') av.currentWeapon.effect = DesolationChargeSmoke.getEffect(unlimited) if av.currentWeapon.effect and not av.currentWeapon.isEmpty(): av.currentWeapon.effect.particleDummy.reparentTo(av.currentWeapon) av.currentWeapon.effect.reparentTo(joint) av.currentWeapon.effect.effectScale = 1.0 av.currentWeapon.effect.startLoop() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh: av.currentWeapon.effect2 = WindCharge.getEffect(unlimited) if av.currentWeapon.effect2 and not av.currentWeapon.isEmpty(): av.currentWeapon.effect2.reparentTo(av.currentWeapon) av.currentWeapon.effect2.setPos(av.currentWeapon, 0.0, 1.25, 0.0) av.currentWeapon.effect2.setHpr(0, -90, 0) av.currentWeapon.effect2.startLoop() seq = Sequence(Func(av.motionFSM.moveLock), Func(av.currentWeapon.hideMouse, av), Func(base.cr.targetMgr.setWantAimAssist, 1), Func(self.startChargeSound, av, skillId), Func(startVFX), av.actorInterval('wand_cast_start', blendOutT=0), Func(av.loop, 'wand_cast_idle', blendT=0)) del startVFX return seq def getCastDesolationAnim(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None def startVFX(): unlimited = av.isLocal() if av.currentWeapon.effect: av.currentWeapon.effect.stopLoop() av.currentWeapon.effect = None if av.currentWeapon.effect2: av.currentWeapon.effect2.stopLoop() av.currentWeapon.effect2 = None effect = WindWave.getEffect(unlimited) if effect: effect.reparentTo(av.getParent()) effect.setEffectColor(Vec4(1, 1, 1, 0.75)) effect.setPos(av, 0.0, 0.0, 0.0) effect.setScale(1.0, 1.0, 1.0) effect.setHpr(0.0, 0.0, 0.0) effect.play() effect = SoulHarvest2.getEffect(unlimited) if effect: effect.reparentTo(av.getParent()) effect.setPos(av, 0, 0, 2) effect.radius = av.cr.battleMgr.getModifiedAttackAreaRadius(av, skillId, ammoSkillId) effect.play() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium: effect = DesolationSmoke.getEffect(unlimited) if effect: effect.reparentTo(av.getParent()) effect.setEffectColor(Vec4(1, 1, 1, 1)) effect.setPos(av, 0.0, 0.0, 0.0) effect.play() effect = DomeExplosion.getEffect(unlimited) if effect: effect.reparentTo(av.getParent()) effect.setPos(av, 0, 0, 0) effect.size = av.cr.battleMgr.getModifiedAttackAreaRadius(av, skillId, ammoSkillId) effect.play() effect = DarkPortal.getEffect(unlimited) if effect: effect.reparentTo(av.getParent()) effect.setPos(av, 0, 0, 0) effect.size = av.cr.battleMgr.getModifiedAttackAreaRadius(av, skillId, ammoSkillId) * 3.0 effect.play() if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh: cameraShakerEffect = CameraShaker() cameraShakerEffect.wrtReparentTo(av.getParent()) cameraShakerEffect.setPos(av, 0.0, 0.0, 0.0) cameraShakerEffect.shakeSpeed = 0.075 cameraShakerEffect.shakePower = 1.0 cameraShakerEffect.numShakes = 30 cameraShakerEffect.scalePower = 1 cameraShakerEffect.play(100.0) return seq = Sequence(Func(av.considerEnableMovement), Func(self.lockInput, av), Func(av.attackTire), Func(startVFX), Func(self.stopChargeSound, av), Func(self.playCastSound, av, skillId), av.actorInterval('wand_cast_fire'), Func(self.unlockInput, av)) del startVFX return seq def getFizzleAnim(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return if av.currentWeapon.effect: av.currentWeapon.effect.stopLoop() av.currentWeapon.effect = None if av.currentWeapon.effect2: av.currentWeapon.effect2.stopLoop() av.currentWeapon.effect2 = None return Sequence(Func(av.considerEnableMovement), Func(base.cr.targetMgr.setWantAimAssist, 0), Func(self.lockInput, av), Func(self.stopChargeSound, av), av.actorInterval('wand_cast_fire'), Func(self.unlockInput, av)) def getCastFireAnim(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None def startVFX(): unlimited = av.isLocal() self.cleanWeaponEffects(av) motion_color = [ Vec4(1.0, 1.0, 1.0, 1.0), Vec4(0.5, 0.2, 1.0, 1.0)] targetPos, speed, impactT = av.getProjectileInfo(skillId, target) effect = VoodooProjectile.getEffect(unlimited) if effect: effect.reparentTo(render) effect.setPos(av, 0, 2, 2) effect.setH(av.getH(render)) effect.setEffectColor(av.currentWeapon.getEffectColor(av.currentWeapon.itemId)) effect.play(targetPos, speed, target) if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium: effect = VoodooGlow.getEffect() if effect and not av.currentWeapon.isEmpty(): effect.reparentTo(av.currentWeapon) effect.setPos(av.currentWeapon, 0.0, 2.0, 0.0) effect.setEffectColor(av.currentWeapon.getEffectColor(av.currentWeapon.itemId)) effect.play() seq = Sequence(Func(base.cr.targetMgr.setWantAimAssist, 0), Func(self.lockInput, av), Func(av.attackTire), Func(startVFX), Func(self.playCastSound, av, skillId), av.actorInterval('wand_cast_fire'), Func(self.unlockInput, av)) del startVFX return seq def getToggleAuraOnAnim(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None def startVFX(): if not hasattr(av.currentWeapon, 'getStartWardingAura'): return if skillId == EnemySkills.STAFF_TOGGLE_AURA_WARDING: av.currentWeapon.getStartWardingAura(av).start() elif skillId == EnemySkills.STAFF_TOGGLE_AURA_NATURE: av.currentWeapon.getStartNatureAura(av).start() elif skillId == EnemySkills.STAFF_TOGGLE_AURA_DARK: av.currentWeapon.getStartDarkAura(av).start() seq = Sequence(Func(base.cr.targetMgr.setWantAimAssist, 0), Func(self.lockInput, av), Func(startVFX), Func(self.startChargeSound, av, skillId), av.actorInterval('wand_cast_fire'), Func(self.unlockInput, av)) del startVFX return seq def getToggleAuraOffAnim(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None seq = Sequence(Func(base.cr.targetMgr.setWantAimAssist, 0), Func(self.stopChargeSound, av), Func(self.lockInput, av), Func(self.unlockInput, av)) return seq def cleanWeaponEffects(self, av): if av.currentWeapon: if av.currentWeapon.effect: av.currentWeapon.effect.stopLoop() av.currentWeapon.effect = None if av.currentWeapon.effect2: av.currentWeapon.effect2.stopLoop() av.currentWeapon.effect2 = None return def getDrink(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.consumable: return None def hideCurrentWeapon(): if av.currentWeapon: if not av.currentWeapon.isEmpty(): av.currentWeapon.hide() def showCurrentWeapon(): if av.currentWeapon: if not av.currentWeapon.isEmpty(): av.currentWeapon.show() return Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(self.lockDrink, av), Func(hideCurrentWeapon), Func(av.consumable.updateItemId, ammoSkillId), Func(av.consumable.attachTo, av), av.actorInterval('drink_potion', playRate=1.5, startFrame=8, endFrame=45, blendInT=0.2, blendOutT=0.2), Func(showCurrentWeapon), Func(av.consumable.detachFrom, av), Func(self.unlockInput, av), Wait(0.6), Func(self.unlockDrink, av)) def getChop(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.4), Func(av.currentWeapon.beginAttack, av), av.actorInterval('sword_cleave', playRate=1.0, startFrame=9, endFrame=45, blendInT=0.5, blendOutT=0.5), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av)) return ival def getDoubleSlash(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.4), Func(av.currentWeapon.beginAttack, av), av.actorInterval('sword_slash', playRate=1.5, blendInT=0.5, blendOutT=0.5), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av)) return ival def getLunge(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.4), Func(av.currentWeapon.beginAttack, av), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('sword_lunge', playRate=1.5, blendInT=0.5, blendOutT=0.5), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av)) return ival def getStab(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.4), Func(av.currentWeapon.beginAttack, av), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('sword_thrust', playRate=1.0, blendInT=0.5, blendOutT=0.5), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av)) return ival def getRollThrust(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None placeHolder = av.attachNewNode('rollThrustPlaceHolder') if target: placeHolder.lookAt(target) newH = av.getH() + placeHolder.getH() self.rollDistance = av.getDistance(target) else: newH = av.getH() self.rollDistance = WeaponGlobals.getAttackRange(skillId, ammoSkillId) self.rollDistance = max(0.0, self.rollDistance - 0.5) self.currAmount = 0 def setRollPosition(v): distance = self.rollDistance * v - self.currAmount self.currAmount += distance rotMat = Mat3.rotateMatNormaxis(av.getH(), Vec3.up()) contact = av.physControls.lifter.getContactNormal() forward = contact.cross(Vec3.right()) forward.normalize() vel = Vec3(forward * distance) vel = Vec3(rotMat.xform(vel)) av.setFluidPos(Point3(av.getPos() + vel)) if av.isLocal(): ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.4), Func(av.currentWeapon.beginAttack, av), Func(av.controlManager.currentControls.setCollisionsActive, 1), Parallel(av.actorInterval('sword_roll_thrust', playRate=1.5, startFrame=1, blendInT=0, blendOutT=0), LerpHprInterval(av, 0.05, Vec3(newH, av.getP(), av.getR())), Sequence(Wait(0.3), LerpFunctionInterval(setRollPosition, duration=0.6, fromData=0.0, toData=1.0, name='setRollPosition')), Sequence(Wait(0.6), Func(av.controlManager.currentControls.setCollisionsActive, 0), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av)))) else: ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.4), Func(av.currentWeapon.beginAttack, av), Parallel(av.actorInterval('sword_roll_thrust', playRate=1.5, startFrame=1, blendInT=0, blendOutT=0), Sequence(Wait(0.6), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av)))) placeHolder.removeNode() return ival def getComboA(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.4), Func(av.currentWeapon.beginAttack, av), av.actorInterval('sword_comboA', playRate=1.5, blendInT=0.5, blendOutT=0.5), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av)) return ival def getWildSlash(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.currentWeapon.endAttack, av), Func(av.currentWeapon.setTrailLength, 0.5), Func(av.currentWeapon.beginAttack, av), av.actorInterval('dagger_combo', playRate=1.0, startFrame=54, endFrame=87, blendInT=0.5, blendOutT=0.5)), Sequence(Wait(0.958), Func(self.unlockInput, av))) return ival def getFlurry(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.currentWeapon.endAttack, av), Func(av.currentWeapon.setTrailLength, 0.6), Func(av.currentWeapon.beginAttack, av), av.actorInterval('dagger_combo', playRate=1.0, startFrame=88, endFrame=142, blendInT=0.5, blendOutT=0.5)), Sequence(Wait(1.5), Func(self.unlockInput, av))) return ival def getRiposte(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.currentWeapon.endAttack, av), Func(av.currentWeapon.setTrailLength, 0.25), Func(av.currentWeapon.beginAttack, av), av.actorInterval('dagger_combo', playRate=1.0, startFrame=1, endFrame=28, blendInT=0.2, blendOutT=0.5)), Sequence(Wait(0.75), Func(self.unlockInput, av))) return ival def getCoup(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.4), Func(av.currentWeapon.beginAttack, av), av.actorInterval('dagger_coup', playRate=1.25, blendInT=0, blendOutT=0), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av)) return ival def getBackstab(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.4), Func(av.currentWeapon.beginAttack, av), av.actorInterval('dagger_backstab', playRate=1.5, blendInT=0, blendOutT=0), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av)) return ival def getDualCutlassCombination(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.4), Func(av.currentWeapon.beginAttack, av), av.actorInterval('dualcutlass_comboB', playRate=1.2, startFrame=0, endFrame=75, blendInT=0.5, blendOutT=0.25), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av)) return ival def getDualCutlassSpin(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.4), Func(av.currentWeapon.beginAttack, av), av.actorInterval('dualcutlass_comboB', playRate=1, startFrame=70, endFrame=101, blendInT=0.25, blendOutT=0.25), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av)) return ival def getDualCutlassBarrage(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.22), Func(av.currentWeapon.beginAttack, av), av.actorInterval('dualcutlass_comboB', playRate=0.575, startFrame=101, endFrame=131, blendInT=0.25, blendOutT=0.25), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av)) return ival def getDualCutlassXSlash(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.4), Func(av.currentWeapon.beginAttack, av), av.actorInterval('dualcutlass_comboA', playRate=1, startFrame=50, endFrame=100, blendInT=0.25, blendOutT=0.25), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av)) return ival def getDualCutlassGore(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.4), Func(av.currentWeapon.beginAttack, av), av.actorInterval('dualcutlass_comboA', playRate=1, startFrame=100, endFrame=120, blendInT=0.25, blendOutT=0.25), av.actorInterval('dualcutlass_comboB', playRate=1, startFrame=140, endFrame=200, blendInT=0.25, blendOutT=0.25), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av)) return ival def getFoilFleche(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.4), Func(av.currentWeapon.beginAttack, av), av.actorInterval('foil_thrust', playRate=1, blendInT=0.5, blendOutT=0.5), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av)) return ival def getFoilReprise(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.4), Func(av.currentWeapon.beginAttack, av), av.actorInterval('foil_hack', playRate=1, startFrame=45, endFrame=89, blendInT=0.5, blendOutT=0.5), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av)) return ival def getFoilSwipe(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.4), Func(av.currentWeapon.beginAttack, av), av.actorInterval('foil_coup', playRate=1, startFrame=75, endFrame=97, blendInT=0.5, blendOutT=0.5), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av)) return ival def getFoilImpale(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.4), Func(av.currentWeapon.beginAttack, av), av.actorInterval('foil_thrust', playRate=1, blendInT=0.5, blendOutT=0.5), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av)) return ival def getFoilRemise(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.4), Func(av.currentWeapon.beginAttack, av), av.actorInterval('foil_slash', playRate=1, startFrame=10, endFrame=82, blendInT=0.5, blendOutT=0.5), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av)) return ival def getFoilBalestraKick(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.4), Func(av.currentWeapon.beginAttack, av), av.actorInterval('foil_kick', playRate=1, blendInT=0.5, blendOutT=0.5), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av)) return ival def getFoilCadence(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.4), Func(av.currentWeapon.beginAttack, av), av.actorInterval('foil_coup', playRate=1, startFrame=75, endFrame=172, blendInT=0.5, blendOutT=0.5), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av)) return ival def getKrazyPunch(self, av, skillId, ammoSkillId, charge, target, skillResult): return Sequence(Func(self.lockInput, av), av.actorInterval('boxing_kick', playRate=2), av.actorInterval('boxing_punch', playRate=2), av.actorInterval('boxing_kick', playRate=2), Func(self.unlockInput, av)) def getBoxingPunch(self, av, skillId, ammoSkillId, charge, target, skillResult): return Sequence(Func(self.lockInput, av), av.actorInterval('boxing_punch', playRate=1.0, blendInT=0.1, blendOutT=0.2), Func(self.unlockInput, av)) def getKick(self, av, skillId, ammoSkillId, charge, target, skillResult): return Sequence(Func(self.lockInput, av), av.actorInterval('boxing_kick', playRate=1.0), Func(self.unlockInput, av)) def getBayonetFireAnim(self, av, skillId, ammoSkillId, charge, target, skillResult): def startVFX(): unlimited = av.isLocal() pistolFlame = MusketShot.getEffect(unlimited) if pistolFlame: pistolFlame.reparentTo(av.currentWeapon) pistolFlame.setPos(2.8, 0.1, 0) pistolFlame.setHpr(0, 0, 90) pistolFlame.setScale(1) pistolFlame.play() anim = ItemGlobals.getFireAnim(ItemGlobals.getSubtype(av.currentWeaponId)) ival = Sequence(Func(base.cr.targetMgr.setWantAimAssist, 0), Func(self.lockInput, av), Func(startVFX), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval(anim, startFrame=9, endFrame=14, blendInT=0.0, blendOutT=0), Func(self.unlockInput, av), av.actorInterval(anim, startFrame=15, blendInT=0, blendOutT=0.3)) return ival def getBayonetReloadAnim(self, av, skillId, ammoSkillId, charge, target): if not av.currentWeapon: return None reloadSfx = av.currentWeapon.reloadSfxs reloadFx = random.choice(reloadSfx) gunCockSfx = av.currentWeapon.gunCockSfxs gunCockFx = random.choice(gunCockSfx) track = Sequence(Func(self.lockInput, av), av.actorInterval('gun_reload', endFrame=6, blendInT=0, blendOutT=0), Func(base.playSfx, gunCockFx, node=av), av.actorInterval('gun_reload', startFrame=7, endFrame=18, blendInT=0, blendOutT=0), Func(base.playSfx, reloadFx, node=av), av.actorInterval('gun_reload', startFrame=19, blendInT=0, blendOutT=0.3), Func(self.unlockInput, av)) return track def getBayonetStab(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None ival = Sequence(Func(self.lockInput, av), Func(av.currentWeapon.setTrailLength, 0.25), Func(av.currentWeapon.beginAttack, av), av.actorInterval('bayonet_attackA', playRate=1.0, blendInT=0.5, blendOutT=0.5), Func(av.currentWeapon.endAttack, av), Func(self.unlockInput, av)) return ival def getBayonetBash(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None ival = Sequence(Func(self.lockInput, av), Func(av.currentWeapon.setTrailLength, 0.25), Func(av.currentWeapon.beginAttack, av), av.actorInterval('bayonet_attackB', playRate=1.0, blendInT=0.5, blendOutT=0.5), Func(av.currentWeapon.endAttack, av), Func(self.unlockInput, av)) return ival def getBayonetRush(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None ival = Sequence(Func(self.lockInput, av), Func(av.currentWeapon.setTrailLength, 0.25), Func(av.currentWeapon.beginAttack, av), av.actorInterval('bayonet_attackC', playRate=1.0, blendInT=0.5, blendOutT=0.5), Func(av.currentWeapon.endAttack, av), Func(self.unlockInput, av)) return ival def getPlayerBayonetStab(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.currentWeapon.setTrailLength, 0.25), Func(av.currentWeapon.beginAttack, av), av.actorInterval('bayonet_attackA', playRate=1.0, startFrame=6, endFrame=35, blendInT=0, blendOutT=0.5), Func(av.currentWeapon.endAttack, av), Func(self.unlockInput, av)), Sequence(Wait(0.75), Func(self.unlockInput, av))) return ival def getPlayerBayonetRush(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None ival = Sequence(Func(self.lockInput, av), Func(av.currentWeapon.setTrailLength, 0.25), Func(av.currentWeapon.beginAttack, av), av.actorInterval('bayonet_attackC', playRate=1.0, blendInT=0.5, blendOutT=0.5), Func(av.currentWeapon.endAttack, av), Func(self.unlockInput, av)) return ival def getCrabAttackLeft(self, av, skillId, ammoSkillId, charge, target, skillResult): return av.actorInterval('attack_left', playRate=1.0) def getCrabAttackRight(self, av, skillId, ammoSkillId, charge, target, skillResult): return av.actorInterval('attack_right', playRate=1.0) def getCrabAttackBoth(self, av, skillId, ammoSkillId, charge, target, skillResult): return av.actorInterval('attack_both', playRate=1.0) def getStumpKick(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None ival = Sequence(Func(av.currentWeapon.setTrailLength, 0.0), av.actorInterval('kick', playRate=1.0)) return ival def getStumpKickRight(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None ival = Sequence(Func(av.currentWeapon.setTrailLength, 0.0), av.actorInterval('kick_right', playRate=1.0)) return ival def getStumpSlapLeft(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None ival = Sequence(Func(av.currentWeapon.setTrailLength, 0.5), av.actorInterval('slap_left', playRate=1.0)) return ival def getStumpSlapRight(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None ival = Sequence(Func(av.currentWeapon.setTrailLength, 0.5), av.actorInterval('slap_right', playRate=1.0)) return ival def getStumpSwatLeft(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None ival = Sequence(Func(av.currentWeapon.setTrailLength, 0.5), av.actorInterval('swat_left', playRate=1.0)) return ival def getStumpSwatRight(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None ival = Sequence(Func(av.currentWeapon.setTrailLength, 0.5), av.actorInterval('swat_right', playRate=1.0)) return ival def getStumpStomp(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None def startVFX(): shockwaveRingEffect = ShockwaveRing.getEffect() if shockwaveRingEffect: shockwaveRingEffect.reparentTo(av) shockwaveRingEffect.size = 40 shockwaveRingEffect.setPos(0, 0, 3) shockwaveRingEffect.play() shockwaveRingEffect = ShockwaveRing.getEffect() if shockwaveRingEffect: shockwaveRingEffect.reparentTo(av) shockwaveRingEffect.size = 80 shockwaveRingEffect.setPos(0, 0, 3) shockwaveRingEffect.play() shockwaveRingEffect = ShockwaveRing.getEffect() if shockwaveRingEffect: shockwaveRingEffect.reparentTo(av) shockwaveRingEffect.size = 120 shockwaveRingEffect.setPos(0, 0, 3) shockwaveRingEffect.play() dustRingEffect = DustRing.getEffect() if dustRingEffect: dustRingEffect.reparentTo(av) dustRingEffect.setPos(0, 0, 0) dustRingEffect.play() cameraShakerEffect = CameraShaker() cameraShakerEffect.reparentTo(av) cameraShakerEffect.setPos(0, 0, 0) cameraShakerEffect.shakeSpeed = 0.06 cameraShakerEffect.shakePower = 4.0 cameraShakerEffect.numShakes = 2 cameraShakerEffect.scalePower = 1 cameraShakerEffect.play(50.0) ival = Parallel(Sequence(Wait(1.33), Func(startVFX)), Sequence(Func(av.currentWeapon.beginAttack, av), av.actorInterval('jump_attack', playRate=1.0), Func(av.currentWeapon.endAttack, av))) return ival def getFlyTrapAttackA(self, av, skillId, ammoSkillId, charge, target, skillResult): return av.actorInterval('attack_a', playRate=1.0) def getFlyTrapAttackJab(self, av, skillId, ammoSkillId, charge, target, skillResult): return av.actorInterval('attack_jab', playRate=1.0) def getFlyTrapLeftFake(self, av, skillId, ammoSkillId, charge, target, skillResult): return av.actorInterval('attack_left_fake', playRate=1.0) def getFlyTrapRightFake(self, av, skillId, ammoSkillId, charge, target, skillResult): return av.actorInterval('attack_right_fake', playRate=1.0) def getFlyTrapSpit(self, av, skillId, ammoSkillId, charge, target, skillResult): def startVFX(): motion_color = [ Vec4(1.0, 0.0, 0.5, 1.0), Vec4(1.0, 0.0, 0.0, 1.0)] targetPos, speed, impactT = av.getProjectileInfo(skillId, target) effect = VenomSpitProjectile.getEffect() if effect: effect.reparentTo(render) effect.setPos(av, 0, 0, av.height * 0.7) effect.setH(av.getH(render)) effect.play(targetPos, speed, target) ival = Sequence(av.actorInterval('shoot', endFrame=23), Func(startVFX), av.actorInterval('shoot', startFrame=24)) return ival def getTentacleSlap(self, av, skillId, ammoSkillId, charge, target, skillResult): anim = Parallel(Func(av.alignWithVictim, 0.4), Sequence(ActorInterval(av, 'pound_deck', playRate=2.0), Func(av.loop, 'idle', playRate=random.uniform(1.0, 1.2))), Sequence(Wait(0.6), Func(self.playShockwave, av))) return anim def getTentaclePound(self, av, skillId, ammoSkillId, charge, target, skillResult): anim = Parallel(Func(av.alignWithVictim, 0.4), Sequence(ActorInterval(av, 'pound_deck', playRate=2.0), Func(av.loop, 'idle', blendT=0, playRate=random.uniform(1.0, 1.2)))) return anim def getTentacleEnsnare(self, av, skillId, ammoSkillId, charge, target, skillResult): anim = Sequence(Parallel(ActorInterval(av, 'grab', playRate=1.0), Func(av.alignWithVictim, 0.66), Sequence(Wait(0.66), Func(av.setupEnsnare), Wait(1.29), Func(av.pickupTarget))), Func(av.loop, 'grab_idle', playRate=random.uniform(1.0, 1.2))) return anim def getTentaclePiledriver(self, av, skillId, ammoSkillId, charge, target, skillResult): anim = Sequence(Parallel(ActorInterval(av, 'grab_slam', playRate=1.0), Sequence(Wait(2.93), Func(av.piledriveTarget))), Func(av.loop, 'idle', playRate=random.uniform(1.0, 1.2))) return anim def getTentacleRelease(self, av, skillId, ammoSkillId, charge, target, skillResult): anim = Sequence(Parallel(ActorInterval(av, 'grab_slam', playRate=1.0), Sequence(Wait(2.93), Func(av.piledriveTarget))), Func(av.loop, 'idle', playRate=random.uniform(1.0, 1.2))) return anim def getTentacleConstrict(self, av, skillId, ammoSkillId, charge, target, skillResult): anim = Sequence(ActorInterval(av, 'grab_constrict', playRate=1.0), Func(av.loop, 'grab_idle', playRate=random.uniform(1.0, 1.2))) return anim def getKrakenVomit(self, av, skillId, ammoSkillId, charge, target, skillResult): anim = Sequence(ActorInterval(av, 'shoot', playRate=1.0), Func(av.loop, 'idle', playRate=random.uniform(1.0, 1.2))) return anim def getScorpionAttackLeft(self, av, skillId, ammoSkillId, charge, target, skillResult): return av.actorInterval('attack_left', playRate=1.0) def getScorpionAttackRight(self, av, skillId, ammoSkillId, charge, target, skillResult): return av.actorInterval('attack_right', playRate=1.0) def getScorpionAttackBoth(self, av, skillId, ammoSkillId, charge, target, skillResult): return av.actorInterval('attack_both', playRate=1.0) def getScorpionAttackTailSting(self, av, skillId, ammoSkillId, charge, target, skillResult): return av.actorInterval('attack_tail_sting', playRate=1.0) def getScorpionPickUpHuman(self, av, skillId, ammoSkillId, charge, target, skillResult): return av.actorInterval('pick_up_human', playRate=1.0) def getScorpionRearUp(self, av, skillId, ammoSkillId, charge, target, skillResult): return av.actorInterval('rear_up', playRate=1.0) def getAlligatorAttackLeft(self, av, skillId, ammoSkillId, charge, target, skillResult): return av.actorInterval('attack_left', playRate=1.0) def getAlligatorAttackRight(self, av, skillId, ammoSkillId, charge, target, skillResult): return av.actorInterval('attack_right', playRate=1.0) def getAlligatorAttackStraight(self, av, skillId, ammoSkillId, charge, target, skillResult): return av.actorInterval('attack_straight', playRate=1.0) def getAlligatorAttackTailLeft(self, av, skillId, ammoSkillId, charge, target, skillResult): return av.actorInterval('attack_tail_left', playRate=1.0) def getAlligatorAttackTailRight(self, av, skillId, ammoSkillId, charge, target, skillResult): return av.actorInterval('attack_tail_right', playRate=1.0) def getBatAttackLeft(self, av, skillId, ammoSkillId, charge, target, skillResult): return av.actorInterval('attack_forward', playRate=1.0) def getBatAttackRight(self, av, skillId, ammoSkillId, charge, target, skillResult): return av.actorInterval('attack_right', playRate=1.0) def getBatShriek(self, av, skillId, ammoSkillId, charge, target, skillResult): def playFX(): shockwaveRingEffect = ShockwaveRing.getEffect() if shockwaveRingEffect: shockwaveRingEffect.reparentTo(av) shockwaveRingEffect.size = 40 shockwaveRingEffect.setPos(0, 0, 0) shockwaveRingEffect.play() ival = Sequence(Func(playFX), av.actorInterval('attack_forward', playRate=2.0)) return ival def getBatFlurry(self, av, skillId, ammoSkillId, charge, target, skillResult): ival = Sequence(av.actorInterval('attack_right', playRate=2.0), av.actorInterval('attack_forward', playRate=2.0), av.actorInterval('attack_right', playRate=2.0), av.actorInterval('attack_forward', playRate=2.0)) return ival def getWaspAttack(self, av, skillId, ammoSkillId, charge, target, skillResult): return av.actorInterval('sting', playRate=1.0) def getWaspAttackLeap(self, av, skillId, ammoSkillId, charge, target, skillResult): return av.actorInterval('leap_sting', playRate=1.0) def getWaspAttackSting(self, av, skillId, ammoSkillId, charge, target, skillResult): return av.actorInterval('sting', playRate=1.0) def playShockwave(self, av): pos = av.getPos(render) smokeCloudEffect = SmokeCloud.getEffect() if smokeCloudEffect: smokeCloudEffect.reparentTo(render) smokeCloudEffect.setPos(pos) smokeCloudEffect.setScale(1.0) smokeCloudEffect.spriteScale = 1.0 smokeCloudEffect.radius = 7.0 smokeCloudEffect.play() shockwaveRingEffect = ShockwaveRing.getEffect() if shockwaveRingEffect: shockwaveRingEffect.reparentTo(render) shockwaveRingEffect.size = 40 shockwaveRingEffect.setPos(pos) shockwaveRingEffect.play() cameraShakerEffect = CameraShaker() cameraShakerEffect.reparentTo(render) cameraShakerEffect.setPos(pos) cameraShakerEffect.shakeSpeed = 0.04 cameraShakerEffect.shakePower = 6.0 cameraShakerEffect.numShakes = 2 cameraShakerEffect.scalePower = 1 cameraShakerEffect.play(80.0) def getCastDarkThunderAnim(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None seq = Sequence(Func(av.considerEnableMovement), Func(self.lockInput, av), Func(self.playCastSound, av, skillId), av.actorInterval('shoot_up', playRate=1.5, startFrame=6), Func(self.unlockInput, av)) return seq def getGraveBlindAnim(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None def startVFX(): effect = JRGraveSmoke.getEffect(unlimited=True) if effect: effect.reparentTo(av.getParent()) effect.setEffectColor(Vec4(0.4, 0.6, 0.1, 1)) effect.radius = av.cr.battleMgr.getModifiedAttackAreaRadius(av, skillId, ammoSkillId) effect.setPos(av, 0.0, 0.0, 0.0) effect.play() seq = Sequence(Func(av.considerEnableMovement), Func(self.lockInput, av), Func(self.playCastSound, av, skillId), Func(startVFX), av.actorInterval('roar_idle', playRate=1.75, startFrame=16), Func(self.unlockInput, av)) del startVFX return seq def getCorruptionAnim(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None def startVFX(): effect = JRSoulHarvest.getEffect(unlimited=True) if effect: effect.reparentTo(av.getParent()) effect.setPos(av, 0, 5, 0) effect.radius = av.cr.battleMgr.getModifiedAttackAreaRadius(av, skillId, ammoSkillId) effect.setEffectColor(Vec4(0.8, 1.0, 0.2, 1.0)) effect.play() effect = DomeExplosion.getEffect(unlimited=True) if effect: effect.reparentTo(av.getParent()) effect.setPos(av, 0, 5, 0) effect.size = av.cr.battleMgr.getModifiedAttackAreaRadius(av, skillId, ammoSkillId) * 2.0 effect.play() effect = DarkPortal.getEffect(unlimited=True) if effect: effect.reparentTo(av.getParent()) effect.setPos(av, 0, 5, 0) effect.size = av.cr.battleMgr.getModifiedAttackAreaRadius(av, skillId, ammoSkillId) * 4.0 effect.play() effect = EvilRingEffect.getEffect(unlimited=True) if effect: effect.reparentTo(av.getParent()) effect.setPos(av, 0, 5, 0) effect.effectScale = av.cr.battleMgr.getModifiedAttackAreaRadius(av, skillId, ammoSkillId) effect.changeEffectColor(Vec4(0.8, 1.0, 0.1, 1.0)) effect.duration = 2.5 effect.play() seq = Sequence(Func(av.considerEnableMovement), Func(self.lockInput, av), Func(self.playCastSound, av, skillId), Func(startVFX), av.actorInterval('roar_idle', playRate=1.75, startFrame=16), Func(self.unlockInput, av)) del startVFX return seq def getSoulHarvestAnim(self, av, skillId, ammoSkillId, charge, target, skillResult): if not av.currentWeapon: return None def startVFX(): effect = WindWave.getEffect(unlimited=True) if effect: effect.reparentTo(av.getParent()) effect.setEffectColor(Vec4(0.8, 1, 0.2, 0.7)) effect.setPos(av, 0.0, 0.0, 0.0) effect.setScale(1.0, 1.0, 1.0) effect.setHpr(0.0, 0.0, 0.0) effect.play() effect = JRSoulHarvest2.getEffect(unlimited=True) if effect: effect.reparentTo(av.getParent()) effect.setPos(av, 0, 0, 2) effect.radius = av.cr.battleMgr.getModifiedAttackAreaRadius(av, skillId, ammoSkillId) effect.play() effect = DesolationSmoke.getEffect(unlimited=True) if effect: effect.reparentTo(av.getParent()) effect.setEffectColor(Vec4(0.8, 1, 0.2, 1)) effect.setPos(av, 0.0, 0.0, 0.0) effect.play() effect = DomeExplosion.getEffect(unlimited=True) if effect: effect.reparentTo(av.getParent()) effect.setPos(av, 0, 0, 0) effect.size = av.cr.battleMgr.getModifiedAttackAreaRadius(av, skillId, ammoSkillId) effect.play() effect = DarkPortal.getEffect(unlimited=True) if effect: effect.reparentTo(av.getParent()) effect.setPos(av, 0, 0, 0) effect.size = av.cr.battleMgr.getModifiedAttackAreaRadius(av, skillId, ammoSkillId) * 3.0 effect.play() cameraShakerEffect = CameraShaker() cameraShakerEffect.wrtReparentTo(av.getParent()) cameraShakerEffect.setPos(av, 0.0, 0.0, 0.0) cameraShakerEffect.shakeSpeed = 0.075 cameraShakerEffect.shakePower = 1.0 cameraShakerEffect.numShakes = 30 cameraShakerEffect.scalePower = 1 cameraShakerEffect.play(100.0) seq = Sequence(Func(av.considerEnableMovement), Func(self.lockInput, av), Func(self.playCastSound, av, skillId), Func(startVFX), av.actorInterval('roar_idle', playRate=1.75, startFrame=16), Func(self.unlockInput, av)) del startVFX return seq def getBroadsideLeft(self, av, skillId, ammoSkillId, charge=0, target=None, skillResult=None): ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.setChatAbsolute, PLocalizer.getLeftBroadsidePhrase(), CFSpeech | CFTimeout), Func(base.talkAssistant.receiveOpenTalk, av.doId, av.getName(), None, None, PLocalizer.getLeftBroadsidePhrase())), Sequence(Wait(1.0), Func(self.unlockInput, av))) return ival def getBroadsideRight(self, av, skillId, ammoSkillId, charge=0, target=None, skillResult=None): ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.setChatAbsolute, PLocalizer.getRightBroadsidePhrase(), CFSpeech | CFTimeout), Func(base.talkAssistant.receiveOpenTalk, av.doId, av.getName(), None, None, PLocalizer.getRightBroadsidePhrase())), Sequence(Wait(1.0), Func(self.unlockInput, av))) return ival def getFullSail(self, av, skillId, ammoSkillId, charge=0, target=None, skillResult=None): def playSfx(): if not av.ship: return sfx = av.ship.fullsailSfx base.playSfx(sfx, node=av.ship, cutoff=1500) ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.setChatAbsolute, PLocalizer.getFullSailPhrase(), CFSpeech | CFTimeout), Func(base.talkAssistant.receiveOpenTalk, av.doId, av.getName(), None, None, PLocalizer.getFullSailPhrase())), Func(playSfx), Sequence(Wait(1.0), Func(self.unlockInput, av))) del playSfx return ival def getComeAbout(self, av, skillId, ammoSkillId, charge=0, target=None, skillResult=None): ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.setChatAbsolute, PLocalizer.getComeAboutPhrase(), CFSpeech | CFTimeout), Func(base.talkAssistant.receiveOpenTalk, av.doId, av.getName(), None, None, PLocalizer.getComeAboutPhrase())), Sequence(Wait(1.0), Func(self.unlockInput, av))) return ival def getRammingSpeed(self, av, skillId, ammoSkillId, charge=0, target=None, skillResult=None): def playSfx(): if not av.ship: return sfx = av.ship.fullsailSfx base.playSfx(sfx, node=av.ship, cutoff=1500) ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.setChatAbsolute, PLocalizer.RammingSpeed, CFSpeech | CFTimeout), Func(base.talkAssistant.receiveOpenTalk, av.doId, av.getName(), None, None, PLocalizer.RammingSpeed)), Func(playSfx), Sequence(Wait(1.0), Func(self.unlockInput, av))) del playSfx return ival def getOpenFire(self, av, skillId, ammoSkillId, charge, target, skillResult): ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.setChatAbsolute, PLocalizer.getOpenFirePhrase(), CFSpeech | CFTimeout), Func(base.talkAssistant.receiveOpenTalk, av.doId, av.getName(), None, None, PLocalizer.getOpenFirePhrase())), Sequence(Wait(1.0), Func(self.unlockInput, av))) return ival def getTakeCover(self, av, skillId, ammoSkillId, charge, target, skillResult): ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.setChatAbsolute, PLocalizer.getTakeCoverPhrase(), CFSpeech | CFTimeout), Func(base.talkAssistant.receiveOpenTalk, av.doId, av.getName(), None, None, PLocalizer.getTakeCoverPhrase())), Sequence(Wait(1.0), Func(self.unlockInput, av))) return ival def getPowerRecharge(self, av, skillId, ammoSkillId, charge=0, target=None, skillResult=None): ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.setChatAbsolute, PLocalizer.getPowerRechargePhrase(), CFSpeech | CFTimeout), Func(base.talkAssistant.receiveOpenTalk, av.doId, av.getName(), None, None, PLocalizer.getPowerRechargePhrase())), Sequence(Wait(1.0), Func(self.unlockInput, av))) return ival def getWreckHull(self, av, skillId, ammoSkillId, charge, target, skillResult): ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.setChatAbsolute, PLocalizer.getWreckHullPhrase(), CFSpeech | CFTimeout), Func(base.talkAssistant.receiveOpenTalk, av.doId, av.getName(), None, None, PLocalizer.getWreckHullPhrase())), Sequence(Wait(1.0), Func(self.unlockInput, av))) return ival def getWreckMasts(self, av, skillId, ammoSkillId, charge, target, skillResult): ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.setChatAbsolute, PLocalizer.getWreckMastsPhrase(), CFSpeech | CFTimeout), Func(base.talkAssistant.receiveOpenTalk, av.doId, av.getName(), None, None, PLocalizer.getWreckMastsPhrase())), Sequence(Wait(1.0), Func(self.unlockInput, av))) return ival def getSinkHer(self, av, skillId, ammoSkillId, charge, target, skillResult): ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.setChatAbsolute, PLocalizer.getSinkHerPhrase(), CFSpeech | CFTimeout), Func(base.talkAssistant.receiveOpenTalk, av.doId, av.getName(), None, None, PLocalizer.getSinkHerPhrase())), Sequence(Wait(1.0), Func(self.unlockInput, av))) return ival def getIncoming(self, av, skillId, ammoSkillId, charge, target, skillResult): ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.setChatAbsolute, PLocalizer.getIncomingPhrase(), CFSpeech | CFTimeout), Func(base.talkAssistant.receiveOpenTalk, av.doId, av.getName(), None, None, PLocalizer.getIncomingPhrase())), Sequence(Wait(1.0), Func(self.unlockInput, av))) return ival def getFixItNow(self, av, skillId, ammoSkillId, charge, target, skillResult): ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.setChatAbsolute, PLocalizer.getFixItNowPhrase(), CFSpeech | CFTimeout), Func(base.talkAssistant.receiveOpenTalk, av.doId, av.getName(), None, None, PLocalizer.getFixItNowPhrase())), Sequence(Wait(1.0), Func(self.unlockInput, av))) return ival def getShipRepair(self, av, skillId, ammoSkillId, charge=0, target=None, skillResult=None): return self.getComeAbout(av, skillId, ammoSkillId, charge) def getSummonHelp(self, av, skillId, ammoSkillId, charge, target, skillResult): ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(self.playCastingAnim, av), av.actorInterval('voodoo_swarm', playRate=1.0, blendInT=0.3, blendOutT=0.3), Func(av.considerEnableMovement), Func(self.unlockInput, av)) return ival def lockInput(self, av): if av.isLocal(): messenger.send('skillStarted') def unlockInput(self, av): if av.isLocal(): messenger.send('skillFinished') def lockDrink(self, av): if av.isLocal(): messenger.send('drinkingStarted') def unlockDrink(self, av): if av.isLocal(): messenger.send('drinkingFinished')

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null

0

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7

865af1e9a91e299bf06828cb0c8640a13c10f3b7

241

py

Python

python/anyascii/_data/_114.py

casept/anyascii

d4f426b91751254b68eaa84c6cd23099edd668e6

[ "ISC" ]

null

python/anyascii/_data/_114.py

casept/anyascii

d4f426b91751254b68eaa84c6cd23099edd668e6

[ "ISC" ]

null

python/anyascii/_data/_114.py

casept/anyascii

d4f426b91751254b68eaa84c6cd23099edd668e6

[ "ISC" ]

null

b=' 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9'

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865fb7ba03df4e01a46af13483c0a6d69fee5146

7,580

py

Python

clcd/text_generation/comparative.py

felipessalvatore/CLCD

422f9e93d49e4fcfd8048ad5b36898f8713d0370

[ "MIT" ]

4

2020-02-06T19:35:13.000Z

2021-09-04T10:29:11.000Z

clcd/text_generation/comparative.py

felipessalvatore/CLCD

422f9e93d49e4fcfd8048ad5b36898f8713d0370

[ "MIT" ]

null

clcd/text_generation/comparative.py

felipessalvatore/CLCD

422f9e93d49e4fcfd8048ad5b36898f8713d0370

[ "MIT" ]

null

import numpy as np from util import get_n_different_items, get_new_item from util import Rt, Rt_eq, list2coordination, create_csv from util import Rt_pt, Rt_eq_pt from vocab import male_names, female_names, cities_and_states, countries from vocab_pt import male_names_pt, female_names_pt, cities_pt, countries_pt def contradiction_instance_1(person_list, place_list, n, Rt_function=Rt, Rt_eq_function=Rt_eq, and_str="and"): """ T = {x1 > x2, x2 > x3, ... , xn-1 > xn} new = xj > xi (i<j) ----------- 1 """ people = get_n_different_items(person_list, n + 1) chain = [] for i in range(n): chain.append(Rt_function(people[i], people[i + 1])) sentence1 = " , ".join(chain) id_base = np.random.choice(range(n)) id_bigger = np.random.choice(range(id_base + 1, n + 1)) sentence2 = Rt_function(people[id_bigger], people[id_base]) return sentence1, sentence2, 1 def contradiction_instance_2(person_list, place_list, n, Rt_function=Rt, Rt_eq_function=Rt_eq, and_str="and"): """ T = {x1 >= x2, x2 >= x3, ... , xn-1 >= xn xn > y} new = y > xi ----------- 1 """ people = get_n_different_items(person_list, n + 1) new_person = get_new_item(people, person_list) chain = [] for i in range(n): chain.append(Rt_eq_function(people[i], people[i + 1])) sentence1 = " , ".join(chain) sentence1 += " , " + Rt_function(people[-1], new_person) id_base = np.random.choice(range(n + 1)) sentence2 = Rt_function(new_person, people[id_base]) return sentence1, sentence2, 1 def contradiction_instance_3(person_list, place_list, n, Rt_function=Rt, Rt_eq_function=Rt_eq, and_str="and"): """ T = {x > [x1, ....., xn], y >= x} new = xi > y ----------- 1 """ people = get_n_different_items(person_list, n + 1) new_person = get_new_item(people, person_list) chain = [] for i in range(n): chain.append(Rt_function(people[i], people[i + 1])) sentence1 = Rt_function(people[0], list2coordination(people[1:], and_str)) eq = [Rt_eq_function(people[0], new_person), Rt_eq_function(new_person, people[0])] # noqa eq = np.random.choice(eq) sentence1 += " , " + eq selected = np.random.choice(people[1:]) sentence2 = Rt_function(selected, new_person) return sentence1, sentence2, 1 def non_contradiction_instance_1(person_list, place_list, n, Rt_function=Rt, Rt_eq_function=Rt_eq, and_str="and"): """ T = {x1 > x2, x2 > x3, ... , xn-1 > xn} new = xi > xj (i<j) ----------- 0 """ people = get_n_different_items(person_list, n + 1) chain = [] for i in range(n): chain.append(Rt_function(people[i], people[i + 1])) sentence1 = " , ".join(chain) id_base = np.random.choice(range(n)) id_bigger = np.random.choice(range(id_base + 1, n + 1)) sentence2 = Rt_function(people[id_base], people[id_bigger]) return sentence1, sentence2, 0 def non_contradiction_instance_2(person_list, place_list, n, Rt_function=Rt, Rt_eq_function=Rt_eq, and_str="and"): """ T = {x1 >= x2, x2 >= x3, ... , xn-1 >= xn, xn > y} new = xi > y ----------- 0 """ people = get_n_different_items(person_list, n + 1) new_person = get_new_item(people, person_list) chain = [] for i in range(n): chain.append(Rt_eq_function(people[i], people[i + 1])) sentence1 = " , ".join(chain) sentence1 += " , " + Rt_function(people[-1], new_person) id_base = np.random.choice(range(n + 1)) sentence2 = Rt_function(people[id_base], new_person) return sentence1, sentence2, 0 def non_contradiction_instance_3(person_list, place_list, n, Rt_function=Rt, Rt_eq_function=Rt_eq, and_str="and"): """ T = {x > [x1, ....., xn], y >= x} new = y > xi ----------- 0 """ people = get_n_different_items(person_list, n + 1) new_person = get_new_item(people, person_list) chain = [] for i in range(n): chain.append(Rt_function(people[i], people[i + 1])) sentence1 = Rt_function(people[0], list2coordination(people[1:], and_str)) eq = [Rt_eq_function(people[0], new_person), Rt_eq_function(new_person, people[0])] # noqa eq = np.random.choice(eq) sentence1 += " , " + eq selected = np.random.choice(people[1:]) sentence2 = Rt_function(new_person, selected) return sentence1, sentence2, 0 def eng2pt(f): return lambda x, y, z: f(x, y, z, Rt_function=Rt_pt, Rt_eq_function=Rt_eq_pt, and_str="e") # noqa positive_instances_list_en = [contradiction_instance_1, contradiction_instance_2, contradiction_instance_3] negative_instances_list_en = [non_contradiction_instance_1, non_contradiction_instance_2, non_contradiction_instance_3] positive_instances_list_pt = [eng2pt(f) for f in positive_instances_list_en] negative_instances_list_pt = [eng2pt(f) for f in negative_instances_list_en] if __name__ == '__main__': # call this script in the main folder, i.e., type # python clcd/text_generation/comparative.py # english create_csv(out_path="text_gen_output/comparative_train.csv", # noqa size=10000, person_list=male_names, place_list=countries, min_n=4, n=10, positive_instances_list=positive_instances_list_en, negative_instances_list=negative_instances_list_en) # noqa create_csv(out_path="text_gen_output/comparative_test.csv", # noqa size=1000, person_list=female_names, place_list=cities_and_states, min_n=4, n=10, positive_instances_list=positive_instances_list_en, negative_instances_list=negative_instances_list_en) # noqa # portuguese create_csv(out_path="text_gen_output/comparative_pt_train.csv", # noqa size=10000, person_list=male_names_pt, place_list=countries_pt, min_n=4, n=10, positive_instances_list=positive_instances_list_pt, negative_instances_list=negative_instances_list_pt) # noqa create_csv(out_path="text_gen_output/comparative_pt_test.csv", # noqa size=1000, person_list=female_names_pt, place_list=cities_pt, min_n=4, n=10, positive_instances_list=positive_instances_list_pt, negative_instances_list=negative_instances_list_pt) # noqa

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1

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null

0

7

866f680e1c6f23887b9fc0598ee8ae9b6e0aa307

340

py

Python

StructuralAnalysis/FrameElements/__init__.py

Hazem-Kassab/StructuralAnalysis

d7e99a42c94fed787a2bc4931d33cd1ed65f8707

[ "MIT" ]

6

2021-02-08T13:00:40.000Z

2022-02-18T07:11:14.000Z

StructuralAnalysis/FrameElements/__init__.py

Hazem-Kassab/StructuralAnalysis

d7e99a42c94fed787a2bc4931d33cd1ed65f8707

[ "MIT" ]

null

StructuralAnalysis/FrameElements/__init__.py

Hazem-Kassab/StructuralAnalysis

d7e99a42c94fed787a2bc4931d33cd1ed65f8707

[ "MIT" ]

1

2022-03-12T03:14:39.000Z

from StructuralAnalysis.FrameElements.TwoDimensionalTrussElement import TwoDimensionalTrussElement from StructuralAnalysis.FrameElements.TwoDimensionalFrameElement import TwoDimensionalFrameElement from StructuralAnalysis.FrameElements.TrussElement import TrussElement from StructuralAnalysis.FrameElements.FrameElement import FrameElement

68

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0.333333

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340

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null

0

1

0

1

0

1

0

8

868e48df41596e5cc38441a5c86ddf9d21d7d1d3

101

py

Python

youtrackutils/redmine/__init__.py

ekho/youtrack-python-scripts

1282dacfa0b5a7c47514a55031bb98c72340409a

[ "Apache-2.0" ]

null

youtrackutils/redmine/__init__.py

ekho/youtrack-python-scripts

1282dacfa0b5a7c47514a55031bb98c72340409a

[ "Apache-2.0" ]

null

youtrackutils/redmine/__init__.py

ekho/youtrack-python-scripts

1282dacfa0b5a7c47514a55031bb98c72340409a

[ "Apache-2.0" ]

null

from .client import RedmineClient from .client import RedmineException from .mapping import Mapping

20.2

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0

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7

86907f1f970c84c2e27e63c39e6564152d8f8aa1

13,810

py

Python

impacts_world/pages/migrations/0002_formpage_content.py

bruecksen/impacts-world

430a4e7b0618d49edd9aa424b63f4a3efb35ab1b

[ "MIT" ]

5

2017-05-05T12:52:58.000Z

2021-03-04T20:39:30.000Z

impacts_world/pages/migrations/0002_formpage_content.py

bruecksen/impacts-world

430a4e7b0618d49edd9aa424b63f4a3efb35ab1b

[ "MIT" ]

null

impacts_world/pages/migrations/0002_formpage_content.py

bruecksen/impacts-world

430a4e7b0618d49edd9aa424b63f4a3efb35ab1b

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.10.4 on 2017-02-21 10:01 from __future__ import unicode_literals from django.db import migrations import impacts_world.contrib.blocks import impacts_world.pages.blocks import wagtail.wagtailcore.blocks import wagtail.wagtailcore.fields import wagtail.wagtailembeds.blocks import wagtail.wagtailimages.blocks class Migration(migrations.Migration): dependencies = [ ('pages', '0001_initial'), ] operations = [ migrations.AddField( model_name='formpage', name='content', field=wagtail.wagtailcore.fields.StreamField((('heading', impacts_world.contrib.blocks.HeadingBlock()), ('sub_heading', impacts_world.contrib.blocks.SubHeadingBlock()), ('rich_text_container', impacts_world.contrib.blocks.RichTextContainerBlock()), ('image_container', impacts_world.contrib.blocks.ImageContainerBlock()), ('teaser', wagtail.wagtailcore.blocks.StructBlock((('text', impacts_world.contrib.blocks.RichTextBlock(required=True)), ('page', wagtail.wagtailcore.blocks.PageChooserBlock(required=True))))), ('video_teaser', wagtail.wagtailcore.blocks.StructBlock((('video', wagtail.wagtailembeds.blocks.EmbedBlock(required=True)), ('text', impacts_world.contrib.blocks.RichTextBlock(required=True))))), ('testimonials', wagtail.wagtailcore.blocks.StructBlock((('testimonials', wagtail.wagtailcore.blocks.ListBlock(impacts_world.pages.blocks.Testimonial)),))), ('google_map', wagtail.wagtailcore.blocks.StructBlock((('map_lat', wagtail.wagtailcore.blocks.CharBlock(default='52.520645', label='Latitude', max_length=255, required=True)), ('map_long', wagtail.wagtailcore.blocks.CharBlock(default='13.409779', label='Longitude', max_length=255, required=True)), ('map_zoom_level', wagtail.wagtailcore.blocks.CharBlock(default=14, label='Map zoom level', max_length=3, required=True))))), ('columns_1_to_1', wagtail.wagtailcore.blocks.StructBlock((('left_column', wagtail.wagtailcore.blocks.StreamBlock((('rich_text', impacts_world.contrib.blocks.RichTextBlock()), ('image', wagtail.wagtailcore.blocks.StructBlock((('image', wagtail.wagtailimages.blocks.ImageChooserBlock(required=True)), ('is_circled_image', wagtail.wagtailcore.blocks.BooleanBlock(default=False, required=False))))), ('google_map', wagtail.wagtailcore.blocks.StructBlock((('map_lat', wagtail.wagtailcore.blocks.CharBlock(default='52.520645', label='Latitude', max_length=255, required=True)), ('map_long', wagtail.wagtailcore.blocks.CharBlock(default='13.409779', label='Longitude', max_length=255, required=True)), ('map_zoom_level', wagtail.wagtailcore.blocks.CharBlock(default=14, label='Map zoom level', max_length=3, required=True)))))))), ('right_column', wagtail.wagtailcore.blocks.StreamBlock((('rich_text', impacts_world.contrib.blocks.RichTextBlock()), ('image', wagtail.wagtailcore.blocks.StructBlock((('image', wagtail.wagtailimages.blocks.ImageChooserBlock(required=True)), ('is_circled_image', wagtail.wagtailcore.blocks.BooleanBlock(default=False, required=False))))), ('google_map', wagtail.wagtailcore.blocks.StructBlock((('map_lat', wagtail.wagtailcore.blocks.CharBlock(default='52.520645', label='Latitude', max_length=255, required=True)), ('map_long', wagtail.wagtailcore.blocks.CharBlock(default='13.409779', label='Longitude', max_length=255, required=True)), ('map_zoom_level', wagtail.wagtailcore.blocks.CharBlock(default=14, label='Map zoom level', max_length=3, required=True))))))))))), ('columns_1_to_2', wagtail.wagtailcore.blocks.StructBlock((('left_column', wagtail.wagtailcore.blocks.StreamBlock((('rich_text', impacts_world.contrib.blocks.RichTextBlock()), ('image', wagtail.wagtailcore.blocks.StructBlock((('image', wagtail.wagtailimages.blocks.ImageChooserBlock(required=True)), ('is_circled_image', wagtail.wagtailcore.blocks.BooleanBlock(default=False, required=False))))), ('google_map', wagtail.wagtailcore.blocks.StructBlock((('map_lat', wagtail.wagtailcore.blocks.CharBlock(default='52.520645', label='Latitude', max_length=255, required=True)), ('map_long', wagtail.wagtailcore.blocks.CharBlock(default='13.409779', label='Longitude', max_length=255, required=True)), ('map_zoom_level', wagtail.wagtailcore.blocks.CharBlock(default=14, label='Map zoom level', max_length=3, required=True)))))))), ('right_column', wagtail.wagtailcore.blocks.StreamBlock((('rich_text', impacts_world.contrib.blocks.RichTextBlock()), ('image', wagtail.wagtailcore.blocks.StructBlock((('image', wagtail.wagtailimages.blocks.ImageChooserBlock(required=True)), ('is_circled_image', wagtail.wagtailcore.blocks.BooleanBlock(default=False, required=False))))), ('google_map', wagtail.wagtailcore.blocks.StructBlock((('map_lat', wagtail.wagtailcore.blocks.CharBlock(default='52.520645', label='Latitude', max_length=255, required=True)), ('map_long', wagtail.wagtailcore.blocks.CharBlock(default='13.409779', label='Longitude', max_length=255, required=True)), ('map_zoom_level', wagtail.wagtailcore.blocks.CharBlock(default=14, label='Map zoom level', max_length=3, required=True))))))))))), ('columns_1_to_3', wagtail.wagtailcore.blocks.StructBlock((('left_column', wagtail.wagtailcore.blocks.StreamBlock((('rich_text', impacts_world.contrib.blocks.RichTextBlock()), ('image', wagtail.wagtailcore.blocks.StructBlock((('image', wagtail.wagtailimages.blocks.ImageChooserBlock(required=True)), ('is_circled_image', wagtail.wagtailcore.blocks.BooleanBlock(default=False, required=False))))), ('google_map', wagtail.wagtailcore.blocks.StructBlock((('map_lat', wagtail.wagtailcore.blocks.CharBlock(default='52.520645', label='Latitude', max_length=255, required=True)), ('map_long', wagtail.wagtailcore.blocks.CharBlock(default='13.409779', label='Longitude', max_length=255, required=True)), ('map_zoom_level', wagtail.wagtailcore.blocks.CharBlock(default=14, label='Map zoom level', max_length=3, required=True)))))))), ('right_column', wagtail.wagtailcore.blocks.StreamBlock((('rich_text', impacts_world.contrib.blocks.RichTextBlock()), ('image', wagtail.wagtailcore.blocks.StructBlock((('image', wagtail.wagtailimages.blocks.ImageChooserBlock(required=True)), ('is_circled_image', wagtail.wagtailcore.blocks.BooleanBlock(default=False, required=False))))), ('google_map', wagtail.wagtailcore.blocks.StructBlock((('map_lat', wagtail.wagtailcore.blocks.CharBlock(default='52.520645', label='Latitude', max_length=255, required=True)), ('map_long', wagtail.wagtailcore.blocks.CharBlock(default='13.409779', label='Longitude', max_length=255, required=True)), ('map_zoom_level', wagtail.wagtailcore.blocks.CharBlock(default=14, label='Map zoom level', max_length=3, required=True))))))))))), ('columns_2_to_1', wagtail.wagtailcore.blocks.StructBlock((('left_column', wagtail.wagtailcore.blocks.StreamBlock((('rich_text', impacts_world.contrib.blocks.RichTextBlock()), ('image', wagtail.wagtailcore.blocks.StructBlock((('image', wagtail.wagtailimages.blocks.ImageChooserBlock(required=True)), ('is_circled_image', wagtail.wagtailcore.blocks.BooleanBlock(default=False, required=False))))), ('google_map', wagtail.wagtailcore.blocks.StructBlock((('map_lat', wagtail.wagtailcore.blocks.CharBlock(default='52.520645', label='Latitude', max_length=255, required=True)), ('map_long', wagtail.wagtailcore.blocks.CharBlock(default='13.409779', label='Longitude', max_length=255, required=True)), ('map_zoom_level', wagtail.wagtailcore.blocks.CharBlock(default=14, label='Map zoom level', max_length=3, required=True)))))))), ('right_column', wagtail.wagtailcore.blocks.StreamBlock((('rich_text', impacts_world.contrib.blocks.RichTextBlock()), ('image', wagtail.wagtailcore.blocks.StructBlock((('image', wagtail.wagtailimages.blocks.ImageChooserBlock(required=True)), ('is_circled_image', wagtail.wagtailcore.blocks.BooleanBlock(default=False, required=False))))), ('google_map', wagtail.wagtailcore.blocks.StructBlock((('map_lat', wagtail.wagtailcore.blocks.CharBlock(default='52.520645', label='Latitude', max_length=255, required=True)), ('map_long', wagtail.wagtailcore.blocks.CharBlock(default='13.409779', label='Longitude', max_length=255, required=True)), ('map_zoom_level', wagtail.wagtailcore.blocks.CharBlock(default=14, label='Map zoom level', max_length=3, required=True))))))))))), ('columns_1_to_1_to_1', wagtail.wagtailcore.blocks.StructBlock((('left_column', wagtail.wagtailcore.blocks.StreamBlock((('rich_text', impacts_world.contrib.blocks.RichTextBlock()), ('image', wagtail.wagtailcore.blocks.StructBlock((('image', wagtail.wagtailimages.blocks.ImageChooserBlock(required=True)), ('is_circled_image', wagtail.wagtailcore.blocks.BooleanBlock(default=False, required=False))))), ('google_map', wagtail.wagtailcore.blocks.StructBlock((('map_lat', wagtail.wagtailcore.blocks.CharBlock(default='52.520645', label='Latitude', max_length=255, required=True)), ('map_long', wagtail.wagtailcore.blocks.CharBlock(default='13.409779', label='Longitude', max_length=255, required=True)), ('map_zoom_level', wagtail.wagtailcore.blocks.CharBlock(default=14, label='Map zoom level', max_length=3, required=True)))))))), ('center_column', wagtail.wagtailcore.blocks.StreamBlock((('rich_text', impacts_world.contrib.blocks.RichTextBlock()), ('image', wagtail.wagtailcore.blocks.StructBlock((('image', wagtail.wagtailimages.blocks.ImageChooserBlock(required=True)), ('is_circled_image', wagtail.wagtailcore.blocks.BooleanBlock(default=False, required=False))))), ('google_map', wagtail.wagtailcore.blocks.StructBlock((('map_lat', wagtail.wagtailcore.blocks.CharBlock(default='52.520645', label='Latitude', max_length=255, required=True)), ('map_long', wagtail.wagtailcore.blocks.CharBlock(default='13.409779', label='Longitude', max_length=255, required=True)), ('map_zoom_level', wagtail.wagtailcore.blocks.CharBlock(default=14, label='Map zoom level', max_length=3, required=True)))))))), ('right_column', wagtail.wagtailcore.blocks.StreamBlock((('rich_text', impacts_world.contrib.blocks.RichTextBlock()), ('image', wagtail.wagtailcore.blocks.StructBlock((('image', wagtail.wagtailimages.blocks.ImageChooserBlock(required=True)), ('is_circled_image', wagtail.wagtailcore.blocks.BooleanBlock(default=False, required=False))))), ('google_map', wagtail.wagtailcore.blocks.StructBlock((('map_lat', wagtail.wagtailcore.blocks.CharBlock(default='52.520645', label='Latitude', max_length=255, required=True)), ('map_long', wagtail.wagtailcore.blocks.CharBlock(default='13.409779', label='Longitude', max_length=255, required=True)), ('map_zoom_level', wagtail.wagtailcore.blocks.CharBlock(default=14, label='Map zoom level', max_length=3, required=True))))))))))), ('columns_1_to_1_to_1_to_1', wagtail.wagtailcore.blocks.StructBlock((('first_column', wagtail.wagtailcore.blocks.StreamBlock((('rich_text', impacts_world.contrib.blocks.RichTextBlock()), ('image', wagtail.wagtailcore.blocks.StructBlock((('image', wagtail.wagtailimages.blocks.ImageChooserBlock(required=True)), ('is_circled_image', wagtail.wagtailcore.blocks.BooleanBlock(default=False, required=False))))), ('google_map', wagtail.wagtailcore.blocks.StructBlock((('map_lat', wagtail.wagtailcore.blocks.CharBlock(default='52.520645', label='Latitude', max_length=255, required=True)), ('map_long', wagtail.wagtailcore.blocks.CharBlock(default='13.409779', label='Longitude', max_length=255, required=True)), ('map_zoom_level', wagtail.wagtailcore.blocks.CharBlock(default=14, label='Map zoom level', max_length=3, required=True)))))))), ('second_column', wagtail.wagtailcore.blocks.StreamBlock((('rich_text', impacts_world.contrib.blocks.RichTextBlock()), ('image', wagtail.wagtailcore.blocks.StructBlock((('image', wagtail.wagtailimages.blocks.ImageChooserBlock(required=True)), ('is_circled_image', wagtail.wagtailcore.blocks.BooleanBlock(default=False, required=False))))), ('google_map', wagtail.wagtailcore.blocks.StructBlock((('map_lat', wagtail.wagtailcore.blocks.CharBlock(default='52.520645', label='Latitude', max_length=255, required=True)), ('map_long', wagtail.wagtailcore.blocks.CharBlock(default='13.409779', label='Longitude', max_length=255, required=True)), ('map_zoom_level', wagtail.wagtailcore.blocks.CharBlock(default=14, label='Map zoom level', max_length=3, required=True)))))))), ('third_column', wagtail.wagtailcore.blocks.StreamBlock((('rich_text', impacts_world.contrib.blocks.RichTextBlock()), ('image', wagtail.wagtailcore.blocks.StructBlock((('image', wagtail.wagtailimages.blocks.ImageChooserBlock(required=True)), ('is_circled_image', wagtail.wagtailcore.blocks.BooleanBlock(default=False, required=False))))), ('google_map', wagtail.wagtailcore.blocks.StructBlock((('map_lat', wagtail.wagtailcore.blocks.CharBlock(default='52.520645', label='Latitude', max_length=255, required=True)), ('map_long', wagtail.wagtailcore.blocks.CharBlock(default='13.409779', label='Longitude', max_length=255, required=True)), ('map_zoom_level', wagtail.wagtailcore.blocks.CharBlock(default=14, label='Map zoom level', max_length=3, required=True)))))))), ('fourth_column', wagtail.wagtailcore.blocks.StreamBlock((('rich_text', impacts_world.contrib.blocks.RichTextBlock()), ('image', wagtail.wagtailcore.blocks.StructBlock((('image', wagtail.wagtailimages.blocks.ImageChooserBlock(required=True)), ('is_circled_image', wagtail.wagtailcore.blocks.BooleanBlock(default=False, required=False))))), ('google_map', wagtail.wagtailcore.blocks.StructBlock((('map_lat', wagtail.wagtailcore.blocks.CharBlock(default='52.520645', label='Latitude', max_length=255, required=True)), ('map_long', wagtail.wagtailcore.blocks.CharBlock(default='13.409779', label='Longitude', max_length=255, required=True)), ('map_zoom_level', wagtail.wagtailcore.blocks.CharBlock(default=14, label='Map zoom level', max_length=3, required=True)))))))))))), blank=True, null=True), ), ]

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13

8691d43648c9a53d8c9baf49801b02bceb354714

8,346

py

Python

tests/integration/test_restore.py

untergeek/curator_api

b53bf99b729488c0b2b05fd6b3d159113d0edc62

[ "Apache-2.0" ]

null

tests/integration/test_restore.py

untergeek/curator_api

b53bf99b729488c0b2b05fd6b3d159113d0edc62

[ "Apache-2.0" ]

null

tests/integration/test_restore.py

untergeek/curator_api

b53bf99b729488c0b2b05fd6b3d159113d0edc62

[ "Apache-2.0" ]

3

2018-12-11T04:42:25.000Z

2020-11-19T18:14:29.000Z

# import elasticsearch # import curator # import os # import time # import json # import string, random, tempfile # from click import testing as clicktest # from mock import patch, Mock # from . import CuratorTestCase # from . import testvars as testvars # import logging # logger = logging.getLogger(__name__) # host, port = os.environ.get('TEST_ES_SERVER', 'localhost:9200').split(':') # port = int(port) if port else 9200 # # ' repository: {0}\n' # # ' name: {1}\n' # # ' indices: {2}\n' # # ' include_aliases: {3}\n' # # ' ignore_unavailable: {4}\n' # # ' include_global_state: {5}\n' # # ' partial: {6}\n' # # ' rename_pattern: {7}\n' # # ' rename_replacement: {8}\n' # # ' extra_settings: {9}\n' # # ' wait_for_completion: {10}\n' # # ' skip_repo_fs_check: {11}\n' # # ' timeout_override: {12}\n' # # ' wait_interval: {13}\n' # # ' max_wait: {14}\n' # class TestActionFileRestore(CuratorTestCase): # def test_restore(self): # indices = [] # for i in range(1,4): # self.add_docs('my_index{0}'.format(i)) # indices.append('my_index{0}'.format(i)) # snap_name = 'snapshot1' # self.create_snapshot(snap_name, ','.join(indices)) # snapshot = curator.get_snapshot( # self.client, self.args['repository'], '_all' # ) # self.assertEqual(1, len(snapshot['snapshots'])) # self.client.indices.delete(','.join(indices)) # self.assertEqual([], curator.get_indices(self.client)) # self.write_config( # self.args['configfile'], testvars.client_config.format(host, port)) # self.write_config(self.args['actionfile'], # testvars.restore_snapshot_proto.format( # self.args['repository'], # snap_name, # indices, # False, # False, # True, # False, # ' ', # ' ', # ' ', # True, # False, # 301, # 1, # 3 # ) # ) # test = clicktest.CliRunner() # _ = test.invoke( # curator.cli, # [ # '--config', self.args['configfile'], # self.args['actionfile'] # ], # ) # restored_indices = sorted(curator.get_indices(self.client)) # self.assertEqual(indices, restored_indices) # # The test runs so fast that it tries to execute the cleanup step # # and delete the repository before Elasticsearch is actually ready # time.sleep(0.5) # def test_restore_with_rename(self): # indices = [] # for i in range(1,4): # self.add_docs('my_index{0}'.format(i)) # indices.append('my_index{0}'.format(i)) # snap_name = 'snapshot1' # self.create_snapshot(snap_name, ','.join(indices)) # snapshot = curator.get_snapshot( # self.client, self.args['repository'], '_all' # ) # time.sleep(1) # self.assertEqual(1, len(snapshot['snapshots'])) # self.client.indices.delete(','.join(indices)) # self.assertEqual([], curator.get_indices(self.client)) # self.write_config( # self.args['configfile'], testvars.client_config.format(host, port)) # self.write_config(self.args['actionfile'], # testvars.restore_snapshot_proto.format( # self.args['repository'], # snap_name, # indices, # False, # False, # True, # False, # 'my_index(.+)', # 'new_index$1', # ' ', # True, # False, # 301, # 1, # 3, # ) # ) # test = clicktest.CliRunner() # _ = test.invoke( # curator.cli, # [ # '--config', self.args['configfile'], # self.args['actionfile'] # ], # ) # time.sleep(1) # restored_indices = sorted(curator.get_indices(self.client)) # self.assertEqual( # ['new_index1', 'new_index2', 'new_index3'], # restored_indices # ) # # The test runs so fast that it tries to execute the cleanup step # # and delete the repository before Elasticsearch is actually ready # time.sleep(1) # def test_restore_wildcard(self): # indices = [] # my_indices = [] # wildcard = ['my_*'] # for i in range(1,4): # for prefix in ['my_', 'not_my_']: # self.add_docs('{0}index{1}'.format(prefix, i)) # indices.append('{0}index{1}'.format(prefix, i)) # if prefix == 'my_': # my_indices.append('{0}index{1}'.format(prefix, i)) # snap_name = 'snapshot1' # self.create_snapshot(snap_name, ','.join(indices)) # snapshot = curator.get_snapshot( # self.client, self.args['repository'], '_all' # ) # self.assertEqual(1, len(snapshot['snapshots'])) # self.client.indices.delete(','.join(indices)) # self.assertEqual([], curator.get_indices(self.client)) # self.write_config( # self.args['configfile'], testvars.client_config.format(host, port)) # self.write_config(self.args['actionfile'], # testvars.restore_snapshot_proto.format( # self.args['repository'], # snap_name, # wildcard, # False, # False, # True, # False, # ' ', # ' ', # ' ', # True, # False, # 301, # 1, # 3 # ) # ) # test = clicktest.CliRunner() # _ = test.invoke( # curator.cli, # [ # '--config', self.args['configfile'], # self.args['actionfile'] # ], # ) # restored_indices = sorted(curator.get_indices(self.client)) # self.assertEqual(my_indices, restored_indices) # # The test runs so fast that it tries to execute the cleanup step # # and delete the repository before Elasticsearch is actually ready # time.sleep(0.5) # class TestCLIRestore(CuratorTestCase): # def test_restore(self): # indices = [] # for i in range(1,4): # self.add_docs('my_index{0}'.format(i)) # indices.append('my_index{0}'.format(i)) # snap_name = 'snapshot1' # self.create_snapshot(snap_name, ','.join(indices)) # snapshot = curator.get_snapshot( # self.client, self.args['repository'], '_all' # ) # self.assertEqual(1, len(snapshot['snapshots'])) # self.client.indices.delete(','.join(indices)) # self.assertEqual([], curator.get_indices(self.client)) # args = self.get_runner_args() # args += [ # '--config', self.args['configfile'], # 'restore', # '--repository', self.args['repository'], # '--name', snap_name, # '--index', indices[0], # '--index', indices[1], # '--index', indices[2], # '--wait_interval', '1', # '--max_wait', '3', # '--filter_list', '{"filtertype":"none"}', # ] # self.assertEqual(0, self.run_subprocess(args, logname='TestCLIRestore.test_restore')) # restored_indices = sorted(curator.get_indices(self.client)) # self.assertEqual(indices, restored_indices) # # The test runs so fast that it tries to execute the cleanup step # # and delete the repository before Elasticsearch is actually ready # time.sleep(0.5)

38.109589

95

0.4867

786

8,346

5.020356

0.189567

0.042575

0.039027

0.042575

0.742778

0.734415

0.717942

0

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0.371196

8,346

218

96

38.284404

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0

null

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null

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7

86941782e068184a792fce70e82d4c31573b9221

14,591

py

Python

sdk/python/build/lib/pulumi_databricks/databricks/metastore_data_access.py

ingenii-solutions/pulumi-databricks

f03ecc4e190a4e59eb635663f6408350dcab42ea

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

2

2021-12-10T07:35:59.000Z

2022-03-23T22:53:55.000Z

sdk/python/pulumi_databricks/databricks/metastore_data_access.py

ingenii-solutions/pulumi-databricks

f03ecc4e190a4e59eb635663f6408350dcab42ea

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

null

sdk/python/pulumi_databricks/databricks/metastore_data_access.py

ingenii-solutions/pulumi-databricks

f03ecc4e190a4e59eb635663f6408350dcab42ea

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

null

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities from . import outputs from ._inputs import * __all__ = ['MetastoreDataAccessArgs', 'MetastoreDataAccess'] @pulumi.input_type class MetastoreDataAccessArgs: def __init__(__self__, *, metastore_id: pulumi.Input[str], aws_iam_role: Optional[pulumi.Input['MetastoreDataAccessAwsIamRoleArgs']] = None, azure_service_principal: Optional[pulumi.Input['MetastoreDataAccessAzureServicePrincipalArgs']] = None, configuration_type: Optional[pulumi.Input[str]] = None, id: Optional[pulumi.Input[str]] = None, is_default: Optional[pulumi.Input[bool]] = None, name: Optional[pulumi.Input[str]] = None): """ The set of arguments for constructing a MetastoreDataAccess resource. """ pulumi.set(__self__, "metastore_id", metastore_id) if aws_iam_role is not None: pulumi.set(__self__, "aws_iam_role", aws_iam_role) if azure_service_principal is not None: pulumi.set(__self__, "azure_service_principal", azure_service_principal) if configuration_type is not None: pulumi.set(__self__, "configuration_type", configuration_type) if id is not None: pulumi.set(__self__, "id", id) if is_default is not None: pulumi.set(__self__, "is_default", is_default) if name is not None: pulumi.set(__self__, "name", name) @property @pulumi.getter(name="metastoreId") def metastore_id(self) -> pulumi.Input[str]: return pulumi.get(self, "metastore_id") @metastore_id.setter def metastore_id(self, value: pulumi.Input[str]): pulumi.set(self, "metastore_id", value) @property @pulumi.getter(name="awsIamRole") def aws_iam_role(self) -> Optional[pulumi.Input['MetastoreDataAccessAwsIamRoleArgs']]: return pulumi.get(self, "aws_iam_role") @aws_iam_role.setter def aws_iam_role(self, value: Optional[pulumi.Input['MetastoreDataAccessAwsIamRoleArgs']]): pulumi.set(self, "aws_iam_role", value) @property @pulumi.getter(name="azureServicePrincipal") def azure_service_principal(self) -> Optional[pulumi.Input['MetastoreDataAccessAzureServicePrincipalArgs']]: return pulumi.get(self, "azure_service_principal") @azure_service_principal.setter def azure_service_principal(self, value: Optional[pulumi.Input['MetastoreDataAccessAzureServicePrincipalArgs']]): pulumi.set(self, "azure_service_principal", value) @property @pulumi.getter(name="configurationType") def configuration_type(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "configuration_type") @configuration_type.setter def configuration_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "configuration_type", value) @property @pulumi.getter def id(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "id") @id.setter def id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "id", value) @property @pulumi.getter(name="isDefault") def is_default(self) -> Optional[pulumi.Input[bool]]: return pulumi.get(self, "is_default") @is_default.setter def is_default(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "is_default", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @pulumi.input_type class _MetastoreDataAccessState: def __init__(__self__, *, aws_iam_role: Optional[pulumi.Input['MetastoreDataAccessAwsIamRoleArgs']] = None, azure_service_principal: Optional[pulumi.Input['MetastoreDataAccessAzureServicePrincipalArgs']] = None, configuration_type: Optional[pulumi.Input[str]] = None, id: Optional[pulumi.Input[str]] = None, is_default: Optional[pulumi.Input[bool]] = None, metastore_id: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None): """ Input properties used for looking up and filtering MetastoreDataAccess resources. """ if aws_iam_role is not None: pulumi.set(__self__, "aws_iam_role", aws_iam_role) if azure_service_principal is not None: pulumi.set(__self__, "azure_service_principal", azure_service_principal) if configuration_type is not None: pulumi.set(__self__, "configuration_type", configuration_type) if id is not None: pulumi.set(__self__, "id", id) if is_default is not None: pulumi.set(__self__, "is_default", is_default) if metastore_id is not None: pulumi.set(__self__, "metastore_id", metastore_id) if name is not None: pulumi.set(__self__, "name", name) @property @pulumi.getter(name="awsIamRole") def aws_iam_role(self) -> Optional[pulumi.Input['MetastoreDataAccessAwsIamRoleArgs']]: return pulumi.get(self, "aws_iam_role") @aws_iam_role.setter def aws_iam_role(self, value: Optional[pulumi.Input['MetastoreDataAccessAwsIamRoleArgs']]): pulumi.set(self, "aws_iam_role", value) @property @pulumi.getter(name="azureServicePrincipal") def azure_service_principal(self) -> Optional[pulumi.Input['MetastoreDataAccessAzureServicePrincipalArgs']]: return pulumi.get(self, "azure_service_principal") @azure_service_principal.setter def azure_service_principal(self, value: Optional[pulumi.Input['MetastoreDataAccessAzureServicePrincipalArgs']]): pulumi.set(self, "azure_service_principal", value) @property @pulumi.getter(name="configurationType") def configuration_type(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "configuration_type") @configuration_type.setter def configuration_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "configuration_type", value) @property @pulumi.getter def id(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "id") @id.setter def id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "id", value) @property @pulumi.getter(name="isDefault") def is_default(self) -> Optional[pulumi.Input[bool]]: return pulumi.get(self, "is_default") @is_default.setter def is_default(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "is_default", value) @property @pulumi.getter(name="metastoreId") def metastore_id(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "metastore_id") @metastore_id.setter def metastore_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "metastore_id", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) class MetastoreDataAccess(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, aws_iam_role: Optional[pulumi.Input[pulumi.InputType['MetastoreDataAccessAwsIamRoleArgs']]] = None, azure_service_principal: Optional[pulumi.Input[pulumi.InputType['MetastoreDataAccessAzureServicePrincipalArgs']]] = None, configuration_type: Optional[pulumi.Input[str]] = None, id: Optional[pulumi.Input[str]] = None, is_default: Optional[pulumi.Input[bool]] = None, metastore_id: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, __props__=None): """ Create a MetastoreDataAccess resource with the given unique name, props, and options. :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. """ ... @overload def __init__(__self__, resource_name: str, args: MetastoreDataAccessArgs, opts: Optional[pulumi.ResourceOptions] = None): """ Create a MetastoreDataAccess resource with the given unique name, props, and options. :param str resource_name: The name of the resource. :param MetastoreDataAccessArgs 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(MetastoreDataAccessArgs, 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, aws_iam_role: Optional[pulumi.Input[pulumi.InputType['MetastoreDataAccessAwsIamRoleArgs']]] = None, azure_service_principal: Optional[pulumi.Input[pulumi.InputType['MetastoreDataAccessAzureServicePrincipalArgs']]] = None, configuration_type: Optional[pulumi.Input[str]] = None, id: Optional[pulumi.Input[str]] = None, is_default: Optional[pulumi.Input[bool]] = None, metastore_id: Optional[pulumi.Input[str]] = None, name: 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__ = MetastoreDataAccessArgs.__new__(MetastoreDataAccessArgs) __props__.__dict__["aws_iam_role"] = aws_iam_role __props__.__dict__["azure_service_principal"] = azure_service_principal __props__.__dict__["configuration_type"] = configuration_type __props__.__dict__["id"] = id __props__.__dict__["is_default"] = is_default if metastore_id is None and not opts.urn: raise TypeError("Missing required property 'metastore_id'") __props__.__dict__["metastore_id"] = metastore_id __props__.__dict__["name"] = name super(MetastoreDataAccess, __self__).__init__( 'databricks:databricks/metastoreDataAccess:MetastoreDataAccess', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, aws_iam_role: Optional[pulumi.Input[pulumi.InputType['MetastoreDataAccessAwsIamRoleArgs']]] = None, azure_service_principal: Optional[pulumi.Input[pulumi.InputType['MetastoreDataAccessAzureServicePrincipalArgs']]] = None, configuration_type: Optional[pulumi.Input[str]] = None, is_default: Optional[pulumi.Input[bool]] = None, metastore_id: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None) -> 'MetastoreDataAccess': """ Get an existing MetastoreDataAccess 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. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _MetastoreDataAccessState.__new__(_MetastoreDataAccessState) __props__.__dict__["aws_iam_role"] = aws_iam_role __props__.__dict__["azure_service_principal"] = azure_service_principal __props__.__dict__["configuration_type"] = configuration_type __props__.__dict__["id"] = id __props__.__dict__["is_default"] = is_default __props__.__dict__["metastore_id"] = metastore_id __props__.__dict__["name"] = name return MetastoreDataAccess(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="awsIamRole") def aws_iam_role(self) -> pulumi.Output[Optional['outputs.MetastoreDataAccessAwsIamRole']]: return pulumi.get(self, "aws_iam_role") @property @pulumi.getter(name="azureServicePrincipal") def azure_service_principal(self) -> pulumi.Output[Optional['outputs.MetastoreDataAccessAzureServicePrincipal']]: return pulumi.get(self, "azure_service_principal") @property @pulumi.getter(name="configurationType") def configuration_type(self) -> pulumi.Output[str]: return pulumi.get(self, "configuration_type") @property @pulumi.getter def id(self) -> pulumi.Output[str]: return pulumi.get(self, "id") @property @pulumi.getter(name="isDefault") def is_default(self) -> pulumi.Output[Optional[bool]]: return pulumi.get(self, "is_default") @property @pulumi.getter(name="metastoreId") def metastore_id(self) -> pulumi.Output[str]: return pulumi.get(self, "metastore_id") @property @pulumi.getter def name(self) -> pulumi.Output[str]: return pulumi.get(self, "name")

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0.761445

0.734867

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0

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0.226167

14,591

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43.168639

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0.080529

0

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0

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86a522ab44de79b11b03da7a3b26e344e35c193f

14,492

py

Python

prediction_runner/contract.py

bbiangul/pancakeswap

f8eae77424394cfd4204f25ed9429f231bf7eb72

[ "MIT" ]

null

prediction_runner/contract.py

bbiangul/pancakeswap

f8eae77424394cfd4204f25ed9429f231bf7eb72

[ "MIT" ]

null

prediction_runner/contract.py

bbiangul/pancakeswap

f8eae77424394cfd4204f25ed9429f231bf7eb72

[ "MIT" ]

null

PREDICTION_CONTRACT = '0x18B2A687610328590Bc8F2e5fEdDe3b582A49cdA' PREDICTION_ABI = [{"inputs":[{"internalType":"address","name":"_oracleAddress","type":"address"},{"internalType":"address","name":"_adminAddress","type":"address"},{"internalType":"address","name":"_operatorAddress","type":"address"},{"internalType":"uint256","name":"_intervalSeconds","type":"uint256"},{"internalType":"uint256","name":"_bufferSeconds","type":"uint256"},{"internalType":"uint256","name":"_minBetAmount","type":"uint256"},{"internalType":"uint256","name":"_oracleUpdateAllowance","type":"uint256"},{"internalType":"uint256","name":"_treasuryFee","type":"uint256"}],"stateMutability":"nonpayable","type":"constructor"}, {"anonymous": False, "inputs":[{"indexed": True, "internalType": "address", "name": "sender", "type": "address"}, {"indexed": True, "internalType": "uint256", "name": "epoch", "type": "uint256"}, {"indexed": False, "internalType": "uint256", "name": "amount", "type": "uint256"}], "name": "BetBear", "type": "event"}, {"anonymous": False, "inputs":[{"indexed": True, "internalType": "address", "name": "sender", "type": "address"}, {"indexed": True, "internalType": "uint256", "name": "epoch", "type": "uint256"}, {"indexed": False, "internalType": "uint256", "name": "amount", "type": "uint256"}], "name": "BetBull", "type": "event"}, {"anonymous": False, "inputs":[{"indexed": True, "internalType": "address", "name": "sender", "type": "address"}, {"indexed": True, "internalType": "uint256", "name": "epoch", "type": "uint256"}, {"indexed": False, "internalType": "uint256", "name": "amount", "type": "uint256"}], "name": "Claim", "type": "event"}, {"anonymous": False, "inputs":[{"indexed": True, "internalType": "uint256", "name": "epoch", "type": "uint256"}, {"indexed": True, "internalType": "uint256", "name": "roundId", "type": "uint256"}, {"indexed": False, "internalType": "int256", "name": "price", "type": "int256"}], "name": "EndRound", "type": "event"}, {"anonymous": False, "inputs":[{"indexed": True, "internalType": "uint256", "name": "epoch", "type": "uint256"}, {"indexed": True, "internalType": "uint256", "name": "roundId", "type": "uint256"}, {"indexed": False, "internalType": "int256", "name": "price", "type": "int256"}], "name": "LockRound", "type": "event"}, {"anonymous": False, "inputs":[{"indexed": False, "internalType": "address", "name": "admin", "type": "address"}], "name": "NewAdminAddress", "type": "event"}, {"anonymous": False, "inputs":[{"indexed": False, "internalType": "uint256", "name": "bufferSeconds", "type": "uint256"}, {"indexed": False, "internalType": "uint256", "name": "intervalSeconds", "type": "uint256"}], "name": "NewBufferAndIntervalSeconds", "type": "event"}, {"anonymous": False, "inputs":[{"indexed": True, "internalType": "uint256", "name": "epoch", "type": "uint256"}, {"indexed": False, "internalType": "uint256", "name": "minBetAmount", "type": "uint256"}], "name": "NewMinBetAmount", "type": "event"}, {"anonymous": False, "inputs":[{"indexed": False, "internalType": "address", "name": "operator", "type": "address"}], "name": "NewOperatorAddress", "type": "event"}, {"anonymous": False, "inputs":[{"indexed": False, "internalType": "address", "name": "oracle", "type": "address"}], "name": "NewOracle", "type": "event"}, {"anonymous": False, "inputs":[{"indexed": False, "internalType": "uint256", "name": "oracleUpdateAllowance", "type": "uint256"}], "name": "NewOracleUpdateAllowance", "type": "event"}, {"anonymous": False, "inputs":[{"indexed": True, "internalType": "uint256", "name": "epoch", "type": "uint256"}, {"indexed": False, "internalType": "uint256", "name": "treasuryFee", "type": "uint256"}], "name": "NewTreasuryFee", "type": "event"}, {"anonymous": False, "inputs":[{"indexed": True, "internalType": "address", "name": "previousOwner", "type": "address"}, {"indexed": True, "internalType": "address", "name": "newOwner", "type": "address"}], "name": "OwnershipTransferred", "type": "event"}, {"anonymous": False, "inputs":[{"indexed": True, "internalType": "uint256", "name": "epoch", "type": "uint256"}], "name": "Pause", "type": "event"}, {"anonymous": False, "inputs":[{"indexed": False, "internalType": "address", "name": "account", "type": "address"}], "name": "Paused", "type": "event"}, {"anonymous": False, "inputs":[{"indexed": True, "internalType": "uint256", "name": "epoch", "type": "uint256"}, {"indexed": False, "internalType": "uint256", "name": "rewardBaseCalAmount", "type": "uint256"}, {"indexed": False, "internalType": "uint256", "name": "rewardAmount", "type": "uint256"}, {"indexed": False, "internalType": "uint256", "name": "treasuryAmount", "type": "uint256"}], "name": "RewardsCalculated", "type": "event"}, {"anonymous": False, "inputs":[{"indexed": True, "internalType": "uint256", "name": "epoch", "type": "uint256"}], "name": "StartRound", "type": "event"}, {"anonymous": False, "inputs":[{"indexed": True, "internalType": "address", "name": "token", "type": "address"}, {"indexed": False, "internalType": "uint256", "name": "amount", "type": "uint256"}], "name": "TokenRecovery", "type": "event"}, {"anonymous": False, "inputs":[{"indexed": False, "internalType": "uint256", "name": "amount", "type": "uint256"}], "name": "TreasuryClaim", "type": "event"}, {"anonymous": False, "inputs":[{"indexed": True, "internalType": "uint256", "name": "epoch", "type": "uint256"}], "name": "Unpause", "type": "event"}, {"anonymous": False, "inputs":[{"indexed": False, "internalType": "address", "name": "account", "type": "address"}], "name": "Unpaused", "type": "event"}, {"inputs":[], "name": "MAX_TREASURY_FEE", "outputs":[{"internalType": "uint256", "name": "", "type": "uint256"}], "stateMutability": "view", "type": "function"}, {"inputs":[], "name": "adminAddress", "outputs":[{"internalType": "address", "name": "", "type": "address"}], "stateMutability": "view", "type": "function"}, {"inputs":[{"internalType": "uint256", "name": "epoch", "type": "uint256"}], "name": "betBear", "outputs":[], "stateMutability": "payable", "type": "function"}, {"inputs":[{"internalType": "uint256", "name": "epoch", "type": "uint256"}], "name": "betBull", "outputs":[], "stateMutability": "payable", "type": "function"}, {"inputs":[], "name": "bufferSeconds", "outputs":[{"internalType": "uint256", "name": "", "type": "uint256"}], "stateMutability": "view", "type": "function"}, {"inputs":[{"internalType": "uint256[]", "name": "epochs", "type": "uint256[]"}], "name": "claim", "outputs":[], "stateMutability": "nonpayable", "type": "function"}, {"inputs":[], "name": "claimTreasury", "outputs":[], "stateMutability": "nonpayable", "type": "function"}, {"inputs":[{"internalType": "uint256", "name": "epoch", "type": "uint256"}, {"internalType": "address", "name": "user", "type": "address"}], "name": "claimable", "outputs":[{"internalType": "bool", "name": "", "type": "bool"}], "stateMutability": "view", "type": "function"}, {"inputs":[], "name": "currentEpoch", "outputs":[{"internalType": "uint256", "name": "", "type": "uint256"}], "stateMutability": "view", "type": "function"}, {"inputs":[], "name": "executeRound", "outputs":[], "stateMutability": "nonpayable", "type": "function"}, {"inputs":[], "name": "genesisLockOnce", "outputs":[{"internalType": "bool", "name": "", "type": "bool"}], "stateMutability": "view", "type": "function"}, {"inputs":[], "name": "genesisLockRound", "outputs":[], "stateMutability": "nonpayable", "type": "function"}, {"inputs":[], "name": "genesisStartOnce", "outputs":[{"internalType": "bool", "name": "", "type": "bool"}], "stateMutability": "view", "type": "function"}, {"inputs":[], "name": "genesisStartRound", "outputs":[], "stateMutability": "nonpayable", "type": "function"}, {"inputs":[{"internalType": "address", "name": "user", "type": "address"}, {"internalType": "uint256", "name": "cursor", "type": "uint256"}, {"internalType": "uint256", "name": "size", "type": "uint256"}], "name": "getUserRounds", "outputs":[{"internalType": "uint256[]", "name": "", "type": "uint256[]"}, {"components":[{"internalType": "enum PancakePredictionV2.Position", "name": "position", "type": "uint8"}, {"internalType": "uint256", "name": "amount", "type": "uint256"}, {"internalType": "bool", "name": "claimed", "type": "bool"}], "internalType": "struct PancakePredictionV2.BetInfo[]", "name": "", "type": "tuple[]"}, {"internalType": "uint256", "name": "", "type": "uint256"}], "stateMutability": "view", "type": "function"}, {"inputs":[{"internalType": "address", "name": "user", "type": "address"}], "name": "getUserRoundsLength", "outputs":[{"internalType": "uint256", "name": "", "type": "uint256"}], "stateMutability": "view", "type": "function"}, {"inputs":[], "name": "intervalSeconds", "outputs":[{"internalType": "uint256", "name": "", "type": "uint256"}], "stateMutability": "view", "type": "function"}, {"inputs":[{"internalType": "uint256", "name": "", "type": "uint256"}, {"internalType": "address", "name": "", "type": "address"}], "name": "ledger", "outputs":[{"internalType": "enum PancakePredictionV2.Position", "name": "position", "type": "uint8"}, {"internalType": "uint256", "name": "amount", "type": "uint256"}, {"internalType": "bool", "name": "claimed", "type": "bool"}], "stateMutability": "view", "type": "function"}, {"inputs":[], "name": "minBetAmount", "outputs":[{"internalType": "uint256", "name": "", "type": "uint256"}], "stateMutability": "view", "type": "function"}, {"inputs":[], "name": "operatorAddress", "outputs":[{"internalType": "address", "name": "", "type": "address"}], "stateMutability": "view", "type": "function"}, {"inputs":[], "name": "oracle", "outputs":[{"internalType": "contract AggregatorV3Interface", "name": "", "type": "address"}], "stateMutability": "view", "type": "function"}, {"inputs":[], "name": "oracleLatestRoundId", "outputs":[{"internalType": "uint256", "name": "", "type": "uint256"}], "stateMutability": "view", "type": "function"}, {"inputs":[], "name": "oracleUpdateAllowance", "outputs":[{"internalType": "uint256", "name": "", "type": "uint256"}], "stateMutability": "view", "type": "function"}, {"inputs":[], "name": "owner", "outputs":[{"internalType": "address", "name": "", "type": "address"}], "stateMutability": "view", "type": "function"}, {"inputs":[], "name": "pause", "outputs":[], "stateMutability": "nonpayable", "type": "function"}, {"inputs":[], "name": "paused", "outputs":[{"internalType": "bool", "name": "", "type": "bool"}], "stateMutability": "view", "type": "function"}, {"inputs":[{"internalType": "address", "name": "_token", "type": "address"}, {"internalType": "uint256", "name": "_amount", "type": "uint256"}], "name": "recoverToken", "outputs":[], "stateMutability": "nonpayable", "type": "function"}, {"inputs":[{"internalType": "uint256", "name": "epoch", "type": "uint256"}, {"internalType": "address", "name": "user", "type": "address"}], "name": "refundable", "outputs":[{"internalType": "bool", "name": "", "type": "bool"}], "stateMutability": "view", "type": "function"}, {"inputs":[], "name": "renounceOwnership", "outputs":[], "stateMutability": "nonpayable", "type": "function"}, {"inputs":[{"internalType": "uint256", "name": "", "type": "uint256"}], "name": "rounds", "outputs":[{"internalType": "uint256", "name": "epoch", "type": "uint256"}, {"internalType": "uint256", "name": "startTimestamp", "type": "uint256"}, {"internalType": "uint256", "name": "lockTimestamp", "type": "uint256"}, {"internalType": "uint256", "name": "closeTimestamp", "type": "uint256"}, {"internalType": "int256", "name": "lockPrice", "type": "int256"}, {"internalType": "int256", "name": "closePrice", "type": "int256"}, {"internalType": "uint256", "name": "lockOracleId", "type": "uint256"}, {"internalType": "uint256", "name": "closeOracleId", "type": "uint256"}, {"internalType": "uint256", "name": "totalAmount", "type": "uint256"}, {"internalType": "uint256", "name": "bullAmount", "type": "uint256"}, {"internalType": "uint256", "name": "bearAmount", "type": "uint256"}, {"internalType": "uint256", "name": "rewardBaseCalAmount", "type": "uint256"}, {"internalType": "uint256", "name": "rewardAmount", "type": "uint256"}, {"internalType": "bool", "name": "oracleCalled", "type": "bool"}], "stateMutability": "view", "type": "function"}, {"inputs":[{"internalType": "address", "name": "_adminAddress", "type": "address"}], "name": "setAdmin", "outputs":[], "stateMutability": "nonpayable", "type": "function"}, {"inputs":[{"internalType": "uint256", "name": "_bufferSeconds", "type": "uint256"}, {"internalType": "uint256", "name": "_intervalSeconds", "type": "uint256"}], "name": "setBufferAndIntervalSeconds", "outputs":[], "stateMutability": "nonpayable", "type": "function"}, {"inputs":[{"internalType": "uint256", "name": "_minBetAmount", "type": "uint256"}], "name": "setMinBetAmount", "outputs":[], "stateMutability": "nonpayable", "type": "function"}, {"inputs":[{"internalType": "address", "name": "_operatorAddress", "type": "address"}], "name": "setOperator", "outputs":[], "stateMutability": "nonpayable", "type": "function"}, {"inputs":[{"internalType": "address", "name": "_oracle", "type": "address"}], "name": "setOracle", "outputs":[], "stateMutability": "nonpayable", "type": "function"}, {"inputs":[{"internalType": "uint256", "name": "_oracleUpdateAllowance", "type": "uint256"}], "name": "setOracleUpdateAllowance", "outputs":[], "stateMutability": "nonpayable", "type": "function"}, {"inputs":[{"internalType": "uint256", "name": "_treasuryFee", "type": "uint256"}], "name": "setTreasuryFee", "outputs":[], "stateMutability": "nonpayable", "type": "function"}, {"inputs":[{"internalType": "address", "name": "newOwner", "type": "address"}], "name": "transferOwnership", "outputs":[], "stateMutability": "nonpayable", "type": "function"}, {"inputs":[], "name": "treasuryAmount", "outputs":[{"internalType": "uint256", "name": "", "type": "uint256"}], "stateMutability": "view", "type": "function"}, {"inputs":[], "name": "treasuryFee", "outputs":[{"internalType": "uint256", "name": "", "type": "uint256"}], "stateMutability": "view", "type": "function"}, {"inputs":[], "name": "unpause", "outputs":[], "stateMutability": "nonpayable", "type": "function"}, {"inputs":[{"internalType": "address", "name": "", "type": "address"}, {"internalType": "uint256", "name": "", "type": "uint256"}], "name": "userRounds", "outputs":[{"internalType": "uint256", "name": "", "type": "uint256"}], "stateMutability": "view", "type": "function"}]

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86bb0bc61f8e401a97ee362eae72182a14307212

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py

Python

data.py

mojib33/mojib33

adc7d35eea629adb4c2e508fb467abf4822cb5a8

[ "MIT" ]

null

data.py

mojib33/mojib33

adc7d35eea629adb4c2e508fb467abf4822cb5a8

[ "MIT" ]

null

data.py

mojib33/mojib33

adc7d35eea629adb4c2e508fb467abf4822cb5a8

[ "MIT" ]

null

# Encoded By PyEncryptor # A Product Of ToxicNoob # https://github.com/Toxic-Noob import marshal import base64 import zlib exec(marshal.loads(zlib.decompress(base64.b64decode(b'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Python

fonts/mirov968_8x14.py

ccccmagicboy/st7735_mpy

b15f1bde69fbe6e0eb4931c57e71c136d8e7f024

[ "MIT" ]

6

2020-07-11T16:59:19.000Z

2021-07-16T19:32:49.000Z

ports/esp32/user_modules/st7735_mpy/fonts/mirov968_8x14.py

d4niele/micropython

a1f7b37d392bf46b28045ce215ae899fda8d8c38

[ "MIT" ]

1

2020-04-14T03:14:45.000Z

fonts/mirov968_8x14.py

ccccmagicboy/st7735_mpy

b15f1bde69fbe6e0eb4931c57e71c136d8e7f024

[ "MIT" ]

null

"""converted from ..\fonts\MIROV968_8x14.bin """ WIDTH = 8 HEIGHT = 14 FIRST = 0x20 LAST = 0x7f _FONT =\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x18\x3c\x3c\x3c\x18\x18\x00\x18\x18\x00\x00\x00'\ b'\x00\x66\x66\x66\x24\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x6c\x6c\xfe\x6c\x6c\x6c\xfe\x6c\x6c\x00\x00\x00'\ b'\x18\x18\x7c\xc6\xc2\xc0\x7c\x06\x86\xc6\x7c\x18\x18\x00'\ b'\x00\x00\x00\x00\xc2\xc6\x0c\x18\x30\x66\xc6\x00\x00\x00'\ b'\x00\x00\x38\x6c\x6c\x38\x76\xdc\xcc\xcc\x76\x00\x00\x00'\ b'\x00\x30\x30\x30\x60\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x0c\x18\x30\x30\x30\x30\x30\x18\x0c\x00\x00\x00'\ b'\x00\x00\x30\x18\x0c\x0c\x0c\x0c\x0c\x18\x30\x00\x00\x00'\ b'\x00\x00\x00\x00\x66\x3c\xff\x3c\x66\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x18\x18\x7e\x18\x18\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x18\x18\x18\x30\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\xfe\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x18\x18\x00\x00\x00'\ b'\x00\x00\x02\x06\x0c\x18\x30\x60\xc0\x80\x00\x00\x00\x00'\ b'\x00\x00\x7c\xc6\xce\xde\xf6\xe6\xc6\xc6\x7c\x00\x00\x00'\ b'\x00\x00\x18\x38\x78\x18\x18\x18\x18\x18\x7e\x00\x00\x00'\ b'\x00\x00\x7c\xc6\x06\x0c\x18\x30\x60\xc6\xfe\x00\x00\x00'\ b'\x00\x00\x7c\xc6\x06\x06\x3c\x06\x06\xc6\x7c\x00\x00\x00'\ b'\x00\x00\x0c\x1c\x3c\x6c\xcc\xfe\x0c\x0c\x1e\x00\x00\x00'\ b'\x00\x00\xfe\xc0\xc0\xfc\x0e\x06\x06\xc6\x7c\x00\x00\x00'\ b'\x00\x00\x38\x60\xc0\xc0\xfc\xc6\xc6\xc6\x7c\x00\x00\x00'\ b'\x00\x00\xfe\xc6\x06\x0c\x18\x30\x30\x30\x30\x00\x00\x00'\ b'\x00\x00\x7c\xc6\xc6\xc6\x7c\xc6\xc6\xc6\x7c\x00\x00\x00'\ b'\x00\x00\x7c\xc6\xc6\xc6\x7e\x06\x06\x0c\x78\x00\x00\x00'\ b'\x00\x00\x00\x18\x18\x00\x00\x00\x18\x18\x00\x00\x00\x00'\ b'\x00\x00\x00\x18\x18\x00\x00\x00\x18\x18\x30\x00\x00\x00'\ b'\x00\x00\x06\x0c\x18\x30\x60\x30\x18\x0c\x06\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\xfe\x00\x00\xfe\x00\x00\x00\x00\x00'\ b'\x00\x00\x60\x30\x18\x0c\x06\x0c\x18\x30\x60\x00\x00\x00'\ b'\x00\x00\x7c\xc6\xc6\x0c\x18\x18\x00\x18\x18\x00\x00\x00'\ b'\x00\x00\x7c\xc6\xc6\xde\xde\xde\xdc\xc0\x7c\x00\x00\x00'\ b'\x00\x00\x10\x38\x6c\xc6\xc6\xfe\xc6\xc6\xc6\x00\x00\x00'\ b'\x00\x00\xfc\x66\x66\x66\x7c\x66\x66\x66\xfc\x00\x00\x00'\ b'\x00\x00\x3c\x66\xc2\xc0\xc0\xc0\xc2\x66\x3c\x00\x00\x00'\ b'\x00\x00\xf8\x6c\x66\x66\x66\x66\x66\x6c\xf8\x00\x00\x00'\ b'\x00\x00\xfe\x66\x62\x68\x78\x68\x62\x66\xfe\x00\x00\x00'\ b'\x00\x00\xfe\x66\x62\x68\x78\x68\x60\x60\xf0\x00\x00\x00'\ b'\x00\x00\x3c\x66\xc2\xc0\xc0\xde\xc6\x66\x3a\x00\x00\x00'\ b'\x00\x00\xc6\xc6\xc6\xc6\xfe\xc6\xc6\xc6\xc6\x00\x00\x00'\ b'\x00\x00\x3c\x18\x18\x18\x18\x18\x18\x18\x3c\x00\x00\x00'\ b'\x00\x00\x1e\x0c\x0c\x0c\x0c\x0c\xcc\xcc\x78\x00\x00\x00'\ b'\x00\x00\xe6\x66\x6c\x6c\x78\x6c\x6c\x66\xe6\x00\x00\x00'\ b'\x00\x00\xf0\x60\x60\x60\x60\x60\x62\x66\xfe\x00\x00\x00'\ b'\x00\x00\xc6\xee\xfe\xfe\xd6\xc6\xc6\xc6\xc6\x00\x00\x00'\ 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b'\x00\x00\x00\x00\x00\xdc\x66\x66\x66\x66\x66\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x7c\xc6\xc6\xc6\xc6\x7c\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\xdc\x66\x66\x66\x7c\x60\x60\xf0\x00'\ b'\x00\x00\x00\x00\x00\x76\xcc\xcc\xcc\x7c\x0c\x0c\x1e\x00'\ b'\x00\x00\x00\x00\x00\xdc\x76\x62\x60\x60\xf0\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x7c\xc6\x70\x1c\xc6\x7c\x00\x00\x00'\ b'\x00\x00\x10\x30\x30\xfc\x30\x30\x30\x36\x1c\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\xcc\xcc\xcc\xcc\xcc\x76\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x66\x66\x66\x66\x3c\x18\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\xc6\xc6\xd6\xd6\xfe\x6c\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\xc6\x6c\x38\x38\x6c\xc6\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\xc6\xc6\xc6\xc6\x7e\x06\x0c\xf8\x00'\ b'\x00\x00\x00\x00\x00\xfe\xcc\x18\x30\x66\xfe\x00\x00\x00'\ b'\x00\x00\x0e\x18\x18\x18\x70\x18\x18\x18\x0e\x00\x00\x00'\ b'\x00\x00\x18\x18\x18\x18\x00\x18\x18\x18\x18\x00\x00\x00'\ b'\x00\x00\x70\x18\x18\x18\x0e\x18\x18\x18\x70\x00\x00\x00'\ b'\x00\x00\x76\xdc\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x10\x38\x6c\xc6\xc6\xfe\x00\x00\x00\x00'\ FONT = memoryview(_FONT)

57.019048

60

0.704359

1,458

5,987

2.890261

0.044582

0.598007

0.508306

0.344566

0.82131

0.746084

0.701234

0.648315

0.54224

0.415282

0

0.378429

0.019709

5,987

104

61

57.567308

0.339581

0.006681

0

0.941176

0.905203

0

1

0.001347

0

1

0

false

0

null

1

0

1

0

1

0

1

null

1

0

12

86e4f986b5019c8f3e475557ebbcb225821e7f56

113

py

Python

python/slack/slack.py

simukappu/sample-lambda-layers

ae55807a3972cf7d4251b532ca673710f5d4a2d3

[ "Apache-2.0" ]

null

python/slack/slack.py

simukappu/sample-lambda-layers

ae55807a3972cf7d4251b532ca673710f5d4a2d3

[ "Apache-2.0" ]

null

python/slack/slack.py

simukappu/sample-lambda-layers

ae55807a3972cf7d4251b532ca673710f5d4a2d3

[ "Apache-2.0" ]

null

import requests def publish_message(slack_web_hook_url, data): requests.post(slack_web_hook_url, data = data)

22.6

48

0.814159

18

113

4.722222

0.611111

0.188235

0.282353

0.352941

0.447059

0

0.106195

113

4

49

28.25

0.841584

0

1

0.333333

false

0

0.333333

0

0.666667

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

7

86f8b7b46dcdeb4f1360ff70cf3659be0871eea4

7

py

Python

lesson02/t/index06.py

liulxin/python3-demos

b05078f336fd1d6044cb9eaffd45826bd4a1479f

[ "MIT" ]

null

lesson02/t/index06.py

liulxin/python3-demos

b05078f336fd1d6044cb9eaffd45826bd4a1479f

[ "MIT" ]

null

lesson02/t/index06.py

liulxin/python3-demos

b05078f336fd1d6044cb9eaffd45826bd4a1479f

[ "MIT" ]

null

a = 1

3.5

6

0.285714

2

7

1

0

0.333333

0.571429

7

1

7

0.333333

0

1

0

false

0

1

null

0

1

0

1

0

1

0

null

0

7

d48e81643b8a82cedff2bbce74239f5ade0ac06a

44,329

py

Python

src/py/genpy/keyset/ElephantDBSet.py

yieldbot/elephantdb

07acf9ef46f9287cdfc34e06b55eb38292fb9154

[ "BSD-3-Clause" ]

1

2015-12-07T22:36:47.000Z

src/py/genpy/keyset/ElephantDBSet.py

yieldbot/elephantdb

07acf9ef46f9287cdfc34e06b55eb38292fb9154

[ "BSD-3-Clause" ]

null

src/py/genpy/keyset/ElephantDBSet.py

yieldbot/elephantdb

07acf9ef46f9287cdfc34e06b55eb38292fb9154

[ "BSD-3-Clause" ]

null

# # Autogenerated by Thrift Compiler (0.8.0) # # DO NOT EDIT UNLESS YOU ARE SURE THAT YOU KNOW WHAT YOU ARE DOING # # options string: py:utf8strings # from thrift.Thrift import TType, TMessageType, TException import elephantdb.ElephantDBShared from ttypes import * from thrift.Thrift import TProcessor from thrift.transport import TTransport from thrift.protocol import TBinaryProtocol, TProtocol try: from thrift.protocol import fastbinary except: fastbinary = None class Iface(elephantdb.ElephantDBShared.Iface): def member(self, domain, setKey, member): """ Parameters: - domain - setKey - member """ pass def members(self, domain, setKey): """ Parameters: - domain - setKey """ pass def setDiff(self, domain, keyOne, keyTwo): """ Parameters: - domain - keyOne - keyTwo """ pass def setUnion(self, domain, keyOne, keyTwo): """ Parameters: - domain - keyOne - keyTwo """ pass def setIntersection(self, domain, keyOne, keyTwo): """ Parameters: - domain - keyOne - keyTwo """ pass def size(self, domain, key): """ Parameters: - domain - key """ pass def multiMember(self, domain, setKey, setVals): """ Parameters: - domain - setKey - setVals """ pass class Client(elephantdb.ElephantDBShared.Client, Iface): def __init__(self, iprot, oprot=None): elephantdb.ElephantDBShared.Client.__init__(self, iprot, oprot) def member(self, domain, setKey, member): """ Parameters: - domain - setKey - member """ self.send_member(domain, setKey, member) return self.recv_member() def send_member(self, domain, setKey, member): self._oprot.writeMessageBegin('member', TMessageType.CALL, self._seqid) args = member_args() args.domain = domain args.setKey = setKey args.member = member args.write(self._oprot) self._oprot.writeMessageEnd() self._oprot.trans.flush() def recv_member(self, ): (fname, mtype, rseqid) = self._iprot.readMessageBegin() if mtype == TMessageType.EXCEPTION: x = TApplicationException() x.read(self._iprot) self._iprot.readMessageEnd() raise x result = member_result() result.read(self._iprot) self._iprot.readMessageEnd() if result.success is not None: return result.success raise TApplicationException(TApplicationException.MISSING_RESULT, "member failed: unknown result"); def members(self, domain, setKey): """ Parameters: - domain - setKey """ self.send_members(domain, setKey) return self.recv_members() def send_members(self, domain, setKey): self._oprot.writeMessageBegin('members', TMessageType.CALL, self._seqid) args = members_args() args.domain = domain args.setKey = setKey args.write(self._oprot) self._oprot.writeMessageEnd() self._oprot.trans.flush() def recv_members(self, ): (fname, mtype, rseqid) = self._iprot.readMessageBegin() if mtype == TMessageType.EXCEPTION: x = TApplicationException() x.read(self._iprot) self._iprot.readMessageEnd() raise x result = members_result() result.read(self._iprot) self._iprot.readMessageEnd() if result.success is not None: return result.success raise TApplicationException(TApplicationException.MISSING_RESULT, "members failed: unknown result"); def setDiff(self, domain, keyOne, keyTwo): """ Parameters: - domain - keyOne - keyTwo """ self.send_setDiff(domain, keyOne, keyTwo) return self.recv_setDiff() def send_setDiff(self, domain, keyOne, keyTwo): self._oprot.writeMessageBegin('setDiff', TMessageType.CALL, self._seqid) args = setDiff_args() args.domain = domain args.keyOne = keyOne args.keyTwo = keyTwo args.write(self._oprot) self._oprot.writeMessageEnd() self._oprot.trans.flush() def recv_setDiff(self, ): (fname, mtype, rseqid) = self._iprot.readMessageBegin() if mtype == TMessageType.EXCEPTION: x = TApplicationException() x.read(self._iprot) self._iprot.readMessageEnd() raise x result = setDiff_result() result.read(self._iprot) self._iprot.readMessageEnd() if result.success is not None: return result.success raise TApplicationException(TApplicationException.MISSING_RESULT, "setDiff failed: unknown result"); def setUnion(self, domain, keyOne, keyTwo): """ Parameters: - domain - keyOne - keyTwo """ self.send_setUnion(domain, keyOne, keyTwo) return self.recv_setUnion() def send_setUnion(self, domain, keyOne, keyTwo): self._oprot.writeMessageBegin('setUnion', TMessageType.CALL, self._seqid) args = setUnion_args() args.domain = domain args.keyOne = keyOne args.keyTwo = keyTwo args.write(self._oprot) self._oprot.writeMessageEnd() self._oprot.trans.flush() def recv_setUnion(self, ): (fname, mtype, rseqid) = self._iprot.readMessageBegin() if mtype == TMessageType.EXCEPTION: x = TApplicationException() x.read(self._iprot) self._iprot.readMessageEnd() raise x result = setUnion_result() result.read(self._iprot) self._iprot.readMessageEnd() if result.success is not None: return result.success raise TApplicationException(TApplicationException.MISSING_RESULT, "setUnion failed: unknown result"); def setIntersection(self, domain, keyOne, keyTwo): """ Parameters: - domain - keyOne - keyTwo """ self.send_setIntersection(domain, keyOne, keyTwo) return self.recv_setIntersection() def send_setIntersection(self, domain, keyOne, keyTwo): self._oprot.writeMessageBegin('setIntersection', TMessageType.CALL, self._seqid) args = setIntersection_args() args.domain = domain args.keyOne = keyOne args.keyTwo = keyTwo args.write(self._oprot) self._oprot.writeMessageEnd() self._oprot.trans.flush() def recv_setIntersection(self, ): (fname, mtype, rseqid) = self._iprot.readMessageBegin() if mtype == TMessageType.EXCEPTION: x = TApplicationException() x.read(self._iprot) self._iprot.readMessageEnd() raise x result = setIntersection_result() result.read(self._iprot) self._iprot.readMessageEnd() if result.success is not None: return result.success raise TApplicationException(TApplicationException.MISSING_RESULT, "setIntersection failed: unknown result"); def size(self, domain, key): """ Parameters: - domain - key """ self.send_size(domain, key) return self.recv_size() def send_size(self, domain, key): self._oprot.writeMessageBegin('size', TMessageType.CALL, self._seqid) args = size_args() args.domain = domain args.key = key args.write(self._oprot) self._oprot.writeMessageEnd() self._oprot.trans.flush() def recv_size(self, ): (fname, mtype, rseqid) = self._iprot.readMessageBegin() if mtype == TMessageType.EXCEPTION: x = TApplicationException() x.read(self._iprot) self._iprot.readMessageEnd() raise x result = size_result() result.read(self._iprot) self._iprot.readMessageEnd() if result.success is not None: return result.success raise TApplicationException(TApplicationException.MISSING_RESULT, "size failed: unknown result"); def multiMember(self, domain, setKey, setVals): """ Parameters: - domain - setKey - setVals """ self.send_multiMember(domain, setKey, setVals) return self.recv_multiMember() def send_multiMember(self, domain, setKey, setVals): self._oprot.writeMessageBegin('multiMember', TMessageType.CALL, self._seqid) args = multiMember_args() args.domain = domain args.setKey = setKey args.setVals = setVals args.write(self._oprot) self._oprot.writeMessageEnd() self._oprot.trans.flush() def recv_multiMember(self, ): (fname, mtype, rseqid) = self._iprot.readMessageBegin() if mtype == TMessageType.EXCEPTION: x = TApplicationException() x.read(self._iprot) self._iprot.readMessageEnd() raise x result = multiMember_result() result.read(self._iprot) self._iprot.readMessageEnd() if result.success is not None: return result.success raise TApplicationException(TApplicationException.MISSING_RESULT, "multiMember failed: unknown result"); class Processor(elephantdb.ElephantDBShared.Processor, Iface, TProcessor): def __init__(self, handler): elephantdb.ElephantDBShared.Processor.__init__(self, handler) self._processMap["member"] = Processor.process_member self._processMap["members"] = Processor.process_members self._processMap["setDiff"] = Processor.process_setDiff self._processMap["setUnion"] = Processor.process_setUnion self._processMap["setIntersection"] = Processor.process_setIntersection self._processMap["size"] = Processor.process_size self._processMap["multiMember"] = Processor.process_multiMember def process(self, iprot, oprot): (name, type, seqid) = iprot.readMessageBegin() if name not in self._processMap: iprot.skip(TType.STRUCT) iprot.readMessageEnd() x = TApplicationException(TApplicationException.UNKNOWN_METHOD, 'Unknown function %s' % (name)) oprot.writeMessageBegin(name, TMessageType.EXCEPTION, seqid) x.write(oprot) oprot.writeMessageEnd() oprot.trans.flush() return else: self._processMap[name](self, seqid, iprot, oprot) return True def process_member(self, seqid, iprot, oprot): args = member_args() args.read(iprot) iprot.readMessageEnd() result = member_result() result.success = self._handler.member(args.domain, args.setKey, args.member) oprot.writeMessageBegin("member", TMessageType.REPLY, seqid) result.write(oprot) oprot.writeMessageEnd() oprot.trans.flush() def process_members(self, seqid, iprot, oprot): args = members_args() args.read(iprot) iprot.readMessageEnd() result = members_result() result.success = self._handler.members(args.domain, args.setKey) oprot.writeMessageBegin("members", TMessageType.REPLY, seqid) result.write(oprot) oprot.writeMessageEnd() oprot.trans.flush() def process_setDiff(self, seqid, iprot, oprot): args = setDiff_args() args.read(iprot) iprot.readMessageEnd() result = setDiff_result() result.success = self._handler.setDiff(args.domain, args.keyOne, args.keyTwo) oprot.writeMessageBegin("setDiff", TMessageType.REPLY, seqid) result.write(oprot) oprot.writeMessageEnd() oprot.trans.flush() def process_setUnion(self, seqid, iprot, oprot): args = setUnion_args() args.read(iprot) iprot.readMessageEnd() result = setUnion_result() result.success = self._handler.setUnion(args.domain, args.keyOne, args.keyTwo) oprot.writeMessageBegin("setUnion", TMessageType.REPLY, seqid) result.write(oprot) oprot.writeMessageEnd() oprot.trans.flush() def process_setIntersection(self, seqid, iprot, oprot): args = setIntersection_args() args.read(iprot) iprot.readMessageEnd() result = setIntersection_result() result.success = self._handler.setIntersection(args.domain, args.keyOne, args.keyTwo) oprot.writeMessageBegin("setIntersection", TMessageType.REPLY, seqid) result.write(oprot) oprot.writeMessageEnd() oprot.trans.flush() def process_size(self, seqid, iprot, oprot): args = size_args() args.read(iprot) iprot.readMessageEnd() result = size_result() result.success = self._handler.size(args.domain, args.key) oprot.writeMessageBegin("size", TMessageType.REPLY, seqid) result.write(oprot) oprot.writeMessageEnd() oprot.trans.flush() def process_multiMember(self, seqid, iprot, oprot): args = multiMember_args() args.read(iprot) iprot.readMessageEnd() result = multiMember_result() result.success = self._handler.multiMember(args.domain, args.setKey, args.setVals) oprot.writeMessageBegin("multiMember", TMessageType.REPLY, seqid) result.write(oprot) oprot.writeMessageEnd() oprot.trans.flush() # HELPER FUNCTIONS AND STRUCTURES class member_args: """ Attributes: - domain - setKey - member """ thrift_spec = ( None, # 0 (1, TType.STRING, 'domain', None, None, ), # 1 (2, TType.STRING, 'setKey', None, None, ), # 2 (3, TType.STRING, 'member', None, None, ), # 3 ) def __init__(self, domain=None, setKey=None, member=None,): self.domain = domain self.setKey = setKey self.member = member def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRING: self.domain = iprot.readString().decode('utf-8') else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRING: self.setKey = iprot.readString().decode('utf-8') else: iprot.skip(ftype) elif fid == 3: if ftype == TType.STRING: self.member = iprot.readString().decode('utf-8') else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('member_args') if self.domain is not None: oprot.writeFieldBegin('domain', TType.STRING, 1) oprot.writeString(self.domain.encode('utf-8')) oprot.writeFieldEnd() if self.setKey is not None: oprot.writeFieldBegin('setKey', TType.STRING, 2) oprot.writeString(self.setKey.encode('utf-8')) oprot.writeFieldEnd() if self.member is not None: oprot.writeFieldBegin('member', TType.STRING, 3) oprot.writeString(self.member.encode('utf-8')) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.iteritems()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class member_result: """ Attributes: - success """ thrift_spec = ( (0, TType.BOOL, 'success', None, None, ), # 0 ) def __init__(self, success=None,): self.success = success def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 0: if ftype == TType.BOOL: self.success = iprot.readBool(); else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('member_result') if self.success is not None: oprot.writeFieldBegin('success', TType.BOOL, 0) oprot.writeBool(self.success) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.iteritems()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class members_args: """ Attributes: - domain - setKey """ thrift_spec = ( None, # 0 (1, TType.STRING, 'domain', None, None, ), # 1 (2, TType.STRING, 'setKey', None, None, ), # 2 ) def __init__(self, domain=None, setKey=None,): self.domain = domain self.setKey = setKey def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRING: self.domain = iprot.readString().decode('utf-8') else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRING: self.setKey = iprot.readString().decode('utf-8') else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('members_args') if self.domain is not None: oprot.writeFieldBegin('domain', TType.STRING, 1) oprot.writeString(self.domain.encode('utf-8')) oprot.writeFieldEnd() if self.setKey is not None: oprot.writeFieldBegin('setKey', TType.STRING, 2) oprot.writeString(self.setKey.encode('utf-8')) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.iteritems()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class members_result: """ Attributes: - success """ thrift_spec = ( (0, TType.BOOL, 'success', None, None, ), # 0 ) def __init__(self, success=None,): self.success = success def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 0: if ftype == TType.BOOL: self.success = iprot.readBool(); else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('members_result') if self.success is not None: oprot.writeFieldBegin('success', TType.BOOL, 0) oprot.writeBool(self.success) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.iteritems()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class setDiff_args: """ Attributes: - domain - keyOne - keyTwo """ thrift_spec = ( None, # 0 (1, TType.STRING, 'domain', None, None, ), # 1 (2, TType.STRING, 'keyOne', None, None, ), # 2 (3, TType.STRING, 'keyTwo', None, None, ), # 3 ) def __init__(self, domain=None, keyOne=None, keyTwo=None,): self.domain = domain self.keyOne = keyOne self.keyTwo = keyTwo def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRING: self.domain = iprot.readString().decode('utf-8') else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRING: self.keyOne = iprot.readString().decode('utf-8') else: iprot.skip(ftype) elif fid == 3: if ftype == TType.STRING: self.keyTwo = iprot.readString().decode('utf-8') else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('setDiff_args') if self.domain is not None: oprot.writeFieldBegin('domain', TType.STRING, 1) oprot.writeString(self.domain.encode('utf-8')) oprot.writeFieldEnd() if self.keyOne is not None: oprot.writeFieldBegin('keyOne', TType.STRING, 2) oprot.writeString(self.keyOne.encode('utf-8')) oprot.writeFieldEnd() if self.keyTwo is not None: oprot.writeFieldBegin('keyTwo', TType.STRING, 3) oprot.writeString(self.keyTwo.encode('utf-8')) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.iteritems()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class setDiff_result: """ Attributes: - success """ thrift_spec = ( (0, TType.LIST, 'success', (TType.STRING,None), None, ), # 0 ) def __init__(self, success=None,): self.success = success def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 0: if ftype == TType.LIST: self.success = [] (_etype3, _size0) = iprot.readListBegin() for _i4 in xrange(_size0): _elem5 = iprot.readString().decode('utf-8') self.success.append(_elem5) iprot.readListEnd() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('setDiff_result') if self.success is not None: oprot.writeFieldBegin('success', TType.LIST, 0) oprot.writeListBegin(TType.STRING, len(self.success)) for iter6 in self.success: oprot.writeString(iter6.encode('utf-8')) oprot.writeListEnd() oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.iteritems()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class setUnion_args: """ Attributes: - domain - keyOne - keyTwo """ thrift_spec = ( None, # 0 (1, TType.STRING, 'domain', None, None, ), # 1 (2, TType.STRING, 'keyOne', None, None, ), # 2 (3, TType.STRING, 'keyTwo', None, None, ), # 3 ) def __init__(self, domain=None, keyOne=None, keyTwo=None,): self.domain = domain self.keyOne = keyOne self.keyTwo = keyTwo def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRING: self.domain = iprot.readString().decode('utf-8') else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRING: self.keyOne = iprot.readString().decode('utf-8') else: iprot.skip(ftype) elif fid == 3: if ftype == TType.STRING: self.keyTwo = iprot.readString().decode('utf-8') else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('setUnion_args') if self.domain is not None: oprot.writeFieldBegin('domain', TType.STRING, 1) oprot.writeString(self.domain.encode('utf-8')) oprot.writeFieldEnd() if self.keyOne is not None: oprot.writeFieldBegin('keyOne', TType.STRING, 2) oprot.writeString(self.keyOne.encode('utf-8')) oprot.writeFieldEnd() if self.keyTwo is not None: oprot.writeFieldBegin('keyTwo', TType.STRING, 3) oprot.writeString(self.keyTwo.encode('utf-8')) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.iteritems()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class setUnion_result: """ Attributes: - success """ thrift_spec = ( (0, TType.LIST, 'success', (TType.STRING,None), None, ), # 0 ) def __init__(self, success=None,): self.success = success def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 0: if ftype == TType.LIST: self.success = [] (_etype10, _size7) = iprot.readListBegin() for _i11 in xrange(_size7): _elem12 = iprot.readString().decode('utf-8') self.success.append(_elem12) iprot.readListEnd() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('setUnion_result') if self.success is not None: oprot.writeFieldBegin('success', TType.LIST, 0) oprot.writeListBegin(TType.STRING, len(self.success)) for iter13 in self.success: oprot.writeString(iter13.encode('utf-8')) oprot.writeListEnd() oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.iteritems()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class setIntersection_args: """ Attributes: - domain - keyOne - keyTwo """ thrift_spec = ( None, # 0 (1, TType.STRING, 'domain', None, None, ), # 1 (2, TType.STRING, 'keyOne', None, None, ), # 2 (3, TType.STRING, 'keyTwo', None, None, ), # 3 ) def __init__(self, domain=None, keyOne=None, keyTwo=None,): self.domain = domain self.keyOne = keyOne self.keyTwo = keyTwo def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRING: self.domain = iprot.readString().decode('utf-8') else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRING: self.keyOne = iprot.readString().decode('utf-8') else: iprot.skip(ftype) elif fid == 3: if ftype == TType.STRING: self.keyTwo = iprot.readString().decode('utf-8') else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('setIntersection_args') if self.domain is not None: oprot.writeFieldBegin('domain', TType.STRING, 1) oprot.writeString(self.domain.encode('utf-8')) oprot.writeFieldEnd() if self.keyOne is not None: oprot.writeFieldBegin('keyOne', TType.STRING, 2) oprot.writeString(self.keyOne.encode('utf-8')) oprot.writeFieldEnd() if self.keyTwo is not None: oprot.writeFieldBegin('keyTwo', TType.STRING, 3) oprot.writeString(self.keyTwo.encode('utf-8')) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.iteritems()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class setIntersection_result: """ Attributes: - success """ thrift_spec = ( (0, TType.LIST, 'success', (TType.STRING,None), None, ), # 0 ) def __init__(self, success=None,): self.success = success def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 0: if ftype == TType.LIST: self.success = [] (_etype17, _size14) = iprot.readListBegin() for _i18 in xrange(_size14): _elem19 = iprot.readString().decode('utf-8') self.success.append(_elem19) iprot.readListEnd() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('setIntersection_result') if self.success is not None: oprot.writeFieldBegin('success', TType.LIST, 0) oprot.writeListBegin(TType.STRING, len(self.success)) for iter20 in self.success: oprot.writeString(iter20.encode('utf-8')) oprot.writeListEnd() oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.iteritems()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class size_args: """ Attributes: - domain - key """ thrift_spec = ( None, # 0 (1, TType.STRING, 'domain', None, None, ), # 1 (2, TType.STRING, 'key', None, None, ), # 2 ) def __init__(self, domain=None, key=None,): self.domain = domain self.key = key def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRING: self.domain = iprot.readString().decode('utf-8') else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRING: self.key = iprot.readString().decode('utf-8') else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('size_args') if self.domain is not None: oprot.writeFieldBegin('domain', TType.STRING, 1) oprot.writeString(self.domain.encode('utf-8')) oprot.writeFieldEnd() if self.key is not None: oprot.writeFieldBegin('key', TType.STRING, 2) oprot.writeString(self.key.encode('utf-8')) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.iteritems()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class size_result: """ Attributes: - success """ thrift_spec = ( (0, TType.I64, 'success', None, None, ), # 0 ) def __init__(self, success=None,): self.success = success def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 0: if ftype == TType.I64: self.success = iprot.readI64(); else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('size_result') if self.success is not None: oprot.writeFieldBegin('success', TType.I64, 0) oprot.writeI64(self.success) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.iteritems()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class multiMember_args: """ Attributes: - domain - setKey - setVals """ thrift_spec = ( None, # 0 (1, TType.STRING, 'domain', None, None, ), # 1 (2, TType.STRING, 'setKey', None, None, ), # 2 (3, TType.LIST, 'setVals', (TType.STRING,None), None, ), # 3 ) def __init__(self, domain=None, setKey=None, setVals=None,): self.domain = domain self.setKey = setKey self.setVals = setVals def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRING: self.domain = iprot.readString().decode('utf-8') else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRING: self.setKey = iprot.readString().decode('utf-8') else: iprot.skip(ftype) elif fid == 3: if ftype == TType.LIST: self.setVals = [] (_etype24, _size21) = iprot.readListBegin() for _i25 in xrange(_size21): _elem26 = iprot.readString().decode('utf-8') self.setVals.append(_elem26) iprot.readListEnd() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('multiMember_args') if self.domain is not None: oprot.writeFieldBegin('domain', TType.STRING, 1) oprot.writeString(self.domain.encode('utf-8')) oprot.writeFieldEnd() if self.setKey is not None: oprot.writeFieldBegin('setKey', TType.STRING, 2) oprot.writeString(self.setKey.encode('utf-8')) oprot.writeFieldEnd() if self.setVals is not None: oprot.writeFieldBegin('setVals', TType.LIST, 3) oprot.writeListBegin(TType.STRING, len(self.setVals)) for iter27 in self.setVals: oprot.writeString(iter27.encode('utf-8')) oprot.writeListEnd() oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.iteritems()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class multiMember_result: """ Attributes: - success """ thrift_spec = ( (0, TType.LIST, 'success', (TType.STRUCT,(elephantdb.ttypes.Value, elephantdb.ttypes.Value.thrift_spec)), None, ), # 0 ) def __init__(self, success=None,): self.success = success def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 0: if ftype == TType.LIST: self.success = [] (_etype31, _size28) = iprot.readListBegin() for _i32 in xrange(_size28): _elem33 = elephantdb.ttypes.Value() _elem33.read(iprot) self.success.append(_elem33) iprot.readListEnd() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('multiMember_result') if self.success is not None: oprot.writeFieldBegin('success', TType.LIST, 0) oprot.writeListBegin(TType.STRUCT, len(self.success)) for iter34 in self.success: iter34.write(oprot) oprot.writeListEnd() oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.iteritems()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other)

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be14f860689aa4182b3ccc3696f7abb270c577bb

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py

Python

msgraph/cli/command_modules/applications/azext_applications/generated/custom.py

microsoftgraph/msgraph-cli-archived

489f70bf4ede1ce67b84bfb31e66da3e4db76062

[ "MIT" ]

null

msgraph/cli/command_modules/applications/azext_applications/generated/custom.py

microsoftgraph/msgraph-cli-archived

489f70bf4ede1ce67b84bfb31e66da3e4db76062

[ "MIT" ]

22

2022-03-29T22:54:37.000Z

2022-03-29T22:55:27.000Z

msgraph/cli/command_modules/applications/azext_applications/generated/custom.py

microsoftgraph/msgraph-cli-archived

489f70bf4ede1ce67b84bfb31e66da3e4db76062

[ "MIT" ]

null

# -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is # regenerated. # -------------------------------------------------------------------------- # pylint: disable=line-too-long # pylint: disable=too-many-lines def applications_application_list(client, orderby=None, select=None, expand=None): return client.list_application(orderby=orderby, select=select, expand=expand) def applications_application_create(client, application_id=None, id_=None, deleted_date_time=None, add_ins=None, app_id=None, application_template_id=None, app_roles=None, created_date_time=None, description=None, display_name=None, group_membership_claims=None, identifier_uris=None, info=None, is_device_only_auth_supported=None, is_fallback_public_client=None, key_credentials=None, logo=None, notes=None, oauth2_require_post_response=None, parental_control_settings=None, password_credentials=None, public_client=None, publisher_domain=None, required_resource_access=None, sign_in_audience=None, tags=None, token_encryption_key_id=None, created_on_behalf_of=None, extension_properties=None, home_realm_discovery_policies=None, owners=None, token_issuance_policies=None, token_lifetime_policies=None, home_page_url=None, implicit_grant_settings=None, logout_url=None, redirect_uris=None, access_token=None, id_token=None, saml2_token=None, accept_mapped_claims=None, known_client_applications=None, oauth2_permission_scopes=None, pre_authorized_applications=None, requested_access_token_version=None): body = {} body['id'] = id_ body['deleted_date_time'] = deleted_date_time body['add_ins'] = add_ins body['app_id'] = app_id body['application_template_id'] = application_template_id body['app_roles'] = app_roles body['created_date_time'] = created_date_time body['description'] = description body['display_name'] = display_name body['group_membership_claims'] = group_membership_claims body['identifier_uris'] = identifier_uris body['info'] = info body['is_device_only_auth_supported'] = is_device_only_auth_supported body['is_fallback_public_client'] = is_fallback_public_client body['key_credentials'] = key_credentials body['logo'] = logo body['notes'] = notes body['oauth2_require_post_response'] = oauth2_require_post_response body['parental_control_settings'] = parental_control_settings body['password_credentials'] = password_credentials body['public_client'] = public_client body['publisher_domain'] = publisher_domain body['required_resource_access'] = required_resource_access body['sign_in_audience'] = sign_in_audience body['tags'] = tags body['token_encryption_key_id'] = token_encryption_key_id body['created_on_behalf_of'] = created_on_behalf_of body['extension_properties'] = extension_properties body['home_realm_discovery_policies'] = home_realm_discovery_policies body['owners'] = owners body['token_issuance_policies'] = token_issuance_policies body['token_lifetime_policies'] = token_lifetime_policies body['web'] = {} body['web']['home_page_url'] = home_page_url body['web']['implicit_grant_settings'] = implicit_grant_settings body['web']['logout_url'] = logout_url body['web']['redirect_uris'] = redirect_uris body['optional_claims'] = {} body['optional_claims']['access_token'] = access_token body['optional_claims']['id_token'] = id_token body['optional_claims']['saml2_token'] = saml2_token body['api'] = {} body['api']['accept_mapped_claims'] = accept_mapped_claims body['api']['known_client_applications'] = known_client_applications body['api']['oauth2_permission_scopes'] = oauth2_permission_scopes body['api']['pre_authorized_applications'] = pre_authorized_applications body['api']['requested_access_token_version'] = requested_access_token_version if application_id is not None: return client.update_application(application_id=application_id, body=body) return client.create_application(body=body) def applications_application_delete_application(client, application_id, if_match=None): return client.delete_application(application_id=application_id, if_match=if_match) def applications_application_set_logo(client, application_id, data): return client.set_logo(application_id=application_id, data=data) def applications_application_show_application(client, application_id, select=None, expand=None): return client.get_application(application_id=application_id, select=select, expand=expand) def applications_application_show_logo(client, application_id): return client.get_logo(application_id=application_id) def applications_application_add_key(client, application_id, key_credential=None, password_credential=None, proof=None): body = {} body['key_credential'] = key_credential body['password_credential'] = password_credential body['proof'] = proof return client.add_key(application_id=application_id, body=body) def applications_application_add_password(client, application_id, password_credential=None): body = {} body['password_credential'] = password_credential return client.add_password(application_id=application_id, body=body) def applications_application_check_member_group(client, application_id, group_ids=None): body = {} body['group_ids'] = group_ids return client.check_member_groups(application_id=application_id, body=body) def applications_application_check_member_object(client, application_id, ids=None): body = {} body['ids'] = ids return client.check_member_objects(application_id=application_id, body=body) def applications_application_create_extension_property(client, application_id, id_=None, deleted_date_time=None, app_display_name=None, data_type=None, is_synced_from_on_premises=None, name=None, target_objects=None): body = {} body['id'] = id_ body['deleted_date_time'] = deleted_date_time body['app_display_name'] = app_display_name body['data_type'] = data_type body['is_synced_from_on_premises'] = is_synced_from_on_premises body['name'] = name body['target_objects'] = target_objects return client.create_extension_properties(application_id=application_id, body=body) def applications_application_create_ref_home_realm_discovery_policy(client, application_id, body): return client.create_ref_home_realm_discovery_policies(application_id=application_id, body=body) def applications_application_create_ref_owner(client, application_id, body): return client.create_ref_owners(application_id=application_id, body=body) def applications_application_create_ref_token_issuance_policy(client, application_id, body): return client.create_ref_token_issuance_policies(application_id=application_id, body=body) def applications_application_create_ref_token_lifetime_policy(client, application_id, body): return client.create_ref_token_lifetime_policies(application_id=application_id, body=body) def applications_application_delete_extension_property(client, application_id, extension_property_id, if_match=None): return client.delete_extension_properties(application_id=application_id, extension_property_id=extension_property_id, if_match=if_match) def applications_application_delete_ref_created_on_behalf_of(client, application_id, if_match=None): return client.delete_ref_created_on_behalf_of(application_id=application_id, if_match=if_match) def applications_application_delta(client): return client.delta() def applications_application_get_available_extension_property(client, is_synced_from_on_premises=None): if is_synced_from_on_premises is None: is_synced_from_on_premises = False body = {} body['is_synced_from_on_premises'] = False if is_synced_from_on_premises is None else is_synced_from_on_premises return client.get_available_extension_properties(body=body) def applications_application_get_by_id(client, ids=None, types=None): body = {} body['ids'] = ids body['types'] = types return client.get_by_ids(body=body) def applications_application_get_member_group(client, application_id, security_enabled_only=None): if security_enabled_only is None: security_enabled_only = False body = {} body['security_enabled_only'] = False if security_enabled_only is None else security_enabled_only return client.get_member_groups(application_id=application_id, body=body) def applications_application_get_member_object(client, application_id, security_enabled_only=None): if security_enabled_only is None: security_enabled_only = False body = {} body['security_enabled_only'] = False if security_enabled_only is None else security_enabled_only return client.get_member_objects(application_id=application_id, body=body) def applications_application_list_extension_property(client, application_id, orderby=None, select=None, expand=None): return client.list_extension_properties(application_id=application_id, orderby=orderby, select=select, expand=expand) def applications_application_list_home_realm_discovery_policy(client, application_id, orderby=None, select=None, expand=None): return client.list_home_realm_discovery_policies(application_id=application_id, orderby=orderby, select=select, expand=expand) def applications_application_list_owner(client, application_id, orderby=None, select=None, expand=None): return client.list_owners(application_id=application_id, orderby=orderby, select=select, expand=expand) def applications_application_list_ref_home_realm_discovery_policy(client, application_id, orderby=None): return client.list_ref_home_realm_discovery_policies(application_id=application_id, orderby=orderby) def applications_application_list_ref_owner(client, application_id, orderby=None): return client.list_ref_owners(application_id=application_id, orderby=orderby) def applications_application_list_ref_token_issuance_policy(client, application_id, orderby=None): return client.list_ref_token_issuance_policies(application_id=application_id, orderby=orderby) def applications_application_list_ref_token_lifetime_policy(client, application_id, orderby=None): return client.list_ref_token_lifetime_policies(application_id=application_id, orderby=orderby) def applications_application_list_token_issuance_policy(client, application_id, orderby=None, select=None, expand=None): return client.list_token_issuance_policies(application_id=application_id, orderby=orderby, select=select, expand=expand) def applications_application_list_token_lifetime_policy(client, application_id, orderby=None, select=None, expand=None): return client.list_token_lifetime_policies(application_id=application_id, orderby=orderby, select=select, expand=expand) def applications_application_remove_key(client, application_id, key_id=None, proof=None): body = {} body['key_id'] = key_id body['proof'] = proof return client.remove_key(application_id=application_id, body=body) def applications_application_remove_password(client, application_id, key_id=None): body = {} body['key_id'] = key_id return client.remove_password(application_id=application_id, body=body) def applications_application_restore(client, application_id): return client.restore(application_id=application_id) def applications_application_set_ref_created_on_behalf_of(client, application_id, body): return client.set_ref_created_on_behalf_of(application_id=application_id, body=body) def applications_application_show_created_on_behalf_of(client, application_id, select=None, expand=None): return client.get_created_on_behalf_of(application_id=application_id, select=select, expand=expand) def applications_application_show_extension_property(client, application_id, extension_property_id, select=None, expand=None): return client.get_extension_properties(application_id=application_id, extension_property_id=extension_property_id, select=select, expand=expand) def applications_application_show_ref_created_on_behalf_of(client, application_id): return client.get_ref_created_on_behalf_of(application_id=application_id) def applications_application_update_extension_property(client, application_id, extension_property_id, id_=None, deleted_date_time=None, app_display_name=None, data_type=None, is_synced_from_on_premises=None, name=None, target_objects=None): body = {} body['id'] = id_ body['deleted_date_time'] = deleted_date_time body['app_display_name'] = app_display_name body['data_type'] = data_type body['is_synced_from_on_premises'] = is_synced_from_on_premises body['name'] = name body['target_objects'] = target_objects return client.update_extension_properties(application_id=application_id, extension_property_id=extension_property_id, body=body) def applications_application_validate_property(client, entity_type=None, display_name=None, mail_nickname=None, on_behalf_of_user_id=None): body = {} body['entity_type'] = entity_type body['display_name'] = display_name body['mail_nickname'] = mail_nickname body['on_behalf_of_user_id'] = on_behalf_of_user_id return client.validate_properties(body=body) def applications_group_create_app_role_assignment(client, group_id, id_=None, deleted_date_time=None, app_role_id=None, created_date_time=None, principal_display_name=None, principal_id=None, principal_type=None, resource_display_name=None, resource_id=None): body = {} body['id'] = id_ body['deleted_date_time'] = deleted_date_time body['app_role_id'] = app_role_id body['created_date_time'] = created_date_time body['principal_display_name'] = principal_display_name body['principal_id'] = principal_id body['principal_type'] = principal_type body['resource_display_name'] = resource_display_name body['resource_id'] = resource_id return client.create_app_role_assignments(group_id=group_id, body=body) def applications_group_delete_app_role_assignment(client, group_id, app_role_assignment_id, if_match=None): return client.delete_app_role_assignments(group_id=group_id, app_role_assignment_id=app_role_assignment_id, if_match=if_match) def applications_group_list_app_role_assignment(client, group_id, orderby=None, select=None, expand=None): return client.list_app_role_assignments(group_id=group_id, orderby=orderby, select=select, expand=expand) def applications_group_show_app_role_assignment(client, group_id, app_role_assignment_id, select=None, expand=None): return client.get_app_role_assignments(group_id=group_id, app_role_assignment_id=app_role_assignment_id, select=select, expand=expand) def applications_group_update_app_role_assignment(client, group_id, app_role_assignment_id, id_=None, deleted_date_time=None, app_role_id=None, created_date_time=None, principal_display_name=None, principal_id=None, principal_type=None, resource_display_name=None, resource_id=None): body = {} body['id'] = id_ body['deleted_date_time'] = deleted_date_time body['app_role_id'] = app_role_id body['created_date_time'] = created_date_time body['principal_display_name'] = principal_display_name body['principal_id'] = principal_id body['principal_type'] = principal_type body['resource_display_name'] = resource_display_name body['resource_id'] = resource_id return client.update_app_role_assignments(group_id=group_id, app_role_assignment_id=app_role_assignment_id, body=body) def applications_service_principal_service_principal_create_service_principal(client, id_=None, deleted_date_time=None, account_enabled=None, add_ins=None, alternative_names=None, app_description=None, app_display_name=None, app_id=None, application_template_id=None, app_owner_organization_id=None, app_role_assignment_required=None, app_roles=None, description=None, display_name=None, homepage=None, info=None, key_credentials=None, login_url=None, logout_url=None, notes=None, notification_email_addresses=None, oauth2_permission_scopes=None, password_credentials=None, preferred_single_sign_on_mode=None, preferred_token_signing_key_thumbprint=None, reply_urls=None, service_principal_names=None, service_principal_type=None, tags=None, token_encryption_key_id=None, app_role_assigned_to=None, app_role_assignments=None, claims_mapping_policies=None, created_objects=None, endpoints=None, home_realm_discovery_policies=None, member_of=None, oauth2_permission_grants=None, owned_objects=None, owners=None, token_issuance_policies=None, token_lifetime_policies=None, transitive_member_of=None, relay_state=None): body = {} body['id'] = id_ body['deleted_date_time'] = deleted_date_time body['account_enabled'] = account_enabled body['add_ins'] = add_ins body['alternative_names'] = alternative_names body['app_description'] = app_description body['app_display_name'] = app_display_name body['app_id'] = app_id body['application_template_id'] = application_template_id body['app_owner_organization_id'] = app_owner_organization_id body['app_role_assignment_required'] = app_role_assignment_required body['app_roles'] = app_roles body['description'] = description body['display_name'] = display_name body['homepage'] = homepage body['info'] = info body['key_credentials'] = key_credentials body['login_url'] = login_url body['logout_url'] = logout_url body['notes'] = notes body['notification_email_addresses'] = notification_email_addresses body['oauth2_permission_scopes'] = oauth2_permission_scopes body['password_credentials'] = password_credentials body['preferred_single_sign_on_mode'] = preferred_single_sign_on_mode body['preferred_token_signing_key_thumbprint'] = preferred_token_signing_key_thumbprint body['reply_urls'] = reply_urls body['service_principal_names'] = service_principal_names body['service_principal_type'] = service_principal_type body['tags'] = tags body['token_encryption_key_id'] = token_encryption_key_id body['app_role_assigned_to'] = app_role_assigned_to body['app_role_assignments'] = app_role_assignments body['claims_mapping_policies'] = claims_mapping_policies body['created_objects'] = created_objects body['endpoints'] = endpoints body['home_realm_discovery_policies'] = home_realm_discovery_policies body['member_of'] = member_of body['oauth2_permission_grants'] = oauth2_permission_grants body['owned_objects'] = owned_objects body['owners'] = owners body['token_issuance_policies'] = token_issuance_policies body['token_lifetime_policies'] = token_lifetime_policies body['transitive_member_of'] = transitive_member_of body['saml_single_sign_on_settings'] = {} body['saml_single_sign_on_settings']['relay_state'] = relay_state return client.create_service_principal(body=body) def applications_service_principal_service_principal_delete_service_principal(client, service_principal_id, if_match=None): return client.delete_service_principal(service_principal_id=service_principal_id, if_match=if_match) def applications_service_principal_service_principal_list_service_principal(client, orderby=None, select=None, expand=None): return client.list_service_principal(orderby=orderby, select=select, expand=expand) def applications_service_principal_service_principal_show_service_principal(client, service_principal_id, select=None, expand=None): return client.get_service_principal(service_principal_id=service_principal_id, select=select, expand=expand) def applications_service_principal_service_principal_update_service_principal(client, service_principal_id, id_=None, deleted_date_time=None, account_enabled=None, add_ins=None, alternative_names=None, app_description=None, app_display_name=None, app_id=None, application_template_id=None, app_owner_organization_id=None, app_role_assignment_required=None, app_roles=None, description=None, display_name=None, homepage=None, info=None, key_credentials=None, login_url=None, logout_url=None, notes=None, notification_email_addresses=None, oauth2_permission_scopes=None, password_credentials=None, preferred_single_sign_on_mode=None, preferred_token_signing_key_thumbprint=None, reply_urls=None, service_principal_names=None, service_principal_type=None, tags=None, token_encryption_key_id=None, app_role_assigned_to=None, app_role_assignments=None, claims_mapping_policies=None, created_objects=None, endpoints=None, home_realm_discovery_policies=None, member_of=None, oauth2_permission_grants=None, owned_objects=None, owners=None, token_issuance_policies=None, token_lifetime_policies=None, transitive_member_of=None, relay_state=None): body = {} body['id'] = id_ body['deleted_date_time'] = deleted_date_time body['account_enabled'] = account_enabled body['add_ins'] = add_ins body['alternative_names'] = alternative_names body['app_description'] = app_description body['app_display_name'] = app_display_name body['app_id'] = app_id body['application_template_id'] = application_template_id body['app_owner_organization_id'] = app_owner_organization_id body['app_role_assignment_required'] = app_role_assignment_required body['app_roles'] = app_roles body['description'] = description body['display_name'] = display_name body['homepage'] = homepage body['info'] = info body['key_credentials'] = key_credentials body['login_url'] = login_url body['logout_url'] = logout_url body['notes'] = notes body['notification_email_addresses'] = notification_email_addresses body['oauth2_permission_scopes'] = oauth2_permission_scopes body['password_credentials'] = password_credentials body['preferred_single_sign_on_mode'] = preferred_single_sign_on_mode body['preferred_token_signing_key_thumbprint'] = preferred_token_signing_key_thumbprint body['reply_urls'] = reply_urls body['service_principal_names'] = service_principal_names body['service_principal_type'] = service_principal_type body['tags'] = tags body['token_encryption_key_id'] = token_encryption_key_id body['app_role_assigned_to'] = app_role_assigned_to body['app_role_assignments'] = app_role_assignments body['claims_mapping_policies'] = claims_mapping_policies body['created_objects'] = created_objects body['endpoints'] = endpoints body['home_realm_discovery_policies'] = home_realm_discovery_policies body['member_of'] = member_of body['oauth2_permission_grants'] = oauth2_permission_grants body['owned_objects'] = owned_objects body['owners'] = owners body['token_issuance_policies'] = token_issuance_policies body['token_lifetime_policies'] = token_lifetime_policies body['transitive_member_of'] = transitive_member_of body['saml_single_sign_on_settings'] = {} body['saml_single_sign_on_settings']['relay_state'] = relay_state return client.update_service_principal(service_principal_id=service_principal_id, body=body) def applications_service_principal_add_key(client, service_principal_id, key_credential=None, password_credential=None, proof=None): body = {} body['key_credential'] = key_credential body['password_credential'] = password_credential body['proof'] = proof return client.add_key(service_principal_id=service_principal_id, body=body) def applications_service_principal_add_password(client, service_principal_id, password_credential=None): body = {} body['password_credential'] = password_credential return client.add_password(service_principal_id=service_principal_id, body=body) def applications_service_principal_check_member_group(client, service_principal_id, group_ids=None): body = {} body['group_ids'] = group_ids return client.check_member_groups(service_principal_id=service_principal_id, body=body) def applications_service_principal_check_member_object(client, service_principal_id, ids=None): body = {} body['ids'] = ids return client.check_member_objects(service_principal_id=service_principal_id, body=body) def applications_service_principal_create_app_role_assigned_to(client, service_principal_id, id_=None, deleted_date_time=None, app_role_id=None, created_date_time=None, principal_display_name=None, principal_id=None, principal_type=None, resource_display_name=None, resource_id=None): body = {} body['id'] = id_ body['deleted_date_time'] = deleted_date_time body['app_role_id'] = app_role_id body['created_date_time'] = created_date_time body['principal_display_name'] = principal_display_name body['principal_id'] = principal_id body['principal_type'] = principal_type body['resource_display_name'] = resource_display_name body['resource_id'] = resource_id return client.create_app_role_assigned_to(service_principal_id=service_principal_id, body=body) def applications_service_principal_create_app_role_assignment(client, service_principal_id, id_=None, deleted_date_time=None, app_role_id=None, created_date_time=None, principal_display_name=None, principal_id=None, principal_type=None, resource_display_name=None, resource_id=None): body = {} body['id'] = id_ body['deleted_date_time'] = deleted_date_time body['app_role_id'] = app_role_id body['created_date_time'] = created_date_time body['principal_display_name'] = principal_display_name body['principal_id'] = principal_id body['principal_type'] = principal_type body['resource_display_name'] = resource_display_name body['resource_id'] = resource_id return client.create_app_role_assignments(service_principal_id=service_principal_id, body=body) def applications_service_principal_create_endpoint(client, service_principal_id, id_=None, deleted_date_time=None, capability=None, provider_id=None, provider_name=None, provider_resource_id=None, uri=None): body = {} body['id'] = id_ body['deleted_date_time'] = deleted_date_time body['capability'] = capability body['provider_id'] = provider_id body['provider_name'] = provider_name body['provider_resource_id'] = provider_resource_id body['uri'] = uri return client.create_endpoints(service_principal_id=service_principal_id, body=body) def applications_service_principal_create_ref_claim_mapping_policy(client, service_principal_id, body): return client.create_ref_claims_mapping_policies(service_principal_id=service_principal_id, body=body) def applications_service_principal_create_ref_created_object(client, service_principal_id, body): return client.create_ref_created_objects(service_principal_id=service_principal_id, body=body) def applications_service_principal_create_ref_home_realm_discovery_policy(client, service_principal_id, body): return client.create_ref_home_realm_discovery_policies(service_principal_id=service_principal_id, body=body) def applications_service_principal_create_ref_member_of(client, service_principal_id, body): return client.create_ref_member_of(service_principal_id=service_principal_id, body=body) def applications_service_principal_create_ref_oauth2_permission_grant(client, service_principal_id, body): return client.create_ref_oauth2_permission_grants(service_principal_id=service_principal_id, body=body) def applications_service_principal_create_ref_owned_object(client, service_principal_id, body): return client.create_ref_owned_objects(service_principal_id=service_principal_id, body=body) def applications_service_principal_create_ref_owner(client, service_principal_id, body): return client.create_ref_owners(service_principal_id=service_principal_id, body=body) def applications_service_principal_create_ref_token_issuance_policy(client, service_principal_id, body): return client.create_ref_token_issuance_policies(service_principal_id=service_principal_id, body=body) def applications_service_principal_create_ref_token_lifetime_policy(client, service_principal_id, body): return client.create_ref_token_lifetime_policies(service_principal_id=service_principal_id, body=body) def applications_service_principal_create_ref_transitive_member_of(client, service_principal_id, body): return client.create_ref_transitive_member_of(service_principal_id=service_principal_id, body=body) def applications_service_principal_delete_app_role_assigned_to(client, service_principal_id, app_role_assignment_id, if_match=None): return client.delete_app_role_assigned_to(service_principal_id=service_principal_id, app_role_assignment_id=app_role_assignment_id, if_match=if_match) def applications_service_principal_delete_app_role_assignment(client, service_principal_id, app_role_assignment_id, if_match=None): return client.delete_app_role_assignments(service_principal_id=service_principal_id, app_role_assignment_id=app_role_assignment_id, if_match=if_match) def applications_service_principal_delete_endpoint(client, service_principal_id, endpoint_id, if_match=None): return client.delete_endpoints(service_principal_id=service_principal_id, endpoint_id=endpoint_id, if_match=if_match) def applications_service_principal_delta(client): return client.delta() def applications_service_principal_get_available_extension_property(client, is_synced_from_on_premises=None): if is_synced_from_on_premises is None: is_synced_from_on_premises = False body = {} body['is_synced_from_on_premises'] = False if is_synced_from_on_premises is None else is_synced_from_on_premises return client.get_available_extension_properties(body=body) def applications_service_principal_get_by_id(client, ids=None, types=None): body = {} body['ids'] = ids body['types'] = types return client.get_by_ids(body=body) def applications_service_principal_get_member_group(client, service_principal_id, security_enabled_only=None): if security_enabled_only is None: security_enabled_only = False body = {} body['security_enabled_only'] = False if security_enabled_only is None else security_enabled_only return client.get_member_groups(service_principal_id=service_principal_id, body=body) def applications_service_principal_get_member_object(client, service_principal_id, security_enabled_only=None): if security_enabled_only is None: security_enabled_only = False body = {} body['security_enabled_only'] = False if security_enabled_only is None else security_enabled_only return client.get_member_objects(service_principal_id=service_principal_id, body=body) def applications_service_principal_list_app_role_assigned_to(client, service_principal_id, orderby=None, select=None, expand=None): return client.list_app_role_assigned_to(service_principal_id=service_principal_id, orderby=orderby, select=select, expand=expand) def applications_service_principal_list_app_role_assignment(client, service_principal_id, orderby=None, select=None, expand=None): return client.list_app_role_assignments(service_principal_id=service_principal_id, orderby=orderby, select=select, expand=expand) def applications_service_principal_list_claim_mapping_policy(client, service_principal_id, orderby=None, select=None, expand=None): return client.list_claims_mapping_policies(service_principal_id=service_principal_id, orderby=orderby, select=select, expand=expand) def applications_service_principal_list_created_object(client, service_principal_id, orderby=None, select=None, expand=None): return client.list_created_objects(service_principal_id=service_principal_id, orderby=orderby, select=select, expand=expand) def applications_service_principal_list_endpoint(client, service_principal_id, orderby=None, select=None, expand=None): return client.list_endpoints(service_principal_id=service_principal_id, orderby=orderby, select=select, expand=expand) def applications_service_principal_list_home_realm_discovery_policy(client, service_principal_id, orderby=None, select=None, expand=None): return client.list_home_realm_discovery_policies(service_principal_id=service_principal_id, orderby=orderby, select=select, expand=expand) def applications_service_principal_list_member_of(client, service_principal_id, orderby=None, select=None, expand=None): return client.list_member_of(service_principal_id=service_principal_id, orderby=orderby, select=select, expand=expand) def applications_service_principal_list_oauth2_permission_grant(client, service_principal_id, orderby=None, select=None, expand=None): return client.list_oauth2_permission_grants(service_principal_id=service_principal_id, orderby=orderby, select=select, expand=expand) def applications_service_principal_list_owned_object(client, service_principal_id, orderby=None, select=None, expand=None): return client.list_owned_objects(service_principal_id=service_principal_id, orderby=orderby, select=select, expand=expand) def applications_service_principal_list_owner(client, service_principal_id, orderby=None, select=None, expand=None): return client.list_owners(service_principal_id=service_principal_id, orderby=orderby, select=select, expand=expand) def applications_service_principal_list_ref_claim_mapping_policy(client, service_principal_id, orderby=None): return client.list_ref_claims_mapping_policies(service_principal_id=service_principal_id, orderby=orderby) def applications_service_principal_list_ref_created_object(client, service_principal_id, orderby=None): return client.list_ref_created_objects(service_principal_id=service_principal_id, orderby=orderby) def applications_service_principal_list_ref_home_realm_discovery_policy(client, service_principal_id, orderby=None): return client.list_ref_home_realm_discovery_policies(service_principal_id=service_principal_id, orderby=orderby) def applications_service_principal_list_ref_member_of(client, service_principal_id, orderby=None): return client.list_ref_member_of(service_principal_id=service_principal_id, orderby=orderby) def applications_service_principal_list_ref_oauth2_permission_grant(client, service_principal_id, orderby=None): return client.list_ref_oauth2_permission_grants(service_principal_id=service_principal_id, orderby=orderby) def applications_service_principal_list_ref_owned_object(client, service_principal_id, orderby=None): return client.list_ref_owned_objects(service_principal_id=service_principal_id, orderby=orderby) def applications_service_principal_list_ref_owner(client, service_principal_id, orderby=None): return client.list_ref_owners(service_principal_id=service_principal_id, orderby=orderby) def applications_service_principal_list_ref_token_issuance_policy(client, service_principal_id, orderby=None): return client.list_ref_token_issuance_policies(service_principal_id=service_principal_id, orderby=orderby) def applications_service_principal_list_ref_token_lifetime_policy(client, service_principal_id, orderby=None): return client.list_ref_token_lifetime_policies(service_principal_id=service_principal_id, orderby=orderby) def applications_service_principal_list_ref_transitive_member_of(client, service_principal_id, orderby=None): return client.list_ref_transitive_member_of(service_principal_id=service_principal_id, orderby=orderby) def applications_service_principal_list_token_issuance_policy(client, service_principal_id, orderby=None, select=None, expand=None): return client.list_token_issuance_policies(service_principal_id=service_principal_id, orderby=orderby, select=select, expand=expand) def applications_service_principal_list_token_lifetime_policy(client, service_principal_id, orderby=None, select=None, expand=None): return client.list_token_lifetime_policies(service_principal_id=service_principal_id, orderby=orderby, select=select, expand=expand) def applications_service_principal_list_transitive_member_of(client, service_principal_id, orderby=None, select=None, expand=None): return client.list_transitive_member_of(service_principal_id=service_principal_id, orderby=orderby, select=select, expand=expand) def applications_service_principal_remove_key(client, service_principal_id, key_id=None, proof=None): body = {} body['key_id'] = key_id body['proof'] = proof return client.remove_key(service_principal_id=service_principal_id, body=body) def applications_service_principal_remove_password(client, service_principal_id, key_id=None): body = {} body['key_id'] = key_id return client.remove_password(service_principal_id=service_principal_id, body=body) def applications_service_principal_restore(client, service_principal_id): return client.restore(service_principal_id=service_principal_id) def applications_service_principal_show_app_role_assigned_to(client, service_principal_id, app_role_assignment_id, select=None, expand=None): return client.get_app_role_assigned_to(service_principal_id=service_principal_id, app_role_assignment_id=app_role_assignment_id, select=select, expand=expand) def applications_service_principal_show_app_role_assignment(client, service_principal_id, app_role_assignment_id, select=None, expand=None): return client.get_app_role_assignments(service_principal_id=service_principal_id, app_role_assignment_id=app_role_assignment_id, select=select, expand=expand) def applications_service_principal_show_endpoint(client, service_principal_id, endpoint_id, select=None, expand=None): return client.get_endpoints(service_principal_id=service_principal_id, endpoint_id=endpoint_id, select=select, expand=expand) def applications_service_principal_update_app_role_assigned_to(client, service_principal_id, app_role_assignment_id, id_=None, deleted_date_time=None, app_role_id=None, created_date_time=None, principal_display_name=None, principal_id=None, principal_type=None, resource_display_name=None, resource_id=None): body = {} body['id'] = id_ body['deleted_date_time'] = deleted_date_time body['app_role_id'] = app_role_id body['created_date_time'] = created_date_time body['principal_display_name'] = principal_display_name body['principal_id'] = principal_id body['principal_type'] = principal_type body['resource_display_name'] = resource_display_name body['resource_id'] = resource_id return client.update_app_role_assigned_to(service_principal_id=service_principal_id, app_role_assignment_id=app_role_assignment_id, body=body) def applications_service_principal_update_app_role_assignment(client, service_principal_id, app_role_assignment_id, id_=None, deleted_date_time=None, app_role_id=None, created_date_time=None, principal_display_name=None, principal_id=None, principal_type=None, resource_display_name=None, resource_id=None): body = {} body['id'] = id_ body['deleted_date_time'] = deleted_date_time body['app_role_id'] = app_role_id body['created_date_time'] = created_date_time body['principal_display_name'] = principal_display_name body['principal_id'] = principal_id body['principal_type'] = principal_type body['resource_display_name'] = resource_display_name body['resource_id'] = resource_id return client.update_app_role_assignments(service_principal_id=service_principal_id, app_role_assignment_id=app_role_assignment_id, body=body) def applications_service_principal_update_endpoint(client, service_principal_id, endpoint_id, id_=None, deleted_date_time=None, capability=None, provider_id=None, provider_name=None, provider_resource_id=None, uri=None): body = {} body['id'] = id_ body['deleted_date_time'] = deleted_date_time body['capability'] = capability body['provider_id'] = provider_id body['provider_name'] = provider_name body['provider_resource_id'] = provider_resource_id body['uri'] = uri return client.update_endpoints(service_principal_id=service_principal_id, endpoint_id=endpoint_id, body=body) def applications_service_principal_validate_property(client, entity_type=None, display_name=None, mail_nickname=None, on_behalf_of_user_id=None): body = {} body['entity_type'] = entity_type body['display_name'] = display_name body['mail_nickname'] = mail_nickname body['on_behalf_of_user_id'] = on_behalf_of_user_id return client.validate_properties(body=body) def applications_user_create_app_role_assignment(client, user_id, id_=None, deleted_date_time=None, app_role_id=None, created_date_time=None, principal_display_name=None, principal_id=None, principal_type=None, resource_display_name=None, resource_id=None): body = {} body['id'] = id_ body['deleted_date_time'] = deleted_date_time body['app_role_id'] = app_role_id body['created_date_time'] = created_date_time body['principal_display_name'] = principal_display_name body['principal_id'] = principal_id body['principal_type'] = principal_type body['resource_display_name'] = resource_display_name body['resource_id'] = resource_id return client.create_app_role_assignments(user_id=user_id, body=body) def applications_user_delete_app_role_assignment(client, user_id, app_role_assignment_id, if_match=None): return client.delete_app_role_assignments(user_id=user_id, app_role_assignment_id=app_role_assignment_id, if_match=if_match) def applications_user_list_app_role_assignment(client, user_id, orderby=None, select=None, expand=None): return client.list_app_role_assignments(user_id=user_id, orderby=orderby, select=select, expand=expand) def applications_user_show_app_role_assignment(client, user_id, app_role_assignment_id, select=None, expand=None): return client.get_app_role_assignments(user_id=user_id, app_role_assignment_id=app_role_assignment_id, select=select, expand=expand) def applications_user_update_app_role_assignment(client, user_id, app_role_assignment_id, id_=None, deleted_date_time=None, app_role_id=None, created_date_time=None, principal_display_name=None, principal_id=None, principal_type=None, resource_display_name=None, resource_id=None): body = {} body['id'] = id_ body['deleted_date_time'] = deleted_date_time body['app_role_id'] = app_role_id body['created_date_time'] = created_date_time body['principal_display_name'] = principal_display_name body['principal_id'] = principal_id body['principal_type'] = principal_type body['resource_display_name'] = resource_display_name body['resource_id'] = resource_id return client.update_app_role_assignments(user_id=user_id, app_role_assignment_id=app_role_assignment_id, body=body)

54.231608

122

0.441541

5,837

79,612

5.552681

0.035806

0.128845

0.094968

0.060257

0.929283

0.911481

0.88578

0.860294

0.830983

0.797075

0

0.000694

0.511343

79,612

1,467

123

54.268575

0.832429

0.00628

0

0.776423

0

0.052528

0.022984

0

1

0.09187

false

0.017886

0

0.061789

0.184553

0.003252

0

null

0

1

0

1

0

1

0

null

0

8

be1615f4f65b63f4da2aced557a173fdd95fbc40

4,023

py

Python

tests/probability2/discrete_distribution_conditional_test.py

rpazuki/algos

bca46326f58eb983db6efe55320bf95fcf2b895f

[ "MIT" ]

null

tests/probability2/discrete_distribution_conditional_test.py

rpazuki/algos

bca46326f58eb983db6efe55320bf95fcf2b895f

[ "MIT" ]

1

2020-08-12T06:56:59.000Z

2020-08-12T08:57:30.000Z

tests/probability2/discrete_distribution_conditional_test.py

chasing-entropy/algos

bca46326f58eb983db6efe55320bf95fcf2b895f

[ "MIT" ]

null

from probability2.empirical_distributions import DiscreteDistribution from tests.helpers import compare def test_conditional_discrete_distribution(): # Four levels dist. samples = { ("a", "x", 1, 33): 1, ("a", "x", 2, 33): 2, ("a", "x", 1, 44): 3, ("a", "x", 2, 44): 4, ("a", "y", 1, 33): 5, ("a", "y", 2, 33): 6, ("a", "y", 1, 44): 7, ("a", "y", 2, 44): 8, ("b", "x", 1, 33): 9, ("b", "x", 2, 33): 10, ("b", "x", 1, 44): 11, ("b", "x", 2, 44): 12, ("b", "y", 1, 33): 13, ("b", "y", 2, 33): 14, ("b", "y", 1, 44): 15, ("b", "y", 2, 44): 16, } disc_dist = DiscreteDistribution(samples) con_disc_dist = disc_dist.condition_on("X2") assert all(compare(con_disc_dist.conditional_rvs.names, ["X2"])) assert all(compare(con_disc_dist.distributions["x"].names, ["X1", "X3", "X4"])) assert all(compare(con_disc_dist.distributions["y"].names, ["X1", "X3", "X4"])) assert con_disc_dist.frequency(("a", 1, 33), "x") == 1 assert con_disc_dist.frequency(("a", 1, 33), "y") == 5 assert con_disc_dist.frequency(("a", 1, 44), "x") == 3 assert con_disc_dist.frequency(("a", 1, 44), "y") == 7 assert con_disc_dist.frequency(("b", 1, 33), "x") == 9 assert con_disc_dist.frequency(("b", 1, 33), "y") == 13 assert con_disc_dist.frequency(("b", 1, 44), "x") == 11 assert con_disc_dist.frequency(("b", 1, 44), "y") == 15 assert con_disc_dist.frequency(("b", 2, 44), "x") == 12 assert con_disc_dist.frequency(("b", 2, 33), "y") == 14 assert con_disc_dist.probability(("a", 1, 33), "x") == 1 / 52 assert con_disc_dist.probability(("a", 1, 33), "y") == 5 / 84 assert con_disc_dist.probability(("a", 1, 44), "x") == 3 / 52 assert con_disc_dist.probability(("a", 1, 44), "y") == 7 / 84 assert con_disc_dist.probability(("b", 1, 33), "x") == 9 / 52 assert con_disc_dist.probability(("b", 1, 33), "y") == 13 / 84 assert con_disc_dist.probability(("b", 1, 44), "x") == 11 / 52 assert con_disc_dist.probability(("b", 1, 44), "y") == 15 / 84 assert con_disc_dist.probability(("b", 2, 44), "x") == 12 / 52 assert con_disc_dist.probability(("b", 2, 33), "y") == 14 / 84 def test_conditional_operator_discrete_distribution(): # Four levels dist. samples = { ("a", "x", 1, 33): 1, ("a", "x", 2, 33): 2, ("a", "x", 1, 44): 3, ("a", "x", 2, 44): 4, ("a", "y", 1, 33): 5, ("a", "y", 2, 33): 6, ("a", "y", 1, 44): 7, ("a", "y", 2, 44): 8, ("b", "x", 1, 33): 9, ("b", "x", 2, 33): 10, ("b", "x", 1, 44): 11, ("b", "x", 2, 44): 12, ("b", "y", 1, 33): 13, ("b", "y", 2, 33): 14, ("b", "y", 1, 44): 15, ("b", "y", 2, 44): 16, } disc_dist = DiscreteDistribution(samples) con_disc_dist = disc_dist | "X2" assert all(compare(con_disc_dist.conditional_rvs.names, ["X2"])) assert all(compare(con_disc_dist.distributions["x"].names, ["X1", "X3", "X4"])) assert all(compare(con_disc_dist.distributions["y"].names, ["X1", "X3", "X4"])) assert con_disc_dist.frequency(("a", 1, 33), "x") == 1 assert con_disc_dist.frequency(("a", 1, 33), "y") == 5 assert con_disc_dist.probability(("a", 1, 33), "x") == 1 / 52 assert con_disc_dist.probability(("a", 1, 33), "y") == 5 / 84 con_disc_dist = disc_dist | ("X2", "X3") assert all(compare(con_disc_dist.conditional_rvs.names, ["X2", "X3"])) assert all(compare(con_disc_dist.distributions[("x", 1)].names, ["X1", "X4"])) assert all(compare(con_disc_dist.distributions[("x", 2)].names, ["X1", "X4"])) assert all(compare(con_disc_dist.distributions[("y", 1)].names, ["X1", "X4"])) assert all(compare(con_disc_dist.distributions[("y", 2)].names, ["X1", "X4"])) assert con_disc_dist.frequency(("a", 33), ("x", 1)) == 1 assert con_disc_dist.probability(("a", 33), ("x", 1)) == 1 / 24

42.797872

83

0.52697

619

4,023

3.268174

0.0937

0.177954

0.217499

0.218487

0.924864

0.890756

0.867029

0.793376

0.589224

0

0.101613

0.229431

4,023

93

84

43.258065

0.550968

0.0087

0

0.609756

0

0.045169

0

0.45122

1

0.02439

false

0

0.02439

0

0.04878

0

null

0

1

0

null

0

1

0

7

077a92ec9cb5f685b10b44d9bbcf5a1c66cdfaf7

34,198

py

Python

tests/tests/test_psbt.py

stepansnigirev/embit

afd09f243eaa5f682222455f75fdc45589ad69bc

[ "MIT" ]

24

2020-01-23T21:01:58.000Z

2022-01-31T14:59:40.000Z

tests/tests/test_psbt.py

stepansnigirev/embit

afd09f243eaa5f682222455f75fdc45589ad69bc

[ "MIT" ]

16

2020-11-04T10:35:17.000Z

2021-10-02T07:35:04.000Z

tests/tests/test_psbt.py

stepansnigirev/embit

afd09f243eaa5f682222455f75fdc45589ad69bc

[ "MIT" ]

15

2020-01-23T19:00:23.000Z

2022-02-21T20:36:17.000Z

# BIP174 Test vectors: # https://github.com/bitcoin/bips/blob/master/bip-0174.mediawiki#Test_Vectors from binascii import hexlify, unhexlify from embit.bip32 import HDKey from embit.ec import PublicKey from embit.psbt import PSBT from unittest import TestCase INVALID_VECTORS = [ # Case: Network transaction, not PSBT format "0200000001268171371edff285e937adeea4b37b78000c0566cbb3ad64641713ca42171bf6000000006a473044022070b2245123e6bf474d60c5b50c043d4c691a5d2435f09a34a7662a9dc251790a022001329ca9dacf280bdf30740ec0390422422c81cb45839457aeb76fc12edd95b3012102657d118d3357b8e0f4c2cd46db7b39f6d9c38d9a70abcb9b2de5dc8dbfe4ce31feffffff02d3dff505000000001976a914d0c59903c5bac2868760e90fd521a4665aa7652088ac00e1f5050000000017a9143545e6e33b832c47050f24d3eeb93c9c03948bc787b32e1300", # Case: PSBT missing outputs "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", # Case: PSBT where one input has a filled scriptSig in the unsigned tx # (this test fails, which is probably fine for the purposes of this library) # "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", # Case: PSBT where inputs and outputs are provided but without an unsigned tx "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", # Case: PSBT with duplicate keys in an input "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", # Case: PSBT With invalid global transaction typed key "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", # Case: PSBT With invalid input witness utxo typed key "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", # Case: PSBT With invalid pubkey length for input partial signature typed key "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", # Case: PSBT With invalid redeemscript typed key "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", # Case: PSBT With invalid witnessscript typed key "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", # Case: PSBT With invalid bip32 typed key "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", # Case: PSBT With invalid non-witness utxo typed key "70736274ff01009a020000000258e87a21b56daf0c23be8e7070456c336f7cbaa5c8757924f545887bb2abdd750000000000ffffffff838d0427d0ec650a68aa46bb0b098aea4422c071b2ca78352a077959d07cea1d0100000000ffffffff0270aaf00800000000160014d85c2b71d0060b09c9886aeb815e50991dda124d00e1f5050000000016001400aea9a2e5f0f876a588df5546e8742d1d87008f0000000000020000bb0200000001aad73931018bd25f84ae400b68848be09db706eac2ac18298babee71ab656f8b0000000048473044022058f6fc7c6a33e1b31548d481c826c015bd30135aad42cd67790dab66d2ad243b02204a1ced2604c6735b6393e5b41691dd78b00f0c5942fb9f751856faa938157dba01feffffff0280f0fa020000000017a9140fb9463421696b82c833af241c78c17ddbde493487d0f20a270100000017a91429ca74f8a08f81999428185c97b5d852e4063f6187650000000107da00473044022074018ad4180097b873323c0015720b3684cc8123891048e7dbcd9b55ad679c99022073d369b740e3eb53dcefa33823c8070514ca55a7dd9544f157c167913261118c01483045022100f61038b308dc1da865a34852746f015772934208c6d24454393cd99bdf2217770220056e675a675a6d0a02b85b14e5e29074d8a25a9b5760bea2816f661910a006ea01475221029583bf39ae0a609747ad199addd634fa6108559d6c5cd39b4c2183f1ab96e07f2102dab61ff49a14db6a7d02b0cd1fbb78fc4b18312b5b4e54dae4dba2fbfef536d752ae0001012000c2eb0b0000000017a914b7f5faf40e3d40a5a459b1db3535f2b72fa921e8870107232200208c2353173743b595dfb4a07b72ba8e42e3797da74e87fe7d9d7497e3b20289030108da0400473044022062eb7a556107a7c73f45ac4ab5a1dddf6f7075fb1275969a7f383efff784bcb202200c05dbb7470dbf2f08557dd356c7325c1ed30913e996cd3840945db12228da5f01473044022065f45ba5998b59a27ffe1a7bed016af1f1f90d54b3aa8f7450aa5f56a25103bd02207f724703ad1edb96680b284b56d4ffcb88f7fb759eabbe08aa30f29b851383d20147522103089dc10c7ac6db54f91329af617333db388cead0c231f723379d1b99030b02dc21023add904f3d6dcf59ddb906b0dee23529b7ffb9ed50e5e86151926860221f0e7352ae00220203a9a4c37f5996d3aa25dbac6b570af0650394492942460b354753ed9eeca5877110d90c6a4f000000800000008004000080002202027f6399757d2eff55a136ad02c684b1838b6556e5f1b6b34282a94b6b5005109610d90c6a4f00000080000000800500008000", # Case: PSBT With invalid final scriptsig typed key "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", # Case: PSBT With invalid final script witness typed key "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", # Case: PSBT With invalid pubkey in output BIP 32 derivation paths typed key "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", # Case: PSBT With invalid input sighash type typed key "70736274ff0100730200000001301ae986e516a1ec8ac5b4bc6573d32f83b465e23ad76167d68b38e730b4dbdb0000000000ffffffff02747b01000000000017a91403aa17ae882b5d0d54b25d63104e4ffece7b9ea2876043993b0000000017a914b921b1ba6f722e4bfa83b6557a3139986a42ec8387000000000001011f00ca9a3b00000000160014d2d94b64ae08587eefc8eeb187c601e939f9037c0203000100000000010016001462e9e982fff34dd8239610316b090cd2a3b747cb000100220020876bad832f1d168015ed41232a9ea65a1815d9ef13c0ef8759f64b5b2b278a65010125512103b7ce23a01c5b4bf00a642537cdfabb315b668332867478ef51309d2bd57f8a8751ae00", # Case: PSBT With invalid output redeemScript typed key "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", # Case: PSBT With invalid output witnessScript typed key "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", ] VALID_VECTORS = [ # Case: PSBT with one P2PKH input. Outputs are empty "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", # Case: PSBT with one P2PKH input and one P2SH-P2WPKH input. First input is signed and finalized. Outputs are empty "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", # Case: PSBT with one P2PKH input which has a non-final scriptSig and has a sighash type specified. Outputs are empty "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", # Case: PSBT with one P2PKH input and one P2SH-P2WPKH input both with non-final scriptSigs. P2SH-P2WPKH input's redeemScript is available. Outputs filled. "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", # Case: PSBT with one P2SH-P2WSH input of a 2-of-2 multisig, redeemScript, witnessScript, and keypaths are available. Contains one signature. "70736274ff0100550200000001279a2323a5dfb51fc45f220fa58b0fc13e1e3342792a85d7e36cd6333b5cbc390000000000ffffffff01a05aea0b000000001976a914ffe9c0061097cc3b636f2cb0460fa4fc427d2b4588ac0000000000010120955eea0b0000000017a9146345200f68d189e1adc0df1c4d16ea8f14c0dbeb87220203b1341ccba7683b6af4f1238cd6e97e7167d569fac47f1e48d47541844355bd4646304302200424b58effaaa694e1559ea5c93bbfd4a89064224055cdf070b6771469442d07021f5c8eb0fea6516d60b8acb33ad64ede60e8785bfb3aa94b99bdf86151db9a9a010104220020771fd18ad459666dd49f3d564e3dbc42f4c84774e360ada16816a8ed488d5681010547522103b1341ccba7683b6af4f1238cd6e97e7167d569fac47f1e48d47541844355bd462103de55d1e1dac805e3f8a58c1fbf9b94c02f3dbaafe127fefca4995f26f82083bd52ae220603b1341ccba7683b6af4f1238cd6e97e7167d569fac47f1e48d47541844355bd4610b4a6ba67000000800000008004000080220603de55d1e1dac805e3f8a58c1fbf9b94c02f3dbaafe127fefca4995f26f82083bd10b4a6ba670000008000000080050000800000", # Case: PSBT with one P2WSH input of a 2-of-2 multisig. witnessScript, keypaths, and global xpubs are available. Contains no signatures. Outputs filled. "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", # Case: PSBT with unknown types in the inputs. "70736274ff01003f0200000001ffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff0000000000ffffffff010000000000000000036a010000000000000a0f0102030405060708090f0102030405060708090a0b0c0d0e0f0000", # Case: PSBT with `PSBT_GLOBAL_XPUB`. "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", ] class PSBTTest(TestCase): def test_invalid_psbts(self): for psbt_str in INVALID_VECTORS: psbt_bytes = unhexlify(psbt_str) try: PSBT.parse(psbt_bytes) except: continue # succeed if exception was thrown self.fail("Invalid psbt was parsed successfully: {}".format(psbt_str)) def test_valid_psbts(self): for psbt_str in VALID_VECTORS: psbt_bytes = unhexlify(psbt_str) psbt_act = PSBT.parse(psbt_bytes) msg = "Valid psbt changed after being parsed & serialized: {}".format( psbt_str ) psbt_act.verify(ignore_missing=True) self.assertEqual(psbt_act.serialize(), psbt_bytes, msg) def test_sign(self): """Parses a PSBT, signs both inputs (1 segwit and 1 legacy), and verifies each signature is correct""" xkey = HDKey.from_base58( "tprv8ZgxMBicQKsPd9TeAdPADNnSyH9SSUUbTVeFszDE23Ki6TBB5nCefAdHkK8Fm3qMQR6sHwA56zqRmKmxnHk37JkiFzvncDqoKmPWubu7hDF" ) psbt_str = "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" exp_partial_sigs = [ { "029583bf39ae0a609747ad199addd634fa6108559d6c5cd39b4c2183f1ab96e07f": "3044022074018ad4180097b873323c0015720b3684cc8123891048e7dbcd9b55ad679c99022073d369b740e3eb53dcefa33823c8070514ca55a7dd9544f157c167913261118c01", "02dab61ff49a14db6a7d02b0cd1fbb78fc4b18312b5b4e54dae4dba2fbfef536d7": "30440220631a989fe738a92ad01986023312c19214fe2802b39e5cbc1ac3678806c692c3022039db6c387bd267716dfdb3d4d8da50b8e85d213326ba7c7daaa4c0ce41eb922301", }, { "03089dc10c7ac6db54f91329af617333db388cead0c231f723379d1b99030b02dc": "3044022062eb7a556107a7c73f45ac4ab5a1dddf6f7075fb1275969a7f383efff784bcb202200c05dbb7470dbf2f08557dd356c7325c1ed30913e996cd3840945db12228da5f01", "023add904f3d6dcf59ddb906b0dee23529b7ffb9ed50e5e86151926860221f0e73": "3044022065f45ba5998b59a27ffe1a7bed016af1f1f90d54b3aa8f7450aa5f56a25103bd02207f724703ad1edb96680b284b56d4ffcb88f7fb759eabbe08aa30f29b851383d201", }, ] # check with both compressed parsing and uncompressed for compress in [False, True]: psbt = PSBT.parse(unhexlify(psbt_str), compress=compress) if compress: self.assertTrue(len(psbt.serialize()) < len(unhexlify(psbt_str))) psbt.sign_with(xkey) for i in range(len(psbt.inputs)): inp = psbt.inputs[i] self.assertEqual(len(inp.partial_sigs), len(exp_partial_sigs[i])) for act_pub, act_sig in inp.partial_sigs.items(): act_pub_str = hexlify(act_pub.serialize()).decode("utf-8") self.assertIn(act_pub_str, exp_partial_sigs[i].keys()) self.assertEqual( hexlify(act_sig).decode("utf-8"), exp_partial_sigs[i][act_pub_str] )

282.628099

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0.015249

0.009199

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0.621697

0.039359

34,198

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284.983333

0.364422

0.082227

0

0.024691

0

0.927236

0.923919

0

1

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0.061728

1

0.037037

false

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07bf90ace95d8d3e699d064203c63bcb9683bfe6

43,038

py

Python

pcdet/models/backbones_3d/votr_backbone.py

ocNflag/point2seq

710686f576b3df5469a06c66860758b25f852dbd

[ "Apache-2.0" ]

21

2022-03-24T09:37:38.000Z

2022-03-31T13:21:54.000Z

pcdet/models/backbones_3d/votr_backbone.py

ocNflag/point2seq

710686f576b3df5469a06c66860758b25f852dbd

[ "Apache-2.0" ]

null

pcdet/models/backbones_3d/votr_backbone.py

ocNflag/point2seq

710686f576b3df5469a06c66860758b25f852dbd

[ "Apache-2.0" ]

1

2022-03-24T09:37:48.000Z

import torch import torch.nn as nn from ...ops.votr_ops import votr_utils from pcdet.models.backbones_2d.swin_helpers import GELU def scatter_nd(indices, updates, shape): """pytorch edition of tensorflow scatter_nd. this function don't contain except handle code. so use this carefully when indice repeats, don't support repeat add which is supported in tensorflow. """ ret = torch.zeros(*shape, dtype=updates.dtype, device=updates.device) ndim = indices.shape[-1] output_shape = list(indices.shape[:-1]) + shape[indices.shape[-1]:] flatted_indices = indices.view(-1, ndim) slices = [flatted_indices[:, i] for i in range(ndim)] slices += [Ellipsis] ret[slices] = updates.view(*output_shape) return ret class SparseTensor(object): def __init__(self, features, indices, spatial_shape, voxel_size, point_cloud_range, batch_size, hash_size, map_table=None, gather_dict=None): self.features = features self.indices = indices self.spatial_shape = spatial_shape # [x, y, z] self.batch_size = batch_size self.voxel_size = voxel_size self.point_cloud_range = point_cloud_range self.hash_size = hash_size self.gather_dict = gather_dict self.map_table = self.build_map_table() if not map_table else map_table @torch.no_grad() def build_map_table(self): bs_cnt = torch.zeros(self.batch_size).int() for i in range(self.batch_size): bs_cnt[i] = (self.indices[:, 0] == i).sum().item() bs_cnt = bs_cnt.to(self.indices.device) map_table = votr_utils.build_hash_table( self.batch_size, self.hash_size, self.spatial_shape, self.indices, bs_cnt, ) return map_table def dense(self, channels_first=True): reverse_spatial_shape = self.spatial_shape[::-1] # (ZYX) output_shape = [self.batch_size] + list( reverse_spatial_shape) + [self.features.shape[1]] res = scatter_nd( self.indices.to(self.features.device).long(), self.features, output_shape) if not channels_first: return res ndim = len(reverse_spatial_shape) trans_params = list(range(0, ndim + 1)) trans_params.insert(1, ndim + 1) return res.permute(*trans_params).contiguous() class Attention3d(nn.Module): def __init__(self, input_channels, output_channels, ff_channels, dropout, num_heads, attention_modes): super(Attention3d, self).__init__() self.attention_modes = attention_modes self.mhead_attention = nn.MultiheadAttention( embed_dim=input_channels, num_heads=num_heads, dropout=dropout, ) self.drop_out = nn.Dropout(dropout) self.linear1 = nn.Linear(input_channels, ff_channels) self.linear2 = nn.Linear(ff_channels, input_channels) self.dropout1 = nn.Dropout(dropout) self.dropout2 = nn.Dropout(dropout) self.activation = GELU() self.output_layer = nn.Sequential( nn.Linear(input_channels, output_channels), nn.LayerNorm(output_channels), GELU() ) @torch.no_grad() def with_bs_cnt(self, indices, batch_size): bs_cnt = torch.zeros(batch_size).int() for i in range(batch_size): bs_cnt[i] = (indices[:, 0] == i).sum().item() bs_cnt = bs_cnt.to(indices.device) return bs_cnt @torch.no_grad() def with_coords(self, indices, point_cloud_range, voxel_size): voxel_size = torch.tensor(voxel_size).unsqueeze(0).to(indices.device) min_range = torch.tensor(point_cloud_range[0:3]).unsqueeze(0).to(indices.device) coords = (indices[:, [3, 2, 1]].float() + 0.5) * voxel_size + min_range return coords def forward(self, sp_tensor): raise NotImplementedError class SparseAttention3d(Attention3d): def __init__(self, input_channels, output_channels, ff_channels, dropout, num_heads, attention_modes, strides, num_ds_voxels, use_relative_coords=False, use_pooled_feature=False, use_no_query_coords=False): super(SparseAttention3d, self).__init__(input_channels, output_channels, ff_channels, dropout, num_heads, attention_modes) self.use_relative_coords = use_relative_coords self.use_pooled_features = use_pooled_feature self.use_no_query_coords = use_no_query_coords self.strides = strides self.num_ds_voxels = num_ds_voxels self.norm = nn.LayerNorm(input_channels) if not self.use_no_query_coords: self.q_pos_proj = nn.Sequential( nn.Linear(3, input_channels), GELU(), ) self.k_pos_proj = nn.Sequential( nn.Conv1d(3, input_channels, 1), GELU(), ) @torch.no_grad() def create_gather_dict(self, attention_modes, map_table, voxel_indices, spatial_shape): _gather_dict = {} for attention_mode in attention_modes: if attention_mode.NAME == 'LocalAttention': attend_size = attention_mode.SIZE attend_range = attention_mode.RANGE _gather_indices = votr_utils.sparse_local_attention_hash_indices(spatial_shape, attend_size, attend_range, self.strides, map_table, voxel_indices) elif attention_mode.NAME == 'StridedAttention': attend_size = attention_mode.SIZE range_spec = attention_mode.RANGE_SPEC _gather_indices = votr_utils.sparse_strided_attention_hash_indices(spatial_shape, attend_size, range_spec, self.strides, map_table, voxel_indices) else: raise NotImplementedError _gather_mask = (_gather_indices < 0) # _gather_indices[_gather_indices < 0] = 0 _gather_dict[attention_mode.NAME] = [_gather_indices, _gather_mask] return _gather_dict @torch.no_grad() def downsample(self, sp_tensor): x_shape = sp_tensor.spatial_shape[0] // self.strides[0] y_shape = sp_tensor.spatial_shape[1] // self.strides[1] z_shape = sp_tensor.spatial_shape[2] // self.strides[2] new_spatial_shape = [x_shape, y_shape, z_shape] new_indices, new_map_table = votr_utils.hash_table_down_sample(self.strides, self.num_ds_voxels, sp_tensor.batch_size, sp_tensor.hash_size, new_spatial_shape, sp_tensor.indices) return new_spatial_shape, new_indices, new_map_table def forward(self, sp_tensor): new_spatial_shape, new_indices, new_map_table = self.downsample(sp_tensor) vx, vy, vz = sp_tensor.voxel_size new_voxel_size = [vx * self.strides[0], vy * self.strides[1], vz * self.strides[2]] gather_dict = self.create_gather_dict(self.attention_modes, sp_tensor.map_table, new_indices, sp_tensor.spatial_shape) voxel_features = sp_tensor.features v_bs_cnt = self.with_bs_cnt(sp_tensor.indices, sp_tensor.batch_size) k_bs_cnt = self.with_bs_cnt(new_indices, sp_tensor.batch_size) a_key_indices, a_key_mask = [], [] for attention_idx, attetion_mode in enumerate(self.attention_modes): key_indices, key_mask = gather_dict[attetion_mode.NAME] a_key_indices.append(key_indices) a_key_mask.append(key_mask) key_indices = torch.cat(a_key_indices, dim=1) key_mask = torch.cat(a_key_mask, dim=1) key_features = votr_utils.grouping_operation(voxel_features, v_bs_cnt, key_indices, k_bs_cnt) voxel_coords = self.with_coords(sp_tensor.indices, sp_tensor.point_cloud_range, sp_tensor.voxel_size) key_coords = votr_utils.grouping_operation(voxel_coords, v_bs_cnt, key_indices, k_bs_cnt) query_coords = self.with_coords(new_indices, sp_tensor.point_cloud_range, new_voxel_size) if self.use_pooled_features: pooled_query_features = key_features.max(dim=-1)[0] pooled_query_features = pooled_query_features.unsqueeze(0) if self.use_no_query_coords: query_features = pooled_query_features else: query_features = self.q_pos_proj(query_coords).unsqueeze(0) query_features = query_features + pooled_query_features else: query_features = self.q_pos_proj(query_coords).unsqueeze(0) if self.use_relative_coords: key_coords = key_coords - query_coords.unsqueeze(-1) # (N, 3, size) key_pos_emb = self.k_pos_proj(key_coords) key_features = key_features + key_pos_emb key_features = key_features.permute(2, 0, 1).contiguous() # (size, N1+N2, C) attend_features, attend_weights = self.mhead_attention( query=query_features, key=key_features, value=key_features, key_padding_mask=key_mask, ) attend_features = self.drop_out(attend_features) new_features = attend_features.squeeze(0) act_features = self.linear2(self.dropout1(self.activation(self.linear1(new_features)))) new_features = new_features + self.dropout2(act_features) new_features = self.norm(new_features) new_features = self.output_layer(new_features) # update sp_tensor sp_tensor.features = new_features sp_tensor.indices = new_indices sp_tensor.spatial_shape = new_spatial_shape sp_tensor.voxel_size = new_voxel_size del sp_tensor.map_table sp_tensor.gather_dict = None sp_tensor.map_table = new_map_table return sp_tensor class SubMAttention3d(Attention3d): def __init__(self, input_channels, output_channels, ff_channels, dropout, num_heads, attention_modes, use_pos_emb=True, use_relative_coords=False, use_no_query_coords=False): super(SubMAttention3d, self).__init__(input_channels, output_channels, ff_channels, dropout, num_heads, attention_modes) self.use_relative_coords = use_relative_coords self.use_no_query_coords = use_no_query_coords self.use_pos_emb = use_pos_emb self.norm1 = nn.LayerNorm(input_channels) self.norm2 = nn.LayerNorm(input_channels) if self.use_pos_emb: if not self.use_no_query_coords: self.q_pos_proj = nn.Sequential( nn.Linear(3, input_channels), GELU(), ) self.k_pos_proj = nn.Sequential( nn.Conv1d(3, input_channels, 1), GELU(), ) @torch.no_grad() def create_gather_dict(self, attention_modes, map_table, voxel_indices, spatial_shape): _gather_dict = {} for attention_mode in attention_modes: if attention_mode.NAME == 'LocalAttention': attend_size = attention_mode.SIZE attend_range = attention_mode.RANGE _gather_indices = votr_utils.subm_local_attention_hash_indices(spatial_shape, attend_size, attend_range, map_table, voxel_indices) elif attention_mode.NAME == 'StridedAttention': attend_size = attention_mode.SIZE range_spec = attention_mode.RANGE_SPEC _gather_indices = votr_utils.subm_strided_attention_hash_indices(spatial_shape, attend_size, range_spec, map_table, voxel_indices) else: raise NotImplementedError _gather_mask = (_gather_indices < 0) # _gather_indices[_gather_indices < 0] = 0 _gather_dict[attention_mode.NAME] = [_gather_indices, _gather_mask] return _gather_dict def forward(self, sp_tensor): if not sp_tensor.gather_dict: sp_tensor.gather_dict = self.create_gather_dict(self.attention_modes, sp_tensor.map_table, sp_tensor.indices, sp_tensor.spatial_shape) voxel_features = sp_tensor.features v_bs_cnt = self.with_bs_cnt(sp_tensor.indices, sp_tensor.batch_size) k_bs_cnt = v_bs_cnt.clone() a_key_indices, a_key_mask = [], [] for attention_idx, attetion_mode in enumerate(self.attention_modes): key_indices, key_mask = sp_tensor.gather_dict[attetion_mode.NAME] a_key_indices.append(key_indices) a_key_mask.append(key_mask) key_indices = torch.cat(a_key_indices, dim=1) key_mask = torch.cat(a_key_mask, dim=1) query_features = voxel_features.unsqueeze(0) # (1, N1+N2, C) key_features = votr_utils.grouping_operation(voxel_features, v_bs_cnt, key_indices, k_bs_cnt) if self.use_pos_emb: voxel_coords = self.with_coords(sp_tensor.indices, sp_tensor.point_cloud_range, sp_tensor.voxel_size) key_coords = votr_utils.grouping_operation(voxel_coords, v_bs_cnt, key_indices, k_bs_cnt) if self.use_relative_coords: key_coords = key_coords - voxel_coords.unsqueeze(-1) key_pos_emb = self.k_pos_proj(key_coords) key_features = key_features + key_pos_emb if self.use_no_query_coords: pass else: query_pos_emb = self.q_pos_proj(voxel_coords).unsqueeze(0) query_features = query_features + query_pos_emb key_features = key_features.permute(2, 0, 1).contiguous() # (size, N1+N2, C) attend_features, attend_weights = self.mhead_attention( query=query_features, key=key_features, value=key_features, key_padding_mask=key_mask, ) attend_features = self.drop_out(attend_features) voxel_features = voxel_features + attend_features.squeeze(0) voxel_features = self.norm1(voxel_features) act_features = self.linear2(self.dropout1(self.activation(self.linear1(voxel_features)))) voxel_features = voxel_features + self.dropout2(act_features) voxel_features = self.norm2(voxel_features) voxel_features = self.output_layer(voxel_features) sp_tensor.features = voxel_features return sp_tensor class AttentionResBlock(nn.Module): def __init__(self, model_cfg, use_relative_coords=False, use_pooled_feature=False, use_no_query_coords=False): super(AttentionResBlock, self).__init__() sp_cfg = model_cfg.SP_CFGS self.sp_attention = SparseAttention3d( input_channels=sp_cfg.CHANNELS[0], output_channels=sp_cfg.CHANNELS[2], ff_channels=sp_cfg.CHANNELS[1], dropout=sp_cfg.DROPOUT, num_heads=sp_cfg.NUM_HEADS, attention_modes=sp_cfg.ATTENTION, strides=sp_cfg.STRIDE, num_ds_voxels=sp_cfg.NUM_DS_VOXELS, use_relative_coords=use_relative_coords, use_pooled_feature=use_pooled_feature, use_no_query_coords=use_no_query_coords, ) subm_cfg = model_cfg.SUBM_CFGS self.subm_attention_modules = nn.ModuleList() for i in range(subm_cfg.NUM_BLOCKS): self.subm_attention_modules.append(SubMAttention3d( input_channels=subm_cfg.CHANNELS[0], output_channels=subm_cfg.CHANNELS[2], ff_channels=subm_cfg.CHANNELS[1], dropout=subm_cfg.DROPOUT, num_heads=subm_cfg.NUM_HEADS, attention_modes=subm_cfg.ATTENTION, use_pos_emb=subm_cfg.USE_POS_EMB, use_relative_coords=use_relative_coords, use_no_query_coords=use_no_query_coords, )) def forward(self, sp_tensor): sp_tensor = self.sp_attention(sp_tensor) indentity_features = sp_tensor.features for subm_module in self.subm_attention_modules: sp_tensor = subm_module(sp_tensor) sp_tensor.features += indentity_features return sp_tensor class VoxelTransformer(nn.Module): def __init__(self, model_cfg, input_channels, grid_size, voxel_size, point_cloud_range): super(VoxelTransformer, self).__init__() self.model_cfg = model_cfg self.use_relative_coords = self.model_cfg.get('USE_RELATIVE_COORDS', False) self.use_pooled_feature = self.model_cfg.get('USE_POOLED_FEATURE', False) self.use_no_query_coords = self.model_cfg.get('USE_NO_QUERY_COORDS', False) self.grid_size = grid_size self.voxel_size = voxel_size self.point_cloud_range = point_cloud_range self.input_transform = nn.Sequential( nn.Linear(input_channels, 16), nn.LayerNorm(16), GELU() ) self.backbone = nn.ModuleList() for param in self.model_cfg.PARAMS: self.backbone.append( AttentionResBlock(param, self.use_relative_coords, self.use_pooled_feature, self.use_no_query_coords)) self.num_point_features = self.model_cfg.NUM_OUTPUT_FEATURES def forward(self, batch_dict): voxel_features, voxel_coords = batch_dict['voxel_features'], batch_dict['voxel_coords'] batch_size = batch_dict['batch_size'] voxel_features = self.input_transform(voxel_features) sp_tensor = SparseTensor( features=voxel_features, indices=voxel_coords.int(), spatial_shape=self.grid_size, voxel_size=self.voxel_size, point_cloud_range=self.point_cloud_range, batch_size=batch_size, hash_size=self.model_cfg.HASH_SIZE, map_table=None, gather_dict=None, ) for attention_block in self.backbone: sp_tensor = attention_block(sp_tensor) batch_dict.update({ 'encoded_spconv_tensor': sp_tensor, 'encoded_spconv_tensor_stride': 8 }) return batch_dict class SparseAttention3dv2(Attention3d): def __init__(self, input_channels, output_channels, ff_channels, dropout, num_heads, attention_modes, strides, num_ds_voxels, use_relative_coords=False, use_pooled_feature=False, use_no_query_coords=False, global_mode=None): super(SparseAttention3dv2, self).__init__(input_channels, output_channels, ff_channels, dropout, num_heads, attention_modes) self.use_relative_coords = use_relative_coords self.use_pooled_features = use_pooled_feature self.use_no_query_coords = use_no_query_coords self.strides = strides self.num_ds_voxels = num_ds_voxels self.norm = nn.LayerNorm(input_channels) if not self.use_no_query_coords: self.q_pos_proj = nn.Sequential( nn.Linear(3, input_channels), GELU(), ) self.k_pos_proj = nn.Sequential( nn.Conv1d(3, input_channels, 1), GELU(), ) self.global_mode = global_mode if self.global_mode: self.global_feat2coords = nn.Sequential( nn.Linear(input_channels, input_channels), nn.LayerNorm(input_channels), GELU(), nn.Linear(input_channels, input_channels), nn.LayerNorm(input_channels), GELU(), nn.Linear(input_channels, 3) ) def global_attention(self, query_features, query_indices, batch_size): """ Args: query_features: (N, C) query_indices: (N, 4) Returns: global_features: (N, K, C) K is global size global_coords: (N, K, 3) """ assert self.global_mode is not None K = self.global_mode.SIZE global_features, global_coords = [], [] for batch_idx in range(batch_size): query_features_single = query_features[query_indices[:, 0] == batch_idx, :] num_voxels_single = query_features_single.shape[0] if self.global_mode.TYPE == 'TopK': global_features_single = torch.topk(query_features_single, K, dim=0)[0] # (K, C) global_coords_single = self.global_feat2coords(global_features_single) # (K, 3) elif self.global_mode.TYPE == 'SVD': with torch.no_grad(): pca_features = query_features_single.transpose(0, 1).contiguous() # (C, N) _, _, v = torch.pca_lowrank(pca_features, q=K) # (N, K) global_features_single = torch.matmul(pca_features, v).transpose(0, 1).contiguous() # (K, C) global_coords_single = self.global_feat2coords(global_features_single) else: raise NotImplementedError global_features_single = global_features_single.transpose(0, 1).contiguous() # (C, K) global_coords_single = global_coords_single.transpose(0, 1).contiguous() # (3, K) global_features_single = global_features_single.unsqueeze(0).repeat(num_voxels_single, 1, 1) # (N, C, K) global_coords_single = global_coords_single.unsqueeze(0).repeat(num_voxels_single, 1, 1) # (N, 3, K) global_features.append(global_features_single) global_coords.append(global_coords_single) global_features = torch.cat(global_features, dim=0) global_coords = torch.cat(global_coords, dim=0) return global_features, global_coords @torch.no_grad() def create_gather_dict(self, attention_modes, map_table, voxel_indices, spatial_shape): _gather_dict = {} for attention_mode in attention_modes: if attention_mode.NAME == 'LocalAttention': attend_size = attention_mode.SIZE attend_range = attention_mode.RANGE _gather_indices = votr_utils.sparse_local_attention_hash_indices(spatial_shape, attend_size, attend_range, self.strides, map_table, voxel_indices) elif attention_mode.NAME == 'StridedAttention': attend_size = attention_mode.SIZE range_spec = attention_mode.RANGE_SPEC _gather_indices = votr_utils.sparse_strided_attention_hash_indices(spatial_shape, attend_size, range_spec, self.strides, map_table, voxel_indices) else: raise NotImplementedError _gather_mask = (_gather_indices < 0) # _gather_indices[_gather_indices < 0] = 0 _gather_dict[attention_mode.NAME] = [_gather_indices, _gather_mask] return _gather_dict @torch.no_grad() def downsample(self, sp_tensor): x_shape = sp_tensor.spatial_shape[0] // self.strides[0] y_shape = sp_tensor.spatial_shape[1] // self.strides[1] z_shape = sp_tensor.spatial_shape[2] // self.strides[2] new_spatial_shape = [x_shape, y_shape, z_shape] new_indices, new_map_table = votr_utils.hash_table_down_sample(self.strides, self.num_ds_voxels, sp_tensor.batch_size, sp_tensor.hash_size, new_spatial_shape, sp_tensor.indices) return new_spatial_shape, new_indices, new_map_table def forward(self, sp_tensor): new_spatial_shape, new_indices, new_map_table = self.downsample(sp_tensor) vx, vy, vz = sp_tensor.voxel_size new_voxel_size = [vx * self.strides[0], vy * self.strides[1], vz * self.strides[2]] gather_dict = self.create_gather_dict(self.attention_modes, sp_tensor.map_table, new_indices, sp_tensor.spatial_shape) voxel_features = sp_tensor.features v_bs_cnt = self.with_bs_cnt(sp_tensor.indices, sp_tensor.batch_size) k_bs_cnt = self.with_bs_cnt(new_indices, sp_tensor.batch_size) a_key_indices, a_key_mask = [], [] for attention_idx, attetion_mode in enumerate(self.attention_modes): key_indices, key_mask = gather_dict[attetion_mode.NAME] a_key_indices.append(key_indices) a_key_mask.append(key_mask) key_indices = torch.cat(a_key_indices, dim=1) key_mask = torch.cat(a_key_mask, dim=1) key_features = votr_utils.grouping_operation(voxel_features, v_bs_cnt, key_indices, k_bs_cnt) voxel_coords = self.with_coords(sp_tensor.indices, sp_tensor.point_cloud_range, sp_tensor.voxel_size) key_coords = votr_utils.grouping_operation(voxel_coords, v_bs_cnt, key_indices, k_bs_cnt) query_coords = self.with_coords(new_indices, sp_tensor.point_cloud_range, new_voxel_size) if self.use_pooled_features: pooled_query_features = key_features.max(dim=-1)[0] pooled_query_features = pooled_query_features.unsqueeze(0) if self.use_no_query_coords: query_features = pooled_query_features else: query_features = self.q_pos_proj(query_coords).unsqueeze(0) query_features = query_features + pooled_query_features else: query_features = self.q_pos_proj(query_coords).unsqueeze(0) if self.global_mode: global_key_features, global_key_coords = self.global_attention(query_features=query_features.squeeze(0), query_indices=new_indices, batch_size=sp_tensor.batch_size) key_features = torch.cat([key_features, global_key_features], dim=2) # (N, C, size+K) key_coords = torch.cat([key_coords, global_key_coords], dim=2) # (N, 3, size+K) global_key_mask = torch.zeros((key_mask.shape[0], self.global_mode.SIZE), dtype=key_mask.dtype).to( key_mask.device) key_mask = torch.cat([key_mask, global_key_mask], dim=1) if self.use_relative_coords: key_coords = key_coords - query_coords.unsqueeze(-1) # (N, 3, size) key_pos_emb = self.k_pos_proj(key_coords) key_features = key_features + key_pos_emb key_features = key_features.permute(2, 0, 1).contiguous() # (size, N1+N2, C) attend_features, attend_weights = self.mhead_attention( query=query_features, key=key_features, value=key_features, key_padding_mask=key_mask, ) attend_features = self.drop_out(attend_features) new_features = attend_features.squeeze(0) act_features = self.linear2(self.dropout1(self.activation(self.linear1(new_features)))) new_features = new_features + self.dropout2(act_features) new_features = self.norm(new_features) new_features = self.output_layer(new_features) # update sp_tensor sp_tensor.features = new_features sp_tensor.indices = new_indices sp_tensor.spatial_shape = new_spatial_shape sp_tensor.voxel_size = new_voxel_size del sp_tensor.map_table sp_tensor.gather_dict = None sp_tensor.map_table = new_map_table return sp_tensor class SubMAttention3dv2(Attention3d): def __init__(self, input_channels, output_channels, ff_channels, dropout, num_heads, attention_modes, use_pos_emb=True, use_relative_coords=False, use_no_query_coords=False, global_mode=None): super(SubMAttention3dv2, self).__init__(input_channels, output_channels, ff_channels, dropout, num_heads, attention_modes) self.use_relative_coords = use_relative_coords self.use_no_query_coords = use_no_query_coords self.use_pos_emb = use_pos_emb self.norm1 = nn.LayerNorm(input_channels) self.norm2 = nn.LayerNorm(input_channels) if self.use_pos_emb: if not self.use_no_query_coords: self.q_pos_proj = nn.Sequential( nn.Linear(3, input_channels), GELU(), ) self.k_pos_proj = nn.Sequential( nn.Conv1d(3, input_channels, 1), GELU(), ) self.global_mode = global_mode if self.global_mode: self.global_feat2coords = nn.Sequential( nn.Linear(input_channels, input_channels), nn.LayerNorm(input_channels), GELU(), nn.Linear(input_channels, input_channels), nn.LayerNorm(input_channels), GELU(), nn.Linear(input_channels, 3) ) def global_attention(self, query_features, query_indices, batch_size): """ Args: query_features: (N, C) query_indices: (N, 4) Returns: global_features: (N, K, C) K is global size global_coords: (N, K, 3) """ assert self.global_mode is not None K = self.global_mode.SIZE global_features, global_coords = [], [] for batch_idx in range(batch_size): query_features_single = query_features[query_indices[:, 0] == batch_idx, :] num_voxels_single = query_features_single.shape[0] if self.global_mode.TYPE == 'TopK': global_features_single = torch.topk(query_features_single, K, dim=0)[0] # (K, C) global_coords_single = self.global_feat2coords(global_features_single) # (K, 3) elif self.global_mode.TYPE == 'SVD': with torch.no_grad(): pca_features = query_features_single.transpose(0, 1).contiguous() # (C, N) _, _, v = torch.pca_lowrank(pca_features, q=K) # (N, K) global_features_single = torch.matmul(pca_features, v).transpose(0, 1).contiguous() # (K, C) global_coords_single = self.global_feat2coords(global_features_single) else: raise NotImplementedError global_features_single = global_features_single.transpose(0, 1).contiguous() # (C, K) global_coords_single = global_coords_single.transpose(0, 1).contiguous() # (3, K) global_features_single = global_features_single.unsqueeze(0).repeat(num_voxels_single, 1, 1) # (N, C, K) global_coords_single = global_coords_single.unsqueeze(0).repeat(num_voxels_single, 1, 1) # (N, 3, K) global_features.append(global_features_single) global_coords.append(global_coords_single) global_features = torch.cat(global_features, dim=0) global_coords = torch.cat(global_coords, dim=0) return global_features, global_coords @torch.no_grad() def create_gather_dict(self, attention_modes, map_table, voxel_indices, spatial_shape): _gather_dict = {} for attention_mode in attention_modes: if attention_mode.NAME == 'LocalAttention': attend_size = attention_mode.SIZE attend_range = attention_mode.RANGE _gather_indices = votr_utils.subm_local_attention_hash_indices(spatial_shape, attend_size, attend_range, map_table, voxel_indices) elif attention_mode.NAME == 'StridedAttention': attend_size = attention_mode.SIZE range_spec = attention_mode.RANGE_SPEC _gather_indices = votr_utils.subm_strided_attention_hash_indices(spatial_shape, attend_size, range_spec, map_table, voxel_indices) else: raise NotImplementedError _gather_mask = (_gather_indices < 0) # _gather_indices[_gather_indices < 0] = 0 _gather_dict[attention_mode.NAME] = [_gather_indices, _gather_mask] return _gather_dict def forward(self, sp_tensor): if not sp_tensor.gather_dict: sp_tensor.gather_dict = self.create_gather_dict(self.attention_modes, sp_tensor.map_table, sp_tensor.indices, sp_tensor.spatial_shape) voxel_features = sp_tensor.features v_bs_cnt = self.with_bs_cnt(sp_tensor.indices, sp_tensor.batch_size) k_bs_cnt = v_bs_cnt.clone() a_key_indices, a_key_mask = [], [] for attention_idx, attetion_mode in enumerate(self.attention_modes): key_indices, key_mask = sp_tensor.gather_dict[attetion_mode.NAME] a_key_indices.append(key_indices) a_key_mask.append(key_mask) key_indices = torch.cat(a_key_indices, dim=1) key_mask = torch.cat(a_key_mask, dim=1) query_features = voxel_features.unsqueeze(0) # (1, N1+N2, C) key_features = votr_utils.grouping_operation(voxel_features, v_bs_cnt, key_indices, k_bs_cnt) if self.global_mode: global_key_features, global_key_coords = self.global_attention(query_features=query_features.squeeze(0), query_indices=sp_tensor.indices, batch_size=sp_tensor.batch_size) key_features = torch.cat([key_features, global_key_features], dim=2) # (N, C, size+K) global_key_mask = torch.zeros((key_mask.shape[0], self.global_mode.SIZE), dtype=key_mask.dtype).to( key_mask.device) key_mask = torch.cat([key_mask, global_key_mask], dim=1) if self.use_pos_emb: voxel_coords = self.with_coords(sp_tensor.indices, sp_tensor.point_cloud_range, sp_tensor.voxel_size) key_coords = votr_utils.grouping_operation(voxel_coords, v_bs_cnt, key_indices, k_bs_cnt) # added if self.global_mode: key_coords = torch.cat([key_coords, global_key_coords], dim=2) # (N, 3, size+K) if self.use_relative_coords: key_coords = key_coords - voxel_coords.unsqueeze(-1) key_pos_emb = self.k_pos_proj(key_coords) key_features = key_features + key_pos_emb if self.use_no_query_coords: pass else: query_pos_emb = self.q_pos_proj(voxel_coords).unsqueeze(0) query_features = query_features + query_pos_emb key_features = key_features.permute(2, 0, 1).contiguous() # (size, N1+N2, C) attend_features, attend_weights = self.mhead_attention( query=query_features, key=key_features, value=key_features, key_padding_mask=key_mask, ) attend_features = self.drop_out(attend_features) voxel_features = voxel_features + attend_features.squeeze(0) voxel_features = self.norm1(voxel_features) act_features = self.linear2(self.dropout1(self.activation(self.linear1(voxel_features)))) voxel_features = voxel_features + self.dropout2(act_features) voxel_features = self.norm2(voxel_features) voxel_features = self.output_layer(voxel_features) sp_tensor.features = voxel_features return sp_tensor class AttentionResBlockv2(nn.Module): def __init__(self, model_cfg, use_relative_coords=False, use_pooled_feature=False, use_no_query_coords=False): super(AttentionResBlockv2, self).__init__() sp_cfg = model_cfg.SP_CFGS self.sp_attention = SparseAttention3dv2( input_channels=sp_cfg.CHANNELS[0], output_channels=sp_cfg.CHANNELS[2], ff_channels=sp_cfg.CHANNELS[1], dropout=sp_cfg.DROPOUT, num_heads=sp_cfg.NUM_HEADS, attention_modes=sp_cfg.ATTENTION, strides=sp_cfg.STRIDE, num_ds_voxels=sp_cfg.NUM_DS_VOXELS, use_relative_coords=use_relative_coords, use_pooled_feature=use_pooled_feature, use_no_query_coords=use_no_query_coords, global_mode=sp_cfg.get('GLOBAL_MODE', None), ) subm_cfg = model_cfg.SUBM_CFGS self.subm_attention_modules = nn.ModuleList() for i in range(subm_cfg.NUM_BLOCKS): self.subm_attention_modules.append(SubMAttention3dv2( input_channels=subm_cfg.CHANNELS[0], output_channels=subm_cfg.CHANNELS[2], ff_channels=subm_cfg.CHANNELS[1], dropout=subm_cfg.DROPOUT, num_heads=subm_cfg.NUM_HEADS, attention_modes=subm_cfg.ATTENTION, use_pos_emb=subm_cfg.USE_POS_EMB, use_relative_coords=use_relative_coords, use_no_query_coords=use_no_query_coords, global_mode=subm_cfg.get('GLOBAL_MODE', None), )) def forward(self, sp_tensor): sp_tensor = self.sp_attention(sp_tensor) indentity_features = sp_tensor.features for subm_module in self.subm_attention_modules: sp_tensor = subm_module(sp_tensor) sp_tensor.features += indentity_features return sp_tensor class VoxelTransformerV2(nn.Module): def __init__(self, model_cfg, input_channels, grid_size, voxel_size, point_cloud_range): super(VoxelTransformerV2, self).__init__() self.model_cfg = model_cfg self.use_relative_coords = self.model_cfg.get('USE_RELATIVE_COORDS', False) self.use_pooled_feature = self.model_cfg.get('USE_POOLED_FEATURE', False) self.use_no_query_coords = self.model_cfg.get('USE_NO_QUERY_COORDS', False) self.grid_size = grid_size self.voxel_size = voxel_size self.point_cloud_range = point_cloud_range self.input_transform = nn.Sequential( nn.Linear(input_channels, 16), nn.LayerNorm(16), nn.ReLU() ) self.backbone = nn.ModuleList() for param in self.model_cfg.PARAMS: self.backbone.append( AttentionResBlockv2(param, self.use_relative_coords, self.use_pooled_feature, self.use_no_query_coords)) self.num_point_features = self.model_cfg.NUM_OUTPUT_FEATURES def forward(self, batch_dict): voxel_features, voxel_coords = batch_dict['voxel_features'], batch_dict['voxel_coords'] batch_size = batch_dict['batch_size'] voxel_features = self.input_transform(voxel_features) sp_tensor = SparseTensor( features=voxel_features, indices=voxel_coords.int(), spatial_shape=self.grid_size, voxel_size=self.voxel_size, point_cloud_range=self.point_cloud_range, batch_size=batch_size, hash_size=self.model_cfg.HASH_SIZE, map_table=None, gather_dict=None, ) for attention_block in self.backbone: sp_tensor = attention_block(sp_tensor) batch_dict.update({ 'encoded_spconv_tensor': sp_tensor, 'encoded_spconv_tensor_stride': 8 }) return batch_dict class SparseConvTensor(object): def __init__(self, features, indices): self.features = features self.indices = indices class VoxelTransformerV3(nn.Module): def __init__(self, model_cfg, input_channels, grid_size, voxel_size, point_cloud_range): super(VoxelTransformerV3, self).__init__() self.model_cfg = model_cfg self.use_relative_coords = self.model_cfg.get('USE_RELATIVE_COORDS', False) self.use_pooled_feature = self.model_cfg.get('USE_POOLED_FEATURE', False) self.use_no_query_coords = self.model_cfg.get('USE_NO_QUERY_COORDS', False) self.grid_size = grid_size self.voxel_size = voxel_size self.point_cloud_range = point_cloud_range self.input_transform = nn.Sequential( nn.Linear(input_channels, 16), nn.LayerNorm(16), nn.ReLU() ) self.backbone = nn.ModuleList() for param in self.model_cfg.PARAMS: self.backbone.append( AttentionResBlock(param, self.use_relative_coords, self.use_pooled_feature, self.use_no_query_coords)) self.num_point_features = self.model_cfg.NUM_OUTPUT_FEATURES def forward(self, batch_dict): voxel_features, voxel_coords = batch_dict['voxel_features'], batch_dict['voxel_coords'] batch_size = batch_dict['batch_size'] voxel_features = self.input_transform(voxel_features) x_convs = [SparseConvTensor( features=voxel_features, indices=voxel_coords.int(), )] sp_tensor = SparseTensor( features=voxel_features, indices=voxel_coords.int(), spatial_shape=self.grid_size, voxel_size=self.voxel_size, point_cloud_range=self.point_cloud_range, batch_size=batch_size, hash_size=self.model_cfg.HASH_SIZE, map_table=None, gather_dict=None, ) for attention_block in self.backbone: sp_tensor = attention_block(sp_tensor) x_convs.append(SparseConvTensor( features=sp_tensor.features, indices=sp_tensor.indices, )) batch_dict.update({ 'multi_scale_3d_features': { 'x_conv1': x_convs[0], 'x_conv2': x_convs[1], 'x_conv3': x_convs[2], 'x_conv4': x_convs[3], } }) batch_dict.update({ 'encoded_spconv_tensor': sp_tensor, 'encoded_spconv_tensor_stride': 8 }) return batch_dict

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07d5e31c924c9235f1cd7ee2e5b7e352c13fb893

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py

Python

src/PCA_scatter_plot.py

caticoa3/malaria_hero

cf6d437b13ed7611b3fee377a4d5aed6e190ddb1

[ "BSD-3-Clause" ]

53

2018-11-05T20:58:43.000Z

2020-12-03T14:56:06.000Z

src/PCA_scatter_plot.py

caticoa3/malaria_hero

cf6d437b13ed7611b3fee377a4d5aed6e190ddb1

[ "BSD-3-Clause" ]

1

2020-05-26T22:14:02.000Z

src/PCA_scatter_plot.py

caticoa3/malaria_hero

cf6d437b13ed7611b3fee377a4d5aed6e190ddb1

[ "BSD-3-Clause" ]

14

2018-11-06T04:55:34.000Z

2020-12-29T11:14:28.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Wed Mar 21 22:39:05 2018 @author: Carlos A Ariza, PhD """ #import pickle as pkl import pandas as pd from itertools import combinations #import matplotlib import matplotlib.pyplot as plt import numpy as np import seaborn #feat_df = pd.read_csv('../data/factors_n_bn_feat.csv',index_col= 0) ## #feat_df = feat_df.iloc[:,0:20] #mask = feat_df.loc[:,'label'].isin(['TUJ1','RIP']) #feat_df = feat_df.loc[mask,:] # ## ###y = feat_df.loc[:,'label'] ##print('Number of samples for each label \n', feat_df.groupby('label')['label'].count()) #X = feat_df.loc[:,'x0':].values #labels_DF=feat_df.iloc[:,0:7] def plot_pca(X, labels_DF, enable_plotting=True): # X = pd.read_pickle(pickled_PCA_file) # labels_DF = pd.read_csv(labels) n_comp = X.shape[1] label = labels_DF.loc[:,'label'] label_set = set(label) label_list = list(label_set) print(label_set) # -- plotting if (enable_plotting) and (n_comp < 21): print('plotting scatter plots...') comp_list = list(combinations(range(X.shape[1]), 2)) if len(comp_list) < 20: fig, subplots = plt.subplots(comp_list[-1][0],round( (len(comp_list)+0.5)/comp_list[-1][0]), squeeze=True,figsize=(15,8.5)) else: fig, subplots = plt.subplots(comp_list[-1][0]-2,round( len(comp_list)/(comp_list[-1][0]-2)), figsize=(15,8.5)) subplots = subplots.ravel() #Make labels to indicate predicted value #-1 True positive #-2 False positive #1 True negative #2 False negative legend_dict = {label_list[0]:label_list[0],-2:'FP',label_list[1]:label_list[1],2:'FN'} if 'y_true' in labels_DF.columns: mask_TN = ((y_true_1s == data.loc[:,'label_svm']) & (y_true_1s == 1)) labels_DF.loc[mask_TN, 'TPTNFPFN'] = 1 mask_TP = ((y_true_1s == data['label_svm']) & (y_true_1s == -1)) labels_DF.loc[mask_TP,'TPTNFPFN'] = -1 mask_FN = ((y_true_1s != data['label_svm']) & (y_true_1s == 1)) labels_DF.loc[mask_FN,'TPTNFPFN'] = -2 mask_FP = ((y_true_1s != data['label_svm']) & (y_true_1s == -1)) labels_DF.loc[mask_FP,'TPTNFPFN'] = 2 colors = [y_true_1s, labels_DF.loc[:,'TPTNFPFN']] order = [1,-1,-2,2] #bottom to top order for overlaping points on plot. # print(labels_DF.groupby('TPTNFPFN').size()) else: colors = [label] order = [1,-1] #bottom to top order for overlaping points on plot. def pairwise_scatter_plots(j, comp_list, zorders, grouped,legend_dict): for i, n in enumerate(comp_list): for key, group in grouped: group.plot(ax=subplots[i], kind='scatter', x=n[0], y=n[1], label=key, color=colors_dict[key],s=0.7, zorder=zorders[key],legend=False, alpha=0.6) subplots[i].tick_params(labelsize = 5, direction = 'in') # labelbottom='off', axis='both', which='both', # bottom='off', top='off') # subplots[i].xaxis.set_ticklabels([]) # subplots[i].yaxis.set_ticklabels([]) subplots[i].xaxis.label.set_visible(False) subplots[i].yaxis.label.set_visible(False) subplots[i].text(0.5,0.9,'{0} vs {1}'.format(n[0],n[1]), horizontalalignment='center',transform=subplots[i].transAxes, size=8) # -- adding figure legend lp = lambda i: plt.plot([],color=colors_dict[i],ms=np.sqrt(25), mec="none", label="{}".format(legend_dict[i]), ls="", marker="o")[0] handles = [lp(i) for i in np.unique(color)] # plt.figlegend(handles, bbox_to_anchor=(1.05, 0), loc='lower left', # borderaxespad=0.) plt.figlegend(loc='upper left', borderaxespad=0., ncol=4) plt.suptitle('{} Principle Components'.format(n_comp)) fig.tight_layout() plt.subplots_adjust(top=0.915, bottom=0.045, left=0.02, right=0.988, hspace=0.2, wspace=0.1) fig.savefig('../plots/{0}_PC-scatter_plots_{1}.png'.format( n_comp,j), dpi=600) PCAprojectedDF = pd.DataFrame(X) colors_dict = {-2:'blue', label_list[0]:'red', label_list[1]:'green', 2:'orange'} zorders = {-2:3, label_list[0]:2, label_list[1]:1, 2:4} for j, color in enumerate(colors): #Plot with PCAprojectedDF.loc[:,'label'] = color grouped = PCAprojectedDF.groupby('label') pairwise_scatter_plots(j=j, comp_list=comp_list, zorders=zorders, grouped=grouped,legend_dict=legend_dict) #Make one more plot with the True negatives plotted on top # PCAprojectedDF.loc[:,'label'] = labels_DF.loc[:,'TPTNFPFN'] grouped = PCAprojectedDF.groupby('label') zorders = {-2:2, label_list[0]:4, label_list[1]:1, 2:3} pairwise_scatter_plots(j=2, comp_list=comp_list, zorders=zorders, grouped=grouped,legend_dict=legend_dict) print('...scatter plots saved in ../plots/ folder') # --seaborn scatter matrix ## PCAprojectedDF = feat_df # feature_names = feat_df.columns[7:] # pp = seaborn.pairplot(feat_df, vars=feature_names, # hue='group_idx', #hue_order = order, #size=5, #aspect=7, # markers='.', # plot_kws=dict(s=15, linewidth=0), # grid_kws=dict(despine = False)) # pp.fig.set_size_inches(14.4,14.4) #(14.4,14.4) ## plt.rcParams['figure.figsize']=(10,10) ## for ax in pp.diag_axes: ax.set_visible(False) ## seaborn.axes_style() # plt.tight_layout() # plt.subplots_adjust(top=0.94,wspace=0.04, hspace=0.04, bottom=0.06, # left= 0.04) # plt.suptitle('{} Principle Components'.format(n_comp)) # pp.savefig('../plots/{0}_PC-seaborn_pairplots.png'.format( # n_comp), dpi=500) #plot_pca(X, enable_plotting=True,labels_DF=labels_DF) def seaborn_pairwise_plot(feat_df, color_index=None,feature_names=None, n_comp=None): pp = seaborn.pairplot(feat_df, vars=feature_names, hue=color_index, #hue_order = order, #size=5, #aspect=7, markers='.', plot_kws=dict(s=15, linewidth=0), grid_kws=dict(despine = False)) pp.fig.set_size_inches(14.4,14.4) #(14.4,14.4) # plt.rcParams['figure.figsize']=(10,10) # for ax in pp.diag_axes: ax.set_visible(False) # seaborn.axes_style() plt.tight_layout() plt.subplots_adjust(top=0.94,wspace=0.04, hspace=0.04, bottom=0.06, left= 0.04) plt.suptitle('{} Principle Components'.format(n_comp)) pp.savefig('../plots/{0}_PC-seaborn_pairplots.png'.format(n_comp), dpi=500) def caa_plot_pairs(X, labels_DF, **kwargs): '''Pairwise plots of features. This is a custom ploting function that differes from standard pairwise scatter matrices plots in libraries like the seaborn or pandas's scatter_matrix(): only scatter plots - no diagonal reduntant lower portion of the square.''' n_comp = X.shape[1] label = labels_DF.loc[:,'label'] label_set = set(label) label_list = list(label_set) print(label_set) # -- plotting if (n_comp < 21): print('plotting scatter plots...') comp_list = list(combinations(range(X.shape[1]), 2)) if len(comp_list) < 20: fig, subplots = plt.subplots(comp_list[-1][0],round( (len(comp_list)+0.5)/comp_list[-1][0]), squeeze=True,figsize=(15,8.5)) else: fig, subplots = plt.subplots(comp_list[-1][0]-2,round( len(comp_list)/(comp_list[-1][0]-2)), figsize=(15,8.5)) subplots = subplots.ravel() #Make labels to indicate predicted value #-1 True positive #-2 False positive #1 True negative #2 False negative legend_dict = {label_list[0]:label_list[0],-2:'FP',label_list[1]:label_list[1],2:'FN'} if 'y_true' in labels_DF.columns: mask_TN = ((y_true_1s == data.loc[:,'label_svm']) & (y_true_1s == 1)) labels_DF.loc[mask_TN, 'TPTNFPFN'] = 1 mask_TP = ((y_true_1s == data['label_svm']) & (y_true_1s == -1)) labels_DF.loc[mask_TP,'TPTNFPFN'] = -1 mask_FN = ((y_true_1s != data['label_svm']) & (y_true_1s == 1)) labels_DF.loc[mask_FN,'TPTNFPFN'] = -2 mask_FP = ((y_true_1s != data['label_svm']) & (y_true_1s == -1)) labels_DF.loc[mask_FP,'TPTNFPFN'] = 2 colors = [y_true_1s, labels_DF.loc[:,'TPTNFPFN']] order = [1,-1,-2,2] #bottom to top order for overlaping points on plot. # print(labels_DF.groupby('TPTNFPFN').size()) else: colors = [label] order = [1,-1] #bottom to top order for overlaping points on plot. def pairwise_scatter_plots(j, comp_list, zorders, grouped,legend_dict): for i, n in enumerate(comp_list): for key, group in grouped: group.plot(ax=subplots[i], kind='scatter', x=n[0], y=n[1], label=key, color=colors_dict[key],s=0.7, zorder=zorders[key],legend=False, alpha=0.6) subplots[i].tick_params(labelsize = 5, direction = 'in') # labelbottom='off', axis='both', which='both', # bottom='off', top='off') # subplots[i].xaxis.set_ticklabels([]) # subplots[i].yaxis.set_ticklabels([]) subplots[i].xaxis.label.set_visible(False) subplots[i].yaxis.label.set_visible(False) subplots[i].text(0.5,0.9,'{0} vs {1}'.format(n[0],n[1]), horizontalalignment='center',transform=subplots[i].transAxes, size=8) # -- adding figure legend lp = lambda i: plt.plot([],color=colors_dict[i],ms=np.sqrt(25), mec="none", label="{}".format(legend_dict[i]), ls="", marker="o")[0] handles = [lp(i) for i in np.unique(color)] # plt.figlegend(handles, bbox_to_anchor=(1.05, 0), loc='lower left', # borderaxespad=0.) plt.figlegend(loc='upper left', borderaxespad=0., ncol=4) plt.suptitle('{} Principle Components'.format(n_comp)) fig.tight_layout() plt.subplots_adjust(top=0.915, bottom=0.045, left=0.02, right=0.988, hspace=0.2, wspace=0.1) fig.savefig('../plots/{0}_PC-scatter_plots_{1}.png'.format( n_comp,j), dpi=600) PCAprojectedDF = pd.DataFrame(X) colors_dict = {-2:'blue', label_list[0]:'red', label_list[1]:'green', 2:'orange'} zorders = {-2:3, label_list[0]:2, label_list[1]:1, 2:4} for j, color in enumerate(colors): #Plot with PCAprojectedDF.loc[:,'label'] = color grouped = PCAprojectedDF.groupby('label') pairwise_scatter_plots(j=j, comp_list=comp_list, zorders=zorders, grouped=grouped,legend_dict=legend_dict) #Make one more plot with the True negatives plotted on top # PCAprojectedDF.loc[:,'label'] = labels_DF.loc[:,'TPTNFPFN'] grouped = PCAprojectedDF.groupby('label') zorders = {-2:2, label_list[0]:4, label_list[1]:1, 2:3} pairwise_scatter_plots(j=2, comp_list=comp_list, zorders=zorders, grouped=grouped,legend_dict=legend_dict) print('...scatter plots saved in ../plots/ folder')

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Python

problem_008/number.py

Faerbit/ProjectEuler

c66c88c3da33e3744924fd3d7ae62e596d70c288

[ "MIT" ]

null

problem_008/number.py

Faerbit/ProjectEuler

c66c88c3da33e3744924fd3d7ae62e596d70c288

[ "MIT" ]

null

problem_008/number.py

Faerbit/ProjectEuler

c66c88c3da33e3744924fd3d7ae62e596d70c288

[ "MIT" ]

null

number = 7316717653133062491922511967442657474235534919493496983520312774506326239578318016984801869478851843858615607891129494954595017379583319528532088055111254069874715852386305071569329096329522744304355766896648950445244523161731856403098711121722383113622298934233803081353362766142828064444866452387493035890729629049156044077239071381051585930796086670172427121883998797908792274921901699720888093776657273330010533678812202354218097512545405947522435258490771167055601360483958644670632441572215539753697817977846174064955149290862569321978468622482839722413756570560574902614079729686524145351004748216637048440319989000889524345065854122758866688116427171479924442928230863465674813919123162824586178664583591245665294765456828489128831426076900422421902267105562632111110937054421750694165896040807198403850962455444362981230987879927244284909188845801561660979191338754992005240636899125607176060588611646710940507754100225698315520005593572972571636269561882670428252483600823257530420752963450

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py

Python

idaes/generic_models/properties/core/reactions/tests/test_equilibrium_forms.py

carldlaird/idaes-pse

cc7a32ca9fa788f483fa8ef85f3d1186ef4a596f

[ "RSA-MD" ]

112

2019-02-11T23:16:36.000Z

2022-03-23T20:59:57.000Z

idaes/generic_models/properties/core/reactions/tests/test_equilibrium_forms.py

carldlaird/idaes-pse

cc7a32ca9fa788f483fa8ef85f3d1186ef4a596f

[ "RSA-MD" ]

621

2019-03-01T14:44:12.000Z

2022-03-31T19:49:25.000Z

idaes/generic_models/properties/core/reactions/tests/test_equilibrium_forms.py

carldlaird/idaes-pse

cc7a32ca9fa788f483fa8ef85f3d1186ef4a596f

[ "RSA-MD" ]

154

2019-02-01T23:46:33.000Z

2022-03-23T15:07:10.000Z

################################################################################# # The Institute for the Design of Advanced Energy Systems Integrated Platform # Framework (IDAES IP) was produced under the DOE Institute for the # Design of Advanced Energy Systems (IDAES), and is copyright (c) 2018-2021 # by the software owners: The Regents of the University of California, through # Lawrence Berkeley National Laboratory, National Technology & Engineering # Solutions of Sandia, LLC, Carnegie Mellon University, West Virginia University # Research Corporation, et al. All rights reserved. # # Please see the files COPYRIGHT.md and LICENSE.md for full copyright and # license information. ################################################################################# """ Tests for rate forms """ import pytest from pyomo.environ import \ Block, ConcreteModel, Param, Var, units as pyunits, value from idaes.generic_models.properties.core.generic.generic_reaction import \ GenericReactionParameterBlock, ConcentrationForm from idaes.generic_models.properties.core.reactions.equilibrium_forms import * from idaes.core import SolidPhase from idaes.core.util.testing import PhysicalParameterTestBlock from idaes.core.util.misc import add_object_reference from idaes.core.util.math import safe_log, smooth_max from idaes.core.util.exceptions import ConfigurationError @pytest.mark.unit def test_power_law_equil_no_order(): m = ConcreteModel() # # Add a test thermo package for validation m.pparams = PhysicalParameterTestBlock() # Add a solid phase for testing m.pparams.sol = SolidPhase() m.thermo = m.pparams.build_state_block([1]) # Create a dummy reaction parameter block m.rparams = GenericReactionParameterBlock(default={ "property_package": m.pparams, "base_units": {"time": pyunits.s, "mass": pyunits.kg, "amount": pyunits.mol, "length": pyunits.m, "temperature": pyunits.K}, "equilibrium_reactions": { "r1": {"stoichiometry": {("p1", "c1"): -1, ("p1", "c2"): 2, ("sol", "c1"): -3, ("sol", "c2"): 4}, "equilibrium_form": power_law_equil, "concentration_form": ConcentrationForm.moleFraction}}}) # Create a dummy state block m.rxn = Block([1]) add_object_reference( m.rxn[1], "phase_component_set", m.pparams._phase_component_set) add_object_reference(m.rxn[1], "params", m.rparams) add_object_reference(m.rxn[1], "state_ref", m.thermo[1]) m.rxn[1].k_eq = Var(["r1"], initialize=1) power_law_equil.build_parameters( m.rparams.reaction_r1, m.rparams.config.equilibrium_reactions["r1"]) # Check parameter construction assert isinstance(m.rparams.reaction_r1.reaction_order, Var) assert len(m.rparams.reaction_r1.reaction_order) == 6 assert m.rparams.reaction_r1.reaction_order["p1", "c1"].value == -1 assert m.rparams.reaction_r1.reaction_order["p1", "c2"].value == 2 assert m.rparams.reaction_r1.reaction_order["p2", "c1"].value == 0 assert m.rparams.reaction_r1.reaction_order["p2", "c2"].value == 0 # Solids should have zero order, as they are excluded assert m.rparams.reaction_r1.reaction_order["sol", "c1"].value == 0 assert m.rparams.reaction_r1.reaction_order["sol", "c2"].value == 0 # Check reaction form rform = power_law_equil.return_expression( m.rxn[1], m.rparams.reaction_r1, "r1", 300) assert str(rform) == str( m.rxn[1].k_eq["r1"] == ( m.thermo[1].mole_frac_phase_comp["p1", "c1"] ** m.rparams.reaction_r1.reaction_order["p1", "c1"] * m.thermo[1].mole_frac_phase_comp["p1", "c2"] ** m.rparams.reaction_r1.reaction_order["p1", "c2"])) @pytest.mark.unit def test_power_law_equil_with_order(): m = ConcreteModel() # # Add a test thermo package for validation m.pparams = PhysicalParameterTestBlock() # Add a solid phase for testing m.pparams.sol = SolidPhase() m.thermo = m.pparams.build_state_block([1]) # Create a dummy reaction parameter block m.rparams = GenericReactionParameterBlock(default={ "property_package": m.pparams, "base_units": {"time": pyunits.s, "mass": pyunits.kg, "amount": pyunits.mol, "length": pyunits.m, "temperature": pyunits.K}, "equilibrium_reactions": { "r1": {"stoichiometry": {("p1", "c1"): -1, ("p1", "c2"): 2, ("sol", "c1"): -3, ("sol", "c2"): 4}, "equilibrium_form": power_law_equil, "concentration_form": ConcentrationForm.moleFraction, "parameter_data": { "reaction_order": {("p1", "c1"): 1, ("p1", "c2"): 2, ("p2", "c1"): 3, ("p2", "c2"): 4, ("sol", "c1"): 5, ("sol", "c2"): 6}}}}}) # Create a dummy state block m.rxn = Block([1]) add_object_reference( m.rxn[1], "phase_component_set", m.pparams._phase_component_set) add_object_reference(m.rxn[1], "params", m.rparams) add_object_reference(m.rxn[1], "state_ref", m.thermo[1]) m.rxn[1].k_eq = Var(["r1"], initialize=1) power_law_equil.build_parameters( m.rparams.reaction_r1, m.rparams.config.equilibrium_reactions["r1"]) # Check parameter construction assert isinstance(m.rparams.reaction_r1.reaction_order, Var) assert len(m.rparams.reaction_r1.reaction_order) == 6 assert m.rparams.reaction_r1.reaction_order["p1", "c1"].value == 1 assert m.rparams.reaction_r1.reaction_order["p1", "c2"].value == 2 assert m.rparams.reaction_r1.reaction_order["p2", "c1"].value == 3 assert m.rparams.reaction_r1.reaction_order["p2", "c2"].value == 4 assert m.rparams.reaction_r1.reaction_order["sol", "c1"].value == 5 assert m.rparams.reaction_r1.reaction_order["sol", "c2"].value == 6 # Check reaction form rform = power_law_equil.return_expression( m.rxn[1], m.rparams.reaction_r1, "r1", 300) assert str(rform) == str( m.rxn[1].k_eq["r1"] == ( m.thermo[1].mole_frac_phase_comp["p1", "c1"] ** m.rparams.reaction_r1.reaction_order["p1", "c1"] * m.thermo[1].mole_frac_phase_comp["p1", "c2"] ** m.rparams.reaction_r1.reaction_order["p1", "c2"] * m.thermo[1].mole_frac_phase_comp["p2", "c1"] ** m.rparams.reaction_r1.reaction_order["p2", "c1"] * m.thermo[1].mole_frac_phase_comp["p2", "c2"] ** m.rparams.reaction_r1.reaction_order["p2", "c2"] * m.thermo[1].mole_frac_phase_comp["sol", "c1"] ** m.rparams.reaction_r1.reaction_order["sol", "c1"] * m.thermo[1].mole_frac_phase_comp["sol", "c2"] ** m.rparams.reaction_r1.reaction_order["sol", "c2"])) @pytest.mark.unit def test_log_power_law_equil_no_order(): m = ConcreteModel() # # Add a test thermo package for validation m.pparams = PhysicalParameterTestBlock() # Add a solid phase for testing m.pparams.sol = SolidPhase() m.thermo = m.pparams.build_state_block([1]) m.thermo[1].log_mole_frac_phase_comp = Var(m.pparams._phase_component_set) # Create a dummy reaction parameter block m.rparams = GenericReactionParameterBlock(default={ "property_package": m.pparams, "base_units": {"time": pyunits.s, "mass": pyunits.kg, "amount": pyunits.mol, "length": pyunits.m, "temperature": pyunits.K}, "equilibrium_reactions": { "r1": {"stoichiometry": {("p1", "c1"): -1, ("p1", "c2"): 2, ("sol", "c1"): -3, ("sol", "c2"): 4}, "equilibrium_form": log_power_law_equil, "concentration_form": ConcentrationForm.moleFraction}}}) # Create a dummy state block m.rxn = Block([1]) add_object_reference( m.rxn[1], "phase_component_set", m.pparams._phase_component_set) add_object_reference(m.rxn[1], "params", m.rparams) add_object_reference(m.rxn[1], "state_ref", m.thermo[1]) m.rxn[1].log_k_eq = Var(["r1"], initialize=1) # Check parameter construction assert isinstance(m.rparams.reaction_r1.reaction_order, Var) assert len(m.rparams.reaction_r1.reaction_order) == 6 assert m.rparams.reaction_r1.reaction_order["p1", "c1"].value == -1 assert m.rparams.reaction_r1.reaction_order["p1", "c2"].value == 2 assert m.rparams.reaction_r1.reaction_order["p2", "c1"].value == 0 assert m.rparams.reaction_r1.reaction_order["p2", "c2"].value == 0 # Solids should have zero order, as they are excluded assert m.rparams.reaction_r1.reaction_order["sol", "c1"].value == 0 assert m.rparams.reaction_r1.reaction_order["sol", "c2"].value == 0 # Check reaction form rform = log_power_law_equil.return_expression( m.rxn[1], m.rparams.reaction_r1, "r1", 300) assert str(rform) == str( m.rxn[1].log_k_eq["r1"] == m.rparams.reaction_r1.reaction_order["p1", "c1"] * m.thermo[1].log_mole_frac_phase_comp["p1", "c1"] + m.rparams.reaction_r1.reaction_order["p1", "c2"] * m.thermo[1].log_mole_frac_phase_comp["p1", "c2"]) @pytest.mark.unit def test_log_power_law_equil_with_order(): m = ConcreteModel() # # Add a test thermo package for validation m.pparams = PhysicalParameterTestBlock() # Add a solid phase for testing m.pparams.sol = SolidPhase() m.thermo = m.pparams.build_state_block([1]) m.thermo[1].log_mole_frac_phase_comp = Var(m.pparams._phase_component_set) # Create a dummy reaction parameter block m.rparams = GenericReactionParameterBlock(default={ "property_package": m.pparams, "base_units": {"time": pyunits.s, "mass": pyunits.kg, "amount": pyunits.mol, "length": pyunits.m, "temperature": pyunits.K}, "equilibrium_reactions": { "r1": {"stoichiometry": {("p1", "c1"): -1, ("p1", "c2"): 2, ("sol", "c1"): -3, ("sol", "c2"): 4}, "equilibrium_form": log_power_law_equil, "concentration_form": ConcentrationForm.moleFraction, "parameter_data": { "reaction_order": {("p1", "c1"): 1, ("p1", "c2"): 2, ("p2", "c1"): 3, ("p2", "c2"): 4, ("sol", "c1"): 5, ("sol", "c2"): 6}}}}}) # Create a dummy state block m.rxn = Block([1]) add_object_reference( m.rxn[1], "phase_component_set", m.pparams._phase_component_set) add_object_reference(m.rxn[1], "params", m.rparams) add_object_reference(m.rxn[1], "state_ref", m.thermo[1]) m.rxn[1].log_k_eq = Var(["r1"], initialize=1) # Check parameter construction assert isinstance(m.rparams.reaction_r1.reaction_order, Var) assert len(m.rparams.reaction_r1.reaction_order) == 6 assert m.rparams.reaction_r1.reaction_order["p1", "c1"].value == 1 assert m.rparams.reaction_r1.reaction_order["p1", "c2"].value == 2 assert m.rparams.reaction_r1.reaction_order["p2", "c1"].value == 3 assert m.rparams.reaction_r1.reaction_order["p2", "c2"].value == 4 assert m.rparams.reaction_r1.reaction_order["sol", "c1"].value == 5 assert m.rparams.reaction_r1.reaction_order["sol", "c2"].value == 6 # Check reaction form rform = log_power_law_equil.return_expression( m.rxn[1], m.rparams.reaction_r1, "r1", 300) assert str(rform) == str( m.rxn[1].log_k_eq["r1"] == m.rparams.reaction_r1.reaction_order["p1", "c1"] * m.thermo[1].log_mole_frac_phase_comp["p1", "c1"] + m.rparams.reaction_r1.reaction_order["p1", "c2"] * m.thermo[1].log_mole_frac_phase_comp["p1", "c2"] + m.rparams.reaction_r1.reaction_order["p2", "c1"] * m.thermo[1].log_mole_frac_phase_comp["p2", "c1"] + m.rparams.reaction_r1.reaction_order["p2", "c2"] * m.thermo[1].log_mole_frac_phase_comp["p2", "c2"] + m.rparams.reaction_r1.reaction_order["sol", "c1"] * m.thermo[1].log_mole_frac_phase_comp["sol", "c1"] + m.rparams.reaction_r1.reaction_order["sol", "c2"] * m.thermo[1].log_mole_frac_phase_comp["sol", "c2"]) @pytest.mark.unit def test_solubility_no_order(): m = ConcreteModel() # # Add a test thermo package for validation m.pparams = PhysicalParameterTestBlock() # Add a solid phase for testing m.pparams.sol = SolidPhase() m.thermo = m.pparams.build_state_block([1]) # Create a dummy reaction parameter block m.rparams = GenericReactionParameterBlock(default={ "property_package": m.pparams, "base_units": {"time": pyunits.s, "mass": pyunits.kg, "amount": pyunits.mol, "length": pyunits.m, "temperature": pyunits.K}, "equilibrium_reactions": { "r1": {"stoichiometry": {("p1", "c1"): -1, ("p1", "c2"): 2, ("sol", "c1"): -3, ("sol", "c2"): 4}, "equilibrium_form": solubility_product, "concentration_form": ConcentrationForm.moleFraction}}}) # Create a dummy state block m.rxn = Block([1]) add_object_reference( m.rxn[1], "phase_component_set", m.pparams._phase_component_set) add_object_reference(m.rxn[1], "params", m.rparams) add_object_reference(m.rxn[1], "state_ref", m.thermo[1]) m.rxn[1].k_eq = Var(["r1"], initialize=1) # Check parameter construction assert isinstance(m.rparams.reaction_r1.eps, Param) assert value(m.rparams.reaction_r1.eps) == 1e-4 assert isinstance(m.rparams.reaction_r1.reaction_order, Var) assert len(m.rparams.reaction_r1.reaction_order) == 6 assert m.rparams.reaction_r1.reaction_order["p1", "c1"].value == -1 assert m.rparams.reaction_r1.reaction_order["p1", "c2"].value == 2 assert m.rparams.reaction_r1.reaction_order["p2", "c1"].value == 0 assert m.rparams.reaction_r1.reaction_order["p2", "c2"].value == 0 # Solids should have zero order, as they are excluded assert m.rparams.reaction_r1.reaction_order["sol", "c1"].value == 0 assert m.rparams.reaction_r1.reaction_order["sol", "c2"].value == 0 # Check reaction form rform = solubility_product.return_expression( m.rxn[1], m.rparams.reaction_r1, "r1", 300) s = ((m.thermo[1].flow_mol_phase_comp["sol", "c1"] + m.thermo[1].flow_mol_phase_comp["sol", "c2"]) / (pyunits.mol/pyunits.s)) Q = (m.rxn[1].k_eq["r1"] - (m.thermo[1].mole_frac_phase_comp["p1", "c1"] ** m.rparams.reaction_r1.reaction_order["p1", "c1"] * m.thermo[1].mole_frac_phase_comp["p1", "c2"] ** m.rparams.reaction_r1.reaction_order["p1", "c2"])) assert str(rform) == str( s - smooth_max(0, s-Q, m.rparams.reaction_r1.eps) == 0) @pytest.mark.unit def test_solubility_product_with_order(): m = ConcreteModel() # # Add a test thermo package for validation m.pparams = PhysicalParameterTestBlock() # Add a solid phase for testing m.pparams.sol = SolidPhase() m.thermo = m.pparams.build_state_block([1]) # Create a dummy reaction parameter block m.rparams = GenericReactionParameterBlock(default={ "property_package": m.pparams, "base_units": {"time": pyunits.s, "mass": pyunits.kg, "amount": pyunits.mol, "length": pyunits.m, "temperature": pyunits.K}, "equilibrium_reactions": { "r1": {"stoichiometry": {("p1", "c1"): -1, ("p1", "c2"): 2, ("sol", "c1"): -3, ("sol", "c2"): 4}, "equilibrium_form": solubility_product, "concentration_form": ConcentrationForm.moleFraction, "parameter_data": { "reaction_order": {("p1", "c1"): 1, ("p1", "c2"): 2, ("p2", "c1"): 3, ("p2", "c2"): 4, ("sol", "c1"): 5, ("sol", "c2"): 6}}}}}) # Create a dummy state block m.rxn = Block([1]) add_object_reference( m.rxn[1], "phase_component_set", m.pparams._phase_component_set) add_object_reference(m.rxn[1], "params", m.rparams) add_object_reference(m.rxn[1], "state_ref", m.thermo[1]) m.rxn[1].k_eq = Var(["r1"], initialize=1) # Check parameter construction assert isinstance(m.rparams.reaction_r1.eps, Param) assert value(m.rparams.reaction_r1.eps) == 1e-4 assert isinstance(m.rparams.reaction_r1.reaction_order, Var) assert len(m.rparams.reaction_r1.reaction_order) == 6 assert m.rparams.reaction_r1.reaction_order["p1", "c1"].value == 1 assert m.rparams.reaction_r1.reaction_order["p1", "c2"].value == 2 assert m.rparams.reaction_r1.reaction_order["p2", "c1"].value == 3 assert m.rparams.reaction_r1.reaction_order["p2", "c2"].value == 4 assert m.rparams.reaction_r1.reaction_order["sol", "c1"].value == 5 assert m.rparams.reaction_r1.reaction_order["sol", "c2"].value == 6 # Check reaction form rform = solubility_product.return_expression( m.rxn[1], m.rparams.reaction_r1, "r1", 300) s = ((m.thermo[1].flow_mol_phase_comp["sol", "c1"] + m.thermo[1].flow_mol_phase_comp["sol", "c2"]) / (pyunits.mol/pyunits.s)) Q = (m.rxn[1].k_eq["r1"] - (m.thermo[1].mole_frac_phase_comp["p1", "c1"] ** m.rparams.reaction_r1.reaction_order["p1", "c1"] * m.thermo[1].mole_frac_phase_comp["p1", "c2"] ** m.rparams.reaction_r1.reaction_order["p1", "c2"] * m.thermo[1].mole_frac_phase_comp["p2", "c1"] ** m.rparams.reaction_r1.reaction_order["p2", "c1"] * m.thermo[1].mole_frac_phase_comp["p2", "c2"] ** m.rparams.reaction_r1.reaction_order["p2", "c2"] * m.thermo[1].mole_frac_phase_comp["sol", "c1"] ** m.rparams.reaction_r1.reaction_order["sol", "c1"] * m.thermo[1].mole_frac_phase_comp["sol", "c2"] ** m.rparams.reaction_r1.reaction_order["sol", "c2"])) assert str(rform) == str( s - smooth_max(0, s-Q, m.rparams.reaction_r1.eps) == 0) @pytest.mark.unit def test_solubility_no_solids(): m = ConcreteModel() # # Add a test thermo package for validation m.pparams = PhysicalParameterTestBlock() m.thermo = m.pparams.build_state_block([1]) # Create a dummy reaction parameter block m.rparams = GenericReactionParameterBlock(default={ "property_package": m.pparams, "base_units": {"time": pyunits.s, "mass": pyunits.kg, "amount": pyunits.mol, "length": pyunits.m, "temperature": pyunits.K}, "equilibrium_reactions": { "r1": {"stoichiometry": {("p1", "c1"): -1, ("p1", "c2"): 2}, "equilibrium_form": solubility_product, "concentration_form": ConcentrationForm.moleFraction}}}) # Create a dummy state block m.rxn = Block([1]) add_object_reference( m.rxn[1], "phase_component_set", m.pparams._phase_component_set) add_object_reference(m.rxn[1], "params", m.rparams) add_object_reference(m.rxn[1], "state_ref", m.thermo[1]) m.rxn[1].k_eq = Var(["r1"], initialize=1) solubility_product.build_parameters( m.rparams.reaction_r1, m.rparams.config.equilibrium_reactions["r1"]) # Check reaction form - should raise exception with pytest.raises(ConfigurationError, match="did not find a solid phase component for " "precipitation reaction r1. This is likely due to the " "reaction configuration."): solubility_product.return_expression( m.rxn[1], m.rparams.reaction_r1, "r1", 300) @pytest.mark.unit def test_log_solubility_no_order(): m = ConcreteModel() # # Add a test thermo package for validation m.pparams = PhysicalParameterTestBlock() # Add a solid phase for testing m.pparams.sol = SolidPhase() m.thermo = m.pparams.build_state_block([1]) # Create a dummy reaction parameter block m.rparams = GenericReactionParameterBlock(default={ "property_package": m.pparams, "base_units": {"time": pyunits.s, "mass": pyunits.kg, "amount": pyunits.mol, "length": pyunits.m, "temperature": pyunits.K}, "equilibrium_reactions": { "r1": {"stoichiometry": {("p1", "c1"): -1, ("p1", "c2"): 2, ("sol", "c1"): -3, ("sol", "c2"): 4}, "equilibrium_form": log_solubility_product, "concentration_form": ConcentrationForm.moleFraction}}}) # Create a dummy state block m.rxn = Block([1]) add_object_reference( m.rxn[1], "phase_component_set", m.pparams._phase_component_set) add_object_reference(m.rxn[1], "params", m.rparams) add_object_reference(m.rxn[1], "state_ref", m.thermo[1]) m.rxn[1].log_k_eq = Var(["r1"], initialize=1) m.thermo[1].log_mole_frac_phase_comp = Var(m.pparams._phase_component_set, initialize=1) # Check parameter construction assert isinstance(m.rparams.reaction_r1.eps, Param) assert value(m.rparams.reaction_r1.eps) == 1e-4 assert isinstance(m.rparams.reaction_r1.reaction_order, Var) assert len(m.rparams.reaction_r1.reaction_order) == 6 assert m.rparams.reaction_r1.reaction_order["p1", "c1"].value == -1 assert m.rparams.reaction_r1.reaction_order["p1", "c2"].value == 2 assert m.rparams.reaction_r1.reaction_order["p2", "c1"].value == 0 assert m.rparams.reaction_r1.reaction_order["p2", "c2"].value == 0 # Solids should have zero order, as they are excluded assert m.rparams.reaction_r1.reaction_order["sol", "c1"].value == 0 assert m.rparams.reaction_r1.reaction_order["sol", "c2"].value == 0 # Check reaction form rform = log_solubility_product.return_expression( m.rxn[1], m.rparams.reaction_r1, "r1", 300) s = ((m.thermo[1].flow_mol_phase_comp["sol", "c1"] + m.thermo[1].flow_mol_phase_comp["sol", "c2"]) / (pyunits.mol/pyunits.s)) Q = (m.rxn[1].log_k_eq["r1"] - (m.thermo[1].log_mole_frac_phase_comp["p1", "c1"] * m.rparams.reaction_r1.reaction_order["p1", "c1"] + m.thermo[1].log_mole_frac_phase_comp["p1", "c2"] * m.rparams.reaction_r1.reaction_order["p1", "c2"])) assert str(rform) == str( s - smooth_max(0, s-Q, m.rparams.reaction_r1.eps) == 0) @pytest.mark.unit def test_log_solubility_product_with_order(): m = ConcreteModel() # # Add a test thermo package for validation m.pparams = PhysicalParameterTestBlock() # Add a solid phase for testing m.pparams.sol = SolidPhase() m.thermo = m.pparams.build_state_block([1]) # Create a dummy reaction parameter block m.rparams = GenericReactionParameterBlock(default={ "property_package": m.pparams, "base_units": {"time": pyunits.s, "mass": pyunits.kg, "amount": pyunits.mol, "length": pyunits.m, "temperature": pyunits.K}, "equilibrium_reactions": { "r1": {"stoichiometry": {("p1", "c1"): -1, ("p1", "c2"): 2, ("sol", "c1"): -3, ("sol", "c2"): 4}, "equilibrium_form": log_solubility_product, "concentration_form": ConcentrationForm.moleFraction, "parameter_data": { "reaction_order": {("p1", "c1"): 1, ("p1", "c2"): 2, ("p2", "c1"): 3, ("p2", "c2"): 4, ("sol", "c1"): 5, ("sol", "c2"): 6}}}}}) # Create a dummy state block m.rxn = Block([1]) add_object_reference( m.rxn[1], "phase_component_set", m.pparams._phase_component_set) add_object_reference(m.rxn[1], "params", m.rparams) add_object_reference(m.rxn[1], "state_ref", m.thermo[1]) m.rxn[1].log_k_eq = Var(["r1"], initialize=1) m.thermo[1].log_mole_frac_phase_comp = Var(m.pparams._phase_component_set, initialize=1) # Check parameter construction assert isinstance(m.rparams.reaction_r1.eps, Param) assert value(m.rparams.reaction_r1.eps) == 1e-4 assert isinstance(m.rparams.reaction_r1.reaction_order, Var) assert len(m.rparams.reaction_r1.reaction_order) == 6 assert m.rparams.reaction_r1.reaction_order["p1", "c1"].value == 1 assert m.rparams.reaction_r1.reaction_order["p1", "c2"].value == 2 assert m.rparams.reaction_r1.reaction_order["p2", "c1"].value == 3 assert m.rparams.reaction_r1.reaction_order["p2", "c2"].value == 4 assert m.rparams.reaction_r1.reaction_order["sol", "c1"].value == 5 assert m.rparams.reaction_r1.reaction_order["sol", "c2"].value == 6 # Check reaction form rform = log_solubility_product.return_expression( m.rxn[1], m.rparams.reaction_r1, "r1", 300) s = ((m.thermo[1].flow_mol_phase_comp["sol", "c1"] + m.thermo[1].flow_mol_phase_comp["sol", "c2"]) / (pyunits.mol/pyunits.s)) Q = (m.rxn[1].log_k_eq["r1"] - (m.thermo[1].log_mole_frac_phase_comp["p1", "c1"] * m.rparams.reaction_r1.reaction_order["p1", "c1"] + m.thermo[1].log_mole_frac_phase_comp["p1", "c2"] * m.rparams.reaction_r1.reaction_order["p1", "c2"] + m.thermo[1].log_mole_frac_phase_comp["p2", "c1"] * m.rparams.reaction_r1.reaction_order["p2", "c1"] + m.thermo[1].log_mole_frac_phase_comp["p2", "c2"] * m.rparams.reaction_r1.reaction_order["p2", "c2"] + m.thermo[1].log_mole_frac_phase_comp["sol", "c1"] * m.rparams.reaction_r1.reaction_order["sol", "c1"] + m.thermo[1].log_mole_frac_phase_comp["sol", "c2"] * m.rparams.reaction_r1.reaction_order["sol", "c2"])) assert str(rform) == str( s - smooth_max(0, s-Q, m.rparams.reaction_r1.eps) == 0) @pytest.mark.unit def test_log_solubility_no_solids(): m = ConcreteModel() # # Add a test thermo package for validation m.pparams = PhysicalParameterTestBlock() m.thermo = m.pparams.build_state_block([1]) # Create a dummy reaction parameter block m.rparams = GenericReactionParameterBlock(default={ "property_package": m.pparams, "base_units": {"time": pyunits.s, "mass": pyunits.kg, "amount": pyunits.mol, "length": pyunits.m, "temperature": pyunits.K}, "equilibrium_reactions": { "r1": {"stoichiometry": {("p1", "c1"): -1, ("p1", "c2"): 2}, "equilibrium_form": log_solubility_product, "concentration_form": ConcentrationForm.moleFraction}}}) # Create a dummy state block m.rxn = Block([1]) add_object_reference( m.rxn[1], "phase_component_set", m.pparams._phase_component_set) add_object_reference(m.rxn[1], "params", m.rparams) add_object_reference(m.rxn[1], "state_ref", m.thermo[1]) m.rxn[1].log_k_eq = Var(["r1"], initialize=1) m.thermo[1].log_mole_frac_phase_comp = Var(m.pparams._phase_component_set, initialize=1) log_solubility_product.build_parameters( m.rparams.reaction_r1, m.rparams.config.equilibrium_reactions["r1"]) # Check reaction form - should raise exception with pytest.raises(ConfigurationError, match="did not find a solid phase component for " "precipitation reaction r1. This is likely due to the " "reaction configuration."): log_solubility_product.return_expression( m.rxn[1], m.rparams.reaction_r1, "r1", 300)

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Python

src/privacyraven/models/pytorch.py

pwang00/PrivacyRaven

50d18f403f92c4b6ddb14be438584b9746f6bad6

[ "Apache-2.0" ]

121

2020-09-01T21:55:22.000Z

2022-03-28T11:38:43.000Z

src/privacyraven/models/pytorch.py

pwang00/PrivacyRaven

50d18f403f92c4b6ddb14be438584b9746f6bad6

[ "Apache-2.0" ]

49

2020-09-08T19:02:16.000Z

2022-02-11T20:52:40.000Z

src/privacyraven/models/pytorch.py

pwang00/PrivacyRaven

50d18f403f92c4b6ddb14be438584b9746f6bad6

[ "Apache-2.0" ]

16

2020-09-09T00:45:30.000Z

2022-02-25T01:53:53.000Z

""" These models will be depreciated soon. Use at your own risk. """ import os import numpy as np import pytorch_lightning as pl import torch from torch import nn from torch.nn import functional as F from torchvision import datasets, models, transforms from tqdm import tqdm class ThreeLayerClassifier(pl.LightningModule): def __init__(self, hparams): """Defines a three layer fully connected neural network""" super(ThreeLayerClassifier, self).__init__() self.hparams = hparams self.layer_1 = torch.nn.Linear(self.hparams["input_size"], 128) self.layer_2 = torch.nn.Linear(128, 256) self.layer_3 = torch.nn.Linear(256, self.hparams["targets"]) def forward(self, x): """Establishes the neural network's forward pass Parameters: x: A Torch tensor of the input data Returns: output probability vector for classes""" batch_size, channels, width, height = x.size() # Input Layer: (batch_size, 1, 28, 28) -> (batch_size, 1*28*28) x = x.view(batch_size, -1) # Layer 1: (batch_size, 1*28*28) -> (batch_size, 128) x = self.layer_1(x) x = torch.relu(x) # Layer 2: (batch_size, 128) -> (batch_size, 256) x = self.layer_2(x) x = torch.relu(x) # Layer 3: (batch_size, 256) -> (batch_size, 10) x = self.layer_3(x) x = torch.log_softmax(x, dim=1) return x def cross_entropy_loss(self, logits, labels): """Calculates loss- the difference between model predictions and true labels Parameters: logits: A Torch tensor of model output predictions labels: A Torch tensor of true values for predictions Returns: Cross entropy loss""" return F.cross_entropy(logits, labels) def training_step(self, train_batch, batch_idx): """Pushes training data batch through model and calculates loss in loop Parameters: train_batch: A Torch tensor of a batch of training data from training dataloader batch_idx: An integer of the index of batch in contention Returns: Formatted string with cross entropy loss and training logs""" x, y = train_batch logits = self.forward(x) loss = self.cross_entropy_loss(logits, y) logs = {"train_loss": loss} return {"loss": loss, "log": logs} def validation_step(self, val_batch, batch_idx): """Pushes validation data batch through model and calculates loss in loop Parameters: val_batch: A Torch tensor batch of validation data from validation dataloader batch_idx: An integer of the index of batch in contention Returns: Formatted string with resultant cross entropy loss""" x, y = val_batch logits = self.forward(x) loss = self.cross_entropy_loss(logits, y) targets_hat = torch.argmax(logits, dim=1) n_correct_pred = torch.sum(y == targets_hat).item() return {"val_loss": loss, "n_correct_pred": n_correct_pred, "n_pred": len(x)} def validation_epoch_end(self, outputs): """Returns validation step results at the end of the epoch Parameters: outputs: An array with the result of validation step for each batch Returns: Formatted string with resultant metrics""" avg_loss = torch.stack([x["val_loss"] for x in outputs]).mean() tensorboard_logs = {"val_loss": avg_loss} return {"avg_val_loss": avg_loss, "log": tensorboard_logs} def configure_optimizers(self): """Sets up the optimization scheme""" optimizer = torch.optim.Adam(self.parameters(), lr=1e-3) return optimizer def test_step(self, batch, batch_idx): """Pushes test data into the model and returns relevant metrics Parameters: batch: A Torch tensor of a batch of test data batch_idx: An integer of the index of batch in contention Returns: Formatted string with relevant metrics""" x, y = batch y_hat = self(x) targets_hat = torch.argmax(y_hat, dim=1) n_correct_pred = torch.sum(y == targets_hat).item() return { "test_loss": F.cross_entropy(y_hat, y), "n_correct_pred": n_correct_pred, "n_pred": len(x), } def test_epoch_end(self, outputs): """Returns test step results at the end of the epoch Parameters: outputs: An array with the result of test step for each batch Returns: Formatted string with resultant metrics""" avg_loss = torch.stack([x["test_loss"] for x in outputs]).mean() tensorboard_logs = {"test_loss": avg_loss} return {"avg_test_loss": avg_loss, "log": tensorboard_logs} class ImagenetTransferLearning(pl.LightningModule): def __init__(self, hparams): """Create a classifier with a pretrained MobileNet backbone""" super(ImagenetTransferLearning, self).__init__() self.hparams = hparams self.feature_extractor = models.mobilenet_v2(pretrained=True) self.feature_extractor.eval() # Establish classifier # self.layer_1 = torch.nn.Linear(hparams["input_size"], 128) self.layer_1 = torch.nn.Linear(1000, 128) self.layer_2 = torch.nn.Linear(128, 256) self.layer_3 = torch.nn.Linear(256, hparams["targets"]) def forward(self, x): """Establishes the neural network's forward pass Parameters: x: A Torch tensor of the input image Returns: Output probability vector for classes """ x = self.feature_extractor(x) batch_size, hidden = x.size() x = self.layer_1(x) x = torch.relu(x) x = self.layer_2(x) x = torch.relu(x) x = self.layer_3(x) x = torch.log_softmax(x, dim=1) return x def nll_loss(self, logits, labels): """Calculates loss Parameters: logits: A Torch tensor of the model output predictions labels: A Torch tensor of the true values for predictions Returns: Loss""" return F.nll_loss(logits, labels) def training_step(self, train_batch, batch_idx): """Pushes training data batch through model and calculates loss in loop Parameters: train_batch: A Torch tensor with the batch of training data batch_idx: An integer of the index of batch in contention Returns: Formatted string with cross entropy loss and training logs""" x, y = train_batch logits = self.forward(x) loss = self.nll_loss(logits, y) logs = {"train_loss": loss} return {"loss": loss, "log": logs} def validation_step(self, val_batch, batch_idx): """Pushes validation data batch through model and calculates loss in loop Parameters: val_batch: A Torch tensor of a batch of validation data batch_idx: An integer of the index of batch in contention Returns: Formatted string with resultant cross entropy loss""" x, y = val_batch logits = self.forward(x) loss = self.nll_loss(logits, y) targets_hat = torch.argmax(logits, dim=1) n_correct_pred = torch.sum(y == targets_hat).item() return {"val_loss": loss, "n_correct_pred": n_correct_pred, "n_pred": len(x)} def validation_epoch_end(self, outputs): """Returns validation step results at the end of the epoch Parameters: outputs: An array of the result of validation step for each batch Returns: Formatted string with resultant metrics """ avg_loss = torch.stack([x["val_loss"] for x in outputs]).mean() tensorboard_logs = {"val_loss": avg_loss} return {"avg_val_loss": avg_loss, "log": tensorboard_logs} def configure_optimizers(self): """Sets up the optimization scheme""" optimizer = torch.optim.Adam( self.parameters(), lr=self.hparams["learning_rate"] ) return optimizer def test_step(self, batch, batch_idx): """Pushes test data into the model and returns relevant metrics Parameters: batch: A Torch tensor of a batch of test data from test dataloader batch_idx: An integer of the index of batch in contention Returns: Formatted string with relevant metrics""" x, y = batch y_hat = self(x) targets_hat = torch.argmax(y_hat, dim=1) n_correct_pred = torch.sum(y == targets_hat).item() return { "test_loss": F.nll_loss(y_hat, y), "n_correct_pred": n_correct_pred, "n_pred": len(x), } def test_epoch_end(self, outputs): """Returns test step results at the end of the epoch Parameters: outputs: An array with the results of test step for each batch Returns: Formatted string with resultant metrics""" avg_loss = torch.stack([x["test_loss"] for x in outputs]).mean() tensorboard_logs = {"test_loss": avg_loss} return {"avg_test_loss": avg_loss, "log": tensorboard_logs}

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0.624029

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false

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null

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1

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null

0

7

ed269e6a9d12d5c62fb10b7968a872bb3eb71e6b

6,280

py

Python

scielomanager/accounts/tests.py

jamilatta/scielo-manager

d506c6828ba9b1089faa164bc42ba29a0f228e61

[ "BSD-2-Clause" ]

null

scielomanager/accounts/tests.py

jamilatta/scielo-manager

d506c6828ba9b1089faa164bc42ba29a0f228e61

[ "BSD-2-Clause" ]

null

scielomanager/accounts/tests.py

jamilatta/scielo-manager

d506c6828ba9b1089faa164bc42ba29a0f228e61

[ "BSD-2-Clause" ]

null

# coding:utf-8 """ Use this module to write functional tests for the view-functions, only! """ from django_webtest import WebTest from django.core.urlresolvers import reverse from django_factory_boy import auth from journalmanager.tests import modelfactories from journalmanager.tests.tests_forms import _makePermission HASH_FOR_123 = 'sha1$93d45$5f366b56ce0444bfea0f5634c7ce8248508c9799' class LoginForm(WebTest): def test_the_user_must_provide_his_credentials(self): form = self.app.get(reverse('journalmanager.user_login')).forms[0] form['username'] = '' form['password'] = '' response = form.submit() self.assertTrue('not a valid username or password' in response.body) self.assertTemplateUsed(response, 'registration/login.html') def test_right_username_and_wrong_password(self): user = auth.UserF(username='foo', password=HASH_FOR_123, is_active=True) form = self.app.get(reverse('journalmanager.user_login')).forms[0] form['username'] = 'foo' form['password'] = 'baz' response = form.submit() self.assertTrue('not a valid username or password' in response.body) self.assertTemplateUsed(response, 'registration/login.html') def test_wrong_username_and_right_password(self): user = auth.UserF(username='foo', password=HASH_FOR_123, is_active=True) form = self.app.get(reverse('journalmanager.user_login')).forms[0] form['username'] = 'fuu' form['password'] = '123' response = form.submit() self.assertTrue('not a valid username or password' in response.body) self.assertTemplateUsed(response, 'registration/login.html') def test_right_username_and_right_password(self): user = auth.UserF(username='foo', password=HASH_FOR_123, is_active=True) collection = modelfactories.CollectionFactory.create() collection.add_user(user) form = self.app.get(reverse('journalmanager.user_login')).forms[0] form['username'] = 'foo' form['password'] = '123' response = form.submit().follow() self.assertTemplateUsed(response, 'journalmanager/home_journal.html') def test_right_username_and_right_password_for_inactive_user(self): user = auth.UserF(username='foo', password=HASH_FOR_123, is_active=False) collection = modelfactories.CollectionFactory.create() collection.add_user(user) form = self.app.get(reverse('journalmanager.user_login')).forms[0] form['username'] = 'foo' form['password'] = '123' response = form.submit() self.assertTrue('not a valid username or password' in response.body) self.assertTemplateUsed(response, 'registration/login.html') def test_redirect_to_restricted_page_after_successful_login(self): user = auth.UserF(is_active=True) perm = _makePermission(perm='list_journal', model='journal') user.user_permissions.add(perm) collection = modelfactories.CollectionFactory.create() collection.add_user(user) page = self.app.get(reverse('journal.index'), user=user) page.mustcontain('no items') class UserMyAccountTests(WebTest): def test_logged_user_access_my_account(self): user = auth.UserF(is_active=True) response = self.app.get(reverse('journalmanager.my_account'), user=user) self.assertTemplateUsed(response, 'accounts/my_account.html') def test_not_logged_user_acess_my_account(self): response = self.app.get(reverse('journalmanager.my_account')).follow() self.assertTemplateUsed(response, 'registration/login.html') def test_logged_user_access_user_configuration(self): user = auth.UserF(is_active=True) response = self.app.get(reverse('journalmanager.password_change'), user=user) self.assertTemplateUsed(response, 'accounts/password_change.html') def test_logged_user_change_password_right_password(self): user = auth.UserF(username='foo', password=HASH_FOR_123, is_active=False) form = self.app.get(reverse('journalmanager.password_change'), user=user).forms['chg_pwd'] form['password'] = 123 form['new_password'] = 321 form['new_password_again'] = 321 response = form.submit().follow() self.assertTemplateUsed(response, 'accounts/my_account.html') def test_logged_user_change_password_wrong_password(self): user = auth.UserF(username='foo', password=HASH_FOR_123, is_active=False) form = self.app.get(reverse('journalmanager.password_change'), user=user).forms['chg_pwd'] form['password'] = 1234 form['new_password'] = 321 form['new_password_again'] = 321 response = form.submit().follow() self.assertTemplateUsed(response, 'accounts/password_change.html') def test_logged_user_change_password_wrong_new_password(self): user = auth.UserF(username='foo', password=HASH_FOR_123, is_active=False) form = self.app.get(reverse('journalmanager.password_change'), user=user).forms['chg_pwd'] form['password'] = 123 form['new_password'] = 321123 form['new_password_again'] = 321 response = form.submit().follow() self.assertTemplateUsed(response, 'accounts/password_change.html') def test_logged_user_change_password_wrong_new_password_again(self): user = auth.UserF(username='foo', password=HASH_FOR_123, is_active=False) form = self.app.get(reverse('journalmanager.password_change'), user=user).forms['chg_pwd'] form['password'] = 123 form['new_password'] = 321 form['new_password_again'] = 321321 response = form.submit().follow() self.assertTemplateUsed(response, 'accounts/password_change.html')

35.681818

98

0.651433

699

6,280

5.632332

0.160229

0.023114

0.03302

0.056134

0.811786

0.80188

0.799848

0.783338

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0.695199

0

0.024441

0.237739

6,280

175

99

35.885714

0.797995

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0

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0

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0

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1

0.111111

false

0.393162

0.042735

0

0.17094

0

null

0

1

0

null

0

1

0

7

ed29d6f281e9c2db2e160dc6f97b79842b88bc07

30,261

py

Python

shoptimizer_api/optimizers_builtin/title_word_order_optimizer_test.py

isabella232/shoptimizer

3c3bfc200c4b1cd6b03c3e408bbbfcbda9c38ed4

[ "Apache-2.0" ]

27

2020-08-21T05:59:29.000Z

2022-03-30T17:26:44.000Z

shoptimizer_api/optimizers_builtin/title_word_order_optimizer_test.py

isabella232/shoptimizer

3c3bfc200c4b1cd6b03c3e408bbbfcbda9c38ed4

[ "Apache-2.0" ]

null

shoptimizer_api/optimizers_builtin/title_word_order_optimizer_test.py

isabella232/shoptimizer

3c3bfc200c4b1cd6b03c3e408bbbfcbda9c38ed4

[ "Apache-2.0" ]

20

2020-09-14T08:38:11.000Z

2022-03-13T22:37:40.000Z

# coding=utf-8 # Copyright 2021 Google LLC. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Unit tests for title_word_order_optimizer.""" from absl.testing import parameterized import unittest.mock as mock from optimizers_builtin import title_word_order_optimizer from test_data import requests_bodies from typing import List, Dict from util import app_util import constants # GPC ID IS 201 _PROPER_GPC_CATEGORY_EN = 'Apparel & Accessories > Jewelry > Watches' # GPC ID is 201 _PROPER_GPC_CATEGORY_JA = ('ファッション・アクセサリー > ' 'ジュエリー > 腕時計') # GPC ID is 5598 _GPC_CATEGORY_LEVEL_4_JA = ('ファッション・アクセサリー > ' '衣料品 > アウター > ' 'コート・ジャケット') @mock.patch('util.promo_text_remover._PROMO_TEXT_REMOVAL_CONFIG_FILE_NAME', 'promo_text_removal_optimizer_config_{}_test') @mock.patch( 'optimizers_builtin.title_word_order_optimizer._GPC_STRING_TO_ID_MAPPING_CONFIG_FILE_NAME', 'gpc_string_to_id_mapping_{}_test') @mock.patch( 'optimizers_builtin.title_word_order_optimizer._TITLE_WORD_ORDER_CONFIG_FILE_NAME', 'title_word_order_config_{}_test') @mock.patch( 'optimizers_builtin.title_word_order_optimizer._TITLE_WORD_ORDER_BLOCKLIST_FILE_NAME', 'title_word_order_blocklist_{}_test') @mock.patch( 'optimizers_builtin.title_word_order_optimizer._TITLE_WORD_ORDER_OPTIONS_FILE_NAME', 'title_word_order_options_test') @mock.patch( 'optimizers_builtin.title_word_order_optimizer._TITLE_WORD_ORDER_DICTIONARY_FILE_NAME', 'title_word_order_dictionary_test') class TitleWordOrderOptimizerTest(parameterized.TestCase): def setUp(self): super(TitleWordOrderOptimizerTest, self).setUp() app_util.setup_test_app() title_word_order_optimizer.CUSTOM_TEXT_TOKENIZER = None self.optimizer = title_word_order_optimizer.TitleWordOrderOptimizer() def test_process_copies_highest_performing_keyword_to_front_of_title(self): original_data = requests_bodies.build_request_body( properties_to_be_updated={ 'title': 'Some title with heavy_keyword in the middle', 'googleProductCategory': _PROPER_GPC_CATEGORY_EN, }) optimized_data, optimization_result = self.optimizer.process( original_data, constants.LANGUAGE_CODE_EN) product = optimized_data['entries'][0]['product'] expected_title = ('[heavy_keyword] Some title with heavy_keyword in the ' 'middle') self.assertEqual(expected_title, product['title']) self.assertEqual(1, optimization_result.num_of_products_optimized) def test_process_copies_multiple_performing_keywords_to_front_of_title(self): original_data = requests_bodies.build_request_body( properties_to_be_updated={ 'title': 'Some title with multiple keywords heavy_keyword ' 'heavy_keyword_2 in the middle', 'googleProductCategory': _PROPER_GPC_CATEGORY_EN, }) optimized_data, optimization_result = self.optimizer.process( original_data, constants.LANGUAGE_CODE_EN) product = optimized_data['entries'][0]['product'] expected_title = ( '[heavy_keyword_2][heavy_keyword] Some title with multiple keywords ' 'heavy_keyword heavy_keyword_2 in the middle') self.assertEqual(expected_title, product['title']) self.assertEqual(1, optimization_result.num_of_products_optimized) def test_process_copies_multiple_performing_keywords_to_front_of_title_in_descending_order_of_weight( self): original_data = requests_bodies.build_request_body( properties_to_be_updated={ 'title': 'Some title with multiple keywords keyword2 keyword1 in the ' 'middle', 'googleProductCategory': _PROPER_GPC_CATEGORY_EN, }) optimized_data, optimization_result = self.optimizer.process( original_data, constants.LANGUAGE_CODE_EN) product = optimized_data['entries'][0]['product'] expected_title = ( '[keyword1][keyword2] Some title with multiple keywords keyword2 ' 'keyword1 in the middle') self.assertEqual(expected_title, product['title']) self.assertEqual(1, optimization_result.num_of_products_optimized) def test_process_copies_at_most_three_performing_keywords_to_front_of_title( self): original_data = requests_bodies.build_request_body( properties_to_be_updated={ 'title': 'Some title with multiple keywords keyword2 keyword1 ' 'heavy_keyword heavy_keyword_2 in the middle', 'googleProductCategory': _PROPER_GPC_CATEGORY_EN, }) optimized_data, optimization_result = self.optimizer.process( original_data, constants.LANGUAGE_CODE_EN) product = optimized_data['entries'][0]['product'] expected_title = ( '[keyword1][keyword2][heavy_keyword_2] Some title with multiple ' 'keywords keyword2 keyword1 heavy_keyword heavy_keyword_2 in the ' 'middle') self.assertEqual(expected_title, product['title']) self.assertEqual(1, optimization_result.num_of_products_optimized) def test_process_does_not_modify_title_when_the_google_product_category_is_not_in_the_config( self): original_title = 'Some title with heavy_keyword in the middle' original_data = requests_bodies.build_request_body( properties_to_be_updated={ 'title': 'Some title with heavy_keyword in the middle', 'googleProductCategory': 'DIY用品 > DIY小物類', }) optimized_data, optimization_result = self.optimizer.process( original_data, constants.LANGUAGE_CODE_EN) product = optimized_data['entries'][0]['product'] self.assertEqual(original_title, product['title']) self.assertEqual(0, optimization_result.num_of_products_optimized) def test_process_does_not_modify_title_when_the_google_product_category_is_in_the_config_but_no_keywords( self): original_title = 'Some title with no target keywords in the middle' original_data = requests_bodies.build_request_body( properties_to_be_updated={ 'title': 'Some title with no target keywords in the middle', 'googleProductCategory': _PROPER_GPC_CATEGORY_EN, }) optimized_data, optimization_result = self.optimizer.process( original_data, constants.LANGUAGE_CODE_EN) product = optimized_data['entries'][0]['product'] self.assertEqual(original_title, product['title']) self.assertEqual(0, optimization_result.num_of_products_optimized) def test_process_moves_keyword_if_title_more_than_max_title_length(self): original_data = requests_bodies.build_request_body( properties_to_be_updated={ 'title': 'a' * (title_word_order_optimizer._MAX_TITLE_LENGTH - len(' heavy_keyword')) + ' heavy_keyword', 'googleProductCategory': _PROPER_GPC_CATEGORY_EN, }) optimized_data, optimization_result = self.optimizer.process( original_data, constants.LANGUAGE_CODE_EN) product = optimized_data['entries'][0]['product'] expected_title = '[heavy_keyword] ' + 'a' * ( title_word_order_optimizer._MAX_TITLE_LENGTH - len(' heavy_keyword')) self.assertEqual(expected_title, product['title']) self.assertEqual(1, optimization_result.num_of_products_optimized) def test_process_skips_one_character_wmm_keyword(self): original_title = 'a' * constants.TITLE_CHARS_VISIBLE_TO_USER_EN + ( ('Some title with single a character keyword')) original_data = requests_bodies.build_request_body( properties_to_be_updated={ 'title': original_title, 'googleProductCategory': _PROPER_GPC_CATEGORY_EN }) optimized_data, optimization_result = self.optimizer.process( original_data, constants.LANGUAGE_CODE_EN) product = optimized_data['entries'][0]['product'] self.assertEqual(original_title, product['title']) self.assertEqual(0, optimization_result.num_of_products_optimized) @parameterized.named_parameters([{ 'testcase_name': 'partial_match', 'original_title': 'a' * constants.TITLE_CHARS_VISIBLE_TO_USER_JA + '有名ブランドTシャツ', 'expected_title': 'a' * constants.TITLE_CHARS_VISIBLE_TO_USER_JA + '有名ブランドTシャツ' }, { 'testcase_name': 'accurate_match', 'original_title': 'a' * constants.TITLE_CHARS_VISIBLE_TO_USER_JA + ' 有名ブランドシャツ', 'expected_title': '[シャツ] ' + 'a' * constants.TITLE_CHARS_VISIBLE_TO_USER_JA + ' 有名ブランドシャツ' }]) def test_wmm_keyword_is_copied_only_with_accurate_match( self, original_title, expected_title): original_data = requests_bodies.build_request_body( properties_to_be_updated={ 'title': original_title, 'googleProductCategory': _PROPER_GPC_CATEGORY_JA }) optimized_data, _ = self.optimizer.process(original_data, constants.LANGUAGE_CODE_JA) product = optimized_data['entries'][0]['product'] self.assertEqual(expected_title, product['title']) @parameterized.named_parameters([{ 'testcase_name': 'one_word_excluded_then_added_back', 'original_title': 'レッド・スニーカー、ブランド： ' 'カイナ、モデル：エオファース、色：レッド', 'expected_title': '[カイナ][エオファース] ' 'レッド・スニーカー、ブランド： ' 'カイナ、モデル：エオファース、色：レッド' }, { 'testcase_name': 'keyword_kaina_already_within_japanese_threshold_chars_no_change_to_title', 'original_title': 'レッド・、カイナ,スニーカー,ブランド：、色：レッド', 'expected_title': 'レッド・、カイナ,スニーカー,ブランド：、色：レッド' }, { 'testcase_name': 'keyword_kaina_right_at_the_limit_of_japanese_threshold_chars_no_change_to_title', 'original_title': 'レッド・レッド123レッド1,カイナ,ブランド：、色：レッド', 'expected_title': 'レッド・レッド123レッド1,カイナ,ブランド：、色：レッド' }, { 'testcase_name': 'keyword_kaina_is_partially_in_the_japanese_threshold_chars_and_partially_out_we_copy_it_to_front_title', 'original_title': 'レッド2・レッド1,レッド321,カイナ,ブランド：、色：レッド', 'expected_title': '[カイナ] ' 'レッド2・レッド1,レッド321,カイナ,ブランド：、色：レッド' }, { 'testcase_name': 'keyword_kaina_is_right_out_of_the_japanese_threshold_chars_we_copy_it_to_front_title', 'original_title': 'レッド21・レッド12,レッド12,カイナ,ブランド：、色：レッド', 'expected_title': '[カイナ] ' 'レッド21・レッド12,レッド12,カイナ,ブランド：、色：レッド' }]) def test_scenario_jp_wmm_keyword_in_first_18_char_of_title( self, original_title, expected_title): original_data = requests_bodies.build_request_body( properties_to_be_updated={ 'title': original_title, 'googleProductCategory': _PROPER_GPC_CATEGORY_JA }) optimized_data, _ = self.optimizer.process(original_data, constants.LANGUAGE_CODE_JA) product = optimized_data['entries'][0]['product'] self.assertEqual(expected_title, product['title']) @mock.patch( 'optimizers_builtin.title_word_order_optimizer.TitleWordOrderOptimizer._optimization_includes_description', return_value=True) def test_wmm_keyword_in_description_is_copied_to_title_when_options_toggle_is_on( self, _): description = 'とても良いカイナとても良い' original_title = ('レッド・スニーカー、ブランド： ' '色：レッド') original_data = requests_bodies.build_request_body( properties_to_be_updated={ 'title': original_title, 'description': description, 'googleProductCategory': _PROPER_GPC_CATEGORY_JA }) optimized_data, _ = self.optimizer.process(original_data, constants.LANGUAGE_CODE_JA) product = optimized_data['entries'][0]['product'] expected_title = ('[カイナ] ' 'レッド・スニーカー、ブランド： ' '色：レッド') self.assertEqual(expected_title, product['title']) @mock.patch( 'optimizers_builtin.title_word_order_optimizer.TitleWordOrderOptimizer._optimization_includes_description', return_value=False) def test_wmm_keyword_in_description_is_not_copied_when_options_toggle_is_off( self, _): description = 'とても良いカイナとても良い' original_title = ('レッド・スニーカー、ブランド： ' '、色：レッド') original_data = requests_bodies.build_request_body( properties_to_be_updated={ 'title': original_title, 'description': description, 'googleProductCategory': _PROPER_GPC_CATEGORY_JA }) optimized_data, optimization_result = self.optimizer.process( original_data, constants.LANGUAGE_CODE_JA) product = optimized_data['entries'][0]['product'] self.assertEqual(original_title, product['title']) self.assertEqual(0, optimization_result.num_of_products_optimized) @parameterized.named_parameters([{ 'testcase_name': 'wmm_word_in_product_type_should_move_to_front_title', 'original_title': 'レッド・スニーカー、ブランド： ' 'モデル：エオファース、色：レッド', 'product_types': ['シャツ'], 'expected_title': '[シャツ][エオファース] ' 'レッド・スニーカー、ブランド： ' 'モデル：エオファース、色：レッド' }, { 'testcase_name': 'wmm_word_in_product_type_list_move_to_front_title', 'original_title': 'レッド・スニーカー、ブランド： ' 'モデル：エオファース、色：レッド', 'product_types': ['シャツ', 'セーター', 'ジャケット'], 'expected_title': '[シャツ][エオファース] ' 'レッド・スニーカー、ブランド： ' 'モデル：エオファース、色：レッド' }]) @mock.patch( 'optimizers_builtin.title_word_order_optimizer.TitleWordOrderOptimizer._optimization_includes_product_types', return_value=True) def test_wmm_keyword_in_product_types_is_copied_to_title_when_options_toggle_is_on( self, _, original_title, product_types, expected_title): original_data = requests_bodies.build_request_body( properties_to_be_updated={ 'title': original_title, 'productTypes': product_types, 'googleProductCategory': _PROPER_GPC_CATEGORY_JA }) optimized_data, _ = self.optimizer.process(original_data, constants.LANGUAGE_CODE_JA) product = optimized_data['entries'][0]['product'] self.assertEqual(expected_title, product['title']) @mock.patch( 'optimizers_builtin.title_word_order_optimizer.TitleWordOrderOptimizer._optimization_includes_product_types', return_value=False) def test_wmm_keyword_in_product_types_is_not_copied_to_title_when_options_toggle_is_off( self, _): original_title = ('レッド・スニーカー、ブランド： ' '色：レッド') product_types = ['シャツ'] original_data = requests_bodies.build_request_body( properties_to_be_updated={ 'title': original_title, 'productTypes': product_types, 'googleProductCategory': _PROPER_GPC_CATEGORY_JA }) optimized_data, _ = self.optimizer.process(original_data, constants.LANGUAGE_CODE_JA) product = optimized_data['entries'][0]['product'] self.assertEqual(original_title, product['title']) @parameterized.named_parameters([{ 'testcase_name': 'japanese_title', 'original_title': 'a' * constants.TITLE_CHARS_VISIBLE_TO_USER_JA + 'タイトルブロック' }, { 'testcase_name': 'check_case_insensitive', 'original_title': 'a' * constants.TITLE_CHARS_VISIBLE_TO_USER_JA + 'Title Block' }]) def test_wmm_keyword_in_blocklist_is_not_copied_to_front( self, original_title): original_data = requests_bodies.build_request_body( properties_to_be_updated={ 'title': original_title, 'googleProductCategory': _PROPER_GPC_CATEGORY_JA }) optimized_data, optimization_result = self.optimizer.process( original_data, constants.LANGUAGE_CODE_JA) product = optimized_data['entries'][0]['product'] self.assertEqual(original_title, product['title']) self.assertEqual(0, optimization_result.num_of_products_optimized) @parameterized.named_parameters([{ 'testcase_name': 'japanese_title_hiroo_mobile_should_move_to_front', 'original_title': 'あなたの携帯電話のために最高の取引をしたいですか？広尾モバイルを使う' }]) def test_dictionary_term_file_help_tokenize_japanese_title_properly( self, original_title): original_data = requests_bodies.build_request_body( properties_to_be_updated={ 'title': original_title, 'googleProductCategory': _PROPER_GPC_CATEGORY_JA }) optimized_data, optimization_result = self.optimizer.process( original_data, constants.LANGUAGE_CODE_JA) product = optimized_data['entries'][0]['product'] expected_title = '[広尾モバイル] あなたの携帯電話のために最高の取引をしたいですか？広尾モバイルを使う' self.assertEqual(expected_title, product['title']) self.assertEqual(1, optimization_result.num_of_products_optimized) @parameterized.named_parameters([{ 'testcase_name': 'non_japanese_title_hiroo_mobile_should_move_to_front', 'original_title': 'You want the best mobile phone deal? Come get Hiroo Mobile now!' }]) def test_dictionary_term_file_help_tokenize_non_japanese_title_properly( self, original_title): original_data = requests_bodies.build_request_body( properties_to_be_updated={ 'title': original_title, 'googleProductCategory': _PROPER_GPC_CATEGORY_EN }) optimized_data, optimization_result = self.optimizer.process( original_data, constants.LANGUAGE_CODE_EN) product = optimized_data['entries'][0]['product'] expected_title = ('[Hiroo Mobile] You want the best mobile phone deal? ' 'Come get Hiroo Mobile now!') self.assertEqual(expected_title, product['title']) self.assertEqual(1, optimization_result.num_of_products_optimized) @mock.patch( 'optimizers_builtin.title_word_order_optimizer.TitleWordOrderOptimizer._get_optimization_level', return_value=title_word_order_optimizer._OptimizationLevel.AGGRESSIVE) def test_keywords_in_gpc_level_3_is_copied_to_front_when_gpc_level_is_deeper_than_3_and_optimization_level_is_aggressive( self, _): original_title = '寒い冬からあなたを守る！モデル：ジャケット、カラー：ブラック、防寒仕様ダウンジャケット' original_data = requests_bodies.build_request_body( properties_to_be_updated={ 'title': original_title, 'googleProductCategory': _GPC_CATEGORY_LEVEL_4_JA }) optimized_data, optimization_result = self.optimizer.process( original_data, constants.LANGUAGE_CODE_JA) product = optimized_data['entries'][0]['product'] expected_title = f'[防寒][ダウンジャケット] {original_title}' self.assertEqual(expected_title, product['title']) self.assertEqual(1, optimization_result.num_of_products_optimized) @mock.patch( 'optimizers_builtin.title_word_order_optimizer.TitleWordOrderOptimizer._get_optimization_level', return_value=title_word_order_optimizer._OptimizationLevel.STANDARD) def test_optimization_is_skipped_when_gpc_level_is_deeper_than_3_and_optimization_level_is_standard( self, _): original_title = '寒い冬からあなたを守る！モデル：ジャケット、カラー：ブラック、防寒仕様ダウンジャケット' original_data = requests_bodies.build_request_body( properties_to_be_updated={ 'title': original_title, 'googleProductCategory': _GPC_CATEGORY_LEVEL_4_JA }) optimized_data, optimization_result = self.optimizer.process( original_data, constants.LANGUAGE_CODE_JA) product = optimized_data['entries'][0]['product'] self.assertEqual(original_title, product['title']) self.assertEqual(0, optimization_result.num_of_products_optimized) def test_process_interprets_valid_gpc_id_and_copies_performant_keyword(self): original_data = requests_bodies.build_request_body( properties_to_be_updated={ 'title': 'Some title with heavy_keyword in the middle', 'googleProductCategory': '201', }) optimized_data, optimization_result = self.optimizer.process( original_data, constants.LANGUAGE_CODE_EN) product = optimized_data['entries'][0]['product'] expected_title = ('[heavy_keyword] Some title with heavy_keyword in the ' 'middle') self.assertEqual(expected_title, product['title']) self.assertEqual(1, optimization_result.num_of_products_optimized) def test_process_ignores_invalid_gpc_id_and_does_nothing(self): original_title = 'Some title with heavy_keyword in the middle' original_data = requests_bodies.build_request_body( properties_to_be_updated={ 'title': original_title, 'googleProductCategory': '202', }) optimized_data, optimization_result = self.optimizer.process( original_data, constants.LANGUAGE_CODE_EN) product = optimized_data['entries'][0]['product'] self.assertEqual(original_title, product['title']) self.assertEqual(0, optimization_result.num_of_products_optimized) def test_promo_text_dont_get_move_to_the_front(self): original_data = requests_bodies.build_request_body( properties_to_be_updated={ 'title': '寒い冬からあなたを守る！モデル：ジャケット、[送料無料] , カイナ ,カラー：ブラック、防寒仕様ダウンジャケット', 'googleProductCategory': _PROPER_GPC_CATEGORY_JA, }) optimized_data, optimization_result = self.optimizer.process( original_data, constants.LANGUAGE_CODE_JA) product = optimized_data['entries'][0]['product'] expected_title = ( '[カイナ] ' '寒い冬からあなたを守る！モデル：ジャケット、[送料無料]' ' , カイナ ' ',カラー：ブラック、防寒仕様ダウンジャケット') self.assertEqual(expected_title, product['title']) self.assertEqual(1, optimization_result.num_of_products_optimized) @mock.patch( 'optimizers_builtin.title_word_order_optimizer.TitleWordOrderOptimizer._get_keywords_position', return_value=title_word_order_optimizer._KeywordsPosition.BACK) def test_keywords_are_appended_in_descending_order_of_weight_when_keywords_position_is_back( self, _): original_data = requests_bodies.build_request_body( properties_to_be_updated={ 'title': 'Some title with multiple keywords keyword2 keyword1 in the ' 'middle', 'googleProductCategory': _PROPER_GPC_CATEGORY_EN, }) optimized_data, optimization_result = self.optimizer.process( original_data, constants.LANGUAGE_CODE_EN) product = optimized_data['entries'][0]['product'] expected_title = ('Some title with multiple keywords keyword2 ' 'keyword1 in the middle [keyword1][keyword2]') self.assertEqual(expected_title, product['title']) self.assertEqual(1, optimization_result.num_of_products_optimized) @mock.patch( 'optimizers_builtin.title_word_order_optimizer.TitleWordOrderOptimizer._get_keywords_position', return_value=title_word_order_optimizer._KeywordsPosition.BACK) def test_at_most_three_keywords_are_appended_weight_when_keywords_position_is_back( self, _): original_data = requests_bodies.build_request_body( properties_to_be_updated={ 'title': 'Some title with multiple keywords keyword2 keyword1 ' 'heavy_keyword heavy_keyword_2 in the middle', 'googleProductCategory': _PROPER_GPC_CATEGORY_EN, }) optimized_data, optimization_result = self.optimizer.process( original_data, constants.LANGUAGE_CODE_EN) product = optimized_data['entries'][0]['product'] expected_title = ( 'Some title with multiple ' 'keywords keyword2 keyword1 heavy_keyword heavy_keyword_2 in the ' 'middle [keyword1][keyword2][heavy_keyword_2]') self.assertEqual(expected_title, product['title']) self.assertEqual(1, optimization_result.num_of_products_optimized) @mock.patch( 'optimizers_builtin.title_word_order_optimizer.TitleWordOrderOptimizer._get_keywords_position', return_value=title_word_order_optimizer._KeywordsPosition.BACK) def test_title_is_not_optimized_if_title_more_than_max_title_length_when_keywords_position_is_back( self, _): original_title = 'a' * (title_word_order_optimizer._MAX_TITLE_LENGTH - len(' heavy_keyword')) + ' heavy_keyword' original_data = requests_bodies.build_request_body( properties_to_be_updated={ 'title': original_title, 'googleProductCategory': _PROPER_GPC_CATEGORY_EN, }) optimized_data, optimization_result = self.optimizer.process( original_data, constants.LANGUAGE_CODE_EN) product = optimized_data['entries'][0]['product'] self.assertEqual(original_title, product['title']) self.assertEqual(0, optimization_result.num_of_products_optimized) @mock.patch( 'optimizers_builtin.title_word_order_optimizer.TitleWordOrderOptimizer._get_keywords_position', return_value=title_word_order_optimizer._KeywordsPosition.BACK) def test_a_number_of_keywords_are_appended_so_that_title_length_does_not_exceed_max_length_when_keywords_position_is_back( self, _): original_title = 'a' * (title_word_order_optimizer._MAX_TITLE_LENGTH - len( ' keyword1 keyword2 [keyword1]')) + ' keyword1 keyword2' original_data = requests_bodies.build_request_body( properties_to_be_updated={ 'title': original_title, 'googleProductCategory': _PROPER_GPC_CATEGORY_EN, }) optimized_data, optimization_result = self.optimizer.process( original_data, constants.LANGUAGE_CODE_EN) product = optimized_data['entries'][0]['product'] # [keyword2] is not appended. expected_title = 'a' * (title_word_order_optimizer._MAX_TITLE_LENGTH - len( ' keyword1 keyword2 [keyword1]')) + ' keyword1 keyword2 [keyword1]' self.assertEqual(expected_title, product['title']) self.assertEqual(1, optimization_result.num_of_products_optimized) def _set_test_variables(module: 'Module'): """Sets the module variables for testing outside a Flask environment.""" module.GPC_STRING_TO_ID_MAPPING_CONFIG = { 'Apparel & Accessories': 166, 'Apparel & Accessories > Jewelry': 188, 'Apparel & Accessories > Jewelry > Watches': 201, } module.TITLE_WORD_ORDER_CONFIG = { '201': [{ 'keyword': 'keyword1', 'weight': 0.8 }, { 'keyword': 'keyword2', 'weight': 0.7 }, { 'keyword': 'heavy_keyword', 'weight': 0.5 }, { 'keyword': 'heavy_keyword_2', 'weight': 0.6 }, { 'keyword': 'a', 'weight': 0.4 }, { 'keyword': 'magic', 'weight': 0.3 }], '632': [{ 'keyword': 'keyword1', 'weight': 0.5 }, { 'keyword': 'keyword2', 'weight': 0.7 }] } module.BLOCKLIST_CONFIG = {} module.TITLE_WORD_ORDER_OPTIONS_CONFIG = { 'descriptionIncluded': False, 'productTypesIncluded': False, 'optimizationLevel': 'standard' } module.TITLE_WORD_ORDER_DICTIONARY_CONFIG = [] @mock.patch( 'optimizers_builtin.title_word_order_optimizer._TITLE_WORD_ORDER_OPTIONS_FILE_NAME', 'title_word_order_options_test') class TitleWordOrderOptimizerNoFlaskTest(parameterized.TestCase): """Tests TitleWordOrderOptimizer running outside a Flask context.""" def setUp(self): super(TitleWordOrderOptimizerNoFlaskTest, self).setUp() # Explicitly no Flask context setup here. _set_test_variables(module=title_word_order_optimizer) self.optimizer = title_word_order_optimizer.TitleWordOrderOptimizer() def test_process_copies_highest_performing_keyword_to_front_of_title(self): original_data = requests_bodies.build_request_body( properties_to_be_updated={ 'title': 'Some title with heavy_keyword in the middle', 'googleProductCategory': _PROPER_GPC_CATEGORY_EN, }) optimized_data, optimization_result = self.optimizer.process( original_data, constants.LANGUAGE_CODE_EN) product = optimized_data['entries'][0]['product'] expected_title = ('[heavy_keyword] Some title with heavy_keyword in the ' 'middle') self.assertEqual(expected_title, product['title']) self.assertEqual(1, optimization_result.num_of_products_optimized) def test_process_uses_custom_text_tokenizer(self): title_word_order_optimizer.CUSTOM_TEXT_TOKENIZER = _custom_text_tokenizer original_data = requests_bodies.build_request_body( properties_to_be_updated={ 'title': 'Some,title,with,heavy_keyword,with,commas', 'googleProductCategory': _PROPER_GPC_CATEGORY_EN, }) optimized_data, optimization_result = self.optimizer.process( original_data, constants.LANGUAGE_CODE_EN) product = optimized_data['entries'][0]['product'] expected_title = ( '[heavy_keyword] Some,title,with,heavy_keyword,with,commas') self.assertEqual(expected_title, product['title']) self.assertEqual(1, optimization_result.num_of_products_optimized) def _custom_text_tokenizer(text: str, lang: str, dictionary_terms: Dict[str, str]) -> List[str]: """Helper function to split text by a comma.""" del lang del dictionary_terms return text.split(',')

40.673387

124

0.702257

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0.098805

0.034018

0.03331

0.039587

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0.829452

0.822011

0.797864

0.769414

0.75772

0

0.00811

0.205413

30,261

743

125

40.728129

0.81256

0.029345

0

0.725363

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0.260653

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0.001616

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null

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7

ed84e3a3f7152bbf582ccf3c0d90d0da006e4561

36,655

py

Python

appengine/findit/handlers/flake/detection/test/flake_detection_utils_test.py

xswz8015/infra

f956b78ce4c39cc76acdda47601b86794ae0c1ba

[ "BSD-3-Clause" ]

null

appengine/findit/handlers/flake/detection/test/flake_detection_utils_test.py

xswz8015/infra

f956b78ce4c39cc76acdda47601b86794ae0c1ba

[ "BSD-3-Clause" ]

7

2022-02-15T01:11:37.000Z

2022-03-02T12:46:13.000Z

appengine/findit/handlers/flake/detection/test/flake_detection_utils_test.py

NDevTK/chromium-infra

d38e088e158d81f7f2065a38aa1ea1894f735ec4

[ "BSD-3-Clause" ]

null

# Copyright 2018 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. from datetime import datetime import mock from handlers.flake.detection import flake_detection_utils from libs import analysis_status from libs import time_util from model.flake.analysis.flake_culprit import FlakeCulprit from model.flake.analysis.master_flake_analysis import MasterFlakeAnalysis from model.flake.detection.flake_occurrence import FlakeOccurrence from model.flake.flake import Flake from model.flake.flake_issue import FlakeIssue from model.flake.flake_type import FlakeType from model.test_location import TestLocation from model.test_inventory import LuciTest from waterfall.test.wf_testcase import WaterfallTestCase class FlakeDetectionUtilsTest(WaterfallTestCase): @mock.patch.object(time_util, 'GetUTCNow', return_value=datetime(2018, 1, 3)) @mock.patch.object( time_util, 'GetDatetimeBeforeNow', return_value=datetime(2017, 12, 27)) def testGetFlakeInformation(self, *_): flake_issue = FlakeIssue.Create(monorail_project='chromium', issue_id=900) flake_issue.last_updated_time_by_flake_detection = datetime(2018, 1, 1) flake_issue.last_updated_time_in_monorail = datetime(2018, 1, 2) flake_issue.status = 'Started' flake_issue.put() luci_project = 'chromium' step_ui_name = 'step' test_name = 'test' normalized_step_name = 'normalized_step_name' normalized_test_name = 'normalized_test_name' test_label_name = 'test_label' flake = Flake.Create( luci_project=luci_project, normalized_step_name=normalized_step_name, normalized_test_name=normalized_test_name, test_label_name=test_label_name, ) flake.component = 'Mock>Component' flake.test_location = TestLocation() flake.test_location.file_path = '../../some/test/path/a.cc' flake.test_location.line_number = 42 flake.flake_issue_key = flake_issue.key flake.flake_score_last_week = 10 flake.put() build_id = 123 luci_bucket = 'try' luci_builder = 'luci builder' legacy_master_name = 'buildbot master' legacy_build_number = 999 time_happened = datetime(2018, 1, 1) gerrit_cl_id = 98765 occurrence = FlakeOccurrence.Create( flake_type=FlakeType.CQ_FALSE_REJECTION, build_id=build_id, step_ui_name=step_ui_name, test_name=test_name, luci_project=luci_project, luci_bucket=luci_bucket, luci_builder=luci_builder, legacy_master_name=legacy_master_name, legacy_build_number=legacy_build_number, time_happened=time_happened, gerrit_cl_id=gerrit_cl_id, parent_flake_key=flake.key) occurrence.time_detected = datetime(2018, 1, 1) occurrence.put() occurrence2 = FlakeOccurrence.Create( flake_type=FlakeType.RETRY_WITH_PATCH, build_id=124, step_ui_name=step_ui_name, test_name=test_name, luci_project=luci_project, luci_bucket=luci_bucket, luci_builder='luci builder 2', legacy_master_name=legacy_master_name, legacy_build_number=legacy_build_number, time_happened=datetime(2018, 1, 2, 3), gerrit_cl_id=gerrit_cl_id, parent_flake_key=flake.key) occurrence2.time_detected = datetime(2018, 1, 2, 3) occurrence2.put() occurrence3 = FlakeOccurrence.Create( flake_type=FlakeType.CQ_FALSE_REJECTION, build_id=125, step_ui_name=step_ui_name, test_name=test_name, luci_project=luci_project, luci_bucket=luci_bucket, luci_builder='luci builder 2', legacy_master_name=legacy_master_name, legacy_build_number=legacy_build_number, time_happened=datetime(2018, 1, 2, 2), gerrit_cl_id=gerrit_cl_id, parent_flake_key=flake.key) occurrence3.time_detected = datetime(2018, 1, 2, 2) occurrence3.put() occurrence4 = FlakeOccurrence.Create( flake_type=FlakeType.CQ_HIDDEN_FLAKE, build_id=126, step_ui_name=step_ui_name, test_name=test_name, luci_project=luci_project, luci_bucket=luci_bucket, luci_builder='luci builder 2', legacy_master_name=legacy_master_name, legacy_build_number=legacy_build_number, time_happened=datetime(2018, 1, 2, 2), gerrit_cl_id=gerrit_cl_id, parent_flake_key=flake.key) occurrence4.time_detected = datetime(2018, 1, 2, 2) occurrence4.put() occurrence5 = FlakeOccurrence.Create( flake_type=FlakeType.CI_FAILED_STEP, build_id=127, step_ui_name=step_ui_name, test_name=test_name, luci_project=luci_project, luci_bucket=luci_bucket, luci_builder='luci builder 2', legacy_master_name=legacy_master_name, legacy_build_number=legacy_build_number, time_happened=datetime(2018, 1, 2, 2), gerrit_cl_id=-1, parent_flake_key=flake.key) occurrence5.time_detected = datetime(2018, 1, 2, 2) occurrence5.put() occurrence6 = FlakeOccurrence.Create( flake_type=FlakeType.CI_FAILED_STEP, build_id=128, step_ui_name=step_ui_name, test_name=test_name, luci_project=luci_project, luci_bucket=luci_bucket, luci_builder='luci builder 2', legacy_master_name=legacy_master_name, legacy_build_number=legacy_build_number, time_happened=datetime(2017, 1, 2, 2), gerrit_cl_id=-1, parent_flake_key=flake.key) occurrence6.time_detected = datetime(2017, 1, 2, 2) occurrence6.put() culprit1 = FlakeCulprit.Create('chromium', 'rev1', 123456, 'culprit_url') culprit1.put() analysis = MasterFlakeAnalysis.Create(legacy_master_name, luci_builder, legacy_build_number, step_ui_name, test_name) analysis.bug_id = 900 analysis.culprit_urlsafe_key = culprit1.key.urlsafe() analysis.confidence_in_culprit = 0.98 analysis.put() culprit2 = FlakeCulprit.Create('chromium', 'rev2', 123457, 'culprit_url') culprit2.put() analysis_1 = MasterFlakeAnalysis.Create(legacy_master_name, luci_builder, legacy_build_number - 1, step_ui_name, test_name) analysis_1.bug_id = 900 analysis_1.culprit_urlsafe_key = culprit2.key.urlsafe() analysis_1.put() expected_flake_dict = { 'luci_project': 'chromium', 'normalized_step_name': 'normalized_step_name', 'normalized_test_name': 'normalized_test_name', 'test_label_name': 'test_label', 'flake_issue_key': flake_issue.key, 'last_occurred_time': None, 'last_test_location_based_tag_update_time': None, 'false_rejection_count_last_week': 0, 'impacted_cl_count_last_week': 0, 'archived': False, 'flake_counts_last_week': [ { 'flake_type': 'cq false rejection', 'impacted_cl_count': 0, 'occurrence_count': 0 }, { 'flake_type': 'cq step level retry', 'impacted_cl_count': 0, 'occurrence_count': 0 }, { 'flake_type': 'cq hidden flake', 'impacted_cl_count': 0, 'occurrence_count': 0 }, { 'flake_type': 'ci failed step', 'impacted_cl_count': 0, 'occurrence_count': 0 }, ], 'flake_score_last_week': 10, 'flake_issue': { 'flake_culprit_key': None, 'monorail_project': 'chromium', 'issue_id': 900, 'last_updated_time_by_flake_detection': datetime(2018, 1, 1), 'issue_link': ('https://monorail-prod.appspot.com/p/chromium/' 'issues/detail?id=900'), 'merge_destination_key': None, 'last_updated_time_in_monorail': '1 day, 00:00:00', 'last_updated_time_with_analysis_results': None, 'create_time_in_monorail': None, 'labels': [], 'status': 'Started', }, 'component': 'Mock>Component', 'test_location': { 'file_path': '../../some/test/path/a.cc', 'line_number': 42, }, 'tags': [], 'culprits': [{ 'revision': 'rev1', 'commit_position': culprit1.commit_position, 'culprit_key': culprit1.key.urlsafe() }], 'sample_analysis': None, 'occurrences': [{ 'group_by_field': 'luci builder 2', 'occurrences': [ { 'flake_type': 'cq step level retry', 'build_id': '124', 'step_ui_name': step_ui_name, 'test_name': test_name, 'tags': [], 'build_configuration': { 'luci_project': 'chromium', 'luci_bucket': 'try', 'luci_builder': 'luci builder 2', 'legacy_master_name': 'buildbot master', 'legacy_build_number': 999 }, 'time_happened': '2018-01-02 03:00:00 UTC', 'time_detected': '2018-01-02 03:00:00 UTC', 'gerrit_cl_id': gerrit_cl_id }, { 'flake_type': 'cq false rejection', 'build_id': '125', 'step_ui_name': step_ui_name, 'test_name': test_name, 'tags': [], 'build_configuration': { 'luci_project': 'chromium', 'luci_bucket': 'try', 'luci_builder': 'luci builder 2', 'legacy_master_name': 'buildbot master', 'legacy_build_number': 999 }, 'time_happened': '2018-01-02 02:00:00 UTC', 'time_detected': '2018-01-02 02:00:00 UTC', 'gerrit_cl_id': gerrit_cl_id }, { 'flake_type': 'ci failed step', 'build_id': '127', 'step_ui_name': step_ui_name, 'test_name': test_name, 'tags': [], 'build_configuration': { 'luci_project': 'chromium', 'luci_bucket': 'try', 'luci_builder': 'luci builder 2', 'legacy_master_name': 'buildbot master', 'legacy_build_number': 999 }, 'time_happened': '2018-01-02 02:00:00 UTC', 'time_detected': '2018-01-02 02:00:00 UTC', 'gerrit_cl_id': -1, }, { 'flake_type': 'cq hidden flake', 'build_id': '126', 'step_ui_name': step_ui_name, 'test_name': test_name, 'tags': [], 'build_configuration': { 'luci_project': 'chromium', 'luci_bucket': 'try', 'luci_builder': 'luci builder 2', 'legacy_master_name': 'buildbot master', 'legacy_build_number': 999 }, 'time_happened': '2018-01-02 02:00:00 UTC', 'time_detected': '2018-01-02 02:00:00 UTC', 'gerrit_cl_id': gerrit_cl_id, }, ] }, { 'group_by_field': 'luci builder', 'occurrences': [{ 'flake_type': 'cq false rejection', 'build_id': '123', 'step_ui_name': step_ui_name, 'test_name': test_name, 'tags': [], 'build_configuration': { 'luci_project': 'chromium', 'luci_bucket': 'try', 'luci_builder': 'luci builder', 'legacy_master_name': 'buildbot master', 'legacy_build_number': 999 }, 'time_happened': '2018-01-01 00:00:00 UTC', 'time_detected': '2018-01-01 00:00:00 UTC', 'gerrit_cl_id': gerrit_cl_id }] }], } self.assertEqual(expected_flake_dict, flake_detection_utils.GetFlakeInformation(flake, 6)) @mock.patch.object(time_util, 'GetUTCNow', return_value=datetime(2019, 1, 3)) @mock.patch.object( time_util, 'GetDatetimeBeforeNow', return_value=datetime(2018, 12, 27)) def testGetFlakeInformationOldFlakes(self, *_): flake_issue = FlakeIssue.Create(monorail_project='chromium', issue_id=900) flake_issue.last_updated_time_by_flake_detection = datetime(2018, 1, 1) flake_issue.last_updated_time_in_monorail = datetime(2018, 1, 2) flake_issue.status = 'Started' flake_issue.put() luci_project = 'chromium' step_ui_name = 'step' test_name = 'test' normalized_step_name = 'normalized_step_name' normalized_test_name = 'normalized_test_name' test_label_name = 'test_label' flake = Flake.Create( luci_project=luci_project, normalized_step_name=normalized_step_name, normalized_test_name=normalized_test_name, test_label_name=test_label_name, ) flake.component = 'Mock>Component' flake.test_location = TestLocation() flake.test_location.file_path = '../../some/test/path/a.cc' flake.test_location.line_number = 42 flake.flake_issue_key = flake_issue.key flake.archived = True flake.put() build_id = 123 luci_bucket = 'try' luci_builder = 'luci builder' legacy_master_name = 'buildbot master' legacy_build_number = 999 time_happened = datetime(2018, 1, 1) gerrit_cl_id = 98765 occurrence = FlakeOccurrence.Create( flake_type=FlakeType.CQ_FALSE_REJECTION, build_id=build_id, step_ui_name=step_ui_name, test_name=test_name, luci_project=luci_project, luci_bucket=luci_bucket, luci_builder=luci_builder, legacy_master_name=legacy_master_name, legacy_build_number=legacy_build_number, time_happened=time_happened, gerrit_cl_id=gerrit_cl_id, parent_flake_key=flake.key) occurrence.time_detected = datetime(2018, 1, 1) occurrence.put() occurrence2 = FlakeOccurrence.Create( flake_type=FlakeType.RETRY_WITH_PATCH, build_id=124, step_ui_name=step_ui_name, test_name=test_name, luci_project=luci_project, luci_bucket=luci_bucket, luci_builder='luci builder 2', legacy_master_name=legacy_master_name, legacy_build_number=legacy_build_number, time_happened=datetime(2018, 1, 2, 3), gerrit_cl_id=gerrit_cl_id, parent_flake_key=flake.key) occurrence2.time_detected = datetime(2018, 1, 2, 3) occurrence2.put() occurrence3 = FlakeOccurrence.Create( flake_type=FlakeType.CQ_FALSE_REJECTION, build_id=125, step_ui_name=step_ui_name, test_name=test_name, luci_project=luci_project, luci_bucket=luci_bucket, luci_builder='luci builder 2', legacy_master_name=legacy_master_name, legacy_build_number=legacy_build_number, time_happened=datetime(2018, 1, 2, 2), gerrit_cl_id=gerrit_cl_id, parent_flake_key=flake.key) occurrence3.time_detected = datetime(2018, 1, 2, 2) occurrence3.put() occurrence4 = FlakeOccurrence.Create( flake_type=FlakeType.CQ_HIDDEN_FLAKE, build_id=126, step_ui_name=step_ui_name, test_name=test_name, luci_project=luci_project, luci_bucket=luci_bucket, luci_builder='luci builder 2', legacy_master_name=legacy_master_name, legacy_build_number=legacy_build_number, time_happened=datetime(2018, 1, 2, 4), gerrit_cl_id=gerrit_cl_id, parent_flake_key=flake.key) occurrence4.time_detected = datetime(2018, 1, 2, 4) occurrence4.put() occurrence5 = FlakeOccurrence.Create( flake_type=FlakeType.CI_FAILED_STEP, build_id=127, step_ui_name=step_ui_name, test_name=test_name, luci_project=luci_project, luci_bucket=luci_bucket, luci_builder='luci builder 2', legacy_master_name=legacy_master_name, legacy_build_number=legacy_build_number, time_happened=datetime(2018, 1, 2, 5), gerrit_cl_id=-1, parent_flake_key=flake.key) occurrence5.time_detected = datetime(2018, 1, 2, 5) occurrence5.put() culprit1 = FlakeCulprit.Create('chromium', 'rev1', 123456, 'culprit_url') culprit1.put() analysis = MasterFlakeAnalysis.Create(legacy_master_name, luci_builder, legacy_build_number, step_ui_name, test_name) analysis.bug_id = 900 analysis.culprit_urlsafe_key = culprit1.key.urlsafe() analysis.confidence_in_culprit = 0.98 analysis.put() culprit2 = FlakeCulprit.Create('chromium', 'rev2', 123457, 'culprit_url') culprit2.put() analysis_1 = MasterFlakeAnalysis.Create(legacy_master_name, luci_builder, legacy_build_number - 1, step_ui_name, test_name) analysis_1.bug_id = 900 analysis_1.culprit_urlsafe_key = culprit2.key.urlsafe() analysis_1.put() expected_flake_dict = { 'luci_project': 'chromium', 'normalized_step_name': 'normalized_step_name', 'normalized_test_name': 'normalized_test_name', 'test_label_name': 'test_label', 'flake_issue_key': flake_issue.key, 'last_occurred_time': None, 'last_test_location_based_tag_update_time': None, 'false_rejection_count_last_week': 0, 'impacted_cl_count_last_week': 0, 'archived': True, 'flake_counts_last_week': [ { 'flake_type': 'cq false rejection', 'impacted_cl_count': 0, 'occurrence_count': 0 }, { 'flake_type': 'cq step level retry', 'impacted_cl_count': 0, 'occurrence_count': 0 }, { 'flake_type': 'cq hidden flake', 'impacted_cl_count': 0, 'occurrence_count': 0 }, { 'flake_type': 'ci failed step', 'impacted_cl_count': 0, 'occurrence_count': 0 }, ], 'flake_score_last_week': 0, 'flake_issue': { 'flake_culprit_key': None, 'monorail_project': 'chromium', 'issue_id': 900, 'last_updated_time_by_flake_detection': datetime(2018, 1, 1), 'issue_link': ('https://monorail-prod.appspot.com/p/chromium/' 'issues/detail?id=900'), 'merge_destination_key': None, 'last_updated_time_in_monorail': '366 days, 00:00:00', 'last_updated_time_with_analysis_results': None, 'create_time_in_monorail': None, 'labels': [], 'status': 'Started', }, 'component': 'Mock>Component', 'test_location': { 'file_path': '../../some/test/path/a.cc', 'line_number': 42, }, 'tags': [], 'culprits': [{ 'revision': 'rev1', 'commit_position': culprit1.commit_position, 'culprit_key': culprit1.key.urlsafe() }], 'sample_analysis': None, 'occurrences': [{ 'group_by_field': 'luci builder 2', 'occurrences': [ { 'flake_type': 'ci failed step', 'build_id': '127', 'step_ui_name': step_ui_name, 'test_name': test_name, 'tags': [], 'build_configuration': { 'luci_project': 'chromium', 'luci_bucket': 'try', 'luci_builder': 'luci builder 2', 'legacy_master_name': 'buildbot master', 'legacy_build_number': 999 }, 'time_happened': '2018-01-02 05:00:00 UTC', 'time_detected': '2018-01-02 05:00:00 UTC', 'gerrit_cl_id': -1, }, { 'flake_type': 'cq hidden flake', 'build_id': '126', 'step_ui_name': step_ui_name, 'test_name': test_name, 'tags': [], 'build_configuration': { 'luci_project': 'chromium', 'luci_bucket': 'try', 'luci_builder': 'luci builder 2', 'legacy_master_name': 'buildbot master', 'legacy_build_number': 999 }, 'time_happened': '2018-01-02 04:00:00 UTC', 'time_detected': '2018-01-02 04:00:00 UTC', 'gerrit_cl_id': gerrit_cl_id, }, { 'flake_type': 'cq step level retry', 'build_id': '124', 'step_ui_name': step_ui_name, 'test_name': test_name, 'tags': [], 'build_configuration': { 'luci_project': 'chromium', 'luci_bucket': 'try', 'luci_builder': 'luci builder 2', 'legacy_master_name': 'buildbot master', 'legacy_build_number': 999 }, 'time_happened': '2018-01-02 03:00:00 UTC', 'time_detected': '2018-01-02 03:00:00 UTC', 'gerrit_cl_id': gerrit_cl_id }, { 'flake_type': 'cq false rejection', 'build_id': '125', 'step_ui_name': step_ui_name, 'test_name': test_name, 'tags': [], 'build_configuration': { 'luci_project': 'chromium', 'luci_bucket': 'try', 'luci_builder': 'luci builder 2', 'legacy_master_name': 'buildbot master', 'legacy_build_number': 999 }, 'time_happened': '2018-01-02 02:00:00 UTC', 'time_detected': '2018-01-02 02:00:00 UTC', 'gerrit_cl_id': gerrit_cl_id }, ] }, { 'group_by_field': 'luci builder', 'occurrences': [{ 'flake_type': 'cq false rejection', 'build_id': '123', 'step_ui_name': step_ui_name, 'test_name': test_name, 'tags': [], 'build_configuration': { 'luci_project': 'chromium', 'luci_bucket': 'try', 'luci_builder': 'luci builder', 'legacy_master_name': 'buildbot master', 'legacy_build_number': 999 }, 'time_happened': '2018-01-01 00:00:00 UTC', 'time_detected': '2018-01-01 00:00:00 UTC', 'gerrit_cl_id': gerrit_cl_id }] }], } self.assertEqual(expected_flake_dict, flake_detection_utils.GetFlakeInformation(flake, 5)) def testGetFlakeInformationNoOccurrences(self): luci_project = 'chromium' normalized_step_name = 'normalized_step_name' normalized_test_name = 'normalized_test_name_2' test_label_name = 'test_label' flake = Flake.Create( luci_project=luci_project, normalized_step_name=normalized_step_name, normalized_test_name=normalized_test_name, test_label_name=test_label_name) flake.put() self.assertIsNone(flake_detection_utils.GetFlakeInformation(flake, None)) @mock.patch.object(time_util, 'GetUTCNow', return_value=datetime(2018, 1, 3)) @mock.patch.object( time_util, 'GetDatetimeBeforeNow', return_value=datetime(2017, 12, 27)) def testGetFlakeInformationClosedIssue(self, *_): flake_issue = FlakeIssue.Create(monorail_project='chromium', issue_id=900) flake_issue.last_updated_time_by_flake_detection = datetime(2018, 1, 1) flake_issue.last_updated_time_in_monorail = datetime(2018, 1, 2) flake_issue.status = 'WontFix' flake_issue.put() luci_project = 'chromium' step_ui_name = 'step' test_name = 'test' normalized_step_name = 'normalized_step_name' normalized_test_name = 'normalized_test_name_3' test_label_name = 'test_label' flake = Flake.Create( luci_project=luci_project, normalized_step_name=normalized_step_name, normalized_test_name=normalized_test_name, test_label_name=test_label_name) flake.flake_issue_key = flake_issue.key flake.put() build_id = 123 luci_bucket = 'try' luci_builder = 'luci builder' legacy_master_name = 'buildbot master' legacy_build_number = 999 time_happened = datetime(2018, 1, 1) gerrit_cl_id = 98765 occurrence = FlakeOccurrence.Create( flake_type=FlakeType.CQ_FALSE_REJECTION, build_id=build_id, step_ui_name=step_ui_name, test_name=test_name, luci_project=luci_project, luci_bucket=luci_bucket, luci_builder=luci_builder, legacy_master_name=legacy_master_name, legacy_build_number=legacy_build_number, time_happened=time_happened, gerrit_cl_id=gerrit_cl_id, parent_flake_key=flake.key) occurrence.time_detected = datetime(2018, 1, 1) occurrence.put() expected_flake_dict = { 'luci_project': 'chromium', 'normalized_step_name': normalized_step_name, 'normalized_test_name': normalized_test_name, 'test_label_name': test_label_name, 'flake_issue_key': flake_issue.key, 'last_occurred_time': None, 'last_test_location_based_tag_update_time': None, 'false_rejection_count_last_week': 0, 'impacted_cl_count_last_week': 0, 'archived': False, 'flake_counts_last_week': [ { 'flake_type': 'cq false rejection', 'impacted_cl_count': 0, 'occurrence_count': 0 }, { 'flake_type': 'cq step level retry', 'impacted_cl_count': 0, 'occurrence_count': 0 }, { 'flake_type': 'cq hidden flake', 'impacted_cl_count': 0, 'occurrence_count': 0 }, { 'flake_type': 'ci failed step', 'impacted_cl_count': 0, 'occurrence_count': 0 }, ], 'flake_score_last_week': 0, 'component': None, 'test_location': None, 'tags': [], 'occurrences': [{ 'group_by_field': 'luci builder', 'occurrences': [{ 'flake_type': 'cq false rejection', 'build_id': '123', 'step_ui_name': step_ui_name, 'test_name': test_name, 'tags': [], 'build_configuration': { 'luci_project': 'chromium', 'luci_bucket': 'try', 'luci_builder': 'luci builder', 'legacy_master_name': 'buildbot master', 'legacy_build_number': 999 }, 'time_happened': '2018-01-01 00:00:00 UTC', 'time_detected': '2018-01-01 00:00:00 UTC', 'gerrit_cl_id': gerrit_cl_id }] }], } self.assertEqual(expected_flake_dict, flake_detection_utils.GetFlakeInformation(flake, 1)) @mock.patch.object(time_util, 'GetUTCNow', return_value=datetime(2018, 1, 3)) @mock.patch.object( time_util, 'GetDatetimeBeforeNow', return_value=datetime(2017, 12, 27)) def testGetFlakeInformationNoIssue(self, *_): luci_project = 'chromium' step_ui_name = 'step' test_name = 'test' normalized_step_name = 'normalized_step_name' normalized_test_name = 'normalized_test_name_3' test_label_name = 'test_label' flake = Flake.Create( luci_project=luci_project, normalized_step_name=normalized_step_name, normalized_test_name=normalized_test_name, test_label_name=test_label_name) flake.put() build_id = 123 luci_bucket = 'try' luci_builder = 'luci builder' legacy_master_name = 'buildbot master' legacy_build_number = 999 time_happened = datetime(2018, 1, 1) gerrit_cl_id = 98765 occurrence = FlakeOccurrence.Create( flake_type=FlakeType.CQ_FALSE_REJECTION, build_id=build_id, step_ui_name=step_ui_name, test_name=test_name, luci_project=luci_project, luci_bucket=luci_bucket, luci_builder=luci_builder, legacy_master_name=legacy_master_name, legacy_build_number=legacy_build_number, time_happened=time_happened, gerrit_cl_id=gerrit_cl_id, parent_flake_key=flake.key) occurrence.time_detected = datetime(2018, 1, 1) occurrence.put() expected_flake_dict = { 'luci_project': 'chromium', 'normalized_step_name': normalized_step_name, 'normalized_test_name': normalized_test_name, 'test_label_name': test_label_name, 'flake_issue_key': None, 'last_occurred_time': None, 'last_test_location_based_tag_update_time': None, 'false_rejection_count_last_week': 0, 'impacted_cl_count_last_week': 0, 'archived': False, 'flake_counts_last_week': [ { 'flake_type': 'cq false rejection', 'impacted_cl_count': 0, 'occurrence_count': 0 }, { 'flake_type': 'cq step level retry', 'impacted_cl_count': 0, 'occurrence_count': 0 }, { 'flake_type': 'cq hidden flake', 'impacted_cl_count': 0, 'occurrence_count': 0 }, { 'flake_type': 'ci failed step', 'impacted_cl_count': 0, 'occurrence_count': 0 }, ], 'flake_score_last_week': 0, 'component': None, 'test_location': None, 'tags': [], 'occurrences': [{ 'group_by_field': 'luci builder', 'occurrences': [{ 'flake_type': 'cq false rejection', 'build_id': '123', 'step_ui_name': step_ui_name, 'test_name': test_name, 'tags': [], 'build_configuration': { 'luci_project': 'chromium', 'luci_bucket': 'try', 'luci_builder': 'luci builder', 'legacy_master_name': 'buildbot master', 'legacy_build_number': 999 }, 'time_happened': '2018-01-01 00:00:00 UTC', 'time_detected': '2018-01-01 00:00:00 UTC', 'gerrit_cl_id': gerrit_cl_id }] }], } self.assertEqual(expected_flake_dict, flake_detection_utils.GetFlakeInformation(flake, 1)) def testGetFlakeAnalysesResultsNoAnalyses(self): self.assertEqual(([], None), flake_detection_utils._GetFlakeAnalysesResults(123)) def testGetFlakeAnalysesResultsFailedToGetCulprit(self): analysis = MasterFlakeAnalysis.Create('m', 'b', 12345, 's', 't') analysis.bug_id = 123 analysis.culprit_urlsafe_key = 'culprit.key' analysis.status = analysis_status.COMPLETED analysis.put() self.assertEqual(([], { 'status': 'Completed, no culprit found', 'analysis_key': analysis.key.urlsafe() }), flake_detection_utils._GetFlakeAnalysesResults(123)) def testGetFlakeAnalysesResultsShowRunningAnalysis(self): analysis_1 = MasterFlakeAnalysis.Create('m', 'b', 12345, 's', 't') analysis_1.bug_id = 123 analysis_1.status = analysis_status.RUNNING analysis_1.put() analysis_2 = MasterFlakeAnalysis.Create('m', 'b', 12345, 's', 't') analysis_2.bug_id = 123 analysis_2.status = analysis_status.ERROR analysis_2.put() self.assertEqual(([], { 'status': 'Running', 'analysis_key': analysis_1.key.urlsafe() }), flake_detection_utils._GetFlakeAnalysesResults(123)) def testGetFlakeAnalysesResultsShowPendingAnalysis(self): analysis_1 = MasterFlakeAnalysis.Create('m', 'b', 12345, 's', 't') analysis_1.bug_id = 123 analysis_1.put() self.assertEqual(([], { 'status': 'Pending', 'analysis_key': analysis_1.key.urlsafe() }), flake_detection_utils._GetFlakeAnalysesResults(123)) def testGetFlakeAnalysesResultsNotShowErrorAnalysis(self): analysis_2 = MasterFlakeAnalysis.Create('m', 'b', 12345, 's', 't') analysis_2.bug_id = 123 analysis_2.status = analysis_status.ERROR analysis_2.put() self.assertEqual(([], {}), flake_detection_utils._GetFlakeAnalysesResults(123)) def testRemoveDisabledFlakes(self): flake_1 = Flake.Create('a', 'b', '1', 'test_label') flake_2 = Flake.Create('a', 'b', '2', 'test_label') flake_3 = Flake.Create('a', 'b', '3', 'test_label') luci_test_1 = LuciTest( key=LuciTest.CreateKey('a', 'b', 1), disabled_test_variants={('config',)}, ) luci_test_1.put() luci_test_2 = LuciTest( key=LuciTest.CreateKey('a', 'b', 2), disabled_test_variants=set(), ) luci_test_2.put() self.assertEqual([flake_2, flake_3], flake_detection_utils.RemoveDisabledFlakes( [flake_1, flake_2, flake_3]))

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92e3ad13b0f5ab447b292e4a64d10c876d1507fa

177

py

Python

bats/util.py

uncommoncode/bats

f338966bb29d9c8d0921e0b76605095436a748e7

[ "BSD-2-Clause" ]

1

2020-03-14T17:51:41.000Z

bats/util.py

uncommoncode/bats

f338966bb29d9c8d0921e0b76605095436a748e7

[ "BSD-2-Clause" ]

null

bats/util.py

uncommoncode/bats

f338966bb29d9c8d0921e0b76605095436a748e7

[ "BSD-2-Clause" ]

null

import numpy as np def generate_sine(frequency, duration, sample_rate): t = np.arange(duration * sample_rate) / sample_rate return np.sin(2.0 * np.pi * frequency * t)

25.285714

55

0.706215

28

177

4.321429

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0.247934

0.297521

0

0.013889

0.186441

177

6

56

29.5

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1

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false

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