xszheng2020/the_stack_dedup_python_hits_7 · Datasets at Hugging Face

87be78313a7c5f5bb12cfb834160ced23b13c364

5,961

py

Python

isiscb/isisdata/migrations/0087_auto_20200125_1935.py

bgopalachary/IsisCB

c28e3f504eea60ebeff38318d8bb2071abb28ebb

[ "MIT" ]

4

2016-01-25T20:35:33.000Z

2020-04-07T15:39:52.000Z

isiscb/isisdata/migrations/0087_auto_20200125_1935.py

bgopalachary/IsisCB

c28e3f504eea60ebeff38318d8bb2071abb28ebb

[ "MIT" ]

41

2015-08-19T17:34:41.000Z

2022-03-11T23:19:01.000Z

isiscb/isisdata/migrations/0087_auto_20200125_1935.py

bgopalachary/IsisCB

c28e3f504eea60ebeff38318d8bb2071abb28ebb

[ "MIT" ]

2

2020-11-25T20:18:18.000Z

2021-06-24T15:15:41.000Z

# -*- coding: utf-8 -*- # Generated by Django 1.11.23 on 2020-01-25 19:35 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('isisdata', '0086_auto_20200112_2037'), ] operations = [ migrations.AlterField( model_name='authority', name='classification_system', field=models.CharField(blank=True, choices=[(b'SPWT', b'Weldon Thesaurus Terms (2002-present)'), (b'SPWC', b'Weldon Classification System (2002-present)'), (b'GUE', b'Guerlac Committee Classification System (1953-2001)'), (b'NEU', b'Neu'), (b'MW', b'Whitrow Classification System (1913-1999)'), (b'SHOT', b'SHOT Thesaurus Terms'), (b'FHSA', b'Forum for the History of Science in America'), (b'SAC', b'Search App Concept'), (b'PN', b'Proper name')], db_index=True, default=b'SPWC', help_text=b'Specifies the classification system that is the source of the authority. Used to group resources by the Classification system. The system used currently is the Weldon System. All the other ones are for reference or archival purposes only.', max_length=4, null=True), ), migrations.AlterField( model_name='authority', name='tracking_state', field=models.CharField(blank=True, choices=[(b'HS', b'HSTM Upload'), (b'PT', b'Printed'), (b'AU', b'Authorized'), (b'PD', b'Proofed'), (b'FU', b'Fully Entered'), (b'BD', b'Bulk Data Update'), (b'NO', b'No')], db_index=True, max_length=2, null=True), ), migrations.AlterField( model_name='authority', name='type_controlled', field=models.CharField(blank=True, choices=[(b'PE', b'Person'), (b'IN', b'Institution'), (b'TI', b'Time Period'), (b'GE', b'Geographic Term'), (b'SE', b'Serial Publication'), (b'CT', b'Classification Term'), (b'CO', b'Concept'), (b'CW', b'Creative Work'), (b'EV', b'Event'), (b'CR', b'Cross-reference')], db_index=True, help_text=b'Specifies authority type. Each authority thema has its own list of controlled type vocabulary.', max_length=2, null=True, verbose_name=b'type'), ), migrations.AlterField( model_name='historicalauthority', name='classification_system', field=models.CharField(blank=True, choices=[(b'SPWT', b'Weldon Thesaurus Terms (2002-present)'), (b'SPWC', b'Weldon Classification System (2002-present)'), (b'GUE', b'Guerlac Committee Classification System (1953-2001)'), (b'NEU', b'Neu'), (b'MW', b'Whitrow Classification System (1913-1999)'), (b'SHOT', b'SHOT Thesaurus Terms'), (b'FHSA', b'Forum for the History of Science in America'), (b'SAC', b'Search App Concept'), (b'PN', b'Proper name')], db_index=True, default=b'SPWC', help_text=b'Specifies the classification system that is the source of the authority. Used to group resources by the Classification system. The system used currently is the Weldon System. All the other ones are for reference or archival purposes only.', max_length=4, null=True), ), migrations.AlterField( model_name='historicalauthority', name='tracking_state', field=models.CharField(blank=True, choices=[(b'HS', b'HSTM Upload'), (b'PT', b'Printed'), (b'AU', b'Authorized'), (b'PD', b'Proofed'), (b'FU', b'Fully Entered'), (b'BD', b'Bulk Data Update'), (b'NO', b'No')], db_index=True, max_length=2, null=True), ), migrations.AlterField( model_name='historicalauthority', name='type_controlled', field=models.CharField(blank=True, choices=[(b'PE', b'Person'), (b'IN', b'Institution'), (b'TI', b'Time Period'), (b'GE', b'Geographic Term'), (b'SE', b'Serial Publication'), (b'CT', b'Classification Term'), (b'CO', b'Concept'), (b'CW', b'Creative Work'), (b'EV', b'Event'), (b'CR', b'Cross-reference')], db_index=True, help_text=b'Specifies authority type. Each authority thema has its own list of controlled type vocabulary.', max_length=2, null=True, verbose_name=b'type'), ), migrations.AlterField( model_name='historicalperson', name='classification_system', field=models.CharField(blank=True, choices=[(b'SPWT', b'Weldon Thesaurus Terms (2002-present)'), (b'SPWC', b'Weldon Classification System (2002-present)'), (b'GUE', b'Guerlac Committee Classification System (1953-2001)'), (b'NEU', b'Neu'), (b'MW', b'Whitrow Classification System (1913-1999)'), (b'SHOT', b'SHOT Thesaurus Terms'), (b'FHSA', b'Forum for the History of Science in America'), (b'SAC', b'Search App Concept'), (b'PN', b'Proper name')], db_index=True, default=b'SPWC', help_text=b'Specifies the classification system that is the source of the authority. Used to group resources by the Classification system. The system used currently is the Weldon System. All the other ones are for reference or archival purposes only.', max_length=4, null=True), ), migrations.AlterField( model_name='historicalperson', name='tracking_state', field=models.CharField(blank=True, choices=[(b'HS', b'HSTM Upload'), (b'PT', b'Printed'), (b'AU', b'Authorized'), (b'PD', b'Proofed'), (b'FU', b'Fully Entered'), (b'BD', b'Bulk Data Update'), (b'NO', b'No')], db_index=True, max_length=2, null=True), ), migrations.AlterField( model_name='historicalperson', name='type_controlled', field=models.CharField(blank=True, choices=[(b'PE', b'Person'), (b'IN', b'Institution'), (b'TI', b'Time Period'), (b'GE', b'Geographic Term'), (b'SE', b'Serial Publication'), (b'CT', b'Classification Term'), (b'CO', b'Concept'), (b'CW', b'Creative Work'), (b'EV', b'Event'), (b'CR', b'Cross-reference')], db_index=True, help_text=b'Specifies authority type. Each authority thema has its own list of controlled type vocabulary.', max_length=2, null=True, verbose_name=b'type'), ), ]

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87f4412218cb770d498325ce33f07051ef73554b

9,290

py

Python

tests/resources/test_todo_items.py

andela-ojoloko/Todo-Api

eef0bbf89d5c40249316211dfc9d5b8385775ad7

[ "MIT" ]

null

tests/resources/test_todo_items.py

andela-ojoloko/Todo-Api

eef0bbf89d5c40249316211dfc9d5b8385775ad7

[ "MIT" ]

null

tests/resources/test_todo_items.py

andela-ojoloko/Todo-Api

eef0bbf89d5c40249316211dfc9d5b8385775ad7

[ "MIT" ]

null

import json import jwt from ..base import BaseTestCase from api.models import Todo, User, db, TodoItem from api.util import generate_token from datetime import datetime, timedelta class TodosTestCase(BaseTestCase): def setUp(self): db.drop_all() db.create_all() self.user_1 = User( first_name="existing_first_name", last_name="existing_last_name", password= "existing_password", email="test1@yahoo.com" ) self.user_2 = User( first_name="existing_first_name", last_name="existing_last_name", password= "existin_password", email="test2@yahoo.com" ) self.todo_1 = Todo( title="firt todo" ) self.todo_2 = Todo( title="second todo" ) self.user_1.todos.append(self.todo_1) self.user_2.todos.append(self.todo_2) self.user_1.save() self.user_2.save() self.token_1 = generate_token(self.user_1) self.token_2 = generate_token(self.user_2) self.headers_1 = { "Authorization": f"Bearer {self.token_1}"} self.headers_2 = { "Authorization": f"Bearer {self.token_2}"} def test_creating_todo_item_succesfully(self): """ tests succesfull creation of todo item """ todo_item = {"content": "cut the onions"} response = self.client.post(f'/api/todos/{self.todo_1.id}/todo_items', json=todo_item, headers=self.headers_1) json_data = response.get_json() self.assertStatus(response, 201) self.assertEqual(json_data["todo_item"]["content"], todo_item["content"]) self.assertEqual(json_data["message"], "todo item created") def test_creating_todo_item_for_non_existent_todo(self): """ tests creating todo item for non existent todo """ todo_item = {"content": "cut the onions"} response = self.client.post('/api/todos/190000099/todo_items', json=todo_item, headers=self.headers_1) json_data = response.get_json() self.assertStatus(response, 404) self.assertEqual(json_data["message"], "todo does not exist") def test_creating_todo_item_with_empty_content(self): """ tests creating todo item with empty content """ todo_item = {"content": ""} response = self.client.post(f'/api/todos/{self.todo_1.id}/todo_items', json=todo_item, headers=self.headers_1) json_data = response.get_json() self.assertStatus(response, 422) self.assertEqual(json_data["message"], "validation failed") self.assertEqual(json_data["errors"]["content"][0], "Data not provided.") def test_successfull_deletion_of_todo_item(self): """ tests deletion of single todo succesfully """ todo_item_1 = TodoItem(content="test content 1", todo_id=self.todo_1.id) todo_item_1.save() todo_item_2 = TodoItem(content="test content 2", todo_id=self.todo_2.id) todo_item_2.save() response = self.client.delete(f'/api/todos/{self.todo_1.id}/todo_items/{todo_item_1.id}', headers=self.headers_1) json_data = response.get_json() self.assertStatus(response, 200) self.assertEqual(json_data["message"], "todo item deleted") def test_deletion_of_todo_item_with_non_existent_todo_id_in_url(self): """ tests deletion of todo todo item with no existent todo_id in url """ todo_item_1 = TodoItem(content="test content 1", todo_id=self.todo_1.id) todo_item_1.save() todo_item_2 = TodoItem(content="test content 2", todo_id=self.todo_2.id) todo_item_2.save() response = self.client.delete(f'/api/todos/999999999/todo_items/{todo_item_1.id}', headers=self.headers_1) json_data = response.get_json() self.assertStatus(response, 404) self.assertEqual(json_data["message"], "todo does not exist") def test_deletion_of_todo_item_with_non_existent_todo_item_id_in_url(self): """ tests deletion of todo todo item with no existent todo_item_id in url """ todo_item_1 = TodoItem(content="test content 1", todo_id=self.todo_1.id) todo_item_1.save() todo_item_2 = TodoItem(content="test content 2", todo_id=self.todo_2.id) todo_item_2.save() response = self.client.delete(f'/api/todos/{self.todo_1.id}/todo_items/99999999', headers=self.headers_1) json_data = response.get_json() self.assertStatus(response, 404) self.assertEqual(json_data["message"], "todo item does not exist") def test_deletion_of_todo_item_not_created_by_user(self): """ tests deletion of todo item not created by user """ todo_item_1 = TodoItem(content="test content 1", todo_id=self.todo_1.id) todo_item_1.save() todo_item_2 = TodoItem(content="test content 2", todo_id=self.todo_2.id) todo_item_2.save() response = self.client.delete(f'/api/todos/{self.todo_2.id}/todo_items/{todo_item_2.id}', headers=self.headers_1) json_data = response.get_json() self.assertStatus(response, 401) self.assertEqual(json_data["message"], "unauthorized") def test_updating_of_todo_item_not_created_by_user(self): """ tests update of todo item not created by user """ todo_item_1 = TodoItem(content="test content 1", todo_id=self.todo_1.id) todo_item_1.save() todo_item_2 = TodoItem(content="test content 2", todo_id=self.todo_2.id) todo_item_2.save() todo_item_update = { "complete": True } response = self.client.put(f'/api/todos/{self.todo_2.id}/todo_items/{todo_item_2.id}', headers=self.headers_1, json=todo_item_update) json_data = response.get_json() self.assertStatus(response, 401) self.assertEqual(json_data["message"], "unauthorized") def test_update_of_todo_item_with_non_existent_todo_id_in_url(self): """ tests update of todo todo item with no existent todo_id in url """ todo_item_1 = TodoItem(content="test content 1", todo_id=self.todo_1.id) todo_item_1.save() todo_item_2 = TodoItem(content="test content 2", todo_id=self.todo_2.id) todo_item_2.save() todo_item_update = { "complete": True } response = self.client.put(f'/api/todos/999999999/todo_items/{todo_item_1.id}', headers=self.headers_1, json=todo_item_update) json_data = response.get_json() self.assertStatus(response, 404) self.assertEqual(json_data["message"], "todo does not exist") def test_update_of_todo_item_with_non_existent_todo_item_id_in_url(self): """ tests update of todo todo item with no existent todo_item_id in url """ todo_item_1 = TodoItem(content="test content 1", todo_id=self.todo_1.id) todo_item_1.save() todo_item_2 = TodoItem(content="test content 2", todo_id=self.todo_2.id) todo_item_2.save() todo_item_update = { "complete": True } response = self.client.put(f'/api/todos/{self.todo_1.id}/todo_items/99999999', headers=self.headers_1, json=todo_item_update) json_data = response.get_json() self.assertStatus(response, 404) self.assertEqual(json_data["message"], "todo item does not exist") def test_update_of_todo_item_successfully(self): """ tests update of todo todo item succesfully """ todo_item_1 = TodoItem(content="test content 1", todo_id=self.todo_1.id) todo_item_1.save() todo_item_2 = TodoItem(content="test content 2", todo_id=self.todo_2.id) todo_item_2.save() todo_item_update = { "complete": True } response = self.client.put(f'/api/todos/{self.todo_1.id}/todo_items/{todo_item_1.id}', headers=self.headers_1, json=todo_item_update) json_data = response.get_json() self.assertStatus(response, 200) self.assertEqual(json_data["message"], "todo_item updated") self.assertEqual(json_data["todo_item"]["complete"], todo_item_update["complete"]) def test_update_of_todo_item_with_invalid_data(self): """ tests update of todo todo item with invalid data """ todo_item_1 = TodoItem(content="test content 1", todo_id=self.todo_1.id) todo_item_1.save() todo_item_2 = TodoItem(content="test content 2", todo_id=self.todo_2.id) todo_item_2.save() todo_item_update = { "complete": "how" } response = self.client.put(f'/api/todos/{self.todo_1.id}/todo_items/{todo_item_1.id}', headers=self.headers_1, json=todo_item_update) json_data = response.get_json() self.assertStatus(response, 422) self.assertEqual(json_data["message"], "validation failed")

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null

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8

3584bacc695f53779eb775bb2ecaeccddf750137

134

py

Python

pwnedapi/exceptions/__init__.py

DirtySoc/pwnedapi

38b8f814788defa62f0a5a7c103093ab01b0baa7

[ "MIT" ]

11

2018-04-14T23:26:03.000Z

2021-06-13T08:29:01.000Z

pwnedapi/exceptions/__init__.py

DirtySoc/pwnedapi

38b8f814788defa62f0a5a7c103093ab01b0baa7

[ "MIT" ]

22

2018-05-06T07:50:12.000Z

2019-07-14T09:15:58.000Z

pwnedapi/exceptions/__init__.py

DirtySoc/pwnedapi

38b8f814788defa62f0a5a7c103093ab01b0baa7

[ "MIT" ]

15

2018-04-14T22:11:40.000Z

2021-12-22T16:58:50.000Z

from pwnedapi.exceptions.PasswordException import PasswordException from pwnedapi.exceptions.RequestException import RequestException

44.666667

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35cd950d5cb45f024d05d88335b6eab453090e8a

107

py

Python

model/__init__.py

stromguy/super-resolution

102b1211334d0e786c453744505beb389d2e83b1

[ "Apache-2.0" ]

1,230

2018-12-30T02:04:13.000Z

2022-03-31T11:13:35.000Z

model/__init__.py

stromguy/super-resolution

102b1211334d0e786c453744505beb389d2e83b1

[ "Apache-2.0" ]

91

2019-01-15T13:15:03.000Z

2022-02-18T11:10:54.000Z

model/__init__.py

stromguy/super-resolution

102b1211334d0e786c453744505beb389d2e83b1

[ "Apache-2.0" ]

347

2019-01-12T16:13:05.000Z

2022-03-29T15:33:30.000Z

from model.common import resolve from model.common import resolve_single from model.common import evaluate

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7

ea78215c86af16a01464b28d85b053bc387f1883

256

py

Python

bitmovin_api_sdk/encoding/manifests/dash/periods/adaptationsets/video/__init__.py

jaythecaesarean/bitmovin-api-sdk-python

48166511fcb9082041c552ace55a9b66cc59b794

[ "MIT" ]

11

2019-07-03T10:41:16.000Z

2022-02-25T21:48:06.000Z

bitmovin_api_sdk/encoding/manifests/dash/periods/adaptationsets/video/__init__.py

jaythecaesarean/bitmovin-api-sdk-python

48166511fcb9082041c552ace55a9b66cc59b794

[ "MIT" ]

8

2019-11-23T00:01:25.000Z

2021-04-29T12:30:31.000Z

bitmovin_api_sdk/encoding/manifests/dash/periods/adaptationsets/video/__init__.py

jaythecaesarean/bitmovin-api-sdk-python

48166511fcb9082041c552ace55a9b66cc59b794

[ "MIT" ]

13

2020-01-02T14:58:18.000Z

2022-03-26T12:10:30.000Z

from bitmovin_api_sdk.encoding.manifests.dash.periods.adaptationsets.video.video_api import VideoApi from bitmovin_api_sdk.encoding.manifests.dash.periods.adaptationsets.video.video_adaptation_set_list_query_params import VideoAdaptationSetListQueryParams

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7

576b422978fe2e33298574ee1a29bf8efe029f04

11,521

py

Python

easy_rec/python/test/csv_input_test.py

xia-huang-411303/EasyRec

7b2050dddc0bfec9e551e2199a36414a3ee82588

[ "Apache-2.0" ]

285

2021-10-11T03:39:43.000Z

2022-03-31T09:12:33.000Z

easy_rec/python/test/csv_input_test.py

xia-huang-411303/EasyRec

7b2050dddc0bfec9e551e2199a36414a3ee82588

[ "Apache-2.0" ]

84

2021-10-15T03:48:58.000Z

2022-03-31T12:38:53.000Z

easy_rec/python/test/csv_input_test.py

xia-huang-411303/EasyRec

7b2050dddc0bfec9e551e2199a36414a3ee82588

[ "Apache-2.0" ]

71

2021-10-15T03:33:44.000Z

2022-03-31T08:37:11.000Z

# -*- encoding:utf-8 -*- # Copyright (c) Alibaba, Inc. and its affiliates. """Define cv_input, the base class for cv tasks.""" import tensorflow as tf from google.protobuf import text_format from easy_rec.python.input.csv_input import CSVInput from easy_rec.python.input.csv_input_ex import CSVInputEx from easy_rec.python.protos.dataset_pb2 import DatasetConfig from easy_rec.python.protos.feature_config_pb2 import FeatureConfig from easy_rec.python.utils import config_util from easy_rec.python.utils.test_utils import RunAsSubprocess if tf.__version__ >= '2.0': from tensorflow.python.framework.ops import disable_eager_execution disable_eager_execution() tf = tf.compat.v1 class CSVInputTest(tf.test.TestCase): def __init__(self, methodName='CSVInputTest'): super(CSVInputTest, self).__init__(methodName=methodName) self._input_path = 'data/test/test.csv' self._input_path_with_quote = 'data/test/test_with_quote.csv' @RunAsSubprocess def test_csv_data(self): data_config_str = """ input_fields { input_name: 'label' input_type: FLOAT } input_fields { input_name: 'field[1-3]' input_type: STRING } label_fields: 'label' batch_size: 1024 num_epochs: 10000 prefetch_size: 32 auto_expand_input_fields: true """ feature_config_str = """ input_names: 'field1' shared_names: 'field[2-3]' feature_type: IdFeature embedding_dim: 32 hash_bucket_size: 2000 """ dataset_config = DatasetConfig() text_format.Merge(data_config_str, dataset_config) feature_config = FeatureConfig() text_format.Merge(feature_config_str, feature_config) feature_configs = [feature_config] empty_config = FeatureConfig() empty_config.CopyFrom(feature_config) while len(empty_config.input_names) > 0: empty_config.input_names.pop() while len(empty_config.shared_names) > 0: empty_config.shared_names.pop() for input_name in feature_config.shared_names: input_names = config_util.auto_expand_names(input_name) for tmp_name in input_names: tmp_config = FeatureConfig() tmp_config.CopyFrom(empty_config) tmp_config.input_names.append(tmp_name) feature_configs.append(tmp_config) train_input_fn = CSVInput(dataset_config, feature_configs, self._input_path).create_input() dataset = train_input_fn(mode=tf.estimator.ModeKeys.TRAIN) iterator = dataset.make_initializable_iterator() tf.add_to_collection(tf.GraphKeys.TABLE_INITIALIZERS, iterator.initializer) features, labels = iterator.get_next() init_op = tf.get_collection(tf.GraphKeys.TABLE_INITIALIZERS) gpu_options = tf.GPUOptions(allow_growth=True) session_config = tf.ConfigProto( gpu_options=gpu_options, allow_soft_placement=True, log_device_placement=False) with self.test_session(config=session_config) as sess: sess.run(init_op) feature_dict, label_dict = sess.run([features, labels]) @RunAsSubprocess def test_csv_data_flt_to_str_exception(self): data_config_str = """ input_fields { input_name: 'label' input_type: FLOAT } input_fields { input_name: 'field1' input_type: STRING } input_fields { input_name: 'field[2-3]' input_type: FLOAT } label_fields: 'label' batch_size: 1024 num_epochs: 10000 prefetch_size: 32 auto_expand_input_fields: true """ feature_config_str = """ input_names: 'field1' shared_names: 'field[2-3]' feature_type: IdFeature embedding_dim: 32 hash_bucket_size: 2000 """ dataset_config = DatasetConfig() text_format.Merge(data_config_str, dataset_config) feature_config = FeatureConfig() text_format.Merge(feature_config_str, feature_config) feature_configs = [feature_config] empty_config = FeatureConfig() empty_config.CopyFrom(feature_config) while len(empty_config.input_names) > 0: empty_config.input_names.pop() while len(empty_config.shared_names) > 0: empty_config.shared_names.pop() for input_name in feature_config.shared_names: input_names = config_util.auto_expand_names(input_name) for tmp_name in input_names: tmp_config = FeatureConfig() tmp_config.CopyFrom(empty_config) tmp_config.input_names.append(tmp_name) feature_configs.append(tmp_config) train_input_fn = CSVInput(dataset_config, feature_configs, self._input_path).create_input() try: dataset = train_input_fn(mode=tf.estimator.ModeKeys.TRAIN) # noqa: F841 passed = True except Exception: passed = False assert not passed, 'if precision is not set, exception should be reported in convert float to string' @RunAsSubprocess def test_csv_data_flt_to_str(self): data_config_str = """ input_fields { input_name: 'label' input_type: FLOAT } input_fields { input_name: 'field1' input_type: STRING } input_fields { input_name: 'field[2-3]' input_type: FLOAT } label_fields: 'label' batch_size: 1024 num_epochs: 10000 prefetch_size: 32 auto_expand_input_fields: true """ feature_config_str = """ input_names: 'field1' shared_names: 'field[2-3]' feature_type: IdFeature embedding_dim: 32 hash_bucket_size: 2000 precision: 3 """ dataset_config = DatasetConfig() text_format.Merge(data_config_str, dataset_config) feature_config = FeatureConfig() text_format.Merge(feature_config_str, feature_config) feature_configs = [feature_config] empty_config = FeatureConfig() empty_config.CopyFrom(feature_config) while len(empty_config.input_names) > 0: empty_config.input_names.pop() while len(empty_config.shared_names) > 0: empty_config.shared_names.pop() for input_name in feature_config.shared_names: input_names = config_util.auto_expand_names(input_name) for tmp_name in input_names: tmp_config = FeatureConfig() tmp_config.CopyFrom(empty_config) tmp_config.input_names.append(tmp_name) feature_configs.append(tmp_config) train_input_fn = CSVInput(dataset_config, feature_configs, self._input_path).create_input() dataset = train_input_fn(mode=tf.estimator.ModeKeys.TRAIN) iterator = dataset.make_initializable_iterator() tf.add_to_collection(tf.GraphKeys.TABLE_INITIALIZERS, iterator.initializer) features, labels = iterator.get_next() init_op = tf.get_collection(tf.GraphKeys.TABLE_INITIALIZERS) gpu_options = tf.GPUOptions(allow_growth=True) session_config = tf.ConfigProto( gpu_options=gpu_options, allow_soft_placement=True, log_device_placement=False) with self.test_session(config=session_config) as sess: sess.run(init_op) feature_dict, label_dict = sess.run([features, labels]) @RunAsSubprocess def test_csv_input_ex(self): data_config_str = """ input_fields { input_name: 'label' input_type: FLOAT } input_fields { input_name: 'field[1-3]' input_type: STRING } label_fields: 'label' batch_size: 1024 num_epochs: 10000 prefetch_size: 32 auto_expand_input_fields: true """ feature_config_str = """ input_names: 'field1' shared_names: 'field[2-3]' feature_type: IdFeature embedding_dim: 32 hash_bucket_size: 2000 """ dataset_config = DatasetConfig() text_format.Merge(data_config_str, dataset_config) feature_config = FeatureConfig() text_format.Merge(feature_config_str, feature_config) feature_configs = [feature_config] empty_config = FeatureConfig() empty_config.CopyFrom(feature_config) while len(empty_config.input_names) > 0: empty_config.input_names.pop() while len(empty_config.shared_names) > 0: empty_config.shared_names.pop() for input_name in feature_config.shared_names: input_names = config_util.auto_expand_names(input_name) for tmp_name in input_names: tmp_config = FeatureConfig() tmp_config.CopyFrom(empty_config) tmp_config.input_names.append(tmp_name) feature_configs.append(tmp_config) train_input_fn = CSVInputEx(dataset_config, feature_configs, self._input_path_with_quote).create_input() dataset = train_input_fn(mode=tf.estimator.ModeKeys.TRAIN) iterator = dataset.make_initializable_iterator() tf.add_to_collection(tf.GraphKeys.TABLE_INITIALIZERS, iterator.initializer) features, labels = iterator.get_next() init_op = tf.get_collection(tf.GraphKeys.TABLE_INITIALIZERS) gpu_options = tf.GPUOptions(allow_growth=True) session_config = tf.ConfigProto( gpu_options=gpu_options, allow_soft_placement=True, log_device_placement=False) with self.test_session(config=session_config) as sess: sess.run(init_op) feature_dict, label_dict = sess.run([features, labels]) @RunAsSubprocess def test_csv_data_ignore_error(self): data_config_str = """ input_fields { input_name: 'label' input_type: FLOAT } input_fields { input_name: 'field[1-3]' input_type: STRING } label_fields: 'label' batch_size: 32 num_epochs: 10000 prefetch_size: 32 auto_expand_input_fields: true ignore_error: true """ feature_config_str = """ input_names: 'field1' shared_names: 'field[2-3]' feature_type: IdFeature embedding_dim: 32 hash_bucket_size: 2000 """ dataset_config = DatasetConfig() text_format.Merge(data_config_str, dataset_config) feature_config = FeatureConfig() text_format.Merge(feature_config_str, feature_config) feature_configs = [feature_config] empty_config = FeatureConfig() empty_config.CopyFrom(feature_config) while len(empty_config.input_names) > 0: empty_config.input_names.pop() while len(empty_config.shared_names) > 0: empty_config.shared_names.pop() for input_name in feature_config.shared_names: input_names = config_util.auto_expand_names(input_name) for tmp_name in input_names: tmp_config = FeatureConfig() tmp_config.CopyFrom(empty_config) tmp_config.input_names.append(tmp_name) feature_configs.append(tmp_config) train_input_fn = CSVInput(dataset_config, feature_configs, self._input_path_with_quote).create_input() dataset = train_input_fn(mode=tf.estimator.ModeKeys.TRAIN) iterator = dataset.make_initializable_iterator() tf.add_to_collection(tf.GraphKeys.TABLE_INITIALIZERS, iterator.initializer) features, labels = iterator.get_next() init_op = tf.get_collection(tf.GraphKeys.TABLE_INITIALIZERS) gpu_options = tf.GPUOptions(allow_growth=True) session_config = tf.ConfigProto( gpu_options=gpu_options, allow_soft_placement=True, log_device_placement=False) with self.test_session(config=session_config) as sess: sess.run(init_op) feature_dict, label_dict = sess.run([features, labels]) if __name__ == '__main__': tf.test.main()

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Python

halotools/mock_observables/two_point_clustering/tests/test_tpcf.py

pllim/halotools

6499cff09e7e0f169e4f425ee265403f6be816e8

[ "BSD-3-Clause" ]

83

2015-01-15T14:54:16.000Z

2021-12-09T11:28:02.000Z

halotools/mock_observables/two_point_clustering/tests/test_tpcf.py

pllim/halotools

6499cff09e7e0f169e4f425ee265403f6be816e8

[ "BSD-3-Clause" ]

579

2015-01-14T15:57:37.000Z

2022-01-13T18:58:44.000Z

halotools/mock_observables/two_point_clustering/tests/test_tpcf.py

pllim/halotools

6499cff09e7e0f169e4f425ee265403f6be816e8

[ "BSD-3-Clause" ]

70

2015-01-14T15:15:58.000Z

2021-12-22T18:18:31.000Z

""" Module providing unit-testing for the `~halotools.mock_observables.tpcf` function. """ from __future__ import absolute_import, division, print_function, unicode_literals import numpy as np import warnings import pytest from astropy.utils.misc import NumpyRNGContext from .locate_external_unit_testing_data import tpcf_corrfunc_comparison_files_exist from ..tpcf import tpcf from ....custom_exceptions import HalotoolsError slow = pytest.mark.slow __all__ = ('test_tpcf_auto', 'test_tpcf_cross', 'test_tpcf_estimators', 'test_tpcf_sample_size_limit', 'test_tpcf_randoms', 'test_tpcf_period_API', 'test_tpcf_cross_consistency_w_auto') fixed_seed = 43 TPCF_CORRFUNC_FILES_EXIST = tpcf_corrfunc_comparison_files_exist() @slow def test_tpcf_auto(): """ test the tpcf auto-correlation functionality """ with NumpyRNGContext(fixed_seed): sample1 = np.random.random((100, 3)) randoms = np.random.random((100, 3)) period = np.array([1.0, 1.0, 1.0]) rbins = np.linspace(0.001, 0.3, 5) rmax = rbins.max() # with randoms result = tpcf(sample1, rbins, sample2=None, randoms=randoms, period=None, estimator='Natural', approx_cell1_size=[rmax, rmax, rmax], approx_cellran_size=[rmax, rmax, rmax]) assert result.ndim == 1, "More than one correlation function returned erroneously." # with out randoms result = tpcf(sample1, rbins, sample2=None, randoms=None, period=period, estimator='Natural', approx_cell1_size=[rmax, rmax, rmax], num_threads=1) assert result.ndim == 1, "More than one correlation function returned erroneously." @slow def test_tpcf_cross(): """ test the tpcf cross-correlation functionality """ with NumpyRNGContext(fixed_seed): sample1 = np.random.random((100, 3)) sample2 = np.random.random((100, 3)) randoms = np.random.random((100, 3)) period = np.array([1.0, 1.0, 1.0]) rbins = np.linspace(0.001, 0.3, 5) rmax = rbins.max() # with randoms result = tpcf(sample1, rbins, sample2=sample2, randoms=randoms, period=None, estimator='Natural', do_auto=False, approx_cell1_size=[rmax, rmax, rmax]) assert result.ndim == 1, "More than one correlation function returned erroneously." # with out randoms result = tpcf(sample1, rbins, sample2=sample2, randoms=None, period=period, estimator='Natural', do_auto=False, approx_cell1_size=[rmax, rmax, rmax]) assert result.ndim == 1, "More than one correlation function returned erroneously." @slow def test_tpcf_estimators(): """ test the tpcf different estimators functionality """ with NumpyRNGContext(fixed_seed): sample1 = np.random.random((100, 3)) sample2 = np.random.random((100, 3)) randoms = np.random.random((100, 3)) rbins = np.linspace(0.001, 0.3, 5) rmax = rbins.max() result_1 = tpcf(sample1, rbins, sample2=sample2, randoms=randoms, period=None, estimator='Natural', approx_cell1_size=[rmax, rmax, rmax], approx_cellran_size=[rmax, rmax, rmax]) result_2 = tpcf(sample1, rbins, sample2=sample2, randoms=randoms, period=None, estimator='Davis-Peebles', approx_cell1_size=[rmax, rmax, rmax], approx_cellran_size=[rmax, rmax, rmax]) result_3 = tpcf(sample1, rbins, sample2=sample2, randoms=randoms, period=None, estimator='Hewett', approx_cell1_size=[rmax, rmax, rmax], approx_cellran_size=[rmax, rmax, rmax]) result_4 = tpcf(sample1, rbins, sample2=sample2, randoms=randoms, period=None, estimator='Hamilton', approx_cell1_size=[rmax, rmax, rmax], approx_cellran_size=[rmax, rmax, rmax]) result_5 = tpcf(sample1, rbins, sample2=sample2, randoms=randoms, period=None, estimator='Landy-Szalay', approx_cell1_size=[rmax, rmax, rmax], approx_cellran_size=[rmax, rmax, rmax]) assert len(result_1) == 3, "wrong number of correlation functions returned erroneously." assert len(result_2) == 3, "wrong number of correlation functions returned erroneously." assert len(result_3) == 3, "wrong number of correlation functions returned erroneously." assert len(result_4) == 3, "wrong number of correlation functions returned erroneously." assert len(result_5) == 3, "wrong number of correlation functions returned erroneously." @slow def test_tpcf_randoms(): """ test the tpcf possible randoms + PBCs combinations """ with NumpyRNGContext(fixed_seed): sample1 = np.random.random((100, 3)) sample2 = np.random.random((100, 3)) randoms = np.random.random((100, 3)) period = np.array([1.0, 1.0, 1.0]) rbins = np.linspace(0.001, 0.3, 5) rmax = rbins.max() # No PBCs w/ randoms result_1 = tpcf(sample1, rbins, sample2=sample2, randoms=randoms, period=None, estimator='Natural', approx_cell1_size=[rmax, rmax, rmax], approx_cellran_size=[rmax, rmax, rmax]) # PBCs w/o randoms result_2 = tpcf(sample1, rbins, sample2=sample2, randoms=None, period=period, estimator='Natural', approx_cell1_size=[rmax, rmax, rmax], approx_cellran_size=[rmax, rmax, rmax]) # PBCs w/ randoms result_3 = tpcf(sample1, rbins, sample2=sample2, randoms=randoms, period=period, estimator='Natural', approx_cell1_size=[rmax, rmax, rmax], approx_cellran_size=[rmax, rmax, rmax]) # No PBCs and no randoms should throw an error. with pytest.raises(ValueError) as err: tpcf(sample1, rbins, sample2=sample2, randoms=None, period=None, estimator='Natural', approx_cell1_size=[rmax, rmax, rmax], approx_cellran_size=[rmax, rmax, rmax]) substr = "If no PBCs are specified, randoms must be provided." assert substr in err.value.args[0] assert len(result_1) == 3, "wrong number of correlation functions returned erroneously." assert len(result_2) == 3, "wrong number of correlation functions returned erroneously." assert len(result_3) == 3, "wrong number of correlation functions returned erroneously." @slow def test_tpcf_period_API(): """ test the tpcf period API functionality. """ with NumpyRNGContext(fixed_seed): sample1 = np.random.random((1000, 3)) sample2 = np.random.random((100, 3)) randoms = np.random.random((100, 3)) period = np.array([1.0, 1.0, 1.0]) rbins = np.linspace(0.001, 0.3, 5) rmax = rbins.max() result_1 = tpcf(sample1, rbins, sample2=sample2, randoms=randoms, period=period, estimator='Natural', approx_cell1_size=[rmax, rmax, rmax]) period = 1.0 result_2 = tpcf(sample1, rbins, sample2=sample2, randoms=randoms, period=period, estimator='Natural', approx_cell1_size=[rmax, rmax, rmax]) # should throw an error. period must be positive! period = np.array([1.0, 1.0, -1.0]) with pytest.raises(ValueError) as err: tpcf(sample1, rbins, sample2=sample2, randoms=randoms, period=period, estimator='Natural', approx_cell1_size=[rmax, rmax, rmax]) substr = "All values must bounded positive numbers." assert substr in err.value.args[0] assert len(result_1) == 3, "wrong number of correlation functions returned erroneously." assert len(result_2) == 3, "wrong number of correlation functions returned erroneously." @slow def test_tpcf_cross_consistency_w_auto(): """ test the tpcf cross-correlation mode consistency with auto-correlation mode """ with NumpyRNGContext(fixed_seed): sample1 = np.random.random((200, 3)) sample2 = np.random.random((100, 3)) randoms = np.random.random((300, 3)) period = np.array([1.0, 1.0, 1.0]) rbins = np.linspace(0.001, 0.3, 5) rmax = rbins.max() # with out randoms result1 = tpcf(sample1, rbins, sample2=None, randoms=None, period=period, estimator='Natural', approx_cell1_size=[rmax, rmax, rmax]) result2 = tpcf(sample2, rbins, sample2=None, randoms=None, period=period, estimator='Natural', approx_cell1_size=[rmax, rmax, rmax]) result1_p, result12, result2_p = tpcf(sample1, rbins, sample2=sample2, randoms=None, period=period, estimator='Natural', approx_cell1_size=[rmax, rmax, rmax]) assert np.allclose(result1, result1_p), "cross mode and auto mode are not the same" assert np.allclose(result2, result2_p), "cross mode and auto mode are not the same" # with randoms result1 = tpcf(sample1, rbins, sample2=None, randoms=randoms, period=period, estimator='Natural', approx_cell1_size=[rmax, rmax, rmax]) result2 = tpcf(sample2, rbins, sample2=None, randoms=randoms, period=period, estimator='Natural', approx_cell1_size=[rmax, rmax, rmax]) result1_p, result12, result2_p = tpcf(sample1, rbins, sample2=sample2, randoms=randoms, period=period, estimator='Natural', approx_cell1_size=[rmax, rmax, rmax]) assert np.allclose(result1, result1_p), "cross mode and auto mode are not the same" assert np.allclose(result2, result2_p), "cross mode and auto mode are not the same" def test_RR_precomputed_exception_handling1(): with NumpyRNGContext(fixed_seed): sample1 = np.random.random((1000, 3)) sample2 = np.random.random((100, 3)) randoms = np.random.random((100, 3)) period = np.array([1.0, 1.0, 1.0]) rbins = np.linspace(0.001, 0.3, 5) rmax = rbins.max() RR_precomputed = rmax with pytest.raises(HalotoolsError) as err: _ = tpcf(sample1, rbins, sample2=sample2, randoms=randoms, period=period, estimator='Natural', approx_cell1_size=[rmax, rmax, rmax], RR_precomputed=RR_precomputed) substr = "``RR_precomputed`` and ``NR_precomputed`` arguments, or neither\n" assert substr in err.value.args[0] def test_RR_precomputed_exception_handling2(): with NumpyRNGContext(fixed_seed): sample1 = np.random.random((1000, 3)) sample2 = np.random.random((100, 3)) randoms = np.random.random((100, 3)) period = np.array([1.0, 1.0, 1.0]) rbins = np.linspace(0.001, 0.3, 5) rmax = rbins.max() RR_precomputed = rbins[:-2] NR_precomputed = randoms.shape[0] with pytest.raises(HalotoolsError) as err: _ = tpcf(sample1, rbins, sample2=sample2, randoms=randoms, period=period, estimator='Natural', approx_cell1_size=[rmax, rmax, rmax], RR_precomputed=RR_precomputed, NR_precomputed=NR_precomputed) substr = "\nLength of ``RR_precomputed`` must match length of ``rbins``\n" assert substr in err.value.args[0] def test_RR_precomputed_exception_handling3(): with NumpyRNGContext(fixed_seed): sample1 = np.random.random((1000, 3)) sample2 = np.random.random((100, 3)) randoms = np.random.random((100, 3)) period = np.array([1.0, 1.0, 1.0]) rbins = np.linspace(0.001, 0.3, 5) rmax = rbins.max() RR_precomputed = rbins[:-1] NR_precomputed = 5 with pytest.raises(HalotoolsError) as err: _ = tpcf(sample1, rbins, sample2=sample2, randoms=randoms, period=period, estimator='Natural', approx_cell1_size=[rmax, rmax, rmax], RR_precomputed=RR_precomputed, NR_precomputed=NR_precomputed) substr = "the value of NR_precomputed must agree with the number of randoms" assert substr in err.value.args[0] @slow def test_RR_precomputed_natural_estimator_auto(): """ Strategy here is as follows. First, we adopt the same setup with randomly generated points as used in the rest of the test suite. First, we just compute the tpcf in the normal way. Then we break apart the tpcf innards so that we can compute RR in the exact same way that it is computed within tpcf. We will then pass in this RR using the RR_precomputed keyword, and verify that the tpcf computed in this second way gives exactly the same results as if we did not pre-compute RR. """ with NumpyRNGContext(fixed_seed): sample1 = np.random.random((1000, 3)) sample2 = sample1 randoms = np.random.random((100, 3)) period = np.array([1.0, 1.0, 1.0]) rbins = np.linspace(0.001, 0.3, 5) rmax = rbins.max() approx_cell1_size = [rmax, rmax, rmax] approx_cell2_size = approx_cell1_size approx_cellran_size = [rmax, rmax, rmax] normal_result = tpcf( sample1, rbins, sample2=sample2, randoms=randoms, period=period, estimator='Natural', approx_cell1_size=approx_cell1_size, approx_cellran_size=approx_cellran_size) # The following quantities are computed inside the # tpcf namespace. We reproduce them here because they are # necessary inputs to the _random_counts and _pair_counts # functions called by tpcf _sample1_is_sample2 = True PBCs = True num_threads = 1 do_DD, do_DR, do_RR = True, True, True do_auto, do_cross = True, False from ..tpcf import _random_counts, _pair_counts # count data pairs D1D1, D1D2, D2D2 = _pair_counts( sample1, sample2, rbins, period, num_threads, do_auto, do_cross, _sample1_is_sample2, approx_cell1_size, approx_cell2_size) # count random pairs D1R, D2R, RR = _random_counts( sample1, sample2, randoms, rbins, period, PBCs, num_threads, do_RR, do_DR, _sample1_is_sample2, approx_cell1_size, approx_cell2_size, approx_cellran_size) N1 = len(sample1) NR = len(randoms) factor = N1*N1/(NR*NR) def mult(x, y): return x*y xi_11 = mult(1.0/factor, D1D1/RR) - 1.0 # The following assertion implies that the RR # computed within this testing namespace is the same RR # as computed in the tpcf namespace assert np.all(xi_11 == normal_result) # Now we will pass in the above RR as an argument # and verify that we get an identical tpcf result_with_RR_precomputed = tpcf( sample1, rbins, sample2=sample2, randoms=randoms, period=period, estimator='Natural', approx_cell1_size=approx_cell1_size, approx_cellran_size=approx_cellran_size, RR_precomputed=RR, NR_precomputed=NR) assert np.all(result_with_RR_precomputed == normal_result) @slow def test_RR_precomputed_Landy_Szalay_estimator_auto(): """ Strategy here is as follows. First, we adopt the same setup with randomly generated points as used in the rest of the test suite. First, we just compute the tpcf in the normal way. Then we break apart the tpcf innards so that we can compute RR in the exact same way that it is computed within tpcf. We will then pass in this RR using the RR_precomputed keyword, and verify that the tpcf computed in this second way gives exactly the same results as if we did not pre-compute RR. """ with NumpyRNGContext(fixed_seed): sample1 = np.random.random((1000, 3)) sample2 = sample1 randoms = np.random.random((100, 3)) period = np.array([1.0, 1.0, 1.0]) rbins = np.linspace(0.001, 0.3, 5) rmax = rbins.max() approx_cell1_size = [rmax, rmax, rmax] approx_cell2_size = approx_cell1_size approx_cellran_size = [rmax, rmax, rmax] normal_result = tpcf( sample1, rbins, sample2=sample2, randoms=randoms, period=period, estimator='Landy-Szalay', approx_cell1_size=approx_cell1_size, approx_cellran_size=approx_cellran_size) # The following quantities are computed inside the # tpcf namespace. We reproduce them here because they are # necessary inputs to the _random_counts and _pair_counts # functions called by tpcf _sample1_is_sample2 = True PBCs = True num_threads = 1 do_DD, do_DR, do_RR = True, True, True do_auto, do_cross = True, False from ..tpcf import _random_counts, _pair_counts # count data pairs D1D1, D1D2, D2D2 = _pair_counts( sample1, sample2, rbins, period, num_threads, do_auto, do_cross, _sample1_is_sample2, approx_cell1_size, approx_cell2_size) # count random pairs D1R, D2R, RR = _random_counts( sample1, sample2, randoms, rbins, period, PBCs, num_threads, do_RR, do_DR, _sample1_is_sample2, approx_cell1_size, approx_cell2_size, approx_cellran_size) ND1 = len(sample1) ND2 = len(sample2) NR1 = len(randoms) NR2 = len(randoms) factor1 = ND1*ND2/(NR1*NR2) factor2 = ND1*NR2/(NR1*NR2) def mult(x, y): return x*y xi_11 = mult(1.0/factor1, D1D1/RR) - mult(1.0/factor2, 2.0*D1R/RR) + 1.0 # # The following assertion implies that the RR # # computed within this testing namespace is the same RR # # as computed in the tpcf namespace assert np.all(xi_11 == normal_result) # Now we will pass in the above RR as an argument # and verify that we get an identical tpcf result_with_RR_precomputed = tpcf( sample1, rbins, sample2=sample2, randoms=randoms, period=period, estimator='Landy-Szalay', approx_cell1_size=approx_cell1_size, approx_cellran_size=approx_cellran_size, RR_precomputed=RR, NR_precomputed=NR1) assert np.all(result_with_RR_precomputed == normal_result) def test_tpcf_raises_exception_for_non_monotonic_rbins(): with NumpyRNGContext(fixed_seed): sample1 = np.random.random((1000, 3)) period = np.array([1.0, 1.0, 1.0]) rbins = np.linspace(10, 0.3, 5) with pytest.raises(TypeError) as err: normal_result = tpcf(sample1, rbins, period=period) substr = "Input separation bins must be a monotonically increasing" assert substr in err.value.args[0] def test_tpcf_raises_exception_for_large_search_length(): with NumpyRNGContext(fixed_seed): sample1 = np.random.random((1000, 3)) period = np.array([1.0, 1.0, 1.0]) rbins = np.linspace(0.1, 0.5, 5) with pytest.raises(ValueError) as err: normal_result = tpcf(sample1, rbins, period=period) substr = "Either decrease your search length or use a larger simulation" assert substr in err.value.args[0] def test_tpcf_raises_exception_for_incompatible_data_shapes(): with NumpyRNGContext(fixed_seed): sample1 = np.random.random((1000, 3)) sample2 = np.random.random((1000, 2)) period = np.array([1.0, 1.0, 1.0]) rbins = np.linspace(0.1, 0.3, 5) with pytest.raises(TypeError) as err: normal_result = tpcf(sample1, rbins, sample2=sample2, period=period) substr = "Input sample of points must be a Numpy ndarray of shape (Npts, 3)." assert substr in err.value.args[0] def test_tpcf_raises_exception_for_bad_do_auto_instructions(): with NumpyRNGContext(fixed_seed): sample1 = np.random.random((1000, 3)) sample2 = np.random.random((1000, 3)) period = np.array([1.0, 1.0, 1.0]) rbins = np.linspace(0.1, 0.3, 5) with pytest.raises(ValueError) as err: normal_result = tpcf(sample1, rbins, sample2=sample2, period=period, do_auto='Jose Canseco') substr = "`do_auto` and `do_cross` keywords must be boolean-valued." assert substr in err.value.args[0] def test_tpcf_raises_exception_for_unavailable_estimator(): with NumpyRNGContext(fixed_seed): sample1 = np.random.random((1000, 3)) sample2 = np.random.random((1000, 3)) period = np.array([1.0, 1.0, 1.0]) rbins = np.linspace(0.1, 0.3, 5) with pytest.raises(ValueError) as err: normal_result = tpcf(sample1, rbins, period=period, estimator='Jose Canseco') substr = "is not in the list of available estimators:" assert substr in err.value.args[0] @pytest.mark.skipif('not TPCF_CORRFUNC_FILES_EXIST') def test_tpcf_vs_corrfunc(): """ """ msg = ("This unit-test compares the tpcf results from halotools \n" "against the results derived from the Corrfunc code managed by \n" "Manodeep Sinha. ") __, aph_fname1, aph_fname2, aph_fname3, deep_fname1, deep_fname2 = ( tpcf_corrfunc_comparison_files_exist(return_fnames=True)) sinha_sample1_xi = np.load(deep_fname1)[:, 0] sinha_sample2_xi = np.load(deep_fname2)[:, 0] sample1 = np.load(aph_fname1) sample2 = np.load(aph_fname2) rbins = np.load(aph_fname3) halotools_result1 = tpcf(sample1, rbins, period=250.0) assert np.allclose(halotools_result1, sinha_sample1_xi, rtol=1e-5), msg halotools_result2 = tpcf(sample2, rbins, period=250.0) assert np.allclose(halotools_result2, sinha_sample2_xi, rtol=1e-5), msg

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catflap/proxies/__init__.py

yay4ya/catflap

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[ "MIT" ]

null

catflap/proxies/__init__.py

yay4ya/catflap

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null

catflap/proxies/__init__.py

yay4ya/catflap

1cb146417948c4c60c4765287c6f62664058290b

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from catflap.proxies.proxy import Proxy from catflap.proxies.slack import SlackProxy from catflap.proxies.stdout import StdoutProxy

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exercises/data_structures/__init__.py

maxwellmattryan/cs-313e

462a871475ba956e364a0faf98284633462984b8

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2020-02-05T23:56:16.000Z

exercises/data_structures/__init__.py

maxwellmattryan/cs-313e

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[ "MIT" ]

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exercises/data_structures/__init__.py

maxwellmattryan/cs-313e

462a871475ba956e364a0faf98284633462984b8

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2020-03-09T16:26:00.000Z

2021-07-23T03:17:11.000Z

import data_structures.binary_search_tree import data_structures.linked_list import data_structures.stack

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plugins/haveibeenpwned/icon_haveibeenpwned/actions/__init__.py

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plugins/haveibeenpwned/icon_haveibeenpwned/actions/__init__.py

lukaszlaszuk/insightconnect-plugins

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plugins/haveibeenpwned/icon_haveibeenpwned/actions/__init__.py

lukaszlaszuk/insightconnect-plugins

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2019-07-09T14:13:58.000Z

2022-03-28T12:04:46.000Z

# GENERATED BY KOMAND SDK - DO NOT EDIT from .lookup_domain.action import LookupDomain from .lookup_password.action import LookupPassword from .lookup_user.action import LookupUser

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scripts/main_msd_vae.py

RACT-CF/RaCT

ced06c9e3398184c82aa42d5eb0cd5679c905375

[ "Apache-2.0" ]

36

2019-06-12T16:35:24.000Z

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scripts/main_msd_vae.py

RACT-CF/RaCT

ced06c9e3398184c82aa42d5eb0cd5679c905375

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1

2019-08-07T06:49:33.000Z

2020-06-20T19:04:50.000Z

scripts/main_msd_vae.py

RACT-CF/RaCT

ced06c9e3398184c82aa42d5eb0cd5679c905375

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2019-11-19T05:33:59.000Z

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import sys import os UTILS_DIR = os.path.join(os.path.abspath(os.path.dirname(__file__)), '..', 'utils') sys.path.insert(1, UTILS_DIR) from training import train, test if __name__ == '__main__': BREAK_EARLY = False BATCH_SIZE = 500 print("For this one, I just want to try out a different KL or two. Because we didn't get the competitive results we asked for the other way.") for data_subdir in ['msd']: actor_path = "VAE_ACTOR_TRAIN_{}_KL=0.1".format(data_subdir) train( model_class='multi_vae', data_subdir=data_subdir, n_epochs_pred_only=100, n_epochs_ac_only=0, n_epochs_pred_and_ac=0, # max_kl=0.2, max_kl=0.1, ac_reg_loss_scaler=0.0, actor_reg_loss_scaler=0.01, evaluation_metric="NDCG", logging_frequency=200, batch_size=BATCH_SIZE, break_early=BREAK_EARLY, verbose=False, version_tag="FULL_RUN_ON_MSD_ONLY", path_to_save_actor=actor_path, log_critic_training_error=False, ) print("Now, hopefully on to testing...") test( model_class='multi_vae', data_subdir=data_subdir, n_epochs_pred_only=100, n_epochs_ac_only=0, n_epochs_pred_and_ac=0, # max_kl=0.2, max_kl=0.1, ac_reg_loss_scaler=0.0, actor_reg_loss_scaler=0.01, evaluation_metric="NDCG", batch_size=BATCH_SIZE, break_early=BREAK_EARLY, verbose=False, version_tag="FULL_RUN_ON_MSD_ONLY", ) print("On to round 2! Now we'll do the critic.") train( model_class='multi_vae', data_subdir=data_subdir, n_epochs_pred_only=0, n_epochs_ac_only=50, n_epochs_pred_and_ac=50, # max_kl=0.2, max_kl=0.1, ac_reg_loss_scaler=0.0, actor_reg_loss_scaler=0.01, evaluation_metric="NDCG", logging_frequency=200, batch_size=BATCH_SIZE, break_early=BREAK_EARLY, verbose=False, version_tag="FULL_RUN_ON_MSD_ONLY", restore_trained_actor_path=actor_path, ) print("Now, hopefully on to testing...") test( model_class='multi_vae', data_subdir=data_subdir, n_epochs_pred_only=0, n_epochs_ac_only=50, n_epochs_pred_and_ac=50, # max_kl=0.2, max_kl=0.1, ac_reg_loss_scaler=0.0, actor_reg_loss_scaler=0.01, evaluation_metric="NDCG", batch_size=BATCH_SIZE, break_early=BREAK_EARLY, verbose=False, version_tag="FULL_RUN_ON_MSD_ONLY", restore_trained_actor_path=actor_path, ) print("Bye bye") exit() # train( # # model_class="wmf", # model_class='multi_dae', # # model_class='warp_encoder', # n_epochs_pred_only=200, # n_epochs_ac_only=0, # n_epochs_pred_and_ac=0, # # epochs_to_anneal_over=100, # # min_kl=0.0001, # max_kl=0.2, # # ac_reg_loss_scaler=0.0005, # ac_reg_loss_scaler=0.0, # # actor_reg_loss_scaler=0.00001, # actor_reg_loss_scaler=0.01, # # positive_weights=positive_weights, # # evaluation_metric='AP', # evaluation_metric="NDCG", # # logging_frequency=25, # # logging_frequency=50, # logging_frequency=50, # batch_size=500, # # batch_size=25, # break_early=False, # verbose=False, # # path_to_save_actor="best_ndcg_trained_150_epochs", # # path_to_save_last_actor="last_actor_after_150_trained_epochs", # version_tag="TRAINING_DAE", # path_to_save_actor="200_epochs_HIS_DAE", # # path_to_save_last_actor="LAST_ACTOR_OF_200_epochs_HIS_KL_annealing", # # restore_trained_actor_path="200_epochs_HIS_DAE", # ) # print("Now, hopefully on to testing...") # test( # # model_class="wmf", # model_class='multi_dae', # # model_class='warp_encoder', # n_epochs_pred_only=0, # n_epochs_ac_only=50, # n_epochs_pred_and_ac=100, # # epochs_to_anneal_over=100, # # min_kl=0.0001, # max_kl=0.2, # ac_reg_loss_scaler=0.0, # actor_reg_loss_scaler=0.01, # # positive_weights=positive_weights, # # evaluation_metric='AP', # evaluation_metric="NDCG", # # logging_frequency=25, # # logging_frequency=50, # # logging_frequency=50, # batch_size=500, # # batch_size=25, # break_early=False, # verbose=False, # # path_to_save_actor="best_ndcg_trained_150_epochs", # # path_to_save_last_actor="last_actor_after_150_trained_epochs", # version_tag="TRAINING_DAE", # # path_to_save_actor="200_epochs_HIS_DAE", # # restore_trained_actor_path="200_epochs_HIS_DAE", # ) # print("On to round 2! Now we'll do the critic.") # train( # # model_class="wmf", # model_class='multi_dae', # # model_class='warp_encoder', # n_epochs_pred_only=0, # n_epochs_ac_only=50, # n_epochs_pred_and_ac=100, # # epochs_to_anneal_over=100, # # min_kl=0.0001, # max_kl=0.2, # # ac_reg_loss_scaler=0.0005, # ac_reg_loss_scaler=0.0, # # actor_reg_loss_scaler=0.00001, # actor_reg_loss_scaler=0.01, # # positive_weights=positive_weights, # # evaluation_metric='AP', # evaluation_metric="NDCG", # # logging_frequency=25, # # logging_frequency=50, # logging_frequency=50, # batch_size=500, # # batch_size=25, # break_early=False, # verbose=False, # # path_to_save_actor="best_ndcg_trained_150_epochs", # # path_to_save_last_actor="last_actor_after_150_trained_epochs", # version_tag="TRAINING_DAE", # # path_to_save_actor="200_epochs_HIS_DAE", # # path_to_save_last_actor="LAST_ACTOR_OF_200_epochs_HIS_KL_annealing", # restore_trained_actor_path="200_epochs_HIS_DAE", # ) # print("Now, hopefully on to testing...") # test( # # model_class="wmf", # model_class='multi_dae', # # model_class='warp_encoder', # n_epochs_pred_only=0, # n_epochs_ac_only=50, # n_epochs_pred_and_ac=100, # # epochs_to_anneal_over=100, # # min_kl=0.0001, # max_kl=0.2, # ac_reg_loss_scaler=0.0, # actor_reg_loss_scaler=0.01, # # positive_weights=positive_weights, # # evaluation_metric='AP', # evaluation_metric="NDCG", # # logging_frequency=25, # # logging_frequency=50, # # logging_frequency=50, # batch_size=500, # # batch_size=25, # break_early=False, # verbose=False, # # path_to_save_actor="best_ndcg_trained_150_epochs", # # path_to_save_last_actor="last_actor_after_150_trained_epochs", # version_tag="TRAINING_DAE", # # path_to_save_actor="200_epochs_HIS_DAE", # restore_trained_actor_path="200_epochs_HIS_DAE", # ) # print("Bye bye") # exit() # for positive_weights in [2.0, 5.0, 10.0, 30.0, 50.0, 100.0]: # train( # model_class="wmf", # # model_class='multi_vae', # # model_class='warp_encoder', # n_epochs_pred_only=50, # n_epochs_ac_only=0, # n_epochs_pred_and_ac=0, # epochs_to_anneal_over=50, # max_kl=0.2, # ac_reg_loss_scaler=0.0005, # actor_reg_loss_scaler=0.00001, # positive_weights=positive_weights, # # evaluation_metric='AP', # evaluation_metric="NDCG", # # logging_frequency=25, # # logging_frequency=50, # logging_frequency=50, # batch_size=500, # # batch_size=25, # break_early=False, # verbose=False, # # path_to_save_actor="best_ndcg_trained_150_epochs", # # path_to_save_last_actor="last_actor_after_150_trained_epochs", # version_tag="making_one_trained_on_each_eval_metric", # # path_to_save_actor="test_actor_save", # # restore_trained_actor_path="last_actor_after_150_trained_epochs" # ) # exit("Exiting gracefully!") # # train( # # model_class='multi_vae', # # # model_class='warp_encoder', # # n_epochs_pred_only=0, # # n_epochs_ac_only=50, # # n_epochs_pred_and_ac=100, # # epochs_to_anneal_over=50, # # max_kl=0.2, # # ac_reg_loss_scaler=0.0005, # # # evaluation_metric='AP', # # evaluation_metric="NDCG", # # # logging_frequency=25, # # # logging_frequency=50, # # logging_frequency=50, # # batch_size=500, # # # batch_size=25, # # break_early=False, # # verbose=False, # # # path_to_save_actor="best_ndcg_trained_150_epochs", # # # path_to_save_last_actor="last_actor_after_150_trained_epochs", # # version_tag="making_one_trained_on_each_eval_metric", # # # path_to_save_actor="test_actor_save", # # restore_trained_actor_path="last_actor_after_150_trained_epochs" # # ) # print("Just for good measure, I'm going to run the test function too.") # test( # model_class='multi_vae', # # model_class='warp_encoder', # n_epochs_pred_only=0, # n_epochs_ac_only=50, # n_epochs_pred_and_ac=100, # epochs_to_anneal_over=50, # max_kl=0.2, # ac_reg_loss_scaler=0.0005, # # evaluation_metric='AP', # evaluation_metric="NDCG", # # logging_frequency=25, # # logging_frequency=50, # # logging_frequency=50, # batch_size=500, # # batch_size=25, # break_early=False, # verbose=False, # # path_to_save_actor="best_ndcg_trained_150_epochs", # # path_to_save_last_actor="last_actor_after_150_trained_epochs", # version_tag="making_one_trained_on_each_eval_metric", # # path_to_save_actor="test_actor_save", # restore_trained_actor_path="last_actor_after_150_trained_epochs" # ) # exit("Bye bye now! I doubt it will make it here, but a man can dream.") # for ac_reg_loss_scaler in [0.0, 1e-3, 1e-2, 1e-1]: # train( # model_class='multi_vae', # # model_class='warp_encoder', # n_epochs_pred_only=0, # n_epochs_ac_only=50, # n_epochs_pred_and_ac=50, # epochs_to_anneal_over=50, # max_kl=0.2, # # evaluation_metric='AP', # evaluation_metric="NDCG", # # logging_frequency=25, # logging_frequency=50, # batch_size=500, # # batch_size=25, # break_early=False, # verbose=False, # ac_reg_loss_scaler=ac_reg_loss_scaler, # version_tag="hyperparameter_ac_reg", # # path_to_save_actor="best_ndcg_trained_100_epochs", # # path_to_save_last_actor="last_actor_after_100_trained_epochs", # # path_to_save_actor="test_actor_save", # restore_trained_actor_path="best_ndcg_trained_100_epochs", # )

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false

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0.036585

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0.036585

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0

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1

0

1

0

null

0

7

35170ef513a8a0bd897201745a96b5f7f4c91dc3

2,146

py

Python

tests/test_stop.py

half-pie/half-json

d8064e90ac769547c22db11bcbe47fcb4f1eb600

[ "MIT" ]

4

2020-08-04T15:14:25.000Z

2021-08-18T18:29:03.000Z

tests/test_stop.py

half-pie/half-json

d8064e90ac769547c22db11bcbe47fcb4f1eb600

[ "MIT" ]

1

2019-06-04T15:01:31.000Z

tests/test_stop.py

half-pie/half-json

d8064e90ac769547c22db11bcbe47fcb4f1eb600

[ "MIT" ]

3

2019-06-01T14:16:32.000Z

2021-06-25T10:10:47.000Z

# coding=utf8 import unittest from half_json.core import JSONFixer class TestOtherCase(unittest.TestCase): def test_patch_left_object(self): line = '}' ok, newline, _ = JSONFixer().fix(line) self.assertTrue(ok) self.assertEqual('{}', newline) def test_patch_left_array(self): line = ']' ok, newline, _ = JSONFixer().fix(line) self.assertTrue(ok) self.assertEqual('[]', newline) def test_patch_half_array(self): line = '[]]' ok, newline, _ = JSONFixer().fix(line) self.assertTrue(ok) self.assertEqual('[[]]', newline) def test_patch_half_object(self): line = '{}}' ok, newline, _ = JSONFixer().fix(line) self.assertTrue(ok) self.assertEqual('{"":{}}', newline) def test_patch_half_object_array(self): line = '{}]' ok, newline, _ = JSONFixer().fix(line) self.assertTrue(ok) self.assertEqual('[{}]', newline) def test_patch_half_array_object(self): line = '[]}' ok, newline, _ = JSONFixer().fix(line) self.assertTrue(ok) self.assertEqual('{"":[]}', newline) def test_patch_half_array_with_coma(self): line = '1, [""], -1]' ok, newline, _ = JSONFixer().fix(line) self.assertTrue(ok) self.assertEqual('[1, [""], -1]', newline) def test_patch_half_array_with_coma_v2(self): line = '1, 2' ok, newline, _ = JSONFixer().fix(line) self.assertTrue(ok) self.assertEqual('[1, 2]', newline) def test_patch_half_object_with_colon(self): line = '"a":' ok, newline, _ = JSONFixer().fix(line) self.assertTrue(ok) self.assertEqual('{"a":null}', newline) def test_patch_many_half_object(self): line = '{}[]{}}]' ok, newline, _ = JSONFixer().fix(line) self.assertTrue(ok) self.assertEqual('[{"":{},"":[],"":{}}]', newline) def test_patch_string(self): line = 'E"' ok, newline, _ = JSONFixer().fix(line) self.assertTrue(ok) self.assertEqual('"E"', newline)

28.613333

58

0.56617

234

2,146

4.961538

0.153846

0.066322

0.113695

0.198966

0.826012

0.801034

0.763135

0

0.006345

0.26561

2,146

74

59

29

0.73033

0.005126

0

0.37931

0

0.057665

0.009845

0

0.37931

1

0.189655

false

0

0.034483

0

0.241379

0

null

0

1

0

null

0

7

35185f7946a37445fcdf93fc6c4208d86886d823

78,601

py

Python

integration_tests/blockchain/blockchain_integration_test.py

hyperultra/sawtooth-next-directory-poc

cb34b7b3d906bc5b5d429078ba5cf0ffc9af0401

[ "Apache-2.0" ]

null

integration_tests/blockchain/blockchain_integration_test.py

hyperultra/sawtooth-next-directory-poc

cb34b7b3d906bc5b5d429078ba5cf0ffc9af0401

[ "Apache-2.0" ]

null

integration_tests/blockchain/blockchain_integration_test.py

hyperultra/sawtooth-next-directory-poc

cb34b7b3d906bc5b5d429078ba5cf0ffc9af0401

[ "Apache-2.0" ]

null

# Copyright 2017 Intel Corporation # # 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 base64 import b64decode import sys import logging import time import unittest from uuid import uuid4 from urllib.request import urlopen from urllib.error import HTTPError from urllib.error import URLError from sawtooth_cli.rest_client import RestClient import sawtooth_signing from sawtooth_signing.secp256k1 import Secp256k1PrivateKey from rbac_addressing import addresser from rbac_transaction_creation.protobuf import user_state_pb2 from rbac_transaction_creation.common import Key from rbac_transaction_creation import manager_transaction_creation from rbac_transaction_creation.user_transaction_creation import create_user from rbac_transaction_creation import role_transaction_creation from rbac_transaction_creation import task_transaction_creation LOGGER = logging.getLogger(__name__) LOGGER.level = logging.DEBUG LOGGER.addHandler(logging.StreamHandler(sys.stdout)) BATCHER_PRIVATE_KEY = Secp256k1PrivateKey.new_random().as_hex() BATCHER_KEY = Key(BATCHER_PRIVATE_KEY) BATCHER_PUBLIC_KEY = BATCHER_KEY.public_key def wait_until_status(url, status_code=200, tries=5): """Pause the program until the given url returns the required status. Args: url (str): The url to query. status_code (int, optional): The required status code. Defaults to 200. tries (int, optional): The number of attempts to request the url for the given status. Defaults to 5. Raises: AssertionError: If the status is not received in the given number of tries. """ attempts = tries while attempts > 0: try: response = urlopen(url) if response.getcode() == status_code: return except HTTPError as err: if err.code == status_code: return LOGGER.debug('failed to read url: %s', str(err)) except URLError as err: LOGGER.debug('failed to read url: %s', str(err)) sleep_time = (tries - attempts + 1) * 2 LOGGER.debug('Retrying in %s secs', sleep_time) time.sleep(sleep_time) attempts -= 1 raise AssertionError( "{} is not available within {} attempts".format(url, tries)) def wait_for_rest_apis(endpoints, tries=5): """Pause the program until all the given REST API endpoints are available. Args: endpoints (list of str): A list of host:port strings. tries (int, optional): The number of attempts to request the url for availability. """ for endpoint in endpoints: wait_until_status( 'http://{}/blocks'.format(endpoint), status_code=200, tries=tries) class TestBlockchain(unittest.TestCase): @classmethod def setUpClass(cls): cls.client = RBACClient('http://rest-api:8080') cls.key1, cls.user1 = make_key_and_name() cls.key2a, cls.user2a = make_key_and_name() cls.key3a, cls.user3a = make_key_and_name() cls.key2b, cls.user2b = make_key_and_name() cls.key_invalid, cls.user_invalid = make_key_and_name() cls.key3b, cls.user3b = make_key_and_name() cls.role_id1 = str(uuid4()) cls.task_id1 = str(uuid4()) cls.update_manager_proposal_id = str(uuid4()) cls.add_role_admins_proposal_id = str(uuid4()) cls.add_role_owners_proposal_id = str(uuid4()) cls.add_role_members_proposal_id = str(uuid4()) cls.add_role_tasks_proposal_id = str(uuid4()) cls.add_task_admins_proposal_id = str(uuid4()) cls.add_task_owners_proposal_id = str(uuid4()) cls.remove_task_admins_proposal_id = str(uuid4()) cls.remove_task_owners_proposal_id = str(uuid4()) def test_00_create_users(self): """Tests that the validation rules within the transaction processor are applied correctly. Notes: 1. User CreateUser Validation rules: - Public key given for manager must be in state as a User. - User must not already exist. - The signing public key must belong to the user or manager. - The User must have a name longer than 4 characters. Create 5 Users, user1 / \ / \ user2a user2b / \ / \ user3a user3b UpdateUserManager Validation rules: """ wait_for_rest_apis(['rest-api:8080']) self.assertEqual( self.client.create_user( key=self.key1, name=self.user1, user_name=self.user1, user_id=self.key1.public_key)[0]['status'], 'COMMITTED') self.assertEqual( self.client.create_user( key=self.key1, name=self.user2a, user_name=self.user2a, user_id=self.key2a.public_key, manager_id=self.key1.public_key)[0]['status'], 'COMMITTED') self.assertEqual( self.client.create_user( key=self.key3a, name=self.user2b, user_name=self.user2b, user_id=self.key2b.public_key, manager_id=self.key3a.public_key)[0]['status'], 'INVALID', "The transaction is invalid because the public key given for " "the manager does not exist in state.") self.assertEqual( self.client.create_user( key=self.key2a, name=self.user1, user_name=self.user1, user_id=self.key2a.public_key, manager_id=self.key1.public_key)[0]['status'], 'INVALID', "The transaction is invalid because the User already exists.") self.assertEqual( self.client.create_user( key=self.key2a, name=self.user2b, user_name=self.user2b, user_id=self.key2b.public_key, manager_id=self.key1.public_key)[0]['status'], 'INVALID', "The signing key does not belong to the user or manager.") self.assertEqual( self.client.create_user( key=self.key_invalid, name=self.user_invalid[:4], user_name=self.user_invalid[:4], user_id=self.key_invalid.public_key, manager_id=None)[0]['status'], 'INVALID', "The User's name must be at least 5 characters long.") self.assertEqual( self.client.create_user( key=self.key2a, name=self.user3a, user_name=self.user3a, user_id=self.key3a.public_key, manager_id=self.key2a.public_key)[0]['status'], 'COMMITTED') self.assertEqual( self.client.create_user( key=self.key1, name=self.user2b, user_name=self.user2b, user_id=self.key2b.public_key, manager_id=self.key1.public_key)[0]['status'], 'COMMITTED') self.assertEqual( self.client.create_user( key=self.key3b, name=self.user3b, user_name=self.user3b, user_id=self.key3b.public_key, manager_id=self.key2b.public_key)[0]['status'], 'COMMITTED') state_items = self.client.return_state() self.assertEqual(len(state_items), 5, "There are 5 users in state.") def test_01_create_roles(self): """Tests that the CreateRole validation rules are correct. Notes: Role: CreateRole Validation rules - There isn't already a Role with the same id - The Admins listed are Users. Role1 - Admins - user1 - user2a - Owners - user2b - Members - user3a - user3b """ _, role1 = make_key_and_name() metadata = uuid4().hex self.assertEqual( self.client.create_role( key=self.key1, role_name=role1, role_id=self.role_id1, metadata=metadata, admins=[self.key1.public_key, self.key2a.public_key], owners=[self.key2b.public_key])[0]['status'], "COMMITTED") self.assertEqual( self.client.create_role( key=self.key1, role_name=role1, role_id=self.role_id1, metadata=metadata, admins=[self.key2a.public_key], owners=[self.key2b.public_key])[0]['status'], "INVALID", "The Role Id must not already exist.") _, role2 = make_key_and_name() role_id2 = uuid4().hex self.assertEqual( self.client.create_role( key=self.key1, role_name=role2, role_id=role_id2, metadata=metadata, admins=[self.key_invalid.public_key, self.key2a.public_key], owners=[self.key2b.public_key])[0]['status'], "INVALID", "All Admins listed must be Users") self.assertEqual( self.client.create_role( key=self.key1, role_name=role2, role_id=role_id2, metadata=metadata, admins=[self.key2a.public_key], owners=[self.key_invalid.public_key, self.key2b.public_key])[0]['status'], "INVALID", "All Owners listed must be Users") def test_02_propose_update_user_manager(self): """Tests that the ProposeUpdateUserManager validation rules are correct. Notes: ProposeUpdateUserManager Validation rules - The user exists. - The manager exists as a user. - The transaction header signer's public key is the User's current manager. - No open proposal for the same change exists. """ self.assertEqual( self.client.propose_update_manager( key=self.key1, proposal_id=uuid4().hex, user_id=self.key_invalid.public_key, new_manager_id=self.key1.public_key, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "INVALID", "The User must exist") self.assertEqual( self.client.propose_update_manager( key=self.key_invalid, proposal_id=uuid4().hex, user_id=self.key1.public_key, new_manager_id=self.key_invalid.public_key, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "INVALID", "The manager must exist") self.assertEqual( self.client.propose_update_manager( key=self.key3b, proposal_id=uuid4().hex, user_id=self.key2a.public_key, new_manager_id=self.key2b.public_key, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "INVALID", "The current manager must sign the txn.") self.assertEqual( self.client.propose_update_manager( key=self.key1, proposal_id=self.update_manager_proposal_id, user_id=self.key2a.public_key, new_manager_id=self.key2b.public_key, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "COMMITTED") self.assertEqual( self.client.propose_update_manager( key=self.key1, proposal_id=uuid4().hex, user_id=self.key2a.public_key, new_manager_id=self.key2b.public_key, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "INVALID", "There is already a proposal to make user2a have user2b " "as a manager.") def test_03_confirm_update_manager_proposal(self): """Tests the ConfirmUpdateUserManager validation rules. Notes: ConfirmUpdateUserManager validation rules - The txn signer is the new manager - The Proposal exists and is OPEN. """ self.assertEqual( self.client.confirm_update_manager( key=self.key1, proposal_id=self.update_manager_proposal_id, reason=uuid4().hex, user_id=self.key2a.public_key, manager_id=self.key2b.public_key )[0]['status'], "INVALID", "The txn signer must be the new manager listed on the proposal") self.assertEqual( self.client.confirm_update_manager( key=self.key2b, proposal_id=uuid4().hex, reason=uuid4().hex, user_id=uuid4().hex, manager_id=self.key2b.public_key)[0]['status'], "INVALID", "The proposal must exist") self.assertEqual( self.client.confirm_update_manager( key=self.key2b, proposal_id=self.update_manager_proposal_id, reason=uuid4().hex, user_id=self.key2a.public_key, manager_id=self.key2b.public_key)[0]['status'], "COMMITTED") self.assertEqual( self.client.confirm_update_manager( key=self.key2b, proposal_id=self.update_manager_proposal_id, reason=uuid4().hex, user_id=self.key2a.public_key, manager_id=self.key2b.public_key)[0]['status'], "INVALID", "The proposal must be open") def test_04_reject_update_manager_proposal(self): """Tests the RejectUpdateUserManager validation rules. Notes: RejectUpdateUserManager validation rules - The proposal is open and exists. - The manager's id is the header signer pubkey. """ proposal_id = uuid4().hex self.assertEqual( self.client.propose_update_manager( key=self.key2b, proposal_id=proposal_id, reason=uuid4().hex, user_id=self.key2a.public_key, new_manager_id=self.key3b.public_key, metadata=uuid4().hex)[0]['status'], "COMMITTED") self.assertEqual( self.client.reject_update_manager( key=self.key1, proposal_id=uuid4().hex, reason=uuid4().hex, user_id=self.key1.public_key, manager_id=self.key3b.public_key)[0]['status'], "INVALID", "The proposal does not exist") self.assertEqual( self.client.reject_update_manager( key=self.key3b, proposal_id=proposal_id, reason=uuid4().hex, user_id=self.key2a.public_key, manager_id=self.key3b.public_key)[0]['status'], "COMMITTED") self.assertEqual( self.client.reject_update_manager( key=self.key3b, proposal_id=proposal_id, reason=uuid4().hex, user_id=self.key2a.public_key, manager_id=self.key3b.public_key)[0]['status'], "INVALID", "The proposal is not open") def test_05_propose_add_role_admins(self): """Tests the ProposeAddRoleAdmins validation rules. Notes: ProposeAddRoleAdmins validation rules - No proposal exists for the same change. - The user is not already an admin. - The txn is signed by either the User or their manager. - The User exists. - The Role exists. At this point: user1 role1 \ \ user2b admins / \ - user1 / user2a - user2a user3b \ user3a """ invalid_role_id = uuid4().hex invalid_user_id = uuid4().hex self.assertEqual( self.client.propose_add_role_admins( key=self.key1, proposal_id=uuid4().hex, role_id=invalid_role_id, user_id=self.key2b.public_key, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "INVALID", "The role must exist") self.assertEqual( self.client.propose_add_role_admins( key=self.key1, proposal_id=uuid4().hex, role_id=self.role_id1, user_id=invalid_user_id, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "INVALID", "The user must exist") self.assertEqual( self.client.propose_add_role_admins( key=self.key1, proposal_id=uuid4().hex, role_id=self.role_id1, user_id=self.key3a.public_key, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "INVALID", "The txn must be signed by either the user or their manager") self.assertEqual( self.client.propose_add_role_admins( key=self.key2a, proposal_id=uuid4().hex, role_id=self.role_id1, user_id=self.key2a.public_key, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "INVALID", "The user must not already be an admin") self.assertEqual( self.client.propose_add_role_admins( key=self.key2a, proposal_id=self.add_role_admins_proposal_id, role_id=self.role_id1, user_id=self.key3a.public_key, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "COMMITTED") self.assertEqual( self.client.propose_add_role_admins( key=self.key2a, proposal_id=uuid4().hex, role_id=self.role_id1, user_id=self.key3a.public_key, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "INVALID", "There must not be an open proposal for the same change.") def test_06_confirm_add_role_admins(self): """Tests the ConfirmAddRoleAdmins validation rules. Notes: ConfirmAddRoleAdmins validation rules - The txn signer is a Role Admin for the role. - The proposal exists and is open. """ self.assertEqual( self.client.confirm_add_role_admins( key=self.key3b, proposal_id=self.add_role_admins_proposal_id, role_id=self.role_id1, user_id=self.key3a.public_key, reason=uuid4().hex)[0]['status'], "INVALID", "The txn signer for ConfirmAddRoleAdmin must be an admin " "of the role.") self.assertEqual( self.client.confirm_add_role_admins( key=self.key1, proposal_id=uuid4().hex, role_id=uuid4().hex, user_id=uuid4().hex, reason=uuid4().hex)[0]['status'], "INVALID", "The proposal must exist.") self.assertEqual( self.client.confirm_add_role_admins( key=self.key1, proposal_id=self.add_role_admins_proposal_id, role_id=self.role_id1, user_id=self.key3a.public_key, reason=uuid4().hex)[0]['status'], "COMMITTED") self.assertEqual( self.client.confirm_add_role_admins( key=self.key1, proposal_id=self.add_role_admins_proposal_id, role_id=self.role_id1, user_id=self.key3a.public_key, reason=uuid4().hex)[0]['status'], "INVALID", "The proposal must be open.") def test_07_reject_add_role_admins(self): """Tests the RejectAddRoleAdmins validation rules. Notes: RejectAddRoleAdmins validation rules - The txn signer is a role admin. - The proposal exists and is open. """ proposal_id = uuid4().hex self.assertEqual( self.client.propose_add_role_admins( key=self.key2b, proposal_id=proposal_id, role_id=self.role_id1, user_id=self.key3b.public_key, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "COMMITTED") self.assertEqual( self.client.reject_add_role_admins( key=self.key3b, proposal_id=proposal_id, role_id=self.role_id1, user_id=self.key3b.public_key, reason=uuid4().hex)[0]['status'], "INVALID", "The user is not a Role Admin.") self.assertEqual( self.client.reject_add_role_admins( key=self.key1, proposal_id=uuid4().hex, role_id=uuid4().hex, user_id=uuid4().hex, reason=uuid4().hex)[0]['status'], "INVALID", "The proposal must exist.") self.assertEqual( self.client.reject_add_role_admins( key=self.key1, proposal_id=proposal_id, role_id=self.role_id1, user_id=self.key3b.public_key, reason=uuid4().hex)[0]['status'], "COMMITTED") self.assertEqual( self.client.reject_add_role_admins( key=self.key1, proposal_id=proposal_id, role_id=self.role_id1, user_id=self.key3b.public_key, reason=uuid4().hex)[0]['status'], "INVALID", "The proposal must be open.") def test_08_propose_add_role_owners(self): """Tests the ProposeAddRoleOwners validation rules. Notes: ProposeAddRoleOwners validation rules - The Role exists. - The User exists. - The txn signer is either the User or the User's manager. - No open proposal exists for the same change. - The User is not already an Owner of the Role. """ self.assertEqual( self.client.propose_add_role_owners( key=self.key2b, proposal_id=uuid4().hex, role_id=uuid4().hex, user_id=self.key3b.public_key, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "INVALID", "The role must exist.") self.assertEqual( self.client.propose_add_role_owners( key=self.key2b, proposal_id=uuid4().hex, role_id=self.role_id1, user_id=uuid4().hex, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "INVALID", "The user must exist") self.assertEqual( self.client.propose_add_role_owners( key=self.key1, proposal_id=uuid4().hex, role_id=self.role_id1, user_id=self.key3b.public_key, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "INVALID", "The txn signer must be the user or user's manager.") self.assertEqual( self.client.propose_add_role_owners( key=self.key2b, proposal_id=self.add_role_owners_proposal_id, role_id=self.role_id1, user_id=self.key3b.public_key, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "COMMITTED") self.assertEqual( self.client.propose_add_role_owners( key=self.key2b, proposal_id=uuid4().hex, role_id=self.role_id1, user_id=self.key3b.public_key, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "INVALID", "No open proposal can exist for the same state change.") def test_09_confirm_add_role_owners(self): """Tests the ConfirmAddRoleOwners validation rules. Notes: ConfirmAddRoleOwners validation rules - The proposal exists and is open. - The txn signer is a Role admin. At this point: user1 role1 \ \ user2b admins / \ - user1 / user2a - user2a user3b \ - user3a user3a """ self.assertEqual( self.client.confirm_add_role_owners( key=self.key2b, proposal_id=self.add_role_admins_proposal_id, role_id=self.role_id1, user_id=self.key3b.public_key, reason=uuid4().hex)[0]['status'], "INVALID", "The txn signer for ConfirmAddRoleOwner must be an admin " "of the role.") self.assertEqual( self.client.confirm_add_role_owners( key=self.key1, proposal_id=uuid4().hex, role_id=uuid4().hex, user_id=uuid4().hex, reason=uuid4().hex)[0]['status'], "INVALID", "The proposal must exist.") self.assertEqual( self.client.confirm_add_role_owners( key=self.key3a, proposal_id=self.add_role_owners_proposal_id, role_id=self.role_id1, user_id=self.key3b.public_key, reason=uuid4().hex)[0]['status'], "COMMITTED") self.assertEqual( self.client.confirm_add_role_owners( key=self.key3a, proposal_id=self.add_role_admins_proposal_id, role_id=self.role_id1, user_id=self.key3b.public_key, reason=uuid4().hex)[0]['status'], "INVALID", "The proposal must be open.") def test_10_reject_add_role_owners(self): """Tests the RejectAddRoleOwners validation rules. Notes: RejectAddRoleOwners validation rules - The txn signer is an admin of the Role - The proposal exists and is open. """ proposal_id = uuid4().hex self.assertEqual( self.client.propose_add_role_owners( key=self.key1, proposal_id=proposal_id, role_id=self.role_id1, user_id=self.key1.public_key, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "COMMITTED") self.assertEqual( self.client.reject_add_role_owners( key=self.key3b, proposal_id=proposal_id, role_id=self.role_id1, user_id=self.key1.public_key, reason=uuid4().hex)[0]['status'], "INVALID", "The txn signer is not a Role Admin.") self.assertEqual( self.client.reject_add_role_owners( key=self.key1, proposal_id=uuid4().hex, role_id=uuid4().hex, user_id=uuid4().hex, reason=uuid4().hex)[0]['status'], "INVALID", "The proposal must exist.") self.assertEqual( self.client.reject_add_role_owners( key=self.key1, proposal_id=proposal_id, role_id=self.role_id1, user_id=self.key1.public_key, reason=uuid4().hex)[0]['status'], "COMMITTED") self.assertEqual( self.client.reject_add_role_owners( key=self.key1, proposal_id=proposal_id, role_id=self.role_id1, user_id=self.key1.public_key, reason=uuid4().hex)[0]['status'], "INVALID", "The proposal must be open.") def test_11_propose_add_role_members(self): """Tests the ProposeAddRoleMembers validation rules. Notes: ProposeAddRoleMembers validation rules - The Role exists. - The User exists. - The txn signer is either the User or the User's manager. - No open proposal exists for the same change. - The User is not already a Member of the Role. At this point: user1 role1 \ / \ user2b owners admins / \ - user3b - user1 / user2a - user2a user3b \ - user3a user3a """ self.assertEqual( self.client.propose_add_role_members( key=self.key2b, proposal_id=uuid4().hex, role_id=uuid4().hex, user_id=self.key3b.public_key, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "INVALID", "The role must exist.") self.assertEqual( self.client.propose_add_role_members( key=self.key2b, proposal_id=uuid4().hex, role_id=self.role_id1, user_id=uuid4().hex, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "INVALID", "The user must exist") self.assertEqual( self.client.propose_add_role_members( key=self.key1, proposal_id=uuid4().hex, role_id=self.role_id1, user_id=self.key3b.public_key, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "INVALID", "The txn signer must be the user or user's manager.") self.assertEqual( self.client.propose_add_role_members( key=self.key1, proposal_id=self.add_role_members_proposal_id, role_id=self.role_id1, user_id=self.key2b.public_key, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "COMMITTED") self.assertEqual( self.client.propose_add_role_members( key=self.key1, proposal_id=uuid4().hex, role_id=self.role_id1, user_id=self.key2b.public_key, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "INVALID", "No open proposal can exist for the same state change.") def test_12_confirm_add_role_members(self): """Tests the ConfirmAddRoleMembers validation rules. Notes: ConfirmAddRoleMembers validation rules - The proposal exists and is open. - The txn signer is a Role owner. """ self.assertEqual( self.client.confirm_add_role_members( key=self.key1, proposal_id=self.add_role_members_proposal_id, role_id=self.role_id1, user_id=self.key2b.public_key, reason=uuid4().hex)[0]['status'], "INVALID", "The txn signer for ConfirmAddRoleMember must be an owner " "of the role.") self.assertEqual( self.client.confirm_add_role_members( key=self.key3b, proposal_id=uuid4().hex, role_id=uuid4().hex, user_id=uuid4().hex, reason=uuid4().hex)[0]['status'], "INVALID", "The proposal must exist.") self.assertEqual( self.client.confirm_add_role_members( key=self.key3b, proposal_id=self.add_role_members_proposal_id, role_id=self.role_id1, user_id=self.key2b.public_key, reason=uuid4().hex)[0]['status'], "COMMITTED") self.assertEqual( self.client.confirm_add_role_members( key=self.key3b, proposal_id=self.add_role_members_proposal_id, role_id=self.role_id1, user_id=self.key2b.public_key, reason=uuid4().hex)[0]['status'], "INVALID", "The proposal must be open.") def test_13_reject_add_role_members(self): """Tests the RejectAddRoleMembers validation rules. Notes: RejectAddRoleMembers validation rules - The txn signer is an owner of the Role - The proposal exists and is open. """ proposal_id = uuid4().hex self.assertEqual( self.client.propose_add_role_members( key=self.key1, proposal_id=proposal_id, role_id=self.role_id1, user_id=self.key1.public_key, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "COMMITTED") self.assertEqual( self.client.reject_add_role_members( key=self.key2a, proposal_id=proposal_id, role_id=self.role_id1, user_id=self.key1.public_key, reason=uuid4().hex)[0]['status'], "INVALID", "The txn signer is not a Role Owner.") self.assertEqual( self.client.reject_add_role_members( key=self.key3b, proposal_id=uuid4().hex, role_id=uuid4().hex, user_id=uuid4().hex, reason=uuid4().hex)[0]['status'], "INVALID", "The proposal must exist.") self.assertEqual( self.client.reject_add_role_members( key=self.key3b, proposal_id=proposal_id, role_id=self.role_id1, user_id=self.key1.public_key, reason=uuid4().hex)[0]['status'], "COMMITTED") self.assertEqual( self.client.reject_add_role_members( key=self.key3b, proposal_id=proposal_id, role_id=self.role_id1, user_id=self.key1.public_key, reason=uuid4().hex)[0]['status'], "INVALID", "The proposal must be open.") def test_14_create_task(self): """Tests the CreateTask validation rules. Notes: CreateTask validation rules - The admins listed are users. - The task_id is not used already. """ self.assertEqual( self.client.create_task( key=self.key1, task_id=uuid4().hex, task_name=uuid4().hex, admins=[uuid4().hex], owners=[self.key1.public_key], metadata=uuid4().hex)[0]['status'], "INVALID", "All admins must be users.") self.assertEqual( self.client.create_task( key=self.key1, task_id=uuid4().hex, task_name=uuid4().hex, admins=[self.key1.public_key], owners=[uuid4().hex], metadata=uuid4().hex)[0]['status'], "INVALID", "All owners must be users") self.assertEqual( self.client.create_task( key=self.key1, task_id=self.task_id1, task_name=uuid4().hex, admins=[self.key1.public_key], owners=[self.key2a.public_key], metadata=uuid4().hex)[0]['status'], "COMMITTED") self.assertEqual( self.client.create_task( key=self.key1, task_id=self.task_id1, task_name=uuid4().hex, admins=[self.key1.public_key], owners=[self.key1.public_key], metadata=uuid4().hex)[0]['status'], "INVALID", "The task_id must not belong to another task.") def test_15_propose_add_role_tasks(self): """Tests the ProposeAddRoleTasks validation rules. Notes: ProposeAddRoleTask validation rules - The txn is signed by a role owner. - The Role exists. - THe Task exists. - The Task isn't already part of the Role. - No open proposal exists for the same change. """ self.assertEqual( self.client.propose_add_role_tasks( key=self.key1, proposal_id=str(uuid4()), role_id=self.role_id1, task_id=self.task_id1, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "INVALID", "The txn signer must be a Role Owner") self.assertEqual( self.client.propose_add_role_tasks( key=self.key3b, proposal_id=str(uuid4()), role_id=str(uuid4()), task_id=self.task_id1, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "INVALID", "The role must exist.") self.assertEqual( self.client.propose_add_role_tasks( key=self.key3b, proposal_id=str(uuid4()), role_id=str(uuid4()), task_id=self.task_id1, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "INVALID", "The task must exist.") self.assertEqual( self.client.propose_add_role_tasks( key=self.key3b, proposal_id=self.add_role_tasks_proposal_id, role_id=self.role_id1, task_id=self.task_id1, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "COMMITTED") self.assertEqual( self.client.propose_add_role_tasks( key=self.key3b, proposal_id=str(uuid4()), role_id=self.role_id1, task_id=self.task_id1, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "INVALID", "No Proposal for the same Add Role Task can exist.") def test_16_confirm_add_role_tasks(self): """Tests the ConfirmAddRoleTasks validation rules. Notes: ConfirmAddRoleTasks validation rules - The Proposal exists and is open. - The txn signer is an Owner of the Task """ self.assertEqual( self.client.confirm_add_role_tasks( key=self.key2a, proposal_id=str(uuid4()), role_id=self.role_id1, task_id=self.task_id1, reason=uuid4().hex)[0]['status'], "INVALID", "The proposal must exist.") self.assertEqual( self.client.confirm_add_role_tasks( key=self.key1, proposal_id=self.add_role_tasks_proposal_id, role_id=self.role_id1, task_id=self.task_id1, reason=uuid4().hex)[0]['status'], "INVALID", "The txn signer must be a Task Owner.") self.assertEqual( self.client.confirm_add_role_tasks( key=self.key2a, proposal_id=self.add_role_tasks_proposal_id, role_id=self.role_id1, task_id=self.task_id1, reason=uuid4().hex)[0]['status'], "COMMITTED") self.assertEqual( self.client.confirm_add_role_tasks( key=self.key2a, proposal_id=self.add_role_tasks_proposal_id, role_id=self.role_id1, task_id=self.task_id1, reason=uuid4().hex)[0]['status'], "INVALID", "The proposal must be open.") def test_17_reject_add_role_tasks(self): """Tests the RejectAddRoleTasks validation rules. Notes: RejectAddRoleTasks validation rules - The Proposal exists and is open. - The txn signer is an Owner of the Task """ proposal_id = str(uuid4()) task_id = str(uuid4()) self.assertEqual( self.client.create_task( self.key1, task_id=task_id, task_name=uuid4().hex, admins=[self.key1.public_key], owners=[self.key1.public_key], metadata=uuid4().hex)[0]['status'], "COMMITTED") self.assertEqual( self.client.propose_add_role_tasks( key=self.key3b, proposal_id=proposal_id, role_id=self.role_id1, task_id=task_id, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "COMMITTED") self.assertEqual( self.client.reject_add_role_tasks( key=self.key1, proposal_id=str(uuid4()), role_id=self.role_id1, task_id=task_id, reason=uuid4().hex)[0]['status'], "INVALID", "The proposal must exist.") self.assertEqual( self.client.reject_add_role_tasks( key=self.key2a, proposal_id=proposal_id, role_id=self.role_id1, task_id=task_id, reason=uuid4().hex)[0]['status'], "INVALID", "The txn signer must be a Task Owner.") self.assertEqual( self.client.reject_add_role_tasks( key=self.key1, proposal_id=proposal_id, role_id=self.role_id1, task_id=task_id, reason=uuid4().hex)[0]['status'], "COMMITTED") self.assertEqual( self.client.reject_add_role_tasks( key=self.key1, proposal_id=proposal_id, role_id=self.role_id1, task_id=task_id, reason=uuid4().hex)[0]['status'], "INVALID", "The proposal must be open.") def test_18_propose_add_task_admins(self): """Tests the ProposeAddTaskAdmins validation rules. Notes: ProposeAddTaskAdmins validation rules. - The Task exists - The User exists - The txn signer is the User or the User's manager. - No open proposal exists for the same change. - The user is not already an Admin of the Task. """ self.assertEqual( self.client.propose_add_task_admins( key=self.key1, proposal_id=str(uuid4()), task_id=str(uuid4()), user_id=self.key2b.public_key, reason=str(uuid4()), metadata=str(uuid4()))[0]['status'], "INVALID", "The Task must exist.") self.assertEqual( self.client.propose_add_task_admins( key=self.key_invalid, proposal_id=str(uuid4()), task_id=self.task_id1, user_id=self.key_invalid.public_key, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "INVALID", "The user must exist") self.assertEqual( self.client.propose_add_task_admins( key=self.key1, proposal_id=str(uuid4()), task_id=self.task_id1, user_id=self.key3a.public_key, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "INVALID", "The txn signer must be the user or user's manager") self.assertEqual( self.client.propose_add_task_admins( key=self.key2b, proposal_id=self.add_task_admins_proposal_id, task_id=self.task_id1, user_id=self.key2b.public_key, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "COMMITTED") self.assertEqual( self.client.propose_add_task_admins( key=self.key2b, proposal_id=str(uuid4()), task_id=self.task_id1, user_id=self.key2b.public_key, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "INVALID", "The must not be any open proposal for the same change.") def test_19_confirm_add_task_admins(self): """Tests the ConfirmAddTaskAdmins validation rules Notes ConfirmAddTaskAdmins validation rules - The proposal exists and is open. - The txn signer is a Task Admin. """ self.assertEqual( self.client.confirm_add_task_admins( key=self.key1, proposal_id=str(uuid4()), task_id=self.task_id1, user_id=self.key2b.public_key, reason=uuid4().hex)[0]['status'], "INVALID", "The proposal must exist.") self.assertEqual( self.client.confirm_add_task_admins( key=self.key1, proposal_id=self.add_task_admins_proposal_id, task_id=self.task_id1, user_id=self.key2b.public_key, reason=uuid4().hex)[0]['status'], "COMMITTED") self.assertEqual( self.client.confirm_add_task_admins( key=self.key1, proposal_id=self.add_task_admins_proposal_id, task_id=self.task_id1, user_id=self.key2b.public_key, reason=uuid4().hex)[0]['status'], "INVALID", "The proposal must be open.") def test_20_reject_add_task_admins(self): """Tests the RejectAddTaskAdmins validation rules Notes RejectAddTaskAdmins validation rules - The proposal exists and is open. - The txn signer is a Task Admin. """ proposal_id = str(uuid4()) self.assertEqual( self.client.propose_add_task_admins( key=self.key2b, proposal_id=proposal_id, task_id=self.task_id1, user_id=self.key3b.public_key, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "COMMITTED") self.assertEqual( self.client.reject_add_task_admins( key=self.key1, proposal_id=str(uuid4()), task_id=self.task_id1, user_id=self.key2b.public_key, reason=uuid4().hex)[0]['status'], "INVALID", "The proposal must exist.") self.assertEqual( self.client.reject_add_task_admins( key=self.key1, proposal_id=proposal_id, task_id=self.task_id1, user_id=self.key3b.public_key, reason=uuid4().hex)[0]['status'], "COMMITTED") self.assertEqual( self.client.reject_add_task_admins( key=self.key1, proposal_id=proposal_id, task_id=self.task_id1, user_id=self.key3b.public_key, reason=uuid4().hex)[0]['status'], "INVALID", "The proposal must be open.") def test_21_propose_add_task_owners(self): """Tests the ProposeAddTaskOwners validation rules Notes: ProposeAddTaskOwners - The Task exists - The User exists - No open proposal exists for the same change. - The txn signer is the user or the Users manager. - The User is not already an Owner of the Task. """ self.assertEqual( self.client.propose_add_task_owners( key=self.key1, proposal_id=str(uuid4()), task_id=str(uuid4()), user_id=self.key1.public_key, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "INVALID", "The Task must exist.") self.assertEqual( self.client.propose_add_task_owners( key=self.key2a, proposal_id=str(uuid4()), task_id=self.task_id1, user_id=str(uuid4()), reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "INVALID", "The User must exist.") self.assertEqual( self.client.propose_add_task_owners( key=self.key2a, proposal_id=str(uuid4()), task_id=self.task_id1, user_id=self.key2a.public_key, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "INVALID", "The User must not already be an Owner of the Task") self.assertEqual( self.client.propose_add_task_owners( key=self.key3a, proposal_id=str(uuid4()), task_id=self.task_id1, user_id=self.key2b.public_key, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "INVALID", "The txn signer must be the User or the Users manager.") self.assertEqual( self.client.propose_add_task_owners( key=self.key1, proposal_id=self.add_task_owners_proposal_id, task_id=self.task_id1, user_id=self.key1.public_key, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "COMMITTED") self.assertEqual( self.client.propose_add_task_owners( key=self.key1, proposal_id=self.add_task_owners_proposal_id, task_id=self.task_id1, user_id=self.key1.public_key, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "INVALID", "There must not be an OPEN proposal for the same change.") def test_22_confirm_add_task_owners(self): """Tests the ConfirmAddTaskOwners validation rules Notes ConfirmAddTaskOwners validation rules - The proposal exists and is open. - The txn signer is a Task Admin. """ self.assertEqual( self.client.confirm_add_task_admins( key=self.key1, proposal_id=str(uuid4()), task_id=self.task_id1, user_id=self.key1.public_key, reason=uuid4().hex)[0]['status'], "INVALID", "The proposal must exist.") self.assertEqual( self.client.confirm_add_task_owners( key=self.key1, proposal_id=self.add_task_owners_proposal_id, task_id=self.task_id1, user_id=self.key1.public_key, reason=uuid4().hex)[0]['status'], "COMMITTED") self.assertEqual( self.client.confirm_add_task_owners( key=self.key1, proposal_id=self.add_task_owners_proposal_id, task_id=self.task_id1, user_id=self.key1.public_key, reason=uuid4().hex)[0]['status'], "INVALID", "The proposal must be open.") def test_23_reject_add_task_owners(self): """Tests the RejectAddTaskOwners validation rules Notes: RejectAddTaskOwners validation rules - The proposal exists and is open - The txn signer is a Task admin """ proposal_id = str(uuid4()) self.assertEqual( self.client.propose_add_task_owners( key=self.key2b, proposal_id=proposal_id, task_id=self.task_id1, user_id=self.key3b.public_key, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "COMMITTED") self.assertEqual( self.client.reject_add_task_owners( key=self.key1, proposal_id=str(uuid4()), task_id=self.task_id1, user_id=self.key2b.public_key, reason=uuid4().hex)[0]['status'], "INVALID", "The proposal must exist.") self.assertEqual( self.client.reject_add_task_owners( key=self.key1, proposal_id=proposal_id, task_id=self.task_id1, user_id=self.key3b.public_key, reason=uuid4().hex)[0]['status'], "COMMITTED") self.assertEqual( self.client.reject_add_task_owners( key=self.key1, proposal_id=proposal_id, task_id=self.task_id1, user_id=self.key3b.public_key, reason=uuid4().hex)[0]['status'], "INVALID", "The proposal must be open.") def test_24_propose_remove_task_admins(self): """Tests the ProposeRemoveTaskAdmins txn validation rules. Notes: ProposeRemoveTaskAdmins validation rules - No open proposal for the same change exists. - The user is an admin of the task. - The Task exists - The User exists. - The txn signer is the user or the user's manager. """ self.assertEqual( self.client.propose_delete_task_admins( key=self.key1, proposal_id=str(uuid4()), task_id=str(uuid4()), user_id=self.key1.public_key, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "INVALID", "The Task must exist.") self.assertEqual( self.client.propose_delete_task_admins( key=self.key1, proposal_id=str(uuid4()), task_id=self.task_id1, user_id=str(uuid4()), reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "INVALID", "The User must exist.") self.assertEqual( self.client.propose_delete_task_admins( key=self.key2a, proposal_id=str(uuid4()), task_id=self.task_id1, user_id=self.key2a.public_key, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "INVALID", "The User must be an Admin of the Task.") self.assertEqual( self.client.propose_delete_task_admins( key=self.key2b, proposal_id=str(uuid4()), task_id=self.task_id1, user_id=self.key1.public_key, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "INVALID", "The txn signer must be the User or the User's Manager.") self.assertEqual( self.client.propose_delete_task_admins( key=self.key1, proposal_id=self.remove_task_admins_proposal_id, task_id=self.task_id1, user_id=self.key1.public_key, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "COMMITTED") def test_25_propose_remove_task_owners(self): """Tests the ProposeRemoveTaskOwners txn validation rules. Notes: ProposeRemoveTaskAdmins validation rules - No open proposal for the same change exists. - The user is an Owner of the task. - The Task exists. - The User exists. - The txn signer is the user or the user's manager. """ self.assertEqual( self.client.propose_delete_task_owners( key=self.key1, proposal_id=str(uuid4()), task_id=str(uuid4()), user_id=self.key1.public_key, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "INVALID", "The Task must exist.") self.assertEqual( self.client.propose_delete_task_owners( key=self.key1, proposal_id=str(uuid4()), task_id=self.task_id1, user_id=str(uuid4()), reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "INVALID", "The User must exist.") self.assertEqual( self.client.propose_delete_task_owners( key=self.key3b, proposal_id=str(uuid4()), task_id=self.task_id1, user_id=self.key3b.public_key, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "INVALID", "The User must be an Owner of the Task.") self.assertEqual( self.client.propose_delete_task_owners( key=self.key2b, proposal_id=str(uuid4()), task_id=self.task_id1, user_id=self.key1.public_key, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "INVALID", "The txn signer must be the User or the User's Manager.") self.assertEqual( self.client.propose_delete_task_owners( key=self.key1, proposal_id=self.remove_task_owners_proposal_id, task_id=self.task_id1, user_id=self.key1.public_key, reason=uuid4().hex, metadata=uuid4().hex)[0]['status'], "COMMITTED") class RBACClient(object): def __init__(self, url): self._client = RestClient(base_url=url) def return_state(self): items = [] for item in self._client.list_state(subtree=addresser.NS)['data']: if addresser.address_is(item['address']) == addresser.AddressSpace.USER: user_container = user_state_pb2.UserContainer() user_container.ParseFromString(b64decode(item['data'])) items.append((user_container, addresser.AddressSpace.USER)) return items def create_user(self, key, name, user_name, user_id, manager_id=None): batch_list, signature = create_user(txn_key=key, batch_key=BATCHER_KEY, name=name, user_name=user_name, user_id=user_id, metadata=uuid4().hex, manager_id=manager_id) self._client.send_batches(batch_list) return self._client.get_statuses([signature], wait=10) def create_role(self, key, role_name, role_id, metadata, admins, owners): batch_list, signature = role_transaction_creation.create_role( txn_key=key, batch_key=BATCHER_KEY, role_name=role_name, role_id=role_id, metadata=metadata, admins=admins, owners=owners) self._client.send_batches(batch_list) return self._client.get_statuses([signature], wait=10) def propose_update_manager(self, key, proposal_id, user_id, new_manager_id, reason, metadata): batch_list, signature = manager_transaction_creation.propose_manager( txn_key=key, batch_key=BATCHER_KEY, proposal_id=proposal_id, user_id=user_id, new_manager_id=new_manager_id, reason=reason, metadata=metadata) self._client.send_batches(batch_list) return self._client.get_statuses([signature], wait=10) def confirm_update_manager(self, key, proposal_id, reason, user_id, manager_id): batch_list, signature = manager_transaction_creation.confirm_manager( txn_key=key, batch_key=BATCHER_KEY, proposal_id=proposal_id, reason=reason, user_id=user_id, manager_id=manager_id) self._client.send_batches(batch_list) return self._client.get_statuses([signature], wait=10) def reject_update_manager(self, key, proposal_id, reason, user_id, manager_id): batch_list, signature = manager_transaction_creation.reject_manager( txn_key=key, batch_key=BATCHER_KEY, proposal_id=proposal_id, reason=reason, user_id=user_id, manager_id=manager_id) self._client.send_batches(batch_list) return self._client.get_statuses([signature], wait=10) def propose_add_role_admins(self, key, proposal_id, role_id, user_id, reason, metadata): batch_list, signature = role_transaction_creation.propose_add_role_admins( txn_key=key, batch_key=BATCHER_KEY, proposal_id=proposal_id, role_id=role_id, user_id=user_id, reason=reason, metadata=metadata) self._client.send_batches(batch_list) return self._client.get_statuses([signature], wait=10) def confirm_add_role_admins(self, key, proposal_id, role_id, user_id, reason): batch_list, signature = role_transaction_creation.confirm_add_role_admins( txn_key=key, batch_key=BATCHER_KEY, proposal_id=proposal_id, role_id=role_id, user_id=user_id, reason=reason) self._client.send_batches(batch_list) return self._client.get_statuses([signature], wait=10) def reject_add_role_admins(self, key, proposal_id, role_id, user_id, reason): batch_list, signature = role_transaction_creation.reject_add_role_admins( txn_key=key, batch_key=BATCHER_KEY, proposal_id=proposal_id, role_id=role_id, user_id=user_id, reason=reason) self._client.send_batches(batch_list) return self._client.get_statuses([signature], wait=10) def propose_add_role_owners(self, key, proposal_id, role_id, user_id, reason, metadata): batch_list, signature = role_transaction_creation.propose_add_role_owners( txn_key=key, batch_key=BATCHER_KEY, proposal_id=proposal_id, role_id=role_id, user_id=user_id, reason=reason, metadata=metadata) self._client.send_batches(batch_list) return self._client.get_statuses([signature], wait=10) def confirm_add_role_owners(self, key, proposal_id, role_id, user_id, reason): batch_list, signature = role_transaction_creation.confirm_add_role_owners( txn_key=key, batch_key=BATCHER_KEY, proposal_id=proposal_id, role_id=role_id, user_id=user_id, reason=reason) self._client.send_batches(batch_list) return self._client.get_statuses([signature], wait=10) def reject_add_role_owners(self, key, proposal_id, role_id, user_id, reason): batch_list, signature = role_transaction_creation.reject_add_role_owners( txn_key=key, batch_key=BATCHER_KEY, proposal_id=proposal_id, role_id=role_id, user_id=user_id, reason=reason) self._client.send_batches(batch_list) return self._client.get_statuses([signature], wait=10) def propose_add_role_members(self, key, proposal_id, role_id, user_id, reason, metadata): batch_list, signature = role_transaction_creation.propose_add_role_members( txn_key=key, batch_key=BATCHER_KEY, proposal_id=proposal_id, role_id=role_id, user_id=user_id, reason=reason, metadata=metadata) self._client.send_batches(batch_list) return self._client.get_statuses([signature], wait=10) def confirm_add_role_members(self, key, proposal_id, role_id, user_id, reason): batch_list, signature = role_transaction_creation.confirm_add_role_members( txn_key=key, batch_key=BATCHER_KEY, proposal_id=proposal_id, role_id=role_id, user_id=user_id, reason=reason) self._client.send_batches(batch_list) return self._client.get_statuses([signature], wait=10) def reject_add_role_members(self, key, proposal_id, role_id, user_id, reason): batch_list, signature = role_transaction_creation.reject_add_role_members( txn_key=key, batch_key=BATCHER_KEY, proposal_id=proposal_id, role_id=role_id, user_id=user_id, reason=reason) self._client.send_batches(batch_list) return self._client.get_statuses([signature], wait=10) def propose_add_role_tasks(self, key, proposal_id, role_id, task_id, reason, metadata): batch_list, signature = role_transaction_creation.propose_add_role_tasks( txn_key=key, batch_key=BATCHER_KEY, proposal_id=proposal_id, role_id=role_id, task_id=task_id, reason=reason, metadata=metadata) self._client.send_batches(batch_list) return self._client.get_statuses([signature], wait=10) def confirm_add_role_tasks(self, key, proposal_id, role_id, task_id, reason): batch_list, signature = role_transaction_creation.confirm_add_role_tasks( txn_key=key, batch_key=BATCHER_KEY, proposal_id=proposal_id, role_id=role_id, task_id=task_id, reason=reason) self._client.send_batches(batch_list) return self._client.get_statuses([signature], wait=10) def reject_add_role_tasks(self, key, proposal_id, role_id, task_id, reason): batch_list, signature = role_transaction_creation.reject_add_role_tasks( txn_key=key, batch_key=BATCHER_KEY, proposal_id=proposal_id, role_id=role_id, task_id=task_id, reason=reason) self._client.send_batches(batch_list) return self._client.get_statuses([signature], wait=10) def create_task(self, key, task_id, task_name, admins, owners, metadata): batch_list, signature = task_transaction_creation.create_task( txn_key=key, batch_key=BATCHER_KEY, task_id=task_id, task_name=task_name, admins=admins, owners=owners, metadata=metadata) self._client.send_batches(batch_list) return self._client.get_statuses([signature], wait=10) def propose_add_task_admins(self, key, proposal_id, task_id, user_id, reason, metadata): batch_list, signature = task_transaction_creation.propose_add_task_admins( txn_key=key, batch_key=BATCHER_KEY, proposal_id=proposal_id, task_id=task_id, user_id=user_id, reason=reason, metadata=metadata) self._client.send_batches(batch_list) return self._client.get_statuses([signature], wait=10) def confirm_add_task_admins(self, key, proposal_id, task_id, user_id, reason): batch_list, signature = task_transaction_creation.confirm_add_task_admins( txn_key=key, batch_key=BATCHER_KEY, proposal_id=proposal_id, task_id=task_id, user_id=user_id, reason=reason) self._client.send_batches(batch_list) return self._client.get_statuses([signature], wait=10) def reject_add_task_admins(self, key, proposal_id, task_id, user_id, reason): batch_list, signature = task_transaction_creation.reject_add_task_admins( txn_key=key, batch_key=BATCHER_KEY, proposal_id=proposal_id, task_id=task_id, user_id=user_id, reason=reason) self._client.send_batches(batch_list) return self._client.get_statuses([signature], wait=10) def propose_add_task_owners(self, key, proposal_id, task_id, user_id, reason, metadata): batch_list, signature = task_transaction_creation.propose_add_task_owner( txn_key=key, batch_key=BATCHER_KEY, proposal_id=proposal_id, task_id=task_id, user_id=user_id, reason=reason, metadata=metadata) self._client.send_batches(batch_list) return self._client.get_statuses([signature], wait=10) def confirm_add_task_owners(self, key, proposal_id, task_id, user_id, reason): batch_list, signature = task_transaction_creation.confirm_add_task_owners( txn_key=key, batch_key=BATCHER_KEY, proposal_id=proposal_id, task_id=task_id, user_id=user_id, reason=reason) self._client.send_batches(batch_list) return self._client.get_statuses([signature], wait=10) def reject_add_task_owners(self, key, proposal_id, task_id, user_id, reason): batch_list, signature = task_transaction_creation.reject_add_task_owners( txn_key=key, batch_key=BATCHER_KEY, proposal_id=proposal_id, task_id=task_id, user_id=user_id, reason=reason) self._client.send_batches(batch_list) return self._client.get_statuses([signature], wait=10) def propose_delete_task_admins(self, key, proposal_id, task_id, user_id, reason, metadata): batch_list, signature = task_transaction_creation.propose_remove_task_admins( txn_key=key, batch_key=BATCHER_KEY, proposal_id=proposal_id, task_id=task_id, user_id=user_id, reason=reason, metadata=metadata) self._client.send_batches(batch_list) return self._client.get_statuses([signature], wait=10) def propose_delete_task_owners(self, key, proposal_id, task_id, user_id, reason, metadata): batch_list, signature = task_transaction_creation.propose_remove_task_owners( txn_key=key, batch_key=BATCHER_KEY, proposal_id=proposal_id, task_id=task_id, user_id=user_id, reason=reason, metadata=metadata) self._client.send_batches(batch_list) return self._client.get_statuses([signature], wait=10) def make_key_and_name(): context = sawtooth_signing.create_context('secp256k1') private_key = context.new_random_private_key() pubkey = context.get_public_key(private_key) key = Key(public_key=pubkey.as_hex(), private_key=private_key.as_hex()) return key, uuid4().hex

35.841769

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0.061117

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0.773707

0.760918

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78,601

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35.85812

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0.116055

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106e80a932b1acd6b64965a70b016ff30ceac04e

170,378

py

Python

msgraph-cli-extensions/beta/identitysignins_beta/azext_identitysignins_beta/generated/_params.py

thewahome/msgraph-cli

33127d9efa23a0e5f5303c93242fbdbb73348671

[ "MIT" ]

null

msgraph-cli-extensions/beta/identitysignins_beta/azext_identitysignins_beta/generated/_params.py

thewahome/msgraph-cli

33127d9efa23a0e5f5303c93242fbdbb73348671

[ "MIT" ]

null

msgraph-cli-extensions/beta/identitysignins_beta/azext_identitysignins_beta/generated/_params.py

thewahome/msgraph-cli

33127d9efa23a0e5f5303c93242fbdbb73348671

[ "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 # pylint: disable=too-many-statements from msgraph.cli.core.commands.parameters import ( get_three_state_flag, get_enum_type ) from msgraph.cli.core.commands.validators import validate_file_or_dict from azext_identitysignins_beta.action import ( AddNamedLocations, AddGrantControls, AddApplicationEnforcedRestrictions, AddCloudAppSecurity, AddPersistentBrowser, AddSignInFrequency, AddApplications, AddClientApplications, AddDevices, AddDeviceStates, AddLocations, AddPlatforms, AddUsers, AddDataLossPreventionPolicies, AddSensitivityPolicySettings, AddAssignedPolicies, AddAutoLabeling, AddLabelActions, AddResults, AddApplication, AddClassifyText, AddNotificationInfo, AddCurrentLabel, AddDowngradeJustification, AddExtendedProperties, AddMetadata, AddClassificationResults, AddB2CAuthenticationMethodsPolicy, AddActivityBasedTimeoutPolicies, AddClaimsMappingPolicies, AddHomeRealmDiscoveryPolicies, AddPrivateLinkResourcePolicies, AddTokenIssuancePolicies, AddTokenLifetimePolicies, AddIdentitySecurityDefaultsEnforcementPolicy, AddApplyActions, AddReviewers, AddAppliesTo, AddDefaultUserRolePermissions, AddExcludes, AddIncludes, AddGeoCoordinates, AddActivity, AddPolicies, AddKeys, AddEmailMethods, AddFido2Methods, AddMethods, AddMicrosoftAuthenticatorMethods, AddOathMethods, AddOperations, AddPasswordlessMicrosoftAuthenticatorMethods, AddPasswordMethods, AddPhoneMethods, AddSecurityQuestionMethods, AddTemporaryAccessPassMethods ) def load_arguments(self, _): with self.argument_context('identitysignins data-policy-operation-data-policy-operation create-data-policy-operation') as c: c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('completed_date_time', help='Represents when the request for this data policy operation was ' 'completed, in UTC time, using the ISO 8601 format. For example, midnight UTC on Jan 1, 2014 would ' 'look like this: \'2014-01-01T00:00:00Z\'. Null until the operation completes.') c.argument('progress', type=float, help='Specifies the progress of an operation.') c.argument('status', arg_type=get_enum_type(['notStarted', 'running', 'complete', 'failed', 'unknownFutureValue']), help='') c.argument('storage_location', type=str, help='The URL location to where data is being exported for export ' 'requests.') c.argument('submitted_date_time', help='Represents when the request for this data operation was submitted, in ' 'UTC time, using the ISO 8601 format. For example, midnight UTC on Jan 1, 2014 would look like ' 'this: \'2014-01-01T00:00:00Z\'') c.argument('user_id', type=str, help='The id for the user on whom the operation is performed.') with self.argument_context('identitysignins data-policy-operation-data-policy-operation delete-data-policy-operation') as c: c.argument('data_policy_operation_id', type=str, help='key: id of dataPolicyOperation') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins data-policy-operation-data-policy-operation list-data-policy-operation') as c: c.argument('orderby', nargs='+', help='Order items by property values') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins data-policy-operation-data-policy-operation show-data-policy-operation') as c: c.argument('data_policy_operation_id', type=str, help='key: id of dataPolicyOperation') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins data-policy-operation-data-policy-operation update-data-policy-operation') as c: c.argument('data_policy_operation_id', type=str, help='key: id of dataPolicyOperation') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('completed_date_time', help='Represents when the request for this data policy operation was ' 'completed, in UTC time, using the ISO 8601 format. For example, midnight UTC on Jan 1, 2014 would ' 'look like this: \'2014-01-01T00:00:00Z\'. Null until the operation completes.') c.argument('progress', type=float, help='Specifies the progress of an operation.') c.argument('status', arg_type=get_enum_type(['notStarted', 'running', 'complete', 'failed', 'unknownFutureValue']), help='') c.argument('storage_location', type=str, help='The URL location to where data is being exported for export ' 'requests.') c.argument('submitted_date_time', help='Represents when the request for this data operation was submitted, in ' 'UTC time, using the ISO 8601 format. For example, midnight UTC on Jan 1, 2014 would look like ' 'this: \'2014-01-01T00:00:00Z\'') c.argument('user_id', type=str, help='The id for the user on whom the operation is performed.') with self.argument_context('identitysignins identity create-user-flow') as c: c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('user_flow_type', arg_type=get_enum_type(['signUp', 'signIn', 'signUpOrSignIn', 'passwordReset', 'profileUpdate', 'resourceOwner', 'unknownFutureValue']), help='') c.argument('user_flow_type_version', type=float, help='') with self.argument_context('identitysignins identity delete-conditional-access') as c: c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins identity delete-user-flow') as c: c.argument('identity_user_flow_id', type=str, help='key: id of identityUserFlow') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins identity list-user-flow') as c: c.argument('orderby', nargs='+', help='Order items by property values') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins identity show-conditional-access') as c: c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins identity show-user-flow') as c: c.argument('identity_user_flow_id', type=str, help='key: id of identityUserFlow') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins identity update-conditional-access') as c: c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('named_locations', action=AddNamedLocations, nargs='+', help='') c.argument('policies', type=validate_file_or_dict, help=' Expected value: json-string/@json-file.') with self.argument_context('identitysignins identity update-user-flow') as c: c.argument('identity_user_flow_id', type=str, help='key: id of identityUserFlow') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('user_flow_type', arg_type=get_enum_type(['signUp', 'signIn', 'signUpOrSignIn', 'passwordReset', 'profileUpdate', 'resourceOwner', 'unknownFutureValue']), help='') c.argument('user_flow_type_version', type=float, help='') with self.argument_context('identitysignins identity-conditional-access create-named-location') as c: c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('created_date_time', help='The Timestamp type represents creation date and time of the location ' 'using ISO 8601 format and is always in UTC time. For example, midnight UTC on Jan 1, 2014 would ' 'look like this: \'2014-01-01T00:00:00Z\'. Read-only.') c.argument('display_name', type=str, help='Human-readable name of the location.') c.argument('modified_date_time', help='The Timestamp type represents last modified date and time of the ' 'location using ISO 8601 format and is always in UTC time. For example, midnight UTC on Jan 1, 2014 ' 'would look like this: \'2014-01-01T00:00:00Z\'. Read-only.') with self.argument_context('identitysignins identity-conditional-access create-policy') as c: c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('created_date_time', help='The Timestamp type represents date and time information using ISO 8601 ' 'format and is always in UTC time. For example, midnight UTC on Jan 1, 2014 would look like this: ' '\'2014-01-01T00:00:00Z\'. Readonly.') c.argument('description', type=str, help='') c.argument('display_name', type=str, help='Specifies a display name for the conditionalAccessPolicy object.') c.argument('grant_controls', action=AddGrantControls, nargs='+', help='conditionalAccessGrantControls') c.argument('modified_date_time', help='The Timestamp type represents date and time information using ISO 8601 ' 'format and is always in UTC time. For example, midnight UTC on Jan 1, 2014 would look like this: ' '\'2014-01-01T00:00:00Z\'. Readonly.') c.argument('state', arg_type=get_enum_type(['enabled', 'disabled', 'enabledForReportingButNotEnforced']), help='') c.argument('application_enforced_restrictions', action=AddApplicationEnforcedRestrictions, nargs='+', help='applicationEnforcedRestrictionsSessionControl', arg_group='Session Controls') c.argument('cloud_app_security', action=AddCloudAppSecurity, nargs='+', help='cloudAppSecuritySessionControl', arg_group='Session Controls') c.argument('persistent_browser', action=AddPersistentBrowser, nargs='+', help='persistentBrowserSessionControl', arg_group='Session Controls') c.argument('sign_in_frequency', action=AddSignInFrequency, nargs='+', help='signInFrequencySessionControl', arg_group='Session Controls') c.argument('applications', action=AddApplications, nargs='+', help='conditionalAccessApplications', arg_group='Conditions') c.argument('client_applications', action=AddClientApplications, nargs='+', help='conditionalAccessClientApplications', arg_group='Conditions') c.argument('client_app_types', nargs='+', help='Client application types included in the policy. Possible ' 'values are: all, browser, mobileAppsAndDesktopClients, exchangeActiveSync, easSupported, other.', arg_group='Conditions') c.argument('devices', action=AddDevices, nargs='+', help='conditionalAccessDevices', arg_group='Conditions') c.argument('device_states', action=AddDeviceStates, nargs='+', help='conditionalAccessDeviceStates', arg_group='Conditions') c.argument('locations', action=AddLocations, nargs='+', help='conditionalAccessLocations', arg_group='Conditions') c.argument('platforms', action=AddPlatforms, nargs='+', help='conditionalAccessPlatforms', arg_group='Conditions') c.argument('sign_in_risk_levels', nargs='+', help='Risk levels included in the policy. Possible values are: ' 'low, medium, high, none.', arg_group='Conditions') c.argument('user_risk_levels', nargs='+', help='', arg_group='Conditions') c.argument('users', action=AddUsers, nargs='+', help='conditionalAccessUsers', arg_group='Conditions') with self.argument_context('identitysignins identity-conditional-access delete-named-location') as c: c.argument('named_location_id', type=str, help='key: id of namedLocation') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins identity-conditional-access delete-policy') as c: c.argument('conditional_access_policy_id', type=str, help='key: id of conditionalAccessPolicy') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins identity-conditional-access list-named-location') as c: c.argument('orderby', nargs='+', help='Order items by property values') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins identity-conditional-access list-policy') as c: c.argument('orderby', nargs='+', help='Order items by property values') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins identity-conditional-access show-named-location') as c: c.argument('named_location_id', type=str, help='key: id of namedLocation') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins identity-conditional-access show-policy') as c: c.argument('conditional_access_policy_id', type=str, help='key: id of conditionalAccessPolicy') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins identity-conditional-access update-named-location') as c: c.argument('named_location_id', type=str, help='key: id of namedLocation') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('created_date_time', help='The Timestamp type represents creation date and time of the location ' 'using ISO 8601 format and is always in UTC time. For example, midnight UTC on Jan 1, 2014 would ' 'look like this: \'2014-01-01T00:00:00Z\'. Read-only.') c.argument('display_name', type=str, help='Human-readable name of the location.') c.argument('modified_date_time', help='The Timestamp type represents last modified date and time of the ' 'location using ISO 8601 format and is always in UTC time. For example, midnight UTC on Jan 1, 2014 ' 'would look like this: \'2014-01-01T00:00:00Z\'. Read-only.') with self.argument_context('identitysignins identity-conditional-access update-policy') as c: c.argument('conditional_access_policy_id', type=str, help='key: id of conditionalAccessPolicy') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('created_date_time', help='The Timestamp type represents date and time information using ISO 8601 ' 'format and is always in UTC time. For example, midnight UTC on Jan 1, 2014 would look like this: ' '\'2014-01-01T00:00:00Z\'. Readonly.') c.argument('description', type=str, help='') c.argument('display_name', type=str, help='Specifies a display name for the conditionalAccessPolicy object.') c.argument('grant_controls', action=AddGrantControls, nargs='+', help='conditionalAccessGrantControls') c.argument('modified_date_time', help='The Timestamp type represents date and time information using ISO 8601 ' 'format and is always in UTC time. For example, midnight UTC on Jan 1, 2014 would look like this: ' '\'2014-01-01T00:00:00Z\'. Readonly.') c.argument('state', arg_type=get_enum_type(['enabled', 'disabled', 'enabledForReportingButNotEnforced']), help='') c.argument('application_enforced_restrictions', action=AddApplicationEnforcedRestrictions, nargs='+', help='applicationEnforcedRestrictionsSessionControl', arg_group='Session Controls') c.argument('cloud_app_security', action=AddCloudAppSecurity, nargs='+', help='cloudAppSecuritySessionControl', arg_group='Session Controls') c.argument('persistent_browser', action=AddPersistentBrowser, nargs='+', help='persistentBrowserSessionControl', arg_group='Session Controls') c.argument('sign_in_frequency', action=AddSignInFrequency, nargs='+', help='signInFrequencySessionControl', arg_group='Session Controls') c.argument('applications', action=AddApplications, nargs='+', help='conditionalAccessApplications', arg_group='Conditions') c.argument('client_applications', action=AddClientApplications, nargs='+', help='conditionalAccessClientApplications', arg_group='Conditions') c.argument('client_app_types', nargs='+', help='Client application types included in the policy. Possible ' 'values are: all, browser, mobileAppsAndDesktopClients, exchangeActiveSync, easSupported, other.', arg_group='Conditions') c.argument('devices', action=AddDevices, nargs='+', help='conditionalAccessDevices', arg_group='Conditions') c.argument('device_states', action=AddDeviceStates, nargs='+', help='conditionalAccessDeviceStates', arg_group='Conditions') c.argument('locations', action=AddLocations, nargs='+', help='conditionalAccessLocations', arg_group='Conditions') c.argument('platforms', action=AddPlatforms, nargs='+', help='conditionalAccessPlatforms', arg_group='Conditions') c.argument('sign_in_risk_levels', nargs='+', help='Risk levels included in the policy. Possible values are: ' 'low, medium, high, none.', arg_group='Conditions') c.argument('user_risk_levels', nargs='+', help='', arg_group='Conditions') c.argument('users', action=AddUsers, nargs='+', help='conditionalAccessUsers', arg_group='Conditions') with self.argument_context('identitysignins identity-provider-identity-provider create-identity-provider') as c: c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('client_id', type=str, help='') c.argument('client_secret', type=str, help='') c.argument('name', type=str, help='') c.argument('type_', options_list=['--type'], type=str, help='') with self.argument_context('identitysignins identity-provider-identity-provider delete-identity-provider') as c: c.argument('identity_provider_id', type=str, help='key: id of identityProvider') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins identity-provider-identity-provider list-identity-provider') as c: c.argument('orderby', nargs='+', help='Order items by property values') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins identity-provider-identity-provider show-identity-provider') as c: c.argument('identity_provider_id', type=str, help='key: id of identityProvider') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins identity-provider-identity-provider update-identity-provider') as c: c.argument('identity_provider_id', type=str, help='key: id of identityProvider') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('client_id', type=str, help='') c.argument('client_secret', type=str, help='') c.argument('name', type=str, help='') c.argument('type_', options_list=['--type'], type=str, help='') with self.argument_context('identitysignins information-protection-information-protection show-information-protection') as c: c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins information-protection-information-protection update-information-protection') as c: c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('data_loss_prevention_policies', action=AddDataLossPreventionPolicies, nargs='+', help='') c.argument('sensitivity_labels', type=validate_file_or_dict, help=' Expected value: json-string/@json-file.') c.argument('sensitivity_policy_settings', action=AddSensitivityPolicySettings, nargs='+', help='sensitivityPolicySettings') c.argument('threat_assessment_requests', type=validate_file_or_dict, help=' Expected value: ' 'json-string/@json-file.') c.argument('microsoft_graph_entity_id', type=str, help='Read-only.', arg_group='Policy') c.argument('labels', type=validate_file_or_dict, help=' Expected value: json-string/@json-file.', arg_group='Policy') with self.argument_context('identitysignins information-protection create-data-loss-prevention-policy') as c: c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('name', type=str, help='') with self.argument_context('identitysignins information-protection create-sensitivity-label') as c: c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('applicable_to', arg_type=get_enum_type(['email', 'site', 'unifiedGroup', 'unknownFutureValue']), help='') c.argument('application_mode', arg_type=get_enum_type(['manual', 'automatic', 'recommended']), help='') c.argument('assigned_policies', action=AddAssignedPolicies, nargs='+', help='') c.argument('auto_labeling', action=AddAutoLabeling, nargs='+', help='autoLabeling') c.argument('description', type=str, help='') c.argument('display_name', type=str, help='') c.argument('is_default', arg_type=get_three_state_flag(), help='') c.argument('is_endpoint_protection_enabled', arg_type=get_three_state_flag(), help='') c.argument('label_actions', action=AddLabelActions, nargs='+', help='') c.argument('name', type=str, help='') c.argument('priority', type=int, help='') c.argument('tool_tip', type=str, help='') c.argument('sublabels', type=validate_file_or_dict, help=' Expected value: json-string/@json-file.') with self.argument_context('identitysignins information-protection create-threat-assessment-request') as c: c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('category', arg_type=get_enum_type(['undefined', 'spam', 'phishing', 'malware', 'unknownFutureValue']), help='') c.argument('content_type', arg_type=get_enum_type(['mail', 'url', 'file']), help='') c.argument('created_date_time', help='The Timestamp type represents date and time information using ISO 8601 ' 'format and is always in UTC time. For example, midnight UTC on Jan 1, 2014 would look like this: ' '\'2014-01-01T00:00:00Z\'.') c.argument('expected_assessment', arg_type=get_enum_type(['block', 'unblock']), help='') c.argument('request_source', arg_type=get_enum_type(['undefined', 'user', 'administrator']), help='') c.argument('status', arg_type=get_enum_type(['pending', 'completed']), help='') c.argument('results', action=AddResults, nargs='+', help='A collection of threat assessment results. ' 'Read-only. By default, a GET /threatAssessmentRequests/{id} does not return this property unless ' 'you apply $expand on it.') c.argument('application', action=AddApplication, nargs='+', help='identity', arg_group='Created By') c.argument('device', action=AddApplication, nargs='+', help='identity', arg_group='Created By') c.argument('user', action=AddApplication, nargs='+', help='identity', arg_group='Created By') with self.argument_context('identitysignins information-protection delete-data-loss-prevention-policy') as c: c.argument('data_loss_prevention_policy_id', type=str, help='key: id of dataLossPreventionPolicy') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins information-protection delete-policy') as c: c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins information-protection delete-sensitivity-label') as c: c.argument('sensitivity_label_id', type=str, help='key: id of sensitivityLabel') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins information-protection delete-sensitivity-policy-setting') as c: c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins information-protection delete-threat-assessment-request') as c: c.argument('threat_assessment_request_id', type=str, help='key: id of threatAssessmentRequest') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins information-protection evaluate-label-and-policy') as c: c.argument('classify_text', action=AddClassifyText, nargs='+', help='textClassificationRequest') c.argument('evaluation_input', type=validate_file_or_dict, help='dlpEvaluationInput Expected value: ' 'json-string/@json-file.', arg_group='Evaluate Data Loss Prevention Policies') c.argument('notification_info', action=AddNotificationInfo, nargs='+', help='dlpNotification', arg_group='Evaluate Data Loss Prevention Policies') c.argument('target', type=str, help='', arg_group='Evaluate Data Loss Prevention Policies') c.argument('current_label', action=AddCurrentLabel, nargs='+', help='currentLabel', arg_group='Evaluate ' 'Sensitivity Labels') c.argument('discovered_sensitive_types', type=validate_file_or_dict, help=' Expected value: ' 'json-string/@json-file.', arg_group='Evaluate Sensitivity Labels') with self.argument_context('identitysignins information-protection list-data-loss-prevention-policy') as c: c.argument('orderby', nargs='+', help='Order items by property values') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins information-protection list-sensitivity-label') as c: c.argument('orderby', nargs='+', help='Order items by property values') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins information-protection list-threat-assessment-request') as c: c.argument('orderby', nargs='+', help='Order items by property values') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins information-protection show-data-loss-prevention-policy') as c: c.argument('data_loss_prevention_policy_id', type=str, help='key: id of dataLossPreventionPolicy') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins information-protection show-policy') as c: c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins information-protection show-sensitivity-label') as c: c.argument('sensitivity_label_id', type=str, help='key: id of sensitivityLabel') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins information-protection show-sensitivity-policy-setting') as c: c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins information-protection show-threat-assessment-request') as c: c.argument('threat_assessment_request_id', type=str, help='key: id of threatAssessmentRequest') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins information-protection update-data-loss-prevention-policy') as c: c.argument('data_loss_prevention_policy_id', type=str, help='key: id of dataLossPreventionPolicy') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('name', type=str, help='') with self.argument_context('identitysignins information-protection update-policy') as c: c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('labels', type=validate_file_or_dict, help=' Expected value: json-string/@json-file.') with self.argument_context('identitysignins information-protection update-sensitivity-label') as c: c.argument('sensitivity_label_id', type=str, help='key: id of sensitivityLabel') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('applicable_to', arg_type=get_enum_type(['email', 'site', 'unifiedGroup', 'unknownFutureValue']), help='') c.argument('application_mode', arg_type=get_enum_type(['manual', 'automatic', 'recommended']), help='') c.argument('assigned_policies', action=AddAssignedPolicies, nargs='+', help='') c.argument('auto_labeling', action=AddAutoLabeling, nargs='+', help='autoLabeling') c.argument('description', type=str, help='') c.argument('display_name', type=str, help='') c.argument('is_default', arg_type=get_three_state_flag(), help='') c.argument('is_endpoint_protection_enabled', arg_type=get_three_state_flag(), help='') c.argument('label_actions', action=AddLabelActions, nargs='+', help='') c.argument('name', type=str, help='') c.argument('priority', type=int, help='') c.argument('tool_tip', type=str, help='') c.argument('sublabels', type=validate_file_or_dict, help=' Expected value: json-string/@json-file.') with self.argument_context('identitysignins information-protection update-sensitivity-policy-setting') as c: c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('applicable_to', arg_type=get_enum_type(['email', 'site', 'unifiedGroup', 'unknownFutureValue']), help='') c.argument('downgrade_sensitivity_requires_justification', arg_type=get_three_state_flag(), help='') c.argument('help_web_url', type=str, help='') c.argument('is_mandatory', arg_type=get_three_state_flag(), help='') with self.argument_context('identitysignins information-protection update-threat-assessment-request') as c: c.argument('threat_assessment_request_id', type=str, help='key: id of threatAssessmentRequest') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('category', arg_type=get_enum_type(['undefined', 'spam', 'phishing', 'malware', 'unknownFutureValue']), help='') c.argument('content_type', arg_type=get_enum_type(['mail', 'url', 'file']), help='') c.argument('created_date_time', help='The Timestamp type represents date and time information using ISO 8601 ' 'format and is always in UTC time. For example, midnight UTC on Jan 1, 2014 would look like this: ' '\'2014-01-01T00:00:00Z\'.') c.argument('expected_assessment', arg_type=get_enum_type(['block', 'unblock']), help='') c.argument('request_source', arg_type=get_enum_type(['undefined', 'user', 'administrator']), help='') c.argument('status', arg_type=get_enum_type(['pending', 'completed']), help='') c.argument('results', action=AddResults, nargs='+', help='A collection of threat assessment results. ' 'Read-only. By default, a GET /threatAssessmentRequests/{id} does not return this property unless ' 'you apply $expand on it.') c.argument('application', action=AddApplication, nargs='+', help='identity', arg_group='Created By') c.argument('device', action=AddApplication, nargs='+', help='identity', arg_group='Created By') c.argument('user', action=AddApplication, nargs='+', help='identity', arg_group='Created By') with self.argument_context('identitysignins information-protection-data-loss-prevention-policy evaluate') as c: c.argument('target', type=str, help='') c.argument('author', type=str, help='', arg_group='Notification Info') c.argument('access_scope', arg_type=get_enum_type(['inOrganization', 'notInOrganization']), help='', arg_group='Evaluation Input') c.argument('current_label', action=AddCurrentLabel, nargs='+', help='currentLabel', arg_group='Evaluation ' 'Input') c.argument('discovered_sensitive_types', type=validate_file_or_dict, help=' Expected value: ' 'json-string/@json-file.', arg_group='Evaluation Input') with self.argument_context('identitysignins information-protection-policy create-label') as c: c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('color', type=str, help='') c.argument('description', type=str, help='') c.argument('is_active', arg_type=get_three_state_flag(), help='') c.argument('name', type=str, help='') c.argument('parent', type=validate_file_or_dict, help='parentLabelDetails Expected value: ' 'json-string/@json-file.') c.argument('sensitivity', type=int, help='') c.argument('tooltip', type=str, help='') with self.argument_context('identitysignins information-protection-policy delete-label') as c: c.argument('information_protection_label_id', type=str, help='key: id of informationProtectionLabel') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins information-protection-policy list-label') as c: c.argument('orderby', nargs='+', help='Order items by property values') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins information-protection-policy show-label') as c: c.argument('information_protection_label_id', type=str, help='key: id of informationProtectionLabel') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins information-protection-policy update-label') as c: c.argument('information_protection_label_id', type=str, help='key: id of informationProtectionLabel') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('color', type=str, help='') c.argument('description', type=str, help='') c.argument('is_active', arg_type=get_three_state_flag(), help='') c.argument('name', type=str, help='') c.argument('parent', type=validate_file_or_dict, help='parentLabelDetails Expected value: ' 'json-string/@json-file.') c.argument('sensitivity', type=int, help='') c.argument('tooltip', type=str, help='') with self.argument_context('identitysignins information-protection-policy-label evaluate-application') as c: c.argument('assignment_method', arg_type=get_enum_type(['standard', 'privileged', 'auto']), help='', arg_group='Labeling Options') c.argument('downgrade_justification', action=AddDowngradeJustification, nargs='+', help='downgradeJustification', arg_group='Labeling Options') c.argument('extended_properties', action=AddExtendedProperties, nargs='+', help='', arg_group='Labeling ' 'Options') c.argument('label_id', help='', arg_group='Labeling Options') c.argument('format_', options_list=['--format'], arg_type=get_enum_type(['default', 'email']), help='', arg_group='Content Info') c.argument('identifier', type=str, help='', arg_group='Content Info') c.argument('metadata', action=AddMetadata, nargs='+', help='', arg_group='Content Info') c.argument('state', arg_type=get_enum_type(['rest', 'motion', 'use']), help='', arg_group='Content Info') with self.argument_context('identitysignins information-protection-policy-label evaluate-classification-result') as c: c.argument('classification_results', action=AddClassificationResults, nargs='+', help='') c.argument('format_', options_list=['--format'], arg_type=get_enum_type(['default', 'email']), help='', arg_group='Content Info') c.argument('identifier', type=str, help='', arg_group='Content Info') c.argument('metadata', action=AddMetadata, nargs='+', help='', arg_group='Content Info') c.argument('state', arg_type=get_enum_type(['rest', 'motion', 'use']), help='', arg_group='Content Info') with self.argument_context('identitysignins information-protection-policy-label evaluate-removal') as c: c.argument('downgrade_justification', action=AddDowngradeJustification, nargs='+', help='downgradeJustification') c.argument('format_', options_list=['--format'], arg_type=get_enum_type(['default', 'email']), help='', arg_group='Content Info') c.argument('identifier', type=str, help='', arg_group='Content Info') c.argument('metadata', action=AddMetadata, nargs='+', help='', arg_group='Content Info') c.argument('state', arg_type=get_enum_type(['rest', 'motion', 'use']), help='', arg_group='Content Info') with self.argument_context('identitysignins information-protection-policy-label extract-label') as c: c.argument('format_', options_list=['--format'], arg_type=get_enum_type(['default', 'email']), help='', arg_group='Content Info') c.argument('identifier', type=str, help='', arg_group='Content Info') c.argument('metadata', action=AddMetadata, nargs='+', help='', arg_group='Content Info') c.argument('state', arg_type=get_enum_type(['rest', 'motion', 'use']), help='', arg_group='Content Info') with self.argument_context('identitysignins information-protection-sensitivity-label create-sublabel') as c: c.argument('sensitivity_label_id', type=str, help='key: id of sensitivityLabel') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('applicable_to', arg_type=get_enum_type(['email', 'site', 'unifiedGroup', 'unknownFutureValue']), help='') c.argument('application_mode', arg_type=get_enum_type(['manual', 'automatic', 'recommended']), help='') c.argument('assigned_policies', action=AddAssignedPolicies, nargs='+', help='') c.argument('auto_labeling', action=AddAutoLabeling, nargs='+', help='autoLabeling') c.argument('description', type=str, help='') c.argument('display_name', type=str, help='') c.argument('is_default', arg_type=get_three_state_flag(), help='') c.argument('is_endpoint_protection_enabled', arg_type=get_three_state_flag(), help='') c.argument('label_actions', action=AddLabelActions, nargs='+', help='') c.argument('name', type=str, help='') c.argument('priority', type=int, help='') c.argument('tool_tip', type=str, help='') c.argument('sublabels', type=validate_file_or_dict, help=' Expected value: json-string/@json-file.') with self.argument_context('identitysignins information-protection-sensitivity-label delete-sublabel') as c: c.argument('sensitivity_label_id', type=str, help='key: id of sensitivityLabel') c.argument('sensitivity_label_id1', type=str, help='key: id of sensitivityLabel') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins information-protection-sensitivity-label evaluate') as c: c.argument('discovered_sensitive_types', type=validate_file_or_dict, help=' Expected value: ' 'json-string/@json-file.') c.argument('current_label', action=AddCurrentLabel, nargs='+', help='currentLabel') with self.argument_context('identitysignins information-protection-sensitivity-label list-sublabel') as c: c.argument('sensitivity_label_id', type=str, help='key: id of sensitivityLabel') c.argument('orderby', nargs='+', help='Order items by property values') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins information-protection-sensitivity-label show-sublabel') as c: c.argument('sensitivity_label_id', type=str, help='key: id of sensitivityLabel') c.argument('sensitivity_label_id1', type=str, help='key: id of sensitivityLabel') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins information-protection-sensitivity-label update-sublabel') as c: c.argument('sensitivity_label_id', type=str, help='key: id of sensitivityLabel') c.argument('sensitivity_label_id1', type=str, help='key: id of sensitivityLabel') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('applicable_to', arg_type=get_enum_type(['email', 'site', 'unifiedGroup', 'unknownFutureValue']), help='') c.argument('application_mode', arg_type=get_enum_type(['manual', 'automatic', 'recommended']), help='') c.argument('assigned_policies', action=AddAssignedPolicies, nargs='+', help='') c.argument('auto_labeling', action=AddAutoLabeling, nargs='+', help='autoLabeling') c.argument('description', type=str, help='') c.argument('display_name', type=str, help='') c.argument('is_default', arg_type=get_three_state_flag(), help='') c.argument('is_endpoint_protection_enabled', arg_type=get_three_state_flag(), help='') c.argument('label_actions', action=AddLabelActions, nargs='+', help='') c.argument('name', type=str, help='') c.argument('priority', type=int, help='') c.argument('tool_tip', type=str, help='') c.argument('sublabels', type=validate_file_or_dict, help=' Expected value: json-string/@json-file.') with self.argument_context('identitysignins information-protection-sensitivity-label-sublabel evaluate') as c: c.argument('sensitivity_label_id', type=str, help='key: id of sensitivityLabel') c.argument('discovered_sensitive_types', type=validate_file_or_dict, help=' Expected value: ' 'json-string/@json-file.') c.argument('current_label', action=AddCurrentLabel, nargs='+', help='currentLabel') with self.argument_context('identitysignins information-protection-threat-assessment-request create-result') as c: c.argument('threat_assessment_request_id', type=str, help='key: id of threatAssessmentRequest') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('created_date_time', help='The Timestamp type represents date and time information using ISO 8601 ' 'format and is always in UTC time. For example, midnight UTC on Jan 1, 2014 would look like this: ' '\'2014-01-01T00:00:00Z\'.') c.argument('message', type=str, help='The result message for each threat assessment.') c.argument('result_type', arg_type=get_enum_type(['checkPolicy', 'rescan', 'unknownFutureValue']), help='') with self.argument_context('identitysignins information-protection-threat-assessment-request delete-result') as c: c.argument('threat_assessment_request_id', type=str, help='key: id of threatAssessmentRequest') c.argument('threat_assessment_result_id', type=str, help='key: id of threatAssessmentResult') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins information-protection-threat-assessment-request list-result') as c: c.argument('threat_assessment_request_id', type=str, help='key: id of threatAssessmentRequest') c.argument('orderby', nargs='+', help='Order items by property values') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins information-protection-threat-assessment-request show-result') as c: c.argument('threat_assessment_request_id', type=str, help='key: id of threatAssessmentRequest') c.argument('threat_assessment_result_id', type=str, help='key: id of threatAssessmentResult') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins information-protection-threat-assessment-request update-result') as c: c.argument('threat_assessment_request_id', type=str, help='key: id of threatAssessmentRequest') c.argument('threat_assessment_result_id', type=str, help='key: id of threatAssessmentResult') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('created_date_time', help='The Timestamp type represents date and time information using ISO 8601 ' 'format and is always in UTC time. For example, midnight UTC on Jan 1, 2014 would look like this: ' '\'2014-01-01T00:00:00Z\'.') c.argument('message', type=str, help='The result message for each threat assessment.') c.argument('result_type', arg_type=get_enum_type(['checkPolicy', 'rescan', 'unknownFutureValue']), help='') with self.argument_context('identitysignins invitation-invitation create-invitation') as c: c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('invited_user_display_name', type=str, help='The display name of the user being invited.') c.argument('invited_user_email_address', type=str, help='The email address of the user being invited. ' 'Required. The following special characters are not permitted in the email address:Tilde ' '(~)Exclamation point (!)Number sign (#)Dollar sign ($)Percent (%)Circumflex (^)Ampersand ' '(&)Asterisk (*)Parentheses (( ))Plus sign (+)Equal sign (=)Brackets ([ ])Braces ({ })Backslash ' '(/)Slash mark (/)Pipe (/|)Semicolon (;)Colon (:)Quotation marks (\')Angle brackets (< >)Question ' 'mark (?)Comma (,)However, the following exceptions apply:A period (.) or a hyphen (-) is permitted ' 'anywhere in the user name, except at the beginning or end of the name.An underscore (_) is ' 'permitted anywhere in the user name. This includes at the beginning or end of the name.') c.argument('invited_user_type', type=str, help='The userType of the user being invited. By default, this is ' 'Guest. You can invite as Member if you are a company administrator.') c.argument('invite_redeem_url', type=str, help='The URL the user can use to redeem their invitation. Read-only') c.argument('invite_redirect_url', type=str, help='The URL the user should be redirected to once the invitation ' 'is redeemed. Required.') c.argument('reset_redemption', arg_type=get_three_state_flag(), help='') c.argument('send_invitation_message', arg_type=get_three_state_flag(), help='Indicates whether an email should ' 'be sent to the user being invited or not. The default is false.') c.argument('status', type=str, help='The status of the invitation. Possible values: PendingAcceptance, ' 'Completed, InProgress, and Error') c.argument('invited_user', type=validate_file_or_dict, help='Represents an Azure Active Directory user object. ' 'Expected value: json-string/@json-file.') c.argument('cc_recipients', type=validate_file_or_dict, help='Additional recipients the invitation message ' 'should be sent to. Currently only 1 additional recipient is supported. Expected value: ' 'json-string/@json-file.', arg_group='Invited User Message Info') c.argument('customized_message_body', type=str, help='Customized message body you want to send if you don\'t ' 'want the default message.', arg_group='Invited User Message Info') c.argument('message_language', type=str, help='The language you want to send the default message in. If the ' 'customizedMessageBody is specified, this property is ignored, and the message is sent using the ' 'customizedMessageBody. The language format should be in ISO 639. The default is en-US.', arg_group='Invited User Message Info') with self.argument_context('identitysignins invitation-invitation delete-invitation') as c: c.argument('invitation_id', type=str, help='key: id of invitation') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins invitation-invitation list-invitation') as c: c.argument('orderby', nargs='+', help='Order items by property values') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins invitation-invitation show-invitation') as c: c.argument('invitation_id', type=str, help='key: id of invitation') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins invitation-invitation update-invitation') as c: c.argument('invitation_id', type=str, help='key: id of invitation') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('invited_user_display_name', type=str, help='The display name of the user being invited.') c.argument('invited_user_email_address', type=str, help='The email address of the user being invited. ' 'Required. The following special characters are not permitted in the email address:Tilde ' '(~)Exclamation point (!)Number sign (#)Dollar sign ($)Percent (%)Circumflex (^)Ampersand ' '(&)Asterisk (*)Parentheses (( ))Plus sign (+)Equal sign (=)Brackets ([ ])Braces ({ })Backslash ' '(/)Slash mark (/)Pipe (/|)Semicolon (;)Colon (:)Quotation marks (\')Angle brackets (< >)Question ' 'mark (?)Comma (,)However, the following exceptions apply:A period (.) or a hyphen (-) is permitted ' 'anywhere in the user name, except at the beginning or end of the name.An underscore (_) is ' 'permitted anywhere in the user name. This includes at the beginning or end of the name.') c.argument('invited_user_type', type=str, help='The userType of the user being invited. By default, this is ' 'Guest. You can invite as Member if you are a company administrator.') c.argument('invite_redeem_url', type=str, help='The URL the user can use to redeem their invitation. Read-only') c.argument('invite_redirect_url', type=str, help='The URL the user should be redirected to once the invitation ' 'is redeemed. Required.') c.argument('reset_redemption', arg_type=get_three_state_flag(), help='') c.argument('send_invitation_message', arg_type=get_three_state_flag(), help='Indicates whether an email should ' 'be sent to the user being invited or not. The default is false.') c.argument('status', type=str, help='The status of the invitation. Possible values: PendingAcceptance, ' 'Completed, InProgress, and Error') c.argument('invited_user', type=validate_file_or_dict, help='Represents an Azure Active Directory user object. ' 'Expected value: json-string/@json-file.') c.argument('cc_recipients', type=validate_file_or_dict, help='Additional recipients the invitation message ' 'should be sent to. Currently only 1 additional recipient is supported. Expected value: ' 'json-string/@json-file.', arg_group='Invited User Message Info') c.argument('customized_message_body', type=str, help='Customized message body you want to send if you don\'t ' 'want the default message.', arg_group='Invited User Message Info') c.argument('message_language', type=str, help='The language you want to send the default message in. If the ' 'customizedMessageBody is specified, this property is ignored, and the message is sent using the ' 'customizedMessageBody. The language format should be in ISO 639. The default is en-US.', arg_group='Invited User Message Info') with self.argument_context('identitysignins invitation delete-ref-invited-user') as c: c.argument('invitation_id', type=str, help='key: id of invitation') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins invitation set-ref-invited-user') as c: c.argument('invitation_id', type=str, help='key: id of invitation') c.argument('body', type=validate_file_or_dict, help='New navigation property ref values Expected value: ' 'json-string/@json-file.') with self.argument_context('identitysignins invitation show-invited-user') as c: c.argument('invitation_id', type=str, help='key: id of invitation') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins invitation show-ref-invited-user') as c: c.argument('invitation_id', type=str, help='key: id of invitation') with self.argument_context('identitysignins oauth2-permission-grant-o-auth2-permission-grant create-o-auth2-permission-grant') as c: c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('client_id', type=str, help='The id of the client service principal for the application which is ' 'authorized to act on behalf of a signed-in user when accessing an API. Required. Supports $filter ' '(eq only).') c.argument('consent_type', type=str, help='Indicates if authorization is granted for the client application to ' 'impersonate all users or only a specific user. AllPrincipals indicates authorization to ' 'impersonate all users. Principal indicates authorization to impersonate a specific user. Consent ' 'on behalf of all users can be granted by an administrator. Non-admin users may be authorized to ' 'consent on behalf of themselves in some cases, for some delegated permissions. Required. Supports ' '$filter (eq only).') c.argument('expiry_time', help='') c.argument('principal_id', type=str, help='The id of the user on behalf of whom the client is authorized to ' 'access the resource, when consentType is Principal. If consentType is AllPrincipals this value is ' 'null. Required when consentType is Principal.') c.argument('resource_id', type=str, help='The id of the resource service principal to which access is ' 'authorized. This identifies the API which the client is authorized to attempt to call on behalf of ' 'a signed-in user.') c.argument('scope', type=str, help='A space-separated list of the claim values for delegated permissions which ' 'should be included in access tokens for the resource application (the API). For example, openid ' 'User.Read GroupMember.Read.All. Each claim value should match the value field of one of the ' 'delegated permissions defined by the API, listed in the publishedPermissionScopes property of the ' 'resource service principal.') c.argument('start_time', help='') with self.argument_context('identitysignins oauth2-permission-grant-o-auth2-permission-grant delete-o-auth2-permission-grant') as c: c.argument('o_auth2_permission_grant_id', type=str, help='key: id of oAuth2PermissionGrant') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins oauth2-permission-grant-o-auth2-permission-grant list-o-auth2-permission-grant') as c: c.argument('orderby', nargs='+', help='Order items by property values') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins oauth2-permission-grant-o-auth2-permission-grant show-o-auth2-permission-grant') as c: c.argument('o_auth2_permission_grant_id', type=str, help='key: id of oAuth2PermissionGrant') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins oauth2-permission-grant-o-auth2-permission-grant update-o-auth2-permission-grant') as c: c.argument('o_auth2_permission_grant_id', type=str, help='key: id of oAuth2PermissionGrant') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('client_id', type=str, help='The id of the client service principal for the application which is ' 'authorized to act on behalf of a signed-in user when accessing an API. Required. Supports $filter ' '(eq only).') c.argument('consent_type', type=str, help='Indicates if authorization is granted for the client application to ' 'impersonate all users or only a specific user. AllPrincipals indicates authorization to ' 'impersonate all users. Principal indicates authorization to impersonate a specific user. Consent ' 'on behalf of all users can be granted by an administrator. Non-admin users may be authorized to ' 'consent on behalf of themselves in some cases, for some delegated permissions. Required. Supports ' '$filter (eq only).') c.argument('expiry_time', help='') c.argument('principal_id', type=str, help='The id of the user on behalf of whom the client is authorized to ' 'access the resource, when consentType is Principal. If consentType is AllPrincipals this value is ' 'null. Required when consentType is Principal.') c.argument('resource_id', type=str, help='The id of the resource service principal to which access is ' 'authorized. This identifies the API which the client is authorized to attempt to call on behalf of ' 'a signed-in user.') c.argument('scope', type=str, help='A space-separated list of the claim values for delegated permissions which ' 'should be included in access tokens for the resource application (the API). For example, openid ' 'User.Read GroupMember.Read.All. Each claim value should match the value field of one of the ' 'delegated permissions defined by the API, listed in the publishedPermissionScopes property of the ' 'resource service principal.') c.argument('start_time', help='') with self.argument_context('identitysignins organization create-ref-certificate-based-auth-configuration') as c: c.argument('organization_id', type=str, help='key: id of organization') c.argument('body', type=validate_file_or_dict, help='New navigation property ref value Expected value: ' 'json-string/@json-file.') with self.argument_context('identitysignins organization list-certificate-based-auth-configuration') as c: c.argument('organization_id', type=str, help='key: id of organization') c.argument('orderby', nargs='+', help='Order items by property values') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins organization list-ref-certificate-based-auth-configuration') as c: c.argument('organization_id', type=str, help='key: id of organization') c.argument('orderby', nargs='+', help='Order items by property values') with self.argument_context('identitysignins policy-policy-root show-policy-root') as c: c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins policy-policy-root update-policy-root') as c: c.argument('b2_c_authentication_methods_policy', action=AddB2CAuthenticationMethodsPolicy, nargs='+', help='b2cAuthenticationMethodsPolicy') c.argument('activity_based_timeout_policies', action=AddActivityBasedTimeoutPolicies, nargs='+', help='') c.argument('authorization_policy', type=validate_file_or_dict, help=' Expected value: json-string/@json-file.') c.argument('claims_mapping_policies', action=AddClaimsMappingPolicies, nargs='+', help='') c.argument('home_realm_discovery_policies', action=AddHomeRealmDiscoveryPolicies, nargs='+', help='') c.argument('permission_grant_policies', type=validate_file_or_dict, help=' Expected value: ' 'json-string/@json-file.') c.argument('private_link_resource_policies', action=AddPrivateLinkResourcePolicies, nargs='+', help='') c.argument('token_issuance_policies', action=AddTokenIssuancePolicies, nargs='+', help='') c.argument('token_lifetime_policies', action=AddTokenLifetimePolicies, nargs='+', help='') c.argument('conditional_access_policies', type=validate_file_or_dict, help=' Expected value: ' 'json-string/@json-file.') c.argument('identity_security_defaults_enforcement_policy', action=AddIdentitySecurityDefaultsEnforcementPolicy, nargs='+', help='Represents an Azure Active ' 'Directory object. The directoryObject type is the base type for many other directory entity types.') c.argument('id_', options_list=['--id'], type=str, help='Read-only.', arg_group='Directory Role Access Review ' 'Policy') c.argument('apply_actions', action=AddApplyActions, nargs='+', help=' Expect value: KEY1=VALUE1 KEY2=VALUE2 ' '...', arg_group='Directory Role Access Review Policy Settings') c.argument('auto_apply_decisions_enabled', arg_type=get_three_state_flag(), help='', arg_group='Directory Role ' 'Access Review Policy Settings') c.argument('default_decision', type=str, help='', arg_group='Directory Role Access Review Policy Settings') c.argument('default_decision_enabled', arg_type=get_three_state_flag(), help='', arg_group='Directory Role ' 'Access Review Policy Settings') c.argument('instance_duration_in_days', type=int, help='', arg_group='Directory Role Access Review Policy ' 'Settings') c.argument('justification_required_on_approval', arg_type=get_three_state_flag(), help='', arg_group='Directory Role Access Review Policy Settings') c.argument('mail_notifications_enabled', arg_type=get_three_state_flag(), help='', arg_group='Directory Role ' 'Access Review Policy Settings') c.argument('recommendations_enabled', arg_type=get_three_state_flag(), help='', arg_group='Directory Role ' 'Access Review Policy Settings') c.argument('recurrence', type=validate_file_or_dict, help='patternedRecurrence Expected value: ' 'json-string/@json-file.', arg_group='Directory Role Access Review Policy Settings') c.argument('reminder_notifications_enabled', arg_type=get_three_state_flag(), help='', arg_group='Directory ' 'Role Access Review Policy Settings') c.argument('microsoft_graph_entity_id', type=str, help='Read-only.', arg_group='Admin Consent Request Policy') c.argument('admin_consent_request_policy_is_enabled', arg_type=get_three_state_flag(), help='', arg_group='Admin Consent Request Policy') c.argument('notify_reviewers', arg_type=get_three_state_flag(), help='', arg_group='Admin Consent Request ' 'Policy') c.argument('reminders_enabled', arg_type=get_three_state_flag(), help='', arg_group='Admin Consent Request ' 'Policy') c.argument('request_duration_in_days', type=int, help='', arg_group='Admin Consent Request Policy') c.argument('reviewers', action=AddReviewers, nargs='+', help='', arg_group='Admin Consent Request Policy') c.argument('version', type=int, help='', arg_group='Admin Consent Request Policy') c.argument('id1', type=str, help='Read-only.', arg_group='Device Registration Policy') c.argument('id2', type=str, help='Read-only.', arg_group='Authentication Flows Policy') c.argument('description', type=str, help='', arg_group='Authentication Flows Policy') c.argument('display_name', type=str, help='', arg_group='Authentication Flows Policy') c.argument('is_enabled', arg_type=get_three_state_flag(), help='', arg_group='Authentication Flows Policy Self ' 'Service Sign Up') with self.argument_context('identitysignins policy create-activity-based-timeout-policy') as c: c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('deleted_date_time', help='') c.argument('description', type=str, help='Description for this policy.') c.argument('display_name', type=str, help='Display name for this policy.') c.argument('definition', nargs='+', help='A string collection containing a JSON string that defines the rules ' 'and settings for a policy. The syntax for the definition differs for each derived policy type. ' 'Required.') c.argument('is_organization_default', arg_type=get_three_state_flag(), help='If set to true, activates this ' 'policy. There can be many policies for the same policy type, but only one can be activated as the ' 'organization default. Optional, default value is false.') c.argument('applies_to', action=AddAppliesTo, nargs='+', help='') with self.argument_context('identitysignins policy create-authorization-policy') as c: c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('deleted_date_time', help='') c.argument('description', type=str, help='Description for this policy.') c.argument('display_name', type=str, help='Display name for this policy.') c.argument('allowed_to_sign_up_email_based_subscriptions', arg_type=get_three_state_flag(), help='') c.argument('allowed_to_use_sspr', arg_type=get_three_state_flag(), help='') c.argument('allow_email_verified_users_to_join_organization', arg_type=get_three_state_flag(), help='') c.argument('allow_invites_from', arg_type=get_enum_type(['none', 'adminsAndGuestInviters', 'adminsGuestInvitersAndAllMembers', 'everyone', 'unknownFutureValue']), help='') c.argument('block_msol_power_shell', arg_type=get_three_state_flag(), help='') c.argument('default_user_role_permissions', action=AddDefaultUserRolePermissions, nargs='+', help='defaultUserRolePermissions') c.argument('enabled_preview_features', nargs='+', help='') c.argument('guest_user_role_id', help='') c.argument('permission_grant_policy_ids_assigned_to_default_user_role', nargs='+', help='') with self.argument_context('identitysignins policy create-claim-mapping-policy') as c: c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('deleted_date_time', help='') c.argument('description', type=str, help='Description for this policy.') c.argument('display_name', type=str, help='Display name for this policy.') c.argument('definition', nargs='+', help='A string collection containing a JSON string that defines the rules ' 'and settings for a policy. The syntax for the definition differs for each derived policy type. ' 'Required.') c.argument('is_organization_default', arg_type=get_three_state_flag(), help='If set to true, activates this ' 'policy. There can be many policies for the same policy type, but only one can be activated as the ' 'organization default. Optional, default value is false.') c.argument('applies_to', action=AddAppliesTo, nargs='+', help='') with self.argument_context('identitysignins policy create-conditional-access-policy') as c: c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('created_date_time', help='The Timestamp type represents date and time information using ISO 8601 ' 'format and is always in UTC time. For example, midnight UTC on Jan 1, 2014 would look like this: ' '\'2014-01-01T00:00:00Z\'. Readonly.') c.argument('description', type=str, help='') c.argument('display_name', type=str, help='Specifies a display name for the conditionalAccessPolicy object.') c.argument('grant_controls', action=AddGrantControls, nargs='+', help='conditionalAccessGrantControls') c.argument('modified_date_time', help='The Timestamp type represents date and time information using ISO 8601 ' 'format and is always in UTC time. For example, midnight UTC on Jan 1, 2014 would look like this: ' '\'2014-01-01T00:00:00Z\'. Readonly.') c.argument('state', arg_type=get_enum_type(['enabled', 'disabled', 'enabledForReportingButNotEnforced']), help='') c.argument('application_enforced_restrictions', action=AddApplicationEnforcedRestrictions, nargs='+', help='applicationEnforcedRestrictionsSessionControl', arg_group='Session Controls') c.argument('cloud_app_security', action=AddCloudAppSecurity, nargs='+', help='cloudAppSecuritySessionControl', arg_group='Session Controls') c.argument('persistent_browser', action=AddPersistentBrowser, nargs='+', help='persistentBrowserSessionControl', arg_group='Session Controls') c.argument('sign_in_frequency', action=AddSignInFrequency, nargs='+', help='signInFrequencySessionControl', arg_group='Session Controls') c.argument('applications', action=AddApplications, nargs='+', help='conditionalAccessApplications', arg_group='Conditions') c.argument('client_applications', action=AddClientApplications, nargs='+', help='conditionalAccessClientApplications', arg_group='Conditions') c.argument('client_app_types', nargs='+', help='Client application types included in the policy. Possible ' 'values are: all, browser, mobileAppsAndDesktopClients, exchangeActiveSync, easSupported, other.', arg_group='Conditions') c.argument('devices', action=AddDevices, nargs='+', help='conditionalAccessDevices', arg_group='Conditions') c.argument('device_states', action=AddDeviceStates, nargs='+', help='conditionalAccessDeviceStates', arg_group='Conditions') c.argument('locations', action=AddLocations, nargs='+', help='conditionalAccessLocations', arg_group='Conditions') c.argument('platforms', action=AddPlatforms, nargs='+', help='conditionalAccessPlatforms', arg_group='Conditions') c.argument('sign_in_risk_levels', nargs='+', help='Risk levels included in the policy. Possible values are: ' 'low, medium, high, none.', arg_group='Conditions') c.argument('user_risk_levels', nargs='+', help='', arg_group='Conditions') c.argument('users', action=AddUsers, nargs='+', help='conditionalAccessUsers', arg_group='Conditions') with self.argument_context('identitysignins policy create-home-realm-discovery-policy') as c: c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('deleted_date_time', help='') c.argument('description', type=str, help='Description for this policy.') c.argument('display_name', type=str, help='Display name for this policy.') c.argument('definition', nargs='+', help='A string collection containing a JSON string that defines the rules ' 'and settings for a policy. The syntax for the definition differs for each derived policy type. ' 'Required.') c.argument('is_organization_default', arg_type=get_three_state_flag(), help='If set to true, activates this ' 'policy. There can be many policies for the same policy type, but only one can be activated as the ' 'organization default. Optional, default value is false.') c.argument('applies_to', action=AddAppliesTo, nargs='+', help='') with self.argument_context('identitysignins policy create-permission-grant-policy') as c: c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('deleted_date_time', help='') c.argument('description', type=str, help='Description for this policy.') c.argument('display_name', type=str, help='Display name for this policy.') c.argument('excludes', action=AddExcludes, nargs='+', help='') c.argument('includes', action=AddIncludes, nargs='+', help='') with self.argument_context('identitysignins policy create-private-link-resource-policy') as c: c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('allowed_tenant_ids', nargs='+', help='') c.argument('arm_resource_id', type=str, help='') with self.argument_context('identitysignins policy create-token-issuance-policy') as c: c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('deleted_date_time', help='') c.argument('description', type=str, help='Description for this policy.') c.argument('display_name', type=str, help='Display name for this policy.') c.argument('definition', nargs='+', help='A string collection containing a JSON string that defines the rules ' 'and settings for a policy. The syntax for the definition differs for each derived policy type. ' 'Required.') c.argument('is_organization_default', arg_type=get_three_state_flag(), help='If set to true, activates this ' 'policy. There can be many policies for the same policy type, but only one can be activated as the ' 'organization default. Optional, default value is false.') c.argument('applies_to', action=AddAppliesTo, nargs='+', help='') with self.argument_context('identitysignins policy create-token-lifetime-policy') as c: c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('deleted_date_time', help='') c.argument('description', type=str, help='Description for this policy.') c.argument('display_name', type=str, help='Display name for this policy.') c.argument('definition', nargs='+', help='A string collection containing a JSON string that defines the rules ' 'and settings for a policy. The syntax for the definition differs for each derived policy type. ' 'Required.') c.argument('is_organization_default', arg_type=get_three_state_flag(), help='If set to true, activates this ' 'policy. There can be many policies for the same policy type, but only one can be activated as the ' 'organization default. Optional, default value is false.') c.argument('applies_to', action=AddAppliesTo, nargs='+', help='') with self.argument_context('identitysignins policy delete-activity-based-timeout-policy') as c: c.argument('activity_based_timeout_policy_id', type=str, help='key: id of activityBasedTimeoutPolicy') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins policy delete-admin-consent-request-policy') as c: c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins policy delete-authentication-flow-policy') as c: c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins policy delete-authorization-policy') as c: c.argument('authorization_policy_id', type=str, help='key: id of authorizationPolicy') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins policy delete-b2-c-authentication-method-policy') as c: c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins policy delete-claim-mapping-policy') as c: c.argument('claims_mapping_policy_id', type=str, help='key: id of claimsMappingPolicy') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins policy delete-conditional-access-policy') as c: c.argument('conditional_access_policy_id', type=str, help='key: id of conditionalAccessPolicy') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins policy delete-device-registration-policy') as c: c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins policy delete-directory-role-access-review-policy') as c: c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins policy delete-home-realm-discovery-policy') as c: c.argument('home_realm_discovery_policy_id', type=str, help='key: id of homeRealmDiscoveryPolicy') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins policy delete-identity-security-default-enforcement-policy') as c: c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins policy delete-permission-grant-policy') as c: c.argument('permission_grant_policy_id', type=str, help='key: id of permissionGrantPolicy') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins policy delete-private-link-resource-policy') as c: c.argument('private_link_resource_id', type=str, help='key: id of privateLinkResource') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins policy delete-token-issuance-policy') as c: c.argument('token_issuance_policy_id', type=str, help='key: id of tokenIssuancePolicy') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins policy delete-token-lifetime-policy') as c: c.argument('token_lifetime_policy_id', type=str, help='key: id of tokenLifetimePolicy') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins policy list-activity-based-timeout-policy') as c: c.argument('orderby', nargs='+', help='Order items by property values') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins policy list-authorization-policy') as c: c.argument('orderby', nargs='+', help='Order items by property values') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins policy list-claim-mapping-policy') as c: c.argument('orderby', nargs='+', help='Order items by property values') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins policy list-conditional-access-policy') as c: c.argument('orderby', nargs='+', help='Order items by property values') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins policy list-home-realm-discovery-policy') as c: c.argument('orderby', nargs='+', help='Order items by property values') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins policy list-permission-grant-policy') as c: c.argument('orderby', nargs='+', help='Order items by property values') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins policy list-private-link-resource-policy') as c: c.argument('orderby', nargs='+', help='Order items by property values') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins policy list-token-issuance-policy') as c: c.argument('orderby', nargs='+', help='Order items by property values') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins policy list-token-lifetime-policy') as c: c.argument('orderby', nargs='+', help='Order items by property values') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins policy show-activity-based-timeout-policy') as c: c.argument('activity_based_timeout_policy_id', type=str, help='key: id of activityBasedTimeoutPolicy') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins policy show-admin-consent-request-policy') as c: c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins policy show-authentication-flow-policy') as c: c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins policy show-authorization-policy') as c: c.argument('authorization_policy_id', type=str, help='key: id of authorizationPolicy') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins policy show-b2-c-authentication-method-policy') as c: c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins policy show-claim-mapping-policy') as c: c.argument('claims_mapping_policy_id', type=str, help='key: id of claimsMappingPolicy') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins policy show-conditional-access-policy') as c: c.argument('conditional_access_policy_id', type=str, help='key: id of conditionalAccessPolicy') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins policy show-device-registration-policy') as c: c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins policy show-directory-role-access-review-policy') as c: c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins policy show-home-realm-discovery-policy') as c: c.argument('home_realm_discovery_policy_id', type=str, help='key: id of homeRealmDiscoveryPolicy') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins policy show-identity-security-default-enforcement-policy') as c: c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins policy show-permission-grant-policy') as c: c.argument('permission_grant_policy_id', type=str, help='key: id of permissionGrantPolicy') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins policy show-private-link-resource-policy') as c: c.argument('private_link_resource_id', type=str, help='key: id of privateLinkResource') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins policy show-token-issuance-policy') as c: c.argument('token_issuance_policy_id', type=str, help='key: id of tokenIssuancePolicy') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins policy show-token-lifetime-policy') as c: c.argument('token_lifetime_policy_id', type=str, help='key: id of tokenLifetimePolicy') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins policy update-activity-based-timeout-policy') as c: c.argument('activity_based_timeout_policy_id', type=str, help='key: id of activityBasedTimeoutPolicy') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('deleted_date_time', help='') c.argument('description', type=str, help='Description for this policy.') c.argument('display_name', type=str, help='Display name for this policy.') c.argument('definition', nargs='+', help='A string collection containing a JSON string that defines the rules ' 'and settings for a policy. The syntax for the definition differs for each derived policy type. ' 'Required.') c.argument('is_organization_default', arg_type=get_three_state_flag(), help='If set to true, activates this ' 'policy. There can be many policies for the same policy type, but only one can be activated as the ' 'organization default. Optional, default value is false.') c.argument('applies_to', action=AddAppliesTo, nargs='+', help='') with self.argument_context('identitysignins policy update-admin-consent-request-policy') as c: c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('is_enabled', arg_type=get_three_state_flag(), help='') c.argument('notify_reviewers', arg_type=get_three_state_flag(), help='') c.argument('reminders_enabled', arg_type=get_three_state_flag(), help='') c.argument('request_duration_in_days', type=int, help='') c.argument('reviewers', action=AddReviewers, nargs='+', help='') c.argument('version', type=int, help='') with self.argument_context('identitysignins policy update-authentication-flow-policy') as c: c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('description', type=str, help='') c.argument('display_name', type=str, help='') c.argument('is_enabled', arg_type=get_three_state_flag(), help='', arg_group='Self Service Sign Up') with self.argument_context('identitysignins policy update-authorization-policy') as c: c.argument('authorization_policy_id', type=str, help='key: id of authorizationPolicy') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('deleted_date_time', help='') c.argument('description', type=str, help='Description for this policy.') c.argument('display_name', type=str, help='Display name for this policy.') c.argument('allowed_to_sign_up_email_based_subscriptions', arg_type=get_three_state_flag(), help='') c.argument('allowed_to_use_sspr', arg_type=get_three_state_flag(), help='') c.argument('allow_email_verified_users_to_join_organization', arg_type=get_three_state_flag(), help='') c.argument('allow_invites_from', arg_type=get_enum_type(['none', 'adminsAndGuestInviters', 'adminsGuestInvitersAndAllMembers', 'everyone', 'unknownFutureValue']), help='') c.argument('block_msol_power_shell', arg_type=get_three_state_flag(), help='') c.argument('default_user_role_permissions', action=AddDefaultUserRolePermissions, nargs='+', help='defaultUserRolePermissions') c.argument('enabled_preview_features', nargs='+', help='') c.argument('guest_user_role_id', help='') c.argument('permission_grant_policy_ids_assigned_to_default_user_role', nargs='+', help='') with self.argument_context('identitysignins policy update-b2-c-authentication-method-policy') as c: c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('is_email_password_authentication_enabled', arg_type=get_three_state_flag(), help='') c.argument('is_phone_one_time_password_authentication_enabled', arg_type=get_three_state_flag(), help='') c.argument('is_user_name_authentication_enabled', arg_type=get_three_state_flag(), help='') with self.argument_context('identitysignins policy update-claim-mapping-policy') as c: c.argument('claims_mapping_policy_id', type=str, help='key: id of claimsMappingPolicy') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('deleted_date_time', help='') c.argument('description', type=str, help='Description for this policy.') c.argument('display_name', type=str, help='Display name for this policy.') c.argument('definition', nargs='+', help='A string collection containing a JSON string that defines the rules ' 'and settings for a policy. The syntax for the definition differs for each derived policy type. ' 'Required.') c.argument('is_organization_default', arg_type=get_three_state_flag(), help='If set to true, activates this ' 'policy. There can be many policies for the same policy type, but only one can be activated as the ' 'organization default. Optional, default value is false.') c.argument('applies_to', action=AddAppliesTo, nargs='+', help='') with self.argument_context('identitysignins policy update-conditional-access-policy') as c: c.argument('conditional_access_policy_id', type=str, help='key: id of conditionalAccessPolicy') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('created_date_time', help='The Timestamp type represents date and time information using ISO 8601 ' 'format and is always in UTC time. For example, midnight UTC on Jan 1, 2014 would look like this: ' '\'2014-01-01T00:00:00Z\'. Readonly.') c.argument('description', type=str, help='') c.argument('display_name', type=str, help='Specifies a display name for the conditionalAccessPolicy object.') c.argument('grant_controls', action=AddGrantControls, nargs='+', help='conditionalAccessGrantControls') c.argument('modified_date_time', help='The Timestamp type represents date and time information using ISO 8601 ' 'format and is always in UTC time. For example, midnight UTC on Jan 1, 2014 would look like this: ' '\'2014-01-01T00:00:00Z\'. Readonly.') c.argument('state', arg_type=get_enum_type(['enabled', 'disabled', 'enabledForReportingButNotEnforced']), help='') c.argument('application_enforced_restrictions', action=AddApplicationEnforcedRestrictions, nargs='+', help='applicationEnforcedRestrictionsSessionControl', arg_group='Session Controls') c.argument('cloud_app_security', action=AddCloudAppSecurity, nargs='+', help='cloudAppSecuritySessionControl', arg_group='Session Controls') c.argument('persistent_browser', action=AddPersistentBrowser, nargs='+', help='persistentBrowserSessionControl', arg_group='Session Controls') c.argument('sign_in_frequency', action=AddSignInFrequency, nargs='+', help='signInFrequencySessionControl', arg_group='Session Controls') c.argument('applications', action=AddApplications, nargs='+', help='conditionalAccessApplications', arg_group='Conditions') c.argument('client_applications', action=AddClientApplications, nargs='+', help='conditionalAccessClientApplications', arg_group='Conditions') c.argument('client_app_types', nargs='+', help='Client application types included in the policy. Possible ' 'values are: all, browser, mobileAppsAndDesktopClients, exchangeActiveSync, easSupported, other.', arg_group='Conditions') c.argument('devices', action=AddDevices, nargs='+', help='conditionalAccessDevices', arg_group='Conditions') c.argument('device_states', action=AddDeviceStates, nargs='+', help='conditionalAccessDeviceStates', arg_group='Conditions') c.argument('locations', action=AddLocations, nargs='+', help='conditionalAccessLocations', arg_group='Conditions') c.argument('platforms', action=AddPlatforms, nargs='+', help='conditionalAccessPlatforms', arg_group='Conditions') c.argument('sign_in_risk_levels', nargs='+', help='Risk levels included in the policy. Possible values are: ' 'low, medium, high, none.', arg_group='Conditions') c.argument('user_risk_levels', nargs='+', help='', arg_group='Conditions') c.argument('users', action=AddUsers, nargs='+', help='conditionalAccessUsers', arg_group='Conditions') with self.argument_context('identitysignins policy update-device-registration-policy') as c: c.argument('id_', options_list=['--id'], type=str, help='Read-only.') with self.argument_context('identitysignins policy update-directory-role-access-review-policy') as c: c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('apply_actions', action=AddApplyActions, nargs='+', help=' Expect value: KEY1=VALUE1 KEY2=VALUE2 ' '...', arg_group='Settings') c.argument('auto_apply_decisions_enabled', arg_type=get_three_state_flag(), help='', arg_group='Settings') c.argument('default_decision', type=str, help='', arg_group='Settings') c.argument('default_decision_enabled', arg_type=get_three_state_flag(), help='', arg_group='Settings') c.argument('instance_duration_in_days', type=int, help='', arg_group='Settings') c.argument('justification_required_on_approval', arg_type=get_three_state_flag(), help='', arg_group='Settings') c.argument('mail_notifications_enabled', arg_type=get_three_state_flag(), help='', arg_group='Settings') c.argument('recommendations_enabled', arg_type=get_three_state_flag(), help='', arg_group='Settings') c.argument('recurrence', type=validate_file_or_dict, help='patternedRecurrence Expected value: ' 'json-string/@json-file.', arg_group='Settings') c.argument('reminder_notifications_enabled', arg_type=get_three_state_flag(), help='', arg_group='Settings') with self.argument_context('identitysignins policy update-home-realm-discovery-policy') as c: c.argument('home_realm_discovery_policy_id', type=str, help='key: id of homeRealmDiscoveryPolicy') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('deleted_date_time', help='') c.argument('description', type=str, help='Description for this policy.') c.argument('display_name', type=str, help='Display name for this policy.') c.argument('definition', nargs='+', help='A string collection containing a JSON string that defines the rules ' 'and settings for a policy. The syntax for the definition differs for each derived policy type. ' 'Required.') c.argument('is_organization_default', arg_type=get_three_state_flag(), help='If set to true, activates this ' 'policy. There can be many policies for the same policy type, but only one can be activated as the ' 'organization default. Optional, default value is false.') c.argument('applies_to', action=AddAppliesTo, nargs='+', help='') with self.argument_context('identitysignins policy update-identity-security-default-enforcement-policy') as c: c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('deleted_date_time', help='') c.argument('description', type=str, help='Description for this policy.') c.argument('display_name', type=str, help='Display name for this policy.') c.argument('is_enabled', arg_type=get_three_state_flag(), help='If set to true, Azure Active Directory ' 'security defaults is enabled for the tenant.') with self.argument_context('identitysignins policy update-permission-grant-policy') as c: c.argument('permission_grant_policy_id', type=str, help='key: id of permissionGrantPolicy') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('deleted_date_time', help='') c.argument('description', type=str, help='Description for this policy.') c.argument('display_name', type=str, help='Display name for this policy.') c.argument('excludes', action=AddExcludes, nargs='+', help='') c.argument('includes', action=AddIncludes, nargs='+', help='') with self.argument_context('identitysignins policy update-private-link-resource-policy') as c: c.argument('private_link_resource_id', type=str, help='key: id of privateLinkResource') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('allowed_tenant_ids', nargs='+', help='') c.argument('arm_resource_id', type=str, help='') with self.argument_context('identitysignins policy update-token-issuance-policy') as c: c.argument('token_issuance_policy_id', type=str, help='key: id of tokenIssuancePolicy') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('deleted_date_time', help='') c.argument('description', type=str, help='Description for this policy.') c.argument('display_name', type=str, help='Display name for this policy.') c.argument('definition', nargs='+', help='A string collection containing a JSON string that defines the rules ' 'and settings for a policy. The syntax for the definition differs for each derived policy type. ' 'Required.') c.argument('is_organization_default', arg_type=get_three_state_flag(), help='If set to true, activates this ' 'policy. There can be many policies for the same policy type, but only one can be activated as the ' 'organization default. Optional, default value is false.') c.argument('applies_to', action=AddAppliesTo, nargs='+', help='') with self.argument_context('identitysignins policy update-token-lifetime-policy') as c: c.argument('token_lifetime_policy_id', type=str, help='key: id of tokenLifetimePolicy') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('deleted_date_time', help='') c.argument('description', type=str, help='Description for this policy.') c.argument('display_name', type=str, help='Display name for this policy.') c.argument('definition', nargs='+', help='A string collection containing a JSON string that defines the rules ' 'and settings for a policy. The syntax for the definition differs for each derived policy type. ' 'Required.') c.argument('is_organization_default', arg_type=get_three_state_flag(), help='If set to true, activates this ' 'policy. There can be many policies for the same policy type, but only one can be activated as the ' 'organization default. Optional, default value is false.') c.argument('applies_to', action=AddAppliesTo, nargs='+', help='') with self.argument_context('identitysignins policy-permission-grant-policy create-exclude') as c: c.argument('permission_grant_policy_id', type=str, help='key: id of permissionGrantPolicy') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('client_application_ids', nargs='+', help='') c.argument('client_application_publisher_ids', nargs='+', help='') c.argument('client_applications_from_verified_publisher_only', arg_type=get_three_state_flag(), help='') c.argument('client_application_tenant_ids', nargs='+', help='') c.argument('permission_classification', type=str, help='') c.argument('permissions', nargs='+', help='') c.argument('permission_type', arg_type=get_enum_type(['application', 'delegated', 'delegatedUserConsentable']), help='') c.argument('resource_application', type=str, help='') with self.argument_context('identitysignins policy-permission-grant-policy create-include') as c: c.argument('permission_grant_policy_id', type=str, help='key: id of permissionGrantPolicy') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('client_application_ids', nargs='+', help='') c.argument('client_application_publisher_ids', nargs='+', help='') c.argument('client_applications_from_verified_publisher_only', arg_type=get_three_state_flag(), help='') c.argument('client_application_tenant_ids', nargs='+', help='') c.argument('permission_classification', type=str, help='') c.argument('permissions', nargs='+', help='') c.argument('permission_type', arg_type=get_enum_type(['application', 'delegated', 'delegatedUserConsentable']), help='') c.argument('resource_application', type=str, help='') with self.argument_context('identitysignins policy-permission-grant-policy delete-exclude') as c: c.argument('permission_grant_policy_id', type=str, help='key: id of permissionGrantPolicy') c.argument('permission_grant_condition_set_id', type=str, help='key: id of permissionGrantConditionSet') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins policy-permission-grant-policy delete-include') as c: c.argument('permission_grant_policy_id', type=str, help='key: id of permissionGrantPolicy') c.argument('permission_grant_condition_set_id', type=str, help='key: id of permissionGrantConditionSet') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins policy-permission-grant-policy list-exclude') as c: c.argument('permission_grant_policy_id', type=str, help='key: id of permissionGrantPolicy') c.argument('orderby', nargs='+', help='Order items by property values') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins policy-permission-grant-policy list-include') as c: c.argument('permission_grant_policy_id', type=str, help='key: id of permissionGrantPolicy') c.argument('orderby', nargs='+', help='Order items by property values') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins policy-permission-grant-policy show-exclude') as c: c.argument('permission_grant_policy_id', type=str, help='key: id of permissionGrantPolicy') c.argument('permission_grant_condition_set_id', type=str, help='key: id of permissionGrantConditionSet') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins policy-permission-grant-policy show-include') as c: c.argument('permission_grant_policy_id', type=str, help='key: id of permissionGrantPolicy') c.argument('permission_grant_condition_set_id', type=str, help='key: id of permissionGrantConditionSet') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins policy-permission-grant-policy update-exclude') as c: c.argument('permission_grant_policy_id', type=str, help='key: id of permissionGrantPolicy') c.argument('permission_grant_condition_set_id', type=str, help='key: id of permissionGrantConditionSet') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('client_application_ids', nargs='+', help='') c.argument('client_application_publisher_ids', nargs='+', help='') c.argument('client_applications_from_verified_publisher_only', arg_type=get_three_state_flag(), help='') c.argument('client_application_tenant_ids', nargs='+', help='') c.argument('permission_classification', type=str, help='') c.argument('permissions', nargs='+', help='') c.argument('permission_type', arg_type=get_enum_type(['application', 'delegated', 'delegatedUserConsentable']), help='') c.argument('resource_application', type=str, help='') with self.argument_context('identitysignins policy-permission-grant-policy update-include') as c: c.argument('permission_grant_policy_id', type=str, help='key: id of permissionGrantPolicy') c.argument('permission_grant_condition_set_id', type=str, help='key: id of permissionGrantConditionSet') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('client_application_ids', nargs='+', help='') c.argument('client_application_publisher_ids', nargs='+', help='') c.argument('client_applications_from_verified_publisher_only', arg_type=get_three_state_flag(), help='') c.argument('client_application_tenant_ids', nargs='+', help='') c.argument('permission_classification', type=str, help='') c.argument('permissions', nargs='+', help='') c.argument('permission_type', arg_type=get_enum_type(['application', 'delegated', 'delegatedUserConsentable']), help='') c.argument('resource_application', type=str, help='') with self.argument_context('identitysignins risk-detection-risk-detection create-risk-detection') as c: c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('activity', arg_type=get_enum_type(['signin', 'user', 'unknownFutureValue']), help='') c.argument('activity_date_time', help='Date and time that the risky activity occurred.') c.argument('additional_info', type=str, help='Additional information associated with the risk detection in ' 'JSON format.') c.argument('correlation_id', type=str, help='Correlation ID of the sign-in associated with the risk detection. ' 'This property is null if the risk detection is not associated with a sign-in.') c.argument('detected_date_time', help='Date and time that the risk was detected.') c.argument('detection_timing_type', arg_type=get_enum_type(['notDefined', 'realtime', 'nearRealtime', 'offline', 'unknownFutureValue']), help='') c.argument('ip_address', type=str, help='Provides the IP address of the client from where the risk occurred.') c.argument('last_updated_date_time', help='Date and time that the risk detection was last updated.') c.argument('request_id', type=str, help='Request ID of the sign-in associated with the risk detection. This ' 'property is null if the risk detection is not associated with a sign-in.') c.argument('risk_detail', arg_type=get_enum_type(['none', 'adminGeneratedTemporaryPassword', 'userPerformedSecuredPasswordChange', 'userPerformedSecuredPasswordReset', 'adminConfirmedSigninSafe', 'aiConfirmedSigninSafe', 'userPassedMFADrivenByRiskBasedPolicy', 'adminDismissedAllRiskForUser', 'adminConfirmedSigninCompromised', 'hidden', 'adminConfirmedUserCompromised', 'unknownFutureValue']), help='') c.argument('risk_event_type', type=str, help='The type of risk event detected. The possible values are ' 'unlikelyTravel, anonymizedIPAddress, maliciousIPAddress, unfamiliarFeatures, ' 'malwareInfectedIPAddress, suspiciousIPAddress, leakedCredentials, investigationsThreatIntelligence,' ' genericadminConfirmedUserCompromised, mcasImpossibleTravel, mcasSuspiciousInboxManipulationRules, ' 'investigationsThreatIntelligenceSigninLinked, maliciousIPAddressValidCredentialsBlockedIP, and ' 'unknownFutureValue. If the risk detection is a premium detection, will show generic') c.argument('risk_level', arg_type=get_enum_type(['low', 'medium', 'high', 'hidden', 'none', 'unknownFutureValue']), help='') c.argument('risk_state', arg_type=get_enum_type(['none', 'confirmedSafe', 'remediated', 'dismissed', 'atRisk', 'confirmedCompromised', 'unknownFutureValue']), help='') c.argument('risk_type', arg_type=get_enum_type(['unlikelyTravel', 'anonymizedIPAddress', 'maliciousIPAddress', 'unfamiliarFeatures', 'malwareInfectedIPAddress', 'suspiciousIPAddress', 'leakedCredentials', 'investigationsThreatIntelligence', 'generic', 'adminConfirmedUserCompromised', 'mcasImpossibleTravel', 'mcasSuspiciousInboxManipulationRules', 'investigationsThreatIntelligenceSigninLinked', 'maliciousIPAddressValidCredentialsBlockedIP', 'unknownFutureValue']), help='') c.argument('source', type=str, help='Source of the risk detection. For example, \'activeDirectory\'.') c.argument('token_issuer_type', arg_type=get_enum_type(['AzureAD', 'ADFederationServices', 'UnknownFutureValue']), help='') c.argument('user_display_name', type=str, help='The user principal name (UPN) of the user.') c.argument('user_id', type=str, help='Unique ID of the user.') c.argument('user_principal_name', type=str, help='The user principal name (UPN) of the user.') c.argument('city', type=str, help='Provides the city where the sign-in originated. This is calculated using ' 'latitude/longitude information from the sign-in activity.', arg_group='Location') c.argument('country_or_region', type=str, help='Provides the country code info (2 letter code) where the ' 'sign-in originated. This is calculated using latitude/longitude information from the sign-in ' 'activity.', arg_group='Location') c.argument('geo_coordinates', action=AddGeoCoordinates, nargs='+', help='geoCoordinates', arg_group='Location') c.argument('state', type=str, help='Provides the State where the sign-in originated. This is calculated using ' 'latitude/longitude information from the sign-in activity.', arg_group='Location') with self.argument_context('identitysignins risk-detection-risk-detection delete-risk-detection') as c: c.argument('risk_detection_id', type=str, help='key: id of riskDetection') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins risk-detection-risk-detection list-risk-detection') as c: c.argument('orderby', nargs='+', help='Order items by property values') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins risk-detection-risk-detection show-risk-detection') as c: c.argument('risk_detection_id', type=str, help='key: id of riskDetection') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins risk-detection-risk-detection update-risk-detection') as c: c.argument('risk_detection_id', type=str, help='key: id of riskDetection') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('activity', arg_type=get_enum_type(['signin', 'user', 'unknownFutureValue']), help='') c.argument('activity_date_time', help='Date and time that the risky activity occurred.') c.argument('additional_info', type=str, help='Additional information associated with the risk detection in ' 'JSON format.') c.argument('correlation_id', type=str, help='Correlation ID of the sign-in associated with the risk detection. ' 'This property is null if the risk detection is not associated with a sign-in.') c.argument('detected_date_time', help='Date and time that the risk was detected.') c.argument('detection_timing_type', arg_type=get_enum_type(['notDefined', 'realtime', 'nearRealtime', 'offline', 'unknownFutureValue']), help='') c.argument('ip_address', type=str, help='Provides the IP address of the client from where the risk occurred.') c.argument('last_updated_date_time', help='Date and time that the risk detection was last updated.') c.argument('request_id', type=str, help='Request ID of the sign-in associated with the risk detection. This ' 'property is null if the risk detection is not associated with a sign-in.') c.argument('risk_detail', arg_type=get_enum_type(['none', 'adminGeneratedTemporaryPassword', 'userPerformedSecuredPasswordChange', 'userPerformedSecuredPasswordReset', 'adminConfirmedSigninSafe', 'aiConfirmedSigninSafe', 'userPassedMFADrivenByRiskBasedPolicy', 'adminDismissedAllRiskForUser', 'adminConfirmedSigninCompromised', 'hidden', 'adminConfirmedUserCompromised', 'unknownFutureValue']), help='') c.argument('risk_event_type', type=str, help='The type of risk event detected. The possible values are ' 'unlikelyTravel, anonymizedIPAddress, maliciousIPAddress, unfamiliarFeatures, ' 'malwareInfectedIPAddress, suspiciousIPAddress, leakedCredentials, investigationsThreatIntelligence,' ' genericadminConfirmedUserCompromised, mcasImpossibleTravel, mcasSuspiciousInboxManipulationRules, ' 'investigationsThreatIntelligenceSigninLinked, maliciousIPAddressValidCredentialsBlockedIP, and ' 'unknownFutureValue. If the risk detection is a premium detection, will show generic') c.argument('risk_level', arg_type=get_enum_type(['low', 'medium', 'high', 'hidden', 'none', 'unknownFutureValue']), help='') c.argument('risk_state', arg_type=get_enum_type(['none', 'confirmedSafe', 'remediated', 'dismissed', 'atRisk', 'confirmedCompromised', 'unknownFutureValue']), help='') c.argument('risk_type', arg_type=get_enum_type(['unlikelyTravel', 'anonymizedIPAddress', 'maliciousIPAddress', 'unfamiliarFeatures', 'malwareInfectedIPAddress', 'suspiciousIPAddress', 'leakedCredentials', 'investigationsThreatIntelligence', 'generic', 'adminConfirmedUserCompromised', 'mcasImpossibleTravel', 'mcasSuspiciousInboxManipulationRules', 'investigationsThreatIntelligenceSigninLinked', 'maliciousIPAddressValidCredentialsBlockedIP', 'unknownFutureValue']), help='') c.argument('source', type=str, help='Source of the risk detection. For example, \'activeDirectory\'.') c.argument('token_issuer_type', arg_type=get_enum_type(['AzureAD', 'ADFederationServices', 'UnknownFutureValue']), help='') c.argument('user_display_name', type=str, help='The user principal name (UPN) of the user.') c.argument('user_id', type=str, help='Unique ID of the user.') c.argument('user_principal_name', type=str, help='The user principal name (UPN) of the user.') c.argument('city', type=str, help='Provides the city where the sign-in originated. This is calculated using ' 'latitude/longitude information from the sign-in activity.', arg_group='Location') c.argument('country_or_region', type=str, help='Provides the country code info (2 letter code) where the ' 'sign-in originated. This is calculated using latitude/longitude information from the sign-in ' 'activity.', arg_group='Location') c.argument('geo_coordinates', action=AddGeoCoordinates, nargs='+', help='geoCoordinates', arg_group='Location') c.argument('state', type=str, help='Provides the State where the sign-in originated. This is calculated using ' 'latitude/longitude information from the sign-in activity.', arg_group='Location') with self.argument_context('identitysignins risky-user-risky-user create-risky-user') as c: c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('is_deleted', arg_type=get_three_state_flag(), help='Indicates whether the user is deleted. ' 'Possible values are: true, false') c.argument('is_processing', arg_type=get_three_state_flag(), help='Indicates wehther a user\'s risky state is ' 'being processed by the backend') c.argument('risk_detail', arg_type=get_enum_type(['none', 'adminGeneratedTemporaryPassword', 'userPerformedSecuredPasswordChange', 'userPerformedSecuredPasswordReset', 'adminConfirmedSigninSafe', 'aiConfirmedSigninSafe', 'userPassedMFADrivenByRiskBasedPolicy', 'adminDismissedAllRiskForUser', 'adminConfirmedSigninCompromised', 'hidden', 'adminConfirmedUserCompromised', 'unknownFutureValue']), help='') c.argument('risk_last_updated_date_time', help='The date and time that the risky user was last updated.') c.argument('risk_level', arg_type=get_enum_type(['low', 'medium', 'high', 'hidden', 'none', 'unknownFutureValue']), help='') c.argument('risk_state', arg_type=get_enum_type(['none', 'confirmedSafe', 'remediated', 'dismissed', 'atRisk', 'confirmedCompromised', 'unknownFutureValue']), help='') c.argument('user_display_name', type=str, help='Risky user display name.') c.argument('user_principal_name', type=str, help='Risky user principal name.') c.argument('history', type=validate_file_or_dict, help='The activity related to user risk level change ' 'Expected value: json-string/@json-file.') with self.argument_context('identitysignins risky-user-risky-user delete-risky-user') as c: c.argument('risky_user_id', type=str, help='key: id of riskyUser') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins risky-user-risky-user list-risky-user') as c: c.argument('orderby', nargs='+', help='Order items by property values') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins risky-user-risky-user show-risky-user') as c: c.argument('risky_user_id', type=str, help='key: id of riskyUser') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins risky-user-risky-user update-risky-user') as c: c.argument('risky_user_id', type=str, help='key: id of riskyUser') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('is_deleted', arg_type=get_three_state_flag(), help='Indicates whether the user is deleted. ' 'Possible values are: true, false') c.argument('is_processing', arg_type=get_three_state_flag(), help='Indicates wehther a user\'s risky state is ' 'being processed by the backend') c.argument('risk_detail', arg_type=get_enum_type(['none', 'adminGeneratedTemporaryPassword', 'userPerformedSecuredPasswordChange', 'userPerformedSecuredPasswordReset', 'adminConfirmedSigninSafe', 'aiConfirmedSigninSafe', 'userPassedMFADrivenByRiskBasedPolicy', 'adminDismissedAllRiskForUser', 'adminConfirmedSigninCompromised', 'hidden', 'adminConfirmedUserCompromised', 'unknownFutureValue']), help='') c.argument('risk_last_updated_date_time', help='The date and time that the risky user was last updated.') c.argument('risk_level', arg_type=get_enum_type(['low', 'medium', 'high', 'hidden', 'none', 'unknownFutureValue']), help='') c.argument('risk_state', arg_type=get_enum_type(['none', 'confirmedSafe', 'remediated', 'dismissed', 'atRisk', 'confirmedCompromised', 'unknownFutureValue']), help='') c.argument('user_display_name', type=str, help='Risky user display name.') c.argument('user_principal_name', type=str, help='Risky user principal name.') c.argument('history', type=validate_file_or_dict, help='The activity related to user risk level change ' 'Expected value: json-string/@json-file.') with self.argument_context('identitysignins risky-user confirm-compromised') as c: c.argument('user_ids', nargs='+', help='') with self.argument_context('identitysignins risky-user create-history') as c: c.argument('risky_user_id', type=str, help='key: id of riskyUser') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('is_deleted', arg_type=get_three_state_flag(), help='Indicates whether the user is deleted. ' 'Possible values are: true, false') c.argument('is_processing', arg_type=get_three_state_flag(), help='Indicates wehther a user\'s risky state is ' 'being processed by the backend') c.argument('risk_detail', arg_type=get_enum_type(['none', 'adminGeneratedTemporaryPassword', 'userPerformedSecuredPasswordChange', 'userPerformedSecuredPasswordReset', 'adminConfirmedSigninSafe', 'aiConfirmedSigninSafe', 'userPassedMFADrivenByRiskBasedPolicy', 'adminDismissedAllRiskForUser', 'adminConfirmedSigninCompromised', 'hidden', 'adminConfirmedUserCompromised', 'unknownFutureValue']), help='') c.argument('risk_last_updated_date_time', help='The date and time that the risky user was last updated.') c.argument('risk_level', arg_type=get_enum_type(['low', 'medium', 'high', 'hidden', 'none', 'unknownFutureValue']), help='') c.argument('risk_state', arg_type=get_enum_type(['none', 'confirmedSafe', 'remediated', 'dismissed', 'atRisk', 'confirmedCompromised', 'unknownFutureValue']), help='') c.argument('user_display_name', type=str, help='Risky user display name.') c.argument('user_principal_name', type=str, help='Risky user principal name.') c.argument('history', type=validate_file_or_dict, help='The activity related to user risk level change ' 'Expected value: json-string/@json-file.') c.argument('activity', action=AddActivity, nargs='+', help='riskUserActivity') c.argument('initiated_by', type=str, help='The id of actor that does the operation.') c.argument('user_id', type=str, help='The id of the user.') with self.argument_context('identitysignins risky-user delete-history') as c: c.argument('risky_user_id', type=str, help='key: id of riskyUser') c.argument('risky_user_history_item_id', type=str, help='key: id of riskyUserHistoryItem') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins risky-user dismiss') as c: c.argument('user_ids', nargs='+', help='') with self.argument_context('identitysignins risky-user list-history') as c: c.argument('risky_user_id', type=str, help='key: id of riskyUser') c.argument('orderby', nargs='+', help='Order items by property values') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins risky-user show-history') as c: c.argument('risky_user_id', type=str, help='key: id of riskyUser') c.argument('risky_user_history_item_id', type=str, help='key: id of riskyUserHistoryItem') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins risky-user update-history') as c: c.argument('risky_user_id', type=str, help='key: id of riskyUser') c.argument('risky_user_history_item_id', type=str, help='key: id of riskyUserHistoryItem') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('is_deleted', arg_type=get_three_state_flag(), help='Indicates whether the user is deleted. ' 'Possible values are: true, false') c.argument('is_processing', arg_type=get_three_state_flag(), help='Indicates wehther a user\'s risky state is ' 'being processed by the backend') c.argument('risk_detail', arg_type=get_enum_type(['none', 'adminGeneratedTemporaryPassword', 'userPerformedSecuredPasswordChange', 'userPerformedSecuredPasswordReset', 'adminConfirmedSigninSafe', 'aiConfirmedSigninSafe', 'userPassedMFADrivenByRiskBasedPolicy', 'adminDismissedAllRiskForUser', 'adminConfirmedSigninCompromised', 'hidden', 'adminConfirmedUserCompromised', 'unknownFutureValue']), help='') c.argument('risk_last_updated_date_time', help='The date and time that the risky user was last updated.') c.argument('risk_level', arg_type=get_enum_type(['low', 'medium', 'high', 'hidden', 'none', 'unknownFutureValue']), help='') c.argument('risk_state', arg_type=get_enum_type(['none', 'confirmedSafe', 'remediated', 'dismissed', 'atRisk', 'confirmedCompromised', 'unknownFutureValue']), help='') c.argument('user_display_name', type=str, help='Risky user display name.') c.argument('user_principal_name', type=str, help='Risky user principal name.') c.argument('history', type=validate_file_or_dict, help='The activity related to user risk level change ' 'Expected value: json-string/@json-file.') c.argument('activity', action=AddActivity, nargs='+', help='riskUserActivity') c.argument('initiated_by', type=str, help='The id of actor that does the operation.') c.argument('user_id', type=str, help='The id of the user.') with self.argument_context('identitysignins trust-framework-trust-framework show-trust-framework') as c: c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins trust-framework-trust-framework update-trust-framework') as c: c.argument('key_sets', type=validate_file_or_dict, help=' Expected value: json-string/@json-file.') c.argument('policies', action=AddPolicies, nargs='+', help='') with self.argument_context('identitysignins trust-framework create-key-set') as c: c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('keys', action=AddKeys, nargs='+', help='') with self.argument_context('identitysignins trust-framework create-policy') as c: c.argument('id_', options_list=['--id'], type=str, help='Read-only.') with self.argument_context('identitysignins trust-framework delete-key-set') as c: c.argument('trust_framework_key_set_id', type=str, help='key: id of trustFrameworkKeySet') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins trust-framework delete-policy') as c: c.argument('trust_framework_policy_id', type=str, help='key: id of trustFrameworkPolicy') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins trust-framework list-key-set') as c: c.argument('orderby', nargs='+', help='Order items by property values') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins trust-framework list-policy') as c: c.argument('orderby', nargs='+', help='Order items by property values') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins trust-framework set-policy-content') as c: c.argument('trust_framework_policy_id', type=str, help='key: id of trustFrameworkPolicy') c.argument('data', help='New media content.') with self.argument_context('identitysignins trust-framework show-key-set') as c: c.argument('trust_framework_key_set_id', type=str, help='key: id of trustFrameworkKeySet') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins trust-framework show-policy') as c: c.argument('trust_framework_policy_id', type=str, help='key: id of trustFrameworkPolicy') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins trust-framework show-policy-content') as c: c.argument('trust_framework_policy_id', type=str, help='key: id of trustFrameworkPolicy') with self.argument_context('identitysignins trust-framework update-key-set') as c: c.argument('trust_framework_key_set_id', type=str, help='key: id of trustFrameworkKeySet') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('keys', action=AddKeys, nargs='+', help='') with self.argument_context('identitysignins trust-framework update-policy') as c: c.argument('trust_framework_policy_id', type=str, help='key: id of trustFrameworkPolicy') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') with self.argument_context('identitysignins trust-framework-key-set generate-key') as c: c.argument('trust_framework_key_set_id', type=str, help='key: id of trustFrameworkKeySet') c.argument('use', type=str, help='') c.argument('kty', type=str, help='') c.argument('nbf', type=int, help='') c.argument('exp', type=int, help='') with self.argument_context('identitysignins trust-framework-key-set show-active-key') as c: c.argument('trust_framework_key_set_id', type=str, help='key: id of trustFrameworkKeySet') with self.argument_context('identitysignins trust-framework-key-set upload-certificate') as c: c.argument('trust_framework_key_set_id', type=str, help='key: id of trustFrameworkKeySet') c.argument('key', type=str, help='') with self.argument_context('identitysignins trust-framework-key-set upload-pkcs12') as c: c.argument('trust_framework_key_set_id', type=str, help='key: id of trustFrameworkKeySet') c.argument('key', type=str, help='') c.argument('password', type=str, help='') with self.argument_context('identitysignins trust-framework-key-set upload-secret') as c: c.argument('trust_framework_key_set_id', type=str, help='key: id of trustFrameworkKeySet') c.argument('use', type=str, help='') c.argument('k', type=str, help='') c.argument('nbf', type=int, help='') c.argument('exp', type=int, help='') with self.argument_context('identitysignins user delete-authentication') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins user delete-information-protection') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins user show-authentication') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins user show-information-protection') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins user update-authentication') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('email_methods', action=AddEmailMethods, nargs='+', help='') c.argument('fido2_methods', action=AddFido2Methods, nargs='+', help='') c.argument('methods', action=AddMethods, nargs='+', help='') c.argument('microsoft_authenticator_methods', action=AddMicrosoftAuthenticatorMethods, nargs='+', help='') c.argument('oath_methods', action=AddOathMethods, nargs='+', help='') c.argument('operations', action=AddOperations, nargs='+', help='') c.argument('passwordless_microsoft_authenticator_methods', action=AddPasswordlessMicrosoftAuthenticatorMethods, nargs='+', help='') c.argument('password_methods', action=AddPasswordMethods, nargs='+', help='') c.argument('phone_methods', action=AddPhoneMethods, nargs='+', help='') c.argument('security_question_methods', action=AddSecurityQuestionMethods, nargs='+', help='') c.argument('temporary_access_pass_methods', action=AddTemporaryAccessPassMethods, nargs='+', help='') with self.argument_context('identitysignins user update-information-protection') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('data_loss_prevention_policies', action=AddDataLossPreventionPolicies, nargs='+', help='') c.argument('sensitivity_labels', type=validate_file_or_dict, help=' Expected value: json-string/@json-file.') c.argument('sensitivity_policy_settings', action=AddSensitivityPolicySettings, nargs='+', help='sensitivityPolicySettings') c.argument('threat_assessment_requests', type=validate_file_or_dict, help=' Expected value: ' 'json-string/@json-file.') c.argument('microsoft_graph_entity_id', type=str, help='Read-only.', arg_group='Policy') c.argument('labels', type=validate_file_or_dict, help=' Expected value: json-string/@json-file.', arg_group='Policy') with self.argument_context('identitysignins user-authentication create-email-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') with self.argument_context('identitysignins user-authentication create-fido2-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') with self.argument_context('identitysignins user-authentication create-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') with self.argument_context('identitysignins user-authentication create-microsoft-authenticator-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') with self.argument_context('identitysignins user-authentication create-oath-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') with self.argument_context('identitysignins user-authentication create-operation') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('created_date_time', help='') c.argument('last_action_date_time', help='') c.argument('resource_location', type=str, help='') c.argument('status', arg_type=get_enum_type(['notstarted', 'running', 'succeeded', 'failed']), help='') c.argument('status_detail', type=str, help='') with self.argument_context('identitysignins user-authentication create-password-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('creation_date_time', help='') c.argument('password', type=str, help='') with self.argument_context('identitysignins user-authentication create-passwordless-microsoft-authenticator-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') with self.argument_context('identitysignins user-authentication create-phone-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('phone_number', type=str, help='') c.argument('phone_type', arg_type=get_enum_type(['mobile', 'alternateMobile', 'office', 'unknownFutureValue']), help='') c.argument('sms_sign_in_state', arg_type=get_enum_type(['notSupported', 'notAllowedByPolicy', 'notEnabled', 'phoneNumberNotUnique', 'ready', 'notConfigured', 'unknownFutureValue']), help='') with self.argument_context('identitysignins user-authentication create-security-question-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') with self.argument_context('identitysignins user-authentication create-temporary-access-pass-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') with self.argument_context('identitysignins user-authentication delete-email-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('email_authentication_method_id', type=str, help='key: id of emailAuthenticationMethod') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins user-authentication delete-fido2-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('fido2_authentication_method_id', type=str, help='key: id of fido2AuthenticationMethod') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins user-authentication delete-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('authentication_method_id', type=str, help='key: id of authenticationMethod') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins user-authentication delete-microsoft-authenticator-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('microsoft_authenticator_authentication_method_id', type=str, help='key: id of ' 'microsoftAuthenticatorAuthenticationMethod') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins user-authentication delete-oath-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('software_oath_authentication_method_id', type=str, help='key: id of softwareOathAuthenticationMetho' 'd') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins user-authentication delete-operation') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('long_running_operation_id', type=str, help='key: id of longRunningOperation') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins user-authentication delete-password-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('password_authentication_method_id', type=str, help='key: id of passwordAuthenticationMethod') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins user-authentication delete-passwordless-microsoft-authenticator-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('passwordless_microsoft_authenticator_authentication_method_id', type=str, help='key: id of ' 'passwordlessMicrosoftAuthenticatorAuthenticationMethod') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins user-authentication delete-phone-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('phone_authentication_method_id', type=str, help='key: id of phoneAuthenticationMethod') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins user-authentication delete-security-question-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('security_question_authentication_method_id', type=str, help='key: id of ' 'securityQuestionAuthenticationMethod') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins user-authentication delete-temporary-access-pass-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('temporary_access_pass_authentication_method_id', type=str, help='key: id of ' 'temporaryAccessPassAuthenticationMethod') c.argument('if_match', type=str, help='ETag') with self.argument_context('identitysignins user-authentication list-email-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('orderby', nargs='+', help='Order items by property values') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins user-authentication list-fido2-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('orderby', nargs='+', help='Order items by property values') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins user-authentication list-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('orderby', nargs='+', help='Order items by property values') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins user-authentication list-microsoft-authenticator-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('orderby', nargs='+', help='Order items by property values') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins user-authentication list-oath-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('orderby', nargs='+', help='Order items by property values') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins user-authentication list-operation') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('orderby', nargs='+', help='Order items by property values') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins user-authentication list-password-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('orderby', nargs='+', help='Order items by property values') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins user-authentication list-passwordless-microsoft-authenticator-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('orderby', nargs='+', help='Order items by property values') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins user-authentication list-phone-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('orderby', nargs='+', help='Order items by property values') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins user-authentication list-security-question-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('orderby', nargs='+', help='Order items by property values') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins user-authentication list-temporary-access-pass-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('orderby', nargs='+', help='Order items by property values') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins user-authentication show-email-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('email_authentication_method_id', type=str, help='key: id of emailAuthenticationMethod') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins user-authentication show-fido2-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('fido2_authentication_method_id', type=str, help='key: id of fido2AuthenticationMethod') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins user-authentication show-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('authentication_method_id', type=str, help='key: id of authenticationMethod') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins user-authentication show-microsoft-authenticator-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('microsoft_authenticator_authentication_method_id', type=str, help='key: id of ' 'microsoftAuthenticatorAuthenticationMethod') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins user-authentication show-oath-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('software_oath_authentication_method_id', type=str, help='key: id of softwareOathAuthenticationMetho' 'd') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins user-authentication show-operation') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('long_running_operation_id', type=str, help='key: id of longRunningOperation') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins user-authentication show-password-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('password_authentication_method_id', type=str, help='key: id of passwordAuthenticationMethod') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins user-authentication show-passwordless-microsoft-authenticator-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('passwordless_microsoft_authenticator_authentication_method_id', type=str, help='key: id of ' 'passwordlessMicrosoftAuthenticatorAuthenticationMethod') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins user-authentication show-phone-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('phone_authentication_method_id', type=str, help='key: id of phoneAuthenticationMethod') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins user-authentication show-security-question-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('security_question_authentication_method_id', type=str, help='key: id of ' 'securityQuestionAuthenticationMethod') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins user-authentication show-temporary-access-pass-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('temporary_access_pass_authentication_method_id', type=str, help='key: id of ' 'temporaryAccessPassAuthenticationMethod') c.argument('select', nargs='+', help='Select properties to be returned') c.argument('expand', nargs='+', help='Expand related entities') with self.argument_context('identitysignins user-authentication update-email-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('email_authentication_method_id', type=str, help='key: id of emailAuthenticationMethod') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') with self.argument_context('identitysignins user-authentication update-fido2-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('fido2_authentication_method_id', type=str, help='key: id of fido2AuthenticationMethod') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') with self.argument_context('identitysignins user-authentication update-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('authentication_method_id', type=str, help='key: id of authenticationMethod') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') with self.argument_context('identitysignins user-authentication update-microsoft-authenticator-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('microsoft_authenticator_authentication_method_id', type=str, help='key: id of ' 'microsoftAuthenticatorAuthenticationMethod') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') with self.argument_context('identitysignins user-authentication update-oath-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('software_oath_authentication_method_id', type=str, help='key: id of softwareOathAuthenticationMetho' 'd') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') with self.argument_context('identitysignins user-authentication update-operation') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('long_running_operation_id', type=str, help='key: id of longRunningOperation') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('created_date_time', help='') c.argument('last_action_date_time', help='') c.argument('resource_location', type=str, help='') c.argument('status', arg_type=get_enum_type(['notstarted', 'running', 'succeeded', 'failed']), help='') c.argument('status_detail', type=str, help='') with self.argument_context('identitysignins user-authentication update-password-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('password_authentication_method_id', type=str, help='key: id of passwordAuthenticationMethod') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('creation_date_time', help='') c.argument('password', type=str, help='') with self.argument_context('identitysignins user-authentication update-passwordless-microsoft-authenticator-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('passwordless_microsoft_authenticator_authentication_method_id', type=str, help='key: id of ' 'passwordlessMicrosoftAuthenticatorAuthenticationMethod') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') with self.argument_context('identitysignins user-authentication update-phone-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('phone_authentication_method_id', type=str, help='key: id of phoneAuthenticationMethod') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') c.argument('phone_number', type=str, help='') c.argument('phone_type', arg_type=get_enum_type(['mobile', 'alternateMobile', 'office', 'unknownFutureValue']), help='') c.argument('sms_sign_in_state', arg_type=get_enum_type(['notSupported', 'notAllowedByPolicy', 'notEnabled', 'phoneNumberNotUnique', 'ready', 'notConfigured', 'unknownFutureValue']), help='') with self.argument_context('identitysignins user-authentication update-security-question-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('security_question_authentication_method_id', type=str, help='key: id of ' 'securityQuestionAuthenticationMethod') c.argument('id_', options_list=['--id'], type=str, help='Read-only.') with self.argument_context('identitysignins user-authentication update-temporary-access-pass-method') as c: c.argument('user_id', type=str, help='key: id of user') c.argument('temporary_access_pass_authentication_method_id', type=str, help='key: id of ' 'temporaryAccessPassAuthenticationMethod') c.argument('id_', options_list=['--id'], type=str, help='Read-only.')

75.656306

137

0.654885

19,717

170,378

5.527464

0.039712

0.101243

0.055714

0.03984

0.963289

0.958912

0.953617

0.943901

0.93656

0.924971

0

0.003926

0.212187

170,378

2,251

138

75.689916

0.808025

0.003146

0

0.776989

0

0.019767

0.470026

0.13454

0

1

0.000507

false

0.033958

0.001521

0

0.002027

0

null

0

1

0

1

0

null

0

7

10720fa3acad439ed181b3a2ce2f9084c8a83584

358

py

Python

datasets/__init__.py

milesgray/CALAE

a2ab2f7d9ee17cc6c24ff6ac370b0373537079ac

[ "Apache-2.0" ]

null

datasets/__init__.py

milesgray/CALAE

a2ab2f7d9ee17cc6c24ff6ac370b0373537079ac

[ "Apache-2.0" ]

null

datasets/__init__.py

milesgray/CALAE

a2ab2f7d9ee17cc6c24ff6ac370b0373537079ac

[ "Apache-2.0" ]

null

from .fractal import Fractal, FractalLabel, FractalLabelSR from .fractal import FractalTUNITContrastive from .fractal import make_fractal_alae_dataloader from .fractal import make_fractal_clr_dataloader from .fractal import make_fractal_clr_sr_dataloader from .fractal import make_fractal_TUNIT_dataloader from .celeba import CelebA, make_celeba_dataloader

39.777778

58

0.882682

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358

6.543478

0.282609

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0.398671

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0

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358

8

59

44.75

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true

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1

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null

0

1

0

1

0

1

0

7

1075bb0449cf1a6c46737d4a477c5136cda10e14

41

py

Python

omw/blueprints/ili/__init__.py

tnaskret/OMW

93bc5df8b163a523dc09e6d8138df8807b1b2c02

[ "MIT" ]

null

omw/blueprints/ili/__init__.py

tnaskret/OMW

93bc5df8b163a523dc09e6d8138df8807b1b2c02

[ "MIT" ]

null

omw/blueprints/ili/__init__.py

tnaskret/OMW

93bc5df8b163a523dc09e6d8138df8807b1b2c02

[ "MIT" ]

null

from omw.blueprints.ili.views import ili

20.5

40

0.829268

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41

4.857143

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0

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41

1

41

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null

0

1

0

1

0

1

0

7

1098f2d5c6b733d2d311ebfa12b07ca277c6c872

8,231

py

Python

zbpy/basicqueries.py

zetabase/zbpy

80a7d6bc150486e67f8dff2ae65aaab135d69c2f

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

null

zbpy/basicqueries.py

zetabase/zbpy

80a7d6bc150486e67f8dff2ae65aaab135d69c2f

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

null

zbpy/basicqueries.py

zetabase/zbpy

80a7d6bc150486e67f8dff2ae65aaab135d69c2f

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

null

from . import zbprotocol_pb2 class QueryAnd(): def __init__(self, left, right): """ Initializes QueryAnd object. Parameters: left: SubQueryConvertible right: SubQueryConvertible """ self.left = left #SubQueryConvertible self.right = right #SubQueryConvertible def to_sub_query(self): """ Returns TableSubQuery object. """ return zbprotocol_pb2.TableSubQuery( isCompound=True, compoundOperator=zbprotocol_pb2.QueryLogicalOperator.LOGICAL_AND, compoundLeft=self.left.to_sub_query(), compoundRight=self.right.to_sub_query(), comparison=None ) class QueryOr(): def __init__(self, left, right): """ Initializes QueryOr object. Parameters: left: SubQueryConvertible right: SubQueryConvertible """ self.right = right #SubQueryConvertible self.left = left #SubQueryConvertible def to_sub_query(self): """ Returns TableSubQuery object. """ return zbprotocol_pb2.TableSubQuery( isCompound=True, compoundOperator=zbprotocol_pb2.QueryLogicalOperator.LOGICAL_OR, compoundLeft=self.left.to_sub_query(), compoundRight=self.right.to_sub_query(), comparison=None ) class QueryEquals(): def __init__(self, field, comp_value): """ Initializes QueryEquals object. Parameters: field: string comp_value: any (sorta) """ self.field = field self.comp_value = comp_value def to_sub_query(self): """ Returns TableSubQuery object. """ value = self.comp_value field = self.field value_str, q_order = query_object_typify(value) return zbprotocol_pb2.TableSubQuery( isCompound=False, compoundOperator=0, compoundLeft=None, compoundRight=None, comparison=zbprotocol_pb2.TableSubqueryComparison( op=zbprotocol_pb2.QueryOperator.EQUALS, field=field, value=value_str, ordering=q_order ) ) class QueryNotEqual(): def __init__(self, field, comp_value): """ Initializes QueryEquals object. Parameters: field: string comp_value: any (sorta) """ self.field = field self.comp_value = comp_value def to_sub_query(self): """ Returns TableSubQuery object. """ value = self.comp_value field = self.field value_str, q_order = query_object_typify(value) return zbprotocol_pb2.TableSubQuery( isCompound=False, compoundOperator=0, compoundLeft=None, compoundRight=None, comparison=zbprotocol_pb2.TableSubqueryComparison( op=zbprotocol_pb2.QueryOperator.NOT_EQUALS, field=field, value=value_str, ordering=q_order ) ) class QueryGreaterThan(): def __init__(self, field, comp_value): """ Initializes QueryGreaterThan object. Parameters: field: string comp_value: any """ self.field = field self.comp_value = comp_value def to_sub_query(self): """ Return TableSubQuery object. """ value = self.comp_value field = self.field value_str, q_order = query_object_typify(value) return zbprotocol_pb2.TableSubQuery( isCompound=False, compoundOperator=0, compoundLeft=None, compoundRight=None, comparison=zbprotocol_pb2.TableSubqueryComparison( op=zbprotocol_pb2.QueryOperator.GREATER_THAN, field=field, value=value_str, ordering=q_order ) ) class QueryGreaterThanEqual(): def __init__(self, field, comp_value): """ Initializes QueryGreaterThanEqual object. Parameters: field: string value: any """ self.field = field self.comp_value = comp_value def to_sub_query(self): """ Returns a TableSubQuery object. """ value = self.comp_value field = self.field value_str, q_order = query_object_typify(value) return zbprotocol_pb2.TableSubQuery( isCompound=False, compoundOperator=0, compoundLeft=None, compoundRight=None, comparison=zbprotocol_pb2.TableSubqueryComparison( op=zbprotocol_pb2.QueryOperator.GREATER_THAN_EQ, field=field, value=value_str, ordering=q_order ) ) class QueryLessThan(): def __init__(self, field, comp_value): """ Initializes QuerylessThan object Parameters: field: string comp_value: any """ self.field = field self.comp_value = comp_value def to_sub_query(self): """ Returns a TableSubQuery object. """ value = self.comp_value field = self.field value_str, q_order = query_object_typify(value) return zbprotocol_pb2.TableSubQuery( isCompound=False, compoundOperator=0, compoundLeft=None, compoundRight=None, comparison=zbprotocol_pb2.TableSubqueryComparison( op=zbprotocol_pb2.QueryOperator.LESS_THAN, field=field, value=value_str, ordering=q_order ) ) class QueryLessThanEqual(): def __init__(self, field, comp_value): """ Initializes QueryLessThanEqual object. Parameters: field: string comp_value: any """ self.field = field self.comp_value = comp_value def to_sub_query(self): """ Returns TableSubQuery object. """ value = self.comp_value field = self.field value_str, q_order = query_object_typify(value) return zbprotocol_pb2.TableSubQuery( isCompound=False, compoundOperator=0, compoundLeft=None, compoundRight=None, comparison=zbprotocol_pb2.TableSubqueryComparison( op=zbprotocol_pb2.QueryOperator.LESS_THAN_EQ, field=field, value=value_str, ordering=q_order ) ) class QueryTextSearch(): def __init__(self, field, comp_value): """ Initializes QueryTextSearch object. Parameters: field: string comp_value: any """ self.field = field self.comp_value = comp_value def to_sub_query(self): """ Returns TableSubQuery object. """ value = self.comp_value field = self.field value_str, q_order = query_object_typify(value) q_order = zbprotocol_pb2.QueryOrdering.FULL_TEXT return zbprotocol_pb2.TableSubQuery( isCompound=False, compoundOperator=0, compoundLeft=None, compoundRight=None, comparison=zbprotocol_pb2.TableSubqueryComparison( op=zbprotocol_pb2.QueryOperator.TEXT_SEARCH, field=field, value=value_str, ordering=q_order ) ) def query_object_typify(value): """ Returns string, QueryOrdering. Parameters: value: any """ q_order = zbprotocol_pb2.QueryOrdering.LEXICOGRAPHIC if isinstance(value, int) or isinstance(value, float): q_order = zbprotocol_pb2.QueryOrdering.REAL_NUMBERS value_str = str(value) else: value_str = str(value) return value_str, q_order

27.345515

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721

8,231

6.174757

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0.068733

0.040881

0.02628

0.88814

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0.834232

0.763702

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0

null

0

1

0

1

0

null

0

7

52c78318354f76710484c56eb6d49370c354aa19

127

py

Python

jj/http/__init__.py

TeoDV/jj

a58d91ad7b37ba3115daea4890190abede8f3353

[ "Apache-2.0" ]

4

2020-09-08T08:14:21.000Z

2022-01-27T19:22:53.000Z

jj/http/__init__.py

TeoDV/jj

a58d91ad7b37ba3115daea4890190abede8f3353

[ "Apache-2.0" ]

19

2018-02-13T05:51:25.000Z

2022-03-27T22:48:11.000Z

jj/http/__init__.py

TeoDV/jj

a58d91ad7b37ba3115daea4890190abede8f3353

[ "Apache-2.0" ]

3

2017-11-17T13:25:23.000Z

2022-02-03T12:57:00.000Z

from .codes import * # noqa: F401, F403 from .headers import * # noqa: F401, F403 from .methods import * # noqa: F401, F403

31.75

42

0.669291

18

127

4.722222

0.444444

0.352941

0.494118

0.635294

0.517647

0

0.18

0.212598

127

3

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42.333333

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true

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1

0

1

0

null

0

1

0

1

0

7

5e0978fca6216486da96347e01a64ff5c5caeabf

136

py

Python

canbeta/child/nodes/__init__.py

FROM-THE-EARTH/canbeta

d41cf1b3dd926c5144dc5086f42943a0594c478b

[ "MIT" ]

1

2021-06-27T10:50:37.000Z

canbeta/child/nodes/__init__.py

FROM-THE-EARTH/canbeta

d41cf1b3dd926c5144dc5086f42943a0594c478b

[ "MIT" ]

5

2021-06-19T08:33:47.000Z

2021-06-19T08:59:30.000Z

canbeta/child/nodes/__init__.py

FROM-THE-EARTH/canbeta

d41cf1b3dd926c5144dc5086f42943a0594c478b

[ "MIT" ]

null

from can09.child.nodes.child_server_node import ChildServerNode from can09.child.nodes.mission_standby_node import MissionStandbyNode

27.2

69

0.882353

18

136

6.444444

0.611111

0.155172

0.241379

0.327586

0

0.031746

0.073529

136

4

70

34

0.888889

0

1

0

true

0

1

0

1

0

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null

0

1

0

1

0

null

0

1

0

1

0

1

0

7

5e17b8938bf770c704a3fe619f707e07ea52cf37

330

py

Python

yowsup/layers/protocol_presence/protocolentities/__init__.py

rihbyne/yowsup

06581618fdba54aa51041624e19d5dce64b054ef

[ "MIT" ]

1

2019-12-16T11:00:06.000Z

yowsup/layers/protocol_presence/protocolentities/__init__.py

pasinit/yowsup

894007650bf3d75ef7af4a0e57e84dc7cccc4dfe

[ "MIT" ]

null

yowsup/layers/protocol_presence/protocolentities/__init__.py

pasinit/yowsup

894007650bf3d75ef7af4a0e57e84dc7cccc4dfe

[ "MIT" ]

3

2017-08-18T21:24:46.000Z

2018-09-07T21:07:39.000Z

from .presence import PresenceProtocolEntity from .presence_available import AvailablePresenceProtocolEntity from .presence_unavailable import UnavailablePresenceProtocolEntity from .presence_subscribe import SubscribePresenceProtocolEntity from .presence_unsubscribe import UnsubscribePresenceProtocolEntity

55

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0.860606

24

330

11.666667

0.5

0.214286

0

0.124242

330

5

69

66

0.968858

0

1

0

true

0

1

0

1

0

1

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1

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1

0

null

0

1

0

1

0

1

0

7

5e1c928b579dafdbae96737c635490afae634714

258

py

Python

python/testData/inspections/PyUnresolvedReferencesInspection/UnusedUnresolvedNameImportedSeveralTimes/a.py

teddywest32/intellij-community

e0268d7a1da1d318b441001448cdd3e8929b2f29

[ "Apache-2.0" ]

null

python/testData/inspections/PyUnresolvedReferencesInspection/UnusedUnresolvedNameImportedSeveralTimes/a.py

teddywest32/intellij-community

e0268d7a1da1d318b441001448cdd3e8929b2f29

[ "Apache-2.0" ]

null

python/testData/inspections/PyUnresolvedReferencesInspection/UnusedUnresolvedNameImportedSeveralTimes/a.py

teddywest32/intellij-community

e0268d7a1da1d318b441001448cdd3e8929b2f29

[ "Apache-2.0" ]

1

2020-11-27T10:36:50.000Z

<warning descr="Unused import statement">from my_module import <error descr="Unresolved reference 'eggs'">eggs</error></warning> <warning descr="Unused import statement">from my_module import <error descr="Unresolved reference 'eggs'">eggs</error></warning>

86

128

0.782946

34

258

5.882353

0.352941

0.12

0.18

0.24

1

0

0.077519

258

2

129

0.840336

0

1

0

0.387597

0

null

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0

null

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0

1

0

1

0

1

0

null

0

1

0

1

0

12

eaa825d3ea4d037afc3128bfcb68d181c862f970

1,391

py

Python

bloop/ext/pendulum.py

monoflo/bloop

c476298e5a40decf9fdf2ed50df74be8f91fdffd

[ "MIT" ]

null

bloop/ext/pendulum.py

monoflo/bloop

c476298e5a40decf9fdf2ed50df74be8f91fdffd

[ "MIT" ]

null

bloop/ext/pendulum.py

monoflo/bloop

c476298e5a40decf9fdf2ed50df74be8f91fdffd

[ "MIT" ]

null

import pendulum from .. import types # https://github.com/sdispater/pendulum/issues/97 DEFAULT_TIMEZONE = "utc" class DateTime(types.DateTime): python_type = pendulum.Pendulum def __init__(self, timezone=DEFAULT_TIMEZONE): self.timezone = timezone super().__init__() def dynamo_dump(self, value, *, context, **kwargs): if value is None: return None value = value.in_timezone("utc") return super().dynamo_dump(value, context=context, **kwargs) def dynamo_load(self, value, *, context, **kwargs): if value is None: return None dt = super().dynamo_load(value, context=context, **kwargs) return pendulum.instance(dt).in_timezone(self.timezone) class Timestamp(types.Timestamp): python_type = pendulum.Pendulum def __init__(self, timezone=DEFAULT_TIMEZONE): self.timezone = timezone super().__init__() def dynamo_dump(self, value, *, context, **kwargs): if value is None: return None value = value.in_timezone("utc") return super().dynamo_dump(value, context=context, **kwargs) def dynamo_load(self, value, *, context, **kwargs): if value is None: return None dt = super().dynamo_load(value, context=context, **kwargs) return pendulum.instance(dt).in_timezone(self.timezone)

28.979167

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0.238677

1,391

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false

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0

0.606061

0

null

0

1

0

1

0

null

0

7

eaf0cf989c05432f3fcf643b0e316101ed78ed1d

155

py

Python

app/blueprints/cms_main/__init__.py

lvyaoo/wx-open-project

6f6683c5267fac50b6c8479c148aa1f35cf0f930

[ "MIT" ]

null

app/blueprints/cms_main/__init__.py

lvyaoo/wx-open-project

6f6683c5267fac50b6c8479c148aa1f35cf0f930

[ "MIT" ]

null

app/blueprints/cms_main/__init__.py

lvyaoo/wx-open-project

6f6683c5267fac50b6c8479c148aa1f35cf0f930

[ "MIT" ]

null

# -*- coding: utf-8 -*- from flask import Blueprint bp_cms_main = Blueprint('bp_cms_main', __name__, static_folder='static') from . import extensions

15.5

72

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0.271845

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0

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1

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1

0

8

dc75ac6b6364ed14d4e0014dc3d7aca8febfc914

7,022

py

Python

src/sentry/migrations/0001_initial.py

rogerhu/sentry

ee2b190e92003abe0f538b2df5b686e425df1200

[ "BSD-3-Clause" ]

2

2015-10-14T12:45:32.000Z

2016-01-27T03:24:43.000Z

src/sentry/migrations/0001_initial.py

simmetria/sentry

9731f26adb44847d1c883cca108afc0755cf21cc

[ "BSD-3-Clause" ]

null

src/sentry/migrations/0001_initial.py

simmetria/sentry

9731f26adb44847d1c883cca108afc0755cf21cc

[ "BSD-3-Clause" ]

null

# encoding: utf-8 import datetime from south.db import db from south.v2 import SchemaMigration from django.db import models class Migration(SchemaMigration): def forwards(self, orm): # Adding model 'GroupedMessage' db.create_table('sentry_groupedmessage', ( ('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)), ('logger', self.gf('django.db.models.fields.CharField')(default='root', max_length=64, db_index=True, blank=True)), ('class_name', self.gf('django.db.models.fields.CharField')(db_index=True, max_length=128, null=True, blank=True)), ('level', self.gf('django.db.models.fields.PositiveIntegerField')(default=40, db_index=True, blank=True)), ('message', self.gf('django.db.models.fields.TextField')()), ('traceback', self.gf('django.db.models.fields.TextField')(null=True, blank=True)), ('view', self.gf('django.db.models.fields.CharField')(max_length=200, db_index=True)), ('url', self.gf('django.db.models.fields.URLField')(max_length=200, null=True, blank=True)), ('server_name', self.gf('django.db.models.fields.CharField')(max_length=128, db_index=True)), ('checksum', self.gf('django.db.models.fields.CharField')(max_length=32, db_index=True)), ('status', self.gf('django.db.models.fields.PositiveIntegerField')(default=0)), ('times_seen', self.gf('django.db.models.fields.PositiveIntegerField')(default=1)), ('last_seen', self.gf('django.db.models.fields.DateTimeField')(default=datetime.datetime.now, db_index=True)), ('first_seen', self.gf('django.db.models.fields.DateTimeField')(default=datetime.datetime.now, db_index=True)), )) db.send_create_signal('sentry', ['GroupedMessage']) # Adding unique constraint on 'GroupedMessage', fields ['logger', 'view', 'checksum'] db.create_unique('sentry_groupedmessage', ['logger', 'view', 'checksum']) # Adding model 'Message' db.create_table('sentry_message', ( ('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)), ('logger', self.gf('django.db.models.fields.CharField')(default='root', max_length=64, db_index=True, blank=True)), ('class_name', self.gf('django.db.models.fields.CharField')(db_index=True, max_length=128, null=True, blank=True)), ('level', self.gf('django.db.models.fields.PositiveIntegerField')(default=40, db_index=True, blank=True)), ('message', self.gf('django.db.models.fields.TextField')()), ('traceback', self.gf('django.db.models.fields.TextField')(null=True, blank=True)), ('view', self.gf('django.db.models.fields.CharField')(max_length=200, db_index=True)), ('url', self.gf('django.db.models.fields.URLField')(max_length=200, null=True, blank=True)), ('server_name', self.gf('django.db.models.fields.CharField')(max_length=128, db_index=True)), ('checksum', self.gf('django.db.models.fields.CharField')(max_length=32, db_index=True)), ('datetime', self.gf('django.db.models.fields.DateTimeField')(default=datetime.datetime.now, db_index=True)), ('data', self.gf('django.db.models.fields.TextField')(null=True, blank=True)), )) db.send_create_signal('sentry', ['Message']) def backwards(self, orm): # Deleting model 'GroupedMessage' db.delete_table('sentry_groupedmessage') # Removing unique constraint on 'GroupedMessage', fields ['logger', 'view', 'checksum'] db.delete_unique('sentry_groupedmessage', ['logger', 'view', 'checksum']) # Deleting model 'Message' db.delete_table('sentry_message') models = { 'sentry.groupedmessage': { 'Meta': {'unique_together': "(('logger', 'view', 'checksum'),)", 'object_name': 'GroupedMessage'}, 'checksum': ('django.db.models.fields.CharField', [], {'max_length': '32', 'db_index': 'True'}), 'class_name': ('django.db.models.fields.CharField', [], {'db_index': 'True', 'max_length': '128', 'null': 'True', 'blank': 'True'}), 'first_seen': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now', 'db_index': 'True'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'last_seen': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now', 'db_index': 'True'}), 'level': ('django.db.models.fields.PositiveIntegerField', [], {'default': '40', 'db_index': 'True', 'blank': 'True'}), 'logger': ('django.db.models.fields.CharField', [], {'default': "'root'", 'max_length': '64', 'db_index': 'True', 'blank': 'True'}), 'message': ('django.db.models.fields.TextField', [], {}), 'server_name': ('django.db.models.fields.CharField', [], {'max_length': '128', 'db_index': 'True'}), 'status': ('django.db.models.fields.PositiveIntegerField', [], {'default': '0'}), 'times_seen': ('django.db.models.fields.PositiveIntegerField', [], {'default': '1'}), 'traceback': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}), 'url': ('django.db.models.fields.URLField', [], {'max_length': '200', 'null': 'True', 'blank': 'True'}), 'view': ('django.db.models.fields.CharField', [], {'max_length': '200', 'db_index': 'True'}) }, 'sentry.message': { 'Meta': {'object_name': 'Message'}, 'checksum': ('django.db.models.fields.CharField', [], {'max_length': '32', 'db_index': 'True'}), 'class_name': ('django.db.models.fields.CharField', [], {'db_index': 'True', 'max_length': '128', 'null': 'True', 'blank': 'True'}), 'data': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}), 'datetime': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now', 'db_index': 'True'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'level': ('django.db.models.fields.PositiveIntegerField', [], {'default': '40', 'db_index': 'True', 'blank': 'True'}), 'logger': ('django.db.models.fields.CharField', [], {'default': "'root'", 'max_length': '64', 'db_index': 'True', 'blank': 'True'}), 'message': ('django.db.models.fields.TextField', [], {}), 'server_name': ('django.db.models.fields.CharField', [], {'max_length': '128', 'db_index': 'True'}), 'traceback': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}), 'url': ('django.db.models.fields.URLField', [], {'max_length': '200', 'null': 'True', 'blank': 'True'}), 'view': ('django.db.models.fields.CharField', [], {'max_length': '255', 'db_index': 'True'}) } } complete_apps = ['sentry']

70.929293

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dc786cb3af9264f6501fa56b19d2641e0969fd5f

4,954

py

Python

modulo2/2-classificadores/2.4-resnet/model.py

fossabot/unifacisa-visao-computacional

14aef22a3e7fe10ee820d31ce12ad21a3cad7b0b

[ "MIT" ]

null

modulo2/2-classificadores/2.4-resnet/model.py

fossabot/unifacisa-visao-computacional

14aef22a3e7fe10ee820d31ce12ad21a3cad7b0b

[ "MIT" ]

null

modulo2/2-classificadores/2.4-resnet/model.py

fossabot/unifacisa-visao-computacional

14aef22a3e7fe10ee820d31ce12ad21a3cad7b0b

[ "MIT" ]

1

2021-02-06T00:49:32.000Z

import torch import torch.nn as nn import math class Resnet18(nn.Module): def __init__(self, num_classes=1000): super(Resnet18, self).__init__() ResNet( (conv1): Conv2d(3, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False) (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (maxpool): MaxPool2d(kernel_size=3, stride=2, padding=1, dilation=1, ceil_mode=False) (layer1): Sequential( (0): BasicBlock( (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (1): BasicBlock( (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (layer2): Sequential( (0): BasicBlock( (conv1): Conv2d(64, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False) (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (downsample): Sequential( (0): Conv2d(64, 128, kernel_size=(1, 1), stride=(2, 2), bias=False) (1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (1): BasicBlock( (conv1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (layer3): Sequential( (0): BasicBlock( (conv1): Conv2d(128, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False) (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (downsample): Sequential( (0): Conv2d(128, 256, kernel_size=(1, 1), stride=(2, 2), bias=False) (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (1): BasicBlock( (conv1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (layer4): Sequential( (0): BasicBlock( (conv1): Conv2d(256, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False) (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (downsample): Sequential( (0): Conv2d(256, 512, kernel_size=(1, 1), stride=(2, 2), bias=False) (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (1): BasicBlock( (conv1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (avgpool): AdaptiveAvgPool2d(output_size=(1, 1)) Linear(in_features=512, out_features=1000, bias=True) def forward(self, x): x = self.features(x) x = torch.flatten(x, 1) x = self.classifier(x) return x

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f492053f9fc9b2894b027e98714c8641adf16be5

172

py

Python

librespot/audio/HaltListener.py

JeffmeisterJ/librespot-python

0e0e1db65aa40262bd13479b97f81ae8c29ae049

[ "Apache-2.0" ]

1

2021-12-15T22:44:46.000Z

librespot/audio/HaltListener.py

JeffmeisterJ/librespot-python

0e0e1db65aa40262bd13479b97f81ae8c29ae049

[ "Apache-2.0" ]

12

2021-10-06T02:18:44.000Z

2022-02-07T02:16:47.000Z

librespot/audio/HaltListener.py

JeffmeisterJ/librespot-python

0e0e1db65aa40262bd13479b97f81ae8c29ae049

[ "Apache-2.0" ]

null

class HaltListener: def stream_read_halted(self, chunk: int, _time: int) -> None: pass def stream_read_resumed(self, chunk: int, _time: int): pass

24.571429

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0.651163

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7

76122c49745cad4b7d60650d80d33345a41c028f

4,920

py

Python

test/test_SegmentMaker_rehearsal_mark.py

josiah-wolf-oberholtzer/consort

6c7d511835d5ad883ad1ad52ae9cd48c4a7b5571

[ "MIT" ]

9

2015-02-11T09:35:40.000Z

2019-04-29T23:57:49.000Z

test/test_SegmentMaker_rehearsal_mark.py

josiah-wolf-oberholtzer/consort

6c7d511835d5ad883ad1ad52ae9cd48c4a7b5571

[ "MIT" ]

2

2016-02-07T18:54:47.000Z

2017-08-10T01:38:01.000Z

test/test_SegmentMaker_rehearsal_mark.py

josiah-wolf-oberholtzer/consort

6c7d511835d5ad883ad1ad52ae9cd48c4a7b5571

[ "MIT" ]

1

2019-05-13T12:37:15.000Z

import abjad import collections import consort from abjad.tools import systemtools from abjad.tools import templatetools segment_metadata = collections.OrderedDict( segment_count=3, segment_number=2, ) def test_SegmentMaker_rehearsal_mark_01(): segment_maker = consort.SegmentMaker( discard_final_silence=True, desired_duration_in_seconds=4, omit_stylesheets=True, score_template=templatetools.GroupedRhythmicStavesScoreTemplate( staff_count=1, ), settings=None, tempo=abjad.MetronomeMark((1, 4), 60), permitted_time_signatures=((4, 4),), ) lilypond_file, metadata = segment_maker( segment_metadata=segment_metadata, ) assert format(lilypond_file) == abjad.String.normalize( r''' \version "2.19.65" \language "english" #(ly:set-option 'relative-includes #t) \score { \context Score = "Grouped Rhythmic Staves Score" << \tag #'time \context TimeSignatureContext = "Time Signature Context" { { \tempo 4=60 \time 4/4 \mark \markup { \box \pad-around #0.5 \caps A } s1 * 1 } } \context StaffGroup = "Grouped Rhythmic Staves Staff Group" << \context RhythmicStaff = "Staff 1" { \bar "||" \context Voice = "Voice 1" { { % [Voice 1] Measure 1 { \stopStaff \once \override Staff.StaffSymbol.line-positions = #'(0) \startStaff R1 * 1 \stopStaff \startStaff } } } } >> >> } ''') def test_SegmentMaker_rehearsal_mark_02(): segment_maker = consort.SegmentMaker( discard_final_silence=True, desired_duration_in_seconds=4, name='A transitional segment', omit_stylesheets=True, score_template=templatetools.GroupedRhythmicStavesScoreTemplate( staff_count=1, ), settings=None, tempo=abjad.MetronomeMark((1, 4), 60), permitted_time_signatures=((4, 4),), ) lilypond_file, metadata = segment_maker( segment_metadata=segment_metadata, ) assert format(lilypond_file) == abjad.String.normalize( r''' \version "2.19.65" \language "english" #(ly:set-option 'relative-includes #t) \score { \context Score = "Grouped Rhythmic Staves Score" << \tag #'time \context TimeSignatureContext = "Time Signature Context" { { \tempo 4=60 \time 4/4 \mark \markup { \concat { \box \pad-around #0.5 \caps A " " \fontsize #-3 "A transitional segment" } } s1 * 1 } } \context StaffGroup = "Grouped Rhythmic Staves Staff Group" << \context RhythmicStaff = "Staff 1" { \bar "||" \context Voice = "Voice 1" { { % [Voice 1] Measure 1 { \stopStaff \once \override Staff.StaffSymbol.line-positions = #'(0) \startStaff R1 * 1 \stopStaff \startStaff } } } } >> >> } ''')

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525529c8146bbe2f6674245e7fff7556b989a785

132

py

Python

software-development/unit-tests/python/start.py

fahimfarhan/legendary-coding-odyssey

55289e05aa04f866201c607bed00c505cd9c4df9

[ "MIT" ]

3

2019-07-20T07:26:31.000Z

2020-08-06T09:31:09.000Z

software-development/unit-tests/python/start.py

fahimfarhan/legendary-coding-odyssey

55289e05aa04f866201c607bed00c505cd9c4df9

[ "MIT" ]

null

software-development/unit-tests/python/start.py

fahimfarhan/legendary-coding-odyssey

55289e05aa04f866201c607bed00c505cd9c4df9

[ "MIT" ]

4

2019-06-20T18:43:32.000Z

2020-10-07T16:45:23.000Z

def add(a,b): return a+b def sub(a,b): return a-b def multiply(a,b): return a*b def div(a,b): return a/b

11

18

0.522727

28

132

2.464286

0.285714

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0.463768

0.521739

0.710145

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132

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null

0

1

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1

0

7

5267c953ae0dfbcbbf8e7e55311feec41640fc59

1,833

py

Python

tests/nonrealtime/test_nonrealtime_Node_get_parent.py

butayama/supriya

0c197324ecee4232381221880d1f40e109bb756c

[ "MIT" ]

191

2015-11-13T02:28:42.000Z

2022-03-29T10:26:44.000Z

tests/nonrealtime/test_nonrealtime_Node_get_parent.py

butayama/supriya

0c197324ecee4232381221880d1f40e109bb756c

[ "MIT" ]

130

2016-01-04T16:59:02.000Z

2022-02-26T15:37:20.000Z

tests/nonrealtime/test_nonrealtime_Node_get_parent.py

butayama/supriya

0c197324ecee4232381221880d1f40e109bb756c

[ "MIT" ]

22

2016-05-04T10:32:16.000Z

2022-02-26T19:22:45.000Z

import pytest import supriya.nonrealtime def test_01(): """ With Session.at(...) context manager. """ session = supriya.nonrealtime.Session() with session.at(0): group_one = session.add_group() group_two = session.add_group() node = group_one.add_synth() with session.at(10): group_two.move_node(node) with session.at(5): parent = node.get_parent() assert parent is group_one with session.at(15): parent = node.get_parent() assert parent is group_two def test_02(): """ With offset=... keyword. """ session = supriya.nonrealtime.Session() with session.at(0): group_one = session.add_group() group_two = session.add_group() node = group_one.add_synth() with session.at(10): group_two.move_node(node) parent = node.get_parent(offset=5) assert parent is group_one parent = node.get_parent(offset=15) assert parent is group_two def test_03(): """ Without Session.at(...) context manager or offset keyword. """ session = supriya.nonrealtime.Session() with session.at(0): group_one = session.add_group() group_two = session.add_group() node = group_one.add_synth() with session.at(10): group_two.move_node(node) with pytest.raises(ValueError): node.get_parent() def test_04(): """ With both Session.at(...) context manager and offset keyword. """ session = supriya.nonrealtime.Session() with session.at(0): group_one = session.add_group() group_two = session.add_group() node = group_one.add_synth() with session.at(10): group_two.move_node(node) with session.at(5): parent = node.get_parent(offset=15) assert parent is group_two

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870f59b56d6d2f2ec4535f561e62e75df977cd0c

128

py

Python

docs/source/tutorial/v2/using_liberty.py

mjhajharia/deprecated

9893b54d62ad0b164b9d99ee8382d21f32b5f96a

[ "MIT" ]

169

2017-12-05T15:22:20.000Z

2022-03-08T03:24:56.000Z

docs/source/tutorial/v2/using_liberty.py

mjhajharia/deprecated

9893b54d62ad0b164b9d99ee8382d21f32b5f96a

[ "MIT" ]

48

2018-06-21T22:39:37.000Z

2022-01-07T17:57:59.000Z

docs/source/tutorial/v2/using_liberty.py

mjhajharia/deprecated

9893b54d62ad0b164b9d99ee8382d21f32b5f96a

[ "MIT" ]

23

2018-06-21T22:36:48.000Z

2021-12-22T19:31:18.000Z

# coding: utf-8 import liberty liberty.print_value("hello") liberty.print_value("hello again") liberty.better_print("Hi Tom!")

18.285714

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8722407eeed6a7de19e1461162738e47d29f6169

8,927

py

Python

bidswrapps/tests.py

fliem/bidswrapps

f643e672b7c1d38b8868cc7c913b0ef9834c30e5

[ "Apache-2.0" ]

null

bidswrapps/tests.py

fliem/bidswrapps

f643e672b7c1d38b8868cc7c913b0ef9834c30e5

[ "Apache-2.0" ]

null

bidswrapps/tests.py

fliem/bidswrapps

f643e672b7c1d38b8868cc7c913b0ef9834c30e5

[ "Apache-2.0" ]

null

from bidswrapps.utils import compile_run_cmd def test_basic(): """test basic bids app use case""" analysis_level = "participant" bids_input_folder = "/bids_in_data" bids_output_folder = "/bids_out_data" docker_image = "testorg/testim:dev" subject_id = "" docker_volumes = [] runscript_args = "" runscript_cmd = "" correct_cmd = "docker run -v /bids_in_data:/data/in:ro -v /bids_out_data:/data/out testorg/testim:dev /data/in " \ "/data/out participant" cmd = compile_run_cmd(analysis_level, bids_input_folder, bids_output_folder, docker_image, subject_id, docker_volumes=docker_volumes, runscript_args=runscript_args, runscript_cmd=runscript_cmd) assert cmd == correct_cmd, "cmd:\n%s\n does not macht correct cmd:\n%s"%(cmd, correct_cmd) def test_basic_group(): """test basic bids app group use case""" analysis_level = "group" bids_input_folder = "/bids_in_data" bids_output_folder = "/bids_out_data" docker_image = "testorg/testim:dev" subject_id = "" docker_volumes = [] runscript_args = "" runscript_cmd = "" correct_cmd = "docker run -v /bids_in_data:/data/in:ro -v /bids_out_data:/data/out testorg/testim:dev /data/in " \ "/data/out group" cmd = compile_run_cmd(analysis_level, bids_input_folder, bids_output_folder, docker_image, subject_id, docker_volumes=docker_volumes, runscript_args=runscript_args, runscript_cmd=runscript_cmd) assert cmd == correct_cmd, "cmd:\n%s\n does not macht correct cmd:\n%s"%(cmd, correct_cmd) def test_basic_group_noro(): """test basic bids app group use case withou input ro""" analysis_level = "group" bids_input_folder = "/bids_in_data" bids_output_folder = "/bids_out_data" docker_image = "testorg/testim:dev" subject_id = "" docker_volumes = [] runscript_args = "" runscript_cmd = "" input_ro=False correct_cmd = "docker run -v /bids_in_data:/data/in -v /bids_out_data:/data/out testorg/testim:dev /data/in " \ "/data/out group" cmd = compile_run_cmd(analysis_level, bids_input_folder, bids_output_folder, docker_image, subject_id, docker_volumes=docker_volumes, runscript_args=runscript_args, runscript_cmd=runscript_cmd,\ input_ro=input_ro) assert cmd == correct_cmd, "cmd:\n%s\n does not macht correct cmd:\n%s"%(cmd, correct_cmd) def test_additional_vols(): """test additional mount vol use case""" analysis_level = "participant" bids_input_folder = "/bids_in_data" bids_output_folder = "/bids_out_data" docker_image = "testorg/testim:dev" subject_id = "" docker_volumes = ["/project/vol1:/data/vol1", "/project/vol2:/data/vol2"] runscript_args = "" runscript_cmd = "" correct_cmd = "docker run -v /bids_in_data:/data/in:ro -v /bids_out_data:/data/out -v /project/vol1:/data/vol1 " \ "-v /project/vol2:/data/vol2 testorg/testim:dev /data/in " \ "/data/out participant" cmd = compile_run_cmd(analysis_level, bids_input_folder, bids_output_folder, docker_image, subject_id, docker_volumes=docker_volumes, runscript_args=runscript_args, runscript_cmd=runscript_cmd) assert cmd == correct_cmd, "cmd:\n%s\n does not macht correct cmd:\n%s"%(cmd, correct_cmd) def test_participant_label(): """test participant label""" analysis_level = "participant" bids_input_folder = "/bids_in_data" bids_output_folder = "/bids_out_data" docker_image = "testorg/testim:dev" subject_id = "sub-11" docker_volumes = [] runscript_args = "" runscript_cmd = "" correct_cmd = "docker run -v /bids_in_data:/data/in:ro -v /bids_out_data:/data/out testorg/testim:dev /data/in " \ "/data/out participant --participant_label sub-11" cmd = compile_run_cmd(analysis_level, bids_input_folder, bids_output_folder, docker_image, subject_id, docker_volumes=docker_volumes, runscript_args=runscript_args, runscript_cmd=runscript_cmd) assert cmd == correct_cmd, "cmd:\n%s\n does not macht correct cmd:\n%s"%(cmd, correct_cmd) def test_multiple_participant_labels(): """test multiple participant labels""" analysis_level = "participant" bids_input_folder = "/bids_in_data" bids_output_folder = "/bids_out_data" docker_image = "testorg/testim:dev" subject_id = ["sub-11", "sub-12"] docker_volumes = [] runscript_args = "" runscript_cmd = "" correct_cmd = "docker run -v /bids_in_data:/data/in:ro -v /bids_out_data:/data/out testorg/testim:dev /data/in " \ "/data/out participant --participant_label sub-11 sub-12" cmd = compile_run_cmd(analysis_level, bids_input_folder, bids_output_folder, docker_image, subject_id, docker_volumes=docker_volumes, runscript_args=runscript_args, runscript_cmd=runscript_cmd) assert cmd == correct_cmd, "cmd:\n%s\n does not macht correct cmd:\n%s"%(cmd, correct_cmd) def test_runscript_args(): """test runscript args""" analysis_level = "participant" bids_input_folder = "/bids_in_data" bids_output_folder = "/bids_out_data" docker_image = "testorg/testim:dev" subject_id = "" docker_volumes = [] runscript_args = "--testarg1 a --testarg2 b" runscript_cmd = "" correct_cmd = "docker run -v /bids_in_data:/data/in:ro -v /bids_out_data:/data/out testorg/testim:dev " \ "/data/in /data/out participant --testarg1 a --testarg2 b" cmd = compile_run_cmd(analysis_level, bids_input_folder, bids_output_folder, docker_image, subject_id, docker_volumes=docker_volumes, runscript_args=runscript_args, runscript_cmd=runscript_cmd) assert cmd == correct_cmd, "cmd:\n%s\n does not macht correct cmd:\n%s"%(cmd, correct_cmd) def test_runscript_cmd(): """test runscript cmd""" analysis_level = "participant" bids_input_folder = "/bids_in_data" bids_output_folder = "/bids_out_data" docker_image = "testorg/testim:dev" subject_id = "" docker_volumes = [] runscript_args = "" runscript_cmd = "python run.py" correct_cmd = "docker run -v /bids_in_data:/data/in:ro -v /bids_out_data:/data/out testorg/testim:dev " \ "python run.py /data/in /data/out participant" cmd = compile_run_cmd(analysis_level, bids_input_folder, bids_output_folder, docker_image, subject_id, docker_volumes=docker_volumes, runscript_args=runscript_args, runscript_cmd=runscript_cmd) assert cmd == correct_cmd, "cmd:\n%s\n does not macht correct cmd:\n%s"%(cmd, correct_cmd) def test_full_cmd(): """test full cmd""" analysis_level = "participant" bids_input_folder = "/bids_in_data" bids_output_folder = "/bids_out_data" docker_image = "testorg/testim:dev" subject_id = "sub-11" docker_volumes = ["/project/vol1:/data/vol1", "/project/vol2:/data/vol2"] runscript_args = "--testarg1 a --testarg2 b" runscript_cmd = "python run.py" correct_cmd = "docker run -v /bids_in_data:/data/in:ro -v /bids_out_data:/data/out -v /project/vol1:/data/vol1 " \ "-v /project/vol2:/data/vol2 testorg/testim:dev " \ "python run.py /data/in /data/out participant --participant_label sub-11 --testarg1 a --testarg2 b" cmd = compile_run_cmd(analysis_level, bids_input_folder, bids_output_folder, docker_image, subject_id, docker_volumes=docker_volumes, runscript_args=runscript_args, runscript_cmd=runscript_cmd) assert cmd == correct_cmd, "cmd:\n%s\n does not macht correct cmd:\n%s"%(cmd, correct_cmd) def test_docker_options(): """test full cmd""" analysis_level = "participant" bids_input_folder = "/bids_in_data" bids_output_folder = "/bids_out_data" docker_image = "testorg/testim:dev" subject_id = "sub-11" docker_volumes = ["/project/vol1:/data/vol1", "/project/vol2:/data/vol2"] runscript_args = "--testarg1 a --testarg2 b" runscript_cmd = "python run.py" docker_opt = "--entrypoint=/bin/bash" correct_cmd = "docker run -v /bids_in_data:/data/in:ro -v /bids_out_data:/data/out -v /project/vol1:/data/vol1 " \ "-v /project/vol2:/data/vol2 --entrypoint=/bin/bash testorg/testim:dev " \ "python run.py /data/in /data/out participant --participant_label sub-11 --testarg1 a --testarg2 b" cmd = compile_run_cmd(analysis_level, bids_input_folder, bids_output_folder, docker_image, subject_id, docker_volumes=docker_volumes, runscript_args=runscript_args, runscript_cmd=runscript_cmd, docker_opt=docker_opt) assert cmd == correct_cmd, "cmd:\n%s\n does not macht correct cmd:\n%s"%(cmd, correct_cmd)

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873d718b6b4a9ce596cb21dfe1128d1d96348755

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Python

test/unit_test.py

lwzSoviet/finale

6166bee0ddbd1d886abccee0c1c699eaf8f53040

[ "MIT" ]

2

2021-07-13T12:13:36.000Z

2021-11-14T04:43:47.000Z

test/unit_test.py

lwzSoviet/finale

6166bee0ddbd1d886abccee0c1c699eaf8f53040

[ "MIT" ]

null

test/unit_test.py

lwzSoviet/finale

6166bee0ddbd1d886abccee0c1c699eaf8f53040

[ "MIT" ]

null

#!/usr/bin/python2 # -*- coding: utf-8 -*- """ @Description: Simple Unit Test ~~~~~~ @Author : pake @Time : 2021/7/2 10:10 """ import pytest from engine import func_equals_classcall, add_node_id, get_node, get_name_value, get_arg_value, \ get_all_assigns, get_all_functiondef, get_all_classdef, get_end_id, get_call_details, is_tracked, is_controllable, \ ins_is_class, get_class_name, Point, gen_chains, Taint def test_func_equals_classcall(): # call_name, classcall_name p=[('os.system','ClassCall:System.system'), ('a.system','ClassCall:A.system'), ('pickle.loads','ClassCall:self.loads'), ('self.inital_db','ClassCall:Mysql.inital_db'),] for i in p: assert func_equals_classcall(i[0],i[1])==i[1] def test_add_node_id(): a={'name': 'Module', 'children': [{'name': 'Import', 'children': [{'name': 'alias', 'children': [{'name': 'str(str=os)'}, {'name': 'NoneType'}]}]}, {'name': 'ImportFrom', 'children': [{'name': 'str(str=importlib)'}, {'name': 'alias', 'children': [{'name': 'str(str=import_module)'}, {'name': 'NoneType'}]}, {'name': 'int(int=0)'}]}, {'name': 'ImportFrom', 'children': [{'name': 'str'}, {'name': 'alias', 'children': [{'name': 'str(str=ImproperlyConfigured)'}, {'name': 'NoneType'}]}, {'name': 'int(int=0)'}]}, {'name': 'ImportFrom', 'children': [{'name': 'str'}, {'name': 'alias', 'children': [{'name': 'str(str=upath)'}, {'name': 'NoneType'}]}, {'name': 'int(int=0)'}]}, {'name': 'ImportFrom', 'children': [{'name': 'str'}, {'name': 'alias', 'children': [{'name': 'str(str=module_has_submodule)'}, {'name': 'NoneType'}]}, {'name': 'int(int=0)'}]}, {'name': 'Assign', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=MODELS_MODULE_NAME)'}, {'name': 'Store'}]}, {'name': 'Str', 'children': [{'name': 'str(str=models)'}]}]}, {'name': 'ClassDef', 'children': [{'name': 'str(str=AppConfig)'}, {'name': 'Name', 'children': [{'name': 'str(str=object)'}, {'name': 'Load'}]}, {'name': 'list[]'}, {'name': 'Expr', 'children': [{'name': 'Str', 'children': [{'name': 'str'}]}]}, {'name': 'FunctionDef', 'children': [{'name': 'str(str=__init__)'}, {'name': 'arguments', 'children': [{'name': 'arg', 'children': [{'name': 'str(str=self)'}, {'name': 'NoneType'}]}, {'name': 'arg', 'children': [{'name': 'str(str=app_name)'}, {'name': 'NoneType'}]}, {'name': 'arg', 'children': [{'name': 'str(str=app_module)'}, {'name': 'NoneType'}]}, {'name': 'NoneType'}, {'name': 'list[]'}, {'name': 'list[]'}, {'name': 'NoneType'}, {'name': 'list[]'}]}, {'name': 'Assign', 'children': [{'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=self)'}, {'name': 'Load'}]}, {'name': 'str(str=name)'}, {'name': 'Store'}]}, {'name': 'Name', 'children': [{'name': 'str(str=app_name)'}, {'name': 'Load'}]}]}, {'name': 'Assign', 'children': [{'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=self)'}, {'name': 'Load'}]}, {'name': 'str(str=module)'}, {'name': 'Store'}]}, {'name': 'Name', 'children': [{'name': 'str(str=app_module)'}, {'name': 'Load'}]}]}, {'name': 'Assign', 'children': [{'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=self)'}, {'name': 'Load'}]}, {'name': 'str(str=apps)'}, {'name': 'Store'}]}, {'name': 'NameConstant', 'children': [{'name': 'NoneType'}]}]}, {'name': 'If', 'children': [{'name': 'UnaryOp', 'children': [{'name': 'Not'}, {'name': 'Call', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=hasattr)'}, {'name': 'Load'}]}, {'name': 'Name', 'children': [{'name': 'str(str=self)'}, {'name': 'Load'}]}, {'name': 'Str', 'children': [{'name': 'str(str=label)'}]}, {'name': 'list[]'}]}]}, {'name': 'Assign', 'children': [{'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=self)'}, {'name': 'Load'}]}, {'name': 'str(str=label)'}, {'name': 'Store'}]}, {'name': 'Subscript', 'children': [{'name': 'Call', 'children': [{'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=app_name)'}, {'name': 'Load'}]}, {'name': 'str(str=rpartition)'}, {'name': 'Load'}]}, {'name': 'Str', 'children': [{'name': 'str'}]}, {'name': 'list[]'}]}, {'name': 'Index', 'children': [{'name': 'Num', 'children': [{'name': 'int(int=2)'}]}]}, {'name': 'Load'}]}]}, {'name': 'list[]'}]}, {'name': 'If', 'children': [{'name': 'UnaryOp', 'children': [{'name': 'Not'}, {'name': 'Call', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=hasattr)'}, {'name': 'Load'}]}, {'name': 'Name', 'children': [{'name': 'str(str=self)'}, {'name': 'Load'}]}, {'name': 'Str', 'children': [{'name': 'str(str=verbose_name)'}]}, {'name': 'list[]'}]}]}, {'name': 'Assign', 'children': [{'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=self)'}, {'name': 'Load'}]}, {'name': 'str(str=verbose_name)'}, {'name': 'Store'}]}, {'name': 'Call', 'children': [{'name': 'Attribute', 'children': [{'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=self)'}, {'name': 'Load'}]}, {'name': 'str(str=label)'}, {'name': 'Load'}]}, {'name': 'str(str=title)'}, {'name': 'Load'}]}, {'name': 'list[]'}, {'name': 'list[]'}]}]}, {'name': 'list[]'}]}, {'name': 'If', 'children': [{'name': 'UnaryOp', 'children': [{'name': 'Not'}, {'name': 'Call', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=hasattr)'}, {'name': 'Load'}]}, {'name': 'Name', 'children': [{'name': 'str(str=self)'}, {'name': 'Load'}]}, {'name': 'Str', 'children': [{'name': 'str(str=path)'}]}, {'name': 'list[]'}]}]}, {'name': 'Assign', 'children': [{'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=self)'}, {'name': 'Load'}]}, {'name': 'str(str=path)'}, {'name': 'Store'}]}, {'name': 'Call', 'children': [{'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=self)'}, {'name': 'Load'}]}, {'name': 'str(str=_path_from_module)'}, {'name': 'Load'}]}, {'name': 'Name', 'children': [{'name': 'str(str=app_module)'}, {'name': 'Load'}]}, {'name': 'list[]'}]}]}, {'name': 'list[]'}]}, {'name': 'Assign', 'children': [{'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=self)'}, {'name': 'Load'}]}, {'name': 'str(str=models_module)'}, {'name': 'Store'}]}, {'name': 'NameConstant', 'children': [{'name': 'NoneType'}]}]}, {'name': 'Assign', 'children': [{'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=self)'}, {'name': 'Load'}]}, {'name': 'str(str=models)'}, {'name': 'Store'}]}, {'name': 'NameConstant', 'children': [{'name': 'NoneType'}]}]}, {'name': 'list[]'}, {'name': 'NoneType'}]}, {'name': 'FunctionDef', 'children': [{'name': 'str(str=__repr__)'}, {'name': 'arguments', 'children': [{'name': 'arg', 'children': [{'name': 'str(str=self)'}, {'name': 'NoneType'}]}, {'name': 'NoneType'}, {'name': 'list[]'}, {'name': 'list[]'}, {'name': 'NoneType'}, {'name': 'list[]'}]}, {'name': 'Return', 'children': [{'name': 'BinOp', 'children': [{'name': 'Str', 'children': [{'name': 'str'}]}, {'name': 'Mod'}, {'name': 'Tuple', 'children': [{'name': 'Attribute', 'children': [{'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=self)'}, {'name': 'Load'}]}, {'name': 'str(str=__class__)'}, {'name': 'Load'}]}, {'name': 'str(str=__name__)'}, {'name': 'Load'}]}, {'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=self)'}, {'name': 'Load'}]}, {'name': 'str(str=label)'}, {'name': 'Load'}]}, {'name': 'Load'}]}]}]}, {'name': 'list[]'}, {'name': 'NoneType'}]}, {'name': 'FunctionDef', 'children': [{'name': 'str(str=_path_from_module)'}, {'name': 'arguments', 'children': [{'name': 'arg', 'children': [{'name': 'str(str=self)'}, {'name': 'NoneType'}]}, {'name': 'arg', 'children': [{'name': 'str(str=module)'}, {'name': 'NoneType'}]}, {'name': 'NoneType'}, {'name': 'list[]'}, {'name': 'list[]'}, {'name': 'NoneType'}, {'name': 'list[]'}]}, {'name': 'Expr', 'children': [{'name': 'Str', 'children': [{'name': 'str'}]}]}, {'name': 'Assign', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=paths)'}, {'name': 'Store'}]}, {'name': 'Call', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=list)'}, {'name': 'Load'}]}, {'name': 'Call', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=getattr)'}, {'name': 'Load'}]}, {'name': 'Name', 'children': [{'name': 'str(str=module)'}, {'name': 'Load'}]}, {'name': 'Str', 'children': [{'name': 'str(str=__path__)'}]}, {'name': 'List', 'children': [{'name': 'list[]'}, {'name': 'Load'}]}, {'name': 'list[]'}]}, {'name': 'list[]'}]}]}, {'name': 'If', 'children': [{'name': 'Compare', 'children': [{'name': 'Call', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=len)'}, {'name': 'Load'}]}, {'name': 'Name', 'children': [{'name': 'str(str=paths)'}, {'name': 'Load'}]}, {'name': 'list[]'}]}, {'name': 'NotEq'}, {'name': 'Num', 'children': [{'name': 'int(int=1)'}]}]}, {'name': 'Assign', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=filename)'}, {'name': 'Store'}]}, {'name': 'Call', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=getattr)'}, {'name': 'Load'}]}, {'name': 'Name', 'children': [{'name': 'str(str=module)'}, {'name': 'Load'}]}, {'name': 'Str', 'children': [{'name': 'str(str=__file__)'}]}, {'name': 'NameConstant', 'children': [{'name': 'NoneType'}]}, {'name': 'list[]'}]}]}, {'name': 'If', 'children': [{'name': 'Compare', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=filename)'}, {'name': 'Load'}]}, {'name': 'IsNot'}, {'name': 'NameConstant', 'children': [{'name': 'NoneType'}]}]}, {'name': 'Assign', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=paths)'}, {'name': 'Store'}]}, {'name': 'List', 'children': [{'name': 'Call', 'children': [{'name': 'Attribute', 'children': [{'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=os)'}, {'name': 'Load'}]}, {'name': 'str(str=path)'}, {'name': 'Load'}]}, {'name': 'str(str=dirname)'}, {'name': 'Load'}]}, {'name': 'Name', 'children': [{'name': 'str(str=filename)'}, {'name': 'Load'}]}, {'name': 'list[]'}]}, {'name': 'Load'}]}]}, {'name': 'Assign', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=paths)'}, {'name': 'Store'}]}, {'name': 'Call', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=list)'}, {'name': 'Load'}]}, {'name': 'Call', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=set)'}, {'name': 'Load'}]}, {'name': 'Name', 'children': [{'name': 'str(str=paths)'}, {'name': 'Load'}]}, {'name': 'list[]'}]}, {'name': 'list[]'}]}]}]}, {'name': 'list[]'}]}, {'name': 'If', 'children': [{'name': 'Compare', 'children': [{'name': 'Call', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=len)'}, {'name': 'Load'}]}, {'name': 'Name', 'children': [{'name': 'str(str=paths)'}, {'name': 'Load'}]}, {'name': 'list[]'}]}, {'name': 'Gt'}, {'name': 'Num', 'children': [{'name': 'int(int=1)'}]}]}, {'name': 'Raise', 'children': [{'name': 'Call', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=ImproperlyConfigured)'}, {'name': 'Load'}]}, {'name': 'BinOp', 'children': [{'name': 'Str', 'children': [{'name': 'str'}]}, {'name': 'Mod'}, {'name': 'Tuple', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=module)'}, {'name': 'Load'}]}, {'name': 'Name', 'children': [{'name': 'str(str=paths)'}, {'name': 'Load'}]}, {'name': 'Load'}]}]}, {'name': 'list[]'}]}, {'name': 'NoneType'}]}, {'name': 'If', 'children': [{'name': 'UnaryOp', 'children': [{'name': 'Not'}, {'name': 'Name', 'children': [{'name': 'str(str=paths)'}, {'name': 'Load'}]}]}, {'name': 'Raise', 'children': [{'name': 'Call', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=ImproperlyConfigured)'}, {'name': 'Load'}]}, {'name': 'BinOp', 'children': [{'name': 'Str', 'children': [{'name': 'str'}]}, {'name': 'Mod'}, {'name': 'Tuple', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=module)'}, {'name': 'Load'}]}, {'name': 'Load'}]}]}, {'name': 'list[]'}]}, {'name': 'NoneType'}]}, {'name': 'list[]'}]}]}, {'name': 'Return', 'children': [{'name': 'Call', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=upath)'}, {'name': 'Load'}]}, {'name': 'Subscript', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=paths)'}, {'name': 'Load'}]}, {'name': 'Index', 'children': [{'name': 'Num', 'children': [{'name': 'int(int=0)'}]}]}, {'name': 'Load'}]}, {'name': 'list[]'}]}]}, {'name': 'list[]'}, {'name': 'NoneType'}]}, {'name': 'FunctionDef', 'children': [{'name': 'str(str=create)'}, {'name': 'arguments', 'children': [{'name': 'arg', 'children': [{'name': 'str(str=cls)'}, {'name': 'NoneType'}]}, {'name': 'arg', 'children': [{'name': 'str(str=entry)'}, {'name': 'NoneType'}]}, {'name': 'NoneType'}, {'name': 'list[]'}, {'name': 'list[]'}, {'name': 'NoneType'}, {'name': 'list[]'}]}, {'name': 'Expr', 'children': [{'name': 'Str', 'children': [{'name': 'str'}]}]}, {'name': 'Try', 'children': [{'name': 'Assign', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=module)'}, {'name': 'Store'}]}, {'name': 'Call', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=import_module)'}, {'name': 'Load'}]}, {'name': 'Name', 'children': [{'name': 'str(str=entry)'}, {'name': 'Load'}]}, {'name': 'list[]'}]}]}, {'name': 'ExceptHandler', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=ImportError)'}, {'name': 'Load'}]}, {'name': 'NoneType'}, {'name': 'Assign', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=module)'}, {'name': 'Store'}]}, {'name': 'NameConstant', 'children': [{'name': 'NoneType'}]}]}, {'name': 'Assign', 'children': [{'name': 'Tuple', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=mod_path)'}, {'name': 'Store'}]}, {'name': 'Name', 'children': [{'name': 'str(str=_)'}, {'name': 'Store'}]}, {'name': 'Name', 'children': [{'name': 'str(str=cls_name)'}, {'name': 'Store'}]}, {'name': 'Store'}]}, {'name': 'Call', 'children': [{'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=entry)'}, {'name': 'Load'}]}, {'name': 'str(str=rpartition)'}, {'name': 'Load'}]}, {'name': 'Str', 'children': [{'name': 'str'}]}, {'name': 'list[]'}]}]}, {'name': 'If', 'children': [{'name': 'UnaryOp', 'children': [{'name': 'Not'}, {'name': 'Name', 'children': [{'name': 'str(str=mod_path)'}, {'name': 'Load'}]}]}, {'name': 'Raise', 'children': [{'name': 'NoneType'}, {'name': 'NoneType'}]}, {'name': 'list[]'}]}]}, {'name': 'Try', 'children': [{'name': 'Assign', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=entry)'}, {'name': 'Store'}]}, {'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=module)'}, {'name': 'Load'}]}, {'name': 'str(str=default_app_config)'}, {'name': 'Load'}]}]}, {'name': 'ExceptHandler', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=AttributeError)'}, {'name': 'Load'}]}, {'name': 'NoneType'}, {'name': 'Return', 'children': [{'name': 'Call', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=cls)'}, {'name': 'Load'}]}, {'name': 'Name', 'children': [{'name': 'str(str=entry)'}, {'name': 'Load'}]}, {'name': 'Name', 'children': [{'name': 'str(str=module)'}, {'name': 'Load'}]}, {'name': 'list[]'}]}]}]}, {'name': 'Assign', 'children': [{'name': 'Tuple', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=mod_path)'}, {'name': 'Store'}]}, {'name': 'Name', 'children': [{'name': 'str(str=_)'}, {'name': 'Store'}]}, {'name': 'Name', 'children': [{'name': 'str(str=cls_name)'}, {'name': 'Store'}]}, {'name': 'Store'}]}, {'name': 'Call', 'children': [{'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=entry)'}, {'name': 'Load'}]}, {'name': 'str(str=rpartition)'}, {'name': 'Load'}]}, {'name': 'Str', 'children': [{'name': 'str'}]}, {'name': 'list[]'}]}]}, {'name': 'list[]'}]}, {'name': 'list[]'}]}, {'name': 'Assign', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=mod)'}, {'name': 'Store'}]}, {'name': 'Call', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=import_module)'}, {'name': 'Load'}]}, {'name': 'Name', 'children': [{'name': 'str(str=mod_path)'}, {'name': 'Load'}]}, {'name': 'list[]'}]}]}, {'name': 'Try', 'children': [{'name': 'Assign', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=cls)'}, {'name': 'Store'}]}, {'name': 'Call', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=getattr)'}, {'name': 'Load'}]}, {'name': 'Name', 'children': [{'name': 'str(str=mod)'}, {'name': 'Load'}]}, {'name': 'Name', 'children': [{'name': 'str(str=cls_name)'}, {'name': 'Load'}]}, {'name': 'list[]'}]}]}, {'name': 'ExceptHandler', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=AttributeError)'}, {'name': 'Load'}]}, {'name': 'NoneType'}, {'name': 'If', 'children': [{'name': 'Compare', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=module)'}, {'name': 'Load'}]}, {'name': 'Is'}, {'name': 'NameConstant', 'children': [{'name': 'NoneType'}]}]}, {'name': 'Expr', 'children': [{'name': 'Call', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=import_module)'}, {'name': 'Load'}]}, {'name': 'Name', 'children': [{'name': 'str(str=entry)'}, {'name': 'Load'}]}, {'name': 'list[]'}]}]}, {'name': 'Raise', 'children': [{'name': 'NoneType'}, {'name': 'NoneType'}]}]}]}, {'name': 'list[]'}, {'name': 'list[]'}]}, {'name': 'If', 'children': [{'name': 'UnaryOp', 'children': [{'name': 'Not'}, {'name': 'Call', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=issubclass)'}, {'name': 'Load'}]}, {'name': 'Name', 'children': [{'name': 'str(str=cls)'}, {'name': 'Load'}]}, {'name': 'Name', 'children': [{'name': 'str(str=AppConfig)'}, {'name': 'Load'}]}, {'name': 'list[]'}]}]}, {'name': 'Raise', 'children': [{'name': 'Call', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=ImproperlyConfigured)'}, {'name': 'Load'}]}, {'name': 'BinOp', 'children': [{'name': 'Str', 'children': [{'name': 'str'}]}, {'name': 'Mod'}, {'name': 'Name', 'children': [{'name': 'str(str=entry)'}, {'name': 'Load'}]}]}, {'name': 'list[]'}]}, {'name': 'NoneType'}]}, {'name': 'list[]'}]}, {'name': 'Try', 'children': [{'name': 'Assign', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=app_name)'}, {'name': 'Store'}]}, {'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=cls)'}, {'name': 'Load'}]}, {'name': 'str(str=name)'}, {'name': 'Load'}]}]}, {'name': 'ExceptHandler', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=AttributeError)'}, {'name': 'Load'}]}, {'name': 'NoneType'}, {'name': 'Raise', 'children': [{'name': 'Call', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=ImproperlyConfigured)'}, {'name': 'Load'}]}, {'name': 'BinOp', 'children': [{'name': 'Str', 'children': [{'name': 'str'}]}, {'name': 'Mod'}, {'name': 'Name', 'children': [{'name': 'str(str=entry)'}, {'name': 'Load'}]}]}, {'name': 'list[]'}]}, {'name': 'NoneType'}]}]}, {'name': 'list[]'}, {'name': 'list[]'}]}, {'name': 'Try', 'children': [{'name': 'Assign', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=app_module)'}, {'name': 'Store'}]}, {'name': 'Call', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=import_module)'}, {'name': 'Load'}]}, {'name': 'Name', 'children': [{'name': 'str(str=app_name)'}, {'name': 'Load'}]}, {'name': 'list[]'}]}]}, {'name': 'ExceptHandler', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=ImportError)'}, {'name': 'Load'}]}, {'name': 'NoneType'}, {'name': 'Raise', 'children': [{'name': 'Call', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=ImproperlyConfigured)'}, {'name': 'Load'}]}, {'name': 'BinOp', 'children': [{'name': 'Str', 'children': [{'name': 'str'}]}, {'name': 'Mod'}, {'name': 'Tuple', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=app_name)'}, {'name': 'Load'}]}, {'name': 'Name', 'children': [{'name': 'str(str=mod_path)'}, {'name': 'Load'}]}, {'name': 'Name', 'children': [{'name': 'str(str=cls_name)'}, {'name': 'Load'}]}, {'name': 'Load'}]}]}, {'name': 'list[]'}]}, {'name': 'NoneType'}]}]}, {'name': 'list[]'}, {'name': 'list[]'}]}, {'name': 'Return', 'children': [{'name': 'Call', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=cls)'}, {'name': 'Load'}]}, {'name': 'Name', 'children': [{'name': 'str(str=app_name)'}, {'name': 'Load'}]}, {'name': 'Name', 'children': [{'name': 'str(str=app_module)'}, {'name': 'Load'}]}, {'name': 'list[]'}]}]}, {'name': 'Name', 'children': [{'name': 'str(str=classmethod)'}, {'name': 'Load'}]}, {'name': 'NoneType'}]}, {'name': 'FunctionDef', 'children': [{'name': 'str(str=get_model)'}, {'name': 'arguments', 'children': [{'name': 'arg', 'children': [{'name': 'str(str=self)'}, {'name': 'NoneType'}]}, {'name': 'arg', 'children': [{'name': 'str(str=model_name)'}, {'name': 'NoneType'}]}, {'name': 'arg', 'children': [{'name': 'str(str=require_ready)'}, {'name': 'NoneType'}]}, {'name': 'NoneType'}, {'name': 'list[]'}, {'name': 'list[]'}, {'name': 'NoneType'}, {'name': 'NameConstant', 'children': [{'name': 'bool(int=True)'}]}]}, {'name': 'Expr', 'children': [{'name': 'Str', 'children': [{'name': 'str'}]}]}, {'name': 'If', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=require_ready)'}, {'name': 'Load'}]}, {'name': 'Expr', 'children': [{'name': 'Call', 'children': [{'name': 'Attribute', 'children': [{'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=self)'}, {'name': 'Load'}]}, {'name': 'str(str=apps)'}, {'name': 'Load'}]}, {'name': 'str(str=check_models_ready)'}, {'name': 'Load'}]}, {'name': 'list[]'}, {'name': 'list[]'}]}]}, {'name': 'Expr', 'children': [{'name': 'Call', 'children': [{'name': 'Attribute', 'children': [{'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=self)'}, {'name': 'Load'}]}, {'name': 'str(str=apps)'}, {'name': 'Load'}]}, {'name': 'str(str=check_apps_ready)'}, {'name': 'Load'}]}, {'name': 'list[]'}, {'name': 'list[]'}]}]}]}, {'name': 'Try', 'children': [{'name': 'Return', 'children': [{'name': 'Subscript', 'children': [{'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=self)'}, {'name': 'Load'}]}, {'name': 'str(str=models)'}, {'name': 'Load'}]}, {'name': 'Index', 'children': [{'name': 'Call', 'children': [{'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=model_name)'}, {'name': 'Load'}]}, {'name': 'str(str=lower)'}, {'name': 'Load'}]}, {'name': 'list[]'}, {'name': 'list[]'}]}]}, {'name': 'Load'}]}]}, {'name': 'ExceptHandler', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=KeyError)'}, {'name': 'Load'}]}, {'name': 'NoneType'}, {'name': 'Raise', 'children': [{'name': 'Call', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=LookupError)'}, {'name': 'Load'}]}, {'name': 'BinOp', 'children': [{'name': 'Str', 'children': [{'name': 'str'}]}, {'name': 'Mod'}, {'name': 'Tuple', 'children': [{'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=self)'}, {'name': 'Load'}]}, {'name': 'str(str=label)'}, {'name': 'Load'}]}, {'name': 'Name', 'children': [{'name': 'str(str=model_name)'}, {'name': 'Load'}]}, {'name': 'Load'}]}]}, {'name': 'list[]'}]}, {'name': 'NoneType'}]}]}, {'name': 'list[]'}, {'name': 'list[]'}]}, {'name': 'list[]'}, {'name': 'NoneType'}]}, {'name': 'FunctionDef', 'children': [{'name': 'str(str=get_models)'}, {'name': 'arguments', 'children': [{'name': 'arg', 'children': [{'name': 'str(str=self)'}, {'name': 'NoneType'}]}, {'name': 'arg', 'children': [{'name': 'str(str=include_auto_created)'}, {'name': 'NoneType'}]}, {'name': 'arg', 'children': [{'name': 'str(str=include_swapped)'}, {'name': 'NoneType'}]}, {'name': 'NoneType'}, {'name': 'list[]'}, {'name': 'list[]'}, {'name': 'NoneType'}, {'name': 'NameConstant', 'children': [{'name': 'bool(int=False)'}]}, {'name': 'NameConstant', 'children': [{'name': 'bool(int=False)'}]}]}, {'name': 'Expr', 'children': [{'name': 'Str', 'children': [{'name': 'str'}]}]}, {'name': 'Expr', 'children': [{'name': 'Call', 'children': [{'name': 'Attribute', 'children': [{'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=self)'}, {'name': 'Load'}]}, {'name': 'str(str=apps)'}, {'name': 'Load'}]}, {'name': 'str(str=check_models_ready)'}, {'name': 'Load'}]}, {'name': 'list[]'}, {'name': 'list[]'}]}]}, {'name': 'For', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=model)'}, {'name': 'Store'}]}, {'name': 'Call', 'children': [{'name': 'Attribute', 'children': [{'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=self)'}, {'name': 'Load'}]}, {'name': 'str(str=models)'}, {'name': 'Load'}]}, {'name': 'str(str=values)'}, {'name': 'Load'}]}, {'name': 'list[]'}, {'name': 'list[]'}]}, {'name': 'If', 'children': [{'name': 'BoolOp', 'children': [{'name': 'And'}, {'name': 'Attribute', 'children': [{'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=model)'}, {'name': 'Load'}]}, {'name': 'str(str=_meta)'}, {'name': 'Load'}]}, {'name': 'str(str=auto_created)'}, {'name': 'Load'}]}, {'name': 'UnaryOp', 'children': [{'name': 'Not'}, {'name': 'Name', 'children': [{'name': 'str(str=include_auto_created)'}, {'name': 'Load'}]}]}]}, {'name': 'Continue'}, {'name': 'list[]'}]}, {'name': 'If', 'children': [{'name': 'BoolOp', 'children': [{'name': 'And'}, {'name': 'Attribute', 'children': [{'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=model)'}, {'name': 'Load'}]}, {'name': 'str(str=_meta)'}, {'name': 'Load'}]}, {'name': 'str(str=swapped)'}, {'name': 'Load'}]}, {'name': 'UnaryOp', 'children': [{'name': 'Not'}, {'name': 'Name', 'children': [{'name': 'str(str=include_swapped)'}, {'name': 'Load'}]}]}]}, {'name': 'Continue'}, {'name': 'list[]'}]}, {'name': 'Expr', 'children': [{'name': 'Yield', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=model)'}, {'name': 'Load'}]}]}]}, {'name': 'list[]'}]}, {'name': 'list[]'}, {'name': 'NoneType'}]}, {'name': 'FunctionDef', 'children': [{'name': 'str(str=import_models)'}, {'name': 'arguments', 'children': [{'name': 'arg', 'children': [{'name': 'str(str=self)'}, {'name': 'NoneType'}]}, {'name': 'NoneType'}, {'name': 'list[]'}, {'name': 'list[]'}, {'name': 'NoneType'}, {'name': 'list[]'}]}, {'name': 'Assign', 'children': [{'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=self)'}, {'name': 'Load'}]}, {'name': 'str(str=models)'}, {'name': 'Store'}]}, {'name': 'Subscript', 'children': [{'name': 'Attribute', 'children': [{'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=self)'}, {'name': 'Load'}]}, {'name': 'str(str=apps)'}, {'name': 'Load'}]}, {'name': 'str(str=all_models)'}, {'name': 'Load'}]}, {'name': 'Index', 'children': [{'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=self)'}, {'name': 'Load'}]}, {'name': 'str(str=label)'}, {'name': 'Load'}]}]}, {'name': 'Load'}]}]}, {'name': 'If', 'children': [{'name': 'Call', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=module_has_submodule)'}, {'name': 'Load'}]}, {'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=self)'}, {'name': 'Load'}]}, {'name': 'str(str=module)'}, {'name': 'Load'}]}, {'name': 'Name', 'children': [{'name': 'str(str=MODELS_MODULE_NAME)'}, {'name': 'Load'}]}, {'name': 'list[]'}]}, {'name': 'Assign', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=models_module_name)'}, {'name': 'Store'}]}, {'name': 'BinOp', 'children': [{'name': 'Str', 'children': [{'name': 'str'}]}, {'name': 'Mod'}, {'name': 'Tuple', 'children': [{'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=self)'}, {'name': 'Load'}]}, {'name': 'str(str=name)'}, {'name': 'Load'}]}, {'name': 'Name', 'children': [{'name': 'str(str=MODELS_MODULE_NAME)'}, {'name': 'Load'}]}, {'name': 'Load'}]}]}]}, {'name': 'Assign', 'children': [{'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=self)'}, {'name': 'Load'}]}, {'name': 'str(str=models_module)'}, {'name': 'Store'}]}, {'name': 'Call', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=import_module)'}, {'name': 'Load'}]}, {'name': 'Name', 'children': [{'name': 'str(str=models_module_name)'}, {'name': 'Load'}]}, {'name': 'list[]'}]}]}, {'name': 'list[]'}]}, {'name': 'list[]'}, {'name': 'NoneType'}]}, {'name': 'FunctionDef', 'children': [{'name': 'str(str=ready)'}, {'name': 'arguments', 'children': [{'name': 'arg', 'children': [{'name': 'str(str=self)'}, {'name': 'NoneType'}]}, {'name': 'NoneType'}, {'name': 'list[]'}, {'name': 'list[]'}, {'name': 'NoneType'}, {'name': 'list[]'}]}, {'name': 'Expr', 'children': [{'name': 'Str', 'children': [{'name': 'str'}]}]}, {'name': 'list[]'}, {'name': 'NoneType'}]}, {'name': 'list[]'}]}]} assert add_node_id(a,1) b={'name': 'Module', 'children': [{'name': 'Import', 'children': [{'name': 'sss'}]}]} add_node_id(b, 1) assert b=={'name': 'Module', 'id':1,'children': [{'name': 'Import', 'id':2,'children': [{'name': 'sss','id':3}]}]} def test_get_node(): b = {'name': 'Module', 'id':1,'children': [{'name': 'Import', 'id':2,'children': [{'name': 'sss','id':3}]}]} assert get_node(b,3)=={'name': 'sss', 'id': 3} def test_get_name_value(): # case1 a={'name': 'Name', 'children': [{'name': 'str(str=data)', 'id': 374}, {'name': 'Store', 'id': 375}], 'id': 373} assert get_name_value(a)=='str(str=data)' # case2 a={'name': 'str(str=argv)', 'id': 35} assert get_name_value(a)=='str(str=argv)' # case3 a={'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=self)', 'id': 385}, {'name': 'Load', 'id': 386}], 'id': 384}, {'name': 'str(str=_current)', 'id': 387}, {'name': 'Load', 'id': 388}], 'id': 383} assert get_name_value(a)=='self._current' # case4 a={'name': 'keyword', 'children': [{'name': 'str(str=dir)', 'id': 36}, {'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=self)', 'id': 39}, {'name': 'Load', 'id': 40}], 'id': 38}, {'name': 'str(str=_dir)', 'id': 41}, {'name': 'Load', 'id': 42}], 'id': 37}], 'id': 35} assert get_name_value(a)=='str(str=dir)######self._dir' def test_get_arg_value(): # see ./get_arg_value/demo.py a={'name': 'arg', 'children': [{'name': 'str(str=a)', 'id': 6}, {'name': 'NoneType', 'id': 7}], 'id': 5} assert get_arg_value(a)=='str(str=a)' def test_get_all_assigns(): # demo code in test/get_all_assigns/demo.py begin_id=2 end_id=45 node_dict={'name': 'Module', 'children': [{'name': 'FunctionDef', 'children': [{'name': 'str(str=set)', 'id': 3}, {'name': 'arguments', 'children': [{'name': 'arg', 'children': [{'name': 'str(str=a)', 'id': 6}, {'name': 'NoneType', 'id': 7}], 'id': 5}, {'name': 'arg', 'children': [{'name': 'str(str=b)', 'id': 9}, {'name': 'NoneType', 'id': 10}], 'id': 8}, {'name': 'NoneType', 'id': 11}, {'name': 'list[]', 'id': 12}, {'name': 'list[]', 'id': 13}, {'name': 'NoneType', 'id': 14}, {'name': 'list[]', 'id': 15}], 'id': 4}, {'name': 'Assign', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=c)', 'id': 18}, {'name': 'Store', 'id': 19}], 'id': 17}, {'name': 'BinOp', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=a)', 'id': 22}, {'name': 'Load', 'id': 23}], 'id': 21}, {'name': 'Add', 'id': 24}, {'name': 'Name', 'children': [{'name': 'str(str=b)', 'id': 26}, {'name': 'Load', 'id': 27}], 'id': 25}], 'id': 20}], 'id': 16}, {'name': 'Expr', 'children': [{'name': 'Call', 'children': [{'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=pickle)', 'id': 32}, {'name': 'Load', 'id': 33}], 'id': 31}, {'name': 'str(str=loads)', 'id': 34}, {'name': 'Load', 'id': 35}], 'id': 30}, {'name': 'Name', 'children': [{'name': 'str(str=c)', 'id': 37}, {'name': 'Load', 'id': 38}], 'id': 36}, {'name': 'list[]', 'id': 39}], 'id': 29}], 'id': 28}, {'name': 'Return', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=c)', 'id': 42}, {'name': 'Load', 'id': 43}], 'id': 41}], 'id': 40}, {'name': 'list[]', 'id': 44}, {'name': 'NoneType', 'id': 45}], 'id': 2}], 'id': 1} assert get_all_assigns(node_dict,(begin_id,end_id))=='left:str(str=a),right:fp$$$$$$left:str(str=b),right:fp$$$$$$left:str(str=c),right:str(str=a)######str(str=b)' def test_get_all_functiondef(): #demo code in test/get_all_functiondef node_dict={'name': 'Module', 'children': [{'name': 'Expr', 'children': [{'name': 'Str', 'children': [{'name': 'str', 'id': 4}], 'id': 3}], 'id': 2}, {'name': 'FunctionDef', 'children': [{'name': 'str(str=Add)', 'id': 6}, {'name': 'arguments', 'children': [{'name': 'arg', 'children': [{'name': 'str(str=a)', 'id': 9}, {'name': 'NoneType', 'id': 10}], 'id': 8}, {'name': 'arg', 'children': [{'name': 'str(str=b)', 'id': 12}, {'name': 'NoneType', 'id': 13}], 'id': 11}, {'name': 'NoneType', 'id': 14}, {'name': 'list[]', 'id': 15}, {'name': 'list[]', 'id': 16}, {'name': 'NoneType', 'id': 17}, {'name': 'list[]', 'id': 18}], 'id': 7}, {'name': 'Assign', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=c)', 'id': 21}, {'name': 'Store', 'id': 22}], 'id': 20}, {'name': 'BinOp', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=a)', 'id': 25}, {'name': 'Load', 'id': 26}], 'id': 24}, {'name': 'Add', 'id': 27}, {'name': 'Name', 'children': [{'name': 'str(str=b)', 'id': 29}, {'name': 'Load', 'id': 30}], 'id': 28}], 'id': 23}], 'id': 19}, {'name': 'Return', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=c)', 'id': 33}, {'name': 'Load', 'id': 34}], 'id': 32}], 'id': 31}, {'name': 'list[]', 'id': 35}, {'name': 'NoneType', 'id': 36}], 'id': 5}, {'name': 'ClassDef', 'children': [{'name': 'str(str=A)', 'id': 38}, {'name': 'list[]', 'id': 39}, {'name': 'list[]', 'id': 40}, {'name': 'FunctionDef', 'children': [{'name': 'str(str=__init__)', 'id': 42}, {'name': 'arguments', 'children': [{'name': 'arg', 'children': [{'name': 'str(str=self)', 'id': 45}, {'name': 'NoneType', 'id': 46}], 'id': 44}, {'name': 'arg', 'children': [{'name': 'str(str=name)', 'id': 48}, {'name': 'NoneType', 'id': 49}], 'id': 47}, {'name': 'NoneType', 'id': 50}, {'name': 'list[]', 'id': 51}, {'name': 'list[]', 'id': 52}, {'name': 'NoneType', 'id': 53}, {'name': 'list[]', 'id': 54}], 'id': 43}, {'name': 'Assign', 'children': [{'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=self)', 'id': 58}, {'name': 'Load', 'id': 59}], 'id': 57}, {'name': 'str(str=name)', 'id': 60}, {'name': 'Store', 'id': 61}], 'id': 56}, {'name': 'Name', 'children': [{'name': 'str(str=name)', 'id': 63}, {'name': 'Load', 'id': 64}], 'id': 62}], 'id': 55}, {'name': 'list[]', 'id': 65}, {'name': 'NoneType', 'id': 66}], 'id': 41}, {'name': 'FunctionDef', 'children': [{'name': 'str(str=func1)', 'id': 68}, {'name': 'arguments', 'children': [{'name': 'arg', 'children': [{'name': 'str(str=self)', 'id': 71}, {'name': 'NoneType', 'id': 72}], 'id': 70}, {'name': 'NoneType', 'id': 73}, {'name': 'list[]', 'id': 74}, {'name': 'list[]', 'id': 75}, {'name': 'NoneType', 'id': 76}, {'name': 'list[]', 'id': 77}], 'id': 69}, {'name': 'Expr', 'children': [{'name': 'Call', 'children': [{'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=pickle)', 'id': 82}, {'name': 'Load', 'id': 83}], 'id': 81}, {'name': 'str(str=loads)', 'id': 84}, {'name': 'Load', 'id': 85}], 'id': 80}, {'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=self)', 'id': 88}, {'name': 'Load', 'id': 89}], 'id': 87}, {'name': 'str(str=name)', 'id': 90}, {'name': 'Load', 'id': 91}], 'id': 86}, {'name': 'list[]', 'id': 92}], 'id': 79}], 'id': 78}, {'name': 'Return', 'children': [{'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=self)', 'id': 96}, {'name': 'Load', 'id': 97}], 'id': 95}, {'name': 'str(str=name)', 'id': 98}, {'name': 'Load', 'id': 99}], 'id': 94}], 'id': 93}, {'name': 'list[]', 'id': 100}, {'name': 'NoneType', 'id': 101}], 'id': 67}, {'name': 'list[]', 'id': 102}], 'id': 37}], 'id': 1} assert get_all_functiondef(node_dict)=='begin:5,end:36$$$$$$begin:41,end:66$$$$$$begin:67,end:101' def test_get_all_classdef(): #demo code in test/get_all_classdef node_dict={'name': 'Module', 'children': [{'name': 'Expr', 'children': [{'name': 'Str', 'children': [{'name': 'str', 'id': 4}], 'id': 3}], 'id': 2}, {'name': 'ClassDef', 'children': [{'name': 'str(str=A)', 'id': 6}, {'name': 'list[]', 'id': 7}, {'name': 'list[]', 'id': 8}, {'name': 'FunctionDef', 'children': [{'name': 'str(str=__init__)', 'id': 10}, {'name': 'arguments', 'children': [{'name': 'arg', 'children': [{'name': 'str(str=self)', 'id': 13}, {'name': 'NoneType', 'id': 14}], 'id': 12}, {'name': 'arg', 'children': [{'name': 'str(str=name)', 'id': 16}, {'name': 'NoneType', 'id': 17}], 'id': 15}, {'name': 'NoneType', 'id': 18}, {'name': 'list[]', 'id': 19}, {'name': 'list[]', 'id': 20}, {'name': 'NoneType', 'id': 21}, {'name': 'list[]', 'id': 22}], 'id': 11}, {'name': 'Assign', 'children': [{'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=self)', 'id': 26}, {'name': 'Load', 'id': 27}], 'id': 25}, {'name': 'str(str=name)', 'id': 28}, {'name': 'Store', 'id': 29}], 'id': 24}, {'name': 'Name', 'children': [{'name': 'str(str=name)', 'id': 31}, {'name': 'Load', 'id': 32}], 'id': 30}], 'id': 23}, {'name': 'list[]', 'id': 33}, {'name': 'NoneType', 'id': 34}], 'id': 9}, {'name': 'FunctionDef', 'children': [{'name': 'str(str=func1)', 'id': 36}, {'name': 'arguments', 'children': [{'name': 'arg', 'children': [{'name': 'str(str=self)', 'id': 39}, {'name': 'NoneType', 'id': 40}], 'id': 38}, {'name': 'NoneType', 'id': 41}, {'name': 'list[]', 'id': 42}, {'name': 'list[]', 'id': 43}, {'name': 'NoneType', 'id': 44}, {'name': 'list[]', 'id': 45}], 'id': 37}, {'name': 'Expr', 'children': [{'name': 'Call', 'children': [{'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=pickle)', 'id': 50}, {'name': 'Load', 'id': 51}], 'id': 49}, {'name': 'str(str=loads)', 'id': 52}, {'name': 'Load', 'id': 53}], 'id': 48}, {'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=self)', 'id': 56}, {'name': 'Load', 'id': 57}], 'id': 55}, {'name': 'str(str=name)', 'id': 58}, {'name': 'Load', 'id': 59}], 'id': 54}, {'name': 'list[]', 'id': 60}], 'id': 47}], 'id': 46}, {'name': 'Return', 'children': [{'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=self)', 'id': 64}, {'name': 'Load', 'id': 65}], 'id': 63}, {'name': 'str(str=name)', 'id': 66}, {'name': 'Load', 'id': 67}], 'id': 62}], 'id': 61}, {'name': 'list[]', 'id': 68}, {'name': 'NoneType', 'id': 69}], 'id': 35}, {'name': 'list[]', 'id': 70}], 'id': 5}], 'id': 1} assert get_all_classdef(node_dict)=='begin:5,end:70' def test_get_end_id(): # demo code in test/get_end_id root={'name': 'FunctionDef', 'children': [{'name': 'str(str=func1)', 'id': 6}, {'name': 'arguments', 'children': [{'name': 'arg', 'children': [{'name': 'str(str=self)', 'id': 9}, {'name': 'NoneType', 'id': 10}], 'id': 8}, {'name': 'NoneType', 'id': 11}, {'name': 'list[]', 'id': 12}, {'name': 'list[]', 'id': 13}, {'name': 'NoneType', 'id': 14}, {'name': 'list[]', 'id': 15}], 'id': 7}, {'name': 'Expr', 'children': [{'name': 'Call', 'children': [{'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=pickle)', 'id': 20}, {'name': 'Load', 'id': 21}], 'id': 19}, {'name': 'str(str=loads)', 'id': 22}, {'name': 'Load', 'id': 23}], 'id': 18}, {'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=self)', 'id': 26}, {'name': 'Load', 'id': 27}], 'id': 25}, {'name': 'str(str=name)', 'id': 28}, {'name': 'Load', 'id': 29}], 'id': 24}, {'name': 'list[]', 'id': 30}], 'id': 17}], 'id': 16}, {'name': 'Return', 'children': [{'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=self)', 'id': 34}, {'name': 'Load', 'id': 35}], 'id': 33}, {'name': 'str(str=name)', 'id': 36}, {'name': 'Load', 'id': 37}], 'id': 32}], 'id': 31}, {'name': 'list[]', 'id': 38}, {'name': 'NoneType', 'id': 39}], 'id': 5} assert get_end_id(root)==35 def test_get_call_details(): #demo code in test/get_call_details call_node={'name': 'Call', 'children': [{'name': 'Attribute', 'children': [{'name': 'Name', 'children': [{'name': 'str(str=pickle)', 'id': 24}, {'name': 'Load', 'id': 25}], 'id': 23}, {'name': 'str(str=loads)', 'id': 26}, {'name': 'Load', 'id': 27}], 'id': 22}, {'name': 'Name', 'children': [{'name': 'str(str=name)', 'id': 29}, {'name': 'Load', 'id': 30}], 'id': 28}, {'name': 'list[]', 'id': 31}], 'id': 21} assert get_call_details(call_node)=='pickle.loads$$$$$$pickle$$$$$$str(str=name)' def test_is_tracked(): #demo code in test/is_tracked/demo.py # case1 assign_list=[('name', ['fp'])] # case2 assign_list2=[('name', ['fp']), ('a', ['aaa']), ('b', ['bbb']), ('c', ['a', 'b'])] # case3 assign_list3=[('name', ['fp']), ('a', ['aaa']), ('b', ['bbb']), ('c', ['a', 'b', 'name'])] assert is_tracked(assign_list,'name')==True assert is_tracked(assign_list2, 'c')!=True assert is_tracked(assign_list3,'c')==True def test_is_controllable(): # demo code in test/is_controllable # case1 assign_list=[('name', ['fp']), ('a', ['aaa']), ('b', ['bbb', 'sys.argv']), ('c', ['a', 'b', 'name'])] assert is_controllable(assign_list,'c')==[(['bbb', 'sys.argv'], 'sys.argv')] def test_ins_is_class(): # demo code in test/ins_is_class ins='ins' all_assigns=[('self', ['fp']), ('a', ['fp']), ('b', ['a']), ('ins', ['A', 'b'])] assert ins_is_class(ins,'A',all_assigns)==True def test_get_class_name(): assert get_class_name('ClassCall:A.func1')=='A' if __name__=='__main__': pytest.main(['unit_test.py'])

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project_alphavantage/modules/__init__.py

leonardomarcao/projecto-alphavantage

ce46065c7bcb01298867c5ed8562d5a73e0b69fe

[ "MIT" ]

null

project_alphavantage/modules/__init__.py

leonardomarcao/projecto-alphavantage

ce46065c7bcb01298867c5ed8562d5a73e0b69fe

[ "MIT" ]

6

2020-02-16T21:05:51.000Z

2020-02-17T03:23:56.000Z

project_alphavantage/modules/__init__.py

leonardomarcao/projecto-alphavantage

ce46065c7bcb01298867c5ed8562d5a73e0b69fe

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2020-02-17T16:03:47.000Z

from . import db from . import alpha_vantage_api

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staging/contexts.py

Pyromanser/django-staging

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[ "BSD-3-Clause" ]

null

staging/contexts.py

Pyromanser/django-staging

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[ "BSD-3-Clause" ]

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staging/contexts.py

Pyromanser/django-staging

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[ "BSD-3-Clause" ]

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2021-06-07T23:09:19.000Z

2021-06-09T21:27:55.000Z

def data_generator_enabled(request): return {'DATA_GENERATOR_ENABLED': True}

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Python

build/lib/drone_awe/validationsettings.py

rymanderson/Drone-Models

396ed030f277a96365c7cbfaffb3d2006e5b12a8

[ "MIT" ]

2

2019-12-01T10:27:54.000Z

2019-12-01T10:28:07.000Z

build/lib/drone_awe/validationsettings.py

rymanderson/drone_awe

396ed030f277a96365c7cbfaffb3d2006e5b12a8

[ "MIT" ]

null

build/lib/drone_awe/validationsettings.py

rymanderson/drone_awe

396ed030f277a96365c7cbfaffb3d2006e5b12a8

[ "MIT" ]

null

params = [ { 'dronename': 'drone', 'stateofhealth': 100.0, 'startstateofcharge': 100.0, 'altitude': 100.0, 'temperaturesealevel': 15.0, 'rain': False, 'dropsize': 0.0, 'liquidwatercontent': 1.0, 'temperature': 15.0, 'wind': False, 'windspeed': 0.0, 'winddirection': 0.0, 'relativehumidity': 85.0, 'icing': False, 'timestep': 1, 'plot': True, 'xlabel': 'missionspeed', 'ylabel': 'alpha', 'title': 'Stolaroff', 'simulationtype': 'simple', 'model': 'abdilla', 'xbegin': 0.0, 'xend': 15.0, 'xnumber': 10, 'validation': False, 'validationcase': 'Stolaroff2018', 'batterytechnology': 'current' }, { 'validation': False, 'validationcase': 'Ostler2009', 'drone': True, 'dronename': 'drone', 'stateofhealth': 100.0, 'startstateofcharge': 100.0, 'altitude': 100.0, 'temperaturesealevel': 15.0, 'rain': False, 'dropsize': 0.0, 'liquidwatercontent': 1.0, 'temperature': 15.0, 'wind': False, 'windspeed': 0.0, 'winddirection': 0.0, 'relativehumidity': 89.0, 'icing': False, 'timestep': 1, 'plot': True, 'xlabel': 'missionspeed', 'ylabel': 'power', 'title': 'Ostler2009', 'simulationtype': 'simple', 'xbegin': 0.0, 'xend': 30.0, 'xnumber': 20, 'batterytechnology': 'current' }, { 'drone': True, 'dronename': 'drone', 'stateofhealth': 100.0, 'startstateofcharge': 100.0, 'altitude': 100.0, 'temperaturesealevel': 15.0, 'rain': False, 'dropsize': 0.0, 'liquidwatercontent': 1.0, 'temperature': 15.0, 'wind': False, 'windspeed': 0.0, 'winddirection': 0.0, 'relativehumidity': 89.0, 'icing': False, 'timestep': 1, 'plot': True, 'xlabel': 'payload', 'ylabel': 'endurance', 'title': 'FreeFLY_Alta8', 'simulationtype': 'simple', 'xbegin': 0.0, 'xend': 10.0, 'xnumber': 100, 'validation': False, 'validationcase': 'FreeFLYAlta8', 'batterytechnology': 'current' }, { 'dronename': 'drone', 'stateofhealth': 100.0, 'startstateofcharge': 100.0, 'altitude': 100.0, 'temperaturesealevel': 15.0, 'rain': False, 'dropsize': 0.0, 'liquidwatercontent': 1.0, 'temperature': 15.0, 'wind': False, 'windspeed': 0.0, 'winddirection': 0.0, 'relativehumidity': 0.0, 'icing': False, 'timestep': 1, 'plot': True, 'xlabel': 'payload', 'ylabel': 'endurance', 'title': 'FreeFLY_Alta8', 'simulationtype': 'simple', 'xbegin': 0.0, 'xend': 1.0, 'xnumber': 20, 'validation': False, 'validationcase': 'FireFLY6Pro', 'batterytechnology': 'current' }, { 'dronename': 'drone', 'stateofhealth': 90.0, 'startstateofcharge': 100.0, 'altitude': 100.0, 'temperaturesealevel': 15.0, 'rain': False, 'dropsize': 0.0, 'liquidwatercontent': 1.0, 'temperature': 15.0, 'wind': False, 'windspeed': 0.0, 'winddirection': 0.0, 'relativehumidity': 0.0, 'icing': False, 'timestep': 1, 'plot': True, 'xlabel': 'payload', 'ylabel': 'power', 'title': 'First_test', 'simulationtype': 'simple', 'model': 'abdilla', 'xbegin': 0.5, 'xend': 1.5, 'xnumber': 10, 'validation': False, 'validationcase': 'Dorling2017_3S', 'batterytechnology': 'current' }, { 'dronename': 'drone', 'stateofhealth': 90.0, 'startstateofcharge': 100.0, 'altitude': 100.0, 'temperaturesealevel': 15.0, 'rain': False, 'dropsize': 0.0, 'liquidwatercontent': 1.0, 'temperature': 15.0, 'wind': False, 'windspeed': 0.0, 'winddirection': 0.0, 'relativehumidity': 0.0, 'icing': False, 'timestep': 1, 'plot': True, 'xlabel': 'payload', 'ylabel': 'power', 'title': 'First_test', 'simulationtype': 'simple', 'model': 'abdilla', 'xbegin': 0.5, 'xend': 1.5, 'xnumber': 10, 'validation': False, 'validationcase': 'Dorling2017_4S', 'batterytechnology': 'current' }, { 'dronename': 'drone', 'stateofhealth': 100.0, 'startstateofcharge': 100.0, 'altitude': 100.0, 'temperaturesealevel': 15.0, 'rain': False, 'dropsize': 0.0, 'liquidwatercontent': 1.0, 'temperature': 15.0, 'wind': False, 'windspeed': 0.0, 'winddirection': 0.0, 'relativehumidity': 0.0, 'icing': False, 'timestep': 1, 'plot': True, 'xlabel': 'missionspeed', 'ylabel': 'power', 'title': 'DiFranco', 'simulationtype': 'simple', 'model': 'abdilla', 'xbegin': 0.0, 'xend': 16.0, 'xnumber': 20, 'validation': False, 'validationcase': 'DiFranco2016', 'batterytechnology': 'current' }, { 'dronename': 'drone', 'stateofhealth': 100.0, 'startstateofcharge': 100.0, 'altitude': 100.0, 'temperaturesealevel': 15.0, 'rain': False, 'dropsize': 0.0, 'liquidwatercontent': 1.0, 'temperature': 15.0, 'wind': False, 'windspeed': 0.0, 'winddirection': 0.0, 'relativehumidity': 0.0, 'icing': False, 'timestep': 1, 'plot': True, 'xlabel': 'missionspeed', 'ylabel': 'power', 'title': 'Stolaroff', 'simulationtype': 'simple', 'model': 'abdilla', 'xbegin': 0.0, 'xend': 16.0, 'xnumber': 20, 'validation': False, 'validationcase': 'Chang2016', 'batterytechnology': 'current' }, { 'dronename': 'drone', 'stateofhealth': 90.0, 'startstateofcharge': 100.0, 'altitude': 100.0, 'temperaturesealevel': 15.0, 'rain': False, 'dropsize': 0.0, 'liquidwatercontent': 1.0, 'temperature': 15.0, 'wind': False, 'windspeed': 0.0, 'winddirection': 0.0, 'relativehumidity': 0.0, 'icing': False, 'timestep': 1, 'plot': True, 'xlabel': 'payload', 'ylabel': 'endurance', 'title': 'Abdilla 2015 Endurance vs Payload Validation Test', 'simulationtype': 'simple', 'model': 'abdilla', 'xbegin': 0.4, 'xend': 0.55, 'xnumber': 20, 'validation': False, 'validationcase': 'Abdilla2015endurance', 'batterytechnology': 'current' } ]

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SidraELEzz/Basic

022bbcc3c418f694a9c3e86ae73ed8d220393936

[ "MIT" ]

13

2021-01-30T14:56:24.000Z

2022-03-05T16:59:47.000Z

Root.py

SidraELEzz/Basic

022bbcc3c418f694a9c3e86ae73ed8d220393936

[ "MIT" ]

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SidraELEzz/Basic

022bbcc3c418f694a9c3e86ae73ed8d220393936

[ "MIT" ]

1

2021-02-22T09:01:10.000Z

#Coded By Sidra ELEzz 2021 #YouTube :Termux Tools #Telegram:@SS_SS_1 import base64 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0

10

0d6dd301aa4cb72024a11b8a2a18a68ccf0051ff

23,274

py

Python

misc/DataLoader.py

srama2512/sidekicks

a5c487bb30540c98f04ece5e2c22ef95963afbdb

[ "MIT" ]

26

2018-07-30T19:14:49.000Z

2022-03-12T12:49:36.000Z

misc/DataLoader.py

srama2512/sidekicks

a5c487bb30540c98f04ece5e2c22ef95963afbdb

[ "MIT" ]

2

2018-12-10T17:12:27.000Z

2019-07-15T22:47:28.000Z

misc/DataLoader.py

srama2512/sidekicks

a5c487bb30540c98f04ece5e2c22ef95963afbdb

[ "MIT" ]

8

2018-12-18T00:55:45.000Z

2019-11-11T18:42:49.000Z

import h5py import random import numpy as np import pdb import torch class DataLoaderSimple(object): """ DataLoader class for abstracting the reading, batching and shuffling operations Does not use expert rewards. """ def __init__(self, opts): """ Loads the dataset and saves settings needed: (1) dataset statistics (2) shuffle (3) debug statistics (4) iteration tracker Opts required: seed, h5_path, shuffle, batch_size, h5_path_unseen (optional) mask_path (optional) """ # ---- Load the dataset ---- self.h5_file = h5py.File(opts.h5_path, 'r') self.data = {} self.data['train'] = np.array(self.h5_file['train']) self.data['val'] = np.array(self.h5_file['val']) self.data['test'] = np.array(self.h5_file['test']) if 'val_highres' in self.h5_file.keys(): self.data['val_highres'] = np.array(self.h5_file['val_highres']) self.data['test_highres'] = np.array(self.h5_file['test_highres']) # ---- Load the unseen classes ---- if opts.h5_path_unseen != '': h5_file_unseen = h5py.File(opts.h5_path_unseen, 'r') self.data['test_unseen'] = np.array(h5_file_unseen['test']) # ---- Save settings needed for batching operations ---- # Dataset statistics self.train_count = self.h5_file['train'].shape[0] self.val_count = self.h5_file['val'].shape[0] self.test_count = self.h5_file['test'].shape[0] if opts.h5_path_unseen != '': self.test_unseen_count = self.data['test_unseen'].shape[0] if hasattr(opts, 'mask_path') and opts.mask_path != '': mask_file = h5py.File(opts.mask_path, 'r') self.masks = {} self.masks['test'] = np.array(mask_file['test_mask']) if opts.h5_path_unseen != '': self.masks['test_unseen'] = np.array(mask_file['test_unseen_mask']) self.hasmasks = True else: self.hasmasks = False self.pano_shape = self.h5_file['train'].shape[1:] # Iteration tracker self.train_idx = 0 self.val_idx = 0 self.test_idx = 0 if opts.h5_path_unseen != '': self.test_unseen_idx = 0 self.batch_size = opts.batch_size # Shuffle the training data indices and access them in the shuffled order self.shuffle = opts.shuffle self.shuffled_idx = list(range(self.h5_file['train'].shape[0])) if self.shuffle: random.shuffle(self.shuffled_idx) # Debug mode self.debug = opts.debug self.N = self.data['train'].shape[1] self.M = self.data['train'].shape[2] self.C = self.data['train'].shape[3] self.H = self.data['train'].shape[4] self.W = self.data['train'].shape[5] if 'val_highres' in self.data: self.H_highres = self.data['val_highres'].shape[4] self.W_highres = self.data['test_highres'].shape[5] def next_batch_train(self): """ Returns the next training batch (indexed by self.shuffled_idx and starting at self.train_idx) out: BxNxMxCx32x32 depleted: is the epoch over? """ batch_size = min(self.batch_size, self.train_count - self.train_idx) out = np.array(self.data['train'][self.shuffled_idx[self.train_idx:(self.train_idx+batch_size)], :, :, :, :, :]) if self.debug: assert((batch_size == self.batch_size) or (self.train_idx + batch_size == self.train_count)) assert(out.shape == (batch_size, self.N, self.M, self.C, self.H, self.W)) if self.train_idx + batch_size == self.train_count: depleted = True self.train_idx = 0 else: depleted = False self.train_idx = self.train_idx + batch_size return out, depleted def next_batch_val(self, highres=False): """ Returns the next validation batch out: BxNxMxCx32x32 out_highres: BxNxMxCx448x448 (optional) depleted: is the epoch over? """ batch_size = min(self.batch_size, self.val_count - self.val_idx) out = np.array(self.data['val'][self.val_idx:(self.val_idx+batch_size), :, :, :, :, :]) if highres: out_highres = np.array(self.data['val_highres'][self.val_idx:(self.val_idx+batch_size), :, :, :, :, :]) if self.debug: assert((batch_size == self.batch_size) or (self.val_idx + batch_size == self.val_count)) assert(out.shape == (batch_size, self.N, self.M, self.C, self.H, self.W)) if highres: assert(out_highres.shape == (batch_size, self.N, self.M, self.C, self.H_highres, self.W_highres)) if self.val_idx + batch_size == self.val_count: depleted = True self.val_idx = 0 else: depleted = False self.val_idx = self.val_idx + batch_size if not highres: return out, depleted else: return out, out_highres, depleted def next_batch_test(self, highres=False): """ Returns the next testing batch out: BxNxMxCx32x32 out_highres: BxNxMxCx448x448 (optional) depleted: is the epoch over? """ batch_size = min(self.batch_size, self.test_count - self.test_idx) out = np.array(self.data['test'][self.test_idx:(self.test_idx+batch_size), :, :, :, :, :]) if highres: out_highres = np.array(self.data['test_highres'][self.test_idx:(self.test_idx+batch_size), :, :, :, :, :]) if self.hasmasks: out_masks = self.masks['test'][self.test_idx:(self.test_idx+batch_size), :, :, :, :, :] else: out_masks = None if self.debug: assert((batch_size == self.batch_size) or (self.test_idx + batch_size == self.test_count)) assert(out.shape == (batch_size, self.N, self.M, self.C, self.H, self.W)) if highres: assert(out_highres.shape == (batch_size, self.N, self.M, self.C, self.H_highres, self.W_highres)) if self.hasmasks: assert(out_masks.shape == (batch_size, self.N, self.M, self.C, self.H, self.W)) if self.test_idx + batch_size == self.test_count: depleted = True self.test_idx = 0 else: depleted = False self.test_idx = self.test_idx + batch_size if not highres: return out, out_masks, depleted else: return out, out_highres, out_masks, depleted def next_batch_test_unseen(self): """ Returns the next unseen classes testing batch out: BxNxMxCx32x32 """ batch_size = min(self.batch_size, self.test_unseen_count - self.test_unseen_idx) out = np.array(self.data['test_unseen'][self.test_unseen_idx:(self.test_unseen_idx+batch_size), :, :, :, :, :]) if self.hasmasks: out_masks = self.masks['test_unseen'][self.test_unseen_idx:(self.test_unseen_idx+batch_size), :, :, :, :, :] else: out_masks = None if self.debug: assert((batch_size == self.batch_size) or (self.test_unseen_idx + batch_size == self.test_unseen_count)) assert(out.shape == (batch_size, self.N, self.M, self.C, self.H, self.W)) if self.test_unseen_idx + batch_size == self.test_unseen_count: depleted = True self.test_unseen_idx = 0 else: depleted = False self.test_unseen_idx = self.test_unseen_idx + batch_size return out, out_masks, depleted class DataLoaderExpert(DataLoaderSimple): """ DataLoader class for abstracting the reading, batching and shuffling operations Uses expert rewards. """ def __init__(self, opts): """ Loads the dataset, rewards and saves settings needed: (1) dataset statistics (2) shuffle (3) debug statistics (4) iteration tracker Opts required: seed, h5_path, shuffle, batch_size, rewards_h5_path """ # ---- Load the dataset, save settings ---- super(DataLoaderExpert, self).__init__(opts) # ---- Load the rewards ---- rewards_file = h5py.File(opts.rewards_h5_path) self.rewards = {} # These are KxNxM arrays containing rewards corresponding to each views of # all panoramas in the train and val splits self.rewards['train'] = np.array(rewards_file['train/nms']) self.rewards['val'] = np.array(rewards_file['val/nms']) def next_batch_train(self): """ Returns the next training batch (indexed by self.shuffled_idx and starting at self.train_idx) out: BxNxMxCx32x32 out_rewards: BxNxM """ batch_size = min(self.batch_size, self.train_count - self.train_idx) out = np.array(self.data['train'][self.shuffled_idx[self.train_idx:(self.train_idx+batch_size)], :, :, :, :, :]) out_rewards = self.rewards['train'][self.shuffled_idx[self.train_idx:(self.train_idx+batch_size)], :, :] if self.debug: assert((batch_size == self.batch_size) or (self.train_idx + batch_size == self.train_count)) assert(out.shape == (batch_size, self.N, self.M, self.C, self.H, self.W)) assert(out_rewards.shape == (batch_size, self.N, self.M)) if self.train_idx + batch_size == self.train_count: depleted = True self.train_idx = 0 else: depleted = False self.train_idx = self.train_idx + batch_size return out, out_rewards, depleted def next_batch_val(self): """ Returns the next validation batch out: BxNxMxCx32x32 out_rewards: BxNxM """ batch_size = min(self.batch_size, self.val_count - self.val_idx) out = self.data['val'][self.val_idx:(self.val_idx+batch_size), :, :, :, :, :] out_rewards = self.rewards['val'][self.val_idx:(self.val_idx+batch_size), :, :] if self.debug: assert((batch_size == self.batch_size) or (self.val_idx + batch_size == self.val_count)) assert(out.shape == (batch_size, self.N, self.M, self.C, self.H, self.W)) assert(out_rewards.shape == (batch_size, self.N, self.M)) if self.val_idx + batch_size == self.val_count: depleted = True self.val_idx = 0 else: depleted = False self.val_idx = self.val_idx + batch_size return out, out_rewards, depleted class DataLoaderExpertPolicy(DataLoaderSimple): """ DataLoader class for abstracting the reading, batching and shuffling operations Uses expert trajectories. """ def __init__(self, opts): """ Loads the dataset, utility maps and saves settings needed: (1) dataset statistics (2) shuffle (3) debug statistics (4) iteration tracker Opts required: seed, h5_path, shuffle, batch_size, utility_h5_path, h5_path_unseen, debug """ # ---- Load the dataset, save the settings ---- super(DataLoaderExpertPolicy, self).__init__(opts) self.trajectories_type = opts.trajectories_type if opts.trajectories_type == 'utility_maps': # ---- Load the utility maps ---- utility_file = h5py.File(opts.utility_h5_path) self.utility_maps = {} # These are KxNxMxNxM arrays for split in utility_file.keys(): self.utility_maps[split] = np.array(utility_file[split]['utility_maps']) elif opts.trajectories_type == 'expert_trajectories': # ---- Load the trajectories ---- # {'train': #train_samples x T-1 numpy array, 'val': #val_samples x T-1 numpy array} self.trajectories = torch.load(opts.utility_h5_path) else: raise ValueError('Wrong trajectories_type!') def next_batch_train(self): """ Returns the next training batch (indexed by self.shuffled_idx and starting at self.train_idx) out: BxNxMxCx32x32 out_maps: BxNxMxNxM """ batch_size = min(self.batch_size, self.train_count - self.train_idx) out = np.array(self.data['train'][self.shuffled_idx[self.train_idx:(self.train_idx+batch_size)], :, :, :, :, :]) if self.trajectories_type == 'utility_maps': out_maps = self.utility_maps['train'][self.shuffled_idx[self.train_idx:(self.train_idx+batch_size)]] else: out_maps = {} for i in range(self.N): for j in range(self.M): out_maps[(i, j)] = self.trajectories['train'][(i, j)][self.shuffled_idx[self.train_idx:(self.train_idx+batch_size)], :] if self.debug: assert((batch_size == self.batch_size) or (self.train_idx + batch_size == self.train_count)) assert(out.shape == (batch_size, self.N, self.M, self.C, self.H, self.W)) if self.trajectories_type == 'utility_maps': assert(out_maps.shape == (batch_size, self.N, self.M, self.N, self.M)) else: assert(len(out_maps.keys()) == self.M * self.N) assert(out_maps[(0, 0)].shape[0] == batch_size) if self.train_idx + batch_size == self.train_count: depleted = True self.train_idx = 0 else: depleted = False self.train_idx = self.train_idx + batch_size return out, out_maps, depleted def next_batch_val(self): """ Returns the next validation batch out: BxNxMxCx32x32 out_maps: BxNxMxNxM """ batch_size = min(self.batch_size, self.val_count - self.val_idx) out = self.data['val'][self.val_idx:(self.val_idx+batch_size), :, :, :, :, :] if self.trajectories_type == 'utility_maps': out_maps = self.utility_maps['val'][self.val_idx:(self.val_idx+batch_size)] else: out_maps = {} for i in range(self.N): for j in range(self.M): out_maps[(i, j)] = self.trajectories['val'][(i, j)][self.val_idx:(self.val_idx+batch_size), :] if self.debug: assert((batch_size == self.batch_size) or (self.val_idx + batch_size == self.val_count)) assert(out.shape == (batch_size, self.N, self.M, self.C, self.H, self.W)) if self.trajectories_type == 'utility_maps': assert(out_maps.shape == (batch_size, self.N, self.M, self.N, self.M)) else: assert(len(out_maps.keys()) == self.M * self.N) assert(out_maps[(0, 0)].shape[0] == batch_size) if self.val_idx + batch_size == self.val_count: depleted = True self.val_idx = 0 else: depleted = False self.val_idx = self.val_idx + batch_size return out, out_maps, depleted def next_batch_test(self, highres=False): """ Returns the next testing batch out: BxNxMxCx32x32 out_masks: ??? out_maps: BxNxMxNxM out_highres: BxNxMxCx448x448 (optional) depleted: is the epoch over? """ batch_size = min(self.batch_size, self.test_count - self.test_idx) out = np.array(self.data['test'][self.test_idx:(self.test_idx+batch_size), :, :, :, :, :]) if highres: out_highres = np.array(self.data['test_highres'][self.test_idx:(self.test_idx+batch_size), :, :, :, :, :]) if self.hasmasks: out_masks = self.masks['test'][self.test_idx:(self.test_idx+batch_size), :, :, :, :, :] else: out_masks = None if self.trajectories_type == 'utility_maps': out_maps = self.utility_maps['test'][self.test_idx:(self.test_idx+batch_size)] else: out_maps = {} for i in range(self.N): for j in range(self.M): out_maps[(i, j)] = self.trajectories['test'][(i, j)][self.test_idx:(self.test_idx+batch_size), :] if self.debug: assert((batch_size == self.batch_size) or (self.test_idx + batch_size == self.test_count)) assert(out.shape == (batch_size, self.N, self.M, self.C, self.H, self.W)) if highres: assert(out_highres.shape == (batch_size, self.N, self.M, self.C, self.H_highres, self.W_highres)) if self.hasmasks: assert(out_masks.shape == (batch_size, self.N, self.M, self.C, self.H, self.W)) if self.trajectories_type == 'utility_maps': assert(out_maps.shape == (batch_size, self.N, self.M, self.N, self.M)) else: assert(len(out_maps.keys()) == self.M * self.N) assert(out_maps[(0, 0)].shape[0] == batch_size) if self.test_idx + batch_size == self.test_count: depleted = True self.test_idx = 0 else: depleted = False self.test_idx = self.test_idx + batch_size if not highres: return out, out_masks, out_maps, depleted else: return out, out_highres, out_masks, out_maps, depleted def next_batch_test_unseen(self): """ Returns the next unseen classes testing batch out: BxNxMxCx32x32 out_maps: BxNxMxNxM out_masks: ??? depleted: is the epoch over? """ batch_size = min(self.batch_size, self.test_unseen_count - self.test_unseen_idx) out = np.array(self.data['test_unseen'][self.test_unseen_idx:(self.test_unseen_idx+batch_size), :, :, :, :, :]) if self.hasmasks: out_masks = self.masks['test_unseen'][self.test_unseen_idx:(self.test_unseen_idx+batch_size), :, :, :, :, :] else: out_masks = None if self.trajectories_type == 'utility_maps': out_maps = self.utility_maps['test_unseen'][self.test_unseen_idx:(self.test_unseen_idx + batch_size)] else: out_maps = {} for i in range(self.N): for j in range(self.M): out_maps[(i, j)] = self.trajectories['test_unseen'][self.test_unseen_idx:(self.test_unseen_idx+batch_size), :] if self.debug: assert((batch_size == self.batch_size) or (self.test_unseen_idx + batch_size == self.test_unseen_count)) assert(out.shape == (batch_size, self.N, self.M, self.C, self.H, self.W)) if self.trajectories_type == 'utility_maps': assert(out_maps.shape == (batch_size, self.N, self.M, self.N, self.M)) else: assert(len(out_maps.keys()) == self.M * self.N) assert(out_maps[(0, 0)].shape[0] == batch_size) if self.test_unseen_idx + batch_size == self.test_unseen_count: depleted = True self.test_unseen_idx = 0 else: depleted = False self.test_unseen_idx = self.test_unseen_idx + batch_size return out, out_masks, out_maps, depleted class DataLoaderExpertBoth(DataLoaderSimple): # TODO: Need to update trajectories_type here # TODO: Add next_batch_test with expert trajectories option here """ DataLoader class for abstracting the reading, batching and shuffling operations Uses expert trajectories and rewards. """ def __init__(self, opts): """ Loads the dataset, utility maps and saves settings needed: (1) dataset statistics (2) shuffle (3) debug statistics (4) iteration tracker Opts required: seed, h5_path, shuffle, batch_size, utility_h5_path, rewards_h5_path, h5_path_unseen, debug """ # ---- Load the dataset, save the settings ---- super(DataLoaderExpertBoth, self).__init__(opts) # ---- Load the utility maps and rewards ---- utility_file = h5py.File(opts.utility_h5_path) rewards_file = h5py.File(opts.rewards_h5_path) self.rewards = {} self.utility_maps = {} # These are KxNxMxNxM arrays self.utility_maps['train'] = np.array(utility_file['train/utility_maps']) self.utility_maps['val'] = np.array(utility_file['val/utility_maps']) # These are KxNxM arrays containing rewards corresponding to each views of # all panoramas in the train and val splits self.rewards['train'] = np.array(rewards_file['train/nms']) self.rewards['val'] = np.array(rewards_file['val/nms']) def next_batch_train(self): """ Returns the next training batch (indexed by self.shuffled_idx and starting at self.train_idx) out: BxNxMxCx32x32 out_maps: BxNxMxNxM out_rewards: BxNxM """ batch_size = min(self.batch_size, self.train_count - self.train_idx) out = np.array(self.data['train'][self.shuffled_idx[self.train_idx:(self.train_idx+batch_size)], :, :, :, :, :]) out_maps = self.utility_maps['train'][self.shuffled_idx[self.train_idx:(self.train_idx+batch_size)]] out_rewards = self.rewards['train'][self.shuffled_idx[self.train_idx:(self.train_idx+batch_size)], :, :] if self.debug: assert((batch_size == self.batch_size) or (self.train_idx + batch_size == self.train_count)) assert(out.shape == (batch_size, self.N, self.M, self.C, self.H, self.W)) assert(out_maps.shape == (batch_size, self.N, self.M, self.N, self.M)) assert(out_rewards.shape == (batch_size, self.N, self.M)) if self.train_idx + batch_size == self.train_count: depleted = True self.train_idx = 0 else: depleted = False self.train_idx = self.train_idx + batch_size return out, out_maps, out_rewards, depleted def next_batch_val(self): """ Returns the next validation batch out: BxNxMxCx32x32 out_maps: BxNxMxNxM out_rewards: BxNxM """ batch_size = min(self.batch_size, self.val_count - self.val_idx) out = self.data['val'][self.val_idx:(self.val_idx+batch_size), :, :, :, :, :] out_maps = self.utility_maps['val'][self.val_idx:(self.val_idx+batch_size)] out_rewards = self.rewards['val'][self.val_idx:(self.val_idx+batch_size)] if self.debug: assert((batch_size == self.batch_size) or (self.val_idx + batch_size == self.val_count)) assert(out.shape == (batch_size, self.N, self.M, self.C, self.H, self.W)) assert(out_maps.shape == (batch_size, self.N, self.M, self.N, self.M)) assert(out_rewards.shape == (batch_size, self.N, self.M)) if self.val_idx + batch_size == self.val_count: depleted = True self.val_idx = 0 else: depleted = False self.val_idx = self.val_idx + batch_size return out, out_maps, out_rewards, depleted

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pyqt_transparent_timer/__init__.py

yjg30737/pyqt-transparent-timer

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pyqt_transparent_timer/__init__.py

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6919a92517db62832e1048b1d1afc3f1b8449c11

[ "MIT" ]

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pyqt_transparent_timer/__init__.py

yjg30737/pyqt-transparent-timer

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[ "MIT" ]

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streamr/protocol/util/meta.py

streamr-dev/streamr-client-python

8160df6d58cc124369bc47cf56245c7d17bf662f

[ "Apache-2.0" ]

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2019-06-13T04:02:55.000Z

2022-02-10T04:33:49.000Z

streamr/protocol/util/meta.py

streamr-dev/streamr-client-python

8160df6d58cc124369bc47cf56245c7d17bf662f

[ "Apache-2.0" ]

3

2019-01-17T22:59:01.000Z

2021-11-06T16:49:14.000Z

streamr/protocol/util/meta.py

streamr-dev/streamr-client-python

8160df6d58cc124369bc47cf56245c7d17bf662f

[ "Apache-2.0" ]

4

2019-01-27T14:02:07.000Z

2021-11-02T15:08:31.000Z

""" Metaclass of Response and Request """ class ResponseMeta(type): """ Meta class of Response """ response_class_by_response_type = {} @classmethod def register(mcs, clazz, typez): """ register son class to response_class_by_response_type :param clazz: son class :param typez: son class type :return: None """ mcs.response_class_by_response_type[typez] = clazz def __new__(mcs, name, base, attrs): clazz = super().__new__(mcs, name, base, attrs) if name not in ['Response', 'ResendResponse']: mcs.register(clazz, attrs['TYPE']) return clazz class RequestMeta(type): """ Meta class of Request """ response_class_by_response_type = {} @classmethod def register(mcs, clazz, typez): """ register son class to response_class_by_response_type :param clazz: son class :param typez: son class type :return: None """ mcs.response_class_by_response_type[typez] = clazz def __new__(mcs, name, base, attrs): clazz = super().__new__(mcs, name, base, attrs) if name not in ['Request']: mcs.register(clazz, attrs['TYPE']) return clazz

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0

null

0

1

0

1

0

null

0

8

0d987b6c1952a95f579b63d2251b43ce982fb6cb

151

py

Python

cloudberry-py/cloudberry/api/model/series/__init__.py

olliekrk/cloud-berry

8b39fb0b4f8772348fb50c0c1d0200c96df03cbe

[ "MIT" ]

null

cloudberry-py/cloudberry/api/model/series/__init__.py

olliekrk/cloud-berry

8b39fb0b4f8772348fb50c0c1d0200c96df03cbe

[ "MIT" ]

null

cloudberry-py/cloudberry/api/model/series/__init__.py

olliekrk/cloud-berry

8b39fb0b4f8772348fb50c0c1d0200c96df03cbe

[ "MIT" ]

null

from .data_point import DataPoint from .data_series import DataSeries from .data_series import SeriesInfo from .data_series_pack import DataSeriesPack

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151

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null

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0

1

0

1

0

8

0da88be3b70b97bcdc7c4063084fa03f948b836b

222

py

Python

capacity/operators.py

JuanBalceda/python-basics

65649f1b5619efb1a4bb56abc904f848eb42a986

[ "MIT" ]

null

capacity/operators.py

JuanBalceda/python-basics

65649f1b5619efb1a4bb56abc904f848eb42a986

[ "MIT" ]

null

capacity/operators.py

JuanBalceda/python-basics

65649f1b5619efb1a4bb56abc904f848eb42a986

[ "MIT" ]

null

print(divmod(100, 7)) print(7 > 2 and 1 > 6) print(7 > 2 or 1 > 6) number_list = [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16] print(number_list[2:8]) print(number_list[0:9:3]) print(number_list[0:10:3])

22.2

67

0.576577

50

222

2.48

0.48

0.322581

0.362903

0.258065

0

0.245714

0.211712

222

9

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null

0

1

0

7

0dce0803053ef5c46622087ad9b526e24eeeee1a

1,592

py

Python

Video Downloader/run.py

legitshivam/PET

7d90aac36eadf6255cc4004f72e147987221826a

[ "MIT" ]

1

2021-11-07T06:19:36.000Z

Video Downloader/run.py

legitshivam/PET

7d90aac36eadf6255cc4004f72e147987221826a

[ "MIT" ]

null

Video Downloader/run.py

legitshivam/PET

7d90aac36eadf6255cc4004f72e147987221826a

[ "MIT" ]

null

from scrapper.cartoonsarea import download_link_generator, all_download_link_generator if __name__ == '__main__': url_list = ['https://eng.cartoonsarea.xyz/English-Dubbed-Series/O-Dubbed-Series/One-Piece-Dubbed-Videos/One-Piece-Season-15-Dubbed-Videos/', 'https://eng.cartoonsarea.xyz/English-Dubbed-Series/O-Dubbed-Series/One-Piece-Dubbed-Videos/One-Piece-Season-15-Dubbed-Videos/?page=2', 'https://eng.cartoonsarea.xyz/English-Dubbed-Series/O-Dubbed-Series/One-Piece-Dubbed-Videos/One-Piece-Season-15-Dubbed-Videos/?page=3', 'https://eng.cartoonsarea.xyz/English-Dubbed-Series/O-Dubbed-Series/One-Piece-Dubbed-Videos/One-Piece-Season-16-Dubbed-Videos/', 'https://eng.cartoonsarea.xyz/English-Dubbed-Series/O-Dubbed-Series/One-Piece-Dubbed-Videos/One-Piece-Season-16-Dubbed-Videos/?page=2', 'https://eng.cartoonsarea.xyz/English-Dubbed-Series/O-Dubbed-Series/One-Piece-Dubbed-Videos/One-Piece-Season-17-Dubbed-Videos/', 'https://eng.cartoonsarea.xyz/English-Dubbed-Series/O-Dubbed-Series/One-Piece-Dubbed-Videos/One-Piece-Season-17-Dubbed-Videos/?page=2', 'https://eng.cartoonsarea.xyz/English-Dubbed-Series/O-Dubbed-Series/One-Piece-Dubbed-Videos/One-Piece-Season-17-Dubbed-Videos/?page=3', 'https://eng.cartoonsarea.xyz/English-Dubbed-Series/O-Dubbed-Series/One-Piece-Dubbed-Videos/One-Piece-Season-17-Dubbed-Videos/?page=4'] for url in url_list: links = all_download_link_generator(url) wait = input('\nNext-->') exit()

66.333333

151

0.711055

223

1,592

4.995516

0.170404

0.193896

0.16158

0.185817

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0

0.017229

0.125

1,592

23

152

69.217391

0.782484

0

0.6

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false

0

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0

0.066667

0

null

0

1

0

1

0

null

0

9

0dfa4a7a1da5fa8586668c71b8a50e91252c069c

225

py

Python

rpmvenv/extensions/python/__init__.py

oleynikandrey/rpmvenv

694c32b2d240285bbae9eee590a39dcb34ef1e2c

[ "MIT" ]

150

2015-03-11T15:38:36.000Z

2022-02-16T10:00:47.000Z

rpmvenv/extensions/python/__init__.py

oleynikandrey/rpmvenv

694c32b2d240285bbae9eee590a39dcb34ef1e2c

[ "MIT" ]

70

2015-03-11T15:40:59.000Z

2022-01-15T15:48:16.000Z

rpmvenv/extensions/python/__init__.py

oleynikandrey/rpmvenv

694c32b2d240285bbae9eee590a39dcb34ef1e2c

[ "MIT" ]

44

2015-03-22T22:26:15.000Z

2021-12-05T19:56:05.000Z

"""Core feature extensions for the project related to Python packaging.""" from __future__ import division from __future__ import absolute_import from __future__ import print_function from __future__ import unicode_literals

32.142857

74

0.848889

29

225

5.931034

0.655172

0.232558

0.372093

0

0.12

225

6

75

37.5

0.868687

0.302222

0

1

0

true

0

1

0

1

0.25

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

219a350a2b8e334b2e1cfc5e76aa31ca079b9079

15,489

py

Python

dymos/transcriptions/pseudospectral/components/test/test_state_interp_comp.py

naylor-b/dymos

56ee72041056ae20c3332d060e291c4da93844b1

[ "Apache-2.0" ]

null

dymos/transcriptions/pseudospectral/components/test/test_state_interp_comp.py

naylor-b/dymos

56ee72041056ae20c3332d060e291c4da93844b1

[ "Apache-2.0" ]

null

dymos/transcriptions/pseudospectral/components/test/test_state_interp_comp.py

naylor-b/dymos

56ee72041056ae20c3332d060e291c4da93844b1

[ "Apache-2.0" ]

null

from __future__ import print_function, division, absolute_import import unittest import numpy as np from numpy.testing import assert_almost_equal from openmdao.api import Problem, Group, IndepVarComp from openmdao.utils.assert_utils import assert_check_partials from dymos.transcriptions.pseudospectral.components import StateInterpComp from dymos.transcriptions.grid_data import GridData from dymos.utils.lgr import lgr SHOW_PLOTS = False if SHOW_PLOTS: import matplotlib.pyplot as plt # Test 1: Let x = t**2, f = 2*t def x(t): return t ** 2 def f_x(t): return 2 * t # Test 1: Let v = t**3-10*t**2, f = 3*t**2 - 20*t def v(t): return t ** 3 - 10 * t ** 2 def f_v(t): return 3 * t ** 2 - 20 * t class TestStateInterpComp(unittest.TestCase): def test_state_interp_comp_lobatto(self): segends = np.array([0.0, 3.0, 10.0]) gd = GridData(num_segments=2, transcription_order=3, segment_ends=segends, transcription='gauss-lobatto') p = Problem(model=Group()) states = {'x': {'units': 'm', 'shape': (1,)}, 'v': {'units': 'm/s', 'shape': (1,)}} X_ivc = IndepVarComp() p.model.add_subsystem('X_ivc', X_ivc, promotes=['state_disc:x', 'state_disc:v']) X_ivc.add_output('state_disc:x', val=np.zeros(gd.subset_num_nodes['state_disc']), units='m') X_ivc.add_output('state_disc:v', val=np.zeros(gd.subset_num_nodes['state_disc']), units='m/s') F_ivc = IndepVarComp() p.model.add_subsystem('F_ivc', F_ivc, promotes=['staterate_disc:x', 'staterate_disc:v']) F_ivc.add_output('staterate_disc:x', val=np.zeros(gd.subset_num_nodes['state_disc']), units='m/s') F_ivc.add_output('staterate_disc:v', val=np.zeros(gd.subset_num_nodes['state_disc']), units='m/s**2') dt_dtau_ivc = IndepVarComp() p.model.add_subsystem('dt_dstau_ivc', dt_dtau_ivc, promotes=['dt_dstau']) dt_dtau_ivc.add_output('dt_dstau', val=0.0*np.zeros(gd.subset_num_nodes['col']), units='s') p.model.add_subsystem('state_interp_comp', subsys=StateInterpComp(transcription='gauss-lobatto', grid_data=gd, state_options=states, time_units='s')) p.model.connect('state_disc:x', 'state_interp_comp.state_disc:x') p.model.connect('state_disc:v', 'state_interp_comp.state_disc:v') p.model.connect('staterate_disc:x', 'state_interp_comp.staterate_disc:x') p.model.connect('staterate_disc:v', 'state_interp_comp.staterate_disc:v') p.model.connect('dt_dstau', 'state_interp_comp.dt_dstau') p.setup(force_alloc_complex=True) segends_disc = segends[np.array((0, 1, 1, 2), dtype=int)] p['state_disc:x'] = [x(t) for t in segends_disc] p['staterate_disc:x'] = [f_x(t) for t in segends_disc] p['state_disc:v'] = [v(t) for t in segends_disc] p['staterate_disc:v'] = [f_v(t) for t in segends_disc] p['dt_dstau'] = (segends[1:] - segends[:-1]) / 2.0 p.run_model() t_disc = segends_disc t_col = (segends[1:] + segends[:-1]) / 2.0 if SHOW_PLOTS: # pragma: no cover f, ax = plt.subplots(2, 1) t = np.linspace(0, 10, 100) x1 = x(t) xdot1 = f_x(t) x2 = v(t) xdot2 = f_v(t) ax[0].plot(t, x1, 'b-', label='$x$') ax[0].plot(t, xdot1, 'b--', label='$\dot{x}$') ax[0].plot(t_disc, p['state_disc:x'], 'bo', label='$X_d:x$') ax[0].plot(t_col, p['state_interp_comp.state_col:x'], 'bv', label='$X_c:x$') ax[0].plot(t_col, p['state_interp_comp.staterate_col:x'], marker='v', color='None', mec='b', label='$Xdot_c:x$') ax[1].plot(t, x2, 'r-', label='$v$') ax[1].plot(t, xdot2, 'r--', label='$\dot{v}$') ax[1].plot(t_disc, p['state_disc:v'], 'ro', label='$X_d:v$') ax[1].plot(t_col, p['state_interp_comp.state_col:v'], 'rv', label='$X_c:v$') ax[1].plot(t_col, p['state_interp_comp.staterate_col:v'], marker='v', color='None', mec='r', label='$Xdot_c:v$') ax[0].legend(loc='upper left', ncol=3) ax[1].legend(loc='upper left', ncol=3) plt.show() # Test 1 assert_almost_equal( p['state_interp_comp.state_col:x'][:, 0], x(t_col)) assert_almost_equal( p['state_interp_comp.staterate_col:x'][:, 0], f_x(t_col)) # Test 2 assert_almost_equal( p['state_interp_comp.state_col:v'][:, 0], v(t_col)) assert_almost_equal( p['state_interp_comp.staterate_col:v'][:, 0], f_v(t_col)) cpd = p.check_partials(compact_print=True, method='cs') assert_check_partials(cpd, atol=5.0E-5) def test_state_interp_comp_lobatto_vectorized(self): segends = np.array([0.0, 3.0, 10.0]) gd = GridData(num_segments=2, transcription_order=3, segment_ends=segends, transcription='gauss-lobatto') p = Problem(model=Group()) states = {'pos': {'units': 'm', 'shape': (2,)}} X_ivc = IndepVarComp() p.model.add_subsystem('X_ivc', X_ivc, promotes=['state_disc:pos']) X_ivc.add_output('state_disc:pos', val=np.zeros((gd.subset_num_nodes['state_disc'], 2)), units='m') F_ivc = IndepVarComp() p.model.add_subsystem('F_ivc', F_ivc, promotes=['staterate_disc:pos']) F_ivc.add_output('staterate_disc:pos', val=np.zeros((gd.subset_num_nodes['state_disc'], 2)), units='m/s') dt_dtau_ivc = IndepVarComp() p.model.add_subsystem('dt_dstau_ivc', dt_dtau_ivc, promotes=['dt_dstau']) dt_dtau_ivc.add_output('dt_dstau', val=0.0*np.zeros(gd.subset_num_nodes['col']), units='s') p.model.add_subsystem('state_interp_comp', subsys=StateInterpComp(transcription='gauss-lobatto', grid_data=gd, state_options=states, time_units='s')) p.model.connect('state_disc:pos', 'state_interp_comp.state_disc:pos') p.model.connect('staterate_disc:pos', 'state_interp_comp.staterate_disc:pos') p.model.connect('dt_dstau', 'state_interp_comp.dt_dstau') p.setup(force_alloc_complex=True) segends_disc = segends[np.array((0, 1, 1, 2), dtype=int)] p['state_disc:pos'][:, 0] = [x(t) for t in segends_disc] # [0.0, 25.0, 25.0, 100.0] p['staterate_disc:pos'][:, 0] = [f_x(t) for t in segends_disc] p['state_disc:pos'][:, 1] = [v(t) for t in segends_disc] p['staterate_disc:pos'][:, 1] = [f_v(t) for t in segends_disc] p['dt_dstau'] = (segends[1:] - segends[:-1]) / 2.0 p.run_model() t_disc = segends_disc t_col = (segends[1:] + segends[:-1]) / 2.0 if SHOW_PLOTS: # pragma: no cover f, ax = plt.subplots(2, 1) print(t_disc) print(t_col) print(p['dt_dstau']) print(p['state_disc:pos'][:, 0]) print(p['staterate_disc:pos'][:, 0]) print(p['state_disc:pos'][:, 0]) print(p['staterate_disc:pos'][:, 1]) t = np.linspace(0, 10, 100) x1 = x(t) xdot1 = f_x(t) x2 = v(t) xdot2 = f_v(t) ax[0].plot(t, x1, 'b-', label='$x$') ax[0].plot(t, xdot1, 'b--', label='$\dot{x}$') ax[0].plot(t_disc, p['state_disc:pos'][:, 0], 'bo', label='$X_d:pos$') ax[0].plot(t_col, p['state_interp_comp.state_col:pos'][:, 0], 'bv', label='$X_c:pos$') ax[0].plot(t_col, p['state_interp_comp.staterate_col:pos'][:, 0], marker='v', color='None', mec='b', label='$Xdot_c:pos$') ax[1].plot(t, x2, 'r-', label='$v$') ax[1].plot(t, xdot2, 'r--', label='$\dot{v}$') ax[1].plot(t_disc, p['state_disc:pos'][:, 1], 'ro', label='$X_d:vel$') ax[1].plot(t_col, p['state_interp_comp.state_col:pos'][:, 1], 'rv', label='$X_c:vel$') ax[1].plot(t_col, p['state_interp_comp.staterate_col:pos'][:, 1], marker='v', color='None', mec='r', label='$Xdot_c:vel$') ax[0].legend(loc='upper left', ncol=3) ax[1].legend(loc='upper left', ncol=3) plt.show() # Test 1 assert_almost_equal( p['state_interp_comp.state_col:pos'][:, 0], x(t_col)) assert_almost_equal( p['state_interp_comp.staterate_col:pos'][:, 0], f_x(t_col)) # Test 2 assert_almost_equal( p['state_interp_comp.state_col:pos'][:, 1], v(t_col)) assert_almost_equal( p['state_interp_comp.staterate_col:pos'][:, 1], f_v(t_col)) cpd = p.check_partials(compact_print=True, method='cs') assert_check_partials(cpd, atol=5.0E-5) def test_state_interp_comp_lobatto_vectorized_different_orders(self): segends = np.array([0.0, 3.0, 10.0]) gd = GridData(num_segments=2, transcription_order=[3, 5], segment_ends=segends, transcription='gauss-lobatto') p = Problem(model=Group()) states = {'pos': {'units': 'm', 'shape': (2,)}} X_ivc = IndepVarComp() p.model.add_subsystem('X_ivc', X_ivc, promotes=['state_disc:pos']) X_ivc.add_output('state_disc:pos', val=np.zeros((gd.subset_num_nodes['state_disc'], 2)), units='m') F_ivc = IndepVarComp() p.model.add_subsystem('F_ivc', F_ivc, promotes=['staterate_disc:pos']) F_ivc.add_output('staterate_disc:pos', val=np.zeros((gd.subset_num_nodes['state_disc'], 2)), units='m/s') dt_dtau_ivc = IndepVarComp() p.model.add_subsystem('dt_dstau_ivc', dt_dtau_ivc, promotes=['dt_dstau']) dt_dtau_ivc.add_output('dt_dstau', val=0.0*np.zeros(gd.subset_num_nodes['col']), units='s') p.model.add_subsystem('state_interp_comp', subsys=StateInterpComp(transcription='gauss-lobatto', grid_data=gd, state_options=states, time_units='s')) p.model.connect('state_disc:pos', 'state_interp_comp.state_disc:pos') p.model.connect('staterate_disc:pos', 'state_interp_comp.staterate_disc:pos') p.model.connect('dt_dstau', 'state_interp_comp.dt_dstau') p.setup(force_alloc_complex=True) segends_disc = np.array((0, 3, 3, 6.5, 10)) p['state_disc:pos'][:, 0] = [x(t) for t in segends_disc] # [0.0, 25.0, 25.0, 100.0] p['staterate_disc:pos'][:, 0] = [f_x(t) for t in segends_disc] p['state_disc:pos'][:, 1] = [v(t) for t in segends_disc] p['staterate_disc:pos'][:, 1] = [f_v(t) for t in segends_disc] p['dt_dstau'] = [3.0/2., 7.0/2, 7.0/2] p.run_model() cpd = p.check_partials(compact_print=True, method='cs') assert_check_partials(cpd, atol=5.0E-5) def test_state_interp_comp_radau(self): gd = GridData(num_segments=1, transcription_order=3, segment_ends=np.array([0, 10]), transcription='radau-ps') p = Problem(model=Group()) states = {'x': {'units': 'm', 'shape': (1,)}, 'v': {'units': 'm/s', 'shape': (1,)}} X_ivc = IndepVarComp() p.model.add_subsystem('X_ivc', X_ivc, promotes=['state_disc:x', 'state_disc:v']) X_ivc.add_output('state_disc:x', val=np.zeros(gd.subset_num_nodes['state_disc']), units='m') X_ivc.add_output('state_disc:v', val=np.zeros(gd.subset_num_nodes['state_disc']), units='m/s') dt_dtau_ivc = IndepVarComp() dt_dtau_ivc.add_output('dt_dstau', val=0.0*np.zeros(gd.subset_num_nodes['col']), units='s') p.model.add_subsystem('dt_dstau_ivc', dt_dtau_ivc, promotes=['dt_dstau']) p.model.add_subsystem('state_interp_comp', subsys=StateInterpComp(transcription='radau-ps', grid_data=gd, state_options=states, time_units='s')) p.model.connect('state_disc:x', 'state_interp_comp.state_disc:x') p.model.connect('state_disc:v', 'state_interp_comp.state_disc:v') p.model.connect('dt_dstau', 'state_interp_comp.dt_dstau') p.setup(force_alloc_complex=True) lgr_nodes, lgr_weights = lgr(3, include_endpoint=True) t_disc = (lgr_nodes + 1.0) * 5.0 t_col = t_disc[:-1] # Test 1: Let x = t**2, f = 2*t p['state_disc:x'] = t_disc**2 # Test 1: Let v = t**3-10*t**2, f = 3*t**2 - 20*t p['state_disc:v'] = t_disc**3-10*t_disc**2 p['dt_dstau'] = 10/2.0 p.run_model() if SHOW_PLOTS: # pragma: no cover f, ax = plt.subplots(2, 1) t_disc = np.array([0, 5, 10]) t_col = np.array([2.5, 7.5]) t = np.linspace(0, 10, 100) x1 = t**2 xdot1 = 2*t x2 = t**3 - 10*t**2 xdot2 = 3*t**2 - 20*t ax[0].plot(t, x1, 'b-', label='$x$') ax[0].plot(t, xdot1, 'b--', label='$\dot{x}$') ax[0].plot(t_disc, p['state_disc:x'], 'bo', label='$X_d:x$') ax[0].plot(t_col, p['state_interp_comp.state_col:x'], 'bv', label='$X_c:x$') ax[0].plot(t_col, p['state_interp_comp.staterate_col:x'], marker='v', color='None', mec='b', label='$Xdot_c:x$') ax[1].plot(t, x2, 'r-', label='$v$') ax[1].plot(t, xdot2, 'r--', label='$\dot{v}$') ax[1].plot(t_disc, p['state_disc:v'], 'ro', label='$X_d:v$') ax[1].plot(t_col, p['state_interp_comp.state_col:v'], 'rv', label='$X_c:v$') ax[1].plot(t_col, p['state_interp_comp.staterate_col:v'], marker='v', color='None', mec='r', label='$Xdot_c:v$') ax[0].legend(loc='upper left', ncol=3) ax[1].legend(loc='upper left', ncol=3) plt.show() # Test 1 assert_almost_equal( p['state_interp_comp.staterate_col:x'][:, 0], 2*t_col) # Test 2 assert_almost_equal( p['state_interp_comp.staterate_col:v'][:, 0], 3*t_col**2 - 20*t_col) cpd = p.check_partials(compact_print=True, method='cs') assert_check_partials(cpd, atol=1.0E-5) if __name__ == '__main__': unittest.main()

37.055024

99

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0.883335

0.861453

0.852389

0.846174

0.845267

0.829729

0

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15,489

417

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false

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null

0

1

0

1

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null

0

7

21cbfe0f564cedab086fbfd82ee3a2cc479af7fc

228

py

Python

DAO/profile_dao.py

umagnanasundaram2128/WolfTrack3.0

3af060899a886cbbe0871f98d554f5f694b3e0f1

[ "MIT" ]

2

2021-09-26T07:33:16.000Z

2021-09-30T06:07:47.000Z

DAO/profile_dao.py

umagnanasundaram2128/WolfTrack3.0

3af060899a886cbbe0871f98d554f5f694b3e0f1

[ "MIT" ]

36

2021-09-26T23:32:19.000Z

2021-09-30T22:54:39.000Z

DAO/profile_dao.py

ArpithaVijayakumar/WolfTrack

2cfef76fa8235625ef66650321d182fc929b8eda

[ "MIT" ]

7

2021-10-05T23:51:03.000Z

2021-11-15T03:34:01.000Z

from sql_helper import sql_helper class profile_dao: def create_profile(self): pass def get_profile(self): pass def update_profile(self): pass def delete_profile(self): pass

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7

0dfd0b6b79ad5b957197b9f7dfcf8fe13a2bef78

223

py

Python

carball/__init__.py

unitedroguegg/carball

4767f2c5d195b7d5d60e6a5575415262803acef7

[ "Apache-2.0" ]

119

2018-09-14T02:14:19.000Z

2022-03-06T05:06:54.000Z

carball/__init__.py

unitedroguegg/carball

4767f2c5d195b7d5d60e6a5575415262803acef7

[ "Apache-2.0" ]

207

2018-09-06T18:53:06.000Z

2022-02-12T22:39:36.000Z

carball/__init__.py

unitedroguegg/carball

4767f2c5d195b7d5d60e6a5575415262803acef7

[ "Apache-2.0" ]

44

2018-09-10T16:54:13.000Z

2022-02-19T03:07:50.000Z

try: from carball.decompile_replays import decompile_replay from carball.decompile_replays import analyze_replay_file except ModuleNotFoundError as e: print("Not importing functions due to missing packages:", e)

44.6

64

0.811659

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223

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0.125

0.227273

0.306818

0.375

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0.143498

223

5

64

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0.921466

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0.214286

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null

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1

0

1

0

1

0

7

df40571510307119e466305fffb65adf4405f177

16,906

py

Python

tests/test_worker.py

gab832/connect-extension-runner

cd9a328f3a154df881170c0b2dd9480a94f0c4c2

[ "Apache-2.0" ]

null

tests/test_worker.py

gab832/connect-extension-runner

cd9a328f3a154df881170c0b2dd9480a94f0c4c2

[ "Apache-2.0" ]

null

tests/test_worker.py

gab832/connect-extension-runner

cd9a328f3a154df881170c0b2dd9480a94f0c4c2

[ "Apache-2.0" ]

null

import asyncio import logging import pytest from websockets.exceptions import ConnectionClosedError, WebSocketException from connect.eaas.dataclasses import ( CapabilitiesPayload, ConfigurationPayload, Message, MessageType, ResultType, TaskCategory, TaskPayload, TaskType, ) from connect.eaas.extension import Extension, ProcessingResponse from connect.eaas.worker import Worker from tests.utils import WSHandler @pytest.mark.asyncio async def test_capabilities_configuration(mocker, ws_server, unused_port): mocker.patch( 'connect.eaas.worker.get_environment', return_value={ 'ws_address': f'127.0.0.1:{unused_port}', 'api_address': f'127.0.0.1:{unused_port}', 'api_key': 'SU-000:XXXX', 'environment_id': 'ENV-000-0001', 'instance_id': 'INS-000-0002', }, ) capabilities = { TaskType.ASSET_PURCHASE_REQUEST_PROCESSING: ['pending', 'inquiring'], TaskType.ASSET_PURCHASE_REQUEST_VALIDATION: ['draft'], } class MyExtension(Extension): @classmethod def get_descriptor(cls): return { 'capabilities': capabilities, 'readme_url': 'https://example.com/README.md', 'changelog_url': 'https://example.com/CHANGELOG.md', } mocker.patch('connect.eaas.worker.get_extension_class', return_value=MyExtension) mocker.patch('connect.eaas.worker.get_extension_type', return_value='sync') data_to_send = Message( MessageType.CONFIGURATION, ConfigurationPayload( { 'var1': 'value1', 'var2': 'value2', }, 'token', ), ).to_json() handler = WSHandler( '/public/v1/devops/ws/ENV-000-0001/INS-000-0002', data_to_send, ['receive', 'send'], ) async with ws_server(handler): worker = Worker(secure=False) task = asyncio.create_task(worker.run()) worker.run_event.set() await asyncio.sleep(.1) worker.run_event.clear() await task handler.assert_received( Message( MessageType.CAPABILITIES, CapabilitiesPayload( capabilities, 'https://example.com/README.md', 'https://example.com/CHANGELOG.md', ), ).to_json(), ) @pytest.mark.asyncio async def test_pr_task(mocker, ws_server, unused_port, httpx_mock): pr_data = {'id': 'PR-000', 'status': 'pending'} httpx_mock.add_response( method='GET', url=f'https://127.0.0.1:{unused_port}/public/v1/requests/PR-000', json=pr_data, ) mocker.patch( 'connect.eaas.worker.get_environment', return_value={ 'ws_address': f'127.0.0.1:{unused_port}', 'api_address': f'127.0.0.1:{unused_port}', 'api_key': 'SU-000:XXXX', 'environment_id': 'ENV-000-0001', 'instance_id': 'INS-000-0002', }, ) capabilities = { TaskType.ASSET_PURCHASE_REQUEST_PROCESSING: ['pending', 'inquiring'], TaskType.ASSET_PURCHASE_REQUEST_VALIDATION: ['draft'], } class MyExtension(Extension): @classmethod def get_descriptor(cls): return { 'capabilities': capabilities, 'readme_url': 'https://example.com/README.md', 'changelog_url': 'https://example.com/CHANGELOG.md', } def process_asset_purchase_request(self, request): assert request == pr_data return ProcessingResponse.done() mocker.patch('connect.eaas.worker.get_extension_class', return_value=MyExtension) mocker.patch('connect.eaas.worker.get_extension_type', return_value='sync') data_to_send = [ Message(MessageType.CONFIGURATION, ConfigurationPayload( {'var': 'val'}, 'api_key', )).to_json(), Message(MessageType.TASK, TaskPayload( 'TQ-000', TaskCategory.BACKGROUND, TaskType.ASSET_PURCHASE_REQUEST_PROCESSING, 'PR-000', )).to_json(), ] handler = WSHandler( '/public/v1/devops/ws/ENV-000-0001/INS-000-0002', data_to_send, ['receive', 'send', 'send', 'receive'], ) async with ws_server(handler): worker = Worker(secure=False) task = asyncio.create_task(worker.run()) worker.run_event.set() await asyncio.sleep(.5) worker.run_event.clear() await task handler.assert_received( Message( MessageType.CAPABILITIES, CapabilitiesPayload( capabilities, 'https://example.com/README.md', 'https://example.com/CHANGELOG.md', ), ).to_json(), ) handler.assert_received( Message(MessageType.TASK, TaskPayload( 'TQ-000', TaskCategory.BACKGROUND, TaskType.ASSET_PURCHASE_REQUEST_PROCESSING, 'PR-000', result=ResultType.SUCCESS, )).to_json(), ) @pytest.mark.asyncio async def test_tcr_task(mocker, ws_server, unused_port, httpx_mock): tcr_data = {'id': 'TCR-000', 'status': 'pending'} httpx_mock.add_response( method='GET', url=f'https://127.0.0.1:{unused_port}/public/v1/tier/config-requests/TCR-000', json=tcr_data, ) mocker.patch( 'connect.eaas.worker.get_environment', return_value={ 'ws_address': f'127.0.0.1:{unused_port}', 'api_address': f'127.0.0.1:{unused_port}', 'api_key': 'SU-000:XXXX', 'environment_id': 'ENV-000-0001', 'instance_id': 'INS-000-0002', }, ) capabilities = { TaskType.TIER_CONFIG_SETUP_REQUEST_PROCESSING: ['pending'], TaskType.ASSET_PURCHASE_REQUEST_VALIDATION: ['draft'], } class MyExtension(Extension): @classmethod def get_descriptor(cls): return { 'capabilities': capabilities, 'readme_url': 'https://example.com/README.md', 'changelog_url': 'https://example.com/CHANGELOG.md', } def process_tier_config_setup_request(self, request): assert request == tcr_data return ProcessingResponse.done() mocker.patch('connect.eaas.worker.get_extension_class', return_value=MyExtension) mocker.patch('connect.eaas.worker.get_extension_type', return_value='sync') data_to_send = [ Message(MessageType.CONFIGURATION, ConfigurationPayload( {'var': 'val'}, 'api_key', )).to_json(), Message(MessageType.TASK, TaskPayload( 'TQ-000', TaskCategory.BACKGROUND, TaskType.TIER_CONFIG_SETUP_REQUEST_PROCESSING, 'TCR-000', )).to_json(), ] handler = WSHandler( '/public/v1/devops/ws/ENV-000-0001/INS-000-0002', data_to_send, ['receive', 'send', 'send', 'receive'], ) async with ws_server(handler): worker = Worker(secure=False) task = asyncio.create_task(worker.run()) worker.run_event.set() await asyncio.sleep(.5) worker.run_event.clear() await task handler.assert_received( Message( MessageType.CAPABILITIES, CapabilitiesPayload( capabilities, 'https://example.com/README.md', 'https://example.com/CHANGELOG.md', ), ).to_json(), ) handler.assert_received( Message(MessageType.TASK, TaskPayload( 'TQ-000', TaskCategory.BACKGROUND, TaskType.TIER_CONFIG_SETUP_REQUEST_PROCESSING, 'TCR-000', result=ResultType.SUCCESS, )).to_json(), ) @pytest.mark.asyncio async def test_pause(mocker, ws_server, unused_port): mocker.patch( 'connect.eaas.worker.get_environment', return_value={ 'ws_address': f'127.0.0.1:{unused_port}', 'api_address': f'127.0.0.1:{unused_port}', 'api_key': 'SU-000:XXXX', 'environment_id': 'ENV-000-0001', 'instance_id': 'INS-000-0002', }, ) capabilities = { TaskType.ASSET_PURCHASE_REQUEST_PROCESSING: ['pending', 'inquiring'], TaskType.ASSET_PURCHASE_REQUEST_VALIDATION: ['draft'], } class MyExtension(Extension): @classmethod def get_descriptor(cls): return { 'capabilities': capabilities, 'readme_url': 'https://example.com/README.md', 'changelog_url': 'https://example.com/CHANGELOG.md', } mocker.patch('connect.eaas.worker.get_extension_class', return_value=MyExtension) mocker.patch('connect.eaas.worker.get_extension_type', return_value='sync') data_to_send = [ Message(MessageType.CONFIGURATION, ConfigurationPayload( {'var': 'val'}, 'api_key', )).to_json(), Message(MessageType.PAUSE).to_json(), ] handler = WSHandler( '/public/v1/devops/ws/ENV-000-0001/INS-000-0002', data_to_send, ['receive', 'send', 'send'], ) async with ws_server(handler): worker = Worker(secure=False) task = asyncio.create_task(worker.run()) worker.run_event.set() await asyncio.sleep(.5) assert worker.paused is True worker.run_event.clear() await task @pytest.mark.asyncio async def test_resume(mocker, ws_server, unused_port): mocker.patch( 'connect.eaas.worker.get_environment', return_value={ 'ws_address': f'127.0.0.1:{unused_port}', 'api_address': f'127.0.0.1:{unused_port}', 'api_key': 'SU-000:XXXX', 'environment_id': 'ENV-000-0001', 'instance_id': 'INS-000-0002', }, ) capabilities = { TaskType.ASSET_PURCHASE_REQUEST_PROCESSING: ['pending', 'inquiring'], TaskType.ASSET_PURCHASE_REQUEST_VALIDATION: ['draft'], } class MyExtension(Extension): @classmethod def get_descriptor(cls): return { 'capabilities': capabilities, 'readme_url': 'https://example.com/README.md', 'changelog_url': 'https://example.com/CHANGELOG.md', } mocker.patch('connect.eaas.worker.get_extension_class', return_value=MyExtension) mocker.patch('connect.eaas.worker.get_extension_type', return_value='sync') data_to_send = [ Message(MessageType.CONFIGURATION, ConfigurationPayload( {'var': 'val'}, 'api_key', )).to_json(), Message(MessageType.PAUSE).to_json(), Message(MessageType.RESUME).to_json(), ] handler = WSHandler( '/public/v1/devops/ws/ENV-000-0001/INS-000-0002', data_to_send, ['receive', 'send', 'send', 'send'], ) async with ws_server(handler): worker = Worker(secure=False) task = asyncio.create_task(worker.run()) worker.run_event.set() await asyncio.sleep(.5) assert worker.paused is False worker.run_event.clear() await task @pytest.mark.asyncio async def test_shutdown(mocker, ws_server, unused_port): mocker.patch( 'connect.eaas.worker.get_environment', return_value={ 'ws_address': f'127.0.0.1:{unused_port}', 'api_address': f'127.0.0.1:{unused_port}', 'api_key': 'SU-000:XXXX', 'environment_id': 'ENV-000-0001', 'instance_id': 'INS-000-0002', }, ) capabilities = { TaskType.ASSET_PURCHASE_REQUEST_PROCESSING: ['pending', 'inquiring'], TaskType.ASSET_PURCHASE_REQUEST_VALIDATION: ['draft'], } class MyExtension(Extension): @classmethod def get_descriptor(cls): return { 'capabilities': capabilities, 'readme_url': 'https://example.com/README.md', 'changelog_url': 'https://example.com/CHANGELOG.md', } mocker.patch('connect.eaas.worker.get_extension_class', return_value=MyExtension) mocker.patch('connect.eaas.worker.get_extension_type', return_value='sync') data_to_send = [ Message(MessageType.CONFIGURATION, ConfigurationPayload( {'var': 'val'}, 'api_key', )).to_json(), Message(MessageType.SHUTDOWN).to_json(), ] handler = WSHandler( '/public/v1/devops/ws/ENV-000-0001/INS-000-0002', data_to_send, ['receive', 'send', 'send'], ) async with ws_server(handler): worker = Worker(secure=False) asyncio.create_task(worker.run()) worker.run_event.set() await asyncio.sleep(.5) assert worker.run_event.is_set() is False @pytest.mark.asyncio async def test_connection_closed_error(mocker, ws_server, unused_port, caplog): mocker.patch('connect.eaas.worker.get_extension_class') mocker.patch('connect.eaas.worker.get_extension_type') mocker.patch( 'connect.eaas.worker.get_environment', return_value={ 'ws_address': f'127.0.0.1:{unused_port}', 'api_address': f'127.0.0.1:{unused_port}', 'api_key': 'SU-000:XXXX', 'environment_id': 'ENV-000-0001', 'instance_id': 'INS-000-0002', }, ) handler = WSHandler( '/public/v1/devops/ws/ENV-000-0001/INS-000-0002', None, [], ) async with ws_server(handler): worker = Worker(secure=False) worker.send = mocker.AsyncMock(side_effect=ConnectionClosedError(1006, 'disconnected')) with caplog.at_level(logging.INFO): task = asyncio.create_task(worker.run()) worker.run_event.set() await asyncio.sleep(.1) worker.run_event.clear() await task assert ( f'Disconnected from: ws://127.0.0.1:{unused_port}' '/public/v1/devops/ws/ENV-000-0001/INS-000-0002, retry in 1s' ) in caplog.text @pytest.mark.asyncio async def test_connection_websocket_exception(mocker, ws_server, unused_port, caplog): mocker.patch('connect.eaas.worker.get_extension_class') mocker.patch('connect.eaas.worker.get_extension_type') mocker.patch( 'connect.eaas.worker.get_environment', return_value={ 'ws_address': f'127.0.0.1:{unused_port}', 'api_address': f'127.0.0.1:{unused_port}', 'api_key': 'SU-000:XXXX', 'environment_id': 'ENV-000-0001', 'instance_id': 'INS-000-0002', }, ) handler = WSHandler( '/public/v1/devops/ws/ENV-000-0001/INS-000-0002', None, [], ) async with ws_server(handler): worker = Worker(secure=False) worker.send = mocker.AsyncMock(side_effect=WebSocketException()) with caplog.at_level(logging.INFO): task = asyncio.create_task(worker.run()) worker.run_event.set() await asyncio.sleep(.1) worker.run_event.clear() await task assert 'Unexpected websocket exception' in caplog.text @pytest.mark.asyncio async def test_start_stop(mocker, ws_server, unused_port, caplog): mocker.patch( 'connect.eaas.worker.get_environment', return_value={ 'ws_address': f'127.0.0.1:{unused_port}', 'api_address': f'127.0.0.1:{unused_port}', 'api_key': 'SU-000:XXXX', 'environment_id': 'ENV-000-0001', 'instance_id': 'INS-000-0002', }, ) capabilities = { TaskType.ASSET_PURCHASE_REQUEST_PROCESSING: ['pending', 'inquiring'], TaskType.ASSET_PURCHASE_REQUEST_VALIDATION: ['draft'], } class MyExtension(Extension): @classmethod def get_descriptor(cls): return { 'capabilities': capabilities, 'readme_url': 'https://example.com/README.md', 'changelog_url': 'https://example.com/CHANGELOG.md', } mocker.patch('connect.eaas.worker.get_extension_class', return_value=MyExtension) mocker.patch('connect.eaas.worker.get_extension_type', return_value='sync') handler = WSHandler( '/public/v1/devops/ws/ENV-000-0001/INS-000-0002', None, ['receive', 'send'], ) async with ws_server(handler): worker = Worker(secure=False) with caplog.at_level(logging.INFO): await worker.start() await asyncio.sleep(.1) assert 'Control worker started' in caplog.text worker.stop() assert 'Control worker stopped' in caplog.text

31.077206

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0.08748

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0

0.017279

0.015119

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null

0

1

0

1

0

null

0

7

df60b95a7baeb5b1681275e5d60fc4d441afe7bb

194,755

py

Python

python_claml/claml.py

thehyve/python_claml

60126f8cea2ec9aaf0e8292a584ac3316514e241

[ "MIT" ]

7

2019-05-14T07:57:53.000Z

2021-06-07T08:00:04.000Z

python_claml/claml.py

thehyve/python_claml

60126f8cea2ec9aaf0e8292a584ac3316514e241

[ "MIT" ]

1

2021-02-21T13:10:41.000Z

python_claml/claml.py

thehyve/python_claml

60126f8cea2ec9aaf0e8292a584ac3316514e241

[ "MIT" ]

null

# ./claml.py # -*- coding: utf-8 -*- # PyXB bindings for NM:e92452c8d3e28a9e27abfc9994d2007779e7f4c9 # Generated 2019-04-05 19:48:40.632175 by PyXB version 1.2.6 using Python 3.6.7.final.0 # Namespace AbsentNamespace0 from __future__ import unicode_literals import pyxb import pyxb.binding import pyxb.binding.saxer import io import pyxb.utils.utility import pyxb.utils.domutils import sys import pyxb.utils.six as _six # Unique identifier for bindings created at the same time _GenerationUID = pyxb.utils.utility.UniqueIdentifier('urn:uuid:0c295e4a-57cb-11e9-80c6-e86a649bf8c8') # Version of PyXB used to generate the bindings _PyXBVersion = '1.2.6' # Generated bindings are not compatible across PyXB versions if pyxb.__version__ != _PyXBVersion: raise pyxb.PyXBVersionError(_PyXBVersion) # A holder for module-level binding classes so we can access them from # inside class definitions where property names may conflict. _module_typeBindings = pyxb.utils.utility.Object() # Import bindings for namespaces imported into schema import pyxb.binding.datatypes import pyxb.binding.xml_ # NOTE: All namespace declarations are reserved within the binding Namespace = pyxb.namespace.CreateAbsentNamespace() Namespace.configureCategories(['typeBinding', 'elementBinding']) def CreateFromDocument (xml_text, default_namespace=None, location_base=None): """Parse the given XML and use the document element to create a Python instance. @param xml_text An XML document. This should be data (Python 2 str or Python 3 bytes), or a text (Python 2 unicode or Python 3 str) in the L{pyxb._InputEncoding} encoding. @keyword default_namespace The L{pyxb.Namespace} instance to use as the default namespace where there is no default namespace in scope. If unspecified or C{None}, the namespace of the module containing this function will be used. @keyword location_base: An object to be recorded as the base of all L{pyxb.utils.utility.Location} instances associated with events and objects handled by the parser. You might pass the URI from which the document was obtained. """ if pyxb.XMLStyle_saxer != pyxb._XMLStyle: dom = pyxb.utils.domutils.StringToDOM(xml_text) return CreateFromDOM(dom.documentElement, default_namespace=default_namespace) if default_namespace is None: default_namespace = Namespace.fallbackNamespace() saxer = pyxb.binding.saxer.make_parser(fallback_namespace=default_namespace, location_base=location_base) handler = saxer.getContentHandler() xmld = xml_text if isinstance(xmld, _six.text_type): xmld = xmld.encode(pyxb._InputEncoding) saxer.parse(io.BytesIO(xmld)) instance = handler.rootObject() return instance def CreateFromDOM (node, default_namespace=None): """Create a Python instance from the given DOM node. The node tag must correspond to an element declaration in this module. @deprecated: Forcing use of DOM interface is unnecessary; use L{CreateFromDocument}.""" if default_namespace is None: default_namespace = Namespace.fallbackNamespace() return pyxb.binding.basis.element.AnyCreateFromDOM(node, default_namespace) # Atomic simple type: [anonymous] class STD_ANON (pyxb.binding.datatypes.token, pyxb.binding.basis.enumeration_mixin): """An atomic simple type.""" _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 121, 16) _Documentation = None STD_ANON._CF_enumeration = pyxb.binding.facets.CF_enumeration(value_datatype=STD_ANON, enum_prefix=None) STD_ANON.true = STD_ANON._CF_enumeration.addEnumeration(unicode_value='true', tag='true') STD_ANON.false = STD_ANON._CF_enumeration.addEnumeration(unicode_value='false', tag='false') STD_ANON._InitializeFacetMap(STD_ANON._CF_enumeration) _module_typeBindings.STD_ANON = STD_ANON # Atomic simple type: [anonymous] class STD_ANON_ (pyxb.binding.datatypes.token, pyxb.binding.basis.enumeration_mixin): """An atomic simple type.""" _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 194, 16) _Documentation = None STD_ANON_._CF_enumeration = pyxb.binding.facets.CF_enumeration(value_datatype=STD_ANON_, enum_prefix=None) STD_ANON_.true = STD_ANON_._CF_enumeration.addEnumeration(unicode_value='true', tag='true') STD_ANON_.false = STD_ANON_._CF_enumeration.addEnumeration(unicode_value='false', tag='false') STD_ANON_._InitializeFacetMap(STD_ANON_._CF_enumeration) _module_typeBindings.STD_ANON_ = STD_ANON_ # Atomic simple type: [anonymous] class STD_ANON_2 (pyxb.binding.datatypes.token, pyxb.binding.basis.enumeration_mixin): """An atomic simple type.""" _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 276, 16) _Documentation = None STD_ANON_2._CF_enumeration = pyxb.binding.facets.CF_enumeration(value_datatype=STD_ANON_2, enum_prefix=None) STD_ANON_2.item = STD_ANON_2._CF_enumeration.addEnumeration(unicode_value='item', tag='item') STD_ANON_2.list = STD_ANON_2._CF_enumeration.addEnumeration(unicode_value='list', tag='list') STD_ANON_2._InitializeFacetMap(STD_ANON_2._CF_enumeration) _module_typeBindings.STD_ANON_2 = STD_ANON_2 # Complex type [anonymous] with content type ELEMENT_ONLY class CTD_ANON (pyxb.binding.basis.complexTypeDefinition): """Complex type [anonymous] with content type ELEMENT_ONLY""" _TypeDefinition = None _ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY _Abstract = False _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 24, 8) _ElementMap = {} _AttributeMap = {} # Base type is pyxb.binding.datatypes.anyType # Element Variants uses Python identifier Variants __Variants = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Variants'), 'Variants', '__AbsentNamespace0_CTD_ANON_Variants', False, pyxb.utils.utility.Location('ClaML.xsd', 41, 4), ) Variants = property(__Variants.value, __Variants.set, None, None) # Element Meta uses Python identifier Meta __Meta = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Meta'), 'Meta', '__AbsentNamespace0_CTD_ANON_Meta', True, pyxb.utils.utility.Location('ClaML.xsd', 53, 4), ) Meta = property(__Meta.value, __Meta.set, None, None) # Element Identifier uses Python identifier Identifier __Identifier = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Identifier'), 'Identifier', '__AbsentNamespace0_CTD_ANON_Identifier', True, pyxb.utils.utility.Location('ClaML.xsd', 60, 4), ) Identifier = property(__Identifier.value, __Identifier.set, None, None) # Element Title uses Python identifier Title __Title = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Title'), 'Title', '__AbsentNamespace0_CTD_ANON_Title', False, pyxb.utils.utility.Location('ClaML.xsd', 66, 4), ) Title = property(__Title.value, __Title.set, None, None) # Element Authors uses Python identifier Authors __Authors = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Authors'), 'Authors', '__AbsentNamespace0_CTD_ANON_Authors', False, pyxb.utils.utility.Location('ClaML.xsd', 73, 4), ) Authors = property(__Authors.value, __Authors.set, None, None) # Element ClassKinds uses Python identifier ClassKinds __ClassKinds = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'ClassKinds'), 'ClassKinds', '__AbsentNamespace0_CTD_ANON_ClassKinds', False, pyxb.utils.utility.Location('ClaML.xsd', 85, 4), ) ClassKinds = property(__ClassKinds.value, __ClassKinds.set, None, None) # Element RubricKinds uses Python identifier RubricKinds __RubricKinds = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'RubricKinds'), 'RubricKinds', '__AbsentNamespace0_CTD_ANON_RubricKinds', False, pyxb.utils.utility.Location('ClaML.xsd', 92, 4), ) RubricKinds = property(__RubricKinds.value, __RubricKinds.set, None, None) # Element UsageKinds uses Python identifier UsageKinds __UsageKinds = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'UsageKinds'), 'UsageKinds', '__AbsentNamespace0_CTD_ANON_UsageKinds', False, pyxb.utils.utility.Location('ClaML.xsd', 99, 4), ) UsageKinds = property(__UsageKinds.value, __UsageKinds.set, None, None) # Element Modifier uses Python identifier Modifier __Modifier = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Modifier'), 'Modifier', '__AbsentNamespace0_CTD_ANON_Modifier', True, pyxb.utils.utility.Location('ClaML.xsd', 142, 4), ) Modifier = property(__Modifier.value, __Modifier.set, None, None) # Element ModifierClass uses Python identifier ModifierClass __ModifierClass = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'ModifierClass'), 'ModifierClass', '__AbsentNamespace0_CTD_ANON_ModifierClass', True, pyxb.utils.utility.Location('ClaML.xsd', 154, 4), ) ModifierClass = property(__ModifierClass.value, __ModifierClass.set, None, None) # Element Class uses Python identifier Class __Class = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Class'), 'Class', '__AbsentNamespace0_CTD_ANON_Class', True, pyxb.utils.utility.Location('ClaML.xsd', 169, 4), ) Class = property(__Class.value, __Class.set, None, None) # Attribute version uses Python identifier version __version = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'version'), 'version', '__AbsentNamespace0_CTD_ANON_version', pyxb.binding.datatypes.anySimpleType, required=True) __version._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 38, 12) __version._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 38, 12) version = property(__version.value, __version.set, None, None) _ElementMap.update({ __Variants.name() : __Variants, __Meta.name() : __Meta, __Identifier.name() : __Identifier, __Title.name() : __Title, __Authors.name() : __Authors, __ClassKinds.name() : __ClassKinds, __RubricKinds.name() : __RubricKinds, __UsageKinds.name() : __UsageKinds, __Modifier.name() : __Modifier, __ModifierClass.name() : __ModifierClass, __Class.name() : __Class }) _AttributeMap.update({ __version.name() : __version }) _module_typeBindings.CTD_ANON = CTD_ANON # Complex type [anonymous] with content type ELEMENT_ONLY class CTD_ANON_ (pyxb.binding.basis.complexTypeDefinition): """Complex type [anonymous] with content type ELEMENT_ONLY""" _TypeDefinition = None _ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY _Abstract = False _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 42, 8) _ElementMap = {} _AttributeMap = {} # Base type is pyxb.binding.datatypes.anyType # Element Variant uses Python identifier Variant __Variant = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Variant'), 'Variant', '__AbsentNamespace0_CTD_ANON__Variant', True, pyxb.utils.utility.Location('ClaML.xsd', 48, 4), ) Variant = property(__Variant.value, __Variant.set, None, None) _ElementMap.update({ __Variant.name() : __Variant }) _AttributeMap.update({ }) _module_typeBindings.CTD_ANON_ = CTD_ANON_ # Complex type [anonymous] with content type MIXED class CTD_ANON_2 (pyxb.binding.basis.complexTypeDefinition): """Complex type [anonymous] with content type MIXED""" _TypeDefinition = None _ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_MIXED _Abstract = False _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 49, 8) _ElementMap = {} _AttributeMap = {} # Base type is pyxb.binding.datatypes.anyType # Attribute name uses Python identifier name __name = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'name'), 'name', '__AbsentNamespace0_CTD_ANON_2_name', pyxb.binding.datatypes.ID, required=True) __name._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 50, 12) __name._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 50, 12) name = property(__name.value, __name.set, None, None) _ElementMap.update({ }) _AttributeMap.update({ __name.name() : __name }) _module_typeBindings.CTD_ANON_2 = CTD_ANON_2 # Complex type [anonymous] with content type EMPTY class CTD_ANON_3 (pyxb.binding.basis.complexTypeDefinition): """Complex type [anonymous] with content type EMPTY""" _TypeDefinition = None _ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_EMPTY _Abstract = False _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 54, 8) _ElementMap = {} _AttributeMap = {} # Base type is pyxb.binding.datatypes.anyType # Attribute name uses Python identifier name __name = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'name'), 'name', '__AbsentNamespace0_CTD_ANON_3_name', pyxb.binding.datatypes.anySimpleType, required=True) __name._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 55, 12) __name._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 55, 12) name = property(__name.value, __name.set, None, None) # Attribute value uses Python identifier value_ __value = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'value'), 'value_', '__AbsentNamespace0_CTD_ANON_3_value', pyxb.binding.datatypes.anySimpleType, required=True) __value._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 56, 12) __value._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 56, 12) value_ = property(__value.value, __value.set, None, None) # Attribute variants uses Python identifier variants __variants = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'variants'), 'variants', '__AbsentNamespace0_CTD_ANON_3_variants', pyxb.binding.datatypes.IDREFS) __variants._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 57, 12) __variants._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 57, 12) variants = property(__variants.value, __variants.set, None, None) _ElementMap.update({ }) _AttributeMap.update({ __name.name() : __name, __value.name() : __value, __variants.name() : __variants }) _module_typeBindings.CTD_ANON_3 = CTD_ANON_3 # Complex type [anonymous] with content type EMPTY class CTD_ANON_4 (pyxb.binding.basis.complexTypeDefinition): """Complex type [anonymous] with content type EMPTY""" _TypeDefinition = None _ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_EMPTY _Abstract = False _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 61, 8) _ElementMap = {} _AttributeMap = {} # Base type is pyxb.binding.datatypes.anyType # Attribute authority uses Python identifier authority __authority = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'authority'), 'authority', '__AbsentNamespace0_CTD_ANON_4_authority', pyxb.binding.datatypes.NMTOKEN) __authority._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 62, 12) __authority._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 62, 12) authority = property(__authority.value, __authority.set, None, None) # Attribute uid uses Python identifier uid __uid = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'uid'), 'uid', '__AbsentNamespace0_CTD_ANON_4_uid', pyxb.binding.datatypes.anySimpleType, required=True) __uid._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 63, 12) __uid._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 63, 12) uid = property(__uid.value, __uid.set, None, None) _ElementMap.update({ }) _AttributeMap.update({ __authority.name() : __authority, __uid.name() : __uid }) _module_typeBindings.CTD_ANON_4 = CTD_ANON_4 # Complex type [anonymous] with content type MIXED class CTD_ANON_5 (pyxb.binding.basis.complexTypeDefinition): """Complex type [anonymous] with content type MIXED""" _TypeDefinition = None _ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_MIXED _Abstract = False _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 67, 8) _ElementMap = {} _AttributeMap = {} # Base type is pyxb.binding.datatypes.anyType # Attribute name uses Python identifier name __name = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'name'), 'name', '__AbsentNamespace0_CTD_ANON_5_name', pyxb.binding.datatypes.NMTOKEN, required=True) __name._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 68, 12) __name._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 68, 12) name = property(__name.value, __name.set, None, None) # Attribute version uses Python identifier version __version = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'version'), 'version', '__AbsentNamespace0_CTD_ANON_5_version', pyxb.binding.datatypes.anySimpleType) __version._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 69, 12) __version._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 69, 12) version = property(__version.value, __version.set, None, None) # Attribute date uses Python identifier date __date = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'date'), 'date', '__AbsentNamespace0_CTD_ANON_5_date', pyxb.binding.datatypes.anySimpleType) __date._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 70, 12) __date._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 70, 12) date = property(__date.value, __date.set, None, None) _ElementMap.update({ }) _AttributeMap.update({ __name.name() : __name, __version.name() : __version, __date.name() : __date }) _module_typeBindings.CTD_ANON_5 = CTD_ANON_5 # Complex type [anonymous] with content type ELEMENT_ONLY class CTD_ANON_6 (pyxb.binding.basis.complexTypeDefinition): """Complex type [anonymous] with content type ELEMENT_ONLY""" _TypeDefinition = None _ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY _Abstract = False _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 74, 8) _ElementMap = {} _AttributeMap = {} # Base type is pyxb.binding.datatypes.anyType # Element Author uses Python identifier Author __Author = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Author'), 'Author', '__AbsentNamespace0_CTD_ANON_6_Author', True, pyxb.utils.utility.Location('ClaML.xsd', 80, 4), ) Author = property(__Author.value, __Author.set, None, None) _ElementMap.update({ __Author.name() : __Author }) _AttributeMap.update({ }) _module_typeBindings.CTD_ANON_6 = CTD_ANON_6 # Complex type [anonymous] with content type MIXED class CTD_ANON_7 (pyxb.binding.basis.complexTypeDefinition): """Complex type [anonymous] with content type MIXED""" _TypeDefinition = None _ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_MIXED _Abstract = False _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 81, 8) _ElementMap = {} _AttributeMap = {} # Base type is pyxb.binding.datatypes.anyType # Attribute name uses Python identifier name __name = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'name'), 'name', '__AbsentNamespace0_CTD_ANON_7_name', pyxb.binding.datatypes.ID, required=True) __name._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 82, 12) __name._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 82, 12) name = property(__name.value, __name.set, None, None) _ElementMap.update({ }) _AttributeMap.update({ __name.name() : __name }) _module_typeBindings.CTD_ANON_7 = CTD_ANON_7 # Complex type [anonymous] with content type ELEMENT_ONLY class CTD_ANON_8 (pyxb.binding.basis.complexTypeDefinition): """Complex type [anonymous] with content type ELEMENT_ONLY""" _TypeDefinition = None _ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY _Abstract = False _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 86, 8) _ElementMap = {} _AttributeMap = {} # Base type is pyxb.binding.datatypes.anyType # Element ClassKind uses Python identifier ClassKind __ClassKind = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'ClassKind'), 'ClassKind', '__AbsentNamespace0_CTD_ANON_8_ClassKind', True, pyxb.utils.utility.Location('ClaML.xsd', 106, 4), ) ClassKind = property(__ClassKind.value, __ClassKind.set, None, None) _ElementMap.update({ __ClassKind.name() : __ClassKind }) _AttributeMap.update({ }) _module_typeBindings.CTD_ANON_8 = CTD_ANON_8 # Complex type [anonymous] with content type ELEMENT_ONLY class CTD_ANON_9 (pyxb.binding.basis.complexTypeDefinition): """Complex type [anonymous] with content type ELEMENT_ONLY""" _TypeDefinition = None _ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY _Abstract = False _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 93, 8) _ElementMap = {} _AttributeMap = {} # Base type is pyxb.binding.datatypes.anyType # Element RubricKind uses Python identifier RubricKind __RubricKind = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'RubricKind'), 'RubricKind', '__AbsentNamespace0_CTD_ANON_9_RubricKind', True, pyxb.utils.utility.Location('ClaML.xsd', 114, 4), ) RubricKind = property(__RubricKind.value, __RubricKind.set, None, None) _ElementMap.update({ __RubricKind.name() : __RubricKind }) _AttributeMap.update({ }) _module_typeBindings.CTD_ANON_9 = CTD_ANON_9 # Complex type [anonymous] with content type ELEMENT_ONLY class CTD_ANON_10 (pyxb.binding.basis.complexTypeDefinition): """Complex type [anonymous] with content type ELEMENT_ONLY""" _TypeDefinition = None _ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY _Abstract = False _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 100, 8) _ElementMap = {} _AttributeMap = {} # Base type is pyxb.binding.datatypes.anyType # Element UsageKind uses Python identifier UsageKind __UsageKind = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'UsageKind'), 'UsageKind', '__AbsentNamespace0_CTD_ANON_10_UsageKind', True, pyxb.utils.utility.Location('ClaML.xsd', 130, 4), ) UsageKind = property(__UsageKind.value, __UsageKind.set, None, None) _ElementMap.update({ __UsageKind.name() : __UsageKind }) _AttributeMap.update({ }) _module_typeBindings.CTD_ANON_10 = CTD_ANON_10 # Complex type [anonymous] with content type ELEMENT_ONLY class CTD_ANON_11 (pyxb.binding.basis.complexTypeDefinition): """Complex type [anonymous] with content type ELEMENT_ONLY""" _TypeDefinition = None _ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY _Abstract = False _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 107, 8) _ElementMap = {} _AttributeMap = {} # Base type is pyxb.binding.datatypes.anyType # Element Display uses Python identifier Display __Display = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Display'), 'Display', '__AbsentNamespace0_CTD_ANON_11_Display', True, pyxb.utils.utility.Location('ClaML.xsd', 136, 4), ) Display = property(__Display.value, __Display.set, None, None) # Attribute name uses Python identifier name __name = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'name'), 'name', '__AbsentNamespace0_CTD_ANON_11_name', pyxb.binding.datatypes.ID, required=True) __name._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 111, 12) __name._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 111, 12) name = property(__name.value, __name.set, None, None) _ElementMap.update({ __Display.name() : __Display }) _AttributeMap.update({ __name.name() : __name }) _module_typeBindings.CTD_ANON_11 = CTD_ANON_11 # Complex type [anonymous] with content type EMPTY class CTD_ANON_12 (pyxb.binding.basis.complexTypeDefinition): """Complex type [anonymous] with content type EMPTY""" _TypeDefinition = None _ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_EMPTY _Abstract = False _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 131, 8) _ElementMap = {} _AttributeMap = {} # Base type is pyxb.binding.datatypes.anyType # Attribute name uses Python identifier name __name = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'name'), 'name', '__AbsentNamespace0_CTD_ANON_12_name', pyxb.binding.datatypes.ID, required=True) __name._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 132, 12) __name._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 132, 12) name = property(__name.value, __name.set, None, None) # Attribute mark uses Python identifier mark __mark = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'mark'), 'mark', '__AbsentNamespace0_CTD_ANON_12_mark', pyxb.binding.datatypes.anySimpleType, required=True) __mark._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 133, 12) __mark._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 133, 12) mark = property(__mark.value, __mark.set, None, None) _ElementMap.update({ }) _AttributeMap.update({ __name.name() : __name, __mark.name() : __mark }) _module_typeBindings.CTD_ANON_12 = CTD_ANON_12 # Complex type [anonymous] with content type MIXED class CTD_ANON_13 (pyxb.binding.basis.complexTypeDefinition): """Complex type [anonymous] with content type MIXED""" _TypeDefinition = None _ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_MIXED _Abstract = False _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 137, 8) _ElementMap = {} _AttributeMap = {} # Base type is pyxb.binding.datatypes.anyType # Attribute {http://www.w3.org/XML/1998/namespace}lang uses Python identifier lang __lang = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(pyxb.namespace.XML, 'lang'), 'lang', '__AbsentNamespace0_CTD_ANON_13_httpwww_w3_orgXML1998namespacelang', pyxb.binding.xml_.STD_ANON_lang, required=True) __lang._DeclarationLocation = None __lang._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 138, 12) lang = property(__lang.value, __lang.set, None, None) # Attribute variants uses Python identifier variants __variants = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'variants'), 'variants', '__AbsentNamespace0_CTD_ANON_13_variants', pyxb.binding.datatypes.IDREF) __variants._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 139, 12) __variants._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 139, 12) variants = property(__variants.value, __variants.set, None, None) _ElementMap.update({ }) _AttributeMap.update({ __lang.name() : __lang, __variants.name() : __variants }) _module_typeBindings.CTD_ANON_13 = CTD_ANON_13 # Complex type [anonymous] with content type ELEMENT_ONLY class CTD_ANON_14 (pyxb.binding.basis.complexTypeDefinition): """Complex type [anonymous] with content type ELEMENT_ONLY""" _TypeDefinition = None _ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY _Abstract = False _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 143, 8) _ElementMap = {} _AttributeMap = {} # Base type is pyxb.binding.datatypes.anyType # Element Meta uses Python identifier Meta __Meta = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Meta'), 'Meta', '__AbsentNamespace0_CTD_ANON_14_Meta', True, pyxb.utils.utility.Location('ClaML.xsd', 53, 4), ) Meta = property(__Meta.value, __Meta.set, None, None) # Element Rubric uses Python identifier Rubric __Rubric = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Rubric'), 'Rubric', '__AbsentNamespace0_CTD_ANON_14_Rubric', True, pyxb.utils.utility.Location('ClaML.xsd', 217, 4), ) Rubric = property(__Rubric.value, __Rubric.set, None, None) # Element History uses Python identifier History __History = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'History'), 'History', '__AbsentNamespace0_CTD_ANON_14_History', True, pyxb.utils.utility.Location('ClaML.xsd', 236, 4), ) History = property(__History.value, __History.set, None, None) # Element SubClass uses Python identifier SubClass __SubClass = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'SubClass'), 'SubClass', '__AbsentNamespace0_CTD_ANON_14_SubClass', True, pyxb.utils.utility.Location('ClaML.xsd', 248, 4), ) SubClass = property(__SubClass.value, __SubClass.set, None, None) # Attribute code uses Python identifier code __code = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'code'), 'code', '__AbsentNamespace0_CTD_ANON_14_code', pyxb.binding.datatypes.NMTOKEN, required=True) __code._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 150, 12) __code._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 150, 12) code = property(__code.value, __code.set, None, None) # Attribute variants uses Python identifier variants __variants = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'variants'), 'variants', '__AbsentNamespace0_CTD_ANON_14_variants', pyxb.binding.datatypes.IDREFS) __variants._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 151, 12) __variants._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 151, 12) variants = property(__variants.value, __variants.set, None, None) _ElementMap.update({ __Meta.name() : __Meta, __Rubric.name() : __Rubric, __History.name() : __History, __SubClass.name() : __SubClass }) _AttributeMap.update({ __code.name() : __code, __variants.name() : __variants }) _module_typeBindings.CTD_ANON_14 = CTD_ANON_14 # Complex type [anonymous] with content type ELEMENT_ONLY class CTD_ANON_15 (pyxb.binding.basis.complexTypeDefinition): """Complex type [anonymous] with content type ELEMENT_ONLY""" _TypeDefinition = None _ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY _Abstract = False _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 155, 8) _ElementMap = {} _AttributeMap = {} # Base type is pyxb.binding.datatypes.anyType # Element Meta uses Python identifier Meta __Meta = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Meta'), 'Meta', '__AbsentNamespace0_CTD_ANON_15_Meta', True, pyxb.utils.utility.Location('ClaML.xsd', 53, 4), ) Meta = property(__Meta.value, __Meta.set, None, None) # Element Rubric uses Python identifier Rubric __Rubric = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Rubric'), 'Rubric', '__AbsentNamespace0_CTD_ANON_15_Rubric', True, pyxb.utils.utility.Location('ClaML.xsd', 217, 4), ) Rubric = property(__Rubric.value, __Rubric.set, None, None) # Element History uses Python identifier History __History = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'History'), 'History', '__AbsentNamespace0_CTD_ANON_15_History', True, pyxb.utils.utility.Location('ClaML.xsd', 236, 4), ) History = property(__History.value, __History.set, None, None) # Element SuperClass uses Python identifier SuperClass __SuperClass = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'SuperClass'), 'SuperClass', '__AbsentNamespace0_CTD_ANON_15_SuperClass', False, pyxb.utils.utility.Location('ClaML.xsd', 242, 4), ) SuperClass = property(__SuperClass.value, __SuperClass.set, None, None) # Element SubClass uses Python identifier SubClass __SubClass = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'SubClass'), 'SubClass', '__AbsentNamespace0_CTD_ANON_15_SubClass', True, pyxb.utils.utility.Location('ClaML.xsd', 248, 4), ) SubClass = property(__SubClass.value, __SubClass.set, None, None) # Attribute modifier uses Python identifier modifier __modifier = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'modifier'), 'modifier', '__AbsentNamespace0_CTD_ANON_15_modifier', pyxb.binding.datatypes.NMTOKEN, required=True) __modifier._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 163, 12) __modifier._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 163, 12) modifier = property(__modifier.value, __modifier.set, None, None) # Attribute code uses Python identifier code __code = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'code'), 'code', '__AbsentNamespace0_CTD_ANON_15_code', pyxb.binding.datatypes.NMTOKEN, required=True) __code._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 164, 12) __code._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 164, 12) code = property(__code.value, __code.set, None, None) # Attribute usage uses Python identifier usage __usage = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'usage'), 'usage', '__AbsentNamespace0_CTD_ANON_15_usage', pyxb.binding.datatypes.IDREF) __usage._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 165, 12) __usage._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 165, 12) usage = property(__usage.value, __usage.set, None, None) # Attribute variants uses Python identifier variants __variants = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'variants'), 'variants', '__AbsentNamespace0_CTD_ANON_15_variants', pyxb.binding.datatypes.IDREFS) __variants._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 166, 12) __variants._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 166, 12) variants = property(__variants.value, __variants.set, None, None) _ElementMap.update({ __Meta.name() : __Meta, __Rubric.name() : __Rubric, __History.name() : __History, __SuperClass.name() : __SuperClass, __SubClass.name() : __SubClass }) _AttributeMap.update({ __modifier.name() : __modifier, __code.name() : __code, __usage.name() : __usage, __variants.name() : __variants }) _module_typeBindings.CTD_ANON_15 = CTD_ANON_15 # Complex type [anonymous] with content type ELEMENT_ONLY class CTD_ANON_16 (pyxb.binding.basis.complexTypeDefinition): """Complex type [anonymous] with content type ELEMENT_ONLY""" _TypeDefinition = None _ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY _Abstract = False _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 170, 8) _ElementMap = {} _AttributeMap = {} # Base type is pyxb.binding.datatypes.anyType # Element Meta uses Python identifier Meta __Meta = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Meta'), 'Meta', '__AbsentNamespace0_CTD_ANON_16_Meta', True, pyxb.utils.utility.Location('ClaML.xsd', 53, 4), ) Meta = property(__Meta.value, __Meta.set, None, None) # Element ModifiedBy uses Python identifier ModifiedBy __ModifiedBy = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'ModifiedBy'), 'ModifiedBy', '__AbsentNamespace0_CTD_ANON_16_ModifiedBy', True, pyxb.utils.utility.Location('ClaML.xsd', 186, 4), ) ModifiedBy = property(__ModifiedBy.value, __ModifiedBy.set, None, None) # Element ExcludeModifier uses Python identifier ExcludeModifier __ExcludeModifier = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'ExcludeModifier'), 'ExcludeModifier', '__AbsentNamespace0_CTD_ANON_16_ExcludeModifier', True, pyxb.utils.utility.Location('ClaML.xsd', 205, 4), ) ExcludeModifier = property(__ExcludeModifier.value, __ExcludeModifier.set, None, None) # Element Rubric uses Python identifier Rubric __Rubric = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Rubric'), 'Rubric', '__AbsentNamespace0_CTD_ANON_16_Rubric', True, pyxb.utils.utility.Location('ClaML.xsd', 217, 4), ) Rubric = property(__Rubric.value, __Rubric.set, None, None) # Element History uses Python identifier History __History = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'History'), 'History', '__AbsentNamespace0_CTD_ANON_16_History', True, pyxb.utils.utility.Location('ClaML.xsd', 236, 4), ) History = property(__History.value, __History.set, None, None) # Element SuperClass uses Python identifier SuperClass __SuperClass = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'SuperClass'), 'SuperClass', '__AbsentNamespace0_CTD_ANON_16_SuperClass', True, pyxb.utils.utility.Location('ClaML.xsd', 242, 4), ) SuperClass = property(__SuperClass.value, __SuperClass.set, None, None) # Element SubClass uses Python identifier SubClass __SubClass = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'SubClass'), 'SubClass', '__AbsentNamespace0_CTD_ANON_16_SubClass', True, pyxb.utils.utility.Location('ClaML.xsd', 248, 4), ) SubClass = property(__SubClass.value, __SubClass.set, None, None) # Attribute code uses Python identifier code __code = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'code'), 'code', '__AbsentNamespace0_CTD_ANON_16_code', pyxb.binding.datatypes.NMTOKEN, required=True) __code._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 180, 12) __code._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 180, 12) code = property(__code.value, __code.set, None, None) # Attribute kind uses Python identifier kind __kind = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'kind'), 'kind', '__AbsentNamespace0_CTD_ANON_16_kind', pyxb.binding.datatypes.IDREF, required=True) __kind._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 181, 12) __kind._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 181, 12) kind = property(__kind.value, __kind.set, None, None) # Attribute usage uses Python identifier usage __usage = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'usage'), 'usage', '__AbsentNamespace0_CTD_ANON_16_usage', pyxb.binding.datatypes.IDREF) __usage._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 182, 12) __usage._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 182, 12) usage = property(__usage.value, __usage.set, None, None) # Attribute variants uses Python identifier variants __variants = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'variants'), 'variants', '__AbsentNamespace0_CTD_ANON_16_variants', pyxb.binding.datatypes.IDREFS) __variants._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 183, 12) __variants._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 183, 12) variants = property(__variants.value, __variants.set, None, None) _ElementMap.update({ __Meta.name() : __Meta, __ModifiedBy.name() : __ModifiedBy, __ExcludeModifier.name() : __ExcludeModifier, __Rubric.name() : __Rubric, __History.name() : __History, __SuperClass.name() : __SuperClass, __SubClass.name() : __SubClass }) _AttributeMap.update({ __code.name() : __code, __kind.name() : __kind, __usage.name() : __usage, __variants.name() : __variants }) _module_typeBindings.CTD_ANON_16 = CTD_ANON_16 # Complex type [anonymous] with content type EMPTY class CTD_ANON_17 (pyxb.binding.basis.complexTypeDefinition): """Complex type [anonymous] with content type EMPTY""" _TypeDefinition = None _ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_EMPTY _Abstract = False _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 206, 8) _ElementMap = {} _AttributeMap = {} # Base type is pyxb.binding.datatypes.anyType # Attribute code uses Python identifier code __code = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'code'), 'code', '__AbsentNamespace0_CTD_ANON_17_code', pyxb.binding.datatypes.NMTOKEN, required=True) __code._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 207, 12) __code._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 207, 12) code = property(__code.value, __code.set, None, None) # Attribute variants uses Python identifier variants __variants = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'variants'), 'variants', '__AbsentNamespace0_CTD_ANON_17_variants', pyxb.binding.datatypes.IDREFS) __variants._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 208, 12) __variants._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 208, 12) variants = property(__variants.value, __variants.set, None, None) _ElementMap.update({ }) _AttributeMap.update({ __code.name() : __code, __variants.name() : __variants }) _module_typeBindings.CTD_ANON_17 = CTD_ANON_17 # Complex type [anonymous] with content type EMPTY class CTD_ANON_18 (pyxb.binding.basis.complexTypeDefinition): """Complex type [anonymous] with content type EMPTY""" _TypeDefinition = None _ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_EMPTY _Abstract = False _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 212, 8) _ElementMap = {} _AttributeMap = {} # Base type is pyxb.binding.datatypes.anyType # Attribute code uses Python identifier code __code = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'code'), 'code', '__AbsentNamespace0_CTD_ANON_18_code', pyxb.binding.datatypes.NMTOKEN, required=True) __code._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 213, 12) __code._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 213, 12) code = property(__code.value, __code.set, None, None) # Attribute variants uses Python identifier variants __variants = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'variants'), 'variants', '__AbsentNamespace0_CTD_ANON_18_variants', pyxb.binding.datatypes.IDREFS) __variants._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 214, 12) __variants._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 214, 12) variants = property(__variants.value, __variants.set, None, None) _ElementMap.update({ }) _AttributeMap.update({ __code.name() : __code, __variants.name() : __variants }) _module_typeBindings.CTD_ANON_18 = CTD_ANON_18 # Complex type [anonymous] with content type ELEMENT_ONLY class CTD_ANON_19 (pyxb.binding.basis.complexTypeDefinition): """Complex type [anonymous] with content type ELEMENT_ONLY""" _TypeDefinition = None _ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY _Abstract = False _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 218, 8) _ElementMap = {} _AttributeMap = {} # Base type is pyxb.binding.datatypes.anyType # Element Label uses Python identifier Label __Label = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Label'), 'Label', '__AbsentNamespace0_CTD_ANON_19_Label', True, pyxb.utils.utility.Location('ClaML.xsd', 228, 4), ) Label = property(__Label.value, __Label.set, None, None) # Element History uses Python identifier History __History = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'History'), 'History', '__AbsentNamespace0_CTD_ANON_19_History', True, pyxb.utils.utility.Location('ClaML.xsd', 236, 4), ) History = property(__History.value, __History.set, None, None) # Attribute id uses Python identifier id __id = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'id'), 'id', '__AbsentNamespace0_CTD_ANON_19_id', pyxb.binding.datatypes.ID) __id._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 223, 12) __id._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 223, 12) id = property(__id.value, __id.set, None, None) # Attribute kind uses Python identifier kind __kind = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'kind'), 'kind', '__AbsentNamespace0_CTD_ANON_19_kind', pyxb.binding.datatypes.IDREF, required=True) __kind._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 224, 12) __kind._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 224, 12) kind = property(__kind.value, __kind.set, None, None) # Attribute usage uses Python identifier usage __usage = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'usage'), 'usage', '__AbsentNamespace0_CTD_ANON_19_usage', pyxb.binding.datatypes.IDREF) __usage._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 225, 12) __usage._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 225, 12) usage = property(__usage.value, __usage.set, None, None) _ElementMap.update({ __Label.name() : __Label, __History.name() : __History }) _AttributeMap.update({ __id.name() : __id, __kind.name() : __kind, __usage.name() : __usage }) _module_typeBindings.CTD_ANON_19 = CTD_ANON_19 # Complex type [anonymous] with content type MIXED class CTD_ANON_20 (pyxb.binding.basis.complexTypeDefinition): """Complex type [anonymous] with content type MIXED""" _TypeDefinition = None _ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_MIXED _Abstract = False _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 229, 8) _ElementMap = {} _AttributeMap = {} # Base type is pyxb.binding.datatypes.anyType # Element Reference uses Python identifier Reference __Reference = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Reference'), 'Reference', '__AbsentNamespace0_CTD_ANON_20_Reference', True, pyxb.utils.utility.Location('ClaML.xsd', 254, 4), ) Reference = property(__Reference.value, __Reference.set, None, None) # Element Para uses Python identifier Para __Para = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Para'), 'Para', '__AbsentNamespace0_CTD_ANON_20_Para', True, pyxb.utils.utility.Location('ClaML.xsd', 264, 4), ) Para = property(__Para.value, __Para.set, None, None) # Element Fragment uses Python identifier Fragment __Fragment = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Fragment'), 'Fragment', '__AbsentNamespace0_CTD_ANON_20_Fragment', True, pyxb.utils.utility.Location('ClaML.xsd', 270, 4), ) Fragment = property(__Fragment.value, __Fragment.set, None, None) # Element Include uses Python identifier Include __Include = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Include'), 'Include', '__AbsentNamespace0_CTD_ANON_20_Include', True, pyxb.utils.utility.Location('ClaML.xsd', 285, 4), ) Include = property(__Include.value, __Include.set, None, None) # Element IncludeDescendants uses Python identifier IncludeDescendants __IncludeDescendants = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'IncludeDescendants'), 'IncludeDescendants', '__AbsentNamespace0_CTD_ANON_20_IncludeDescendants', True, pyxb.utils.utility.Location('ClaML.xsd', 291, 4), ) IncludeDescendants = property(__IncludeDescendants.value, __IncludeDescendants.set, None, None) # Element List uses Python identifier List __List = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'List'), 'List', '__AbsentNamespace0_CTD_ANON_20_List', True, pyxb.utils.utility.Location('ClaML.xsd', 297, 4), ) List = property(__List.value, __List.set, None, None) # Element Table uses Python identifier Table __Table = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Table'), 'Table', '__AbsentNamespace0_CTD_ANON_20_Table', True, pyxb.utils.utility.Location('ClaML.xsd', 317, 4), ) Table = property(__Table.value, __Table.set, None, None) # Element Term uses Python identifier Term __Term = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Term'), 'Term', '__AbsentNamespace0_CTD_ANON_20_Term', True, pyxb.utils.utility.Location('ClaML.xsd', 380, 4), ) Term = property(__Term.value, __Term.set, None, None) # Attribute {http://www.w3.org/XML/1998/namespace}lang uses Python identifier lang __lang = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(pyxb.namespace.XML, 'lang'), 'lang', '__AbsentNamespace0_CTD_ANON_20_httpwww_w3_orgXML1998namespacelang', pyxb.binding.xml_.STD_ANON_lang, required=True) __lang._DeclarationLocation = None __lang._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 231, 12) lang = property(__lang.value, __lang.set, None, None) # Attribute {http://www.w3.org/XML/1998/namespace}space uses Python identifier space __space = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(pyxb.namespace.XML, 'space'), 'space', '__AbsentNamespace0_CTD_ANON_20_httpwww_w3_orgXML1998namespacespace', pyxb.binding.xml_.STD_ANON_space, unicode_default='default') __space._DeclarationLocation = None __space._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 232, 12) space = property(__space.value, __space.set, None, None) # Attribute variants uses Python identifier variants __variants = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'variants'), 'variants', '__AbsentNamespace0_CTD_ANON_20_variants', pyxb.binding.datatypes.IDREFS) __variants._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 233, 12) __variants._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 233, 12) variants = property(__variants.value, __variants.set, None, None) _ElementMap.update({ __Reference.name() : __Reference, __Para.name() : __Para, __Fragment.name() : __Fragment, __Include.name() : __Include, __IncludeDescendants.name() : __IncludeDescendants, __List.name() : __List, __Table.name() : __Table, __Term.name() : __Term }) _AttributeMap.update({ __lang.name() : __lang, __space.name() : __space, __variants.name() : __variants }) _module_typeBindings.CTD_ANON_20 = CTD_ANON_20 # Complex type [anonymous] with content type MIXED class CTD_ANON_21 (pyxb.binding.basis.complexTypeDefinition): """Complex type [anonymous] with content type MIXED""" _TypeDefinition = None _ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_MIXED _Abstract = False _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 237, 8) _ElementMap = {} _AttributeMap = {} # Base type is pyxb.binding.datatypes.anyType # Attribute author uses Python identifier author __author = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'author'), 'author', '__AbsentNamespace0_CTD_ANON_21_author', pyxb.binding.datatypes.IDREF, required=True) __author._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 238, 12) __author._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 238, 12) author = property(__author.value, __author.set, None, None) # Attribute date uses Python identifier date __date = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'date'), 'date', '__AbsentNamespace0_CTD_ANON_21_date', pyxb.binding.datatypes.NMTOKEN, required=True) __date._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 239, 12) __date._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 239, 12) date = property(__date.value, __date.set, None, None) _ElementMap.update({ }) _AttributeMap.update({ __author.name() : __author, __date.name() : __date }) _module_typeBindings.CTD_ANON_21 = CTD_ANON_21 # Complex type [anonymous] with content type EMPTY class CTD_ANON_22 (pyxb.binding.basis.complexTypeDefinition): """Complex type [anonymous] with content type EMPTY""" _TypeDefinition = None _ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_EMPTY _Abstract = False _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 243, 8) _ElementMap = {} _AttributeMap = {} # Base type is pyxb.binding.datatypes.anyType # Attribute code uses Python identifier code __code = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'code'), 'code', '__AbsentNamespace0_CTD_ANON_22_code', pyxb.binding.datatypes.NMTOKEN, required=True) __code._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 244, 12) __code._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 244, 12) code = property(__code.value, __code.set, None, None) # Attribute variants uses Python identifier variants __variants = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'variants'), 'variants', '__AbsentNamespace0_CTD_ANON_22_variants', pyxb.binding.datatypes.IDREFS) __variants._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 245, 12) __variants._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 245, 12) variants = property(__variants.value, __variants.set, None, None) _ElementMap.update({ }) _AttributeMap.update({ __code.name() : __code, __variants.name() : __variants }) _module_typeBindings.CTD_ANON_22 = CTD_ANON_22 # Complex type [anonymous] with content type EMPTY class CTD_ANON_23 (pyxb.binding.basis.complexTypeDefinition): """Complex type [anonymous] with content type EMPTY""" _TypeDefinition = None _ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_EMPTY _Abstract = False _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 249, 8) _ElementMap = {} _AttributeMap = {} # Base type is pyxb.binding.datatypes.anyType # Attribute code uses Python identifier code __code = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'code'), 'code', '__AbsentNamespace0_CTD_ANON_23_code', pyxb.binding.datatypes.NMTOKEN, required=True) __code._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 250, 12) __code._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 250, 12) code = property(__code.value, __code.set, None, None) # Attribute variants uses Python identifier variants __variants = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'variants'), 'variants', '__AbsentNamespace0_CTD_ANON_23_variants', pyxb.binding.datatypes.IDREFS) __variants._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 251, 12) __variants._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 251, 12) variants = property(__variants.value, __variants.set, None, None) _ElementMap.update({ }) _AttributeMap.update({ __code.name() : __code, __variants.name() : __variants }) _module_typeBindings.CTD_ANON_23 = CTD_ANON_23 # Complex type [anonymous] with content type MIXED class CTD_ANON_24 (pyxb.binding.basis.complexTypeDefinition): """Complex type [anonymous] with content type MIXED""" _TypeDefinition = None _ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_MIXED _Abstract = False _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 255, 8) _ElementMap = {} _AttributeMap = {} # Base type is pyxb.binding.datatypes.anyType # Attribute class uses Python identifier class_ __class = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'class'), 'class_', '__AbsentNamespace0_CTD_ANON_24_class', pyxb.binding.datatypes.anySimpleType) __class._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 256, 12) __class._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 256, 12) class_ = property(__class.value, __class.set, None, None) # Attribute authority uses Python identifier authority __authority = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'authority'), 'authority', '__AbsentNamespace0_CTD_ANON_24_authority', pyxb.binding.datatypes.NMTOKEN) __authority._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 257, 12) __authority._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 257, 12) authority = property(__authority.value, __authority.set, None, None) # Attribute uid uses Python identifier uid __uid = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'uid'), 'uid', '__AbsentNamespace0_CTD_ANON_24_uid', pyxb.binding.datatypes.NMTOKEN) __uid._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 258, 12) __uid._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 258, 12) uid = property(__uid.value, __uid.set, None, None) # Attribute code uses Python identifier code __code = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'code'), 'code', '__AbsentNamespace0_CTD_ANON_24_code', pyxb.binding.datatypes.NMTOKEN) __code._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 259, 12) __code._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 259, 12) code = property(__code.value, __code.set, None, None) # Attribute usage uses Python identifier usage __usage = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'usage'), 'usage', '__AbsentNamespace0_CTD_ANON_24_usage', pyxb.binding.datatypes.IDREF) __usage._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 260, 12) __usage._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 260, 12) usage = property(__usage.value, __usage.set, None, None) # Attribute variants uses Python identifier variants __variants = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'variants'), 'variants', '__AbsentNamespace0_CTD_ANON_24_variants', pyxb.binding.datatypes.IDREFS) __variants._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 261, 12) __variants._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 261, 12) variants = property(__variants.value, __variants.set, None, None) _ElementMap.update({ }) _AttributeMap.update({ __class.name() : __class, __authority.name() : __authority, __uid.name() : __uid, __code.name() : __code, __usage.name() : __usage, __variants.name() : __variants }) _module_typeBindings.CTD_ANON_24 = CTD_ANON_24 # Complex type [anonymous] with content type MIXED class CTD_ANON_25 (pyxb.binding.basis.complexTypeDefinition): """Complex type [anonymous] with content type MIXED""" _TypeDefinition = None _ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_MIXED _Abstract = False _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 265, 8) _ElementMap = {} _AttributeMap = {} # Base type is pyxb.binding.datatypes.anyType # Element Reference uses Python identifier Reference __Reference = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Reference'), 'Reference', '__AbsentNamespace0_CTD_ANON_25_Reference', True, pyxb.utils.utility.Location('ClaML.xsd', 254, 4), ) Reference = property(__Reference.value, __Reference.set, None, None) # Element Term uses Python identifier Term __Term = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Term'), 'Term', '__AbsentNamespace0_CTD_ANON_25_Term', True, pyxb.utils.utility.Location('ClaML.xsd', 380, 4), ) Term = property(__Term.value, __Term.set, None, None) # Attribute class uses Python identifier class_ __class = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'class'), 'class_', '__AbsentNamespace0_CTD_ANON_25_class', pyxb.binding.datatypes.anySimpleType) __class._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 267, 12) __class._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 267, 12) class_ = property(__class.value, __class.set, None, None) _ElementMap.update({ __Reference.name() : __Reference, __Term.name() : __Term }) _AttributeMap.update({ __class.name() : __class }) _module_typeBindings.CTD_ANON_25 = CTD_ANON_25 # Complex type [anonymous] with content type EMPTY class CTD_ANON_26 (pyxb.binding.basis.complexTypeDefinition): """Complex type [anonymous] with content type EMPTY""" _TypeDefinition = None _ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_EMPTY _Abstract = False _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 286, 8) _ElementMap = {} _AttributeMap = {} # Base type is pyxb.binding.datatypes.anyType # Attribute class uses Python identifier class_ __class = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'class'), 'class_', '__AbsentNamespace0_CTD_ANON_26_class', pyxb.binding.datatypes.anySimpleType) __class._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 287, 12) __class._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 287, 12) class_ = property(__class.value, __class.set, None, None) # Attribute rubric uses Python identifier rubric __rubric = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'rubric'), 'rubric', '__AbsentNamespace0_CTD_ANON_26_rubric', pyxb.binding.datatypes.IDREF, required=True) __rubric._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 288, 12) __rubric._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 288, 12) rubric = property(__rubric.value, __rubric.set, None, None) _ElementMap.update({ }) _AttributeMap.update({ __class.name() : __class, __rubric.name() : __rubric }) _module_typeBindings.CTD_ANON_26 = CTD_ANON_26 # Complex type [anonymous] with content type EMPTY class CTD_ANON_27 (pyxb.binding.basis.complexTypeDefinition): """Complex type [anonymous] with content type EMPTY""" _TypeDefinition = None _ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_EMPTY _Abstract = False _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 292, 8) _ElementMap = {} _AttributeMap = {} # Base type is pyxb.binding.datatypes.anyType # Attribute code uses Python identifier code __code = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'code'), 'code', '__AbsentNamespace0_CTD_ANON_27_code', pyxb.binding.datatypes.NMTOKEN, required=True) __code._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 293, 12) __code._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 293, 12) code = property(__code.value, __code.set, None, None) # Attribute kind uses Python identifier kind __kind = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'kind'), 'kind', '__AbsentNamespace0_CTD_ANON_27_kind', pyxb.binding.datatypes.IDREF, required=True) __kind._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 294, 12) __kind._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 294, 12) kind = property(__kind.value, __kind.set, None, None) _ElementMap.update({ }) _AttributeMap.update({ __code.name() : __code, __kind.name() : __kind }) _module_typeBindings.CTD_ANON_27 = CTD_ANON_27 # Complex type [anonymous] with content type ELEMENT_ONLY class CTD_ANON_28 (pyxb.binding.basis.complexTypeDefinition): """Complex type [anonymous] with content type ELEMENT_ONLY""" _TypeDefinition = None _ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY _Abstract = False _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 298, 8) _ElementMap = {} _AttributeMap = {} # Base type is pyxb.binding.datatypes.anyType # Element ListItem uses Python identifier ListItem __ListItem = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'ListItem'), 'ListItem', '__AbsentNamespace0_CTD_ANON_28_ListItem', True, pyxb.utils.utility.Location('ClaML.xsd', 305, 4), ) ListItem = property(__ListItem.value, __ListItem.set, None, None) # Attribute class uses Python identifier class_ __class = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'class'), 'class_', '__AbsentNamespace0_CTD_ANON_28_class', pyxb.binding.datatypes.anySimpleType) __class._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 302, 12) __class._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 302, 12) class_ = property(__class.value, __class.set, None, None) _ElementMap.update({ __ListItem.name() : __ListItem }) _AttributeMap.update({ __class.name() : __class }) _module_typeBindings.CTD_ANON_28 = CTD_ANON_28 # Complex type [anonymous] with content type MIXED class CTD_ANON_29 (pyxb.binding.basis.complexTypeDefinition): """Complex type [anonymous] with content type MIXED""" _TypeDefinition = None _ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_MIXED _Abstract = False _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 306, 8) _ElementMap = {} _AttributeMap = {} # Base type is pyxb.binding.datatypes.anyType # Element Reference uses Python identifier Reference __Reference = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Reference'), 'Reference', '__AbsentNamespace0_CTD_ANON_29_Reference', True, pyxb.utils.utility.Location('ClaML.xsd', 254, 4), ) Reference = property(__Reference.value, __Reference.set, None, None) # Element Para uses Python identifier Para __Para = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Para'), 'Para', '__AbsentNamespace0_CTD_ANON_29_Para', True, pyxb.utils.utility.Location('ClaML.xsd', 264, 4), ) Para = property(__Para.value, __Para.set, None, None) # Element Include uses Python identifier Include __Include = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Include'), 'Include', '__AbsentNamespace0_CTD_ANON_29_Include', True, pyxb.utils.utility.Location('ClaML.xsd', 285, 4), ) Include = property(__Include.value, __Include.set, None, None) # Element List uses Python identifier List __List = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'List'), 'List', '__AbsentNamespace0_CTD_ANON_29_List', True, pyxb.utils.utility.Location('ClaML.xsd', 297, 4), ) List = property(__List.value, __List.set, None, None) # Element Table uses Python identifier Table __Table = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Table'), 'Table', '__AbsentNamespace0_CTD_ANON_29_Table', True, pyxb.utils.utility.Location('ClaML.xsd', 317, 4), ) Table = property(__Table.value, __Table.set, None, None) # Element Term uses Python identifier Term __Term = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Term'), 'Term', '__AbsentNamespace0_CTD_ANON_29_Term', True, pyxb.utils.utility.Location('ClaML.xsd', 380, 4), ) Term = property(__Term.value, __Term.set, None, None) # Attribute class uses Python identifier class_ __class = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'class'), 'class_', '__AbsentNamespace0_CTD_ANON_29_class', pyxb.binding.datatypes.anySimpleType) __class._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 314, 12) __class._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 314, 12) class_ = property(__class.value, __class.set, None, None) _ElementMap.update({ __Reference.name() : __Reference, __Para.name() : __Para, __Include.name() : __Include, __List.name() : __List, __Table.name() : __Table, __Term.name() : __Term }) _AttributeMap.update({ __class.name() : __class }) _module_typeBindings.CTD_ANON_29 = CTD_ANON_29 # Complex type [anonymous] with content type ELEMENT_ONLY class CTD_ANON_30 (pyxb.binding.basis.complexTypeDefinition): """Complex type [anonymous] with content type ELEMENT_ONLY""" _TypeDefinition = None _ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY _Abstract = False _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 318, 8) _ElementMap = {} _AttributeMap = {} # Base type is pyxb.binding.datatypes.anyType # Element Caption uses Python identifier Caption __Caption = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Caption'), 'Caption', '__AbsentNamespace0_CTD_ANON_30_Caption', False, pyxb.utils.utility.Location('ClaML.xsd', 328, 4), ) Caption = property(__Caption.value, __Caption.set, None, None) # Element THead uses Python identifier THead __THead = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'THead'), 'THead', '__AbsentNamespace0_CTD_ANON_30_THead', False, pyxb.utils.utility.Location('ClaML.xsd', 334, 4), ) THead = property(__THead.value, __THead.set, None, None) # Element TBody uses Python identifier TBody __TBody = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'TBody'), 'TBody', '__AbsentNamespace0_CTD_ANON_30_TBody', False, pyxb.utils.utility.Location('ClaML.xsd', 342, 4), ) TBody = property(__TBody.value, __TBody.set, None, None) # Element TFoot uses Python identifier TFoot __TFoot = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'TFoot'), 'TFoot', '__AbsentNamespace0_CTD_ANON_30_TFoot', False, pyxb.utils.utility.Location('ClaML.xsd', 350, 4), ) TFoot = property(__TFoot.value, __TFoot.set, None, None) # Attribute class uses Python identifier class_ __class = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'class'), 'class_', '__AbsentNamespace0_CTD_ANON_30_class', pyxb.binding.datatypes.anySimpleType) __class._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 325, 12) __class._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 325, 12) class_ = property(__class.value, __class.set, None, None) _ElementMap.update({ __Caption.name() : __Caption, __THead.name() : __THead, __TBody.name() : __TBody, __TFoot.name() : __TFoot }) _AttributeMap.update({ __class.name() : __class }) _module_typeBindings.CTD_ANON_30 = CTD_ANON_30 # Complex type [anonymous] with content type MIXED class CTD_ANON_31 (pyxb.binding.basis.complexTypeDefinition): """Complex type [anonymous] with content type MIXED""" _TypeDefinition = None _ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_MIXED _Abstract = False _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 329, 8) _ElementMap = {} _AttributeMap = {} # Base type is pyxb.binding.datatypes.anyType # Element Reference uses Python identifier Reference __Reference = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Reference'), 'Reference', '__AbsentNamespace0_CTD_ANON_31_Reference', True, pyxb.utils.utility.Location('ClaML.xsd', 254, 4), ) Reference = property(__Reference.value, __Reference.set, None, None) # Element Term uses Python identifier Term __Term = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Term'), 'Term', '__AbsentNamespace0_CTD_ANON_31_Term', True, pyxb.utils.utility.Location('ClaML.xsd', 380, 4), ) Term = property(__Term.value, __Term.set, None, None) # Attribute class uses Python identifier class_ __class = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'class'), 'class_', '__AbsentNamespace0_CTD_ANON_31_class', pyxb.binding.datatypes.anySimpleType) __class._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 331, 12) __class._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 331, 12) class_ = property(__class.value, __class.set, None, None) _ElementMap.update({ __Reference.name() : __Reference, __Term.name() : __Term }) _AttributeMap.update({ __class.name() : __class }) _module_typeBindings.CTD_ANON_31 = CTD_ANON_31 # Complex type [anonymous] with content type ELEMENT_ONLY class CTD_ANON_32 (pyxb.binding.basis.complexTypeDefinition): """Complex type [anonymous] with content type ELEMENT_ONLY""" _TypeDefinition = None _ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY _Abstract = False _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 335, 8) _ElementMap = {} _AttributeMap = {} # Base type is pyxb.binding.datatypes.anyType # Element Row uses Python identifier Row __Row = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Row'), 'Row', '__AbsentNamespace0_CTD_ANON_32_Row', True, pyxb.utils.utility.Location('ClaML.xsd', 358, 4), ) Row = property(__Row.value, __Row.set, None, None) # Attribute class uses Python identifier class_ __class = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'class'), 'class_', '__AbsentNamespace0_CTD_ANON_32_class', pyxb.binding.datatypes.anySimpleType) __class._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 339, 12) __class._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 339, 12) class_ = property(__class.value, __class.set, None, None) _ElementMap.update({ __Row.name() : __Row }) _AttributeMap.update({ __class.name() : __class }) _module_typeBindings.CTD_ANON_32 = CTD_ANON_32 # Complex type [anonymous] with content type ELEMENT_ONLY class CTD_ANON_33 (pyxb.binding.basis.complexTypeDefinition): """Complex type [anonymous] with content type ELEMENT_ONLY""" _TypeDefinition = None _ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY _Abstract = False _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 343, 8) _ElementMap = {} _AttributeMap = {} # Base type is pyxb.binding.datatypes.anyType # Element Row uses Python identifier Row __Row = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Row'), 'Row', '__AbsentNamespace0_CTD_ANON_33_Row', True, pyxb.utils.utility.Location('ClaML.xsd', 358, 4), ) Row = property(__Row.value, __Row.set, None, None) # Attribute class uses Python identifier class_ __class = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'class'), 'class_', '__AbsentNamespace0_CTD_ANON_33_class', pyxb.binding.datatypes.anySimpleType) __class._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 347, 12) __class._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 347, 12) class_ = property(__class.value, __class.set, None, None) _ElementMap.update({ __Row.name() : __Row }) _AttributeMap.update({ __class.name() : __class }) _module_typeBindings.CTD_ANON_33 = CTD_ANON_33 # Complex type [anonymous] with content type ELEMENT_ONLY class CTD_ANON_34 (pyxb.binding.basis.complexTypeDefinition): """Complex type [anonymous] with content type ELEMENT_ONLY""" _TypeDefinition = None _ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY _Abstract = False _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 351, 8) _ElementMap = {} _AttributeMap = {} # Base type is pyxb.binding.datatypes.anyType # Element Row uses Python identifier Row __Row = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Row'), 'Row', '__AbsentNamespace0_CTD_ANON_34_Row', True, pyxb.utils.utility.Location('ClaML.xsd', 358, 4), ) Row = property(__Row.value, __Row.set, None, None) # Attribute class uses Python identifier class_ __class = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'class'), 'class_', '__AbsentNamespace0_CTD_ANON_34_class', pyxb.binding.datatypes.anySimpleType) __class._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 355, 12) __class._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 355, 12) class_ = property(__class.value, __class.set, None, None) _ElementMap.update({ __Row.name() : __Row }) _AttributeMap.update({ __class.name() : __class }) _module_typeBindings.CTD_ANON_34 = CTD_ANON_34 # Complex type [anonymous] with content type ELEMENT_ONLY class CTD_ANON_35 (pyxb.binding.basis.complexTypeDefinition): """Complex type [anonymous] with content type ELEMENT_ONLY""" _TypeDefinition = None _ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY _Abstract = False _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 359, 8) _ElementMap = {} _AttributeMap = {} # Base type is pyxb.binding.datatypes.anyType # Element Cell uses Python identifier Cell __Cell = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Cell'), 'Cell', '__AbsentNamespace0_CTD_ANON_35_Cell', True, pyxb.utils.utility.Location('ClaML.xsd', 366, 4), ) Cell = property(__Cell.value, __Cell.set, None, None) # Attribute class uses Python identifier class_ __class = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'class'), 'class_', '__AbsentNamespace0_CTD_ANON_35_class', pyxb.binding.datatypes.anySimpleType) __class._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 363, 12) __class._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 363, 12) class_ = property(__class.value, __class.set, None, None) _ElementMap.update({ __Cell.name() : __Cell }) _AttributeMap.update({ __class.name() : __class }) _module_typeBindings.CTD_ANON_35 = CTD_ANON_35 # Complex type [anonymous] with content type MIXED class CTD_ANON_36 (pyxb.binding.basis.complexTypeDefinition): """Complex type [anonymous] with content type MIXED""" _TypeDefinition = None _ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_MIXED _Abstract = False _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 367, 8) _ElementMap = {} _AttributeMap = {} # Base type is pyxb.binding.datatypes.anyType # Element Reference uses Python identifier Reference __Reference = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Reference'), 'Reference', '__AbsentNamespace0_CTD_ANON_36_Reference', True, pyxb.utils.utility.Location('ClaML.xsd', 254, 4), ) Reference = property(__Reference.value, __Reference.set, None, None) # Element Para uses Python identifier Para __Para = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Para'), 'Para', '__AbsentNamespace0_CTD_ANON_36_Para', True, pyxb.utils.utility.Location('ClaML.xsd', 264, 4), ) Para = property(__Para.value, __Para.set, None, None) # Element Include uses Python identifier Include __Include = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Include'), 'Include', '__AbsentNamespace0_CTD_ANON_36_Include', True, pyxb.utils.utility.Location('ClaML.xsd', 285, 4), ) Include = property(__Include.value, __Include.set, None, None) # Element List uses Python identifier List __List = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'List'), 'List', '__AbsentNamespace0_CTD_ANON_36_List', True, pyxb.utils.utility.Location('ClaML.xsd', 297, 4), ) List = property(__List.value, __List.set, None, None) # Element Table uses Python identifier Table __Table = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Table'), 'Table', '__AbsentNamespace0_CTD_ANON_36_Table', True, pyxb.utils.utility.Location('ClaML.xsd', 317, 4), ) Table = property(__Table.value, __Table.set, None, None) # Element Term uses Python identifier Term __Term = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Term'), 'Term', '__AbsentNamespace0_CTD_ANON_36_Term', True, pyxb.utils.utility.Location('ClaML.xsd', 380, 4), ) Term = property(__Term.value, __Term.set, None, None) # Attribute class uses Python identifier class_ __class = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'class'), 'class_', '__AbsentNamespace0_CTD_ANON_36_class', pyxb.binding.datatypes.anySimpleType) __class._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 375, 12) __class._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 375, 12) class_ = property(__class.value, __class.set, None, None) # Attribute rowspan uses Python identifier rowspan __rowspan = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'rowspan'), 'rowspan', '__AbsentNamespace0_CTD_ANON_36_rowspan', pyxb.binding.datatypes.anySimpleType) __rowspan._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 376, 12) __rowspan._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 376, 12) rowspan = property(__rowspan.value, __rowspan.set, None, None) # Attribute colspan uses Python identifier colspan __colspan = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'colspan'), 'colspan', '__AbsentNamespace0_CTD_ANON_36_colspan', pyxb.binding.datatypes.anySimpleType) __colspan._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 377, 12) __colspan._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 377, 12) colspan = property(__colspan.value, __colspan.set, None, None) _ElementMap.update({ __Reference.name() : __Reference, __Para.name() : __Para, __Include.name() : __Include, __List.name() : __List, __Table.name() : __Table, __Term.name() : __Term }) _AttributeMap.update({ __class.name() : __class, __rowspan.name() : __rowspan, __colspan.name() : __colspan }) _module_typeBindings.CTD_ANON_36 = CTD_ANON_36 # Complex type [anonymous] with content type MIXED class CTD_ANON_37 (pyxb.binding.basis.complexTypeDefinition): """Complex type [anonymous] with content type MIXED""" _TypeDefinition = None _ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_MIXED _Abstract = False _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 381, 8) _ElementMap = {} _AttributeMap = {} # Base type is pyxb.binding.datatypes.anyType # Attribute class uses Python identifier class_ __class = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'class'), 'class_', '__AbsentNamespace0_CTD_ANON_37_class', pyxb.binding.datatypes.anySimpleType) __class._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 382, 12) __class._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 382, 12) class_ = property(__class.value, __class.set, None, None) _ElementMap.update({ }) _AttributeMap.update({ __class.name() : __class }) _module_typeBindings.CTD_ANON_37 = CTD_ANON_37 # Complex type [anonymous] with content type ELEMENT_ONLY class CTD_ANON_38 (pyxb.binding.basis.complexTypeDefinition): """Complex type [anonymous] with content type ELEMENT_ONLY""" _TypeDefinition = None _ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY _Abstract = False _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 115, 8) _ElementMap = {} _AttributeMap = {} # Base type is pyxb.binding.datatypes.anyType # Element Display uses Python identifier Display __Display = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Display'), 'Display', '__AbsentNamespace0_CTD_ANON_38_Display', True, pyxb.utils.utility.Location('ClaML.xsd', 136, 4), ) Display = property(__Display.value, __Display.set, None, None) # Attribute name uses Python identifier name __name = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'name'), 'name', '__AbsentNamespace0_CTD_ANON_38_name', pyxb.binding.datatypes.ID, required=True) __name._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 119, 12) __name._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 119, 12) name = property(__name.value, __name.set, None, None) # Attribute inherited uses Python identifier inherited __inherited = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'inherited'), 'inherited', '__AbsentNamespace0_CTD_ANON_38_inherited', _module_typeBindings.STD_ANON, unicode_default='true') __inherited._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 120, 12) __inherited._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 120, 12) inherited = property(__inherited.value, __inherited.set, None, None) _ElementMap.update({ __Display.name() : __Display }) _AttributeMap.update({ __name.name() : __name, __inherited.name() : __inherited }) _module_typeBindings.CTD_ANON_38 = CTD_ANON_38 # Complex type [anonymous] with content type ELEMENT_ONLY class CTD_ANON_39 (pyxb.binding.basis.complexTypeDefinition): """Complex type [anonymous] with content type ELEMENT_ONLY""" _TypeDefinition = None _ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY _Abstract = False _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 187, 8) _ElementMap = {} _AttributeMap = {} # Base type is pyxb.binding.datatypes.anyType # Element Meta uses Python identifier Meta __Meta = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Meta'), 'Meta', '__AbsentNamespace0_CTD_ANON_39_Meta', True, pyxb.utils.utility.Location('ClaML.xsd', 53, 4), ) Meta = property(__Meta.value, __Meta.set, None, None) # Element ValidModifierClass uses Python identifier ValidModifierClass __ValidModifierClass = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'ValidModifierClass'), 'ValidModifierClass', '__AbsentNamespace0_CTD_ANON_39_ValidModifierClass', True, pyxb.utils.utility.Location('ClaML.xsd', 211, 4), ) ValidModifierClass = property(__ValidModifierClass.value, __ValidModifierClass.set, None, None) # Attribute code uses Python identifier code __code = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'code'), 'code', '__AbsentNamespace0_CTD_ANON_39_code', pyxb.binding.datatypes.NMTOKEN, required=True) __code._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 192, 12) __code._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 192, 12) code = property(__code.value, __code.set, None, None) # Attribute all uses Python identifier all __all = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'all'), 'all', '__AbsentNamespace0_CTD_ANON_39_all', _module_typeBindings.STD_ANON_, unicode_default='true') __all._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 193, 12) __all._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 193, 12) all = property(__all.value, __all.set, None, None) # Attribute position uses Python identifier position __position = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'position'), 'position', '__AbsentNamespace0_CTD_ANON_39_position', pyxb.binding.datatypes.anySimpleType) __position._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 201, 12) __position._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 201, 12) position = property(__position.value, __position.set, None, None) # Attribute variants uses Python identifier variants __variants = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'variants'), 'variants', '__AbsentNamespace0_CTD_ANON_39_variants', pyxb.binding.datatypes.IDREFS) __variants._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 202, 12) __variants._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 202, 12) variants = property(__variants.value, __variants.set, None, None) _ElementMap.update({ __Meta.name() : __Meta, __ValidModifierClass.name() : __ValidModifierClass }) _AttributeMap.update({ __code.name() : __code, __all.name() : __all, __position.name() : __position, __variants.name() : __variants }) _module_typeBindings.CTD_ANON_39 = CTD_ANON_39 # Complex type [anonymous] with content type MIXED class CTD_ANON_40 (pyxb.binding.basis.complexTypeDefinition): """Complex type [anonymous] with content type MIXED""" _TypeDefinition = None _ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_MIXED _Abstract = False _ExpandedName = None _XSDLocation = pyxb.utils.utility.Location('ClaML.xsd', 271, 8) _ElementMap = {} _AttributeMap = {} # Base type is pyxb.binding.datatypes.anyType # Element Reference uses Python identifier Reference __Reference = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Reference'), 'Reference', '__AbsentNamespace0_CTD_ANON_40_Reference', True, pyxb.utils.utility.Location('ClaML.xsd', 254, 4), ) Reference = property(__Reference.value, __Reference.set, None, None) # Element Term uses Python identifier Term __Term = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'Term'), 'Term', '__AbsentNamespace0_CTD_ANON_40_Term', True, pyxb.utils.utility.Location('ClaML.xsd', 380, 4), ) Term = property(__Term.value, __Term.set, None, None) # Attribute class uses Python identifier class_ __class = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'class'), 'class_', '__AbsentNamespace0_CTD_ANON_40_class', pyxb.binding.datatypes.anySimpleType) __class._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 273, 12) __class._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 273, 12) class_ = property(__class.value, __class.set, None, None) # Attribute usage uses Python identifier usage __usage = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'usage'), 'usage', '__AbsentNamespace0_CTD_ANON_40_usage', pyxb.binding.datatypes.IDREF) __usage._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 274, 12) __usage._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 274, 12) usage = property(__usage.value, __usage.set, None, None) # Attribute type uses Python identifier type __type = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, 'type'), 'type', '__AbsentNamespace0_CTD_ANON_40_type', _module_typeBindings.STD_ANON_2, unicode_default='item') __type._DeclarationLocation = pyxb.utils.utility.Location('ClaML.xsd', 275, 12) __type._UseLocation = pyxb.utils.utility.Location('ClaML.xsd', 275, 12) type = property(__type.value, __type.set, None, None) _ElementMap.update({ __Reference.name() : __Reference, __Term.name() : __Term }) _AttributeMap.update({ __class.name() : __class, __usage.name() : __usage, __type.name() : __type }) _module_typeBindings.CTD_ANON_40 = CTD_ANON_40 ClaML = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'ClaML'), CTD_ANON, location=pyxb.utils.utility.Location('ClaML.xsd', 23, 4)) Namespace.addCategoryObject('elementBinding', ClaML.name().localName(), ClaML) Variants = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Variants'), CTD_ANON_, location=pyxb.utils.utility.Location('ClaML.xsd', 41, 4)) Namespace.addCategoryObject('elementBinding', Variants.name().localName(), Variants) Variant = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Variant'), CTD_ANON_2, location=pyxb.utils.utility.Location('ClaML.xsd', 48, 4)) Namespace.addCategoryObject('elementBinding', Variant.name().localName(), Variant) Meta = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Meta'), CTD_ANON_3, location=pyxb.utils.utility.Location('ClaML.xsd', 53, 4)) Namespace.addCategoryObject('elementBinding', Meta.name().localName(), Meta) Identifier = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Identifier'), CTD_ANON_4, location=pyxb.utils.utility.Location('ClaML.xsd', 60, 4)) Namespace.addCategoryObject('elementBinding', Identifier.name().localName(), Identifier) Title = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Title'), CTD_ANON_5, location=pyxb.utils.utility.Location('ClaML.xsd', 66, 4)) Namespace.addCategoryObject('elementBinding', Title.name().localName(), Title) Authors = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Authors'), CTD_ANON_6, location=pyxb.utils.utility.Location('ClaML.xsd', 73, 4)) Namespace.addCategoryObject('elementBinding', Authors.name().localName(), Authors) Author = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Author'), CTD_ANON_7, location=pyxb.utils.utility.Location('ClaML.xsd', 80, 4)) Namespace.addCategoryObject('elementBinding', Author.name().localName(), Author) ClassKinds = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'ClassKinds'), CTD_ANON_8, location=pyxb.utils.utility.Location('ClaML.xsd', 85, 4)) Namespace.addCategoryObject('elementBinding', ClassKinds.name().localName(), ClassKinds) RubricKinds = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'RubricKinds'), CTD_ANON_9, location=pyxb.utils.utility.Location('ClaML.xsd', 92, 4)) Namespace.addCategoryObject('elementBinding', RubricKinds.name().localName(), RubricKinds) UsageKinds = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'UsageKinds'), CTD_ANON_10, location=pyxb.utils.utility.Location('ClaML.xsd', 99, 4)) Namespace.addCategoryObject('elementBinding', UsageKinds.name().localName(), UsageKinds) ClassKind = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'ClassKind'), CTD_ANON_11, location=pyxb.utils.utility.Location('ClaML.xsd', 106, 4)) Namespace.addCategoryObject('elementBinding', ClassKind.name().localName(), ClassKind) UsageKind = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'UsageKind'), CTD_ANON_12, location=pyxb.utils.utility.Location('ClaML.xsd', 130, 4)) Namespace.addCategoryObject('elementBinding', UsageKind.name().localName(), UsageKind) Display = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Display'), CTD_ANON_13, location=pyxb.utils.utility.Location('ClaML.xsd', 136, 4)) Namespace.addCategoryObject('elementBinding', Display.name().localName(), Display) Modifier = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Modifier'), CTD_ANON_14, location=pyxb.utils.utility.Location('ClaML.xsd', 142, 4)) Namespace.addCategoryObject('elementBinding', Modifier.name().localName(), Modifier) ModifierClass = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'ModifierClass'), CTD_ANON_15, location=pyxb.utils.utility.Location('ClaML.xsd', 154, 4)) Namespace.addCategoryObject('elementBinding', ModifierClass.name().localName(), ModifierClass) Class = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Class'), CTD_ANON_16, location=pyxb.utils.utility.Location('ClaML.xsd', 169, 4)) Namespace.addCategoryObject('elementBinding', Class.name().localName(), Class) ExcludeModifier = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'ExcludeModifier'), CTD_ANON_17, location=pyxb.utils.utility.Location('ClaML.xsd', 205, 4)) Namespace.addCategoryObject('elementBinding', ExcludeModifier.name().localName(), ExcludeModifier) ValidModifierClass = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'ValidModifierClass'), CTD_ANON_18, location=pyxb.utils.utility.Location('ClaML.xsd', 211, 4)) Namespace.addCategoryObject('elementBinding', ValidModifierClass.name().localName(), ValidModifierClass) Rubric = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Rubric'), CTD_ANON_19, location=pyxb.utils.utility.Location('ClaML.xsd', 217, 4)) Namespace.addCategoryObject('elementBinding', Rubric.name().localName(), Rubric) Label = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Label'), CTD_ANON_20, location=pyxb.utils.utility.Location('ClaML.xsd', 228, 4)) Namespace.addCategoryObject('elementBinding', Label.name().localName(), Label) History = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'History'), CTD_ANON_21, location=pyxb.utils.utility.Location('ClaML.xsd', 236, 4)) Namespace.addCategoryObject('elementBinding', History.name().localName(), History) SuperClass = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'SuperClass'), CTD_ANON_22, location=pyxb.utils.utility.Location('ClaML.xsd', 242, 4)) Namespace.addCategoryObject('elementBinding', SuperClass.name().localName(), SuperClass) SubClass = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'SubClass'), CTD_ANON_23, location=pyxb.utils.utility.Location('ClaML.xsd', 248, 4)) Namespace.addCategoryObject('elementBinding', SubClass.name().localName(), SubClass) Reference = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Reference'), CTD_ANON_24, location=pyxb.utils.utility.Location('ClaML.xsd', 254, 4)) Namespace.addCategoryObject('elementBinding', Reference.name().localName(), Reference) Para = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Para'), CTD_ANON_25, location=pyxb.utils.utility.Location('ClaML.xsd', 264, 4)) Namespace.addCategoryObject('elementBinding', Para.name().localName(), Para) Include = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Include'), CTD_ANON_26, location=pyxb.utils.utility.Location('ClaML.xsd', 285, 4)) Namespace.addCategoryObject('elementBinding', Include.name().localName(), Include) IncludeDescendants = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'IncludeDescendants'), CTD_ANON_27, location=pyxb.utils.utility.Location('ClaML.xsd', 291, 4)) Namespace.addCategoryObject('elementBinding', IncludeDescendants.name().localName(), IncludeDescendants) List = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'List'), CTD_ANON_28, location=pyxb.utils.utility.Location('ClaML.xsd', 297, 4)) Namespace.addCategoryObject('elementBinding', List.name().localName(), List) ListItem = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'ListItem'), CTD_ANON_29, location=pyxb.utils.utility.Location('ClaML.xsd', 305, 4)) Namespace.addCategoryObject('elementBinding', ListItem.name().localName(), ListItem) Table = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Table'), CTD_ANON_30, location=pyxb.utils.utility.Location('ClaML.xsd', 317, 4)) Namespace.addCategoryObject('elementBinding', Table.name().localName(), Table) Caption = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Caption'), CTD_ANON_31, location=pyxb.utils.utility.Location('ClaML.xsd', 328, 4)) Namespace.addCategoryObject('elementBinding', Caption.name().localName(), Caption) THead = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'THead'), CTD_ANON_32, location=pyxb.utils.utility.Location('ClaML.xsd', 334, 4)) Namespace.addCategoryObject('elementBinding', THead.name().localName(), THead) TBody = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'TBody'), CTD_ANON_33, location=pyxb.utils.utility.Location('ClaML.xsd', 342, 4)) Namespace.addCategoryObject('elementBinding', TBody.name().localName(), TBody) TFoot = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'TFoot'), CTD_ANON_34, location=pyxb.utils.utility.Location('ClaML.xsd', 350, 4)) Namespace.addCategoryObject('elementBinding', TFoot.name().localName(), TFoot) Row = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Row'), CTD_ANON_35, location=pyxb.utils.utility.Location('ClaML.xsd', 358, 4)) Namespace.addCategoryObject('elementBinding', Row.name().localName(), Row) Cell = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Cell'), CTD_ANON_36, location=pyxb.utils.utility.Location('ClaML.xsd', 366, 4)) Namespace.addCategoryObject('elementBinding', Cell.name().localName(), Cell) Term = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Term'), CTD_ANON_37, location=pyxb.utils.utility.Location('ClaML.xsd', 380, 4)) Namespace.addCategoryObject('elementBinding', Term.name().localName(), Term) RubricKind = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'RubricKind'), CTD_ANON_38, location=pyxb.utils.utility.Location('ClaML.xsd', 114, 4)) Namespace.addCategoryObject('elementBinding', RubricKind.name().localName(), RubricKind) ModifiedBy = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'ModifiedBy'), CTD_ANON_39, location=pyxb.utils.utility.Location('ClaML.xsd', 186, 4)) Namespace.addCategoryObject('elementBinding', ModifiedBy.name().localName(), ModifiedBy) Fragment = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Fragment'), CTD_ANON_40, location=pyxb.utils.utility.Location('ClaML.xsd', 270, 4)) Namespace.addCategoryObject('elementBinding', Fragment.name().localName(), Fragment) CTD_ANON._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Variants'), CTD_ANON_, scope=CTD_ANON, location=pyxb.utils.utility.Location('ClaML.xsd', 41, 4))) CTD_ANON._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Meta'), CTD_ANON_3, scope=CTD_ANON, location=pyxb.utils.utility.Location('ClaML.xsd', 53, 4))) CTD_ANON._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Identifier'), CTD_ANON_4, scope=CTD_ANON, location=pyxb.utils.utility.Location('ClaML.xsd', 60, 4))) CTD_ANON._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Title'), CTD_ANON_5, scope=CTD_ANON, location=pyxb.utils.utility.Location('ClaML.xsd', 66, 4))) CTD_ANON._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Authors'), CTD_ANON_6, scope=CTD_ANON, location=pyxb.utils.utility.Location('ClaML.xsd', 73, 4))) CTD_ANON._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'ClassKinds'), CTD_ANON_8, scope=CTD_ANON, location=pyxb.utils.utility.Location('ClaML.xsd', 85, 4))) CTD_ANON._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'RubricKinds'), CTD_ANON_9, scope=CTD_ANON, location=pyxb.utils.utility.Location('ClaML.xsd', 92, 4))) CTD_ANON._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'UsageKinds'), CTD_ANON_10, scope=CTD_ANON, location=pyxb.utils.utility.Location('ClaML.xsd', 99, 4))) CTD_ANON._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Modifier'), CTD_ANON_14, scope=CTD_ANON, location=pyxb.utils.utility.Location('ClaML.xsd', 142, 4))) CTD_ANON._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'ModifierClass'), CTD_ANON_15, scope=CTD_ANON, location=pyxb.utils.utility.Location('ClaML.xsd', 154, 4))) CTD_ANON._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Class'), CTD_ANON_16, scope=CTD_ANON, location=pyxb.utils.utility.Location('ClaML.xsd', 169, 4))) def _BuildAutomaton (): # Remove this helper function from the namespace after it is invoked global _BuildAutomaton del _BuildAutomaton import pyxb.utils.fac as fac counters = set() cc_0 = fac.CounterCondition(min=0, max=None, metadata=pyxb.utils.utility.Location('ClaML.xsd', 26, 16)) counters.add(cc_0) cc_1 = fac.CounterCondition(min=0, max=None, metadata=pyxb.utils.utility.Location('ClaML.xsd', 27, 16)) counters.add(cc_1) cc_2 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('ClaML.xsd', 29, 16)) counters.add(cc_2) cc_3 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('ClaML.xsd', 30, 16)) counters.add(cc_3) cc_4 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('ClaML.xsd', 32, 16)) counters.add(cc_4) cc_5 = fac.CounterCondition(min=0, max=None, metadata=pyxb.utils.utility.Location('ClaML.xsd', 34, 16)) counters.add(cc_5) cc_6 = fac.CounterCondition(min=0, max=None, metadata=pyxb.utils.utility.Location('ClaML.xsd', 35, 16)) counters.add(cc_6) cc_7 = fac.CounterCondition(min=0, max=None, metadata=pyxb.utils.utility.Location('ClaML.xsd', 36, 16)) counters.add(cc_7) states = [] final_update = None symbol = pyxb.binding.content.ElementUse(CTD_ANON._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Meta')), pyxb.utils.utility.Location('ClaML.xsd', 26, 16)) st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_0) final_update = None symbol = pyxb.binding.content.ElementUse(CTD_ANON._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Identifier')), pyxb.utils.utility.Location('ClaML.xsd', 27, 16)) st_1 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_1) final_update = None symbol = pyxb.binding.content.ElementUse(CTD_ANON._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Title')), pyxb.utils.utility.Location('ClaML.xsd', 28, 16)) st_2 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_2) final_update = None symbol = pyxb.binding.content.ElementUse(CTD_ANON._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Authors')), pyxb.utils.utility.Location('ClaML.xsd', 29, 16)) st_3 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False) states.append(st_3) final_update = None symbol = pyxb.binding.content.ElementUse(CTD_ANON._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Variants')), pyxb.utils.utility.Location('ClaML.xsd', 30, 16)) st_4 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False) states.append(st_4) final_update = None symbol = pyxb.binding.content.ElementUse(CTD_ANON._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'ClassKinds')), pyxb.utils.utility.Location('ClaML.xsd', 31, 16)) st_5 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False) states.append(st_5) final_update = None symbol = pyxb.binding.content.ElementUse(CTD_ANON._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'UsageKinds')), pyxb.utils.utility.Location('ClaML.xsd', 32, 16)) st_6 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False) states.append(st_6) final_update = set() symbol = pyxb.binding.content.ElementUse(CTD_ANON._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'RubricKinds')), pyxb.utils.utility.Location('ClaML.xsd', 33, 16)) st_7 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False) states.append(st_7) final_update = set() final_update.add(fac.UpdateInstruction(cc_5, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Modifier')), pyxb.utils.utility.Location('ClaML.xsd', 34, 16)) st_8 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False) states.append(st_8) final_update = set() final_update.add(fac.UpdateInstruction(cc_6, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'ModifierClass')), pyxb.utils.utility.Location('ClaML.xsd', 35, 16)) st_9 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False) states.append(st_9) final_update = set() final_update.add(fac.UpdateInstruction(cc_7, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Class')), pyxb.utils.utility.Location('ClaML.xsd', 36, 16)) st_10 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False) states.append(st_10) transitions = [] transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_0, False) ])) transitions.append(fac.Transition(st_2, [ fac.UpdateInstruction(cc_0, False) ])) st_0._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_1, True) ])) transitions.append(fac.Transition(st_2, [ fac.UpdateInstruction(cc_1, False) ])) st_1._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_3, [ ])) transitions.append(fac.Transition(st_4, [ ])) transitions.append(fac.Transition(st_5, [ ])) st_2._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_3, [ fac.UpdateInstruction(cc_2, True) ])) transitions.append(fac.Transition(st_4, [ fac.UpdateInstruction(cc_2, False) ])) transitions.append(fac.Transition(st_5, [ fac.UpdateInstruction(cc_2, False) ])) st_3._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_4, [ fac.UpdateInstruction(cc_3, True) ])) transitions.append(fac.Transition(st_5, [ fac.UpdateInstruction(cc_3, False) ])) st_4._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_6, [ ])) transitions.append(fac.Transition(st_7, [ ])) st_5._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_6, [ fac.UpdateInstruction(cc_4, True) ])) transitions.append(fac.Transition(st_7, [ fac.UpdateInstruction(cc_4, False) ])) st_6._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_8, [ ])) transitions.append(fac.Transition(st_9, [ ])) transitions.append(fac.Transition(st_10, [ ])) st_7._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_8, [ fac.UpdateInstruction(cc_5, True) ])) transitions.append(fac.Transition(st_9, [ fac.UpdateInstruction(cc_5, False) ])) transitions.append(fac.Transition(st_10, [ fac.UpdateInstruction(cc_5, False) ])) st_8._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_9, [ fac.UpdateInstruction(cc_6, True) ])) transitions.append(fac.Transition(st_10, [ fac.UpdateInstruction(cc_6, False) ])) st_9._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_10, [ fac.UpdateInstruction(cc_7, True) ])) st_10._set_transitionSet(transitions) return fac.Automaton(states, counters, False, containing_state=None) CTD_ANON._Automaton = _BuildAutomaton() CTD_ANON_._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Variant'), CTD_ANON_2, scope=CTD_ANON_, location=pyxb.utils.utility.Location('ClaML.xsd', 48, 4))) def _BuildAutomaton_ (): # Remove this helper function from the namespace after it is invoked global _BuildAutomaton_ del _BuildAutomaton_ import pyxb.utils.fac as fac counters = set() states = [] final_update = set() symbol = pyxb.binding.content.ElementUse(CTD_ANON_._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Variant')), pyxb.utils.utility.Location('ClaML.xsd', 44, 16)) st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_0) transitions = [] transitions.append(fac.Transition(st_0, [ ])) st_0._set_transitionSet(transitions) return fac.Automaton(states, counters, False, containing_state=None) CTD_ANON_._Automaton = _BuildAutomaton_() def _BuildAutomaton_2 (): # Remove this helper function from the namespace after it is invoked global _BuildAutomaton_2 del _BuildAutomaton_2 import pyxb.utils.fac as fac counters = set() states = [] return fac.Automaton(states, counters, True, containing_state=None) CTD_ANON_2._Automaton = _BuildAutomaton_2() def _BuildAutomaton_3 (): # Remove this helper function from the namespace after it is invoked global _BuildAutomaton_3 del _BuildAutomaton_3 import pyxb.utils.fac as fac counters = set() states = [] return fac.Automaton(states, counters, True, containing_state=None) CTD_ANON_5._Automaton = _BuildAutomaton_3() CTD_ANON_6._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Author'), CTD_ANON_7, scope=CTD_ANON_6, location=pyxb.utils.utility.Location('ClaML.xsd', 80, 4))) def _BuildAutomaton_4 (): # Remove this helper function from the namespace after it is invoked global _BuildAutomaton_4 del _BuildAutomaton_4 import pyxb.utils.fac as fac counters = set() cc_0 = fac.CounterCondition(min=0, max=None, metadata=pyxb.utils.utility.Location('ClaML.xsd', 76, 16)) counters.add(cc_0) states = [] final_update = set() final_update.add(fac.UpdateInstruction(cc_0, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_6._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Author')), pyxb.utils.utility.Location('ClaML.xsd', 76, 16)) st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_0) transitions = [] transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_0, True) ])) st_0._set_transitionSet(transitions) return fac.Automaton(states, counters, True, containing_state=None) CTD_ANON_6._Automaton = _BuildAutomaton_4() def _BuildAutomaton_5 (): # Remove this helper function from the namespace after it is invoked global _BuildAutomaton_5 del _BuildAutomaton_5 import pyxb.utils.fac as fac counters = set() states = [] return fac.Automaton(states, counters, True, containing_state=None) CTD_ANON_7._Automaton = _BuildAutomaton_5() CTD_ANON_8._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'ClassKind'), CTD_ANON_11, scope=CTD_ANON_8, location=pyxb.utils.utility.Location('ClaML.xsd', 106, 4))) def _BuildAutomaton_6 (): # Remove this helper function from the namespace after it is invoked global _BuildAutomaton_6 del _BuildAutomaton_6 import pyxb.utils.fac as fac counters = set() states = [] final_update = set() symbol = pyxb.binding.content.ElementUse(CTD_ANON_8._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'ClassKind')), pyxb.utils.utility.Location('ClaML.xsd', 88, 16)) st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_0) transitions = [] transitions.append(fac.Transition(st_0, [ ])) st_0._set_transitionSet(transitions) return fac.Automaton(states, counters, False, containing_state=None) CTD_ANON_8._Automaton = _BuildAutomaton_6() CTD_ANON_9._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'RubricKind'), CTD_ANON_38, scope=CTD_ANON_9, location=pyxb.utils.utility.Location('ClaML.xsd', 114, 4))) def _BuildAutomaton_7 (): # Remove this helper function from the namespace after it is invoked global _BuildAutomaton_7 del _BuildAutomaton_7 import pyxb.utils.fac as fac counters = set() states = [] final_update = set() symbol = pyxb.binding.content.ElementUse(CTD_ANON_9._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'RubricKind')), pyxb.utils.utility.Location('ClaML.xsd', 95, 16)) st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_0) transitions = [] transitions.append(fac.Transition(st_0, [ ])) st_0._set_transitionSet(transitions) return fac.Automaton(states, counters, False, containing_state=None) CTD_ANON_9._Automaton = _BuildAutomaton_7() CTD_ANON_10._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'UsageKind'), CTD_ANON_12, scope=CTD_ANON_10, location=pyxb.utils.utility.Location('ClaML.xsd', 130, 4))) def _BuildAutomaton_8 (): # Remove this helper function from the namespace after it is invoked global _BuildAutomaton_8 del _BuildAutomaton_8 import pyxb.utils.fac as fac counters = set() states = [] final_update = set() symbol = pyxb.binding.content.ElementUse(CTD_ANON_10._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'UsageKind')), pyxb.utils.utility.Location('ClaML.xsd', 102, 16)) st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_0) transitions = [] transitions.append(fac.Transition(st_0, [ ])) st_0._set_transitionSet(transitions) return fac.Automaton(states, counters, False, containing_state=None) CTD_ANON_10._Automaton = _BuildAutomaton_8() CTD_ANON_11._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Display'), CTD_ANON_13, scope=CTD_ANON_11, location=pyxb.utils.utility.Location('ClaML.xsd', 136, 4))) def _BuildAutomaton_9 (): # Remove this helper function from the namespace after it is invoked global _BuildAutomaton_9 del _BuildAutomaton_9 import pyxb.utils.fac as fac counters = set() cc_0 = fac.CounterCondition(min=0, max=None, metadata=pyxb.utils.utility.Location('ClaML.xsd', 109, 16)) counters.add(cc_0) states = [] final_update = set() final_update.add(fac.UpdateInstruction(cc_0, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_11._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Display')), pyxb.utils.utility.Location('ClaML.xsd', 109, 16)) st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_0) transitions = [] transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_0, True) ])) st_0._set_transitionSet(transitions) return fac.Automaton(states, counters, True, containing_state=None) CTD_ANON_11._Automaton = _BuildAutomaton_9() def _BuildAutomaton_10 (): # Remove this helper function from the namespace after it is invoked global _BuildAutomaton_10 del _BuildAutomaton_10 import pyxb.utils.fac as fac counters = set() states = [] return fac.Automaton(states, counters, True, containing_state=None) CTD_ANON_13._Automaton = _BuildAutomaton_10() CTD_ANON_14._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Meta'), CTD_ANON_3, scope=CTD_ANON_14, location=pyxb.utils.utility.Location('ClaML.xsd', 53, 4))) CTD_ANON_14._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Rubric'), CTD_ANON_19, scope=CTD_ANON_14, location=pyxb.utils.utility.Location('ClaML.xsd', 217, 4))) CTD_ANON_14._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'History'), CTD_ANON_21, scope=CTD_ANON_14, location=pyxb.utils.utility.Location('ClaML.xsd', 236, 4))) CTD_ANON_14._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'SubClass'), CTD_ANON_23, scope=CTD_ANON_14, location=pyxb.utils.utility.Location('ClaML.xsd', 248, 4))) def _BuildAutomaton_11 (): # Remove this helper function from the namespace after it is invoked global _BuildAutomaton_11 del _BuildAutomaton_11 import pyxb.utils.fac as fac counters = set() cc_0 = fac.CounterCondition(min=0, max=None, metadata=pyxb.utils.utility.Location('ClaML.xsd', 145, 16)) counters.add(cc_0) cc_1 = fac.CounterCondition(min=0, max=None, metadata=pyxb.utils.utility.Location('ClaML.xsd', 146, 16)) counters.add(cc_1) cc_2 = fac.CounterCondition(min=0, max=None, metadata=pyxb.utils.utility.Location('ClaML.xsd', 147, 16)) counters.add(cc_2) cc_3 = fac.CounterCondition(min=0, max=None, metadata=pyxb.utils.utility.Location('ClaML.xsd', 148, 16)) counters.add(cc_3) states = [] final_update = set() final_update.add(fac.UpdateInstruction(cc_0, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_14._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Meta')), pyxb.utils.utility.Location('ClaML.xsd', 145, 16)) st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_0) final_update = set() final_update.add(fac.UpdateInstruction(cc_1, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_14._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'SubClass')), pyxb.utils.utility.Location('ClaML.xsd', 146, 16)) st_1 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_1) final_update = set() final_update.add(fac.UpdateInstruction(cc_2, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_14._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Rubric')), pyxb.utils.utility.Location('ClaML.xsd', 147, 16)) st_2 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_2) final_update = set() final_update.add(fac.UpdateInstruction(cc_3, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_14._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'History')), pyxb.utils.utility.Location('ClaML.xsd', 148, 16)) st_3 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_3) transitions = [] transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_0, False) ])) transitions.append(fac.Transition(st_2, [ fac.UpdateInstruction(cc_0, False) ])) transitions.append(fac.Transition(st_3, [ fac.UpdateInstruction(cc_0, False) ])) st_0._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_1, True) ])) transitions.append(fac.Transition(st_2, [ fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_3, [ fac.UpdateInstruction(cc_1, False) ])) st_1._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_2, [ fac.UpdateInstruction(cc_2, True) ])) transitions.append(fac.Transition(st_3, [ fac.UpdateInstruction(cc_2, False) ])) st_2._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_3, [ fac.UpdateInstruction(cc_3, True) ])) st_3._set_transitionSet(transitions) return fac.Automaton(states, counters, True, containing_state=None) CTD_ANON_14._Automaton = _BuildAutomaton_11() CTD_ANON_15._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Meta'), CTD_ANON_3, scope=CTD_ANON_15, location=pyxb.utils.utility.Location('ClaML.xsd', 53, 4))) CTD_ANON_15._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Rubric'), CTD_ANON_19, scope=CTD_ANON_15, location=pyxb.utils.utility.Location('ClaML.xsd', 217, 4))) CTD_ANON_15._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'History'), CTD_ANON_21, scope=CTD_ANON_15, location=pyxb.utils.utility.Location('ClaML.xsd', 236, 4))) CTD_ANON_15._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'SuperClass'), CTD_ANON_22, scope=CTD_ANON_15, location=pyxb.utils.utility.Location('ClaML.xsd', 242, 4))) CTD_ANON_15._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'SubClass'), CTD_ANON_23, scope=CTD_ANON_15, location=pyxb.utils.utility.Location('ClaML.xsd', 248, 4))) def _BuildAutomaton_12 (): # Remove this helper function from the namespace after it is invoked global _BuildAutomaton_12 del _BuildAutomaton_12 import pyxb.utils.fac as fac counters = set() cc_0 = fac.CounterCondition(min=0, max=None, metadata=pyxb.utils.utility.Location('ClaML.xsd', 157, 16)) counters.add(cc_0) cc_1 = fac.CounterCondition(min=0, max=None, metadata=pyxb.utils.utility.Location('ClaML.xsd', 159, 16)) counters.add(cc_1) cc_2 = fac.CounterCondition(min=0, max=None, metadata=pyxb.utils.utility.Location('ClaML.xsd', 160, 16)) counters.add(cc_2) cc_3 = fac.CounterCondition(min=0, max=None, metadata=pyxb.utils.utility.Location('ClaML.xsd', 161, 16)) counters.add(cc_3) states = [] final_update = None symbol = pyxb.binding.content.ElementUse(CTD_ANON_15._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Meta')), pyxb.utils.utility.Location('ClaML.xsd', 157, 16)) st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_0) final_update = set() symbol = pyxb.binding.content.ElementUse(CTD_ANON_15._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'SuperClass')), pyxb.utils.utility.Location('ClaML.xsd', 158, 16)) st_1 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_1) final_update = set() final_update.add(fac.UpdateInstruction(cc_1, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_15._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'SubClass')), pyxb.utils.utility.Location('ClaML.xsd', 159, 16)) st_2 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False) states.append(st_2) final_update = set() final_update.add(fac.UpdateInstruction(cc_2, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_15._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Rubric')), pyxb.utils.utility.Location('ClaML.xsd', 160, 16)) st_3 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False) states.append(st_3) final_update = set() final_update.add(fac.UpdateInstruction(cc_3, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_15._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'History')), pyxb.utils.utility.Location('ClaML.xsd', 161, 16)) st_4 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False) states.append(st_4) transitions = [] transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_0, False) ])) st_0._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_2, [ ])) transitions.append(fac.Transition(st_3, [ ])) transitions.append(fac.Transition(st_4, [ ])) st_1._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_2, [ fac.UpdateInstruction(cc_1, True) ])) transitions.append(fac.Transition(st_3, [ fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_4, [ fac.UpdateInstruction(cc_1, False) ])) st_2._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_3, [ fac.UpdateInstruction(cc_2, True) ])) transitions.append(fac.Transition(st_4, [ fac.UpdateInstruction(cc_2, False) ])) st_3._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_4, [ fac.UpdateInstruction(cc_3, True) ])) st_4._set_transitionSet(transitions) return fac.Automaton(states, counters, False, containing_state=None) CTD_ANON_15._Automaton = _BuildAutomaton_12() CTD_ANON_16._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Meta'), CTD_ANON_3, scope=CTD_ANON_16, location=pyxb.utils.utility.Location('ClaML.xsd', 53, 4))) CTD_ANON_16._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'ModifiedBy'), CTD_ANON_39, scope=CTD_ANON_16, location=pyxb.utils.utility.Location('ClaML.xsd', 186, 4))) CTD_ANON_16._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'ExcludeModifier'), CTD_ANON_17, scope=CTD_ANON_16, location=pyxb.utils.utility.Location('ClaML.xsd', 205, 4))) CTD_ANON_16._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Rubric'), CTD_ANON_19, scope=CTD_ANON_16, location=pyxb.utils.utility.Location('ClaML.xsd', 217, 4))) CTD_ANON_16._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'History'), CTD_ANON_21, scope=CTD_ANON_16, location=pyxb.utils.utility.Location('ClaML.xsd', 236, 4))) CTD_ANON_16._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'SuperClass'), CTD_ANON_22, scope=CTD_ANON_16, location=pyxb.utils.utility.Location('ClaML.xsd', 242, 4))) CTD_ANON_16._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'SubClass'), CTD_ANON_23, scope=CTD_ANON_16, location=pyxb.utils.utility.Location('ClaML.xsd', 248, 4))) def _BuildAutomaton_13 (): # Remove this helper function from the namespace after it is invoked global _BuildAutomaton_13 del _BuildAutomaton_13 import pyxb.utils.fac as fac counters = set() cc_0 = fac.CounterCondition(min=0, max=None, metadata=pyxb.utils.utility.Location('ClaML.xsd', 172, 16)) counters.add(cc_0) cc_1 = fac.CounterCondition(min=0, max=None, metadata=pyxb.utils.utility.Location('ClaML.xsd', 173, 16)) counters.add(cc_1) cc_2 = fac.CounterCondition(min=0, max=None, metadata=pyxb.utils.utility.Location('ClaML.xsd', 174, 16)) counters.add(cc_2) cc_3 = fac.CounterCondition(min=0, max=None, metadata=pyxb.utils.utility.Location('ClaML.xsd', 175, 16)) counters.add(cc_3) cc_4 = fac.CounterCondition(min=0, max=None, metadata=pyxb.utils.utility.Location('ClaML.xsd', 176, 16)) counters.add(cc_4) cc_5 = fac.CounterCondition(min=0, max=None, metadata=pyxb.utils.utility.Location('ClaML.xsd', 177, 16)) counters.add(cc_5) cc_6 = fac.CounterCondition(min=0, max=None, metadata=pyxb.utils.utility.Location('ClaML.xsd', 178, 16)) counters.add(cc_6) states = [] final_update = set() final_update.add(fac.UpdateInstruction(cc_0, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_16._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Meta')), pyxb.utils.utility.Location('ClaML.xsd', 172, 16)) st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_0) final_update = set() final_update.add(fac.UpdateInstruction(cc_1, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_16._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'SuperClass')), pyxb.utils.utility.Location('ClaML.xsd', 173, 16)) st_1 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_1) final_update = set() final_update.add(fac.UpdateInstruction(cc_2, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_16._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'SubClass')), pyxb.utils.utility.Location('ClaML.xsd', 174, 16)) st_2 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_2) final_update = set() final_update.add(fac.UpdateInstruction(cc_3, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_16._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'ModifiedBy')), pyxb.utils.utility.Location('ClaML.xsd', 175, 16)) st_3 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_3) final_update = set() final_update.add(fac.UpdateInstruction(cc_4, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_16._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'ExcludeModifier')), pyxb.utils.utility.Location('ClaML.xsd', 176, 16)) st_4 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_4) final_update = set() final_update.add(fac.UpdateInstruction(cc_5, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_16._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Rubric')), pyxb.utils.utility.Location('ClaML.xsd', 177, 16)) st_5 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_5) final_update = set() final_update.add(fac.UpdateInstruction(cc_6, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_16._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'History')), pyxb.utils.utility.Location('ClaML.xsd', 178, 16)) st_6 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_6) transitions = [] transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_0, False) ])) transitions.append(fac.Transition(st_2, [ fac.UpdateInstruction(cc_0, False) ])) transitions.append(fac.Transition(st_3, [ fac.UpdateInstruction(cc_0, False) ])) transitions.append(fac.Transition(st_4, [ fac.UpdateInstruction(cc_0, False) ])) transitions.append(fac.Transition(st_5, [ fac.UpdateInstruction(cc_0, False) ])) transitions.append(fac.Transition(st_6, [ fac.UpdateInstruction(cc_0, False) ])) st_0._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_1, True) ])) transitions.append(fac.Transition(st_2, [ fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_3, [ fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_4, [ fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_5, [ fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_6, [ fac.UpdateInstruction(cc_1, False) ])) st_1._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_2, [ fac.UpdateInstruction(cc_2, True) ])) transitions.append(fac.Transition(st_3, [ fac.UpdateInstruction(cc_2, False) ])) transitions.append(fac.Transition(st_4, [ fac.UpdateInstruction(cc_2, False) ])) transitions.append(fac.Transition(st_5, [ fac.UpdateInstruction(cc_2, False) ])) transitions.append(fac.Transition(st_6, [ fac.UpdateInstruction(cc_2, False) ])) st_2._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_3, [ fac.UpdateInstruction(cc_3, True) ])) transitions.append(fac.Transition(st_4, [ fac.UpdateInstruction(cc_3, False) ])) transitions.append(fac.Transition(st_5, [ fac.UpdateInstruction(cc_3, False) ])) transitions.append(fac.Transition(st_6, [ fac.UpdateInstruction(cc_3, False) ])) st_3._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_4, [ fac.UpdateInstruction(cc_4, True) ])) transitions.append(fac.Transition(st_5, [ fac.UpdateInstruction(cc_4, False) ])) transitions.append(fac.Transition(st_6, [ fac.UpdateInstruction(cc_4, False) ])) st_4._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_5, [ fac.UpdateInstruction(cc_5, True) ])) transitions.append(fac.Transition(st_6, [ fac.UpdateInstruction(cc_5, False) ])) st_5._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_6, [ fac.UpdateInstruction(cc_6, True) ])) st_6._set_transitionSet(transitions) return fac.Automaton(states, counters, True, containing_state=None) CTD_ANON_16._Automaton = _BuildAutomaton_13() CTD_ANON_19._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Label'), CTD_ANON_20, scope=CTD_ANON_19, location=pyxb.utils.utility.Location('ClaML.xsd', 228, 4))) CTD_ANON_19._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'History'), CTD_ANON_21, scope=CTD_ANON_19, location=pyxb.utils.utility.Location('ClaML.xsd', 236, 4))) def _BuildAutomaton_14 (): # Remove this helper function from the namespace after it is invoked global _BuildAutomaton_14 del _BuildAutomaton_14 import pyxb.utils.fac as fac counters = set() cc_0 = fac.CounterCondition(min=0, max=None, metadata=pyxb.utils.utility.Location('ClaML.xsd', 221, 16)) counters.add(cc_0) states = [] final_update = set() symbol = pyxb.binding.content.ElementUse(CTD_ANON_19._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Label')), pyxb.utils.utility.Location('ClaML.xsd', 220, 16)) st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_0) final_update = set() final_update.add(fac.UpdateInstruction(cc_0, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_19._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'History')), pyxb.utils.utility.Location('ClaML.xsd', 221, 16)) st_1 = fac.State(symbol, is_initial=False, final_update=final_update, is_unordered_catenation=False) states.append(st_1) transitions = [] transitions.append(fac.Transition(st_0, [ ])) transitions.append(fac.Transition(st_1, [ ])) st_0._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_0, True) ])) st_1._set_transitionSet(transitions) return fac.Automaton(states, counters, False, containing_state=None) CTD_ANON_19._Automaton = _BuildAutomaton_14() CTD_ANON_20._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Reference'), CTD_ANON_24, scope=CTD_ANON_20, location=pyxb.utils.utility.Location('ClaML.xsd', 254, 4))) CTD_ANON_20._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Para'), CTD_ANON_25, scope=CTD_ANON_20, location=pyxb.utils.utility.Location('ClaML.xsd', 264, 4))) CTD_ANON_20._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Fragment'), CTD_ANON_40, scope=CTD_ANON_20, location=pyxb.utils.utility.Location('ClaML.xsd', 270, 4))) CTD_ANON_20._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Include'), CTD_ANON_26, scope=CTD_ANON_20, location=pyxb.utils.utility.Location('ClaML.xsd', 285, 4))) CTD_ANON_20._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'IncludeDescendants'), CTD_ANON_27, scope=CTD_ANON_20, location=pyxb.utils.utility.Location('ClaML.xsd', 291, 4))) CTD_ANON_20._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'List'), CTD_ANON_28, scope=CTD_ANON_20, location=pyxb.utils.utility.Location('ClaML.xsd', 297, 4))) CTD_ANON_20._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Table'), CTD_ANON_30, scope=CTD_ANON_20, location=pyxb.utils.utility.Location('ClaML.xsd', 317, 4))) CTD_ANON_20._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Term'), CTD_ANON_37, scope=CTD_ANON_20, location=pyxb.utils.utility.Location('ClaML.xsd', 380, 4))) def _BuildAutomaton_15 (): # Remove this helper function from the namespace after it is invoked global _BuildAutomaton_15 del _BuildAutomaton_15 import pyxb.utils.fac as fac counters = set() cc_0 = fac.CounterCondition(min=0, max=None, metadata=pyxb.utils.utility.Location('ClaML.xsd', 230, 12)) counters.add(cc_0) cc_1 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('ClaML.xsd', 6, 12)) counters.add(cc_1) states = [] final_update = set() final_update.add(fac.UpdateInstruction(cc_0, False)) final_update.add(fac.UpdateInstruction(cc_1, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_20._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Reference')), pyxb.utils.utility.Location('ClaML.xsd', 7, 16)) st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_0) final_update = set() final_update.add(fac.UpdateInstruction(cc_0, False)) final_update.add(fac.UpdateInstruction(cc_1, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_20._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Term')), pyxb.utils.utility.Location('ClaML.xsd', 8, 16)) st_1 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_1) final_update = set() final_update.add(fac.UpdateInstruction(cc_0, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_20._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Para')), pyxb.utils.utility.Location('ClaML.xsd', 15, 12)) st_2 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_2) final_update = set() final_update.add(fac.UpdateInstruction(cc_0, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_20._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Include')), pyxb.utils.utility.Location('ClaML.xsd', 16, 12)) st_3 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_3) final_update = set() final_update.add(fac.UpdateInstruction(cc_0, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_20._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'IncludeDescendants')), pyxb.utils.utility.Location('ClaML.xsd', 17, 12)) st_4 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_4) final_update = set() final_update.add(fac.UpdateInstruction(cc_0, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_20._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Fragment')), pyxb.utils.utility.Location('ClaML.xsd', 18, 12)) st_5 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_5) final_update = set() final_update.add(fac.UpdateInstruction(cc_0, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_20._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'List')), pyxb.utils.utility.Location('ClaML.xsd', 19, 12)) st_6 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_6) final_update = set() final_update.add(fac.UpdateInstruction(cc_0, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_20._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Table')), pyxb.utils.utility.Location('ClaML.xsd', 20, 12)) st_7 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_7) transitions = [] transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_1, True) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_1, True) ])) transitions.append(fac.Transition(st_2, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_3, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_4, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_5, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_6, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_7, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) st_0._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_1, True) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_1, True) ])) transitions.append(fac.Transition(st_2, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_3, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_4, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_5, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_6, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_7, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) st_1._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_2, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_3, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_4, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_5, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_6, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_7, [ fac.UpdateInstruction(cc_0, True) ])) st_2._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_2, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_3, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_4, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_5, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_6, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_7, [ fac.UpdateInstruction(cc_0, True) ])) st_3._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_2, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_3, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_4, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_5, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_6, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_7, [ fac.UpdateInstruction(cc_0, True) ])) st_4._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_2, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_3, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_4, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_5, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_6, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_7, [ fac.UpdateInstruction(cc_0, True) ])) st_5._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_2, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_3, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_4, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_5, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_6, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_7, [ fac.UpdateInstruction(cc_0, True) ])) st_6._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_2, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_3, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_4, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_5, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_6, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_7, [ fac.UpdateInstruction(cc_0, True) ])) st_7._set_transitionSet(transitions) return fac.Automaton(states, counters, True, containing_state=None) CTD_ANON_20._Automaton = _BuildAutomaton_15() def _BuildAutomaton_16 (): # Remove this helper function from the namespace after it is invoked global _BuildAutomaton_16 del _BuildAutomaton_16 import pyxb.utils.fac as fac counters = set() states = [] return fac.Automaton(states, counters, True, containing_state=None) CTD_ANON_21._Automaton = _BuildAutomaton_16() def _BuildAutomaton_17 (): # Remove this helper function from the namespace after it is invoked global _BuildAutomaton_17 del _BuildAutomaton_17 import pyxb.utils.fac as fac counters = set() states = [] return fac.Automaton(states, counters, True, containing_state=None) CTD_ANON_24._Automaton = _BuildAutomaton_17() CTD_ANON_25._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Reference'), CTD_ANON_24, scope=CTD_ANON_25, location=pyxb.utils.utility.Location('ClaML.xsd', 254, 4))) CTD_ANON_25._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Term'), CTD_ANON_37, scope=CTD_ANON_25, location=pyxb.utils.utility.Location('ClaML.xsd', 380, 4))) def _BuildAutomaton_18 (): # Remove this helper function from the namespace after it is invoked global _BuildAutomaton_18 del _BuildAutomaton_18 import pyxb.utils.fac as fac counters = set() cc_0 = fac.CounterCondition(min=0, max=None, metadata=pyxb.utils.utility.Location('ClaML.xsd', 266, 12)) counters.add(cc_0) cc_1 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('ClaML.xsd', 6, 12)) counters.add(cc_1) states = [] final_update = set() final_update.add(fac.UpdateInstruction(cc_0, False)) final_update.add(fac.UpdateInstruction(cc_1, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_25._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Reference')), pyxb.utils.utility.Location('ClaML.xsd', 7, 16)) st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_0) final_update = set() final_update.add(fac.UpdateInstruction(cc_0, False)) final_update.add(fac.UpdateInstruction(cc_1, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_25._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Term')), pyxb.utils.utility.Location('ClaML.xsd', 8, 16)) st_1 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_1) transitions = [] transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_1, True) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_1, True) ])) st_0._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_1, True) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_1, True) ])) st_1._set_transitionSet(transitions) return fac.Automaton(states, counters, True, containing_state=None) CTD_ANON_25._Automaton = _BuildAutomaton_18() CTD_ANON_28._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'ListItem'), CTD_ANON_29, scope=CTD_ANON_28, location=pyxb.utils.utility.Location('ClaML.xsd', 305, 4))) def _BuildAutomaton_19 (): # Remove this helper function from the namespace after it is invoked global _BuildAutomaton_19 del _BuildAutomaton_19 import pyxb.utils.fac as fac counters = set() states = [] final_update = set() symbol = pyxb.binding.content.ElementUse(CTD_ANON_28._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'ListItem')), pyxb.utils.utility.Location('ClaML.xsd', 300, 16)) st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_0) transitions = [] transitions.append(fac.Transition(st_0, [ ])) st_0._set_transitionSet(transitions) return fac.Automaton(states, counters, False, containing_state=None) CTD_ANON_28._Automaton = _BuildAutomaton_19() CTD_ANON_29._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Reference'), CTD_ANON_24, scope=CTD_ANON_29, location=pyxb.utils.utility.Location('ClaML.xsd', 254, 4))) CTD_ANON_29._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Para'), CTD_ANON_25, scope=CTD_ANON_29, location=pyxb.utils.utility.Location('ClaML.xsd', 264, 4))) CTD_ANON_29._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Include'), CTD_ANON_26, scope=CTD_ANON_29, location=pyxb.utils.utility.Location('ClaML.xsd', 285, 4))) CTD_ANON_29._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'List'), CTD_ANON_28, scope=CTD_ANON_29, location=pyxb.utils.utility.Location('ClaML.xsd', 297, 4))) CTD_ANON_29._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Table'), CTD_ANON_30, scope=CTD_ANON_29, location=pyxb.utils.utility.Location('ClaML.xsd', 317, 4))) CTD_ANON_29._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Term'), CTD_ANON_37, scope=CTD_ANON_29, location=pyxb.utils.utility.Location('ClaML.xsd', 380, 4))) def _BuildAutomaton_20 (): # Remove this helper function from the namespace after it is invoked global _BuildAutomaton_20 del _BuildAutomaton_20 import pyxb.utils.fac as fac counters = set() cc_0 = fac.CounterCondition(min=0, max=None, metadata=pyxb.utils.utility.Location('ClaML.xsd', 307, 12)) counters.add(cc_0) cc_1 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('ClaML.xsd', 6, 12)) counters.add(cc_1) states = [] final_update = set() final_update.add(fac.UpdateInstruction(cc_0, False)) final_update.add(fac.UpdateInstruction(cc_1, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_29._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Reference')), pyxb.utils.utility.Location('ClaML.xsd', 7, 16)) st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_0) final_update = set() final_update.add(fac.UpdateInstruction(cc_0, False)) final_update.add(fac.UpdateInstruction(cc_1, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_29._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Term')), pyxb.utils.utility.Location('ClaML.xsd', 8, 16)) st_1 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_1) final_update = set() final_update.add(fac.UpdateInstruction(cc_0, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_29._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Para')), pyxb.utils.utility.Location('ClaML.xsd', 309, 16)) st_2 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_2) final_update = set() final_update.add(fac.UpdateInstruction(cc_0, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_29._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Include')), pyxb.utils.utility.Location('ClaML.xsd', 310, 16)) st_3 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_3) final_update = set() final_update.add(fac.UpdateInstruction(cc_0, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_29._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'List')), pyxb.utils.utility.Location('ClaML.xsd', 311, 16)) st_4 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_4) final_update = set() final_update.add(fac.UpdateInstruction(cc_0, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_29._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Table')), pyxb.utils.utility.Location('ClaML.xsd', 312, 16)) st_5 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_5) transitions = [] transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_1, True) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_1, True) ])) transitions.append(fac.Transition(st_2, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_3, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_4, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_5, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) st_0._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_1, True) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_1, True) ])) transitions.append(fac.Transition(st_2, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_3, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_4, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_5, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) st_1._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_2, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_3, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_4, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_5, [ fac.UpdateInstruction(cc_0, True) ])) st_2._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_2, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_3, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_4, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_5, [ fac.UpdateInstruction(cc_0, True) ])) st_3._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_2, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_3, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_4, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_5, [ fac.UpdateInstruction(cc_0, True) ])) st_4._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_2, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_3, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_4, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_5, [ fac.UpdateInstruction(cc_0, True) ])) st_5._set_transitionSet(transitions) return fac.Automaton(states, counters, True, containing_state=None) CTD_ANON_29._Automaton = _BuildAutomaton_20() CTD_ANON_30._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Caption'), CTD_ANON_31, scope=CTD_ANON_30, location=pyxb.utils.utility.Location('ClaML.xsd', 328, 4))) CTD_ANON_30._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'THead'), CTD_ANON_32, scope=CTD_ANON_30, location=pyxb.utils.utility.Location('ClaML.xsd', 334, 4))) CTD_ANON_30._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'TBody'), CTD_ANON_33, scope=CTD_ANON_30, location=pyxb.utils.utility.Location('ClaML.xsd', 342, 4))) CTD_ANON_30._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'TFoot'), CTD_ANON_34, scope=CTD_ANON_30, location=pyxb.utils.utility.Location('ClaML.xsd', 350, 4))) def _BuildAutomaton_21 (): # Remove this helper function from the namespace after it is invoked global _BuildAutomaton_21 del _BuildAutomaton_21 import pyxb.utils.fac as fac counters = set() cc_0 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('ClaML.xsd', 320, 16)) counters.add(cc_0) cc_1 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('ClaML.xsd', 321, 16)) counters.add(cc_1) cc_2 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('ClaML.xsd', 322, 16)) counters.add(cc_2) cc_3 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('ClaML.xsd', 323, 16)) counters.add(cc_3) states = [] final_update = set() final_update.add(fac.UpdateInstruction(cc_0, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_30._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Caption')), pyxb.utils.utility.Location('ClaML.xsd', 320, 16)) st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_0) final_update = set() final_update.add(fac.UpdateInstruction(cc_1, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_30._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'THead')), pyxb.utils.utility.Location('ClaML.xsd', 321, 16)) st_1 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_1) final_update = set() final_update.add(fac.UpdateInstruction(cc_2, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_30._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'TBody')), pyxb.utils.utility.Location('ClaML.xsd', 322, 16)) st_2 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_2) final_update = set() final_update.add(fac.UpdateInstruction(cc_3, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_30._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'TFoot')), pyxb.utils.utility.Location('ClaML.xsd', 323, 16)) st_3 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_3) transitions = [] transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_0, False) ])) transitions.append(fac.Transition(st_2, [ fac.UpdateInstruction(cc_0, False) ])) transitions.append(fac.Transition(st_3, [ fac.UpdateInstruction(cc_0, False) ])) st_0._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_1, True) ])) transitions.append(fac.Transition(st_2, [ fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_3, [ fac.UpdateInstruction(cc_1, False) ])) st_1._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_2, [ fac.UpdateInstruction(cc_2, True) ])) transitions.append(fac.Transition(st_3, [ fac.UpdateInstruction(cc_2, False) ])) st_2._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_3, [ fac.UpdateInstruction(cc_3, True) ])) st_3._set_transitionSet(transitions) return fac.Automaton(states, counters, True, containing_state=None) CTD_ANON_30._Automaton = _BuildAutomaton_21() CTD_ANON_31._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Reference'), CTD_ANON_24, scope=CTD_ANON_31, location=pyxb.utils.utility.Location('ClaML.xsd', 254, 4))) CTD_ANON_31._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Term'), CTD_ANON_37, scope=CTD_ANON_31, location=pyxb.utils.utility.Location('ClaML.xsd', 380, 4))) def _BuildAutomaton_22 (): # Remove this helper function from the namespace after it is invoked global _BuildAutomaton_22 del _BuildAutomaton_22 import pyxb.utils.fac as fac counters = set() cc_0 = fac.CounterCondition(min=0, max=None, metadata=pyxb.utils.utility.Location('ClaML.xsd', 330, 12)) counters.add(cc_0) cc_1 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('ClaML.xsd', 6, 12)) counters.add(cc_1) states = [] final_update = set() final_update.add(fac.UpdateInstruction(cc_0, False)) final_update.add(fac.UpdateInstruction(cc_1, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_31._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Reference')), pyxb.utils.utility.Location('ClaML.xsd', 7, 16)) st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_0) final_update = set() final_update.add(fac.UpdateInstruction(cc_0, False)) final_update.add(fac.UpdateInstruction(cc_1, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_31._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Term')), pyxb.utils.utility.Location('ClaML.xsd', 8, 16)) st_1 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_1) transitions = [] transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_1, True) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_1, True) ])) st_0._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_1, True) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_1, True) ])) st_1._set_transitionSet(transitions) return fac.Automaton(states, counters, True, containing_state=None) CTD_ANON_31._Automaton = _BuildAutomaton_22() CTD_ANON_32._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Row'), CTD_ANON_35, scope=CTD_ANON_32, location=pyxb.utils.utility.Location('ClaML.xsd', 358, 4))) def _BuildAutomaton_23 (): # Remove this helper function from the namespace after it is invoked global _BuildAutomaton_23 del _BuildAutomaton_23 import pyxb.utils.fac as fac counters = set() states = [] final_update = set() symbol = pyxb.binding.content.ElementUse(CTD_ANON_32._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Row')), pyxb.utils.utility.Location('ClaML.xsd', 337, 16)) st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_0) transitions = [] transitions.append(fac.Transition(st_0, [ ])) st_0._set_transitionSet(transitions) return fac.Automaton(states, counters, False, containing_state=None) CTD_ANON_32._Automaton = _BuildAutomaton_23() CTD_ANON_33._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Row'), CTD_ANON_35, scope=CTD_ANON_33, location=pyxb.utils.utility.Location('ClaML.xsd', 358, 4))) def _BuildAutomaton_24 (): # Remove this helper function from the namespace after it is invoked global _BuildAutomaton_24 del _BuildAutomaton_24 import pyxb.utils.fac as fac counters = set() states = [] final_update = set() symbol = pyxb.binding.content.ElementUse(CTD_ANON_33._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Row')), pyxb.utils.utility.Location('ClaML.xsd', 345, 16)) st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_0) transitions = [] transitions.append(fac.Transition(st_0, [ ])) st_0._set_transitionSet(transitions) return fac.Automaton(states, counters, False, containing_state=None) CTD_ANON_33._Automaton = _BuildAutomaton_24() CTD_ANON_34._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Row'), CTD_ANON_35, scope=CTD_ANON_34, location=pyxb.utils.utility.Location('ClaML.xsd', 358, 4))) def _BuildAutomaton_25 (): # Remove this helper function from the namespace after it is invoked global _BuildAutomaton_25 del _BuildAutomaton_25 import pyxb.utils.fac as fac counters = set() states = [] final_update = set() symbol = pyxb.binding.content.ElementUse(CTD_ANON_34._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Row')), pyxb.utils.utility.Location('ClaML.xsd', 353, 16)) st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_0) transitions = [] transitions.append(fac.Transition(st_0, [ ])) st_0._set_transitionSet(transitions) return fac.Automaton(states, counters, False, containing_state=None) CTD_ANON_34._Automaton = _BuildAutomaton_25() CTD_ANON_35._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Cell'), CTD_ANON_36, scope=CTD_ANON_35, location=pyxb.utils.utility.Location('ClaML.xsd', 366, 4))) def _BuildAutomaton_26 (): # Remove this helper function from the namespace after it is invoked global _BuildAutomaton_26 del _BuildAutomaton_26 import pyxb.utils.fac as fac counters = set() cc_0 = fac.CounterCondition(min=0, max=None, metadata=pyxb.utils.utility.Location('ClaML.xsd', 361, 16)) counters.add(cc_0) states = [] final_update = set() final_update.add(fac.UpdateInstruction(cc_0, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_35._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Cell')), pyxb.utils.utility.Location('ClaML.xsd', 361, 16)) st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_0) transitions = [] transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_0, True) ])) st_0._set_transitionSet(transitions) return fac.Automaton(states, counters, True, containing_state=None) CTD_ANON_35._Automaton = _BuildAutomaton_26() CTD_ANON_36._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Reference'), CTD_ANON_24, scope=CTD_ANON_36, location=pyxb.utils.utility.Location('ClaML.xsd', 254, 4))) CTD_ANON_36._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Para'), CTD_ANON_25, scope=CTD_ANON_36, location=pyxb.utils.utility.Location('ClaML.xsd', 264, 4))) CTD_ANON_36._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Include'), CTD_ANON_26, scope=CTD_ANON_36, location=pyxb.utils.utility.Location('ClaML.xsd', 285, 4))) CTD_ANON_36._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'List'), CTD_ANON_28, scope=CTD_ANON_36, location=pyxb.utils.utility.Location('ClaML.xsd', 297, 4))) CTD_ANON_36._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Table'), CTD_ANON_30, scope=CTD_ANON_36, location=pyxb.utils.utility.Location('ClaML.xsd', 317, 4))) CTD_ANON_36._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Term'), CTD_ANON_37, scope=CTD_ANON_36, location=pyxb.utils.utility.Location('ClaML.xsd', 380, 4))) def _BuildAutomaton_27 (): # Remove this helper function from the namespace after it is invoked global _BuildAutomaton_27 del _BuildAutomaton_27 import pyxb.utils.fac as fac counters = set() cc_0 = fac.CounterCondition(min=0, max=None, metadata=pyxb.utils.utility.Location('ClaML.xsd', 368, 12)) counters.add(cc_0) cc_1 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('ClaML.xsd', 6, 12)) counters.add(cc_1) states = [] final_update = set() final_update.add(fac.UpdateInstruction(cc_0, False)) final_update.add(fac.UpdateInstruction(cc_1, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_36._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Reference')), pyxb.utils.utility.Location('ClaML.xsd', 7, 16)) st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_0) final_update = set() final_update.add(fac.UpdateInstruction(cc_0, False)) final_update.add(fac.UpdateInstruction(cc_1, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_36._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Term')), pyxb.utils.utility.Location('ClaML.xsd', 8, 16)) st_1 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_1) final_update = set() final_update.add(fac.UpdateInstruction(cc_0, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_36._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Para')), pyxb.utils.utility.Location('ClaML.xsd', 370, 16)) st_2 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_2) final_update = set() final_update.add(fac.UpdateInstruction(cc_0, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_36._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Include')), pyxb.utils.utility.Location('ClaML.xsd', 371, 16)) st_3 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_3) final_update = set() final_update.add(fac.UpdateInstruction(cc_0, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_36._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'List')), pyxb.utils.utility.Location('ClaML.xsd', 372, 16)) st_4 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_4) final_update = set() final_update.add(fac.UpdateInstruction(cc_0, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_36._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Table')), pyxb.utils.utility.Location('ClaML.xsd', 373, 16)) st_5 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_5) transitions = [] transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_1, True) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_1, True) ])) transitions.append(fac.Transition(st_2, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_3, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_4, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_5, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) st_0._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_1, True) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_1, True) ])) transitions.append(fac.Transition(st_2, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_3, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_4, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_5, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) st_1._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_2, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_3, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_4, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_5, [ fac.UpdateInstruction(cc_0, True) ])) st_2._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_2, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_3, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_4, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_5, [ fac.UpdateInstruction(cc_0, True) ])) st_3._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_2, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_3, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_4, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_5, [ fac.UpdateInstruction(cc_0, True) ])) st_4._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_2, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_3, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_4, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_5, [ fac.UpdateInstruction(cc_0, True) ])) st_5._set_transitionSet(transitions) return fac.Automaton(states, counters, True, containing_state=None) CTD_ANON_36._Automaton = _BuildAutomaton_27() def _BuildAutomaton_28 (): # Remove this helper function from the namespace after it is invoked global _BuildAutomaton_28 del _BuildAutomaton_28 import pyxb.utils.fac as fac counters = set() states = [] return fac.Automaton(states, counters, True, containing_state=None) CTD_ANON_37._Automaton = _BuildAutomaton_28() CTD_ANON_38._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Display'), CTD_ANON_13, scope=CTD_ANON_38, location=pyxb.utils.utility.Location('ClaML.xsd', 136, 4))) def _BuildAutomaton_29 (): # Remove this helper function from the namespace after it is invoked global _BuildAutomaton_29 del _BuildAutomaton_29 import pyxb.utils.fac as fac counters = set() cc_0 = fac.CounterCondition(min=0, max=None, metadata=pyxb.utils.utility.Location('ClaML.xsd', 117, 16)) counters.add(cc_0) states = [] final_update = set() final_update.add(fac.UpdateInstruction(cc_0, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_38._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Display')), pyxb.utils.utility.Location('ClaML.xsd', 117, 16)) st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_0) transitions = [] transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_0, True) ])) st_0._set_transitionSet(transitions) return fac.Automaton(states, counters, True, containing_state=None) CTD_ANON_38._Automaton = _BuildAutomaton_29() CTD_ANON_39._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Meta'), CTD_ANON_3, scope=CTD_ANON_39, location=pyxb.utils.utility.Location('ClaML.xsd', 53, 4))) CTD_ANON_39._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'ValidModifierClass'), CTD_ANON_18, scope=CTD_ANON_39, location=pyxb.utils.utility.Location('ClaML.xsd', 211, 4))) def _BuildAutomaton_30 (): # Remove this helper function from the namespace after it is invoked global _BuildAutomaton_30 del _BuildAutomaton_30 import pyxb.utils.fac as fac counters = set() cc_0 = fac.CounterCondition(min=0, max=None, metadata=pyxb.utils.utility.Location('ClaML.xsd', 189, 16)) counters.add(cc_0) cc_1 = fac.CounterCondition(min=0, max=None, metadata=pyxb.utils.utility.Location('ClaML.xsd', 190, 16)) counters.add(cc_1) states = [] final_update = set() final_update.add(fac.UpdateInstruction(cc_0, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_39._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Meta')), pyxb.utils.utility.Location('ClaML.xsd', 189, 16)) st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_0) final_update = set() final_update.add(fac.UpdateInstruction(cc_1, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_39._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'ValidModifierClass')), pyxb.utils.utility.Location('ClaML.xsd', 190, 16)) st_1 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_1) transitions = [] transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_0, True) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_0, False) ])) st_0._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_1, True) ])) st_1._set_transitionSet(transitions) return fac.Automaton(states, counters, True, containing_state=None) CTD_ANON_39._Automaton = _BuildAutomaton_30() CTD_ANON_40._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Reference'), CTD_ANON_24, scope=CTD_ANON_40, location=pyxb.utils.utility.Location('ClaML.xsd', 254, 4))) CTD_ANON_40._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'Term'), CTD_ANON_37, scope=CTD_ANON_40, location=pyxb.utils.utility.Location('ClaML.xsd', 380, 4))) def _BuildAutomaton_31 (): # Remove this helper function from the namespace after it is invoked global _BuildAutomaton_31 del _BuildAutomaton_31 import pyxb.utils.fac as fac counters = set() cc_0 = fac.CounterCondition(min=0, max=None, metadata=pyxb.utils.utility.Location('ClaML.xsd', 272, 12)) counters.add(cc_0) cc_1 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('ClaML.xsd', 6, 12)) counters.add(cc_1) states = [] final_update = set() final_update.add(fac.UpdateInstruction(cc_0, False)) final_update.add(fac.UpdateInstruction(cc_1, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_40._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Reference')), pyxb.utils.utility.Location('ClaML.xsd', 7, 16)) st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_0) final_update = set() final_update.add(fac.UpdateInstruction(cc_0, False)) final_update.add(fac.UpdateInstruction(cc_1, False)) symbol = pyxb.binding.content.ElementUse(CTD_ANON_40._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'Term')), pyxb.utils.utility.Location('ClaML.xsd', 8, 16)) st_1 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False) states.append(st_1) transitions = [] transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_1, True) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_1, True) ])) st_0._set_transitionSet(transitions) transitions = [] transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_0, [ fac.UpdateInstruction(cc_1, True) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_0, True), fac.UpdateInstruction(cc_1, False) ])) transitions.append(fac.Transition(st_1, [ fac.UpdateInstruction(cc_1, True) ])) st_1._set_transitionSet(transitions) return fac.Automaton(states, counters, True, containing_state=None) CTD_ANON_40._Automaton = _BuildAutomaton_31()

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194,755

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df65c716b41d51b49b50cf34ea3d10e60c5c0e4a

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Python

src/prefect/tasks/sql_server/sql_server.py

nicolasiltis/prefect

4298105651c2fe02b21013ae8a0468e9e101154d

[ "Apache-2.0" ]

8,633

2019-03-23T17:51:03.000Z

2022-03-31T22:17:42.000Z

src/prefect/tasks/sql_server/sql_server.py

nicolasiltis/prefect

4298105651c2fe02b21013ae8a0468e9e101154d

[ "Apache-2.0" ]

3,903

2019-03-23T19:11:21.000Z

2022-03-31T23:21:23.000Z

src/prefect/tasks/sql_server/sql_server.py

nicolasiltis/prefect

4298105651c2fe02b21013ae8a0468e9e101154d

[ "Apache-2.0" ]

937

2019-03-23T18:49:44.000Z

2022-03-31T21:45:13.000Z

import pyodbc from prefect import Task from prefect.utilities.tasks import defaults_from_attrs class SqlServerExecute(Task): """ Task for executing a query against a SQL Server database. Args: - db_name (str): name of SQL Server database - user (str): user name used to authenticate - host (str): database host address - port (int, optional): port used to connect to SQL Server database, defaults to 1433 if not provided - driver (str, optional): driver used to communicate with SQL Server database - query (str, optional): query to execute against database - data (tuple, optional): values to use in query, must be specified using placeholder in query string - commit (bool, optional): set to True to commit transaction, defaults to false - **kwargs (dict, optional): additional keyword arguments to pass to the Task constructor """ def __init__( self, db_name: str, user: str, host: str, port: int = 1433, driver: str = "ODBC Driver 17 for SQL Server", query: str = None, data: tuple = None, commit: bool = False, **kwargs ): self.db_name = db_name self.user = user self.host = host self.port = port self.driver = driver self.query = query self.data = data self.commit = commit super().__init__(**kwargs) @defaults_from_attrs("query", "data", "commit") def run( self, query: str = None, data: tuple = None, commit: bool = False, password: str = None, ): """ Task run method. Executes a query against SQL Server database. Args: - query (str, optional): query to execute against database - data (tuple, optional): values to use in query, must be specified using placeholder in query string - commit (bool, optional): set to True to commit transaction, defaults to false - password (str): password used to authenticate; should be provided from a `Secret` task Returns: - None Raises: - ValueError: if query parameter is None or a blank string - DatabaseError: if exception occurs when executing the query """ if not query: raise ValueError("A query string must be provided") # connect to database cnxn = pyodbc.connect( driver=self.driver, host=self.host, database=self.db_name, port=self.port, user=self.user, password=password, ) # try to execute query # context manager automatically rolls back failed transactions try: with cnxn.cursor() as cursor: executed = cursor.execute(query, data) if commit: cnxn.commit() else: cnxn.rollback() return executed # ensure connection is closed finally: cnxn.close() class SqlServerExecuteMany(Task): """ Task for executing many queries against a SQL Server database. Args: - db_name (str): name of SQL Server database - user (str): user name used to authenticate - host (str): database host address - port (int, optional): port used to connect to SQL Server database, defaults to 1433 if not provided - driver (str, optional): driver used to communicate with SQL Server database - query (str, optional): query to execute against database - data (tuple, optional): values to use in query, must be specified using placeholder in query string - commit (bool, optional): set to True to commit transaction, defaults to false - **kwargs (dict, optional): additional keyword arguments to pass to the Task constructor """ def __init__( self, db_name: str, user: str, host: str, port: int = 1433, driver: str = "ODBC Driver 17 for SQL Server", query: str = None, data: tuple = None, commit: bool = False, **kwargs ): self.db_name = db_name self.user = user self.host = host self.port = port self.driver = driver self.query = query self.data = data self.commit = commit super().__init__(**kwargs) @defaults_from_attrs("query", "data", "commit") def run( self, query: str = None, data: list = None, commit: bool = False, password: str = None, fast_executemany=False, ): """ Task run method. Executes many queries against SQL Server database. Args: - query (str, optional): query to execute against database - data (List[tuple], optional): list of values to use in query, must be specified using placeholder - commit (bool, optional): set to True to commit transaction, defaults to false - password (str): password used to authenticate; should be provided from a `Secret` task - fast_executemany (bool, optional): sends all params to the DB server in one bundle with the SQL statement. DB executes the SQL against all the params as one DB transaction Returns: - None Raises: - ValueError: if query parameter is None or a blank string - DatabaseError: if exception occurs when executing the query """ if not query: raise ValueError("A query string must be provided") if not data: raise ValueError("A data list must be provided") # connect to database cnxn = pyodbc.connect( driver=self.driver, host=self.host, database=self.db_name, port=self.port, user=self.user, password=password, ) # try to execute query # context manager automatically rolls back failed transactions try: with cnxn.cursor() as cursor: if fast_executemany: cursor.fast_executemany = True executed = cursor.executemany(query, data) if commit: cnxn.commit() else: cnxn.rollback() return executed # ensure connection is closed finally: cnxn.close() class SqlServerFetch(Task): """ Task for fetching results of query from SQL Server database. Args: - db_name (str): name of SQL Server database - user (str): user name used to authenticate - host (str): database host address - port (int, optional): port used to connect to SQL Server database, defaults to 5432 if not provided - driver (str, optional): driver used to communicate with SQL Server database - fetch (str, optional): one of "one" "many" or "all", used to determine how many results to fetch from executed query - fetch_count (int, optional): if fetch = 'many', determines the number of results to fetch, defaults to 10 - query (str, optional): query to execute against database - data (tuple, optional): values to use in query, must be specified using placeholder in query string - commit (bool, optional): set to True to commit transaction, defaults to false - **kwargs (dict, optional): additional keyword arguments to pass to the Task constructor """ def __init__( self, db_name: str, user: str, host: str, port: int = 1433, driver: str = "ODBC Driver 17 for SQL Server", fetch: str = "one", fetch_count: int = 10, query: str = None, data: tuple = None, commit: bool = False, **kwargs ): self.db_name = db_name self.user = user self.host = host self.port = port self.fetch = fetch self.fetch_count = fetch_count self.driver = driver self.query = query self.data = data self.commit = commit super().__init__(**kwargs) @defaults_from_attrs("fetch", "fetch_count", "query", "data", "commit") def run( self, fetch: str = "one", fetch_count: int = 10, query: str = None, data: tuple = None, commit: bool = False, password: str = None, ): """ Task run method. Executes a query against SQL Server database and fetches results. Args: - fetch (str, optional): one of "one" "many" or "all", used to determine how many results to fetch from executed query - fetch_count (int, optional): if fetch = 'many', determines the number of results to fetch, defaults to 10 - query (str, optional): query to execute against database - data (tuple, optional): values to use in query, must be specified using placeholder in query string - commit (bool, optional): set to True to commit transaction, defaults to false - password (str): password used to authenticate; should be provided from a `Secret` task Returns: - records (tuple or list of tuples): records from provided query Raises: - ValueError: if query parameter is None or a blank string - DatabaseError: if exception occurs when executing the query """ if not query: raise ValueError("A query string must be provided") if fetch not in {"one", "many", "all"}: raise ValueError( "The 'fetch' parameter must be one of the following - ('one', 'many', 'all')" ) # connect to database cnxn = pyodbc.connect( driver=self.driver, host=self.host, database=self.db_name, port=self.port, user=self.user, password=password, ) # try to execute query # context manager automatically rolls back failed transactions try: with cnxn.cursor() as crsr: if data: crsr.execute(query, data) else: crsr.execute(query) # fetch results if fetch == "all": records = crsr.fetchall() elif fetch == "many": records = crsr.fetchmany(fetch_count) else: records = crsr.fetchone() if commit: cnxn.commit() return records # ensure connection is closed finally: cnxn.close()

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Python

dlkit/json_/grading/queries.py

UOC/dlkit

a9d265db67e81b9e0f405457464e762e2c03f769

[ "MIT" ]

2

2018-02-23T12:16:11.000Z

2020-10-08T17:54:24.000Z

dlkit/json_/grading/queries.py

UOC/dlkit

a9d265db67e81b9e0f405457464e762e2c03f769

[ "MIT" ]

87

2017-04-21T18:57:15.000Z

2021-12-13T19:43:57.000Z

dlkit/json_/grading/queries.py

UOC/dlkit

a9d265db67e81b9e0f405457464e762e2c03f769

[ "MIT" ]

1

2018-03-01T16:44:25.000Z

"""JSON implementations of grading queries.""" # pylint: disable=no-init # Numerous classes don't require __init__. # pylint: disable=too-many-public-methods,too-few-public-methods # Number of methods are defined in specification # pylint: disable=protected-access # Access to protected methods allowed in package json package scope # pylint: disable=too-many-ancestors # Inheritance defined in specification from .. import utilities from ..id.objects import IdList from ..osid import queries as osid_queries from ..primitives import Id from ..utilities import get_registry from dlkit.abstract_osid.grading import queries as abc_grading_queries from dlkit.abstract_osid.osid import errors class GradeQuery(abc_grading_queries.GradeQuery, osid_queries.OsidObjectQuery, osid_queries.OsidSubjugateableQuery): """This is the query for searching gradings. Each method match request produces an ``AND`` term while multiple invocations of a method produces a nested ``OR``. """ def __init__(self, runtime): self._namespace = 'grading.Grade' self._runtime = runtime record_type_data_sets = get_registry('GRADE_RECORD_TYPES', runtime) self._all_supported_record_type_data_sets = record_type_data_sets self._all_supported_record_type_ids = [] for data_set in record_type_data_sets: self._all_supported_record_type_ids.append(str(Id(**record_type_data_sets[data_set]))) osid_queries.OsidObjectQuery.__init__(self, runtime) @utilities.arguments_not_none def match_grade_system_id(self, grade_system_id, match): """Sets the grade system ``Id`` for this query. arg: grade_system_id (osid.id.Id): a grade system ``Id`` arg: match (boolean): ``true`` for a positive match, ``false`` for negative match raise: NullArgument - ``grade_system_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.match_avatar_id self._add_match('gradeSystemId', str(grade_system_id), match) def clear_grade_system_id_terms(self): """Clears the grade system ``Id`` terms. *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.clear_avatar_id self._clear_terms('gradeSystemId') grade_system_id_terms = property(fdel=clear_grade_system_id_terms) def supports_grade_system_query(self): """Tests if a ``GradeSystemQuery`` is available for querying grade systems. return: (boolean) - ``true`` if a grade system query is available, ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def get_grade_system_query(self): """Gets the query for a grade system. Multiple retrievals produce a nested ``OR`` term. return: (osid.grading.GradeSystemQuery) - the grade system query raise: Unimplemented - ``supports_grade_system_query()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_grade_system_query()`` is ``true``.* """ raise errors.Unimplemented() grade_system_query = property(fget=get_grade_system_query) def clear_grade_system_terms(self): """Clears the grade system terms. *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.clear_group_terms self._clear_terms('gradeSystem') grade_system_terms = property(fdel=clear_grade_system_terms) @utilities.arguments_not_none def match_input_score_start_range(self, start, end, match): """Matches grades with the start input score inclusive. arg: start (decimal): start of range arg: end (decimal): end of range arg: match (boolean): ``true`` for a positive match, ``false`` for negative match raise: InvalidArgument - ``start`` is greater than ``end`` *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_input_score_start_range_terms(self): """Clears the nput score start range terms. *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.clear_group_terms self._clear_terms('inputScoreStartRange') input_score_start_range_terms = property(fdel=clear_input_score_start_range_terms) @utilities.arguments_not_none def match_input_score_end_range(self, start, end, match): """Matches grades with the end input score inclusive. arg: start (decimal): start of range arg: end (decimal): end of range arg: match (boolean): ``true`` for a positive match, ``false`` for negative match raise: InvalidArgument - ``start`` is greater than ``end`` *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_input_score_end_range_terms(self): """Clears the nput score start range terms. *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.clear_group_terms self._clear_terms('inputScoreEndRange') input_score_end_range_terms = property(fdel=clear_input_score_end_range_terms) @utilities.arguments_not_none def match_input_score(self, start, end, match): """Matches grades with the input score range contained within the given range inclusive. arg: start (decimal): start of range arg: end (decimal): end of range arg: match (boolean): ``true`` for a positive match, ``false`` for negative match raise: InvalidArgument - ``start`` is greater than ``end`` *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_input_score_terms(self): """Clears the input score start range terms. *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() input_score_terms = property(fdel=clear_input_score_terms) @utilities.arguments_not_none def match_output_score(self, start, end, match): """Matches grades with the output score contained within the given range inclusive. arg: start (decimal): start of range arg: end (decimal): end of range arg: match (boolean): ``true`` for a positive match, ``false`` for negative match raise: InvalidArgument - ``start`` is greater than ``end`` *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_output_score_terms(self): """Clears the output score terms. *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.clear_group_terms self._clear_terms('outputScore') output_score_terms = property(fdel=clear_output_score_terms) @utilities.arguments_not_none def match_grade_entry_id(self, grade_entry_id, match): """Sets the grade entry ``Id`` for this query. arg: grade_entry_id (osid.id.Id): a grade entry ``Id`` arg: match (boolean): ``true`` for a positive match, ``false`` for negative match raise: NullArgument - ``grade_entry_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.match_avatar_id self._add_match('gradeEntryId', str(grade_entry_id), match) def clear_grade_entry_id_terms(self): """Clears the grade entry ``Id`` terms. *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.clear_avatar_id self._clear_terms('gradeEntryId') grade_entry_id_terms = property(fdel=clear_grade_entry_id_terms) def supports_grade_entry_query(self): """Tests if a ``GradeEntryQuery`` is available for querying grade entries. return: (boolean) - ``true`` if a grade entry query is available, ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def get_grade_entry_query(self): """Gets the query for a grade entry. Multiple retrievals produce a nested ``OR`` term. return: (osid.grading.GradeEntryQuery) - the grade entry query raise: Unimplemented - ``supports_grade_entry_query()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_grade_entry_query()`` is ``true``.* """ raise errors.Unimplemented() grade_entry_query = property(fget=get_grade_entry_query) @utilities.arguments_not_none def match_any_grade_entry(self, match): """Matches grades that are assigned to any grade entry. arg: match (boolean): ``true`` to match grades used in any grade entry, ``false`` to match grades that are not used in any grade entries *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_grade_entry_terms(self): """Clears the grade entry terms. *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() grade_entry_terms = property(fdel=clear_grade_entry_terms) @utilities.arguments_not_none def match_gradebook_id(self, gradebook_id, match): """Sets the gradebook ``Id`` for this query. arg: gradebook_id (osid.id.Id): a gradebook ``Id`` arg: match (boolean): ``true`` for a positive match, ``false`` for negative match raise: NullArgument - ``gradebook_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.match_bin_id self._add_match('assignedGradebookIds', str(gradebook_id), match) def clear_gradebook_id_terms(self): """Clears the gradebook ``Id`` terms. *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.clear_bin_id_terms self._clear_terms('assignedGradebookIds') gradebook_id_terms = property(fdel=clear_gradebook_id_terms) def supports_gradebook_query(self): """Tests if a ``GradebookQuery`` is available. return: (boolean) - ``true`` if a gradebook query is available, ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def get_gradebook_query(self): """Gets the query for a gradebook. Multiple retrievals produce a nested ``OR`` term. return: (osid.grading.GradebookQuery) - the gradebook query raise: Unimplemented - ``supports_gradebook_query()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_gradebook_column_query()`` is ``true``.* """ raise errors.Unimplemented() gradebook_query = property(fget=get_gradebook_query) def clear_gradebook_terms(self): """Clears the gradebook terms. *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.clear_group_terms self._clear_terms('gradebook') gradebook_terms = property(fdel=clear_gradebook_terms) @utilities.arguments_not_none def get_grade_query_record(self, grade_record_type): """Gets the grade query record corresponding to the given ``Grade`` record ``Type``. Multiple retrievals produce a nested ``OR`` term. arg: grade_record_type (osid.type.Type): a grade record type return: (osid.grading.records.GradeQueryRecord) - the grade query record raise: NullArgument - ``grade_record_type`` is ``null`` raise: OperationFailed - unable to complete request raise: Unsupported - ``has_record_type(grade_record_type)`` is ``false`` *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() class GradeSystemQuery(abc_grading_queries.GradeSystemQuery, osid_queries.OsidObjectQuery, osid_queries.OsidAggregateableQuery): """This is the query for searching grade systems. Each method match request produces an ``AND`` term while multiple invocations of a method produces a nested ``OR``. """ def __init__(self, runtime): self._namespace = 'grading.GradeSystem' self._runtime = runtime record_type_data_sets = get_registry('GRADE_SYSTEM_RECORD_TYPES', runtime) self._all_supported_record_type_data_sets = record_type_data_sets self._all_supported_record_type_ids = [] for data_set in record_type_data_sets: self._all_supported_record_type_ids.append(str(Id(**record_type_data_sets[data_set]))) osid_queries.OsidObjectQuery.__init__(self, runtime) @utilities.arguments_not_none def match_based_on_grades(self, match): """Matches grade systems based on grades. arg: match (boolean): ``true`` for a positive match, ``false`` for negative match *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_based_on_grades_terms(self): """Clears the grade ``based`` terms. *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.clear_group_terms self._clear_terms('basedOnGrades') based_on_grades_terms = property(fdel=clear_based_on_grades_terms) @utilities.arguments_not_none def match_grade_id(self, grade_id, match): """Sets the grade ``Id`` for this query. arg: grade_id (osid.id.Id): a grade ``Id`` arg: match (boolean): ``true`` for a positive match, ``false`` for negative match raise: NullArgument - ``grade_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.match_avatar_id self._add_match('gradeId', str(grade_id), match) def clear_grade_id_terms(self): """Clears the grade ``Id`` terms. *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.clear_avatar_id self._clear_terms('gradeId') grade_id_terms = property(fdel=clear_grade_id_terms) def supports_grade_query(self): """Tests if a ``GradeQuery`` is available for querying grades. return: (boolean) - ``true`` if a grade query is available, ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def get_grade_query(self): """Gets the query for a grade. Multiple retrievals produce a nested ``OR`` term. return: (osid.grading.GradeQuery) - the grade query raise: Unimplemented - ``supports_grade_query()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_grade_query()`` is ``true``.* """ raise errors.Unimplemented() grade_query = property(fget=get_grade_query) @utilities.arguments_not_none def match_any_grade(self, match): """Matches grade systems with any grade. arg: match (boolean): ``true`` to match grade systems with any grade, ``false`` to match systems with no grade *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_grade_terms(self): """Clears the grade terms. *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() grade_terms = property(fdel=clear_grade_terms) @utilities.arguments_not_none def match_lowest_numeric_score(self, start, end, match): """Matches grade systems whose low end score falls in the specified range inclusive. arg: start (decimal): low end of range arg: end (decimal): high end of range arg: match (boolean): ``true`` for a positive match, ``false`` for negative match raise: InvalidArgument - ``end`` is less than ``start`` raise: NullArgument - ``grade_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_lowest_numeric_score_terms(self): """Clears the lowest numeric score terms. *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.clear_group_terms self._clear_terms('lowestNumericScore') lowest_numeric_score_terms = property(fdel=clear_lowest_numeric_score_terms) @utilities.arguments_not_none def match_numeric_score_increment(self, start, end, match): """Matches grade systems numeric score increment is between the specified range inclusive. arg: start (decimal): low end of range arg: end (decimal): high end of range arg: match (boolean): ``true`` for a positive match, ``false`` for negative match raise: InvalidArgument - ``end`` is less than ``start`` raise: NullArgument - ``grade_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_numeric_score_increment_terms(self): """Clears the numeric score increment terms. *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.clear_group_terms self._clear_terms('numericScoreIncrement') numeric_score_increment_terms = property(fdel=clear_numeric_score_increment_terms) @utilities.arguments_not_none def match_highest_numeric_score(self, start, end, match): """Matches grade systems whose high end score falls in the specified range inclusive. arg: start (decimal): low end of range arg: end (decimal): high end of range arg: match (boolean): ``true`` for a positive match, ``false`` for negative match raise: InvalidArgument - ``end`` is less than ``start`` raise: NullArgument - ``grade_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_highest_numeric_score_terms(self): """Clears the highest numeric score terms. *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.clear_group_terms self._clear_terms('highestNumericScore') highest_numeric_score_terms = property(fdel=clear_highest_numeric_score_terms) @utilities.arguments_not_none def match_gradebook_column_id(self, gradebook_column_id, match): """Sets the gradebook column ``Id`` for this query. arg: gradebook_column_id (osid.id.Id): a gradebook column ``Id`` arg: match (boolean): ``true`` for a positive match, ``false`` for negative match raise: NullArgument - ``gradebook_column_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.match_avatar_id self._add_match('gradebookColumnId', str(gradebook_column_id), match) def clear_gradebook_column_id_terms(self): """Clears the gradebook column ``Id`` terms. *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.clear_avatar_id self._clear_terms('gradebookColumnId') gradebook_column_id_terms = property(fdel=clear_gradebook_column_id_terms) def supports_gradebook_column_query(self): """Tests if a ``GradebookColumnQuery`` is available. return: (boolean) - ``true`` if a gradebook column query is available, ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def get_gradebook_column_query(self): """Gets the query for a gradebook column. Multiple retrievals produce a nested ``OR`` term. return: (osid.grading.GradebookColumnQuery) - the gradebook column query raise: Unimplemented - ``supports_gradebook_column_query()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_gradebook_column_query()`` is ``true``.* """ raise errors.Unimplemented() gradebook_column_query = property(fget=get_gradebook_column_query) @utilities.arguments_not_none def match_any_gradebook_column(self, match): """Matches grade systems assigned to any gradebook column. arg: match (boolean): ``true`` to match grade systems mapped to any column, ``false`` to match systems mapped to no columns *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_gradebook_column_terms(self): """Clears the gradebook column terms. *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() gradebook_column_terms = property(fdel=clear_gradebook_column_terms) @utilities.arguments_not_none def match_gradebook_id(self, gradebook_id, match): """Sets the gradebook ``Id`` for this query. arg: gradebook_id (osid.id.Id): a gradebook ``Id`` arg: match (boolean): ``true`` for a positive match, ``false`` for negative match raise: NullArgument - ``gradebook_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.match_bin_id self._add_match('assignedGradebookIds', str(gradebook_id), match) def clear_gradebook_id_terms(self): """Clears the gradebook ``Id`` terms. *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.clear_bin_id_terms self._clear_terms('assignedGradebookIds') gradebook_id_terms = property(fdel=clear_gradebook_id_terms) def supports_gradebook_query(self): """Tests if a ``GradebookQuery`` is available. return: (boolean) - ``true`` if a gradebook query is available, ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def get_gradebook_query(self): """Gets the query for a gradebook. Multiple retrievals produce a nested ``OR`` term. return: (osid.grading.GradebookQuery) - the gradebook query raise: Unimplemented - ``supports_gradebook_query()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_gradebook_query()`` is ``true``.* """ raise errors.Unimplemented() gradebook_query = property(fget=get_gradebook_query) def clear_gradebook_terms(self): """Clears the gradebook terms. *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.clear_group_terms self._clear_terms('gradebook') gradebook_terms = property(fdel=clear_gradebook_terms) @utilities.arguments_not_none def get_grade_system_query_record(self, grade_system_record_type): """Gets the grade system query record corresponding to the given ``GradeSystem`` record ``Type``. Multiple retrievals produce a nested ``OR`` term. arg: grade_system_record_type (osid.type.Type): a grade system record type return: (osid.grading.records.GradeSystemQueryRecord) - the grade system query record raise: NullArgument - ``grade_system_record_type`` is ``null`` raise: OperationFailed - unable to complete request raise: Unsupported - ``has_record_type(grade_system_record_type)`` is ``false`` *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() class GradeEntryQuery(abc_grading_queries.GradeEntryQuery, osid_queries.OsidRelationshipQuery): """This is the query for searching grade entries. Each method match request produces an ``AND`` term while multiple invocations of a method produces a nested ``OR``. """ def __init__(self, runtime): self._namespace = 'grading.GradeEntry' self._runtime = runtime record_type_data_sets = get_registry('GRADE_ENTRY_RECORD_TYPES', runtime) self._all_supported_record_type_data_sets = record_type_data_sets self._all_supported_record_type_ids = [] for data_set in record_type_data_sets: self._all_supported_record_type_ids.append(str(Id(**record_type_data_sets[data_set]))) osid_queries.OsidObjectQuery.__init__(self, runtime) @utilities.arguments_not_none def match_gradebook_column_id(self, gradebook_column_id, match): """Sets the gradebook column ``Id`` for this query. arg: gradebook_column_id (osid.id.Id): a gradebook column ``Id`` arg: match (boolean): ``true`` for a positive match, ``false`` for a negative match raise: NullArgument - ``gradebook_column_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ self._add_match('gradebookColumnId', str(gradebook_column_id), match) def clear_gradebook_column_id_terms(self): """Clears the gradebook column ``Id`` terms. *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.clear_avatar_id self._clear_terms('gradebookColumnId') gradebook_column_id_terms = property(fdel=clear_gradebook_column_id_terms) def supports_gradebook_column_query(self): """Tests if a ``GradebookColumnQuery`` is available for querying creators. return: (boolean) - ``true`` if a gradebook column query is available, ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def get_gradebook_column_query(self): """Gets the query for a gradebook column. Multiple retrievals produce a nested ``OR`` term. return: (osid.grading.GradebookColumnQuery) - the gradebook column query raise: Unimplemented - ``supports_gradebook_column_query()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_gradebook_column_query()`` is ``true``.* """ raise errors.Unimplemented() gradebook_column_query = property(fget=get_gradebook_column_query) def clear_gradebook_column_terms(self): """Clears the gradebook column terms. *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.clear_group_terms self._clear_terms('gradebookColumn') gradebook_column_terms = property(fdel=clear_gradebook_column_terms) @utilities.arguments_not_none def match_key_resource_id(self, resource_id, match): """Sets the key resource ``Id`` for this query. arg: resource_id (osid.id.Id): a resource ``Id`` arg: match (boolean): ``true`` for a positive match, ``false`` for a negative match raise: NullArgument - ``resource_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.match_avatar_id self._add_match('keyResourceId', str(resource_id), match) def clear_key_resource_id_terms(self): """Clears the key resource ``Id`` terms. *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.clear_avatar_id self._clear_terms('keyResourceId') key_resource_id_terms = property(fdel=clear_key_resource_id_terms) def supports_key_resource_query(self): """Tests if a ``ResourceQUery`` is available for querying key resources. return: (boolean) - ``true`` if a resource query is available, ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def get_key_resource_query(self): """Gets the query for a key resource. Multiple retrievals produce a nested ``OR`` term. return: (osid.resource.ResourceQuery) - the resource query raise: Unimplemented - ``supports_key_resource_query()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_key_resource_query()`` is ``true``.* """ raise errors.Unimplemented() key_resource_query = property(fget=get_key_resource_query) @utilities.arguments_not_none def match_any_key_resource(self, match): """Matches grade entries with any key resource. arg: match (boolean): ``true`` to match grade entries with any key resource, ``false`` to match entries with no key resource *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_key_resource_terms(self): """Clears the key resource terms. *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() key_resource_terms = property(fdel=clear_key_resource_terms) @utilities.arguments_not_none def match_derived(self, match): """Matches derived grade entries. arg: match (boolean): ``true`` to match derived grade entries , ``false`` to match manual entries *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_derived_terms(self): """Clears the derived terms. *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() derived_terms = property(fdel=clear_derived_terms) @utilities.arguments_not_none def match_overridden_grade_entry_id(self, grade_entry_id, match): """Sets the grade entry ``Id`` for an overridden calculated grade entry. arg: grade_entry_id (osid.id.Id): a grade entry ``Id`` arg: match (boolean): ``true`` for a positive match, ``false`` for a negative match raise: NullArgument - ``grade_entry_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.match_avatar_id self._add_match('overriddenGradeEntryId', str(grade_entry_id), match) def clear_overridden_grade_entry_id_terms(self): """Clears the overridden grade entry ``Id`` terms. *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.clear_avatar_id self._clear_terms('overriddenGradeEntryId') overridden_grade_entry_id_terms = property(fdel=clear_overridden_grade_entry_id_terms) def supports_overridden_grade_entry_query(self): """Tests if a ``GradeEntry`` is available for querying overridden calculated grade entries. return: (boolean) - ``true`` if a grade entry query is available, ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def get_overridden_grade_entry_query(self): """Gets the query for an overridden derived grade entry. Multiple retrievals produce a nested ``OR`` term. return: (osid.grading.GradeEntryQuery) - the grade entry query raise: Unimplemented - ``supports_overridden_grade_entry_query()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_overridden_grade_entry_query()`` is ``true``.* """ raise errors.Unimplemented() overridden_grade_entry_query = property(fget=get_overridden_grade_entry_query) @utilities.arguments_not_none def match_any_overridden_grade_entry(self, match): """Matches grade entries overriding any calculated grade entry. arg: match (boolean): ``true`` to match grade entries overriding any grade entry, ``false`` to match entries not overriding any entry *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_overridden_grade_entry_terms(self): """Clears the overridden grade entry terms. *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() overridden_grade_entry_terms = property(fdel=clear_overridden_grade_entry_terms) @utilities.arguments_not_none def match_ignored_for_calculations(self, match): """Matches grade entries ignored for calculations. arg: match (boolean): ``true`` to match grade entries ignored for calculations, ``false`` to match entries used in calculations *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_ignored_for_calculations_terms(self): """Clears the ignored for calculation entries terms. *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.clear_group_terms self._clear_terms('ignoredForCalculations') ignored_for_calculations_terms = property(fdel=clear_ignored_for_calculations_terms) @utilities.arguments_not_none def match_grade_id(self, grade_id, match): """Sets the grade ``Id`` for this query. arg: grade_id (osid.id.Id): a grade ``Id`` arg: match (boolean): ``true`` for a positive match, ``false`` for a negative match raise: NullArgument - ``grade_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.match_avatar_id self._add_match('gradeId', str(grade_id), match) def clear_grade_id_terms(self): """Clears the grade ``Id`` terms. *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.clear_avatar_id self._clear_terms('gradeId') grade_id_terms = property(fdel=clear_grade_id_terms) def supports_grade_query(self): """Tests if a ``GradeQuery`` is available for querying grades. return: (boolean) - ``true`` if a grade query is available, ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def get_grade_query(self): """Gets the query for a grade. Multiple retrievals produce a nested ``OR`` term. return: (osid.grading.GradeQuery) - the grade query raise: Unimplemented - ``supports_grade_query()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_grade_query()`` is ``true``.* """ raise errors.Unimplemented() grade_query = property(fget=get_grade_query) @utilities.arguments_not_none def match_any_grade(self, match): """Matches grade entries with any grade. arg: match (boolean): ``true`` to match grade entries with any grade, ``false`` to match entries with no grade *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_grade_terms(self): """Clears the grade terms. *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.clear_group_terms self._clear_terms('grade') grade_terms = property(fdel=clear_grade_terms) @utilities.arguments_not_none def match_score(self, start, end, match): """Matches grade entries which score is between the specified score inclusive. arg: start (decimal): start of range arg: end (decimal): end of range arg: match (boolean): ``true`` for a positive match, ``false`` for a negative match raise: InvalidArgument - ``end`` is less than ``start`` *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() @utilities.arguments_not_none def match_any_score(self, match): """Matches grade entries with any score. arg: match (boolean): ``true`` to match grade entries with any score, ``false`` to match entries with no score *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_score_terms(self): """Clears the score terms. *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.clear_group_terms self._clear_terms('score') score_terms = property(fdel=clear_score_terms) @utilities.arguments_not_none def match_time_graded(self, start, end, match): """Matches grade entries which graded time is between the specified times inclusive. arg: start (osid.calendaring.DateTime): start of range arg: end (osid.calendaring.DateTime): end of range arg: match (boolean): ``true`` for a positive match, ``false`` for a negative match raise: InvalidArgument - ``end`` is less than ``start`` *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_time_graded_terms(self): """Clears the time graded terms. *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() time_graded_terms = property(fdel=clear_time_graded_terms) @utilities.arguments_not_none def match_grader_id(self, resource_id, match): """Sets the agent ``Id`` for this query. arg: resource_id (osid.id.Id): a resource ``Id`` arg: match (boolean): ``true`` for a positive match, ``false`` for a negative match raise: NullArgument - ``resource_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.match_avatar_id self._add_match('graderId', str(resource_id), match) def clear_grader_id_terms(self): """Clears the grader ``Id`` terms. *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.clear_avatar_id self._clear_terms('graderId') grader_id_terms = property(fdel=clear_grader_id_terms) def supports_grader_query(self): """Tests if a ``ResourceQuery`` is available for querying graders. return: (boolean) - ``true`` if a resource query is available, ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def get_grader_query(self): """Gets the query for an agent. Multiple retrievals produce a nested ``OR`` term. return: (osid.resource.ResourceQuery) - the resource query raise: Unimplemented - ``supports_resource_query()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_resource_query()`` is ``true``.* """ raise errors.Unimplemented() grader_query = property(fget=get_grader_query) @utilities.arguments_not_none def match_any_grader(self, match): """Matches grade entries with any grader. arg: match (boolean): ``true`` to match grade entries with any grader, ``false`` to match entries with no grader *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_grader_terms(self): """Clears the grader terms. *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() grader_terms = property(fdel=clear_grader_terms) @utilities.arguments_not_none def match_grading_agent_id(self, agent_id, match): """Sets the grading agent ``Id`` for this query. arg: agent_id (osid.id.Id): an agent ``Id`` arg: match (boolean): ``true`` for a positive match, ``false`` for a negative match raise: NullArgument - ``agent_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.match_avatar_id self._add_match('gradingAgentId', str(agent_id), match) def clear_grading_agent_id_terms(self): """Clears the grader ``Id`` terms. *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.clear_avatar_id self._clear_terms('gradingAgentId') grading_agent_id_terms = property(fdel=clear_grading_agent_id_terms) def supports_grading_agent_query(self): """Tests if an ``AgentQuery`` is available for querying grading agents. return: (boolean) - ``true`` if an agent query is available, ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def get_grading_agent_query(self): """Gets the query for an agent. Multiple retrievals produce a nested ``OR`` term. return: (osid.authentication.AgentQuery) - the agent query raise: Unimplemented - ``supports_grading_agent_query()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_grading_agent_query()`` is ``true``.* """ raise errors.Unimplemented() grading_agent_query = property(fget=get_grading_agent_query) @utilities.arguments_not_none def match_any_grading_agent(self, match): """Matches grade entries with any grading agent. arg: match (boolean): ``true`` to match grade entries with any grading agent, ``false`` to match entries with no grading agent *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_grading_agent_terms(self): """Clears the grading agent terms. *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() grading_agent_terms = property(fdel=clear_grading_agent_terms) @utilities.arguments_not_none def match_gradebook_id(self, gradebook_id, match): """Sets the gradebook ``Id`` for this query. arg: gradebook_id (osid.id.Id): a gradebook ``Id`` arg: match (boolean): ``true`` for a positive match, ``false`` for a negative match raise: NullArgument - ``gradebook_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.match_bin_id self._add_match('assignedGradebookIds', str(gradebook_id), match) def clear_gradebook_id_terms(self): """Clears the gradebook ``Id`` terms. *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.clear_bin_id_terms self._clear_terms('assignedGradebookIds') gradebook_id_terms = property(fdel=clear_gradebook_id_terms) def supports_gradebook_query(self): """Tests if a ``GradebookQuery`` is available for querying resources. return: (boolean) - ``true`` if a gradebook query is available, ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def get_gradebook_query(self): """Gets the query for a gradebook. Multiple retrievals produce a nested ``OR`` term. return: (osid.grading.GradebookQuery) - the gradebook query raise: Unimplemented - ``supports_gradebook_query()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_gradebook_query()`` is ``true``.* """ raise errors.Unimplemented() gradebook_query = property(fget=get_gradebook_query) def clear_gradebook_terms(self): """Clears the gradebook terms. *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.clear_group_terms self._clear_terms('gradebook') gradebook_terms = property(fdel=clear_gradebook_terms) @utilities.arguments_not_none def get_grade_entry_query_record(self, grade_entry_record_type): """Gets the grade entry query record corresponding to the given ``GradeEntry`` record ``Type``. Multiple retrievals produce a nested ``OR`` term. arg: grade_entry_record_type (osid.type.Type): a grade entry record type return: (osid.grading.records.GradeEntryQueryRecord) - the grade entry query record raise: NullArgument - ``grade_entry_record_type`` is ``null`` raise: OperationFailed - unable to complete request raise: Unsupported - ``has_record_type(grade_entry_record_type)`` is ``false`` *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() class GradebookColumnQuery(abc_grading_queries.GradebookColumnQuery, osid_queries.OsidObjectQuery): """This is the query for searching gradings. Each method match request produces an ``AND`` term while multiple invocations of a method produces a nested ``OR``. """ def __init__(self, runtime): self._namespace = 'grading.GradebookColumn' self._runtime = runtime record_type_data_sets = get_registry('GRADEBOOK_COLUMN_RECORD_TYPES', runtime) self._all_supported_record_type_data_sets = record_type_data_sets self._all_supported_record_type_ids = [] for data_set in record_type_data_sets: self._all_supported_record_type_ids.append(str(Id(**record_type_data_sets[data_set]))) osid_queries.OsidObjectQuery.__init__(self, runtime) @utilities.arguments_not_none def match_grade_system_id(self, grade_system_id, match): """Sets the grade system ``Id`` for this query. arg: grade_system_id (osid.id.Id): a grade system ``Id`` arg: match (boolean): ``true`` for a positive match, ``false`` for a negative match raise: NullArgument - ``grade_system_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ self._add_match('gradeSystemId', str(grade_system_id), bool(match)) def clear_grade_system_id_terms(self): """Clears the grade system ``Id`` terms. *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.clear_avatar_id self._clear_terms('gradeSystemId') grade_system_id_terms = property(fdel=clear_grade_system_id_terms) def supports_grade_system_query(self): """Tests if a ``GradeSystemQuery`` is available for querying grade systems. return: (boolean) - ``true`` if a grade system query is available, ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def get_grade_system_query(self): """Gets the query for a grade system. Multiple retrievals produce a nested ``OR`` term. return: (osid.grading.GradeSystemQuery) - the grade system query raise: Unimplemented - ``supports_grade_system_query()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_grade_system_query()`` is ``true``.* """ raise errors.Unimplemented() grade_system_query = property(fget=get_grade_system_query) @utilities.arguments_not_none def match_any_grade_system(self, match): """Matches gradebook columns with any grade system assigned. arg: match (boolean): ``true`` to match columns with any grade system, ``false`` to match columns with no grade system *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_grade_system_terms(self): """Clears the grade system terms. *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.clear_group_terms self._clear_terms('gradeSystem') grade_system_terms = property(fdel=clear_grade_system_terms) @utilities.arguments_not_none def match_grade_entry_id(self, grade_entry_id, match): """Sets the grade entry ``Id`` for this query. arg: grade_entry_id (osid.id.Id): a grade entry ``Id`` arg: match (boolean): ``true`` for a positive match, ``false`` for a negative match raise: NullArgument - ``grade_entry_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.match_avatar_id self._add_match('gradeEntryId', str(grade_entry_id), match) def clear_grade_entry_id_terms(self): """Clears the grade entry ``Id`` terms. *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.clear_avatar_id self._clear_terms('gradeEntryId') grade_entry_id_terms = property(fdel=clear_grade_entry_id_terms) def supports_grade_entry_query(self): """Tests if a ``GradeEntryQuery`` is available for querying grade entries. return: (boolean) - ``true`` if a grade entry query is available, ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def get_grade_entry_query(self): """Gets the query for a grade entry. Multiple retrievals produce a nested ``OR`` term. return: (osid.grading.GradeEntryQuery) - the grade entry query raise: Unimplemented - ``supports_grade_entry_query()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_grade_entry_query()`` is ``true``.* """ raise errors.Unimplemented() grade_entry_query = property(fget=get_grade_entry_query) @utilities.arguments_not_none def match_any_grade_entry(self, match): """Matches gradebook columns with any grade entry assigned. arg: match (boolean): ``true`` to match columns with any grade entry, ``false`` to match columns with no grade entries *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_grade_entry_terms(self): """Clears the grade entry terms. *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() grade_entry_terms = property(fdel=clear_grade_entry_terms) def supports_gradebook_column_summary_query(self): """Tests if a ``GradebookColumnSummaryQuery`` is available for querying grade systems. return: (boolean) - ``true`` if a gradebook column summary query interface is available, ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def get_gradebook_column_summary_query(self): """Gets the query interface for a gradebook column summary. Multiple retrievals produce a nested ``OR`` term. return: (osid.grading.GradebookColumnSummaryQuery) - the gradebook column summary query raise: Unimplemented - ``supports_gradebook_column_summary_query()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_gradebook_column_summary_query()`` is ``true``.* """ raise errors.Unimplemented() gradebook_column_summary_query = property(fget=get_gradebook_column_summary_query) def clear_gradebook_column_summary_terms(self): """Clears the gradebook column summary terms. *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() gradebook_column_summary_terms = property(fdel=clear_gradebook_column_summary_terms) @utilities.arguments_not_none def match_gradebook_id(self, gradebook_id, match): """Sets the gradebook ``Id`` for this query. arg: gradebook_id (osid.id.Id): a gradebook ``Id`` arg: match (boolean): ``true`` for a positive match, ``false`` for a negative match raise: NullArgument - ``gradebook_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.match_bin_id self._add_match('assignedGradebookIds', str(gradebook_id), match) def clear_gradebook_id_terms(self): """Clears the gradebook ``Id`` terms. *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.clear_bin_id_terms self._clear_terms('assignedGradebookIds') gradebook_id_terms = property(fdel=clear_gradebook_id_terms) def supports_gradebook_query(self): """Tests if a ``GradebookQuery`` is available for querying grade systems. return: (boolean) - ``true`` if a gradebook query interface is available, ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def get_gradebook_query(self): """Gets the query interface for a gradebook. Multiple retrievals produce a nested ``OR`` term. return: (osid.grading.GradebookQuery) - the gradebook query raise: Unimplemented - ``supports_gradebook_query()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_gradebook_query()`` is ``true``.* """ raise errors.Unimplemented() gradebook_query = property(fget=get_gradebook_query) def clear_gradebook_terms(self): """Clears the gradebook terms. *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceQuery.clear_group_terms self._clear_terms('gradebook') gradebook_terms = property(fdel=clear_gradebook_terms) @utilities.arguments_not_none def get_gradebook_column_query_record(self, gradebook_column_record_type): """Gets the gradebook column query record corresponding to the given ``GradebookColumn`` record ``Type``. Multiple retrievals produce a nested ``OR`` term. arg: gradebook_column_record_type (osid.type.Type): a gradebook column record type return: (osid.grading.records.GradebookColumnQueryRecord) - the gradebook column query record raise: NullArgument - ``gradebook_column_record_type`` is ``null`` raise: OperationFailed - unable to complete request raise: Unsupported - ``has_record_type(gradebook_column_record_type)`` is ``false`` *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() class GradebookColumnSummaryQuery(abc_grading_queries.GradebookColumnSummaryQuery, osid_queries.OsidRuleQuery): """This is the query for searching gradebook column summaries. Each method match request produces an ``AND`` term while multiple invocations of a method produces a nested ``OR``. """ def __init__(self, runtime): self._namespace = 'grading.GradebookColumnSummaryQuery' self._runtime = runtime record_type_data_sets = get_registry('GRADEBOOK_COLUMN_SUMMARY_QUERY_RECORD_TYPES', runtime) self._all_supported_record_type_data_sets = record_type_data_sets self._all_supported_record_type_ids = [] for data_set in record_type_data_sets: self._all_supported_record_type_ids.append(str(Id(**record_type_data_sets[data_set]))) osid_queries.OsidRuleQuery.__init__(self, runtime) @utilities.arguments_not_none def match_gradebook_column_id(self, gradebook_column_id, match): """Sets the gradebook column ``Id`` for this query. arg: gradebook_column_id (osid.id.Id): a gradeboo column ``Id`` arg: match (boolean): ``true`` for a positive match, ``false`` for a negative match raise: NullArgument - ``gradebook_column_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_gradebook_column_id_terms(self): """Clears the gradebook column ``Id`` terms. *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() gradebook_column_id_terms = property(fdel=clear_gradebook_column_id_terms) def supports_gradebook_column_query(self): """Tests if a ``GradebookColumnQuery`` is available for querying gradebook column. return: (boolean) - ``true`` if a gradebook column query is available, ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def get_gradebook_column_query(self): """Gets the query for a gradebook column. Multiple retrievals produce a nested ``OR`` term. return: (osid.grading.GradebookColumnQuery) - the gradebook column query raise: Unimplemented - ``supports_gradebook_column_query()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_gradebook_column_query()`` is ``true``.* """ raise errors.Unimplemented() gradebook_column_query = property(fget=get_gradebook_column_query) @utilities.arguments_not_none def match_any_gradebook_column(self, match): """Matches gradebook column derivations with any gradebookc olumn. arg: match (boolean): ``true`` to match gradebook column derivations with any gradebook column, ``false`` to match gradebook column derivations with no gradebook columns *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_gradebook_column_terms(self): """Clears the source grade system terms. *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() gradebook_column_terms = property(fdel=clear_gradebook_column_terms) @utilities.arguments_not_none def match_mean(self, low, high, match): """Matches a mean between the given values inclusive. arg: low (decimal): low end of range arg: high (decimal): high end of range arg: match (boolean): ``true`` for a positive match, ``false`` for a negative match raise: InvalidArgument - ``low`` is greater than ``high`` *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_mean_terms(self): """Clears the mean terms. *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() mean_terms = property(fdel=clear_mean_terms) @utilities.arguments_not_none def match_minimum_mean(self, value, match): """Matches a mean greater than or equal to the given value. arg: value (decimal): minimum value arg: match (boolean): ``true`` for a positive match, ``false`` for a negative match *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_minimum_mean_terms(self): """Clears the minimum mean terms. *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() minimum_mean_terms = property(fdel=clear_minimum_mean_terms) @utilities.arguments_not_none def match_median(self, low, high, match): """Matches a median between the given values inclusive. arg: low (decimal): low end of range arg: high (decimal): high end of range arg: match (boolean): ``true`` for a positive match, ``false`` for a negative match raise: InvalidArgument - ``low`` is greater than ``high`` *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_median_terms(self): """Clears the median terms. *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() median_terms = property(fdel=clear_median_terms) @utilities.arguments_not_none def match_minimum_median(self, value, match): """Matches a median greater than or equal to the given value. arg: value (decimal): minimum value arg: match (boolean): ``true`` for a positive match, ``false`` for a negative match *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_minimum_median_terms(self): """Clears the minimum median terms. *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() minimum_median_terms = property(fdel=clear_minimum_median_terms) @utilities.arguments_not_none def match_mode(self, low, high, match): """Matches a mode between the given values inclusive. arg: low (decimal): low end of range arg: high (decimal): high end of range arg: match (boolean): ``true`` for a positive match, ``false`` for a negative match raise: InvalidArgument - ``low`` is greater than ``high`` *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_mode_terms(self): """Clears the mode terms. *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() mode_terms = property(fdel=clear_mode_terms) @utilities.arguments_not_none def match_minimum_mode(self, value, match): """Matches a mode greater than or equal to the given value. arg: value (decimal): minimum value arg: match (boolean): ``true`` for a positive match, ``false`` for a negative match *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_minimum_mode_terms(self): """Clears the minimum mode terms. *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() minimum_mode_terms = property(fdel=clear_minimum_mode_terms) @utilities.arguments_not_none def match_rms(self, low, high, match): """Matches a root mean square between the given values inclusive. arg: low (decimal): low end of range arg: high (decimal): high end of range arg: match (boolean): ``true`` for a positive match, ``false`` for a negative match raise: InvalidArgument - ``low`` is greater than ``high`` *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_rms_terms(self): """Clears the root mean square terms. *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() rms_terms = property(fdel=clear_rms_terms) @utilities.arguments_not_none def match_minimum_rms(self, value, match): """Matches a root mean square greater than or equal to the given value. arg: value (decimal): minimum value arg: match (boolean): ``true`` for a positive match, ``false`` for a negative match *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_minimum_rms_terms(self): """Clears the minimum RMS terms. *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() minimum_rms_terms = property(fdel=clear_minimum_rms_terms) @utilities.arguments_not_none def match_standard_deviation(self, low, high, match): """Matches a standard deviation mean square between the given values inclusive. arg: low (decimal): low end of range arg: high (decimal): high end of range arg: match (boolean): ``true`` for a positive match, ``false`` for a negative match raise: InvalidArgument - ``low`` is greater than ``high`` *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_standard_deviation_terms(self): """Clears the standard deviation terms. *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() standard_deviation_terms = property(fdel=clear_standard_deviation_terms) @utilities.arguments_not_none def match_minimum_standard_deviation(self, value, match): """Matches a standard deviation greater than or equal to the given value. arg: value (decimal): minimum value arg: match (boolean): ``true`` for a positive match, ``false`` for a negative match *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_minimum_standard_deviation_terms(self): """Clears the minimum standard deviation terms. *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() minimum_standard_deviation_terms = property(fdel=clear_minimum_standard_deviation_terms) @utilities.arguments_not_none def match_sum(self, low, high, match): """Matches a sum mean square between the given values inclusive. arg: low (decimal): low end of range arg: high (decimal): high end of range arg: match (boolean): ``true`` for a positive match, ``false`` for a negative match raise: InvalidArgument - ``low`` is greater than ``high`` *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_sum_terms(self): """Clears the sum terms. *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() sum_terms = property(fdel=clear_sum_terms) @utilities.arguments_not_none def match_minimum_sum(self, value, match): """Matches a sum greater than or equal to the given value. arg: value (decimal): minimum value arg: match (boolean): ``true`` for a positive match, ``false`` for a negative match *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_minimum_sum_terms(self): """Clears the minimum sum terms. *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() minimum_sum_terms = property(fdel=clear_minimum_sum_terms) @utilities.arguments_not_none def match_gradebook_id(self, gradebook_id, match): """Sets the gradebook ``Id`` for this query. arg: gradebook_id (osid.id.Id): a gradebook ``Id`` arg: match (boolean): ``true`` for a positive match, ``false`` for a negative match raise: NullArgument - ``gradebook_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_gradebook_id_terms(self): """Clears the gradebook ``Id`` terms. *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() gradebook_id_terms = property(fdel=clear_gradebook_id_terms) def supports_gradebook_query(self): """Tests if a ``GradebookQuery`` is available. return: (boolean) - ``true`` if a gradebook query is available, ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def get_gradebook_query(self): """Gets the query for a gradebook. Multiple retrievals produce a nested ``OR`` term. return: (osid.grading.GradebookQuery) - the gradebook query raise: Unimplemented - ``supports_gradebook_query()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_gradebook_column_query()`` is ``true``.* """ raise errors.Unimplemented() gradebook_query = property(fget=get_gradebook_query) def clear_gradebook_terms(self): """Clears the gradebook terms. *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() gradebook_terms = property(fdel=clear_gradebook_terms) @utilities.arguments_not_none def get_gradebook_column_summary_query_record(self, gradebook_column_summary_record_type): """Gets the gradebook column summary query record corresponding to the given ``GradebookColumnSummary`` record ``Type``. Multiple retrievals produce a nested ``OR`` term. arg: gradebook_column_summary_record_type (osid.type.Type): a gradebook column summary record type return: (osid.grading.records.GradebookColumnSummaryQueryRecord) - the gradebook column summary query record raise: NullArgument - ``gradebook_column_summary_record_type`` is ``null`` raise: OperationFailed - unable to complete request raise: Unsupported - ``has_record_type(gradebook_column_summary_record_type)` ` is ``false`` *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() class GradebookQuery(abc_grading_queries.GradebookQuery, osid_queries.OsidCatalogQuery): """This is the query for searching gradebooks. Each method specifies an ``AND`` term while multiple invocations of the same method produce a nested ``OR``. """ def __init__(self, runtime): self._runtime = runtime record_type_data_sets = get_registry('GRADEBOOK_RECORD_TYPES', runtime) self._all_supported_record_type_data_sets = record_type_data_sets self._all_supported_record_type_ids = [] for data_set in record_type_data_sets: self._all_supported_record_type_ids.append(str(Id(**record_type_data_sets[data_set]))) osid_queries.OsidCatalogQuery.__init__(self, runtime) def _get_descendant_catalog_ids(self, catalog_id): hm = self._get_provider_manager('HIERARCHY') hts = hm.get_hierarchy_traversal_session_for_hierarchy( Id(authority='GRADING', namespace='CATALOG', identifier='GRADEBOOK') ) # What about the Proxy? descendants = [] if hts.has_children(catalog_id): for child_id in hts.get_children(catalog_id): descendants += list(self._get_descendant_catalog_ids(child_id)) descendants.append(child_id) return IdList(descendants) @utilities.arguments_not_none def match_grade_system_id(self, grade_system_id, match): """Sets the grade system ``Id`` for this query. arg: grade_system_id (osid.id.Id): a grade system ``Id`` arg: match (boolean): ``true`` for a positive match, ``false`` for a negative match raise: NullArgument - ``grade_system_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_grade_system_id_terms(self): """Clears the grade system ``Id`` terms. *compliance: mandatory -- This method must be implemented.* """ self._clear_terms('gradeSystemId') grade_system_id_terms = property(fdel=clear_grade_system_id_terms) def supports_grade_system_query(self): """Tests if a ``GradeSystemQuery`` is available. return: (boolean) - ``true`` if a grade system query is available, ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def get_grade_system_query(self): """Gets the query for a grade system. Multiple retrievals produce a nested ``OR`` term. return: (osid.grading.GradeSystemQuery) - the grade system query raise: Unimplemented - ``supports_grade_system_query()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_grade_system_query()`` is ``true``.* """ raise errors.Unimplemented() grade_system_query = property(fget=get_grade_system_query) @utilities.arguments_not_none def match_any_grade_system(self, match): """Matches gradebooks that have any grade system. arg: match (boolean): ``true`` to match gradebooks with any grade system, ``false`` to match gradebooks with no grade system *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_grade_system_terms(self): """Clears the grade system terms. *compliance: mandatory -- This method must be implemented.* """ self._clear_terms('gradeSystem') grade_system_terms = property(fdel=clear_grade_system_terms) @utilities.arguments_not_none def match_grade_entry_id(self, grade_entry_id, match): """Sets the grade entry ``Id`` for this query. arg: grade_entry_id (osid.id.Id): a grade entry ``Id`` arg: match (boolean): ``true`` for a positive match, ``false`` for a negative match raise: NullArgument - ``grade_entry_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_grade_entry_id_terms(self): """Clears the grade entry ``Id`` terms. *compliance: mandatory -- This method must be implemented.* """ self._clear_terms('gradeEntryId') grade_entry_id_terms = property(fdel=clear_grade_entry_id_terms) def supports_grade_entry_query(self): """Tests if a ``GradeEntryQuery`` is available. return: (boolean) - ``true`` if a grade entry query is available, ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def get_grade_entry_query(self): """Gets the query for a grade entry. Multiple retrievals produce a nested ``OR`` term. return: (osid.grading.GradeEntryQuery) - the grade entry query raise: Unimplemented - ``supports_grade_entry_query()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_grade_entry_query()`` is ``true``.* """ raise errors.Unimplemented() grade_entry_query = property(fget=get_grade_entry_query) @utilities.arguments_not_none def match_any_grade_entry(self, match): """Matches gradebooks that have any grade entry. arg: match (boolean): ``true`` to match gradebooks with any grade entry, ``false`` to match gradebooks with no grade entry *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_grade_entry_terms(self): """Clears the grade entry terms. *compliance: mandatory -- This method must be implemented.* """ self._clear_terms('gradeEntry') grade_entry_terms = property(fdel=clear_grade_entry_terms) @utilities.arguments_not_none def match_gradebook_column_id(self, gradebook_column_id, match): """Sets the gradebook column ``Id`` for this query. arg: gradebook_column_id (osid.id.Id): a gradebook column ``Id`` arg: match (boolean): ``true`` for a positive match, ``false`` for a negative match raise: NullArgument - ``gradebook_column_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_gradebook_column_id_terms(self): """Clears the gradebook column ``Id`` terms. *compliance: mandatory -- This method must be implemented.* """ self._clear_terms('gradebookColumnId') gradebook_column_id_terms = property(fdel=clear_gradebook_column_id_terms) def supports_gradebook_column_query(self): """Tests if a ``GradebookColumnQuery`` is available. return: (boolean) - ``true`` if a gradebook column query is available, ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def get_gradebook_column_query(self): """Gets the query for a gradebook column. Multiple retrievals produce a nested ``OR`` term. return: (osid.grading.GradebookColumnQuery) - the gradebook column query raise: Unimplemented - ``supports_gradebook_column_query()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_gradebook_column_query()`` is ``true``.* """ raise errors.Unimplemented() gradebook_column_query = property(fget=get_gradebook_column_query) @utilities.arguments_not_none def match_any_gradebook_column(self, match): """Matches gradebooks that have any column. arg: match (boolean): ``true`` to match gradebooks with any column, ``false`` to match gradebooks with no column *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_gradebook_column_terms(self): """Clears the gradebook column terms. *compliance: mandatory -- This method must be implemented.* """ self._clear_terms('gradebookColumn') gradebook_column_terms = property(fdel=clear_gradebook_column_terms) @utilities.arguments_not_none def match_ancestor_gradebook_id(self, gradebook_id, match): """Sets the gradebook ``Id`` for this query to match gradebooks that have the specified gradebook as an ancestor. arg: gradebook_id (osid.id.Id): a gradebook ``Id`` arg: match (boolean): ``true`` for a positive match, ``false`` for a negative match raise: NullArgument - ``gradebook_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_ancestor_gradebook_id_terms(self): """Clears the ancestor gradebook ``Id`` terms. *compliance: mandatory -- This method must be implemented.* """ self._clear_terms('ancestorGradebookId') ancestor_gradebook_id_terms = property(fdel=clear_ancestor_gradebook_id_terms) def supports_ancestor_gradebook_query(self): """Tests if a ``GradebookQuery`` is available. return: (boolean) - ``true`` if a gradebook query is available, ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def get_ancestor_gradebook_query(self): """Gets the query for a gradebook. Multiple retrievals produce a nested ``OR`` term. return: (osid.grading.GradebookQuery) - the gradebook query raise: Unimplemented - ``supports_ancestor_gradebook_query()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_ancestor_gradebook_query()`` is ``true``.* """ raise errors.Unimplemented() ancestor_gradebook_query = property(fget=get_ancestor_gradebook_query) @utilities.arguments_not_none def match_any_ancestor_gradebook(self, match): """Matches gradebook with any ancestor. arg: match (boolean): ``true`` to match gradebooks with any ancestor, ``false`` to match root gradebooks *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_ancestor_gradebook_terms(self): """Clears the ancestor gradebook terms. *compliance: mandatory -- This method must be implemented.* """ self._clear_terms('ancestorGradebook') ancestor_gradebook_terms = property(fdel=clear_ancestor_gradebook_terms) @utilities.arguments_not_none def match_descendant_gradebook_id(self, gradebook_id, match): """Sets the gradebook ``Id`` for this query to match gradebooks that have the specified gradebook as a descendant. arg: gradebook_id (osid.id.Id): a gradebook ``Id`` arg: match (boolean): ``true`` for a positive match, ``false`` for a negative match raise: NullArgument - ``gradebook_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_descendant_gradebook_id_terms(self): """Clears the descendant gradebook ``Id`` terms. *compliance: mandatory -- This method must be implemented.* """ self._clear_terms('descendantGradebookId') descendant_gradebook_id_terms = property(fdel=clear_descendant_gradebook_id_terms) def supports_descendant_gradebook_query(self): """Tests if a ``GradebookQuery`` is available. return: (boolean) - ``true`` if a gradebook query is available, ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def get_descendant_gradebook_query(self): """Gets the query for a gradebook. Multiple retrievals produce a nested ``OR`` term. return: (osid.grading.GradebookQuery) - the gradebook query raise: Unimplemented - ``supports_descendant_gradebook_query()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_descendant_gradebook_query()`` is ``true``.* """ raise errors.Unimplemented() descendant_gradebook_query = property(fget=get_descendant_gradebook_query) @utilities.arguments_not_none def match_any_descendant_gradebook(self, match): """Matches gradebook with any descendant. arg: match (boolean): ``true`` to match gradebooks with any descendant, ``false`` to match leaf gradebooks *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def clear_descendant_gradebook_terms(self): """Clears the descendant gradebook terms. *compliance: mandatory -- This method must be implemented.* """ self._clear_terms('descendantGradebook') descendant_gradebook_terms = property(fdel=clear_descendant_gradebook_terms) @utilities.arguments_not_none def get_gradebook_query_record(self, gradebook_record_type): """Gets the gradebook query record corresponding to the given ``Gradebook`` record ``Type``. Multiple record retrievals produce a nested ``OR`` term. arg: gradebook_record_type (osid.type.Type): a gradebook record type return: (osid.grading.records.GradebookQueryRecord) - the gradebook query record raise: NullArgument - ``gradebook_record_type`` is ``null`` raise: OperationFailed - unable to complete request raise: Unsupported - ``has_record_type(gradebook_record_type)`` is ``false`` *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented()

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Python

chapter_11/chapter11_de.py

p-giakoumoglou/numerical_analysis

1f2e23530972baae00e793b30bb66a5aa75df02b

[ "MIT" ]

null

chapter_11/chapter11_de.py

p-giakoumoglou/numerical_analysis

1f2e23530972baae00e793b30bb66a5aa75df02b

[ "MIT" ]

null

chapter_11/chapter11_de.py

p-giakoumoglou/numerical_analysis

1f2e23530972baae00e793b30bb66a5aa75df02b

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Author: Paschalis Giakoumoglou Date: Fri Jun 18 00:42:40 2021 """ import numpy as np import math def euler(f, x0, t0, t1, dt): print("============================== Euler's Method ============================== ") print() t = np.arange(t0, t1 + dt, dt) x = np.zeros((len(t), len(x0)), np.float64) x[0, :] = x0 for n in range(len(t) - 1): x[n + 1, :] = x[n, :] + dt * f(t[n], x[n, :]) print(f"x[{n+1}] = x[{n}] + dt*f(t[{n}], x[{n}]) = {x[n, :]} + {dt}*{f(t[n], x[n, :])} = {x[n, :]} + {dt}*{f(t[n], x[n, :])} = {x[n + 1, :]}") print() print('Summing up:') for n in range(len(t)): print(f"t[{n}] = {t[n]} -> x[{n}] = {x[n,:]}") print() #return t, x def improved_euler(f, x0, t0, t1, dt): #not for systems print("============================== Improved Euler's Method ============================== ") print() t = np.arange(t0, t1 + dt, dt) x = np.zeros((len(t), len(x0)), np.float64) x[0, :] = x0 for n in range(len(t) - 1): k0 = dt * f(t[n], x[n]) k1 = dt * f(t[n+1], x[n]+k0) x[n+1, :] = x[n, :] + 1/2*(k0 + k1) print(f"k0 = dt * f(t[n], x[n]) = {dt} * {f(t[n], x[n])} = {k0}") print(f"k1 = dt * f(t[n+1], x[n]+k0) = {dt} * {f(t[n+1], x[n]+k0)} = {k1}") print(f"x[{n+1}] = x[{n}] + 1/2*(k0+k1) = {x[n, :]} + 1/2*({k0}+{k1}) = {x[n, :] + 1/2*(k0 + k1)}") print() print() print('Summing up:') for n in range(len(t)): print(f"t[{n}] = {t[n]} -> x[{n}] = {x[n,:]}") print() #return t, x def mid_point(f, x0, t0, t1, dt): print("============================== Mid Point Method ==============================") print() t = np.arange(t0, t1 + dt, dt) x = np.zeros((len(t), len(x0)), np.float64) x[0, :] = x0 for n in range(len(t) - 1): k0 = dt *f(t[n], x[n, :]) k1 = f(t[n]+1/2*dt, x[n, :]+1/2*k0) x[n+1, :] = x[n, :] + dt*k1 print(f"k0 = dt *f(t[n], x[n, :]) ={dt}*{f(t[n], x[n])} = {k0}") print(f"k1 = f(t[n]+1/2*dt, x[n, :]+1/2*k0) = {dt}*f({t[n]+1/2*dt},{x[n]+1/2*k0}) = {dt}*{f(t[n]+1/2*dt, x[n]+1/2*k0)} = {k1}") print(f"x[{n + 1}] = x[{n}] + {dt}*{k1} = {x[n + 1]} ") print() print() print('Summing up:') for n in range(len(t)): print(f"t[{n}] = {t[n]} -> x[{n}] = {x[n,:]}") print() #return t, x def runge_kutta(f, x0, t0, t1, dt): #not for systems print("============================== Runge Kutta Method ==============================") print() t = np.arange(t0, t1 + dt, dt) x = np.zeros((len(t), len(x0)), np.float64) x[0, :] = x0 for n in range(len(t) - 1): k0 = dt*f(t[n], x[n, :]) k1 = dt*f(t[n]+1/2*dt, x[n, :]+1/2*k0) k2 = dt*f(t[n]+1/2*dt, x[n, :]+1/2*k1) k3 = dt*f(t[n+1], x[n, :]+k2) x[n+1, :] = x[n, :] + 1/6*(k0 + 2*k1 + 2*k2 + k3) print(f"k0 = {dt}*f({t[n]}, {x[n]}) = {dt}*{f(t[n], x[n])} = {dt*f(t[n], x[n])}") print(f"k1 = {dt}*f({t[n]+1/2*dt}, {x[n]+1/2*k0}) = {dt}*{f(t[n]+1/2*dt, x[n, :]+1/2*k0)} ={k1}") print(f"k2 = {dt}*f({t[n]+1/2*dt}, {x[n]+1/2*k1}) = {dt}*{f(t[n]+1/2*dt, x[n, :]+1/2*k1)} ={k2}") print(f"k3 = {dt}*f({t[n+1]}, {x[n]+k2}) = {dt}*{f(t[n+1], x[n, :]+k2)} ={k3}") print(f"x[{n + 1}] = x[{n}] + 1/6*(k0 + 2*k1 + 2*k2 + k3) = {x[n, :]} + 1/6*({k0} + 2*{k1} + 2*{k2} + {k3}) = {x[n+1, :]}") print() print() print('Summing up:') for n in range(len(t)): print(f"t[{n}] = {t[n]} -> x[{n}] = {x[n,:]}") print() #return t, x def mult_steps(f, x0, t0, t1, dt): print("============================== Multi Step Method ==============================") print() x=5 if __name__ == "__main__": # Example 1 def f(t, x): return -x+t+1 x0 = np.array([1]) t0 = 0 t1 = 1 dt = 0.1 # = (t0-t1)/N euler(f, x0, t0, t1, dt) improved_euler(f, x0, t0, t1, dt) mid_point(f, x0, t0, t1, dt) runge_kutta(f, x0, t0, t1, dt) # Example 2: System def F(t, x): return np.array([1.1 * x[0] - 0.4 * x[0] * x[1], 0.4 * x[0] * x[1] - 0.1 * x[1]]) x0 = np.array([1,2]) t0 = 0 t1 = 1 dt = 0.1 # = (t0-t1)/N euler(F, x0, t0, t1, dt) improved_euler(F, x0, t0, t1, dt) mid_point(F, x0, t0, t1, dt) runge_kutta(F, x0, t0, t1, dt) #Example 2018 def G(t, x): return np.array([-3*x[0]+2*x[1], 3*x[0]-4*x[1]]) x0 = np.array([0, 0.5]) t0 = 0 t1 = 0.4 dt = 0.2 runge_kutta(G, x0, t0, t1, dt) #Example 2019 def f(t, x): return t**2-math.exp(x)*math.sin(t) x0 = np.array([1]) t0 = 0 t1 = 0.5 dt = 0.25 runge_kutta(f, x0, t0, t1, dt) #Example 2019 def f(t, x): return t**3 - 4*x x0 = np.array([1]) t0 = 0 t1 = 0.4 dt = 0.2 improved_euler(f, x0, t0, t1, dt) mid_point(f, x0, t0, t1, dt)

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0.081283

0.063983

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802b8b3093ce9d8508ae39382fcfaaaaa4dd5f85

3,574

py

Python

tests/core/test_utils.py

SmallCream/django-cool

63b136da7ce39135c9f900e8161288f8fc8893a4

[ "BSD-3-Clause" ]

11

2020-05-19T09:52:35.000Z

2022-02-25T10:39:56.000Z

tests/core/test_utils.py

SmallCream/django-cool

63b136da7ce39135c9f900e8161288f8fc8893a4

[ "BSD-3-Clause" ]

null

tests/core/test_utils.py

SmallCream/django-cool

63b136da7ce39135c9f900e8161288f8fc8893a4

[ "BSD-3-Clause" ]

1

2020-12-24T08:14:58.000Z

# encoding: utf-8 import unittest from django.contrib.auth import models from django.test import TestCase from cool.core import utils class SplitCamelNameTests(unittest.TestCase): def test_simple(self): self.assertListEqual(utils.split_camel_name("GetSimpleView"), ['Get', 'Simple', 'View']) def test_consecutive_capital_letters_1(self): self.assertListEqual(utils.split_camel_name("GenerateURL"), ['Generate', 'URL']) def test_consecutive_capital_letters_2(self): self.assertListEqual(utils.split_camel_name("GenerateURLs"), ['Generate', 'URLs']) def test_consecutive_capital_letters_3(self): self.assertListEqual(utils.split_camel_name("generateURLs"), ['generate', 'URLs']) def test_consecutive_capital_letters_4(self): self.assertListEqual(utils.split_camel_name("generateURL"), ['generate', 'URL']) def test_consecutive_capital_letterse_5(self): self.assertListEqual(utils.split_camel_name("GenerateURLsLite"), ['Generate', 'URLs', 'Lite']) def test_consecutive_capital_letters_6(self): self.assertListEqual(utils.split_camel_name("GenerateURLLite"), ['Generate', 'URLLite']) def test_consecutive_capital_letters_7(self): self.assertListEqual(utils.split_camel_name("generateURLsLite"), ['generate', 'URLs', 'Lite']) def test_consecutive_capital_letters_8(self): self.assertListEqual(utils.split_camel_name("generateURLLite"), ['generate', 'URLLite']) def test_one_word(self): self.assertListEqual(utils.split_camel_name("generate"), ['generate']) def test_one_word_title_case(self): self.assertListEqual(utils.split_camel_name("Generate"), ['Generate']) def test_empty_str(self): self.assertListEqual(utils.split_camel_name(""), []) def test_test_consecutive_capital_letters_fall_1(self): self.assertListEqual(utils.split_camel_name("generateURL", fall=True), ['generate', 'URL']) def test_test_consecutive_capital_letters_fall_2(self): self.assertListEqual(utils.split_camel_name("GenerateURLLite", fall=True), ['Generate', 'URL', 'Lite']) def test_test_consecutive_capital_letters_fall_3(self): self.assertListEqual(utils.split_camel_name("generateURLLite", fall=True), ['generate', 'URL', 'Lite']) def test_one_word_fall(self): self.assertListEqual(utils.split_camel_name("generate", fall=True), ['generate']) def test_one_word_title_case_fall(self): self.assertListEqual(utils.split_camel_name("Generate", fall=True), ['Generate']) class ConstructSearchTests(TestCase): def test_short_istartswithh(self): self.assertEqual(utils.construct_search(models.User.objects, '^username'), "username__istartswith") def test_short_iexact(self): self.assertEqual(utils.construct_search(models.User.objects, '=username'), "username__iexact") def test_short_icontains(self): self.assertEqual(utils.construct_search(models.User.objects, 'username'), "username__icontains") def test_icontains(self): self.assertEqual(utils.construct_search(models.User.objects, 'username__icontains'), "username__icontains") def test_foreign_key_field(self): self.assertEqual(utils.construct_search( models.Permission.objects, 'content_type__app_label'), "content_type__app_label__icontains" ) def test_foreign_key_pk_field(self): self.assertEqual(utils.construct_search( models.Permission.objects, 'content_type__pk'), "content_type__pk__icontains" )

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0

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86

116

41.55814

0.802205

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false

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null

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1

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null

0

1

0

1

0

7

8056d63127881edcd10d8f935c8daf372292e399

21,820

py

Python

sdk/python/pulumi_vultr/firewall_rule.py

vincentbernat/pulumi-vultr

171c75f59d169a62e5486bf9e7f6f421bbe0b7c8

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

null

sdk/python/pulumi_vultr/firewall_rule.py

vincentbernat/pulumi-vultr

171c75f59d169a62e5486bf9e7f6f421bbe0b7c8

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

null

sdk/python/pulumi_vultr/firewall_rule.py

vincentbernat/pulumi-vultr

171c75f59d169a62e5486bf9e7f6f421bbe0b7c8

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

null

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from . import _utilities __all__ = ['FirewallRuleArgs', 'FirewallRule'] @pulumi.input_type class FirewallRuleArgs: def __init__(__self__, *, firewall_group_id: pulumi.Input[str], ip_type: pulumi.Input[str], protocol: pulumi.Input[str], subnet: pulumi.Input[str], subnet_size: pulumi.Input[int], notes: Optional[pulumi.Input[str]] = None, port: Optional[pulumi.Input[str]] = None, source: Optional[pulumi.Input[str]] = None): """ The set of arguments for constructing a FirewallRule resource. :param pulumi.Input[str] firewall_group_id: The firewall group that the firewall rule will belong to. :param pulumi.Input[str] ip_type: The type of ip for this firewall rule. Possible values (v4, v6) **Note** they must be lowercase :param pulumi.Input[str] protocol: The type of protocol for this firewall rule. Possible values (icmp, tcp, udp, gre, esp, ah) **Note** they must be lowercase :param pulumi.Input[str] subnet: IP address that you want to define for this firewall rule. :param pulumi.Input[int] subnet_size: The number of bits for the subnet in CIDR notation. Example: 32. :param pulumi.Input[str] notes: A simple note for a given firewall rule :param pulumi.Input[str] port: TCP/UDP only. This field can be a specific port or a colon separated port range. :param pulumi.Input[str] source: Possible values ("", cloudflare) """ pulumi.set(__self__, "firewall_group_id", firewall_group_id) pulumi.set(__self__, "ip_type", ip_type) pulumi.set(__self__, "protocol", protocol) pulumi.set(__self__, "subnet", subnet) pulumi.set(__self__, "subnet_size", subnet_size) if notes is not None: pulumi.set(__self__, "notes", notes) if port is not None: pulumi.set(__self__, "port", port) if source is not None: pulumi.set(__self__, "source", source) @property @pulumi.getter(name="firewallGroupId") def firewall_group_id(self) -> pulumi.Input[str]: """ The firewall group that the firewall rule will belong to. """ return pulumi.get(self, "firewall_group_id") @firewall_group_id.setter def firewall_group_id(self, value: pulumi.Input[str]): pulumi.set(self, "firewall_group_id", value) @property @pulumi.getter(name="ipType") def ip_type(self) -> pulumi.Input[str]: """ The type of ip for this firewall rule. Possible values (v4, v6) **Note** they must be lowercase """ return pulumi.get(self, "ip_type") @ip_type.setter def ip_type(self, value: pulumi.Input[str]): pulumi.set(self, "ip_type", value) @property @pulumi.getter def protocol(self) -> pulumi.Input[str]: """ The type of protocol for this firewall rule. Possible values (icmp, tcp, udp, gre, esp, ah) **Note** they must be lowercase """ return pulumi.get(self, "protocol") @protocol.setter def protocol(self, value: pulumi.Input[str]): pulumi.set(self, "protocol", value) @property @pulumi.getter def subnet(self) -> pulumi.Input[str]: """ IP address that you want to define for this firewall rule. """ return pulumi.get(self, "subnet") @subnet.setter def subnet(self, value: pulumi.Input[str]): pulumi.set(self, "subnet", value) @property @pulumi.getter(name="subnetSize") def subnet_size(self) -> pulumi.Input[int]: """ The number of bits for the subnet in CIDR notation. Example: 32. """ return pulumi.get(self, "subnet_size") @subnet_size.setter def subnet_size(self, value: pulumi.Input[int]): pulumi.set(self, "subnet_size", value) @property @pulumi.getter def notes(self) -> Optional[pulumi.Input[str]]: """ A simple note for a given firewall rule """ return pulumi.get(self, "notes") @notes.setter def notes(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "notes", value) @property @pulumi.getter def port(self) -> Optional[pulumi.Input[str]]: """ TCP/UDP only. This field can be a specific port or a colon separated port range. """ return pulumi.get(self, "port") @port.setter def port(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "port", value) @property @pulumi.getter def source(self) -> Optional[pulumi.Input[str]]: """ Possible values ("", cloudflare) """ return pulumi.get(self, "source") @source.setter def source(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "source", value) @pulumi.input_type class _FirewallRuleState: def __init__(__self__, *, firewall_group_id: Optional[pulumi.Input[str]] = None, ip_type: Optional[pulumi.Input[str]] = None, notes: Optional[pulumi.Input[str]] = None, port: Optional[pulumi.Input[str]] = None, protocol: Optional[pulumi.Input[str]] = None, source: Optional[pulumi.Input[str]] = None, subnet: Optional[pulumi.Input[str]] = None, subnet_size: Optional[pulumi.Input[int]] = None): """ Input properties used for looking up and filtering FirewallRule resources. :param pulumi.Input[str] firewall_group_id: The firewall group that the firewall rule will belong to. :param pulumi.Input[str] ip_type: The type of ip for this firewall rule. Possible values (v4, v6) **Note** they must be lowercase :param pulumi.Input[str] notes: A simple note for a given firewall rule :param pulumi.Input[str] port: TCP/UDP only. This field can be a specific port or a colon separated port range. :param pulumi.Input[str] protocol: The type of protocol for this firewall rule. Possible values (icmp, tcp, udp, gre, esp, ah) **Note** they must be lowercase :param pulumi.Input[str] source: Possible values ("", cloudflare) :param pulumi.Input[str] subnet: IP address that you want to define for this firewall rule. :param pulumi.Input[int] subnet_size: The number of bits for the subnet in CIDR notation. Example: 32. """ if firewall_group_id is not None: pulumi.set(__self__, "firewall_group_id", firewall_group_id) if ip_type is not None: pulumi.set(__self__, "ip_type", ip_type) if notes is not None: pulumi.set(__self__, "notes", notes) if port is not None: pulumi.set(__self__, "port", port) if protocol is not None: pulumi.set(__self__, "protocol", protocol) if source is not None: pulumi.set(__self__, "source", source) if subnet is not None: pulumi.set(__self__, "subnet", subnet) if subnet_size is not None: pulumi.set(__self__, "subnet_size", subnet_size) @property @pulumi.getter(name="firewallGroupId") def firewall_group_id(self) -> Optional[pulumi.Input[str]]: """ The firewall group that the firewall rule will belong to. """ return pulumi.get(self, "firewall_group_id") @firewall_group_id.setter def firewall_group_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "firewall_group_id", value) @property @pulumi.getter(name="ipType") def ip_type(self) -> Optional[pulumi.Input[str]]: """ The type of ip for this firewall rule. Possible values (v4, v6) **Note** they must be lowercase """ return pulumi.get(self, "ip_type") @ip_type.setter def ip_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "ip_type", value) @property @pulumi.getter def notes(self) -> Optional[pulumi.Input[str]]: """ A simple note for a given firewall rule """ return pulumi.get(self, "notes") @notes.setter def notes(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "notes", value) @property @pulumi.getter def port(self) -> Optional[pulumi.Input[str]]: """ TCP/UDP only. This field can be a specific port or a colon separated port range. """ return pulumi.get(self, "port") @port.setter def port(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "port", value) @property @pulumi.getter def protocol(self) -> Optional[pulumi.Input[str]]: """ The type of protocol for this firewall rule. Possible values (icmp, tcp, udp, gre, esp, ah) **Note** they must be lowercase """ return pulumi.get(self, "protocol") @protocol.setter def protocol(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "protocol", value) @property @pulumi.getter def source(self) -> Optional[pulumi.Input[str]]: """ Possible values ("", cloudflare) """ return pulumi.get(self, "source") @source.setter def source(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "source", value) @property @pulumi.getter def subnet(self) -> Optional[pulumi.Input[str]]: """ IP address that you want to define for this firewall rule. """ return pulumi.get(self, "subnet") @subnet.setter def subnet(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "subnet", value) @property @pulumi.getter(name="subnetSize") def subnet_size(self) -> Optional[pulumi.Input[int]]: """ The number of bits for the subnet in CIDR notation. Example: 32. """ return pulumi.get(self, "subnet_size") @subnet_size.setter def subnet_size(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "subnet_size", value) class FirewallRule(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, firewall_group_id: Optional[pulumi.Input[str]] = None, ip_type: Optional[pulumi.Input[str]] = None, notes: Optional[pulumi.Input[str]] = None, port: Optional[pulumi.Input[str]] = None, protocol: Optional[pulumi.Input[str]] = None, source: Optional[pulumi.Input[str]] = None, subnet: Optional[pulumi.Input[str]] = None, subnet_size: Optional[pulumi.Input[int]] = None, __props__=None): """ Provides a Vultr Firewall Rule resource. This can be used to create, read, modify, and delete Firewall rules. ## Example Usage Create a Firewall Rule ```python import pulumi import pulumi_vultr as vultr my_firewallgroup = vultr.FirewallGroup("myFirewallgroup", description="base firewall") my_firewallrule = vultr.FirewallRule("myFirewallrule", firewall_group_id=my_firewallgroup.id, protocol="tcp", ip_type="v4", subnet="0.0.0.0", subnet_size=0, port="8090", notes="my firewall rule") ``` ## Import Firewall Rules can be imported using the Firewall Group `ID` and Firewall Rule `ID`, e.g. ```sh $ pulumi import vultr:index/firewallRule:FirewallRule my_rule b6a859c5-b299-49dd-8888-b1abbc517d08,1 ``` :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] firewall_group_id: The firewall group that the firewall rule will belong to. :param pulumi.Input[str] ip_type: The type of ip for this firewall rule. Possible values (v4, v6) **Note** they must be lowercase :param pulumi.Input[str] notes: A simple note for a given firewall rule :param pulumi.Input[str] port: TCP/UDP only. This field can be a specific port or a colon separated port range. :param pulumi.Input[str] protocol: The type of protocol for this firewall rule. Possible values (icmp, tcp, udp, gre, esp, ah) **Note** they must be lowercase :param pulumi.Input[str] source: Possible values ("", cloudflare) :param pulumi.Input[str] subnet: IP address that you want to define for this firewall rule. :param pulumi.Input[int] subnet_size: The number of bits for the subnet in CIDR notation. Example: 32. """ ... @overload def __init__(__self__, resource_name: str, args: FirewallRuleArgs, opts: Optional[pulumi.ResourceOptions] = None): """ Provides a Vultr Firewall Rule resource. This can be used to create, read, modify, and delete Firewall rules. ## Example Usage Create a Firewall Rule ```python import pulumi import pulumi_vultr as vultr my_firewallgroup = vultr.FirewallGroup("myFirewallgroup", description="base firewall") my_firewallrule = vultr.FirewallRule("myFirewallrule", firewall_group_id=my_firewallgroup.id, protocol="tcp", ip_type="v4", subnet="0.0.0.0", subnet_size=0, port="8090", notes="my firewall rule") ``` ## Import Firewall Rules can be imported using the Firewall Group `ID` and Firewall Rule `ID`, e.g. ```sh $ pulumi import vultr:index/firewallRule:FirewallRule my_rule b6a859c5-b299-49dd-8888-b1abbc517d08,1 ``` :param str resource_name: The name of the resource. :param FirewallRuleArgs 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(FirewallRuleArgs, 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, firewall_group_id: Optional[pulumi.Input[str]] = None, ip_type: Optional[pulumi.Input[str]] = None, notes: Optional[pulumi.Input[str]] = None, port: Optional[pulumi.Input[str]] = None, protocol: Optional[pulumi.Input[str]] = None, source: Optional[pulumi.Input[str]] = None, subnet: Optional[pulumi.Input[str]] = None, subnet_size: Optional[pulumi.Input[int]] = 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__ = FirewallRuleArgs.__new__(FirewallRuleArgs) if firewall_group_id is None and not opts.urn: raise TypeError("Missing required property 'firewall_group_id'") __props__.__dict__["firewall_group_id"] = firewall_group_id if ip_type is None and not opts.urn: raise TypeError("Missing required property 'ip_type'") __props__.__dict__["ip_type"] = ip_type __props__.__dict__["notes"] = notes __props__.__dict__["port"] = port if protocol is None and not opts.urn: raise TypeError("Missing required property 'protocol'") __props__.__dict__["protocol"] = protocol __props__.__dict__["source"] = source if subnet is None and not opts.urn: raise TypeError("Missing required property 'subnet'") __props__.__dict__["subnet"] = subnet if subnet_size is None and not opts.urn: raise TypeError("Missing required property 'subnet_size'") __props__.__dict__["subnet_size"] = subnet_size super(FirewallRule, __self__).__init__( 'vultr:index/firewallRule:FirewallRule', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, firewall_group_id: Optional[pulumi.Input[str]] = None, ip_type: Optional[pulumi.Input[str]] = None, notes: Optional[pulumi.Input[str]] = None, port: Optional[pulumi.Input[str]] = None, protocol: Optional[pulumi.Input[str]] = None, source: Optional[pulumi.Input[str]] = None, subnet: Optional[pulumi.Input[str]] = None, subnet_size: Optional[pulumi.Input[int]] = None) -> 'FirewallRule': """ Get an existing FirewallRule resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] firewall_group_id: The firewall group that the firewall rule will belong to. :param pulumi.Input[str] ip_type: The type of ip for this firewall rule. Possible values (v4, v6) **Note** they must be lowercase :param pulumi.Input[str] notes: A simple note for a given firewall rule :param pulumi.Input[str] port: TCP/UDP only. This field can be a specific port or a colon separated port range. :param pulumi.Input[str] protocol: The type of protocol for this firewall rule. Possible values (icmp, tcp, udp, gre, esp, ah) **Note** they must be lowercase :param pulumi.Input[str] source: Possible values ("", cloudflare) :param pulumi.Input[str] subnet: IP address that you want to define for this firewall rule. :param pulumi.Input[int] subnet_size: The number of bits for the subnet in CIDR notation. Example: 32. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _FirewallRuleState.__new__(_FirewallRuleState) __props__.__dict__["firewall_group_id"] = firewall_group_id __props__.__dict__["ip_type"] = ip_type __props__.__dict__["notes"] = notes __props__.__dict__["port"] = port __props__.__dict__["protocol"] = protocol __props__.__dict__["source"] = source __props__.__dict__["subnet"] = subnet __props__.__dict__["subnet_size"] = subnet_size return FirewallRule(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="firewallGroupId") def firewall_group_id(self) -> pulumi.Output[str]: """ The firewall group that the firewall rule will belong to. """ return pulumi.get(self, "firewall_group_id") @property @pulumi.getter(name="ipType") def ip_type(self) -> pulumi.Output[str]: """ The type of ip for this firewall rule. Possible values (v4, v6) **Note** they must be lowercase """ return pulumi.get(self, "ip_type") @property @pulumi.getter def notes(self) -> pulumi.Output[Optional[str]]: """ A simple note for a given firewall rule """ return pulumi.get(self, "notes") @property @pulumi.getter def port(self) -> pulumi.Output[Optional[str]]: """ TCP/UDP only. This field can be a specific port or a colon separated port range. """ return pulumi.get(self, "port") @property @pulumi.getter def protocol(self) -> pulumi.Output[str]: """ The type of protocol for this firewall rule. Possible values (icmp, tcp, udp, gre, esp, ah) **Note** they must be lowercase """ return pulumi.get(self, "protocol") @property @pulumi.getter def source(self) -> pulumi.Output[Optional[str]]: """ Possible values ("", cloudflare) """ return pulumi.get(self, "source") @property @pulumi.getter def subnet(self) -> pulumi.Output[str]: """ IP address that you want to define for this firewall rule. """ return pulumi.get(self, "subnet") @property @pulumi.getter(name="subnetSize") def subnet_size(self) -> pulumi.Output[int]: """ The number of bits for the subnet in CIDR notation. Example: 32. """ return pulumi.get(self, "subnet_size")

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0

1

0

1

0

null

0

7

337e44854f818ed5a728b6973405dd69567e7602

2,027

py

Python

pyslash/decorators.py

starsflower/discordpy-slash-commands

ec72d2b24c369ba40a0f5c07c7959ba00dc4ded7

[ "MIT" ]

1

2021-05-10T14:00:40.000Z

pyslash/decorators.py

amcwb/discordpy-slash-commands

ec72d2b24c369ba40a0f5c07c7959ba00dc4ded7

[ "MIT" ]

1

2021-10-31T06:53:48.000Z

2021-11-04T19:51:31.000Z

pyslash/decorators.py

amcwb/discordpy-slash-commands

ec72d2b24c369ba40a0f5c07c7959ba00dc4ded7

[ "MIT" ]

null

from typing import List from discord_slash import SlashCommand, cog_ext from .converters import convert from .utils import * def slash_cog(name: str = None, description: str = None, guild_ids: List[int] = None, remove_underscore_keywords: bool = True): """ Add a command to a cog Parameters ---------- name : str, optional The name of the command, by default None description : str, optional The description, by default None guild_ids : List[int], optional The guild IDs to add the command to, by default None remove_underscore_keywords : bool, optional Whether to remove _ from the end of arguments that would be keywords, by default True """ def decorator(function): # Use annotations params, converter_params = get_slash_kwargs( function, name, description, guild_ids, remove_underscore_keywords) return cog_ext.cog_slash(**params)(convert(**converter_params)(function)) return decorator def slash(slash_class: SlashCommand, name: str = None, description: str = None, guild_ids: List[int] = None, remove_underscore_keywords: bool = True): """ Add a command to a bot at the top level Parameters ---------- slash_class : SlashCommand The slash object to add this command to name : str, optional The name of the command, by default None description : str, optional The description, by default None guild_ids : List[int], optional The guild IDs to add the command to, by default None remove_underscore_keywords : bool, optional Whether to remove _ from the end of arguments that would be keywords, by default True """ def decorator(function): # Use annotations params, converter_params = get_slash_kwargs( function, name, description, guild_ids, remove_underscore_keywords) return slash_class.slash(**params)(convert(**converter_params)(function)) return decorator

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0

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1

0

8

33828d9e622c6cbdd530c2099452e50b75b55fdb

40,940

py

Python

rkpass/pipelines.py

windowshappy/python

02b43b657a284b2db300ce7d7862e5032c688b1d

[ "MIT" ]

10

2019-01-17T15:09:01.000Z

2022-03-01T06:19:22.000Z

rkpass/pipelines.py

windowshappy/python

02b43b657a284b2db300ce7d7862e5032c688b1d

[ "MIT" ]

null

rkpass/pipelines.py

windowshappy/python

02b43b657a284b2db300ce7d7862e5032c688b1d

[ "MIT" ]

6

2018-10-29T15:31:50.000Z

2020-08-13T08:34:46.000Z

# -*- coding: utf-8 -*- # Define your item pipelines here # # Don't forget to add your pipeline to the ITEM_PIPELINES setting # See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html import pymysql import scrapy import re from scrapy.exceptions import DropItem from scrapy.pipelines.images import ImagesPipeline # 上午题库入库 class RkpassPipeline(object): def __init__(self, host, port, database, username, password): self.host = host self.port = port self.database = database self.username = username self.password = password @classmethod def from_crawler(cls, crawler): return cls( host=crawler.settings.get('MYSQL_HOST'), port=crawler.settings.get('MYSQL_PORT'), database=crawler.settings.get('MYSQL_DATABASE'), username=crawler.settings.get('MYSQL_USERNAME'), password=crawler.settings.get('MYSQL_PASSWORD'), ) def open_spider(self, spider): self.db = pymysql.connect(self.host, self.username, self.password, self.database, charset='utf8', port=self.port) self.cursor = self.db.cursor() def close_spider(self, spider): self.db.close() def process_item(self, item, spider): data = dict(item) insert_sql = "insert into morning(question, questionImg, optiona, optionb, optionc, optiond, answer, answeranalysis, field, questionNum, knowledgeOne, knowledgeTwo) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)" try: # 执行sql语句 self.cursor.execute(insert_sql, tuple(data.values())) # 提交到数据库执行 self.db.commit() except: # 如果发生错误则回滚 self.db.rollback() return item # 题目图片下载器 class QuestionImagePipeline(ImagesPipeline): def file_path(self, request, response=None, info=None): item = request.meta['item'] url = request.url file_name = item['field'] + '/' + url.split('/')[-1] return file_name def get_media_requests(self, item, info): if item['questionImg']: yield scrapy.Request(item['questionImg'], meta={'item': item}) else: return item def item_completed(self, results, item, info): image_path = [x['path'] for ok, x in results if ok] if not image_path: # raise DropItem("Item contains no images") return item else: item['questionImg'] = '/storage/images/' + "".join(image_path) return item # 选项A图片下载 class OptionAImagePipeline(ImagesPipeline): def file_path(self, request, response=None, info=None): item = request.meta['item'] url = request.url file_name = item['field'] + '/' + url.split('/')[-1] return file_name def get_media_requests(self, item, info): url = "".join(re.findall(r'http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*,]|(?:%[0-9a-fA-F][0-9a-fA-F]))+', item['optiona'])) if url: yield scrapy.Request(url, meta={'item': item}) else: return item def item_completed(self, results, item, info): image_path = [x['path'] for ok, x in results if ok] if not image_path: # raise DropItem("Item contains no images") return item else: item['optiona'] = 'A.' + '/storage/images/' + "".join(image_path) return item # 选项B图片下载 class OptionBImagePipeline(ImagesPipeline): def file_path(self, request, response=None, info=None): item = request.meta['item'] url = request.url file_name = item['field'] + '/' + url.split('/')[-1] return file_name def get_media_requests(self, item, info): url = "".join(re.findall(r'http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*,]|(?:%[0-9a-fA-F][0-9a-fA-F]))+', item['optionb'])) if url: yield scrapy.Request(url, meta={'item': item}) else: return item def item_completed(self, results, item, info): image_path = [x['path'] for ok, x in results if ok] if not image_path: # raise DropItem("Item contains no images") return item else: item['optionb'] = 'B.' + '/storage/images/' + "".join(image_path) return item # 选项C图片下载 class OptionCImagePipeline(ImagesPipeline): def file_path(self, request, response=None, info=None): item = request.meta['item'] url = request.url file_name = item['field'] + '/' + url.split('/')[-1] return file_name def get_media_requests(self, item, info): url = "".join(re.findall(r'http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*,]|(?:%[0-9a-fA-F][0-9a-fA-F]))+', item['optionc'])) if url: yield scrapy.Request(url, meta={'item': item}) else: return item def item_completed(self, results, item, info): image_path = [x['path'] for ok, x in results if ok] if not image_path: # raise DropItem("Item contains no images") return item else: item['optionc'] = 'C.' + '/storage/images/' + "".join(image_path) return item # 选项D图片下载 class OptionDImagePipeline(ImagesPipeline): def file_path(self, request, response=None, info=None): item = request.meta['item'] url = request.url file_name = item['field'] + '/' + url.split('/')[-1] return file_name def get_media_requests(self, item, info): url = "".join(re.findall(r'http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*,]|(?:%[0-9a-fA-F][0-9a-fA-F]))+', item['optiond'])) if url: yield scrapy.Request(url, meta={'item': item}) else: return item def item_completed(self, results, item, info): image_path = [x['path'] for ok, x in results if ok] if not image_path: # raise DropItem("Item contains no images") return item else: item['optiond'] = 'D.' + '/storage/images/' + "".join(image_path) return item # 下午题库入库 class AfterPipeline(object): def __init__(self, host, port, database, username, password): self.host = host self.port = port self.database = database self.username = username self.password = password @classmethod def from_crawler(cls, crawler): return cls( host=crawler.settings.get('MYSQL_HOST'), port=crawler.settings.get('MYSQL_PORT'), database=crawler.settings.get('MYSQL_DATABASE'), username=crawler.settings.get('MYSQL_USERNAME'), password=crawler.settings.get('MYSQL_PASSWORD'), ) def open_spider(self, spider): self.db = pymysql.connect(self.host, self.username, self.password, self.database, charset='utf8', port=self.port) self.cursor = self.db.cursor() def close_spider(self, spider): self.db.close() def process_item(self, item, spider): data = dict(item) insert_sql = "insert into afternoon(question, questionImg, optionA, optionB, optionC, optionD, optionE, optionAanswer, optionAanswerImg, optionBanswer, optionBanswerImg, optionCanswer, optionCanswerImg, optionDanswer, optionDanswerImg, optionEanswer, optionEanswerImg, field) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)" try: # 执行sql语句 self.cursor.execute(insert_sql, tuple(data.values())) # 提交到数据库执行 self.db.commit() except: # 如果发生错误则回滚 self.db.rollback() return item # 题目图片下载器 class AfterQuestionImagePipeline(ImagesPipeline): def file_path(self, request, response=None, info=None): item = request.meta['item'] url = request.url file_name = item['field'] + '/' + url.split('/')[-1] return file_name def get_media_requests(self, item, info): if "".join(item['questionImg']): # 判断题目中是否有图片有则循环遍历list下载图片否则直接返回空值 for img_item in item['questionImg']: yield scrapy.Request(img_item, meta={'item': item}) else: item['questionImg'] = "".join(item['questionImg']) # 巨坑 list不能直接入库(转成string) return item def item_completed(self, results, item, info): image_path = [x['path'] for ok, x in results if ok] if not image_path: # raise DropItem("Item contains no images") return item else: tempimg = '' # 对于题目多图片进行拼接合成一个字符串 (用;区分每一张图片) for local_img in image_path: tempimg += '/storage/images/' + local_img + ';' item['questionImg'] = tempimg return item # 问题一图片下载 class optionAanswerImgPipeline(ImagesPipeline): def file_path(self, request, response=None, info=None): item = request.meta['item'] url = request.url file_name = item['field'] + '/' + url.split('/')[-1] return file_name def get_media_requests(self, item, info): if "".join(item['optionAanswerImg']): for img_item in item['optionAanswerImg']: yield scrapy.Request(img_item, meta={'item': item}) else: item['optionAanswerImg'] = "".join(item['optionAanswerImg']) return item def item_completed(self, results, item, info): image_path = [x['path'] for ok, x in results if ok] if not image_path: # raise DropItem("Item contains no images") return item else: tempimg = '' # 对于题目多图片进行拼接合成一个字符串 (用;区分每一张图片) for local_img in image_path: tempimg += '/storage/images/' + local_img + ';' item['optionAanswerImg'] = tempimg return item # 问题二图片下载 class optionBanswerImgPipeline(ImagesPipeline): def file_path(self, request, response=None, info=None): item = request.meta['item'] url = request.url file_name = item['field'] + '/' + url.split('/')[-1] return file_name def get_media_requests(self, item, info): if "".join(item['optionBanswerImg']): for img_item in item['optionBanswerImg']: yield scrapy.Request(img_item, meta={'item': item}) else: item['optionBanswerImg'] = "".join(item['optionBanswerImg']) return item def item_completed(self, results, item, info): image_path = [x['path'] for ok, x in results if ok] if not image_path: # raise DropItem("Item contains no images") return item else: tempimg = '' # 对于题目多图片进行拼接合成一个字符串 (用;区分每一张图片) for local_img in image_path: tempimg += '/storage/images/' + local_img + ';' item['optionBanswerImg'] = tempimg return item # 问题三图片下载 class optionCanswerImgPipeline(ImagesPipeline): def file_path(self, request, response=None, info=None): item = request.meta['item'] url = request.url file_name = item['field'] + '/' + url.split('/')[-1] return file_name def get_media_requests(self, item, info): if "".join(item['optionCanswerImg']): for img_item in item['optionCanswerImg']: yield scrapy.Request(img_item, meta={'item': item}) else: item['optionCanswerImg'] = "".join(item['optionCanswerImg']) return item def item_completed(self, results, item, info): image_path = [x['path'] for ok, x in results if ok] if not image_path: # raise DropItem("Item contains no images") return item else: tempimg = '' # 对于题目多图片进行拼接合成一个字符串 (用;区分每一张图片) for local_img in image_path: tempimg += '/storage/images/' + local_img + ';' item['optionCanswerImg'] = tempimg return item # 问题四图片下载 class optionDanswerImgPipeline(ImagesPipeline): def file_path(self, request, response=None, info=None): item = request.meta['item'] url = request.url file_name = item['field'] + '/' + url.split('/')[-1] return file_name def get_media_requests(self, item, info): if "".join(item['optionDanswerImg']): for img_item in item['optionDanswerImg']: yield scrapy.Request(img_item, meta={'item': item}) else: item['optionDanswerImg'] = "".join(item['optionDanswerImg']) return item def item_completed(self, results, item, info): image_path = [x['path'] for ok, x in results if ok] if not image_path: # raise DropItem("Item contains no images") return item else: tempimg = '' # 对于题目多图片进行拼接合成一个字符串 (用;区分每一张图片) for local_img in image_path: tempimg += '/storage/images/' + local_img + ';' item['optionDanswerImg'] = tempimg return item # 问题五图片下载 class optionEanswerImgPipeline(ImagesPipeline): def file_path(self, request, response=None, info=None): item = request.meta['item'] url = request.url file_name = item['field'] + '/' + url.split('/')[-1] return file_name def get_media_requests(self, item, info): if "".join(item['optionEanswerImg']): for img_item in item['optionEanswerImg']: yield scrapy.Request(img_item, meta={'item': item}) else: item['optionEanswerImg'] = "".join(item['optionEanswerImg']) return item def item_completed(self, results, item, info): image_path = [x['path'] for ok, x in results if ok] if not image_path: # raise DropItem("Item contains no images") return item else: tempimg = '' # 对于题目多图片进行拼接合成一个字符串 (用;区分每一张图片) for local_img in image_path: tempimg += '/storage/images/' + local_img + ';' item['optionEanswerImg'] = tempimg return item # 网络工程师上午题库入库 class wlMorningPipeline(object): def __init__(self, host, port, database, username, password): self.host = host self.port = port self.database = database self.username = username self.password = password @classmethod def from_crawler(cls, crawler): return cls( host=crawler.settings.get('MYSQL_HOST'), port=crawler.settings.get('MYSQL_PORT'), database=crawler.settings.get('MYSQL_DATABASE'), username=crawler.settings.get('MYSQL_USERNAME'), password=crawler.settings.get('MYSQL_PASSWORD'), ) def open_spider(self, spider): self.db = pymysql.connect(self.host, self.username, self.password, self.database, charset='utf8', port=self.port) self.cursor = self.db.cursor() def close_spider(self, spider): self.db.close() def process_item(self, item, spider): data = dict(item) insert_sql = "insert into wl_morning(question, questionImg, optiona, optionb, optionc, optiond, answer, answeranalysis, field, questionNum, knowledgeOne, knowledgeTwo) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)" try: # 执行sql语句 self.cursor.execute(insert_sql, tuple(data.values())) # 提交到数据库执行 self.db.commit() except: # 如果发生错误则回滚 self.db.rollback() return item # 信息系统监理师上午题库入库 class xxMorningPipeline(object): def __init__(self, host, port, database, username, password): self.host = host self.port = port self.database = database self.username = username self.password = password @classmethod def from_crawler(cls, crawler): return cls( host=crawler.settings.get('MYSQL_HOST'), port=crawler.settings.get('MYSQL_PORT'), database=crawler.settings.get('MYSQL_DATABASE'), username=crawler.settings.get('MYSQL_USERNAME'), password=crawler.settings.get('MYSQL_PASSWORD'), ) def open_spider(self, spider): self.db = pymysql.connect(self.host, self.username, self.password, self.database, charset='utf8', port=self.port) self.cursor = self.db.cursor() def close_spider(self, spider): self.db.close() def process_item(self, item, spider): data = dict(item) insert_sql = "insert into xx_morning(question, questionImg, optiona, optionb, optionc, optiond, answer, answeranalysis, field, questionNum, knowledgeOne, knowledgeTwo) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)" try: # 执行sql语句 self.cursor.execute(insert_sql, tuple(data.values())) # 提交到数据库执行 self.db.commit() except: # 如果发生错误则回滚 self.db.rollback() return item # 数据库系统工程师上午题库入库 class sjkMorningPipeline(object): def __init__(self, host, port, database, username, password): self.host = host self.port = port self.database = database self.username = username self.password = password @classmethod def from_crawler(cls, crawler): return cls( host=crawler.settings.get('MYSQL_HOST'), port=crawler.settings.get('MYSQL_PORT'), database=crawler.settings.get('MYSQL_DATABASE'), username=crawler.settings.get('MYSQL_USERNAME'), password=crawler.settings.get('MYSQL_PASSWORD'), ) def open_spider(self, spider): self.db = pymysql.connect(self.host, self.username, self.password, self.database, charset='utf8', port=self.port) self.cursor = self.db.cursor() def close_spider(self, spider): self.db.close() def process_item(self, item, spider): data = dict(item) insert_sql = "insert into sjk_morning(question, questionImg, optiona, optionb, optionc, optiond, answer, answeranalysis, field, questionNum, knowledgeOne, knowledgeTwo) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)" try: # 执行sql语句 self.cursor.execute(insert_sql, tuple(data.values())) # 提交到数据库执行 self.db.commit() except: # 如果发生错误则回滚 self.db.rollback() return item # 软件评测师上午题库入库 class rjpcsMorningPipeline(object): def __init__(self, host, port, database, username, password): self.host = host self.port = port self.database = database self.username = username self.password = password @classmethod def from_crawler(cls, crawler): return cls( host=crawler.settings.get('MYSQL_HOST'), port=crawler.settings.get('MYSQL_PORT'), database=crawler.settings.get('MYSQL_DATABASE'), username=crawler.settings.get('MYSQL_USERNAME'), password=crawler.settings.get('MYSQL_PASSWORD'), ) def open_spider(self, spider): self.db = pymysql.connect(self.host, self.username, self.password, self.database, charset='utf8', port=self.port) self.cursor = self.db.cursor() def close_spider(self, spider): self.db.close() def process_item(self, item, spider): data = dict(item) insert_sql = "insert into rjpcs_morning(question, questionImg, optiona, optionb, optionc, optiond, answer, answeranalysis, field, questionNum, knowledgeOne, knowledgeTwo) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)" try: # 执行sql语句 self.cursor.execute(insert_sql, tuple(data.values())) # 提交到数据库执行 self.db.commit() except: # 如果发生错误则回滚 self.db.rollback() return item # 嵌入式系统设计师上午题库入库 class qrsMorningPipeline(object): def __init__(self, host, port, database, username, password): self.host = host self.port = port self.database = database self.username = username self.password = password @classmethod def from_crawler(cls, crawler): return cls( host=crawler.settings.get('MYSQL_HOST'), port=crawler.settings.get('MYSQL_PORT'), database=crawler.settings.get('MYSQL_DATABASE'), username=crawler.settings.get('MYSQL_USERNAME'), password=crawler.settings.get('MYSQL_PASSWORD'), ) def open_spider(self, spider): self.db = pymysql.connect(self.host, self.username, self.password, self.database, charset='utf8', port=self.port) self.cursor = self.db.cursor() def close_spider(self, spider): self.db.close() def process_item(self, item, spider): data = dict(item) insert_sql = "insert into qrs_morning(question, questionImg, optiona, optionb, optionc, optiond, answer, answeranalysis, field, questionNum, knowledgeOne, knowledgeTwo) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)" try: # 执行sql语句 self.cursor.execute(insert_sql, tuple(data.values())) # 提交到数据库执行 self.db.commit() except: # 如果发生错误则回滚 self.db.rollback() return item # 电子商务设计师上午题库入库 class dzswMorningPipeline(object): def __init__(self, host, port, database, username, password): self.host = host self.port = port self.database = database self.username = username self.password = password @classmethod def from_crawler(cls, crawler): return cls( host=crawler.settings.get('MYSQL_HOST'), port=crawler.settings.get('MYSQL_PORT'), database=crawler.settings.get('MYSQL_DATABASE'), username=crawler.settings.get('MYSQL_USERNAME'), password=crawler.settings.get('MYSQL_PASSWORD'), ) def open_spider(self, spider): self.db = pymysql.connect(self.host, self.username, self.password, self.database, charset='utf8', port=self.port) self.cursor = self.db.cursor() def close_spider(self, spider): self.db.close() def process_item(self, item, spider): data = dict(item) insert_sql = "insert into dzsw_morning(question, questionImg, optiona, optionb, optionc, optiond, answer, answeranalysis, field, questionNum, knowledgeOne, knowledgeTwo) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)" try: # 执行sql语句 self.cursor.execute(insert_sql, tuple(data.values())) # 提交到数据库执行 self.db.commit() except: # 如果发生错误则回滚 self.db.rollback() return item # 多媒体应用设计师上午题库入库 class mediaMorningPipeline(object): def __init__(self, host, port, database, username, password): self.host = host self.port = port self.database = database self.username = username self.password = password @classmethod def from_crawler(cls, crawler): return cls( host=crawler.settings.get('MYSQL_HOST'), port=crawler.settings.get('MYSQL_PORT'), database=crawler.settings.get('MYSQL_DATABASE'), username=crawler.settings.get('MYSQL_USERNAME'), password=crawler.settings.get('MYSQL_PASSWORD'), ) def open_spider(self, spider): self.db = pymysql.connect(self.host, self.username, self.password, self.database, charset='utf8', port=self.port) self.cursor = self.db.cursor() def close_spider(self, spider): self.db.close() def process_item(self, item, spider): data = dict(item) insert_sql = "insert into media_morning(question, questionImg, optiona, optionb, optionc, optiond, answer, answeranalysis, field, questionNum, knowledgeOne, knowledgeTwo) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)" try: # 执行sql语句 self.cursor.execute(insert_sql, tuple(data.values())) # 提交到数据库执行 self.db.commit() except: # 如果发生错误则回滚 self.db.rollback() return item # 信息系统管理工程师上午题库入库 class xxxtMorningPipeline(object): def __init__(self, host, port, database, username, password): self.host = host self.port = port self.database = database self.username = username self.password = password @classmethod def from_crawler(cls, crawler): return cls( host=crawler.settings.get('MYSQL_HOST'), port=crawler.settings.get('MYSQL_PORT'), database=crawler.settings.get('MYSQL_DATABASE'), username=crawler.settings.get('MYSQL_USERNAME'), password=crawler.settings.get('MYSQL_PASSWORD'), ) def open_spider(self, spider): self.db = pymysql.connect(self.host, self.username, self.password, self.database, charset='utf8', port=self.port) self.cursor = self.db.cursor() def close_spider(self, spider): self.db.close() def process_item(self, item, spider): data = dict(item) insert_sql = "insert into xxxt_morning(question, questionImg, optiona, optionb, optionc, optiond, answer, answeranalysis, field, questionNum, knowledgeOne, knowledgeTwo) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)" try: # 执行sql语句 self.cursor.execute(insert_sql, tuple(data.values())) # 提交到数据库执行 self.db.commit() except: # 如果发生错误则回滚 self.db.rollback() return item # 信息安全工程师上午题库入库 class xxaqMorningPipeline(object): def __init__(self, host, port, database, username, password): self.host = host self.port = port self.database = database self.username = username self.password = password @classmethod def from_crawler(cls, crawler): return cls( host=crawler.settings.get('MYSQL_HOST'), port=crawler.settings.get('MYSQL_PORT'), database=crawler.settings.get('MYSQL_DATABASE'), username=crawler.settings.get('MYSQL_USERNAME'), password=crawler.settings.get('MYSQL_PASSWORD'), ) def open_spider(self, spider): self.db = pymysql.connect(self.host, self.username, self.password, self.database, charset='utf8', port=self.port) self.cursor = self.db.cursor() def close_spider(self, spider): self.db.close() def process_item(self, item, spider): data = dict(item) insert_sql = "insert into xxaq_morning(question, questionImg, optiona, optionb, optionc, optiond, answer, answeranalysis, field, questionNum, knowledgeOne, knowledgeTwo) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)" try: # 执行sql语句 self.cursor.execute(insert_sql, tuple(data.values())) # 提交到数据库执行 self.db.commit() except: # 如果发生错误则回滚 self.db.rollback() return item # 系统集成项目管理工程师上午题库入库 class xtjcMorningPipeline(object): def __init__(self, host, port, database, username, password): self.host = host self.port = port self.database = database self.username = username self.password = password @classmethod def from_crawler(cls, crawler): return cls( host=crawler.settings.get('MYSQL_HOST'), port=crawler.settings.get('MYSQL_PORT'), database=crawler.settings.get('MYSQL_DATABASE'), username=crawler.settings.get('MYSQL_USERNAME'), password=crawler.settings.get('MYSQL_PASSWORD'), ) def open_spider(self, spider): self.db = pymysql.connect(self.host, self.username, self.password, self.database, charset='utf8', port=self.port) self.cursor = self.db.cursor() def close_spider(self, spider): self.db.close() def process_item(self, item, spider): data = dict(item) insert_sql = "insert into xtjc_morning(question, questionImg, optiona, optionb, optionc, optiond, answer, answeranalysis, field, questionNum, knowledgeOne, knowledgeTwo) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)" try: # 执行sql语句 self.cursor.execute(insert_sql, tuple(data.values())) # 提交到数据库执行 self.db.commit() except: # 如果发生错误则回滚 self.db.rollback() return item # 系统规划与管理师上午题库入库 class xtghMorningPipeline(object): def __init__(self, host, port, database, username, password): self.host = host self.port = port self.database = database self.username = username self.password = password @classmethod def from_crawler(cls, crawler): return cls( host=crawler.settings.get('MYSQL_HOST'), port=crawler.settings.get('MYSQL_PORT'), database=crawler.settings.get('MYSQL_DATABASE'), username=crawler.settings.get('MYSQL_USERNAME'), password=crawler.settings.get('MYSQL_PASSWORD'), ) def open_spider(self, spider): self.db = pymysql.connect(self.host, self.username, self.password, self.database, charset='utf8', port=self.port) self.cursor = self.db.cursor() def close_spider(self, spider): self.db.close() def process_item(self, item, spider): data = dict(item) insert_sql = "insert into xtgh_morning(question, questionImg, optiona, optionb, optionc, optiond, answer, answeranalysis, field, questionNum, knowledgeOne, knowledgeTwo) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)" try: # 执行sql语句 self.cursor.execute(insert_sql, tuple(data.values())) # 提交到数据库执行 self.db.commit() except: # 如果发生错误则回滚 self.db.rollback() return item # 网络规划设计师上午题库入库 class wlghMorningPipeline(object): def __init__(self, host, port, database, username, password): self.host = host self.port = port self.database = database self.username = username self.password = password @classmethod def from_crawler(cls, crawler): return cls( host=crawler.settings.get('MYSQL_HOST'), port=crawler.settings.get('MYSQL_PORT'), database=crawler.settings.get('MYSQL_DATABASE'), username=crawler.settings.get('MYSQL_USERNAME'), password=crawler.settings.get('MYSQL_PASSWORD'), ) def open_spider(self, spider): self.db = pymysql.connect(self.host, self.username, self.password, self.database, charset='utf8', port=self.port) self.cursor = self.db.cursor() def close_spider(self, spider): self.db.close() def process_item(self, item, spider): data = dict(item) insert_sql = "insert into wlgh_morning(question, questionImg, optiona, optionb, optionc, optiond, answer, answeranalysis, field, questionNum, knowledgeOne, knowledgeTwo) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)" try: # 执行sql语句 self.cursor.execute(insert_sql, tuple(data.values())) # 提交到数据库执行 self.db.commit() except: # 如果发生错误则回滚 self.db.rollback() return item # 系统架构设计师上午题库入库 class xtjgMorningPipeline(object): def __init__(self, host, port, database, username, password): self.host = host self.port = port self.database = database self.username = username self.password = password @classmethod def from_crawler(cls, crawler): return cls( host=crawler.settings.get('MYSQL_HOST'), port=crawler.settings.get('MYSQL_PORT'), database=crawler.settings.get('MYSQL_DATABASE'), username=crawler.settings.get('MYSQL_USERNAME'), password=crawler.settings.get('MYSQL_PASSWORD'), ) def open_spider(self, spider): self.db = pymysql.connect(self.host, self.username, self.password, self.database, charset='utf8', port=self.port) self.cursor = self.db.cursor() def close_spider(self, spider): self.db.close() def process_item(self, item, spider): data = dict(item) insert_sql = "insert into xtjg_morning(question, questionImg, optiona, optionb, optionc, optiond, answer, answeranalysis, field, questionNum, knowledgeOne, knowledgeTwo) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)" try: # 执行sql语句 self.cursor.execute(insert_sql, tuple(data.values())) # 提交到数据库执行 self.db.commit() except: # 如果发生错误则回滚 self.db.rollback() return item # 系统分析师上午题库入库 class xtfxMorningPipeline(object): def __init__(self, host, port, database, username, password): self.host = host self.port = port self.database = database self.username = username self.password = password @classmethod def from_crawler(cls, crawler): return cls( host=crawler.settings.get('MYSQL_HOST'), port=crawler.settings.get('MYSQL_PORT'), database=crawler.settings.get('MYSQL_DATABASE'), username=crawler.settings.get('MYSQL_USERNAME'), password=crawler.settings.get('MYSQL_PASSWORD'), ) def open_spider(self, spider): self.db = pymysql.connect(self.host, self.username, self.password, self.database, charset='utf8', port=self.port) self.cursor = self.db.cursor() def close_spider(self, spider): self.db.close() def process_item(self, item, spider): data = dict(item) insert_sql = "insert into xtfx_morning(question, questionImg, optiona, optionb, optionc, optiond, answer, answeranalysis, field, questionNum, knowledgeOne, knowledgeTwo) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)" try: # 执行sql语句 self.cursor.execute(insert_sql, tuple(data.values())) # 提交到数据库执行 self.db.commit() except: # 如果发生错误则回滚 self.db.rollback() return item # 信息系统项目管理师上午题库入库 class xxxtxmMorningPipeline(object): def __init__(self, host, port, database, username, password): self.host = host self.port = port self.database = database self.username = username self.password = password @classmethod def from_crawler(cls, crawler): return cls( host=crawler.settings.get('MYSQL_HOST'), port=crawler.settings.get('MYSQL_PORT'), database=crawler.settings.get('MYSQL_DATABASE'), username=crawler.settings.get('MYSQL_USERNAME'), password=crawler.settings.get('MYSQL_PASSWORD'), ) def open_spider(self, spider): self.db = pymysql.connect(self.host, self.username, self.password, self.database, charset='utf8', port=self.port) self.cursor = self.db.cursor() def close_spider(self, spider): self.db.close() def process_item(self, item, spider): data = dict(item) insert_sql = "insert into xxxtxm_morning(question, questionImg, optiona, optionb, optionc, optiond, answer, answeranalysis, field, questionNum, knowledgeOne, knowledgeTwo) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)" try: # 执行sql语句 self.cursor.execute(insert_sql, tuple(data.values())) # 提交到数据库执行 self.db.commit() except: # 如果发生错误则回滚 self.db.rollback() return item # 程序员上午题库入库 class cxyMorningPipeline(object): def __init__(self, host, port, database, username, password): self.host = host self.port = port self.database = database self.username = username self.password = password @classmethod def from_crawler(cls, crawler): return cls( host=crawler.settings.get('MYSQL_HOST'), port=crawler.settings.get('MYSQL_PORT'), database=crawler.settings.get('MYSQL_DATABASE'), username=crawler.settings.get('MYSQL_USERNAME'), password=crawler.settings.get('MYSQL_PASSWORD'), ) def open_spider(self, spider): self.db = pymysql.connect(self.host, self.username, self.password, self.database, charset='utf8', port=self.port) self.cursor = self.db.cursor() def close_spider(self, spider): self.db.close() def process_item(self, item, spider): data = dict(item) insert_sql = "insert into cxy_morning(question, questionImg, optiona, optionb, optionc, optiond, answer, answeranalysis, field, questionNum, knowledgeOne, knowledgeTwo) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)" try: # 执行sql语句 self.cursor.execute(insert_sql, tuple(data.values())) # 提交到数据库执行 self.db.commit() except: # 如果发生错误则回滚 self.db.rollback() return item # 信息处理技术员上午题库入库 class xxclMorningPipeline(object): def __init__(self, host, port, database, username, password): self.host = host self.port = port self.database = database self.username = username self.password = password @classmethod def from_crawler(cls, crawler): return cls( host=crawler.settings.get('MYSQL_HOST'), port=crawler.settings.get('MYSQL_PORT'), database=crawler.settings.get('MYSQL_DATABASE'), username=crawler.settings.get('MYSQL_USERNAME'), password=crawler.settings.get('MYSQL_PASSWORD'), ) def open_spider(self, spider): self.db = pymysql.connect(self.host, self.username, self.password, self.database, charset='utf8', port=self.port) self.cursor = self.db.cursor() def close_spider(self, spider): self.db.close() def process_item(self, item, spider): data = dict(item) insert_sql = "insert into xxcl_morning(question, questionImg, optiona, optionb, optionc, optiond, answer, answeranalysis, field, questionNum, knowledgeOne, knowledgeTwo) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)" try: # 执行sql语句 self.cursor.execute(insert_sql, tuple(data.values())) # 提交到数据库执行 self.db.commit() except: # 如果发生错误则回滚 self.db.rollback() return item # 网络管理员 class wlglMorningPipeline(object): def __init__(self, host, port, database, username, password): self.host = host self.port = port self.database = database self.username = username self.password = password @classmethod def from_crawler(cls, crawler): return cls( host=crawler.settings.get('MYSQL_HOST'), port=crawler.settings.get('MYSQL_PORT'), database=crawler.settings.get('MYSQL_DATABASE'), username=crawler.settings.get('MYSQL_USERNAME'), password=crawler.settings.get('MYSQL_PASSWORD'), ) def open_spider(self, spider): self.db = pymysql.connect(self.host, self.username, self.password, self.database, charset='utf8', port=self.port) self.cursor = self.db.cursor() def close_spider(self, spider): self.db.close() def process_item(self, item, spider): data = dict(item) insert_sql = "insert into wlgl_morning(question, questionImg, optiona, optionb, optionc, optiond, answer, answeranalysis, field, questionNum, knowledgeOne, knowledgeTwo) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)" try: # 执行sql语句 self.cursor.execute(insert_sql, tuple(data.values())) # 提交到数据库执行 self.db.commit() except: # 如果发生错误则回滚 self.db.rollback() return item

36.007036

364

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339a0166df9fe7ba6f5f38a47627b30a26ff6f98

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py

Python

osquery/extensions/ExtensionManager.py

eoinmiller-r7/osquery-python

8621cb712cf09c7e46654fc5dca87597e2c0d259

[ "BSD-3-Clause" ]

274

2015-04-30T00:59:02.000Z

2022-03-19T17:51:37.000Z

osquery/extensions/ExtensionManager.py

eoinmiller-r7/osquery-python

8621cb712cf09c7e46654fc5dca87597e2c0d259

[ "BSD-3-Clause" ]

51

2015-05-01T02:40:45.000Z

2021-09-01T19:59:54.000Z

osquery/extensions/ExtensionManager.py

eoinmiller-r7/osquery-python

8621cb712cf09c7e46654fc5dca87597e2c0d259

[ "BSD-3-Clause" ]

55

2015-05-18T18:27:32.000Z

2022-01-05T04:10:07.000Z

# # Autogenerated by Thrift Compiler (0.10.0) # # DO NOT EDIT UNLESS YOU ARE SURE THAT YOU KNOW WHAT YOU ARE DOING # # options string: py # from thrift.Thrift import TType, TMessageType, TFrozenDict, TException, TApplicationException from thrift.protocol.TProtocol import TProtocolException import sys import osquery.extensions.Extension import logging from .ttypes import * from thrift.Thrift import TProcessor from thrift.transport import TTransport class Iface(osquery.extensions.Extension.Iface): def extensions(self): pass def options(self): pass def registerExtension(self, info, registry): """ Parameters: - info - registry """ pass def deregisterExtension(self, uuid): """ Parameters: - uuid """ pass def query(self, sql): """ Parameters: - sql """ pass def getQueryColumns(self, sql): """ Parameters: - sql """ pass class Client(osquery.extensions.Extension.Client, Iface): def __init__(self, iprot, oprot=None): osquery.extensions.Extension.Client.__init__(self, iprot, oprot) def extensions(self): self.send_extensions() return self.recv_extensions() def send_extensions(self): self._oprot.writeMessageBegin('extensions', TMessageType.CALL, self._seqid) args = extensions_args() args.write(self._oprot) self._oprot.writeMessageEnd() self._oprot.trans.flush() def recv_extensions(self): iprot = self._iprot (fname, mtype, rseqid) = iprot.readMessageBegin() if mtype == TMessageType.EXCEPTION: x = TApplicationException() x.read(iprot) iprot.readMessageEnd() raise x result = extensions_result() result.read(iprot) iprot.readMessageEnd() if result.success is not None: return result.success raise TApplicationException(TApplicationException.MISSING_RESULT, "extensions failed: unknown result") def options(self): self.send_options() return self.recv_options() def send_options(self): self._oprot.writeMessageBegin('options', TMessageType.CALL, self._seqid) args = options_args() args.write(self._oprot) self._oprot.writeMessageEnd() self._oprot.trans.flush() def recv_options(self): iprot = self._iprot (fname, mtype, rseqid) = iprot.readMessageBegin() if mtype == TMessageType.EXCEPTION: x = TApplicationException() x.read(iprot) iprot.readMessageEnd() raise x result = options_result() result.read(iprot) iprot.readMessageEnd() if result.success is not None: return result.success raise TApplicationException(TApplicationException.MISSING_RESULT, "options failed: unknown result") def registerExtension(self, info, registry): """ Parameters: - info - registry """ self.send_registerExtension(info, registry) return self.recv_registerExtension() def send_registerExtension(self, info, registry): self._oprot.writeMessageBegin('registerExtension', TMessageType.CALL, self._seqid) args = registerExtension_args() args.info = info args.registry = registry args.write(self._oprot) self._oprot.writeMessageEnd() self._oprot.trans.flush() def recv_registerExtension(self): iprot = self._iprot (fname, mtype, rseqid) = iprot.readMessageBegin() if mtype == TMessageType.EXCEPTION: x = TApplicationException() x.read(iprot) iprot.readMessageEnd() raise x result = registerExtension_result() result.read(iprot) iprot.readMessageEnd() if result.success is not None: return result.success raise TApplicationException(TApplicationException.MISSING_RESULT, "registerExtension failed: unknown result") def deregisterExtension(self, uuid): """ Parameters: - uuid """ self.send_deregisterExtension(uuid) return self.recv_deregisterExtension() def send_deregisterExtension(self, uuid): self._oprot.writeMessageBegin('deregisterExtension', TMessageType.CALL, self._seqid) args = deregisterExtension_args() args.uuid = uuid args.write(self._oprot) self._oprot.writeMessageEnd() self._oprot.trans.flush() def recv_deregisterExtension(self): iprot = self._iprot (fname, mtype, rseqid) = iprot.readMessageBegin() if mtype == TMessageType.EXCEPTION: x = TApplicationException() x.read(iprot) iprot.readMessageEnd() raise x result = deregisterExtension_result() result.read(iprot) iprot.readMessageEnd() if result.success is not None: return result.success raise TApplicationException(TApplicationException.MISSING_RESULT, "deregisterExtension failed: unknown result") def query(self, sql): """ Parameters: - sql """ self.send_query(sql) return self.recv_query() def send_query(self, sql): self._oprot.writeMessageBegin('query', TMessageType.CALL, self._seqid) args = query_args() args.sql = sql args.write(self._oprot) self._oprot.writeMessageEnd() self._oprot.trans.flush() def recv_query(self): iprot = self._iprot (fname, mtype, rseqid) = iprot.readMessageBegin() if mtype == TMessageType.EXCEPTION: x = TApplicationException() x.read(iprot) iprot.readMessageEnd() raise x result = query_result() result.read(iprot) iprot.readMessageEnd() if result.success is not None: return result.success raise TApplicationException(TApplicationException.MISSING_RESULT, "query failed: unknown result") def getQueryColumns(self, sql): """ Parameters: - sql """ self.send_getQueryColumns(sql) return self.recv_getQueryColumns() def send_getQueryColumns(self, sql): self._oprot.writeMessageBegin('getQueryColumns', TMessageType.CALL, self._seqid) args = getQueryColumns_args() args.sql = sql args.write(self._oprot) self._oprot.writeMessageEnd() self._oprot.trans.flush() def recv_getQueryColumns(self): iprot = self._iprot (fname, mtype, rseqid) = iprot.readMessageBegin() if mtype == TMessageType.EXCEPTION: x = TApplicationException() x.read(iprot) iprot.readMessageEnd() raise x result = getQueryColumns_result() result.read(iprot) iprot.readMessageEnd() if result.success is not None: return result.success raise TApplicationException(TApplicationException.MISSING_RESULT, "getQueryColumns failed: unknown result") class Processor(osquery.extensions.Extension.Processor, Iface, TProcessor): def __init__(self, handler): osquery.extensions.Extension.Processor.__init__(self, handler) self._processMap["extensions"] = Processor.process_extensions self._processMap["options"] = Processor.process_options self._processMap["registerExtension"] = Processor.process_registerExtension self._processMap["deregisterExtension"] = Processor.process_deregisterExtension self._processMap["query"] = Processor.process_query self._processMap["getQueryColumns"] = Processor.process_getQueryColumns 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_extensions(self, seqid, iprot, oprot): args = extensions_args() args.read(iprot) iprot.readMessageEnd() result = extensions_result() try: result.success = self._handler.extensions() msg_type = TMessageType.REPLY except (TTransport.TTransportException, KeyboardInterrupt, SystemExit): raise except Exception as ex: msg_type = TMessageType.EXCEPTION logging.exception(ex) result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error') oprot.writeMessageBegin("extensions", msg_type, seqid) result.write(oprot) oprot.writeMessageEnd() oprot.trans.flush() def process_options(self, seqid, iprot, oprot): args = options_args() args.read(iprot) iprot.readMessageEnd() result = options_result() try: result.success = self._handler.options() msg_type = TMessageType.REPLY except (TTransport.TTransportException, KeyboardInterrupt, SystemExit): raise except Exception as ex: msg_type = TMessageType.EXCEPTION logging.exception(ex) result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error') oprot.writeMessageBegin("options", msg_type, seqid) result.write(oprot) oprot.writeMessageEnd() oprot.trans.flush() def process_registerExtension(self, seqid, iprot, oprot): args = registerExtension_args() args.read(iprot) iprot.readMessageEnd() result = registerExtension_result() try: result.success = self._handler.registerExtension(args.info, args.registry) msg_type = TMessageType.REPLY except (TTransport.TTransportException, KeyboardInterrupt, SystemExit): raise except Exception as ex: msg_type = TMessageType.EXCEPTION logging.exception(ex) result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error') oprot.writeMessageBegin("registerExtension", msg_type, seqid) result.write(oprot) oprot.writeMessageEnd() oprot.trans.flush() def process_deregisterExtension(self, seqid, iprot, oprot): args = deregisterExtension_args() args.read(iprot) iprot.readMessageEnd() result = deregisterExtension_result() try: result.success = self._handler.deregisterExtension(args.uuid) msg_type = TMessageType.REPLY except (TTransport.TTransportException, KeyboardInterrupt, SystemExit): raise except Exception as ex: msg_type = TMessageType.EXCEPTION logging.exception(ex) result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error') oprot.writeMessageBegin("deregisterExtension", msg_type, seqid) result.write(oprot) oprot.writeMessageEnd() oprot.trans.flush() def process_query(self, seqid, iprot, oprot): args = query_args() args.read(iprot) iprot.readMessageEnd() result = query_result() try: result.success = self._handler.query(args.sql) msg_type = TMessageType.REPLY except (TTransport.TTransportException, KeyboardInterrupt, SystemExit): raise except Exception as ex: msg_type = TMessageType.EXCEPTION logging.exception(ex) result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error') oprot.writeMessageBegin("query", msg_type, seqid) result.write(oprot) oprot.writeMessageEnd() oprot.trans.flush() def process_getQueryColumns(self, seqid, iprot, oprot): args = getQueryColumns_args() args.read(iprot) iprot.readMessageEnd() result = getQueryColumns_result() try: result.success = self._handler.getQueryColumns(args.sql) msg_type = TMessageType.REPLY except (TTransport.TTransportException, KeyboardInterrupt, SystemExit): raise except Exception as ex: msg_type = TMessageType.EXCEPTION logging.exception(ex) result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error') oprot.writeMessageBegin("getQueryColumns", msg_type, seqid) result.write(oprot) oprot.writeMessageEnd() oprot.trans.flush() # HELPER FUNCTIONS AND STRUCTURES class extensions_args(object): thrift_spec = ( ) def read(self, iprot): if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None: iprot._fast_decode(self, iprot, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot._fast_encode is not None and self.thrift_spec is not None: oprot.trans.write(oprot._fast_encode(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('extensions_args') oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] 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 extensions_result(object): """ Attributes: - success """ thrift_spec = ( (0, TType.MAP, 'success', (TType.I64, None, TType.STRUCT, (InternalExtensionInfo, InternalExtensionInfo.thrift_spec), False), None, ), # 0 ) def __init__(self, success=None,): self.success = success def read(self, iprot): if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None: iprot._fast_decode(self, iprot, (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.MAP: self.success = {} (_ktype26, _vtype27, _size25) = iprot.readMapBegin() for _i29 in range(_size25): _key30 = iprot.readI64() _val31 = InternalExtensionInfo() _val31.read(iprot) self.success[_key30] = _val31 iprot.readMapEnd() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot._fast_encode is not None and self.thrift_spec is not None: oprot.trans.write(oprot._fast_encode(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('extensions_result') if self.success is not None: oprot.writeFieldBegin('success', TType.MAP, 0) oprot.writeMapBegin(TType.I64, TType.STRUCT, len(self.success)) for kiter32, viter33 in self.success.items(): oprot.writeI64(kiter32) viter33.write(oprot) oprot.writeMapEnd() oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] 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 options_args(object): thrift_spec = ( ) def read(self, iprot): if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None: iprot._fast_decode(self, iprot, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot._fast_encode is not None and self.thrift_spec is not None: oprot.trans.write(oprot._fast_encode(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('options_args') oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] 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 options_result(object): """ Attributes: - success """ thrift_spec = ( (0, TType.MAP, 'success', (TType.STRING, 'UTF8', TType.STRUCT, (InternalOptionInfo, InternalOptionInfo.thrift_spec), False), None, ), # 0 ) def __init__(self, success=None,): self.success = success def read(self, iprot): if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None: iprot._fast_decode(self, iprot, (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.MAP: self.success = {} (_ktype35, _vtype36, _size34) = iprot.readMapBegin() for _i38 in range(_size34): _key39 = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString() _val40 = InternalOptionInfo() _val40.read(iprot) self.success[_key39] = _val40 iprot.readMapEnd() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot._fast_encode is not None and self.thrift_spec is not None: oprot.trans.write(oprot._fast_encode(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('options_result') if self.success is not None: oprot.writeFieldBegin('success', TType.MAP, 0) oprot.writeMapBegin(TType.STRING, TType.STRUCT, len(self.success)) for kiter41, viter42 in self.success.items(): oprot.writeString(kiter41.encode('utf-8') if sys.version_info[0] == 2 else kiter41) viter42.write(oprot) oprot.writeMapEnd() oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] 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 registerExtension_args(object): """ Attributes: - info - registry """ thrift_spec = ( None, # 0 (1, TType.STRUCT, 'info', (InternalExtensionInfo, InternalExtensionInfo.thrift_spec), None, ), # 1 (2, TType.MAP, 'registry', (TType.STRING, 'UTF8', TType.MAP, (TType.STRING, 'UTF8', TType.LIST, (TType.MAP, (TType.STRING, 'UTF8', TType.STRING, 'UTF8', False), False), False), False), None, ), # 2 ) def __init__(self, info=None, registry=None,): self.info = info self.registry = registry def read(self, iprot): if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None: iprot._fast_decode(self, iprot, (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.STRUCT: self.info = InternalExtensionInfo() self.info.read(iprot) else: iprot.skip(ftype) elif fid == 2: if ftype == TType.MAP: self.registry = {} (_ktype44, _vtype45, _size43) = iprot.readMapBegin() for _i47 in range(_size43): _key48 = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString() _val49 = {} (_ktype51, _vtype52, _size50) = iprot.readMapBegin() for _i54 in range(_size50): _key55 = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString() _val56 = [] (_etype60, _size57) = iprot.readListBegin() for _i61 in range(_size57): _elem62 = {} (_ktype64, _vtype65, _size63) = iprot.readMapBegin() for _i67 in range(_size63): _key68 = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString() _val69 = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString() _elem62[_key68] = _val69 iprot.readMapEnd() _val56.append(_elem62) iprot.readListEnd() _val49[_key55] = _val56 iprot.readMapEnd() self.registry[_key48] = _val49 iprot.readMapEnd() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot._fast_encode is not None and self.thrift_spec is not None: oprot.trans.write(oprot._fast_encode(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('registerExtension_args') if self.info is not None: oprot.writeFieldBegin('info', TType.STRUCT, 1) self.info.write(oprot) oprot.writeFieldEnd() if self.registry is not None: oprot.writeFieldBegin('registry', TType.MAP, 2) oprot.writeMapBegin(TType.STRING, TType.MAP, len(self.registry)) for kiter70, viter71 in self.registry.items(): oprot.writeString(kiter70.encode('utf-8') if sys.version_info[0] == 2 else kiter70) oprot.writeMapBegin(TType.STRING, TType.LIST, len(viter71)) for kiter72, viter73 in viter71.items(): oprot.writeString(kiter72.encode('utf-8') if sys.version_info[0] == 2 else kiter72) oprot.writeListBegin(TType.MAP, len(viter73)) for iter74 in viter73: oprot.writeMapBegin(TType.STRING, TType.STRING, len(iter74)) for kiter75, viter76 in iter74.items(): oprot.writeString(kiter75.encode('utf-8') if sys.version_info[0] == 2 else kiter75) oprot.writeString(viter76.encode('utf-8') if sys.version_info[0] == 2 else viter76) oprot.writeMapEnd() oprot.writeListEnd() oprot.writeMapEnd() oprot.writeMapEnd() oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] 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 registerExtension_result(object): """ Attributes: - success """ thrift_spec = ( (0, TType.STRUCT, 'success', (ExtensionStatus, ExtensionStatus.thrift_spec), None, ), # 0 ) def __init__(self, success=None,): self.success = success def read(self, iprot): if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None: iprot._fast_decode(self, iprot, (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.STRUCT: self.success = ExtensionStatus() self.success.read(iprot) else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot._fast_encode is not None and self.thrift_spec is not None: oprot.trans.write(oprot._fast_encode(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('registerExtension_result') if self.success is not None: oprot.writeFieldBegin('success', TType.STRUCT, 0) self.success.write(oprot) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] 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 deregisterExtension_args(object): """ Attributes: - uuid """ thrift_spec = ( None, # 0 (1, TType.I64, 'uuid', None, None, ), # 1 ) def __init__(self, uuid=None,): self.uuid = uuid def read(self, iprot): if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None: iprot._fast_decode(self, iprot, (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.I64: self.uuid = iprot.readI64() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot._fast_encode is not None and self.thrift_spec is not None: oprot.trans.write(oprot._fast_encode(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('deregisterExtension_args') if self.uuid is not None: oprot.writeFieldBegin('uuid', TType.I64, 1) oprot.writeI64(self.uuid) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] 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 deregisterExtension_result(object): """ Attributes: - success """ thrift_spec = ( (0, TType.STRUCT, 'success', (ExtensionStatus, ExtensionStatus.thrift_spec), None, ), # 0 ) def __init__(self, success=None,): self.success = success def read(self, iprot): if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None: iprot._fast_decode(self, iprot, (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.STRUCT: self.success = ExtensionStatus() self.success.read(iprot) else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot._fast_encode is not None and self.thrift_spec is not None: oprot.trans.write(oprot._fast_encode(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('deregisterExtension_result') if self.success is not None: oprot.writeFieldBegin('success', TType.STRUCT, 0) self.success.write(oprot) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] 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 query_args(object): """ Attributes: - sql """ thrift_spec = ( None, # 0 (1, TType.STRING, 'sql', 'UTF8', None, ), # 1 ) def __init__(self, sql=None,): self.sql = sql def read(self, iprot): if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None: iprot._fast_decode(self, iprot, (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.sql = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot._fast_encode is not None and self.thrift_spec is not None: oprot.trans.write(oprot._fast_encode(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('query_args') if self.sql is not None: oprot.writeFieldBegin('sql', TType.STRING, 1) oprot.writeString(self.sql.encode('utf-8') if sys.version_info[0] == 2 else self.sql) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] 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 query_result(object): """ Attributes: - success """ thrift_spec = ( (0, TType.STRUCT, 'success', (ExtensionResponse, ExtensionResponse.thrift_spec), None, ), # 0 ) def __init__(self, success=None,): self.success = success def read(self, iprot): if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None: iprot._fast_decode(self, iprot, (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.STRUCT: self.success = ExtensionResponse() self.success.read(iprot) else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot._fast_encode is not None and self.thrift_spec is not None: oprot.trans.write(oprot._fast_encode(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('query_result') if self.success is not None: oprot.writeFieldBegin('success', TType.STRUCT, 0) self.success.write(oprot) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] 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 getQueryColumns_args(object): """ Attributes: - sql """ thrift_spec = ( None, # 0 (1, TType.STRING, 'sql', 'UTF8', None, ), # 1 ) def __init__(self, sql=None,): self.sql = sql def read(self, iprot): if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None: iprot._fast_decode(self, iprot, (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.sql = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot._fast_encode is not None and self.thrift_spec is not None: oprot.trans.write(oprot._fast_encode(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('getQueryColumns_args') if self.sql is not None: oprot.writeFieldBegin('sql', TType.STRING, 1) oprot.writeString(self.sql.encode('utf-8') if sys.version_info[0] == 2 else self.sql) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] 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 getQueryColumns_result(object): """ Attributes: - success """ thrift_spec = ( (0, TType.STRUCT, 'success', (ExtensionResponse, ExtensionResponse.thrift_spec), None, ), # 0 ) def __init__(self, success=None,): self.success = success def read(self, iprot): if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None: iprot._fast_decode(self, iprot, (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.STRUCT: self.success = ExtensionResponse() self.success.read(iprot) else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot._fast_encode is not None and self.thrift_spec is not None: oprot.trans.write(oprot._fast_encode(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('getQueryColumns_result') if self.success is not None: oprot.writeFieldBegin('success', TType.STRUCT, 0) self.success.write(oprot) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] 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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0.585931

4,032

39,817

5.542659

0.055556

0.02998

0.026177

0.012887

0.794344

0.764274

0.736755

0.723465

0.718275

0

0.0106

0.310521

39,817

1,133

207

35.142983

0.803446

0.014994

0

0.776286

1

0

0.029247

0.003046

0

1

0.128635

false

0.006711

0.008949

0.040268

0.263982

0

null

0

1

0

1

0

null

0

7

1d61ab9fba7efd5dfa88a7e441c5087a4284368c

326

py

Python

rastervision/v2/rv/data/label_source/__init__.py

carderne/raster-vision

915fbcd3263d8f2193e65c2cd0eb53e050a47a01

[ "Apache-2.0" ]

1

2019-11-07T10:02:23.000Z

rastervision/v2/rv/data/label_source/__init__.py

carderne/raster-vision

915fbcd3263d8f2193e65c2cd0eb53e050a47a01

[ "Apache-2.0" ]

null

rastervision/v2/rv/data/label_source/__init__.py

carderne/raster-vision

915fbcd3263d8f2193e65c2cd0eb53e050a47a01

[ "Apache-2.0" ]

null

# flake8: noqa from rastervision.v2.rv.data.label_source.label_source import * from rastervision.v2.rv.data.label_source.label_source_config import * from rastervision.v2.rv.data.label_source.chip_classification_label_source import * from rastervision.v2.rv.data.label_source.chip_classification_label_source_config import *

46.571429

90

0.858896

48

326

5.541667

0.270833

0.330827

0.270677

0.300752

0.894737

0.721805

0

0.01634

0.06135

326

6

91

54.333333

0.852941

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0

1

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true

0

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0

null

0

1

0

1

0

1

0

13

d55ba80178c16ae63abedf6657efe8885b2e98ad

11,368

py

Python

tests/providers/test_supertext.py

divio/djangocms-translations

9bfde2fed91973160bbe50ccbd6b4e2a2f4ba07f

[ "BSD-3-Clause" ]

3

2019-01-14T13:30:38.000Z

2020-08-10T22:16:06.000Z

tests/providers/test_supertext.py

divio/djangocms-translations

9bfde2fed91973160bbe50ccbd6b4e2a2f4ba07f

[ "BSD-3-Clause" ]

5

2018-12-20T13:56:47.000Z

2021-07-20T07:13:01.000Z

tests/providers/test_supertext.py

divio/djangocms-translations

9bfde2fed91973160bbe50ccbd6b4e2a2f4ba07f

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- import json from cms.api import add_plugin, create_page from cms.test_utils.testcases import CMSTestCase from djangocms_transfer.exporter import export_page from djangocms_translations.providers.supertext import ( _get_translation_export_content, _set_translation_import_content, ) class GetTranslationExportContentTestCase(CMSTestCase): def setUp(self): super(GetTranslationExportContentTestCase, self).setUp() self.page = create_page('test page', 'test_page.html', 'en', published=True) self.placeholder = self.page.placeholders.get(slot='content') def _export_page(self): return json.loads(export_page(self.page, 'en')) def test_textfield_without_children(self): raw_content = 'Please <a href="http://www.google.com">CLICK ON LINK1</a> to go to link1.' add_plugin(self.placeholder, 'DummyTextPlugin', 'en', body=raw_content) plugin = self._export_page()[0]['plugins'][0] result, children_included_in_this_content = _get_translation_export_content('body', plugin) self.assertEquals(result, raw_content) self.assertEquals(children_included_in_this_content, []) def test_textfield_with_children(self): parent = add_plugin(self.placeholder, 'DummyTextPlugin', 'en', body='') child1 = add_plugin(self.placeholder, 'DummyLinkPlugin', 'en', target=parent, label='CLICK ON LINK1') parent_body = ( 'Please <cms-plugin id="{}"></cms-plugin> to go to link1.' ).format(child1.pk) parent.body = parent_body parent.save() plugin = self._export_page()[0]['plugins'][0] result, children_included_in_this_content = _get_translation_export_content('body', plugin) expected = ( parent_body .replace('></cms-plugin>', '>CLICK ON LINK1</cms-plugin>', 1) ) self.assertEquals(result, expected) self.assertEquals(children_included_in_this_content, [child1.pk]) def test_textfield_with_multiple_children(self): parent = add_plugin(self.placeholder, 'DummyTextPlugin', 'en', body='') child1 = add_plugin(self.placeholder, 'DummyLinkPlugin', 'en', target=parent, label='CLICK ON LINK1') child2 = add_plugin(self.placeholder, 'DummyLinkPlugin', 'en', target=parent, label='CLICK ON LINK2') parent_body = ( 'Please <cms-plugin id="{}"></cms-plugin> to go to link1 ' 'or <cms-plugin id="{}"></cms-plugin> to go to link2.' ).format(child1.pk, child2.pk) parent.body = parent_body parent.save() plugin = self._export_page()[0]['plugins'][0] result, children_included_in_this_content = _get_translation_export_content('body', plugin) expected = ( parent_body .replace('></cms-plugin>', '>CLICK ON LINK1</cms-plugin>', 1) .replace('></cms-plugin>', '>CLICK ON LINK2</cms-plugin>', 1) ) self.assertEquals(result, expected) self.assertEquals(children_included_in_this_content, [child1.pk, child2.pk]) def test_textfield_with_multiple_children_one_deleted(self): parent = add_plugin(self.placeholder, 'DummyTextPlugin', 'en', body='') child1 = add_plugin(self.placeholder, 'DummyLinkPlugin', 'en', target=parent, label='CLICK ON LINK1') child2 = add_plugin(self.placeholder, 'DummyLinkPlugin', 'en', target=parent, label='CLICK ON LINK2') parent_body = ( 'Please <cms-plugin id="{}"></cms-plugin> to go to link1 ' 'or <cms-plugin id="{}"></cms-plugin> to go to link2.' ).format(child1.pk, child2.pk) parent.body = parent_body parent.save() plugin = self._export_page()[0]['plugins'][0] child1.delete() result, children_included_in_this_content = _get_translation_export_content('body', plugin) expected = ( 'Please to go to link1 ' 'or <cms-plugin id="{}">CLICK ON LINK2</cms-plugin> to go to link2.' ).format(child2.pk) self.assertEquals(result, expected) self.assertEquals(children_included_in_this_content, [child2.pk]) def test_dummy_textfield2_with_children(self): ''' DummyText2Plugin implementation defines get_translation_export_content with a simple str return. ''' parent = add_plugin(self.placeholder, 'DummyText2Plugin', 'en', body='') child1 = add_plugin(self.placeholder, 'DummyLinkPlugin', 'en', target=parent, label='CLICK ON LINK1') parent_body = ( 'Please <cms-pluginid="{}"></cms-plugin> to go to link1.' ).format(child1.pk) parent.body = parent_body parent.save() plugin = self._export_page()[0]['plugins'][0] result, children_included_in_this_content = _get_translation_export_content('body', plugin) self.assertEquals(result, 'super dummy overwritten content') self.assertEquals(children_included_in_this_content, []) def test_dummy_textfield3_with_children(self): ''' DummyText3Plugin implementation does not define get_translation_export_content. ''' parent = add_plugin(self.placeholder, 'DummyText3Plugin', 'en', body='') child1 = add_plugin(self.placeholder, 'DummyLinkPlugin', 'en', target=parent, label='CLICK ON LINK1') parent_body = ( 'Please <cms-plugin id="{}"></cms-plugin> to go to link1.' ).format(child1.pk) parent.body = parent_body parent.save() plugin = self._export_page()[0]['plugins'][0] result, children_included_in_this_content = _get_translation_export_content('body', plugin) self.assertEquals(result, parent.body) self.assertEquals(children_included_in_this_content, []) def test_textfield_with_children_non_translatable(self): parent = add_plugin(self.placeholder, 'DummyTextPlugin', 'en', body='') child1 = add_plugin(self.placeholder, 'DummySpacerPlugin', 'en', target=parent) parent_body = ( 'This is cool <cms-plugin id="{}"></cms-plugin> this is nice.' ).format(child1.pk) parent.body = parent_body parent.save() plugin = self._export_page()[0]['plugins'][0] result, children_included_in_this_content = _get_translation_export_content('body', plugin) expected = ( parent_body ) self.assertEquals(result, expected) self.assertEquals(children_included_in_this_content, [child1.pk]) class SetTranslationImportContentTestCase(CMSTestCase): def setUp(self): super(SetTranslationImportContentTestCase, self).setUp() self.page = create_page('test page', 'test_page.html', 'en', published=True) self.placeholder = self.page.placeholders.get(slot='content') def _export_page(self): return json.loads(export_page(self.page, 'en')) def test_textfield_without_children(self): raw_content = 'Please <a href="http://www.google.com">CLICK ON LINK1</a> to go to link1.' add_plugin(self.placeholder, 'DummyTextPlugin', 'en', body=raw_content) plugin = self._export_page()[0]['plugins'][0] result = _set_translation_import_content(_get_translation_export_content('body', plugin)[0], plugin) self.assertDictEqual(result, {}) def test_textfield_with_children(self): parent = add_plugin(self.placeholder, 'DummyTextPlugin', 'en', body='') child1 = add_plugin(self.placeholder, 'DummyLinkPlugin', 'en', target=parent, label='CLICK ON LINK1') parent_body = ( 'Please <cms-plugin id="{}"></cms-plugin> to go to link1.' ).format(child1.pk) parent.body = parent_body parent.save() plugin = self._export_page()[0]['plugins'][0] result = _set_translation_import_content(_get_translation_export_content('body', plugin)[0], plugin) self.assertDictEqual(result, {child1.pk: 'CLICK ON LINK1'}) def test_textfield_with_multiple_children(self): parent = add_plugin(self.placeholder, 'DummyTextPlugin', 'en', body='') child1 = add_plugin(self.placeholder, 'DummyLinkPlugin', 'en', target=parent, label='CLICK ON LINK1') child2 = add_plugin(self.placeholder, 'DummyLinkPlugin', 'en', target=parent, label='CLICK ON LINK2') parent_body = ( 'Please <cms-plugin id="{}"></cms-plugin> to go to link1 ' 'or <cms-plugin id="{}"></cms-plugin> to go to link2.' ).format(child1.pk, child2.pk) parent.body = parent_body parent.save() plugin = self._export_page()[0]['plugins'][0] result = _set_translation_import_content(_get_translation_export_content('body', plugin)[0], plugin) self.assertDictEqual(result, {child1.pk: 'CLICK ON LINK1', child2.pk: 'CLICK ON LINK2'}) def test_textfield_with_multiple_children_one_deleted(self): parent = add_plugin(self.placeholder, 'DummyTextPlugin', 'en', body='') child1 = add_plugin(self.placeholder, 'DummyLinkPlugin', 'en', target=parent, label='CLICK ON LINK1') child2 = add_plugin(self.placeholder, 'DummyLinkPlugin', 'en', target=parent, label='CLICK ON LINK2') parent_body = ( 'Please <cms-plugin id="{}"></cms-plugin> to go to link1 ' 'or <cms-plugin id="{}"></cms-plugin> to go to link2.' ).format(child1.pk, child2.pk) parent.body = parent_body parent.save() plugin = self._export_page()[0]['plugins'][0] child1.delete() result = _set_translation_import_content(_get_translation_export_content('body', plugin)[0], plugin) self.assertDictEqual(result, {child2.pk: 'CLICK ON LINK2'}) def test_dummy_textfield2_with_children(self): ''' DummyText2Plugin implementation defines get_translation_export_content with a simple str return. ''' parent = add_plugin(self.placeholder, 'DummyText2Plugin', 'en', body='') child1 = add_plugin(self.placeholder, 'DummyLinkPlugin', 'en', target=parent, label='CLICK ON LINK1') parent_body = ( 'Please <cms-plugin id="{}"></cms-plugin> to go to link1.' ).format(child1.pk) parent.body = parent_body parent.save() plugin = self._export_page()[0]['plugins'][0] result = _set_translation_import_content(_get_translation_export_content('body', plugin)[0], plugin) self.assertDictEqual(result, {42: 'because I want this to be id=42'}) def test_dummy_textfield3_with_children(self): ''' DummyText3Plugin implementation does not define get_translation_export_content. ''' parent = add_plugin(self.placeholder, 'DummyText3Plugin', 'en', body='') child1 = add_plugin(self.placeholder, 'DummyLinkPlugin', 'en', target=parent, label='CLICK ON LINK1') parent_body = ( 'Please <cms-plugin id="{}"></cms-plugin> to go to link1.' ).format(child1.pk) parent.body = parent_body parent.save() plugin = self._export_page()[0]['plugins'][0] result = _set_translation_import_content(_get_translation_export_content('body', plugin)[0], plugin) self.assertDictEqual(result, {})

46.4

112

0.658427

1,351

11,368

5.314582

0.085122

0.069638

0.050696

0.093593

0.920752

0.904596

0.898747

0.891643

0

0.015028

0.203906

11,368

244

113

46.590164

0.778343

0.033427

0

0.839572

0

0.048128

0.209158

0.029736

0

0.106952

1

0.090909

false

0

0.074866

0.010695

0.187166

0

null

0

1

0

1

0

null

0

7

d56e395b96f53ab2dd033be4883ecfb2e4dc9833

1,964

py

Python

src/helper_bitcoin.py

coffeedogs/PyBitmessage

634a49cd6d8fc2f52504586be4c4766340641b25

[ "MIT" ]

5

2015-01-28T04:45:09.000Z

2017-08-08T10:59:06.000Z

BitmessageKit/Vendor/pybitmessage/helper_bitcoin.py

VoluntaryLabs/BitmessageKit

dd634977a629ab4dec184e12bb6324cc01149ba3

[ "MIT" ]

4

2019-11-30T14:01:12.000Z

2020-01-03T13:20:57.000Z

BitmessageKit/Vendor/pybitmessage/helper_bitcoin.py

VoluntaryLabs/BitmessageKit

dd634977a629ab4dec184e12bb6324cc01149ba3

[ "MIT" ]

3

2016-01-11T12:36:31.000Z

2021-02-12T19:36:44.000Z

import hashlib from pyelliptic import arithmetic # This function expects that pubkey begin with \x04 def calculateBitcoinAddressFromPubkey(pubkey): if len(pubkey) != 65: print 'Could not calculate Bitcoin address from pubkey because function was passed a pubkey that was', len(pubkey), 'bytes long rather than 65.' return "error" ripe = hashlib.new('ripemd160') sha = hashlib.new('sha256') sha.update(pubkey) ripe.update(sha.digest()) ripeWithProdnetPrefix = '\x00' + ripe.digest() checksum = hashlib.sha256(hashlib.sha256( ripeWithProdnetPrefix).digest()).digest()[:4] binaryBitcoinAddress = ripeWithProdnetPrefix + checksum numberOfZeroBytesOnBinaryBitcoinAddress = 0 while binaryBitcoinAddress[0] == '\x00': numberOfZeroBytesOnBinaryBitcoinAddress += 1 binaryBitcoinAddress = binaryBitcoinAddress[1:] base58encoded = arithmetic.changebase(binaryBitcoinAddress, 256, 58) return "1" * numberOfZeroBytesOnBinaryBitcoinAddress + base58encoded def calculateTestnetAddressFromPubkey(pubkey): if len(pubkey) != 65: print 'Could not calculate Bitcoin address from pubkey because function was passed a pubkey that was', len(pubkey), 'bytes long rather than 65.' return "error" ripe = hashlib.new('ripemd160') sha = hashlib.new('sha256') sha.update(pubkey) ripe.update(sha.digest()) ripeWithProdnetPrefix = '\x6F' + ripe.digest() checksum = hashlib.sha256(hashlib.sha256( ripeWithProdnetPrefix).digest()).digest()[:4] binaryBitcoinAddress = ripeWithProdnetPrefix + checksum numberOfZeroBytesOnBinaryBitcoinAddress = 0 while binaryBitcoinAddress[0] == '\x00': numberOfZeroBytesOnBinaryBitcoinAddress += 1 binaryBitcoinAddress = binaryBitcoinAddress[1:] base58encoded = arithmetic.changebase(binaryBitcoinAddress, 256, 58) return "1" * numberOfZeroBytesOnBinaryBitcoinAddress + base58encoded

43.644444

152

0.729124

182

1,964

7.868132

0.307692

0.02514

0.015363

0.023743

0.886872

0

0.043936

0.177189

1,964

44

153

44.636364

0.842203

0.024949

0

0.842105

0

0.154731

0

null

0.052632

null

0.052632

0

null

0

1

0

1

0

null

0

1

0

1

0

9

d58bfd0aeafa7bf026d16155b6d31fd4e8a49ef3

105

py

Python

pogom/pgoapi/__init__.py

jskoizumi/pkgohi

619748338587e0201f303b653ce9c04694653385

[ "MIT" ]

6

2016-07-21T20:23:29.000Z

2016-10-14T16:50:21.000Z

pogom/pgoapi/__init__.py

jskoizumi/pkgohi

619748338587e0201f303b653ce9c04694653385

[ "MIT" ]

4

2016-07-21T20:39:19.000Z

2016-07-25T13:51:41.000Z

pogom/pgoapi/__init__.py

jskoizumi/pkgohi

619748338587e0201f303b653ce9c04694653385

[ "MIT" ]

null

from pgoapi import * import requests.packages.urllib3 requests.packages.urllib3.disable_warnings()

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0.666667

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0

null

0

1

0

1

0

1

0

7

d59da3f6088790bcf831703d1fe1571d16568ca1

237

py

Python

myPackageAna/__init__.py

anajikadam17/myPackageAna

61bffd28c6b87240363bf2d42020852cd25e3cf6

[ "MIT" ]

null

myPackageAna/__init__.py

anajikadam17/myPackageAna

61bffd28c6b87240363bf2d42020852cd25e3cf6

[ "MIT" ]

null

myPackageAna/__init__.py

anajikadam17/myPackageAna

61bffd28c6b87240363bf2d42020852cd25e3cf6

[ "MIT" ]

null

def add_numbers(num1, num2): return num1 + num2 def subtract_numbers(num1, num2): return num1 - num2 def multiply_numbers(num1, num2): return num1 * num2 def divide_numbers(num1, num2): return num1 / num2

18.230769

34

0.662447

32

237

4.78125

0.28125

0.418301

0.392157

0.54902

0.816993

0.627451

0

0.090395

0.253165

237

12

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1

0

null

1

0

null

0

1

0

1

0

7

6392722bd5525b0311d5259fc6ed905542a05288

798

py

Python

examples/grid2d.py

eddy-ilg/itypes

eaf1c4a86576c77caa34148c0fdc6b2e012119ff

[ "MIT" ]

null

examples/grid2d.py

eddy-ilg/itypes

eaf1c4a86576c77caa34148c0fdc6b2e012119ff

[ "MIT" ]

null

examples/grid2d.py

eddy-ilg/itypes

eaf1c4a86576c77caa34148c0fdc6b2e012119ff

[ "MIT" ]

null

#!/usr/bin/env python3 from itypes import Grid2D g = Grid2D(none_in_range=True, none_outside_range=True) g[1, 2] = "x" print(f'min_col={g.min_col()} max_col={g.max_col()} num_cols={g.num_cols()} ' f'min_row={g.min_row()} max_row={g.max_row()} num_rows={g.num_rows()}') print(f'g[0, 0] = {g[0,0]}') print(f'g[1, 2] = {g[1,2]}') print(f'g[2, 2] = {g[2,2]}') g[2, 2] = "y" print(f'min_col={g.min_col()} max_col={g.max_col()} num_cols={g.num_cols()} ' f'min_row={g.min_row()} max_row={g.max_row()} num_rows={g.num_rows()}') print(f'g[0, 0] = {g[0,0]}') print(f'g[1, 2] = {g[1,1]}') print(f'g[2, 2] = {g[2,2]}') del g[2, 2] print(f'min_col={g.min_col()} max_col={g.max_col()} num_cols={g.num_cols()} ' f'min_row={g.min_row()} max_row={g.max_row()} num_rows={g.num_rows()}')

26.6

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177

798

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0.163842

0.124711

0.096998

0.083141

0.785219

0.778291

0.722864

0

0.046942

0.119048

798

29

78

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0.56899

0.026316

0

0.588235

0

0.664516

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1

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false

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0.058824

0

0.058824

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0

null

0

1

0

1

null

0

1

0

8

895e66ff4ad74bf41e6e03be1c347525eca98c1f

200

py

Python

utils/__init__.py

florianthonig/listen-attend-and-spell

218dd4f200cd564d3052c550dbbfe1f2cd836008

[ "Apache-2.0" ]

96

2018-06-06T08:01:37.000Z

2021-10-06T03:40:00.000Z

utils/__init__.py

florianthonig/listen-attend-and-spell

218dd4f200cd564d3052c550dbbfe1f2cd836008

[ "Apache-2.0" ]

10

2018-06-28T02:33:14.000Z

2019-07-08T07:22:29.000Z

utils/__init__.py

florianthonig/listen-attend-and-spell

218dd4f200cd564d3052c550dbbfe1f2cd836008

[ "Apache-2.0" ]

37

2018-08-09T16:42:28.000Z

2021-10-21T03:42:59.000Z

from utils.dataset_utils import * from utils.iterator_utils import * from utils.vocab_utils import * from utils.metrics_utils import * from utils.image_utils import * from utils.params_utils import *

28.571429

34

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30

200

5.266667

0.3

0.341772

0.474684

0.632911

0

0.12

200

6

35

33.333333

0.897727

0

1

0

true

0

1

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1

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null

1

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1

0

null

0

1

0

1

0

1

0

7

8962e429da829e898ea84224366fa3d865b05e5d

31,664

py

Python

project/export/tests/test_annotations_csv.py

beijbom/coralnet

c3f4a44eeb60cb41a079329a0068dc8b34096e89

[ "BSD-2-Clause" ]

31

2019-12-08T14:22:52.000Z

2021-12-27T04:58:12.000Z

project/export/tests/test_annotations_csv.py

beijbom/coralnet

c3f4a44eeb60cb41a079329a0068dc8b34096e89

[ "BSD-2-Clause" ]

193

2019-12-07T23:27:43.000Z

2022-03-05T08:05:46.000Z

project/export/tests/test_annotations_csv.py

beijbom/coralnet

c3f4a44eeb60cb41a079329a0068dc8b34096e89

[ "BSD-2-Clause" ]

null

import datetime from django.core.files.base import ContentFile from django.shortcuts import resolve_url from django.test import override_settings from django.urls import reverse from annotations.models import Annotation from export.tests.utils import BaseExportTest from images.model_utils import PointGen from lib.tests.utils import BasePermissionTest from upload.tests.utils import UploadAnnotationsTestMixin class PermissionTest(BasePermissionTest): def test_annotations(self): url = reverse('export_annotations', args=[self.source.pk]) self.source_to_private() self.assertPermissionLevel( url, self.SOURCE_VIEW, content_type='text/csv') self.source_to_public() self.assertPermissionLevel( url, self.SIGNED_IN, content_type='text/csv', deny_type=self.REQUIRE_LOGIN) class ImageSetTest(BaseExportTest): """Test annotations export to CSV for different kinds of image subsets.""" @classmethod def setUpTestData(cls): super().setUpTestData() cls.user = cls.create_user() cls.source = cls.create_source( cls.user, # Uniform grid gives us consistent point locations. point_generation_type=PointGen.Types.UNIFORM, number_of_cell_rows=1, number_of_cell_columns=2, ) cls.labels = cls.create_labels(cls.user, ['A', 'B'], 'GroupA') cls.create_labelset(cls.user, cls.source, cls.labels) def test_all_images_single(self): """Export for 1 out of 1 images.""" self.img1 = self.upload_image( self.user, self.source, dict(filename='1.jpg', width=400, height=300)) self.add_annotations(self.user, self.img1, {1: 'A', 2: 'B'}) post_data = self.default_search_params.copy() response = self.export_annotations(post_data) expected_lines = [ 'Name,Row,Column,Label', '1.jpg,149,99,A', '1.jpg,149,299,B', ] self.assert_csv_content_equal(response.content, expected_lines) def test_all_images_multiple(self): """Export for 3 out of 3 images.""" self.img1 = self.upload_image( self.user, self.source, dict(filename='1.jpg', width=400, height=300)) self.img2 = self.upload_image( self.user, self.source, dict(filename='2.jpg', width=400, height=400)) self.img3 = self.upload_image( self.user, self.source, dict(filename='3.jpg', width=400, height=200)) self.add_annotations(self.user, self.img1, {1: 'A', 2: 'B'}) self.add_annotations(self.user, self.img2, {1: 'B', 2: 'A'}) self.add_annotations(self.user, self.img3, {1: 'B', 2: 'B'}) post_data = self.default_search_params.copy() response = self.export_annotations(post_data) expected_lines = [ 'Name,Row,Column,Label', '1.jpg,149,99,A', '1.jpg,149,299,B', '2.jpg,199,99,B', '2.jpg,199,299,A', '3.jpg,99,99,B', '3.jpg,99,299,B', ] self.assert_csv_content_equal(response.content, expected_lines) def test_image_subset_by_metadata(self): """Export for some, but not all, images.""" self.img1 = self.upload_image( self.user, self.source, dict(filename='1.jpg', width=400, height=300)) self.img2 = self.upload_image( self.user, self.source, dict(filename='2.jpg', width=400, height=400)) self.img3 = self.upload_image( self.user, self.source, dict(filename='3.jpg', width=400, height=200)) self.add_annotations(self.user, self.img1, {1: 'A', 2: 'B'}) self.add_annotations(self.user, self.img2, {1: 'B', 2: 'A'}) self.add_annotations(self.user, self.img3, {1: 'B', 2: 'B'}) self.img1.metadata.aux1 = 'X' self.img1.metadata.save() self.img2.metadata.aux1 = 'Y' self.img2.metadata.save() self.img3.metadata.aux1 = 'X' self.img3.metadata.save() post_data = self.default_search_params.copy() post_data['aux1'] = 'X' response = self.export_annotations(post_data) expected_lines = [ 'Name,Row,Column,Label', '1.jpg,149,99,A', '1.jpg,149,299,B', '3.jpg,99,99,B', '3.jpg,99,299,B', ] self.assert_csv_content_equal(response.content, expected_lines) def test_image_subset_by_annotation_status(self): """Export for some, but not all, images. Different search criteria. Just a sanity check to ensure the image filtering is as complete as it should be.""" self.img1 = self.upload_image( self.user, self.source, dict(filename='1.jpg', width=400, height=300)) self.img2 = self.upload_image( self.user, self.source, dict(filename='2.jpg', width=400, height=400)) self.img3 = self.upload_image( self.user, self.source, dict(filename='3.jpg', width=400, height=200)) robot = self.create_robot(self.source) self.add_robot_annotations(robot, self.img1, {1: 'A', 2: 'A'}) self.add_robot_annotations(robot, self.img2, {1: 'A', 2: 'A'}) self.add_robot_annotations(robot, self.img3, {1: 'A', 2: 'A'}) # Only images 2 and 3 become confirmed self.add_annotations(self.user, self.img2, {1: 'B', 2: 'A'}) self.add_annotations(self.user, self.img3, {1: 'B', 2: 'B'}) post_data = self.default_search_params.copy() post_data['annotation_status'] = 'confirmed' response = self.export_annotations(post_data) expected_lines = [ 'Name,Row,Column,Label', '2.jpg,199,99,B', '2.jpg,199,299,A', '3.jpg,99,99,B', '3.jpg,99,299,B', ] self.assert_csv_content_equal(response.content, expected_lines) def test_image_empty_set(self): """Export for 0 images.""" self.img1 = self.upload_image( self.user, self.source, dict(filename='1.jpg', width=400, height=300)) self.add_annotations(self.user, self.img1, {1: 'A', 2: 'B'}) post_data = self.default_search_params.copy() post_data['image_name'] = '5.jpg' response = self.export_annotations(post_data) expected_lines = [ 'Name,Row,Column,Label', ] self.assert_csv_content_equal(response.content, expected_lines) def test_invalid_image_set_params(self): self.upload_image(self.user, self.source) post_data = self.default_search_params.copy() post_data['photo_date_0'] = 'abc' response = self.export_annotations(post_data) # Display an error in HTML instead of serving CSV. self.assertTrue(response['content-type'].startswith('text/html')) self.assertContains(response, "Image-search parameters were invalid.") def test_dont_get_other_sources_images(self): """Don't export for other sources' images.""" self.img1 = self.upload_image( self.user, self.source, dict(filename='1.jpg', width=400, height=300)) self.add_annotations(self.user, self.img1, {1: 'A', 2: 'B'}) source2 = self.create_source( self.user, point_generation_type=PointGen.Types.UNIFORM, number_of_cell_rows=1, number_of_cell_columns=2) self.create_labelset(self.user, source2, self.labels) img2 = self.upload_image(self.user, source2, dict(filename='2.jpg')) self.add_annotations(self.user, img2, {1: 'A', 2: 'B'}) post_data = self.default_search_params.copy() response = self.export_annotations(post_data) # Should have image 1, but not 2 expected_lines = [ 'Name,Row,Column,Label', '1.jpg,149,99,A', '1.jpg,149,299,B', ] self.assert_csv_content_equal(response.content, expected_lines) class AnnotationStatusTest(BaseExportTest): """Test annotations export to CSV for images of various annotation statuses.""" @classmethod def setUpTestData(cls): super().setUpTestData() cls.user = cls.create_user() cls.source = cls.create_source( cls.user, point_generation_type=PointGen.Types.UNIFORM, number_of_cell_rows=1, number_of_cell_columns=2, ) labels = cls.create_labels(cls.user, ['A', 'B'], 'GroupA') cls.create_labelset(cls.user, cls.source, labels) cls.img1 = cls.upload_image( cls.user, cls.source, dict(filename='1.jpg', width=400, height=300)) def test_not_annotated(self): response = self.export_annotations(self.default_search_params) expected_lines = [ 'Name,Row,Column,Label', ] self.assert_csv_content_equal(response.content, expected_lines) def test_partially_annotated(self): self.add_annotations(self.user, self.img1, {1: 'B'}) response = self.export_annotations(self.default_search_params) expected_lines = [ 'Name,Row,Column,Label', '1.jpg,149,99,B', ] self.assert_csv_content_equal(response.content, expected_lines) def test_fully_annotated(self): self.add_annotations(self.user, self.img1, {1: 'B', 2: 'A'}) response = self.export_annotations(self.default_search_params) expected_lines = [ 'Name,Row,Column,Label', '1.jpg,149,99,B', '1.jpg,149,299,A', ] self.assert_csv_content_equal(response.content, expected_lines) def test_machine_annotated(self): robot = self.create_robot(self.source) self.add_robot_annotations(robot, self.img1, {1: 'B', 2: 'A'}) response = self.export_annotations(self.default_search_params) expected_lines = [ 'Name,Row,Column,Label', '1.jpg,149,99,B', '1.jpg,149,299,A', ] self.assert_csv_content_equal(response.content, expected_lines) def test_part_machine_part_manual(self): robot = self.create_robot(self.source) self.add_robot_annotations(robot, self.img1, {1: 'B', 2: 'A'}) self.add_annotations(self.user, self.img1, {2: 'A'}) response = self.export_annotations(self.default_search_params) expected_lines = [ 'Name,Row,Column,Label', '1.jpg,149,99,B', '1.jpg,149,299,A', ] self.assert_csv_content_equal(response.content, expected_lines) class AnnotatorInfoColumnsTest(BaseExportTest, UploadAnnotationsTestMixin): """Test the optional annotation info columns.""" @classmethod def setUpTestData(cls): super().setUpTestData() cls.user = cls.create_user() cls.source = cls.create_source( cls.user, point_generation_type=PointGen.Types.UNIFORM, number_of_cell_rows=1, number_of_cell_columns=1, ) labels = cls.create_labels(cls.user, ['A', 'B'], 'GroupA') cls.create_labelset(cls.user, cls.source, labels) cls.img1 = cls.upload_image( cls.user, cls.source, dict(filename='1.jpg', width=400, height=300)) def test_user_annotation(self): self.add_annotations(self.user, self.img1, {1: 'B'}) post_data = self.default_search_params.copy() post_data['optional_columns'] = ['annotator_info'] response = self.export_annotations(post_data) annotation_date = \ Annotation.objects.get(image=self.img1).annotation_date date_str = annotation_date.strftime('%Y-%m-%d %H:%M:%S+00:00') expected_lines = [ 'Name,Row,Column,Label,Annotator,Date annotated', '1.jpg,149,199,B,{username},{date}'.format( username=self.user.username, date=date_str), ] self.assert_csv_content_equal(response.content, expected_lines) def test_imported_annotation(self): # Import an annotation rows = [ ['Name', 'Row', 'Column', 'Label'], ['1.jpg', 50, 70, 'B'], ] csv_file = self.make_csv_file('A.csv', rows) self.preview_csv_annotations( self.user, self.source, csv_file) self.upload_annotations(self.user, self.source) post_data = self.default_search_params.copy() post_data['optional_columns'] = ['annotator_info'] response = self.export_annotations(post_data) annotation_date = \ Annotation.objects.get(image=self.img1).annotation_date date_str = annotation_date.strftime('%Y-%m-%d %H:%M:%S+00:00') expected_lines = [ 'Name,Row,Column,Label,Annotator,Date annotated', '1.jpg,50,70,B,Imported,{date}'.format(date=date_str), ] self.assert_csv_content_equal(response.content, expected_lines) def test_machine_annotation(self): robot = self.create_robot(self.source) self.add_robot_annotations(robot, self.img1, {1: 'B'}) post_data = self.default_search_params.copy() post_data['optional_columns'] = ['annotator_info'] response = self.export_annotations(post_data) annotation_date = \ Annotation.objects.get(image=self.img1).annotation_date date_str = annotation_date.strftime('%Y-%m-%d %H:%M:%S+00:00') expected_lines = [ 'Name,Row,Column,Label,Annotator,Date annotated', '1.jpg,149,199,B,robot,{date}'.format(date=date_str), ] self.assert_csv_content_equal(response.content, expected_lines) class MachineSuggestionColumnsTest(BaseExportTest): """Test the optional machine suggestion columns.""" @classmethod def setUpTestData(cls): super().setUpTestData() cls.user = cls.create_user() cls.source = cls.create_source( cls.user, point_generation_type=PointGen.Types.UNIFORM, number_of_cell_rows=1, number_of_cell_columns=1, ) labels = cls.create_labels(cls.user, ['A', 'B'], 'GroupA') cls.create_labelset(cls.user, cls.source, labels) cls.img1 = cls.upload_image( cls.user, cls.source, dict(filename='1.jpg', width=400, height=300)) @override_settings(NBR_SCORES_PER_ANNOTATION=2) def test_blank(self): self.add_annotations(self.user, self.img1, {1: 'B'}) post_data = self.default_search_params.copy() post_data['optional_columns'] = ['machine_suggestions'] response = self.export_annotations(post_data) expected_lines = [ 'Name,Row,Column,Label' ',Machine suggestion 1,Machine confidence 1' ',Machine suggestion 2,Machine confidence 2', '1.jpg,149,199,B,,,,', ] self.assert_csv_content_equal(response.content, expected_lines) @override_settings(NBR_SCORES_PER_ANNOTATION=2) def test_all_suggestions_filled(self): robot = self.create_robot(self.source) # Normally we don't make assumptions on how add_robot_annotations() # assigns confidences after the first one, but since we only have 2 # labels in the labelset, it should be safe to assume confidences of # 60 and 40 if we pass a top score of 60. self.add_robot_annotations(robot, self.img1, {1: ('B', 60)}) post_data = self.default_search_params.copy() post_data['optional_columns'] = ['machine_suggestions'] response = self.export_annotations(post_data) expected_lines = [ 'Name,Row,Column,Label' ',Machine suggestion 1,Machine confidence 1' ',Machine suggestion 2,Machine confidence 2', '1.jpg,149,199,B,B,60,A,40', ] self.assert_csv_content_equal(response.content, expected_lines) @override_settings(NBR_SCORES_PER_ANNOTATION=3) def test_some_suggestions_filled(self): robot = self.create_robot(self.source) # As before, we're assuming this gets confidences of 60 and 40. self.add_robot_annotations(robot, self.img1, {1: ('B', 60)}) post_data = self.default_search_params.copy() post_data['optional_columns'] = ['machine_suggestions'] response = self.export_annotations(post_data) expected_lines = [ 'Name,Row,Column,Label' ',Machine suggestion 1,Machine confidence 1' ',Machine suggestion 2,Machine confidence 2' ',Machine suggestion 3,Machine confidence 3', '1.jpg,149,199,B,B,60,A,40,,', ] self.assert_csv_content_equal(response.content, expected_lines) class MetadataAuxColumnsTest(BaseExportTest): """Test the optional aux. metadata columns.""" @classmethod def setUpTestData(cls): super().setUpTestData() cls.user = cls.create_user() cls.source = cls.create_source( cls.user, point_generation_type=PointGen.Types.UNIFORM, number_of_cell_rows=1, number_of_cell_columns=1, ) labels = cls.create_labels(cls.user, ['A', 'B'], 'GroupA') cls.create_labelset(cls.user, cls.source, labels) cls.img1 = cls.upload_image( cls.user, cls.source, dict(filename='1.jpg', width=400, height=300)) def test_blank(self): self.add_annotations(self.user, self.img1, {1: 'B'}) post_data = self.default_search_params.copy() post_data['optional_columns'] = ['metadata_date_aux'] response = self.export_annotations(post_data) expected_lines = [ 'Name,Date,Aux1,Aux2,Aux3,Aux4,Aux5,Row,Column,Label', '1.jpg,,,,,,,149,199,B', ] self.assert_csv_content_equal(response.content, expected_lines) def test_filled(self): self.img1.metadata.photo_date = datetime.date(2001, 2, 3) self.img1.metadata.aux1 = "Site A" self.img1.metadata.aux2 = "Transect 1-2" self.img1.metadata.aux3 = "Quadrant 5" self.img1.metadata.save() self.add_annotations(self.user, self.img1, {1: 'B'}) post_data = self.default_search_params.copy() post_data['optional_columns'] = ['metadata_date_aux'] response = self.export_annotations(post_data) expected_lines = [ 'Name,Date,Aux1,Aux2,Aux3,Aux4,Aux5,Row,Column,Label', '1.jpg,2001-02-03,Site A,Transect 1-2,Quadrant 5,,,149,199,B', ] self.assert_csv_content_equal(response.content, expected_lines) def test_named_aux_fields(self): self.source.key1 = "Site" self.source.key2 = "Transect" self.source.key3 = "Quadrant" self.source.save() self.img1.metadata.photo_date = datetime.date(2001, 2, 3) self.img1.metadata.aux1 = "Site A" self.img1.metadata.aux2 = "Transect 1-2" self.img1.metadata.aux3 = "Quadrant 5" self.img1.metadata.save() self.add_annotations(self.user, self.img1, {1: 'B'}) post_data = self.default_search_params.copy() post_data['optional_columns'] = ['metadata_date_aux'] response = self.export_annotations(post_data) expected_lines = [ 'Name,Date,Site,Transect,Quadrant,Aux4,Aux5,Row,Column,Label', '1.jpg,2001-02-03,Site A,Transect 1-2,Quadrant 5,,,149,199,B', ] self.assert_csv_content_equal(response.content, expected_lines) class MetadataOtherColumnsTest(BaseExportTest): """Test the optional other metadata columns.""" @classmethod def setUpTestData(cls): super().setUpTestData() cls.user = cls.create_user() cls.source = cls.create_source( cls.user, point_generation_type=PointGen.Types.UNIFORM, number_of_cell_rows=1, number_of_cell_columns=1, ) labels = cls.create_labels(cls.user, ['A', 'B'], 'GroupA') cls.create_labelset(cls.user, cls.source, labels) cls.img1 = cls.upload_image( cls.user, cls.source, dict(filename='1.jpg', width=400, height=300)) def test_blank(self): self.add_annotations(self.user, self.img1, {1: 'B'}) post_data = self.default_search_params.copy() post_data['optional_columns'] = ['metadata_other'] response = self.export_annotations(post_data) expected_lines = [ 'Name,Height (cm),Latitude,Longitude,Depth,Camera,Photographer' ',Water quality,Strobes,Framing gear used,White balance card' ',Comments,Row,Column,Label', '1.jpg,,,,,,,,,,,,149,199,B', ] self.assert_csv_content_equal(response.content, expected_lines) def test_filled(self): self.img1.metadata.height_in_cm = 40 self.img1.metadata.latitude = "5.789" self.img1.metadata.longitude = "-50" self.img1.metadata.depth = "10m" self.img1.metadata.camera = "Nikon" self.img1.metadata.photographer = "John Doe" self.img1.metadata.water_quality = "Clear" self.img1.metadata.strobes = "White A" self.img1.metadata.framing = "Framing set C" self.img1.metadata.balance = "Card B" self.img1.metadata.comments = "Here are\nsome comments." self.img1.metadata.save() self.add_annotations(self.user, self.img1, {1: 'B'}) post_data = self.default_search_params.copy() post_data['optional_columns'] = ['metadata_other'] response = self.export_annotations(post_data) expected_lines = [ 'Name,Height (cm),Latitude,Longitude,Depth,Camera,Photographer' ',Water quality,Strobes,Framing gear used,White balance card' ',Comments,Row,Column,Label', '1.jpg,40,5.789,-50,10m,Nikon,John Doe' ',Clear,White A,Framing set C,Card B' ',"Here are\nsome comments.",149,199,B', ] self.assert_csv_content_equal(response.content, expected_lines) class MoreOptionalColumnsCasesTest(BaseExportTest): """Test combinations of optional column sets, and invalid columns.""" @classmethod def setUpTestData(cls): super().setUpTestData() cls.user = cls.create_user() cls.source = cls.create_source( cls.user, point_generation_type=PointGen.Types.UNIFORM, number_of_cell_rows=1, number_of_cell_columns=1, ) labels = cls.create_labels(cls.user, ['A', 'B'], 'GroupA') cls.create_labelset(cls.user, cls.source, labels) cls.img1 = cls.upload_image( cls.user, cls.source, dict(filename='1.jpg', width=400, height=300)) def test_both_metadata_column_sets(self): self.source.key1 = "Site" self.source.key2 = "Transect" self.source.key3 = "Quadrant" self.source.save() self.img1.metadata.photo_date = datetime.date(2001, 2, 3) self.img1.metadata.aux1 = "Site A" self.img1.metadata.aux2 = "Transect 1-2" self.img1.metadata.aux3 = "Quadrant 5" self.img1.metadata.height_in_cm = 40 self.img1.metadata.latitude = "5.789" self.img1.metadata.longitude = "-50" self.img1.metadata.depth = "10m" self.img1.metadata.camera = "Nikon" self.img1.metadata.photographer = "John Doe" self.img1.metadata.water_quality = "Clear" self.img1.metadata.strobes = "White A" self.img1.metadata.framing = "Framing set C" self.img1.metadata.balance = "Card B" self.img1.metadata.comments = "Here are\nsome comments." self.img1.metadata.save() self.add_annotations(self.user, self.img1, {1: 'B'}) post_data = self.default_search_params.copy() post_data['optional_columns'] = ['metadata_date_aux', 'metadata_other'] response = self.export_annotations(post_data) expected_lines = [ 'Name,Date,Site,Transect,Quadrant,Aux4,Aux5' ',Height (cm),Latitude,Longitude,Depth,Camera,Photographer' ',Water quality,Strobes,Framing gear used,White balance card' ',Comments,Row,Column,Label', '1.jpg,2001-02-03,Site A,Transect 1-2,Quadrant 5' ',,,40,5.789,-50,10m,Nikon,John Doe' ',Clear,White A,Framing set C,Card B' ',"Here are\nsome comments.",149,199,B', ] self.assert_csv_content_equal(response.content, expected_lines) def test_another_combination_of_two_sets(self): self.source.key1 = "Site" self.source.key2 = "Transect" self.source.key3 = "Quadrant" self.source.save() self.img1.metadata.photo_date = datetime.date(2001, 2, 3) self.img1.metadata.aux1 = "Site A" self.img1.metadata.aux2 = "Transect 1-2" self.img1.metadata.aux3 = "Quadrant 5" self.img1.metadata.save() self.add_annotations(self.user, self.img1, {1: 'B'}) post_data = self.default_search_params.copy() post_data['optional_columns'] = ['annotator_info', 'metadata_date_aux'] response = self.export_annotations(post_data) annotation_date = \ Annotation.objects.get(image=self.img1).annotation_date date_str = annotation_date.strftime('%Y-%m-%d %H:%M:%S+00:00') expected_lines = [ 'Name,Date,Site,Transect,Quadrant,Aux4,Aux5' ',Row,Column,Label,Annotator,Date annotated', '1.jpg,2001-02-03,Site A,Transect 1-2,Quadrant 5,,' ',149,199,B,{username},{date}'.format( username=self.user.username, date=date_str), ] self.assert_csv_content_equal(response.content, expected_lines) @override_settings(NBR_SCORES_PER_ANNOTATION=2) def test_all_sets(self): self.source.key1 = "Site" self.source.key2 = "Transect" self.source.key3 = "Quadrant" self.source.save() self.img1.metadata.photo_date = datetime.date(2001, 2, 3) self.img1.metadata.aux1 = "Site A" self.img1.metadata.aux2 = "Transect 1-2" self.img1.metadata.aux3 = "Quadrant 5" self.img1.metadata.height_in_cm = 40 self.img1.metadata.latitude = "5.789" self.img1.metadata.longitude = "-50" self.img1.metadata.depth = "10m" self.img1.metadata.camera = "Nikon" self.img1.metadata.photographer = "John Doe" self.img1.metadata.water_quality = "Clear" self.img1.metadata.strobes = "White A" self.img1.metadata.framing = "Framing set C" self.img1.metadata.balance = "Card B" self.img1.metadata.comments = "Here are\nsome comments." self.img1.metadata.save() robot = self.create_robot(self.source) self.add_robot_annotations(robot, self.img1, {1: ('B', 60)}) self.add_annotations(self.user, self.img1, {1: 'B'}) post_data = self.default_search_params.copy() post_data['optional_columns'] = [ 'annotator_info', 'machine_suggestions', 'metadata_date_aux', 'metadata_other'] response = self.export_annotations(post_data) annotation_date = \ Annotation.objects.get(image=self.img1).annotation_date date_str = annotation_date.strftime('%Y-%m-%d %H:%M:%S+00:00') expected_lines = [ 'Name,Date,Site,Transect,Quadrant,Aux4,Aux5' ',Height (cm),Latitude,Longitude,Depth,Camera,Photographer' ',Water quality,Strobes,Framing gear used,White balance card' ',Comments,Row,Column,Label' ',Annotator,Date annotated' ',Machine suggestion 1,Machine confidence 1' ',Machine suggestion 2,Machine confidence 2', '1.jpg,2001-02-03,Site A,Transect 1-2,Quadrant 5,,' ',40,5.789,-50,10m,Nikon,John Doe' ',Clear,White A,Framing set C,Card B' ',"Here are\nsome comments.",149,199,B' ',{username},{date},B,60,A,40'.format( username=self.user.username, date=date_str), ] self.assert_csv_content_equal(response.content, expected_lines) def test_invalid_column_name(self): self.add_annotations(self.user, self.img1, {1: 'B'}) post_data = self.default_search_params.copy() post_data['optional_columns'] = ['jpg_files'] response = self.export_annotations(post_data) # Display an error in HTML instead of serving CSV. self.assertTrue(response['content-type'].startswith('text/html')) self.assertContains( response, "Select a valid choice." " jpg_files is not one of the available choices.") class UnicodeTest(BaseExportTest): """Test that non-ASCII characters don't cause problems.""" @classmethod def setUpTestData(cls): super().setUpTestData() cls.user = cls.create_user() cls.source = cls.create_source( cls.user, point_generation_type=PointGen.Types.UNIFORM, number_of_cell_rows=1, number_of_cell_columns=1, ) labels = cls.create_labels(cls.user, ['A', 'B'], 'GroupA') cls.create_labelset(cls.user, cls.source, labels) # Unicode custom label code local_label = cls.source.labelset.locallabel_set.get(code='B') local_label.code = 'い' local_label.save() cls.img1 = cls.upload_image( cls.user, cls.source, dict(filename='あ.jpg', width=400, height=300)) def test(self): self.add_annotations(self.user, self.img1, {1: 'い'}) post_data = self.default_search_params.copy() response = self.export_annotations(post_data) expected_lines = [ 'Name,Row,Column,Label', 'あ.jpg,149,199,い', ] self.assert_csv_content_equal( response.content, expected_lines) class UploadAndExportSameDataTest(BaseExportTest): """Test that we can upload a CSV and then export the exact same CSV.""" @classmethod def setUpTestData(cls): super().setUpTestData() cls.user = cls.create_user() cls.source = cls.create_source( cls.user, point_generation_type=PointGen.Types.UNIFORM, number_of_cell_rows=1, number_of_cell_columns=1, ) labels = cls.create_labels(cls.user, ['A', 'B'], 'GroupA') cls.create_labelset(cls.user, cls.source, labels) def test(self): self.img1 = self.upload_image( self.user, self.source, dict(filename='1.jpg', width=400, height=300)) # Upload annotations content = '' csv_lines = [ 'Name,Row,Column,Label', '1.jpg,149,199,A', ] for line in csv_lines: content += (line + '\n') csv_file = ContentFile(content, name='annotations.csv') self.client.force_login(self.user) self.client.post( resolve_url('upload_annotations_csv_preview_ajax', self.source.pk), {'csv_file': csv_file}, ) self.client.post( resolve_url('upload_annotations_ajax', self.source.pk), ) # Export annotations post_data = self.default_search_params.copy() response = self.export_annotations(post_data) self.assert_csv_content_equal(response.content, csv_lines)

38.427184

79

0.622

3,957

31,664

4.801365

0.080364

0.042107

0.051371

0.035107

0.848676

0.839781

0.836044

0.822517

0.816727

0.8042

0

0.038195

0.251705

31,664

823

80

38.473876

0.763653

0.044404

0

0.738931

0

0.006107

0.156887

0.054861

0

0.050382

1

0.059542

false

0

0.018321

0

0.09313

0

null

0

1

0

1

0

null

0

7

89652e0cdf60affecd26292ef2ffa540a293d51b

75

py

Python

grid/app/main/routes/__init__.py

sachin-101/PyGrid

b8d3c360cf4ae447ead199f72fda7fd74c5ed79e

[ "Apache-2.0" ]

null

grid/app/main/routes/__init__.py

sachin-101/PyGrid

b8d3c360cf4ae447ead199f72fda7fd74c5ed79e

[ "Apache-2.0" ]

null

grid/app/main/routes/__init__.py

sachin-101/PyGrid

b8d3c360cf4ae447ead199f72fda7fd74c5ed79e

[ "Apache-2.0" ]

1

2021-07-06T04:30:51.000Z

from .sfl.routes import * from .dfl.routes import * from .general import *

18.75

25

0.733333

11

75

5

0.545455

0.436364

0.581818

0

0.16

75

3

26

25

0.873016

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

897693fce29e73bf0178881bdf6afb39110a1eb6

1,574

py

Python

models/pointnet_cls.py

hnVfly/pointnet.mxnet

1d214a687bdddf488167204ad787d1a8b0770556

[ "MIT" ]

2

2018-08-30T11:57:19.000Z

2018-08-31T01:44:06.000Z

models/pointnet_cls.py

hnVfly/pointnet.mxnet

1d214a687bdddf488167204ad787d1a8b0770556

[ "MIT" ]

null

models/pointnet_cls.py

hnVfly/pointnet.mxnet

1d214a687bdddf488167204ad787d1a8b0770556

[ "MIT" ]

null

from mxnet import nd from mxnet.gluon import nn from models.pointnet_globalfeat import PointNetfeat from models.pointnet_globalfeat import PointNetfeat_vanilla class PointNetCls_vanilla(nn.Block): def __init__(self, num_points=2500, k=2, routing=None): super(PointNetCls_vanilla, self).__init__() self.num_points = num_points self.feat = PointNetfeat_vanilla(num_points, global_feat=True, routing=routing) self.fc1 = nn.Dense(512) self.fc2 = nn.Dense(256) self.fc3 = nn.Dense(k) self.dp = nn.Dropout(.7) self.bn1 = nn.BatchNorm(in_channels=512) self.bn2 = nn.BatchNorm(in_channels=256) def forward(self, x): x, trans = self.feat(x) x = nd.relu(self.bn1(self.fc1(x))) x = nd.relu(self.bn2(self.fc2(x))) x = self.dp(x) x = self.fc3(x) return x, trans class PointNetCls(nn.Block): def __init__(self, num_points=2500, k=2, routing=None): super(PointNetCls, self).__init__() self.num_points = num_points self.feat = PointNetfeat(num_points, global_feat=True, routing=routing) self.fc1 = nn.Dense(512) self.fc2 = nn.Dense(256) self.fc3 = nn.Dense(k) self.dp = nn.Dropout(.7) self.bn1 = nn.BatchNorm(in_channels=512) self.bn2 = nn.BatchNorm(in_channels=256) def forward(self, x): x, trans = self.feat(x) x = nd.relu(self.bn1(self.fc1(x))) x = nd.relu(self.bn2(self.fc2(x))) x = self.dp(x) x = self.fc3(x) return x, trans

34.977778

87

0.623253

231

1,574

4.090909

0.203463

0.021164

0.046561

0.071958

0.895238

0.797884

0

0.047297

0.247776

1,574

45

88

34.977778

0.750845

0

0.75

0

1

0.1

false

0

0.1

0

0.3

0

null

0

1

0

1

0

null

0

7

89884681e1054ef492cbfc8911f147d6e91a5f58

301

py

Python

impl/multiply/__init__.py

cmrudolph/algorithms

3097d0082094ade4de654b342db09be22e2917ba

[ "MIT" ]

null

impl/multiply/__init__.py

cmrudolph/algorithms

3097d0082094ade4de654b342db09be22e2917ba

[ "MIT" ]

null

impl/multiply/__init__.py

cmrudolph/algorithms

3097d0082094ade4de654b342db09be22e2917ba

[ "MIT" ]

null

from .multiply import (c_long, c_recursive, py_builtin, adapt_benchmark_args, adapt_run_args) __all__ = [ 'c_long', 'c_recursive', 'py_builtin', 'adapt_benchmark_args', 'adapt_run_args' ]

21.5

44

0.488372

28

301

4.607143

0.464286

0.077519

0.093023

0.232558

0.837209

0

0.431894

301

13

45

23.153846

0.754386

0

0.202658

0

1

0

false

0

0.083333

0

0.083333

0

1

0

null

0

1

0

null

0

8

98adc8f7b956fd8d3b9dfbd91b0183aa69d9ba29

17,802

py

Python

src/klima_price/main.py

0xJem/discord-bots

46ce60e9e64ba0643f8dbb15a4970a68482a4813

[ "MIT" ]

1

2021-12-24T03:05:43.000Z

src/klima_price/main.py

frankTurtle/discord-bots

376527ad32537b303a4718a525369df2f513cf2a

[ "MIT" ]

null

src/klima_price/main.py

frankTurtle/discord-bots

376527ad32537b303a4718a525369df2f513cf2a

[ "MIT" ]

null

import os import json from web3 import Web3 import discord from discord.ext import commands, tasks BOT_TOKEN = os.environ["DISCORD_BOT_TOKEN"] # Initialized Discord client intents = discord.Intents.all() intents.members = True client = commands.Bot(intents=intents, help_command=None, command_prefix='&?') # Initialize web3 project_id = os.environ['WEB3_INFURA_PROJECT_ID'] polygon_mainnet_endpoint = f'https://polygon-mainnet.infura.io/v3/{project_id}' web3 = Web3(Web3.HTTPProvider(polygon_mainnet_endpoint)) assert(web3.isConnected()) def lp_contract_info(sushi_address, basePrice=1): address = Web3.toChecksumAddress(sushi_address) abi = json.loads('[{"inputs":[],"stateMutability":"nonpayable","type":"constructor"},{"anonymous":false,"inputs":[{"indexed":true,"internalType":"address","name":"owner","type":"address"},{"indexed":true,"internalType":"address","name":"spender","type":"address"},{"indexed":false,"internalType":"uint256","name":"value","type":"uint256"}],"name":"Approval","type":"event"},{"anonymous":false,"inputs":[{"indexed":true,"internalType":"address","name":"sender","type":"address"},{"indexed":false,"internalType":"uint256","name":"amount0","type":"uint256"},{"indexed":false,"internalType":"uint256","name":"amount1","type":"uint256"},{"indexed":true,"internalType":"address","name":"to","type":"address"}],"name":"Burn","type":"event"},{"anonymous":false,"inputs":[{"indexed":true,"internalType":"address","name":"sender","type":"address"},{"indexed":false,"internalType":"uint256","name":"amount0","type":"uint256"},{"indexed":false,"internalType":"uint256","name":"amount1","type":"uint256"}],"name":"Mint","type":"event"},{"anonymous":false,"inputs":[{"indexed":true,"internalType":"address","name":"sender","type":"address"},{"indexed":false,"internalType":"uint256","name":"amount0In","type":"uint256"},{"indexed":false,"internalType":"uint256","name":"amount1In","type":"uint256"},{"indexed":false,"internalType":"uint256","name":"amount0Out","type":"uint256"},{"indexed":false,"internalType":"uint256","name":"amount1Out","type":"uint256"},{"indexed":true,"internalType":"address","name":"to","type":"address"}],"name":"Swap","type":"event"},{"anonymous":false,"inputs":[{"indexed":false,"internalType":"uint112","name":"reserve0","type":"uint112"},{"indexed":false,"internalType":"uint112","name":"reserve1","type":"uint112"}],"name":"Sync","type":"event"},{"anonymous":false,"inputs":[{"indexed":true,"internalType":"address","name":"from","type":"address"},{"indexed":true,"internalType":"address","name":"to","type":"address"},{"indexed":false,"internalType":"uint256","name":"value","type":"uint256"}],"name":"Transfer","type":"event"},{"inputs":[],"name":"DOMAIN_SEPARATOR","outputs":[{"internalType":"bytes32","name":"","type":"bytes32"}],"stateMutability":"view","type":"function"},{"inputs":[],"name":"MINIMUM_LIQUIDITY","outputs":[{"internalType":"uint256","name":"","type":"uint256"}],"stateMutability":"view","type":"function"},{"inputs":[],"name":"PERMIT_TYPEHASH","outputs":[{"internalType":"bytes32","name":"","type":"bytes32"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"address","name":"","type":"address"},{"internalType":"address","name":"","type":"address"}],"name":"allowance","outputs":[{"internalType":"uint256","name":"","type":"uint256"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"address","name":"spender","type":"address"},{"internalType":"uint256","name":"value","type":"uint256"}],"name":"approve","outputs":[{"internalType":"bool","name":"","type":"bool"}],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"address","name":"","type":"address"}],"name":"balanceOf","outputs":[{"internalType":"uint256","name":"","type":"uint256"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"address","name":"to","type":"address"}],"name":"burn","outputs":[{"internalType":"uint256","name":"amount0","type":"uint256"},{"internalType":"uint256","name":"amount1","type":"uint256"}],"stateMutability":"nonpayable","type":"function"},{"inputs":[],"name":"decimals","outputs":[{"internalType":"uint8","name":"","type":"uint8"}],"stateMutability":"view","type":"function"},{"inputs":[],"name":"factory","outputs":[{"internalType":"address","name":"","type":"address"}],"stateMutability":"view","type":"function"},{"inputs":[],"name":"getReserves","outputs":[{"internalType":"uint112","name":"_reserve0","type":"uint112"},{"internalType":"uint112","name":"_reserve1","type":"uint112"},{"internalType":"uint32","name":"_blockTimestampLast","type":"uint32"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"address","name":"_token0","type":"address"},{"internalType":"address","name":"_token1","type":"address"}],"name":"initialize","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[],"name":"kLast","outputs":[{"internalType":"uint256","name":"","type":"uint256"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"address","name":"to","type":"address"}],"name":"mint","outputs":[{"internalType":"uint256","name":"liquidity","type":"uint256"}],"stateMutability":"nonpayable","type":"function"},{"inputs":[],"name":"name","outputs":[{"internalType":"string","name":"","type":"string"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"address","name":"","type":"address"}],"name":"nonces","outputs":[{"internalType":"uint256","name":"","type":"uint256"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"address","name":"owner","type":"address"},{"internalType":"address","name":"spender","type":"address"},{"internalType":"uint256","name":"value","type":"uint256"},{"internalType":"uint256","name":"deadline","type":"uint256"},{"internalType":"uint8","name":"v","type":"uint8"},{"internalType":"bytes32","name":"r","type":"bytes32"},{"internalType":"bytes32","name":"s","type":"bytes32"}],"name":"permit","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[],"name":"price0CumulativeLast","outputs":[{"internalType":"uint256","name":"","type":"uint256"}],"stateMutability":"view","type":"function"},{"inputs":[],"name":"price1CumulativeLast","outputs":[{"internalType":"uint256","name":"","type":"uint256"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"address","name":"to","type":"address"}],"name":"skim","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"uint256","name":"amount0Out","type":"uint256"},{"internalType":"uint256","name":"amount1Out","type":"uint256"},{"internalType":"address","name":"to","type":"address"},{"internalType":"bytes","name":"data","type":"bytes"}],"name":"swap","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[],"name":"symbol","outputs":[{"internalType":"string","name":"","type":"string"}],"stateMutability":"view","type":"function"},{"inputs":[],"name":"sync","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[],"name":"token0","outputs":[{"internalType":"address","name":"","type":"address"}],"stateMutability":"view","type":"function"},{"inputs":[],"name":"token1","outputs":[{"internalType":"address","name":"","type":"address"}],"stateMutability":"view","type":"function"},{"inputs":[],"name":"totalSupply","outputs":[{"internalType":"uint256","name":"","type":"uint256"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"address","name":"to","type":"address"},{"internalType":"uint256","name":"value","type":"uint256"}],"name":"transfer","outputs":[{"internalType":"bool","name":"","type":"bool"}],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"address","name":"from","type":"address"},{"internalType":"address","name":"to","type":"address"},{"internalType":"uint256","name":"value","type":"uint256"}],"name":"transferFrom","outputs":[{"internalType":"bool","name":"","type":"bool"}],"stateMutability":"nonpayable","type":"function"}]') # noqa: E501 sushiLP = web3.eth.contract(address=address, abi=abi) try: Reserves = sushiLP.functions.getReserves().call() # usdc-bct if sushi_address == '0x1e67124681b402064cd0abe8ed1b5c79d2e02f64': tokenPrice = Reserves[0]*basePrice*1e12/Reserves[1] # bct-klima else: tokenPrice = Reserves[0]*basePrice/(Reserves[1]*1e9) return(tokenPrice) except Exception: pass def klima_info(): address = Web3.toChecksumAddress("0x4e78011Ce80ee02d2c3e649Fb657E45898257815") abi = json.loads('[{"inputs":[],"stateMutability":"nonpayable","type":"constructor"},{"anonymous":false,"inputs":[{"indexed":true,"internalType":"address","name":"owner","type":"address"},{"indexed":true,"internalType":"address","name":"spender","type":"address"},{"indexed":false,"internalType":"uint256","name":"value","type":"uint256"}],"name":"Approval","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":false,"internalType":"uint256","name":"previousTWAPEpochPeriod","type":"uint256"},{"indexed":false,"internalType":"uint256","name":"newTWAPEpochPeriod","type":"uint256"}],"name":"TWAPEpochChanged","type":"event"},{"anonymous":false,"inputs":[{"indexed":true,"internalType":"address","name":"previousTWAPOracle","type":"address"},{"indexed":true,"internalType":"address","name":"newTWAPOracle","type":"address"}],"name":"TWAPOracleChanged","type":"event"},{"anonymous":false,"inputs":[{"indexed":true,"internalType":"address","name":"newTWAPSource","type":"address"}],"name":"TWAPSourceAdded","type":"event"},{"anonymous":false,"inputs":[{"indexed":true,"internalType":"address","name":"removedTWAPSource","type":"address"}],"name":"TWAPSourceRemoved","type":"event"},{"anonymous":false,"inputs":[{"indexed":true,"internalType":"address","name":"from","type":"address"},{"indexed":true,"internalType":"address","name":"to","type":"address"},{"indexed":false,"internalType":"uint256","name":"value","type":"uint256"}],"name":"Transfer","type":"event"},{"inputs":[],"name":"DOMAIN_SEPARATOR","outputs":[{"internalType":"bytes32","name":"","type":"bytes32"}],"stateMutability":"view","type":"function"},{"inputs":[],"name":"PERMIT_TYPEHASH","outputs":[{"internalType":"bytes32","name":"","type":"bytes32"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"address","name":"account_","type":"address"},{"internalType":"uint256","name":"amount_","type":"uint256"}],"name":"_burnFrom","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"address","name":"newTWAPSourceDexPool_","type":"address"}],"name":"addTWAPSource","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"address","name":"owner","type":"address"},{"internalType":"address","name":"spender","type":"address"}],"name":"allowance","outputs":[{"internalType":"uint256","name":"","type":"uint256"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"address","name":"spender","type":"address"},{"internalType":"uint256","name":"amount","type":"uint256"}],"name":"approve","outputs":[{"internalType":"bool","name":"","type":"bool"}],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"address","name":"account","type":"address"}],"name":"balanceOf","outputs":[{"internalType":"uint256","name":"","type":"uint256"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"uint256","name":"amount","type":"uint256"}],"name":"burn","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"address","name":"account_","type":"address"},{"internalType":"uint256","name":"amount_","type":"uint256"}],"name":"burnFrom","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"uint256","name":"newTWAPEpochPeriod_","type":"uint256"}],"name":"changeTWAPEpochPeriod","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"address","name":"newTWAPOracle_","type":"address"}],"name":"changeTWAPOracle","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[],"name":"decimals","outputs":[{"internalType":"uint8","name":"","type":"uint8"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"address","name":"spender","type":"address"},{"internalType":"uint256","name":"subtractedValue","type":"uint256"}],"name":"decreaseAllowance","outputs":[{"internalType":"bool","name":"","type":"bool"}],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"address","name":"spender","type":"address"},{"internalType":"uint256","name":"addedValue","type":"uint256"}],"name":"increaseAllowance","outputs":[{"internalType":"bool","name":"","type":"bool"}],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"address","name":"account_","type":"address"},{"internalType":"uint256","name":"amount_","type":"uint256"}],"name":"mint","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[],"name":"name","outputs":[{"internalType":"string","name":"","type":"string"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"address","name":"owner","type":"address"}],"name":"nonces","outputs":[{"internalType":"uint256","name":"","type":"uint2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ITWAPOracle","name":"","type":"address"}],"stateMutability":"view","type":"function"},{"inputs":[],"name":"vault","outputs":[{"internalType":"address","name":"","type":"address"}],"stateMutability":"view","type":"function"}]') # noqa: E501 klima_contract = web3.eth.contract(address=address, abi=abi) try: total_supply = klima_contract.functions.totalSupply().call() return(total_supply/1e9) except Exception: pass def get_info(): bct_price = lp_contract_info(sushi_address='0x1e67124681b402064cd0abe8ed1b5c79d2e02f64') klima_price = lp_contract_info(sushi_address='0x9803c7ae526049210a1725f7487af26fe2c24614', basePrice=bct_price) # noqa: E501 supply = klima_info() return(klima_price, supply) @client.event async def on_ready(): print('Logged in as {0.user}'.format(client)) if not update_info.is_running(): update_info.start() @tasks.loop(seconds=300) async def update_info(): price, supply = get_info() if price is not None: print(f'${price:,.2f} KLIMA') print(f'Marketcap: ${price*supply/1e6:,.1f}M') for guild in client.guilds: guser = guild.get_member(client.user.id) try: await guser.edit(nick=f'${price:,.2f} KLIMA') except discord.errors.HTTPException: return if supply is not None: try: await client.change_presence( activity=discord.Activity( type=discord.ActivityType.playing, name=f'Marketcap: ${price*supply/1e6:,.1f}M' ) ) except discord.errors.HTTPException: return client.run(BOT_TOKEN)

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7f4a1f54cb53c4f2cb4e60edbc97d732443fdf42

9,921

py

Python

pysbm/sbm/peixotos_hierarchical_sbm_full.py

DM2-ND/CFLP

c3e29a73fc9e0779e4bcfd5fefcc314df959351f

[ "Apache-2.0" ]

13

2021-06-07T04:29:39.000Z

2022-03-25T05:58:33.000Z

pysbm/sbm/peixotos_hierarchical_sbm_full.py

DM2-ND/CFLP

c3e29a73fc9e0779e4bcfd5fefcc314df959351f

[ "Apache-2.0" ]

2

2021-11-04T02:26:05.000Z

2021-11-22T17:55:01.000Z

pysbm/sbm/peixotos_hierarchical_sbm_full.py

DM2-ND/CFLP

c3e29a73fc9e0779e4bcfd5fefcc314df959351f

[ "Apache-2.0" ]

2

2021-06-10T17:12:31.000Z

2022-01-11T15:47:09.000Z

# Implementation based on the following publication of Tiago P. Peixoto # Nonparametric Bayesian inference of the microcanonical stochastic block model # full version with scipy import math from scipy.special import binom from .peixotos_flat_sbm_full import ModelLikelihoodOfFlatMicrocanonicalDegreeCorrectedSbm from .peixotos_hierarchical_sbm_tools_full import BINOMIALS from .nxpartitiongraphbased import NxHierarchicalPartition # --------------------------- # Hierarchical Version # --------------------------- # @formatter:off class ModelLikelihoodOfHierarchicalMicrocanonicalDegreeCorrectedSbm( ModelLikelihoodOfFlatMicrocanonicalDegreeCorrectedSbm): def calculate_complete_uniform_hyperprior_undirected(self, hierarchy_partition): saved_level = hierarchy_partition.actual_level hierarchy_partition.actual_level = 0 probability = 1 probability *= self._calculate_p_adjacency_undirected(hierarchy_partition) probability *= self._calculate_p_degree_sequence_uniform_hyperprior_undirected(hierarchy_partition) probability *= self._calculate_p_edge_counts_hierarchy_undirected(hierarchy_partition) hierarchy_partition.actual_level = saved_level return probability def calculate_complete_uniform_undirected(self, hierarchy_partition): saved_level = hierarchy_partition.actual_level hierarchy_partition.actual_level = 0 probability = 1 probability *= self._calculate_p_adjacency_undirected(hierarchy_partition) probability *= self._calculate_p_degree_sequence_uniform_undirected(hierarchy_partition) probability *= self._calculate_p_edge_counts_hierarchy_undirected(hierarchy_partition) hierarchy_partition.actual_level = saved_level return probability def calculate_complete_non_degree_corrected_undirected(self, hierarchy_partition): saved_level = hierarchy_partition.actual_level hierarchy_partition.actual_level = 0 probability = 1 probability *= self._calculate_non_degree_corrected_undirected(hierarchy_partition) probability *= self._calculate_p_edge_counts_hierarchy_undirected(hierarchy_partition) hierarchy_partition.actual_level = saved_level return probability @staticmethod def _calculate_p_edge_counts_hierarchy_undirected(hierarchy_partition): """ Formulas P({e_l}|{b_l}) = \prod_{l=1}^L P(e_l| e_{l+1}, b_l) P(e_l| e_{l+1}, b_l) = \prod_{r<s} (( n_r^l*n_s^l e_{rs}^{l+1} ))^{-1} * \prod_r (( n_r^l*(n_r^l + 1)/2 e_{rr}^{l+1}/2 ))^{-1} P({b_l}) = \prod_{l=1}^L P(b_l) with P(b_l) as above P(b_l) = \prod_r n^l_r! / B_{l-1}! * \nCr{B_{l-1}-1, B_l-1)^{-1} * 1/B_{l-1} and boundary condition B_0 = N :param hierarchy_partition: :type hierarchy_partition NxHierarchicalPartition :return: """ # Notation with e_{rs}^{l+1} a little bit confusing, it is the number of edges between group n_r^l and n_s^l # which we save here in level l at edge_count(r,s) probability = 1 number_of_blocks = 1 for level in hierarchy_partition.iter_levels(): hierarchy_partition.actual_level = level number_of_blocks = hierarchy_partition.B for r in range(number_of_blocks): n_r = hierarchy_partition.get_number_of_nodes_in_block(r) for s in range(r + 1, number_of_blocks): n_s = hierarchy_partition.get_number_of_nodes_in_block(s) temp = hierarchy_partition.get_edge_count(r, s) binomial_values = (n_r * n_s + temp - 1, temp) if binomial_values not in BINOMIALS: BINOMIALS[binomial_values] = binom(*binomial_values) probability /= BINOMIALS[binomial_values] # second product temp = hierarchy_partition.get_edge_count(r, r) / 2 binomial_values = (n_r * (n_r + 1) / 2 + temp - 1, temp) if binomial_values not in BINOMIALS: BINOMIALS[binomial_values] = binom(*binomial_values) probability /= BINOMIALS[binomial_values] probability *= math.factorial(n_r) # group independent terms of last product number_of_blocks_below = hierarchy_partition.get_number_of_blocks_in_level(level - 1) probability /= math.factorial(number_of_blocks_below) binomial_values = (number_of_blocks_below - 1, number_of_blocks - 1) if binomial_values not in BINOMIALS: BINOMIALS[binomial_values] = binom(*binomial_values) probability /= BINOMIALS[binomial_values] probability /= number_of_blocks_below # add last hierarchy level (singleton B_L = 1 not included in hierarchy partition) number_of_blocks_below = number_of_blocks binomial_values = ( number_of_blocks_below * (number_of_blocks_below + 1) / 2 + hierarchy_partition.edge_total - 1, hierarchy_partition.edge_total) if binomial_values not in BINOMIALS: BINOMIALS[binomial_values] = binom(*binomial_values) probability /= BINOMIALS[binomial_values] # next factor \prod_r n_r^L!/B_{L-1}! is always one (n_r^L = n_1^L = B_{L-1}) # next factor simplifies to 1 too, because binomial above 0 is always 1 # and last factor probability /= number_of_blocks_below return probability # ---------------------------------- # directed Versions # ---------------------------------- def calculate_complete_uniform_hyperprior_directed(self, hierarchy_partition): saved_level = hierarchy_partition.actual_level hierarchy_partition.actual_level = 0 probability = 1 probability *= self._calculate_p_adjacency_directed(hierarchy_partition) probability *= self._calculate_p_degree_sequence_uniform_hyperprior_directed(hierarchy_partition) probability *= self._calculate_p_edge_counts_hierarchy_directed(hierarchy_partition) hierarchy_partition.actual_level = saved_level return probability def calculate_complete_uniform_directed(self, hierarchy_partition): saved_level = hierarchy_partition.actual_level hierarchy_partition.actual_level = 0 probability = 1 probability *= self._calculate_p_adjacency_directed(hierarchy_partition) probability *= self._calculate_p_degree_sequence_uniform_directed(hierarchy_partition) probability *= self._calculate_p_edge_counts_hierarchy_directed(hierarchy_partition) hierarchy_partition.actual_level = saved_level return probability def calculate_complete_non_degree_corrected_directed(self, hierarchy_partition): saved_level = hierarchy_partition.actual_level hierarchy_partition.actual_level = 0 probability = 1 probability *= self._calculate_non_degree_corrected_directed(hierarchy_partition) probability *= self._calculate_p_edge_counts_hierarchy_directed(hierarchy_partition) hierarchy_partition.actual_level = saved_level return probability @staticmethod def _calculate_p_edge_counts_hierarchy_directed(hierarchy_partition): """ Formulas P({e_l}|{b_l}) = \prod_{l=1}^L P(e_l| e_{l+1}, b_l) P(e_l| e_{l+1}, b_l) = \prod_{r,s} (( n_r^l*n_s^l e_{rs}^{l+1} ))^{-1} P({b_l}) = \prod_{l=1}^L P(b_l) with P(b_l) as above P(b_l) = \prod_r n^l_r! / B_{l-1}! * \nCr{B_{l-1}-1, B_l-1)^{-1} * 1/B_{l-1} and boundary condition B_0 = N :param hierarchy_partition: :type hierarchy_partition NxHierarchicalPartition :return: probability """ probability = 1 number_of_blocks = 1 for level in hierarchy_partition.iter_levels(): hierarchy_partition.actual_level = level number_of_blocks = hierarchy_partition.B for r in range(number_of_blocks): n_r = hierarchy_partition.get_number_of_nodes_in_block(r) for s in range(number_of_blocks): n_s = hierarchy_partition.get_number_of_nodes_in_block(s) temp = hierarchy_partition.get_edge_count(r, s) binomial_values = (n_r * n_s + temp - 1, temp) if binomial_values not in BINOMIALS: BINOMIALS[binomial_values] = binom(*binomial_values) probability /= BINOMIALS[binomial_values] probability *= math.factorial(n_r) number_of_blocks_below = hierarchy_partition.get_number_of_blocks_in_level(level - 1) probability /= math.factorial(number_of_blocks_below) binomial_values = (number_of_blocks_below - 1, number_of_blocks - 1) if binomial_values not in BINOMIALS: BINOMIALS[binomial_values] = binom(*binomial_values) probability /= BINOMIALS[binomial_values] probability /= number_of_blocks_below # include last hierarchy step number_of_blocks_below = number_of_blocks binomial_values = ( number_of_blocks_below * number_of_blocks_below + hierarchy_partition.edge_total - 1, hierarchy_partition.edge_total) if binomial_values not in BINOMIALS: BINOMIALS[binomial_values] = binom(*binomial_values) probability /= BINOMIALS[binomial_values] # next factor \prod_r n_r^L!/B_{L-1}! is always one (n_r^L = n_1^L = B_{L-1}) # next factor simplifies to 1 too, because binomial above 0 is always 1 # and last factor probability /= number_of_blocks_below return probability

47.4689

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7

7f7ee6e9933cd0117ae68c10e8ce70eb8c3e275e

14,347

py

Python

control/tests/test_api_question_file.py

SocialGouv/ecollecte

1bfce2e0700b563c111c11452356b46ecb2630e4

[ "MIT" ]

9

2018-11-28T07:36:37.000Z

2022-02-04T12:56:11.000Z

control/tests/test_api_question_file.py

betagouv/e-controle

b6f790ca2590ac257a47930a1e521b86ce3edb29

[ "MIT" ]

154

2018-11-22T14:41:17.000Z

2022-02-12T08:48:57.000Z

control/tests/test_api_question_file.py

betagouv/e-controle

b6f790ca2590ac257a47930a1e521b86ce3edb29

[ "MIT" ]

10

2018-11-13T06:57:10.000Z

2022-03-21T13:04:49.000Z

from pytest import mark from django.contrib.auth import get_user_model from django.shortcuts import reverse from rest_framework.test import APIClient from control.models import Control, QuestionFile, Questionnaire from tests import factories, utils from user_profiles.models import UserProfile pytestmark = mark.django_db client = APIClient() User = get_user_model() ## List API def list_annexes(user): utils.login(client, user=user) url = reverse('api:annexe-list') return client.get(url) def list_annexes_for_question(user, questionId): utils.login(client, user=user) url = f"{reverse('api:annexe-list')}?question={questionId}" return client.get(url) def test_inspector_can_list_question_file_from_draft_questionnaire(): inspector = factories.UserProfileFactory(profile_type=UserProfile.INSPECTOR) published_question_file = factories.QuestionFileFactory() published_questionnaire = published_question_file.question.theme.questionnaire published_questionnaire.is_draft = False published_questionnaire.save() assert Questionnaire.objects.get(id=published_questionnaire.id).is_published inspector.controls.add(published_questionnaire.control) draft_question_file = factories.QuestionFileFactory() draft_questionnaire = draft_question_file.question.theme.questionnaire draft_questionnaire.is_draft = True draft_questionnaire.save() assert Questionnaire.objects.get(id=draft_questionnaire.id).is_draft inspector.controls.add(draft_questionnaire.control) response = list_annexes(inspector.user) assert response.status_code == 200 assert published_question_file.file.name in str(response.content) assert draft_question_file.file.name in str(response.content) assert len(response.data) == 2 def test_audited_cannot_list_question_file_from_draft_questionnaire(): audited = factories.UserProfileFactory(profile_type=UserProfile.AUDITED) published_question_file = factories.QuestionFileFactory() published_questionnaire = published_question_file.question.theme.questionnaire published_questionnaire.is_draft = False published_questionnaire.save() assert Questionnaire.objects.get(id=published_questionnaire.id).is_published audited.controls.add(published_questionnaire.control) draft_question_file = factories.QuestionFileFactory() draft_questionnaire = draft_question_file.question.theme.questionnaire draft_questionnaire.is_draft = True draft_questionnaire.save() assert Questionnaire.objects.get(id=draft_questionnaire.id).is_draft audited.controls.add(draft_questionnaire.control) response = list_annexes(audited.user) assert response.status_code == 200 assert published_question_file.file.name in str(response.content) assert draft_question_file.file.name not in str(response.content) assert len(response.data) == 1 def test_audited_cannot_list_question_file_by_question_from_draft_questionnaire(): audited = factories.UserProfileFactory(profile_type=UserProfile.AUDITED) draft_question_file = factories.QuestionFileFactory() draft_questionnaire = draft_question_file.question.theme.questionnaire draft_questionnaire.is_draft = True draft_questionnaire.save() assert Questionnaire.objects.get(id=draft_questionnaire.id).is_draft audited.controls.add(draft_questionnaire.control) response = list_annexes_for_question(audited.user, draft_question_file.question.id) assert response.status_code == 200 assert len(response.data) == 0 assert draft_question_file.file.name not in str(response.content) def test_cannot_list_question_file_by_question_from_deleted_control(): deleted_question_file = factories.QuestionFileFactory() deleted_control = deleted_question_file.question.theme.questionnaire.control deleted_control.delete() assert Control.objects.get(id=deleted_control.id).is_deleted # Audited audited = factories.UserProfileFactory(profile_type=UserProfile.AUDITED) audited.controls.add(deleted_control) response = list_annexes_for_question(audited.user, deleted_question_file.question.id) assert response.status_code == 200 assert len(response.data) == 0 assert deleted_question_file.file.name not in str(response.content) # Inspector inspector = factories.UserProfileFactory(profile_type=UserProfile.INSPECTOR) inspector.controls.add(deleted_control) response = list_annexes_for_question(inspector.user, deleted_question_file.question.id) assert response.status_code == 200 assert len(response.data) == 0 assert deleted_question_file.file.name not in str(response.content) ### Retrive API endpoint closed. def get_question_file(user, id): return utils.get_resource(client, user, 'annexe', id) def update_question_file(user, payload): return utils.update_resource(client, user, 'annexe', payload) def test_cannot_get_question_file_even_if_user_belongs_to_control(): inspector = factories.UserProfileFactory(profile_type=UserProfile.INSPECTOR) audited = factories.UserProfileFactory(profile_type=UserProfile.AUDITED) question_file = factories.QuestionFileFactory() questionnaire = question_file.question.theme.questionnaire inspector.controls.add(questionnaire.control) audited.controls.add(questionnaire.control) questionnaire.is_draft = False questionnaire.save() assert Questionnaire.objects.get(id=questionnaire.id).is_published # method not allowed assert get_question_file(inspector.user, question_file.id).status_code == 405 assert get_question_file(audited.user, question_file.id).status_code == 405 def test_cannot_get_inexistant_question_file(): inspector = factories.UserProfileFactory(profile_type=UserProfile.INSPECTOR) # method not allowed assert get_question_file(inspector.user, 21038476187629481736498376).status_code == 405 def test_cannot_get_question_file_if_control_is_deleted(): inspector = factories.UserProfileFactory(profile_type=UserProfile.INSPECTOR) question_file = factories.QuestionFileFactory() inspector.controls.add(question_file.question.theme.questionnaire.control) question_file.question.theme.questionnaire.control.delete() # method not allowed assert get_question_file(inspector.user, question_file.id).status_code == 405 def test_audited_cannot_get_question_file_from_draft_questionnaire(): audited = factories.UserProfileFactory(profile_type=UserProfile.AUDITED) question_file = factories.QuestionFileFactory() audited.controls.add(question_file.question.theme.questionnaire.control) question_file.question.theme.questionnaire.is_draft = True question_file.question.theme.questionnaire.save() assert Questionnaire.objects.get(id=question_file.question.theme.questionnaire.id).is_draft # method not allowed assert get_question_file(audited.user, question_file.id).status_code == 405 def test_inspector_cannot_update_question_file_from_published_questionnaire(): inspector = factories.UserProfileFactory(profile_type=UserProfile.INSPECTOR) question_file = factories.QuestionFileFactory() questionnaire = question_file.question.theme.questionnaire inspector.controls.add(questionnaire.control) questionnaire.is_draft = False questionnaire.save() assert Questionnaire.objects.get(id=questionnaire.id).is_published payload = { "id": question_file.id, "question": question_file.question.id + 1 } # method not allowed assert update_question_file(inspector.user, payload).status_code == 405 def test_audited_cannot_update_question_file_from_published_questionnaire(): audited = factories.UserProfileFactory(profile_type=UserProfile.AUDITED) question_file = factories.QuestionFileFactory() questionnaire = question_file.question.theme.questionnaire audited.controls.add(questionnaire.control) questionnaire.is_draft = False questionnaire.save() assert Questionnaire.objects.get(id=questionnaire.id).is_published payload = { "id": question_file.id, "question": question_file.question.id + 1 } # forbidden assert update_question_file(audited.user, payload).status_code == 403 def test_audited_cannot_update_question_file_from_draft_questionnaire(): audited = factories.UserProfileFactory(profile_type=UserProfile.AUDITED) question_file = factories.QuestionFileFactory() questionnaire = question_file.question.theme.questionnaire audited.controls.add(questionnaire.control) questionnaire.is_draft = True questionnaire.save() assert Questionnaire.objects.get(id=questionnaire.id).is_draft payload = { "id": question_file.id, "question": question_file.question.id + 1 } # Forbidden assert update_question_file(audited.user, payload).status_code == 403 ### Upload API def test_inspector_can_upload_question_file(): inspector = factories.UserProfileFactory(profile_type=UserProfile.INSPECTOR) question = factories.QuestionFactory() questionnaire = question.theme.questionnaire questionnaire.is_draft = True questionnaire.save() inspector.controls.add(questionnaire.control) utils.login(client, user=inspector.user) url = reverse('api:annexe-list') count_before = QuestionFile.objects.count() post_data = { 'file': factories.dummy_file.open(), 'question': [question.id] } response = client.post(url, post_data, format='multipart') assert response.status_code == 201 count_after = QuestionFile.objects.count() assert count_after == count_before + 1 def test_inspector_cannot_upload_question_file_to_published_questionnaire(): inspector = factories.UserProfileFactory(profile_type=UserProfile.INSPECTOR) question = factories.QuestionFactory() questionnaire = question.theme.questionnaire questionnaire.is_draft = False questionnaire.save() inspector.controls.add(questionnaire.control) utils.login(client, user=inspector.user) url = reverse('api:annexe-list') count_before = QuestionFile.objects.count() post_data = { 'file': factories.dummy_file.open(), 'question': [question.id] } response = client.post(url, post_data, format='multipart') assert response.status_code == 403 count_after = QuestionFile.objects.count() assert count_after == count_before def test_inspector_can_remove_question_file(): inspector = factories.UserProfileFactory(profile_type=UserProfile.INSPECTOR) question_file = factories.QuestionFileFactory() questionnaire = question_file.question.theme.questionnaire questionnaire.is_draft = True questionnaire.save() inspector.controls.add(questionnaire.control) utils.login(client, user=inspector.user) url = reverse('api:annexe-detail', args=[question_file.id]) count_before = QuestionFile.objects.count() response = client.delete(url) assert response.status_code == 204 count_after = QuestionFile.objects.count() assert count_after == count_before - 1 def test_inspector_cannot_remove_question_file_if_control_is_published(): inspector = factories.UserProfileFactory(profile_type=UserProfile.INSPECTOR) question_file = factories.QuestionFileFactory() questionnaire = question_file.question.theme.questionnaire questionnaire.is_draft = False questionnaire.save() inspector.controls.add(questionnaire.control) utils.login(client, user=inspector.user) url = reverse('api:annexe-detail', args=[question_file.id]) count_before = QuestionFile.objects.count() response = client.delete(url) assert response.status_code == 403 count_after = QuestionFile.objects.count() assert count_after == count_before def test_inspector_cannot_remove_question_file_if_control_is_deleted(): inspector = factories.UserProfileFactory(profile_type=UserProfile.INSPECTOR) question_file = factories.QuestionFileFactory() inspector.controls.add(question_file.question.theme.questionnaire.control) utils.login(client, user=inspector.user) url = reverse('api:annexe-detail', args=[question_file.id]) count_before = QuestionFile.objects.count() question_file.question.theme.questionnaire.control.delete() response = client.delete(url) assert response.status_code == 404 count_after = QuestionFile.objects.count() assert count_after == count_before def test_cannot_upload_question_file_if_control_is_deleted(): inspector = factories.UserProfileFactory(profile_type=UserProfile.INSPECTOR) question = factories.QuestionFactory() inspector.controls.add(question.theme.questionnaire.control) utils.login(client, user=inspector.user) url = reverse('api:annexe-list') post_data = { 'file': factories.dummy_file.open(), 'question': [question.id] } question.theme.questionnaire.control.delete() response = client.post(url, post_data, format='multipart') assert response.status_code == 403 def test_audited_cannot_upload_question_file(): audited = factories.UserProfileFactory(profile_type=UserProfile.AUDITED) question = factories.QuestionFactory() audited.controls.add(question.theme.questionnaire.control) utils.login(client, user=audited.user) url = reverse('api:annexe-list') count_before = QuestionFile.objects.count() post_data = { 'file': factories.dummy_file.open(), 'question': [question.id] } response = client.post(url, post_data, format='multipart') assert response.status_code == 403 count_after = QuestionFile.objects.count() assert count_after == count_before def test_audited_cannot_remove_question_file(): audited = factories.UserProfileFactory(profile_type=UserProfile.AUDITED) question_file = factories.QuestionFileFactory() audited.controls.add(question_file.question.theme.questionnaire.control) utils.login(client, user=audited.user) url = reverse('api:annexe-detail', args=[question_file.id]) count_before = QuestionFile.objects.count() response = client.delete(url) assert response.status_code == 403 count_after = QuestionFile.objects.count() assert count_after == count_before

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null

0

7

7f8232bbb830d04a89909ffff83c22e464a7d30d

658

py

Python

own_practice/two_twelve.py

Ellis0817/Introduction-to-Programming-Using-Python

1882a2a846162d5ff56d4d56c3940b638ef408bd

[ "MIT" ]

null

own_practice/two_twelve.py

Ellis0817/Introduction-to-Programming-Using-Python

1882a2a846162d5ff56d4d56c3940b638ef408bd

[ "MIT" ]

4

2019-11-07T12:32:19.000Z

2020-07-19T14:04:44.000Z

own_practice/two_twelve.py

Ellis0817/Introduction-to-Programming-Using-Python

1882a2a846162d5ff56d4d56c3940b638ef408bd

[ "MIT" ]

5

2019-12-04T15:56:55.000Z

2022-01-14T06:19:18.000Z

""" 程式設計練習題 2.2-2.10 2.12 列印表格. 請撰寫一程式，顯示以下這個表格: ``` a b a ** b 1 2 1 2 3 8 3 4 81 4 5 1024 5 6 15625 ``` """ A_PRINT = 1 B_PRINT = 2 AB = A_PRINT ** B_PRINT print("a", "b", "a ** b") print(A_PRINT, B_PRINT, AB) A_PRINT += 1 B_PRINT += 1 AB = A_PRINT ** B_PRINT print(A_PRINT, B_PRINT, AB) A_PRINT += 1 B_PRINT += 1 AB = A_PRINT ** B_PRINT print(A_PRINT, B_PRINT, AB) A_PRINT += 1 B_PRINT += 1 AB = A_PRINT ** B_PRINT print(A_PRINT, B_PRINT, AB) A_PRINT += 1 B_PRINT += 1 AB = A_PRINT ** B_PRINT print(A_PRINT, B_PRINT, AB) A_PRINT += 1 B_PRINT += 1 AB = A_PRINT ** B_PRINT print(A_PRINT, B_PRINT, AB)

14.304348

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0

0.088843

0.264438

658

45

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0.28

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null

1

0

1

0

null

0

10

f69ce4649d313633435c0a82a4defb358ff6ed08

54

py

Python

projects/mypackage/__init__.py

monaen/DHLO2021-2021Spring

4953e0305b5b9b01341345c25933c1f2d0224104

[ "Apache-2.0" ]

2

2021-03-03T06:19:36.000Z

2021-09-27T09:47:00.000Z

projects/mypackage/__init__.py

monaen/DHLO2021-2021Spring

4953e0305b5b9b01341345c25933c1f2d0224104

[ "Apache-2.0" ]

null

projects/mypackage/__init__.py

monaen/DHLO2021-2021Spring

4953e0305b5b9b01341345c25933c1f2d0224104

[ "Apache-2.0" ]

null

from . import generate_num from . import print_results

27

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8

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7

12431a4f4d78b3a4fe80a92cbf0b4e13495035b1

3,710

py

Python

official/vision/beta/projects/volumetric_models/losses/segmentation_losses_test.py

hjkim-haga/TF-OD-API

22ac477ff4dfb93fe7a32c94b5f0b1e74330902b

[ "Apache-2.0" ]

null

official/vision/beta/projects/volumetric_models/losses/segmentation_losses_test.py

hjkim-haga/TF-OD-API

22ac477ff4dfb93fe7a32c94b5f0b1e74330902b

[ "Apache-2.0" ]

null

official/vision/beta/projects/volumetric_models/losses/segmentation_losses_test.py

hjkim-haga/TF-OD-API

22ac477ff4dfb93fe7a32c94b5f0b1e74330902b

[ "Apache-2.0" ]

null

<<<<<<< HEAD # Copyright 2021 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Tests for segmentation_losses.py.""" from absl.testing import parameterized import tensorflow as tf from official.vision.beta.projects.volumetric_models.losses import segmentation_losses class SegmentationLossDiceScoreTest(parameterized.TestCase, tf.test.TestCase): @parameterized.parameters((None, 0.5, 0.3), ('generalized', 0.5, 0.3), ('adaptive', 0.5, 0.07)) def test_supported_loss(self, metric_type, output, expected_score): loss = segmentation_losses.SegmentationLossDiceScore( metric_type=metric_type) logits = tf.constant(output, shape=[1, 128, 128, 128, 1], dtype=tf.float32) labels = tf.ones(shape=[1, 128, 128, 128, 1], dtype=tf.float32) actual_score = loss(logits=logits, labels=labels) self.assertAlmostEqual(actual_score.numpy(), expected_score, places=1) if __name__ == '__main__': tf.test.main() ======= # Copyright 2021 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Tests for segmentation_losses.py.""" from absl.testing import parameterized import tensorflow as tf from official.vision.beta.projects.volumetric_models.losses import segmentation_losses class SegmentationLossDiceScoreTest(parameterized.TestCase, tf.test.TestCase): @parameterized.parameters((None, 0.5, 0.3), ('generalized', 0.5, 0.3), ('adaptive', 0.5, 0.07)) def test_supported_loss(self, metric_type, output, expected_score): loss = segmentation_losses.SegmentationLossDiceScore( metric_type=metric_type) logits = tf.constant(output, shape=[2, 128, 128, 128, 1], dtype=tf.float32) labels = tf.ones(shape=[2, 128, 128, 128, 1], dtype=tf.float32) actual_score = loss(logits=logits, labels=labels) self.assertAlmostEqual(actual_score.numpy(), expected_score, places=1) @parameterized.parameters((None, 0, 0), ('generalized', 0, 0), ('adaptive', 0, 0)) def test_supported_loss_zero_labels_logits(self, metric_type, output, expected_score): loss = segmentation_losses.SegmentationLossDiceScore( metric_type=metric_type) logits = tf.constant(output, shape=[2, 128, 128, 128, 1], dtype=tf.float32) labels = tf.zeros(shape=[2, 128, 128, 128, 1], dtype=tf.float32) actual_score = loss(logits=logits, labels=labels) self.assertAlmostEqual(actual_score.numpy(), expected_score, places=1) if __name__ == '__main__': tf.test.main() >>>>>>> 0650ea24129892fb026a27b37028b500fb9383fa

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null

0

1

0

8

89e54ee69b4064550fbd7562391336ba2a0d2bfd

46,560

py

Python

src/dataops/tests/test_views.py

Lukahm/ontask

f16bdaa06ea450ee56d4581340e611b1076bed16

[ "MIT" ]

3

2018-08-24T10:48:40.000Z

2020-05-29T06:33:23.000Z

src/dataops/tests/test_views.py

Lukahm/ontask

f16bdaa06ea450ee56d4581340e611b1076bed16

[ "MIT" ]

null

src/dataops/tests/test_views.py

Lukahm/ontask

f16bdaa06ea450ee56d4581340e611b1076bed16

[ "MIT" ]

null

# -*- coding: utf-8 -*- from __future__ import unicode_literals, print_function import os from django.conf import settings from django.shortcuts import reverse from django.utils.html import escape from selenium.webdriver.common.by import By from selenium.webdriver.support import expected_conditions as EC from selenium.webdriver.support.select import Select from selenium.webdriver.support.ui import WebDriverWait import test from dataops import pandas_db from workflow.models import Workflow class DataopsSymbols(test.OntaskLiveTestCase): fixtures = ['wflow_symbols'] filename = os.path.join( settings.BASE_DIR(), 'dataops', 'fixtures', 'wflow_symbols_df.sql' ) def setUp(self): super(DataopsSymbols, self).setUp() pandas_db.pg_restore_table(self.filename) def tearDown(self): pandas_db.delete_all_tables() super(DataopsSymbols, self).tearDown() def test_01_symbols(self): symbols = '!#$%&()*+,-./:;<=>?@[\]^_`{|}~' # Login self.login('instructor1@bogus.com') self.open(reverse('workflow:index')) # GO TO THE WORKFLOW PAGE WebDriverWait(self.selenium, 10).until( EC.title_is('OnTask :: Workflows')) self.assertIn('New workflow', self.selenium.page_source) self.assertIn('Import workflow', self.selenium.page_source) # Open the workflow wf_link = self.selenium.find_element_by_link_text('sss') wf_link.click() # Wait for the table to be refreshed WebDriverWait(self.selenium, 10).until( EC.presence_of_element_located((By.ID, 'column-table_previous')) ) # Edit the name column self.selenium.find_element_by_xpath( "//table[@id='column-table']/tbody/tr[4]/td[5]/div/button" ).click() self.selenium.find_element_by_xpath( "//table[@id='column-table']/tbody/tr[4]/td[5]/div/ul/li[1]/button" ).click() WebDriverWait(self.selenium, 10).until( EC.visibility_of_element_located((By.ID, 'id_name')) ) # Replace name by symbols self.selenium.find_element_by_id("id_name").click() self.selenium.find_element_by_id("id_name").clear() self.selenium.find_element_by_id("id_name").send_keys(symbols) # Click in the submit/save button self.selenium.find_element_by_xpath("//button[@type='submit']").click() # MODAL WAITING WebDriverWait(self.selenium, 10).until_not( EC.presence_of_element_located( (By.CLASS_NAME, 'modal-open') ) ) # Wait for the table to be refreshed WebDriverWait(self.selenium, 10).until( EC.presence_of_element_located((By.ID, 'column-table_previous')) ) # Click in the New Column button self.selenium.find_element_by_class_name( 'js-workflow-column-add' ).click() WebDriverWait(self.selenium, 10).until( EC.text_to_be_present_in_element( (By.XPATH, "//div[@id='modal-item']/div/div/form/div/h4"), 'Add column') ) # Set name to symbols (new column) and type to string self.selenium.find_element_by_id("id_name").click() self.selenium.find_element_by_id("id_name").clear() self.selenium.find_element_by_id("id_name").send_keys(symbols) self.selenium.find_element_by_id("id_data_type").click() Select(self.selenium.find_element_by_id( "id_data_type" )).select_by_visible_text("string") # Save the new column self.selenium.find_element_by_xpath("//button[@type='submit']").click() WebDriverWait(self.selenium, 10).until( EC.presence_of_element_located((By.ID, 'error_1_id_name'))) # There should be a message saying that the name of this column already # exists self.assertIn('There is a column already with this name', self.selenium.page_source) # Click again in the name and introduce something different self.selenium.find_element_by_id("id_name").click() self.selenium.find_element_by_id("id_name").clear() self.selenium.find_element_by_id("id_name").send_keys(symbols + '2') # Save the new column self.selenium.find_element_by_xpath("//button[@type='submit']").click() self.wait_close_modal_refresh_table('column-table_previous') # Click in the attributes section self.selenium.find_element_by_xpath( "//div[@id='workflow-area']/div/button[3]" ).click() self.selenium.find_element_by_link_text('Attributes').click() WebDriverWait(self.selenium, 10).until( EC.element_to_be_clickable((By.CLASS_NAME, 'js-attribute-create')) ) # Delete the existing one and confirm deletion self.selenium.find_element_by_xpath( "//table[@id='attribute-table']/tbody/tr/td[3]/button[2]" ).click() # Wait for the delete confirmation frame WebDriverWait(self.selenium, 10).until( EC.text_to_be_present_in_element((By.CLASS_NAME, 'modal-title'), 'Confirm attribute deletion') ) # Click in the delete confirm button self.selenium.find_element_by_xpath( "//div[@class='modal-footer']/button[2]" ).click() # MODAL WAITING WebDriverWait(self.selenium, 10).until_not( EC.presence_of_element_located( (By.CLASS_NAME, 'modal-open') ) ) # Wait for the table to be refreshed WebDriverWait(self.selenium, 10).until( EC.presence_of_element_located((By.ID, 'attribute-table_previous')) ) # Add a new attribute and insert key (symbols) and value self.selenium.find_element_by_xpath( "(//button[@type='button'])[2]").click() WebDriverWait(self.selenium, 10).until( EC.text_to_be_present_in_element( (By.XPATH, "//div[@id='modal-item']/div/div/form/div/h4"), 'Create attribute') ) # Add key and value self.selenium.find_element_by_id("id_key").click() self.selenium.find_element_by_id("id_key").clear() self.selenium.find_element_by_id("id_key").send_keys(symbols + '3') self.selenium.find_element_by_id("id_value").click() self.selenium.find_element_by_id("id_value").clear() self.selenium.find_element_by_id("id_value").send_keys("vvv") # Submit new attribute self.selenium.find_element_by_xpath( "//div[@class='modal-footer']/button[2]" ).click() # MODAL WAITING self.wait_close_modal_refresh_table('attribute-table_previous') # Save and close the attribute page self.selenium.find_element_by_link_text('Back').click() # Wait for the details page self.wait_close_modal_refresh_table('column-table_previous') # Click in the TABLE link self.selenium.find_element_by_link_text("Table").click() # Wait for paging widget WebDriverWait(self.selenium, 10).until( EC.presence_of_element_located((By.ID, 'table-data_previous')) ) # Verify that everything appears normally self.assertIn(escape(symbols), self.selenium.page_source) self.assertIn(escape(symbols + '2'), self.selenium.page_source) # Click in the Actions navigation menu self.selenium.find_element_by_link_text("Actions").click() # Edit the action-in self.selenium.find_element_by_link_text("Edit").click() # Set the right columns to process select = Select(self.selenium.find_element_by_id( 'select-column-name')) select.select_by_visible_text('!#$%&()*+,-./:;<=>?@[\]^_`{|}~2') WebDriverWait(self.selenium, 10).until( EC.presence_of_element_located( (By.ID, 'column-selected-table_previous')) ) select = Select(self.selenium.find_element_by_id( 'select-key-column-name')) select.select_by_visible_text('sid') WebDriverWait(self.selenium, 10).until( EC.presence_of_element_located( (By.ID, 'column-selected-table_previous')) ) select = Select(self.selenium.find_element_by_id( 'select-key-column-name')) select.select_by_visible_text('email') WebDriverWait(self.selenium, 10).until( EC.presence_of_element_located( (By.ID, 'column-selected-table_previous')) ) # Save action-in self.selenium.find_element_by_link_text('Done').click() # Wait for paging widget WebDriverWait(self.selenium, 10).until( EC.presence_of_element_located((By.ID, 'action-table_previous')) ) # Click in the RUN link of the action in self.selenium.find_element_by_link_text("Run").click() # Wait for paging widget WebDriverWait(self.selenium, 10).until( EC.presence_of_element_located((By.ID, 'actioninrun-data_previous')) ) # Enter data using the RUN menu. Select one entry to populate self.selenium.find_element_by_link_text("student1@bogus.com").click() self.selenium.find_element_by_id("id____ontask___select_2").click() self.selenium.find_element_by_id("id____ontask___select_2").clear() self.selenium.find_element_by_id("id____ontask___select_2").send_keys( "Carmelo Coton2") self.selenium.find_element_by_id("id____ontask___select_3").click() self.selenium.find_element_by_id("id____ontask___select_3").clear() self.selenium.find_element_by_id("id____ontask___select_3").send_keys( "xxx" ) # Submit the data for one entry self.selenium.find_element_by_xpath( "//body/div[4]/div/form/button[1]/span").click() # Wait for paging widget WebDriverWait(self.selenium, 10).until( EC.presence_of_element_located((By.ID, 'actioninrun-data_previous')) ) # Go Back to the action table self.selenium.find_element_by_xpath( "(//button[@type='button'])[2]").click() # Wait for paging widget WebDriverWait(self.selenium, 10).until( EC.presence_of_element_located((By.ID, 'action-table_previous')) ) # Edit the action out self.selenium.find_element_by_xpath( "//table[@id='action-table']/tbody/tr[2]/td[5]/div/a").click() # Insert attribute self.selenium.find_element_by_id("select-attribute-name").click() Select(self.selenium.find_element_by_id( "select-attribute-name")).select_by_visible_text("- Attribute -") # Insert column name self.selenium.find_element_by_id("select-column-name").click() Select(self.selenium.find_element_by_id( "select-column-name")).select_by_visible_text(symbols) # Insert second column name self.selenium.find_element_by_id("select-column-name").click() Select(self.selenium.find_element_by_id( "select-column-name")).select_by_visible_text(symbols + '2') # Create new condition self.selenium.find_element_by_xpath( "(//button[@type='button'])[3]").click() WebDriverWait(self.selenium, 10).until( EC.presence_of_element_located((By.ID, 'id_description_text'))) # Set the values of the condition self.selenium.find_element_by_id("id_name").click() self.selenium.find_element_by_id("id_name").clear() self.selenium.find_element_by_id("id_name").send_keys(symbols + "4") self.selenium.find_element_by_id("id_description_text").click() self.selenium.find_element_by_name("builder_rule_0_filter").click() Select(self.selenium.find_element_by_name( "builder_rule_0_filter")).select_by_visible_text(symbols) self.selenium.find_element_by_name("builder_rule_0_operator").click() Select(self.selenium.find_element_by_name( "builder_rule_0_operator")).select_by_visible_text( "begins with") self.selenium.find_element_by_name("builder_rule_0_value_0").click() self.selenium.find_element_by_name("builder_rule_0_value_0").clear() self.selenium.find_element_by_name("builder_rule_0_value_0").send_keys( "C") # Save the condition self.selenium.find_element_by_xpath( "(//button[@type='submit'])[2]").click() self.wait_close_modal_refresh_table('html-editor') # Create a filter self.selenium.find_element_by_xpath( "(//button[@type='button'])[2]").click() WebDriverWait(self.selenium, 10).until( EC.presence_of_element_located((By.ID, 'id_description_text'))) # Fill in the details self.selenium.find_element_by_id("id_name").click() self.selenium.find_element_by_id("id_name").clear() self.selenium.find_element_by_id("id_name").send_keys(symbols) self.selenium.find_element_by_name("builder_rule_0_filter").click() Select(self.selenium.find_element_by_name( "builder_rule_0_filter")).select_by_visible_text(symbols + "2") self.selenium.find_element_by_name("builder_rule_0_operator").click() Select(self.selenium.find_element_by_name( "builder_rule_0_operator")).select_by_visible_text( "doesn't begin with") self.selenium.find_element_by_name("builder_rule_0_value_0").click() self.selenium.find_element_by_name("builder_rule_0_value_0").clear() self.selenium.find_element_by_name("builder_rule_0_value_0").send_keys( "x") # Save the filter self.selenium.find_element_by_xpath( "(//button[@type='submit'])[2]").click() WebDriverWait(self.selenium, 10).until_not( EC.presence_of_element_located( (By.CLASS_NAME, 'modal-open') ) ) # Wait for page to reload WebDriverWait(self.selenium, 10).until( EC.element_to_be_clickable( (By.XPATH, "//h4[@id='filter-set']/div/button") ) ) # Click the preview button self.selenium.find_element_by_xpath( "//div[@id='html-editor']/form/div[3]/button").click() WebDriverWait(self.selenium, 10).until( EC.element_to_be_clickable((By.CLASS_NAME, 'js-action-preview-nxt')) ) # Certain name should be in the page now. self.assertIn('Carmelo Coton', self.selenium.page_source) # Click in the "Close" button self.selenium.find_element_by_xpath( "//div[@id='modal-item']/div/div/div/div[2]/button[2]").click() # End of session self.logout() def test_02_symbols(self): symbols = '!#$%&()*+,-./:;<=>?@[\]^_`{|}~' # Login self.login('instructor1@bogus.com') self.open(reverse('workflow:index')) # GO TO THE WORKFLOW PAGE WebDriverWait(self.selenium, 10).until( EC.title_is('OnTask :: Workflows')) self.assertIn('New workflow', self.selenium.page_source) self.assertIn('Import workflow', self.selenium.page_source) # Open the workflow wf_link = self.selenium.find_element_by_link_text('sss') wf_link.click() WebDriverWait(self.selenium, 10).until( EC.presence_of_element_located((By.ID, 'column-table_previous')) ) # Select the email column and click in the edit button self.selenium.find_element_by_xpath( "//table[@id='column-table']/tbody/tr[3]/td[5]/div/button" ).click() self.selenium.find_element_by_xpath( "//table[@id='column-table']/tbody/tr[3]/td[5]/div/ul/li[1]/button" ).click() # Wait for the form to create the derived column WebDriverWait(self.selenium, 10).until( EC.text_to_be_present_in_element( (By.XPATH, "//div[@id='modal-item']/div/div/form/div/h4"), 'Edit column') ) # Append symbols to the name self.selenium.find_element_by_id("id_name").click() self.selenium.find_element_by_id("id_name").send_keys(symbols) # Save column information self.selenium.find_element_by_xpath("//button[@type='submit']").click() self.wait_close_modal_refresh_table('column-table_previous') # Select the age column and click in the edit button self.selenium.find_element_by_xpath( "//table[@id='column-table']/tbody/tr[4]/td[5]/div/button" ).click() self.selenium.find_element_by_xpath( "//table[@id='column-table']/tbody/tr[4]/td[5]/div/ul/li[1]/button" ).click() # Wait for the modal to open WebDriverWait(self.selenium, 10).until( EC.text_to_be_present_in_element( (By.XPATH, "//div[@id='modal-item']/div/div/form/div/h4"), 'Edit column') ) # Append symbols to the name self.selenium.find_element_by_id("id_name").click() self.selenium.find_element_by_id("id_name").send_keys(symbols) # Save column information self.selenium.find_element_by_xpath("//button[@type='submit']").click() self.wait_close_modal_refresh_table('column-table_previous') # Go to the table link self.selenium.find_element_by_link_text("Table").click() WebDriverWait(self.selenium, 10).until( EC.presence_of_element_located((By.ID, 'table-data_previous')) ) # Verify that everything appears normally self.assertIn(escape(symbols), self.selenium.page_source) self.assertIn('<td class=" dt-center">12</td>', self.selenium.page_source) self.assertIn('<td class=" dt-center">12.1</td>', self.selenium.page_source) self.assertIn('<td class=" dt-center">13.2</td>', self.selenium.page_source) # Go to the actions page self.selenium.find_element_by_link_text("Actions").click() WebDriverWait(self.selenium, 10).until( EC.presence_of_element_located((By.ID, 'action-table_previous')) ) # Edit the action-in at the top of the table self.selenium.find_element_by_link_text("Edit").click() # Set the correct values for an action-in # Set the right columns to process select = Select(self.selenium.find_element_by_id( 'select-key-column-name')) select.select_by_visible_text('email') WebDriverWait(self.selenium, 10).until( EC.element_to_be_clickable((By.CLASS_NAME, 'js-workflow-column-edit')) ) # Done editing the action in self.selenium.find_element_by_link_text('Done').click() # Wait for paging widget WebDriverWait(self.selenium, 10).until( EC.presence_of_element_located((By.ID, 'action-table_previous')) ) # Click in the run link self.selenium.find_element_by_link_text("Run").click() # Wait for paging widget WebDriverWait(self.selenium, 10).until( EC.presence_of_element_located((By.ID, 'actioninrun-data_previous')) ) # Click on the first value self.selenium.find_element_by_link_text("student1@bogus.com").click() # Modify the value of the column self.selenium.find_element_by_id("id____ontask___select_1").click() self.selenium.find_element_by_id("id____ontask___select_1").clear() self.selenium.find_element_by_id("id____ontask___select_1").send_keys( "14" ) # Submit changes to the first element self.selenium.find_element_by_xpath( "(//button[@name='submit'])[1]" ).click() WebDriverWait(self.selenium, 10).until( EC.presence_of_element_located((By.ID, 'actioninrun-data_previous')) ) # Click on the second value self.selenium.find_element_by_link_text("student2@bogus.com").click() # Modify the value of the column self.selenium.find_element_by_id("id____ontask___select_1").clear() self.selenium.find_element_by_id( "id____ontask___select_1" ).send_keys("15") # Submit changes to the second element self.selenium.find_element_by_xpath( "(//button[@name='submit'])[1]" ).click() WebDriverWait(self.selenium, 10).until( EC.presence_of_element_located((By.ID, 'actioninrun-data_previous')) ) # Click on the third value self.selenium.find_element_by_link_text("student3@bogus.com").click() # Modify the value of the column self.selenium.find_element_by_id("id____ontask___select_1").click() self.selenium.find_element_by_id("id____ontask___select_1").clear() self.selenium.find_element_by_id( "id____ontask___select_1" ).send_keys("16") # Submit changes to the second element self.selenium.find_element_by_xpath( "(//button[@name='submit'])[1]" ).click() WebDriverWait(self.selenium, 10).until( EC.presence_of_element_located((By.ID, 'actioninrun-data_previous')) ) # Click in the back link! self.selenium.find_element_by_xpath( "(//button[@type='button'])[2]" ).click() # Wait for page to refresh WebDriverWait(self.selenium, 10).until( EC.presence_of_element_located((By.ID, 'action-table_previous')) ) # Go to the table page self.selenium.find_element_by_link_text("Table").click() # Wait for paging widget WebDriverWait(self.selenium, 10).until( EC.presence_of_element_located((By.ID, 'table-data_previous')) ) # Assert the new values self.assertIn('<td class=" dt-center">14</td>', self.selenium.page_source) self.assertIn('<td class=" dt-center">15</td>', self.selenium.page_source) self.assertIn('<td class=" dt-center">16</td>', self.selenium.page_source) # End of session self.logout() class DataopsExcelUpload(test.OntaskLiveTestCase): fixtures = ['empty_wflow'] def tearDown(self): pandas_db.delete_all_tables() super(DataopsExcelUpload, self).tearDown() def test_01_excelupload(self): # Login self.login('instructor1@bogus.com') self.open(reverse('workflow:index')) # GO TO THE WORKFLOW PAGE WebDriverWait(self.selenium, 10).until( EC.title_is('OnTask :: Workflows')) self.assertIn('New workflow', self.selenium.page_source) self.assertIn('Import workflow', self.selenium.page_source) # Open the workflow wf_link = self.selenium.find_element_by_link_text('wflow1') wf_link.click() self.selenium.find_element_by_link_text("Dataops").click() self.selenium.find_element_by_link_text("Data Upload/Merge").click() WebDriverWait(self.selenium, 10).until( EC.title_is('OnTask :: Data Upload/Merge') ) self.selenium.find_element_by_link_text("Excel Upload/Merge").click() self.selenium.find_element_by_id("id_file").send_keys( os.path.join(settings.BASE_DIR(), 'dataops', 'fixtures', 'excel_upload.xlsx') ) self.selenium.find_element_by_id("id_sheet").click() self.selenium.find_element_by_id("id_sheet").clear() self.selenium.find_element_by_id("id_sheet").send_keys("results") self.selenium.find_element_by_name("Submit").click() WebDriverWait(self.selenium, 10).until( EC.element_to_be_clickable( (By.ID, 'checkAll')) ) self.selenium.find_element_by_name("Submit").click() WebDriverWait(self.selenium, 10).until( EC.title_is('OnTask :: Details') ) # The number of rows must be 29 wflow = Workflow.objects.all()[0] self.assertEqual(wflow.nrows, 29) self.assertEqual(wflow.ncols, 14) # End of session self.logout() class DataopsExcelUploadSheet(test.OntaskLiveTestCase): fixtures = ['empty_wflow'] def tearDown(self): pandas_db.delete_all_tables() super(DataopsExcelUploadSheet, self).tearDown() def test_01_excelupload_sheet(self): # Login self.login('instructor1@bogus.com') self.open(reverse('workflow:index')) # GO TO THE WORKFLOW PAGE WebDriverWait(self.selenium, 10).until( EC.title_is('OnTask :: Workflows')) self.assertIn('New workflow', self.selenium.page_source) self.assertIn('Import workflow', self.selenium.page_source) # Open the workflow wf_link = self.selenium.find_element_by_link_text('wflow1') wf_link.click() self.selenium.find_element_by_link_text("Dataops").click() self.selenium.find_element_by_link_text("Data Upload/Merge").click() WebDriverWait(self.selenium, 10).until( EC.title_is('OnTask :: Data Upload/Merge') ) self.selenium.find_element_by_link_text("Excel Upload/Merge").click() self.selenium.find_element_by_id("id_file").send_keys( os.path.join(settings.BASE_DIR(), 'dataops', 'fixtures', 'excel_upload.xlsx') ) self.selenium.find_element_by_id("id_sheet").click() self.selenium.find_element_by_id("id_sheet").clear() self.selenium.find_element_by_id("id_sheet").send_keys("second sheet") self.selenium.find_element_by_name("Submit").click() WebDriverWait(self.selenium, 10).until( EC.element_to_be_clickable( (By.ID, 'checkAll')) ) self.selenium.find_element_by_name("Submit").click() WebDriverWait(self.selenium, 10).until( EC.title_is('OnTask :: Details') ) # The number of rows must be 19 wflow = Workflow.objects.all()[0] self.assertEqual(wflow.nrows, 19) self.assertEqual(wflow.ncols, 14) # End of session self.logout() class DataopsNaNProcessing(test.OntaskLiveTestCase): fixtures = ['empty_wflow'] action_text = "Bool1 = {{ bool1 }}\\n" + \ "Bool2 = {{ bool2 }}\\n" + \ "Bool3 = {{ bool3 }}\\n" + \ "{% if bool1 cond %}Bool 1 is true{% endif %}\\n" + \ "{% if bool2 cond %}Bool 2 is true{% endif %}\\n" + \ "{% if bool3 cond %}Bool 3 is true{% endif %}\\n" def tearDown(self): pandas_db.delete_all_tables() super(DataopsNaNProcessing, self).tearDown() def test_01_nan_manipulation(self): # Login self.login('instructor1@bogus.com') self.open(reverse('workflow:index')) # Create new workflow self.selenium.find_element_by_xpath( "(//button[@type='button'])[2]").click() WebDriverWait(self.selenium, 10).until( EC.presence_of_element_located((By.ID, 'id_name')) ) # Insert name and click create self.selenium.find_element_by_id("id_name").click() self.selenium.find_element_by_id("id_name").clear() self.selenium.find_element_by_id("id_name").send_keys("NaN") self.selenium.find_element_by_xpath("//button[@type='submit']").click() # Wait for details page WebDriverWait(self.selenium, 20).until( EC.title_is('OnTask :: Details') ) # Open the Dataops page self.selenium.find_element_by_link_text("Dataops").click() self.selenium.find_element_by_link_text("Data Upload/Merge").click() WebDriverWait(self.selenium, 10).until( EC.title_is('OnTask :: Data Upload/Merge') ) # Start the upload process: Select upload self.selenium.find_element_by_link_text("CSV Upload/Merge").click() # Select file and upload self.selenium.find_element_by_id("id_file").send_keys( os.path.join(settings.BASE_DIR(), 'dataops', 'fixtures', 'test_df_merge_update_df1.csv') ) self.selenium.find_element_by_name("Submit").click() WebDriverWait(self.selenium, 10).until( EC.text_to_be_present_in_element((By.CLASS_NAME, 'page-header'), 'Step 2: Select Columns') ) # Submit self.selenium.find_element_by_xpath( "(//button[@name='Submit'])[2]" ).click() # Wait for the upload/merge WebDriverWait(self.selenium, 20).until( EC.title_is('OnTask :: Details') ) # Select again the upload/merge function self.selenium.find_element_by_link_text("Dataops").click() self.selenium.find_element_by_link_text("Data Upload/Merge").click() WebDriverWait(self.selenium, 10).until( EC.title_is('OnTask :: Data Upload/Merge') ) self.selenium.find_element_by_link_text("CSV Upload/Merge").click() # Select the second file and submit self.selenium.find_element_by_id("id_file").send_keys( os.path.join(settings.BASE_DIR(), 'dataops', 'fixtures', 'test_df_merge_update_df2.csv') ) self.selenium.find_element_by_name("Submit").click() WebDriverWait(self.selenium, 10).until( EC.text_to_be_present_in_element((By.CLASS_NAME, 'page-header'), 'Step 2: Select Columns') ) # Select all the columns for upload self.selenium.find_element_by_name("Submit").click() # Wait for the upload/merge WebDriverWait(self.selenium, 10).until( EC.text_to_be_present_in_element( (By.CLASS_NAME, 'page-header'), 'Step 3: Select Keys and Merge Option') ) # Choose the default options for the merge (key and outer) # Select the merger function type select = Select(self.selenium.find_element_by_id('id_how_merge')) select.select_by_value('outer') self.selenium.find_element_by_name("Submit").click() WebDriverWait(self.selenium, 10).until( EC.text_to_be_present_in_element( (By.CLASS_NAME, 'page-header'), 'Step 4: Review and confirm') ) # Check the merge summary and proceed self.selenium.find_element_by_name("Submit").click() # Wait for the upload/merge to finish WebDriverWait(self.selenium, 10).until( EC.text_to_be_present_in_element((By.CLASS_NAME, 'page-header'), 'Workflow Details') ) WebDriverWait(self.selenium, 10).until( EC.presence_of_element_located((By.CLASS_NAME, 'success')) ) # Go to the actions page self.selenium.find_element_by_link_text("Actions").click() # Create a new action self.selenium.find_element_by_xpath( "(//button[@type='button'])[3]" ).click() WebDriverWait(self.selenium, 10).until( EC.presence_of_element_located((By.ID, 'id_name')) ) # Type action name and click complete to edit self.selenium.find_element_by_id("id_name").click() self.selenium.find_element_by_id("id_name").clear() self.selenium.find_element_by_id("id_name").send_keys("action out") self.selenium.find_element_by_xpath("//button[@type='submit']").click() WebDriverWait(self.selenium, 10).until( EC.element_to_be_clickable( (By.XPATH, "//h4[@id='filter-set']/div/button") ) ) # Create the first condition. self.selenium.find_element_by_xpath( "(//button[@type='button'])[3]" ).click() # Wait for the form to appear WebDriverWait(self.selenium, 10).until( EC.text_to_be_present_in_element( (By.XPATH, "//div[@id='modal-item']/div/div/form/div/h4"), 'Create condition') ) # Add name and condition self.selenium.find_element_by_id("id_name").click() self.selenium.find_element_by_id("id_name").clear() self.selenium.find_element_by_id("id_name").send_keys("bool1 cond") self.selenium.find_element_by_name("builder_rule_0_filter").click() Select(self.selenium.find_element_by_name( "builder_rule_0_filter")).select_by_visible_text("bool1") # Wait for the select elements to be clickable WebDriverWait(self.selenium, 10).until( EC.element_to_be_clickable( (By.XPATH, "//input[@name='builder_rule_0_value_0']") ) ) self.selenium.find_element_by_xpath( "(//input[@name='builder_rule_0_value_0'])[2]").click() self.selenium.find_element_by_xpath( "(//button[@type='submit'])[2]" ).click() # MODAL WAITING WebDriverWait(self.selenium, 10).until_not( EC.presence_of_element_located( (By.CLASS_NAME, 'modal-open') ) ) # Wait for page to refresh WebDriverWait(self.selenium, 10).until( EC.element_to_be_clickable( (By.CLASS_NAME, 'js-condition-edit') ) ) # Create the second condition self.selenium.find_element_by_xpath( "(//button[@type='button'])[3]" ).click() # Wait for the form to appear WebDriverWait(self.selenium, 10).until( EC.text_to_be_present_in_element( (By.XPATH, "//div[@id='modal-item']/div/div/form/div/h4"), 'Create condition') ) # Add name and condition self.selenium.find_element_by_id("id_name").click() self.selenium.find_element_by_id("id_name").clear() self.selenium.find_element_by_id("id_name").send_keys("bool2 cond") self.selenium.find_element_by_name("builder_rule_0_filter").click() Select(self.selenium.find_element_by_name( "builder_rule_0_filter")).select_by_visible_text("bool2") # Wait for the select elements to be clickable WebDriverWait(self.selenium, 10).until( EC.element_to_be_clickable( (By.XPATH, "//input[@name='builder_rule_0_value_0']") ) ) self.selenium.find_element_by_xpath( "(//input[@name='builder_rule_0_value_0'])[2]").click() self.selenium.find_element_by_xpath( "(//button[@type='submit'])[2]" ).click() # MODAL WAITING WebDriverWait(self.selenium, 10).until_not( EC.presence_of_element_located( (By.CLASS_NAME, 'modal-open') ) ) # Wait for page to refresh WebDriverWait(self.selenium, 10).until( EC.element_to_be_clickable( (By.CLASS_NAME, 'js-condition-edit') ) ) # Create the third condition self.selenium.find_element_by_xpath( "(//button[@type='button'])[3]" ).click() # Wait for the form to appear WebDriverWait(self.selenium, 10).until( EC.text_to_be_present_in_element( (By.XPATH, "//div[@id='modal-item']/div/div/form/div/h4"), 'Create condition') ) # Add name and condition self.selenium.find_element_by_id("id_name").click() self.selenium.find_element_by_id("id_name").clear() self.selenium.find_element_by_id("id_name").send_keys("bool3 cond") self.selenium.find_element_by_name("builder_rule_0_filter").click() Select(self.selenium.find_element_by_name( "builder_rule_0_filter")).select_by_visible_text("bool3") # Wait for the select elements to be clickable WebDriverWait(self.selenium, 10).until( EC.element_to_be_clickable( (By.XPATH, "//input[@name='builder_rule_0_value_0']") ) ) self.selenium.find_element_by_xpath( "(//input[@name='builder_rule_0_value_0'])[2]").click() self.selenium.find_element_by_xpath( "(//button[@type='submit'])[2]").click() # MODAL WAITING WebDriverWait(self.selenium, 10).until_not( EC.presence_of_element_located( (By.CLASS_NAME, 'modal-open') ) ) # Wait for page to refresh WebDriverWait(self.selenium, 10).until( EC.element_to_be_clickable( (By.CLASS_NAME, 'js-condition-edit') ) ) # insert the action text self.selenium.execute_script( """$('#id_content').summernote('editor.insertText', "{0}");""".format(self.action_text) ) # Click in the preview and circle around the 12 rows self.selenium.find_element_by_xpath( "//button[contains(@class, 'js-action-preview')]").click() # Wait for the modal to appear WebDriverWait(self.selenium, 10).until( EC.text_to_be_present_in_element( (By.XPATH, "//div[@id='modal-item']/div/div/div/div/h4"), 'Action Preview 1') ) for x in range(11): self.selenium.find_element_by_xpath( "//div[@id='modal-item']/div/div/div/div[2]/button[3]/span" ).click() # End of session self.logout() class DataopsPluginExecution(test.OntaskLiveTestCase): fixtures = ['plugin_execution'] filename = os.path.join( settings.BASE_DIR(), 'dataops', 'fixtures', 'plugin_execution.sql' ) def setUp(self): super(DataopsPluginExecution, self).setUp() pandas_db.pg_restore_table(self.filename) def tearDown(self): pandas_db.delete_all_tables() super(DataopsPluginExecution, self).tearDown() def test_01_first_plugin(self): # Login self.login('instructor1@bogus.com') self.open(reverse('workflow:index')) # GO TO THE WORKFLOW PAGE WebDriverWait(self.selenium, 10).until( EC.title_is('OnTask :: Workflows')) self.assertIn('New workflow', self.selenium.page_source) self.assertIn('Import workflow', self.selenium.page_source) # Open the workflow wf_link = self.selenium.find_element_by_link_text('Plugin test') wf_link.click() WebDriverWait(self.selenium, 10).until( EC.presence_of_element_located((By.ID, 'column-table_previous')) ) # Open the transform page self.selenium.find_element_by_link_text("Dataops").click() self.selenium.find_element_by_link_text("Transform").click() WebDriverWait(self.selenium, 10).until( EC.presence_of_element_located((By.ID, 'transform-table_previous')) ) # Click in the first plugin self.selenium.find_element_by_link_text("Run").click() WebDriverWait(self.selenium, 10).until( EC.presence_of_element_located((By.NAME, 'csrfmiddlewaretoken')) ) # Provide the execution data self.selenium.find_element_by_xpath("//input[@type='text']").click() self.selenium.find_element_by_name("columns").click() self.selenium.find_element_by_xpath( "(//input[@name='columns'])[2]" ).click() # Click outside the SOL widget self.selenium.find_element_by_class_name( 'sol-current-selection' ).click() self.selenium.find_element_by_id("id_merge_key").click() Select(self.selenium.find_element_by_id( "id_merge_key" )).select_by_visible_text("email") # Submit the execution self.selenium.find_element_by_name("Submit").click() WebDriverWait(self.selenium, 10).until( EC.presence_of_element_located((By.ID, 'plugin-execution-report')) ) # Done. Click continue. self.selenium.find_element_by_xpath( "(//button[@type='button'])[2]" ).click() WebDriverWait(self.selenium, 10).until( EC.presence_of_element_located((By.ID, 'column-table_previous')) ) # Assert the content of the dataframe wflow = Workflow.objects.get(name='Plugin test') df = pandas_db.load_from_db(wflow.id) self.assertTrue('RESULT 1' in set(df.columns)) self.assertTrue('RESULT 2' in set(df.columns)) self.assertTrue(all([x == 1 for x in df['RESULT 1']])) self.assertTrue(all([x == 2 for x in df['RESULT 2']])) # Second execution, this time adding a suffix to the column # Open the transform page self.selenium.find_element_by_link_text("Dataops").click() self.selenium.find_element_by_link_text("Transform").click() WebDriverWait(self.selenium, 10).until( EC.presence_of_element_located((By.ID, 'transform-table_previous')) ) # Click in the first plugin self.selenium.find_element_by_link_text("Run").click() WebDriverWait(self.selenium, 10).until( EC.presence_of_element_located((By.NAME, 'csrfmiddlewaretoken')) ) # Provide the execution data self.selenium.find_element_by_xpath("//input[@type='text']").click() self.selenium.find_element_by_name("columns").click() self.selenium.find_element_by_xpath( "(//input[@name='columns'])[2]" ).click() # Click outside the SOL widget self.selenium.find_element_by_class_name( 'sol-current-selection' ).click() self.selenium.find_element_by_id("id_merge_key").click() Select(self.selenium.find_element_by_id( "id_merge_key" )).select_by_visible_text("email") # Put the suffix _2 self.selenium.find_element_by_id("id_out_column_suffix").click() self.selenium.find_element_by_id("id_out_column_suffix").clear() self.selenium.find_element_by_id("id_out_column_suffix").send_keys("_2") # Submit the execution self.selenium.find_element_by_name("Submit").click() WebDriverWait(self.selenium, 10).until( EC.presence_of_element_located((By.ID, 'plugin-execution-report')) ) # Done. Click continue. self.selenium.find_element_by_xpath( "(//button[@type='button'])[2]" ).click() WebDriverWait(self.selenium, 10).until( EC.presence_of_element_located((By.ID, 'column-table_previous')) ) # Assert the content of the dataframe wflow = Workflow.objects.get(name='Plugin test') df = pandas_db.load_from_db(wflow.id) self.assertTrue('RESULT 1_2' in set(df.columns)) self.assertTrue('RESULT 2_2' in set(df.columns)) self.assertTrue(all([x == 1 for x in df['RESULT 1_2']])) self.assertTrue(all([x == 2 for x in df['RESULT 2_2']])) # End of session self.logout() def test_02_second_plugin(self): # Login self.login('instructor1@bogus.com') self.open(reverse('workflow:index')) # GO TO THE WORKFLOW PAGE WebDriverWait(self.selenium, 10).until( EC.title_is('OnTask :: Workflows')) self.assertIn('New workflow', self.selenium.page_source) self.assertIn('Import workflow', self.selenium.page_source) # Open the workflow wf_link = self.selenium.find_element_by_link_text('Plugin test') wf_link.click() WebDriverWait(self.selenium, 10).until( EC.presence_of_element_located((By.ID, 'column-table_previous')) ) # Open the transform page self.selenium.find_element_by_link_text("Dataops").click() self.selenium.find_element_by_link_text("Transform").click() WebDriverWait(self.selenium, 10).until( EC.presence_of_element_located((By.ID, 'transform-table_previous')) ) # Click in the second plugin self.selenium.find_element_by_xpath( "//table[@id='transform-table']/tbody/tr[2]/td[7]/div/a" ).click() WebDriverWait(self.selenium, 10).until( EC.presence_of_element_located((By.NAME, 'csrfmiddlewaretoken')) ) # Provide the execution data self.selenium.find_element_by_id("id_merge_key").click() Select(self.selenium.find_element_by_id( "id_merge_key" )).select_by_visible_text("email") # Submit the execution self.selenium.find_element_by_name("Submit").click() WebDriverWait(self.selenium, 10).until( EC.presence_of_element_located((By.ID, 'plugin-execution-report')) ) # Done. Click continue. self.selenium.find_element_by_xpath( "(//button[@type='button'])[2]" ).click() WebDriverWait(self.selenium, 10).until( EC.presence_of_element_located((By.ID, 'column-table_previous')) ) # Assert the content of the dataframe wflow = Workflow.objects.get(name='Plugin test') df = pandas_db.load_from_db(wflow.id) self.assertTrue('RESULT 3' in set(df.columns)) self.assertTrue('RESULT 4' in set(df.columns)) self.assertTrue(df['RESULT 3'].equals(df['A1'] + df['A2'])) self.assertTrue(df['RESULT 4'].equals(df['A1'] - df['A2'])) # End of session self.logout()

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0

null

0

1

0

null

0

7

d61423b02a0349218f2fd6cfe6434e4146b9fcd3

5,925

py

Python

test/test_edit_group.py

elaginm/python_training

b0d76d3eac93d90401b6b3a137d3dc9a8caa8a5f

[ "Apache-2.0" ]

null

test/test_edit_group.py

elaginm/python_training

b0d76d3eac93d90401b6b3a137d3dc9a8caa8a5f

[ "Apache-2.0" ]

null

test/test_edit_group.py

elaginm/python_training

b0d76d3eac93d90401b6b3a137d3dc9a8caa8a5f

[ "Apache-2.0" ]

null

from model.group import Group import random import pytest def test_edit_name(app, db, check_ui): with pytest.allure.step('Given a non-empty group list'): old_groups = db.get_group_list() group = Group(name="New group") if app.group.count() == 0: app.group.create(Group(name="Test group")) app.group.edit_first_group(group) app.group.delete_first_group() new_groups = db.get_group_list() assert len(old_groups) == len(new_groups) else: l = len(old_groups) random_group_index = random.randrange(l) group.id = old_groups[random_group_index].id with pytest.allure.step('I modify the group %s in the list' % group): app.group.edit_group_by_id(group.id, group) with pytest.allure.step('the new group list is equal to the old list with the modified group'): new_groups = db.get_group_list() assert len(old_groups) == len(new_groups) old_groups[random_group_index] = group assert sorted(old_groups, key=Group.id_or_max) == sorted(new_groups, key=Group.id_or_max) if check_ui: with pytest.allure.step('check UI'): assert sorted(new_groups, key=Group.id_or_max) == sorted(app.group.get_group_list(), key=Group.id_or_max) # random_group = random.choice(old_groups) # group.id = random_group.id # app.group.edit_group_by_id(group.id, group) # new_groups = db.get_group_list() # assert len(old_groups) == len(new_groups) # result = re.match('^[^:]*', str(random_group)) # id = result.group(0) # index_group = None # i = 0 # while index_group is None and i in range(len(old_groups)): # result_old_group = re.match('^[^:]*', str(old_groups[i])) # id_old_group = result_old_group.group(0) # if (int(id_old_group) == int(id)): # index_group = i # i+=1 def test_edit_empty_name(app, db, check_ui): with pytest.allure.step('Given a non-empty group list'): old_groups = db.get_group_list() group = Group(name="Test") if app.group.count() == 0: app.group.create(Group(name="")) app.group.edit_first_group(group) app.group.delete_first_group() new_groups = db.get_group_list() assert len(old_groups) == len(new_groups) else: l = len(old_groups) random_group_index = random.randrange(l) group.id = old_groups[random_group_index].id with pytest.allure.step('I modify the group with id=%s in the list' % group.id): if app.group.empty_name(group.id): app.open_home_page() else: app.group.edit_group_by_id(group.id, group) with pytest.allure.step('the new group list is equal to the old list with the modified group'): new_groups = db.get_group_list() assert len(old_groups) == len(new_groups) old_groups[random_group_index] = group assert sorted(old_groups, key=Group.id_or_max) == sorted(new_groups, key=Group.id_or_max) if check_ui: with pytest.allure.step('check UI'): assert sorted(new_groups, key=Group.id_or_max) == sorted(app.group.get_group_list(), key=Group.id_or_max) def test_edit_non_empty_name(app, db, check_ui): with pytest.allure.step('Given a non-empty group list'): old_groups = db.get_group_list() group = Group(name="") if app.group.count() == 0: app.group.create(Group(name="Users")) app.group.edit_first_group(group) app.group.delete_first_group() new_groups = db.get_group_list() assert len(old_groups) == len(new_groups) else: l = len(old_groups) random_group_index = random.randrange(l) group.id = old_groups[random_group_index].id with pytest.allure.step('I modify the group %s in the list' % group): if app.group.empty_name(group.id): app.group.edit_group_by_id(group.id, group) with pytest.allure.step('the new group list is equal to the old list with the modified group'): new_groups = db.get_group_list() assert len(old_groups) == len(new_groups) old_groups[random_group_index] = group assert sorted(old_groups, key=Group.id_or_max) == sorted(new_groups, key=Group.id_or_max) if check_ui: with pytest.allure.step('check UI'): assert sorted(new_groups, key=Group.id_or_max) == sorted(app.group.get_group_list(), key=Group.id_or_max) # тест с индексом # def test_edit_non_empty_name(app): # old_groups = app.group.get_group_list() # group = Group(name="") # if app.group.count() == 0: # app.group.create(Group(name="Users")) # app.group.edit_first_group(group) # app.group.delete_first_group() # new_groups = app.group.get_group_list() # assert len(old_groups) == len(new_groups) # else: # index = randrange(len(old_groups)) # if app.group.empty_name(index): # group.id = old_groups[index].id # app.group.edit_group_by_index(index, group) # assert len(old_groups) == app.group.count() # new_groups = app.group.get_group_list() # old_groups[index] = group # assert sorted(old_groups, key=Group.id_or_max) == sorted(new_groups, key=Group.id_or_max)

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133

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5,925

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0.088639

0.088588

0.059059

0.051676

0.851738

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0

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0.306329

5,925

121

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false

0

0.0375

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null

0

1

0

1

0

null

0

7

d6210edd53242f12fbb0b0534d1626cd7e8cb2bd

16,153

py

Python

transformers/transformer_models.py

TomMakkink/transformers-for-rl

9d025f92611e957004030af9ef05a07e320856a7

[ "MIT" ]

1

2022-03-09T20:44:27.000Z

transformers/transformer_models.py

TomMakkink/transformers-for-rl

9d025f92611e957004030af9ef05a07e320856a7

[ "MIT" ]

null

transformers/transformer_models.py

TomMakkink/transformers-for-rl

9d025f92611e957004030af9ef05a07e320856a7

[ "MIT" ]

null

import math import torch import torch.nn as nn from torch.nn.init import xavier_uniform_ from transformers import PositionalEncoding, RelativeCoordinateEncoding Tensor = torch.Tensor class TransformerModel(nn.Module): """ Transformer baseclass. """ def __init__( self, d_model: int, output_dim: int, max_sequence_length: int, submodule, num_layers: int, dropout: float, ) -> None: """ Args: d_model: number of expected features in the input. output_dim: output dimension of the model. dropout: dropout. Default: 0.0. """ super(TransformerModel, self).__init__() assert isinstance(submodule, nn.Module), "Invalid Transformer submodule. " self.dropout = dropout self.pos_encoder = PositionalEncoding( encoding_type="absolute", d_model=d_model, max_len=max_sequence_length ) self.dropout = nn.Dropout(dropout) self.d_model = d_model self.submodules = nn.ModuleList([submodule for k in range(num_layers)]) self.out_layer = nn.Linear(d_model, output_dim) self._init_network() def _init_network(self): r"""Initiate parameters in the transformer model.""" for p in self.parameters(): if p.dim() > 1: xavier_uniform_(p) def forward(self, x: Tensor): """ Args: x: input tensor, of shape: [seq_len, batch_size, features] Returns: Transformer output, of shape: [seq_len, batch_size, output_dim] """ x = self.pos_encoder(x * math.sqrt(self.d_model)) attn_output_weights = [] for layer in self.submodules: x, attn_output_weight = layer(x) attn_output_weights.append(attn_output_weight) attn_output_weights = torch.stack(attn_output_weights) return self.out_layer(x), attn_output_weights class MemoryTransformerModel(nn.Module): """ Transformer base model that uses memory. """ def __init__( self, d_model: int, output_dim: int, submodule, num_layers: int, num_heads: int, mem_len: int, dropout: float, ): """ Args: d_model: number of expected features in the input. output_dim = output dimension of the model. """ super(MemoryTransformerModel, self).__init__() assert isinstance(submodule, nn.Module), "Invalid Transformer submodule. " num_heads = num_heads dim_head = d_model // num_heads dropout = dropout self.drop = nn.Dropout(dropout) self.mem_len = mem_len self.num_layers = num_layers self.positional_encoding_layer = PositionalEncoding( encoding_type="relative", d_model=d_model, max_len=None, ) self.u = nn.Parameter(torch.zeros(num_heads, dim_head)) self.v = nn.Parameter(torch.zeros(num_heads, dim_head)) self.submodules = nn.ModuleList([submodule for k in range(self.num_layers)]) self.output_layer = nn.Linear(d_model, output_dim, bias=False) def init_mem(self): if self.mem_len > 0: mem = [] param = next(self.parameters()) for i in range(self.num_layers + 1): empty = torch.empty(0, dtype=param.dtype, device=param.device) mem.append(empty) return mem else: return None def _update_mem(self, hids, mem, qlen, mlen): if mem is None: return None assert len(hids) == len(mem), "len(hids) != len(mem)" with torch.no_grad(): new_mem = [] end_idx = mlen + max(0, qlen) beg_idx = max(0, end_idx - self.mem_len) for i in range(len(hids)): cat = torch.cat([mem[i], hids[i]], dim=0) new_mem.append(cat[beg_idx:end_idx].detach()) return new_mem def forward(self, inputs: Tensor, mem: Tensor = None): """ Args: inputs: input tensor, of shape: [source_seq_len, batch_size, features] mem: memory from previous sequence. Returns: Transformer output, of shape: [target_seq_len, batch_size, output_dim] """ if not mem: mem = self.init_mem() qlen, bsz, _ = inputs.size() mlen = mem[0].size(0) if mem is not None else 0 klen = mlen + qlen hids = [] pos_seq = torch.arange( klen - 1, -1, -1.0, dtype=inputs.dtype, device=inputs.device ) pos_emb = self.positional_encoding_layer(pos_seq) core_out = self.drop(inputs) pos_emb = self.drop(pos_emb) attn_output_weights = [] hids.append(core_out) for i, layer in enumerate(self.submodules): mem_i = None if mem is None else mem[i] core_out, attn_output_weight = layer( core_out, pos_emb, self.u, self.v, attn_mask=None, mem=mem_i, ) hids.append(core_out) attn_output_weights.append(attn_output_weight) attn_output_weights = torch.stack(attn_output_weights) core_out = self.drop(core_out) core_out = self.output_layer(core_out) new_mem = self._update_mem(hids, mem, mlen, qlen) return core_out, attn_output_weights, new_mem def reset(self): self.init_mem() for layer in self.submodules: layer.reset() class AdaptiveComputationalTime(nn.Module): """ Adaptive Computational Time: https://arxiv.org/abs/1603.08983. """ def __init__( self, d_model: int, output_dim: int, submodule, max_sequence_length: int, max_act_timesteps: int, halting_threshold: float, ): """ Args: """ super(AdaptiveComputationalTime, self).__init__() assert isinstance(submodule, nn.Module), "Invalid Transformer submodule. " self.pos_encoder = PositionalEncoding( encoding_type="coordinate", d_model=d_model, max_len=max_sequence_length, ) self.halting_threshold = halting_threshold self.max_act_timesteps = max_act_timesteps self.transition = nn.Linear(d_model, 1) self.sigma = nn.Sigmoid() # self.submodules == nn.ModuleList() self.submodule = submodule self.out_layer = nn.Linear(d_model, output_dim) def forward(self, inputs: Tensor): """ Args: inputs shape: (sequence_length, batch_size, feature_dim) """ halting_probability = torch.zeros( size=(inputs.shape[0], inputs.shape[1]), device=inputs.device ) remainders = torch.zeros( size=(inputs.shape[0], inputs.shape[1]), device=inputs.device ) n_updates = torch.zeros( size=(inputs.shape[0], inputs.shape[1]), device=inputs.device ) previous_state = torch.zeros_like(inputs, device=inputs.device) step = 0 state = inputs attn_output_weights = [] while ( ( (halting_probability < self.halting_threshold) & (n_updates < self.max_act_timesteps) ) .byte() .any() ): # Add coordinate embeddings to the state state = self.pos_encoder(state) # Calculate probabilites based on the state p = self.sigma(self.transition(state)).squeeze(-1) # Mask for inputs which have not halted yet still_running = (halting_probability < 1.0).float() # Mask of inputs which halted at this step new_halted = ( halting_probability + p * still_running > self.halting_threshold ).float() * still_running # Mask of inputs which haven't halted, and didn't halt this step still_running = ( halting_probability + p * still_running <= self.halting_threshold ).float() * still_running # Add the halting probability for this step to the halting # probabilities for those input which haven't halted yet halting_probability = halting_probability + p * still_running # Compute remainders for the inputs which halted at this step remainders = remainders + new_halted * (1 - halting_probability) # Add the remainders to those inputs which halted at this step halting_probability = halting_probability + new_halted * remainders # Increment n_updates for all inputs which are still running n_updates = n_updates + still_running + new_halted # Compute the weight to be applied to the new state and output # 0 when the input has already halted # p when the input hasn't halted yet # the remainders when it halted this step update_weights = p * still_running + new_halted * remainders state, attn_output_weight = self.submodule(state) attn_output_weights.append(attn_output_weight) # update running part in the weighted state and keep the rest previous_state = (state * update_weights.unsqueeze(-1)) + ( previous_state * (1 - update_weights.unsqueeze(-1)) ) step += 1 attn_output_weights = torch.stack(attn_output_weights) meta_info = {"remainders": remainders, "n_updates": n_updates, "step": step} return previous_state, attn_output_weights, meta_info class ACTMemory(nn.Module): """ Adaptive Computational Time: https://arxiv.org/abs/1603.08983. """ def __init__( self, d_model: int, output_dim: int, num_heads: int, submodule, max_act_timesteps: int, halting_threshold: float, mem_len: int, dropout: float, ): """ Args: """ super(ACTMemory, self).__init__() assert isinstance(submodule, nn.Module), "Invalid Transformer submodule. " self.halting_threshold = halting_threshold self.max_act_timesteps = max_act_timesteps self.transition = nn.Linear(d_model, 1) self.sigma = nn.Sigmoid() num_heads = num_heads dim_head = d_model // num_heads dropout = dropout self.drop = nn.Dropout(dropout) self.mem_len = mem_len self.positional_encoding_layer = RelativeCoordinateEncoding(d_model=d_model) self.u = nn.Parameter(torch.zeros(num_heads, dim_head)) self.v = nn.Parameter(torch.zeros(num_heads, dim_head)) self.submodule = submodule self.output_layer = nn.Linear(d_model, output_dim) def init_mem(self): if self.mem_len > 0: mem = [] param = next(self.parameters()) for i in range(self.max_act_timesteps + 1): empty = torch.empty(0, dtype=param.dtype, device=param.device) mem.append(empty) return mem else: return None def _update_mem(self, hids, mem, qlen, mlen): if mem is None: return None # Pad hidden cells that have not been filled hids_len = len(hids) for i in range(hids_len, self.max_act_timesteps + 1): zero_tensor = torch.zeros( size=(hids[0].shape), dtype=hids[0].dtype, device=hids[0].device ) hids.append(zero_tensor) assert len(hids) == len(mem), "len(hids) != len(mem)" with torch.no_grad(): new_mem = [] end_idx = mlen + max(0, qlen) beg_idx = max(0, end_idx - self.mem_len) for i in range(len(hids)): cat = torch.cat([mem[i], hids[i]], dim=0) new_mem.append(cat[beg_idx:end_idx].detach()) return new_mem def forward(self, inputs: Tensor, mem: Tensor = None): """ Args: inputs shape: (sequence_length, batch_size, feature_dim) """ if not mem: mem = self.init_mem() qlen, bsz, _ = inputs.size() mlen = mem[0].size(0) if mem is not None else 0 klen = mlen + qlen hids = [] pos_seq = torch.arange( klen - 1, -1, -1.0, dtype=inputs.dtype, device=inputs.device ) state = self.drop(inputs) hids.append(state) halting_probability = torch.zeros( size=(inputs.shape[0], inputs.shape[1]), device=inputs.device ) remainders = torch.zeros( size=(inputs.shape[0], inputs.shape[1]), device=inputs.device ) n_updates = torch.zeros( size=(inputs.shape[0], inputs.shape[1]), device=inputs.device ) previous_state = torch.zeros_like(inputs, device=inputs.device) step = 0 # state = inputs attn_output_weights = [] while ( ( (halting_probability < self.halting_threshold) & (n_updates < self.max_act_timesteps) ) .byte() .any() ): # Add coordinate embeddings to the state pos_emb, time_emb = self.positional_encoding_layer(state, pos_seq) # Calculate probabilites based on the state p = self.sigma(self.transition(state)).squeeze(-1) # Mask for inputs which have not halted yet still_running = (halting_probability < 1.0).float() # Mask of inputs which halted at this step new_halted = ( halting_probability + p * still_running > self.halting_threshold ).float() * still_running # Mask of inputs which haven't halted, and didn't halt this step still_running = ( halting_probability + p * still_running <= self.halting_threshold ).float() * still_running # Add the halting probability for this step to the halting # probabilities for those input which haven't halted yet halting_probability = halting_probability + p * still_running # Compute remainders for the inputs which halted at this step remainders = remainders + new_halted * (1 - halting_probability) # Add the remainders to those inputs which halted at this step halting_probability = halting_probability + new_halted * remainders # Increment n_updates for all inputs which are still running n_updates = n_updates + still_running + new_halted # Compute the weight to be applied to the new state and output # 0 when the input has already halted # p when the input hasn't halted yet # the remainders when it halted this step update_weights = p * still_running + new_halted * remainders mem_i = None if mem is None else mem[step] state, attn_output_weight = self.submodule( state, pos_emb, self.u, self.v, attn_mask=None, mem=mem_i, ) hids.append(state) attn_output_weights.append(attn_output_weight) # update running part in the weighted state and keep the rest previous_state = (state * update_weights.unsqueeze(-1)) + ( previous_state * (1 - update_weights.unsqueeze(-1)) ) step += 1 attn_output_weights = torch.stack(attn_output_weights) new_mem = self._update_mem(hids, mem, mlen, qlen) core_out = self.output_layer(previous_state) return core_out, attn_output_weights, new_mem def reset(self): self.submodule.reset()

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84

0.582369

1,902

16,153

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0.009323

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0

0.007844

0.329103

16,153

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1

0.047319

false

0

0.015773

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null

0

1

0

1

0

null

0

7

c3ac2f2e7ba9f3605cbe311ad5cf6c302cf91760

4,719

py

Python

simple/migrations/0002_auto_20170809_2141.py

littleweaver/wagtail-project-template

34d9b2f659fab2c530902b650e2fc76410b8a22f

[ "BSD-3-Clause" ]

12

2018-04-20T20:06:48.000Z

2022-03-23T08:11:11.000Z

simple/migrations/0002_auto_20170809_2141.py

littleweaver/wagtail-project-template

34d9b2f659fab2c530902b650e2fc76410b8a22f

[ "BSD-3-Clause" ]

16

2018-03-09T22:30:35.000Z

2021-09-07T23:36:05.000Z

simple/migrations/0002_auto_20170809_2141.py

littleweaver/wagtail-project-template

34d9b2f659fab2c530902b650e2fc76410b8a22f

[ "BSD-3-Clause" ]

1

2019-08-02T20:17:35.000Z

# -*- coding: utf-8 -*- # Generated by Django 1.11.3 on 2017-08-09 21:41 from __future__ import unicode_literals from django.db import migrations import wagtail.core.blocks import wagtail.core.fields import wagtail.embeds.blocks import wagtail.images.blocks class Migration(migrations.Migration): dependencies = [ ('simple', '0001_initial'), ] operations = [ migrations.AlterField( model_name='simplepage', name='body', field=wagtail.core.fields.StreamField((('text', wagtail.core.blocks.StructBlock((('text', wagtail.core.blocks.RichTextBlock()), ('background_color', wagtail.core.blocks.ChoiceBlock(choices=[('white', 'White'), ('eastern-blue', 'Eastern Blue'), ('gamboge', 'Gamboge'), ('green', 'Green'), ('pink', 'Pink'), ('red', 'Red'), ('royal-blue', 'Royal Blue'), ('teal', 'Teal'), ('violet', 'Violet'), ('dark-gray', 'Dark Gray')])), ('text_align', wagtail.core.blocks.ChoiceBlock(choices=[('left', 'Left'), ('center', 'Center'), ('right', 'Right')])), ('font_size', wagtail.core.blocks.ChoiceBlock(choices=[('small', 'Small'), ('normal', 'Normal'), ('large', 'Large'), ('jumbo', 'Jumbo')])), ('font_family', wagtail.core.blocks.ChoiceBlock(choices=[('sans-serif', 'Sans Serif'), ('serif', 'Serif')]))), label='Text', template='common/blocks/styled_text_full_bleed.html')), ('image', wagtail.core.blocks.StructBlock((('image', wagtail.images.blocks.ImageChooserBlock()), ('alignment', wagtail.core.blocks.ChoiceBlock(choices=[('left', 'Left'), ('right', 'Right'), ('full-width', 'Full Width')]))))), ('raw_html', wagtail.core.blocks.RawHTMLBlock()), ('blockquote', wagtail.core.blocks.StructBlock((('text', wagtail.core.blocks.RichTextBlock()), ('source_text', wagtail.core.blocks.RichTextBlock(required=False)), ('source_url', wagtail.core.blocks.URLBlock(help_text='Source text will link to this url.', required=False))))), ('list', wagtail.core.blocks.ListBlock(wagtail.core.blocks.CharBlock(label='List Item'), template='common/blocks/list_block_columns.html')), ('video', wagtail.core.blocks.StructBlock((('video', wagtail.embeds.blocks.EmbedBlock()), ('alignment', wagtail.core.blocks.ChoiceBlock(choices=[('left', 'Left'), ('right', 'Right'), ('full-width', 'Full Width')]))))), ('heading_1', wagtail.core.blocks.StructBlock((('content', wagtail.core.blocks.CharBlock()),))), ('heading_2', wagtail.core.blocks.StructBlock((('content', wagtail.core.blocks.CharBlock()),))), ('heading_3', wagtail.core.blocks.StructBlock((('content', wagtail.core.blocks.CharBlock()),))))), ), migrations.AlterField( model_name='simplepagewithmenusidebar', name='body', field=wagtail.core.fields.StreamField((('text', wagtail.core.blocks.StructBlock((('text', wagtail.core.blocks.RichTextBlock()), ('background_color', wagtail.core.blocks.ChoiceBlock(choices=[('white', 'White'), ('eastern-blue', 'Eastern Blue'), ('gamboge', 'Gamboge'), ('green', 'Green'), ('pink', 'Pink'), ('red', 'Red'), ('royal-blue', 'Royal Blue'), ('teal', 'Teal'), ('violet', 'Violet'), ('dark-gray', 'Dark Gray')])), ('text_align', wagtail.core.blocks.ChoiceBlock(choices=[('left', 'Left'), ('center', 'Center'), ('right', 'Right')])), ('font_size', wagtail.core.blocks.ChoiceBlock(choices=[('small', 'Small'), ('normal', 'Normal'), ('large', 'Large'), ('jumbo', 'Jumbo')])), ('font_family', wagtail.core.blocks.ChoiceBlock(choices=[('sans-serif', 'Sans Serif'), ('serif', 'Serif')]))), label='Text')), ('image', wagtail.core.blocks.StructBlock((('image', wagtail.images.blocks.ImageChooserBlock()), ('alignment', wagtail.core.blocks.ChoiceBlock(choices=[('left', 'Left'), ('right', 'Right'), ('full-width', 'Full Width')]))))), ('raw_html', wagtail.core.blocks.RawHTMLBlock()), ('blockquote', wagtail.core.blocks.StructBlock((('text', wagtail.core.blocks.RichTextBlock()), ('source_text', wagtail.core.blocks.RichTextBlock(required=False)), ('source_url', wagtail.core.blocks.URLBlock(help_text='Source text will link to this url.', required=False))))), ('list', wagtail.core.blocks.ListBlock(wagtail.core.blocks.CharBlock(label='List Item'), template='common/blocks/list_block_columns.html')), ('video', wagtail.core.blocks.StructBlock((('video', wagtail.embeds.blocks.EmbedBlock()), ('alignment', wagtail.core.blocks.ChoiceBlock(choices=[('left', 'Left'), ('right', 'Right'), ('full-width', 'Full Width')]))))), ('heading_1', wagtail.core.blocks.StructBlock((('content', wagtail.core.blocks.CharBlock()),))), ('heading_2', wagtail.core.blocks.StructBlock((('content', wagtail.core.blocks.CharBlock()),))), ('heading_3', wagtail.core.blocks.StructBlock((('content', wagtail.core.blocks.CharBlock()),))))), ), ]

157.3

2,079

0.680017

536

4,719

5.91791

0.205224

0.173392

0.251892

0.123581

0.871375

0

0.00623

0.081585

4,719

29

2,080

162.724138

0.725658

0.01441

0

0.272727

1

0

0.271084

0.03012

0

1

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false

0

0.272727

0

0.409091

0

null

0

1

0

1

0

1

0

1

0

null

0

10

c3ee00df15a8824ea7ba3f779e43593ff8eee6db

1,378

py

Python

vue_crud_data/models.py

TakeshiOkamoto/mpp_vue_crud_dj

b09c39e82c014c842de66ed86b86c519962e5284

[ "Unlicense" ]

null

vue_crud_data/models.py

TakeshiOkamoto/mpp_vue_crud_dj

b09c39e82c014c842de66ed86b86c519962e5284

[ "Unlicense" ]

null

vue_crud_data/models.py

TakeshiOkamoto/mpp_vue_crud_dj

b09c39e82c014c842de66ed86b86c519962e5284

[ "Unlicense" ]

null

from django.db import models from django.core.validators import MaxLengthValidator # CRUD class VueCrudData(models.Model): class Meta: db_table = 'vue_crud_data' verbose_name = 'CRUD' # 名前 name = models.CharField(verbose_name='名前', \ max_length=100, default='', \ validators=[MaxLengthValidator(100)]) # コメント comment = models.TextField(verbose_name='コメント', max_length=1000, default='', \ validators=[MaxLengthValidator(1000)]) # 作成日時 created_at = models.DateTimeField(auto_now_add=True) # 更新日時 updated_at = models.DateTimeField(auto_now=True) def __str__(self): return '<id=' + str(self.id) + ', name=' + self.name + '>' # CRUD(BK) class VueCrudDataBk(models.Model): class Meta: db_table = 'vue_crud_data_bk' verbose_name = 'CRUD(BK)' # 名前 name = models.CharField(verbose_name='名前', \ max_length=100, default='', \ validators=[MaxLengthValidator(100)]) # コメント comment = models.TextField(verbose_name='コメント', max_length=1000, default='', \ validators=[MaxLengthValidator(1000)]) # 作成日時 created_at = models.DateTimeField(auto_now_add=True) # 更新日時 updated_at = models.DateTimeField(auto_now=True) def __str__(self): return '<id=' + str(self.id) + ', name=' + self.name + '>'

26

66

0.632075

156

1,378

5.358974

0.288462

0.078947

0.167464

0.119617

0.820574

0.729665

0

0.026515

0.233672

1,378

52

67

26.5

0.765152

0.035559

0

0.733333

0

0.058422

0

1

0.066667

false

0

0.066667

0.6

0

null

0

1

0

1

0

null

0

1

0

8

61681495be2c98af574716b5dea48d768223ae8c

12,164

py

Python

holistic.py

anmolmalik01/mediapipe

703bb138bc9a3aab7a0b9514708f4ae2fb98fba6

[ "MIT" ]

1

2021-12-10T18:20:08.000Z

holistic.py

anmolmalik01/mediapipe

703bb138bc9a3aab7a0b9514708f4ae2fb98fba6

[ "MIT" ]

null

holistic.py

anmolmalik01/mediapipe

703bb138bc9a3aab7a0b9514708f4ae2fb98fba6

[ "MIT" ]

null

import cv2 import mediapipe as mp import time class mediapipe: # ============================================ init ================================================= def __init__(self): # mediapipe solutions variable mp_drawing = mp.solutions.drawing_utils mp_holistic = mp.solutions.holistic mp_drawing_styles = mp.solutions.drawing_styles mp_face_detection = mp.solutions.face_detection mp_face_mesh = mp.solutions.face_mesh mp_hands = mp.solutions.hands mp_pose = mp.solutions.pose pTime = 0 self.mp_drawing = mp_drawing self.mp_holistic = mp_holistic self.mp_drawing_styles = mp_drawing_styles self.mp_face_detection = mp_face_detection self.mp_hands = mp_hands self.mp_pose = mp_pose self.mp_face_mesh = mp_face_mesh self.pTime = pTime # =================================================================================================== def simple_holistic(self, show_fps=False): # capturing webcam 0 cap = cv2.VideoCapture(0) # Initiate holistic model with self.mp_holistic.Holistic( min_detection_confidence=0.5, min_tracking_confidence=0.5 ) as holistic: while cap.isOpened(): success, image = cap.read() if not success: print("Ignoring empty camera frame.") continue # Recolor Feed image.flags.writeable = False image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB) # Make Detections results = holistic.process(image) # Recolor image back to BGR for rendering image.flags.writeable = True image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR) # face landmarks self.mp_drawing.draw_landmarks( image, results.face_landmarks, self.mp_holistic.FACEMESH_CONTOURS, landmark_drawing_spec=None, connection_drawing_spec=self.mp_drawing_styles.DrawingSpec(color=(0, 167, 196), thickness=2, circle_radius=1) ) # pose landmarks self.mp_drawing.draw_landmarks( image, results.pose_landmarks, self.mp_holistic.POSE_CONNECTIONS, landmark_drawing_spec=self.mp_drawing_styles.DrawingSpec(color=(0,0,0), thickness=2, circle_radius=2), connection_drawing_spec=self.mp_drawing_styles.DrawingSpec(color=(255, 255, 255), thickness=3, circle_radius=2) ) # fliping image flip_image = cv2.flip(image, 1) # fps if show_fps==True: cTime = time.time() fps = 1 / (cTime - self.pTime) self.pTime = cTime cv2.putText(flip_image, str(int(fps)), (70, 50), cv2.FONT_HERSHEY_PLAIN, 3, (255, 0, 0), 3) # Showimg image cv2.imshow('MediaPipe Holistic', flip_image) # quiting if cv2.waitKey(10) & 0xFF == ord('q'): break cap.release() cv2.destroyAllWindows() # =================================================================================================== def complex_holistic(self, show_fps=True): # capturing webcam 0 cap = cv2.VideoCapture(0) # Initiate holistic model with self.mp_holistic.Holistic( min_detection_confidence=0.5, min_tracking_confidence=0.5 ) as holistic: while cap.isOpened(): success, image = cap.read() if not success: print("Ignoring empty camera frame.") continue # Recolor Feed image.flags.writeable = False image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB) # Make Detections results = holistic.process(image) # Recolor image back to BGR for rendering image.flags.writeable = True image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR) # face landmarks self.mp_drawing.draw_landmarks( image, results.face_landmarks, self.mp_holistic.FACEMESH_TESSELATION, landmark_drawing_spec=self.mp_drawing.DrawingSpec(color=(255, 255, 255), thickness=1, circle_radius=1), connection_drawing_spec=self.mp_drawing.DrawingSpec(color=(255, 255, 255), thickness=1, circle_radius=1) ) # Right hand self.mp_drawing.draw_landmarks( image, results.right_hand_landmarks, self.mp_holistic.HAND_CONNECTIONS, landmark_drawing_spec=self.mp_drawing.DrawingSpec(color=(0, 0, 0), thickness=3, circle_radius=3), connection_drawing_spec=self.mp_drawing.DrawingSpec(color=(255, 255, 255), thickness=2, circle_radius=2) ) # Left Hand self.mp_drawing.draw_landmarks( image, results.left_hand_landmarks, self.mp_holistic.HAND_CONNECTIONS, landmark_drawing_spec=self.mp_drawing.DrawingSpec(color=(0, 0, 0), thickness=3, circle_radius=3), connection_drawing_spec=self.mp_drawing.DrawingSpec(color=(255, 255, 255), thickness=2, circle_radius=2) ) # Pose landmarks self.mp_drawing.draw_landmarks( image, results.pose_landmarks, self.mp_holistic.POSE_CONNECTIONS, landmark_drawing_spec=self.mp_drawing_styles.DrawingSpec(color=(0,0,0), thickness=2, circle_radius=2), connection_drawing_spec=self.mp_drawing_styles.DrawingSpec(color=(255, 255, 255), thickness=3, circle_radius=2) ) # fliping image flip_image = cv2.flip(image, 1) # fps if show_fps==True: cTime = time.time() fps = 1 / (cTime - self.pTime) self.pTime = cTime cv2.putText(flip_image, str(int(fps)), (70, 50), cv2.FONT_HERSHEY_PLAIN, 3, (255, 0, 0), 3) # showing fliped image cv2.imshow('MediaPipe Holistic', flip_image) # quiting if cv2.waitKey(10) & 0xFF == ord('q'): break cap.release() cv2.destroyAllWindows() # ========================================================================================================================= def face_mesh(self, show_fps=True, contours=True ): # capturing webcam 0 cap = cv2.VideoCapture(0) # Initiate face mesh with self.mp_face_mesh.FaceMesh( min_detection_confidence=0.5, min_tracking_confidence=0.5 ) as face_mesh: while cap.isOpened(): success, image = cap.read() if not success: print("Ignoring empty camera frame.") # If loading a video, use 'break' instead of 'continue'. continue # Recolor Feed image.flags.writeable = False # Make Detections results = face_mesh.process(image) # Recolor image back to BGR for rendering image.flags.writeable = True # face mesh results if results.multi_face_landmarks: for face_landmarks in results.multi_face_landmarks: self.mp_drawing.draw_landmarks( image=image, landmark_list=face_landmarks, connections=self.mp_face_mesh.FACEMESH_TESSELATION, landmark_drawing_spec=None, connection_drawing_spec=self.mp_drawing.DrawingSpec(color=(255, 255, 255), thickness=1, circle_radius=1 ) ) if contours==True: self.mp_drawing.draw_landmarks( image=image, landmark_list=face_landmarks, connections=self.mp_face_mesh.FACEMESH_CONTOURS, landmark_drawing_spec=None, connection_drawing_spec=self.mp_drawing_styles.get_default_face_mesh_contours_style() ) # fliping image flip_image = cv2.flip(image, 1) # fps if show_fps==True: cTime = time.time() fps = 1 / (cTime - self.pTime) self.pTime = cTime cv2.putText(flip_image, str(int(fps)), (70, 50), cv2.FONT_HERSHEY_PLAIN, 3, (255, 0, 0), 3) # showing image cv2.imshow('MediaPipe Holistic', flip_image) # quiting if cv2.waitKey(10) & 0xFF == ord('q'): break cap.release() cv2.destroyAllWindows() # ================================================================================================== def hand_detector(self, show_fps=True): # Capuring webcam 0 cap = cv2.VideoCapture(0) with self.mp_hands.Hands( min_detection_confidence=0.5, min_tracking_confidence=0.5 ) as hands: while cap.isOpened(): success, image = cap.read() if not success: print("Ignoring empty camera frame.") # If loading a video, use 'break' instead of 'continue'. continue # Recolor Feed image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB) image.flags.writeable = False # Make Detections results = hands.process(image) # Recolor image back to BGR for rendering image.flags.writeable = True image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR) # hand detector results if results.multi_hand_landmarks: for hand_landmarks in results.multi_hand_landmarks: self.mp_drawing.draw_landmarks( image, hand_landmarks, self.mp_hands.HAND_CONNECTIONS, landmark_drawing_spec=self.mp_drawing.DrawingSpec(color=(0, 0, 0), thickness=3, circle_radius=3), connection_drawing_spec=self.mp_drawing.DrawingSpec(color=(255, 255, 255), thickness=2, circle_radius=2) ) # flipping image flip_image = cv2.flip(image, 1) # fps if show_fps==True: cTime = time.time() fps = 1 / (cTime - self.pTime) self.pTime = cTime cv2.putText(flip_image, str(int(fps)), (70, 50), cv2.FONT_HERSHEY_PLAIN, 3, (255, 0, 0), 3) # showing flipped image cv2.imshow('MediaPipe Holistic', flip_image) # quitting if cv2.waitKey(10) & 0xFF == ord('q'): break cap.release() cv2.destroyAllWindows() # ================================================================================================== def pose(self, show_fps=True): # capuring webcam 0 cap = cv2.VideoCapture(0) with self.mp_pose.Pose( min_detection_confidence=0.5, min_tracking_confidence=0.5 ) as pose: while cap.isOpened(): success, image = cap.read() if not success: print("Ignoring empty camera frame.") # If loading a video, use 'break' instead of 'continue'. continue # Recolor Feed image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB) image.flags.writeable = False # Make Detections results = pose.process(image) # Recolor image back to BGR for rendering image.flags.writeable = True image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR) self.mp_drawing.draw_landmarks( image, results.pose_landmarks, self.mp_pose.POSE_CONNECTIONS, landmark_drawing_spec=self.mp_drawing_styles.DrawingSpec(color=(0,0,0), thickness=2, circle_radius=2), connection_drawing_spec=self.mp_drawing_styles.DrawingSpec(color=(255, 255, 255), thickness=3, circle_radius=2) ) # flipping image flip_image = cv2.flip(image, 1) # fps if show_fps==True: cTime = time.time() fps = 1 / (cTime - self.pTime) self.pTime = cTime cv2.putText(flip_image, str(int(fps)), (70, 50), cv2.FONT_HERSHEY_PLAIN, 3, (255, 0, 0), 3) # showing flipped image cv2.imshow('MediaPipe Holistic', flip_image) # quitting if cv2.waitKey(10) & 0xFF == ord('q'): break cap.release() cv2.destroyAllWindows() # ================================================ class end =============================================================== if __name__ == '__main__': pipe = mediapipe() pipe.simple_holistic()

33.054348

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0.043147

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0.27902

12,164

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33.054348

0.728506

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0.023041

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null

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0

7

f628266897bc73be2028fc72ce00a6d5ddaec41b

40,675

py

Python

atomate/qchem/fireworks/core.py

fraricci/atomate

ac8997888d79730a697aa166d5bcd516a7222d01

[ "BSD-3-Clause-LBNL" ]

null

atomate/qchem/fireworks/core.py

fraricci/atomate

ac8997888d79730a697aa166d5bcd516a7222d01

[ "BSD-3-Clause-LBNL" ]

null

atomate/qchem/fireworks/core.py

fraricci/atomate

ac8997888d79730a697aa166d5bcd516a7222d01

[ "BSD-3-Clause-LBNL" ]

null

# Defines standardized Fireworks that can be chained easily to perform various # sequences of QChem calculations. import copy from itertools import chain from fireworks import Firework from atomate.qchem.firetasks.critic2 import ProcessCritic2, RunCritic2 from atomate.qchem.firetasks.fragmenter import FragmentMolecule from atomate.qchem.firetasks.geo_transformations import PerturbGeometry from atomate.qchem.firetasks.parse_outputs import QChemToDb from atomate.qchem.firetasks.run_calc import RunQChemCustodian from atomate.qchem.firetasks.write_inputs import WriteInputFromIOSet __author__ = "Samuel Blau, Evan Spotte-Smith" __copyright__ = "Copyright 2018, The Materials Project" __version__ = "0.1" __maintainer__ = "Samuel Blau" __email__ = "samblau1@gmail.com" __status__ = "Alpha" __date__ = "5/23/18" __credits__ = "Brandon Wood, Shyam Dwaraknath" class SinglePointFW(Firework): def __init__( self, molecule=None, name="single point", qchem_cmd=">>qchem_cmd<<", multimode=">>multimode<<", max_cores=">>max_cores<<", qchem_input_params=None, db_file=None, parents=None, **kwargs ): """ Args: molecule (Molecule): Input molecule. name (str): Name for the Firework. qchem_cmd (str): Command to run QChem. Supports env_chk. multimode (str): Parallelization scheme, either openmp or mpi. Supports env_chk. max_cores (int): Maximum number of cores to parallelize over. Supports env_chk. qchem_input_params (dict): Specify kwargs for instantiating the input set parameters. Basic uses would be to modify the default inputs of the set, such as dft_rung, basis_set, pcm_dielectric, scf_algorithm, or max_scf_cycles. See pymatgen/io/qchem/sets.py for default values of all input parameters. For instance, if a user wanted to use a more advanced DFT functional, include a pcm with a dielectric of 30, and use a larger basis, the user would set qchem_input_params = {"dft_rung": 5, "pcm_dielectric": 30, "basis_set": "6-311++g**"}. However, more advanced customization of the input is also possible through the overwrite_inputs key which allows the user to directly modify the rem, pcm, smd, and solvent dictionaries that QChemDictSet passes to inputs.py to print an actual input file. For instance, if a user wanted to set the sym_ignore flag in the rem section of the input file to true, then they would set qchem_input_params = {"overwrite_inputs": "rem": {"sym_ignore": "true"}}. Of course, overwrite_inputs could be used in conjunction with more typical modifications, as seen in the test_double_FF_opt workflow test. db_file (str): Path to file specifying db credentials to place output parsing. parents ([Firework]): Parents of this particular Firework. **kwargs: Other kwargs that are passed to Firework.__init__. """ qchem_input_params = qchem_input_params or {} input_file = "mol.qin" output_file = "mol.qout" t = [] t.append( WriteInputFromIOSet( molecule=molecule, qchem_input_set="SinglePointSet", input_file=input_file, qchem_input_params=qchem_input_params, ) ) t.append( RunQChemCustodian( qchem_cmd=qchem_cmd, multimode=multimode, input_file=input_file, output_file=output_file, max_cores=max_cores, job_type="normal", ) ) t.append( QChemToDb( db_file=db_file, input_file=input_file, output_file=output_file, additional_fields={"task_label": name}, ) ) super().__init__(t, parents=parents, name=name, **kwargs) class ForceFW(Firework): def __init__( self, molecule=None, name="force calculation", qchem_cmd=">>qchem_cmd<<", multimode=">>multimode<<", max_cores=">>max_cores<<", qchem_input_params=None, db_file=None, parents=None, **kwargs ): """ Converge the electron density and calculate the atomic forces, aka the gradient. Args: molecule (Molecule): Input molecule. name (str): Name for the Firework. qchem_cmd (str): Command to run QChem. Supports env_chk. multimode (str): Parallelization scheme, either openmp or mpi. Defaults to openmp. max_cores (int): Maximum number of cores to parallelize over. Supports env_chk. qchem_input_params (dict): Specify kwargs for instantiating the input set parameters. Basic uses would be to modify the default inputs of the set, such as dft_rung, basis_set, pcm_dielectric, scf_algorithm, or max_scf_cycles. See pymatgen/io/qchem/sets.py for default values of all input parameters. For instance, if a user wanted to use a more advanced DFT functional, include a pcm with a dielectric of 30, and use a larger basis, the user would set qchem_input_params = {"dft_rung": 5, "pcm_dielectric": 30, "basis_set": "6-311++g**"}. However, more advanced customization of the input is also possible through the overwrite_inputs key which allows the user to directly modify the rem, pcm, smd, and solvent dictionaries that QChemDictSet passes to inputs.py to print an actual input file. For instance, if a user wanted to set the sym_ignore flag in the rem section of the input file to true, then they would set qchem_input_params = {"overwrite_inputs": "rem": {"sym_ignore": "true"}}. Of course, overwrite_inputs could be used in conjunction with more typical modifications, as seen in the test_double_FF_opt workflow test. db_file (str): Path to file specifying db credentials to place output parsing. parents ([Firework]): Parents of this particular Firework. **kwargs: Other kwargs that are passed to Firework.__init__. """ qchem_input_params = qchem_input_params or {} input_file = "mol.qin" output_file = "mol.qout" t = [] t.append( WriteInputFromIOSet( molecule=molecule, qchem_input_set="ForceSet", input_file=input_file, qchem_input_params=qchem_input_params, ) ) t.append( RunQChemCustodian( qchem_cmd=qchem_cmd, multimode=multimode, input_file=input_file, output_file=output_file, max_cores=max_cores, job_type="normal", ) ) t.append( QChemToDb( db_file=db_file, input_file=input_file, output_file=output_file, additional_fields={"task_label": name}, ) ) super().__init__(t, parents=parents, name=name, **kwargs) class OptimizeFW(Firework): def __init__( self, molecule=None, name="structure optimization", qchem_cmd=">>qchem_cmd<<", multimode=">>multimode<<", max_cores=">>max_cores<<", qchem_input_params=None, db_file=None, parents=None, **kwargs ): """ Optimize the given structure. Args: molecule (Molecule): Input molecule. name (str): Name for the Firework. qchem_cmd (str): Command to run QChem. Supports env_chk. multimode (str): Parallelization scheme, either openmp or mpi. Defaults to openmp. max_cores (int): Maximum number of cores to parallelize over. Supports env_chk. qchem_input_params (dict): Specify kwargs for instantiating the input set parameters. Basic uses would be to modify the default inputs of the set, such as dft_rung, basis_set, pcm_dielectric, scf_algorithm, or max_scf_cycles. See pymatgen/io/qchem/sets.py for default values of all input parameters. For instance, if a user wanted to use a more advanced DFT functional, include a pcm with a dielectric of 30, and use a larger basis, the user would set qchem_input_params = {"dft_rung": 5, "pcm_dielectric": 30, "basis_set": "6-311++g**"}. However, more advanced customization of the input is also possible through the overwrite_inputs key which allows the user to directly modify the rem, pcm, smd, and solvent dictionaries that QChemDictSet passes to inputs.py to print an actual input file. For instance, if a user wanted to set the sym_ignore flag in the rem section of the input file to true, then they would set qchem_input_params = {"overwrite_inputs": "rem": {"sym_ignore": "true"}}. Of course, overwrite_inputs could be used in conjunction with more typical modifications, as seen in the test_double_FF_opt workflow test. db_file (str): Path to file specifying db credentials to place output parsing. parents ([Firework]): Parents of this particular Firework. **kwargs: Other kwargs that are passed to Firework.__init__. """ qchem_input_params = qchem_input_params or {} input_file = "mol.qin" output_file = "mol.qout" t = [] t.append( WriteInputFromIOSet( molecule=molecule, qchem_input_set="OptSet", input_file=input_file, qchem_input_params=qchem_input_params, ) ) t.append( RunQChemCustodian( qchem_cmd=qchem_cmd, multimode=multimode, input_file=input_file, output_file=output_file, max_cores=max_cores, job_type="normal", ) ) t.append( QChemToDb( db_file=db_file, input_file=input_file, output_file=output_file, additional_fields={"task_label": name}, ) ) super().__init__(t, parents=parents, name=name, **kwargs) class TransitionStateFW(Firework): def __init__( self, molecule=None, name="transition state structure optimization", qchem_cmd=">>qchem_cmd<<", multimode=">>multimode<<", max_cores=">>max_cores<<", qchem_input_params=None, db_file=None, parents=None, **kwargs ): """ Optimize the given molecule to a saddle point of the potential energy surface (transition state). Args: molecule (Molecule): Input molecule. name (str): Name for the Firework. qchem_cmd (str): Command to run QChem. Supports env_chk. multimode (str): Parallelization scheme, either openmp or mpi. Defaults to openmp. max_cores (int): Maximum number of cores to parallelize over. Supports env_chk. qchem_input_params (dict): Specify kwargs for instantiating the input set parameters. Basic uses would be to modify the default inputs of the set, such as dft_rung, basis_set, pcm_dielectric, scf_algorithm, or max_scf_cycles. See pymatgen/io/qchem/sets.py for default values of all input parameters. For instance, if a user wanted to use a more advanced DFT functional, include a pcm with a dielectric of 30, and use a larger basis, the user would set qchem_input_params = {"dft_rung": 5, "pcm_dielectric": 30, "basis_set": "6-311++g**"}. However, more advanced customization of the input is also possible through the overwrite_inputs key which allows the user to directly modify the rem, pcm, smd, and solvent dictionaries that QChemDictSet passes to inputs.py to print an actual input file. For instance, if a user wanted to set the sym_ignore flag in the rem section of the input file to true, then they would set qchem_input_params = {"overwrite_inputs": "rem": {"sym_ignore": "true"}}. Of course, overwrite_inputs could be used in conjunction with more typical modifications, as seen in the test_double_FF_opt workflow test. db_file (str): Path to file specifying db credentials to place output parsing. parents ([Firework]): Parents of this particular Firework. **kwargs: Other kwargs that are passed to Firework.__init__. """ qchem_input_params = qchem_input_params or {} input_file = "mol.qin" output_file = "mol.qout" t = list() t.append( WriteInputFromIOSet( molecule=molecule, qchem_input_set="TransitionStateSet", input_file=input_file, qchem_input_params=qchem_input_params, ) ) t.append( RunQChemCustodian( qchem_cmd=qchem_cmd, multimode=multimode, input_file=input_file, output_file=output_file, max_cores=max_cores, job_type="normal", ) ) t.append( QChemToDb( db_file=db_file, input_file=input_file, output_file=output_file, additional_fields={"task_label": name}, ) ) super().__init__(t, parents=parents, name=name, **kwargs) class FrequencyFW(Firework): def __init__( self, molecule=None, name="frequency calculation", qchem_cmd=">>qchem_cmd<<", multimode=">>multimode<<", max_cores=">>max_cores<<", qchem_input_params=None, db_file=None, parents=None, **kwargs ): """ Optimize the given structure. Args: molecule (Molecule): Input molecule. name (str): Name for the Firework. qchem_cmd (str): Command to run QChem. Supports env_chk. multimode (str): Parallelization scheme, either openmp or mpi. Defaults to openmp. max_cores (int): Maximum number of cores to parallelize over. Supports env_chk. qchem_input_params (dict): Specify kwargs for instantiating the input set parameters. Basic uses would be to modify the default inputs of the set, such as dft_rung, basis_set, pcm_dielectric, scf_algorithm, or max_scf_cycles. See pymatgen/io/qchem/sets.py for default values of all input parameters. For instance, if a user wanted to use a more advanced DFT functional, include a pcm with a dielectric of 30, and use a larger basis, the user would set qchem_input_params = {"dft_rung": 5, "pcm_dielectric": 30, "basis_set": "6-311++g**"}. However, more advanced customization of the input is also possible through the overwrite_inputs key which allows the user to directly modify the rem, pcm, smd, and solvent dictionaries that QChemDictSet passes to inputs.py to print an actual input file. For instance, if a user wanted to set the sym_ignore flag in the rem section of the input file to true, then they would set qchem_input_params = {"overwrite_inputs": "rem": {"sym_ignore": "true"}}. Of course, overwrite_inputs could be used in conjunction with more typical modifications, as seen in the test_double_FF_opt workflow test. db_file (str): Path to file specifying db credentials to place output parsing. parents ([Firework]): Parents of this particular Firework. **kwargs: Other kwargs that are passed to Firework.__init__. """ qchem_input_params = qchem_input_params or {} input_file = "mol.qin" output_file = "mol.qout" t = [] t.append( WriteInputFromIOSet( molecule=molecule, qchem_input_set="FreqSet", input_file=input_file, qchem_input_params=qchem_input_params, ) ) t.append( RunQChemCustodian( qchem_cmd=qchem_cmd, multimode=multimode, input_file=input_file, output_file=output_file, max_cores=max_cores, job_type="normal", ) ) t.append( QChemToDb( db_file=db_file, input_file=input_file, output_file=output_file, additional_fields={"task_label": name}, ) ) super().__init__(t, parents=parents, name=name, **kwargs) class PESScanFW(Firework): def __init__( self, molecule=None, name="potential energy surface scan", qchem_cmd=">>qchem_cmd<<", multimode=">>multimode<<", max_cores=">>max_cores<<", qchem_input_params=None, scan_variables=None, db_file=None, parents=None, **kwargs ): """ Perform a potential energy surface scan by varying bond lengths, angles, and/or dihedral angles in a molecule. Args: molecule (Molecule): Input molecule. name (str): Name for the Firework. qchem_cmd (str): Command to run QChem. Supports env_chk. multimode (str): Parallelization scheme, either openmp or mpi. Supports env_chk. max_cores (int): Maximum number of cores to parallelize over. Supports env_chk. qchem_input_params (dict): Specify kwargs for instantiating the input set parameters. Basic uses would be to modify the default inputs of the set, such as dft_rung, basis_set, pcm_dielectric, scf_algorithm, or max_scf_cycles. See pymatgen/io/qchem/sets.py for default values of all input parameters. For instance, if a user wanted to use a more advanced DFT functional, include a pcm with a dielectric of 30, and use a larger basis, the user would set qchem_input_params = {"dft_rung": 5, "pcm_dielectric": 30, "basis_set": "6-311++g**"}. However, more advanced customization of the input is also possible through the overwrite_inputs key which allows the user to directly modify the rem, pcm, smd, and solvent dictionaries that QChemDictSet passes to inputs.py to print an actual input file. scan_variables (dict): dict {str: list}, where the key is the type of variable ("stre" for bond length, "bend" for angle, "tors" for dihedral angle), and the list contains all of the variable set information db_file (str): Path to file specifying db credentials to place output parsing. parents ([Firework]): Parents of this particular Firework. **kwargs: Other kwargs that are passed to Firework.__init__. """ if scan_variables is None: raise ValueError( "Some variable input must be given! Provide some " "bond, angle, or dihedral angle information." ) qchem_input_params = qchem_input_params or dict() qchem_input_params["scan_variables"] = scan_variables input_file = "mol.qin" output_file = "mol.qout" t = list() t.append( WriteInputFromIOSet( molecule=molecule, qchem_input_set="PESScanSet", input_file=input_file, qchem_input_params=qchem_input_params, ) ) t.append( RunQChemCustodian( qchem_cmd=qchem_cmd, multimode=multimode, input_file=input_file, output_file=output_file, max_cores=max_cores, job_type="normal", ) ) t.append( QChemToDb( db_file=db_file, input_file=input_file, output_file=output_file, additional_fields={"task_label": name}, ) ) super().__init__(t, parents=parents, name=name, **kwargs) class FrequencyFlatteningOptimizeFW(Firework): def __init__( self, molecule=None, name="frequency flattening structure optimization", qchem_cmd=">>qchem_cmd<<", multimode=">>multimode<<", max_cores=">>max_cores<<", qchem_input_params=None, max_iterations=10, max_molecule_perturb_scale=0.3, linked=True, freq_before_opt=False, perturb_geometry=False, mode=None, scale=1.0, db_file=None, parents=None, **kwargs ): """ Iteratively optimize the given structure and flatten imaginary frequencies to ensure that the resulting structure is a true minima and not a saddle point. Args: molecule (Molecule): Input molecule. name (str): Name for the Firework. qchem_cmd (str): Command to run QChem. Supports env_chk. multimode (str): Parallelization scheme, either openmp or mpi. Supports env_chk. max_cores (int): Maximum number of cores to parallelize over. Supports env_chk. qchem_input_params (dict): Specify kwargs for instantiating the input set parameters. Basic uses would be to modify the default inputs of the set, such as dft_rung, basis_set, pcm_dielectric, scf_algorithm, or max_scf_cycles. See pymatgen/io/qchem/sets.py for default values of all input parameters. For instance, if a user wanted to use a more advanced DFT functional, include a pcm with a dielectric of 30, and use a larger basis, the user would set qchem_input_params = {"dft_rung": 5, "pcm_dielectric": 30, "basis_set": "6-311++g**"}. However, more advanced customization of the input is also possible through the overwrite_inputs key which allows the user to directly modify the rem, pcm, smd, and solvent dictionaries that QChemDictSet passes to inputs.py to print an actual input file. For instance, if a user wanted to set the sym_ignore flag in the rem section of the input file to true, then they would set qchem_input_params = {"overwrite_inputs": "rem": {"sym_ignore": "true"}}. Of course, overwrite_inputs could be used in conjunction with more typical modifications, as seen in the test_double_FF_opt workflow test. max_iterations (int): Number of perturbation -> optimization -> frequency iterations to perform. Defaults to 10. max_molecule_perturb_scale (float): The maximum scaled perturbation that can be applied to the molecule. Defaults to 0.3. freq_before_opt (bool): If True (default False), run a frequency calculation before any opt/ts searches to improve understanding of the local potential energy surface. Only use this option if linked=True. perturb_geometry (bool): If True (default False), then modify the input geometry by some translation matrix (N x 3, where N is the number of atoms) before optimizing. mode (np.ndarray): If not None (default), then perturb the geometry by this matrix. This will be ignored if perturb_geometry is False. scale (float): Scaling factor for perturbation db_file (str): Path to file specifying db credentials to place output parsing. parents ([Firework]): Parents of this particular Firework. **kwargs: Other kwargs that are passed to Firework.__init__. """ qchem_input_params = qchem_input_params or {} input_file = "mol.qin" output_file = "mol.qout" t = [] if perturb_geometry: t.append(PerturbGeometry(molecule=molecule, mode=mode, scale=scale)) # Make sure that subsequent firetasks use the perturbed Molecule molecule = None if freq_before_opt: t.append( WriteInputFromIOSet( molecule=molecule, qchem_input_set="FreqSet", input_file=input_file, qchem_input_params=qchem_input_params, ) ) else: t.append( WriteInputFromIOSet( molecule=molecule, qchem_input_set="OptSet", input_file=input_file, qchem_input_params=qchem_input_params, ) ) t.append( RunQChemCustodian( qchem_cmd=qchem_cmd, multimode=multimode, input_file=input_file, output_file=output_file, max_cores=max_cores, job_type="opt_with_frequency_flattener", max_iterations=max_iterations, max_molecule_perturb_scale=max_molecule_perturb_scale, linked=linked, freq_before_opt=freq_before_opt, ) ) t.append( QChemToDb( db_file=db_file, input_file=input_file, output_file=output_file, additional_fields={ "task_label": name, "special_run_type": "frequency_flattener", "linked": linked, }, ) ) super().__init__(t, parents=parents, name=name, **kwargs) class FrequencyFlatteningTransitionStateFW(Firework): def __init__( self, molecule=None, name="frequency flattening transition state optimization", qchem_cmd=">>qchem_cmd<<", multimode=">>multimode<<", max_cores=">>max_cores<<", qchem_input_params=None, max_iterations=3, max_molecule_perturb_scale=0.3, linked=True, freq_before_opt=True, perturb_geometry=False, mode=None, scale=1, db_file=None, parents=None, **kwargs ): """ Iteratively optimize the transition state structure and flatten imaginary frequencies to ensure that the resulting structure is a true transition state. Args: molecule (Molecule): Input molecule. name (str): Name for the Firework. qchem_cmd (str): Command to run QChem. Supports env_chk. multimode (str): Parallelization scheme, either openmp or mpi. Supports env_chk. max_cores (int): Maximum number of cores to parallelize over. Supports env_chk. qchem_input_params (dict): Specify kwargs for instantiating the input set parameters. Basic uses would be to modify the default inputs of the set, such as dft_rung, basis_set, pcm_dielectric, scf_algorithm, or max_scf_cycles. See pymatgen/io/qchem/sets.py for default values of all input parameters. For instance, if a user wanted to use a more advanced DFT functional, include a pcm with a dielectric of 30, and use a larger basis, the user would set qchem_input_params = {"dft_rung": 5, "pcm_dielectric": 30, "basis_set": "6-311++g**"}. However, more advanced customization of the input is also possible through the overwrite_inputs key which allows the user to directly modify the rem, pcm, smd, and solvent dictionaries that QChemDictSet passes to inputs.py to print an actual input file. For instance, if a user wanted to set the sym_ignore flag in the rem section of the input file to true, then they would set qchem_input_params = {"overwrite_inputs": "rem": {"sym_ignore": "true"}}. Of course, overwrite_inputs could be used in conjunction with more typical modifications, as seen in the test_double_FF_opt workflow test. max_iterations (int): Number of perturbation -> optimization -> frequency iterations to perform. Defaults to 3. Higher numbers are not recommended, as they rarely lead to improved performance. max_molecule_perturb_scale (float): The maximum scaled perturbation that can be applied to the molecule. Defaults to 0.3. linked (bool): If True (default False), the scratch output from one calculation will be passed from one calculation to the next, improving convergence behavior. freq_before_opt (bool): If True (default False), run a frequency calculation before any opt/ts searches to improve understanding of the local potential energy surface. Only use this option if linked=True. perturb_geometry (bool): If True (default False), then modify the input geometry by some translation matrix (N x 3, where N is the number of atoms) before optimizing. mode (np.ndarray): If not None (default), then perturb the geometry by this matrix. This will be ignored if perturb_geometry is False. scale (float): Scaling factor for the geometry perturbation. db_file (str): Path to file specifying db credentials to place output parsing. parents ([Firework]): Parents of this particular Firework. **kwargs: Other kwargs that are passed to Firework.__init__. """ qchem_input_params = qchem_input_params or {} input_file = "mol.qin" output_file = "mol.qout" runs = list( chain.from_iterable( [["ts_" + str(ii), "freq_" + str(ii)] for ii in range(10)] ) ) if freq_before_opt: runs.insert(0, "freq_pre") t = list() if perturb_geometry: t.append(PerturbGeometry(molecule=molecule, mode=mode, scale=scale)) # Make sure that subsequent firetasks use the perturbed Molecule molecule = None if freq_before_opt: t.append( WriteInputFromIOSet( molecule=molecule, qchem_input_set="FreqSet", input_file=input_file, qchem_input_params=qchem_input_params, ) ) else: t.append( WriteInputFromIOSet( molecule=molecule, qchem_input_set="TransitionStateSet", input_file=input_file, qchem_input_params=qchem_input_params, ) ) t.append( RunQChemCustodian( qchem_cmd=qchem_cmd, multimode=multimode, input_file=input_file, output_file=output_file, max_cores=max_cores, job_type="opt_with_frequency_flattener", max_iterations=max_iterations, max_molecule_perturb_scale=max_molecule_perturb_scale, transition_state=True, linked=linked, freq_before_opt=freq_before_opt, ) ) t.append( QChemToDb( db_file=db_file, input_file=input_file, output_file=output_file, runs=runs, additional_fields={ "task_label": name, "special_run_type": "ts_frequency_flattener", "linked": linked, }, ) ) super().__init__(t, parents=parents, name=name, **kwargs) class FragmentFW(Firework): def __init__( self, molecule=None, depth=1, open_rings=True, additional_charges=None, do_triplets=True, linked=False, name="fragment and optimize", qchem_input_params=None, db_file=None, check_db=True, parents=None, **kwargs ): """ Fragment the given structure and optimize all unique fragments Args: molecule (Molecule): Input molecule. depth (int): Fragmentation depth. Defaults to 1. See fragmenter firetask for more details. open_rings (bool): Whether or not to open any rings encountered during fragmentation. Defaults to True. See fragmenter firetask for more details. additional_charges (list): List of additional charges besides the defaults. See fragmenter firetask for more details. do_triplets (bool): Whether to simulate triplets as well as singlets for molecules with an even number of electrons. Defaults to True. name (str): Name for the Firework. qchem_input_params (dict): Specify kwargs for instantiating the input set parameters. Basic uses would be to modify the default inputs of the set, such as dft_rung, basis_set, pcm_dielectric, scf_algorithm, or max_scf_cycles. See pymatgen/io/qchem/sets.py for default values of all input parameters. For instance, if a user wanted to use a more advanced DFT functional, include a pcm with a dielectric of 30, and use a larger basis, the user would set qchem_input_params = {"dft_rung": 5, "pcm_dielectric": 30, "basis_set": "6-311++g**"}. However, more advanced customization of the input is also possible through the overwrite_inputs key which allows the user to directly modify the rem, pcm, smd, and solvent dictionaries that QChemDictSet passes to inputs.py to print an actual input file. For instance, if a user wanted to set the sym_ignore flag in the rem section of the input file to true, then they would set qchem_input_params = {"overwrite_inputs": "rem": {"sym_ignore": "true"}}. Of course, overwrite_inputs could be used in conjunction with more typical modifications, as seen in the test_double_FF_opt workflow test. db_file (str): Path to file specifying db credentials to place output parsing. check_db (bool): Whether or not to check the database for equivalent structures before adding new fragment fireworks. Defaults to True. parents ([Firework]): Parents of this particular Firework. **kwargs: Other kwargs that are passed to Firework.__init__. """ qchem_input_params = qchem_input_params or {} additional_charges = additional_charges or [] t = [] t.append( FragmentMolecule( molecule=molecule, depth=depth, open_rings=open_rings, additional_charges=additional_charges, do_triplets=do_triplets, linked=linked, qchem_input_params=qchem_input_params, db_file=db_file, check_db=check_db, ) ) super().__init__(t, parents=parents, name=name, **kwargs) class CubeAndCritic2FW(Firework): def __init__( self, molecule=None, name="cube and critic2", qchem_cmd=">>qchem_cmd<<", multimode=">>multimode<<", max_cores=">>max_cores<<", qchem_input_params=None, db_file=None, parents=None, **kwargs ): """ Perform a Q-Chem single point calculation in order to generate a cube file of the electron density and then analyze the electron density critical points with the Critic2 package. Args: molecule (Molecule): Input molecule. name (str): Name for the Firework. qchem_cmd (str): Command to run QChem. Supports env_chk. multimode (str): Parallelization scheme, either openmp or mpi. Supports env_chk. max_cores (int): Maximum number of cores to parallelize over. Supports env_chk. qchem_input_params (dict): Specify kwargs for instantiating the input set parameters. Basic uses would be to modify the default inputs of the set, such as dft_rung, basis_set, pcm_dielectric, scf_algorithm, or max_scf_cycles. See pymatgen/io/qchem/sets.py for default values of all input parameters. For instance, if a user wanted to use a more advanced DFT functional, include a pcm with a dielectric of 30, and use a larger basis, the user would set qchem_input_params = {"dft_rung": 5, "pcm_dielectric": 30, "basis_set": "6-311++g**"}. However, more advanced customization of the input is also possible through the overwrite_inputs key which allows the user to directly modify the rem, pcm, smd, and solvent dictionaries that QChemDictSet passes to inputs.py to print an actual input file. For instance, if a user wanted to set the sym_ignore flag in the rem section of the input file to true, then they would set qchem_input_params = {"overwrite_inputs": "rem": {"sym_ignore": "true"}}. Of course, overwrite_inputs could be used in conjunction with more typical modifications, as seen in the test_double_FF_opt workflow test. db_file (str): Path to file specifying db credentials to place output parsing. parents ([Firework]): Parents of this particular Firework. **kwargs: Other kwargs that are passed to Firework.__init__. """ qchem_input_params = copy.deepcopy(qchem_input_params) or {} qchem_input_params["plot_cubes"] = True input_file = "mol.qin" output_file = "mol.qout" t = [] t.append( WriteInputFromIOSet( molecule=molecule, qchem_input_set="SinglePointSet", input_file=input_file, qchem_input_params=qchem_input_params, ) ) t.append( RunQChemCustodian( qchem_cmd=qchem_cmd, multimode=multimode, input_file=input_file, output_file=output_file, max_cores=max_cores, job_type="normal", ) ) t.append(RunCritic2(molecule=molecule, cube_file="dens.0.cube.gz")) t.append(ProcessCritic2(molecule=molecule)) t.append( QChemToDb( db_file=db_file, input_file=input_file, output_file=output_file, additional_fields={"task_label": name}, ) ) super().__init__(t, parents=parents, name=name, **kwargs)

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Python

instance/config.py

wanjikuciku/News-highlight

d7e0939488aa15bea713e6c30a18bafd5be3e01a

[ "Unlicense" ]

null

instance/config.py

wanjikuciku/News-highlight

d7e0939488aa15bea713e6c30a18bafd5be3e01a

[ "Unlicense" ]

null

instance/config.py

wanjikuciku/News-highlight

d7e0939488aa15bea713e6c30a18bafd5be3e01a

[ "Unlicense" ]

null

NEWS_API_KEY = '<8d5f514bd83b414e9cc06c4df0ae8727>'

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9c8c791e6d197a6296f7914ad78462a1e5f0326b

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py

Python

Packs/Campaign/Scripts/SetPhishingCampaignDetails/test_data/campaign_data.py

diCagri/content

c532c50b213e6dddb8ae6a378d6d09198e08fc9f

[ "MIT" ]

799

2016-08-02T06:43:14.000Z

2022-03-31T11:10:11.000Z

Packs/Campaign/Scripts/SetPhishingCampaignDetails/test_data/campaign_data.py

diCagri/content

c532c50b213e6dddb8ae6a378d6d09198e08fc9f

[ "MIT" ]

9,317

2016-08-07T19:00:51.000Z

2022-03-31T21:56:04.000Z

Packs/Campaign/Scripts/SetPhishingCampaignDetails/test_data/campaign_data.py

diCagri/content

c532c50b213e6dddb8ae6a378d6d09198e08fc9f

[ "MIT" ]

1,297

2016-08-04T13:59:00.000Z

2022-03-31T23:43:06.000Z

CAMPAIGN_INCIDENT_CONTEXT = { "EmailCampaign": { "firstIncidentDate": "2021-11-21T14:00:07.425185+00:00", "incidents": [ { "emailfrom": "examplesupport@example2.com", "emailfromdomain": "example.com", "id": "1", "name": "Verify your example account 798", "occurred": "2021-11-21T14:00:07.119800133Z", "recipients": [ "victim-test6@demistodev.onmicrosoft.com" ], "recipientsdomain": [ "onmicrosoft.com" ], "severity": 0, "similarity": 1, "status": 1 }, { "emailfrom": "examplesupport@example2.com", "emailfromdomain": "example2.com", "id": "2", "name": "Verify your example account 798", "occurred": "2021-11-21T14:59:01.690685509Z", "recipients": [ "victim-test1@demistodev.onmicrosoft.com" ], "recipientsdomain": [ "onmicrosoft.com" ], "severity": 0, "similarity": 0.9999999999999999, "status": 1 }, { "emailfrom": "examplesupport@example2.com", "emailfromdomain": "example.com", "id": "3", "name": "Verify your example account 798", "occurred": "2021-11-21T15:00:07.425185504Z", "recipients": [ "victim-test7@demistodev.onmicrosoft.com" ], "recipientsdomain": [ "onmicrosoft.com" ], "severity": 3, "similarity": 1, "status": 1 } ], "indicators": [ { "id": "1263", "value": "http://www.example.com" } ], "involvedIncidentsCount": 3, "isCampaignFound": True }, "ExistingCampaignID": [ "809" ] } NEW_INCIDENT_CONTEXT = { "EmailCampaign": { "firstIncidentDate": "2021-11-21T14:00:07.425185+00:00", "incidents": [ { "emailfrom": "examplesupport@example2.com", "emailfromdomain": "example.com", "id": "5", "name": "Verify your example account 798", "occurred": "2021-11-21T15:01:07.119800133Z", "recipients": [ "victim-test6@demistodev.onmicrosoft.com" ], "recipientsdomain": [ "onmicrosoft.com" ], "severity": 0, "similarity": 1, "status": 1 }, { "emailfrom": "examplesupport@example2.com", "emailfromdomain": "example.com", "id": "1", "name": "Verify your example account 798", "occurred": "2021-11-21T14:00:07.119800133Z", "recipients": [ "victim-test6@demistodev.onmicrosoft.com" ], "recipientsdomain": [ "onmicrosoft.com" ], "severity": 0, "similarity": 0.99, "status": 1 }, { "emailfrom": "examplesupport@example2.com", "emailfromdomain": "example2.com", "id": "2", "name": "Verify your example account 798", "occurred": "2021-11-21T14:59:01.690685509Z", "recipients": [ "victim-test1@demistodev.onmicrosoft.com" ], "recipientsdomain": [ "onmicrosoft.com" ], "severity": 0, "similarity": 0.98, "status": 1 }, { "emailfrom": "examplesupport@example2.com", "emailfromdomain": "example.com", "id": "3", "name": "Verify your example account 798", "occurred": "2021-11-21T15:00:07.425185504Z", "recipients": [ "victim-test7@demistodev.onmicrosoft.com" ], "recipientsdomain": [ "onmicrosoft.com" ], "severity": 3, "similarity": 0.85, "status": 1 } ], "indicators": [ { "id": "1263", "value": "http://www.example.com" } ], "involvedIncidentsCount": 4, "isCampaignFound": True }, "ExistingCampaignID": [ "809" ] } NEW_INCIDENT_2_CONTEXT = { "EmailCampaign": { "firstIncidentDate": "2021-11-21T14:00:07.425185+00:00", "incidents": [ { "emailfrom": "examplesupport@example2.com", "emailfromdomain": "example.com", "id": "4", "name": "Verify your example account 798", "occurred": "2021-11-21T16:00:00.119800133Z", "recipients": [ "victim-test6@demistodev.onmicrosoft.com" ], "recipientsdomain": [ "onmicrosoft.com" ], "severity": 0, "similarity": 1, "status": 1 }, { "emailfrom": "examplesupport@example2.com", "emailfromdomain": "example.com", "id": "1", "name": "Verify your example account 798", "occurred": "2021-11-21T14:00:07.119800133Z", "recipients": [ "victim-test6@demistodev.onmicrosoft.com" ], "recipientsdomain": [ "onmicrosoft.com" ], "severity": 0, "similarity": 0.98, "status": 1 }, { "emailfrom": "examplesupport@example2.com", "emailfromdomain": "example2.com", "id": "2", "name": "Verify your example account 798", "occurred": "2021-11-21T14:59:01.690685509Z", "recipients": [ "victim-test1@demistodev.onmicrosoft.com" ], "recipientsdomain": [ "onmicrosoft.com" ], "severity": 0, "similarity": 0.97, "status": 1 }, { "emailfrom": "examplesupport@example2.com", "emailfromdomain": "example.com", "id": "3", "name": "Verify your example account 798", "occurred": "2021-11-21T15:00:07.425185504Z", "recipients": [ "victim-test7@demistodev.onmicrosoft.com" ], "recipientsdomain": [ "onmicrosoft.com" ], "severity": 3, "similarity": 0.86, "status": 1 } ], "indicators": [ { "id": "1263", "value": "http://www.example.com" } ], "involvedIncidentsCount": 4, "isCampaignFound": True }, "ExistingCampaignID": [ "809" ] } OLD_INCIDENT_CONTEXT = { "EmailCampaign": { "firstIncidentDate": "2021-11-21T14:00:07.425185+00:00", "incidents": [ { "emailfrom": "examplesupport@example2.com", "emailfromdomain": "example.com", "id": "1", "name": "Verify your example account 798", "occurred": "2021-11-21T14:00:07.119800133Z", "recipients": [ "victim-test6@demistodev.onmicrosoft.com" ], "recipientsdomain": [ "onmicrosoft.com" ], "severity": 0, "similarity": 1, "status": 1 }, { "emailfrom": "examplesupport@example2.com", "emailfromdomain": "example2.com", "id": "2", "name": "Verify your example account 798", "occurred": "2021-11-21T14:59:01.690685509Z", "recipients": [ "victim-test1@demistodev.onmicrosoft.com" ], "recipientsdomain": [ "onmicrosoft.com" ], "severity": 0, "similarity": 0.9999999999999999, "status": 1 }, { "emailfrom": "examplesupport@example2.com", "emailfromdomain": "example.com", "id": "3", "name": "Verify your example account 798", "occurred": "2021-11-21T15:00:07.425185504Z", "recipients": [ "victim-test7@demistodev.onmicrosoft.com" ], "recipientsdomain": [ "onmicrosoft.com" ], "severity": 3, "similarity": 1, "status": 1 } ], "indicators": [ { "id": "1263", "value": "http://www.example.com" } ], "involvedIncidentsCount": 3, "isCampaignFound": True }, "ExistingCampaignID": [ "809" ] } NEW_EMPTY_CAMPAIGN = {} INCIDENTS_BY_ID = {'0': CAMPAIGN_INCIDENT_CONTEXT, '1': NEW_EMPTY_CAMPAIGN, '3': OLD_INCIDENT_CONTEXT, '4': NEW_INCIDENT_2_CONTEXT, '5': NEW_INCIDENT_CONTEXT}

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9cac519b9b19b3203af1c4ad2219f1501a79a95f

165

py

Python

tests/test_base.py

AGaliciaMartinez/qutip-tensorflow

1768387250271d6083626c10b83ea86bbb973ebf

[ "BSD-3-Clause" ]

2

2021-05-24T23:19:21.000Z

2021-05-25T07:45:13.000Z

tests/test_base.py

AGaliciaMartinez/qutip-tensorflow

1768387250271d6083626c10b83ea86bbb973ebf

[ "BSD-3-Clause" ]

null

tests/test_base.py

AGaliciaMartinez/qutip-tensorflow

1768387250271d6083626c10b83ea86bbb973ebf

[ "BSD-3-Clause" ]

null

# This is a dummy test file; delete it once the package actually has tests. def test_import(): import qutip_tensorflow assert qutip_tensorflow.__version__

23.571429

75

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24

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5

0.833333

0.25

0

0.187879

165

6

76

27.5

0.895522

0.442424

0

0.333333

1

0.333333

true

0

0.666667

0

1

0

1

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null

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null

0

1

0

1

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1

0

7

1ad2b91aa923995a47386d91a6b7325029404326

124,658

py

Python

dnaplotlib/dnaplotlib.py

scaralbi/dnaplotlib

a1fdd12ac3f3df1b16a0351402b8fe4f29b388d9

[ "MIT" ]

1

2020-09-18T17:38:53.000Z

dnaplotlib/dnaplotlib/dnaplotlib.py

CIDARLAB/pidgeon

875f3883aeac03b1c38bc592f262e18a390f482b

[ "BSD-3-Clause" ]

2

2020-05-19T21:04:24.000Z

2020-05-20T23:56:07.000Z

dnaplotlib/dnaplotlib/dnaplotlib.py

CIDARLAB/pidgeon

875f3883aeac03b1c38bc592f262e18a390f482b

[ "BSD-3-Clause" ]

3

2020-05-19T16:23:09.000Z

2020-08-04T22:28:21.000Z

#!/usr/bin/env python """ DNAplotlib ========== This module is designed to allow for highly customisable visualisation of DNA fragments. Diagrams can be in the form of conceptual SBOL compliant icons or make use of icons whose width is scaled to allow for easier comparison of part locations to trace information, such as for corresponding RNA-seq read depth data. All plotting is performed using matplotlib and to an axis object. This enables the export of publication quality, vector-based figures. Furthermore, all standard renderers can be replaced with user defined versions to allow for full customisation of the plot. To make use of this module it is necessary to create the rendering object after importing the module: > import dnaplotlib as dpl > dr = dpl.DNARenderer() This object performs all rendering using the renderDNA() method. To describe what should be plotted, dnaplotlib requires the DNA design in a specific format. For standard SBOL diagrams a design is a list of dictionaries where each dictionary relates to a specific part and as a minimum contains the keys: - name: A name that can be potentially used in regulation. - type: The type of part (decides which renderer to use). - fwd: Boolean defining if the part is in a forward orientation. - start: Start position (optional) - end: End position (optional) Once this list is defined and an axis object is created the design can be draw using standard renders and to a user created matplotlib axes by running: > reg_renderers = dr.std_reg_renderers() > part_renderers = dr.SBOL_part_renderers() > regs = None > design = ... Design is created here ... > ax = ... matplotlib axes created here ... > start, end = dr.renderDNA(ax, design, part_renderers, regs, reg_renderers) The function returns the start and end point of the design which can then be used for resizing the axes and figure. For more advanced use cases we advise looking at the gallery distributed with this module. """ import math import csv from operator import itemgetter # Set the backend to use (important for headless servers) import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt from matplotlib.patches import Polygon, Ellipse, Wedge, Circle, PathPatch from matplotlib.path import Path from matplotlib.lines import Line2D from matplotlib.patheffects import Stroke import matplotlib.patches as patches __author__ = 'Thomas E. Gorochowski <tom@chofski.co.uk>\n\ Bryan Der <bder@mit.edu>\n\ Emerson Glassey <eglassey@mit.edu>' __license__ = 'MIT' __version__ = '1.0' ############################################################################### # SBOL Compliant Icon Renderers ############################################################################### def write_label (ax, label_text, x_pos, opts=None): """ Renders labels on parts. """ zorder_add = 0.0 y_offset = 0.0 label_style = 'normal' label_size = 7 label_y_offset = 0 label_x_offset = 0 label_color = (0,0,0) label_rotation = 0 if opts != None: if 'zorder_add' in list(opts.keys()): zorder_add = opts['zorder_add'] if 'y_offset' in list(opts.keys()): y_offset = opts['y_offset'] if 'label_style' in list(opts.keys()): label_style = opts['label_style'] if 'label_size' in list(opts.keys()): label_size = opts['label_size'] if 'label_y_offset' in list(opts.keys()): label_y_offset = opts['label_y_offset'] if 'label_x_offset' in list(opts.keys()): label_x_offset = opts['label_x_offset'] if 'label_color' in list(opts.keys()): label_color = opts['label_color'] if 'label_rotation' in list(opts.keys()): label_rotation = opts['label_rotation'] ax.text(x_pos+label_x_offset, label_y_offset+y_offset, label_text, horizontalalignment='center', verticalalignment='center', fontsize=label_size, fontstyle=label_style, color=label_color, rotation=label_rotation, zorder=30+zorder_add) def sbol_promoter (ax, type, num, start, end, prev_end, scale, linewidth, opts): """ Built-in SBOL promoter renderer. """ # Default options zorder_add = 0.0 color = (0.0,0.0,0.0) start_pad = 2.0 end_pad = 2.0 y_extent = 10 x_extent = 10 arrowhead_height = 2 arrowhead_length = 4 # Reset defaults if provided if opts != None: if 'zorder_add' in list(opts.keys()): zorder_add = opts['zorder_add'] if 'color' in list(opts.keys()): color = opts['color'] if 'start_pad' in list(opts.keys()): start_pad = opts['start_pad'] if 'end_pad' in list(opts.keys()): end_pad = opts['end_pad'] if 'y_extent' in list(opts.keys()): y_extent = opts['y_extent'] if 'x_extent' in list(opts.keys()): x_extent = opts['x_extent'] if 'arrowhead_height' in list(opts.keys()): arrowhead_height = opts['arrowhead_height'] if 'arrowhead_length' in list(opts.keys()): arrowhead_length = opts['arrowhead_length'] if 'linewidth' in list(opts.keys()): linewidth = opts['linewidth'] if 'scale' in list(opts.keys()): scale = opts['scale'] # Check direction add start padding dir_fac = 1.0 final_end = end final_start = prev_end if start > end: dir_fac = -1.0 start = prev_end+end_pad+x_extent end = prev_end+end_pad final_end = start+start_pad else: start = prev_end+start_pad end = start+x_extent final_end = end+end_pad # Draw the promoter symbol l1 = Line2D([start,start],[0,dir_fac*y_extent], linewidth=linewidth, color=color, zorder=9+zorder_add) l2 = Line2D([start,start+dir_fac*x_extent-dir_fac*(arrowhead_length*0.5)], [dir_fac*y_extent,dir_fac*y_extent], linewidth=linewidth, color=color, zorder=10+zorder_add) ax.add_line(l1) ax.add_line(l2) p1 = Polygon([(start+dir_fac*x_extent-dir_fac*arrowhead_length, dir_fac*y_extent+(arrowhead_height)), (start+dir_fac*x_extent, dir_fac*y_extent), (start+dir_fac*x_extent-dir_fac*arrowhead_length, dir_fac*y_extent-(arrowhead_height))], facecolor=color, edgecolor=color, linewidth=linewidth, zorder=1+zorder_add, path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0 ax.add_patch(p1) if opts != None and 'label' in list(opts.keys()): if final_start > final_end: write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) else: write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) if final_start > final_end: return prev_end, final_start else: return prev_end, final_end def sbol_cds (ax, type, num, start, end, prev_end, scale, linewidth, opts): """ Built-in SBOL coding sequence renderer. """ # Default options zorder_add = 0.0 color = (0.7,0.7,0.7) hatch = '' start_pad = 1.0 end_pad = 1.0 y_extent = 5 x_extent = 30 arrowhead_height = 4 arrowhead_length = 8 edgecolor = (0,0,0) # Reset defaults if provided if opts != None: if 'zorder_add' in list(opts.keys()): zorder_add = opts['zorder_add'] if 'color' in list(opts.keys()): color = opts['color'] if 'hatch' in list(opts.keys()): hatch = opts['hatch'] if 'start_pad' in list(opts.keys()): start_pad = opts['start_pad'] if 'end_pad' in list(opts.keys()): end_pad = opts['end_pad'] if 'y_extent' in list(opts.keys()): y_extent = opts['y_extent'] if 'x_extent' in list(opts.keys()): x_extent = opts['x_extent'] if 'arrowhead_height' in list(opts.keys()): arrowhead_height = opts['arrowhead_height'] if 'arrowhead_length' in list(opts.keys()): arrowhead_length = opts['arrowhead_length'] if 'linewidth' in list(opts.keys()): linewidth = opts['linewidth'] if 'scale' in list(opts.keys()): scale = opts['scale'] if 'edge_color' in list(opts.keys()): edgecolor = opts['edge_color'] # Check direction add start padding dir_fac = 1.0 final_end = end final_start = prev_end if start > end: dir_fac = -1.0 start = prev_end+end_pad+x_extent end = prev_end+end_pad final_end = start+start_pad else: start = prev_end+start_pad end = start+x_extent final_end = end+end_pad # Draw the CDS symbol p1 = Polygon([(start, y_extent), (start, -y_extent), (end-dir_fac*arrowhead_length, -y_extent), (end-dir_fac*arrowhead_length, -y_extent-arrowhead_height), (end, 0), (end-dir_fac*arrowhead_length, y_extent+arrowhead_height), (end-dir_fac*arrowhead_length, y_extent)], edgecolor=edgecolor, facecolor=color, linewidth=linewidth, hatch=hatch, zorder=11+zorder_add, path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0 ax.add_patch(p1) if opts != None and 'label' in list(opts.keys()): if final_start > final_end: write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) else: write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) if final_start > final_end: return prev_end, final_start else: return prev_end, final_end def sbol_terminator (ax, type, num, start, end, prev_end, scale, linewidth, opts): """ Built-in SBOL terminator renderer. """ # Default options zorder_add = 0.0 color = (0,0,0) start_pad = 2.0 end_pad = 2.0 y_extent = 10.0 x_extent = 8.0 # Reset defaults if provided if opts != None: if 'zorder_add' in list(opts.keys()): zorder_add = opts['zorder_add'] if 'color' in list(opts.keys()): color = opts['color'] if 'start_pad' in list(opts.keys()): start_pad = opts['start_pad'] if 'end_pad' in list(opts.keys()): end_pad = opts['end_pad'] if 'y_extent' in list(opts.keys()): y_extent = opts['y_extent'] if 'x_extent' in list(opts.keys()): x_extent = opts['x_extent'] if 'linewidth' in list(opts.keys()): linewidth = opts['linewidth'] if 'scale' in list(opts.keys()): scale = opts['scale'] # Check direction add start padding dir_fac = 1.0 final_end = end final_start = prev_end if start > end: dir_fac = -1.0 start = prev_end+end_pad+x_extent end = prev_end+end_pad final_end = start+start_pad else: start = prev_end+start_pad end = start+x_extent final_end = end+end_pad # Draw the terminator symbol l1 = Line2D([start+dir_fac*(x_extent/2.0),start+dir_fac*(x_extent/2.0)],[0,dir_fac*y_extent], linewidth=linewidth, color=color, zorder=8+zorder_add) l2 = Line2D([start,start+(dir_fac*x_extent)],[dir_fac*y_extent,dir_fac*y_extent], linewidth=linewidth, color=color, zorder=9+zorder_add) ax.add_line(l1) ax.add_line(l2) if opts != None and 'label' in list(opts.keys()): if final_start > final_end: write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) else: write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) if final_start > final_end: return prev_end, final_start else: return prev_end, final_end def sbol_rbs (ax, type, num, start, end, prev_end, scale, linewidth, opts): """ Built-in SBOL ribosome binding site renderer. """ # Default options zorder_add = 0.0 color = (0.7,0.7,0.7) start_pad = 2.0 end_pad = 2.0 x_extent = 10.0 edgecolor = (0,0,0) # Reset defaults if provided if opts != None: if 'zorder_add' in list(opts.keys()): zorder_add = opts['zorder_add'] if 'color' in list(opts.keys()): color = opts['color'] if 'start_pad' in list(opts.keys()): start_pad = opts['start_pad'] if 'end_pad' in list(opts.keys()): end_pad = opts['end_pad'] if 'x_extent' in list(opts.keys()): x_extent = opts['x_extent'] if 'linewidth' in list(opts.keys()): linewidth = opts['linewidth'] if 'scale' in list(opts.keys()): scale = opts['scale'] if 'edge_color' in list(opts.keys()): edgecolor = opts['edge_color'] # Check direction add start padding dir_fac = 1.0 final_end = end final_start = prev_end rbs_center = (0,0) if start > end: start = prev_end+end_pad+x_extent end = prev_end+end_pad final_end = start+start_pad rbs_center = (end+((start-end)/2.0),0) w1 = Wedge(rbs_center, x_extent/2.0, 180, 360, linewidth=linewidth, facecolor=color, edgecolor=edgecolor, zorder=8+zorder_add) ax.add_patch(w1) else: start = prev_end+start_pad end = start+x_extent final_end = end+end_pad rbs_center = (start+((end-start)/2.0),0) w1 = Wedge(rbs_center, x_extent/2.0, 0, 180, linewidth=linewidth, facecolor=color, edgecolor=edgecolor, zorder=8+zorder_add) ax.add_patch(w1) if opts != None and 'label' in list(opts.keys()): if final_start > final_end: write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) else: write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) if final_start > final_end: return prev_end, final_start else: return prev_end, final_end def sbol_ribozyme (ax, type, num, start, end, prev_end, scale, linewidth, opts): """ Built-in SBOL ribozyme renderer. """ return stick_figure(ax,type,num,start,end,prev_end,scale,linewidth,opts) def stick_figure (ax, type, num, start, end, prev_end, scale, linewidth, opts): """ General function for drawing stick based parts (e.g., ribozyme and protease sites). """ # Default options zorder_add = 0.0 color = (0,0,0) start_pad = 2.0 end_pad = 2.0 x_extent = 5.0 y_extent = 10.0 linestyle = '-' linetype = ""; shapetype = ""; if(type == "Ribozyme"): linetype = 'dash' headgroup = 'O' elif(type == "Protease"): linetype = 'dash' headgroup = 'X' elif(type == "ProteinStability"): linetype = 'solid' headgroup = 'O' elif(type == "Ribonuclease"): linetype = 'solid' headgroup = 'X' # Reset defaults if provided if opts != None: if 'zorder_add' in list(opts.keys()): zorder_add = opts['zorder_add'] if 'color' in list(opts.keys()): color = opts['color'] if 'start_pad' in list(opts.keys()): start_pad = opts['start_pad'] if 'end_pad' in list(opts.keys()): end_pad = opts['end_pad'] if 'x_extent' in list(opts.keys()): x_extent = opts['x_extent'] if 'y_extent' in list(opts.keys()): y_extent = opts['y_extent'] if 'linestyle' in list(opts.keys()): linestyle = opts['linestyle'] if 'linewidth' in list(opts.keys()): linewidth = opts['linewidth'] if 'scale' in list(opts.keys()): scale = opts['scale'] # Check direction add start padding final_end = end final_start = prev_end if start > end: start = prev_end+end_pad+x_extent end = prev_end+end_pad final_end = start+start_pad rbs_center = (end+((start-end)/2.0),-y_extent) c1 = Circle(rbs_center, x_extent/2.0, linewidth=linewidth, edgecolor=color, facecolor=(1,1,1), zorder=8+zorder_add) x1 = Line2D([start,end],[-y_extent*1.25,-y_extent/1.5], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') x2 = Line2D([start,end],[-y_extent/1.5,-y_extent*1.25], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') dash1 = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,-y_extent/4], linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) dash2 = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[-y_extent/2,-y_extent+(x_extent/2.0)], linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) solidO = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,-y_extent+(x_extent/2.0)], linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) solidX = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,-y_extent], linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) if(headgroup == "O" and linetype == "dash"): ax.add_patch(c1) ax.add_line(dash1) ax.add_line(dash2) elif(headgroup == "X" and linetype == "dash"): ax.add_line(x1) ax.add_line(x2) ax.add_line(dash1) ax.add_line(dash2) elif(headgroup == "O" and linetype == "solid"): ax.add_patch(c1) ax.add_line(solidO) elif(headgroup == "X" and linetype == "solid"): ax.add_line(x1) ax.add_line(x2) ax.add_line(solidX) else: start = prev_end+start_pad end = start+x_extent final_end = end+end_pad rbs_center = (start+((end-start)/2.0),y_extent) c1 = Circle(rbs_center, x_extent/2.0, linewidth=linewidth, edgecolor=color, facecolor=(1,1,1), zorder=8+zorder_add) x1 = Line2D([start,end],[y_extent*1.25,y_extent/1.5], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') x2 = Line2D([start,end],[y_extent/1.5,y_extent*1.25], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') dash1 = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,y_extent/4], linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) dash2 = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[y_extent/2,y_extent-(x_extent/2.0)], linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) solidO = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,y_extent-(x_extent/2.0)], linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) solidX = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,y_extent], linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) if(headgroup == 'O' and linetype == 'dash'): ax.add_patch(c1) ax.add_line(dash1) ax.add_line(dash2) elif(headgroup == "X" and linetype == "dash"): ax.add_line(x1) ax.add_line(x2) ax.add_line(dash1) ax.add_line(dash2) elif(headgroup == "O" and linetype == "solid"): ax.add_patch(c1) ax.add_line(solidO) elif(headgroup == "X" and linetype == "solid"): ax.add_line(x1) ax.add_line(x2) ax.add_line(solidX) if opts != None and 'label' in list(opts.keys()): if final_start > final_end: write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) else: write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) if final_start > final_end: return prev_end, final_start else: return prev_end, final_end def sbol_stem_top (ax, type, num, start, end, prev_end, scale, linewidth, opts): """ General function for drawing stem-top parts (e.g., ribozyme and protease sites). """ # Default options zorder_add = 0.0 color = (0,0,0) start_pad = 2.0 end_pad = 2.0 x_extent = 5.0 y_extent = 10.0 linestyle = '-' shapetype = ""; if type in ["DNACleavageSite"]: stemtype = 'straight' toptype = 'X' elif type in ["RNACleavageSite", "Ribonuclease"]: stemtype = 'wavy' toptype = 'X' elif type in ["ProteinCleavageSite", "Protease"]: stemtype = 'loopy' toptype = 'X' elif type in ["DNALocation"]: stemtype = 'straight' toptype = 'O' elif type in ["RNALocation"]: stemtype = 'wavy' toptype = 'O' elif type in ["ProteinLocation"]: stemtype = 'loopy' toptype = 'O' elif type in ["DNAStability"]: stemtype = 'straight' toptype = 'P' elif type in ["RNAStability"]: stemtype = 'wavy' toptype = 'P' elif type in ["ProteinStability"]: stemtype = 'loopy' toptype = 'P' elif type in ["StemTop"]: stemtype = opts['stem'] toptype = opts['top'] # Reset defaults if provided if opts != None: if 'zorder_add' in list(opts.keys()): zorder_add = opts['zorder_add'] if 'color' in list(opts.keys()): color = opts['color'] if 'start_pad' in list(opts.keys()): start_pad = opts['start_pad'] if 'end_pad' in list(opts.keys()): end_pad = opts['end_pad'] if 'x_extent' in list(opts.keys()): x_extent = opts['x_extent'] if 'y_extent' in list(opts.keys()): y_extent = opts['y_extent'] if 'linestyle' in list(opts.keys()): linestyle = opts['linestyle'] if 'linewidth' in list(opts.keys()): linewidth = opts['linewidth'] if 'scale' in list(opts.keys()): scale = opts['scale'] # Check direction add start padding final_end = end final_start = prev_end if start > end: start = prev_end+end_pad+x_extent end = prev_end+end_pad final_end = start+start_pad # Patches and lines for top glyph # toptype=="X" x1 = Line2D([start,end],[-y_extent*1.25,-y_extent/1.25], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') x2 = Line2D([start,end],[-y_extent/1.25,-y_extent*1.25], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') # toptype=="O" center = (end+((start-end)/2.0),-y_extent) c1 = Circle(center, x_extent/2.0, linewidth=linewidth, edgecolor=color, facecolor=(1,1,1), zorder=12+zorder_add) # toptype=='P' pentagon_xy = [[end, -y_extent*1.25], [end, -y_extent*0.87], [(start + end)/2, -y_extent*0.68], [start, -y_extent*0.87], [start, -y_extent*1.25], ] p1 = Polygon(pentagon_xy, closed=True, linewidth=linewidth, edgecolor=color, facecolor=(1,1,1), zorder=12+zorder_add) # Lines for stem glyph # stemtype=='straight' straight_stem = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0, -y_extent], linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) # stemtype=='wavy' wave_height = y_extent/6 wave_start = (start + end)/2 wave_bezier_amp = x_extent*0.2 wave_bezier_dx = wave_bezier_amp*math.cos(math.pi/4) wave_bezier_dy = wave_bezier_amp*math.sin(math.pi/4) wavy_stem_path = Path(vertices=[[wave_start, 0], [wave_start - wave_bezier_dx, -wave_bezier_dy], [wave_start - wave_bezier_dx, -(wave_height - wave_bezier_dy)], [wave_start, -wave_height], [wave_start + wave_bezier_dx, -(wave_height + wave_bezier_dy)], [wave_start + wave_bezier_dx, -(2*wave_height - wave_bezier_dy)], [wave_start, -2*wave_height], [wave_start - wave_bezier_dx, -(2*wave_height + wave_bezier_dy)], [wave_start - wave_bezier_dx, -(3*wave_height - wave_bezier_dy)], [wave_start, -3*wave_height], [wave_start + wave_bezier_dx, -(3*wave_height + wave_bezier_dy)], [wave_start + wave_bezier_dx, -(4*wave_height - wave_bezier_dy)], [wave_start, -4*wave_height], [wave_start - wave_bezier_dx, -(4*wave_height + wave_bezier_dy)], [wave_start - wave_bezier_dx, -(5*wave_height - wave_bezier_dy)], [wave_start, -5*wave_height], [wave_start + wave_bezier_dx, -(5*wave_height + wave_bezier_dy)], [wave_start + wave_bezier_dx, -(6*wave_height - wave_bezier_dy)], [wave_start, -6*wave_height]], codes=[1, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4]) wavy_stem = PathPatch(wavy_stem_path, linewidth=linewidth, edgecolor=color, facecolor='none', zorder=8+zorder_add, linestyle=linestyle) # stemtype=='loopy' loop_offset_y = y_extent*0.015 loop_height = (y_extent - 2*loop_offset_y)/4 loop_start = (start + end)/2 + x_extent*0.05 loop_end = end + x_extent*0.15 loop_bezier_amp = y_extent*0.03 loop_stem_path = Path(vertices=[[loop_start, -loop_offset_y], [loop_start, -(loop_offset_y - loop_bezier_amp)], [loop_end, -(loop_offset_y - loop_bezier_amp)], [loop_end, -(loop_offset_y + loop_height*0.5)], [loop_end, -(loop_offset_y + loop_height + loop_bezier_amp)], [loop_start, -(loop_offset_y + loop_height + loop_bezier_amp)], [loop_start, -(loop_offset_y + loop_height)], [loop_start, -(loop_offset_y + loop_height - loop_bezier_amp)], [loop_end, -(loop_offset_y + loop_height - loop_bezier_amp)], [loop_end, -(loop_offset_y + loop_height*1.5)], [loop_end, -(loop_offset_y + loop_height*2 + loop_bezier_amp)], [loop_start, -(loop_offset_y + loop_height*2 + loop_bezier_amp)], [loop_start, -(loop_offset_y + loop_height*2)], [loop_start, -(loop_offset_y + loop_height*2 - loop_bezier_amp)], [loop_end, -(loop_offset_y + loop_height*2 - loop_bezier_amp)], [loop_end, -(loop_offset_y + loop_height*2.5)], [loop_end, -(loop_offset_y + loop_height*3 + loop_bezier_amp)], [loop_start, -(loop_offset_y + loop_height*3 + loop_bezier_amp)], [loop_start, -(loop_offset_y + loop_height*3)], [loop_start, -(loop_offset_y + loop_height*3 - loop_bezier_amp)], [loop_end, -(loop_offset_y + loop_height*3 - loop_bezier_amp)], [loop_end, -(loop_offset_y + loop_height*3.5)], [loop_end, -(loop_offset_y + loop_height*4 + loop_bezier_amp)], [loop_start, -(loop_offset_y + loop_height*4 + loop_bezier_amp)], [loop_start, -(loop_offset_y + loop_height*4)], ], codes=[1, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4]) loop_stem = PathPatch(loop_stem_path, linewidth=linewidth, edgecolor=color, facecolor='none', zorder=8+zorder_add, linestyle=linestyle) else: start = prev_end+start_pad end = start+x_extent final_end = end+end_pad # Patches and lines for top glyph # toptype=="X" x1 = Line2D([start,end],[y_extent*1.25,y_extent/1.25], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') x2 = Line2D([start,end],[y_extent/1.25,y_extent*1.25], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') # toptype=="O" center = (start+((end-start)/2.0),y_extent) c1 = Circle(center, x_extent/2.0, linewidth=linewidth, edgecolor=color, facecolor=(1,1,1), zorder=12+zorder_add) # toptype=='P' pentagon_xy = [[start, y_extent*1.25], [start, y_extent*0.87], [(start + end)/2, y_extent*0.68], [end, y_extent*0.87], [end, y_extent*1.25], ] p1 = Polygon(pentagon_xy, closed=True, linewidth=linewidth, edgecolor=color, facecolor=(1,1,1), zorder=12+zorder_add) # Lines for stem glyph # stemtype=='straight' straight_stem = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,y_extent], linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) # stemtype=='wavy' wave_height = y_extent/6 wave_start = (start + end)/2 wave_bezier_amp = x_extent*0.2 wave_bezier_dx = wave_bezier_amp*math.cos(math.pi/4) wave_bezier_dy = wave_bezier_amp*math.sin(math.pi/4) wavy_stem_path = Path(vertices=[[wave_start, 0], [wave_start + wave_bezier_dx, wave_bezier_dy], [wave_start + wave_bezier_dx, wave_height - wave_bezier_dy], [wave_start, wave_height], [wave_start - wave_bezier_dx, wave_height + wave_bezier_dy], [wave_start - wave_bezier_dx, 2*wave_height - wave_bezier_dy], [wave_start, 2*wave_height], [wave_start + wave_bezier_dx, 2*wave_height + wave_bezier_dy], [wave_start + wave_bezier_dx, 3*wave_height - wave_bezier_dy], [wave_start, 3*wave_height], [wave_start - wave_bezier_dx, 3*wave_height + wave_bezier_dy], [wave_start - wave_bezier_dx, 4*wave_height - wave_bezier_dy], [wave_start, 4*wave_height], [wave_start + wave_bezier_dx, 4*wave_height + wave_bezier_dy], [wave_start + wave_bezier_dx, 5*wave_height - wave_bezier_dy], [wave_start, 5*wave_height], [wave_start - wave_bezier_dx, 5*wave_height + wave_bezier_dy], [wave_start - wave_bezier_dx, 6*wave_height - wave_bezier_dy], [wave_start, 6*wave_height]], codes=[1, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4]) wavy_stem = PathPatch(wavy_stem_path, linewidth=linewidth, edgecolor=color, facecolor='none', zorder=8+zorder_add, linestyle=linestyle) # stemtype=='loopy' loop_offset_y = y_extent*0.015 loop_height = (y_extent - 2*loop_offset_y)/4 loop_start = (start + end)/2 - x_extent*0.05 loop_end = end - x_extent*0.15 loop_bezier_amp = y_extent*0.03 loop_stem_path = Path(vertices=[[loop_start, loop_offset_y], [loop_start, loop_offset_y - loop_bezier_amp], [loop_end, loop_offset_y - loop_bezier_amp], [loop_end, loop_offset_y + loop_height*0.5], [loop_end, loop_offset_y + loop_height + loop_bezier_amp], [loop_start, loop_offset_y + loop_height + loop_bezier_amp], [loop_start, loop_offset_y + loop_height], [loop_start, loop_offset_y + loop_height - loop_bezier_amp], [loop_end, loop_offset_y + loop_height - loop_bezier_amp], [loop_end, loop_offset_y + loop_height*1.5], [loop_end, loop_offset_y + loop_height*2 + loop_bezier_amp], [loop_start, loop_offset_y + loop_height*2 + loop_bezier_amp], [loop_start, loop_offset_y + loop_height*2], [loop_start, loop_offset_y + loop_height*2 - loop_bezier_amp], [loop_end, loop_offset_y + loop_height*2 - loop_bezier_amp], [loop_end, loop_offset_y + loop_height*2.5], [loop_end, loop_offset_y + loop_height*3 + loop_bezier_amp], [loop_start, loop_offset_y + loop_height*3 + loop_bezier_amp], [loop_start, loop_offset_y + loop_height*3], [loop_start, loop_offset_y + loop_height*3 - loop_bezier_amp], [loop_end, loop_offset_y + loop_height*3 - loop_bezier_amp], [loop_end, loop_offset_y + loop_height*3.5], [loop_end, loop_offset_y + loop_height*4 + loop_bezier_amp], [loop_start, loop_offset_y + loop_height*4 + loop_bezier_amp], [loop_start, loop_offset_y + loop_height*4], ], codes=[1, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4]) loop_stem = PathPatch(loop_stem_path, linewidth=linewidth, edgecolor=color, facecolor='none', zorder=8+zorder_add, linestyle=linestyle) # Add stem patches and/or lines if stemtype == 'straight': ax.add_line(straight_stem) elif stemtype == 'wavy': ax.add_line(wavy_stem) elif stemtype == 'loopy': ax.add_line(loop_stem) # Add top patches and/or lines if toptype == 'O': ax.add_patch(c1) elif toptype == 'X': ax.add_line(x1) ax.add_line(x2) elif toptype == 'P': ax.add_patch(p1) if opts != None and 'label' in list(opts.keys()): if final_start > final_end: write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) else: write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) if final_start > final_end: return prev_end, final_start else: return prev_end, final_end def sbol_scar (ax, type, num, start, end, prev_end, scale, linewidth, opts): """ Built-in SBOL scar renderer. """ # Default options zorder_add = 0.0 color = (0,0,0) start_pad = 2.0 end_pad = 2.0 x_extent = 6.0 y_extent = 1.0 linestyle = '-' # Reset defaults if provided if opts != None: if 'zorder_add' in list(opts.keys()): zorder_add = opts['zorder_add'] if 'color' in list(opts.keys()): color = opts['color'] if 'start_pad' in list(opts.keys()): start_pad = opts['start_pad'] if 'end_pad' in list(opts.keys()): end_pad = opts['end_pad'] if 'x_extent' in list(opts.keys()): x_extent = opts['x_extent'] if 'y_extent' in list(opts.keys()): y_extent = opts['y_extent'] if 'linestyle' in list(opts.keys()): linestyle = opts['linestyle'] if 'linewidth' in list(opts.keys()): linewidth = opts['linewidth'] if 'scale' in list(opts.keys()): scale = opts['scale'] # Check direction add start padding final_end = end final_start = prev_end start = prev_end+start_pad end = start+x_extent final_end = end+end_pad l_top = Line2D([start,start+x_extent],[y_extent,y_extent], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) l_bottom = Line2D([start,start+x_extent],[-1*y_extent,-1*y_extent], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) #white rectangle overlays backbone line p1 = Polygon([(start, y_extent), (start, -y_extent), (start+x_extent, -y_extent), (start+x_extent, y_extent)], edgecolor=(1,1,1), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) ax.add_patch(p1) ax.add_line(l_top) ax.add_line(l_bottom) if opts != None and 'label' in list(opts.keys()): if final_start > final_end: write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) else: write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) if final_start > final_end: return prev_end, final_start else: return prev_end, final_end def sbol_empty_space (ax, type, num, start, end, prev_end, scale, linewidth, opts): """ Built-in empty space renderer. """ # Default options zorder_add = 0.0 x_extent = 12.0 # Reset defaults if provided if opts != None: if 'zorder_add' in list(opts.keys()): zorder_add = opts['zorder_add'] if 'x_extent' in list(opts.keys()): x_extent = opts['x_extent'] # Check direction add start padding final_start = prev_end final_end = final_start+x_extent if opts != None and 'label' in list(opts.keys()): if final_start > final_end: write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) else: write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) if final_start > final_end: return prev_end, final_start else: return prev_end, final_end def sbol_5_overhang (ax, type, num, start, end, prev_end, scale, linewidth, opts): """ Built-in SBOL 5' overhang renderer. """ # Default options zorder_add = 0.0 color = (0,0,0) start_pad = 0.0 end_pad = 2.0 x_extent = 6.0 y_extent = 1.0 linestyle = '-' # Reset defaults if provided if opts != None: if 'zorder_add' in list(opts.keys()): zorder_add = opts['zorder_add'] if 'color' in list(opts.keys()): color = opts['color'] if 'start_pad' in list(opts.keys()): start_pad = opts['start_pad'] if 'end_pad' in list(opts.keys()): end_pad = opts['end_pad'] if 'x_extent' in list(opts.keys()): x_extent = opts['x_extent'] if 'y_extent' in list(opts.keys()): y_extent = opts['y_extent'] if 'linestyle' in list(opts.keys()): linestyle = opts['linestyle'] if 'linewidth' in list(opts.keys()): linewidth = opts['linewidth'] if 'scale' in list(opts.keys()): scale = opts['scale'] # Check direction add start padding final_end = end final_start = prev_end start = prev_end+start_pad end = start+x_extent final_end = end+end_pad l_top = Line2D([start,start+x_extent],[y_extent,y_extent], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) l_bottom = Line2D([start+(x_extent/2.0),start+x_extent],[-1*y_extent,-1*y_extent], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) #white rectangle overlays backbone line p1 = Polygon([(start, y_extent), (start, -y_extent), (start+x_extent, -y_extent), (start+x_extent, y_extent)], edgecolor=(1,1,1), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) ax.add_patch(p1) ax.add_line(l_top) ax.add_line(l_bottom) if opts != None and 'label' in list(opts.keys()): if final_start > final_end: write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) else: write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) if final_start > final_end: return prev_end, final_start else: return prev_end, final_end def sbol_3_overhang (ax, type, num, start, end, prev_end, scale, linewidth, opts): """ Built-in SBOL 3' overhang renderer. """ # Default options zorder_add = 0.0 color = (0,0,0) start_pad = 2.0 end_pad = 0.0 x_extent = 6.0 y_extent = 1.0 linestyle = '-' # Reset defaults if provided if opts != None: if 'zorder_add' in list(opts.keys()): zorder_add = opts['zorder_add'] if 'color' in list(opts.keys()): color = opts['color'] if 'start_pad' in list(opts.keys()): start_pad = opts['start_pad'] if 'end_pad' in list(opts.keys()): end_pad = opts['end_pad'] if 'x_extent' in list(opts.keys()): x_extent = opts['x_extent'] if 'y_extent' in list(opts.keys()): y_extent = opts['y_extent'] if 'linestyle' in list(opts.keys()): linestyle = opts['linestyle'] if 'linewidth' in list(opts.keys()): linewidth = opts['linewidth'] if 'scale' in list(opts.keys()): scale = opts['scale'] # Check direction add start padding final_end = end final_start = prev_end start = prev_end+start_pad end = start+x_extent final_end = end+end_pad l_top = Line2D([start,start+x_extent],[y_extent,y_extent], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) l_bottom = Line2D([start,start+(x_extent/2.0)],[-1*y_extent,-1*y_extent], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) #white rectangle overlays backbone line p1 = Polygon([(start, y_extent), (start, -y_extent), (start+x_extent, -y_extent), (start+x_extent, y_extent)], edgecolor=(1,1,1), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) ax.add_patch(p1) ax.add_line(l_top) ax.add_line(l_bottom) if opts != None and 'label' in list(opts.keys()): if final_start > final_end: write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) else: write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) if final_start > final_end: return prev_end, final_start else: return prev_end, final_end def sbol_blunt_restriction_site (ax, type, num, start, end, prev_end, scale, linewidth, opts): """ Built-in SBOL blunt-end restriction site renderer. """ # Default options zorder_add = 0.0 color = (0,0,0) start_pad = 2.0 end_pad = 2.0 y_extent = 4.0 x_extent = 1.5 site_space = 1.5 linestyle = '-' # Reset defaults if provided if opts != None: if 'zorder_add' in list(opts.keys()): zorder_add = opts['zorder_add'] if 'color' in list(opts.keys()): color = opts['color'] if 'site_space' in list(opts.keys()): site_space = opts['site_space'] if 'start_pad' in list(opts.keys()): start_pad = opts['start_pad'] if 'end_pad' in list(opts.keys()): end_pad = opts['end_pad'] if 'x_extent' in list(opts.keys()): x_extent = opts['x_extent'] if 'y_extent' in list(opts.keys()): y_extent = opts['y_extent'] if 'linestyle' in list(opts.keys()): linestyle = opts['linestyle'] if 'linewidth' in list(opts.keys()): linewidth = opts['linewidth'] if 'scale' in list(opts.keys()): scale = opts['scale'] # Direction is meaningless for this part => start is always < end if start > end: temp_end = end end = start start = temp_end # Check direction add start padding final_end = end final_start = prev_end start = prev_end+start_pad end = start+x_extent+site_space+x_extent final_end = end+end_pad l1 = Line2D([start+x_extent,start+x_extent],[-y_extent,y_extent], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) l1_top = Line2D([start,start+x_extent],[y_extent,y_extent], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) l1_bottom = Line2D([start,start+x_extent],[-y_extent,-y_extent], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) l2 = Line2D([end-x_extent,end-x_extent],[-y_extent,y_extent], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) l2_top = Line2D([end,end-x_extent],[y_extent,y_extent], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) l2_bottom = Line2D([end,end-x_extent],[-y_extent,-y_extent], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) ax.add_line(l1) ax.add_line(l1_top) ax.add_line(l1_bottom) ax.add_line(l2) ax.add_line(l2_top) ax.add_line(l2_bottom) if opts != None and 'label' in list(opts.keys()): write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) return final_start, final_end def sbol_primer_binding_site (ax, type, num, start, end, prev_end, scale, linewidth, opts): """ Built-in SBOL primer binding site renderer. """ # Default options zorder_add = 0.0 color = (0,0,0) start_pad = 2.0 end_pad = 2.0 y_extent = 2.0 y_offset = 1.5 x_extent = 8.0 arrowhead_length = 2.0 linestyle = '-' # Reset defaults if provided if opts != None: if 'zorder_add' in list(opts.keys()): zorder_add = opts['zorder_add'] if 'color' in list(opts.keys()): color = opts['color'] if 'start_pad' in list(opts.keys()): start_pad = opts['start_pad'] if 'end_pad' in list(opts.keys()): end_pad = opts['end_pad'] if 'x_extent' in list(opts.keys()): x_extent = opts['x_extent'] if 'y_extent' in list(opts.keys()): y_extent = opts['y_extent'] if 'y_offset' in list(opts.keys()): y_offset = opts['y_offset'] if 'arrowhead_length' in list(opts.keys()): arrowhead_length = opts['arrowhead_length'] if 'linestyle' in list(opts.keys()): linestyle = opts['linestyle'] if 'linewidth' in list(opts.keys()): linewidth = opts['linewidth'] if 'scale' in list(opts.keys()): scale = opts['scale'] direction = 'F' if start > end: direction = 'R' temp_end = end end = start start = temp_end final_end = prev_end final_start = prev_end if direction == 'F': final_start = prev_end start = prev_end+start_pad end = start+x_extent final_end = end+end_pad else: final_start = prev_end end = prev_end+end_pad start = end+x_extent final_start = start+start_pad if direction == 'F': verts = [(start, y_offset), (end, y_offset), (end-arrowhead_length, y_offset+y_extent)] codes = [Path.MOVETO, Path.LINETO, Path.LINETO] path = Path(verts, codes) patch = PathPatch(path, lw=linewidth, edgecolor=color, facecolor=(1,1,1), zorder=1+zorder_add) ax.add_patch(patch) else: verts = [(start, -y_offset), (end, -y_offset), (end+arrowhead_length, -y_offset-y_extent)] codes = [Path.MOVETO, Path.LINETO, Path.LINETO] path = Path(verts, codes) patch = PathPatch(path, lw=linewidth, edgecolor=color, facecolor=(1,1,1), zorder=1+zorder_add) ax.add_patch(patch) if opts != None and 'label' in list(opts.keys()): if start > end: write_label(ax, opts['label'], end+((start-end)/2.0), opts=opts) else: write_label(ax, opts['label'], start+((end-start)/2.0), opts=opts) if final_start > final_end: return prev_end, final_start else: return prev_end, final_end def sbol_5_sticky_restriction_site (ax, type, num, start, end, prev_end, scale, linewidth, opts): """ Built-in SBOL 5' sticky-end restriction site renderer. """ # Default options zorder_add = 0.0 color = (0,0,0) start_pad = 2.0 end_pad = 2.0 y_extent = 4.0 x_extent = 8.0 end_space = 1.0 linestyle = '-' # Reset defaults if provided if opts != None: if 'zorder_add' in list(opts.keys()): zorder_add = opts['zorder_add'] if 'color' in list(opts.keys()): color = opts['color'] if 'end_space' in list(opts.keys()): end_space = opts['end_space'] if 'start_pad' in list(opts.keys()): start_pad = opts['start_pad'] if 'end_pad' in list(opts.keys()): end_pad = opts['end_pad'] if 'x_extent' in list(opts.keys()): x_extent = opts['x_extent'] if 'y_extent' in list(opts.keys()): y_extent = opts['y_extent'] if 'linestyle' in list(opts.keys()): linestyle = opts['linestyle'] if 'linewidth' in list(opts.keys()): linewidth = opts['linewidth'] if 'scale' in list(opts.keys()): scale = opts['scale'] # Direction is meaningless for this part => start is always < end if start > end: temp_end = end end = start start = temp_end # Check direction add start padding final_end = end final_start = prev_end start = prev_end+start_pad end = start+end_space+x_extent+end_space final_end = end+end_pad l1 = Line2D([start+end_space,start+end_space+x_extent],[0,0], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) l1_top = Line2D([start+end_space,start+end_space],[0,y_extent], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) l1_bottom = Line2D([start+end_space+x_extent,start+end_space+x_extent],[0,-y_extent], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) ax.add_line(l1) ax.add_line(l1_top) ax.add_line(l1_bottom) # White rectangle overlays backbone line p1 = Polygon([(start, y_extent), (start, -y_extent), (end, -y_extent), (end, y_extent)], edgecolor=(1,1,1), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) ax.add_patch(p1) if opts != None and 'label' in list(opts.keys()): write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) return final_start, final_end def sbol_3_sticky_restriction_site (ax, type, num, start, end, prev_end, scale, linewidth, opts): """ Built-in SBOL 3' sticky-end restriction site renderer. """ # Default options zorder_add = 0.0 color = (0,0,0) start_pad = 2.0 end_pad = 2.0 y_extent = 4.0 x_extent = 8.0 end_space = 1.0 linestyle = '-' # Reset defaults if provided if opts != None: if 'zorder_add' in list(opts.keys()): zorder_add = opts['zorder_add'] if 'color' in list(opts.keys()): color = opts['color'] if 'end_space' in list(opts.keys()): end_space = opts['end_space'] if 'start_pad' in list(opts.keys()): start_pad = opts['start_pad'] if 'end_pad' in list(opts.keys()): end_pad = opts['end_pad'] if 'x_extent' in list(opts.keys()): x_extent = opts['x_extent'] if 'y_extent' in list(opts.keys()): y_extent = opts['y_extent'] if 'linestyle' in list(opts.keys()): linestyle = opts['linestyle'] if 'linewidth' in list(opts.keys()): linewidth = opts['linewidth'] if 'scale' in list(opts.keys()): scale = opts['scale'] # Direction is meaningless for this part => start is always < end if start > end: temp_end = end end = start start = temp_end # Check direction add start padding final_end = end final_start = prev_end start = prev_end+start_pad end = start+end_space+x_extent+end_space final_end = end+end_pad l1 = Line2D([start+end_space,start+end_space+x_extent],[0,0], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) l1_top = Line2D([start+end_space+x_extent,start+end_space+x_extent],[0,y_extent], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) l1_bottom = Line2D([start+end_space,start+end_space],[0,-y_extent], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) ax.add_line(l1) ax.add_line(l1_top) ax.add_line(l1_bottom) # White rectangle overlays backbone line p1 = Polygon([(start, y_extent), (start, -y_extent), (end, -y_extent), (end, y_extent)], edgecolor=(1,1,1), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) ax.add_patch(p1) if opts != None and 'label' in list(opts.keys()): write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) return final_start, final_end def sbol_user_defined (ax, type, num, start, end, prev_end, scale, linewidth, opts): """ Built-in SBOL user-defined element renderer. """ # Default options zorder_add = 0.0 color = (0,0,0) start_pad = 2.0 end_pad = 2.0 x_extent = 12.0 y_extent = 3.0 linestyle = '-' fill_color = (1,1,1) # Reset defaults if provided if opts != None: if 'zorder_add' in list(opts.keys()): zorder_add = opts['zorder_add'] if 'color' in list(opts.keys()): color = opts['color'] if 'fill_color' in list(opts.keys()): fill_color = opts['fill_color'] if 'start_pad' in list(opts.keys()): start_pad = opts['start_pad'] if 'end_pad' in list(opts.keys()): end_pad = opts['end_pad'] if 'x_extent' in list(opts.keys()): x_extent = opts['x_extent'] if 'y_extent' in list(opts.keys()): y_extent = opts['y_extent'] if 'linestyle' in list(opts.keys()): linestyle = opts['linestyle'] if 'linewidth' in list(opts.keys()): linewidth = opts['linewidth'] if 'scale' in list(opts.keys()): scale = opts['scale'] # Check direction add start padding final_end = end final_start = prev_end start = prev_end+start_pad end = start+x_extent final_end = end+end_pad #white rectangle overlays backbone line p1 = Polygon([(start, y_extent), (start, -y_extent), (start+x_extent, -y_extent), (start+x_extent, y_extent)], edgecolor=color, facecolor=fill_color, linewidth=linewidth, zorder=11+zorder_add, path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) ax.add_patch(p1) if opts != None and 'label' in list(opts.keys()): if final_start > final_end: write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) else: write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) if final_start > final_end: return prev_end, final_start else: return prev_end, final_end def sbol_signature (ax, type, num, start, end, prev_end, scale, linewidth, opts): """ Built-in SBOL signature renderer. """ # Default options zorder_add = 0.0 color = (0,0,0) start_pad = 2.0 end_pad = 2.0 x_extent = 12.0 y_extent = 3.0 linestyle = '-' fill_color = (1,1,1) # Reset defaults if provided if opts != None: if 'zorder_add' in list(opts.keys()): zorder_add = opts['zorder_add'] if 'color' in list(opts.keys()): color = opts['color'] if 'fill_color' in list(opts.keys()): fill_color = opts['fill_color'] if 'start_pad' in list(opts.keys()): start_pad = opts['start_pad'] if 'end_pad' in list(opts.keys()): end_pad = opts['end_pad'] if 'x_extent' in list(opts.keys()): x_extent = opts['x_extent'] if 'y_extent' in list(opts.keys()): y_extent = opts['y_extent'] if 'linestyle' in list(opts.keys()): linestyle = opts['linestyle'] if 'linewidth' in list(opts.keys()): linewidth = opts['linewidth'] if 'scale' in list(opts.keys()): scale = opts['scale'] direction = 'F' if start > end: direction = 'R' temp_end = end end = start start = temp_end final_end = prev_end final_start = prev_end if direction == 'F': final_start = prev_end start = prev_end+start_pad end = start+x_extent final_end = end+end_pad else: final_start = prev_end end = prev_end+end_pad start = end+x_extent final_start = start+start_pad indent_fac = (y_extent*2.0)*0.3 cross_width = (y_extent*2.0)*0.7 if direction == 'F': p1 = Polygon([(start, y_extent), (start, -y_extent), (start+x_extent, -y_extent), (start+x_extent, y_extent)], edgecolor=color, facecolor=fill_color, linewidth=linewidth, zorder=11+zorder_add, path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) ax.add_patch(p1) top1x = start + indent_fac top1y = y_extent - indent_fac top2x = start + cross_width top2y = y_extent - indent_fac bot1x = start + indent_fac bot1y = -y_extent + indent_fac bot2x = start + cross_width bot2y = -y_extent + indent_fac lcross1 = Line2D([top1x,bot2x],[top1y,bot2y], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) lcross2 = Line2D([top2x,bot1x],[top2y,bot1y], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) ax.add_line(lcross1) ax.add_line(lcross2) lsign = Line2D([bot2x+indent_fac,end-indent_fac],[-y_extent+indent_fac,-y_extent+indent_fac], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) ax.add_line(lsign) else: p1 = Polygon([(start, y_extent), (start, -y_extent), (start-x_extent, -y_extent), (start-x_extent, y_extent)], edgecolor=color, facecolor=fill_color, linewidth=linewidth, zorder=11+zorder_add, path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) ax.add_patch(p1) top1x = start - indent_fac top1y = y_extent - indent_fac top2x = start - cross_width top2y = y_extent - indent_fac bot1x = start - indent_fac bot1y = -y_extent + indent_fac bot2x = start - cross_width bot2y = -y_extent + indent_fac lcross1 = Line2D([top1x,bot2x],[top1y,bot2y], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) lcross2 = Line2D([top2x,bot1x],[top2y,bot1y], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) ax.add_line(lcross1) ax.add_line(lcross2) lsign = Line2D([bot2x-indent_fac,end+indent_fac],[y_extent-indent_fac,y_extent-indent_fac], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) ax.add_line(lsign) if opts != None and 'label' in list(opts.keys()): if final_start > final_end: write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) else: write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) if final_start > final_end: return prev_end, final_start else: return prev_end, final_end def sbol_restriction_site (ax, type, num, start, end, prev_end, scale, linewidth, opts): """ Built-in SBOL restriction site renderer. """ # Default options zorder_add = 0.0 color = (0,0,0) start_pad = 2.0 end_pad = 2.0 y_extent = 4.0 linestyle = '-' # Reset defaults if provided if opts != None: if 'zorder_add' in list(opts.keys()): zorder_add = opts['zorder_add'] if 'color' in list(opts.keys()): color = opts['color'] if 'start_pad' in list(opts.keys()): start_pad = opts['start_pad'] if 'end_pad' in list(opts.keys()): end_pad = opts['end_pad'] if 'y_extent' in list(opts.keys()): y_extent = opts['y_extent'] if 'linestyle' in list(opts.keys()): linestyle = opts['linestyle'] if 'linewidth' in list(opts.keys()): linewidth = opts['linewidth'] if 'scale' in list(opts.keys()): scale = opts['scale'] # Check direction add start padding final_end = end final_start = prev_end start = prev_end+start_pad end = start + linewidth final_end = end+end_pad l1 = Line2D([start,start],[-y_extent,y_extent], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) ax.add_line(l1) if opts != None and 'label' in list(opts.keys()): if final_start > final_end: write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) else: write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) if final_start > final_end: return prev_end, final_start else: return prev_end, final_end def sbol_spacer (ax, type, num, start, end, prev_end, scale, linewidth, opts): """ Built-in SBOL spacer renderer. """ # Default options zorder_add = 0.0 color = (1,1,1) edgecolor = (0,0,0) start_pad = 2.0 end_pad = 2.0 x_extent = 6.0 y_extent = 6.0 linestyle = '-' # Reset defaults if provided if opts != None: if 'zorder_add' in list(opts.keys()): zorder_add = opts['zorder_add'] if 'edgecolor' in list(opts.keys()): edgecolor = opts['edgecolor'] if 'color' in list(opts.keys()): color = opts['color'] if 'start_pad' in list(opts.keys()): start_pad = opts['start_pad'] if 'end_pad' in list(opts.keys()): end_pad = opts['end_pad'] if 'x_extent' in list(opts.keys()): x_extent = opts['x_extent'] if 'y_extent' in list(opts.keys()): y_extent = opts['y_extent'] if 'linestyle' in list(opts.keys()): linestyle = opts['linestyle'] if 'linewidth' in list(opts.keys()): linewidth = opts['linewidth'] if 'scale' in list(opts.keys()): scale = opts['scale'] # Check direction add start padding final_end = end final_start = prev_end start = prev_end+start_pad end = start+x_extent final_end = end+end_pad rbs_center = (start+((end-start)/2.0),0) center_x = start+(end-start)/2.0 radius = x_extent/2 delta = radius - 0.5 * radius * math.sqrt(2) l1 = Line2D([start+delta,end-delta],[radius-delta,-1*radius+delta], linewidth=linewidth, color=edgecolor, zorder=12+zorder_add, linestyle=linestyle) l2 = Line2D([start+delta,end-delta],[-1*radius+delta,radius-delta], linewidth=linewidth, color=edgecolor, zorder=12+zorder_add, linestyle=linestyle) c1 = Circle(rbs_center, x_extent/2.0, linewidth=linewidth, edgecolor=edgecolor, facecolor=color, zorder=12+zorder_add) ax.add_patch(c1) ax.add_line(l1) ax.add_line(l2) if opts != None and 'label' in list(opts.keys()): if final_start > final_end: write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) else: write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) if final_start > final_end: return prev_end, final_start else: return prev_end, final_end def sbol_origin (ax, type, num, start, end, prev_end, scale, linewidth, opts): """ Built-in SBOL origin renderer. """ # Default options zorder_add = 0.0 color = (0,0,0) start_pad = 2.0 end_pad = 2.0 x_extent = 10.0 y_extent = 10.0 linestyle = '-' # Reset defaults if provided if opts != None: if 'zorder_add' in list(opts.keys()): zorder_add = opts['zorder_add'] if 'color' in list(opts.keys()): color = opts['color'] if 'start_pad' in list(opts.keys()): start_pad = opts['start_pad'] if 'end_pad' in list(opts.keys()): end_pad = opts['end_pad'] if 'x_extent' in list(opts.keys()): x_extent = opts['x_extent'] if 'y_extent' in list(opts.keys()): y_extent = opts['y_extent'] if 'linestyle' in list(opts.keys()): linestyle = opts['linestyle'] if 'linewidth' in list(opts.keys()): linewidth = opts['linewidth'] if 'scale' in list(opts.keys()): scale = opts['scale'] # Check direction add start padding final_end = end final_start = prev_end start = prev_end+start_pad end = start+x_extent final_end = end+end_pad ori_center = (start+((end-start)/2.0),0) c1 = Circle(ori_center, x_extent/2.0, linewidth=linewidth, edgecolor=color, facecolor=(1,1,1), zorder=12+zorder_add) ax.add_patch(c1) if opts != None and 'label' in list(opts.keys()): if final_start > final_end: write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) else: write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) if final_start > final_end: return prev_end, final_start else: return prev_end, final_end def sbol_operator (ax, type, num, start, end, prev_end, scale, linewidth, opts): """ Built-in SBOL operator renderer. """ # Default options zorder_add = 0.0 color = (0,0,0) start_pad = 2.0 end_pad = 2.0 x_extent = 6.0 y_extent = 3.0 linestyle = '-' # Reset defaults if provided if opts != None: if 'zorder_add' in list(opts.keys()): zorder_add = opts['zorder_add'] if 'color' in list(opts.keys()): color = opts['color'] if 'start_pad' in list(opts.keys()): start_pad = opts['start_pad'] if 'end_pad' in list(opts.keys()): end_pad = opts['end_pad'] if 'x_extent' in list(opts.keys()): x_extent = opts['x_extent'] if 'y_extent' in list(opts.keys()): y_extent = opts['y_extent'] if 'linestyle' in list(opts.keys()): linestyle = opts['linestyle'] if 'linewidth' in list(opts.keys()): linewidth = opts['linewidth'] if 'scale' in list(opts.keys()): scale = opts['scale'] # Check direction add start padding final_end = end final_start = prev_end start = prev_end+start_pad end = start+x_extent final_end = end+end_pad #white rectangle overlays backbone line p1 = Polygon([(start, y_extent), (start, -y_extent), (start+x_extent, -y_extent), (start+x_extent, y_extent)], edgecolor=(0,0,0), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) ax.add_patch(p1) if opts != None and 'label' in list(opts.keys()): if final_start > final_end: write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) else: write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) if final_start > final_end: return prev_end, final_start else: return prev_end, final_end def sbol_insulator (ax, type, num, start, end, prev_end, scale, linewidth, opts): """ Built-in SBOL insulator renderer. """ # Default options zorder_add = 0.0 color = (0,0,0) start_pad = 2.0 end_pad = 2.0 x_extent = 8.0 y_extent = 4.0 linestyle = '-' # Reset defaults if provided if opts != None: if 'zorder_add' in list(opts.keys()): zorder_add = opts['zorder_add'] if 'color' in list(opts.keys()): color = opts['color'] if 'start_pad' in list(opts.keys()): start_pad = opts['start_pad'] if 'end_pad' in list(opts.keys()): end_pad = opts['end_pad'] if 'x_extent' in list(opts.keys()): x_extent = opts['x_extent'] if 'y_extent' in list(opts.keys()): y_extent = opts['y_extent'] if 'linestyle' in list(opts.keys()): linestyle = opts['linestyle'] if 'linewidth' in list(opts.keys()): linewidth = opts['linewidth'] if 'scale' in list(opts.keys()): scale = opts['scale'] # Check direction add start padding final_end = end final_start = prev_end start = prev_end+start_pad end = start+x_extent final_end = end+end_pad #white rectangle overlays backbone line p1 = Polygon([(start, y_extent), (start, -y_extent), (start+x_extent, -y_extent), (start+x_extent, y_extent)], edgecolor=(0,0,0), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) bits = 5.0 gap_size = ((end-start)/bits) x_inset_start = start + gap_size x_inset_end = start + ((bits-1.0)*gap_size) # Inside rectangle p2 = Polygon([(x_inset_start, y_extent-gap_size), (x_inset_start, -y_extent+gap_size), (x_inset_end, -y_extent+gap_size), (x_inset_end, y_extent-gap_size)], edgecolor=(0,0,0), facecolor=(1,1,1), linewidth=linewidth, zorder=12+zorder_add, path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) ax.add_patch(p1) ax.add_patch(p2) if opts != None and 'label' in list(opts.keys()): if final_start > final_end: write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) else: write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) if final_start > final_end: return prev_end, final_start else: return prev_end, final_end # Not used at present def temporary_repressor (ax, type, num, start, end, prev_end, scale, linewidth, opts): # Default options zorder_add = 0.0 color = (0.7,0.7,0.7) start_pad = 2.0 end_pad = 2.0 y_extent = 10 x_extent = 10 arrowhead_height = 2 arrowhead_length = 4 # Reset defaults if provided if opts != None: if 'zorder_add' in list(opts.keys()): zorder_add = opts['zorder_add'] if 'color' in list(opts.keys()): color = opts['color'] if 'start_pad' in list(opts.keys()): start_pad = opts['start_pad'] if 'end_pad' in list(opts.keys()): end_pad = opts['end_pad'] if 'y_extent' in list(opts.keys()): y_extent = opts['y_extent'] if 'x_extent' in list(opts.keys()): x_extent = opts['x_extent'] if 'arrowhead_height' in list(opts.keys()): arrowhead_height = opts['arrowhead_height'] if 'arrowhead_length' in list(opts.keys()): arrowhead_length = opts['arrowhead_length'] if 'linewidth' in list(opts.keys()): linewidth = opts['linewidth'] if 'scale' in list(opts.keys()): scale = opts['scale'] # Check direction add start padding dir_fac = 1.0 final_end = end final_start = prev_end if start > end: dir_fac = -1.0 start = prev_end+end_pad+x_extent end = prev_end+end_pad final_end = start+start_pad else: start = prev_end+start_pad end = start+x_extent final_end = end+end_pad e1center = (start+((end-start)/2.0),0) e2center = (start+((end-start)/2.0)+x_extent/3.75,0) e1 = Ellipse(e1center, y_extent/2, y_extent, edgecolor=(0,0,0), facecolor=color, linewidth=linewidth, fill=True, zorder=12+zorder_add) e2 = Ellipse(e2center, y_extent/2, y_extent, edgecolor=(0,0,0), facecolor=color, linewidth=linewidth, fill=True, zorder=11+zorder_add) ax.add_patch(e1) ax.add_patch(e2) if final_start > final_end: return prev_end, final_start else: return prev_end, final_end ############################################################################### # Regulation renderers ############################################################################### def repress (ax, type, num, from_part, to_part, scale, linewidth, arc_height_index, opts): """ Standard repression regulation renderer. """ regulation(ax, type, num, from_part, to_part, scale, linewidth, arc_height_index, opts) def induce (ax, type, num, from_part, to_part, scale, linewidth, arc_height_index, opts): """ Standard induction regulation renderer. """ regulation(ax, type, num, from_part, to_part, scale, linewidth, arc_height_index, opts) def connect (ax, type, num, from_part, to_part, scale, linewidth, arc_height_index, opts): """ Standard induction regulation renderer. """ regulation(ax, type, num, from_part, to_part, scale, linewidth, arc_height_index, opts) def regulation (ax, type, num, from_part, to_part, scale, linewidth, arc_height_index, opts): """ General function for drawing regulation arcs. """ color = (0.0,0.0,0.0) arrowhead_length = 3 linestyle = '-' arcHeightConst = 15 arcHeightSpacing = 5 arcHeightStart = 10 arcHeight = arcHeightConst + arc_height_index*arcHeightSpacing arcHeightEnd = arcHeightStart*1.5 arc_start_x_offset = 0.0 arc_end_x_offset = 0.0 # Reset defaults if provided if opts != None: if 'arrowhead_length' in list(opts.keys()): arrowhead_length = opts['arrowhead_length'] if 'linestyle' in list(opts.keys()): linestyle = opts['linestyle'] if 'linewidth' in list(opts.keys()): linewidth = opts['linewidth'] if 'color' in list(opts.keys()): color = opts['color'] if 'arc_height' in list(opts.keys()): arcHeight = opts['arc_height'] if 'arc_height_const' in list(opts.keys()): arcHeightConst = opts['arc_height_const'] if 'arc_height_spacing' in list(opts.keys()): arcHeightSpacing = opts['arc_height_spacing'] if 'arc_height_start' in list(opts.keys()): arcHeightStart = opts['arc_height_start'] if 'arc_height_end' in list(opts.keys()): arcHeightEnd = opts['arc_height_end'] if 'arc_start_x_offset' in list(opts.keys()): arc_start_x_offset = opts['arc_start_x_offset'] if 'arc_end_x_offset' in list(opts.keys()): arc_end_x_offset = opts['arc_end_x_offset'] if opts == None or 'arc_height' not in list(opts.keys()): arcHeight = arcHeightConst + arc_height_index*arcHeightSpacing startHeight = arcHeightStart start = ((from_part['start'] + from_part['end']) / 2) + arc_start_x_offset end = ((to_part['start'] + to_part['end']) / 2) + arc_end_x_offset top = arcHeight; base = startHeight; indHeight = arrowhead_length corr = linewidth if to_part['fwd'] == False: base = -1*startHeight arcHeightEnd = -arcHeightEnd top = -1*arcHeight indHeight = -1*arrowhead_length corr *= -1 line_away = Line2D([start,start],[base,top], linewidth=linewidth, color=color, zorder=12, linestyle=linestyle) line_across = Line2D([start,end],[top,top], linewidth=linewidth, color=color, zorder=12, linestyle=linestyle) line_toward = Line2D([end,end],[top,arcHeightEnd+corr], linewidth=linewidth, color=color, zorder=12, linestyle=linestyle) line_rep = Line2D([end-arrowhead_length,end+arrowhead_length],[arcHeightEnd,arcHeightEnd], linewidth=linewidth, color=color, zorder=12, linestyle='-') line_ind1 = Line2D([end-arrowhead_length,end],[arcHeightEnd+indHeight,arcHeightEnd], linewidth=linewidth, color=color, zorder=12, linestyle='-') line_ind2 = Line2D([end+arrowhead_length,end],[arcHeightEnd+indHeight,arcHeightEnd], linewidth=linewidth, color=color, zorder=12, linestyle='-') if(type == 'Repression'): ax.add_line(line_rep) ax.add_line(line_away) ax.add_line(line_across) ax.add_line(line_toward) if(type == 'Activation'): ax.add_line(line_ind1) ax.add_line(line_ind2) ax.add_line(line_away) ax.add_line(line_across) ax.add_line(line_toward) if(type == 'Connection'): verts = [ (start, base), (start, top), (end, top), (end, base) ] codes = [Path.MOVETO, Path.CURVE4, Path.CURVE4, Path.CURVE4] path1 = Path(verts, codes) patch = patches.PathPatch(path1, facecolor='none', lw=linewidth, edgecolor=color) ax.add_patch(patch) ############################################################################### # Trace Icon Renderers (icon width corrisponds to trace data) ############################################################################### def trace_promoter_start (ax, type, num, start_bp, end_bp, prev_end, scale, linewidth, opts): """ Built-in trace-based promoter renderer. """ # Default options zorder_add = 0.0 color = (0.0,0.0,1.0) y_offset = 0.0 y_extent = 6.0 x_extent = 30.0 arrowhead_height = 0.5 arrowhead_length = 15.0 highlight_y_extent = 0.8 # Reset defaults if provided if opts != None: if 'zorder_add' in list(opts.keys()): zorder_add = opts['zorder_add'] if 'color' in list(opts.keys()): color = opts['color'] if 'y_offset' in list(opts.keys()): y_offset = opts['y_offset'] if 'y_extent' in list(opts.keys()): y_extent = opts['y_extent'] if 'x_extent' in list(opts.keys()): x_extent = opts['x_extent'] if 'arrowhead_height' in list(opts.keys()): arrowhead_height = opts['arrowhead_height'] if 'arrowhead_length' in list(opts.keys()): arrowhead_length = opts['arrowhead_length'] if 'highlight_y_extent' in list(opts.keys()): highlight_y_extent = opts['highlight_y_extent'] if 'linewidth' in list(opts.keys()): linewidth = opts['linewidth'] if 'scale' in list(opts.keys()): scale = opts['scale'] # Check direction add start padding dir_fac = 1.0 if start_bp > end_bp: dir_fac = -1.0 y_offset = -y_offset # Draw the promoter symbol l1 = Line2D([start_bp,start_bp],[0+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, color=color, zorder=14+zorder_add) l2 = Line2D([start_bp,start_bp+dir_fac*x_extent*scale-dir_fac*arrowhead_length*0.5*scale], [dir_fac*y_extent+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, color=color, zorder=14+zorder_add) ax.add_line(l1) ax.add_line(l2) p1 = Polygon([(start_bp+dir_fac*x_extent*scale-dir_fac*arrowhead_length*scale, dir_fac*y_extent+(arrowhead_height)+y_offset), (start_bp+dir_fac*(x_extent*scale), dir_fac*y_extent+y_offset), (start_bp+dir_fac*x_extent*scale-dir_fac*arrowhead_length*scale, dir_fac*y_extent-(arrowhead_height)+y_offset)], facecolor=color, edgecolor=color, linewidth=linewidth, zorder=14+zorder_add, path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) ax.add_patch(p1) # Shade the promoter area (normally smaller than symbol extent) p2 = Polygon([(start_bp, -highlight_y_extent+y_offset), (start_bp, highlight_y_extent+y_offset), (end_bp, highlight_y_extent+y_offset), (end_bp, -highlight_y_extent+y_offset)], facecolor=color, edgecolor=color, linewidth=linewidth, zorder=14+zorder_add, path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) ax.add_patch(p2) if opts != None and 'label' in list(opts.keys()): if start_bp > end_bp: write_label(ax, opts['label'], end_bp+((start_bp-end_bp)/2.0), opts=opts) else: write_label(ax, opts['label'], start_bp+((end_bp-start_bp)/2.0), opts=opts) if start_bp > end_bp: return end_bp, start_bp else: return start_bp, end_bp def trace_promoter (ax, type, num, start_bp, end_bp, prev_end, scale, linewidth, opts): """ Built-in trace-based promoter renderer with arrow at TSS. """ # Default options zorder_add = 0.0 color = (0.0,0.0,1.0) y_offset = 0.0 y_extent = 6.0 x_extent = 30.0 arrowhead_height = 0.5 arrowhead_length = 15.0 highlight_y_extent = 0.8 # Reset defaults if provided if opts != None: if 'zorder_add' in list(opts.keys()): zorder_add = opts['zorder_add'] if 'color' in list(opts.keys()): color = opts['color'] if 'y_offset' in list(opts.keys()): y_offset = opts['y_offset'] if 'y_extent' in list(opts.keys()): y_extent = opts['y_extent'] if 'x_extent' in list(opts.keys()): x_extent = opts['x_extent'] if 'arrowhead_height' in list(opts.keys()): arrowhead_height = opts['arrowhead_height'] if 'arrowhead_length' in list(opts.keys()): arrowhead_length = opts['arrowhead_length'] if 'highlight_y_extent' in list(opts.keys()): highlight_y_extent = opts['highlight_y_extent'] if 'linewidth' in list(opts.keys()): linewidth = opts['linewidth'] if 'scale' in list(opts.keys()): scale = opts['scale'] # Check direction add start padding dir_fac = 1.0 if start_bp > end_bp: dir_fac = -1.0 y_offset = -y_offset # Draw the promoter symbol l1 = Line2D([end_bp,end_bp],[0+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, color=color, zorder=14+zorder_add) l2 = Line2D([end_bp,end_bp+dir_fac*x_extent*scale-dir_fac*arrowhead_length*0.5*scale], [dir_fac*y_extent+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, color=color, zorder=14+zorder_add) ax.add_line(l1) ax.add_line(l2) p1 = Polygon([(end_bp+dir_fac*x_extent*scale-dir_fac*arrowhead_length*scale, dir_fac*y_extent+(arrowhead_height)+y_offset), (end_bp+dir_fac*(x_extent*scale), dir_fac*y_extent+y_offset), (end_bp+dir_fac*x_extent*scale-dir_fac*arrowhead_length*scale, dir_fac*y_extent-(arrowhead_height)+y_offset)], facecolor=color, edgecolor=color, linewidth=linewidth, zorder=14+zorder_add, path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) ax.add_patch(p1) # Shade the promoter area (normally smaller than symbol extent) p2 = Polygon([(start_bp, -highlight_y_extent+y_offset), (start_bp, highlight_y_extent+y_offset), (end_bp, highlight_y_extent+y_offset), (end_bp, -highlight_y_extent+y_offset)], facecolor=color, edgecolor=color, linewidth=linewidth, zorder=14+zorder_add, path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) ax.add_patch(p2) if opts != None and 'label' in list(opts.keys()): if start_bp > end_bp: write_label(ax, opts['label'], end_bp+((start_bp-end_bp)/2.0), opts=opts) else: write_label(ax, opts['label'], start_bp+((end_bp-start_bp)/2.0), opts=opts) if start_bp > end_bp: return end_bp, start_bp else: return start_bp, end_bp def trace_rbs (ax, type, num, start_bp, end_bp, prev_end, scale, linewidth, opts): """ Built-in trace-based ribosome binding site renderer. """ # Default options zorder_add = 0.0 color = (0.16,0.68,0.15) y_offset = 0.0 y_extent = 3.5 x_extent = 10.0 highlight_y_extent = 0.8 # Reset defaults if provided if opts != None: if 'zorder_add' in list(opts.keys()): zorder_add = opts['zorder_add'] if 'color' in list(opts.keys()): color = opts['color'] if 'y_offset' in list(opts.keys()): y_offset = opts['y_offset'] if 'y_extent' in list(opts.keys()): y_extent = opts['y_extent'] if 'x_extent' in list(opts.keys()): x_extent = opts['x_extent'] if 'highlight_y_extent' in list(opts.keys()): highlight_y_extent = opts['highlight_y_extent'] if 'linewidth' in list(opts.keys()): linewidth = opts['linewidth'] if 'scale' in list(opts.keys()): scale = opts['scale'] # Check direction add start padding dir_fac = 1.0 if start_bp > end_bp: dir_fac = -1.0 # Draw the RBS symbol l1 = Line2D([start_bp,start_bp],[0+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, color=color, zorder=14+zorder_add) ax.add_line(l1) c1 = Ellipse((start_bp,dir_fac*y_extent+y_offset),width=(x_extent*scale),height=y_extent*0.4,color=color, zorder=14+zorder_add) ax.add_artist(c1) # Shade the promoter area (normally smaller than symbol extent) p2 = Polygon([(start_bp, -highlight_y_extent+y_offset), (start_bp, highlight_y_extent+y_offset), (end_bp, highlight_y_extent+y_offset), (end_bp, -highlight_y_extent+y_offset)], facecolor=color, edgecolor=color, linewidth=linewidth, zorder=14+zorder_add, path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) ax.add_patch(p2) if opts != None and 'label' in list(opts.keys()): if start_bp > end_bp: write_label(ax, opts['label'], end_bp+((start_bp-end_bp)/2.0), opts=opts) else: write_label(ax, opts['label'], start_bp+((end_bp-start_bp)/2.0), opts=opts) if start_bp > end_bp: return end_bp, start_bp else: return start_bp, end_bp def trace_user_defined (ax, type, num, start_bp, end_bp, prev_end, scale, linewidth, opts): """ Built-in trace-based user defined region renderer. """ # Default options zorder_add = 0.0 color = (0.7,0.7,0.7) hatch = '' y_offset = 0.0 y_extent = 1.5 # Reset defaults if provided if opts != None: if 'zorder_add' in list(opts.keys()): zorder_add = opts['zorder_add'] if 'color' in list(opts.keys()): color = opts['color'] if 'hatch' in list(opts.keys()): hatch = opts['hatch'] if 'y_offset' in list(opts.keys()): y_offset = opts['y_offset'] if 'y_extent' in list(opts.keys()): y_extent = opts['y_extent'] if 'linewidth' in list(opts.keys()): linewidth = opts['linewidth'] if 'scale' in list(opts.keys()): scale = opts['scale'] # Check direction add start padding dir_fac = 1.0 if start_bp > end_bp: dir_fac = -1.0 # Draw the CDS symbol p1 = Polygon([(start_bp, y_extent+y_offset), (start_bp, -y_extent+y_offset), (end_bp-dir_fac*scale, -y_extent+y_offset), (end_bp-dir_fac*scale, y_extent+y_offset)], edgecolor=(0.0,0.0,0.0), facecolor=color, linewidth=linewidth, hatch=hatch, zorder=15+zorder_add, path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) ax.add_patch(p1) if opts != None and 'label' in list(opts.keys()): if start_bp > end_bp: write_label(ax, opts['label'], end_bp+((start_bp-end_bp)/2.0), opts=opts) else: write_label(ax, opts['label'], start_bp+((end_bp-start_bp)/2.0), opts=opts) if start_bp > end_bp: return end_bp, start_bp else: return start_bp, end_bp def trace_cds (ax, type, num, start_bp, end_bp, prev_end, scale, linewidth, opts): """ Built-in trace-based coding sequence renderer. """ # Default options zorder_add = 0.0 color = (0.7,0.7,0.7) hatch = '' y_offset = 0.0 y_extent = 1.5 arrowhead_height = 1.0 arrowhead_length = 30.0 # Reset defaults if provided if opts != None: if 'zorder_add' in list(opts.keys()): zorder_add = opts['zorder_add'] if 'color' in list(opts.keys()): color = opts['color'] if 'hatch' in list(opts.keys()): hatch = opts['hatch'] if 'y_offset' in list(opts.keys()): y_offset = opts['y_offset'] if 'y_extent' in list(opts.keys()): y_extent = opts['y_extent'] if 'arrowhead_height' in list(opts.keys()): arrowhead_height = opts['arrowhead_height'] if 'arrowhead_length' in list(opts.keys()): arrowhead_length = opts['arrowhead_length'] if 'linewidth' in list(opts.keys()): linewidth = opts['linewidth'] if 'scale' in list(opts.keys()): scale = opts['scale'] # Check direction add start padding dir_fac = 1.0 if start_bp > end_bp: dir_fac = -1.0 # Draw the CDS symbol p1 = Polygon([(start_bp, y_extent+y_offset), (start_bp, -y_extent+y_offset), (end_bp-dir_fac*arrowhead_length*scale, -y_extent+y_offset), (end_bp-dir_fac*arrowhead_length*scale, -y_extent-arrowhead_height+y_offset), (end_bp, 0+y_offset), (end_bp-dir_fac*arrowhead_length*scale, y_extent+arrowhead_height+y_offset), (end_bp-dir_fac*arrowhead_length*scale, y_extent+y_offset)], edgecolor=(0.0,0.0,0.0), facecolor=color, linewidth=linewidth, hatch=hatch, zorder=15+zorder_add, path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) ax.add_patch(p1) if opts != None and 'label' in list(opts.keys()): if start_bp > end_bp: write_label(ax, opts['label'], end_bp+((start_bp-end_bp)/2.0), opts=opts) else: write_label(ax, opts['label'], start_bp+((end_bp-start_bp)/2.0), opts=opts) if start_bp > end_bp: return end_bp, start_bp else: return start_bp, end_bp def trace_terminator (ax, type, num, start_bp, end_bp, prev_end, scale, linewidth, opts): """ Built-in trace-based terminator renderer. """ # Default options zorder_add = 0.0 color = (1.0,0.0,0.0) y_offset = 0.0 y_extent = 3.5 x_extent = 10.0 highlight_y_extent = 0.8 # Reset defaults if provided if opts != None: if 'zorder_add' in list(opts.keys()): zorder_add = opts['zorder_add'] if 'color' in list(opts.keys()): color = opts['color'] if 'y_offset' in list(opts.keys()): y_offset = opts['y_offset'] if 'y_extent' in list(opts.keys()): y_extent = opts['y_extent'] if 'x_extent' in list(opts.keys()): x_extent = opts['x_extent'] if 'highlight_y_extent' in list(opts.keys()): highlight_y_extent = opts['highlight_y_extent'] if 'linewidth' in list(opts.keys()): linewidth = opts['linewidth'] if 'scale' in list(opts.keys()): scale = opts['scale'] # Check direction add start padding dir_fac = 1.0 if start_bp > end_bp: dir_fac = -1.0 # Draw the terminator symbol l1 = Line2D([start_bp,start_bp],[0+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, color=color, zorder=8+zorder_add) l2 = Line2D([start_bp-(x_extent*scale),start_bp+(x_extent*scale)],[dir_fac*y_extent+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, color=color, zorder=14+zorder_add) ax.add_line(l1) ax.add_line(l2) # Shade the terminator area (normally smaller than symbol extent) p2 = Polygon([(start_bp, -highlight_y_extent+y_offset), (start_bp, highlight_y_extent+y_offset), (end_bp, highlight_y_extent+y_offset), (end_bp, -highlight_y_extent+y_offset)], facecolor=color, edgecolor=color, linewidth=linewidth, zorder=13, path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) ax.add_patch(p2) if opts != None and 'label' in list(opts.keys()): if start_bp > end_bp: write_label(ax, opts['label'], end_bp+((start_bp-end_bp)/2.0), opts=opts) else: write_label(ax, opts['label'], start_bp+((end_bp-start_bp)/2.0), opts=opts) if start_bp > end_bp: return end_bp, start_bp else: return start_bp, end_bp ############################################################################### # The DNA renderer ############################################################################### class DNARenderer: """ Class defining the DNA rendering funtionality. """ # Standard part types STD_PART_TYPES = ['Promoter', 'CDS', 'Terminator', 'RBS', 'Scar', 'Spacer', 'EmptySpace', 'Ribozyme', 'Ribonuclease', 'Protease', 'DNACleavageSite', 'RNACleavageSite', 'ProteinCleavageSite', 'DNALocation', 'RNALocation', 'ProteinLocation', 'DNAStability', 'RNAStability', 'ProteinStability', 'StemTop', 'Operator', 'Origin', 'Insulator', '5Overhang', '3Overhang', 'RestrictionSite', 'BluntRestrictionSite', 'PrimerBindingSite', '5StickyRestrictionSite', '3StickyRestrictionSite', 'UserDefined', 'Signature'] # Standard regulatory types STD_REG_TYPES = ['Repression', 'Activation', 'Connection'] def __init__(self, scale=1.0, linewidth=1.0, linecolor=(0,0,0), backbone_pad_left=0.0, backbone_pad_right=0.0): """ Constructor to generate an empty DNARenderer. Parameters ---------- scale : float (default=1.0) A scaling factor for the plot. Only used if rendering traces. linewidth : float (default=1.0) The default linewidth for all part drawing. backbone_pad_left : float (default=0.0) Padding to add to the left side of the backbone. backbone_pad_right : float (default=0.0) Padding to add to the left side of the backbone. """ self.scale = scale self.linewidth = linewidth self.linecolor = linecolor self.backbone_pad_left = backbone_pad_left self.backbone_pad_right = backbone_pad_right self.reg_height = 15 def SBOL_part_renderers (self): """ Return dictionary of all standard built-in SBOL part renderers. """ return { 'Promoter' :sbol_promoter, 'CDS' :sbol_cds, 'Terminator' :sbol_terminator, 'RBS' :sbol_rbs, 'Scar' :sbol_scar, 'Spacer' :sbol_spacer, 'EmptySpace' :sbol_empty_space, 'Ribozyme' :sbol_ribozyme, 'Ribonuclease' :sbol_stem_top, 'Protease' :sbol_stem_top, 'DNACleavageSite' :sbol_stem_top, 'RNACleavageSite' :sbol_stem_top, 'ProteinCleavageSite':sbol_stem_top, 'DNALocation' :sbol_stem_top, 'RNALocation' :sbol_stem_top, 'ProteinLocation' :sbol_stem_top, 'DNAStability' :sbol_stem_top, 'RNAStability' :sbol_stem_top, 'ProteinStability' :sbol_stem_top, 'StemTop' :sbol_stem_top, 'Operator' :sbol_operator, 'Origin' :sbol_origin, 'Insulator' :sbol_insulator, '5Overhang' :sbol_5_overhang, '3Overhang' :sbol_3_overhang, 'RestrictionSite' :sbol_restriction_site, 'BluntRestrictionSite' :sbol_blunt_restriction_site, 'PrimerBindingSite' :sbol_primer_binding_site, '5StickyRestrictionSite' :sbol_5_sticky_restriction_site, '3StickyRestrictionSite' :sbol_3_sticky_restriction_site, 'UserDefined' :sbol_user_defined, 'Signature' :sbol_signature} def trace_part_renderers (self): """ Return dictionary of all standard built-in trace part renderers. """ return { 'Promoter' :trace_promoter, 'CDS' :trace_cds, 'Terminator' :trace_terminator, 'RBS' :trace_rbs, 'UserDefined' :trace_user_defined} def std_reg_renderers (self): """ Return dictionary of all standard built-in regulation renderers. """ return { 'Repression' :repress, 'Activation' :induce, 'Connection' :connect} def renderDNA (self, ax, parts, part_renderers, regs=None, reg_renderers=None, plot_backbone=True): """ Render the parts on the DNA and regulation. Parameters ---------- ax : matplotlib.axes Axes to draw the design to. parts : list(dict) The design to draw. This is a list of dicts, where each dict relates to a part and must contain the following keys: - name (string) - type (string) - fwd (bool) - start (float, optional) - end (float, optional) These will then be drawn in accordance with the renders selected part_renderers : dict(functions) Dict of functions where the key in the part type and the dictionary returns the function to be used to draw that part type. regs : list(dict) (default=None) Regulation present in the design. This is a list of dicts, where each dict relates to a single regulation arc and must contain the following keys: - type (string) - from_part (part object dict) - to_part (part object dict) These will then be drawn in accordance with the renders selected. reg_renderers : dict(functions) (default=None) Dict of functions where the key in the regulation type and the dictionary returns the function to be used to draw that regulation type. Returns ------- start : float The x-point in the axis space that drawing begins. end : float The x-point in the axis space that drawing ends. """ # Update the matplotlib rendering default for drawing the parts (we want mitered edges) matplotlib.rcParams['lines.dash_joinstyle'] = 'miter' matplotlib.rcParams['lines.dash_capstyle'] = 'butt' matplotlib.rcParams['lines.solid_joinstyle'] = 'miter' matplotlib.rcParams['lines.solid_capstyle'] = 'projecting' # Make text editable in Adobe Illustrator matplotlib.rcParams['pdf.fonttype'] = 42 # Plot the parts to the axis part_num = 0 prev_end = 0 first_start = 0 first_part = True for part in parts: keys = list(part.keys()) # Check the part has minimal details required if 'type' in keys: if 'fwd' not in keys: part['fwd'] = True elif part['fwd'] == False and 'start' in keys and 'end' in keys: start = part['start'] end = part['end'] part['end'] = start part['start'] = end if 'start' not in keys: if part['fwd'] == True: part['start'] = part_num else: part['start'] = part_num+1 if 'end' not in keys: if part['fwd'] == True: part['end'] = part_num+1 else: part['end'] = part_num # Extract custom part options (if available) part_opts = None if 'opts' in list(part.keys()): part_opts = part['opts'] # Use the correct renderer if 'renderer' in list(part.keys()): # Use custom renderer prev_start, prev_end = part['renderer'](ax, part['type'], part_num, part['start'], part['end'], prev_end, self.scale, self.linewidth, opts=part_opts) #update start,end for regulation #part['start'] = prev_start #part['end'] = prev_end if first_part == True: first_start = prev_start first_part = False else: # Use standard renderer, if one exists if part['type'] in list(part_renderers.keys()): prev_start, prev_end = part_renderers[part['type']](ax, part['type'], part_num, part['start'], part['end'], prev_end, self.scale, self.linewidth, opts=part_opts) #update start,end for regulation [TEG] if part['fwd'] == True: part['start'] = prev_start part['end'] = prev_end else: part['start'] = prev_end part['end'] = prev_start if first_part == True: first_start = prev_start first_part = False part_num += 1 # first pass to get all of the arcranges if regs != None: for reg in regs: keys = list(reg.keys()) # Check the part has minimal details required if 'type' in keys and 'from_part' in keys and 'to_part' in keys: # Extract custom part options (if available) reg_opts = None if 'opts' in list(reg.keys()): reg_opts = reg['opts'] if reg['type'] in list(reg_renderers.keys()): ############################################################################## arcstart = (reg['from_part']['start'] + reg['from_part']['end']) / 2 arcend = (reg['to_part']['start'] + reg['to_part']['end']) / 2 arcrange = [arcstart,arcend] reg['arclength'] = math.fabs(arcstart-arcend) reg['arc_height_index'] = 1 ############################################################################## #sort regs by arc ranges from shortest to longest regs.sort(key=lambda x: x['arclength'], reverse=False) reg_num = 0 pos_arc_ranges = [] # arc above DNA backbone if to_part is fwd neg_arc_ranges = [] # arc below DNA backbone if to_part is reverse current_max = 1 # second pass to render all the arcs for reg in regs: keys = list(reg.keys()) # Check the part has minimal details required if 'type' in keys and 'from_part' in keys and 'to_part' in keys: # Extract custom part options (if available) reg_opts = None if 'opts' in list(reg.keys()): reg_opts = reg['opts'] if reg['type'] in list(reg_renderers.keys()): ############################################################################## # arc height algorithm: greedy from left-to-right on DNA design arcstart = (reg['from_part']['start'] + reg['from_part']['end']) / 2 arcend = (reg['to_part']['start'] + reg['to_part']['end']) / 2 arcmin = min(arcstart,arcend) arcmax = max(arcstart,arcend) arcrange = [arcmin,arcmax,reg['arc_height_index']] arc_height_index = 1 # arc above if to_part is fwd if(reg['to_part']['fwd'] == True): # find max arc height index of ONLY the prior arcs that clash with the current arc current_max = 1 for r in pos_arc_ranges: if (arcrange[0] > r[0] and arcrange[0] < r[1]): if(r[2] > current_max): current_max = r[2] elif(arcrange[0] > r[1] and arcrange[0] < r[0]): if(r[2] > current_max): current_max = r[2] elif(arcrange[1] > r[0] and arcrange[0] < r[1]): if(r[2] > current_max): current_max = r[2] elif(arcrange[1] > r[1] and arcrange[0] < r[0]): if(r[2] > current_max): current_max = r[2] # if arcs cross over, increment the arc height index for r in pos_arc_ranges: if (arcrange[0] > r[0] and arcrange[0] < r[1]): reg['arc_height_index'] = current_max + 1 arcrange[2] = reg['arc_height_index'] elif(arcrange[0] > r[1] and arcrange[0] < r[0]): reg['arc_height_index'] = current_max + 1 arcrange[2] = reg['arc_height_index'] elif(arcrange[1] > r[0] and arcrange[0] < r[1]): reg['arc_height_index'] = current_max + 1 arcrange[2] = reg['arc_height_index'] elif(arcrange[1] > r[1] and arcrange[0] < r[0]): reg['arc_height_index'] = current_max + 1 arcrange[2] = reg['arc_height_index'] pos_arc_ranges.append(arcrange) # arc below if to_part is reverse else: # find max arc height index current_max = 1 for r in neg_arc_ranges: if (arcrange[0] > r[0] and arcrange[0] < r[1]): if(r[2] > current_max): current_max = r[2] elif(arcrange[0] > r[1] and arcrange[0] < r[0]): if(r[2] > current_max): current_max = r[2] elif(arcrange[1] > r[0] and arcrange[0] < r[1]): if(r[2] > current_max): current_max = r[2] elif(arcrange[1] > r[1] and arcrange[0] < r[0]): if(r[2] > current_max): current_max = r[2] # if arcs cross over, increment the arc height index for r in neg_arc_ranges: if (arcrange[0] > r[0] and arcrange[0] < r[1]): reg['arc_height_index'] = current_max + 1 arcrange[2] = reg['arc_height_index'] elif(arcrange[0] > r[1] and arcrange[0] < r[0]): reg['arc_height_index'] = current_max + 1 arcrange[2] = reg['arc_height_index'] elif(arcrange[1] > r[0] and arcrange[0] < r[1]): reg['arc_height_index'] = current_max + 1 arcrange[2] = reg['arc_height_index'] elif(arcrange[1] > r[1] and arcrange[0] < r[0]): reg['arc_height_index'] = current_max + 1 arcrange[2] = reg['arc_height_index'] neg_arc_ranges.append(arcrange) ############################################################################## reg_renderers[reg['type']](ax, reg['type'], reg_num, reg['from_part'], reg['to_part'], self.scale, self.linewidth, reg['arc_height_index'], opts=reg_opts) reg_num += 1 # Plot the backbone (z=1) if plot_backbone == True: l1 = Line2D([first_start-self.backbone_pad_left,prev_end+self.backbone_pad_right],[0,0], linewidth=self.linewidth, color=self.linecolor, zorder=10) ax.add_line(l1) return first_start, prev_end def annotate (self, ax, part_renderers, part, annotate_zorder=1000): """ Annotate a plot at a user specified location and offset. """ # Annotations show be placed on top of existing design if 'opts' not in list(part.keys()): part['opts'] = {'zorder_add': annotate_zorder} else: part['opts']['zorder_add'] = annotate_zorder # Draw the part part_renderers[part['type']](ax, part['type'], 1, part['start'], part['end'], part['start'], self.scale, self.linewidth, opts=part['opts']) ############################################################################### # Helper functions to simplify plotting ############################################################################### def plot_sbol_designs (axes, dna_designs, regulations=None, plot_params={}, plot_names=None): """ Plot SBOL designs to axes. Parameters ---------- axes : list(matplotlib.axis) List of axis objects to plot the designs to. dna_designs : list(dict(design_information)) List of designs to plot. regulations : list(dict(regulation_information)) (default=None) List of regulations to use for each design. plot_params : dict (default={}) General plotting parameters to use. plot_names : list(string) (default=None) List of names to use on each plot. If None provided then no titles displayed. Returns ------- xlims : [float, float] The x-axis range for each axis. ylims : [float, float] The y-axis range for each axis. """ # Standard plotting parameters if 'axis_y' not in list(plot_params.keys()): plot_params['axis_y'] = 35 left_pad = 0.0 right_pad = 0.0 scale = 1.0 linewidth = 1.0 fig_y = 5.0 fig_x = 5.0 if 'backbone_pad_left' in list(plot_params.keys()): left_pad = plot_params['backbone_pad_left'] if 'backbone_pad_right' in list(plot_params.keys()): right_pad = plot_params['backbone_pad_right'] if 'scale' in list(plot_params.keys()): scale = plot_params['scale'] if 'linewidth' in list(plot_params.keys()): linewidth = plot_params['linewidth'] dr = DNARenderer(scale=scale, linewidth=linewidth, backbone_pad_left=left_pad, backbone_pad_right=right_pad) # We default to the standard regulation renderers reg_renderers = dr.std_reg_renderers() # We default to the SBOL part renderers part_renderers = dr.SBOL_part_renderers() # Plot each design on the appropriate axis num_of_designs = len(dna_designs) max_dna_len = 0.0 for i in range(num_of_designs): # Create axis for the design and plot regs = None if(regulations != None): regs = regulations[i] design = dna_designs[i] ax = axes[i] if plot_names != None: ax.set_title(plot_names[i], fontsize=8) start, end = dr.renderDNA(ax, design, part_renderers, regs, reg_renderers) dna_len = end-start if max_dna_len < dna_len: max_dna_len = dna_len # Update formatting and resize all axis in similar way for ax in axes: ax.set_xticks([]) ax.set_yticks([]) # Set bounds ax.set_xlim([(-0.01*max_dna_len)-left_pad, max_dna_len+(0.01*max_dna_len)+right_pad]) ax.set_ylim([-plot_params['axis_y'],plot_params['axis_y']]) ax.set_aspect('equal') ax.set_axis_off() # xlims, ylims are returned return max_dna_len, [(-0.01*max_dna_len)-left_pad, max_dna_len+(0.01*max_dna_len)+right_pad], [-plot_params['axis_y'],plot_params['axis_y']] def save_sbol_designs (filename, dna_designs, regulations=None, plot_params={}, plot_names=None): """ Plot SBOL designs to axes. Parameters ---------- filename : string Image filename to save designs to. Extention provided will determine format and must be supported by matplotlib. dna_designs : list(dict(design_information)) List of designs to plot. regulations : list(dict(regulation_information)) (default=None) List of regulations to use for each design. plot_params : dict (default={}) General plotting parameters to use. plot_names : list(string) (default=None) List of names to use on each plot. If None provided then no titles displayed. """ # Create the figure fig = plt.figure(figsize=(10,10)) fig.patch.set_facecolor('white') # Create all the axes required axes = [] for i in range(len(dna_designs)): ax = fig.add_subplot(len(dna_designs),1,i+1, axisbg='white') axes.append(ax) # Plot design to the axes max_dna_len, lims, params = plot_sbol_designs (axes, dna_designs, regulations=regulations, plot_params=plot_params, plot_names=plot_names) # Update the size of the figure to fit the constructs drawn fig_x_dim = max_dna_len/70.0 if fig_x_dim < 1.0: fig_x_dim = 1.0 fig_y_dim = 1.2*len(axes) plt.gcf().set_size_inches( (fig_x_dim, fig_y_dim) ) # Save the figure plt.tight_layout() fig.savefig(filename, transparent=True, dpi=300) # Clear the plotting cache plt.close('all') ############################################################################### # Functions for reading designs from standard file formats ############################################################################### def convert_attrib (attrib): if attrib[0] == '(' and attrib[-1] == ')' and len(attrib.split(',')) == 3: col_parts = attrib[1:-1].split(',') new_col = (float(col_parts[0]), float(col_parts[1]), float(col_parts[2])) return new_col if attrib[0] == '(' and attrib[-1] == ')' and len(attrib.split(',')) == 4: col_parts = attrib[1:-1].split(',') new_col = (float(col_parts[0]), float(col_parts[1]), float(col_parts[2]), float(col_parts[3])) return new_col try: # See if a number return float(attrib) except ValueError: # Must be a string return attrib dpl_default_type_map = {'gene': 'CDS', 'promoter': 'Promoter', 'terminator': 'Terminator', 'rbs': 'RBS'} def load_design_from_gff (filename, chrom, type_map=dpl_default_type_map, region=None): # Load the GFF data gff = [] data_reader = csv.reader(open(filename, 'rU'), delimiter='\t') for row in data_reader: if len(row) == 9: cur_chrom = row[0] part_type = row[2] start_bp = int(row[3]) end_bp = int(row[4]) part_dir = row[6] part_attribs = {} split_attribs = row[8].split(';') part_name = None for attrib in split_attribs: key_value = attrib.split('=') if len(key_value) == 2: if key_value[0] == 'Name': part_name = key_value[1] else: part_attribs[key_value[0]] = convert_attrib(key_value[1]) if part_name != None and cur_chrom == chrom and part_type in list(type_map.keys()): # Check feature start falls in region if region != None and (start_bp > region[0] and start_bp < region[1]): gff.append([part_name, type_map[part_type], part_dir, start_bp, end_bp, part_attribs]) # Convert to DNAplotlib design (sort on start position first) design = [] for gff_el in sorted(gff, key=itemgetter(3)): new_part = {} new_part['name'] = gff_el[0] new_part['type'] = gff_el[1] if gff_el[2] == '+': new_part['fwd'] = True else: new_part['fwd'] = False new_part['start'] = gff_el[3] new_part['end'] = gff_el[4] new_part['opts'] = gff_el[5] design.append(new_part) # Return the sorted design return design def load_profile_from_bed (filename, chrom, region): region_len = region[1]-region[0] profile = [0]*region_len data_reader = csv.reader(open(filename, 'rU'), delimiter='\t') for row in data_reader: if len(row) == 5: cur_chrom = row[0] cur_start_bp = int(row[1]) cur_end_bp = int(row[2]) if cur_start_bp == region[0] and cur_end_bp == region[1]: profile[int(row[3])-1] = float(row[4]) return profile

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1

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null

0

7

2106084a4b3c49c736096e104370e9d411dc4f38

153

py

Python

Code/RunFragility.py

ChimieleCode/OpenSees_Script

58dcd187e5eda1bf92f8f2c4fc83b74d9108372d

[ "MIT" ]

null

Code/RunFragility.py

ChimieleCode/OpenSees_Script

58dcd187e5eda1bf92f8f2c4fc83b74d9108372d

[ "MIT" ]

null

Code/RunFragility.py

ChimieleCode/OpenSees_Script

58dcd187e5eda1bf92f8f2c4fc83b74d9108372d

[ "MIT" ]

null

from ModelOptions import compute_local_fragility import Fragility.GlobalRegression if compute_local_fragility: import Fragility.LocalCurve

19.125

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0.442623

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7

210d05fd890b8d29f9e5c24f4503e0c3c308558b

201

py

Python

pengujian/admin.py

userbaruu/aerotron

f2f2fb7797a75a7a3b3c0eb3836193bc05650c65

[ "MIT" ]

null

pengujian/admin.py

userbaruu/aerotron

f2f2fb7797a75a7a3b3c0eb3836193bc05650c65

[ "MIT" ]

null

pengujian/admin.py

userbaruu/aerotron

f2f2fb7797a75a7a3b3c0eb3836193bc05650c65

[ "MIT" ]

1

2021-07-28T23:19:27.000Z

from django.contrib import admin from pengujian.models.paket import PaketPengujian from pengujian.models.pengujian import Pengujian admin.site.register(Pengujian) admin.site.register(PaketPengujian)

25.125

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null

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1

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7

dcc63c5f04082066265bbd3767fa7dc9385e4b59

43

py

Python

app/user/tests/__init__.py

karserasl/recipe-app-api

0b107210fc3d079d5e644855d8cc4fb7b3e392c0

[ "MIT" ]

null

app/user/tests/__init__.py

karserasl/recipe-app-api

0b107210fc3d079d5e644855d8cc4fb7b3e392c0

[ "MIT" ]

null

app/user/tests/__init__.py

karserasl/recipe-app-api

0b107210fc3d079d5e644855d8cc4fb7b3e392c0

[ "MIT" ]

null

# @Author: Lam # @Date: 29/05/2020 20:57

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null

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7

dcc6a5d8042c5daa3ac5488806bdda3196e62757

5,453

py

Python

deepchem/data/tests/test_data_loader.py

hssinejihene/deepchem

7b5177240eb85a68819b4450635ec9df54afed23

[ "MIT" ]

null

deepchem/data/tests/test_data_loader.py

hssinejihene/deepchem

7b5177240eb85a68819b4450635ec9df54afed23

[ "MIT" ]

null

deepchem/data/tests/test_data_loader.py

hssinejihene/deepchem

7b5177240eb85a68819b4450635ec9df54afed23

[ "MIT" ]

null

""" Tests for FeaturizedSamples class """ import os import unittest import tempfile import shutil import deepchem as dc def test_unlabelled(): current_dir = os.path.dirname(os.path.abspath(__file__)) input_file = os.path.join(current_dir, "../../data/tests/no_labels.csv") featurizer = dc.feat.CircularFingerprint(size=1024) loader = dc.data.CSVLoader( tasks=[], feature_field="smiles", featurizer=featurizer) dataset = loader.create_dataset(input_file) assert len(dataset.X) def test_scaffold_test_train_valid_test_split(): """Test of singletask RF ECFP regression API.""" current_dir = os.path.dirname(os.path.abspath(__file__)) splittype = "scaffold" input_transforms = [] output_transforms = ["normalize"] model_params = {} tasks = ["log-solubility"] task_type = "regression" task_types = {task: task_type for task in tasks} input_file = os.path.join(current_dir, "../../models/tests/example.csv") featurizer = dc.feat.CircularFingerprint(size=1024) input_file = os.path.join(current_dir, input_file) loader = dc.data.CSVLoader( tasks=tasks, feature_field="smiles", featurizer=featurizer) dataset = loader.create_dataset(input_file) # Splits featurized samples into train/test splitter = dc.splits.ScaffoldSplitter() train_dataset, valid_dataset, test_dataset = splitter.train_valid_test_split( dataset) assert len(train_dataset) == 8 assert len(valid_dataset) == 1 assert len(test_dataset) == 1 def test_scaffold_test_train_test_split(): """Test of singletask RF ECFP regression API.""" current_dir = os.path.dirname(os.path.abspath(__file__)) splittype = "scaffold" input_transforms = [] output_transforms = ["normalize"] model_params = {} tasks = ["log-solubility"] task_type = "regression" task_types = {task: task_type for task in tasks} input_file = os.path.join(current_dir, "../../models/tests/example.csv") featurizer = dc.feat.CircularFingerprint(size=1024) input_file = os.path.join(current_dir, input_file) loader = dc.data.CSVLoader( tasks=tasks, feature_field="smiles", featurizer=featurizer) dataset = loader.create_dataset(input_file) # Splits featurized samples into train/test splitter = dc.splits.ScaffoldSplitter() train_dataset, test_dataset = splitter.train_test_split(dataset) assert len(train_dataset) == 8 assert len(test_dataset) == 2 def test_random_test_train_valid_test_split(): """Test of singletask RF ECFP regression API.""" current_dir = os.path.dirname(os.path.abspath(__file__)) input_transforms = [] output_transforms = ["normalize"] model_params = {} tasks = ["log-solubility"] task_type = "regression" task_types = {task: task_type for task in tasks} input_file = os.path.join(current_dir, "../../models/tests/example.csv") featurizer = dc.feat.CircularFingerprint(size=1024) input_file = os.path.join(current_dir, input_file) loader = dc.data.CSVLoader( tasks=tasks, feature_field="smiles", featurizer=featurizer) dataset = loader.create_dataset(input_file) # Splits featurized samples into train/test splitter = dc.splits.RandomSplitter() train_dataset, valid_dataset, test_dataset = splitter.train_valid_test_split( dataset) assert len(train_dataset) == 8 assert len(valid_dataset) == 1 assert len(test_dataset) == 1 def test_random_test_train_test_split(): """Test of singletask RF ECFP regression API.""" current_dir = os.path.dirname(os.path.abspath(__file__)) #splittype = "random" model_params = {} tasks = ["log-solubility"] task_type = "regression" task_types = {task: task_type for task in tasks} input_file = os.path.join(current_dir, "../../models/tests/example.csv") featurizer = dc.feat.CircularFingerprint(size=1024) loader = dc.data.CSVLoader( tasks=tasks, feature_field="smiles", featurizer=featurizer) dataset = loader.create_dataset(input_file) # Splits featurized samples into train/test splitter = dc.splits.RandomSplitter() train_dataset, test_dataset = splitter.train_test_split(dataset) assert len(train_dataset) == 8 assert len(test_dataset) == 2 def test_log_solubility_dataset(): """Test of loading for simple log-solubility dataset.""" current_dir = os.path.dirname(os.path.realpath(__file__)) input_file = "../../models/tests/example.csv" input_file = os.path.join(current_dir, input_file) tasks = ["log-solubility"] loader = dc.data.CSVLoader( tasks=tasks, feature_field="smiles", featurizer=dc.feat.CircularFingerprint(size=1024)) dataset = loader.create_dataset(input_file) assert len(dataset) == 10 def test_dataset_move(): """Test that dataset can be moved and reloaded.""" current_dir = os.path.dirname(os.path.abspath(__file__)) base_dir = tempfile.mkdtemp() data_dir = os.path.join(base_dir, "data") moved_data_dir = os.path.join(base_dir, "moved_data") dataset_file = os.path.join(current_dir, "../../models/tests/example.csv") featurizer = dc.feat.CircularFingerprint(size=1024) tasks = ["log-solubility"] loader = dc.data.CSVLoader( tasks=tasks, feature_field="smiles", featurizer=featurizer) featurized_dataset = loader.create_dataset(dataset_file, data_dir) n_dataset = len(featurized_dataset) # Now perform move shutil.move(data_dir, moved_data_dir) moved_featurized_dataset = dc.data.DiskDataset(moved_data_dir) assert len(moved_featurized_dataset) == n_dataset

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723

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5,453

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false

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null

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1

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null

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7

dcd4616bb875b4ddf4a42cea16de07997a0d3e01

2,068

py

Python

project/experiments/exp_800_mile_stone/src/old/tmp_np.py

liusida/thesis-bodies

dceb8a36efd2cefc611f6749a52b56b9d3572f7a

[ "MIT" ]

null

project/experiments/exp_800_mile_stone/src/old/tmp_np.py

liusida/thesis-bodies

dceb8a36efd2cefc611f6749a52b56b9d3572f7a

[ "MIT" ]

null

project/experiments/exp_800_mile_stone/src/old/tmp_np.py

liusida/thesis-bodies

dceb8a36efd2cefc611f6749a52b56b9d3572f7a

[ "MIT" ]

null

# import numpy as np # a = np.array([17,22,4,2,14,24,0,5,8,7,27,28,15,25,12,9,20,3,29,16,10,6,1,13,18,23,11,26,21,19]) # np.random.shuffle(a) # print(a.tolist()) # np.random.shuffle(a) # print(a.tolist()) # np.random.shuffle(a) # print(a.tolist()) need_rerun = [ {'bodies': [300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315], 'seed': 4, 'method': 'align'}, {'bodies': [300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315], 'seed': 6, 'method': 'random'}, {'bodies': [500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515], 'seed': 0, 'method': 'align'}, {'bodies': [500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515], 'seed': 4, 'method': 'align'}, {'bodies': [500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515], 'seed': 6, 'method': 'align'}, {'bodies': [500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515], 'seed': 0, 'method': 'random'}, {'bodies': [500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515], 'seed': 3, 'method': 'random'}, {'bodies': [500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515], 'seed': 5, 'method': 'random'}, {'bodies': [500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515], 'seed': 6, 'method': 'random'}, {'bodies': [600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615], 'seed': 4, 'method': 'align'}, {'bodies': [600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615], 'seed': 6, 'method': 'align'}] print("\n"*2) for r in need_rerun: cmd = f"sbatch -J exp_010_rerun submit.sh python 1.train.py --seed={r['seed']} --train_bodies={','.join([str(x) for x in r['bodies']])} --test_bodies={','.join([str(x) for x in r['bodies']])}" if r["method"]=='random': cmd += " --random_align_obs" print(cmd) print("\n"*2)

47

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0

0.359952

0.200677

2,068

43

197

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0.321234

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1

0

1

0

1

0

null

0

7

b4c0a7d92bc717af01a0a886144d8eb72f991bcb

1,600

py

Python

module_5/rotated_array.py

Sukhrobjon/career-lab

67bc38c0eb3b47248157f618cb34ed2bdd44fc78

[ "MIT" ]

null

module_5/rotated_array.py

Sukhrobjon/career-lab

67bc38c0eb3b47248157f618cb34ed2bdd44fc78

[ "MIT" ]

null

module_5/rotated_array.py

Sukhrobjon/career-lab

67bc38c0eb3b47248157f618cb34ed2bdd44fc78

[ "MIT" ]

null

def find_pivot_index(nums): """ Suppose a sorted array A is rotated at some pivot unknown to you beforehand. (i.e., 0 1 2 4 5 6 7 might become 4 5 6 7 0 1 2). Find the minimum element. NOTE: The array will not contain duplicates. """ min_num = nums[0] pivot_index = 0 left = 0 right = len(nums) - 1 if left == right: return pivot_index, nums[pivot_index] while left <= right: mid = (left + right) // 2 print(nums[mid]) if min_num > nums[mid]: min_num = nums[mid] pivot_index = mid right = mid - 1 else: left = mid + 1 return pivot_index, min_num def find_pivot_index_in_duplicates(nums): """ Suppose a sorted array A is rotated at some pivot unknown to you beforehand. (i.e., 0 1 2 4 5 6 7 might become 4 5 6 7 0 1 2). Find the minimum element. NOTE: The array will contain duplicates. """ min_num = nums[0] pivot_index = 0 left = 0 right = len(nums) - 1 if left == right: return pivot_index, nums[pivot_index] while left <= right: mid = (left + right) // 2 print(nums[mid], mid) if min_num > nums[mid]: min_num = nums[mid] pivot_index = mid right = mid - 1 # elif min_num == nums[mid]: # # continue else: left = mid + 1 return pivot_index, min_num # nums = [4, 5, 6, 7, 0, 1, 2] nums = [10, 10, 10, 10, 1] single = [5, 5, 5, 5, 3] result = find_pivot_index_in_duplicates(nums) print(result)

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null

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1

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1

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null

0

7

372575e3b213d1b064d53cd656ebb576d0c5557c

12,117

py

Python

etl_base/dags/sqlg_jobs_HRM.py

buckylee2019/sqlg-airflow

37610a23b99bea8d9fdc8b066a01736ff2ff0c9d

[ "Apache-2.0" ]

null

etl_base/dags/sqlg_jobs_HRM.py

buckylee2019/sqlg-airflow

37610a23b99bea8d9fdc8b066a01736ff2ff0c9d

[ "Apache-2.0" ]

null

etl_base/dags/sqlg_jobs_HRM.py

buckylee2019/sqlg-airflow

37610a23b99bea8d9fdc8b066a01736ff2ff0c9d

[ "Apache-2.0" ]

1

2022-03-10T03:47:35.000Z

# -*- coding: utf-8 -*- # Author : Jesse Wei # LastUpdate : 2020/10/04 # Impact : Jobs generated by SQLG # Message : Humanity towards others, we live by sharing. Fear can hold you prisoner, only hope can set you free. # from __future__ import print_function import logging import airflow from datetime import datetime, timedelta from airflow.operators.sensors import ExternalTaskSensor from airflow.operators.python_operator import PythonOperator from airflow.operators.bash_operator import BashOperator from airflow.contrib.sensors.file_sensor import FileSensor from airflow import models from airflow.models import Variable from acme.operators.sqlg_oracle import OracleOperatorWithTemplatedParams from airflow.operators.oracle_operator import OracleOperator # DB_NAME = 'DWH' # JOB_TYPE=ODS-MAIN my_taskid = "HR_DEGREEMSF" HR_DEGREEMSF = OracleOperatorWithTemplatedParams( task_id=my_taskid, parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}), sql= "Begin SQLEXT." + my_taskid + "_SP("+ ":END_DT_CHAR"+ "); End;" ) # JOB_TYPE=ODS-MAIN my_taskid = "HR_ETSMSF" HR_ETSMSF = OracleOperatorWithTemplatedParams( task_id=my_taskid, parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}), sql= "Begin SQLEXT." + my_taskid + "_SP("+ ":END_DT_CHAR"+ "); End;" ) # JOB_TYPE=ODS-MAIN my_taskid = "HR_JOBRANK" HR_JOBRANK = OracleOperatorWithTemplatedParams( task_id=my_taskid, parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}), sql= "Begin SQLEXT." + my_taskid + "_SP("+ ":END_DT_CHAR"+ "); End;" ) # JOB_TYPE=ODS-MAIN my_taskid = "HR_PEOMSF" HR_PEOMSF = OracleOperatorWithTemplatedParams( task_id=my_taskid, parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}), sql= "Begin SQLEXT." + my_taskid + "_SP("+ ":END_DT_CHAR"+ "); End;" ) # JOB_TYPE=ODS-MAIN my_taskid = "HR_PLACEMSF" HR_PLACEMSF = OracleOperatorWithTemplatedParams( task_id=my_taskid, parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}), sql= "Begin SQLEXT." + my_taskid + "_SP("+ ":END_DT_CHAR"+ "); End;" ) # JOB_TYPE=ODS-MAIN my_taskid = "HR_TYPMSF" HR_TYPMSF = OracleOperatorWithTemplatedParams( task_id=my_taskid, parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}), sql= "Begin SQLEXT." + my_taskid + "_SP("+ ":END_DT_CHAR"+ "); End;" ) # JOB_TYPE=ODS-MAIN my_taskid = "MV_HR_EMPMSF" MV_HR_EMPMSF = OracleOperatorWithTemplatedParams( task_id=my_taskid, parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}), sql= "Begin SQLEXT." + my_taskid + "_SP("+ ":END_DT_CHAR"+ "); End;" ) # JOB_TYPE=ODS-MAIN my_taskid = "MV_HR_EMPMSF_H" MV_HR_EMPMSF_H = OracleOperatorWithTemplatedParams( task_id=my_taskid, parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}), sql= "Begin SQLEXT." + my_taskid + "_SP("+ ":END_DT_CHAR"+ "); End;" ) # JOB_TYPE=ODS-MAIN my_taskid = "MV_HR_EMPMSF_CN" MV_HR_EMPMSF_CN = OracleOperatorWithTemplatedParams( task_id=my_taskid, parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}), sql= "Begin SQLEXT." + my_taskid + "_SP("+ ":END_DT_CHAR"+ "); End;" ) # JOB_TYPE=ODS-MAIN my_taskid = "MV_HR_EMPMSF_CN_H" MV_HR_EMPMSF_CN_H = OracleOperatorWithTemplatedParams( task_id=my_taskid, parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}), sql= "Begin SQLEXT." + my_taskid + "_SP("+ ":END_DT_CHAR"+ "); End;" ) # JOB_TYPE=ODS-MAIN my_taskid = "MV_HR_EMPMSF_VN" MV_HR_EMPMSF_VN = OracleOperatorWithTemplatedParams( task_id=my_taskid, parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}), sql= "Begin SQLEXT." + my_taskid + "_SP("+ ":END_DT_CHAR"+ "); End;" ) # JOB_TYPE=ODS-MAIN my_taskid = "MV_HR_EMPMSF_VN_H" MV_HR_EMPMSF_VN_H = OracleOperatorWithTemplatedParams( task_id=my_taskid, parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}), sql= "Begin SQLEXT." + my_taskid + "_SP("+ ":END_DT_CHAR"+ "); End;" ) # JOB_TYPE=ODS-MAIN my_taskid = "HR_DEPMSF" HR_DEPMSF = OracleOperatorWithTemplatedParams( task_id=my_taskid, parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}), sql= "Begin SQLEXT." + my_taskid + "_SP("+ ":END_DT_CHAR"+ "); End;" ) # JOB_TYPE=ODS-MAIN my_taskid = "HR_DEPMSF_H" HR_DEPMSF_H = OracleOperatorWithTemplatedParams( task_id=my_taskid, parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}), sql= "Begin SQLEXT." + my_taskid + "_SP("+ ":END_DT_CHAR"+ "); End;" ) # JOB_TYPE=ODS-MAIN my_taskid = "HR_DEPMSF_CN" HR_DEPMSF_CN = OracleOperatorWithTemplatedParams( task_id=my_taskid, parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}), sql= "Begin SQLEXT." + my_taskid + "_SP("+ ":END_DT_CHAR"+ "); End;" ) # JOB_TYPE=ODS-MAIN my_taskid = "HR_DEPMSF_CN_H" HR_DEPMSF_CN_H = OracleOperatorWithTemplatedParams( task_id=my_taskid, parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}), sql= "Begin SQLEXT." + my_taskid + "_SP("+ ":END_DT_CHAR"+ "); End;" ) # JOB_TYPE=ODS-MAIN my_taskid = "HR_DEPMSF_VN" HR_DEPMSF_VN = OracleOperatorWithTemplatedParams( task_id=my_taskid, parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}), sql= "Begin SQLEXT." + my_taskid + "_SP("+ ":END_DT_CHAR"+ "); End;" ) # JOB_TYPE=ODS-MAIN my_taskid = "HR_DEPMSF_VN_H" HR_DEPMSF_VN_H = OracleOperatorWithTemplatedParams( task_id=my_taskid, parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}), sql= "Begin SQLEXT." + my_taskid + "_SP("+ ":END_DT_CHAR"+ "); End;" ) # JOB_TYPE=ODS-MAIN my_taskid = "PEOMSF2" PEOMSF2 = OracleOperatorWithTemplatedParams( task_id=my_taskid, parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}), sql= "Begin SQLEXT." + my_taskid + "_SP("+ ":END_DT_CHAR"+ "); End;" ) # JOB_TYPE=ODS-MAIN my_taskid = "HR_BTYPMSF" HR_BTYPMSF = OracleOperatorWithTemplatedParams( task_id=my_taskid, parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}), sql= "Begin SQLEXT." + my_taskid + "_SP("+ ":END_DT_CHAR"+ "); End;" ) # JOB_TYPE=ODS-MAIN my_taskid = "HR_XXCONTRACT_NQJ" HR_XXCONTRACT_NQJ = OracleOperatorWithTemplatedParams( task_id=my_taskid, parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}), sql= "Begin SQLEXT." + my_taskid + "_SP("+ ":END_DT_CHAR"+ "); End;" ) # JOB_TYPE=ODS-MAIN my_taskid = "HR_LOA_HISTORY" HR_LOA_HISTORY = OracleOperatorWithTemplatedParams( task_id=my_taskid, parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}), sql= "Begin SQLEXT." + my_taskid + "_SP("+ ":END_DT_CHAR"+ "); End;" ) # JOB_TYPE=ODS-MAIN my_taskid = "HR_LOA_RETURN" HR_LOA_RETURN = OracleOperatorWithTemplatedParams( task_id=my_taskid, parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}), sql= "Begin SQLEXT." + my_taskid + "_SP("+ ":END_DT_CHAR"+ "); End;" ) # JOB_TYPE=ODS-MAIN my_taskid = "SDM_PERSONNEL_CATEGORY" SDM_PERSONNEL_CATEGORY = OracleOperatorWithTemplatedParams( task_id=my_taskid, parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}), sql= "Begin SQLEXT." + my_taskid + "_SP("+ ":END_DT_CHAR"+ "); End;" ) # JOB_TYPE=ODS-MAIN my_taskid = "SDM_SENIORITY_AT_WNC" SDM_SENIORITY_AT_WNC = OracleOperatorWithTemplatedParams( task_id=my_taskid, parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}), sql= "Begin SQLEXT." + my_taskid + "_SP("+ ":END_DT_CHAR"+ "); End;" ) # JOB_TYPE=ODS-MAIN my_taskid = "SDM_JOB_GRADE" SDM_JOB_GRADE = OracleOperatorWithTemplatedParams( task_id=my_taskid, parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}), sql= "Begin SQLEXT." + my_taskid + "_SP("+ ":END_DT_CHAR"+ "); End;" ) # JOB_TYPE=ODS-MAIN my_taskid = "SDM_JOB_FAMILY" SDM_JOB_FAMILY = OracleOperatorWithTemplatedParams( task_id=my_taskid, parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}), sql= "Begin SQLEXT." + my_taskid + "_SP("+ ":END_DT_CHAR"+ "); End;" ) # JOB_TYPE=ODS-MAIN my_taskid = "SDM_JOB_CATEGORY" SDM_JOB_CATEGORY = OracleOperatorWithTemplatedParams( task_id=my_taskid, parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}), sql= "Begin SQLEXT." + my_taskid + "_SP("+ ":END_DT_CHAR"+ "); End;" ) # JOB_TYPE=ODS-MAIN my_taskid = "SDM_WORK_PLACE" SDM_WORK_PLACE = OracleOperatorWithTemplatedParams( task_id=my_taskid, parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}), sql= "Begin SQLEXT." + my_taskid + "_SP("+ ":END_DT_CHAR"+ "); End;" ) # JOB_TYPE=ODS-MAIN my_taskid = "SDM_CAUSE_OF_RESIGNING" SDM_CAUSE_OF_RESIGNING = OracleOperatorWithTemplatedParams( task_id=my_taskid, parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}), sql= "Begin SQLEXT." + my_taskid + "_SP("+ ":END_DT_CHAR"+ "); End;" ) # JOB_TYPE=ODS-MAIN my_taskid = "SDM_EDUCATION" SDM_EDUCATION = OracleOperatorWithTemplatedParams( task_id=my_taskid, parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}), sql= "Begin SQLEXT." + my_taskid + "_SP("+ ":END_DT_CHAR"+ "); End;" ) # JOB_TYPE=ODS-MAIN my_taskid = "SDM_EMPLOYMENT_TYPE" SDM_EMPLOYMENT_TYPE = OracleOperatorWithTemplatedParams( task_id=my_taskid, parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}), sql= "Begin SQLEXT." + my_taskid + "_SP("+ ":END_DT_CHAR"+ "); End;" ) # JOB_TYPE=ODS-MAIN my_taskid = "SDM_STAFF_STATUS" SDM_STAFF_STATUS = OracleOperatorWithTemplatedParams( task_id=my_taskid, parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}), sql= "Begin SQLEXT." + my_taskid + "_SP("+ ":END_DT_CHAR"+ "); End;" ) # JOB_TYPE=ODS-MAIN my_taskid = "SDM_DEPARTMENT" SDM_DEPARTMENT = OracleOperatorWithTemplatedParams( task_id=my_taskid, parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}), sql= "Begin SQLEXT." + my_taskid + "_SP("+ ":END_DT_CHAR"+ "); End;" ) # JOB_TYPE=ODS-MAIN my_taskid = "SDM_DEPARTMENT_H" SDM_DEPARTMENT_H = OracleOperatorWithTemplatedParams( task_id=my_taskid, parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}), sql= "Begin SQLEXT." + my_taskid + "_SP("+ ":END_DT_CHAR"+ "); End;" ) # JOB_TYPE=ODS-MAIN my_taskid = "SDM_EMPLOYEE" SDM_EMPLOYEE = OracleOperatorWithTemplatedParams( task_id=my_taskid, parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}), sql= "Begin SQLEXT." + my_taskid + "_SP("+ ":END_DT_CHAR"+ "); End;" ) # JOB_TYPE=ODS-MAIN my_taskid = "SDM_EMPLOYEE_H" SDM_EMPLOYEE_H = OracleOperatorWithTemplatedParams( task_id=my_taskid, parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}), sql= "Begin SQLEXT." + my_taskid + "_SP("+ ":END_DT_CHAR"+ "); End;" ) # JOB_TYPE=ODS-MAIN my_taskid = "SDM_HEADCOUNT_BUDGET" SDM_HEADCOUNT_BUDGET = OracleOperatorWithTemplatedParams( task_id=my_taskid, parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}), sql= "Begin SQLEXT." + my_taskid + "_SP("+ ":END_DT_CHAR"+ "); End;" ) # JOB_TYPE=ODS-MAIN my_taskid = "SDM_NEWCOMERS" SDM_NEWCOMERS = OracleOperatorWithTemplatedParams( task_id=my_taskid, parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}), sql= "Begin SQLEXT." + my_taskid + "_SP("+ ":END_DT_CHAR"+ "); End;" ) # JOB_TYPE=ODS-MAIN my_taskid = "FCT_HEADCOUNT" FCT_HEADCOUNT = OracleOperatorWithTemplatedParams( task_id=my_taskid, parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}), sql= "Begin SQLEXT." + my_taskid + "_SP("+ ",MN_BEG_DT"+ ":END_DT_CHAR"+ "); End;" ) # JOB_TYPE=ODS-MAIN my_taskid = "FCT_HEADCOUNT_FULFILL_RATE" FCT_HEADCOUNT_FULFILL_RATE = OracleOperatorWithTemplatedParams( task_id=my_taskid, parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}), sql= "Begin SQLEXT." + my_taskid + "_SP("+ ":END_DT_CHAR"+ "); End;" )

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0.104621

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12,117

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null

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8

3730609d0587a60db464887b9e2ef29dc7a1a964

8,423

py

Python

sitch/tests/christmas_tree/device_samples.py

codecuisine/sensor

06fb0908178af1ab673b95e7f435b873cc62e61b

[ "ECL-2.0", "Apache-2.0", "BSD-2-Clause" ]

68

2016-08-08T17:28:59.000Z

2021-11-26T09:31:52.000Z

sitch/tests/christmas_tree/device_samples.py

codecuisine/sensor

06fb0908178af1ab673b95e7f435b873cc62e61b

[ "ECL-2.0", "Apache-2.0", "BSD-2-Clause" ]

61

2016-08-20T21:01:01.000Z

2020-07-22T06:10:45.000Z

sitch/tests/christmas_tree/device_samples.py

codecuisine/sensor

06fb0908178af1ab673b95e7f435b873cc62e61b

[ "ECL-2.0", "Apache-2.0", "BSD-2-Clause" ]

40

2017-01-28T23:06:22.000Z

2021-08-13T15:09:43.000Z

class DeviceSamples(object): gps_device_loc_a = {"scan_program": "gpsd", "event_type": "gps_scan", "site_name": "test_site", "sensor_id": "test_sensor_id", "sensor_name": "test_sensor", "type": "Feature", "sat_time": "2017-03-25T00:30:48.000Z", "time_drift": 2, "sys_time": "2017-03-25T00:32:48.416592", "event_timestamp": "2016-05-07 04:10:35", "location": { "type": "Point", "coordinates": [-122.431297, 37.773972]}} gps_device_loc_b = {"scan_program": "gpsd", "event_type": "gps_scan", "site_name": "test_site", "sensor_id": "test_sensor_id", "sensor_name": "test_sensor", "type": "Feature", "sat_time": "2017-03-25T00:30:48.000Z", "time_drift": 2, "sys_time": "2017-03-25T00:32:48.416592", "event_timestamp": "2016-05-07 04:10:35", "location": { "type": "Point", "coordinates": [-100.431297, 32.773972]}} geoip_loc_a = {"scan_program": "geoip", "event_type": "geoip_scan", "event_timestamp": "2016-05-07 04:10:35", "type": "Feature", "location": { "type": "Point", "coordinates": [-122.431297, 37.773972]}} geoip_loc_b = {"scan_program": "geoip", "event_type": "geoip_scan", "event_timestamp": "2016-05-07 04:10:35", "type": "Feature", "location": { "type": "Point", "coordinates": [-100.431297, 32.773972]}} gsm_modem_1 = {"platform": "PLATFORM-NAME", "event_type": "gsm_modem_scan", "scan_results": [ {'bsic': '12', 'mcc': '310', 'rla': 0, 'lac': '178d', 'mnc': '411', 'txp': 05, 'rxl': 33, 'cell': 0, 'rxq': 00, 'ta': 255, 'cellid': '000f', 'arfcn': 154}, {'cell': 1, 'rxl': 20, 'lac': '178d', 'bsic': '30', 'mnc': '411', 'mcc': '310', 'cellid': '0010', 'arfcn': 128}, {'cell': 2, 'rxl': 10, 'lac': '178d', 'bsic': '00', 'mnc': '411', 'mcc': '310', 'cellid': '76e2', 'arfcn': 179}, {'cell': 3, 'rxl': 10, 'lac': '178d', 'bsic': '51', 'mnc': '411', 'mcc': '310', 'cellid': '1208', 'arfcn': 181}, {'cell': 4, 'rxl': 31, 'lac': 0000, 'bsic': '00', 'mnc': '', 'mcc': '', 'cellid': 'ffff', 'arfcn': 237}, {'cell': 5, 'rxl': 23, 'lac': '0000', 'bsic': '00', 'mnc': '', 'mcc': '', 'cellid': 'ffff', 'arfcn': 238}, {'cell': 6, 'rxl': 23, 'lac': '0000', 'bsic': '00', 'mnc': '', 'mcc': '', 'cellid': 'ffff', 'arfcn': 236} ], "scan_start": "", "scan_finish": "2016-05-07 02:36:50", "event_timestamp": '2016-05-07 04:10:35', "scan_program": "gsm_modem", "site_name": "test_site", "sensor_id": "test_sensor_id", "sensor_name": "test_sensor", "scanner_public_ip": "66.18.61.61", "band": "GSM850_MODE"} # This one triggers a no-neighbor alert gsm_modem_2 = {"platform": "PLATFORM-NAME", "event_type": "gsm_modem_scan", "scan_results": [ {'bsic': '12', 'mcc': '310', 'rla': 0, 'lac': '178d', 'mnc': '411', 'txp': 05, 'rxl': 33, 'cell': 0, 'rxq': 00, 'ta': 255, 'cellid': '000f', 'arfcn': 154}, {'cell': 1, 'rxl': 31, 'lac': 0000, 'bsic': '00', 'mnc': '', 'mcc': '', 'cellid': 'ffff', 'arfcn': 237}, {'cell': 2, 'rxl': 23, 'lac': '0000', 'bsic': '00', 'mnc': '', 'mcc': '', 'cellid': 'ffff', 'arfcn': 238}, {'cell': 3, 'rxl': 23, 'lac': '0000', 'bsic': '00', 'mnc': '', 'mcc': '', 'cellid': 'ffff', 'arfcn': 181}, {'cell': 4, 'rxl': 31, 'lac': 0000, 'bsic': '00', 'mnc': '', 'mcc': '', 'cellid': 'ffff', 'arfcn': 237}, {'cell': 5, 'rxl': 23, 'lac': '0000', 'bsic': '00', 'mnc': '', 'mcc': '', 'cellid': 'ffff', 'arfcn': 238}, {'cell': 6, 'rxl': 23, 'lac': '0000', 'bsic': '00', 'mnc': '', 'mcc': '', 'cellid': 'ffff', 'arfcn': 236} ], "scan_start": "", "scan_finish": "2016-05-07 02:36:50", "event_timestamp": '2016-05-07 04:10:35', "scan_program": "gsm_modem", "site_name": "test_site", "sensor_id": "test_sensor_id", "sensor_name": "test_sensor", "scanner_public_ip": "66.18.61.61", "band": "GSM850_MODE"} kal_scan_1 = {'platform': 'PLATFORM-NAME', 'event_type': 'kalibrate_scan', 'scan_finish': '2016-05-07 04:14:30', 'site_name': 'SITE_NAME', 'scanner_public_ip': '0.0.0.0', 'sensor_name': 'SENSOR_NAME', 'sensor_id': 'SENSOR_ID', 'scan_results': [ {'channel_detect_threshold': '279392.605625', 'power': '5909624.47', 'final_freq': '869176168', 'mod_freq': 23832.0, 'band': 'GSM-850', 'sample_rate': '270833.002142', 'gain': '80.0', 'base_freq': 869200000.0, 'device': '0: Generic RTL2832U OEM', 'modifier': '-', 'channel': '12'}, # This should not be in the feed DB {'channel_detect_threshold': '279392.605625', 'power': '5909624.47', 'final_freq': '869176168', 'mod_freq': 23832.0, 'band': 'GSM-850', 'sample_rate': '270833.002142', 'gain': '80.0', 'base_freq': 869200000.0, 'device': '0: Generic RTL2832U OEM', 'modifier': '-', 'channel': '128'}, {'channel_detect_threshold': '279392.605625', 'power': '400160.02', 'final_freq': '874376406', 'mod_freq': 23594.0, 'band': 'GSM-850', 'sample_rate': '270833.002142', 'gain': '80.0', 'base_freq': 874400000.0, 'device': '0: Generic RTL2832U OEM', 'modifier': '-', 'channel': '154'}, {'channel_detect_threshold': '279392.605625', 'power': '401880.05', 'final_freq': '889829992', 'mod_freq': 29992.0, 'band': 'GSM-850', 'sample_rate': '270833.002142', 'gain': '80.0', 'base_freq': 889800000.0, 'device': '0: Generic RTL2832U OEM', 'modifier': '+', 'channel': '231'}, {'channel_detect_threshold': '279392.605625', 'power': '397347.54', 'final_freq': '891996814', 'mod_freq': 3186.0, 'band': 'GSM-850', 'sample_rate': '270833.002142', 'gain': '80.0', 'base_freq': 892000000.0, 'device': '0: Generic RTL2832U OEM', 'modifier': '-', 'channel': '242'}], 'scan_start': '2016-05-07 04:10:35', 'event_timestamp': '2016-05-07 04:10:35', 'scan_program': 'kalibrate'}

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777

8,423

4.043758

0.212355

0.021006

0.028008

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0.846913

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0.762253

0.701464

0

0.187797

0.425976

8,423

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0.462048

0.008429

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0.02635

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null

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1

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null

0

1

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8

2eace84ba4aec462e25df23624f099926a5c1100

3,368

py

Python

fixture/contact.py

AdKrajan/python_training

1315b58c07db4d02bc46ae65e5c358fdbf78dbc0

[ "Apache-2.0" ]

null

fixture/contact.py

AdKrajan/python_training

1315b58c07db4d02bc46ae65e5c358fdbf78dbc0

[ "Apache-2.0" ]

null

fixture/contact.py

AdKrajan/python_training

1315b58c07db4d02bc46ae65e5c358fdbf78dbc0

[ "Apache-2.0" ]

null

class ContactHelper: def __init__(self, app): self.app = app def open_add_contact_page(self): # open add creation new contact wd = self.app.wd wd.find_element_by_link_text("add new").click() def fill_form(self, contact): # fill contacts form wd = self.app.wd self.open_add_contact_page() wd.find_element_by_name("firstname").click() wd.find_element_by_name("firstname").clear() wd.find_element_by_name("firstname").send_keys(contact.first_name) wd.find_element_by_name("lastname").click() wd.find_element_by_name("lastname").clear() wd.find_element_by_name("lastname").send_keys(contact.last_name) wd.find_element_by_name("nickname").click() wd.find_element_by_name("nickname").clear() wd.find_element_by_name("nickname").send_keys(contact.nick) wd.find_element_by_name("home").click() wd.find_element_by_name("home").clear() wd.find_element_by_name("home").send_keys(contact.home_phone) wd.find_element_by_name("mobile").click() wd.find_element_by_name("mobile").clear() wd.find_element_by_name("mobile").send_keys(contact.mobile_phone) wd.find_element_by_name("email").click() wd.find_element_by_name("email").clear() wd.find_element_by_name("email").send_keys(contact.email) wd.find_element_by_xpath("//div[@id='content']/form/input[21]").click() self.back_to_contacts_list() def modification_first_contact(self, contact): wd = self.app.wd self.select_first_contact(wd) # find edit button wd.find_element_by_xpath("//table[@id='maintable']/tbody/tr[2]/td[8]/a/img").click() wd.find_element_by_name("firstname").click() wd.find_element_by_name("firstname").clear() wd.find_element_by_name("firstname").send_keys(contact.first_name) wd.find_element_by_name("lastname").click() wd.find_element_by_name("lastname").clear() wd.find_element_by_name("lastname").send_keys(contact.last_name) wd.find_element_by_name("nickname").click() wd.find_element_by_name("nickname").clear() wd.find_element_by_name("nickname").send_keys(contact.nick) wd.find_element_by_name("home").click() wd.find_element_by_name("home").clear() wd.find_element_by_name("home").send_keys(contact.home_phone) wd.find_element_by_name("mobile").click() wd.find_element_by_name("mobile").clear() wd.find_element_by_name("mobile").send_keys(contact.mobile_phone) wd.find_element_by_name("email").click() wd.find_element_by_name("email").clear() wd.find_element_by_name("email").send_keys(contact.email) wd.find_element_by_name("update").click() self.back_to_contacts_list() def delete_first_contact(self): wd = self.app.wd self.select_first_contact(wd) # find button delete wd.find_element_by_xpath("//div[@id='content']/form[2]/div[2]/input").click() wd.switch_to_alert().accept() self.back_to_contacts_list() def select_first_contact(self, wd): wd.find_element_by_name("selected[]").click() def back_to_contacts_list(self): wd = self.app.wd wd.find_element_by_link_text("home").click()

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9

2eb2974027709cc1e0ec9dc6c67cf2fab7162c13

4,875

py

Python

model/model_config.py

shijun18/TMLI-PLAN

0097d5674852eba75487b153600fc1cd5518b2a8

[ "MIT" ]

6

2021-07-26T08:01:55.000Z

2022-02-07T01:52:53.000Z

model/model_config.py

shijun18/TMLI-PLAN

0097d5674852eba75487b153600fc1cd5518b2a8

[ "MIT" ]

null

model/model_config.py

shijun18/TMLI-PLAN

0097d5674852eba75487b153600fc1cd5518b2a8

[ "MIT" ]

2

2022-02-28T07:13:12.000Z

2022-03-01T07:12:52.000Z

MODEL_CONFIG = { 'unet':{ 'simplenet':{ 'in_channels':1, 'encoder_name':'simplenet', 'encoder_depth':5, 'encoder_channels':[32,64,128,256,512], #[1,2,4,8,16] 'encoder_weights':None, 'decoder_use_batchnorm':True, 'decoder_attention_type':None, 'decoder_channels':[256,128,64,32], #[8,4,2,1] 'upsampling':1, 'classes':2, 'aux_classifier': False }, 'swin_transformer':{ 'in_channels':1, 'encoder_name':'swin_transformer', 'encoder_depth':4, 'encoder_channels':[96,192,384,768], #[4,8,16,32] 'encoder_weights':None, 'decoder_use_batchnorm':True, 'decoder_attention_type':None, 'decoder_channels':[256,128,64], #[16,8,4] 'upsampling':4, 'classes':2, 'aux_classifier': False }, 'swinplusr18':{ 'in_channels':1, 'encoder_name':'swinplusr18', 'encoder_depth':5, 'encoder_channels':[64,64,128,256,512], #[2,4,8,16,32] 'encoder_weights':None, 'decoder_use_batchnorm':True, 'decoder_attention_type':None, 'decoder_channels':[256,128,64,32], #[16,8,4,2] 'upsampling':2, 'classes':2, 'aux_classifier': False } }, # att unet 'att_unet':{ 'simplenet':{ 'in_channels':1, 'encoder_name':'simplenet', 'encoder_depth':5, 'encoder_channels':[32,64,128,256,512], #[1,2,4,8,16] 'encoder_weights':None, 'decoder_use_batchnorm':True, 'decoder_attention_type':None, 'decoder_channels':[256,128,64,32], #[8,4,2,1] 'upsampling':1, 'classes':2, 'aux_classifier': False }, 'swin_transformer':{ 'in_channels':1, 'encoder_name':'swin_transformer', 'encoder_depth':4, 'encoder_channels':[96,192,384,768], #[4,8,16,32] 'encoder_weights':None, 'decoder_use_batchnorm':True, 'decoder_attention_type':None, 'decoder_channels':[256,128,64], #[16,8,4] 'upsampling':4, 'classes':2, 'aux_classifier': False }, 'resnet18':{ 'in_channels':1, 'encoder_name':'resnet18', 'encoder_depth':5, 'encoder_channels':[64,64,128,256,512], #[2,4,8,16,32] 'encoder_weights':None, 'decoder_use_batchnorm':True, 'decoder_attention_type':None, 'decoder_channels':[256,128,64,32], #[16,8,4,2] 'upsampling':2, 'classes':2, 'aux_classifier': False } }, # res unet 'res_unet':{ 'simplenet':{ 'in_channels':1, 'encoder_name':'simplenet_res', 'encoder_depth':5, 'encoder_channels':[32,64,128,256,512], #[1,2,4,8,16] 'encoder_weights':None, 'decoder_use_batchnorm':True, 'decoder_attention_type':None, 'decoder_channels':[256,128,64,32], #[8,4,2,1] 'upsampling':1, 'classes':2, 'aux_classifier': False }, 'resnet18':{ 'in_channels':1, 'encoder_name':'resnet18', 'encoder_depth':5, 'encoder_channels':[64,64,128,256,512], #[2,4,8,16,32] 'encoder_weights':None, 'decoder_use_batchnorm':True, 'decoder_attention_type':None, 'decoder_channels':[256,128,64,32], #[16,8,4,2] 'upsampling':2, 'classes':2, 'aux_classifier': False }, 'swinplusr18':{ 'in_channels':1, 'encoder_name':'swinplusr18', 'encoder_depth':5, 'encoder_channels':[64,64,128,256,512], #[2,4,8,16,32] 'encoder_weights':None, 'decoder_use_batchnorm':True, 'decoder_attention_type':None, 'decoder_channels':[256,128,64,32], #[16,8,4,2] 'upsampling':2, 'classes':2, 'aux_classifier': False } }, # deeplabv3+ 'deeplabv3+':{ 'swinplusr18':{ 'in_channels':1, 'encoder_name':'swinplusr18', 'encoder_weights':None, 'encoder_depth':5, 'encoder_channels':[64,64,128,256,512], #[2,4,8,16,32] 'encoder_output_stride':32, #[8,16,32] 'decoder_channels':256, #[4] 'decoder_atrous_rates':(12, 24, 36), 'upsampling':4, 'classes':2, 'aux_classifier': False } } }

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2ef48423560f58a00ccd135216e6bc0bac6865e7

14,022

py

Python

tests/multirun/test_basic_serial.py

ORNL-Fusion/IPS-framework

b91951032393cc15eb828cf787d583ea686204cc

[ "BSD-3-Clause" ]

null

tests/multirun/test_basic_serial.py

ORNL-Fusion/IPS-framework

b91951032393cc15eb828cf787d583ea686204cc

[ "BSD-3-Clause" ]

null

tests/multirun/test_basic_serial.py

ORNL-Fusion/IPS-framework

b91951032393cc15eb828cf787d583ea686204cc

[ "BSD-3-Clause" ]

null

import os import shutil import glob import pytest from ipsframework import Framework def copy_config_and_replace(infile, srcdir, tmpdir): with open(os.path.join(srcdir, infile), "r") as fin: with open(os.path.join(tmpdir, infile), "w") as fout: for line in fin: if line.startswith("SIM_ROOT"): fout.write(f"SIM_ROOT = {tmpdir}/$SIM_NAME\n") IPS_ROOT = os.path.abspath(os.path.join(srcdir, '..', '..')) fout.write(f"IPS_ROOT = {IPS_ROOT}\n") else: fout.write(line) @pytest.mark.skipif(not shutil.which('mpirun'), reason="requires mpirun") def test_basic_serial1(tmpdir, capfd): datadir = os.path.dirname(__file__) copy_config_and_replace("basic_serial1.ips", datadir, tmpdir) shutil.copy(os.path.join(datadir, "platform.conf"), tmpdir) # setup 'input' files os.system(f"cd {tmpdir}; touch file1 ofile1 ofile2 sfile1 sfile2") framework = Framework(config_file_list=[os.path.join(tmpdir, 'basic_serial1.ips')], log_file_name=os.path.join(tmpdir, 'test.log'), platform_file_name=os.path.join(tmpdir, "platform.conf"), debug=None, verbose_debug=None, cmd_nodes=0, cmd_ppn=0) framework.run() # Check stdout captured = capfd.readouterr() captured_out = captured.out.split('\n') assert captured_out[0].startswith("Starting IPS") assert captured_out[1] == "Created <class 'small_worker.small_worker'>" assert captured_out[2] == "Created <class 'medium_worker.medium_worker'>" assert captured_out[3] == "Created <class 'large_worker.large_worker'>" assert captured_out[4] == "small_worker : init() called" assert captured_out[6] == "medium_worker : init() called" assert captured_out[8] == "large_worker : init() called" assert captured_out[10] == "Current time = 3.50" assert captured_out[11] == "Current time = 3.60" assert captured_out[12] == "Current time = 3.70" # check files copied and created driver_files = [os.path.basename(f) for f in glob.glob(str(tmpdir.join("test_basic_serial1_0/work/drivers_testing_basic_serial1_*/*")))] for infile in ["file1", "ofile1", "ofile2", "sfile1", "sfile2"]: assert infile in driver_files small_worker_files = [os.path.basename(f) for f in glob.glob(str(tmpdir.join("test_basic_serial1_0/work/workers_testing_small_worker_*/*")))] medium_worker_files = [os.path.basename(f) for f in glob.glob(str(tmpdir.join("test_basic_serial1_0/work/workers_testing_medium_worker_*/*")))] large_worker_files = [os.path.basename(f) for f in glob.glob(str(tmpdir.join("test_basic_serial1_0/work/workers_testing_large_worker_*/*")))] for outfile in ["my_out3.50", "my_out3.60", "my_out3.70"]: assert outfile in small_worker_files assert outfile in medium_worker_files assert outfile in large_worker_files # check contents of my_out files for outfile in ["my_out3.50", "my_out3.60", "my_out3.70"]: for worker in ["workers_testing_small_worker_2", "workers_testing_medium_worker_3"]: with open(str(tmpdir.join("test_basic_serial1_0/work").join(worker).join(outfile)), 'r') as f: lines = f.readlines() assert "results = ['Rank 0 slept for 1.0 seconds']\n" in lines worker = "workers_testing_large_worker_4" with open(str(tmpdir.join("test_basic_serial1_0/work").join(worker).join(outfile)), 'r') as f: lines = f.readlines() assert "results = ['Rank 0 slept for 1.0 seconds', 'Rank 1 slept for 1.0 seconds']\n" in lines # check sim log file with open(str(tmpdir.join("test_basic_serial1_0").join("test_basic_serial1_0.log")), 'r') as f: lines = f.readlines() # remove timestamp lines = [line[24:] for line in lines] for worker in ["small_worker_2", "medium_worker_3", "large_worker_4"]: for timestamp in ["3.50", "3.60", "3.70"]: assert f'workers_testing_{worker} INFO Stepping Worker timestamp={timestamp}\n' in lines @pytest.mark.skipif(not shutil.which('mpirun'), reason="requires mpirun") def test_basic_serial_multi(tmpdir, capfd): # This is the same as test_basic_serial1 except that 2 simulation files are use at the same time datadir = os.path.dirname(__file__) copy_config_and_replace("basic_serial1.ips", datadir, tmpdir) copy_config_and_replace("basic_serial2.ips", datadir, tmpdir) shutil.copy(os.path.join(datadir, "platform.conf"), tmpdir) # setup 'input' files os.system(f"cd {tmpdir}; touch file1 ofile1 ofile2 sfile1 sfile2") framework = Framework(config_file_list=[os.path.join(tmpdir, 'basic_serial1.ips'), os.path.join(tmpdir, 'basic_serial2.ips')], log_file_name=os.path.join(tmpdir, 'test.log'), platform_file_name=os.path.join(tmpdir, "platform.conf"), debug=None, verbose_debug=None, cmd_nodes=0, cmd_ppn=0) framework.run() # Check stdout # skip checking the output because they sometimes write over the top of each other when running in parallel """ captured = capfd.readouterr() captured_out = captured.out.split('\n') assert captured_out[0] == "Created <class 'small_worker.small_worker'>" assert captured_out[1] == "Created <class 'medium_worker.medium_worker'>" assert captured_out[2] == "Created <class 'large_worker.large_worker'>" assert captured_out[3] == "Created <class 'small_worker.small_worker'>" assert captured_out[4] == "Created <class 'medium_worker.medium_worker'>" assert captured_out[5] == "Created <class 'large_worker.large_worker'>" assert captured_out[7] == "small_worker : init() called" assert captured_out[9] == "small_worker : init() called" assert captured_out[11] == "medium_worker : init() called" assert captured_out[13] == "medium_worker : init() called" assert captured_out[15] == "large_worker : init() called" assert captured_out[17] == "large_worker : init() called" assert captured_out[19] == "Current time = 1.00" assert captured_out[20] == "Current time = 1.00" assert captured_out[21] == "Current time = 2.00" assert captured_out[22] == "Current time = 2.00" assert captured_out[23] == "Current time = 3.00" assert captured_out[24] == "Current time = 3.00" """ # check files copied and created for no in ["1", "2"]: # This should also work for 2 if no == "2": continue driver_files = [os.path.basename(f) for f in glob.glob(str(tmpdir.join(f"test_basic_serial{no}_0/work/drivers_testing_basic_serial1_*/*")))] for infile in ["file1", "ofile1", "ofile2", "sfile1", "sfile2"]: assert infile in driver_files small_worker_files = [os.path.basename(f) for f in glob.glob(str(tmpdir.join(f"test_basic_serial{no}_0/work/workers_testing_small_worker_*/*")))] medium_worker_files = [os.path.basename(f) for f in glob.glob(str(tmpdir.join(f"test_basic_serial{no}_0/work/workers_testing_medium_worker_*/*")))] large_worker_files = [os.path.basename(f) for f in glob.glob(str(tmpdir.join(f"test_basic_serial{no}_0/work/workers_testing_large_worker_*/*")))] for outfile in ["my_out3.50", "my_out3.60", "my_out3.70"]: assert outfile in small_worker_files assert outfile in medium_worker_files assert outfile in large_worker_files # check contents of my_out files for outfile in ["my_out3.50", "my_out3.60", "my_out3.70"]: for worker in ["workers_testing_small_worker_2", "workers_testing_medium_worker_3"]: with open(str(tmpdir.join("test_basic_serial1_0/work").join(worker).join(outfile)), 'r') as f: lines = f.readlines() assert "results = ['Rank 0 slept for 1.0 seconds']\n" in lines worker = "workers_testing_large_worker_4" with open(str(tmpdir.join("test_basic_serial1_0/work").join(worker).join(outfile)), 'r') as f: lines = f.readlines() assert "results = ['Rank 0 slept for 1.0 seconds', 'Rank 1 slept for 1.0 seconds']\n" in lines for outfile in ["my_out3.40", "my_out3.50", "my_out3.60"]: for worker in ["workers_testing_small_worker_6", "workers_testing_medium_worker_7"]: with open(str(tmpdir.join("test_basic_serial2_0/work").join(worker).join(outfile)), 'r') as f: lines = f.readlines() assert "results = ['Rank 0 slept for 1.0 seconds']\n" in lines worker = "workers_testing_large_worker_8" with open(str(tmpdir.join("test_basic_serial2_0/work").join(worker).join(outfile)), 'r') as f: lines = f.readlines() assert "results = ['Rank 0 slept for 1.0 seconds', 'Rank 1 slept for 1.0 seconds']\n" in lines # check basic_serial1 sim log file with open(str(tmpdir.join("test_basic_serial1_0").join("test_basic_serial1_0.log")), 'r') as f: lines = f.readlines() # remove timestamp lines = [line[24:] for line in lines] for worker in ["small_worker_2", "medium_worker_3", "large_worker_4"]: for timestamp in ["3.50", "3.60", "3.70"]: assert f'workers_testing_{worker} INFO Stepping Worker timestamp={timestamp}\n' in lines # check basic_serial2 sim log file with open(str(tmpdir.join("test_basic_serial2_0").join("test_basic_serial2_0.log")), 'r') as f: lines = f.readlines() # remove timestamp lines = [line[24:] for line in lines] for worker in ["small_worker_6", "medium_worker_7", "large_worker_8"]: for timestamp in ["3.40", "3.50", "3.60"]: assert f'workers_testing_{worker} INFO Stepping Worker timestamp={timestamp}\n' in lines @pytest.mark.skipif(not shutil.which('mpirun'), reason="requires mpirun") def test_basic_concurrent1(tmpdir, capfd): datadir = os.path.dirname(__file__) copy_config_and_replace("basic_concurrent1.ips", datadir, tmpdir) shutil.copy(os.path.join(datadir, "platform.conf"), tmpdir) # setup 'input' files os.system(f"cd {tmpdir}; touch file1 ofile1 ofile2 sfile1 sfile2") framework = Framework(config_file_list=[os.path.join(tmpdir, 'basic_concurrent1.ips')], log_file_name=os.path.join(tmpdir, 'test.log'), platform_file_name=os.path.join(tmpdir, "platform.conf"), debug=None, verbose_debug=None, cmd_nodes=0, cmd_ppn=0) framework.run() # Check stdout captured = capfd.readouterr() captured_out = captured.out.split('\n') assert captured_out[0].startswith("Starting IPS") assert captured_out[1] == "Created <class 'small_worker.small_worker'>" assert captured_out[2] == "Created <class 'medium_worker.medium_worker'>" assert captured_out[3] == "Created <class 'large_worker.large_worker'>" assert captured_out[4] == "small_worker : init() called" assert captured_out[6] == "medium_worker : init() called" assert captured_out[8] == "large_worker : init() called" assert captured_out[10] == "Current time = 3.50" assert captured_out[11] == "nonblocking wait_call() invoked before call 10 finished" assert captured_out[12] == "Current time = 3.60" assert captured_out[13] == "nonblocking wait_call() invoked before call 13 finished" assert captured_out[14] == "Current time = 3.70" assert captured_out[15] == "nonblocking wait_call() invoked before call 16 finished" # check files copied and created driver_files = [os.path.basename(f) for f in glob.glob(str(tmpdir.join("test_basic_concurrent1_0/work/drivers_testing_basic_concurrent1_*/*")))] for infile in ["file1", "ofile1", "ofile2", "sfile1", "sfile2"]: assert infile in driver_files small_worker_files = [os.path.basename(f) for f in glob.glob(str(tmpdir.join("test_basic_concurrent1_0/work/workers_testing_small_worker_*/*")))] medium_worker_files = [os.path.basename(f) for f in glob.glob(str(tmpdir.join("test_basic_concurrent1_0/work/workers_testing_medium_worker_*/*")))] large_worker_files = [os.path.basename(f) for f in glob.glob(str(tmpdir.join("test_basic_concurrent1_0/work/workers_testing_large_worker_*/*")))] for outfile in ["my_out3.50", "my_out3.60", "my_out3.70"]: assert outfile in small_worker_files assert outfile in medium_worker_files assert outfile in large_worker_files # check contents of my_out files for outfile in ["my_out3.50", "my_out3.60", "my_out3.70"]: for worker in ["workers_testing_small_worker_2", "workers_testing_medium_worker_3"]: with open(str(tmpdir.join("test_basic_concurrent1_0/work").join(worker).join(outfile)), 'r') as f: lines = f.readlines() assert "results = ['Rank 0 slept for 1.0 seconds']\n" in lines worker = "workers_testing_large_worker_4" with open(str(tmpdir.join("test_basic_concurrent1_0/work").join(worker).join(outfile)), 'r') as f: lines = f.readlines() assert "results = ['Rank 0 slept for 1.0 seconds', 'Rank 1 slept for 1.0 seconds']\n" in lines # check sim log file with open(str(tmpdir.join("test_basic_concurrent1_0").join("test_basic_concurrent1_0.log")), 'r') as f: lines = f.readlines() # remove timestamp lines = [line[24:] for line in lines] for worker in ["small_worker_2", "medium_worker_3", "large_worker_4"]: for timestamp in ["3.50", "3.60", "3.70"]: assert f'workers_testing_{worker} INFO Stepping Worker timestamp={timestamp}\n' in lines

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null

0

7

d31440ed4e9fbf947a8c3d508857ceca16c6aead

113

py

Python

saleor/core/__init__.py

X10project/rob_photography

baaeed11e13d1f4977c24f5f6601b1c6fbcf39b5

[ "BSD-3-Clause" ]

3

2015-12-30T19:06:27.000Z

2021-10-06T04:23:36.000Z

saleor/core/__init__.py

X10project/rob_photography

baaeed11e13d1f4977c24f5f6601b1c6fbcf39b5

[ "BSD-3-Clause" ]

null

saleor/core/__init__.py

X10project/rob_photography

baaeed11e13d1f4977c24f5f6601b1c6fbcf39b5

[ "BSD-3-Clause" ]

4

2019-09-17T11:39:41.000Z

2022-01-24T10:22:50.000Z

TOKEN_PATTERN = ('(?P<token>[0-9a-z]{8}-[0-9a-z]{4}-[0-9a-z]{4}-[0-9a-z]{4}' '-[0-9a-z]{12})')

28.25

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d32980615396492dbc9c686b56facfbaafbfdd70

169,101

py

Python

dingtalk/python/alibabacloud_dingtalk/exclusive_1_0/models.py

aliyun/dingtalk-sdk

ab4f856b8cfe94f6b69f10a0730a2e5a7d4901c5

[ "Apache-2.0" ]

15

2020-08-27T04:10:26.000Z

2022-03-07T06:25:42.000Z

dingtalk/python/alibabacloud_dingtalk/exclusive_1_0/models.py

aliyun/dingtalk-sdk

ab4f856b8cfe94f6b69f10a0730a2e5a7d4901c5

[ "Apache-2.0" ]

1

2020-09-27T01:30:46.000Z

2021-12-29T09:15:34.000Z

dingtalk/python/alibabacloud_dingtalk/exclusive_1_0/models.py

aliyun/dingtalk-sdk

ab4f856b8cfe94f6b69f10a0730a2e5a7d4901c5

[ "Apache-2.0" ]

5

2020-08-27T04:07:44.000Z

2021-12-03T02:55:20.000Z

# -*- coding: utf-8 -*- # This file is auto-generated, don't edit it. Thanks. from Tea.model import TeaModel from typing import Dict, List, Any class GetConferenceDetailHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class GetConferenceDetailResponseBodyMemberList(TeaModel): def __init__( self, union_id: str = None, name: str = None, attend_duration: float = None, staff_id: str = None, ): # 用户uid self.union_id = union_id # 用户昵称 self.name = name # 参会时长 self.attend_duration = attend_duration # 员工id self.staff_id = staff_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.union_id is not None: result['unionId'] = self.union_id if self.name is not None: result['name'] = self.name if self.attend_duration is not None: result['attendDuration'] = self.attend_duration if self.staff_id is not None: result['staffId'] = self.staff_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('unionId') is not None: self.union_id = m.get('unionId') if m.get('name') is not None: self.name = m.get('name') if m.get('attendDuration') is not None: self.attend_duration = m.get('attendDuration') if m.get('staffId') is not None: self.staff_id = m.get('staffId') return self class GetConferenceDetailResponseBody(TeaModel): def __init__( self, conference_id: str = None, title: str = None, conf_start_time: float = None, duration: float = None, total_num: int = None, attendee_num: int = None, attendee_percentage: str = None, caller_id: str = None, caller_name: str = None, member_list: List[GetConferenceDetailResponseBodyMemberList] = None, ): # 会议ID self.conference_id = conference_id # 会议标题 self.title = title # 开始时间 self.conf_start_time = conf_start_time # 持续时间 self.duration = duration # 会议人数 self.total_num = total_num # 出席会议人数 self.attendee_num = attendee_num # 出席率 self.attendee_percentage = attendee_percentage # 发起人uid self.caller_id = caller_id # 发起人昵称 self.caller_name = caller_name # 参会人员列表 self.member_list = member_list def validate(self): if self.member_list: for k in self.member_list: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.conference_id is not None: result['conferenceId'] = self.conference_id if self.title is not None: result['title'] = self.title if self.conf_start_time is not None: result['confStartTime'] = self.conf_start_time if self.duration is not None: result['duration'] = self.duration if self.total_num is not None: result['totalNum'] = self.total_num if self.attendee_num is not None: result['attendeeNum'] = self.attendee_num if self.attendee_percentage is not None: result['attendeePercentage'] = self.attendee_percentage if self.caller_id is not None: result['callerId'] = self.caller_id if self.caller_name is not None: result['callerName'] = self.caller_name result['memberList'] = [] if self.member_list is not None: for k in self.member_list: result['memberList'].append(k.to_map() if k else None) return result def from_map(self, m: dict = None): m = m or dict() if m.get('conferenceId') is not None: self.conference_id = m.get('conferenceId') if m.get('title') is not None: self.title = m.get('title') if m.get('confStartTime') is not None: self.conf_start_time = m.get('confStartTime') if m.get('duration') is not None: self.duration = m.get('duration') if m.get('totalNum') is not None: self.total_num = m.get('totalNum') if m.get('attendeeNum') is not None: self.attendee_num = m.get('attendeeNum') if m.get('attendeePercentage') is not None: self.attendee_percentage = m.get('attendeePercentage') if m.get('callerId') is not None: self.caller_id = m.get('callerId') if m.get('callerName') is not None: self.caller_name = m.get('callerName') self.member_list = [] if m.get('memberList') is not None: for k in m.get('memberList'): temp_model = GetConferenceDetailResponseBodyMemberList() self.member_list.append(temp_model.from_map(k)) return self class GetConferenceDetailResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: GetConferenceDetailResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = GetConferenceDetailResponseBody() self.body = temp_model.from_map(m['body']) return self class GetUserAppVersionSummaryHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class GetUserAppVersionSummaryRequest(TeaModel): def __init__( self, next_token: int = None, max_results: int = None, ): # 启始数据游标 self.next_token = next_token # 每页包含的数据条数 self.max_results = max_results def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.next_token is not None: result['nextToken'] = self.next_token if self.max_results is not None: result['maxResults'] = self.max_results return result def from_map(self, m: dict = None): m = m or dict() if m.get('nextToken') is not None: self.next_token = m.get('nextToken') if m.get('maxResults') is not None: self.max_results = m.get('maxResults') return self class GetUserAppVersionSummaryResponseBodyData(TeaModel): def __init__( self, stat_date: str = None, org_name: str = None, client: str = None, app_version: str = None, user_cnt: float = None, ): # 统计日期 self.stat_date = stat_date # 组织名称 self.org_name = org_name # 端信息 self.client = client # 版本信息 self.app_version = app_version # 用户数 self.user_cnt = user_cnt def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.stat_date is not None: result['statDate'] = self.stat_date if self.org_name is not None: result['orgName'] = self.org_name if self.client is not None: result['client'] = self.client if self.app_version is not None: result['appVersion'] = self.app_version if self.user_cnt is not None: result['userCnt'] = self.user_cnt return result def from_map(self, m: dict = None): m = m or dict() if m.get('statDate') is not None: self.stat_date = m.get('statDate') if m.get('orgName') is not None: self.org_name = m.get('orgName') if m.get('client') is not None: self.client = m.get('client') if m.get('appVersion') is not None: self.app_version = m.get('appVersion') if m.get('userCnt') is not None: self.user_cnt = m.get('userCnt') return self class GetUserAppVersionSummaryResponseBody(TeaModel): def __init__( self, data: List[GetUserAppVersionSummaryResponseBodyData] = None, next_token: int = None, has_more: bool = None, ): # 用户版本分布情况列表 self.data = data # 下一次请求的分页游标 self.next_token = next_token # 是否有更多数据 self.has_more = has_more def validate(self): if self.data: for k in self.data: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() result['data'] = [] if self.data is not None: for k in self.data: result['data'].append(k.to_map() if k else None) if self.next_token is not None: result['nextToken'] = self.next_token if self.has_more is not None: result['hasMore'] = self.has_more return result def from_map(self, m: dict = None): m = m or dict() self.data = [] if m.get('data') is not None: for k in m.get('data'): temp_model = GetUserAppVersionSummaryResponseBodyData() self.data.append(temp_model.from_map(k)) if m.get('nextToken') is not None: self.next_token = m.get('nextToken') if m.get('hasMore') is not None: self.has_more = m.get('hasMore') return self class GetUserAppVersionSummaryResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: GetUserAppVersionSummaryResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = GetUserAppVersionSummaryResponseBody() self.body = temp_model.from_map(m['body']) return self class DeleteCommentHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class DeleteCommentResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: bool = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: self.body = m.get('body') return self class ListMiniAppHistoryVersionHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class ListMiniAppHistoryVersionRequest(TeaModel): def __init__( self, page_size: int = None, page_number: int = None, mini_app_id: str = None, ): # 分页大小 self.page_size = page_size # 分页码 self.page_number = page_number # 小程序id self.mini_app_id = mini_app_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.page_size is not None: result['pageSize'] = self.page_size if self.page_number is not None: result['pageNumber'] = self.page_number if self.mini_app_id is not None: result['miniAppId'] = self.mini_app_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('pageSize') is not None: self.page_size = m.get('pageSize') if m.get('pageNumber') is not None: self.page_number = m.get('pageNumber') if m.get('miniAppId') is not None: self.mini_app_id = m.get('miniAppId') return self class ListMiniAppHistoryVersionResponseBodyList(TeaModel): def __init__( self, package_url: str = None, package_size: str = None, build_status: int = None, version: str = None, h_5bundle: str = None, ): # 包url self.package_url = package_url # 包大小 self.package_size = package_size # 构建状态 self.build_status = build_status # 版本 self.version = version # h5Bundle地址 self.h_5bundle = h_5bundle def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.package_url is not None: result['packageUrl'] = self.package_url if self.package_size is not None: result['packageSize'] = self.package_size if self.build_status is not None: result['buildStatus'] = self.build_status if self.version is not None: result['version'] = self.version if self.h_5bundle is not None: result['h5Bundle'] = self.h_5bundle return result def from_map(self, m: dict = None): m = m or dict() if m.get('packageUrl') is not None: self.package_url = m.get('packageUrl') if m.get('packageSize') is not None: self.package_size = m.get('packageSize') if m.get('buildStatus') is not None: self.build_status = m.get('buildStatus') if m.get('version') is not None: self.version = m.get('version') if m.get('h5Bundle') is not None: self.h_5bundle = m.get('h5Bundle') return self class ListMiniAppHistoryVersionResponseBody(TeaModel): def __init__( self, list: List[ListMiniAppHistoryVersionResponseBodyList] = None, ): # result self.list = list def validate(self): if self.list: for k in self.list: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() result['list'] = [] if self.list is not None: for k in self.list: result['list'].append(k.to_map() if k else None) return result def from_map(self, m: dict = None): m = m or dict() self.list = [] if m.get('list') is not None: for k in m.get('list'): temp_model = ListMiniAppHistoryVersionResponseBodyList() self.list.append(temp_model.from_map(k)) return self class ListMiniAppHistoryVersionResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: ListMiniAppHistoryVersionResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = ListMiniAppHistoryVersionResponseBody() self.body = temp_model.from_map(m['body']) return self class GetDocCreatedDeptSummaryHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class GetDocCreatedDeptSummaryRequest(TeaModel): def __init__( self, next_token: int = None, max_results: int = None, ): # 启始数据游标 self.next_token = next_token # 每页包含的数据条数 self.max_results = max_results def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.next_token is not None: result['nextToken'] = self.next_token if self.max_results is not None: result['maxResults'] = self.max_results return result def from_map(self, m: dict = None): m = m or dict() if m.get('nextToken') is not None: self.next_token = m.get('nextToken') if m.get('maxResults') is not None: self.max_results = m.get('maxResults') return self class GetDocCreatedDeptSummaryResponseBodyData(TeaModel): def __init__( self, dept_id: str = None, dept_name: str = None, doc_created_cnt: str = None, ): # 部门id self.dept_id = dept_id # 部门名称 self.dept_name = dept_name # 最近1天累计钉钉文档创建数 self.doc_created_cnt = doc_created_cnt def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.dept_id is not None: result['deptId'] = self.dept_id if self.dept_name is not None: result['deptName'] = self.dept_name if self.doc_created_cnt is not None: result['docCreatedCnt'] = self.doc_created_cnt return result def from_map(self, m: dict = None): m = m or dict() if m.get('deptId') is not None: self.dept_id = m.get('deptId') if m.get('deptName') is not None: self.dept_name = m.get('deptName') if m.get('docCreatedCnt') is not None: self.doc_created_cnt = m.get('docCreatedCnt') return self class GetDocCreatedDeptSummaryResponseBody(TeaModel): def __init__( self, data: List[GetDocCreatedDeptSummaryResponseBodyData] = None, next_token: int = None, has_more: bool = None, ): # 部门维度用户创建文档数 self.data = data # 下一次请求的分页游标 self.next_token = next_token # 是否有更多数据 self.has_more = has_more def validate(self): if self.data: for k in self.data: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() result['data'] = [] if self.data is not None: for k in self.data: result['data'].append(k.to_map() if k else None) if self.next_token is not None: result['nextToken'] = self.next_token if self.has_more is not None: result['hasMore'] = self.has_more return result def from_map(self, m: dict = None): m = m or dict() self.data = [] if m.get('data') is not None: for k in m.get('data'): temp_model = GetDocCreatedDeptSummaryResponseBodyData() self.data.append(temp_model.from_map(k)) if m.get('nextToken') is not None: self.next_token = m.get('nextToken') if m.get('hasMore') is not None: self.has_more = m.get('hasMore') return self class GetDocCreatedDeptSummaryResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: GetDocCreatedDeptSummaryResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = GetDocCreatedDeptSummaryResponseBody() self.body = temp_model.from_map(m['body']) return self class CreateTrustedDeviceHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class CreateTrustedDeviceRequest(TeaModel): def __init__( self, user_id: str = None, platform: str = None, mac_address: str = None, status: int = None, ): # 员工userId self.user_id = user_id # 平台类型 self.platform = platform # mac地址 self.mac_address = mac_address # 设备状态 self.status = status def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.user_id is not None: result['userId'] = self.user_id if self.platform is not None: result['platform'] = self.platform if self.mac_address is not None: result['macAddress'] = self.mac_address 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('userId') is not None: self.user_id = m.get('userId') if m.get('platform') is not None: self.platform = m.get('platform') if m.get('macAddress') is not None: self.mac_address = m.get('macAddress') if m.get('status') is not None: self.status = m.get('status') return self class CreateTrustedDeviceResponseBody(TeaModel): def __init__( self, success: bool = None, ): self.success = success def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.success is not None: result['success'] = self.success return result def from_map(self, m: dict = None): m = m or dict() if m.get('success') is not None: self.success = m.get('success') return self class CreateTrustedDeviceResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: CreateTrustedDeviceResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = CreateTrustedDeviceResponseBody() self.body = temp_model.from_map(m['body']) return self class GetPartnerTypeByParentIdHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class GetPartnerTypeByParentIdResponseBodyData(TeaModel): def __init__( self, type_id: float = None, type_name: str = None, ): # 自标签id self.type_id = type_id # 子标签名 self.type_name = type_name def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.type_id is not None: result['typeId'] = self.type_id if self.type_name is not None: result['typeName'] = self.type_name return result def from_map(self, m: dict = None): m = m or dict() if m.get('typeId') is not None: self.type_id = m.get('typeId') if m.get('typeName') is not None: self.type_name = m.get('typeName') return self class GetPartnerTypeByParentIdResponseBody(TeaModel): def __init__( self, data: List[GetPartnerTypeByParentIdResponseBodyData] = None, ): # 子标签列表 self.data = data def validate(self): if self.data: for k in self.data: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() result['data'] = [] if self.data is not None: for k in self.data: result['data'].append(k.to_map() if k else None) return result def from_map(self, m: dict = None): m = m or dict() self.data = [] if m.get('data') is not None: for k in m.get('data'): temp_model = GetPartnerTypeByParentIdResponseBodyData() self.data.append(temp_model.from_map(k)) return self class GetPartnerTypeByParentIdResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: GetPartnerTypeByParentIdResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = GetPartnerTypeByParentIdResponseBody() self.body = temp_model.from_map(m['body']) return self class SetDeptPartnerTypeAndNumHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class SetDeptPartnerTypeAndNumRequest(TeaModel): def __init__( self, dept_id: str = None, partner_num: str = None, label_ids: List[str] = None, ): # 部门id self.dept_id = dept_id # 伙伴编码 self.partner_num = partner_num # 伙伴类型id列表 self.label_ids = label_ids def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.dept_id is not None: result['deptId'] = self.dept_id if self.partner_num is not None: result['partnerNum'] = self.partner_num if self.label_ids is not None: result['labelIds'] = self.label_ids return result def from_map(self, m: dict = None): m = m or dict() if m.get('deptId') is not None: self.dept_id = m.get('deptId') if m.get('partnerNum') is not None: self.partner_num = m.get('partnerNum') if m.get('labelIds') is not None: self.label_ids = m.get('labelIds') return self class SetDeptPartnerTypeAndNumResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, ): self.headers = headers def validate(self): self.validate_required(self.headers, 'headers') def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') return self class GetActiveUserSummaryHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class GetActiveUserSummaryResponseBody(TeaModel): def __init__( self, act_usr_cnt_1m: str = None, ): # 月活跃人数 self.act_usr_cnt_1m = act_usr_cnt_1m def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.act_usr_cnt_1m is not None: result['actUsrCnt1m'] = self.act_usr_cnt_1m return result def from_map(self, m: dict = None): m = m or dict() if m.get('actUsrCnt1m') is not None: self.act_usr_cnt_1m = m.get('actUsrCnt1m') return self class GetActiveUserSummaryResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: GetActiveUserSummaryResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = GetActiveUserSummaryResponseBody() self.body = temp_model.from_map(m['body']) return self class GetOaOperatorLogListHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class GetOaOperatorLogListRequest(TeaModel): def __init__( self, op_user_id: str = None, start_time: int = None, end_time: int = None, page_number: int = None, page_size: int = None, category_list: List[str] = None, ): # 操作员userId self.op_user_id = op_user_id # 起始时间 self.start_time = start_time # 结束时间 self.end_time = end_time # 分页起始页 self.page_number = page_number # 分页大小 self.page_size = page_size # 操作分类（一级目录） self.category_list = category_list def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.op_user_id is not None: result['opUserId'] = self.op_user_id if self.start_time is not None: result['startTime'] = self.start_time if self.end_time is not None: result['endTime'] = self.end_time if self.page_number is not None: result['pageNumber'] = self.page_number if self.page_size is not None: result['pageSize'] = self.page_size if self.category_list is not None: result['categoryList'] = self.category_list return result def from_map(self, m: dict = None): m = m or dict() if m.get('opUserId') is not None: self.op_user_id = m.get('opUserId') if m.get('startTime') is not None: self.start_time = m.get('startTime') if m.get('endTime') is not None: self.end_time = m.get('endTime') if m.get('pageNumber') is not None: self.page_number = m.get('pageNumber') if m.get('pageSize') is not None: self.page_size = m.get('pageSize') if m.get('categoryList') is not None: self.category_list = m.get('categoryList') return self class GetOaOperatorLogListResponseBodyData(TeaModel): def __init__( self, op_user_id: str = None, op_name: str = None, op_time: int = None, category_1name: str = None, category_2name: str = None, content: str = None, ): # 操作员userId self.op_user_id = op_user_id # 操作员名字 self.op_name = op_name # 操作时间 self.op_time = op_time # 操作分类（一级） self.category_1name = category_1name # 操作分类（二级） self.category_2name = category_2name # 操作详情 self.content = content def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.op_user_id is not None: result['opUserId'] = self.op_user_id if self.op_name is not None: result['opName'] = self.op_name if self.op_time is not None: result['opTime'] = self.op_time if self.category_1name is not None: result['category1Name'] = self.category_1name if self.category_2name is not None: result['category2Name'] = self.category_2name if self.content is not None: result['content'] = self.content return result def from_map(self, m: dict = None): m = m or dict() if m.get('opUserId') is not None: self.op_user_id = m.get('opUserId') if m.get('opName') is not None: self.op_name = m.get('opName') if m.get('opTime') is not None: self.op_time = m.get('opTime') if m.get('category1Name') is not None: self.category_1name = m.get('category1Name') if m.get('category2Name') is not None: self.category_2name = m.get('category2Name') if m.get('content') is not None: self.content = m.get('content') return self class GetOaOperatorLogListResponseBody(TeaModel): def __init__( self, data: List[GetOaOperatorLogListResponseBodyData] = None, item_count: int = None, ): self.data = data # 当前获取记录数 self.item_count = item_count def validate(self): if self.data: for k in self.data: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() result['data'] = [] if self.data is not None: for k in self.data: result['data'].append(k.to_map() if k else None) if self.item_count is not None: result['itemCount'] = self.item_count return result def from_map(self, m: dict = None): m = m or dict() self.data = [] if m.get('data') is not None: for k in m.get('data'): temp_model = GetOaOperatorLogListResponseBodyData() self.data.append(temp_model.from_map(k)) if m.get('itemCount') is not None: self.item_count = m.get('itemCount') return self class GetOaOperatorLogListResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: GetOaOperatorLogListResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = GetOaOperatorLogListResponseBody() self.body = temp_model.from_map(m['body']) return self class RollbackMiniAppVersionHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class RollbackMiniAppVersionRequest(TeaModel): def __init__( self, ding_isv_org_id: int = None, ding_org_id: int = None, ding_suite_key: str = None, ding_corp_id: str = None, ding_client_id: str = None, ding_token_grant_type: int = None, rollback_version: str = None, target_version: str = None, mini_app_id: str = None, ): self.ding_isv_org_id = ding_isv_org_id self.ding_org_id = ding_org_id self.ding_suite_key = ding_suite_key self.ding_corp_id = ding_corp_id self.ding_client_id = ding_client_id self.ding_token_grant_type = ding_token_grant_type # 被回滚版本 self.rollback_version = rollback_version # 回滚到的版本 self.target_version = target_version # 小程序id self.mini_app_id = mini_app_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.ding_isv_org_id is not None: result['dingIsvOrgId'] = self.ding_isv_org_id if self.ding_org_id is not None: result['dingOrgId'] = self.ding_org_id if self.ding_suite_key is not None: result['dingSuiteKey'] = self.ding_suite_key if self.ding_corp_id is not None: result['dingCorpId'] = self.ding_corp_id if self.ding_client_id is not None: result['dingClientId'] = self.ding_client_id if self.ding_token_grant_type is not None: result['dingTokenGrantType'] = self.ding_token_grant_type if self.rollback_version is not None: result['rollbackVersion'] = self.rollback_version if self.target_version is not None: result['targetVersion'] = self.target_version if self.mini_app_id is not None: result['miniAppId'] = self.mini_app_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('dingIsvOrgId') is not None: self.ding_isv_org_id = m.get('dingIsvOrgId') if m.get('dingOrgId') is not None: self.ding_org_id = m.get('dingOrgId') if m.get('dingSuiteKey') is not None: self.ding_suite_key = m.get('dingSuiteKey') if m.get('dingCorpId') is not None: self.ding_corp_id = m.get('dingCorpId') if m.get('dingClientId') is not None: self.ding_client_id = m.get('dingClientId') if m.get('dingTokenGrantType') is not None: self.ding_token_grant_type = m.get('dingTokenGrantType') if m.get('rollbackVersion') is not None: self.rollback_version = m.get('rollbackVersion') if m.get('targetVersion') is not None: self.target_version = m.get('targetVersion') if m.get('miniAppId') is not None: self.mini_app_id = m.get('miniAppId') return self class RollbackMiniAppVersionResponseBody(TeaModel): def __init__( self, code: int = None, cause: str = None, ): # 结果码 self.code = code # 失败原因 self.cause = cause def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.code is not None: result['code'] = self.code if self.cause is not None: result['cause'] = self.cause 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('cause') is not None: self.cause = m.get('cause') return self class RollbackMiniAppVersionResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: RollbackMiniAppVersionResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = RollbackMiniAppVersionResponseBody() self.body = temp_model.from_map(m['body']) return self class PublishFileChangeNoticeHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class PublishFileChangeNoticeRequest(TeaModel): def __init__( self, file_id: str = None, space_id: str = None, operator_union_id: str = None, operate_type: str = None, ): # 钉盘文件id self.file_id = file_id # 钉盘spaceId self.space_id = space_id # 操作人unionId self.operator_union_id = operator_union_id # 操作类型: 1-添加 2-修改 self.operate_type = operate_type def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.file_id is not None: result['fileId'] = self.file_id if self.space_id is not None: result['spaceId'] = self.space_id if self.operator_union_id is not None: result['operatorUnionId'] = self.operator_union_id if self.operate_type is not None: result['operateType'] = self.operate_type return result def from_map(self, m: dict = None): m = m or dict() if m.get('fileId') is not None: self.file_id = m.get('fileId') if m.get('spaceId') is not None: self.space_id = m.get('spaceId') if m.get('operatorUnionId') is not None: self.operator_union_id = m.get('operatorUnionId') if m.get('operateType') is not None: self.operate_type = m.get('operateType') return self class PublishFileChangeNoticeResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, ): self.headers = headers def validate(self): self.validate_required(self.headers, 'headers') def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') return self class GetGeneralFormCreatedDeptSummaryHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class GetGeneralFormCreatedDeptSummaryRequest(TeaModel): def __init__( self, next_token: int = None, max_results: int = None, ): # 启始数据游标 self.next_token = next_token # 每页包含的数据条数 self.max_results = max_results def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.next_token is not None: result['nextToken'] = self.next_token if self.max_results is not None: result['maxResults'] = self.max_results return result def from_map(self, m: dict = None): m = m or dict() if m.get('nextToken') is not None: self.next_token = m.get('nextToken') if m.get('maxResults') is not None: self.max_results = m.get('maxResults') return self class GetGeneralFormCreatedDeptSummaryResponseBodyData(TeaModel): def __init__( self, dept_id: str = None, dept_name: str = None, general_form_create_cnt_1d: str = None, ): # 部门id self.dept_id = dept_id # 部门名称 self.dept_name = dept_name # 最近1天累计发布智能填表数 self.general_form_create_cnt_1d = general_form_create_cnt_1d def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.dept_id is not None: result['deptId'] = self.dept_id if self.dept_name is not None: result['deptName'] = self.dept_name if self.general_form_create_cnt_1d is not None: result['generalFormCreateCnt1d'] = self.general_form_create_cnt_1d return result def from_map(self, m: dict = None): m = m or dict() if m.get('deptId') is not None: self.dept_id = m.get('deptId') if m.get('deptName') is not None: self.dept_name = m.get('deptName') if m.get('generalFormCreateCnt1d') is not None: self.general_form_create_cnt_1d = m.get('generalFormCreateCnt1d') return self class GetGeneralFormCreatedDeptSummaryResponseBody(TeaModel): def __init__( self, data: List[GetGeneralFormCreatedDeptSummaryResponseBodyData] = None, next_token: int = None, has_more: bool = None, ): # 用户版本分布情况列表 self.data = data # 下一次请求的分页游标 self.next_token = next_token # 是否有更多数据 self.has_more = has_more def validate(self): if self.data: for k in self.data: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() result['data'] = [] if self.data is not None: for k in self.data: result['data'].append(k.to_map() if k else None) if self.next_token is not None: result['nextToken'] = self.next_token if self.has_more is not None: result['hasMore'] = self.has_more return result def from_map(self, m: dict = None): m = m or dict() self.data = [] if m.get('data') is not None: for k in m.get('data'): temp_model = GetGeneralFormCreatedDeptSummaryResponseBodyData() self.data.append(temp_model.from_map(k)) if m.get('nextToken') is not None: self.next_token = m.get('nextToken') if m.get('hasMore') is not None: self.has_more = m.get('hasMore') return self class GetGeneralFormCreatedDeptSummaryResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: GetGeneralFormCreatedDeptSummaryResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = GetGeneralFormCreatedDeptSummaryResponseBody() self.body = temp_model.from_map(m['body']) return self class GetCalenderSummaryHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class GetCalenderSummaryResponseBody(TeaModel): def __init__( self, calendar_create_user_cnt: str = None, ): # 最近1天累计创建日程人数 self.calendar_create_user_cnt = calendar_create_user_cnt def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.calendar_create_user_cnt is not None: result['calendarCreateUserCnt'] = self.calendar_create_user_cnt return result def from_map(self, m: dict = None): m = m or dict() if m.get('calendarCreateUserCnt') is not None: self.calendar_create_user_cnt = m.get('calendarCreateUserCnt') return self class GetCalenderSummaryResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: GetCalenderSummaryResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = GetCalenderSummaryResponseBody() self.body = temp_model.from_map(m['body']) return self class GetAllLabelableDeptsHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class GetAllLabelableDeptsResponseBodyDataPartnerLabelVOLevel1(TeaModel): def __init__( self, label_id: int = None, label_name: str = None, level_num: int = None, ): # 伙伴类型id self.label_id = label_id # 伙伴类型 self.label_name = label_name # 伙伴类型层级 self.level_num = level_num def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.label_id is not None: result['labelId'] = self.label_id if self.label_name is not None: result['labelName'] = self.label_name if self.level_num is not None: result['levelNum'] = self.level_num return result def from_map(self, m: dict = None): m = m or dict() if m.get('labelId') is not None: self.label_id = m.get('labelId') if m.get('labelName') is not None: self.label_name = m.get('labelName') if m.get('levelNum') is not None: self.level_num = m.get('levelNum') return self class GetAllLabelableDeptsResponseBodyDataPartnerLabelVOLevel2(TeaModel): def __init__( self, label_id: int = None, label_name: str = None, level_num: int = None, ): # 伙伴类型id self.label_id = label_id # 伙伴类型 self.label_name = label_name # 伙伴类型层级 self.level_num = level_num def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.label_id is not None: result['labelId'] = self.label_id if self.label_name is not None: result['labelName'] = self.label_name if self.level_num is not None: result['levelNum'] = self.level_num return result def from_map(self, m: dict = None): m = m or dict() if m.get('labelId') is not None: self.label_id = m.get('labelId') if m.get('labelName') is not None: self.label_name = m.get('labelName') if m.get('levelNum') is not None: self.level_num = m.get('levelNum') return self class GetAllLabelableDeptsResponseBodyDataPartnerLabelVOLevel3(TeaModel): def __init__( self, label_id: int = None, label_name: str = None, level_num: int = None, ): # 伙伴类型id self.label_id = label_id # 伙伴类型 self.label_name = label_name # 伙伴类型层级 self.level_num = level_num def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.label_id is not None: result['labelId'] = self.label_id if self.label_name is not None: result['labelName'] = self.label_name if self.level_num is not None: result['levelNum'] = self.level_num return result def from_map(self, m: dict = None): m = m or dict() if m.get('labelId') is not None: self.label_id = m.get('labelId') if m.get('labelName') is not None: self.label_name = m.get('labelName') if m.get('levelNum') is not None: self.level_num = m.get('levelNum') return self class GetAllLabelableDeptsResponseBodyDataPartnerLabelVOLevel4(TeaModel): def __init__( self, label_id: int = None, label_name: str = None, level_num: int = None, ): # 伙伴类型id self.label_id = label_id # 伙伴类型 self.label_name = label_name # 伙伴类型层级 self.level_num = level_num def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.label_id is not None: result['labelId'] = self.label_id if self.label_name is not None: result['labelName'] = self.label_name if self.level_num is not None: result['levelNum'] = self.level_num return result def from_map(self, m: dict = None): m = m or dict() if m.get('labelId') is not None: self.label_id = m.get('labelId') if m.get('labelName') is not None: self.label_name = m.get('labelName') if m.get('levelNum') is not None: self.level_num = m.get('levelNum') return self class GetAllLabelableDeptsResponseBodyDataPartnerLabelVOLevel5(TeaModel): def __init__( self, label_id: int = None, label_name: str = None, level_num: int = None, ): # 伙伴类型id self.label_id = label_id # 伙伴类型 self.label_name = label_name # 伙伴类型层级 self.level_num = level_num def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.label_id is not None: result['labelId'] = self.label_id if self.label_name is not None: result['labelName'] = self.label_name if self.level_num is not None: result['levelNum'] = self.level_num return result def from_map(self, m: dict = None): m = m or dict() if m.get('labelId') is not None: self.label_id = m.get('labelId') if m.get('labelName') is not None: self.label_name = m.get('labelName') if m.get('levelNum') is not None: self.level_num = m.get('levelNum') return self class GetAllLabelableDeptsResponseBodyData(TeaModel): def __init__( self, dept_id: str = None, super_dept_id: str = None, dept_name: str = None, member_count: int = None, partner_num: str = None, partner_label_volevel_1: GetAllLabelableDeptsResponseBodyDataPartnerLabelVOLevel1 = None, partner_label_volevel_2: GetAllLabelableDeptsResponseBodyDataPartnerLabelVOLevel2 = None, partner_label_volevel_3: GetAllLabelableDeptsResponseBodyDataPartnerLabelVOLevel3 = None, partner_label_volevel_4: GetAllLabelableDeptsResponseBodyDataPartnerLabelVOLevel4 = None, partner_label_volevel_5: GetAllLabelableDeptsResponseBodyDataPartnerLabelVOLevel5 = None, ): # 部门id self.dept_id = dept_id # 父部门id self.super_dept_id = super_dept_id # 部门名称 self.dept_name = dept_name # 部门人数 self.member_count = member_count # 部门伙伴编码 self.partner_num = partner_num # 部门一级伙伴类型 self.partner_label_volevel_1 = partner_label_volevel_1 # 部门二级伙伴类型 self.partner_label_volevel_2 = partner_label_volevel_2 # 部门三级伙伴类型 self.partner_label_volevel_3 = partner_label_volevel_3 # 部门四级伙伴类型 self.partner_label_volevel_4 = partner_label_volevel_4 # 部门五级伙伴类型 self.partner_label_volevel_5 = partner_label_volevel_5 def validate(self): if self.partner_label_volevel_1: self.partner_label_volevel_1.validate() if self.partner_label_volevel_2: self.partner_label_volevel_2.validate() if self.partner_label_volevel_3: self.partner_label_volevel_3.validate() if self.partner_label_volevel_4: self.partner_label_volevel_4.validate() if self.partner_label_volevel_5: self.partner_label_volevel_5.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.dept_id is not None: result['deptId'] = self.dept_id if self.super_dept_id is not None: result['superDeptId'] = self.super_dept_id if self.dept_name is not None: result['deptName'] = self.dept_name if self.member_count is not None: result['memberCount'] = self.member_count if self.partner_num is not None: result['partnerNum'] = self.partner_num if self.partner_label_volevel_1 is not None: result['partnerLabelVOLevel1'] = self.partner_label_volevel_1.to_map() if self.partner_label_volevel_2 is not None: result['partnerLabelVOLevel2'] = self.partner_label_volevel_2.to_map() if self.partner_label_volevel_3 is not None: result['partnerLabelVOLevel3'] = self.partner_label_volevel_3.to_map() if self.partner_label_volevel_4 is not None: result['partnerLabelVOLevel4'] = self.partner_label_volevel_4.to_map() if self.partner_label_volevel_5 is not None: result['partnerLabelVOLevel5'] = self.partner_label_volevel_5.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('deptId') is not None: self.dept_id = m.get('deptId') if m.get('superDeptId') is not None: self.super_dept_id = m.get('superDeptId') if m.get('deptName') is not None: self.dept_name = m.get('deptName') if m.get('memberCount') is not None: self.member_count = m.get('memberCount') if m.get('partnerNum') is not None: self.partner_num = m.get('partnerNum') if m.get('partnerLabelVOLevel1') is not None: temp_model = GetAllLabelableDeptsResponseBodyDataPartnerLabelVOLevel1() self.partner_label_volevel_1 = temp_model.from_map(m['partnerLabelVOLevel1']) if m.get('partnerLabelVOLevel2') is not None: temp_model = GetAllLabelableDeptsResponseBodyDataPartnerLabelVOLevel2() self.partner_label_volevel_2 = temp_model.from_map(m['partnerLabelVOLevel2']) if m.get('partnerLabelVOLevel3') is not None: temp_model = GetAllLabelableDeptsResponseBodyDataPartnerLabelVOLevel3() self.partner_label_volevel_3 = temp_model.from_map(m['partnerLabelVOLevel3']) if m.get('partnerLabelVOLevel4') is not None: temp_model = GetAllLabelableDeptsResponseBodyDataPartnerLabelVOLevel4() self.partner_label_volevel_4 = temp_model.from_map(m['partnerLabelVOLevel4']) if m.get('partnerLabelVOLevel5') is not None: temp_model = GetAllLabelableDeptsResponseBodyDataPartnerLabelVOLevel5() self.partner_label_volevel_5 = temp_model.from_map(m['partnerLabelVOLevel5']) return self class GetAllLabelableDeptsResponseBody(TeaModel): def __init__( self, data: List[GetAllLabelableDeptsResponseBodyData] = None, ): # 伙伴钉可打标部门列表 self.data = data def validate(self): if self.data: for k in self.data: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() result['data'] = [] if self.data is not None: for k in self.data: result['data'].append(k.to_map() if k else None) return result def from_map(self, m: dict = None): m = m or dict() self.data = [] if m.get('data') is not None: for k in m.get('data'): temp_model = GetAllLabelableDeptsResponseBodyData() self.data.append(temp_model.from_map(k)) return self class GetAllLabelableDeptsResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: GetAllLabelableDeptsResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = GetAllLabelableDeptsResponseBody() self.body = temp_model.from_map(m['body']) return self class GetPublisherSummaryHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class GetPublisherSummaryRequest(TeaModel): def __init__( self, next_token: int = None, max_results: int = None, ): # 启始数据游标 self.next_token = next_token # 每页包含的数据条数 self.max_results = max_results def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.next_token is not None: result['nextToken'] = self.next_token if self.max_results is not None: result['maxResults'] = self.max_results return result def from_map(self, m: dict = None): m = m or dict() if m.get('nextToken') is not None: self.next_token = m.get('nextToken') if m.get('maxResults') is not None: self.max_results = m.get('maxResults') return self class GetPublisherSummaryResponseBodyData(TeaModel): def __init__( self, union_id: str = None, publisher_name: str = None, publisher_article_cnt_std: str = None, publisher_article_pv_cnt_std: str = None, ): # 服务窗unionId self.union_id = union_id # 服务窗名称 self.publisher_name = publisher_name # 历史截至当日服务窗文章数 self.publisher_article_cnt_std = publisher_article_cnt_std # 历史截至当日服务窗文章阅读数 self.publisher_article_pv_cnt_std = publisher_article_pv_cnt_std def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.union_id is not None: result['unionId'] = self.union_id if self.publisher_name is not None: result['publisherName'] = self.publisher_name if self.publisher_article_cnt_std is not None: result['publisherArticleCntStd'] = self.publisher_article_cnt_std if self.publisher_article_pv_cnt_std is not None: result['publisherArticlePvCntStd'] = self.publisher_article_pv_cnt_std return result def from_map(self, m: dict = None): m = m or dict() if m.get('unionId') is not None: self.union_id = m.get('unionId') if m.get('publisherName') is not None: self.publisher_name = m.get('publisherName') if m.get('publisherArticleCntStd') is not None: self.publisher_article_cnt_std = m.get('publisherArticleCntStd') if m.get('publisherArticlePvCntStd') is not None: self.publisher_article_pv_cnt_std = m.get('publisherArticlePvCntStd') return self class GetPublisherSummaryResponseBodyPublisherArticlePvTop5(TeaModel): def __init__( self, name: str = None, ): # 文章名称 self.name = name def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.name is not None: result['name'] = self.name return result def from_map(self, m: dict = None): m = m or dict() if m.get('name') is not None: self.name = m.get('name') return self class GetPublisherSummaryResponseBody(TeaModel): def __init__( self, data: List[GetPublisherSummaryResponseBodyData] = None, publisher_cnt_std: str = None, publisher_article_cnt_std: str = None, publisher_article_pv_cnt_std: str = None, publisher_article_pv_top_5: List[GetPublisherSummaryResponseBodyPublisherArticlePvTop5] = None, next_token: int = None, has_more: bool = None, ): # 互动服务窗相关数据 self.data = data # 历史截至当日服务窗数 self.publisher_cnt_std = publisher_cnt_std # 历史截至当日服务窗文章数 self.publisher_article_cnt_std = publisher_article_cnt_std # 历史截至当日服务窗文章阅读数 self.publisher_article_pv_cnt_std = publisher_article_pv_cnt_std # 阅读量最高的5个文章 self.publisher_article_pv_top_5 = publisher_article_pv_top_5 # 下一次请求的分页游标 self.next_token = next_token # 是否有更多数据 self.has_more = has_more def validate(self): if self.data: for k in self.data: if k: k.validate() if self.publisher_article_pv_top_5: for k in self.publisher_article_pv_top_5: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() result['data'] = [] if self.data is not None: for k in self.data: result['data'].append(k.to_map() if k else None) if self.publisher_cnt_std is not None: result['publisherCntStd'] = self.publisher_cnt_std if self.publisher_article_cnt_std is not None: result['publisherArticleCntStd'] = self.publisher_article_cnt_std if self.publisher_article_pv_cnt_std is not None: result['publisherArticlePvCntStd'] = self.publisher_article_pv_cnt_std result['publisherArticlePvTop5'] = [] if self.publisher_article_pv_top_5 is not None: for k in self.publisher_article_pv_top_5: result['publisherArticlePvTop5'].append(k.to_map() if k else None) if self.next_token is not None: result['nextToken'] = self.next_token if self.has_more is not None: result['hasMore'] = self.has_more return result def from_map(self, m: dict = None): m = m or dict() self.data = [] if m.get('data') is not None: for k in m.get('data'): temp_model = GetPublisherSummaryResponseBodyData() self.data.append(temp_model.from_map(k)) if m.get('publisherCntStd') is not None: self.publisher_cnt_std = m.get('publisherCntStd') if m.get('publisherArticleCntStd') is not None: self.publisher_article_cnt_std = m.get('publisherArticleCntStd') if m.get('publisherArticlePvCntStd') is not None: self.publisher_article_pv_cnt_std = m.get('publisherArticlePvCntStd') self.publisher_article_pv_top_5 = [] if m.get('publisherArticlePvTop5') is not None: for k in m.get('publisherArticlePvTop5'): temp_model = GetPublisherSummaryResponseBodyPublisherArticlePvTop5() self.publisher_article_pv_top_5.append(temp_model.from_map(k)) if m.get('nextToken') is not None: self.next_token = m.get('nextToken') if m.get('hasMore') is not None: self.has_more = m.get('hasMore') return self class GetPublisherSummaryResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: GetPublisherSummaryResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = GetPublisherSummaryResponseBody() self.body = temp_model.from_map(m['body']) return self class UpdateMiniAppVersionStatusHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class UpdateMiniAppVersionStatusRequest(TeaModel): def __init__( self, version_type: int = None, version: str = None, mini_app_id: str = None, ding_client_id: str = None, ding_token_grant_type: int = None, ding_org_id: int = None, ding_isv_org_id: int = None, ding_suite_key: str = None, ding_corp_id: str = None, ): # 版本类型 self.version_type = version_type # 版本 self.version = version # 小程序id self.mini_app_id = mini_app_id self.ding_client_id = ding_client_id self.ding_token_grant_type = ding_token_grant_type self.ding_org_id = ding_org_id self.ding_isv_org_id = ding_isv_org_id self.ding_suite_key = ding_suite_key self.ding_corp_id = ding_corp_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.version_type is not None: result['versionType'] = self.version_type if self.version is not None: result['version'] = self.version if self.mini_app_id is not None: result['miniAppId'] = self.mini_app_id if self.ding_client_id is not None: result['dingClientId'] = self.ding_client_id if self.ding_token_grant_type is not None: result['dingTokenGrantType'] = self.ding_token_grant_type if self.ding_org_id is not None: result['dingOrgId'] = self.ding_org_id if self.ding_isv_org_id is not None: result['dingIsvOrgId'] = self.ding_isv_org_id if self.ding_suite_key is not None: result['dingSuiteKey'] = self.ding_suite_key if self.ding_corp_id is not None: result['dingCorpId'] = self.ding_corp_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('versionType') is not None: self.version_type = m.get('versionType') if m.get('version') is not None: self.version = m.get('version') if m.get('miniAppId') is not None: self.mini_app_id = m.get('miniAppId') if m.get('dingClientId') is not None: self.ding_client_id = m.get('dingClientId') if m.get('dingTokenGrantType') is not None: self.ding_token_grant_type = m.get('dingTokenGrantType') if m.get('dingOrgId') is not None: self.ding_org_id = m.get('dingOrgId') if m.get('dingIsvOrgId') is not None: self.ding_isv_org_id = m.get('dingIsvOrgId') if m.get('dingSuiteKey') is not None: self.ding_suite_key = m.get('dingSuiteKey') if m.get('dingCorpId') is not None: self.ding_corp_id = m.get('dingCorpId') return self class UpdateMiniAppVersionStatusResponseBody(TeaModel): def __init__( self, code: str = None, cause: str = None, ): # 返回码 self.code = code # 原因 self.cause = cause def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.code is not None: result['code'] = self.code if self.cause is not None: result['cause'] = self.cause 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('cause') is not None: self.cause = m.get('cause') return self class UpdateMiniAppVersionStatusResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: UpdateMiniAppVersionStatusResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = UpdateMiniAppVersionStatusResponseBody() self.body = temp_model.from_map(m['body']) return self class UpdateRoleVisibilityHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class UpdateRoleVisibilityRequest(TeaModel): def __init__( self, label_id: int = None, dept_ids: List[int] = None, user_ids: List[str] = None, ding_client_id: str = None, ding_token_grant_type: int = None, ding_org_id: int = None, ding_isv_org_id: int = None, ding_suite_key: str = None, ding_corp_id: str = None, ): # 标签id self.label_id = label_id # 可见的部门id self.dept_ids = dept_ids # 可见的员工id self.user_ids = user_ids self.ding_client_id = ding_client_id self.ding_token_grant_type = ding_token_grant_type self.ding_org_id = ding_org_id self.ding_isv_org_id = ding_isv_org_id self.ding_suite_key = ding_suite_key self.ding_corp_id = ding_corp_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.label_id is not None: result['labelId'] = self.label_id if self.dept_ids is not None: result['deptIds'] = self.dept_ids if self.user_ids is not None: result['userIds'] = self.user_ids if self.ding_client_id is not None: result['dingClientId'] = self.ding_client_id if self.ding_token_grant_type is not None: result['dingTokenGrantType'] = self.ding_token_grant_type if self.ding_org_id is not None: result['dingOrgId'] = self.ding_org_id if self.ding_isv_org_id is not None: result['dingIsvOrgId'] = self.ding_isv_org_id if self.ding_suite_key is not None: result['dingSuiteKey'] = self.ding_suite_key if self.ding_corp_id is not None: result['dingCorpId'] = self.ding_corp_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('labelId') is not None: self.label_id = m.get('labelId') if m.get('deptIds') is not None: self.dept_ids = m.get('deptIds') if m.get('userIds') is not None: self.user_ids = m.get('userIds') if m.get('dingClientId') is not None: self.ding_client_id = m.get('dingClientId') if m.get('dingTokenGrantType') is not None: self.ding_token_grant_type = m.get('dingTokenGrantType') if m.get('dingOrgId') is not None: self.ding_org_id = m.get('dingOrgId') if m.get('dingIsvOrgId') is not None: self.ding_isv_org_id = m.get('dingIsvOrgId') if m.get('dingSuiteKey') is not None: self.ding_suite_key = m.get('dingSuiteKey') if m.get('dingCorpId') is not None: self.ding_corp_id = m.get('dingCorpId') return self class UpdateRoleVisibilityResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: bool = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: self.body = m.get('body') return self class GetGeneralFormCreatedSummaryHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class GetGeneralFormCreatedSummaryResponseBody(TeaModel): def __init__( self, general_form_created_cnt: str = None, ): # 最近1天累计智能填表创建数 self.general_form_created_cnt = general_form_created_cnt def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.general_form_created_cnt is not None: result['generalFormCreatedCnt'] = self.general_form_created_cnt return result def from_map(self, m: dict = None): m = m or dict() if m.get('generalFormCreatedCnt') is not None: self.general_form_created_cnt = m.get('generalFormCreatedCnt') return self class GetGeneralFormCreatedSummaryResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: GetGeneralFormCreatedSummaryResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = GetGeneralFormCreatedSummaryResponseBody() self.body = temp_model.from_map(m['body']) return self class GetDocCreatedSummaryHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class GetDocCreatedSummaryResponseBody(TeaModel): def __init__( self, doc_created_cnt: str = None, ): # 最近1天累计创建文档数 self.doc_created_cnt = doc_created_cnt def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.doc_created_cnt is not None: result['docCreatedCnt'] = self.doc_created_cnt return result def from_map(self, m: dict = None): m = m or dict() if m.get('docCreatedCnt') is not None: self.doc_created_cnt = m.get('docCreatedCnt') return self class GetDocCreatedSummaryResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: GetDocCreatedSummaryResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = GetDocCreatedSummaryResponseBody() self.body = temp_model.from_map(m['body']) return self class SendAppDingHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class SendAppDingRequest(TeaModel): def __init__( self, userids: List[str] = None, content: str = None, ): # 接收DING消息的用户列表 self.userids = userids # 消息内容 self.content = content def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.userids is not None: result['userids'] = self.userids if self.content is not None: result['content'] = self.content return result def from_map(self, m: dict = None): m = m or dict() if m.get('userids') is not None: self.userids = m.get('userids') if m.get('content') is not None: self.content = m.get('content') return self class SendAppDingResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, ): self.headers = headers def validate(self): self.validate_required(self.headers, 'headers') def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') return self class UpdatePartnerVisibilityHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class UpdatePartnerVisibilityRequest(TeaModel): def __init__( self, label_id: int = None, dept_ids: List[int] = None, user_ids: List[str] = None, ding_client_id: str = None, ding_token_grant_type: int = None, ding_org_id: int = None, ding_isv_org_id: int = None, ding_suite_key: str = None, ding_corp_id: str = None, ): # 标签id self.label_id = label_id # 可见的部门id self.dept_ids = dept_ids # 可见的员工id self.user_ids = user_ids self.ding_client_id = ding_client_id self.ding_token_grant_type = ding_token_grant_type self.ding_org_id = ding_org_id self.ding_isv_org_id = ding_isv_org_id self.ding_suite_key = ding_suite_key self.ding_corp_id = ding_corp_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.label_id is not None: result['labelId'] = self.label_id if self.dept_ids is not None: result['deptIds'] = self.dept_ids if self.user_ids is not None: result['userIds'] = self.user_ids if self.ding_client_id is not None: result['dingClientId'] = self.ding_client_id if self.ding_token_grant_type is not None: result['dingTokenGrantType'] = self.ding_token_grant_type if self.ding_org_id is not None: result['dingOrgId'] = self.ding_org_id if self.ding_isv_org_id is not None: result['dingIsvOrgId'] = self.ding_isv_org_id if self.ding_suite_key is not None: result['dingSuiteKey'] = self.ding_suite_key if self.ding_corp_id is not None: result['dingCorpId'] = self.ding_corp_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('labelId') is not None: self.label_id = m.get('labelId') if m.get('deptIds') is not None: self.dept_ids = m.get('deptIds') if m.get('userIds') is not None: self.user_ids = m.get('userIds') if m.get('dingClientId') is not None: self.ding_client_id = m.get('dingClientId') if m.get('dingTokenGrantType') is not None: self.ding_token_grant_type = m.get('dingTokenGrantType') if m.get('dingOrgId') is not None: self.ding_org_id = m.get('dingOrgId') if m.get('dingIsvOrgId') is not None: self.ding_isv_org_id = m.get('dingIsvOrgId') if m.get('dingSuiteKey') is not None: self.ding_suite_key = m.get('dingSuiteKey') if m.get('dingCorpId') is not None: self.ding_corp_id = m.get('dingCorpId') return self class UpdatePartnerVisibilityResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: bool = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: self.body = m.get('body') return self class GetDingReportDeptSummaryHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class GetDingReportDeptSummaryRequest(TeaModel): def __init__( self, next_token: int = None, max_results: int = None, ): # 启始数据游标 self.next_token = next_token # 每页包含的数据条数 self.max_results = max_results def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.next_token is not None: result['nextToken'] = self.next_token if self.max_results is not None: result['maxResults'] = self.max_results return result def from_map(self, m: dict = None): m = m or dict() if m.get('nextToken') is not None: self.next_token = m.get('nextToken') if m.get('maxResults') is not None: self.max_results = m.get('maxResults') return self class GetDingReportDeptSummaryResponseBodyData(TeaModel): def __init__( self, dept_id: str = None, dept_name: str = None, ding_report_send_usr_cnt: str = None, ding_report_send_cnt: str = None, ): # 部门id self.dept_id = dept_id # 部门名称 self.dept_name = dept_name # 最近1天累计创建日志人数 self.ding_report_send_usr_cnt = ding_report_send_usr_cnt # 最近1天累计创建日志数 self.ding_report_send_cnt = ding_report_send_cnt def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.dept_id is not None: result['deptId'] = self.dept_id if self.dept_name is not None: result['deptName'] = self.dept_name if self.ding_report_send_usr_cnt is not None: result['dingReportSendUsrCnt'] = self.ding_report_send_usr_cnt if self.ding_report_send_cnt is not None: result['dingReportSendCnt'] = self.ding_report_send_cnt return result def from_map(self, m: dict = None): m = m or dict() if m.get('deptId') is not None: self.dept_id = m.get('deptId') if m.get('deptName') is not None: self.dept_name = m.get('deptName') if m.get('dingReportSendUsrCnt') is not None: self.ding_report_send_usr_cnt = m.get('dingReportSendUsrCnt') if m.get('dingReportSendCnt') is not None: self.ding_report_send_cnt = m.get('dingReportSendCnt') return self class GetDingReportDeptSummaryResponseBody(TeaModel): def __init__( self, data: List[GetDingReportDeptSummaryResponseBodyData] = None, next_token: int = None, has_more: bool = None, ): # 部门维度发布日志信息 self.data = data # 下一次请求的分页游标 self.next_token = next_token # 是否有更多数据 self.has_more = has_more def validate(self): if self.data: for k in self.data: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() result['data'] = [] if self.data is not None: for k in self.data: result['data'].append(k.to_map() if k else None) if self.next_token is not None: result['nextToken'] = self.next_token if self.has_more is not None: result['hasMore'] = self.has_more return result def from_map(self, m: dict = None): m = m or dict() self.data = [] if m.get('data') is not None: for k in m.get('data'): temp_model = GetDingReportDeptSummaryResponseBodyData() self.data.append(temp_model.from_map(k)) if m.get('nextToken') is not None: self.next_token = m.get('nextToken') if m.get('hasMore') is not None: self.has_more = m.get('hasMore') return self class GetDingReportDeptSummaryResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: GetDingReportDeptSummaryResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = GetDingReportDeptSummaryResponseBody() self.body = temp_model.from_map(m['body']) return self class GetInActiveUserListHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class GetInActiveUserListRequest(TeaModel): def __init__( self, stat_date: str = None, service_id: int = None, ding_oauth_app_id: int = None, ding_org_id: int = None, page_number: int = None, page_size: int = None, dept_ids: List[str] = None, ): self.stat_date = stat_date self.service_id = service_id self.ding_oauth_app_id = ding_oauth_app_id self.ding_org_id = ding_org_id self.page_number = page_number self.page_size = page_size self.dept_ids = dept_ids def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.stat_date is not None: result['statDate'] = self.stat_date if self.service_id is not None: result['serviceId'] = self.service_id if self.ding_oauth_app_id is not None: result['dingOauthAppId'] = self.ding_oauth_app_id if self.ding_org_id is not None: result['dingOrgId'] = self.ding_org_id if self.page_number is not None: result['pageNumber'] = self.page_number if self.page_size is not None: result['pageSize'] = self.page_size if self.dept_ids is not None: result['deptIds'] = self.dept_ids return result def from_map(self, m: dict = None): m = m or dict() if m.get('statDate') is not None: self.stat_date = m.get('statDate') if m.get('serviceId') is not None: self.service_id = m.get('serviceId') if m.get('dingOauthAppId') is not None: self.ding_oauth_app_id = m.get('dingOauthAppId') if m.get('dingOrgId') is not None: self.ding_org_id = m.get('dingOrgId') if m.get('pageNumber') is not None: self.page_number = m.get('pageNumber') if m.get('pageSize') is not None: self.page_size = m.get('pageSize') if m.get('deptIds') is not None: self.dept_ids = m.get('deptIds') return self class GetInActiveUserListResponseBodyMetaList(TeaModel): def __init__( self, kpi_id: str = None, kpi_name: str = None, unit: str = None, kpi_caliber: str = None, period: str = None, ): # 指标ID self.kpi_id = kpi_id # 指标名称 self.kpi_name = kpi_name # 指标单位 self.unit = unit # 指标口径 self.kpi_caliber = kpi_caliber # 指标周期 self.period = period def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.kpi_id is not None: result['kpiId'] = self.kpi_id if self.kpi_name is not None: result['kpiName'] = self.kpi_name if self.unit is not None: result['unit'] = self.unit if self.kpi_caliber is not None: result['kpiCaliber'] = self.kpi_caliber if self.period is not None: result['period'] = self.period return result def from_map(self, m: dict = None): m = m or dict() if m.get('kpiId') is not None: self.kpi_id = m.get('kpiId') if m.get('kpiName') is not None: self.kpi_name = m.get('kpiName') if m.get('unit') is not None: self.unit = m.get('unit') if m.get('kpiCaliber') is not None: self.kpi_caliber = m.get('kpiCaliber') if m.get('period') is not None: self.period = m.get('period') return self class GetInActiveUserListResponseBody(TeaModel): def __init__( self, data_list: List[Dict[str, Any]] = None, meta_list: List[GetInActiveUserListResponseBodyMetaList] = None, ): # 指标数据 self.data_list = data_list # 指标元数据 self.meta_list = meta_list def validate(self): if self.meta_list: for k in self.meta_list: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.data_list is not None: result['dataList'] = self.data_list result['metaList'] = [] if self.meta_list is not None: for k in self.meta_list: result['metaList'].append(k.to_map() if k else None) return result def from_map(self, m: dict = None): m = m or dict() if m.get('dataList') is not None: self.data_list = m.get('dataList') self.meta_list = [] if m.get('metaList') is not None: for k in m.get('metaList'): temp_model = GetInActiveUserListResponseBodyMetaList() self.meta_list.append(temp_model.from_map(k)) return self class GetInActiveUserListResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: GetInActiveUserListResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = GetInActiveUserListResponseBody() self.body = temp_model.from_map(m['body']) return self class GetTrustDeviceListHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class GetTrustDeviceListRequest(TeaModel): def __init__( self, user_ids: List[str] = None, ): self.user_ids = user_ids def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.user_ids is not None: result['userIds'] = self.user_ids return result def from_map(self, m: dict = None): m = m or dict() if m.get('userIds') is not None: self.user_ids = m.get('userIds') return self class GetTrustDeviceListResponseBodyData(TeaModel): def __init__( self, user_id: str = None, platform: str = None, mac_address: str = None, status: int = None, create_time: int = None, ): # 员工Id self.user_id = user_id # 平台类型 self.platform = platform # mac地址 self.mac_address = mac_address # 设备状态 self.status = status # 创建时间 self.create_time = create_time def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.user_id is not None: result['userId'] = self.user_id if self.platform is not None: result['platform'] = self.platform if self.mac_address is not None: result['macAddress'] = self.mac_address if self.status is not None: result['status'] = self.status if self.create_time is not None: result['createTime'] = self.create_time return result def from_map(self, m: dict = None): m = m or dict() if m.get('userId') is not None: self.user_id = m.get('userId') if m.get('platform') is not None: self.platform = m.get('platform') if m.get('macAddress') is not None: self.mac_address = m.get('macAddress') if m.get('status') is not None: self.status = m.get('status') if m.get('createTime') is not None: self.create_time = m.get('createTime') return self class GetTrustDeviceListResponseBody(TeaModel): def __init__( self, data: List[GetTrustDeviceListResponseBodyData] = None, ): self.data = data def validate(self): if self.data: for k in self.data: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() result['data'] = [] if self.data is not None: for k in self.data: result['data'].append(k.to_map() if k else None) return result def from_map(self, m: dict = None): m = m or dict() self.data = [] if m.get('data') is not None: for k in m.get('data'): temp_model = GetTrustDeviceListResponseBodyData() self.data.append(temp_model.from_map(k)) return self class GetTrustDeviceListResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: GetTrustDeviceListResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = GetTrustDeviceListResponseBody() self.body = temp_model.from_map(m['body']) return self class ListMiniAppAvailableVersionHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class ListMiniAppAvailableVersionRequest(TeaModel): def __init__( self, version_type_set: List[int] = None, page_size: int = None, page_number: int = None, ding_isv_org_id: int = None, ding_org_id: int = None, ding_suite_key: str = None, ding_corp_id: str = None, ding_client_id: str = None, ding_token_grant_type: int = None, mini_app_id: str = None, ): # 版本类型列表，0-开发版，1-灰度版，2-发布版，3-体验版 self.version_type_set = version_type_set # 分页大小 self.page_size = page_size # 分页数1 self.page_number = page_number self.ding_isv_org_id = ding_isv_org_id self.ding_org_id = ding_org_id self.ding_suite_key = ding_suite_key self.ding_corp_id = ding_corp_id self.ding_client_id = ding_client_id self.ding_token_grant_type = ding_token_grant_type # 小程序id self.mini_app_id = mini_app_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.version_type_set is not None: result['versionTypeSet'] = self.version_type_set if self.page_size is not None: result['pageSize'] = self.page_size if self.page_number is not None: result['pageNumber'] = self.page_number if self.ding_isv_org_id is not None: result['dingIsvOrgId'] = self.ding_isv_org_id if self.ding_org_id is not None: result['dingOrgId'] = self.ding_org_id if self.ding_suite_key is not None: result['dingSuiteKey'] = self.ding_suite_key if self.ding_corp_id is not None: result['dingCorpId'] = self.ding_corp_id if self.ding_client_id is not None: result['dingClientId'] = self.ding_client_id if self.ding_token_grant_type is not None: result['dingTokenGrantType'] = self.ding_token_grant_type if self.mini_app_id is not None: result['miniAppId'] = self.mini_app_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('versionTypeSet') is not None: self.version_type_set = m.get('versionTypeSet') if m.get('pageSize') is not None: self.page_size = m.get('pageSize') if m.get('pageNumber') is not None: self.page_number = m.get('pageNumber') if m.get('dingIsvOrgId') is not None: self.ding_isv_org_id = m.get('dingIsvOrgId') if m.get('dingOrgId') is not None: self.ding_org_id = m.get('dingOrgId') if m.get('dingSuiteKey') is not None: self.ding_suite_key = m.get('dingSuiteKey') if m.get('dingCorpId') is not None: self.ding_corp_id = m.get('dingCorpId') if m.get('dingClientId') is not None: self.ding_client_id = m.get('dingClientId') if m.get('dingTokenGrantType') is not None: self.ding_token_grant_type = m.get('dingTokenGrantType') if m.get('miniAppId') is not None: self.mini_app_id = m.get('miniAppId') return self class ListMiniAppAvailableVersionResponseBodyList(TeaModel): def __init__( self, build_status: int = None, version: str = None, ): # 打包状态，0-打包中，1-成功，2-失败 self.build_status = build_status # 版本 self.version = version def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.build_status is not None: result['buildStatus'] = self.build_status if self.version is not None: result['version'] = self.version return result def from_map(self, m: dict = None): m = m or dict() if m.get('buildStatus') is not None: self.build_status = m.get('buildStatus') if m.get('version') is not None: self.version = m.get('version') return self class ListMiniAppAvailableVersionResponseBody(TeaModel): def __init__( self, list: List[ListMiniAppAvailableVersionResponseBodyList] = None, ): # result self.list = list def validate(self): if self.list: for k in self.list: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() result['list'] = [] if self.list is not None: for k in self.list: result['list'].append(k.to_map() if k else None) return result def from_map(self, m: dict = None): m = m or dict() self.list = [] if m.get('list') is not None: for k in m.get('list'): temp_model = ListMiniAppAvailableVersionResponseBodyList() self.list.append(temp_model.from_map(k)) return self class ListMiniAppAvailableVersionResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: ListMiniAppAvailableVersionResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = ListMiniAppAvailableVersionResponseBody() self.body = temp_model.from_map(m['body']) return self class SearchOrgInnerGroupInfoHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class SearchOrgInnerGroupInfoRequest(TeaModel): def __init__( self, group_members_count_end: int = None, sync_to_dingpan: int = None, group_owner: str = None, create_time_end: int = None, page_size: int = None, create_time_start: int = None, uuid: str = None, group_members_count_start: int = None, last_active_time_end: int = None, operator_user_id: str = None, group_name: str = None, page_start: int = None, last_active_time_start: int = None, ): # groupMembersCntEnd self.group_members_count_end = group_members_count_end # syncToDingpan self.sync_to_dingpan = sync_to_dingpan # groupOwner self.group_owner = group_owner # createTimeEnd self.create_time_end = create_time_end # pageSize self.page_size = page_size # createTimeStart self.create_time_start = create_time_start # uuid self.uuid = uuid # groupMembersCntStart self.group_members_count_start = group_members_count_start # lastActiveTimeEnd self.last_active_time_end = last_active_time_end # operatorUserId self.operator_user_id = operator_user_id # groupName self.group_name = group_name # pageStart self.page_start = page_start # lastActiveTimeStart self.last_active_time_start = last_active_time_start def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.group_members_count_end is not None: result['groupMembersCountEnd'] = self.group_members_count_end if self.sync_to_dingpan is not None: result['syncToDingpan'] = self.sync_to_dingpan if self.group_owner is not None: result['groupOwner'] = self.group_owner if self.create_time_end is not None: result['createTimeEnd'] = self.create_time_end if self.page_size is not None: result['pageSize'] = self.page_size if self.create_time_start is not None: result['createTimeStart'] = self.create_time_start if self.uuid is not None: result['uuid'] = self.uuid if self.group_members_count_start is not None: result['groupMembersCountStart'] = self.group_members_count_start if self.last_active_time_end is not None: result['lastActiveTimeEnd'] = self.last_active_time_end if self.operator_user_id is not None: result['operatorUserId'] = self.operator_user_id if self.group_name is not None: result['groupName'] = self.group_name if self.page_start is not None: result['pageStart'] = self.page_start if self.last_active_time_start is not None: result['lastActiveTimeStart'] = self.last_active_time_start return result def from_map(self, m: dict = None): m = m or dict() if m.get('groupMembersCountEnd') is not None: self.group_members_count_end = m.get('groupMembersCountEnd') if m.get('syncToDingpan') is not None: self.sync_to_dingpan = m.get('syncToDingpan') if m.get('groupOwner') is not None: self.group_owner = m.get('groupOwner') if m.get('createTimeEnd') is not None: self.create_time_end = m.get('createTimeEnd') if m.get('pageSize') is not None: self.page_size = m.get('pageSize') if m.get('createTimeStart') is not None: self.create_time_start = m.get('createTimeStart') if m.get('uuid') is not None: self.uuid = m.get('uuid') if m.get('groupMembersCountStart') is not None: self.group_members_count_start = m.get('groupMembersCountStart') if m.get('lastActiveTimeEnd') is not None: self.last_active_time_end = m.get('lastActiveTimeEnd') if m.get('operatorUserId') is not None: self.operator_user_id = m.get('operatorUserId') if m.get('groupName') is not None: self.group_name = m.get('groupName') if m.get('pageStart') is not None: self.page_start = m.get('pageStart') if m.get('lastActiveTimeStart') is not None: self.last_active_time_start = m.get('lastActiveTimeStart') return self class SearchOrgInnerGroupInfoResponseBodyItems(TeaModel): def __init__( self, open_conversation_id: str = None, group_owner: str = None, group_name: str = None, group_admins_count: int = None, group_members_count: int = None, group_create_time: int = None, group_last_active_time: int = None, group_last_active_time_show: str = None, sync_to_dingpan: int = None, used_quota: int = None, group_owner_user_id: str = None, status: int = None, template_id: str = None, template_name: str = None, ): self.open_conversation_id = open_conversation_id self.group_owner = group_owner self.group_name = group_name self.group_admins_count = group_admins_count self.group_members_count = group_members_count self.group_create_time = group_create_time self.group_last_active_time = group_last_active_time self.group_last_active_time_show = group_last_active_time_show self.sync_to_dingpan = sync_to_dingpan self.used_quota = used_quota self.group_owner_user_id = group_owner_user_id self.status = status self.template_id = template_id self.template_name = template_name def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.open_conversation_id is not None: result['openConversationId'] = self.open_conversation_id if self.group_owner is not None: result['groupOwner'] = self.group_owner if self.group_name is not None: result['groupName'] = self.group_name if self.group_admins_count is not None: result['groupAdminsCount'] = self.group_admins_count if self.group_members_count is not None: result['groupMembersCount'] = self.group_members_count if self.group_create_time is not None: result['groupCreateTime'] = self.group_create_time if self.group_last_active_time is not None: result['groupLastActiveTime'] = self.group_last_active_time if self.group_last_active_time_show is not None: result['groupLastActiveTimeShow'] = self.group_last_active_time_show if self.sync_to_dingpan is not None: result['syncToDingpan'] = self.sync_to_dingpan if self.used_quota is not None: result['usedQuota'] = self.used_quota if self.group_owner_user_id is not None: result['groupOwnerUserId'] = self.group_owner_user_id if self.status is not None: result['status'] = self.status if self.template_id is not None: result['templateId'] = self.template_id if self.template_name is not None: result['templateName'] = self.template_name return result def from_map(self, m: dict = None): m = m or dict() if m.get('openConversationId') is not None: self.open_conversation_id = m.get('openConversationId') if m.get('groupOwner') is not None: self.group_owner = m.get('groupOwner') if m.get('groupName') is not None: self.group_name = m.get('groupName') if m.get('groupAdminsCount') is not None: self.group_admins_count = m.get('groupAdminsCount') if m.get('groupMembersCount') is not None: self.group_members_count = m.get('groupMembersCount') if m.get('groupCreateTime') is not None: self.group_create_time = m.get('groupCreateTime') if m.get('groupLastActiveTime') is not None: self.group_last_active_time = m.get('groupLastActiveTime') if m.get('groupLastActiveTimeShow') is not None: self.group_last_active_time_show = m.get('groupLastActiveTimeShow') if m.get('syncToDingpan') is not None: self.sync_to_dingpan = m.get('syncToDingpan') if m.get('usedQuota') is not None: self.used_quota = m.get('usedQuota') if m.get('groupOwnerUserId') is not None: self.group_owner_user_id = m.get('groupOwnerUserId') if m.get('status') is not None: self.status = m.get('status') if m.get('templateId') is not None: self.template_id = m.get('templateId') if m.get('templateName') is not None: self.template_name = m.get('templateName') return self class SearchOrgInnerGroupInfoResponseBody(TeaModel): def __init__( self, total_count: int = None, item_count: int = None, items: List[SearchOrgInnerGroupInfoResponseBodyItems] = None, ): self.total_count = total_count self.item_count = item_count self.items = items def validate(self): if self.items: for k in self.items: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.total_count is not None: result['totalCount'] = self.total_count if self.item_count is not None: result['itemCount'] = self.item_count result['items'] = [] if self.items is not None: for k in self.items: result['items'].append(k.to_map() if k else None) return result def from_map(self, m: dict = None): m = m or dict() if m.get('totalCount') is not None: self.total_count = m.get('totalCount') if m.get('itemCount') is not None: self.item_count = m.get('itemCount') self.items = [] if m.get('items') is not None: for k in m.get('items'): temp_model = SearchOrgInnerGroupInfoResponseBodyItems() self.items.append(temp_model.from_map(k)) return self class SearchOrgInnerGroupInfoResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: SearchOrgInnerGroupInfoResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = SearchOrgInnerGroupInfoResponseBody() self.body = temp_model.from_map(m['body']) return self class SendInvitationHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class SendInvitationRequest(TeaModel): def __init__( self, dept_id: str = None, partner_num: str = None, partner_label_id: int = None, phone: str = None, org_alias: str = None, ): # 部门id self.dept_id = dept_id # 伙伴编码 self.partner_num = partner_num # 伙伴标签id self.partner_label_id = partner_label_id # 手机号 self.phone = phone # 组织别名 self.org_alias = org_alias def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.dept_id is not None: result['deptId'] = self.dept_id if self.partner_num is not None: result['partnerNum'] = self.partner_num if self.partner_label_id is not None: result['partnerLabelId'] = self.partner_label_id if self.phone is not None: result['phone'] = self.phone if self.org_alias is not None: result['orgAlias'] = self.org_alias return result def from_map(self, m: dict = None): m = m or dict() if m.get('deptId') is not None: self.dept_id = m.get('deptId') if m.get('partnerNum') is not None: self.partner_num = m.get('partnerNum') if m.get('partnerLabelId') is not None: self.partner_label_id = m.get('partnerLabelId') if m.get('phone') is not None: self.phone = m.get('phone') if m.get('orgAlias') is not None: self.org_alias = m.get('orgAlias') return self class SendInvitationResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, ): self.headers = headers def validate(self): self.validate_required(self.headers, 'headers') def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') return self class GetGroupActiveInfoHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class GetGroupActiveInfoRequest(TeaModel): def __init__( self, stat_date: str = None, ding_group_id: str = None, page_number: int = None, page_size: int = None, ): # 统计日期 self.stat_date = stat_date # 钉钉群组id self.ding_group_id = ding_group_id # 分页起始页 self.page_number = page_number # 分页大小 self.page_size = page_size def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.stat_date is not None: result['statDate'] = self.stat_date if self.ding_group_id is not None: result['dingGroupId'] = self.ding_group_id if self.page_number is not None: result['pageNumber'] = self.page_number if self.page_size is not None: result['pageSize'] = self.page_size return result def from_map(self, m: dict = None): m = m or dict() if m.get('statDate') is not None: self.stat_date = m.get('statDate') if m.get('dingGroupId') is not None: self.ding_group_id = m.get('dingGroupId') if m.get('pageNumber') is not None: self.page_number = m.get('pageNumber') if m.get('pageSize') is not None: self.page_size = m.get('pageSize') return self class GetGroupActiveInfoResponseBodyData(TeaModel): def __init__( self, stat_date: str = None, ding_group_id: str = None, group_create_time: str = None, group_create_user_id: str = None, group_create_user_name: str = None, group_name: str = None, group_type: int = None, group_user_cnt_1d: int = None, send_message_user_cnt_1d: int = None, send_message_cnt_1d: int = None, open_conv_uv_1d: int = None, ): # 统计时间 self.stat_date = stat_date # 群组id self.ding_group_id = ding_group_id # 群组创建时间 self.group_create_time = group_create_time # 群组创建用户id self.group_create_user_id = group_create_user_id # 群组创建用户姓名 self.group_create_user_name = group_create_user_name # 群名称 self.group_name = group_name # 群类型：1-全员群，2-部门群，3-（其他）内部群，4-场景群 self.group_type = group_type # 最近1天群人数 self.group_user_cnt_1d = group_user_cnt_1d # 最近1天发消息人数 self.send_message_user_cnt_1d = send_message_user_cnt_1d # 最近1天发消息次数 self.send_message_cnt_1d = send_message_cnt_1d # 最近1天打开群人数 self.open_conv_uv_1d = open_conv_uv_1d def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.stat_date is not None: result['statDate'] = self.stat_date if self.ding_group_id is not None: result['dingGroupId'] = self.ding_group_id if self.group_create_time is not None: result['groupCreateTime'] = self.group_create_time if self.group_create_user_id is not None: result['groupCreateUserId'] = self.group_create_user_id if self.group_create_user_name is not None: result['groupCreateUserName'] = self.group_create_user_name if self.group_name is not None: result['groupName'] = self.group_name if self.group_type is not None: result['groupType'] = self.group_type if self.group_user_cnt_1d is not None: result['groupUserCnt1d'] = self.group_user_cnt_1d if self.send_message_user_cnt_1d is not None: result['sendMessageUserCnt1d'] = self.send_message_user_cnt_1d if self.send_message_cnt_1d is not None: result['sendMessageCnt1d'] = self.send_message_cnt_1d if self.open_conv_uv_1d is not None: result['openConvUv1d'] = self.open_conv_uv_1d return result def from_map(self, m: dict = None): m = m or dict() if m.get('statDate') is not None: self.stat_date = m.get('statDate') if m.get('dingGroupId') is not None: self.ding_group_id = m.get('dingGroupId') if m.get('groupCreateTime') is not None: self.group_create_time = m.get('groupCreateTime') if m.get('groupCreateUserId') is not None: self.group_create_user_id = m.get('groupCreateUserId') if m.get('groupCreateUserName') is not None: self.group_create_user_name = m.get('groupCreateUserName') if m.get('groupName') is not None: self.group_name = m.get('groupName') if m.get('groupType') is not None: self.group_type = m.get('groupType') if m.get('groupUserCnt1d') is not None: self.group_user_cnt_1d = m.get('groupUserCnt1d') if m.get('sendMessageUserCnt1d') is not None: self.send_message_user_cnt_1d = m.get('sendMessageUserCnt1d') if m.get('sendMessageCnt1d') is not None: self.send_message_cnt_1d = m.get('sendMessageCnt1d') if m.get('openConvUv1d') is not None: self.open_conv_uv_1d = m.get('openConvUv1d') return self class GetGroupActiveInfoResponseBody(TeaModel): def __init__( self, data: List[GetGroupActiveInfoResponseBodyData] = None, total_count: int = None, ): self.data = data self.total_count = total_count def validate(self): if self.data: for k in self.data: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() result['data'] = [] if self.data is not None: for k in self.data: result['data'].append(k.to_map() if k else None) if self.total_count is not None: result['totalCount'] = self.total_count return result def from_map(self, m: dict = None): m = m or dict() self.data = [] if m.get('data') is not None: for k in m.get('data'): temp_model = GetGroupActiveInfoResponseBodyData() self.data.append(temp_model.from_map(k)) if m.get('totalCount') is not None: self.total_count = m.get('totalCount') return self class GetGroupActiveInfoResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: GetGroupActiveInfoResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = GetGroupActiveInfoResponseBody() self.body = temp_model.from_map(m['body']) return self class GetCommentListHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class GetCommentListRequest(TeaModel): def __init__( self, page_number: int = None, page_size: int = None, ): # 分页起始页 self.page_number = page_number # 分页大小 self.page_size = page_size def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.page_number is not None: result['pageNumber'] = self.page_number if self.page_size is not None: result['pageSize'] = self.page_size return result def from_map(self, m: dict = None): m = m or dict() if m.get('pageNumber') is not None: self.page_number = m.get('pageNumber') if m.get('pageSize') is not None: self.page_size = m.get('pageSize') return self class GetCommentListResponseBodyData(TeaModel): def __init__( self, comment_user_name: str = None, content: str = None, comment_time: float = None, comment_id: str = None, ): # 评论者姓名 self.comment_user_name = comment_user_name # 评论内容 self.content = content # 评论时间 self.comment_time = comment_time # 评论ID self.comment_id = comment_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.comment_user_name is not None: result['commentUserName'] = self.comment_user_name if self.content is not None: result['content'] = self.content if self.comment_time is not None: result['commentTime'] = self.comment_time if self.comment_id is not None: result['commentId'] = self.comment_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('commentUserName') is not None: self.comment_user_name = m.get('commentUserName') if m.get('content') is not None: self.content = m.get('content') if m.get('commentTime') is not None: self.comment_time = m.get('commentTime') if m.get('commentId') is not None: self.comment_id = m.get('commentId') return self class GetCommentListResponseBody(TeaModel): def __init__( self, data: List[GetCommentListResponseBodyData] = None, total_count: int = None, ): self.data = data self.total_count = total_count def validate(self): if self.data: for k in self.data: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() result['data'] = [] if self.data is not None: for k in self.data: result['data'].append(k.to_map() if k else None) if self.total_count is not None: result['totalCount'] = self.total_count return result def from_map(self, m: dict = None): m = m or dict() self.data = [] if m.get('data') is not None: for k in m.get('data'): temp_model = GetCommentListResponseBodyData() self.data.append(temp_model.from_map(k)) if m.get('totalCount') is not None: self.total_count = m.get('totalCount') return self class GetCommentListResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: GetCommentListResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = GetCommentListResponseBody() self.body = temp_model.from_map(m['body']) return self

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solved_problems/8_Largest product in a series.py

anajulijapreseren/Project_Euler

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solved_problems/8_Largest product in a series.py

anajulijapreseren/Project_Euler

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solved_problems/8_Largest product in a series.py

anajulijapreseren/Project_Euler

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[ "MIT" ]

null

# The four adjacent digits in the 1000-digit number that have the greatest product are 9 × 9 × 8 × 9 = 5832. ## #73167176531330624919225119674426574742355349194934 #96983520312774506326239578318016984801869478851843 #85861560789112949495459501737958331952853208805511 #12540698747158523863050715693290963295227443043557 #66896648950445244523161731856403098711121722383113 #62229893423380308135336276614282806444486645238749 #30358907296290491560440772390713810515859307960866 #70172427121883998797908792274921901699720888093776 #65727333001053367881220235421809751254540594752243 #52584907711670556013604839586446706324415722155397 #53697817977846174064955149290862569321978468622482 #83972241375657056057490261407972968652414535100474 #82166370484403199890008895243450658541227588666881 #16427171479924442928230863465674813919123162824586 #17866458359124566529476545682848912883142607690042 #24219022671055626321111109370544217506941658960408 #07198403850962455444362981230987879927244284909188 #84580156166097919133875499200524063689912560717606 #05886116467109405077541002256983155200055935729725 #71636269561882670428252483600823257530420752963450 ## #Find the thirteen adjacent digits in the 1000-digit number that have the greatest product. #What is the value of this product? def naredi_seznam(n): """dobimo seznam, ki vsebuje posamezne cifre števila""" sez = [] while n > 9: ostanek = n % 10 n = n // 10 sez.append(ostanek) sez.append(n) return sez[::-1] def the_greatest_product_13(n): sez = naredi_seznam(n) max_product = 0 while len(sez) >= 13: new_product = 1 for i in sez[:13]: new_product *= i max_product = max(max_product, new_product) sez = sez[1:] return max_product num = int(""" 73167176531330624919225119674426574742355349194934 96983520312774506326239578318016984801869478851843 85861560789112949495459501737958331952853208805511 12540698747158523863050715693290963295227443043557 66896648950445244523161731856403098711121722383113 62229893423380308135336276614282806444486645238749 30358907296290491560440772390713810515859307960866 70172427121883998797908792274921901699720888093776 65727333001053367881220235421809751254540594752243 52584907711670556013604839586446706324415722155397 53697817977846174064955149290862569321978468622482 83972241375657056057490261407972968652414535100474 82166370484403199890008895243450658541227588666881 16427171479924442928230863465674813919123162824586 17866458359124566529476545682848912883142607690042 24219022671055626321111109370544217506941658960408 07198403850962455444362981230987879927244284909188 84580156166097919133875499200524063689912560717606 05886116467109405077541002256983155200055935729725 71636269561882670428252483600823257530420752963450""".replace("\n", "")) print(the_greatest_product_13(num))

41.328571

108

0.86692

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2,893

15.036145

0.433735

0.017628

0.028846

0.015224

0.849359

0

0.774771

0.092983

2,893

70

109

41.328571

0.175305

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0.632911

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false

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null

0

11

d35825d58ffb0c07f5d2cd01ff45e82f6bd92bf0

101

py

Python

env/Lib/site-packages/pymssql/__init__.py

acadianshadow237/BA_MDI1

73e0e87c15ff083ce860f7a09fa2de3a3c71c215

[ "MIT" ]

5

2021-04-05T23:47:06.000Z

2021-09-18T14:50:37.000Z

env/Lib/site-packages/pymssql/__init__.py

acadianshadow237/BA_MDI1

73e0e87c15ff083ce860f7a09fa2de3a3c71c215

[ "MIT" ]

null

env/Lib/site-packages/pymssql/__init__.py

acadianshadow237/BA_MDI1

73e0e87c15ff083ce860f7a09fa2de3a3c71c215

[ "MIT" ]

1

2021-09-12T13:26:15.000Z

# -*- coding: utf-8 -*- from ._pymssql import * from ._pymssql import __version__, __full_version__

20.2

51

0.722772

12

101

5.166667

0.666667

0.354839

0.548387

0

0.011628

0.148515

101

4

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25.25

0.709302

0.207921

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true

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null

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null

0

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0

1

0

1

0

7

6cfd1c381d03faefe1c211c47421747c073f1825

27,581

py

Python

tests/test_commands/test_list_command.py

p-sherratt/shellfoundry

d1f35a31123b9e701c801345fb633b6fda5420b7

[ "Apache-2.0" ]

null

tests/test_commands/test_list_command.py

p-sherratt/shellfoundry

d1f35a31123b9e701c801345fb633b6fda5420b7

[ "Apache-2.0" ]

1

2021-03-25T23:21:02.000Z

tests/test_commands/test_list_command.py

p-sherratt/shellfoundry

d1f35a31123b9e701c801345fb633b6fda5420b7

[ "Apache-2.0" ]

null

#!/usr/bin/python # -*- coding: utf-8 -*- import unittest import httpretty from pyfakefs import fake_filesystem_unittest from click import UsageError, ClickException from mock import Mock, MagicMock, patch from requests.exceptions import SSLError from cloudshell.rest.api import FeatureUnavailable from shellfoundry.commands.list_command import ListCommandExecutor from shellfoundry.models.shell_template import ShellTemplate from shellfoundry.utilities.template_retriever import FilteredTemplateRetriever, TemplateRetriever, TEMPLATES_YML class TestListCommand(unittest.TestCase): @patch('click.echo') @patch('shellfoundry.commands.list_command.AsciiTable.column_max_width') def test_single_template_is_displayed(self, max_width_mock, echo_mock): # Arrange max_width_mock.return_value = 62 # mocking the max width to eliminate the distinction # between the running console size template_retriever = Mock() template_retriever.get_templates = Mock( return_value={'gen1/base': [ShellTemplate('gen1/base', 'description', '', '7.0')]}) standards = Mock() standards.fetch.return_value = {} list_command_executor = ListCommandExecutor(template_retriever=template_retriever, standards=standards) # Act list_command_executor.list() # Assert echo_mock.assert_any_call(u' Template Name CloudShell Ver. Description \n' u'---------------------------------------------\n' u' gen1/base 7.0 and up description ') @patch('shellfoundry.commands.list_command.Configuration') def test_shows_informative_message_when_offline(self, conf_class): # Arrange configuration = MagicMock(read=MagicMock(return_value=MagicMock(online_mode="True"))) conf_class.return_value = configuration template_retriever = Mock() template_retriever.get_templates.side_effect = SSLError() list_command_executor = ListCommandExecutor(template_retriever=template_retriever, standards=Mock()) # Assert self.assertRaisesRegexp(UsageError, "offline", list_command_executor.list) @patch('click.echo') @patch('shellfoundry.commands.list_command.AsciiTable.column_max_width') def test_two_templates_are_displayed(self, max_width_mock, echo_mock): # Arrange max_width_mock.return_value = 62 # mocking the max width to eliminate the distinction # between the running console size template_retriever = Mock() template_retriever.get_templates = Mock(return_value={ 'gen1/base': [ShellTemplate('gen1/base', 'base description', '', '7.0', 'base')], 'gen1/switch': [ShellTemplate('gen1/switch', 'switch description', '', '7.0')]}) standards = Mock() standards.fetch.return_value = {} list_command_executor = ListCommandExecutor(template_retriever=template_retriever, standards=standards) # Act list_command_executor.list() # Assert echo_mock.assert_any_call( u' Template Name CloudShell Ver. Description \n' u'----------------------------------------------------\n' u' gen1/base 7.0 and up base description \n' u' gen1/switch 7.0 and up switch description ') @patch('click.echo') @patch('shellfoundry.commands.list_command.AsciiTable.column_max_width') def test_two_long_named_templates_are_displayed_on_normal_window(self, max_width_mock, echo_mock): # Arrange max_width_mock.return_value = 40 # mocking the max width to eliminate the distinction # between the running console size template_retriever = Mock() template_retriever.get_templates = Mock(return_value={ 'gen2/networking/switch': [ShellTemplate('gen2/networking/switch', 'TOSCA based template for standard Switch devices/virtual appliances', '', '8.0')], 'gen2/networking/WirelessController': [ShellTemplate('gen2/networking/WirelessController', 'TOSCA based template for standard WirelessController devices/virtual appliances', '', '8.0')]}) standards = Mock() standards.fetch.return_value = {} list_command_executor = ListCommandExecutor(template_retriever=template_retriever, standards=standards) # Act list_command_executor.list() # Assert echo_mock.assert_any_call( u' Template Name CloudShell Ver. Description \n' u'-----------------------------------------------------------------------------------------------\n' u' gen2/networking/WirelessController 8.0 and up TOSCA based template for standard \n' u' WirelessController devices/virtual \n' u' appliances \n' u' gen2/networking/switch 8.0 and up TOSCA based template for standard Switch \n' u' devices/virtual appliances ' ) @patch('click.echo') @patch('shellfoundry.commands.list_command.AsciiTable.column_max_width') def test_console_size_small_description_wrapping_logic_ignored(self, max_width_mock, echo_mock): # Arrange max_width_mock.return_value = 0 template_retriever = Mock() template_retriever.get_templates = Mock(return_value={ 'gen2/networking/switch': [ShellTemplate('gen2/networking/switch', 'TOSCA based template for standard Switch devices/virtual appliances', '', '8.0')], 'gen2/networking/WirelessController': [ShellTemplate('gen2/networking/WirelessController', 'TOSCA based template for standard WirelessController devices/virtual appliances', '', '8.0')]}) standards = Mock() standards.fetch.return_value = {"networking": ['2.0.0'], "resource": ['5.0.0', '5.0.1'], "vido": ['3.0.1', '3.0.2', '3.0.3']} list_command_executor = ListCommandExecutor(template_retriever=template_retriever, standards=standards) # Act list_command_executor.list() # Assert echo_mock.assert_called_once_with( u' Template Name CloudShell Ver. Description \n' u'--------------------------------------------------------------------------------------------------------------------------------------\n' u' gen2/networking/WirelessController 8.0 and up TOSCA based template for standard WirelessController devices/virtual appliances \n' u' gen2/networking/switch 8.0 and up TOSCA based template for standard Switch devices/virtual appliances ' ) @patch('click.echo') @patch('shellfoundry.commands.list_command.AsciiTable.column_max_width') def test_filter_by_tosca_shows_all_tosca_templates(self, max_width_mock, echo_mock): # Arrange max_width_mock.return_value = 40 template_retriever = Mock() template_retriever.get_templates = Mock(return_value={ 'gen2/networking/switch': [ShellTemplate('gen2/networking/switch', 'TOSCA based template for standard Switch devices/virtual appliances', '', '8.0')], 'gen2/networking/WirelessController': [ShellTemplate('gen2/networking/WirelessController', 'TOSCA based template for standard WirelessController devices/virtual appliances', '', '8.0')], 'gen1/base': [ShellTemplate('gen1/base', 'base description', '', '7.0')], 'gen1/switch': [ShellTemplate('gen1/switch', 'switch description', '', '7.0')]}) flag_value = 'gen2' standards = Mock() standards.fetch.return_value = {} list_command_executor = ListCommandExecutor( template_retriever=FilteredTemplateRetriever(flag_value, template_retriever), standards=standards) # Act list_command_executor.list() # Assert echo_mock.assert_any_call( u' Template Name CloudShell Ver. Description \n' u'-----------------------------------------------------------------------------------------------\n' u' gen2/networking/WirelessController 8.0 and up TOSCA based template for standard \n' u' WirelessController devices/virtual \n' u' appliances \n' u' gen2/networking/switch 8.0 and up TOSCA based template for standard Switch \n' u' devices/virtual appliances ') @patch('click.echo') @patch('shellfoundry.commands.list_command.AsciiTable.column_max_width') def test_filter_by_legacy_shows_all_legacy_templates(self, max_width_mock, echo_mock): # Arrange max_width_mock.return_value = 62 template_retriever = Mock() template_retriever.get_templates = Mock(return_value={ 'gen2/networking/switch': [ShellTemplate('gen2/networking/switch', 'TOSCA based template for standard Switch devices/virtual appliances', '', '8.0')], 'gen2/networking/WirelessController': [ShellTemplate('gen2/networking/WirelessController', 'TOSCA based template for standard WirelessController devices/virtual appliances', '', '8.0')], 'gen1/base': [ShellTemplate('gen1/base', 'base description', '', '7.0')], 'gen1/switch': [ShellTemplate('gen1/switch', 'switch description', '', '7.0')]}) flag_value = 'gen1' standards = Mock() standards.fetch.return_value = {} list_command_executor = ListCommandExecutor( template_retriever=FilteredTemplateRetriever(flag_value, template_retriever), standards=standards) # Act list_command_executor.list() # Assert echo_mock.assert_any_call( u' Template Name CloudShell Ver. Description \n' u'----------------------------------------------------\n' u' gen1/base 7.0 and up base description \n' u' gen1/switch 7.0 and up switch description ') @patch('click.echo') @patch('shellfoundry.commands.list_command.AsciiTable.column_max_width') def test_filter_by_all_shows_all_templates(self, max_width_mock, echo_mock): # Arrange max_width_mock.return_value = 40 template_retriever = Mock() template_retriever.get_templates = Mock(return_value={ 'gen1/base': [ShellTemplate('gen1/base', 'base description', '', '7.0')], 'gen1/switch': [ShellTemplate('gen1/switch', 'switch description', '', '7.0')], 'gen2/networking/switch': [ShellTemplate('gen2/networking/switch', 'TOSCA based template for standard Switch devices/virtual appliances', '', '8.0')], 'gen2/networking/WirelessController': [ShellTemplate('gen2/networking/WirelessController', 'TOSCA based template for standard WirelessController devices/virtual appliances', '', '8.0')]}) flag_value = 'all' standards = Mock() standards.fetch.return_value = {} list_command_executor = ListCommandExecutor( template_retriever=FilteredTemplateRetriever(flag_value, template_retriever), standards=standards) # Act list_command_executor.list() # Assert echo_mock.assert_any_call( u' Template Name CloudShell Ver. Description \n' u'-----------------------------------------------------------------------------------------------\n' u' gen2/networking/WirelessController 8.0 and up TOSCA based template for standard \n' u' WirelessController devices/virtual \n' u' appliances \n' u' gen1/base 7.0 and up base description \n' u' gen1/switch 7.0 and up switch description \n' u' gen2/networking/switch 8.0 and up TOSCA based template for standard Switch \n' u' devices/virtual appliances ') # @patch('click.echo') @patch('shellfoundry.commands.list_command.AsciiTable.column_max_width') def test_list_shows_nothing_because_filter_is_set_for_templates_that_do_not_exist(self, max_width_mock): # Arrange max_width_mock.return_value = 40 template_retriever = Mock() template_retriever.get_templates = Mock(return_value={ 'gen2/networking/switch': [ShellTemplate('gen2/networking/switch', 'TOSCA based template for standard Switch devices/virtual appliances', '', '8.0')], 'gen2/networking/WirelessController': [ShellTemplate('gen2/networking/WirelessController', 'TOSCA based template for standard WirelessController devices/virtual appliances', '', '8.0')]}) flag_value = 'gen1' standards = Mock() standards.fetch.return_value = {} list_command_executor = ListCommandExecutor( template_retriever=FilteredTemplateRetriever(flag_value, template_retriever), standards=standards) # Act with self.assertRaisesRegexp(ClickException, "No templates matched the view criteria$gen1/gen2$ or " "available templates and standards are not compatible"): list_command_executor.list() # Assert # echo_mock.assert_called_once_with("No templates matched the criteria") @patch('click.echo') @patch('shellfoundry.commands.list_command.AsciiTable.column_max_width') def test_devguide_text_note_appears_when_no_filter_was_selected(self, max_width_mock, echo_mock): # Arrange max_width_mock.return_value = 40 template_retriever = Mock() template_retriever.get_templates = Mock(return_value={ 'gen2/networking/switch': [ShellTemplate('gen2/networking/switch', 'TOSCA based template for standard Switch devices/virtual appliances', '', '8.0')], 'gen2/networking/WirelessController': [ShellTemplate('gen2/networking/WirelessController', 'TOSCA based template for standard WirelessController devices/virtual appliances', '', '8.0')]}) flag_value = None standards = Mock() standards.fetch.return_value = {} list_command_executor = ListCommandExecutor( template_retriever=FilteredTemplateRetriever(flag_value, template_retriever), standards=standards) # Act list_command_executor.list() # Assert echo_mock.assert_any_call(''' As of CloudShell 8.0, CloudShell uses 2nd generation shells, to view the list of 1st generation shells use: shellfoundry list --gen1. For more information, please visit our devguide: https://qualisystems.github.io/devguide/''') @patch('click.echo') @patch('shellfoundry.commands.list_command.AsciiTable.column_max_width') @patch('shellfoundry.commands.list_command.Configuration') @patch.object(TemplateRetriever, '_get_min_cs_version') @httpretty.activate def test_templates_are_filtered_based_upon_the_result_of_cs_standards(self, _get_min_cs_version, conf_class, max_width_mock, echo_mock): # Arrange _get_min_cs_version.return_value = None configuration = MagicMock(read=MagicMock(return_value=MagicMock(online_mode="True"))) conf_class.return_value = configuration max_width_mock.return_value = 40 templates = """templates: - name : gen1/resource description : base description repository : https://github.com/QualiSystems/shell-resource-standard params: project_name : min_cs_ver: 7.0 - name : gen1/switch description : switch description repository : https://github.com/QualiSystems/shell-switch-standard params: project_name : min_cs_ver: 7.0 - name : gen2/resource params: project_name : family_name: description : 2nd generation shell template for a standard resource repository : https://github.com/QualiSystems/shellfoundry-tosca-resource-template min_cs_ver: 8.0 - name : gen2/networking/switch params: project_name : family_name: Switch description : 2nd generation shell template for a standard switch repository : https://github.com/QualiSystems/shellfoundry-tosca-networking-template min_cs_ver: 8.0 - name : gen2/networking/wireless-controller params: project_name : family_name: WirelessController description : 2nd generation shell template for a standard wireless controller repository : https://github.com/QualiSystems/shellfoundry-tosca-networking-template min_cs_ver: 8.0""" flag_value = 'all' standards = Mock() standards.fetch.return_value = {"resource": ['5.0.0']} template_retriever = FilteredTemplateRetriever(flag_value, TemplateRetriever()) httpretty.register_uri(httpretty.GET, TEMPLATES_YML, body=templates) list_command_executor = ListCommandExecutor(template_retriever=template_retriever, standards=standards) # Act list_command_executor.list() # Assert echo_mock.assert_any_call( u' Template Name CloudShell Ver. Description \n' u'---------------------------------------------------------------------\n' u' gen1/resource 7.0 and up base description \n' u' gen1/switch 7.0 and up switch description \n' u' gen2/resource 8.0 and up 2nd generation shell template for a \n' u' standard resource ') @patch('click.echo') @patch('shellfoundry.commands.list_command.AsciiTable.column_max_width') @patch('shellfoundry.commands.list_command.Configuration') @patch.object(TemplateRetriever, '_get_min_cs_version') @httpretty.activate def test_templates_are_filtered_based_upon_the_result_of_cs_standards_gen2(self, _get_min_cs_version, conf_class, max_width_mock, echo_mock): # Arrange _get_min_cs_version.return_value = None configuration = MagicMock(read=MagicMock(return_value=MagicMock(online_mode="True"))) conf_class.return_value = configuration max_width_mock.return_value = 40 templates = """templates: - name : gen1/resource description : base description repository : https://github.com/QualiSystems/shell-resource-standard params: project_name : min_cs_ver: 7.0 - name : gen1/switch description : switch description repository : https://github.com/QualiSystems/shell-switch-standard params: project_name : min_cs_ver: 7.0 - name : gen2/resource params: project_name : family_name: description : 2nd generation shell template for a standard resource repository : https://github.com/QualiSystems/shellfoundry-tosca-resource-template min_cs_ver: 8.0 - name : gen2/networking/switch params: project_name : family_name: Switch description : 2nd generation shell template for a standard switch repository : https://github.com/QualiSystems/shellfoundry-tosca-networking-template min_cs_ver: 8.0 - name : gen2/networking/wireless-controller params: project_name : family_name: WirelessController description : 2nd generation shell template for a standard wireless controller repository : https://github.com/QualiSystems/shellfoundry-tosca-networking-template min_cs_ver: 8.0""" flag_value = 'gen2' standards = Mock() standards.fetch.return_value = {"networking": ['5.0.0']} template_retriever = FilteredTemplateRetriever(flag_value, TemplateRetriever()) httpretty.register_uri(httpretty.GET, TEMPLATES_YML, body=templates) list_command_executor = ListCommandExecutor(template_retriever=template_retriever, standards=standards) # Act list_command_executor.list() # Assert echo_mock.assert_any_call( u' Template Name CloudShell Ver. Description \n' u'-------------------------------------------------------------------------------------------\n' u' gen2/networking/switch 8.0 and up 2nd generation shell template for a \n' u' standard switch \n' u' gen2/networking/wireless-controller 8.0 and up 2nd generation shell template for a \n' u' standard wireless controller ') class TestListCommandWithFakeFs(fake_filesystem_unittest.TestCase): def setUp(self): self.setUpPyfakefs() @staticmethod def get_8_0_templates_output(): return ( u' Template Name CloudShell Ver. Description \n' u'-------------------------------------------------------------------------------------------------------------------\n' u' gen1/compute 7.0 and up 1st generation shell template for compute servers \n' u' gen1/deployed-app 7.0 and up 1st generation shell template for a deployed app \n' u' gen1/firewall 7.0 and up 1st generation shell template for a standard firewall \n' u' gen1/networking/router 7.0 and up 1st generation shell template for a standard router \n' u' gen1/networking/switch 7.0 and up 1st generation shell template for a standard switch \n' u' gen1/pdu 7.0 and up 1st generation shell template for a standard pdu \n' u' gen1/resource 7.0 and up 1st generation shell template for basic inventory resources \n' u' gen1/resource-clean 7.0 and up 1st generation shell template for basic inventory resources \n' u' (without sample commands) \n' u' gen2/compute 8.0 and up 2nd generation shell template for compute servers \n' u' gen2/deployed-app 8.0 and up 2nd generation shell template for a deployed app \n' u' gen2/firewall 8.0 and up 2nd generation shell template for firewall resources \n' u' gen2/networking/router 8.0 and up 2nd generation shell template for a standard router \n' u' gen2/networking/switch 8.0 and up 2nd generation shell template for a standard switch \n' u' gen2/networking/wireless-controller 8.0 and up 2nd generation shell template for a standard wireless \n' u' controller \n' u' gen2/pdu 8.0 and up 2nd generation shell template for a standard pdu \n' u' gen2/resource 8.0 and up 2nd generation shell template for basic inventory resources \n' u' layer-1-switch 7.0 and up A native shell template for layer 1 switches ') @patch('click.echo') @patch('shellfoundry.commands.list_command.AsciiTable.column_max_width') def test_get_cs_standards_unavailable_shows_cs_8_0_shipped_templates(self, max_width_mock, echo_mock): # Assert max_width_mock.return_value = 60 from shellfoundry import ALTERNATIVE_TEMPLATES_PATH self.fs.add_real_file(ALTERNATIVE_TEMPLATES_PATH) standards = Mock(fetch=Mock(side_effect=FeatureUnavailable())) template_retriever = FilteredTemplateRetriever('all', TemplateRetriever()) list_command_executor = ListCommandExecutor(template_retriever=template_retriever, standards=standards) # Act list_command_executor.list() # Assert templates_output = self.get_8_0_templates_output() echo_mock.assert_any_call(templates_output)

54.507905

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27,581

5.722287

0.086906

0.008235

0.014985

0.043874

0.863989

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0.853729

0.846777

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0.81971

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27,581

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54.615842

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0.747368

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0.039474

false

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