xszheng2020/the_stack_dedup_python_hits_7 · Datasets at Hugging Face

8b7174c5655353741ded63d1253adc06ea6c86d0

8,769

py

Python

tests/test_turn_based_multi_corridor.py

Leonardo767/Abmarl

9fada5447b09174c6a70b6032b4a8d08b66c4589

[ "Apache-2.0" ]

7

2020-11-13T01:33:44.000Z

2021-03-05T14:30:34.000Z

tests/test_turn_based_multi_corridor.py

Leonardo767/Abmarl

9fada5447b09174c6a70b6032b4a8d08b66c4589

[ "Apache-2.0" ]

91

2020-11-04T23:34:30.000Z

2021-06-08T17:18:00.000Z

tests/test_turn_based_multi_corridor.py

Leonardo767/Abmarl

9fada5447b09174c6a70b6032b4a8d08b66c4589

[ "Apache-2.0" ]

6

2021-07-12T19:28:51.000Z

2022-03-01T00:50:02.000Z

import numpy as np import pytest from abmarl.sim.corridor import MultiCorridor as Corridor from abmarl.managers import TurnBasedManager def test_init(): sim = Corridor() wrapped_sim = TurnBasedManager(sim) assert wrapped_sim.sim == sim assert wrapped_sim.agents == sim.agents assert next(wrapped_sim.agent_order) == 'agent0' assert next(wrapped_sim.agent_order) == 'agent1' assert next(wrapped_sim.agent_order) == 'agent2' assert next(wrapped_sim.agent_order) == 'agent3' assert next(wrapped_sim.agent_order) == 'agent4' def test_reset_and_step(): np.random.seed(24) sim = TurnBasedManager(Corridor()) obs = sim.reset() assert sim.sim.corridor[4].id == 'agent3' assert sim.sim.corridor[5].id == 'agent4' assert sim.sim.corridor[6].id == 'agent2' assert sim.sim.corridor[7].id == 'agent1' assert sim.sim.corridor[8].id == 'agent0' assert sim.done_agents == set() assert obs == {'agent0': {'left': [True], 'position': [8], 'right': [False]}} obs, reward, done, info = sim.step({agent_id: Corridor.Actions.RIGHT for agent_id in obs}) assert obs == {'agent1': {'left': [True], 'position': [7], 'right': [False]}} assert reward == {'agent1': 0} assert done == {'agent1': False, '__all__': False} obs, reward, done, info = sim.step({agent_id: Corridor.Actions.RIGHT for agent_id in obs}) assert obs == {'agent2': {'left': [True], 'position': [6], 'right': [False]}} assert reward == {'agent2': 0} assert done == {'agent2': False, '__all__': False} obs, reward, done, info = sim.step({agent_id: Corridor.Actions.RIGHT for agent_id in obs}) assert obs == {'agent3': {'left': [False], 'position': [4], 'right': [True]}} assert reward == {'agent3': 0} assert done == {'agent3': False, '__all__': False} obs, reward, done, info = sim.step({agent_id: Corridor.Actions.RIGHT for agent_id in obs}) assert obs == {'agent4': {'left': [True], 'position': [5], 'right': [False]}} assert reward == {'agent4': -2} assert done == {'agent4': False, '__all__': False} obs, reward, done, info = sim.step({agent_id: Corridor.Actions.RIGHT for agent_id in obs}) assert obs == { 'agent0': {'left': [True], 'position': [9], 'right': [False]}, 'agent1': {'left': [True], 'position': [8], 'right': [False]}} assert reward == {'agent0': 100, 'agent1': -1} assert done == {'agent0': True, 'agent1': False, '__all__': False} with pytest.raises(AssertionError): sim.step({'agent0': Corridor.Actions.STAY}) obs, reward, done, info = sim.step({'agent1': Corridor.Actions.STAY}) assert obs == {'agent2': {'left': [True], 'position': [7], 'right': [True]}} assert reward == {'agent2': -1,} assert done == {'agent2': False, '__all__': False} obs, reward, done, info = sim.step({agent_id: Corridor.Actions.LEFT for agent_id in obs}) assert obs == {'agent3': {'left': [False], 'position': [4], 'right': [False]}} assert reward == {'agent3': -5} assert done == {'agent3': False, '__all__': False} obs, reward, done, info = sim.step({agent_id: Corridor.Actions.STAY for agent_id in obs}) assert obs == {'agent4': {'left': [False], 'position': [6], 'right': [True]}} assert reward == {'agent4': -3} assert done == {'agent4': False, '__all__': False} obs, reward, done, info = sim.step({agent_id: Corridor.Actions.LEFT for agent_id in obs}) assert obs == {'agent1': {'left': [True], 'position': [8], 'right': [False]}} assert reward == {'agent1': -1} assert done == {'agent1': False, '__all__': False} obs, reward, done, info = sim.step({agent_id: Corridor.Actions.RIGHT for agent_id in obs}) assert obs == {'agent2': {'left': [False], 'position': [7], 'right': [False]}} assert reward == {'agent2': -5} assert done == {'agent2': False, '__all__': False} obs, reward, done, info = sim.step({agent_id: Corridor.Actions.RIGHT for agent_id in obs}) assert obs == {'agent3': {'left': [False], 'position': [4], 'right': [True]}} assert reward == {'agent3': -1} assert done == {'agent3': False, '__all__': False} obs, reward, done, info = sim.step({agent_id: Corridor.Actions.RIGHT for agent_id in obs}) assert obs == {'agent4': {'left': [True], 'position': [5], 'right': [False]}} assert reward == {'agent4': -3} assert done == {'agent4': False, '__all__': False} obs, reward, done, info = sim.step({agent_id: Corridor.Actions.LEFT for agent_id in obs}) assert obs == { 'agent1': {'left': [True], 'position': [9], 'right': [False]}, 'agent2': {'left': [False], 'position': [8], 'right': [False]}} assert reward == {'agent1': 100, 'agent2': -1} assert done == {'agent1': True, 'agent2': False, '__all__': False} with pytest.raises(AssertionError): sim.step({'agent1': Corridor.Actions.STAY}) obs, reward, done, info = sim.step({'agent2': Corridor.Actions.STAY}) assert obs == {'agent3': {'left': [False], 'position': [4], 'right': [True]}} assert reward == {'agent3': -7,} assert done == {'agent3': False, '__all__': False} obs, reward, done, info = sim.step({agent_id: Corridor.Actions.LEFT for agent_id in obs}) assert obs == {'agent4': {'left': [False], 'position': [5], 'right': [False]}} assert reward == {'agent4': -5,} assert done == {'agent4': False, '__all__': False} obs, reward, done, info = sim.step({agent_id: Corridor.Actions.RIGHT for agent_id in obs}) assert obs == {'agent2': {'left': [False], 'position': [8], 'right': [False]}} assert reward == {'agent2': -1,} assert done == {'agent2': False, '__all__': False} obs, reward, done, info = sim.step({agent_id: Corridor.Actions.RIGHT for agent_id in obs}) assert obs == {'agent3': {'left': [False], 'position': [3], 'right': [False]}} assert reward == {'agent3': -1,} assert done == {'agent3': False, '__all__': False} obs, reward, done, info = sim.step({agent_id: Corridor.Actions.RIGHT for agent_id in obs}) assert obs == {'agent4': {'left': [False], 'position': [6], 'right': [False]}} assert reward == {'agent4': -1,} assert done == {'agent4': False, '__all__': False} obs, reward, done, info = sim.step({agent_id: Corridor.Actions.RIGHT for agent_id in obs}) assert obs == { 'agent2': {'left': [False], 'position': [9], 'right': [False]}, 'agent3': {'left': [False], 'position': [4], 'right': [False]}} assert reward == {'agent2': 100, 'agent3': -1} assert done == {'agent2': True, 'agent3': False, '__all__': False} with pytest.raises(AssertionError): sim.step({'agent2': Corridor.Actions.STAY}) obs, reward, done, info = sim.step({'agent3': Corridor.Actions.RIGHT}) assert obs == {'agent4': {'left': [False], 'position': [7], 'right': [False]}} assert reward == {'agent4': -1,} assert done == {'agent4': False, '__all__': False} obs, reward, done, info = sim.step({agent_id: Corridor.Actions.RIGHT for agent_id in obs}) assert obs == {'agent3': {'left': [False], 'position': [5], 'right': [False]}} assert reward == {'agent3': -1,} assert done == {'agent3': False, '__all__': False} obs, reward, done, info = sim.step({agent_id: Corridor.Actions.RIGHT for agent_id in obs}) assert obs == {'agent4': {'left': [False], 'position': [8], 'right': [False]}} assert reward == {'agent4': -1,} assert done == {'agent4': False, '__all__': False} obs, reward, done, info = sim.step({agent_id: Corridor.Actions.RIGHT for agent_id in obs}) assert obs == {'agent3': {'left': [False], 'position': [6], 'right': [False]}} assert reward == {'agent3': -1,} assert done == {'agent3': False, '__all__': False} obs, reward, done, info = sim.step({agent_id: Corridor.Actions.RIGHT for agent_id in obs}) assert obs == { 'agent4': {'left': [False], 'position': [9], 'right': [False]}, 'agent3': {'left': [False], 'position': [7], 'right': [False]}} assert reward == {'agent4': 100, 'agent3': -1} assert done == {'agent4': True, 'agent3': False, '__all__': False} with pytest.raises(AssertionError): sim.step({'agent4': Corridor.Actions.STAY}) obs, reward, done, info = sim.step({'agent3': Corridor.Actions.RIGHT}) assert obs == {'agent3': {'left': [False], 'position': [8], 'right': [False]}} assert reward == {'agent3': -1,} assert done == {'agent3': False, '__all__': False} obs, reward, done, info = sim.step({agent_id: Corridor.Actions.RIGHT for agent_id in obs}) assert obs == {'agent3': {'left': [False], 'position': [9], 'right': [False]}} assert reward == {'agent3': 100,} assert done == {'agent3': True, '__all__': True}

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8b7f868d3f7c27e3e3be7a0e999e3115461c5714

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py

Python

Trakttv.bundle/Contents/Libraries/Shared/plugin/core/backup/tasks/__init__.py

disrupted/Trakttv.bundle

24712216c71f3b22fd58cb5dd89dad5bb798ed60

[ "RSA-MD" ]

1,346

2015-01-01T14:52:24.000Z

2022-03-28T12:50:48.000Z

Trakttv.bundle/Contents/Libraries/Shared/plugin/core/backup/tasks/__init__.py

alcroito/Plex-Trakt-Scrobbler

4f83fb0860dcb91f860d7c11bc7df568913c82a6

[ "RSA-MD" ]

474

2015-01-01T10:27:46.000Z

2022-03-21T12:26:16.000Z

Trakttv.bundle/Contents/Libraries/Shared/plugin/core/backup/tasks/__init__.py

alcroito/Plex-Trakt-Scrobbler

4f83fb0860dcb91f860d7c11bc7df568913c82a6

[ "RSA-MD" ]

191

2015-01-02T18:27:22.000Z

2022-03-29T10:49:48.000Z

from plugin.core.backup.tasks.archive import ArchiveTask from plugin.core.backup.tasks.compact import CompactTask

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Python

Keras_tensorflow_nightly/source2.7/tensorflow/tools/api/generator/api/keras/metrics/__init__.py

Con-Mi/lambda-packs

b23a8464abdd88050b83310e1d0e99c54dac28ab

[ "MIT" ]

3

2019-04-01T11:03:04.000Z

2019-12-31T02:17:15.000Z

Keras_tensorflow_nightly/source2.7/tensorflow/tools/api/generator/api/keras/metrics/__init__.py

Con-Mi/lambda-packs

b23a8464abdd88050b83310e1d0e99c54dac28ab

[ "MIT" ]

1

2021-04-15T18:46:45.000Z

Keras_tensorflow_nightly/source2.7/tensorflow/tools/api/generator/api/keras/metrics/__init__.py

Con-Mi/lambda-packs

b23a8464abdd88050b83310e1d0e99c54dac28ab

[ "MIT" ]

1

2021-09-23T13:43:07.000Z

"""Imports for Python API. This file is MACHINE GENERATED! Do not edit. Generated by: tensorflow/tools/api/generator/create_python_api.py script. """ from tensorflow.python.keras._impl.keras.losses import KLD as kullback_leibler_divergence from tensorflow.python.keras._impl.keras.losses import MAE as mean_absolute_error from tensorflow.python.keras._impl.keras.losses import MAPE as mean_absolute_percentage_error from tensorflow.python.keras._impl.keras.losses import MSE as mean_squared_error from tensorflow.python.keras._impl.keras.losses import MSLE as mean_squared_logarithmic_error from tensorflow.python.keras._impl.keras.losses import binary_crossentropy from tensorflow.python.keras._impl.keras.losses import categorical_crossentropy from tensorflow.python.keras._impl.keras.losses import cosine as cosine_proximity from tensorflow.python.keras._impl.keras.losses import hinge from tensorflow.python.keras._impl.keras.losses import poisson from tensorflow.python.keras._impl.keras.losses import sparse_categorical_crossentropy from tensorflow.python.keras._impl.keras.losses import squared_hinge from tensorflow.python.keras._impl.keras.metrics import binary_accuracy from tensorflow.python.keras._impl.keras.metrics import categorical_accuracy from tensorflow.python.keras._impl.keras.metrics import deserialize from tensorflow.python.keras._impl.keras.metrics import get from tensorflow.python.keras._impl.keras.metrics import serialize from tensorflow.python.keras._impl.keras.metrics import sparse_top_k_categorical_accuracy from tensorflow.python.keras._impl.keras.metrics import top_k_categorical_accuracy

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47742c33aedfdd4508d7eb82fdc9df7fa86c0e3e

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py

Python

tests/test_d3heatmap.py

erdogant/d3heatmap

3755bcbea7893ee9487c1f7ae8212db0f1973ad4

[ "MIT" ]

5

2021-06-18T19:46:06.000Z

2022-03-09T00:09:23.000Z

tests/test_d3heatmap.py

erdogant/d3heatmap

3755bcbea7893ee9487c1f7ae8212db0f1973ad4

[ "MIT" ]

null

tests/test_d3heatmap.py

erdogant/d3heatmap

3755bcbea7893ee9487c1f7ae8212db0f1973ad4

[ "MIT" ]

2

2021-04-05T22:38:56.000Z

2022-01-05T00:13:06.000Z

import d3heatmap as d3heatmap def test_plot(): pass

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py

Python

Algorithm/Sum Questions/67. Add Binary - Sol 2 O(n) TS.py

smsubham/Data-Structure-Algorithms-Questions

45da68231907068ef4e4a0444ffdac69b337fa7c

[ "Apache-2.0" ]

null

Algorithm/Sum Questions/67. Add Binary - Sol 2 O(n) TS.py

smsubham/Data-Structure-Algorithms-Questions

45da68231907068ef4e4a0444ffdac69b337fa7c

[ "Apache-2.0" ]

null

Algorithm/Sum Questions/67. Add Binary - Sol 2 O(n) TS.py

smsubham/Data-Structure-Algorithms-Questions

45da68231907068ef4e4a0444ffdac69b337fa7c

[ "Apache-2.0" ]

null

#https://leetcode.com/problems/add-binary/ #https://leetcode.com/problems/add-binary/discuss/279879/Python-easy-to-understand

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Python

src/apps/tasks/migrations/0002_auto_20191203_1911.py

binfeng1018/competitions-v2

173ea6053b7eda5de3a9f1a687dfb0d43bfc4e9c

[ "Apache-2.0" ]

19

2018-07-27T19:14:10.000Z

2021-12-08T16:34:42.000Z

src/apps/tasks/migrations/0002_auto_20191203_1911.py

binfeng1018/competitions-v2

173ea6053b7eda5de3a9f1a687dfb0d43bfc4e9c

[ "Apache-2.0" ]

516

2017-07-27T15:45:43.000Z

2022-02-10T07:57:46.000Z

src/apps/tasks/migrations/0002_auto_20191203_1911.py

binfeng1018/competitions-v2

173ea6053b7eda5de3a9f1a687dfb0d43bfc4e9c

[ "Apache-2.0" ]

16

2018-01-01T19:07:01.000Z

2021-09-17T07:59:59.000Z

# Generated by Django 2.1.11 on 2019-12-03 19:11 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('tasks', '0001_initial'), ] operations = [ migrations.AddField( model_name='solution', name='chahub_data_hash', field=models.TextField(blank=True, null=True), ), migrations.AddField( model_name='solution', name='chahub_needs_retry', field=models.BooleanField(default=False), ), migrations.AddField( model_name='solution', name='chahub_timestamp', field=models.DateTimeField(blank=True, null=True), ), migrations.AddField( model_name='solution', name='deleted', field=models.BooleanField(default=False), ), migrations.AddField( model_name='solution', name='is_public', field=models.BooleanField(default=False), ), migrations.AddField( model_name='solution', name='md5', field=models.CharField(blank=True, max_length=32, null=True), ), migrations.AddField( model_name='task', name='chahub_data_hash', field=models.TextField(blank=True, null=True), ), migrations.AddField( model_name='task', name='chahub_needs_retry', field=models.BooleanField(default=False), ), migrations.AddField( model_name='task', name='chahub_timestamp', field=models.DateTimeField(blank=True, null=True), ), migrations.AddField( model_name='task', name='deleted', field=models.BooleanField(default=False), ), ]

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Python

canvas_sdk/methods/appointment_groups.py

david-house-harvard/canvas_python_sdk

9c2e59621a9a5667bc43c253ef801482b241a2c1

[ "MIT" ]

21

2015-06-12T13:49:04.000Z

2021-11-08T05:37:44.000Z

canvas_sdk/methods/appointment_groups.py

david-house-harvard/canvas_python_sdk

9c2e59621a9a5667bc43c253ef801482b241a2c1

[ "MIT" ]

44

2015-02-04T15:26:52.000Z

2021-12-03T17:47:00.000Z

canvas_sdk/methods/appointment_groups.py

david-house-harvard/canvas_python_sdk

9c2e59621a9a5667bc43c253ef801482b241a2c1

[ "MIT" ]

7

2015-07-20T23:56:03.000Z

2021-02-23T17:13:00.000Z

from canvas_sdk import client, utils def list_appointment_groups(request_ctx, scope=None, context_codes=None, include_past_appointments=None, include=None, **request_kwargs): """ Retrieve the list of appointment groups that can be reserved or managed by the current user. :param request_ctx: The request context :type request_ctx: :class:RequestContext :param scope: (optional) Defaults to "reservable" :type scope: string or None :param context_codes: (optional) Array of context codes used to limit returned results. :type context_codes: string or None :param include_past_appointments: (optional) Defaults to false. If true, includes past appointment groups :type include_past_appointments: boolean or None :param include: (optional) Array of additional information to include. "appointments":: calendar event time slots for this appointment group "child_events":: reservations of those time slots "participant_count":: number of reservations "reserved_times":: the event id, start time and end time of reservations the current user has made) :type include: string or None :return: List appointment groups :rtype: requests.Response (with void data) """ scope_types = ('reservable', 'manageable') include_types = ('appointments', 'child_events', 'participant_count', 'reserved_times') utils.validate_attr_is_acceptable(scope, scope_types) utils.validate_attr_is_acceptable(include, include_types) path = '/v1/appointment_groups' payload = { 'scope' : scope, 'context_codes' : context_codes, 'include_past_appointments' : include_past_appointments, 'include' : include, } url = request_ctx.base_api_url + path.format() response = client.get(request_ctx, url, payload=payload, **request_kwargs) return response def create_appointment_group(request_ctx, appointment_group_context_codes, appointment_group_sub_context_codes=None, appointment_group_title=None, appointment_group_description=None, appointment_group_location_name=None, appointment_group_location_address=None, appointment_group_publish=None, appointment_group_participants_per_appointment=None, appointment_group_min_appointments_per_participant=None, appointment_group_max_appointments_per_participant=None, appointment_group_new_appointments_X=None, appointment_group_participant_visibility=None, **request_kwargs): """ Create and return a new appointment group. If new_appointments are specified, the response will return a new_appointments array (same format as appointments array, see "List appointment groups" action) :param request_ctx: The request context :type request_ctx: :class:RequestContext :param appointment_group_context_codes: (required) Array of context codes (courses, e.g. course_1) this group should be linked to (1 or more). Users in the course(s) with appropriate permissions will be able to sign up for this appointment group. :type appointment_group_context_codes: string :param appointment_group_sub_context_codes: (optional) Array of sub context codes (course sections or a single group category) this group should be linked to. Used to limit the appointment group to particular sections. If a group category is specified, students will sign up in groups and the participant_type will be "Group" instead of "User". :type appointment_group_sub_context_codes: string or None :param appointment_group_title: (optional) Short title for the appointment group. :type appointment_group_title: string or None :param appointment_group_description: (optional) Longer text description of the appointment group. :type appointment_group_description: string or None :param appointment_group_location_name: (optional) Location name of the appointment group. :type appointment_group_location_name: string or None :param appointment_group_location_address: (optional) Location address. :type appointment_group_location_address: string or None :param appointment_group_publish: (optional) Indicates whether this appointment group should be published (i.e. made available for signup). Once published, an appointment group cannot be unpublished. Defaults to false. :type appointment_group_publish: boolean or None :param appointment_group_participants_per_appointment: (optional) Maximum number of participants that may register for each time slot. Defaults to null (no limit). :type appointment_group_participants_per_appointment: integer or None :param appointment_group_min_appointments_per_participant: (optional) Minimum number of time slots a user must register for. If not set, users do not need to sign up for any time slots. :type appointment_group_min_appointments_per_participant: integer or None :param appointment_group_max_appointments_per_participant: (optional) Maximum number of time slots a user may register for. :type appointment_group_max_appointments_per_participant: integer or None :param appointment_group_new_appointments_X: (optional) Nested array of start time/end time pairs indicating time slots for this appointment group. Refer to the example request. :type appointment_group_new_appointments_X: string or None :param appointment_group_participant_visibility: (optional) "private":: participants cannot see who has signed up for a particular time slot "protected":: participants can see who has signed up. Defaults to "private". :type appointment_group_participant_visibility: string or None :return: Create an appointment group :rtype: requests.Response (with void data) """ appointment_group_participant_visibility_types = ('private', 'protected') utils.validate_attr_is_acceptable(appointment_group_participant_visibility, appointment_group_participant_visibility_types) path = '/v1/appointment_groups' payload = { 'appointment_group[context_codes]' : appointment_group_context_codes, 'appointment_group[sub_context_codes]' : appointment_group_sub_context_codes, 'appointment_group[title]' : appointment_group_title, 'appointment_group[description]' : appointment_group_description, 'appointment_group[location_name]' : appointment_group_location_name, 'appointment_group[location_address]' : appointment_group_location_address, 'appointment_group[publish]' : appointment_group_publish, 'appointment_group[participants_per_appointment]' : appointment_group_participants_per_appointment, 'appointment_group[min_appointments_per_participant]' : appointment_group_min_appointments_per_participant, 'appointment_group[max_appointments_per_participant]' : appointment_group_max_appointments_per_participant, 'appointment_group[new_appointments][X]' : appointment_group_new_appointments_X, 'appointment_group[participant_visibility]' : appointment_group_participant_visibility, } url = request_ctx.base_api_url + path.format() response = client.post(request_ctx, url, payload=payload, **request_kwargs) return response def get_single_appointment_group(request_ctx, id, include=None, **request_kwargs): """ Returns information for a single appointment group :param request_ctx: The request context :type request_ctx: :class:RequestContext :param id: (required) ID :type id: string :param include: (optional) Array of additional information to include. Ssee include[] argument of "List appointment groups" action. "child_events":: reservations of time slots time slots "appointments":: will always be returned :type include: string or None :return: Get a single appointment group :rtype: requests.Response (with void data) """ include_types = ('child_events', 'appointments') utils.validate_attr_is_acceptable(include, include_types) path = '/v1/appointment_groups/{id}' payload = { 'include' : include, } url = request_ctx.base_api_url + path.format(id=id) response = client.get(request_ctx, url, payload=payload, **request_kwargs) return response def update_appointment_group(request_ctx, id, appointment_group_context_codes, appointment_group_sub_context_codes=None, appointment_group_title=None, appointment_group_description=None, appointment_group_location_name=None, appointment_group_location_address=None, appointment_group_publish=None, appointment_group_participants_per_appointment=None, appointment_group_min_appointments_per_participant=None, appointment_group_max_appointments_per_participant=None, appointment_group_new_appointments_X=None, appointment_group_participant_visibility=None, **request_kwargs): """ Update and return an appointment group. If new_appointments are specified, the response will return a new_appointments array (same format as appointments array, see "List appointment groups" action). :param request_ctx: The request context :type request_ctx: :class:RequestContext :param id: (required) ID :type id: string :param appointment_group_context_codes: (required) Array of context codes (courses, e.g. course_1) this group should be linked to (1 or more). Users in the course(s) with appropriate permissions will be able to sign up for this appointment group. :type appointment_group_context_codes: string :param appointment_group_sub_context_codes: (optional) Array of sub context codes (course sections or a single group category) this group should be linked to. Used to limit the appointment group to particular sections. If a group category is specified, students will sign up in groups and the participant_type will be "Group" instead of "User". :type appointment_group_sub_context_codes: string or None :param appointment_group_title: (optional) Short title for the appointment group. :type appointment_group_title: string or None :param appointment_group_description: (optional) Longer text description of the appointment group. :type appointment_group_description: string or None :param appointment_group_location_name: (optional) Location name of the appointment group. :type appointment_group_location_name: string or None :param appointment_group_location_address: (optional) Location address. :type appointment_group_location_address: string or None :param appointment_group_publish: (optional) Indicates whether this appointment group should be published (i.e. made available for signup). Once published, an appointment group cannot be unpublished. Defaults to false. :type appointment_group_publish: boolean or None :param appointment_group_participants_per_appointment: (optional) Maximum number of participants that may register for each time slot. Defaults to null (no limit). :type appointment_group_participants_per_appointment: integer or None :param appointment_group_min_appointments_per_participant: (optional) Minimum number of time slots a user must register for. If not set, users do not need to sign up for any time slots. :type appointment_group_min_appointments_per_participant: integer or None :param appointment_group_max_appointments_per_participant: (optional) Maximum number of time slots a user may register for. :type appointment_group_max_appointments_per_participant: integer or None :param appointment_group_new_appointments_X: (optional) Nested array of start time/end time pairs indicating time slots for this appointment group. Refer to the example request. :type appointment_group_new_appointments_X: string or None :param appointment_group_participant_visibility: (optional) "private":: participants cannot see who has signed up for a particular time slot "protected":: participants can see who has signed up. Defaults to "private". :type appointment_group_participant_visibility: string or None :return: Update an appointment group :rtype: requests.Response (with void data) """ appointment_group_participant_visibility_types = ('private', 'protected') utils.validate_attr_is_acceptable(appointment_group_participant_visibility, appointment_group_participant_visibility_types) path = '/v1/appointment_groups/{id}' payload = { 'appointment_group[context_codes]' : appointment_group_context_codes, 'appointment_group[sub_context_codes]' : appointment_group_sub_context_codes, 'appointment_group[title]' : appointment_group_title, 'appointment_group[description]' : appointment_group_description, 'appointment_group[location_name]' : appointment_group_location_name, 'appointment_group[location_address]' : appointment_group_location_address, 'appointment_group[publish]' : appointment_group_publish, 'appointment_group[participants_per_appointment]' : appointment_group_participants_per_appointment, 'appointment_group[min_appointments_per_participant]' : appointment_group_min_appointments_per_participant, 'appointment_group[max_appointments_per_participant]' : appointment_group_max_appointments_per_participant, 'appointment_group[new_appointments][X]' : appointment_group_new_appointments_X, 'appointment_group[participant_visibility]' : appointment_group_participant_visibility, } url = request_ctx.base_api_url + path.format(id=id) response = client.put(request_ctx, url, payload=payload, **request_kwargs) return response def delete_appointment_group(request_ctx, id, cancel_reason=None, **request_kwargs): """ Delete an appointment group (and associated time slots and reservations) and return the deleted group :param request_ctx: The request context :type request_ctx: :class:RequestContext :param id: (required) ID :type id: string :param cancel_reason: (optional) Reason for deleting/canceling the appointment group. :type cancel_reason: string or None :return: Delete an appointment group :rtype: requests.Response (with void data) """ path = '/v1/appointment_groups/{id}' payload = { 'cancel_reason' : cancel_reason, } url = request_ctx.base_api_url + path.format(id=id) response = client.delete(request_ctx, url, payload=payload, **request_kwargs) return response def list_user_participants(request_ctx, id, registration_status=None, **request_kwargs): """ List users that are (or may be) participating in this appointment group. Refer to the Users API for the response fields. Returns no results for appointment groups with the "Group" participant_type. :param request_ctx: The request context :type request_ctx: :class:RequestContext :param id: (required) ID :type id: string :param registration_status: (optional) Limits results to the a given participation status, defaults to "all" :type registration_status: string or None :return: List user participants :rtype: requests.Response (with void data) """ registration_status_types = ('all', 'registered', 'registered') utils.validate_attr_is_acceptable(registration_status, registration_status_types) path = '/v1/appointment_groups/{id}/users' payload = { 'registration_status' : registration_status, } url = request_ctx.base_api_url + path.format(id=id) response = client.get(request_ctx, url, payload=payload, **request_kwargs) return response def list_student_group_participants(request_ctx, id, registration_status=None, **request_kwargs): """ List student groups that are (or may be) participating in this appointment group. Refer to the Groups API for the response fields. Returns no results for appointment groups with the "User" participant_type. :param request_ctx: The request context :type request_ctx: :class:RequestContext :param id: (required) ID :type id: string :param registration_status: (optional) Limits results to the a given participation status, defaults to "all" :type registration_status: string or None :return: List student group participants :rtype: requests.Response (with void data) """ registration_status_types = ('all', 'registered', 'registered') utils.validate_attr_is_acceptable(registration_status, registration_status_types) path = '/v1/appointment_groups/{id}/groups' payload = { 'registration_status' : registration_status, } url = request_ctx.base_api_url + path.format(id=id) response = client.get(request_ctx, url, payload=payload, **request_kwargs) return response

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Python

ample/util/tests/test_reference_manager.py

fsimkovic/ample

c3c2196ca292e831e3cd8d15e3d3079bb6609848

[ "BSD-3-Clause" ]

6

2017-03-17T14:43:14.000Z

2021-08-06T07:07:14.000Z

ample/util/tests/test_reference_manager.py

fsimkovic/ample

c3c2196ca292e831e3cd8d15e3d3079bb6609848

[ "BSD-3-Clause" ]

47

2017-03-17T14:37:09.000Z

2021-01-28T10:22:15.000Z

ample/util/tests/test_reference_manager.py

fsimkovic/ample

c3c2196ca292e831e3cd8d15e3d3079bb6609848

[ "BSD-3-Clause" ]

6

2017-09-26T08:45:09.000Z

2020-03-19T14:26:49.000Z

"""Test functions for util.ample_util""" import sys import unittest from ample.util import reference_manager class Test(unittest.TestCase): def test_construct_references(self): # import argparse from ample.util import config_util, argparse_util options = config_util.AMPLEConfigOptions() argso = argparse_util.process_command_line(args=['-mtz', 'foo', '-fasta', 'bar']) options.populate(argso) refMgr = reference_manager.ReferenceManager(options.d) ref_references = '* Bibby et al. (2012). AMPLE: A cluster-and-truncate approach to solve the crystal structures of small proteins using rapidly computed ab initio models. Acta Crystallogr. Sect. D Biol. Crystallogr. 68(12), 1622-1631. [doi:10.1107/S0907444912039194]\n\n* Winn et al. (2011). Overview of the CCP4 suite and current developments. Acta Crystallographica Section D 67(4), 235-242. [doi:10.1107/S0907444910045749]\n\n* Thomas et al. (2015). Routine phasing of coiled-coil protein crystal structures with AMPLE. IUCrJ 2(2), 198-206. [doi:10.1107/S2052252515002080]\n\n* Simkovic et al. (2016). Residue contacts predicted by evolutionary covariance extend the application of ab initio molecular replacement to larger and more challenging protein folds. IUCrJ 3(4), 259-270. [doi:10.1107/S2052252516008113]\n\n* Bradley et al. (2005). Toward High-Resolution de Novo Structure Prediction for Small Proteins. Science 309(5742), 1868-1871. [doi:10.1126/science.1113801]\n\n* Grosse-Kunstleve et al. (2002). The Computational Crystallography Toolbox: crystallographic algorithms in a reusable software framework. Journal of Applied Crystallography 35(1), 126-136. [doi:10.1107/S0021889801017824]\n\n* Theobald et al. (2006). THESEUS: maximum likelihood superpositioning and analysis of macromolecular structures. Bioinformatics 22(17), 2171-2172. [doi:10.1093/bioinformatics/btl332]\n\n* Krissinel et al. (2012). Enhanced fold recognition using efficient short fragment clustering. Journal of molecular biochemistry 1(2), 76-85. [doi:]\n\n* Zhang et al. (2004). SPICKER: A clustering approach to identify near-native protein folds. Journal of Computational Chemistry 25(6), 865-871. [doi:10.1002/jcc.20011]\n\n* Keegan et al. (2018). Recent developments in MrBUMP: better search-model preparation, graphical interaction with search models, and solution improvement and assessment. Acta Crystallographica Section D 74(3), 167-182. [doi:10.1107/S2059798318003455]\n\n* Murshudov et al. (1997). Refinement of macromolecular structures by the maximum-likelihood method. Acta Crystallogr. Sect. D Biol. Crystallogr. 53(3), 240-255. [doi:10.1107/S0907444996012255]\n\n* Thorn et al. (2013). Extending molecular-replacement solutions with SHELXE. Acta Crystallogr. Sect. D Biol. Crystallogr. 69(11), 2251-2256. [doi:10.1107/S0907444913027534]\n\n* Cohen et al. (2008). ARP/wARP and molecular replacement: the next generation. Acta Crystallogr. Sect. D Biol. Crystallogr. 64(1), 49-60. [doi:10.1107/S0907444907047580]\n\n' ref_references_windows = '* Bibby et al. (2012). AMPLE: A cluster-and-truncate approach to solve the crystal structures of small proteins using rapidly computed ab initio models. Acta Crystallogr. Sect. D Biol. Crystallogr. 68(12), 1622-1631. [doi:10.1107/S0907444912039194]\r\n\r\n* Winn et al. (2011). Overview of the CCP4 suite and current developments. Acta Crystallographica Section D 67(4), 235-242. [doi:10.1107/S0907444910045749]\r\n\r\n* Thomas et al. (2015). Routine phasing of coiled-coil protein crystal structures with AMPLE. IUCrJ 2(2), 198-206. [doi:10.1107/S2052252515002080]\r\n\r\n* Simkovic et al. (2016). Residue contacts predicted by evolutionary covariance extend the application of ab initio molecular replacement to larger and more challenging protein folds. IUCrJ 3(4), 259-270. [doi:10.1107/S2052252516008113]\r\n\r\n* Bradley et al. (2005). Toward High-Resolution de Novo Structure Prediction for Small Proteins. Science 309(5742), 1868-1871. [doi:10.1126/science.1113801]\r\n\r\n* Grosse-Kunstleve et al. (2002). The Computational Crystallography Toolbox: crystallographic algorithms in a reusable software framework. Journal of Applied Crystallography 35(1), 126-136. [doi:10.1107/S0021889801017824]\r\n\r\n* Theobald et al. (2006). THESEUS: maximum likelihood superpositioning and analysis of macromolecular structures. Bioinformatics 22(17), 2171-2172. [doi:10.1093/bioinformatics/btl332]\r\n\r\n* Krissinel et al. (2012). Enhanced fold recognition using efficient short fragment clustering. Journal of molecular biochemistry 1(2), 76-85. [doi:]\r\n\r\n* Zhang et al. (2004). SPICKER: A clustering approach to identify near-native protein folds. Journal of Computational Chemistry 25(6), 865-871. [doi:10.1002/jcc.20011]\r\n\r\n* Keegan et al. (2018). Recent developments in MrBUMP: better search-model preparation, graphical interaction with search models, and solution improvement and assessment. Acta Crystallographica Section D 74(3), 167-182. [doi:10.1107/S2059798318003455]\r\n\r\n* Murshudov et al. (1997). Refinement of macromolecular structures by the maximum-likelihood method. Acta Crystallogr. Sect. D Biol. Crystallogr. 53(3), 240-255. [doi:10.1107/S0907444996012255]\r\n\r\n* Thorn et al. (2013). Extending molecular-replacement solutions with SHELXE. Acta Crystallogr. Sect. D Biol. Crystallogr. 69(11), 2251-2256. [doi:10.1107/S0907444913027534]\r\n\r\n* Cohen et al. (2008). ARP/wARP and molecular replacement: the next generation. Acta Crystallogr. Sect. D Biol. Crystallogr. 64(1), 49-60. [doi:10.1107/S0907444907047580]\r\n\r\n' # We may not run (e.g.) arpwarp, so need to be tolerant of missing citations. if sys.platform.startswith("win"): self.assertGreaterEqual(ref_references_windows.index(refMgr.citation_list_as_text), 0) else: self.assertGreaterEqual(ref_references.index(refMgr.citation_list_as_text), 0) options.d['nmr_model_in'] = 'foo' options.d['transmembrane'] = True options.d['use_scwrl'] = True options.d['do_mr'] = False refMgr = reference_manager.ReferenceManager(options.d) ref_references = '<h3>References</h3><ol><li> Bibby et al. (2012). AMPLE: A cluster-and-truncate approach to solve the crystal structures of small proteins using rapidly computed ab initio models. Acta Crystallogr. Sect. D Biol. Crystallogr. 68(12), 1622-1631. [doi:10.1107/S0907444912039194]</li><li> Winn et al. (2011). Overview of the CCP4 suite and current developments. Acta Crystallographica Section D 67(4), 235-242. [doi:10.1107/S0907444910045749]</li><li> Thomas et al. (2015). Routine phasing of coiled-coil protein crystal structures with AMPLE. IUCrJ 2(2), 198-206. [doi:10.1107/S2052252515002080]</li><li> Simkovic et al. (2016). Residue contacts predicted by evolutionary covariance extend the application of ab initio molecular replacement to larger and more challenging protein folds. IUCrJ 3(4), 259-270. [doi:10.1107/S2052252516008113]</li><li> Bradley et al. (2005). Toward High-Resolution de Novo Structure Prediction for Small Proteins. Science 309(5742), 1868-1871. [doi:10.1126/science.1113801]</li><li> Bibby et al. (2013). Application of the AMPLE cluster-and-truncate approach to NMR structures for molecular replacement. Acta Crystallogr. Sect. D Biol. Crystallogr. 69(11), 2194-2201. [doi:10.1107/S0907444913018453]</li><li> Thomas et al. (2017). Approaches to ab initio molecular replacement of alpha-helical transmembrane proteins. Acta Crystallographica Section D 73(12), 985-996. [doi:10.1107/S2059798317016436]</li><li> Grosse-Kunstleve et al. (2002). The Computational Crystallography Toolbox: crystallographic algorithms in a reusable software framework. Journal of Applied Crystallography 35(1), 126-136. [doi:10.1107/S0021889801017824]</li><li> Theobald et al. (2006). THESEUS: maximum likelihood superpositioning and analysis of macromolecular structures. Bioinformatics 22(17), 2171-2172. [doi:10.1093/bioinformatics/btl332]</li><li> Krissinel et al. (2012). Enhanced fold recognition using efficient short fragment clustering. Journal of molecular biochemistry 1(2), 76-85. [doi:]</li><li> Krivov et al. (2009). Improved prediction of protein side-chain conformations with SCWRL4. Proteins: Struct., Funct., Bioinf. 77(4), 778-795. [doi:10.1002/prot.22488]</li></ol>' self.assertEqual(refMgr.citations_as_html, ref_references) if __name__ == "__main__": unittest.main()

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777,868

py

Python

venv/lib/python3.6/site-packages/ansible_collections/fortinet/fortios/plugins/modules/fortios_wireless_controller_wtp_profile.py

usegalaxy-no/usegalaxy

75dad095769fe918eb39677f2c887e681a747f3a

[ "MIT" ]

1

2020-01-22T13:11:23.000Z

venv/lib/python3.6/site-packages/ansible_collections/fortinet/fortios/plugins/modules/fortios_wireless_controller_wtp_profile.py

usegalaxy-no/usegalaxy

75dad095769fe918eb39677f2c887e681a747f3a

[ "MIT" ]

12

2020-02-21T07:24:52.000Z

2020-04-14T09:54:32.000Z

venv/lib/python3.6/site-packages/ansible_collections/fortinet/fortios/plugins/modules/fortios_wireless_controller_wtp_profile.py

usegalaxy-no/usegalaxy

75dad095769fe918eb39677f2c887e681a747f3a

[ "MIT" ]

null

#!/usr/bin/python from __future__ import (absolute_import, division, print_function) # Copyright 2019-2020 Fortinet, Inc. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with this program. If not, see <https://www.gnu.org/licenses/>. __metaclass__ = type ANSIBLE_METADATA = {'status': ['preview'], 'supported_by': 'community', 'metadata_version': '1.1'} DOCUMENTATION = ''' --- module: fortios_wireless_controller_wtp_profile short_description: Configure WTP profiles or FortiAP profiles that define radio settings for manageable FortiAP platforms in Fortinet's FortiOS and FortiGate. description: - This module is able to configure a FortiGate or FortiOS (FOS) device by allowing the user to set and modify wireless_controller feature and wtp_profile category. Examples include all parameters and values need to be adjusted to datasources before usage. Tested with FOS v6.0.0 version_added: "2.10" author: - Link Zheng (@chillancezen) - Jie Xue (@JieX19) - Hongbin Lu (@fgtdev-hblu) - Frank Shen (@frankshen01) - Miguel Angel Munoz (@mamunozgonzalez) - Nicolas Thomas (@thomnico) notes: - Legacy fortiosapi has been deprecated, httpapi is the preferred way to run playbooks requirements: - ansible>=2.9.0 options: access_token: description: - Token-based authentication. Generated from GUI of Fortigate. type: str required: false enable_log: description: - Enable/Disable logging for task. type: bool required: false default: false vdom: description: - Virtual domain, among those defined previously. A vdom is a virtual instance of the FortiGate that can be configured and used as a different unit. type: str default: root member_path: type: str description: - Member attribute path to operate on. - Delimited by a slash character if there are more than one attribute. - Parameter marked with member_path is legitimate for doing member operation. member_state: type: str description: - Add or delete a member under specified attribute path. - When member_state is specified, the state option is ignored. choices: - present - absent state: description: - Indicates whether to create or remove the object. type: str required: true choices: - present - absent wireless_controller_wtp_profile: description: - Configure WTP profiles or FortiAP profiles that define radio settings for manageable FortiAP platforms. default: null type: dict suboptions: allowaccess: description: - Control management access to the managed WTP, FortiAP, or AP. Separate entries with a space. type: list choices: - telnet - http - https - ssh - snmp ap_country: description: - Country in which this WTP, FortiAP or AP will operate . type: str choices: - NA - AL - DZ - AO - AR - AM - AU - AT - AZ - BH - BD - BB - BY - BE - BZ - BO - BA - BR - BN - BG - KH - CL - CN - CO - CR - HR - CY - CZ - DK - DO - EC - EG - SV - EE - FI - FR - GE - DE - GR - GL - GD - GU - GT - HT - HN - HK - HU - IS - IN - ID - IR - IE - IL - IT - JM - JO - KZ - KE - KP - KR - KW - LV - LB - LI - LT - LU - MO - MK - MY - MT - MX - MC - MA - MZ - MM - NP - NL - AN - AW - NZ - NO - OM - PK - PA - PG - PY - PE - PH - PL - PT - PR - QA - RO - RU - RW - SA - RS - ME - SG - SK - SI - ZA - ES - LK - SE - SD - CH - SY - TW - TZ - TH - TT - TN - TR - AE - UA - GB - US - PS - UY - UZ - VE - VN - YE - ZB - ZW - JP - CA - CF - BS - BF - KY - CX - GH - GY - CI - MW - MV - FM - KN - LC - VC - SN - TM - TC - UG - VU - AF - AS - BJ - BM - BT - BW - CM - TD - CG - CD - DM - ET - GF - PF - FO - FJ - GI - GP - IQ - IM - LA - LS - LY - MG - ML - MH - MQ - MR - MU - YT - MD - NI - NE - MP - PW - RE - BL - MF - PM - SL - SR - TG - VI - WF - ZM - -- ap_handoff: description: - Enable/disable AP handoff of clients to other APs . type: str choices: - enable - disable apcfg_profile: description: - AP local configuration profile name. Source wireless-controller.apcfg-profile.name. type: str ble_profile: description: - Bluetooth Low Energy profile name. Source wireless-controller.ble-profile.name. type: str comment: description: - Comment. type: str console_login: description: - Enable/disable FAP console login access . type: str choices: - enable - disable control_message_offload: description: - Enable/disable CAPWAP control message data channel offload. type: list choices: - ebp-frame - aeroscout-tag - ap-list - sta-list - sta-cap-list - stats - aeroscout-mu - sta-health - spectral-analysis deny_mac_list: description: - List of MAC addresses that are denied access to this WTP, FortiAP, or AP. type: list suboptions: id: description: - ID. required: true type: int mac: description: - A WiFi device with this MAC address is denied access to this WTP, FortiAP or AP. type: str dtls_in_kernel: description: - Enable/disable data channel DTLS in kernel. type: str choices: - enable - disable dtls_policy: description: - WTP data channel DTLS policy . type: list choices: - clear-text - dtls-enabled - ipsec-vpn energy_efficient_ethernet: description: - Enable/disable use of energy efficient Ethernet on WTP. type: str choices: - enable - disable esl_ses_dongle: description: - ESL SES-imagotag dongle configuration. type: dict suboptions: apc_addr_type: description: - ESL SES-imagotag APC address type . type: str choices: - fqdn - ip apc_fqdn: description: - FQDN of ESL SES-imagotag Access Point Controller (APC). type: str apc_ip: description: - IP address of ESL SES-imagotag Access Point Controller (APC). type: str apc_port: description: - Port of ESL SES-imagotag Access Point Controller (APC). type: int coex_level: description: - ESL SES-imagotag dongle coexistence level . type: str choices: - none compliance_level: description: - Compliance levels for the ESL solution integration . type: str choices: - compliance-level-2 esl_channel: description: - ESL SES-imagotag dongle channel . type: str choices: - -1 - 0 - 1 - 2 - 3 - 4 - 5 - 6 - 7 - 8 - 9 - 10 - 127 output_power: description: - ESL SES-imagotag dongle output power . type: str choices: - a - b - c - d - e - f - g - h scd_enable: description: - Enable/disable ESL SES-imagotag Serial Communication Daemon (SCD) . type: str choices: - enable - disable tls_cert_verification: description: - Enable/disable TLS Certificate verification. . type: str choices: - enable - disable tls_fqdn_verification: description: - Enable/disable TLS Certificate verification. . type: str choices: - enable - disable ext_info_enable: description: - Enable/disable station/VAP/radio extension information. type: str choices: - enable - disable frequency_handoff: description: - Enable/disable frequency handoff of clients to other channels . type: str choices: - enable - disable handoff_roaming: description: - Enable/disable client load balancing during roaming to avoid roaming delay . type: str choices: - enable - disable handoff_rssi: description: - Minimum received signal strength indicator (RSSI) value for handoff (20 - 30). type: int handoff_sta_thresh: description: - Threshold value for AP handoff. type: int indoor_outdoor_deployment: description: - Set to allow indoor/outdoor-only channels under regulatory rules . type: str choices: - platform-determined - outdoor - indoor ip_fragment_preventing: description: - Select how to prevent IP fragmentation for CAPWAP tunneled control and data packets . type: list choices: - tcp-mss-adjust - icmp-unreachable lan: description: - WTP LAN port mapping. type: dict suboptions: port_esl_mode: description: - ESL port mode. type: str choices: - offline - nat-to-wan - bridge-to-wan - bridge-to-ssid port_esl_ssid: description: - Bridge ESL port to SSID. Source system.interface.name. type: str port_mode: description: - LAN port mode. type: str choices: - offline - nat-to-wan - bridge-to-wan - bridge-to-ssid port_ssid: description: - Bridge LAN port to SSID. Source wireless-controller.vap.name. type: str port1_mode: description: - LAN port 1 mode. type: str choices: - offline - nat-to-wan - bridge-to-wan - bridge-to-ssid port1_ssid: description: - Bridge LAN port 1 to SSID. Source wireless-controller.vap.name. type: str port2_mode: description: - LAN port 2 mode. type: str choices: - offline - nat-to-wan - bridge-to-wan - bridge-to-ssid port2_ssid: description: - Bridge LAN port 2 to SSID. Source wireless-controller.vap.name. type: str port3_mode: description: - LAN port 3 mode. type: str choices: - offline - nat-to-wan - bridge-to-wan - bridge-to-ssid port3_ssid: description: - Bridge LAN port 3 to SSID. Source wireless-controller.vap.name. type: str port4_mode: description: - LAN port 4 mode. type: str choices: - offline - nat-to-wan - bridge-to-wan - bridge-to-ssid port4_ssid: description: - Bridge LAN port 4 to SSID. Source wireless-controller.vap.name. type: str port5_mode: description: - LAN port 5 mode. type: str choices: - offline - nat-to-wan - bridge-to-wan - bridge-to-ssid port5_ssid: description: - Bridge LAN port 5 to SSID. Source wireless-controller.vap.name. type: str port6_mode: description: - LAN port 6 mode. type: str choices: - offline - nat-to-wan - bridge-to-wan - bridge-to-ssid port6_ssid: description: - Bridge LAN port 6 to SSID. Source wireless-controller.vap.name. type: str port7_mode: description: - LAN port 7 mode. type: str choices: - offline - nat-to-wan - bridge-to-wan - bridge-to-ssid port7_ssid: description: - Bridge LAN port 7 to SSID. Source wireless-controller.vap.name. type: str port8_mode: description: - LAN port 8 mode. type: str choices: - offline - nat-to-wan - bridge-to-wan - bridge-to-ssid port8_ssid: description: - Bridge LAN port 8 to SSID. Source wireless-controller.vap.name. type: str lbs: description: - Set various location based service (LBS) options. type: dict suboptions: aeroscout: description: - Enable/disable AeroScout Real Time Location Service (RTLS) support . type: str choices: - enable - disable aeroscout_ap_mac: description: - Use BSSID or board MAC address as AP MAC address in AeroScout AP messages . type: str choices: - bssid - board-mac aeroscout_mmu_report: description: - Enable/disable compounded AeroScout tag and MU report . type: str choices: - enable - disable aeroscout_mu: description: - Enable/disable AeroScout Mobile Unit (MU) support . type: str choices: - enable - disable aeroscout_mu_factor: description: - AeroScout MU mode dilution factor . type: int aeroscout_mu_timeout: description: - AeroScout MU mode timeout (0 - 65535 sec). type: int aeroscout_server_ip: description: - IP address of AeroScout server. type: str aeroscout_server_port: description: - AeroScout server UDP listening port. type: int ekahau_blink_mode: description: - Enable/disable Ekahau blink mode (now known as AiRISTA Flow) to track and locate WiFi tags . type: str choices: - enable - disable ekahau_tag: description: - WiFi frame MAC address or WiFi Tag. type: str erc_server_ip: description: - IP address of Ekahau RTLS Controller (ERC). type: str erc_server_port: description: - Ekahau RTLS Controller (ERC) UDP listening port. type: int fortipresence: description: - Enable/disable FortiPresence to monitor the location and activity of WiFi clients even if they don"t connect to this WiFi network . type: str choices: - foreign - both - disable fortipresence_ble: description: - Enable/disable FortiPresence finding and reporting BLE devices. type: str choices: - enable - disable fortipresence_frequency: description: - FortiPresence report transmit frequency (5 - 65535 sec). type: int fortipresence_port: description: - FortiPresence server UDP listening port . type: int fortipresence_project: description: - FortiPresence project name (max. 16 characters). type: str fortipresence_rogue: description: - Enable/disable FortiPresence finding and reporting rogue APs. type: str choices: - enable - disable fortipresence_secret: description: - FortiPresence secret password (max. 16 characters). type: str fortipresence_server: description: - FortiPresence server IP address. type: str fortipresence_unassoc: description: - Enable/disable FortiPresence finding and reporting unassociated stations. type: str choices: - enable - disable station_locate: description: - Enable/disable client station locating services for all clients, whether associated or not . type: str choices: - enable - disable led_schedules: description: - Recurring firewall schedules for illuminating LEDs on the FortiAP. If led-state is enabled, LEDs will be visible when at least one of the schedules is valid. Separate multiple schedule names with a space. type: list suboptions: name: description: - LED schedule name. Source firewall.schedule.group.name firewall.schedule.recurring.name. required: true type: str led_state: description: - Enable/disable use of LEDs on WTP . type: str choices: - enable - disable lldp: description: - Enable/disable Link Layer Discovery Protocol (LLDP) for the WTP, FortiAP, or AP . type: str choices: - enable - disable login_passwd: description: - Set the managed WTP, FortiAP, or AP"s administrator password. type: str login_passwd_change: description: - Change or reset the administrator password of a managed WTP, FortiAP or AP (yes, default, or no). type: str choices: - yes - default - no max_clients: description: - Maximum number of stations (STAs) supported by the WTP . type: int name: description: - WTP (or FortiAP or AP) profile name. required: true type: str platform: description: - WTP, FortiAP, or AP platform. type: dict suboptions: ddscan: description: - Enable/disable use of one radio for dedicated dual-band scanning to detect RF characterization and wireless threat management. type: str choices: - enable - disable mode: description: - Configure operation mode of 5G radios . type: str choices: - single-5G - dual-5G type: description: - WTP, FortiAP or AP platform type. There are built-in WTP profiles for all supported FortiAP models. You can select a built-in profile and customize it or create a new profile. type: str choices: - AP-11N - 220B - 210B - 222B - 112B - 320B - 11C - 14C - 223B - 28C - 320C - 221C - 25D - 222C - 224D - 214B - 21D - 24D - 112D - 223C - 321C - C220C - C225C - C23JD - C24JE - S321C - S322C - S323C - S311C - S313C - S321CR - S322CR - S323CR - S421E - S422E - S423E - 421E - 423E - 221E - 222E - 223E - 224E - S221E - S223E - U421E - U422EV - U423E - U221EV - U223EV - U24JEV - U321EV - U323EV - 231E - 321E - 431F - 432F - 433F - 231F - 234F - 23JF - U431F - U433F - 831F - U231F - U234F - U432F poe_mode: description: - Set the WTP, FortiAP, or AP"s PoE mode. type: str choices: - auto - 8023af - 8023at - power-adapter - full - high - low radio_1: description: - Configuration options for radio 1. type: dict suboptions: airtime_fairness: description: - Enable/disable airtime fairness . type: str choices: - enable - disable amsdu: description: - Enable/disable 802.11n AMSDU support. AMSDU can improve performance if supported by your WiFi clients . type: str choices: - enable - disable ap_handoff: description: - Enable/disable AP handoff of clients to other APs . type: str choices: - enable - disable ap_sniffer_addr: description: - MAC address to monitor. type: str ap_sniffer_bufsize: description: - Sniffer buffer size (1 - 32 MB). type: int ap_sniffer_chan: description: - Channel on which to operate the sniffer . type: int ap_sniffer_ctl: description: - Enable/disable sniffer on WiFi control frame . type: str choices: - enable - disable ap_sniffer_data: description: - Enable/disable sniffer on WiFi data frame . type: str choices: - enable - disable ap_sniffer_mgmt_beacon: description: - Enable/disable sniffer on WiFi management Beacon frames . type: str choices: - enable - disable ap_sniffer_mgmt_other: description: - Enable/disable sniffer on WiFi management other frames . type: str choices: - enable - disable ap_sniffer_mgmt_probe: description: - Enable/disable sniffer on WiFi management probe frames . type: str choices: - enable - disable auto_power_high: description: - Automatic transmit power high limit in dBm (the actual range of transmit power depends on the AP platform type). type: int auto_power_level: description: - Enable/disable automatic power-level adjustment to prevent co-channel interference . type: str choices: - enable - disable auto_power_low: description: - Automatic transmission power low limit in dBm (the actual range of transmit power depends on the AP platform type). type: int auto_power_target: description: - The target of automatic transmit power adjustment in dBm. (-95 to -20). type: str band: description: - WiFi band that Radio 1 operates on. type: str choices: - 802.11a - 802.11b - 802.11g - 802.11n - 802.11n-5G - 802.11ac - 802.11n,g-only - 802.11g-only - 802.11n-only - 802.11n-5G-only - 802.11ac,n-only - 802.11ac-only - 802.11ax-5G - 802.11ax - 802.11ax,ac-only - 802.11ax,ac,n-only - 802.11ax-5G-only - 802.11ax,n-only - 802.11ax,n,g-only - 802.11ax-only - 802.11ac-2G band_5g_type: description: - WiFi 5G band type. type: str choices: - 5g-full - 5g-high - 5g-low bandwidth_admission_control: description: - Enable/disable WiFi multimedia (WMM) bandwidth admission control to optimize WiFi bandwidth use. A request to join the wireless network is only allowed if the access point has enough bandwidth to support it. type: str choices: - enable - disable bandwidth_capacity: description: - Maximum bandwidth capacity allowed (1 - 600000 Kbps). type: int beacon_interval: description: - Beacon interval. The time between beacon frames in msec (the actual range of beacon interval depends on the AP platform type). type: int bss_color: description: - BSS color value for this 11ax radio (0 - 63, 0 means disable. ). type: int call_admission_control: description: - Enable/disable WiFi multimedia (WMM) call admission control to optimize WiFi bandwidth use for VoIP calls. New VoIP calls are only accepted if there is enough bandwidth available to support them. type: str choices: - enable - disable call_capacity: description: - Maximum number of Voice over WLAN (VoWLAN) phones supported by the radio (0 - 60). type: int channel: description: - Selected list of wireless radio channels. type: list suboptions: chan: description: - Channel number. required: true type: str channel_bonding: description: - 'Channel bandwidth: 80, 40, or 20MHz. Channels may use both 20 and 40 by enabling coexistence.' type: str choices: - 80MHz - 40MHz - 20MHz - 160MHz channel_utilization: description: - Enable/disable measuring channel utilization. type: str choices: - enable - disable coexistence: description: - Enable/disable allowing both HT20 and HT40 on the same radio . type: str choices: - enable - disable darrp: description: - Enable/disable Distributed Automatic Radio Resource Provisioning (DARRP) to make sure the radio is always using the most optimal channel . type: str choices: - enable - disable drma: description: - Enable/disable dynamic radio mode assignment (DRMA) . type: str choices: - disable - enable drma_sensitivity: description: - Network Coverage Factor (NCF) percentage required to consider a radio as redundant . type: str choices: - low - medium - high dtim: description: - DTIM interval. The frequency to transmit Delivery Traffic Indication Message (or Map) (DTIM) messages (1 - 255). Set higher to save client battery life. type: int frag_threshold: description: - Maximum packet size that can be sent without fragmentation (800 - 2346 bytes). type: int frequency_handoff: description: - Enable/disable frequency handoff of clients to other channels . type: str choices: - enable - disable iperf_protocol: description: - Iperf test protocol . type: str choices: - udp - tcp iperf_server_port: description: - Iperf service port number. type: int max_clients: description: - Maximum number of stations (STAs) or WiFi clients supported by the radio. Range depends on the hardware. type: int max_distance: description: - Maximum expected distance between the AP and clients (0 - 54000 m). type: int mode: description: - Mode of radio 1. Radio 1 can be disabled, configured as an access point, a rogue AP monitor, or a sniffer. type: str choices: - disabled - ap - monitor - sniffer - sam power_level: description: - Radio power level as a percentage of the maximum transmit power (0 - 100). type: int power_mode: description: - Set radio effective isotropic radiated power (EIRP) in dBm or by a percentage of the maximum EIRP . This power takes into account both radio transmit power and antenna gain. Higher power level settings may be constrained by local regulatory requirements and AP capabilities. type: str choices: - dBm - percentage power_value: description: - Radio EIRP power in dBm (1 - 33). type: int powersave_optimize: description: - Enable client power-saving features such as TIM, AC VO, and OBSS etc. type: str choices: - tim - ac-vo - no-obss-scan - no-11b-rate - client-rate-follow protection_mode: description: - Enable/disable 802.11g protection modes to support backwards compatibility with older clients (rtscts, ctsonly, disable). type: str choices: - rtscts - ctsonly - disable radio_id: description: - radio-id type: int rts_threshold: description: - Maximum packet size for RTS transmissions, specifying the maximum size of a data packet before RTS/CTS (256 - 2346 bytes). type: int sam_bssid: description: - BSSID for WiFi network. type: str sam_captive_portal: description: - Enable/disable Captive Portal Authentication . type: str choices: - enable - disable sam_cwp_failure_string: description: - Failure identification on the page after an incorrect login. type: str sam_cwp_match_string: description: - Identification string from the captive portal login form. type: str sam_cwp_password: description: - Password for captive portal authentication. type: str sam_cwp_success_string: description: - Success identification on the page after a successful login. type: str sam_cwp_test_url: description: - Website the client is trying to access. type: str sam_cwp_username: description: - Username for captive portal authentication. type: str sam_password: description: - Passphrase for WiFi network connection. type: str sam_report_intv: description: - SAM report interval (sec), 0 for a one-time report. type: int sam_security_type: description: - Select WiFi network security type . type: str choices: - open - wpa-personal - wpa-enterprise sam_server: description: - SAM test server IP address or domain name. type: str sam_server_fqdn: description: - SAM test server domain name. type: str sam_server_ip: description: - SAM test server IP address. type: str sam_server_type: description: - Select SAM server type . type: str choices: - ip - fqdn sam_ssid: description: - SSID for WiFi network. type: str sam_test: description: - Select SAM test type . type: str choices: - ping - iperf sam_username: description: - Username for WiFi network connection. type: str short_guard_interval: description: - Use either the short guard interval (Short GI) of 400 ns or the long guard interval (Long GI) of 800 ns. type: str choices: - enable - disable spectrum_analysis: description: - Enable/disable spectrum analysis to find interference that would negatively impact wireless performance. type: str choices: - enable - disable - scan-only transmit_optimize: description: - Packet transmission optimization options including power saving, aggregation limiting, retry limiting, etc. All are enabled by default. type: str choices: - disable - power-save - aggr-limit - retry-limit - send-bar vap_all: description: - Enable/disable the automatic inheritance of all Virtual Access Points (VAPs) . type: str choices: - enable - disable - tunnel - bridge - manual vaps: description: - Manually selected list of Virtual Access Points (VAPs). type: list suboptions: name: description: - Virtual Access Point (VAP) name. Source wireless-controller.vap-group.name wireless-controller.vap.name. required: true type: str wids_profile: description: - Wireless Intrusion Detection System (WIDS) profile name to assign to the radio. Source wireless-controller.wids-profile.name. type: str zero_wait_dfs: description: - Enable/disable zero wait DFS on radio . type: str choices: - enable - disable radio_2: description: - Configuration options for radio 2. type: dict suboptions: airtime_fairness: description: - Enable/disable airtime fairness . type: str choices: - enable - disable amsdu: description: - Enable/disable 802.11n AMSDU support. AMSDU can improve performance if supported by your WiFi clients . type: str choices: - enable - disable ap_handoff: description: - Enable/disable AP handoff of clients to other APs . type: str choices: - enable - disable ap_sniffer_addr: description: - MAC address to monitor. type: str ap_sniffer_bufsize: description: - Sniffer buffer size (1 - 32 MB). type: int ap_sniffer_chan: description: - Channel on which to operate the sniffer . type: int ap_sniffer_ctl: description: - Enable/disable sniffer on WiFi control frame . type: str choices: - enable - disable ap_sniffer_data: description: - Enable/disable sniffer on WiFi data frame . type: str choices: - enable - disable ap_sniffer_mgmt_beacon: description: - Enable/disable sniffer on WiFi management Beacon frames . type: str choices: - enable - disable ap_sniffer_mgmt_other: description: - Enable/disable sniffer on WiFi management other frames . type: str choices: - enable - disable ap_sniffer_mgmt_probe: description: - Enable/disable sniffer on WiFi management probe frames . type: str choices: - enable - disable auto_power_high: description: - Automatic transmit power high limit in dBm (the actual range of transmit power depends on the AP platform type). type: int auto_power_level: description: - Enable/disable automatic power-level adjustment to prevent co-channel interference . type: str choices: - enable - disable auto_power_low: description: - Automatic transmission power low limit in dBm (the actual range of transmit power depends on the AP platform type). type: int auto_power_target: description: - The target of automatic transmit power adjustment in dBm. (-95 to -20). type: str band: description: - WiFi band that Radio 2 operates on. type: str choices: - 802.11a - 802.11b - 802.11g - 802.11n - 802.11n-5G - 802.11ac - 802.11n,g-only - 802.11g-only - 802.11n-only - 802.11n-5G-only - 802.11ac,n-only - 802.11ac-only - 802.11ax-5G - 802.11ax - 802.11ax,ac-only - 802.11ax,ac,n-only - 802.11ax-5G-only - 802.11ax,n-only - 802.11ax,n,g-only - 802.11ax-only - 802.11ac-2G band_5g_type: description: - WiFi 5G band type. type: str choices: - 5g-full - 5g-high - 5g-low bandwidth_admission_control: description: - Enable/disable WiFi multimedia (WMM) bandwidth admission control to optimize WiFi bandwidth use. A request to join the wireless network is only allowed if the access point has enough bandwidth to support it. type: str choices: - enable - disable bandwidth_capacity: description: - Maximum bandwidth capacity allowed (1 - 600000 Kbps). type: int beacon_interval: description: - Beacon interval. The time between beacon frames in msec (the actual range of beacon interval depends on the AP platform type). type: int bss_color: description: - BSS color value for this 11ax radio (0 - 63, 0 means disable. ). type: int call_admission_control: description: - Enable/disable WiFi multimedia (WMM) call admission control to optimize WiFi bandwidth use for VoIP calls. New VoIP calls are only accepted if there is enough bandwidth available to support them. type: str choices: - enable - disable call_capacity: description: - Maximum number of Voice over WLAN (VoWLAN) phones supported by the radio (0 - 60). type: int channel: description: - Selected list of wireless radio channels. type: list suboptions: chan: description: - Channel number. required: true type: str channel_bonding: description: - 'Channel bandwidth: 80, 40, or 20MHz. Channels may use both 20 and 40 by enabling coexistence.' type: str choices: - 80MHz - 40MHz - 20MHz - 160MHz channel_utilization: description: - Enable/disable measuring channel utilization. type: str choices: - enable - disable coexistence: description: - Enable/disable allowing both HT20 and HT40 on the same radio . type: str choices: - enable - disable darrp: description: - Enable/disable Distributed Automatic Radio Resource Provisioning (DARRP) to make sure the radio is always using the most optimal channel . type: str choices: - enable - disable drma: description: - Enable/disable dynamic radio mode assignment (DRMA) . type: str choices: - disable - enable drma_sensitivity: description: - Network Coverage Factor (NCF) percentage required to consider a radio as redundant . type: str choices: - low - medium - high dtim: description: - DTIM interval. The frequency to transmit Delivery Traffic Indication Message (or Map) (DTIM) messages (1 - 255). Set higher to save client battery life. type: int frag_threshold: description: - Maximum packet size that can be sent without fragmentation (800 - 2346 bytes). type: int frequency_handoff: description: - Enable/disable frequency handoff of clients to other channels . type: str choices: - enable - disable iperf_protocol: description: - Iperf test protocol . type: str choices: - udp - tcp iperf_server_port: description: - Iperf service port number. type: int max_clients: description: - Maximum number of stations (STAs) or WiFi clients supported by the radio. Range depends on the hardware. type: int max_distance: description: - Maximum expected distance between the AP and clients (0 - 54000 m). type: int mode: description: - Mode of radio 2. Radio 2 can be disabled, configured as an access point, a rogue AP monitor, or a sniffer. type: str choices: - disabled - ap - monitor - sniffer - sam power_level: description: - Radio power level as a percentage of the maximum transmit power (0 - 100). type: int power_mode: description: - Set radio effective isotropic radiated power (EIRP) in dBm or by a percentage of the maximum EIRP . This power takes into account both radio transmit power and antenna gain. Higher power level settings may be constrained by local regulatory requirements and AP capabilities. type: str choices: - dBm - percentage power_value: description: - Radio EIRP power in dBm (1 - 33). type: int powersave_optimize: description: - Enable client power-saving features such as TIM, AC VO, and OBSS etc. type: str choices: - tim - ac-vo - no-obss-scan - no-11b-rate - client-rate-follow protection_mode: description: - Enable/disable 802.11g protection modes to support backwards compatibility with older clients (rtscts, ctsonly, disable). type: str choices: - rtscts - ctsonly - disable radio_id: description: - radio-id type: int rts_threshold: description: - Maximum packet size for RTS transmissions, specifying the maximum size of a data packet before RTS/CTS (256 - 2346 bytes). type: int sam_bssid: description: - BSSID for WiFi network. type: str sam_captive_portal: description: - Enable/disable Captive Portal Authentication . type: str choices: - enable - disable sam_cwp_failure_string: description: - Failure identification on the page after an incorrect login. type: str sam_cwp_match_string: description: - Identification string from the captive portal login form. type: str sam_cwp_password: description: - Password for captive portal authentication. type: str sam_cwp_success_string: description: - Success identification on the page after a successful login. type: str sam_cwp_test_url: description: - Website the client is trying to access. type: str sam_cwp_username: description: - Username for captive portal authentication. type: str sam_password: description: - Passphrase for WiFi network connection. type: str sam_report_intv: description: - SAM report interval (sec), 0 for a one-time report. type: int sam_security_type: description: - Select WiFi network security type . type: str choices: - open - wpa-personal - wpa-enterprise sam_server: description: - SAM test server IP address or domain name. type: str sam_server_fqdn: description: - SAM test server domain name. type: str sam_server_ip: description: - SAM test server IP address. type: str sam_server_type: description: - Select SAM server type . type: str choices: - ip - fqdn sam_ssid: description: - SSID for WiFi network. type: str sam_test: description: - Select SAM test type . type: str choices: - ping - iperf sam_username: description: - Username for WiFi network connection. type: str short_guard_interval: description: - Use either the short guard interval (Short GI) of 400 ns or the long guard interval (Long GI) of 800 ns. type: str choices: - enable - disable spectrum_analysis: description: - Enable/disable spectrum analysis to find interference that would negatively impact wireless performance. type: str choices: - enable - disable - scan-only transmit_optimize: description: - Packet transmission optimization options including power saving, aggregation limiting, retry limiting, etc. All are enabled by default. type: str choices: - disable - power-save - aggr-limit - retry-limit - send-bar vap_all: description: - Enable/disable the automatic inheritance of all Virtual Access Points (VAPs) . type: str choices: - enable - disable - tunnel - bridge - manual vaps: description: - Manually selected list of Virtual Access Points (VAPs). type: list suboptions: name: description: - Virtual Access Point (VAP) name. Source wireless-controller.vap-group.name wireless-controller.vap.name. required: true type: str wids_profile: description: - Wireless Intrusion Detection System (WIDS) profile name to assign to the radio. Source wireless-controller.wids-profile.name. type: str zero_wait_dfs: description: - Enable/disable zero wait DFS on radio . type: str choices: - enable - disable radio_3: description: - Configuration options for radio 3. type: dict suboptions: airtime_fairness: description: - Enable/disable airtime fairness . type: str choices: - enable - disable amsdu: description: - Enable/disable 802.11n AMSDU support. AMSDU can improve performance if supported by your WiFi clients . type: str choices: - enable - disable ap_handoff: description: - Enable/disable AP handoff of clients to other APs . type: str choices: - enable - disable ap_sniffer_addr: description: - MAC address to monitor. type: str ap_sniffer_bufsize: description: - Sniffer buffer size (1 - 32 MB). type: int ap_sniffer_chan: description: - Channel on which to operate the sniffer . type: int ap_sniffer_ctl: description: - Enable/disable sniffer on WiFi control frame . type: str choices: - enable - disable ap_sniffer_data: description: - Enable/disable sniffer on WiFi data frame . type: str choices: - enable - disable ap_sniffer_mgmt_beacon: description: - Enable/disable sniffer on WiFi management Beacon frames . type: str choices: - enable - disable ap_sniffer_mgmt_other: description: - Enable/disable sniffer on WiFi management other frames . type: str choices: - enable - disable ap_sniffer_mgmt_probe: description: - Enable/disable sniffer on WiFi management probe frames . type: str choices: - enable - disable auto_power_high: description: - The upper bound of automatic transmit power adjustment in dBm (the actual range of transmit power depends on the AP platform type). type: int auto_power_level: description: - Enable/disable automatic power-level adjustment to prevent co-channel interference . type: str choices: - enable - disable auto_power_low: description: - The lower bound of automatic transmit power adjustment in dBm (the actual range of transmit power depends on the AP platform type). type: int auto_power_target: description: - The target of automatic transmit power adjustment in dBm. (-95 to -20). type: str band: description: - WiFi band that Radio 3 operates on. type: str choices: - 802.11a - 802.11b - 802.11g - 802.11n - 802.11n-5G - 802.11ac - 802.11ax-5G - 802.11ax - 802.11n,g-only - 802.11g-only - 802.11n-only - 802.11n-5G-only - 802.11ac,n-only - 802.11ac-only - 802.11ax,ac-only - 802.11ax,ac,n-only - 802.11ax-5G-only - 802.11ax,n-only - 802.11ax,n,g-only - 802.11ax-only - 802.11ac-2G band_5g_type: description: - WiFi 5G band type. type: str choices: - 5g-full - 5g-high - 5g-low bandwidth_admission_control: description: - Enable/disable WiFi multimedia (WMM) bandwidth admission control to optimize WiFi bandwidth use. A request to join the wireless network is only allowed if the access point has enough bandwidth to support it. type: str choices: - enable - disable bandwidth_capacity: description: - Maximum bandwidth capacity allowed (1 - 600000 Kbps). type: int beacon_interval: description: - Beacon interval. The time between beacon frames in msec (the actual range of beacon interval depends on the AP platform type). type: int bss_color: description: - BSS color value for this 11ax radio (0 - 63, 0 means disable. ). type: int call_admission_control: description: - Enable/disable WiFi multimedia (WMM) call admission control to optimize WiFi bandwidth use for VoIP calls. New VoIP calls are only accepted if there is enough bandwidth available to support them. type: str choices: - enable - disable call_capacity: description: - Maximum number of Voice over WLAN (VoWLAN) phones supported by the radio (0 - 60). type: int channel: description: - Selected list of wireless radio channels. type: list suboptions: chan: description: - Channel number. required: true type: str channel_bonding: description: - 'Channel bandwidth: 160,80, 40, or 20MHz. Channels may use both 20 and 40 by enabling coexistence.' type: str choices: - 160MHz - 80MHz - 40MHz - 20MHz channel_utilization: description: - Enable/disable measuring channel utilization. type: str choices: - enable - disable coexistence: description: - Enable/disable allowing both HT20 and HT40 on the same radio . type: str choices: - enable - disable darrp: description: - Enable/disable Distributed Automatic Radio Resource Provisioning (DARRP) to make sure the radio is always using the most optimal channel . type: str choices: - enable - disable drma: description: - Enable/disable dynamic radio mode assignment (DRMA) . type: str choices: - disable - enable drma_sensitivity: description: - Network Coverage Factor (NCF) percentage required to consider a radio as redundant . type: str choices: - low - medium - high dtim: description: - Delivery Traffic Indication Map (DTIM) period (1 - 255). Set higher to save battery life of WiFi client in power-save mode. type: int frag_threshold: description: - Maximum packet size that can be sent without fragmentation (800 - 2346 bytes). type: int frequency_handoff: description: - Enable/disable frequency handoff of clients to other channels . type: str choices: - enable - disable iperf_protocol: description: - Iperf test protocol . type: str choices: - udp - tcp iperf_server_port: description: - Iperf service port number. type: int max_clients: description: - Maximum number of stations (STAs) or WiFi clients supported by the radio. Range depends on the hardware. type: int max_distance: description: - Maximum expected distance between the AP and clients (0 - 54000 m). type: int mode: description: - Mode of radio 3. Radio 3 can be disabled, configured as an access point, a rogue AP monitor, or a sniffer. type: str choices: - disabled - ap - monitor - sniffer - sam power_level: description: - Radio power level as a percentage of the maximum transmit power (0 - 100). type: int power_mode: description: - Set radio effective isotropic radiated power (EIRP) in dBm or by a percentage of the maximum EIRP . This power takes into account both radio transmit power and antenna gain. Higher power level settings may be constrained by local regulatory requirements and AP capabilities. type: str choices: - dBm - percentage power_value: description: - Radio EIRP power in dBm (1 - 33). type: int powersave_optimize: description: - Enable client power-saving features such as TIM, AC VO, and OBSS etc. type: str choices: - tim - ac-vo - no-obss-scan - no-11b-rate - client-rate-follow protection_mode: description: - Enable/disable 802.11g protection modes to support backwards compatibility with older clients (rtscts, ctsonly, disable). type: str choices: - rtscts - ctsonly - disable radio_id: description: - radio-id type: int rts_threshold: description: - Maximum packet size for RTS transmissions, specifying the maximum size of a data packet before RTS/CTS (256 - 2346 bytes). type: int sam_bssid: description: - BSSID for WiFi network. type: str sam_captive_portal: description: - Enable/disable Captive Portal Authentication . type: str choices: - enable - disable sam_cwp_failure_string: description: - Failure identification on the page after an incorrect login. type: str sam_cwp_match_string: description: - Identification string from the captive portal login form. type: str sam_cwp_password: description: - Password for captive portal authentication. type: str sam_cwp_success_string: description: - Success identification on the page after a successful login. type: str sam_cwp_test_url: description: - Website the client is trying to access. type: str sam_cwp_username: description: - Username for captive portal authentication. type: str sam_password: description: - Passphrase for WiFi network connection. type: str sam_report_intv: description: - SAM report interval (sec), 0 for a one-time report. type: int sam_security_type: description: - Select WiFi network security type . type: str choices: - open - wpa-personal - wpa-enterprise sam_server: description: - SAM test server IP address or domain name. type: str sam_server_fqdn: description: - SAM test server domain name. type: str sam_server_ip: description: - SAM test server IP address. type: str sam_server_type: description: - Select SAM server type . type: str choices: - ip - fqdn sam_ssid: description: - SSID for WiFi network. type: str sam_test: description: - Select SAM test type . type: str choices: - ping - iperf sam_username: description: - Username for WiFi network connection. type: str short_guard_interval: description: - Use either the short guard interval (Short GI) of 400 ns or the long guard interval (Long GI) of 800 ns. type: str choices: - enable - disable spectrum_analysis: description: - Enable/disable spectrum analysis to find interference that would negatively impact wireless performance. type: str choices: - enable - disable - scan-only transmit_optimize: description: - Packet transmission optimization options including power saving, aggregation limiting, retry limiting, etc. All are enabled by default. type: str choices: - disable - power-save - aggr-limit - retry-limit - send-bar vap_all: description: - Enable/disable the automatic inheritance of all Virtual Access Points (VAPs) . type: str choices: - enable - disable - tunnel - bridge - manual vaps: description: - Manually selected list of Virtual Access Points (VAPs). type: list suboptions: name: description: - Virtual Access Point (VAP) name. Source wireless-controller.vap-group.name system.interface.name. required: true type: str wids_profile: description: - Wireless Intrusion Detection System (WIDS) profile name to assign to the radio. Source wireless-controller.wids-profile.name. type: str zero_wait_dfs: description: - Enable/disable zero wait DFS on radio . type: str choices: - enable - disable radio_4: description: - Configuration options for radio 4. type: dict suboptions: airtime_fairness: description: - Enable/disable airtime fairness . type: str choices: - enable - disable amsdu: description: - Enable/disable 802.11n AMSDU support. AMSDU can improve performance if supported by your WiFi clients . type: str choices: - enable - disable ap_handoff: description: - Enable/disable AP handoff of clients to other APs . type: str choices: - enable - disable ap_sniffer_addr: description: - MAC address to monitor. type: str ap_sniffer_bufsize: description: - Sniffer buffer size (1 - 32 MB). type: int ap_sniffer_chan: description: - Channel on which to operate the sniffer . type: int ap_sniffer_ctl: description: - Enable/disable sniffer on WiFi control frame . type: str choices: - enable - disable ap_sniffer_data: description: - Enable/disable sniffer on WiFi data frame . type: str choices: - enable - disable ap_sniffer_mgmt_beacon: description: - Enable/disable sniffer on WiFi management Beacon frames . type: str choices: - enable - disable ap_sniffer_mgmt_other: description: - Enable/disable sniffer on WiFi management other frames . type: str choices: - enable - disable ap_sniffer_mgmt_probe: description: - Enable/disable sniffer on WiFi management probe frames . type: str choices: - enable - disable auto_power_high: description: - The upper bound of automatic transmit power adjustment in dBm (the actual range of transmit power depends on the AP platform type). type: int auto_power_level: description: - Enable/disable automatic power-level adjustment to prevent co-channel interference . type: str choices: - enable - disable auto_power_low: description: - The lower bound of automatic transmit power adjustment in dBm (the actual range of transmit power depends on the AP platform type). type: int auto_power_target: description: - The target of automatic transmit power adjustment in dBm. (-95 to -20). type: str band: description: - WiFi band that Radio 3 operates on. type: str choices: - 802.11a - 802.11b - 802.11g - 802.11n - 802.11n-5G - 802.11ac - 802.11ax-5G - 802.11ax - 802.11n,g-only - 802.11g-only - 802.11n-only - 802.11n-5G-only - 802.11ac,n-only - 802.11ac-only - 802.11ax,ac-only - 802.11ax,ac,n-only - 802.11ax-5G-only - 802.11ax,n-only - 802.11ax,n,g-only - 802.11ax-only - 802.11ac-2G band_5g_type: description: - WiFi 5G band type. type: str choices: - 5g-full - 5g-high - 5g-low bandwidth_admission_control: description: - Enable/disable WiFi multimedia (WMM) bandwidth admission control to optimize WiFi bandwidth use. A request to join the wireless network is only allowed if the access point has enough bandwidth to support it. type: str choices: - enable - disable bandwidth_capacity: description: - Maximum bandwidth capacity allowed (1 - 600000 Kbps). type: int beacon_interval: description: - Beacon interval. The time between beacon frames in msec (the actual range of beacon interval depends on the AP platform type). type: int bss_color: description: - BSS color value for this 11ax radio (0 - 63, 0 means disable. ). type: int call_admission_control: description: - Enable/disable WiFi multimedia (WMM) call admission control to optimize WiFi bandwidth use for VoIP calls. New VoIP calls are only accepted if there is enough bandwidth available to support them. type: str choices: - enable - disable call_capacity: description: - Maximum number of Voice over WLAN (VoWLAN) phones supported by the radio (0 - 60). type: int channel: description: - Selected list of wireless radio channels. type: list suboptions: chan: description: - Channel number. required: true type: str channel_bonding: description: - 'Channel bandwidth: 160,80, 40, or 20MHz. Channels may use both 20 and 40 by enabling coexistence.' type: str choices: - 160MHz - 80MHz - 40MHz - 20MHz channel_utilization: description: - Enable/disable measuring channel utilization. type: str choices: - enable - disable coexistence: description: - Enable/disable allowing both HT20 and HT40 on the same radio . type: str choices: - enable - disable darrp: description: - Enable/disable Distributed Automatic Radio Resource Provisioning (DARRP) to make sure the radio is always using the most optimal channel . type: str choices: - enable - disable drma: description: - Enable/disable dynamic radio mode assignment (DRMA) . type: str choices: - disable - enable drma_sensitivity: description: - Network Coverage Factor (NCF) percentage required to consider a radio as redundant . type: str choices: - low - medium - high dtim: description: - Delivery Traffic Indication Map (DTIM) period (1 - 255). Set higher to save battery life of WiFi client in power-save mode. type: int frag_threshold: description: - Maximum packet size that can be sent without fragmentation (800 - 2346 bytes). type: int frequency_handoff: description: - Enable/disable frequency handoff of clients to other channels . type: str choices: - enable - disable iperf_protocol: description: - Iperf test protocol . type: str choices: - udp - tcp iperf_server_port: description: - Iperf service port number. type: int max_clients: description: - Maximum number of stations (STAs) or WiFi clients supported by the radio. Range depends on the hardware. type: int max_distance: description: - Maximum expected distance between the AP and clients (0 - 54000 m). type: int mode: description: - Mode of radio 3. Radio 3 can be disabled, configured as an access point, a rogue AP monitor, or a sniffer. type: str choices: - disabled - ap - monitor - sniffer - sam power_level: description: - Radio power level as a percentage of the maximum transmit power (0 - 100). type: int power_mode: description: - Set radio effective isotropic radiated power (EIRP) in dBm or by a percentage of the maximum EIRP . This power takes into account both radio transmit power and antenna gain. Higher power level settings may be constrained by local regulatory requirements and AP capabilities. type: str choices: - dBm - percentage power_value: description: - Radio EIRP power in dBm (1 - 33). type: int powersave_optimize: description: - Enable client power-saving features such as TIM, AC VO, and OBSS etc. type: str choices: - tim - ac-vo - no-obss-scan - no-11b-rate - client-rate-follow protection_mode: description: - Enable/disable 802.11g protection modes to support backwards compatibility with older clients (rtscts, ctsonly, disable). type: str choices: - rtscts - ctsonly - disable rts_threshold: description: - Maximum packet size for RTS transmissions, specifying the maximum size of a data packet before RTS/CTS (256 - 2346 bytes). type: int sam_bssid: description: - BSSID for WiFi network. type: str sam_captive_portal: description: - Enable/disable Captive Portal Authentication . type: str choices: - enable - disable sam_cwp_failure_string: description: - Failure identification on the page after an incorrect login. type: str sam_cwp_match_string: description: - Identification string from the captive portal login form. type: str sam_cwp_password: description: - Password for captive portal authentication. type: str sam_cwp_success_string: description: - Success identification on the page after a successful login. type: str sam_cwp_test_url: description: - Website the client is trying to access. type: str sam_cwp_username: description: - Username for captive portal authentication. type: str sam_password: description: - Passphrase for WiFi network connection. type: str sam_report_intv: description: - SAM report interval (sec), 0 for a one-time report. type: int sam_security_type: description: - Select WiFi network security type . type: str choices: - open - wpa-personal - wpa-enterprise sam_server: description: - SAM test server IP address or domain name. type: str sam_server_fqdn: description: - SAM test server domain name. type: str sam_server_ip: description: - SAM test server IP address. type: str sam_server_type: description: - Select SAM server type . type: str choices: - ip - fqdn sam_ssid: description: - SSID for WiFi network. type: str sam_test: description: - Select SAM test type . type: str choices: - ping - iperf sam_username: description: - Username for WiFi network connection. type: str short_guard_interval: description: - Use either the short guard interval (Short GI) of 400 ns or the long guard interval (Long GI) of 800 ns. type: str choices: - enable - disable spectrum_analysis: description: - Enable/disable spectrum analysis to find interference that would negatively impact wireless performance. type: str choices: - enable - disable - scan-only transmit_optimize: description: - Packet transmission optimization options including power saving, aggregation limiting, retry limiting, etc. All are enabled by default. type: str choices: - disable - power-save - aggr-limit - retry-limit - send-bar vap_all: description: - Enable/disable the automatic inheritance of all Virtual Access Points (VAPs) . type: str choices: - enable - disable - tunnel - bridge - manual vaps: description: - Manually selected list of Virtual Access Points (VAPs). type: list suboptions: name: description: - Virtual Access Point (VAP) name. Source wireless-controller.vap-group.name system.interface.name. required: true type: str wids_profile: description: - Wireless Intrusion Detection System (WIDS) profile name to assign to the radio. Source wireless-controller.wids-profile.name. type: str zero_wait_dfs: description: - Enable/disable zero wait DFS on radio . type: str choices: - enable - disable split_tunneling_acl: description: - Split tunneling ACL filter list. type: list suboptions: dest_ip: description: - Destination IP and mask for the split-tunneling subnet. type: str id: description: - ID. required: true type: int split_tunneling_acl_local_ap_subnet: description: - Enable/disable automatically adding local subnetwork of FortiAP to split-tunneling ACL . type: str choices: - enable - disable split_tunneling_acl_path: description: - Split tunneling ACL path is local/tunnel. type: str choices: - tunnel - local tun_mtu_downlink: description: - Downlink CAPWAP tunnel MTU (0, 576, or 1500 bytes). type: int tun_mtu_uplink: description: - Uplink CAPWAP tunnel MTU (0, 576, or 1500 bytes). type: int wan_port_mode: description: - Enable/disable using a WAN port as a LAN port. type: str choices: - wan-lan - wan-only ''' EXAMPLES = ''' - collections: - fortinet.fortios connection: httpapi hosts: fortigate01 vars: ansible_httpapi_port: 443 ansible_httpapi_use_ssl: true ansible_httpapi_validate_certs: false vdom: root tasks: - name: fortios_wireless_controller_wtp_profile fortios_wireless_controller_wtp_profile: vdom: root state: present wireless_controller_wtp_profile: ap_country: NA ap_handoff: disable control_message_offload: ebp-frame dtls_in_kernel: disable dtls_policy: clear-text energy_efficient_ethernet: disable ext_info_enable: enable frequency_handoff: disable handoff_roaming: enable handoff_rssi: 25 handoff_sta_thresh: 55 ip_fragment_preventing: tcp-mss-adjust led_state: enable lldp: enable login_passwd_change: 'no' max_clients: 0 name: terr-test-rdmstr poe_mode: auto split_tunneling_acl_local_ap_subnet: disable split_tunneling_acl_path: local tun_mtu_downlink: 576 tun_mtu_uplink: 576 wan_port_mode: wan-only ''' RETURN = ''' build: description: Build number of the fortigate image returned: always type: str sample: '1547' http_method: description: Last method used to provision the content into FortiGate returned: always type: str sample: 'PUT' http_status: description: Last result given by FortiGate on last operation applied returned: always type: str sample: "200" mkey: description: Master key (id) used in the last call to FortiGate returned: success type: str sample: "id" name: description: Name of the table used to fulfill the request returned: always type: str sample: "urlfilter" path: description: Path of the table used to fulfill the request returned: always type: str sample: "webfilter" revision: description: Internal revision number returned: always type: str sample: "17.0.2.10658" serial: description: Serial number of the unit returned: always type: str sample: "FGVMEVYYQT3AB5352" status: description: Indication of the operation's result returned: always type: str sample: "success" vdom: description: Virtual domain used returned: always type: str sample: "root" version: description: Version of the FortiGate returned: always type: str sample: "v5.6.3" ''' from ansible.module_utils.basic import AnsibleModule from ansible.module_utils.connection import Connection from ansible_collections.fortinet.fortios.plugins.module_utils.fortios.fortios import FortiOSHandler from ansible_collections.fortinet.fortios.plugins.module_utils.fortios.fortios import check_legacy_fortiosapi from ansible_collections.fortinet.fortios.plugins.module_utils.fortios.fortios import schema_to_module_spec from ansible_collections.fortinet.fortios.plugins.module_utils.fortios.fortios import check_schema_versioning from ansible_collections.fortinet.fortios.plugins.module_utils.fortimanager.common import FAIL_SOCKET_MSG from ansible_collections.fortinet.fortios.plugins.module_utils.fortios.comparison import is_same_comparison from ansible_collections.fortinet.fortios.plugins.module_utils.fortios.comparison import serialize def filter_wireless_controller_wtp_profile_data(json): option_list = ['allowaccess', 'ap_country', 'ap_handoff', 'apcfg_profile', 'ble_profile', 'comment', 'console_login', 'control_message_offload', 'deny_mac_list', 'dtls_in_kernel', 'dtls_policy', 'energy_efficient_ethernet', 'esl_ses_dongle', 'ext_info_enable', 'frequency_handoff', 'handoff_roaming', 'handoff_rssi', 'handoff_sta_thresh', 'indoor_outdoor_deployment', 'ip_fragment_preventing', 'lan', 'lbs', 'led_schedules', 'led_state', 'lldp', 'login_passwd', 'login_passwd_change', 'max_clients', 'name', 'platform', 'poe_mode', 'radio_1', 'radio_2', 'radio_3', 'radio_4', 'split_tunneling_acl', 'split_tunneling_acl_local_ap_subnet', 'split_tunneling_acl_path', 'tun_mtu_downlink', 'tun_mtu_uplink', 'wan_port_mode'] dictionary = {} for attribute in option_list: if attribute in json and json[attribute] is not None: dictionary[attribute] = json[attribute] return dictionary def flatten_single_path(data, path, index): if not data or index == len(path) or path[index] not in data or not data[path[index]]: return if index == len(path) - 1: data[path[index]] = ' '.join(str(elem) for elem in data[path[index]]) elif isinstance(data[path[index]], list): for value in data[path[index]]: flatten_single_path(value, path, index + 1) else: flatten_single_path(data[path[index]], path, index + 1) def flatten_multilists_attributes(data): multilist_attrs = [ [u'control_message_offload'], [u'ip_fragment_preventing'], [u'radio_3', u'transmit_optimize'], [u'radio_3', u'powersave_optimize'], [u'radio_2', u'transmit_optimize'], [u'radio_2', u'powersave_optimize'], [u'radio_1', u'transmit_optimize'], [u'radio_1', u'powersave_optimize'], [u'allowaccess'], [u'dtls_policy'], [u'radio_4', u'transmit_optimize'], [u'radio_4', u'powersave_optimize'], ] for attr in multilist_attrs: flatten_single_path(data, attr, 0) return data def underscore_to_hyphen(data): if isinstance(data, list): for i, elem in enumerate(data): data[i] = underscore_to_hyphen(elem) elif isinstance(data, dict): new_data = {} for k, v in data.items(): new_data[k.replace('_', '-')] = underscore_to_hyphen(v) data = new_data return data def wireless_controller_wtp_profile(data, fos, check_mode=False): vdom = data['vdom'] state = data['state'] wireless_controller_wtp_profile_data = data['wireless_controller_wtp_profile'] wireless_controller_wtp_profile_data = flatten_multilists_attributes(wireless_controller_wtp_profile_data) filtered_data = underscore_to_hyphen(filter_wireless_controller_wtp_profile_data(wireless_controller_wtp_profile_data)) # check_mode starts from here if check_mode: mkey = fos.get_mkey('wireless_controller', 'wtp_profile', filtered_data, vdom=vdom) current_data = fos.get('wireless_controller', 'wtp_profile', vdom=vdom, mkey=mkey) is_existed = current_data and current_data.get('http_status') == 200 \ and isinstance(current_data.get('results'), list) \ and len(current_data['results']) > 0 # 2. if it exists and the state is 'present' then compare current settings with desired if state == 'present' or state is True: if mkey is None: return False, True, filtered_data # if mkey exists then compare each other # record exits and they're matched or not if is_existed: is_same = is_same_comparison( serialize(current_data['results'][0]), serialize(filtered_data)) return False, not is_same, filtered_data # record does not exist return False, True, filtered_data if state == 'absent': if mkey is None: return False, False, filtered_data if is_existed: return False, True, filtered_data return False, False, filtered_data return True, False, {'reason: ': 'Must provide state parameter'} if state == "present" or state is True: return fos.set('wireless-controller', 'wtp-profile', data=filtered_data, vdom=vdom) elif state == "absent": return fos.delete('wireless-controller', 'wtp-profile', mkey=filtered_data['name'], vdom=vdom) else: fos._module.fail_json(msg='state must be present or absent!') def is_successful_status(resp): return 'status' in resp and resp['status'] == 'success' or \ 'http_status' in resp and resp['http_status'] == 200 or \ 'http_method' in resp and resp['http_method'] == "DELETE" and resp['http_status'] == 404 def fortios_wireless_controller(data, fos, check_mode): fos.do_member_operation('wireless_controller_wtp_profile') if data['wireless_controller_wtp_profile']: resp = wireless_controller_wtp_profile(data, fos, check_mode) else: fos._module.fail_json(msg='missing task body: %s' % ('wireless_controller_wtp_profile')) if check_mode: return resp return not is_successful_status(resp), \ is_successful_status(resp) and \ (resp['revision_changed'] if 'revision_changed' in resp else True), \ resp versioned_schema = { "type": "list", "children": { "comment": { "type": "string", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, "split_tunneling_acl": { "type": "list", "children": { "id": { "type": "integer", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, "dest_ip": { "type": "string", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } } }, "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, "lbs": { "type": "dict", "children": { "fortipresence_port": { "type": "integer", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, "erc_server_port": { "type": "integer", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, "aeroscout": { "type": "string", "options": [ { "value": "enable", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, { "value": "disable", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } } ], "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, "fortipresence_frequency": { "type": "integer", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, "fortipresence_ble": { "type": "string", "options": [ { "value": "enable", "revisions": { "v7.0.1": True, "v7.0.0": True, "v6.4.4": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True } }, { "value": "disable", "revisions": { "v7.0.1": True, "v7.0.0": True, "v6.4.4": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True } } ], "revisions": { "v7.0.1": True, "v7.0.0": True, "v6.4.4": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True } }, "fortipresence_project": { "type": "string", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, "aeroscout_ap_mac": { "type": "string", "options": [ { "value": "bssid", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, { "value": "board-mac", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } } ], "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, "aeroscout_mmu_report": { "type": "string", "options": [ { "value": "enable", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, { "value": "disable", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } } ], "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, "fortipresence": { "type": "string", "options": [ { "value": "foreign", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, { "value": "both", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, { "value": "disable", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } } ], "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, "ekahau_tag": { "type": "string", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, "fortipresence_unassoc": { "type": "string", "options": [ { "value": "enable", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, { "value": "disable", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } } ], "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, "erc_server_ip": { "type": "string", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, "aeroscout_mu_factor": { "type": "integer", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, "fortipresence_server": { "type": "string", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, "station_locate": { "type": "string", "options": [ { "value": "enable", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, { "value": "disable", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } } ], "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, "aeroscout_mu": { "type": "string", "options": [ { "value": "enable", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, { "value": "disable", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } } ], "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, "aeroscout_mu_timeout": { "type": "integer", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, "aeroscout_server_ip": { "type": "string", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, "fortipresence_secret": { "type": "string", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, "aeroscout_server_port": { "type": "integer", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, "fortipresence_rogue": { "type": "string", "options": [ { "value": "enable", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": 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True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, "indoor_outdoor_deployment": { "type": "string", "options": [ { "value": "platform-determined", "revisions": { "v7.0.1": True } }, { "value": "outdoor", "revisions": { "v7.0.1": True } }, { "value": "indoor", "revisions": { "v7.0.1": True } } ], "revisions": { "v7.0.1": True } } }, "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } } def main(): module_spec = schema_to_module_spec(versioned_schema) mkeyname = 'name' fields = { "access_token": {"required": False, "type": "str", "no_log": True}, "enable_log": {"required": False, "type": bool}, "vdom": {"required": False, "type": "str", "default": "root"}, "member_path": {"required": False, "type": "str"}, "member_state": { "type": "str", "required": False, "choices": ["present", "absent"] }, "state": {"required": True, "type": "str", "choices": ["present", "absent"]}, "wireless_controller_wtp_profile": { "required": False, "type": "dict", "default": None, "options": { } } } for attribute_name in module_spec['options']: fields["wireless_controller_wtp_profile"]['options'][attribute_name] = module_spec['options'][attribute_name] if mkeyname and mkeyname == attribute_name: fields["wireless_controller_wtp_profile"]['options'][attribute_name]['required'] = True check_legacy_fortiosapi() module = AnsibleModule(argument_spec=fields, supports_check_mode=True) versions_check_result = None if module._socket_path: connection = Connection(module._socket_path) if 'access_token' in module.params: connection.set_option('access_token', module.params['access_token']) if 'enable_log' in module.params: connection.set_option('enable_log', module.params['enable_log']) else: connection.set_option('enable_log', False) fos = FortiOSHandler(connection, module, mkeyname) versions_check_result = check_schema_versioning(fos, versioned_schema, "wireless_controller_wtp_profile") is_error, has_changed, result = fortios_wireless_controller(module.params, fos, module.check_mode) else: module.fail_json(**FAIL_SOCKET_MSG) if versions_check_result and versions_check_result['matched'] is False: module.warn("Ansible has detected version mismatch between FortOS system and your playbook, see more details by specifying option -vvv") if not is_error: if versions_check_result and versions_check_result['matched'] is False: module.exit_json(changed=has_changed, version_check_warning=versions_check_result, meta=result) else: module.exit_json(changed=has_changed, meta=result) else: if versions_check_result and versions_check_result['matched'] is False: module.fail_json(msg="Error in repo", version_check_warning=versions_check_result, meta=result) else: module.fail_json(msg="Error in repo", meta=result) if __name__ == '__main__': main()

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0.020442

0.264621

0.145446

0.058763

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0.889193

0.883081

0.879727

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0

0.133999

0.680966

777,868

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159

39.185331

0.51607

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0.276358

0.004841

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1

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false

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0.000506

0.000051

0.001719

0.000051

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null

1

0

1

0

1

0

1

0

null

0

9

d0a720f3631a531060eeed8152480eccad538e8d

1,397

py

Python

game/consumeableRoom.py

kim-tran/text-based-atk

eb33a39f1fcb70729d9c3a5a147923c5c95a1fe8

[ "MIT" ]

null

game/consumeableRoom.py

kim-tran/text-based-atk

eb33a39f1fcb70729d9c3a5a147923c5c95a1fe8

[ "MIT" ]

null

game/consumeableRoom.py

kim-tran/text-based-atk

eb33a39f1fcb70729d9c3a5a147923c5c95a1fe8

[ "MIT" ]

null

import consumable from tiles import LootRoom class FindCookieRoom(LootRoom): def __init__(self, x, y): super().__init__(x, y, items.Cookie()) def intro_text(self): return """ You notice something shiny in the corner. It/'s a {}! You pick it up. """.format(self.name) class FindBreadRoom(LootRoom): def __init__(self, x, y): super().__init__(x, y, items.Bread()) def intro_text(self): return """ You notice something shiny in the corner. It/'s {}! You pick it up. """.format(self.name) class FindWMYogurtRoom(LootRoom): def __init__(self, x, y): super().__init__(x, y, items.WMYogurt()) def intro_text(self): return """ You notice something shiny in the corner. It/'s {}! You pick it up. """.format(self.name) class FindFFYogurtRoom(LootRoom): def __init__(self, x, y): super().__init__(x, y, items.FFYogurt()) def intro_text(self): return """ You notice something shiny in the corner. It/'s {}! You pick it up. """.format(self.name) class FindJellyRoom(LootRoom): def __init__(self, x, y): super().__init__(x, y, items.Jelly()) def intro_text(self): return """ You notice something shiny in the corner. It/'s {}! You pick it up. """.format(self.name)

28.510204

49

0.586256

182

1,397

4.252747

0.21978

0.02584

0.096899

0.122739

0.807494

0.768734

0

0.277738

1,397

48

50

29.104167

0.767096

0

0.690476

0

0.334288

0

1

0.238095

false

0

0.047619

0.119048

0.52381

0

null

0

1

0

null

0

1

0

1

0

8

ef75b9fb6b7f94a2cd882e0fe902dc01131e84c9

156

py

Python

001.py

tangcg/githelper

1686129ba60ebaede4cac90ac8f3a94e2ad10fa2

[ "Apache-2.0" ]

null

001.py

tangcg/githelper

1686129ba60ebaede4cac90ac8f3a94e2ad10fa2

[ "Apache-2.0" ]

1

2019-10-22T09:13:24.000Z

2019-10-22T09:21:31.000Z

001.py

tangcg/githelper

1686129ba60ebaede4cac90ac8f3a94e2ad10fa2

[ "Apache-2.0" ]

1

2019-10-22T08:54:31.000Z

print('this repo is belong to nbnitboy') print('this line is added by tangcg !') print('删除原始仓库，添加forked仓库后，提交代码 !') print('this line is added by tangcg')

22.285714

40

0.724359

25

156

4.52

0.56

0.238938

0.230089

0.265487

0.495575

0

0.147436

156

6

41

26

0.849624

0

0.730769

0.147436

0

1

0

true

0

1

0

null

1

0

1

0

1

0

null

0

1

0

1

0

8

ef95051a184b53b9e70e65905bb6fea609ab7062

26,161

py

Python

selectinf/randomized/sandbox/convenience.py

TianXie1999/selective-inference

ca02bbd84af5f5597944c75bde8337db9c69066a

[ "BSD-3-Clause" ]

51

2016-03-31T16:34:15.000Z

2022-01-16T04:32:58.000Z

selectinf/randomized/sandbox/convenience.py

TianXie1999/selective-inference

ca02bbd84af5f5597944c75bde8337db9c69066a

[ "BSD-3-Clause" ]

11

2016-04-07T00:19:58.000Z

2021-10-03T18:31:14.000Z

selectinf/randomized/sandbox/convenience.py

TianXie1999/selective-inference

ca02bbd84af5f5597944c75bde8337db9c69066a

[ "BSD-3-Clause" ]

14

2015-10-28T17:29:05.000Z

2021-08-16T21:04:30.000Z

""" Classes encapsulating some common workflows in randomized setting """ from copy import copy import numpy as np import regreg.api as rr from .glm import (glm_greedy_step, glm_threshold_score, pairs_bootstrap_glm) from .randomization import randomization from .query import multiple_queries from .lasso import lasso class step(lasso): r""" A class for maximizing some coordinates of the randomized score of a GLM. The problem we are solving is .. math:: \text{minimize}_{\eta} (\nabla \ell(\bar{\beta}_E) - \omega)^T\eta subject to $\|\eta_g\|_2/w_g \leq 1$ where $w_g$ are group weights. The set of variables $E$ are variables we have partially maximized over and $\bar{\beta}_E$ should be viewed as padded out with zeros over all variables in $E^c$. """ def __init__(self, loglike, feature_weights, candidate, randomizer_scale, active=None, randomizer='gaussian', parametric_cov_estimator=False): r""" Create a new post-selection for the stepwise problem Parameters ---------- loglike : `regreg.smooth.glm.glm` A (negative) log-likelihood as implemented in `regreg`. feature_weights : np.ndarray Feature weights for L-1 penalty. If a float, it is brodcast to all features. candidate : np.bool Which groups of variables are candidates for inclusion in this step. randomizer_scale : float Scale for IID components of randomization. active : np.bool (optional) Which groups of variables make up $E$, the set of variables we partially minimize over. randomizer : str (optional) One of ['laplace', 'logistic', 'gaussian'] """ self.active = active self.candidate = candidate self.loglike = loglike self.nfeature = p = loglike.shape[0] if np.asarray(feature_weights).shape == (): feature_weights = np.ones(loglike.shape) * feature_weights self.feature_weights = np.asarray(feature_weights) self.parametric_cov_estimator = parametric_cov_estimator nrandom = candidate.sum() if randomizer == 'laplace': self.randomizer = randomization.laplace((nrandom,), scale=randomizer_scale) elif randomizer == 'gaussian': self.randomizer = randomization.isotropic_gaussian((nrandom,),randomizer_scale) elif randomizer == 'logistic': self.randomizer = randomization.logistic((nrandom,), scale=randomizer_scale) self.penalty = rr.group_lasso(np.arange(p), weights=dict(zip(np.arange(p), self.feature_weights)), lagrange=1.) def fit(self, views=[]): """ Find the maximizing group. Parameters ---------- solve_args : keyword args Passed to `regreg.problems.simple_problem.solve`. views : list Other views of the data, e.g. cross-validation. Returns ------- sign_beta : np.float Support and non-zero signs of randomized lasso solution. """ p = self.nfeature self._view = glm_greedy_step(self.loglike, self.penalty, self.active, self.candidate, self.randomizer) self._view.solve() views = copy(views); views.append(self._view) self._queries = multiple_queries(views) self._queries.solve() self.maximizing_group = self._view.selection_variable['maximizing_group'] return self.maximizing_group def decompose_subgradient(self, conditioning_groups=None, marginalizing_groups=None): """ Marginalize over some if candidate part of subgradient if applicable. Parameters ---------- conditioning_groups : np.bool Which groups' subgradients should we condition on. marginalizing_groups : np.bool Which groups' subgradients should we marginalize over. Returns ------- None """ raise NotImplementedError @staticmethod def gaussian(X, Y, feature_weights, candidate=None, active=None, randomizer_scale=None, parametric_cov_estimator=False, randomizer='gaussian'): r""" Take a step with a Gaussian loglikelihood. Parameters ---------- X : ndarray Shape (n,p) -- the design matrix. Y : ndarray Shape (n,) -- the response. feature_weights: [float, sequence] Penalty weights. An intercept, or other unpenalized features are handled by setting those entries of `feature_weights` to 0. If `feature_weights` is a float, then all parameters are penalized equally. candidate : np.bool (optional) Which groups of variables are candidates for inclusion in this step. Defaults to ~active. active : np.bool (optional) Which groups of variables make up $E$, the set of variables we partially minimize over. Defaults to `np.zeros(p, np.bool)`. randomizer_scale : float Scale for IID components of randomizer. randomizer : str One of ['laplace', 'logistic', 'gaussian'] Returns ------- L : `selection.randomized.convenience.step` """ loglike = rr.glm.gaussian(X, Y) n, p = X.shape if active is None: active = np.zeros(p, np.bool) if candidate is None: candidate = ~active if randomizer_scale is None: mean_diag = np.mean((X**2).sum(0)) randomizer_scale = np.sqrt(mean_diag) * 0.5 * np.std(Y) return step(loglike, feature_weights, candidate, randomizer_scale, active=active, randomizer=randomizer, parametric_cov_estimator=parametric_cov_estimator) @staticmethod def logistic(X, successes, feature_weights, active=None, candidate=None, trials=None, parametric_cov_estimator=False, randomizer_scale=None, randomizer='gaussian'): r""" Take a step with a logistic loglikelihood. Parameters ---------- X : ndarray Shape (n,p) -- the design matrix. successes : ndarray Shape (n,) -- response vector. An integer number of successes. For data that is proportions, multiply the proportions by the number of trials first. feature_weights: [float, sequence] Penalty weights. An intercept, or other unpenalized features are handled by setting those entries of `feature_weights` to 0. If `feature_weights` is a float, then all parameters are penalized equally. candidate : np.bool (optional) Which groups of variables are candidates for inclusion in this step. Defaults to ~active. active : np.bool (optional) Which groups of variables make up $E$, the set of variables we partially minimize over. Defaults to `np.zeros(p, np.bool)`. trials : ndarray (optional) Number of trials per response, defaults to ones the same shape as Y. randomizer_scale : float Scale for IID components of randomizer. randomizer : str One of ['laplace', 'logistic', 'gaussian'] Returns ------- L : `selection.randomized.convenience.step` """ n, p = X.shape loglike = rr.glm.logistic(X, successes, trials=trials) if active is None: active = np.zeros(p, np.bool) if candidate is None: candidate = ~active if randomizer_scale is None: mean_diag = np.mean((X**2).sum(0)) randomizer_scale = np.sqrt(mean_diag) * 0.5 return step(loglike, feature_weights, candidate, randomizer_scale, active=active, parametric_cov_estimator=parametric_cov_estimator) @staticmethod def coxph(X, times, status, feature_weights, candidate=None, active=None, parametric_cov_estimator=False, randomizer_scale=None, randomizer='gaussian'): r""" Take a step with a Cox partial loglikelihood. Uses Efron's tie breaking method. Parameters ---------- X : ndarray Shape (n,p) -- the design matrix. times : ndarray Shape (n,) -- the survival times. status : ndarray Shape (n,) -- the censoring status. feature_weights: [float, sequence] Penalty weights. An intercept, or other unpenalized features are handled by setting those entries of `feature_weights` to 0. If `feature_weights` is a float, then all parameters are penalized equally. candidate : np.bool (optional) Which groups of variables are candidates for inclusion in this step. Defaults to ~active. active : np.bool (optional) Which groups of variables make up $E$, the set of variables we partially minimize over. Defaults to `np.zeros(p, np.bool)`. randomizer_scale : float Scale for IID components of randomizer. randomizer : str One of ['laplace', 'logistic', 'gaussian'] Returns ------- L : `selection.randomized.convenience.lasso` """ n, p = X.shape loglike = coxph_obj(X, times, status) if active is None: active = np.zeros(p, np.bool) if candidate is None: candidate = ~active if randomizer_scale is None: randomizer_scale = 1. / np.sqrt(n) return step(loglike, feature_weights, candidate, randomizer_scale, active=active, randomizer=randomizer, parametric_cov_estimator=parametric_cov_estimator) @staticmethod def poisson(X, counts, feature_weights, candidate=None, active=None, parametric_cov_estimator=False, randomizer_scale=None, randomizer='gaussian'): r""" Take a step with a Poisson loglikelihood. Parameters ---------- X : ndarray Shape (n,p) -- the design matrix. counts : ndarray Shape (n,) -- the response. feature_weights: [float, sequence] Penalty weights. An intercept, or other unpenalized features are handled by setting those entries of `feature_weights` to 0. If `feature_weights` is a float, then all parameters are penalized equally. candidate : np.bool (optional) Which groups of variables are candidates for inclusion in this step. Defaults to ~active. active : np.bool (optional) Which groups of variables make up $E$, the set of variables we partially minimize over. Defaults to `np.zeros(p, np.bool)`. randomizer_scale : float Scale for IID components of randomizer. randomizer : str One of ['laplace', 'logistic', 'gaussian'] Returns ------- L : `selection.randomized.convenience.step` """ n, p = X.shape loglike = rr.glm.poisson(X, counts) # scale for randomizer seems kind of meaningless here... if active is None: active = np.zeros(p, np.bool) if candidate is None: candidate = ~active mean_diag = np.mean((X**2).sum(0)) if randomizer_scale is None: randomizer_scale = np.sqrt(mean_diag) * 0.5 * np.std(counts) return step(loglike, feature_weights, candidate, randomizer_scale, active=active, randomizer=randomizer, parametric_cov_estimator=parametric_cov_estimator) class threshold(lasso): r""" A class for thresholding some coordinates of the randomized score of a GLM. The problem we are solving is .. math:: \text{minimize}_{\eta: |\eta_i| \leq \tau_i} \frac{1}{2}\|\nabla \ell(\bar{\beta}_E) + \omega - \eta\|^2_2 The set of variables $E$ are variables we have partially maximized over and $\bar{\beta}_E$ should be viewed as padded out with zeros over all variables in $E^c$. """ def __init__(self, loglike, threshold_value, candidate, randomizer_scale, active=None, randomizer='gaussian', parametric_cov_estimator=False): r""" Create a new post-selection for the stepwise problem Parameters ---------- loglike : `regreg.smooth.glm.glm` A (negative) log-likelihood as implemented in `regreg`. threshold_value : [float, sequence] Thresholding for each feature. If 1d defaults it is treated as a multiple of np.ones. candidate : np.bool Which groups of variables are candidates for thresholding. randomizer_scale : float Scale for IID components of randomization. active : np.bool (optional) Which groups of variables make up $E$, the set of variables we partially minimize over. randomizer : str (optional) One of ['laplace', 'logistic', 'gaussian'] """ self.active = active self.candidate = candidate self.loglike = loglike self.nfeature = p = self.loglike.shape[0] if np.asarray(threshold_value).shape == (): threshold = np.ones(loglike.shape) * threshold_value self.threshold_value = np.asarray(threshold_value)[self.candidate] self.parametric_cov_estimator = parametric_cov_estimator nrandom = candidate.sum() if randomizer == 'laplace': self.randomizer = randomization.laplace((nrandom,), scale=randomizer_scale) elif randomizer == 'gaussian': self.randomizer = randomization.isotropic_gaussian((nrandom,),randomizer_scale) elif randomizer == 'logistic': self.randomizer = randomization.logistic((nrandom,), scale=randomizer_scale) def fit(self, views=[]): """ Find the maximizing group. Parameters ---------- solve_args : keyword args Passed to `regreg.problems.simple_problem.solve`. views : list Other views of the data, e.g. cross-validation. Returns ------- sign_beta : np.float Support and non-zero signs of randomized lasso solution. """ p = self.nfeature self._view = glm_threshold_score(self.loglike, self.threshold_value, self.randomizer, self.active, self.candidate) self._view.solve() views = copy(views); views.append(self._view) self._queries = multiple_queries(views) self._queries.solve() self.boundary = self._view.selection_variable['boundary_set'] return self.boundary def decompose_subgradient(self, conditioning_groups=None, marginalizing_groups=None): """ Marginalize over some if candidate part of subgradient if applicable. Parameters ---------- conditioning_groups : np.bool Which groups' subgradients should we condition on. marginalizing_groups : np.bool Which groups' subgradients should we marginalize over. Returns ------- None """ raise NotImplementedError @staticmethod def gaussian(X, Y, threshold_value, candidate=None, active=None, parametric_cov_estimator=False, randomizer_scale=None, randomizer='gaussian'): r""" Take a step with a Gaussian loglikelihood. Parameters ---------- X : ndarray Shape (n,p) -- the design matrix. Y : ndarray Shape (n,) -- the response. threshold_value : [float, sequence] Penalty weights. An intercept, or other unpenalized features are handled by setting those entries of `threshold` to 0. If `threshold` is a float, then all parameters are penalized equally. candidate : np.bool (optional) Which groups of variables are candidates for inclusion in this step. Defaults to ~active. active : np.bool (optional) Which groups of variables make up $E$, the set of variables we partially minimize over. Defaults to `np.zeros(p, np.bool)`. randomizer_scale : float Scale for IID components of randomizer. randomizer : str One of ['laplace', 'logistic', 'gaussian'] Returns ------- L : `selection.randomized.convenience.threshold` """ loglike = rr.glm.gaussian(X, Y) n, p = X.shape if active is None: active = np.zeros(p, np.bool) if candidate is None: candidate = ~active if randomizer_scale is None: mean_diag = np.mean((X**2).sum(0)) randomizer_scale = np.sqrt(mean_diag) * 0.5 * np.std(Y) return threshold(loglike, threshold_value, candidate, randomizer_scale, active=active, randomizer=randomizer, parametric_cov_estimator=parametric_cov_estimator) @staticmethod def logistic(X, successes, threshold_value, active=None, candidate=None, trials=None, parametric_cov_estimator=False, randomizer_scale=None, randomizer='gaussian'): r""" Take a step with a logistic loglikelihood. Parameters ---------- X : ndarray Shape (n,p) -- the design matrix. successes : ndarray Shape (n,) -- response vector. An integer number of successes. For data that is proportions, multiply the proportions by the number of trials first. threshold_value : [float, sequence] Penalty weights. An intercept, or other unpenalized features are handled by setting those entries of `threshold` to 0. If `threshold` is a float, then all parameters are penalized equally. candidate : np.bool (optional) Which groups of variables are candidates for inclusion in this step. Defaults to ~active. active : np.bool (optional) Which groups of variables make up $E$, the set of variables we partially minimize over. Defaults to `np.zeros(p, np.bool)`. trials : ndarray (optional) Number of trials per response, defaults to ones the same shape as Y. randomizer_scale : float Scale for IID components of randomizer. randomizer : str One of ['laplace', 'logistic', 'gaussian'] Returns ------- L : `selection.randomized.convenience.threshold` """ n, p = X.shape loglike = rr.glm.logistic(X, successes, trials=trials) if active is None: active = np.zeros(p, np.bool) if candidate is None: candidate = ~active if randomizer_scale is None: mean_diag = np.mean((X**2).sum(0)) randomizer_scale = np.sqrt(mean_diag) * 0.5 return threshold(loglike, threshold_value, candidate, randomizer_scale, active=active, parametric_cov_estimator=parametric_cov_estimator) @staticmethod def coxph(X, times, status, threshold_value, candidate=None, active=None, parametric_cov_estimator=False, randomizer_scale=None, randomizer='gaussian'): r""" Take a step with a Cox partial loglikelihood. Uses Efron's tie breaking method. Parameters ---------- X : ndarray Shape (n,p) -- the design matrix. times : ndarray Shape (n,) -- the survival times. status : ndarray Shape (n,) -- the censoring status. threshold_value : [float, sequence] Penalty weights. An intercept, or other unpenalized features are handled by setting those entries of `threshold` to 0. If `threshold` is a float, then all parameters are penalized equally. candidate : np.bool (optional) Which groups of variables are candidates for inclusion in this step. Defaults to ~active. active : np.bool (optional) Which groups of variables make up $E$, the set of variables we partially minimize over. Defaults to `np.zeros(p, np.bool)`. randomizer_scale : float Scale for IID components of randomizer. randomizer : str One of ['laplace', 'logistic', 'gaussian'] Returns ------- L : `selection.randomized.convenience.threshold` """ n, p = X.shape loglike = coxph_obj(X, times, status) if active is None: active = np.zeros(p, np.bool) if candidate is None: candidate = ~active if randomizer_scale is None: randomizer_scale = 1. / np.sqrt(n) return threshold(loglike, threshold_value, candidate, randomizer_scale, active=active, randomizer=randomizer, parametric_cov_estimator=parametric_cov_estimator) @staticmethod def poisson(X, counts, threshold_value, candidate=None, active=None, parametric_cov_estimator=False, randomizer_scale=None, randomizer='gaussian'): r""" Take a step with a Poisson loglikelihood. Parameters ---------- X : ndarray Shape (n,p) -- the design matrix. counts : ndarray Shape (n,) -- the response. threshold_value : [float, sequence] Penalty weights. An intercept, or other unpenalized features are handled by setting those entries of `threshold` to 0. If `threshold` is a float, then all parameters are penalized equally. candidate : np.bool (optional) Which groups of variables are candidates for inclusion in this step. Defaults to ~active. active : np.bool (optional) Which groups of variables make up $E$, the set of variables we partially minimize over. Defaults to `np.zeros(p, np.bool)`. randomizer_scale : float Scale for IID components of randomizer. randomizer : str One of ['laplace', 'logistic', 'gaussian'] Returns ------- L : `selection.randomized.convenience.threshold` """ n, p = X.shape loglike = rr.glm.poisson(X, counts) # scale for randomizer seems kind of meaningless here... if active is None: active = np.zeros(p, np.bool) if candidate is None: candidate = ~active mean_diag = np.mean((X**2).sum(0)) if randomizer_scale is None: randomizer_scale = np.sqrt(mean_diag) * 0.5 * np.std(counts) return threshold(loglike, threshold_value, candidate, randomizer_scale, active=active, randomizer=randomizer, parametric_cov_estimator=parametric_cov_estimator)

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0

7

efd2a247fae8587bac2d4eb9a6d4264e72cf6f5d

39

py

Python

tracklib/io/__init__.py

SGrosse-Holz/tracklib

e0b88e3959db2ce65869d8292ce5792f4c77c7a4

[ "MIT" ]

1

2022-01-30T15:10:51.000Z

tracklib/io/__init__.py

SGrosse-Holz/tracklib

e0b88e3959db2ce65869d8292ce5792f4c77c7a4

[ "MIT" ]

null

tracklib/io/__init__.py

SGrosse-Holz/tracklib

e0b88e3959db2ce65869d8292ce5792f4c77c7a4

[ "MIT" ]

null

from . import load from . import write

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0

1

0

1

0

7

323c5799f0ba54cbf2cf6e2913cac55568cb9079

8,061

py

Python

datasets/weedcluster.py

carolinepotts/DeepLabV3Plus-Pytorch

208ae68a5d0265be5aafa39c2e27bd9beb380346

[ "MIT" ]

null

datasets/weedcluster.py

carolinepotts/DeepLabV3Plus-Pytorch

208ae68a5d0265be5aafa39c2e27bd9beb380346

[ "MIT" ]

null

datasets/weedcluster.py

carolinepotts/DeepLabV3Plus-Pytorch

208ae68a5d0265be5aafa39c2e27bd9beb380346

[ "MIT" ]

null

import os import torch from skimage import io, transform from torch.utils.data import Dataset, DataLoader from torchvision import transforms, utils from PIL import Image import numpy as np class WeedClusterDataset(Dataset): """weed_cluster class only dataset. Use when only detecting weed clusters to minimize memory usage.""" def __init__(self, root, split='train'): """ Args: root (string): Directory that includes directory of images and directory of labels. Should end in '/' """ if split not in ['train', 'test', 'val']: raise ValueError('Invalid split for mode! Please use split="train", split="test"' ' or split="val"') self.split = split self.root = root self.images = os.listdir(self.root + split + '/images/rgb/') # @classmethod # def decode_target(cls, target): # return target def __len__(self): return len(self.images) def __getitem__(self, index): img = torch.from_numpy(np.array(Image.open(self.root + self.split + '/images/rgb/' + self.images[index]).convert('RGB')).reshape((3,512,512))) # print("img shape: ", img.shape) target = torch.from_numpy((np.array(Image.open(self.root + self.split + '/labels/weed_cluster/' + self.images[index][:-4] + '.png'))/255).astype(int)) # print("target shape: ", target.shape) # print("target: ", target) return img, target class CloudShadowDataset(Dataset): """cloud_shadow class only dataset. Use when only detecting cloud shadows to minimize memory usage.""" def __init__(self, root, split='train'): """ Args: root (string): Directory that includes directory of images and directory of labels. Should end in '/' """ if split not in ['train', 'test', 'val']: raise ValueError('Invalid split for mode! Please use split="train", split="test"' ' or split="val"') self.split = split self.root = root self.images = os.listdir(self.root + split + '/images/rgb/') # @classmethod # def decode_target(cls, target): # return target def __len__(self): return len(self.images) def __getitem__(self, index): img = torch.from_numpy(np.array(Image.open(self.root + self.split + '/images/rgb/' + self.images[index]).convert('RGB')).reshape((3,512,512))) # print("img shape: ", img.shape) target = torch.from_numpy((np.array(Image.open(self.root + self.split + '/labels/cloud_shadow/' + self.images[index][:-4] + '.png'))/255).astype(int)) # print("target shape: ", target.shape) # print("target: ", target) return img, target class DoublePlantDataset(Dataset): """double_plant class only dataset. Use when only detecting double plants to minimize memory usage.""" def __init__(self, root, split='train'): """ Args: root (string): Directory that includes directory of images and directory of labels. Should end in '/' """ if split not in ['train', 'test', 'val']: raise ValueError('Invalid split for mode! Please use split="train", split="test"' ' or split="val"') self.split = split self.root = root self.images = os.listdir(self.root + split + '/images/rgb/') # @classmethod # def decode_target(cls, target): # return target def __len__(self): return len(self.images) def __getitem__(self, index): img = torch.from_numpy(np.array(Image.open(self.root + self.split + '/images/rgb/' + self.images[index]).convert('RGB')).reshape((3,512,512))) # print("img shape: ", img.shape) target = torch.from_numpy((np.array(Image.open(self.root + self.split + '/labels/double_plant/' + self.images[index][:-4] + '.png'))/255).astype(int)) # print("target shape: ", target.shape) # print("target: ", target) return img, target class PlanterSkipDataset(Dataset): """planter_skip class only dataset. Use when only detecting planter skips to minimize memory usage.""" def __init__(self, root, split='train'): """ Args: root (string): Directory that includes directory of images and directory of labels. Should end in '/' """ if split not in ['train', 'test', 'val']: raise ValueError('Invalid split for mode! Please use split="train", split="test"' ' or split="val"') self.split = split self.root = root self.images = os.listdir(self.root + split + '/images/rgb/') # @classmethod # def decode_target(cls, target): # return target def __len__(self): return len(self.images) def __getitem__(self, index): img = torch.from_numpy(np.array(Image.open(self.root + self.split + '/images/rgb/' + self.images[index]).convert('RGB')).reshape((3,512,512))) # print("img shape: ", img.shape) target = torch.from_numpy((np.array(Image.open(self.root + self.split + '/labels/planter_skip/' + self.images[index][:-4] + '.png'))/255).astype(int)) # print("target shape: ", target.shape) # print("target: ", target) return img, target class StandingWaterDataset(Dataset): """standing_water class only dataset. Use when only detecting standing water to minimize memory usage.""" def __init__(self, root, split='train'): """ Args: root (string): Directory that includes directory of images and directory of labels. Should end in '/' """ if split not in ['train', 'test', 'val']: raise ValueError('Invalid split for mode! Please use split="train", split="test"' ' or split="val"') self.split = split self.root = root self.images = os.listdir(self.root + split + '/images/rgb/') # @classmethod # def decode_target(cls, target): # return target def __len__(self): return len(self.images) def __getitem__(self, index): img = torch.from_numpy(np.array(Image.open(self.root + self.split + '/images/rgb/' + self.images[index]).convert('RGB')).reshape((3,512,512))) # print("img shape: ", img.shape) target = torch.from_numpy((np.array(Image.open(self.root + self.split + '/labels/standing_water/' + self.images[index][:-4] + '.png'))/255).astype(int)) # print("target shape: ", target.shape) # print("target: ", target) return img, target class WaterwayDataset(Dataset): """waterway class only dataset. Use when only detecting waterways to minimize memory usage.""" def __init__(self, root, split='train'): """ Args: root (string): Directory that includes directory of images and directory of labels. Should end in '/' """ if split not in ['train', 'test', 'val']: raise ValueError('Invalid split for mode! Please use split="train", split="test"' ' or split="val"') self.split = split self.root = root self.images = os.listdir(self.root + split + '/images/rgb/') # @classmethod # def decode_target(cls, target): # return target def __len__(self): return len(self.images) def __getitem__(self, index): img = torch.from_numpy(np.array(Image.open(self.root + self.split + '/images/rgb/' + self.images[index]).convert('RGB')).reshape((3,512,512))) # print("img shape: ", img.shape) target = torch.from_numpy((np.array(Image.open(self.root + self.split + '/labels/waterway/' + self.images[index][:-4] + '.png'))/255).astype(int)) # print("target shape: ", target.shape) # print("target: ", target) return img, target

37.84507

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0

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8,061

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null

0

1

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1

0

null

0

7

32a5e501d33fe1c4f73fc9b11de548b4c7db87ea

6,468

py

Python

pythonlibs/mantis/sg/fisher/ctp/loader.py

adoggie/Tibet.6

3c53060edafd80b9c4dafa10699a68d86a410c66

[ "MIT" ]

22

2019-10-28T07:28:12.000Z

2022-03-19T15:36:41.000Z

pythonlibs/mantis/sg/fisher/ctp/loader.py

adoggie/Tibet.6

3c53060edafd80b9c4dafa10699a68d86a410c66

[ "MIT" ]

1

2019-11-07T04:54:14.000Z

2019-11-07T07:12:48.000Z

pythonlibs/mantis/sg/fisher/ctp/loader.py

adoggie/Tibet.6

3c53060edafd80b9c4dafa10699a68d86a410c66

[ "MIT" ]

13

2019-10-28T07:29:07.000Z

2021-11-03T06:53:12.000Z

#coding:utf-8 """ ctp策略运行加载器定义 """ from pymongo import MongoClient from mantis.sg.fisher.utils.importutils import import_module from mantis.sg.fisher.utils.useful import singleton from mantis.fundamental.utils.timeutils import current_date_string from mantis.sg.fisher import stbase from mantis.sg.fisher import ams from mantis.sg.fisher import strecoder from mantis.sg.fisher import stsim from mantis.sg.fisher import stgenerator from mantis.sg.fisher.model import model from mantis.sg.fisher.ctp.backtest import CtpMarketBarBackTest,CtpTraderBackTest from mantis.sg.fisher import stutils from mantis.sg.fisher.stbase.loader import StrategyLoader class CtpBackTestLoader(StrategyLoader): """回测加载器类""" def __init__(self): StrategyLoader.__init__(self) self.cfgs = {} def load(self,strategy_id, strategy_cls, symbol, strategy_db=('127.0.0.1',27017), dbname='TradeFisherCtp', quotes_db=('127.0.0.1',27017), cycle=1, start='2019-6-18 9:0', end='2019-6-19 15:0', freq=.1): """ :param strategy_id: 策略编号 :param strategy_cls: 策略类定义 :param symbol: 商品合约代码 :param strategy_db: 策略运行数据库(host,port) :param dbname: 策略运行数据库名 :param quotes_db: 行情数据库 :param cycle: K线周期 1,5,15,30 :param start: 回测加载数据开始时间 :param end: 回测加载数据结束时间 :param freq: K线回放速度控制 .1 s :return: """ SYMBOL = symbol mongodb_host, mongodb_port = strategy_db data_path = './'+strategy_id quotas_db_conn = MongoClient(quotes_db[0], quotes_db[1]) # 历史k线数据库 # 初始化系统参数控制器 paramctrl = stbase.MongoParamController() paramctrl.open(host=mongodb_host, port=mongodb_port, dbname=dbname) # 策略控制器 stbase.controller.init(data_path) # 添加运行日志处理 stbase.controller.getLogger().addAppender(stbase.FileLogAppender('CTP')) stbase.controller.setParamController(paramctrl) param = paramctrl.get(strategy_id) # 读取指定策略id的参数 # conn_url = paramctrl.get_conn_url(param.conn_url) # 读取策略相关的交易账户信息 # 初始化行情对象 params = dict(db_conn=quotas_db_conn, cycle= cycle, symbol=SYMBOL, start=start, end=end, freq=freq) # params.update( conn_url.dict() ) market = CtpMarketBarBackTest().init(**params) # 配置历史行情记录加载器 # 装备行情对象到股票产品 stbase.controller.futures.setupMarket(market) # 初始化交易对象 # trader = CtpTrader().init(**conn_url.dict()) trader = CtpTraderBackTest().init() stbase.controller.futures.setupTrader(trader) # 初始化策略对象 strategy = strategy_cls(strategy_id, stbase.controller.futures).init().setLoader(self) # 设置策略日志对象 strategy.getLogger().addAppender( strecoder.StragetyLoggerMongoDBAppender(db_prefix=dbname, host=mongodb_host, port=mongodb_port)) # 添加策略到控制器 stbase.controller.addStrategy(strategy) self.strategy = strategy return self def getTradeObject(self,bar): """模拟获得当前最新的Tick数据""" tradeobj = self.strategy.product.getTradeObject(bar.code) tradeobj.price.LastPrice = bar.close tradeobj.price.AskPrice1 = bar.close tradeobj.price.BidPrice1 = bar.close return tradeobj def run(self): # 控制器运行 stbase.controller.run() # 开始运行，加载k线数据 class CtpStrategyLoader(StrategyLoader): """策略加载器类""" def __init__(self): StrategyLoader.__init__(self) self.cfgs = {} def load(self,strategy_id, strategy_cls, symbol, strategy_db=('127.0.0.1',27017), dbname='TradeFisherCtp', quotes_db=('127.0.0.1',27017), cycle=1, start='2019-6-18 9:0', end='2019-6-19 15:0', freq=.1): """ :param strategy_id: 策略编号 :param strategy_cls: 策略类定义 :param symbol: 商品合约代码 :param strategy_db: 策略运行数据库(host,port) :param dbname: 策略运行数据库名 :param quotes_db: 行情数据库 :param cycle: K线周期 1,5,15,30 :param start: 回测加载数据开始时间 :param end: 回测加载数据结束时间 :param freq: K线回放速度控制 .1 s :return: """ SYMBOL = symbol mongodb_host, mongodb_port = strategy_db data_path = './'+strategy_id quotas_db_conn = MongoClient(quotes_db[0], quotes_db[1]) # 历史k线数据库 # 初始化系统参数控制器 paramctrl = stbase.MongoParamController() paramctrl.open(host=mongodb_host, port=mongodb_port, dbname=dbname) # 策略控制器 stbase.controller.init(data_path) # 添加运行日志处理 stbase.controller.getLogger().addAppender(stbase.FileLogAppender('CTP')) stbase.controller.setParamController(paramctrl) param = paramctrl.get(strategy_id) # 读取指定策略id的参数 # conn_url = paramctrl.get_conn_url(param.conn_url) # 读取策略相关的交易账户信息 # 初始化行情对象 params = dict(db_conn=quotas_db_conn, cycle= cycle, symbol=SYMBOL, start=start, end=end, freq=freq) # params.update( conn_url.dict() ) market = CtpMarketBarBackTest().init(**params) # 配置历史行情记录加载器 # 装备行情对象到股票产品 stbase.controller.futures.setupMarket(market) # 初始化交易对象 # trader = CtpTrader().init(**conn_url.dict()) trader = CtpTraderBackTest().init() stbase.controller.futures.setupTrader(trader) # 初始化策略对象 strategy = strategy_cls(strategy_id, stbase.controller.futures).init().setLoader(self) # 设置策略日志对象 strategy.getLogger().addAppender( strecoder.StragetyLoggerMongoDBAppender(db_prefix=dbname, host=mongodb_host, port=mongodb_port)) # 添加策略到控制器 stbase.controller.addStrategy(strategy) self.strategy = strategy return self def getTradeObject(self,bar): tradeobj = self.strategy.product.getTradeObject(bar.code) return tradeobj def run(self): # 控制器运行 stbase.controller.run() # 开始运行，加载k线数据 """ mnogodb query statements ---------------------- db.getCollection('AJ_Test1_20190426').find({event:{$in:['order','order_cancel']}},{order_id:1,direction:1,code:1,price:1,oc:1,time:1,quantity:1,_id:0,event:1}).sort({time:-1}) """

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0.267161

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33.340206

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null

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1

0

1

0

null

0

7

32bba3a32dc25830cb67c2cb96553602845dcb6b

139

py

Python

Chapter09/readcount1.py

kaushalkumarshah/Learn-Python-in-7-Days

2663656767c8959ace836f0c0e272f3e501bbe6e

[ "MIT" ]

12

2018-07-09T16:20:31.000Z

2022-03-21T22:52:15.000Z

Chapter09/readcount1.py

kaushalkumarshah/Learn-Python-in-7-Days

2663656767c8959ace836f0c0e272f3e501bbe6e

[ "MIT" ]

null

Chapter09/readcount1.py

kaushalkumarshah/Learn-Python-in-7-Days

2663656767c8959ace836f0c0e272f3e501bbe6e

[ "MIT" ]

19

2018-01-09T12:49:06.000Z

2021-11-23T08:05:55.000Z

file_input = open("sample1.txt",'r') print file_input.read(20) print file_input.read(15) print file_input.read(10) file_input.close()

27.8

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null

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1

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1

0

7

08ba80a90e4722bf1fa533da5b808e14f9598e28

6,683

py

Python

loldib/getratings/models/NA/na_skarner/na_skarner_sup.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

loldib/getratings/models/NA/na_skarner/na_skarner_sup.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

loldib/getratings/models/NA/na_skarner/na_skarner_sup.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

from getratings.models.ratings import Ratings class NA_Skarner_Sup_Aatrox(Ratings): pass class NA_Skarner_Sup_Ahri(Ratings): pass class NA_Skarner_Sup_Akali(Ratings): pass class NA_Skarner_Sup_Alistar(Ratings): pass class NA_Skarner_Sup_Amumu(Ratings): pass class NA_Skarner_Sup_Anivia(Ratings): pass class NA_Skarner_Sup_Annie(Ratings): pass class NA_Skarner_Sup_Ashe(Ratings): pass class NA_Skarner_Sup_AurelionSol(Ratings): pass class NA_Skarner_Sup_Azir(Ratings): pass class NA_Skarner_Sup_Bard(Ratings): pass class NA_Skarner_Sup_Blitzcrank(Ratings): pass class NA_Skarner_Sup_Brand(Ratings): pass class NA_Skarner_Sup_Braum(Ratings): pass class NA_Skarner_Sup_Caitlyn(Ratings): pass class NA_Skarner_Sup_Camille(Ratings): pass class NA_Skarner_Sup_Cassiopeia(Ratings): pass class NA_Skarner_Sup_Chogath(Ratings): pass class NA_Skarner_Sup_Corki(Ratings): pass class NA_Skarner_Sup_Darius(Ratings): pass class NA_Skarner_Sup_Diana(Ratings): pass class NA_Skarner_Sup_Draven(Ratings): pass class NA_Skarner_Sup_DrMundo(Ratings): pass class NA_Skarner_Sup_Ekko(Ratings): pass class NA_Skarner_Sup_Elise(Ratings): pass class NA_Skarner_Sup_Evelynn(Ratings): pass class NA_Skarner_Sup_Ezreal(Ratings): pass class NA_Skarner_Sup_Fiddlesticks(Ratings): pass class NA_Skarner_Sup_Fiora(Ratings): pass class NA_Skarner_Sup_Fizz(Ratings): pass class NA_Skarner_Sup_Galio(Ratings): pass class NA_Skarner_Sup_Gangplank(Ratings): pass class NA_Skarner_Sup_Garen(Ratings): pass class NA_Skarner_Sup_Gnar(Ratings): pass class NA_Skarner_Sup_Gragas(Ratings): pass class NA_Skarner_Sup_Graves(Ratings): pass class NA_Skarner_Sup_Hecarim(Ratings): pass class NA_Skarner_Sup_Heimerdinger(Ratings): pass class NA_Skarner_Sup_Illaoi(Ratings): pass class NA_Skarner_Sup_Irelia(Ratings): pass class NA_Skarner_Sup_Ivern(Ratings): pass class NA_Skarner_Sup_Janna(Ratings): pass class NA_Skarner_Sup_JarvanIV(Ratings): pass class NA_Skarner_Sup_Jax(Ratings): pass class NA_Skarner_Sup_Jayce(Ratings): pass class NA_Skarner_Sup_Jhin(Ratings): pass class NA_Skarner_Sup_Jinx(Ratings): pass class NA_Skarner_Sup_Kalista(Ratings): pass class NA_Skarner_Sup_Karma(Ratings): pass class NA_Skarner_Sup_Karthus(Ratings): pass class NA_Skarner_Sup_Kassadin(Ratings): pass class NA_Skarner_Sup_Katarina(Ratings): pass class NA_Skarner_Sup_Kayle(Ratings): pass class NA_Skarner_Sup_Kayn(Ratings): pass class NA_Skarner_Sup_Kennen(Ratings): pass class NA_Skarner_Sup_Khazix(Ratings): pass class NA_Skarner_Sup_Kindred(Ratings): pass class NA_Skarner_Sup_Kled(Ratings): pass class NA_Skarner_Sup_KogMaw(Ratings): pass class NA_Skarner_Sup_Leblanc(Ratings): pass class NA_Skarner_Sup_LeeSin(Ratings): pass class NA_Skarner_Sup_Leona(Ratings): pass class NA_Skarner_Sup_Lissandra(Ratings): pass class NA_Skarner_Sup_Lucian(Ratings): pass class NA_Skarner_Sup_Lulu(Ratings): pass class NA_Skarner_Sup_Lux(Ratings): pass class NA_Skarner_Sup_Malphite(Ratings): pass class NA_Skarner_Sup_Malzahar(Ratings): pass class NA_Skarner_Sup_Maokai(Ratings): pass class NA_Skarner_Sup_MasterYi(Ratings): pass class NA_Skarner_Sup_MissFortune(Ratings): pass class NA_Skarner_Sup_MonkeyKing(Ratings): pass class NA_Skarner_Sup_Mordekaiser(Ratings): pass class NA_Skarner_Sup_Morgana(Ratings): pass class NA_Skarner_Sup_Nami(Ratings): pass class NA_Skarner_Sup_Nasus(Ratings): pass class NA_Skarner_Sup_Nautilus(Ratings): pass class NA_Skarner_Sup_Nidalee(Ratings): pass class NA_Skarner_Sup_Nocturne(Ratings): pass class NA_Skarner_Sup_Nunu(Ratings): pass class NA_Skarner_Sup_Olaf(Ratings): pass class NA_Skarner_Sup_Orianna(Ratings): pass class NA_Skarner_Sup_Ornn(Ratings): pass class NA_Skarner_Sup_Pantheon(Ratings): pass class NA_Skarner_Sup_Poppy(Ratings): pass class NA_Skarner_Sup_Quinn(Ratings): pass class NA_Skarner_Sup_Rakan(Ratings): pass class NA_Skarner_Sup_Rammus(Ratings): pass class NA_Skarner_Sup_RekSai(Ratings): pass class NA_Skarner_Sup_Renekton(Ratings): pass class NA_Skarner_Sup_Rengar(Ratings): pass class NA_Skarner_Sup_Riven(Ratings): pass class NA_Skarner_Sup_Rumble(Ratings): pass class NA_Skarner_Sup_Ryze(Ratings): pass class NA_Skarner_Sup_Sejuani(Ratings): pass class NA_Skarner_Sup_Shaco(Ratings): pass class NA_Skarner_Sup_Shen(Ratings): pass class NA_Skarner_Sup_Shyvana(Ratings): pass class NA_Skarner_Sup_Singed(Ratings): pass class NA_Skarner_Sup_Sion(Ratings): pass class NA_Skarner_Sup_Sivir(Ratings): pass class NA_Skarner_Sup_Skarner(Ratings): pass class NA_Skarner_Sup_Sona(Ratings): pass class NA_Skarner_Sup_Soraka(Ratings): pass class NA_Skarner_Sup_Swain(Ratings): pass class NA_Skarner_Sup_Syndra(Ratings): pass class NA_Skarner_Sup_TahmKench(Ratings): pass class NA_Skarner_Sup_Taliyah(Ratings): pass class NA_Skarner_Sup_Talon(Ratings): pass class NA_Skarner_Sup_Taric(Ratings): pass class NA_Skarner_Sup_Teemo(Ratings): pass class NA_Skarner_Sup_Thresh(Ratings): pass class NA_Skarner_Sup_Tristana(Ratings): pass class NA_Skarner_Sup_Trundle(Ratings): pass class NA_Skarner_Sup_Tryndamere(Ratings): pass class NA_Skarner_Sup_TwistedFate(Ratings): pass class NA_Skarner_Sup_Twitch(Ratings): pass class NA_Skarner_Sup_Udyr(Ratings): pass class NA_Skarner_Sup_Urgot(Ratings): pass class NA_Skarner_Sup_Varus(Ratings): pass class NA_Skarner_Sup_Vayne(Ratings): pass class NA_Skarner_Sup_Veigar(Ratings): pass class NA_Skarner_Sup_Velkoz(Ratings): pass class NA_Skarner_Sup_Vi(Ratings): pass class NA_Skarner_Sup_Viktor(Ratings): pass class NA_Skarner_Sup_Vladimir(Ratings): pass class NA_Skarner_Sup_Volibear(Ratings): pass class NA_Skarner_Sup_Warwick(Ratings): pass class NA_Skarner_Sup_Xayah(Ratings): pass class NA_Skarner_Sup_Xerath(Ratings): pass class NA_Skarner_Sup_XinZhao(Ratings): pass class NA_Skarner_Sup_Yasuo(Ratings): pass class NA_Skarner_Sup_Yorick(Ratings): pass class NA_Skarner_Sup_Zac(Ratings): pass class NA_Skarner_Sup_Zed(Ratings): pass class NA_Skarner_Sup_Ziggs(Ratings): pass class NA_Skarner_Sup_Zilean(Ratings): pass class NA_Skarner_Sup_Zyra(Ratings): pass

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0.203712

0.407423

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6,683

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null

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1

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0

8

3ef160893797f29230b2e4f4010c074ff8ba7656

193

py

Python

src/elasticizefiles/base/__init__.py

pierluigi-failla/elasticize_files

2530d74f1b56344ee73ca113bcb2870566a565a0

[ "MIT" ]

null

src/elasticizefiles/base/__init__.py

pierluigi-failla/elasticize_files

2530d74f1b56344ee73ca113bcb2870566a565a0

[ "MIT" ]

null

src/elasticizefiles/base/__init__.py

pierluigi-failla/elasticize_files

2530d74f1b56344ee73ca113bcb2870566a565a0

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created by Pierluigi on 2020-02-02 project: elasticizefiles """ from elasticizefiles.base.extractor import Extractor from elasticizefiles.base.elastic import Elastic

27.571429

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193

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27.571429

0.819767

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1

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1

0

7

de75f74d20fd5676db62dd833a493c8fb2ebcf4e

11,756

py

Python

tests/unit/test_measure.py

EwertonBello/measures

c1e3dd8b6d6720f331f5e6a65e19f716f3f4d4a5

[ "MIT" ]

19

2015-01-14T16:44:49.000Z

2020-05-10T04:12:26.000Z

tests/unit/test_measure.py

EwertonBello/measures

c1e3dd8b6d6720f331f5e6a65e19f716f3f4d4a5

[ "MIT" ]

1

2020-03-19T18:47:28.000Z

tests/unit/test_measure.py

EwertonBello/measures

c1e3dd8b6d6720f331f5e6a65e19f716f3f4d4a5

[ "MIT" ]

9

2015-01-16T00:42:12.000Z

2020-10-02T19:06:57.000Z

# -*- coding: utf-8 -*- from unittest import TestCase from measures import Measure from mock import patch import json import socket from nose_focus import focus class MeasureTestCase(TestCase): def test_must_create_a_measure_object_with_correct_attributes(self): measure = Measure('myclient', ('localhost', 1984)) self.assertEqual(measure.client, 'myclient') self.assertEqual(measure.addresses, [('localhost', 1984)]) self.assertEqual( measure.socket.getsockopt(socket.SOL_SOCKET, socket.SO_TYPE), socket.SOCK_DGRAM) # socket is non-blocking self.assertEqual(measure.socket.gettimeout(), 0.0) class BaseMeasureTestCase(TestCase): def setUp(self): self.measure = Measure('myclient', ('localhost', 1984)) class MeasureCountTestCase(BaseMeasureTestCase): @patch('socket.socket.sendto') def test_must_send_a_packet_to_correct_address(self, mock_sendto): self.measure.count('mymetric') self.assertEqual(mock_sendto.call_count, 1) self.assertEqual(mock_sendto.call_args[0][1], ('localhost', 1984)) @patch('socket.socket.sendto') def test_must_send_a_packet_with_counter_of_one(self, mock_sendto): self.measure.count('mymetric') self.assertEqual(mock_sendto.call_count, 1) expected_message = {'client': 'myclient', 'metric': 'mymetric', 'count': 1} message = json.loads(mock_sendto.call_args[0][0].decode('utf-8')) self.assertDictEqual(message, expected_message) @patch('socket.socket.sendto') def test_must_send_a_packet_with_metric_counter_of_ten(self, mock_sendto): self.measure.count('mymetric', counter=10) self.assertEqual(mock_sendto.call_count, 1) expected_message = {'client': 'myclient', 'metric': 'mymetric', 'count': 10} message = json.loads(mock_sendto.call_args[0][0].decode('utf-8')) self.assertDictEqual(message, expected_message) @patch('socket.socket.sendto') def test_must_send_packet_with_dimensions(self, mock_sendto): self.measure.count('mymetric', dimensions={'name': 'john'}) self.assertEqual(mock_sendto.call_count, 1) expected_message = { 'client': 'myclient', 'metric': 'mymetric', 'count': 1, 'name': 'john', } message = json.loads(mock_sendto.call_args[0][0].decode('utf-8')) self.assertDictEqual(message, expected_message) @patch('socket.socket.sendto') def test_dimensions_must_not_override_parameters(self, mock_sendto): self.measure.count('mymetric', dimensions={'client': 'otherclient', 'metric': 'othermetric', 'count': 10}) self.assertEqual(mock_sendto.call_count, 1) expected_message = { 'client': 'myclient', 'metric': 'mymetric', 'count': 1, } message = json.loads(mock_sendto.call_args[0][0].decode('utf-8')) self.assertDictEqual(message, expected_message) @patch('socket.socket.sendto') def test_must_not_change_dimensions_dict(self, mock_sendto): dimensions = {} self.measure.count('mymetric', dimensions=dimensions) self.assertFalse(dimensions) @patch('socket.socket.sendto', side_effect=socket.error) def test_must_not_throw_socket_exception(self, mock_sendto): try: self.measure.count('mymetric') except socket.error: self.fail('socket.error raised from count') @patch('socket.socket.sendto', side_effect=socket.error(80, 'error')) @patch('measures.logger.error') def test_must_log_socket_error(self, mock_warn, mock_sendto): self.measure.count('mymetric') mock_warn.assert_called_once_with('Error on sendto. [Errno 80 - error]') class MeasureTimeTestCase(BaseMeasureTestCase): @patch('socket.socket.sendto') def test_must_send_a_packet_to_correct_address(self, mock_sendto): with self.measure.time('mymetric'): pass self.assertEqual(mock_sendto.call_count, 1) self.assertEqual(mock_sendto.call_args[0][1], ('localhost', 1984)) @patch('socket.socket.sendto') def test_must_send_packet_with_time_spent(self, mock_sendto): with self.measure.time('mymetric'): pass self.assertEqual(mock_sendto.call_count, 1) message = json.loads(mock_sendto.call_args[0][0].decode('utf-8')) self.assertEqual(len(message), 5) self.assertIn('client', message) self.assertEqual(message['client'], 'myclient') self.assertIn('metric', message) self.assertEqual(message['metric'], 'mymetric') self.assertIn('time', message) self.assertIsInstance(message['time'], float) self.assertGreater(message['time'], 0) self.assertIn('error_type', message) self.assertEqual(message['error_type'], '') self.assertIn('error_value', message) self.assertEqual(message['error_value'], '') @patch('socket.socket.sendto') def test_must_send_packet_with_dimensions(self, mock_sendto): with self.measure.time('mymetric') as dimensions: dimensions['name'] = 'john' self.assertEqual(mock_sendto.call_count, 1) message = json.loads(mock_sendto.call_args[0][0].decode('utf-8')) self.assertEqual(len(message), 6) self.assertIn('client', message) self.assertEqual(message['client'], 'myclient') self.assertIn('metric', message) self.assertEqual(message['metric'], 'mymetric') self.assertIn('time', message) self.assertIsInstance(message['time'], float) self.assertGreater(message['time'], 0) self.assertIn('error_type', message) self.assertEqual(message['error_type'], '') self.assertIn('error_value', message) self.assertEqual(message['error_value'], '') self.assertIn('name', message) self.assertEqual(message['name'], 'john') @patch('socket.socket.sendto') def test_dimensions_must_not_override_parameters(self, mock_sendto): with self.measure.time('mymetric') as dimensions: dimensions['client'] = 'otherclient' dimensions['metric'] = 'othermetric' dimensions['time'] = -1 dimensions['error_type'] = 'othertype' dimensions['error_value'] = 'othervalue' self.assertEqual(mock_sendto.call_count, 1) message = json.loads(mock_sendto.call_args[0][0].decode('utf-8')) self.assertEqual(len(message), 5) self.assertIn('client', message) self.assertEqual(message['client'], 'myclient') self.assertIn('metric', message) self.assertEqual(message['metric'], 'mymetric') self.assertIn('time', message) self.assertIsInstance(message['time'], float) self.assertGreater(message['time'], 0) self.assertIn('error_type', message) self.assertEqual(message['error_type'], '') self.assertIn('error_value', message) self.assertEqual(message['error_value'], '') @patch('socket.socket.sendto') def test_must_not_change_dimensions_dict(self, mock_sendto): with self.measure.time('mymetric') as dimensions: dimensions = {} self.assertFalse(dimensions) @patch('socket.socket.sendto', side_effect=socket.error) def test_must_not_throw_socket_exception(self, mock_sendto): try: with self.measure.time('mymetric'): pass except socket.error: self.fail('socket.error raised from time') @patch('socket.socket.sendto', side_effect=socket.error(80, 'error')) @patch('measures.logger.error') def test_must_log_socket_error(self, mock_warn, mock_sendto): with self.measure.time('mymetric'): pass mock_warn.assert_called_once_with('Error on sendto. [Errno 80 - error]') @patch('socket.socket.sendto') def test_must_send_packet_with_time_spent_on_error(self, mock_sendto): with self.assertRaises(ValueError): with self.measure.time('mymetric'): raise ValueError('foo') self.assertEqual(mock_sendto.call_count, 1) message = json.loads(mock_sendto.call_args[0][0].decode('utf-8')) self.assertEqual(len(message), 5) self.assertIn('client', message) self.assertEqual(message['client'], 'myclient') self.assertIn('metric', message) self.assertEqual(message['metric'], 'mymetric') self.assertIn('time', message) self.assertIsInstance(message['time'], float) self.assertGreater(message['time'], 0) self.assertIn('error_type', message) self.assertEqual(message['error_type'], str(ValueError)) self.assertIn('error_value', message) self.assertEqual(message['error_value'], 'foo') @patch('socket.socket.sendto') def test_must_send_packet_with_dimensions_on_error(self, mock_sendto): with self.assertRaises(ValueError): with self.measure.time('mymetric') as dimensions: dimensions['name'] = 'john' raise ValueError('foo') self.assertEqual(mock_sendto.call_count, 1) message = json.loads(mock_sendto.call_args[0][0].decode('utf-8')) self.assertIn('name', message) self.assertEqual(message['name'], 'john') class MeasureSendTestCase(BaseMeasureTestCase): @patch('socket.socket.sendto') def test_must_send_a_packet_to_correct_address(self, mock_sendto): self.measure.send('mymetric', None) self.assertEqual(mock_sendto.call_count, 1) self.assertEqual(mock_sendto.call_args[0][1], ('localhost', 1984)) @patch('socket.socket.sendto') def test_must_send_packet_with_dimensions(self, mock_sendto): d = { 'count': 1, 'name': 'john' } self.measure.send('mymetric', d) self.assertEqual(mock_sendto.call_count, 1) message = json.loads(mock_sendto.call_args[0][0].decode('utf-8')) self.assertEqual(len(message), 4) self.assertIn('client', message) self.assertEqual(message['client'], 'myclient') self.assertIn('metric', message) self.assertEqual(message['metric'], 'mymetric') self.assertIn('count', message) self.assertIsInstance(message['count'], int) self.assertEqual(message['count'], 1) self.assertIn('name', message) self.assertEqual(message['name'], 'john') @patch('socket.socket.sendto', side_effect=socket.error(80, 'error')) @patch('measures.logger.error') def test_must_log_socket_error(self, mock_warn, mock_sendto): self.measure.send('mymetric', None) mock_warn.assert_called_once_with('Error on sendto. [Errno 80 - error]') @patch('socket.socket.sendto') def test_dimensions_must_not_override_parameters(self, mock_sendto): d = { 'client': 'otherclient', 'metric': 'othermetric', 'time': 1.1, 'name': 'john' } self.measure.send('mymetric', d) self.assertEqual(mock_sendto.call_count, 1) message = json.loads(mock_sendto.call_args[0][0].decode('utf-8')) self.assertEqual(len(message), 4) self.assertIn('client', message) self.assertEqual(message['client'], 'myclient') self.assertIn('metric', message) self.assertEqual(message['metric'], 'mymetric') self.assertIn('time', message) self.assertIsInstance(message['time'], float) self.assertEqual(message['time'], 1.1) self.assertIn('name', message) self.assertEqual(message['name'], 'john')

39.716216

114

0.652943

1,351

11,756

5.492228

0.090303

0.107143

0.05283

0.093801

0.879919

0.869003

0.852561

0.843127

0.831132

0.812129

0

0.012673

0.207979

11,756

295

115

39.850847

0.784234

0.003743

0

0.77686

0

0.1574

0.00538

0

0.429752

1

0.095041

false

0.016529

0.024793

0

0.140496

0

null

0

1

0

1

0

null

0

1

0

8

de97e6f8cd37358489e4c1c49082589e8b7bba39

3,741

py

Python

tests/atlas/test_atlas_webhook_tf.py

byorgey/irc-hooky

e78942b7e13ce273c40815863d0384dddfa52243

[ "MIT" ]

19

2016-01-26T18:36:38.000Z

2022-03-12T02:32:01.000Z

tests/atlas/test_atlas_webhook_tf.py

byorgey/irc-hooky

e78942b7e13ce273c40815863d0384dddfa52243

[ "MIT" ]

3

2016-01-29T19:43:25.000Z

2019-03-11T20:21:11.000Z

tests/atlas/test_atlas_webhook_tf.py

byorgey/irc-hooky

e78942b7e13ce273c40815863d0384dddfa52243

[ "MIT" ]

2

2016-03-01T09:23:07.000Z

2020-04-01T21:53:51.000Z

import unittest from irc_hooky.atlas.atlas_webhook import AtlasWebhook class TestAtlasWebhookTerraform(unittest.TestCase): def test_empty_payload(self): payload = {} event = { "payload": payload } atl = AtlasWebhook(event, {}) self.assertEqual(atl.irc_message, "") atl.process_event() self.assertEqual(atl.irc_message, "") def test_process_non_atl_event(self): payload = { "foo": "bar" } event = { "payload": payload } atl = AtlasWebhook(event, {}) self.assertEqual(atl.irc_message, "") atl.process_event() self.assertEqual(atl.irc_message, "") def test_process_invalid_atl_event(self): payload = { "fake_alert": { "environment": "user/tf-test", "message": "Queued manually in Atlas", "number": 2, "status": "errored", "url": "https://url.com" } } event = { "payload": payload } atl = AtlasWebhook(event, {}) self.assertEqual(atl.irc_message, "") atl.process_event() self.assertEqual(atl.irc_message, "") def test_unknown_tf_event(self): payload = { "terraform_alert": { "environment": "user/tf-test", "message": "Queued manually in Atlas", "number": 2, "status": "fakestatus", "url": "https://url.com" } } event = { "payload": payload } atl = AtlasWebhook(event, {}) self.assertEqual(atl.irc_message, "") atl.process_event() self.assertEqual(atl.irc_message, "") def test_tf_needs_confirmation_event(self): payload = { "terraform_alert": { "environment": "user/tf-test", "message": "Queued manually in Atlas", "number": 2, "status": "planned", "url": "https://url.com" } } event = { "payload": payload } atl = AtlasWebhook(event, {}) self.assertEqual(atl.irc_message, "") atl.process_event() expected_msg = "Terraform plan needs confirmation. https://url.com" self.assertEqual(atl.irc_message, expected_msg) def test_tf_applied_event(self): payload = { "terraform_alert": { "environment": "user/tf-test", "message": "Queued manually in Atlas", "number": 2, "status": "applied", "url": "https://url.com" } } event = { "payload": payload } atl = AtlasWebhook(event, {}) self.assertEqual(atl.irc_message, "") atl.process_event() expected_msg = "Terraform plan was applied successfully! https://url.com" # NOQA self.assertEqual(atl.irc_message, expected_msg) def test_tf_errored_event(self): payload = { "terraform_alert": { "environment": "user/tf-test", "message": "Queued manually in Atlas", "number": 2, "status": "errored", "url": "https://url.com" } } event = { "payload": payload } atl = AtlasWebhook(event, {}) self.assertEqual(atl.irc_message, "") atl.process_event() expected_msg = "An error occurred during the Terraform plan or apply phase. https://url.com" # NOQA self.assertEqual(atl.irc_message, expected_msg)

30.917355

108

0.504678

337

3,741

5.433234

0.181009

0.083561

0.13763

0.160568

0.803386

0

0.002124

0.370756

3,741

120

109

31.175

0.775701

0.002406

0

0.666667

0

0.204881

0

0.126126

1

0.063063

false

0

0.018018

0

0.09009

0

null

0

1

0

null

0

7

7220fe5f26e2bd74ae2a474a7cea8655a935ed5d

7,041

py

Python

OPF_Python/src/sdp_ymat.py

JipKim/ACOPF

170c8a65844075773a4230aad93cf24b3832d1c3

[ "MIT" ]

2

2022-02-16T19:37:42.000Z

2022-03-30T11:09:10.000Z

OPF_Python/src/sdp_ymat.py

JipKim/ACOPF

170c8a65844075773a4230aad93cf24b3832d1c3

[ "MIT" ]

null

OPF_Python/src/sdp_ymat.py

JipKim/ACOPF

170c8a65844075773a4230aad93cf24b3832d1c3

[ "MIT" ]

null

#%% import numpy as np from scipy import sparse from scipy.linalg import block_diag #%% def sdp_ymat( lines, Ybus ): nbus = Ybus.shape[0] nline = len(lines) # busset = np.arange(0, nbus) # lineset = np.arange(0, nline) #%% def e(k): return np.eye(nbus)[:, k][np.newaxis] # size of e(k): (1, nbus) def Yk_small(k): return (e(k).T @ e(k)) @ Ybus def Yk(k): return (1/2) * \ np.block([ [np.real(Yk_small(k) + Yk_small(k).T), np.imag(Yk_small(k).T - Yk_small(k))], [np.imag(Yk_small(k) - Yk_small(k).T), np.real(Yk_small(k) + Yk_small(k).T)] ]) def Yk_(k): return -(1/2) * \ np.block([ [np.imag(Yk_small(k) + Yk_small(k).T), np.real(Yk_small(k) - Yk_small(k).T)], [np.real(Yk_small(k).T - Yk_small(k)), np.imag(Yk_small(k) + Yk_small(k).T)] ]) def Mk(k): return block_diag(e(k).T @ e(k), e(k).T @ e(k)) # Real part of line admittance def gl(l): return np.real(1 / (lines[l].r+1j*lines[l].x)) # Imaginary part of line admittance def bl(l): return np.imag(1 / (lines[l].r+1j*lines[l].x)) def tau(l): return 1 if lines[l].tap == 0 else lines[l].tap def theta(l): return lines[l].shft def gbcosft(l): return gl(l)*np.cos(theta(l)) + bl(l)*np.cos(theta(l)+np.pi/2) def gbsinft(l): return gl(l)*np.sin(theta(l)) + bl(l)*np.sin(theta(l)+np.pi/2) def gbcostf(l): return gl(l)*np.cos(-theta(l)) + bl(l)*np.cos(-theta(l)+np.pi/2) def gbsintf(l): return gl(l)*np.sin(-theta(l)) + bl(l)*np.sin(-theta(l)+np.pi/2) #%% def Ylineft(l): return 0.5*( sparse.coo_matrix(( [gl(l)/(tau(l)**2), -gbcosft(l)/tau(l), gbsinft(l)/tau(l), gl(l)/(tau(l)**2), -gbsinft(l)/tau(l), -gbcosft(l)/tau(l)], ([lines[l].fbus, lines[l].fbus, lines[l].fbus, lines[l].fbus + nbus, lines[l].fbus+nbus, lines[l].fbus+nbus], [lines[l].fbus, lines[l].tbus, lines[l].tbus+nbus, lines[l].fbus+nbus, lines[l].tbus, lines[l].tbus+nbus]) ), shape = (2*nbus, 2*nbus)) + sparse.coo_matrix(( [gl(l)/(tau(l)**2), -gbcosft(l)/tau(l), gbsinft(l)/tau(l), gl(l)/(tau(l)**2), -gbsinft(l)/tau(l), -gbcosft(l)/tau(l)], ([lines[l].fbus, lines[l].fbus, lines[l].fbus, lines[l].fbus + nbus, lines[l].fbus+nbus, lines[l].fbus+nbus], [lines[l].fbus, lines[l].tbus, lines[l].tbus+nbus, lines[l].fbus+nbus, lines[l].tbus, lines[l].tbus+nbus]) ), shape=(2*nbus, 2*nbus)).T ) def Y_lineft(l): return 0.5*( sparse.coo_matrix(( [-(bl(l)+lines[l].b/2)/(tau(l)**2), gbsinft(l)/tau(l), gbcosft(l)/tau(l), - (bl(l)+lines[l].b/2)/(tau(l)**2), -gbcosft(l)/tau(l), gbsinft(l)/tau(l)], ([lines[l].fbus, lines[l].fbus, lines[l].fbus, lines[l].fbus + nbus, lines[l].fbus+nbus, lines[l].fbus+nbus], [lines[l].fbus, lines[l].tbus, lines[l].tbus+nbus, lines[l].fbus+nbus, lines[l].tbus, lines[l].tbus+nbus]) ), shape=(2*nbus, 2*nbus)) + sparse.coo_matrix(( [-(bl(l)+lines[l].b/2)/(tau(l)**2), gbsinft(l)/tau(l), gbcosft(l)/tau(l), - (bl(l)+lines[l].b/2)/(tau(l)**2), -gbcosft(l)/tau(l), gbsinft(l)/tau(l)], ([lines[l].fbus, lines[l].fbus, lines[l].fbus, lines[l].fbus + nbus, lines[l].fbus+nbus, lines[l].fbus+nbus], [lines[l].fbus, lines[l].tbus, lines[l].tbus+nbus, lines[l].fbus+nbus, lines[l].tbus, lines[l].tbus+nbus]) ), shape=(2*nbus, 2*nbus)).T ) def Ylinetf(l): return 0.5*( sparse.coo_matrix(( [-gbcostf(l)/tau(l), -gbsintf(l)/tau(l), gbsintf(l) / tau(l), -gbcostf(l)/tau(l), gl(l), gl(l)], ([lines[l].fbus, lines[l].fbus, lines[l].fbus+nbus, lines[l].fbus+nbus, lines[l].tbus, lines[l].tbus+nbus], [lines[l].tbus, lines[l].tbus+nbus, lines[l].tbus, lines[l].tbus+nbus, lines[l].tbus, lines[l].tbus+nbus]) ), shape = (2*nbus, 2*nbus)) + sparse.coo_matrix(( [-gbcostf(l)/tau(l), -gbsintf(l)/tau(l), gbsintf(l) / tau(l), -gbcostf(l)/tau(l), gl(l), gl(l)], ([lines[l].fbus, lines[l].fbus, lines[l].fbus+nbus, lines[l].fbus+nbus, lines[l].tbus, lines[l].tbus+nbus], [lines[l].tbus, lines[l].tbus+nbus, lines[l].tbus, lines[l].tbus+nbus, lines[l].tbus, lines[l].tbus+nbus]) ), shape = (2*nbus, 2*nbus)).T ) def Y_linetf(l): return 0.5*( sparse.coo_matrix(( [gbsintf(l)/tau(l), -gbcostf(l)/tau(l), gbcostf(l)/tau(l), gbsintf(l)/tau(l), -(bl(l)+lines[l].b/2), -(bl(l)+lines[l].b/2)], ([lines[l].fbus, lines[l].fbus, lines[l].fbus+nbus, lines[l].fbus+nbus, lines[l].tbus, lines[l].tbus+nbus], [lines[l].tbus, lines[l].tbus+nbus, lines[l].tbus, lines[l].tbus+nbus, lines[l].tbus, lines[l].tbus+nbus]) ), shape=(2*nbus, 2*nbus)) + sparse.coo_matrix(( [gbsintf(l)/tau(l), -gbcostf(l)/tau(l), gbcostf(l)/tau(l), gbsintf(l)/tau(l), -(bl(l)+lines[l].b/2), -(bl(l)+lines[l].b/2)], ([lines[l].fbus, lines[l].fbus, lines[l].fbus+nbus, lines[l].fbus+nbus, lines[l].tbus, lines[l].tbus+nbus], [lines[l].tbus, lines[l].tbus+nbus, lines[l].tbus, lines[l].tbus+nbus, lines[l].tbus, lines[l].tbus+nbus]) ), shape=(2*nbus, 2*nbus)).T ) def YL(l): return sparse.coo_matrix(( [1, -1, 1, -1, -1, 1, -1, 1], ([lines[l].fbus, lines[l].fbus, lines[l].fbus+nbus, lines[l].fbus+nbus, lines[l].tbus, lines[l].tbus, lines[l].tbus+nbus, lines[l].tbus+nbus], [lines[l].fbus, lines[l].tbus, lines[l].fbus+nbus, lines[l].tbus+nbus, lines[l].fbus, lines[l].tbus, lines[l].fbus+nbus, lines[l].tbus+nbus]) ), shape = (2*nbus, 2*nbus)) * lines[l].r * (gl(l)**2 + bl(l)**2) def YL_(l): return (sparse.coo_matrix(( [1, -1, 1, -1, -1, 1, -1, 1], ([lines[l].fbus, lines[l].fbus, lines[l].fbus+nbus, lines[l].fbus+nbus, lines[l].tbus, lines[l].tbus, lines[l].tbus+nbus, lines[l].tbus+nbus], [lines[l].fbus, lines[l].tbus, lines[l].fbus+nbus, lines[l].tbus+nbus, lines[l].fbus, lines[l].tbus, lines[l].fbus+nbus, lines[l].tbus+nbus]) ), shape = (2*nbus, 2*nbus)) * lines[l].x * (gl(l)**2 + bl(l)**2) - sparse.coo_matrix(( [1, 1, 1, 1], ([lines[l].fbus, lines[l].fbus+nbus, lines[l].tbus, lines[l].tbus+nbus], [lines[l].fbus, lines[l].fbus+nbus, lines[l].tbus, lines[l].tbus+nbus]) ), shape = (2*nbus, 2*nbus)) * lines[l].b / 2) return Yk, Yk_, Mk, Ylineft, Ylinetf, Y_lineft, Y_linetf, YL, YL_

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89

0.512427

1,174

7,041

3.040034

0.062181

0.258896

0.19053

0.142897

0.875035

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false

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1

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1

0

null

0

1

0

9

19c610c8de96f02886afd683ab431bfd08f9796c

11,383

py

Python

robin_stocks/export.py

VacuusUmbra/robin_stocks

52ee37483a8d859a6de70b5248068ac5a36806be

[ "MIT" ]

null

robin_stocks/export.py

VacuusUmbra/robin_stocks

52ee37483a8d859a6de70b5248068ac5a36806be

[ "MIT" ]

null

robin_stocks/export.py

VacuusUmbra/robin_stocks

52ee37483a8d859a6de70b5248068ac5a36806be

[ "MIT" ]

null

from csv import writer from datetime import date, timedelta, datetime import sys from pathlib import Path import robin_stocks.helper as helper import robin_stocks.orders as orders import robin_stocks.stocks as stocks def fix_file_extension(file_name): """ Takes a file extension and makes it end with .csv :param file_name: Name of the file. :type file_name: str :returns: Adds or replaces the file suffix with .csv and returns it as a string. """ path = Path(file_name) path = path.with_suffix('.csv') return path.resolve() def create_absolute_csv(dir_path, file_name, order_type): """ Creates a filepath given a directory and file name. :param dir_path: Absolute or relative path to the directory the file will be written. :type dir_path: str :param file_name: An optional argument for the name of the file. If not defined, filename will be stock_orders_{current date} :type file_name: str :param file_name: Will be 'stock', 'option', or 'crypto' :type file_name: str :returns: An absolute file path as a string. """ path = Path(dir_path) directory = path.resolve() if not file_name: file_name = "{}_orders_{}.csv".format(order_type, date.today().strftime('%b-%d-%Y')) else: file_name = fix_file_extension(file_name) return(Path.joinpath(directory, file_name)) @helper.login_required def export_completed_stock_orders(dir_path, file_name=None): """Write all completed orders to a csv file :param dir_path: Absolute or relative path to the directory the file will be written. :type dir_path: str :param file_name: An optional argument for the name of the file. If not defined, filename will be stock_orders_{current date} :type file_name: Optional[str] """ file_path = create_absolute_csv(dir_path, file_name, 'stock') all_orders = orders.get_all_stock_orders() with open(file_path, 'w', newline='') as f: csv_writer = writer(f) csv_writer.writerow([ 'symbol', 'date', 'order_type', 'side', 'fees', 'quantity', 'average_price' ]) for order in all_orders: if order['state'] == 'filled' and order['cancel'] is None: csv_writer.writerow([ stocks.get_symbol_by_url(order['instrument']), order['last_transaction_at'], order['type'], order['side'], order['fees'], order['quantity'], order['average_price'] ]) f.close() @helper.login_required def export_all_stock_orders(dir_path, file_name=None): """Write all completed orders to a csv file :param dir_path: Absolute or relative path to the directory the file will be written. :type dir_path: str :param file_name: An optional argument for the name of the file. If not defined, filename will be stock_orders_{current date} :type file_name: Optional[str] """ file_path = create_absolute_csv(dir_path, file_name, 'stock') all_orders = orders.get_all_stock_orders() with open(file_path, 'w', newline='') as f: csv_writer = writer(f) csv_writer.writerow([ 'symbol', 'date', 'order_type', 'side', 'fees', 'quantity', 'average_price' ]) for order in all_orders: csv_writer.writerow([ stocks.get_symbol_by_url(order['instrument']), order['last_transaction_at'], order['type'], order['side'], order['fees'], order['quantity'], order['average_price'] ]) f.close() @helper.login_required def export_completed_option_orders(dir_path, file_name=None, page_limit=sys.maxsize): """Write all completed option orders to a csv :param dir_path: Absolute or relative path to the directory the file will be written. :type dir_path: str :param file_name: An optional argument for the name of the file. If not defined, filename will be option_orders_{current date} :type file_name: Optional[str] """ file_path = create_absolute_csv(dir_path, file_name, 'option') all_orders = orders.get_all_option_orders(page_limit) with open(file_path, 'w', newline='') as f: csv_writer = writer(f) csv_writer.writerow([ 'chain_symbol', 'expiration_date', 'strike_price', 'option_type', 'side', 'order_created_at', 'direction', 'order_quantity', 'order_type', 'opening_strategy', 'closing_strategy', 'processed_premium', 'processed_quantity' ]) for order in all_orders: if order['state'] == 'filled': for leg in order['legs']: instrument_data = helper.request_get(leg['option']) csv_writer.writerow([ order['chain_symbol'], instrument_data['expiration_date'], instrument_data['strike_price'], instrument_data['type'], leg['side'], order['created_at'], order['direction'], order['quantity'], order['type'], order['opening_strategy'], order['closing_strategy'], order['processed_premium'], order['processed_quantity'] ]) f.close() @helper.login_required def export_all_option_orders(dir_path, file_name=None, page_limit=sys.maxsize): """Write all option orders to a csv :param dir_path: Absolute or relative path to the directory the file will be written. :type dir_path: str :param file_name: An optional argument for the name of the file. If not defined, filename will be option_orders_{current date} :type file_name: Optional[str] """ file_path = create_absolute_csv(dir_path, file_name, 'option') all_orders = orders.get_all_option_orders(page_limit) with open(file_path, 'w', newline='') as f: csv_writer = writer(f) csv_writer.writerow([ 'chain_symbol', 'expiration_date', 'strike_price', 'option_type', 'side', 'order_created_at', 'direction', 'order_quantity', 'order_type', 'opening_strategy', 'closing_strategy', 'processed_premium', 'processed_quantity' ]) for order in all_orders: for leg in order['legs']: instrument_data = helper.request_get(leg['option']) csv_writer.writerow([ order['chain_symbol'], instrument_data['expiration_date'], instrument_data['strike_price'], instrument_data['type'], leg['side'], order['created_at'], order['direction'], order['quantity'], order['type'], order['opening_strategy'], order['closing_strategy'], order['processed_premium'], order['processed_quantity'] ]) f.close() @helper.login_required def export_option_orders_date_range(dir_path, start_date, end_date, file_name=None, page_limit=sys.maxsize): """Write all of the option orders within a date range to a csv :param dir_path: Absolute or relative path to the directory the file will be written. :type dir_path: str :param file_name: An optional argument for the name of the file. If not defined, filename will be option_orders_{current date} :type file_name: Optional[str] :param start_date: The start of the date range in format 2020-12-21 :type start_date: str :param end_date: The end of the date range in format 2020-12-21 :type end_date: str """ file_path = create_absolute_csv(dir_path, file_name, 'option') all_orders = orders.get_all_option_orders(page_limit) with open(file_path, 'w', newline='') as f: csv_writer = writer(f) csv_writer.writerow([ 'chain_symbol', 'expiration_date', 'strike_price', 'option_type', 'side', 'order_created_at', 'direction', 'order_quantity', 'order_type', 'opening_strategy', 'closing_strategy', 'processed_premium', 'processed_quantity' ]) for order in all_orders: orderDate = datetime.strptime(order['created_at'][:10], "%Y-%m-%d") start = datetime.strptime(str(start_date), "%Y-%m-%d") end = datetime.strptime(str(end_date), "%Y-%m-%d") if start <= orderDate <= end: for leg in order['legs']: instrument_data = helper.request_get(leg['option']) csv_writer.writerow([ order['chain_symbol'], instrument_data['expiration_date'], instrument_data['strike_price'], instrument_data['type'], leg['side'], order['created_at'], order['direction'], order['quantity'], order['type'], order['opening_strategy'], order['closing_strategy'], order['processed_premium'], order['processed_quantity'] ]) f.close() @helper.login_required def export_todays_option_orders(dir_path, file_name=None): today = datetime.today().strftime("%Y-%m-%d") export_option_orders_date_range(dir_path, today, today, file_name,10) @helper.login_required def get_option_orders_date_range(start_date, end_date, page_limit=sys.maxsize): """Get all of the option orders within a date range in an array :param start_date: The start of the date range in format 2020-12-21 :type start_date: str :param end_date: The end of the date range in format 2020-12-21 :type end_date: str """ order_list = [] all_orders = orders.get_all_option_orders(page_limit) for order in all_orders: orderDate = datetime.strptime(order['created_at'][:10], "%Y-%m-%d") start = datetime.strptime(str(start_date), "%Y-%m-%d") end = datetime.strptime(str(end_date), "%Y-%m-%d") if start <= orderDate <= end: order_list.append(order) return order_list @helper.login_required def get_todays_option_orders(): today = datetime.today().strftime("%Y-%m-%d") return get_option_orders_date_range(today, today, 10)

38.070234

134

0.570676

1,325

11,383

4.664906

0.101887

0.047889

0.023297

0.026695

0.872027

0.836272

0.82883

0.799223

0.798253

0.76816

0

0.005234

0.328648

11,383

299

135

38.070234

0.803585

0.2256

0

0.842593

0

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0

1

0.046296

false

0

0.032407

0

0.092593

0

null

0

1

0

1

0

null

0

7

19d97308669a669fd8da85a0fdeb5138bd4966b8

11,078

py

Python

code/train.py

ArvindSubramaniam/Pruning-Networks-using-Neuron2Neuron-Skip-Connections

bbe402bbf4c5afb4ae712354e8fca5ce320501b8

[ "Apache-2.0" ]

1

2021-11-16T03:36:51.000Z

code/train.py

ArvindSubramaniam/Pruning-Networks-using-Neuron2Neuron-Skip-Connections

bbe402bbf4c5afb4ae712354e8fca5ce320501b8

[ "Apache-2.0" ]

null

code/train.py

ArvindSubramaniam/Pruning-Networks-using-Neuron2Neuron-Skip-Connections

bbe402bbf4c5afb4ae712354e8fca5ce320501b8

[ "Apache-2.0" ]

3

2020-12-29T01:52:01.000Z

2021-11-16T03:36:52.000Z

import time import torch import torch.optim as optim import torch.nn as nn from torch.autograd import Variable, Function import torch.nn.functional as F from torch.utils.data import Dataset, DataLoader, ConcatDataset, random_split import torchvision from torchvision import datasets from torchvision import transforms import matplotlib.pyplot as plt import numpy as np ###Downloading the dataset - MNIST transform = transforms.Compose( [transforms.ToTensor(), transforms.Normalize((0.5,), (0.5,))]) trainset_MNIST = torchvision.datasets.MNIST(root='./data', train=True, download=True, transform=transform) train_loader_MNIST = torch.utils.data.DataLoader(trainset_MNIST, batch_size=50, shuffle=True, num_workers=2) valset_MNIST = torchvision.datasets.MNIST(root='./data', train=False, download=True, transform=transform) val_loader_MNIST = torch.utils.data.DataLoader(valset_MNIST, batch_size=50, shuffle=False, num_workers=2) ###Downloading the dataset - CIFAR 10 transform = transforms.Compose( [transforms.ToTensor(), transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))]) trainset = torchvision.datasets.CIFAR10(root='./data', train=True, download=True, transform=transform) train_loader = torch.utils.data.DataLoader(trainset, batch_size=50, shuffle=True, num_workers=2) valset = torchvision.datasets.CIFAR10(root='./data', train=False, download=True, transform=transform) val_loader = torch.utils.data.DataLoader(valset, batch_size=50, shuffle=False, num_workers=2) print(len(trainset),len(valset)) print(len(train_loader),len(val_loader)) def train1_conv(model1): criterion =nn.NLLLoss() model1 = model1.cuda() optimizer = optim.SGD(model1.parameters(), lr=0.003, momentum=0.9) time0 = time.time() training_loss = [] epochs = 50 for epoch in range(epochs): running_loss = 0 correct = 0 for data, labels in train_loader: # Flatten images data = data.view(data.shape[0], -1) # Training pass optimizer.zero_grad() data,labels = data.cuda(),labels.cuda() output = model1(data.double()) loss = criterion(output.double(), labels) loss.backward() optimizer.step() running_loss += loss.item() else: print(f"Epoch {epoch+1}/{epochs} - Training loss: {running_loss/len(train_loader)}") training_loss.append(running_loss/len(train_loader)) print("\nTraining Time (in minutes) =",(time.time()-time0)/60) return training_loss def train_conv(model1): criterion =nn.NLLLoss() model1 = model1.cuda() optimizer = optim.SGD(model1.parameters(), lr=0.003, momentum=0.9) time0 = time.time() training_loss = [] epochs = 10 for epoch in range(epochs): running_loss = 0 correct = 0 for data, labels in train_loader: # Flatten images #data = data.view(data.shape[0], -1) # Training pass optimizer.zero_grad() data,labels = data.cuda(),labels.cuda() output = model1(data) loss = criterion(output, labels) #This is where the model learns by backpropagating loss.backward() #And optimizes its weights here optimizer.step() running_loss += loss.item() training_loss.append(running_loss/len(train_loader)) print(f"Epoch {epoch+1}/{epochs} - Training loss: {running_loss/len(train_loader)}") print("\nTraining Time (in minutes) =",(time.time()-time0)/60) return training_loss def train1(model1): minimum = 1000 criterion =nn.NLLLoss() model1 = model1.cuda() optimizer = optim.SGD(model1.parameters(), lr=0.003, momentum=0.9) time0 = time.time() training_loss,validation_loss = [],[] epochs = 50 for epoch in range(epochs): running_loss = 0 correct = 0 for data, labels in train_loader: # Flatten images data = data.view(data.shape[0], -1) # Training pass optimizer.zero_grad() data,labels = data.cuda(),labels.cuda() output = model1(data.double()) loss = criterion(output.double(), labels) #This is where the model learns by backpropagating loss.backward() #And optimizes its weights here optimizer.step() running_loss += loss.item() training_loss.append(running_loss/len(train_loader)) ###Validation Loss correct = 0 total = 0 val_loss = 0 model1.eval() with torch.no_grad(): for data, targets in val_loader: # Flatten images data = data.view(data.shape[0], -1) # Training pass optimizer.zero_grad() data,targets = data.cuda(),targets.cuda() outputs = model1(data.double()) test_loss = criterion(outputs.double(), targets) _, predicted = torch.max(outputs.data, 1) total += targets.size(0) correct += (predicted == targets).sum().item() val_loss += test_loss.item() validation_loss.append(val_loss/len(val_loader)) if minimum > (val_loss/len(val_loader)): minimum = val_loss/len(val_loader) print(f"Epoch {epoch+1}/{epochs} - Training loss: {running_loss/len(train_loader)} Validation loss: {val_loss/len(val_loader)}") if np.allclose(val_loss/len(val_loader),minimum,atol=0.03): continue else: break print("\nTraining Time (in minutes) =",(time.time()-time0)/60) return training_loss,validation_loss def train(model1): minimum = 1000 criterion =nn.NLLLoss() model1 = model1.cuda() optimizer = optim.SGD(model1.parameters(), lr=0.003, momentum=0.9) time0 = time.time() training_loss = [] validation_loss = [] epochs = 50 for epoch in range(epochs): running_loss = 0 correct = 0 for data, labels in train_loader: # Flatten images data = data.view(data.shape[0], -1) # Training pass optimizer.zero_grad() data,labels = data.cuda(),labels.cuda() output = model1(data) loss = criterion(output, labels) #This is where the model learns by backpropagating loss.backward() #And optimizes its weights here optimizer.step() running_loss += loss.item() training_loss.append(running_loss/len(train_loader)) ###Validation Loss correct = 0 total = 0 val_loss = 0 model1.eval() with torch.no_grad(): for data, targets in val_loader: # Flatten images data = data.view(data.shape[0], -1) # Training pass optimizer.zero_grad() data,targets = data.cuda(),targets.cuda() outputs = model1(data) test_loss = criterion(outputs, targets) _, predicted = torch.max(outputs.data, 1) total += targets.size(0) correct += (predicted == targets).sum().item() val_loss += test_loss.item() validation_loss.append(val_loss/len(val_loader)) if minimum > (val_loss/len(val_loader)): minimum = val_loss/len(val_loader) print(f"Epoch {epoch+1}/{epochs} - Training loss: {running_loss/len(train_loader)} Validation loss: {val_loss/len(val_loader)}") if np.allclose(val_loss/len(val_loader),minimum,atol=0.03): continue else: break print("\nTraining Time (in minutes) =",(time.time()-time0)/60) return training_loss,validation_loss def validation(model1): correct_count, all_count = 0, 0 model1.eval() for images,labels in val_loader: for i in range(len(labels)): img = images[i].view(1, 3072) with torch.no_grad(): img,labels = img.cuda(),labels.cuda() logps = model1(img) ps = torch.exp(logps) probab = list(ps.cpu().numpy()[0]) pred_label = probab.index(max(probab)) true_label = labels.cpu().numpy()[i] if(true_label == pred_label): correct_count += 1 all_count += 1 print("Number Of Images Tested =", all_count) print("\nModel Accuracy =", (100*correct_count/all_count)) return 100*correct_count/all_count def validation1(model1): correct_count, all_count = 0, 0 model1.eval() for images,labels in val_loader: for i in range(len(labels)): img = images[i].view(1, 3072) with torch.no_grad(): img,labels = img.cuda(),labels.cuda() logps = model1(img.double()) ps = torch.exp(logps.double()) probab = list(ps.double().cpu().numpy()[0]) pred_label = probab.index(max(probab)) true_label = labels.cpu().numpy()[i] if(true_label == pred_label): correct_count += 1 all_count += 1 print("Number Of Images Tested =", all_count) print("\nModel Accuracy =", (100*correct_count/all_count)) return 100*correct_count/all_count ''' def validation_conv(model1): correct_count, all_count = 0, 0 model1.eval() for images,labels in val_loader: for i in range(len(labels)): img = images[i] with torch.no_grad(): img,labels = img.cuda(),labels.cuda() logps = model1(img,sparsity) ps = torch.exp(logps) probab = list(ps.cpu().numpy()[0]) pred_label = probab.index(max(probab)) true_label = labels.cpu().numpy()[i] if(true_label == pred_label): correct_count += 1 all_count += 1 print("Number Of Images Tested =", all_count) print("\nModel Accuracy =", (100*correct_count/all_count)) return 100*correct_count/all_count ''' def validation_conv(model): correct = 0 total = 0 model = model.cuda() with torch.no_grad(): for data in val_loader: images, labels = data images, labels = images.cuda(),labels.cuda() outputs = model(images) _, predicted = torch.max(outputs.data, 1) total += labels.size(0) correct += (predicted == labels).sum().item() print("Accuracy: ", 100*correct/total) return 100*correct/total def plots(training_loss,validation_loss): fig,ax = plt.subplots() ax.plot(training_loss,label='Training_loss') ax.plot(validation_loss,label='Validation_loss') plt.legend() plt.show()

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7

c22e9e49f0e1066e6fea478a9b82e9baa73ec67e

2,087

py

Python

evalml/tests/demo_tests/test_datasets.py

BlockchainClimateInstitute/price_microservice

11d1cff8965fe1befc997e9da3dc09efceed4579

[ "BSD-3-Clause" ]

null

evalml/tests/demo_tests/test_datasets.py

BlockchainClimateInstitute/price_microservice

11d1cff8965fe1befc997e9da3dc09efceed4579

[ "BSD-3-Clause" ]

13

2021-03-04T19:29:09.000Z

2022-03-07T01:00:43.000Z

evalml/tests/demo_tests/test_datasets.py

RG4421/evalml

33c62abe6d107d1da2f54e9e44a90f18aaf916a9

[ "BSD-3-Clause" ]

null

import pandas as pd import woodwork as ww from evalml import demos def test_fraud(): X, y = demos.load_fraud() assert X.shape == (99992, 12) assert y.shape == (99992,) assert isinstance(X, ww.DataTable) assert isinstance(y, ww.DataColumn) X, y = demos.load_fraud(1000) assert X.shape == (1000, 12) assert y.shape == (1000,) X, y = demos.load_fraud(1000, return_pandas=True) assert X.shape == (1000, 12) assert y.shape == (1000,) assert isinstance(X, pd.DataFrame) assert isinstance(y, pd.Series) def test_wine(): X, y = demos.load_wine() assert X.shape == (178, 13) assert y.shape == (178,) assert isinstance(X, ww.DataTable) assert isinstance(y, ww.DataColumn) X, y = demos.load_wine(return_pandas=True) assert X.shape == (178, 13) assert y.shape == (178,) assert isinstance(X, pd.DataFrame) assert isinstance(y, pd.Series) def test_breast_cancer(): X, y = demos.load_breast_cancer() assert X.shape == (569, 30) assert y.shape == (569,) assert isinstance(X, ww.DataTable) assert isinstance(y, ww.DataColumn) X, y = demos.load_breast_cancer(return_pandas=True) assert X.shape == (569, 30) assert y.shape == (569,) assert isinstance(X, pd.DataFrame) assert isinstance(y, pd.Series) def test_diabetes(): X, y = demos.load_diabetes() assert X.shape == (442, 10) assert y.shape == (442,) assert isinstance(X, ww.DataTable) assert isinstance(y, ww.DataColumn) X, y = demos.load_diabetes(return_pandas=True) assert X.shape == (442, 10) assert y.shape == (442,) assert isinstance(X, pd.DataFrame) assert isinstance(y, pd.Series) def test_churn(): X, y = demos.load_churn() assert X.shape == (7043, 19) assert y.shape == (7043,) assert isinstance(X, ww.DataTable) assert isinstance(y, ww.DataColumn) X, y = demos.load_churn(return_pandas=True) assert X.shape == (7043, 19) assert y.shape == (7043,) assert isinstance(X, pd.DataFrame) assert isinstance(y, pd.Series)

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1

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9

5f2b9e46fce34da567e2e296d466fae65d6f654c

37,875

py

Python

VirClass/tests/test_load.py

thecoparyew/Virus-classification-theano

55c4a7b804fa65d14c2167a3bbbaa2cf1b4a3521

[ "MIT" ]

null

VirClass/tests/test_load.py

thecoparyew/Virus-classification-theano

55c4a7b804fa65d14c2167a3bbbaa2cf1b4a3521

[ "MIT" ]

5

2016-12-08T17:51:59.000Z

2017-02-23T11:18:32.000Z

VirClass/tests/test_load.py

thecoparyew/Virus-classification-theano

55c4a7b804fa65d14c2167a3bbbaa2cf1b4a3521

[ "MIT" ]

null

# pylint: disable=missing-docstring, protected-access, unused-argument, too-many-arguments, too-many-statements # pylint: disable=too-many-locals, bad-continuation # pydocstyle: disable=missing-docstring from collections import defaultdict from io import StringIO from unittest import TestCase, main from unittest import mock from unittest.mock import patch, mock_open, MagicMock, file_spec import numpy as np import VirClass.VirClass.load as load class LoadUnitTests(TestCase): def test_one_hot(self): # tests: 1x list, 1x np.array, n < number_of_classes, n = number_of_classes, n > number_of_classes x = [0, 1, 3, 2, 0] x_1 = np.array([[1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [1, 0, 0, 0]]) x_2 = np.array([[1, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 1, 0, 0], [1, 0, 0, 0, 0]]) number_of_classes = max(x) + 1 self.assertRaisesRegex(AssertionError, "Cannot create numpy array; number of classes must be bigger than max " "number of list.", load.one_hot, x, number_of_classes - 1) np.testing.assert_array_equal(load.one_hot(x, number_of_classes), x_1) np.testing.assert_array_equal(load.one_hot(x, number_of_classes + 1), x_2) np.testing.assert_array_equal(load.one_hot(np.array(x), number_of_classes), x_1) def test_seq_to_bits(self): vec = "ATCGYM" test_atcgym = [1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1] test_atcg = [1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1] dict_1 = {"A": [1, 1, 0], "G": [1, 0, 0], "T": [1, 1, 1]} test_dict_1 = [1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1] dict_2 = {"T": [1, 0], "C": [0, 1]} test_dict_2 = [1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1] self.assertRaisesRegex(AssertionError, "Number of unique nucleotides and transmission dictionary not present.", load.seq_to_bits, vec, None, None) res = load.seq_to_bits(vec, "ATCGYM", None) self.assertEqual(res, test_atcgym) self.assertEqual(len(res) % 6, 0) # we have 6 unique nucleotides - len % 6 must be 0 res = load.seq_to_bits(vec, "ATCG", None) self.assertEqual(res, test_atcg) self.assertEqual(len(res) % 4, 0) res = load.seq_to_bits(vec, None, dict_1) self.assertEqual(res, test_dict_1) self.assertEqual(len(res) % 3, 0) res = load.seq_to_bits(vec, "AT", dict_1) self.assertEqual(res, test_dict_1) self.assertEqual(len(res) % 3, 0) res = load.seq_to_bits(vec, None, dict_2) self.assertEqual(res, test_dict_2) self.assertEqual(len(res) % 2, 0) res = load.seq_to_bits(vec, "CTGM", dict_2) self.assertEqual(res, test_dict_2) self.assertEqual(len(res) % 2, 0) @patch('VirClass.VirClass.load.os.path.isfile') @patch('VirClass.VirClass.load.load_seqs_from_ncbi') def test_load_from_file_fasta(self, arg1, arg2): load.os.path.isfile.return_value = True temp = defaultdict(list) temp['1004345262'] = \ 'TGTTGCGTTAACAACAAACCAACCTCCGACCCAAAACAAAGATGAAAATAAAAGATGCCACCCAAACGCCGACTAGTGGACAGCCCAGAAGATATGGAAGAAA' \ 'GATGCCACCCAAACGCCGACTAGTGGACAGCCCAGAAGATATGGAAGACGAGGGACCCTCTGACCGACCAACTCACCTACCCAAACTCCCAGGAACC' res_tuple = ( temp, { '1004345262': 'Viruses;ssRNA viruses;ssRNA negative-strand viruses;Mononegavirales;Bornaviridae;Bornavirus' } ) read_data = \ '>1004345262 Viruses;ssRNA viruses;ssRNA negative-strand viruses;Mononegavirales;Bornaviridae;Bornavirus' \ '\nTGTTGCGTTAACAACAAACCAACCTCCGACCCAAAACAAAGATGAAAATAAAAGATGCCACCCAAACGCCGACTAGTGGACAGCCCAGAAGATATGGAAG\n' \ 'AAAGATGCCACCCAAACGCCGACTAGTGGACAGCCCAGAAGATATGGAAGACGAGGGACCCTCTGACCGACCAACTCACCTACCCAAACTCCCAGGAACC\n' # https://www.biostars.org/p/190067/ with patch('VirClass.VirClass.load.gzip.open') as mocked_open: handle = MagicMock(spec=file_spec) handle.__enter__.return_value = StringIO(read_data) mocked_open.return_value = handle res = load.load_from_file_fasta('bla.bla') mocked_open.assert_called_once_with('bla.bla', 'rt') self.assertEqual(res, res_tuple) load.os.path.isfile.return_value = False load.load_seqs_from_ncbi.return_value = res_tuple with patch('VirClass.VirClass.load.gzip.open', mock_open(), create=True) as mocked_open: res = load.load_from_file_fasta('bla.bla') mocked_open.assert_called_once_with('bla.bla', 'wt') self.assertEqual(res, res_tuple) # @patch('VirClass.VirClass.load.seq_to_bits') def test_dataset_from_id(self): # data dict_1 = {"A": [1, 0, 0, 0], "T": [0, 1, 0, 0], "C": [0, 0, 1, 0], "G": [0, 0, 0, 1]} temp_data = defaultdict(list) temp_data['1004345262'] = \ 'TGTTGCGTTAACAACAAACCAACCTCCGACCCAAAACAAAGATGAAAATAAAAGATGCCACCCAAACGCCGACTAGTGGACAGCCCAGAAGATATGGAAGAAA' \ 'GATGCCACCCAAACGCCGACTAGTGGACAGCCCAGAAGATATGGAAGACGAGGGACCCTCTGACCGACCAACTCACCTACCCAAACTCCCAGGAACC' temp_data['10043452'] = \ 'GATGCCACCCAAACGCCGACTAGTGGACAGCCCAGAAGATATGGAAGACGAGGGACCCTCTGACCGACCAACTCACCTACCCAAACTCCCAGGAACC' \ 'TGTTGCGTTAACAACAAACCAACCTCCGACCCAAAACAAAGATGAAAATAAAAGATGCCACCCAAACGCCGACTAGTGGACAGCCCAGAAGATATGGA' temp_tax = {'10043452': 0, '1004345262': 1} ids = ['1004345262', '10043452'] # test1 expected_x = [ [0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1], [1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0], [0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0]] expected_y = [1, 1, 0] res = load.dataset_from_id(temp_data, temp_tax, ids, 100, 1.0, dict_1) self.assertTrue(res, (expected_x, expected_y)) # test2 res = load.dataset_from_id(defaultdict(list), {}, [], 100, 0.5, dict_1) self.assertTrue(res, ([], [])) # test3 expected_x2 = [ [0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1], [0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0]] expected_y2 = [1, 0] res = load.dataset_from_id(temp_data, temp_tax, ids, 100, 0.2, dict_1) self.assertTrue(res, (expected_x2, expected_y2)) # test4 expected_x20 = [ [0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0], [0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0], [0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1], [0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0], [0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0], [0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0], [0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0], [0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0], [1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1]] expected_y20 = [1, 1, 1, 1, 1, 0, 0, 0, 0, 0] res = load.dataset_from_id(temp_data, temp_tax, ids, 20, 0.5, dict_1) self.assertTrue(res, (expected_x20, expected_y20)) self.assertRaisesRegex(AssertionError, "Sampling size is in wrong range - it must be between 0.0 and 1.0.", load.dataset_from_id, temp_data, temp_tax, ids, 20, 20, dict_1) self.assertRaisesRegex(AssertionError, "Both transmission dictionary and unique nucleotides cannot be empty.", load.dataset_from_id, temp_data, temp_tax, ids, 20, 0.5, None) @patch('VirClass.VirClass.load.pickle.load') def test_load_dataset(self, mock_pickle_load): m_file = mock_open() with patch('VirClass.VirClass.load.gzip.open', m_file): load.load_dataset('bla.bla') self.assertEqual(mock_pickle_load.call_count, 1) self.assertTrue(m_file.called) m_file.assert_called_once_with('bla.bla', 'rt') @patch('VirClass.VirClass.load.pickle.dump') def test_save_dataset(self, mock_pickle_dump): m_file = mock_open() with patch('VirClass.VirClass.load.gzip.open', m_file): load.save_dataset('bla.bla', {'test_key': 'test_val'}) mock_pickle_dump.assert_called_once_with({'test_key': 'test_val'}, mock.ANY) self.assertTrue(m_file.called) m_file.assert_called_once_with('bla.bla', 'wt') def test_build_dataset_ids(self): oids = ['1006610892', '1021076629', '1023464444', '1028356461', '1028356384', '1006160387', '10086561', '1016776533', '1005739119', '10140926', '10313991', '1007626122', '1021076583', '10257473', '1021076642', '1004345262', '1002160105', '1023176908', '1007626112', '1024325226'] res = load.build_dataset_ids(oids=oids, test=0.2, seed=0) self.assertTrue(isinstance(res, dict)) self.assertEqual(len(res.keys()), 4) self.assertCountEqual(res.keys(), ['tr_ids', 'te_ids', 'trtr_ids', 'trte_ids']) self.assertEqual(len(res['tr_ids'] + res['te_ids']), len(oids)) self.assertCountEqual(res['tr_ids'] + res['te_ids'], oids) self.assertTrue(set(res['tr_ids']).isdisjoint(res['te_ids'])) self.assertEqual(len(res['trtr_ids'] + res['trte_ids']), len(res['tr_ids'])) self.assertCountEqual(res['trtr_ids'] + res['trte_ids'], res['tr_ids']) self.assertTrue(set(res['trtr_ids']).isdisjoint(res['trte_ids'])) self.assertRaisesRegex(ValueError, "test_size=1.000000 should be smaller than 1.0 or be an integer", load.build_dataset_ids, oids, 1.0, 0) datasets2 = {'tr_ids': [], 'te_ids': [], 'trte_ids': [], 'trtr_ids': []} res = load.build_dataset_ids([], test=0.2, seed=0) self.assertTrue(isinstance(res, dict)) self.assertDictEqual(res, datasets2) res = load.build_dataset_ids(oids, test=0.0, seed=0) self.assertTrue(isinstance(res, dict)) self.assertEqual(len(res.keys()), 4) self.assertCountEqual(res.keys(), ['tr_ids', 'te_ids', 'trtr_ids', 'trte_ids']) self.assertEqual(len(res['tr_ids'] + res['te_ids']), len(oids)) self.assertCountEqual(res['tr_ids'] + res['te_ids'], oids) self.assertTrue(set(res['tr_ids']).isdisjoint(res['te_ids'])) self.assertEqual(len(res['te_ids']), 0) self.assertEqual(len(res['tr_ids']), len(oids)) self.assertEqual(len(res['trtr_ids'] + res['trte_ids']), len(res['tr_ids'])) self.assertCountEqual(res['trtr_ids'] + res['trte_ids'], res['tr_ids']) self.assertTrue(set(res['trtr_ids']).isdisjoint(res['trte_ids'])) self.assertRaisesRegex(ValueError, "test_size=1.000000 should be smaller than 1.0 or be an integer", load.build_dataset_ids, oids, 1.0, 0) def test_classes_to_numerical(self): temp = defaultdict(list) temp['1004345262'] = \ 'TGTTGCGTTAACAACAAACCAACCTCCGACCCAAAACAAAGATGAAAATAAAAGATGCCACCCAAACGCCGACTAGTGGACAGCCCAGAAGATATGGAAGAAA' \ 'GATGCCACCCAAACGCCGACTAGTGGACAGCCCAGAAGATATGGAAGACGAGGGACCCTCTGACCGACCAACTCACCTACCCAAACTCCCAGGAACC' temp['10043452'] = \ 'GATGCCACCCAAACGCCGACTAGTGGACAGCCCAGAAGATATGGAAGACGAGGGACCCTCTGACCGACCAACTCACCTACCCAAACTCCCAGGAACC' \ 'TGTTGCGTTAACAACAAACCAACCTCCGACCCAAAACAAAGATGAAAATAAAAGATGCCACCCAAACGCCGACTAGTGGACAGCCCAGAAGATATGGA' temp['1023464444'] = \ 'AAACACAACAGGGCCTCAAGCCTGTCGCAAAAAGAACAGGTAACAACGACAGGAACGTGGCGGACGAGATACAGACCGGCACGTAAACCCAACCGACAC' \ 'ATCCAATATGGTACCCCTCATTGAACCACATAACACAACACAGGCCGCAACTCCGAATACGCATGACAATCACCAAGAATGGGCAAGCTCAATCGCAGCACTCATG' temp['1028356461'] = \ 'CCAATCCCGACCGGAATGGAGGTCCTGACAGGGTACTAAACCCAGTGTAGCGCCCACACGCAATCAGAACAAGACAAAAGCCCCCTAAACCCCACTCCGAAAA' \ 'GCGGACAAAAATCCAACCTCATACAAACAAACAAGGGCTAGATGCCAACAGGGACTGCCATCCAATGAGAATGTCCATAGGAGTCGAAACAAAGCCA' temp['1028356384'] = \ 'GAAGCCACCAGAAAGATAAGTGAAACAGTACACGAGCCCTAAACACAACGAATCTTCATAATAACCACCCGACTAAGCGACAAAACCACAGGAACCGACCC' \ 'AGACGAAAGCACCGACCAGTGATCACAACTCTTTCGAGGTCACACCCGGTACTACGTAAGTGCCACCATCGCAGCTAAGAGGGCACGCA' labels = {'1004345262': 'Viruses;ssRNA viruses;ssRNA negative-strand viruses;Mononegavirales;Bornaviridae;Bornavirus', '10043452': 'Viruses;ssRNA viruses;ssRNA positive-strand viruses;ViralesA;ViridaeB;VirusC', '1023464444': 'Viruses;ssDNA viruses;ssDNA negative-strand viruses;ViralesA;ViridaeB;VirusC', '1028356461': 'Viruses;ssDNA viruses;ssDNA negative-strand viruses;ViridaeB;VirusC', '1028356384': 'Viruses;ssDNA viruses;ssDNA negative-strand viruses;ViridaeB;VirusC'} res_temp = defaultdict(int) res_temp[0] = 195.0 res_temp[1] = 200.0 res_temp[2] = 205.0 res_temp[2] = 205.0 res_temp[2] = 195.0 res_expect = ({'10043452': 0, '1004345262': 1, '1023464444': 2, '1028356461': 3, '1028356384': 4}, res_temp) res = load.classes_to_numerical(temp, labels) self.assertTrue(res, res_expect) # try with empty res = load.classes_to_numerical(defaultdict(list), {}) self.assertTrue(res, ({}, defaultdict(int))) @patch('VirClass.VirClass.load.load_from_file_fasta') @patch('VirClass.VirClass.load.classes_to_numerical') @patch('VirClass.VirClass.load.build_dataset_ids') @patch('VirClass.VirClass.load.one_hot') @patch('VirClass.VirClass.load.os.path.join') @patch('VirClass.VirClass.load.dataset_from_id') @patch('VirClass.VirClass.load.pickle.dump') @patch('VirClass.VirClass.load.load_dataset') def test_load_data(self, load_dataset_mock, pickle_mock, dataset_mock, os_mock, one_hot_mock, arg2, arg3, arg4): self.assertRaisesRegex(AssertionError, "Test size is in wrong range - it must be between 0.0 and 1.0.", load.load_data, filename='a.fasta.gz', test=1.0) self.assertRaisesRegex(AssertionError, "Test size is in wrong range - it must be between 0.0 and 1.0.", load.load_data, filename='a.fasta.gz', test=-1.0) self.assertRaisesRegex(AssertionError, "Sampling size is in wrong range - it must be between 0.0 and 1.0.", load.load_data, filename='a.fasta.gz', sample=2.0) self.assertRaisesRegex(AssertionError, "Sampling size is in wrong range - it must be between 0.0 and 1.0.", load.load_data, filename='a.fasta.gz', sample=-1.0) self.assertRaisesRegex(AssertionError, "Currently supported suffixes is '.fasta.gz'.", load.load_data, filename='a.txt') self.assertRaisesRegex(AssertionError, "Both transmission dictionary and unique nucleotides cannot be empty.", load.load_data, filename='a.fasta.gz') temp = defaultdict(list) temp['1004345262'] = \ 'TGTTGCGTTAACAACAAACCAACCTCCGACCCAAAACAAAGATGAAAATAAAAGATGCCACCCAAACGCCGACTAGTGGACAGCCCAGAAGATATGGAAGAAA' \ 'GATGCCACCCAAACGCCGACTAGTGGACAGCCCAGAAGATATGGAAGACGAGGGACCCTCTGACCGACCAACTCACCTACCCAAACTCCCAGGAACC' temp['10043452'] = \ 'GATGCCACCCAAACGCCGACTAGTGGACAGCCCAGAAGATATGGAAGACGAGGGACCCTCTGACCGACCAACTCACCTACCCAAACTCCCAGGAACC' \ 'TGTTGCGTTAACAACAAACCAACCTCCGACCCAAAACAAAGATGAAAATAAAAGATGCCACCCAAACGCCGACTAGTGGACAGCCCAGAAGATATGGA' temp['1023464444'] = \ 'AAACACAACAGGGCCTCAAGCCTGTCGCAAAAAGAACAGGTAACAACGACAGGAACGTGGCGGACGAGATACAGACCGGCACGTAAACCCAACCGACAC' \ 'ATCCAATATGGTACCCCTCATTGAACCACATAACACAACACAGGCCGCAACTCCGAATACGCATGACAATCACCAAGAATGGGCAAGCTCAATCGCAGCACTCATG' temp['1028356461'] = \ 'CCAATCCCGACCGGAATGGAGGTCCTGACAGGGTACTAAACCCAGTGTAGCGCCCACACGCAATCAGAACAAGACAAAAGCCCCCTAAACCCCACTCCGAAAA' \ 'GCGGACAAAAATCCAACCTCATACAAACAAACAAGGGCTAGATGCCAACAGGGACTGCCATCCAATGAGAATGTCCATAGGAGTCGAAACAAAGCCA' temp['1028356384'] = \ 'GAAGCCACCAGAAAGATAAGTGAAACAGTACACGAGCCCTAAACACAACGAATCTTCATAATAACCACCCGACTAAGCGACAAAACCACAGGAACCGACCC' \ 'AGACGAAAGCACCGACCAGTGATCACAACTCTTTCGAGGTCACACCCGGTACTACGTAAGTGCCACCATCGCAGCTAAGAGGGCACGCA' labels_assert = {'1004345262': 'Viruses;ssRNA viruses;ssRNA negative-strand viruses;Mononegavirales;Bornaviridae;Bornavirus'} load.load_from_file_fasta.return_value = (temp, labels_assert) self.assertRaisesRegex(AssertionError, "When loading from fasta keys in data dictionary and labels dictionary must be same.", load.load_data, filename='a.fasta.gz', unique_nuc='ATCG') labels = {'1023464444': 'Viruses;ssDNA viruses;ssDNA negative-strand viruses;ViralesA;ViridaeB;VirusC', '1028356461': 'Viruses;ssDNA viruses;ssDNA negative-strand viruses;ViridaeB;VirusC', '10043452': 'Viruses;ssRNA viruses;ssRNA positive-strand viruses;ViralesA;ViridaeB;VirusC', '1028356384': 'Viruses;ssDNA viruses;ssDNA negative-strand viruses;ViridaeB;VirusC', '1004345262': 'Viruses;ssRNA viruses;ssRNA negative-strand viruses;Mononegavirales;Bornaviridae;Bornavirus'} load.load_from_file_fasta.return_value = (temp, labels) res_temp = defaultdict(int) res_temp[0] = 205.0 res_temp[1] = 200.0 res_temp[2] = 190.0 res_temp[3] = 197.5 classes_to_numerical_expected = ({'1023464444': 0, '1028356461': 1, '10043452': 2, '1028356384': 1, '1004345262': 3}, res_temp) load.classes_to_numerical.return_value = classes_to_numerical_expected load.build_dataset_ids.return_value = {'tr_ids': ['1004345262', '10043452', '1028356461', '1028356384'], 'te_ids': ['1023464444'], 'trtr_ids': ['10043452', '1028356461', '1004345262'], 'trte_ids': ['1028356384']} trans_dict = {"A": [1, 0, 0, 0], "T": [0, 1, 0, 0], "C": [0, 0, 1, 0], "G": [0, 0, 0, 1]} # load.dataset_from_id.return_value = {} dataset_expected = {'teX': [ [1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0]], 'teY': [0], 'trX': [ [0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0], [0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1]], 'trY': [3, 2, 1], 'trteX': [ [0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0]], 'trteY': [1]} dataset_mock.side_effect = [(dataset_expected['teX'], dataset_expected['teY']), (dataset_expected['trX'], dataset_expected['trY']), (dataset_expected['trteX'], dataset_expected['trteY'])] os_mock.side_effect = ['dummy', 'dummy', 'a-trX.fasta.gz', 'a-teX.fasta.gz', 'a-trY.fasta.gz', 'a-teY.fasta.gz', 'a-trteX.fasta.gz', 'a-trteY.fasta.gz'] # mock load_dataset without side effect # mock load_dataset with side effect IOError load_dataset_mock.side_effect = IOError() m_file = mock_open() with patch('VirClass.VirClass.load.gzip.open', m_file): res = load.load_data(filename='a.fasta.gz', trans_dict=trans_dict, onehot=False) self.assertEqual(m_file.call_count, 6) self.assertTrue(isinstance(res, tuple)) self.assertEqual(pickle_mock.call_count, 6) self.assertDictEqual(res[-1], res_temp) self.assertTrue(isinstance(res[-2], int)) for idx, dataset_name in enumerate(['trX', 'teX', 'trY', 'teY', 'trteX', 'trteY']): m_file.assert_any_call('a-' + dataset_name + '.fasta.gz', 'wt') pickle_mock.any_call(dataset_expected[dataset_name], mock.ANY) np.testing.assert_array_equal(res[idx], np.asarray(dataset_expected[dataset_name])) dataset_mock.side_effect = [(dataset_expected['teX'], dataset_expected['teY']), (dataset_expected['trX'], dataset_expected['trY']), (dataset_expected['trteX'], dataset_expected['trteY'])] os_mock.side_effect = ['dummy', 'dummy', 'a-trX.fasta.gz', 'a-teX.fasta.gz', 'a-trY.fasta.gz', 'a-teY.fasta.gz', 'a-trteX.fasta.gz', 'a-trteY.fasta.gz'] m_file.reset_mock() pickle_mock.reset_mock() one_hot_mock.side_effect = (np.array([[0, 0, 0, 1], [0, 0, 1, 0], [0, 1, 0, 0]]), np.array([[1, 0, 0, 0]]), np.array([[0, 1, 0, 0]])) dataset_expected['trY'] = np.array([[0, 0, 0, 1], [0, 0, 1, 0], [0, 1, 0, 0]]) dataset_expected['teY'] = np.array([[1, 0, 0, 0]]) dataset_expected['trteY'] = np.array([[0, 1, 0, 0]]) with patch('VirClass.VirClass.load.gzip.open', m_file): res = load.load_data(filename='a.fasta.gz', trans_dict=trans_dict, onehot=True) self.assertEqual(m_file.call_count, 6) self.assertTrue(isinstance(res, tuple)) self.assertEqual(pickle_mock.call_count, 6) self.assertDictEqual(res[-1], res_temp) self.assertTrue(isinstance(res[-2], int)) for idx, dataset_name in enumerate(['trX', 'teX', 'trY', 'teY', 'trteX', 'trteY']): m_file.assert_any_call('a-' + dataset_name + '.fasta.gz', 'wt') pickle_mock.any_call(dataset_expected[dataset_name], mock.ANY) np.testing.assert_array_equal(res[idx], np.asarray(dataset_expected[dataset_name])) if __name__ == '__main__': main()

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py

Python

firewood/models/gan/__init__.py

kynk94/torch-firewood

8ecd03c166bcadaae22a6cb2c1457a82f2c644eb

[ "MIT" ]

1

2022-03-26T12:51:27.000Z

firewood/models/gan/__init__.py

kynk94/torch-firewood

8ecd03c166bcadaae22a6cb2c1457a82f2c644eb

[ "MIT" ]

null

firewood/models/gan/__init__.py

kynk94/torch-firewood

8ecd03c166bcadaae22a6cb2c1457a82f2c644eb

[ "MIT" ]

null

from . import DCGAN, GAN, LSGAN, PGGAN, pix2pix, pix2pixHD __all__ = ["DCGAN", "GAN", "LSGAN", "PGGAN", "pix2pix", "pix2pixHD"]

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py

Python

systemdlint/systemdlint/conf/knownPaths.py

priv-kweihmann/systemdlint

d9909d2e2d970599bb2015e2a667d4debf063384

[ "BSD-2-Clause" ]

17

2019-06-10T00:40:04.000Z

2021-12-27T21:26:52.000Z

systemdlint/systemdlint/conf/knownPaths.py

priv-kweihmann/systemdlint

d9909d2e2d970599bb2015e2a667d4debf063384

[ "BSD-2-Clause" ]

53

2019-04-26T14:56:13.000Z

2021-12-21T09:52:05.000Z

systemdlint/systemdlint/conf/knownPaths.py

priv-kweihmann/systemdlint

d9909d2e2d970599bb2015e2a667d4debf063384

[ "BSD-2-Clause" ]

2

2020-05-28T11:20:41.000Z

2021-12-27T21:07:32.000Z

KNOWN_PATHS = [ "/etc/systemd/*", "/etc/systemd/**/*", "/lib/systemd/*", "/lib/systemd/**/*", "/run/systemd/*", "/run/systemd/**/*", "/usr/lib/systemd/*", "/usr/lib/systemd/**/*", ] KNOWN_DROPIN_PATHS = { "user.conf": [ "/etc/systemd/%unit%.d/*.conf", "/run/systemd/%unit%.d/*.conf", "/usr/lib/systemd/%unit%.d/*.conf", "/lib/systemd/%unit%.d/*.conf" ], "system.conf": [ "/etc/systemd/%unit%.d/*.conf", "/run/systemd/%unit%.d/*.conf", "/usr/lib/systemd/%unit%.d/*.conf", "/lib/systemd/%unit%.d/*.conf" ], ".service": [ "/etc/systemd/system/%unit%.d/*.conf", "/run/systemd/system/%unit%.d/*.conf", "/usr/lib/systemd/%unit%.d/*.conf", "/lib/systemd/%unit%.d/*.conf" ], ".target": [ "/etc/systemd/system/%unit%.d/*.conf", "/run/systemd/system/%unit%.d/*.conf", "/usr/lib/systemd/%unit%.d/*.conf", "/lib/systemd/%unit%.d/*.conf" ], ".mount": [ "/etc/systemd/system/%unit%.d/*.conf", "/run/systemd/system/%unit%.d/*.conf", "/usr/lib/systemd/%unit%.d/*.conf", "/lib/systemd/%unit%.d/*.conf" ], ".automount": [ "/etc/systemd/system/%unit%.d/*.conf", "/run/systemd/system/%unit%.d/*.conf", "/usr/lib/systemd/%unit%.d/*.conf", "/lib/systemd/%unit%.d/*.conf" ], ".device": [ "/etc/systemd/system/%unit%.d/*.conf", "/run/systemd/system/%unit%.d/*.conf", "/usr/lib/systemd/%unit%.d/*.conf", "/lib/systemd/%unit%.d/*.conf" ], ".swap": [ "/etc/systemd/system/%unit%.d/*.conf", "/run/systemd/system/%unit%.d/*.conf", "/usr/lib/systemd/%unit%.d/*.conf", "/lib/systemd/%unit%.d/*.conf" ], ".path": [ "/etc/systemd/system/%unit%.d/*.conf", "/run/systemd/system/%unit%.d/*.conf", "/usr/lib/systemd/%unit%.d/*.conf", "/lib/systemd/%unit%.d/*.conf" ], ".timer": [ "/etc/systemd/system/%unit%.d/*.conf", "/run/systemd/system/%unit%.d/*.conf", "/usr/lib/systemd/%unit%.d/*.conf", "/lib/systemd/%unit%.d/*.conf" ], ".scope": [ "/etc/systemd/system/%unit%.d/*.conf", "/run/systemd/system/%unit%.d/*.conf", "/usr/lib/systemd/%unit%.d/*.conf", "/lib/systemd/%unit%.d/*.conf" ], ".slice": [ "/etc/systemd/system/%unit%.d/*.conf", "/run/systemd/system/%unit%.d/*.conf", "/usr/lib/systemd/%unit%.d/*.conf", "/lib/systemd/%unit%.d/*.conf" ], ".network": [ "/etc/systemd/network/%unit%.d/*.conf", "/run/systemd/network/%unit%.d/*.conf", "/usr/lib/systemd/%unit%.d/*.conf", "/lib/systemd/%unit%.d/*.conf" ], ".netdev": [ "/etc/systemd/%unit%.d/*.conf", "/run/systemd/%unit%.d/*.conf", "/usr/lib/systemd/%unit%.d/*.conf", "/lib/systemd/%unit%.d/*.conf" ], "timesyncd.conf": [ "/etc/systemd/%unit%.d/*.conf", "/run/systemd/%unit%.d/*.conf", "/usr/lib/systemd/%unit%.d/*.conf", "/lib/systemd/%unit%.d/*.conf" ], "journald.conf": [ "/etc/systemd/%unit%.d/*.conf", "/run/systemd/%unit%.d/*.conf", "/usr/lib/systemd/%unit%.d/*.conf", "/lib/systemd/%unit%.d/*.conf" ], "journal-upload.conf": [ "/etc/systemd/%unit%.d/*.conf", "/run/systemd/%unit%.d/*.conf", "/usr/lib/systemd/%unit%.d/*.conf", "/lib/systemd/%unit%.d/*.conf" ], }

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0.428405

0.869616

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10

262876d8c6708b71339ea205054725268f995e0a

49

py

Python

torch_interpolations/__init__.py

sbarratt/torch_interpolations

91f0c9127dd20747daade34e96747426e2183fbf

[ "Apache-2.0" ]

84

2020-07-16T20:09:48.000Z

2021-12-13T17:29:20.000Z

torch_interpolations/__init__.py

sbarratt/torch_interpolations

91f0c9127dd20747daade34e96747426e2183fbf

[ "Apache-2.0" ]

3

2021-02-22T10:58:39.000Z

2021-06-18T16:15:32.000Z

torch_interpolations/__init__.py

sbarratt/torch_interpolations

91f0c9127dd20747daade34e96747426e2183fbf

[ "Apache-2.0" ]

8

2020-07-28T14:45:50.000Z

2021-12-21T09:16:45.000Z

from .multilinear import RegularGridInterpolator

24.5

48

0.897959

4

49

11

1

0

0.081633

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1

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0.977778

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true

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0

1

0

1

0

7

2633d6417a3f4e2a115b1dba314b45a11550f627

57,954

py

Python

biserici_inlemnite/biserici/migrations/0014_historicalcomponentaartistica_historicalfinisaj_historicalfinisajactualinvelitoare_historicalfinisaj.py

ck-tm/biserici-inlemnite

c9d12127b92f25d3ab2fcc7b4c386419fe308a4e

[ "MIT" ]

null

biserici_inlemnite/biserici/migrations/0014_historicalcomponentaartistica_historicalfinisaj_historicalfinisajactualinvelitoare_historicalfinisaj.py

ck-tm/biserici-inlemnite

c9d12127b92f25d3ab2fcc7b4c386419fe308a4e

[ "MIT" ]

null

biserici_inlemnite/biserici/migrations/0014_historicalcomponentaartistica_historicalfinisaj_historicalfinisajactualinvelitoare_historicalfinisaj.py

ck-tm/biserici-inlemnite

c9d12127b92f25d3ab2fcc7b4c386419fe308a4e

[ "MIT" ]

null

# Generated by Django 3.1.13 on 2021-07-30 12:54 from django.conf import settings from django.db import migrations, models import django.db.models.deletion import simple_history.models class Migration(migrations.Migration): dependencies = [ ('nomenclatoare', '0005_boltapestealtar_historicalboltapestealtar_historicaltipboltapestealtar_historicaltipboltapronaos_tip'), migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('biserici', '0013_auto_20210730_1553'), ] operations = [ migrations.CreateModel( name='HistoricalFotografii', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('biserica', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='biserici.biserica')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical fotografii', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='HistoricalFotografieTurn', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('poza', models.TextField(max_length=250)), ('detalii', models.TextField(blank=True, null=True)), ('copyright', models.CharField(blank=True, max_length=150, null=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('fotografii', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='biserici.fotografii')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical fotografie turn', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='HistoricalFotografieTalpa', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('poza', models.TextField(max_length=250)), ('detalii', models.TextField(blank=True, null=True)), ('copyright', models.CharField(blank=True, max_length=150, null=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('fotografii', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='biserici.fotografii')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical fotografie talpa', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='HistoricalFotografieStreasina', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('poza', models.TextField(max_length=250)), ('detalii', models.TextField(blank=True, null=True)), ('copyright', models.CharField(blank=True, max_length=150, null=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('fotografii', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='biserici.fotografii')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical fotografie streasina', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='HistoricalFotografiePortalPronaos', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('poza', models.TextField(max_length=250)), ('detalii', models.TextField(blank=True, null=True)), ('copyright', models.CharField(blank=True, max_length=150, null=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('fotografii', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='biserici.fotografii')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical fotografie portal pronaos', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='HistoricalFotografiePortalNaos', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('poza', models.TextField(max_length=250)), ('detalii', models.TextField(blank=True, null=True)), ('copyright', models.CharField(blank=True, max_length=150, null=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('fotografii', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='biserici.fotografii')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical fotografie portal naos', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='HistoricalFotografiePortal', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('poza', models.TextField(max_length=250)), ('detalii', models.TextField(blank=True, null=True)), ('copyright', models.CharField(blank=True, max_length=150, null=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('fotografii', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='biserici.fotografii')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical fotografie portal', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='HistoricalFotografiePisanieInscriptieCtitorMester', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('poza', models.TextField(max_length=250)), ('detalii', models.TextField(blank=True, null=True)), ('copyright', models.CharField(blank=True, max_length=150, null=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('fotografii', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='biserici.fotografii')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical fotografie pisanie inscriptie ctitor mester', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='HistoricalFotografieObiectCult', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('poza', models.TextField(max_length=250)), ('detalii', models.TextField(blank=True, null=True)), ('copyright', models.CharField(blank=True, max_length=150, null=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('fotografii', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='biserici.fotografii')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical fotografie obiect cult', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='HistoricalFotografieMobilierCandelabre', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('poza', models.TextField(max_length=250)), ('detalii', models.TextField(blank=True, null=True)), ('copyright', models.CharField(blank=True, max_length=150, null=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('fotografii', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='biserici.fotografii')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical fotografie mobilier candelabre', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='HistoricalFotografieInvelitoare', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('poza', models.TextField(max_length=250)), ('detalii', models.TextField(blank=True, null=True)), ('copyright', models.CharField(blank=True, max_length=150, null=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('fotografii', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='biserici.fotografii')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical fotografie invelitoare', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='HistoricalFotografieInteriorDesfasurat', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('poza', models.TextField(max_length=250)), ('detalii', models.TextField(blank=True, null=True)), ('copyright', models.CharField(blank=True, max_length=150, null=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('fotografii', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='biserici.fotografii')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical fotografie interior desfasurat', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='HistoricalFotografieIconostasNaos', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('poza', models.TextField(max_length=250)), ('detalii', models.TextField(blank=True, null=True)), ('copyright', models.CharField(blank=True, max_length=150, null=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('fotografii', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='biserici.fotografii')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical fotografie iconostas naos', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='HistoricalFotografieIconostasAltar', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('poza', models.TextField(max_length=250)), ('detalii', models.TextField(blank=True, null=True)), ('copyright', models.CharField(blank=True, max_length=150, null=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('fotografii', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='biserici.fotografii')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical fotografie iconostas altar', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='HistoricalFotografieIcoana', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('poza', models.TextField(max_length=250)), ('detalii', models.TextField(blank=True, null=True)), ('copyright', models.CharField(blank=True, max_length=150, null=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('fotografii', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='biserici.fotografii')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical fotografie icoana', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='HistoricalFotografieFereastra', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('poza', models.TextField(max_length=250)), ('detalii', models.TextField(blank=True, null=True)), ('copyright', models.CharField(blank=True, max_length=150, null=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('fotografii', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='biserici.fotografii')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical fotografie fereastra', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='HistoricalFotografieFatada', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('poza', models.TextField(max_length=250)), ('detalii', models.TextField(blank=True, null=True)), ('copyright', models.CharField(blank=True, max_length=150, null=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('fotografii', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='biserici.fotografii')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical fotografie fatada', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='HistoricalFotografieDetaliuPod', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('poza', models.TextField(max_length=250)), ('detalii', models.TextField(blank=True, null=True)), ('copyright', models.CharField(blank=True, max_length=150, null=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('detaliu', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='nomenclatoare.detaliupodturn')), ('fotografii', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='biserici.fotografii')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical fotografie detaliu pod', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='HistoricalFotografieDetaliuBolta', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('poza', models.TextField(max_length=250)), ('detalii', models.TextField(blank=True, null=True)), ('copyright', models.CharField(blank=True, max_length=150, null=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('fotografii', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='biserici.fotografii')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical fotografie detaliu bolta', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='HistoricalFotografieDegradariPod', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('poza', models.TextField(max_length=250)), ('detalii', models.TextField(blank=True, null=True)), ('copyright', models.CharField(blank=True, max_length=150, null=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('fotografii', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='biserici.fotografii')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical fotografie degradari pod', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='HistoricalFotografieDegradariInterior', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('poza', models.TextField(max_length=250)), ('detalii', models.TextField(blank=True, null=True)), ('copyright', models.CharField(blank=True, max_length=150, null=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('fotografii', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='biserici.fotografii')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical fotografie degradari interior', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='HistoricalFotografieDegradariExterioare', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('poza', models.TextField(max_length=250)), ('detalii', models.TextField(blank=True, null=True)), ('copyright', models.CharField(blank=True, max_length=150, null=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('fotografii', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='biserici.fotografii')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical fotografie degradari exterioare', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='HistoricalFotografieCruceBiserica', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('poza', models.TextField(max_length=250)), ('detalii', models.TextField(blank=True, null=True)), ('copyright', models.CharField(blank=True, max_length=150, null=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('fotografii', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='biserici.fotografii')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical fotografie cruce biserica', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='HistoricalFotografieCheotoar', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('poza', models.TextField(max_length=250)), ('detalii', models.TextField(blank=True, null=True)), ('copyright', models.CharField(blank=True, max_length=150, null=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('fotografii', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='biserici.fotografii')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical fotografie cheotoar', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='HistoricalFotografieAnsamblu', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('poza', models.TextField(max_length=250)), ('detalii', models.TextField(blank=True, null=True)), ('copyright', models.CharField(blank=True, max_length=150, null=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('fotografii', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='biserici.fotografii')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical fotografie ansamblu', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='HistoricalFinisajTavan', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('observatii', models.TextField(blank=True, null=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('element', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='nomenclatoare.elementbiserica')), ('finisaj', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='biserici.finisaj')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ('material', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='nomenclatoare.finisaj')), ], options={ 'verbose_name': 'historical finisaj tavan', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='HistoricalFinisajTamburTurn', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('sindrila_lungime', models.IntegerField(blank=True, null=True)), ('sindrila_latime_medie', models.IntegerField(blank=True, null=True)), ('sindrila_grosime_medie', models.IntegerField(blank=True, null=True)), ('sindrila_pasul_latuirii', models.IntegerField(blank=True, null=True)), ('sindrila_pasul_baterii', models.IntegerField(blank=True, null=True)), ('sindrila_numar_straturi', models.IntegerField(blank=True, null=True)), ('sindrila_cu_horj', models.BooleanField(default=False)), ('sindrila_cu_tesitura', models.BooleanField(default=False)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('finisaj', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='biserici.finisaj')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ('material', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='nomenclatoare.finisajexterior')), ('sindrlia_esenta_lemnoasa', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='nomenclatoare.esentalemnoasa')), ('sindrlia_forma_botului', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='nomenclatoare.tipbotsindrila')), ('sindrlia_prelucrare', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='nomenclatoare.tipprelucraresindrila')), ('sindrlia_tipul_de_batere', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='nomenclatoare.tipbateresindrila')), ('sindrlia_tipul_prindere', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='nomenclatoare.tipprinderesindrila')), ], options={ 'verbose_name': 'historical finisaj tambur turn', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='HistoricalFinisajPeretiInterior', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('observatii', models.TextField(blank=True, null=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('element', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='nomenclatoare.elementbiserica')), ('finisaj', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='biserici.finisaj')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ('material', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='nomenclatoare.materialfinisajperetiinteriori')), ], options={ 'verbose_name': 'historical finisaj pereti interior', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='HistoricalFinisajPardosea', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('observatii', models.TextField(blank=True, null=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('element', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='nomenclatoare.elementbiserica')), ('finisaj', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='biserici.finisaj')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ('material', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='nomenclatoare.materialfinisajpardoseli')), ], options={ 'verbose_name': 'historical finisaj pardosea', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='HistoricalFinisajInvelitoareTurn', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('sindrila_lungime', models.IntegerField(blank=True, null=True)), ('sindrila_latime_medie', models.IntegerField(blank=True, null=True)), ('sindrila_grosime_medie', models.IntegerField(blank=True, null=True)), ('sindrila_pasul_latuirii', models.IntegerField(blank=True, null=True)), ('sindrila_pasul_baterii', models.IntegerField(blank=True, null=True)), ('sindrila_numar_straturi', models.IntegerField(blank=True, null=True)), ('sindrila_cu_horj', models.BooleanField(default=False)), ('sindrila_cu_tesitura', models.BooleanField(default=False)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('finisaj', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='biserici.finisaj')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ('material', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='nomenclatoare.finisajexterior')), ('sindrlia_esenta_lemnoasa', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='nomenclatoare.esentalemnoasa')), ('sindrlia_forma_botului', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='nomenclatoare.tipbotsindrila')), ('sindrlia_prelucrare', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='nomenclatoare.tipprelucraresindrila')), ('sindrlia_tipul_de_batere', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='nomenclatoare.tipbateresindrila')), ('sindrlia_tipul_prindere', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='nomenclatoare.tipprinderesindrila')), ], options={ 'verbose_name': 'historical finisaj invelitoare turn', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='HistoricalFinisajBolti', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('observatii', models.TextField(blank=True, null=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('element', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='nomenclatoare.elementbiserica')), ('finisaj', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='biserici.finisaj')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ('material', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='nomenclatoare.finisaj')), ], options={ 'verbose_name': 'historical finisaj bolti', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='HistoricalFinisajAnteriorInvelitoare', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('etape_anterioare_vizibile', models.BooleanField(default=False)), ('sindrila_pasul_latuirii', models.IntegerField(blank=True, null=True)), ('sindrila_numar_straturi', models.IntegerField(blank=True, null=True)), ('sindrila_cu_horj', models.BooleanField(default=False)), ('sindrila_cu_tesitura', models.BooleanField(default=False)), ('alte_tipuri_invelitoare', models.TextField(blank=True, null=True)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('finisaj', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='biserici.finisaj')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ('sindrlia_esenta_lemnoasa', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='nomenclatoare.esentalemnoasa')), ('sindrlia_forma_botului', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='nomenclatoare.tipbotsindrila')), ('sindrlia_tipul_de_batere', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='nomenclatoare.tipbateresindrila')), ], options={ 'verbose_name': 'historical finisaj anterior invelitoare', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='HistoricalFinisajActualInvelitoare', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('sindrila_lungime', models.IntegerField(blank=True, null=True)), ('sindrila_latime_medie', models.IntegerField(blank=True, null=True)), ('sindrila_grosime_medie', models.IntegerField(blank=True, null=True)), ('sindrila_pasul_latuirii', models.IntegerField(blank=True, null=True)), ('sindrila_pasul_baterii', models.IntegerField(blank=True, null=True)), ('sindrila_numar_straturi', models.IntegerField(blank=True, null=True)), ('sindrila_cu_horj', models.BooleanField(default=False)), ('sindrila_cu_tesitura', models.BooleanField(default=False)), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('finisaj', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='biserici.finisaj')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ('material', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='nomenclatoare.finisajexterior')), ('sindrlia_esenta_lemnoasa', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='nomenclatoare.esentalemnoasa')), ('sindrlia_forma_botului', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='nomenclatoare.tipbotsindrila')), ('sindrlia_prelucrare', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='nomenclatoare.tipprelucraresindrila')), ('sindrlia_tipul_de_batere', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='nomenclatoare.tipbateresindrila')), ('sindrlia_tipul_prindere', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='nomenclatoare.tipprinderesindrila')), ], options={ 'verbose_name': 'historical finisaj actual invelitoare', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='HistoricalFinisaj', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('biserica', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='biserici.biserica')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical finisaj', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name='HistoricalComponentaArtistica', fields=[ ('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')), ('history_id', models.AutoField(primary_key=True, serialize=False)), ('history_date', models.DateTimeField()), ('history_change_reason', models.CharField(max_length=100, null=True)), ('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)), ('biserica', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='biserici.biserica')), ('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name': 'historical componenta artistica', 'ordering': ('-history_date', '-history_id'), 'get_latest_by': 'history_date', }, bases=(simple_history.models.HistoricalChanges, models.Model), ), ]

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263ff7947eb09a018892e094c9af6c1727b618b1

4,938

py

Python

py-rest-client/test/test_product_relations_api.py

ausseabed/product-catalogue

3deca0301298efe22d7b61028683254ac3bd3c66

[ "Apache-2.0" ]

null

py-rest-client/test/test_product_relations_api.py

ausseabed/product-catalogue

3deca0301298efe22d7b61028683254ac3bd3c66

[ "Apache-2.0" ]

4

2022-02-13T10:48:44.000Z

2022-03-02T21:22:04.000Z

py-rest-client/test/test_product_relations_api.py

ausseabed/product-catalogue

3deca0301298efe22d7b61028683254ac3bd3c66

[ "Apache-2.0" ]

null

# coding: utf-8 """ AusSeabed product catalogue The API description for the Ausseabed product catalogue inventory # noqa: E501 The version of the OpenAPI document: 0.2.2 Contact: AusSeabed@ga.gov.au Generated by: https://openapi-generator.tech """ from __future__ import absolute_import import unittest import product_catalogue_py_rest_client from product_catalogue_py_rest_client.api.product_relations_api import ProductRelationsApi # noqa: E501 from product_catalogue_py_rest_client.rest import ApiException class TestProductRelationsApi(unittest.TestCase): """ProductRelationsApi unit test stubs""" def setUp(self): self.api = product_catalogue_py_rest_client.api.product_relations_api.ProductRelationsApi() # noqa: E501 def tearDown(self): pass def test_product_relations_controller_create_compilation(self): """Test case for product_relations_controller_create_compilation """ pass def test_product_relations_controller_create_l0_survey(self): """Test case for product_relations_controller_create_l0_survey """ pass def test_product_relations_controller_create_l2_survey(self): """Test case for product_relations_controller_create_l2_survey """ pass def test_product_relations_controller_create_l3_survey(self): """Test case for product_relations_controller_create_l3_survey """ pass def test_product_relations_controller_delete_compilation(self): """Test case for product_relations_controller_delete_compilation """ pass def test_product_relations_controller_delete_l0_survey(self): """Test case for product_relations_controller_delete_l0_survey """ pass def test_product_relations_controller_delete_l2_survey(self): """Test case for product_relations_controller_delete_l2_survey """ pass def test_product_relations_controller_delete_l3_survey(self): """Test case for product_relations_controller_delete_l3_survey """ pass def test_product_relations_controller_find_all_l0_survey(self): """Test case for product_relations_controller_find_all_l0_survey """ pass def test_product_relations_controller_find_all_l2_survey(self): """Test case for product_relations_controller_find_all_l2_survey """ pass def test_product_relations_controller_find_all_l3_compilation(self): """Test case for product_relations_controller_find_all_l3_compilation """ pass def test_product_relations_controller_find_all_l3_survey(self): """Test case for product_relations_controller_find_all_l3_survey """ pass def test_product_relations_controller_find_conditional_compilation(self): """Test case for product_relations_controller_find_conditional_compilation """ pass def test_product_relations_controller_find_conditional_l0_survey(self): """Test case for product_relations_controller_find_conditional_l0_survey """ pass def test_product_relations_controller_find_conditional_l2_survey(self): """Test case for product_relations_controller_find_conditional_l2_survey """ pass def test_product_relations_controller_find_conditional_l3_survey(self): """Test case for product_relations_controller_find_conditional_l3_survey """ pass def test_product_relations_controller_find_one_compilation(self): """Test case for product_relations_controller_find_one_compilation """ pass def test_product_relations_controller_find_one_l0_survey(self): """Test case for product_relations_controller_find_one_l0_survey """ pass def test_product_relations_controller_find_one_l2_survey(self): """Test case for product_relations_controller_find_one_l2_survey """ pass def test_product_relations_controller_find_one_l3_survey(self): """Test case for product_relations_controller_find_one_l3_survey """ pass def test_product_relations_controller_update_compilation(self): """Test case for product_relations_controller_update_compilation """ pass def test_product_relations_controller_update_l0_survey(self): """Test case for product_relations_controller_update_l0_survey """ pass def test_product_relations_controller_update_l2_survey(self): """Test case for product_relations_controller_update_l2_survey """ pass def test_product_relations_controller_update_l3_survey(self): """Test case for product_relations_controller_update_l3_survey """ pass if __name__ == '__main__': unittest.main()

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cd1aa872b14f15c69687b69d62736a5238558024

118

py

Python

backend/test/test_factory.py

lkoehl/doppelkopf

fe80fc10cd8296da2a4ab97afb502eb69e50fb9b

[ "MIT" ]

38

2018-02-14T19:28:00.000Z

2022-03-30T07:28:12.000Z

backend/test/test_factory.py

lkoehl/doppelkopf

fe80fc10cd8296da2a4ab97afb502eb69e50fb9b

[ "MIT" ]

57

2018-10-01T10:54:32.000Z

2022-02-08T23:26:40.000Z

backend/test/test_factory.py

AlexRogalskiy/doppelkopf

cbfc95d56f102ab8e01e194603e9f4abf09e2e14

[ "MIT" ]

11

2018-12-17T17:02:31.000Z

2022-03-10T17:47:07.000Z

from doppelkopf import create_app def test_config(): assert create_app({"FOO": True}).config.get("FOO") is True

19.666667

62

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118

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0.144068

118

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63

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0

1

0

1

0

7

cd842c2ca02a5f1b522ae7b08d2e31e5a695360e

132,117

py

Python

utools/maya/widgets/validator_res.py

theiviaxx/utools

6501e52ad77edb2beab8f33028460f32b3231b80

[ "BSD-3-Clause" ]

1

2019-09-25T22:47:02.000Z

utools/maya/widgets/validator_res.py

theiviaxx/utools

6501e52ad77edb2beab8f33028460f32b3231b80

[ "BSD-3-Clause" ]

4

2015-12-16T22:14:59.000Z

2015-12-16T22:18:04.000Z

utools/maya/widgets/validator_res.py

theiviaxx/utools

6501e52ad77edb2beab8f33028460f32b3231b80

[ "BSD-3-Clause" ]

null

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qt_resource_struct = "\x00\x00\x00\x00\x00\x02\x00\x00\x00\x01\x00\x00\x00\x01\x00\x00\x00\x00\x00\x02\x00\x00\x00\x01\x00\x00\x00\x02\x00\x00\x00\x0a\x00\x02\x00\x00\x00\x0e\x00\x00\x00\x03\x00\x00\x00\xb8\x00\x00\x00\x00\x00\x01\x00\x00J\x0e\x00\x00\x02\xc8\x00\x00\x00\x00\x00\x01\x00\x01\x1d\xd8\x00\x00\x00\x16\x00\x00\x00\x00\x00\x01\x00\x00\x00\x00\x00\x00\x03v\x00\x00\x00\x00\x00\x01\x00\x01gF\x00\x00\x00\xf4\x00\x00\x00\x00\x00\x01\x00\x00\x85&\x00\x00\x01,\x00\x00\x00\x00\x00\x01\x00\x00\x85\xf1\x00\x00\x01|\x00\x00\x00\x00\x00\x01\x00\x00\xd2\x03\x00\x00\x00Z\x00\x00\x00\x00\x00\x01\x00\x00I\x93\x00\x00\x02\x04\x00\x00\x00\x00\x00\x01\x00\x00\xd3q\x00\x00\x01\xbe\x00\x00\x00\x00\x00\x01\x00\x00\xd2\xb7\x00\x00\x02\x84\x00\x00\x00\x00\x00\x01\x00\x00\xd5\xa9\x00\x00\x03\x00\x00\x00\x00\x00\x00\x01\x00\x01\x1e6\x00\x00\x03>\x00\x00\x00\x00\x00\x01\x00\x01\x1f\xa6\x00\x00\x02J\x00\x00\x00\x00\x00\x01\x00\x00\xd3\xf6" def qInitResources(): QtCore.qRegisterResourceData(0x01, qt_resource_struct, qt_resource_name, qt_resource_data) def qCleanupResources(): QtCore.qUnregisterResourceData(0x01, qt_resource_struct, qt_resource_name, qt_resource_data) qInitResources()

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null

0

1

0

12

f80d5cbf2b1f4889eea1ac62ad358942a56d009b

159

py

Python

20.py

lycantropos/Project-Euler

df6c5a7e118ddd3fe3c39f4b30ad57e7d3ea853b

[ "MIT" ]

null

20.py

lycantropos/Project-Euler

df6c5a7e118ddd3fe3c39f4b30ad57e7d3ea853b

[ "MIT" ]

null

20.py

lycantropos/Project-Euler

df6c5a7e118ddd3fe3c39f4b30ad57e7d3ea853b

[ "MIT" ]

null

from math import factorial from utils import number_digits_sum assert number_digits_sum(factorial(10)) == 27 assert number_digits_sum(factorial(100)) == 648

22.714286

47

0.811321

24

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f8c3cfe8db41db2f97039670240b422982c9671f

28,200

py

Python

sdk/python/pulumi_yandex/lb_network_load_balancer.py

pulumi/pulumi-yandex

559a0c82fd2b834bb5f1dc3abbf0dab689b13a3e

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

9

2021-04-20T15:39:41.000Z

2022-02-20T09:14:39.000Z

sdk/python/pulumi_yandex/lb_network_load_balancer.py

pulumi/pulumi-yandex

559a0c82fd2b834bb5f1dc3abbf0dab689b13a3e

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

56

2021-04-20T11:31:03.000Z

2022-03-31T15:53:06.000Z

sdk/python/pulumi_yandex/lb_network_load_balancer.py

pulumi/pulumi-yandex

559a0c82fd2b834bb5f1dc3abbf0dab689b13a3e

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

null

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from . import _utilities from . import outputs from ._inputs import * __all__ = ['LbNetworkLoadBalancerArgs', 'LbNetworkLoadBalancer'] @pulumi.input_type class LbNetworkLoadBalancerArgs: def __init__(__self__, *, attached_target_groups: Optional[pulumi.Input[Sequence[pulumi.Input['LbNetworkLoadBalancerAttachedTargetGroupArgs']]]] = None, description: Optional[pulumi.Input[str]] = None, folder_id: Optional[pulumi.Input[str]] = None, labels: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, listeners: Optional[pulumi.Input[Sequence[pulumi.Input['LbNetworkLoadBalancerListenerArgs']]]] = None, name: Optional[pulumi.Input[str]] = None, region_id: Optional[pulumi.Input[str]] = None, type: Optional[pulumi.Input[str]] = None): """ The set of arguments for constructing a LbNetworkLoadBalancer resource. :param pulumi.Input[Sequence[pulumi.Input['LbNetworkLoadBalancerAttachedTargetGroupArgs']]] attached_target_groups: An AttachedTargetGroup resource. The structure is documented below. :param pulumi.Input[str] description: An optional description of the network load balancer. Provide this property when you create the resource. :param pulumi.Input[str] folder_id: The ID of the folder to which the resource belongs. If omitted, the provider folder is used. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] labels: Labels to assign to this network load balancer. A list of key/value pairs. :param pulumi.Input[Sequence[pulumi.Input['LbNetworkLoadBalancerListenerArgs']]] listeners: Listener specification that will be used by a network load balancer. The structure is documented below. :param pulumi.Input[str] name: Name of the listener. The name must be unique for each listener on a single load balancer. :param pulumi.Input[str] region_id: ID of the availability zone where the network load balancer resides. The default is 'ru-central1'. :param pulumi.Input[str] type: Type of the network load balancer. Must be one of 'external' or 'internal'. The default is 'external'. """ if attached_target_groups is not None: pulumi.set(__self__, "attached_target_groups", attached_target_groups) if description is not None: pulumi.set(__self__, "description", description) if folder_id is not None: pulumi.set(__self__, "folder_id", folder_id) if labels is not None: pulumi.set(__self__, "labels", labels) if listeners is not None: pulumi.set(__self__, "listeners", listeners) if name is not None: pulumi.set(__self__, "name", name) if region_id is not None: pulumi.set(__self__, "region_id", region_id) if type is not None: pulumi.set(__self__, "type", type) @property @pulumi.getter(name="attachedTargetGroups") def attached_target_groups(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['LbNetworkLoadBalancerAttachedTargetGroupArgs']]]]: """ An AttachedTargetGroup resource. The structure is documented below. """ return pulumi.get(self, "attached_target_groups") @attached_target_groups.setter def attached_target_groups(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['LbNetworkLoadBalancerAttachedTargetGroupArgs']]]]): pulumi.set(self, "attached_target_groups", value) @property @pulumi.getter def description(self) -> Optional[pulumi.Input[str]]: """ An optional description of the network load balancer. Provide this property when you create the resource. """ return pulumi.get(self, "description") @description.setter def description(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "description", value) @property @pulumi.getter(name="folderId") def folder_id(self) -> Optional[pulumi.Input[str]]: """ The ID of the folder to which the resource belongs. If omitted, the provider folder is used. """ return pulumi.get(self, "folder_id") @folder_id.setter def folder_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "folder_id", value) @property @pulumi.getter def labels(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]: """ Labels to assign to this network load balancer. A list of key/value pairs. """ return pulumi.get(self, "labels") @labels.setter def labels(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]): pulumi.set(self, "labels", value) @property @pulumi.getter def listeners(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['LbNetworkLoadBalancerListenerArgs']]]]: """ Listener specification that will be used by a network load balancer. The structure is documented below. """ return pulumi.get(self, "listeners") @listeners.setter def listeners(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['LbNetworkLoadBalancerListenerArgs']]]]): pulumi.set(self, "listeners", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ Name of the listener. The name must be unique for each listener on a single load balancer. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter(name="regionId") def region_id(self) -> Optional[pulumi.Input[str]]: """ ID of the availability zone where the network load balancer resides. The default is 'ru-central1'. """ return pulumi.get(self, "region_id") @region_id.setter def region_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "region_id", value) @property @pulumi.getter def type(self) -> Optional[pulumi.Input[str]]: """ Type of the network load balancer. Must be one of 'external' or 'internal'. The default is 'external'. """ return pulumi.get(self, "type") @type.setter def type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "type", value) @pulumi.input_type class _LbNetworkLoadBalancerState: def __init__(__self__, *, attached_target_groups: Optional[pulumi.Input[Sequence[pulumi.Input['LbNetworkLoadBalancerAttachedTargetGroupArgs']]]] = None, created_at: Optional[pulumi.Input[str]] = None, description: Optional[pulumi.Input[str]] = None, folder_id: Optional[pulumi.Input[str]] = None, labels: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, listeners: Optional[pulumi.Input[Sequence[pulumi.Input['LbNetworkLoadBalancerListenerArgs']]]] = None, name: Optional[pulumi.Input[str]] = None, region_id: Optional[pulumi.Input[str]] = None, type: Optional[pulumi.Input[str]] = None): """ Input properties used for looking up and filtering LbNetworkLoadBalancer resources. :param pulumi.Input[Sequence[pulumi.Input['LbNetworkLoadBalancerAttachedTargetGroupArgs']]] attached_target_groups: An AttachedTargetGroup resource. The structure is documented below. :param pulumi.Input[str] created_at: The network load balancer creation timestamp. :param pulumi.Input[str] description: An optional description of the network load balancer. Provide this property when you create the resource. :param pulumi.Input[str] folder_id: The ID of the folder to which the resource belongs. If omitted, the provider folder is used. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] labels: Labels to assign to this network load balancer. A list of key/value pairs. :param pulumi.Input[Sequence[pulumi.Input['LbNetworkLoadBalancerListenerArgs']]] listeners: Listener specification that will be used by a network load balancer. The structure is documented below. :param pulumi.Input[str] name: Name of the listener. The name must be unique for each listener on a single load balancer. :param pulumi.Input[str] region_id: ID of the availability zone where the network load balancer resides. The default is 'ru-central1'. :param pulumi.Input[str] type: Type of the network load balancer. Must be one of 'external' or 'internal'. The default is 'external'. """ if attached_target_groups is not None: pulumi.set(__self__, "attached_target_groups", attached_target_groups) if created_at is not None: pulumi.set(__self__, "created_at", created_at) if description is not None: pulumi.set(__self__, "description", description) if folder_id is not None: pulumi.set(__self__, "folder_id", folder_id) if labels is not None: pulumi.set(__self__, "labels", labels) if listeners is not None: pulumi.set(__self__, "listeners", listeners) if name is not None: pulumi.set(__self__, "name", name) if region_id is not None: pulumi.set(__self__, "region_id", region_id) if type is not None: pulumi.set(__self__, "type", type) @property @pulumi.getter(name="attachedTargetGroups") def attached_target_groups(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['LbNetworkLoadBalancerAttachedTargetGroupArgs']]]]: """ An AttachedTargetGroup resource. The structure is documented below. """ return pulumi.get(self, "attached_target_groups") @attached_target_groups.setter def attached_target_groups(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['LbNetworkLoadBalancerAttachedTargetGroupArgs']]]]): pulumi.set(self, "attached_target_groups", value) @property @pulumi.getter(name="createdAt") def created_at(self) -> Optional[pulumi.Input[str]]: """ The network load balancer creation timestamp. """ return pulumi.get(self, "created_at") @created_at.setter def created_at(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "created_at", value) @property @pulumi.getter def description(self) -> Optional[pulumi.Input[str]]: """ An optional description of the network load balancer. Provide this property when you create the resource. """ return pulumi.get(self, "description") @description.setter def description(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "description", value) @property @pulumi.getter(name="folderId") def folder_id(self) -> Optional[pulumi.Input[str]]: """ The ID of the folder to which the resource belongs. If omitted, the provider folder is used. """ return pulumi.get(self, "folder_id") @folder_id.setter def folder_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "folder_id", value) @property @pulumi.getter def labels(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]: """ Labels to assign to this network load balancer. A list of key/value pairs. """ return pulumi.get(self, "labels") @labels.setter def labels(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]): pulumi.set(self, "labels", value) @property @pulumi.getter def listeners(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['LbNetworkLoadBalancerListenerArgs']]]]: """ Listener specification that will be used by a network load balancer. The structure is documented below. """ return pulumi.get(self, "listeners") @listeners.setter def listeners(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['LbNetworkLoadBalancerListenerArgs']]]]): pulumi.set(self, "listeners", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ Name of the listener. The name must be unique for each listener on a single load balancer. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter(name="regionId") def region_id(self) -> Optional[pulumi.Input[str]]: """ ID of the availability zone where the network load balancer resides. The default is 'ru-central1'. """ return pulumi.get(self, "region_id") @region_id.setter def region_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "region_id", value) @property @pulumi.getter def type(self) -> Optional[pulumi.Input[str]]: """ Type of the network load balancer. Must be one of 'external' or 'internal'. The default is 'external'. """ return pulumi.get(self, "type") @type.setter def type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "type", value) class LbNetworkLoadBalancer(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, attached_target_groups: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['LbNetworkLoadBalancerAttachedTargetGroupArgs']]]]] = None, description: Optional[pulumi.Input[str]] = None, folder_id: Optional[pulumi.Input[str]] = None, labels: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, listeners: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['LbNetworkLoadBalancerListenerArgs']]]]] = None, name: Optional[pulumi.Input[str]] = None, region_id: Optional[pulumi.Input[str]] = None, type: Optional[pulumi.Input[str]] = None, __props__=None): """ Creates a network load balancer in the specified folder using the data specified in the config. For more information, see [the official documentation](https://cloud.yandex.com/docs/load-balancer/concepts). ## Example Usage ```python import pulumi import pulumi_yandex as yandex foo = yandex.LbNetworkLoadBalancer("foo", attached_target_groups=[yandex.LbNetworkLoadBalancerAttachedTargetGroupArgs( healthchecks=[yandex.LbNetworkLoadBalancerAttachedTargetGroupHealthcheckArgs( http_options=yandex.LbNetworkLoadBalancerAttachedTargetGroupHealthcheckHttpOptionsArgs( path="/ping", port=8080, ), name="http", )], target_group_id=yandex_lb_target_group["my-target-group"]["id"], )], listeners=[yandex.LbNetworkLoadBalancerListenerArgs( external_address_spec=yandex.LbNetworkLoadBalancerListenerExternalAddressSpecArgs( ip_version="ipv4", ), name="my-listener", port=8080, )]) ``` ## Import A network load balancer can be imported using the `id` of the resource, e.g. ```sh $ pulumi import yandex:index/lbNetworkLoadBalancer:LbNetworkLoadBalancer default network_load_balancer_id ``` :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['LbNetworkLoadBalancerAttachedTargetGroupArgs']]]] attached_target_groups: An AttachedTargetGroup resource. The structure is documented below. :param pulumi.Input[str] description: An optional description of the network load balancer. Provide this property when you create the resource. :param pulumi.Input[str] folder_id: The ID of the folder to which the resource belongs. If omitted, the provider folder is used. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] labels: Labels to assign to this network load balancer. A list of key/value pairs. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['LbNetworkLoadBalancerListenerArgs']]]] listeners: Listener specification that will be used by a network load balancer. The structure is documented below. :param pulumi.Input[str] name: Name of the listener. The name must be unique for each listener on a single load balancer. :param pulumi.Input[str] region_id: ID of the availability zone where the network load balancer resides. The default is 'ru-central1'. :param pulumi.Input[str] type: Type of the network load balancer. Must be one of 'external' or 'internal'. The default is 'external'. """ ... @overload def __init__(__self__, resource_name: str, args: Optional[LbNetworkLoadBalancerArgs] = None, opts: Optional[pulumi.ResourceOptions] = None): """ Creates a network load balancer in the specified folder using the data specified in the config. For more information, see [the official documentation](https://cloud.yandex.com/docs/load-balancer/concepts). ## Example Usage ```python import pulumi import pulumi_yandex as yandex foo = yandex.LbNetworkLoadBalancer("foo", attached_target_groups=[yandex.LbNetworkLoadBalancerAttachedTargetGroupArgs( healthchecks=[yandex.LbNetworkLoadBalancerAttachedTargetGroupHealthcheckArgs( http_options=yandex.LbNetworkLoadBalancerAttachedTargetGroupHealthcheckHttpOptionsArgs( path="/ping", port=8080, ), name="http", )], target_group_id=yandex_lb_target_group["my-target-group"]["id"], )], listeners=[yandex.LbNetworkLoadBalancerListenerArgs( external_address_spec=yandex.LbNetworkLoadBalancerListenerExternalAddressSpecArgs( ip_version="ipv4", ), name="my-listener", port=8080, )]) ``` ## Import A network load balancer can be imported using the `id` of the resource, e.g. ```sh $ pulumi import yandex:index/lbNetworkLoadBalancer:LbNetworkLoadBalancer default network_load_balancer_id ``` :param str resource_name: The name of the resource. :param LbNetworkLoadBalancerArgs 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(LbNetworkLoadBalancerArgs, 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, attached_target_groups: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['LbNetworkLoadBalancerAttachedTargetGroupArgs']]]]] = None, description: Optional[pulumi.Input[str]] = None, folder_id: Optional[pulumi.Input[str]] = None, labels: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, listeners: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['LbNetworkLoadBalancerListenerArgs']]]]] = None, name: Optional[pulumi.Input[str]] = None, region_id: Optional[pulumi.Input[str]] = None, type: Optional[pulumi.Input[str]] = None, __props__=None): if opts is None: opts = pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') if opts.version is None: opts.version = _utilities.get_version() if opts.id is None: if __props__ is not None: raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource') __props__ = LbNetworkLoadBalancerArgs.__new__(LbNetworkLoadBalancerArgs) __props__.__dict__["attached_target_groups"] = attached_target_groups __props__.__dict__["description"] = description __props__.__dict__["folder_id"] = folder_id __props__.__dict__["labels"] = labels __props__.__dict__["listeners"] = listeners __props__.__dict__["name"] = name __props__.__dict__["region_id"] = region_id __props__.__dict__["type"] = type __props__.__dict__["created_at"] = None super(LbNetworkLoadBalancer, __self__).__init__( 'yandex:index/lbNetworkLoadBalancer:LbNetworkLoadBalancer', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, attached_target_groups: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['LbNetworkLoadBalancerAttachedTargetGroupArgs']]]]] = None, created_at: Optional[pulumi.Input[str]] = None, description: Optional[pulumi.Input[str]] = None, folder_id: Optional[pulumi.Input[str]] = None, labels: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, listeners: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['LbNetworkLoadBalancerListenerArgs']]]]] = None, name: Optional[pulumi.Input[str]] = None, region_id: Optional[pulumi.Input[str]] = None, type: Optional[pulumi.Input[str]] = None) -> 'LbNetworkLoadBalancer': """ Get an existing LbNetworkLoadBalancer resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['LbNetworkLoadBalancerAttachedTargetGroupArgs']]]] attached_target_groups: An AttachedTargetGroup resource. The structure is documented below. :param pulumi.Input[str] created_at: The network load balancer creation timestamp. :param pulumi.Input[str] description: An optional description of the network load balancer. Provide this property when you create the resource. :param pulumi.Input[str] folder_id: The ID of the folder to which the resource belongs. If omitted, the provider folder is used. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] labels: Labels to assign to this network load balancer. A list of key/value pairs. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['LbNetworkLoadBalancerListenerArgs']]]] listeners: Listener specification that will be used by a network load balancer. The structure is documented below. :param pulumi.Input[str] name: Name of the listener. The name must be unique for each listener on a single load balancer. :param pulumi.Input[str] region_id: ID of the availability zone where the network load balancer resides. The default is 'ru-central1'. :param pulumi.Input[str] type: Type of the network load balancer. Must be one of 'external' or 'internal'. The default is 'external'. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _LbNetworkLoadBalancerState.__new__(_LbNetworkLoadBalancerState) __props__.__dict__["attached_target_groups"] = attached_target_groups __props__.__dict__["created_at"] = created_at __props__.__dict__["description"] = description __props__.__dict__["folder_id"] = folder_id __props__.__dict__["labels"] = labels __props__.__dict__["listeners"] = listeners __props__.__dict__["name"] = name __props__.__dict__["region_id"] = region_id __props__.__dict__["type"] = type return LbNetworkLoadBalancer(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="attachedTargetGroups") def attached_target_groups(self) -> pulumi.Output[Optional[Sequence['outputs.LbNetworkLoadBalancerAttachedTargetGroup']]]: """ An AttachedTargetGroup resource. The structure is documented below. """ return pulumi.get(self, "attached_target_groups") @property @pulumi.getter(name="createdAt") def created_at(self) -> pulumi.Output[str]: """ The network load balancer creation timestamp. """ return pulumi.get(self, "created_at") @property @pulumi.getter def description(self) -> pulumi.Output[Optional[str]]: """ An optional description of the network load balancer. Provide this property when you create the resource. """ return pulumi.get(self, "description") @property @pulumi.getter(name="folderId") def folder_id(self) -> pulumi.Output[str]: """ The ID of the folder to which the resource belongs. If omitted, the provider folder is used. """ return pulumi.get(self, "folder_id") @property @pulumi.getter def labels(self) -> pulumi.Output[Optional[Mapping[str, str]]]: """ Labels to assign to this network load balancer. A list of key/value pairs. """ return pulumi.get(self, "labels") @property @pulumi.getter def listeners(self) -> pulumi.Output[Optional[Sequence['outputs.LbNetworkLoadBalancerListener']]]: """ Listener specification that will be used by a network load balancer. The structure is documented below. """ return pulumi.get(self, "listeners") @property @pulumi.getter def name(self) -> pulumi.Output[str]: """ Name of the listener. The name must be unique for each listener on a single load balancer. """ return pulumi.get(self, "name") @property @pulumi.getter(name="regionId") def region_id(self) -> pulumi.Output[Optional[str]]: """ ID of the availability zone where the network load balancer resides. The default is 'ru-central1'. """ return pulumi.get(self, "region_id") @property @pulumi.getter def type(self) -> pulumi.Output[Optional[str]]: """ Type of the network load balancer. Must be one of 'external' or 'internal'. The default is 'external'. """ return pulumi.get(self, "type")

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Python

icon.py

yaooort/Apputils

42faa2ab72f376651279cd7b47340a8822a390af

[ "Apache-2.0" ]

17

2018-08-28T04:40:07.000Z

2021-12-15T06:19:31.000Z

icon.py

yaooort/Apputils

42faa2ab72f376651279cd7b47340a8822a390af

[ "Apache-2.0" ]

4

2019-05-17T09:35:30.000Z

2022-03-13T03:50:20.000Z

icon.py

yaooort/Apputils

42faa2ab72f376651279cd7b47340a8822a390af

[ "Apache-2.0" ]

3

2019-01-15T07:13:53.000Z

2020-03-29T00:48:39.000Z

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e41b8d53f8ccade3c875cebce6d0a34b1824775c

132

py

Python

boa3_test/test_sc/interop_test/runtime/CheckWitnessMismatchedType.py

hal0x2328/neo3-boa

6825a3533384cb01660773050719402a9703065b

[ "Apache-2.0" ]

25

2020-07-22T19:37:43.000Z

2022-03-08T03:23:55.000Z

boa3_test/test_sc/interop_test/runtime/CheckWitnessMismatchedType.py

hal0x2328/neo3-boa

6825a3533384cb01660773050719402a9703065b

[ "Apache-2.0" ]

419

2020-04-23T17:48:14.000Z

2022-03-31T13:17:45.000Z

boa3_test/test_sc/interop_test/runtime/CheckWitnessMismatchedType.py

hal0x2328/neo3-boa

6825a3533384cb01660773050719402a9703065b

[ "Apache-2.0" ]

15

2020-05-21T21:54:24.000Z

2021-11-18T06:17:24.000Z

from boa3.builtin.interop.runtime import check_witness def Main(script_hash: list) -> bool: return check_witness(script_hash)

22

54

0.787879

19

132

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7

e485c7e23d44cb8ed2e557bc82c5c1be6ae39671

387

py

Python

datasette_query_history/__init__.py

bretwalker/datasette-query-history

c4d4cceb2a0b6f69dd96db1d7c1bf97194ad841a

[ "Apache-2.0" ]

3

2021-01-17T05:08:00.000Z

2021-04-18T03:06:36.000Z

datasette_query_history/__init__.py

bretwalker/datasette-query-history

c4d4cceb2a0b6f69dd96db1d7c1bf97194ad841a

[ "Apache-2.0" ]

null

datasette_query_history/__init__.py

bretwalker/datasette-query-history

c4d4cceb2a0b6f69dd96db1d7c1bf97194ad841a

[ "Apache-2.0" ]

null

from datasette import hookimpl @hookimpl def extra_css_urls(database, table, columns, view_name, datasette): return [ "/-/static-plugins/datasette_query_history/datasette-query-history.css", ] @hookimpl def extra_js_urls(database, table, columns, view_name, datasette): return [ "/-/static-plugins/datasette_query_history/datasette-query-history.js", ]

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e49b73695e8a8e6fe65244b5521604e1f4222b7a

66

py

Python

build/lib/brawlstars_api/__init__.py

smlbiobot/brawlstars_api

f40cc3e82bbcbe384dfccd33eda42d3e2331b81f

[ "MIT" ]

null

build/lib/brawlstars_api/__init__.py

smlbiobot/brawlstars_api

f40cc3e82bbcbe384dfccd33eda42d3e2331b81f

[ "MIT" ]

null

build/lib/brawlstars_api/__init__.py

smlbiobot/brawlstars_api

f40cc3e82bbcbe384dfccd33eda42d3e2331b81f

[ "MIT" ]

null

from .api import BrawlStarsAPI from .api import BrawlStarsAPIError

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null

0

1

0

1

0

1

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7

e4b846d4e88a4a01e387646854c63a46fff18f8c

198

py

Python

python/dagster-fusion/tests/test_imports_dagster.py

roeap/flight-fusion

14f73c99c5214277d0abcced633d83b37f1d5292

[ "Apache-2.0", "MIT" ]

5

2021-12-24T06:21:40.000Z

2022-01-16T12:21:06.000Z

python/dagster-fusion/tests/test_imports_dagster.py

roeap/flight-fusion

14f73c99c5214277d0abcced633d83b37f1d5292

[ "Apache-2.0", "MIT" ]

66

2021-12-15T17:08:21.000Z

2022-03-29T10:36:18.000Z

python/dagster-fusion/tests/test_imports_dagster.py

roeap/flight-fusion

14f73c99c5214277d0abcced633d83b37f1d5292

[ "Apache-2.0", "MIT" ]

1

2022-02-08T21:07:08.000Z

import dagster_fusion def test_import_dagster_fusion(): assert dagster_fusion.__name__ == "dagster_fusion" def test_dagster_fusion_version(): assert dagster_fusion.__version__ > "0.0.0"

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9

9018c9ec1895f65c68abc2794f13646d7757d496

68,562

py

Python

benchmarks/SimResults/micro_pinned_train_combos/cmpA_povraygromacslibquantumbzip2/power.py

TugberkArkose/MLScheduler

e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061

[ "Unlicense" ]

null

benchmarks/SimResults/micro_pinned_train_combos/cmpA_povraygromacslibquantumbzip2/power.py

TugberkArkose/MLScheduler

e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061

[ "Unlicense" ]

null

benchmarks/SimResults/micro_pinned_train_combos/cmpA_povraygromacslibquantumbzip2/power.py

TugberkArkose/MLScheduler

e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061

[ "Unlicense" ]

null

power = {'BUSES': {'Area': 1.33155, 'Bus/Area': 1.33155, 'Bus/Gate Leakage': 0.00662954, 'Bus/Peak Dynamic': 0.0, 'Bus/Runtime Dynamic': 0.0, 'Bus/Subthreshold Leakage': 0.0691322, 'Bus/Subthreshold Leakage with power gating': 0.0259246, 'Gate Leakage': 0.00662954, 'Peak Dynamic': 0.0, 'Runtime Dynamic': 0.0, 'Subthreshold Leakage': 0.0691322, 'Subthreshold Leakage with power gating': 0.0259246}, 'Core': [{'Area': 32.6082, 'Execution Unit/Area': 8.2042, 'Execution Unit/Complex ALUs/Area': 0.235435, 'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646, 'Execution Unit/Complex ALUs/Peak Dynamic': 0.31626, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.451093, 'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111, 'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163, 'Execution Unit/Floating Point Units/Area': 4.6585, 'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156, 'Execution Unit/Floating Point Units/Peak Dynamic': 1.81823, 'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033, 'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829, 'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061, 'Execution Unit/Gate Leakage': 0.122718, 'Execution Unit/Instruction Scheduler/Area': 2.17927, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.328073, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.00115349, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.20978, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.759535, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.017004, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00962066, 'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00730101, 'Execution Unit/Instruction Scheduler/Instruction Window/Area': 1.00996, 'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00529112, 'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 2.07911, 'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 1.31524, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0800117, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0455351, 'Execution Unit/Instruction Scheduler/Peak Dynamic': 4.84781, 'Execution Unit/Instruction Scheduler/ROB/Area': 0.841232, 'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.000856399, 'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.55892, 'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.754327, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.0178624, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00897339, 'Execution Unit/Instruction Scheduler/Runtime Dynamic': 2.8291, 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'Renaming Unit/Free List/Runtime Dynamic': 0.0113471, 'Renaming Unit/Free List/Subthreshold Leakage': 0.000370144, 'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000201064, 'Renaming Unit/Gate Leakage': 0.00708398, 'Renaming Unit/Int Front End RAT/Area': 0.0941223, 'Renaming Unit/Int Front End RAT/Gate Leakage': 0.000283242, 'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.731965, 'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.107479, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00435488, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228, 'Renaming Unit/Peak Dynamic': 3.58947, 'Renaming Unit/Runtime Dynamic': 0.248866, 'Renaming Unit/Subthreshold Leakage': 0.0552466, 'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461, 'Runtime Dynamic': 4.43833, 'Subthreshold Leakage': 6.16288, 'Subthreshold Leakage with power gating': 2.55328}, {'Area': 32.0201, 'Execution Unit/Area': 7.68434, 'Execution 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'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.04181, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.0619241, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.0143453, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519, 'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00568913, 'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223, 'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00414562, 'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 1.6763, 'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.0998813, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0625755, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0355964, 'Execution Unit/Instruction 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'Instruction Fetch Unit/Area': 5.85939, 'Instruction Fetch Unit/Branch Predictor/Area': 0.138516, 'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.00062807, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.00062807, 'Instruction 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'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000216592, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045, 'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838, 'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732, 'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05, 'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602, 'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.000275942, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733, 'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00208429, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703, 'Instruction Fetch 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power gating': 0.000701682, 'Instruction Fetch Unit/Instruction Cache/Area': 3.14635, 'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931, 'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 1.17461, 'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.0835913, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386, 'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799, 'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493, 'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404, 'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.0627198, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104, 'Instruction Fetch Unit/Peak Dynamic': 3.45013, 'Instruction Fetch Unit/Runtime Dynamic': 0.172699, 'Instruction Fetch Unit/Subthreshold Leakage': 0.932286, 'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843, 'L2/Area': 4.53318, 'L2/Gate Leakage': 0.015464, 'L2/Peak Dynamic': 0.030093, 'L2/Runtime Dynamic': 0.0091679, 'L2/Subthreshold Leakage': 0.834142, 'L2/Subthreshold Leakage with power gating': 0.401066, 'Load Store Unit/Area': 8.80901, 'Load Store Unit/Data Cache/Area': 6.84535, 'Load Store Unit/Data Cache/Gate Leakage': 0.0279261, 'Load Store Unit/Data Cache/Peak Dynamic': 1.55146, 'Load Store Unit/Data Cache/Runtime Dynamic': 0.165561, 'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675, 'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085, 'Load Store Unit/Gate Leakage': 0.0350888, 'Load Store Unit/LoadQ/Area': 0.0836782, 'Load Store Unit/LoadQ/Gate Leakage': 0.00059896, 'Load Store Unit/LoadQ/Peak Dynamic': 0.0101696, 'Load Store Unit/LoadQ/Runtime Dynamic': 0.0101696, 'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961, 'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918, 'Load Store Unit/Peak Dynamic': 1.59948, 'Load Store Unit/Runtime Dynamic': 0.225883, 'Load Store Unit/StoreQ/Area': 0.322079, 'Load Store Unit/StoreQ/Gate Leakage': 0.00329971, 'Load Store Unit/StoreQ/Peak Dynamic': 0.0250765, 'Load Store Unit/StoreQ/Runtime Dynamic': 0.050153, 'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621, 'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004, 'Load Store Unit/Subthreshold Leakage': 0.591321, 'Load Store Unit/Subthreshold Leakage with power gating': 0.283293, 'Memory Management Unit/Area': 0.4339, 'Memory Management Unit/Dtlb/Area': 0.0879726, 'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729, 'Memory Management Unit/Dtlb/Peak Dynamic': 0.00889971, 'Memory Management Unit/Dtlb/Runtime Dynamic': 0.00935155, 'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699, 'Memory Management Unit/Dtlb/Subthreshold Leakage with power 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'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461, 'Runtime Dynamic': 1.41889, 'Subthreshold Leakage': 6.16288, 'Subthreshold Leakage with power gating': 2.55328}, {'Area': 32.0201, 'Execution Unit/Area': 7.68434, 'Execution Unit/Complex ALUs/Area': 0.235435, 'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646, 'Execution Unit/Complex ALUs/Peak Dynamic': 0.0, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.202689, 'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111, 'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163, 'Execution Unit/Floating Point Units/Area': 4.6585, 'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156, 'Execution Unit/Floating Point Units/Peak Dynamic': 0.0, 'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033, 'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829, 'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061, 'Execution Unit/Gate 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Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.00071471, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045, 'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838, 'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732, 'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05, 'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602, 'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.00108796, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733, 'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00691258, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282, 'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954, 'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758, 'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867, 'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0179854, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357, 'Instruction Fetch Unit/Gate Leakage': 0.0589979, 'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323, 'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05, 'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827, 'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.0728071, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682, 'Instruction Fetch Unit/Instruction Cache/Area': 3.14635, 'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931, 'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 4.63115, 'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.243379, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386, 'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799, 'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493, 'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404, 'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.247286, 'Instruction Fetch Unit/Instruction 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Store Unit/LoadQ/Area': 0.0836782, 'Load Store Unit/LoadQ/Gate Leakage': 0.00059896, 'Load Store Unit/LoadQ/Peak Dynamic': 0.0787053, 'Load Store Unit/LoadQ/Runtime Dynamic': 0.0787054, 'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961, 'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918, 'Load Store Unit/Peak Dynamic': 4.04154, 'Load Store Unit/Runtime Dynamic': 1.65728, 'Load Store Unit/StoreQ/Area': 0.322079, 'Load Store Unit/StoreQ/Gate Leakage': 0.00329971, 'Load Store Unit/StoreQ/Peak Dynamic': 0.194074, 'Load Store Unit/StoreQ/Runtime Dynamic': 0.388148, 'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621, 'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004, 'Load Store Unit/Subthreshold Leakage': 0.591321, 'Load Store Unit/Subthreshold Leakage with power gating': 0.283293, 'Memory Management Unit/Area': 0.4339, 'Memory Management Unit/Dtlb/Area': 0.0879726, 'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729, 'Memory Management Unit/Dtlb/Peak Dynamic': 0.0688775, 'Memory Management Unit/Dtlb/Runtime Dynamic': 0.0697277, 'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699, 'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485, 'Memory Management Unit/Gate Leakage': 0.00808595, 'Memory Management Unit/Itlb/Area': 0.301552, 'Memory Management Unit/Itlb/Gate Leakage': 0.00393464, 'Memory Management Unit/Itlb/Peak Dynamic': 0.287948, 'Memory Management Unit/Itlb/Runtime Dynamic': 0.0399064, 'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758, 'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842, 'Memory Management Unit/Peak Dynamic': 0.562376, 'Memory Management Unit/Runtime Dynamic': 0.109634, 'Memory Management Unit/Subthreshold Leakage': 0.0766103, 'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333, 'Peak Dynamic': 19.694, 'Renaming Unit/Area': 0.303608, 'Renaming Unit/FP Front End RAT/Area': 0.131045, 'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00351123, 'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468, 'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.0, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.0175885, 'Renaming Unit/Free List/Area': 0.0340654, 'Renaming Unit/Free List/Gate Leakage': 2.5481e-05, 'Renaming Unit/Free List/Peak Dynamic': 0.0306032, 'Renaming Unit/Free List/Runtime Dynamic': 0.0110153, 'Renaming Unit/Free List/Subthreshold Leakage': 0.000370144, 'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000201064, 'Renaming Unit/Gate Leakage': 0.00708398, 'Renaming Unit/Int Front End RAT/Area': 0.0941223, 'Renaming Unit/Int Front End RAT/Gate Leakage': 0.000283242, 'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.731965, 'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.127029, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00435488, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228, 'Renaming Unit/Peak Dynamic': 3.58947, 'Renaming Unit/Runtime Dynamic': 0.138044, 'Renaming Unit/Subthreshold Leakage': 0.0552466, 'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461, 'Runtime Dynamic': 4.50738, 'Subthreshold Leakage': 6.16288, 'Subthreshold Leakage with power gating': 2.55328}], 'DRAM': {'Area': 0, 'Gate Leakage': 0, 'Peak Dynamic': 1.9369935276373202, 'Runtime Dynamic': 1.9369935276373202, 'Subthreshold Leakage': 4.252, 'Subthreshold Leakage with power gating': 4.252}, 'L3': [{'Area': 61.9075, 'Gate Leakage': 0.0484137, 'Peak Dynamic': 0.161329, 'Runtime Dynamic': 0.0792786, 'Subthreshold Leakage': 6.80085, 'Subthreshold Leakage with power gating': 3.32364}], 'Processor': {'Area': 191.908, 'Gate Leakage': 1.53485, 'Peak Dynamic': 83.0806, 'Peak Power': 116.193, 'Runtime Dynamic': 23.0588, 'Subthreshold Leakage': 31.5774, 'Subthreshold Leakage with power gating': 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59,490

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Python

sdk/python/pulumi_consul/_inputs.py

pulumi/pulumi-consul

5b66c5b97fda6b5433bfb4d4173c999e468c82e8

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

3

2019-11-12T12:21:18.000Z

2021-07-31T08:17:22.000Z

sdk/python/pulumi_consul/_inputs.py

pulumi/pulumi-consul

5b66c5b97fda6b5433bfb4d4173c999e468c82e8

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

38

2019-11-21T15:19:33.000Z

2022-03-31T15:24:11.000Z

sdk/python/pulumi_consul/_inputs.py

pulumi/pulumi-consul

5b66c5b97fda6b5433bfb4d4173c999e468c82e8

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

2

2020-11-24T12:23:13.000Z

2021-12-06T17:33:31.000Z

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from . import _utilities __all__ = [ 'AclAuthMethodNamespaceRuleArgs', 'AclRoleServiceIdentityArgs', 'CatalogEntryServiceArgs', 'KeyPrefixSubkeyCollectionArgs', 'KeysKeyArgs', 'PreparedQueryDnsArgs', 'PreparedQueryFailoverArgs', 'PreparedQueryTemplateArgs', 'ProviderHeaderArgs', 'ServiceCheckArgs', 'ServiceCheckHeaderArgs', 'GetAclRolePolicyArgs', 'GetAclRoleServiceIdentityArgs', 'GetAclTokenPolicyArgs', 'GetCatalogNodesQueryOptionArgs', 'GetCatalogServiceQueryOptionArgs', 'GetCatalogServicesQueryOptionArgs', 'GetKeyPrefixSubkeyCollectionArgs', 'GetKeysKeyArgs', 'GetNodesQueryOptionArgs', 'GetServiceQueryOptionArgs', 'GetServicesQueryOptionArgs', ] @pulumi.input_type class AclAuthMethodNamespaceRuleArgs: def __init__(__self__, *, bind_namespace: pulumi.Input[str], selector: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] bind_namespace: If the namespace rule's `selector` matches then this is used to control the namespace where the token is created. :param pulumi.Input[str] selector: Specifies the expression used to match this namespace rule against valid identities returned from an auth method validation. Defaults to `""`. """ pulumi.set(__self__, "bind_namespace", bind_namespace) if selector is not None: pulumi.set(__self__, "selector", selector) @property @pulumi.getter(name="bindNamespace") def bind_namespace(self) -> pulumi.Input[str]: """ If the namespace rule's `selector` matches then this is used to control the namespace where the token is created. """ return pulumi.get(self, "bind_namespace") @bind_namespace.setter def bind_namespace(self, value: pulumi.Input[str]): pulumi.set(self, "bind_namespace", value) @property @pulumi.getter def selector(self) -> Optional[pulumi.Input[str]]: """ Specifies the expression used to match this namespace rule against valid identities returned from an auth method validation. Defaults to `""`. """ return pulumi.get(self, "selector") @selector.setter def selector(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "selector", value) @pulumi.input_type class AclRoleServiceIdentityArgs: def __init__(__self__, *, service_name: pulumi.Input[str], datacenters: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None): """ :param pulumi.Input[str] service_name: The name of the service. :param pulumi.Input[Sequence[pulumi.Input[str]]] datacenters: The datacenters the effective policy is valid within. """ pulumi.set(__self__, "service_name", service_name) if datacenters is not None: pulumi.set(__self__, "datacenters", datacenters) @property @pulumi.getter(name="serviceName") def service_name(self) -> pulumi.Input[str]: """ The name of the service. """ return pulumi.get(self, "service_name") @service_name.setter def service_name(self, value: pulumi.Input[str]): pulumi.set(self, "service_name", value) @property @pulumi.getter def datacenters(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ The datacenters the effective policy is valid within. """ return pulumi.get(self, "datacenters") @datacenters.setter def datacenters(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "datacenters", value) @pulumi.input_type class CatalogEntryServiceArgs: def __init__(__self__, *, name: pulumi.Input[str], address: Optional[pulumi.Input[str]] = None, id: Optional[pulumi.Input[str]] = None, port: Optional[pulumi.Input[int]] = None, tags: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None): """ :param pulumi.Input[str] name: The name of the service :param pulumi.Input[str] address: The address of the service. Defaults to the node address. :param pulumi.Input[str] id: The ID of the service. Defaults to the `name`. :param pulumi.Input[int] port: The port of the service. :param pulumi.Input[Sequence[pulumi.Input[str]]] tags: A list of values that are opaque to Consul, but can be used to distinguish between services or nodes. """ pulumi.set(__self__, "name", name) if address is not None: pulumi.set(__self__, "address", address) if id is not None: pulumi.set(__self__, "id", id) if port is not None: pulumi.set(__self__, "port", port) if tags is not None: pulumi.set(__self__, "tags", tags) @property @pulumi.getter def name(self) -> pulumi.Input[str]: """ The name of the service """ return pulumi.get(self, "name") @name.setter def name(self, value: pulumi.Input[str]): pulumi.set(self, "name", value) @property @pulumi.getter def address(self) -> Optional[pulumi.Input[str]]: """ The address of the service. Defaults to the node address. """ return pulumi.get(self, "address") @address.setter def address(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "address", value) @property @pulumi.getter def id(self) -> Optional[pulumi.Input[str]]: """ The ID of the service. Defaults to the `name`. """ return pulumi.get(self, "id") @id.setter def id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "id", value) @property @pulumi.getter def port(self) -> Optional[pulumi.Input[int]]: """ The port of the service. """ return pulumi.get(self, "port") @port.setter def port(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "port", value) @property @pulumi.getter def tags(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ A list of values that are opaque to Consul, but can be used to distinguish between services or nodes. """ return pulumi.get(self, "tags") @tags.setter def tags(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "tags", value) @pulumi.input_type class KeyPrefixSubkeyCollectionArgs: def __init__(__self__, *, path: pulumi.Input[str], value: pulumi.Input[str], flags: Optional[pulumi.Input[int]] = None): """ :param pulumi.Input[str] path: This is the path (which will be appended to the given `path_prefix`) in Consul that should be written to. :param pulumi.Input[str] value: The value to write to the given path. :param pulumi.Input[int] flags: An [unsigned integer value](https://www.consul.io/api/kv.html#flags-1) to attach to the key (defaults to 0). """ pulumi.set(__self__, "path", path) pulumi.set(__self__, "value", value) if flags is not None: pulumi.set(__self__, "flags", flags) @property @pulumi.getter def path(self) -> pulumi.Input[str]: """ This is the path (which will be appended to the given `path_prefix`) in Consul that should be written to. """ return pulumi.get(self, "path") @path.setter def path(self, value: pulumi.Input[str]): pulumi.set(self, "path", value) @property @pulumi.getter def value(self) -> pulumi.Input[str]: """ The value to write to the given path. """ return pulumi.get(self, "value") @value.setter def value(self, value: pulumi.Input[str]): pulumi.set(self, "value", value) @property @pulumi.getter def flags(self) -> Optional[pulumi.Input[int]]: """ An [unsigned integer value](https://www.consul.io/api/kv.html#flags-1) to attach to the key (defaults to 0). """ return pulumi.get(self, "flags") @flags.setter def flags(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "flags", value) @pulumi.input_type class KeysKeyArgs: def __init__(__self__, *, path: pulumi.Input[str], default: Optional[pulumi.Input[str]] = None, delete: Optional[pulumi.Input[bool]] = None, flags: Optional[pulumi.Input[int]] = None, name: Optional[pulumi.Input[str]] = None, value: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] path: This is the path in Consul that should be written to. :param pulumi.Input[bool] delete: If true, then the key will be deleted when either its configuration block is removed from the configuration or the entire resource is destroyed. Otherwise, it will be left in Consul. Defaults to false. :param pulumi.Input[int] flags: An [unsigned integer value](https://www.consul.io/api/kv.html#flags-1) to attach to the key (defaults to 0). :param pulumi.Input[str] value: The value to write to the given path. """ pulumi.set(__self__, "path", path) if default is not None: pulumi.set(__self__, "default", default) if delete is not None: pulumi.set(__self__, "delete", delete) if flags is not None: pulumi.set(__self__, "flags", flags) if name is not None: warnings.warn("""Using consul_keys resource to *read* is deprecated; please use consul_keys data source instead""", DeprecationWarning) pulumi.log.warn("""name is deprecated: Using consul_keys resource to *read* is deprecated; please use consul_keys data source instead""") if name is not None: pulumi.set(__self__, "name", name) if value is not None: pulumi.set(__self__, "value", value) @property @pulumi.getter def path(self) -> pulumi.Input[str]: """ This is the path in Consul that should be written to. """ return pulumi.get(self, "path") @path.setter def path(self, value: pulumi.Input[str]): pulumi.set(self, "path", value) @property @pulumi.getter def default(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "default") @default.setter def default(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "default", value) @property @pulumi.getter def delete(self) -> Optional[pulumi.Input[bool]]: """ If true, then the key will be deleted when either its configuration block is removed from the configuration or the entire resource is destroyed. Otherwise, it will be left in Consul. Defaults to false. """ return pulumi.get(self, "delete") @delete.setter def delete(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "delete", value) @property @pulumi.getter def flags(self) -> Optional[pulumi.Input[int]]: """ An [unsigned integer value](https://www.consul.io/api/kv.html#flags-1) to attach to the key (defaults to 0). """ return pulumi.get(self, "flags") @flags.setter def flags(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "flags", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter def value(self) -> Optional[pulumi.Input[str]]: """ The value to write to the given path. """ return pulumi.get(self, "value") @value.setter def value(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "value", value) @pulumi.input_type class PreparedQueryDnsArgs: def __init__(__self__, *, ttl: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] ttl: The TTL to send when returning DNS results. """ if ttl is not None: pulumi.set(__self__, "ttl", ttl) @property @pulumi.getter def ttl(self) -> Optional[pulumi.Input[str]]: """ The TTL to send when returning DNS results. """ return pulumi.get(self, "ttl") @ttl.setter def ttl(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "ttl", value) @pulumi.input_type class PreparedQueryFailoverArgs: def __init__(__self__, *, datacenters: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, nearest_n: Optional[pulumi.Input[int]] = None): """ :param pulumi.Input[Sequence[pulumi.Input[str]]] datacenters: Remote datacenters to return results from. :param pulumi.Input[int] nearest_n: Return results from this many datacenters, sorted in ascending order of estimated RTT. """ if datacenters is not None: pulumi.set(__self__, "datacenters", datacenters) if nearest_n is not None: pulumi.set(__self__, "nearest_n", nearest_n) @property @pulumi.getter def datacenters(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ Remote datacenters to return results from. """ return pulumi.get(self, "datacenters") @datacenters.setter def datacenters(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "datacenters", value) @property @pulumi.getter(name="nearestN") def nearest_n(self) -> Optional[pulumi.Input[int]]: """ Return results from this many datacenters, sorted in ascending order of estimated RTT. """ return pulumi.get(self, "nearest_n") @nearest_n.setter def nearest_n(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "nearest_n", value) @pulumi.input_type class PreparedQueryTemplateArgs: def __init__(__self__, *, regexp: pulumi.Input[str], type: pulumi.Input[str]): """ :param pulumi.Input[str] regexp: The regular expression to match with. When using `name_prefix_match`, this regex is applied against the query name. :param pulumi.Input[str] type: The type of template matching to perform. Currently only `name_prefix_match` is supported. """ pulumi.set(__self__, "regexp", regexp) pulumi.set(__self__, "type", type) @property @pulumi.getter def regexp(self) -> pulumi.Input[str]: """ The regular expression to match with. When using `name_prefix_match`, this regex is applied against the query name. """ return pulumi.get(self, "regexp") @regexp.setter def regexp(self, value: pulumi.Input[str]): pulumi.set(self, "regexp", value) @property @pulumi.getter def type(self) -> pulumi.Input[str]: """ The type of template matching to perform. Currently only `name_prefix_match` is supported. """ return pulumi.get(self, "type") @type.setter def type(self, value: pulumi.Input[str]): pulumi.set(self, "type", value) @pulumi.input_type class ProviderHeaderArgs: def __init__(__self__, *, name: pulumi.Input[str], value: pulumi.Input[str]): pulumi.set(__self__, "name", name) pulumi.set(__self__, "value", value) @property @pulumi.getter def name(self) -> pulumi.Input[str]: return pulumi.get(self, "name") @name.setter def name(self, value: pulumi.Input[str]): pulumi.set(self, "name", value) @property @pulumi.getter def value(self) -> pulumi.Input[str]: return pulumi.get(self, "value") @value.setter def value(self, value: pulumi.Input[str]): pulumi.set(self, "value", value) @pulumi.input_type class ServiceCheckArgs: def __init__(__self__, *, check_id: pulumi.Input[str], interval: pulumi.Input[str], name: pulumi.Input[str], timeout: pulumi.Input[str], deregister_critical_service_after: Optional[pulumi.Input[str]] = None, headers: Optional[pulumi.Input[Sequence[pulumi.Input['ServiceCheckHeaderArgs']]]] = None, http: Optional[pulumi.Input[str]] = None, method: Optional[pulumi.Input[str]] = None, notes: Optional[pulumi.Input[str]] = None, status: Optional[pulumi.Input[str]] = None, tcp: Optional[pulumi.Input[str]] = None, tls_skip_verify: Optional[pulumi.Input[bool]] = None): """ :param pulumi.Input[str] check_id: An ID, *unique per agent*. Will default to *name* if not set. :param pulumi.Input[str] interval: The interval to wait between each health-check invocation. :param pulumi.Input[str] name: The name of the health-check. :param pulumi.Input[str] timeout: The timeout value for HTTP checks. :param pulumi.Input[str] deregister_critical_service_after: The time after which the service is automatically deregistered when in the `critical` state. Defaults to `30s`. :param pulumi.Input[Sequence[pulumi.Input['ServiceCheckHeaderArgs']]] headers: The headers to send for an HTTP check. The attributes of each header is given below. :param pulumi.Input[str] http: The HTTP endpoint to call for an HTTP check. :param pulumi.Input[str] method: The method to use for HTTP health-checks. Defaults to `GET`. :param pulumi.Input[str] notes: An opaque field meant to hold human readable text. :param pulumi.Input[str] status: The initial health-check status. :param pulumi.Input[str] tcp: The TCP address and port to connect to for a TCP check. :param pulumi.Input[bool] tls_skip_verify: Whether to deactivate certificate verification for HTTP health-checks. Defaults to `false`. """ pulumi.set(__self__, "check_id", check_id) pulumi.set(__self__, "interval", interval) pulumi.set(__self__, "name", name) pulumi.set(__self__, "timeout", timeout) if deregister_critical_service_after is not None: pulumi.set(__self__, "deregister_critical_service_after", deregister_critical_service_after) if headers is not None: pulumi.set(__self__, "headers", headers) if http is not None: pulumi.set(__self__, "http", http) if method is not None: pulumi.set(__self__, "method", method) if notes is not None: pulumi.set(__self__, "notes", notes) if status is not None: pulumi.set(__self__, "status", status) if tcp is not None: pulumi.set(__self__, "tcp", tcp) if tls_skip_verify is not None: pulumi.set(__self__, "tls_skip_verify", tls_skip_verify) @property @pulumi.getter(name="checkId") def check_id(self) -> pulumi.Input[str]: """ An ID, *unique per agent*. Will default to *name* if not set. """ return pulumi.get(self, "check_id") @check_id.setter def check_id(self, value: pulumi.Input[str]): pulumi.set(self, "check_id", value) @property @pulumi.getter def interval(self) -> pulumi.Input[str]: """ The interval to wait between each health-check invocation. """ return pulumi.get(self, "interval") @interval.setter def interval(self, value: pulumi.Input[str]): pulumi.set(self, "interval", value) @property @pulumi.getter def name(self) -> pulumi.Input[str]: """ The name of the health-check. """ return pulumi.get(self, "name") @name.setter def name(self, value: pulumi.Input[str]): pulumi.set(self, "name", value) @property @pulumi.getter def timeout(self) -> pulumi.Input[str]: """ The timeout value for HTTP checks. """ return pulumi.get(self, "timeout") @timeout.setter def timeout(self, value: pulumi.Input[str]): pulumi.set(self, "timeout", value) @property @pulumi.getter(name="deregisterCriticalServiceAfter") def deregister_critical_service_after(self) -> Optional[pulumi.Input[str]]: """ The time after which the service is automatically deregistered when in the `critical` state. Defaults to `30s`. """ return pulumi.get(self, "deregister_critical_service_after") @deregister_critical_service_after.setter def deregister_critical_service_after(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "deregister_critical_service_after", value) @property @pulumi.getter def headers(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['ServiceCheckHeaderArgs']]]]: """ The headers to send for an HTTP check. The attributes of each header is given below. """ return pulumi.get(self, "headers") @headers.setter def headers(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['ServiceCheckHeaderArgs']]]]): pulumi.set(self, "headers", value) @property @pulumi.getter def http(self) -> Optional[pulumi.Input[str]]: """ The HTTP endpoint to call for an HTTP check. """ return pulumi.get(self, "http") @http.setter def http(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "http", value) @property @pulumi.getter def method(self) -> Optional[pulumi.Input[str]]: """ The method to use for HTTP health-checks. Defaults to `GET`. """ return pulumi.get(self, "method") @method.setter def method(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "method", value) @property @pulumi.getter def notes(self) -> Optional[pulumi.Input[str]]: """ An opaque field meant to hold human readable text. """ return pulumi.get(self, "notes") @notes.setter def notes(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "notes", value) @property @pulumi.getter def status(self) -> Optional[pulumi.Input[str]]: """ The initial health-check status. """ return pulumi.get(self, "status") @status.setter def status(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "status", value) @property @pulumi.getter def tcp(self) -> Optional[pulumi.Input[str]]: """ The TCP address and port to connect to for a TCP check. """ return pulumi.get(self, "tcp") @tcp.setter def tcp(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "tcp", value) @property @pulumi.getter(name="tlsSkipVerify") def tls_skip_verify(self) -> Optional[pulumi.Input[bool]]: """ Whether to deactivate certificate verification for HTTP health-checks. Defaults to `false`. """ return pulumi.get(self, "tls_skip_verify") @tls_skip_verify.setter def tls_skip_verify(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "tls_skip_verify", value) @pulumi.input_type class ServiceCheckHeaderArgs: def __init__(__self__, *, name: pulumi.Input[str], values: pulumi.Input[Sequence[pulumi.Input[str]]]): """ :param pulumi.Input[str] name: The name of the header. :param pulumi.Input[Sequence[pulumi.Input[str]]] values: The header's list of values. """ pulumi.set(__self__, "name", name) pulumi.set(__self__, "values", values) @property @pulumi.getter def name(self) -> pulumi.Input[str]: """ The name of the header. """ return pulumi.get(self, "name") @name.setter def name(self, value: pulumi.Input[str]): pulumi.set(self, "name", value) @property @pulumi.getter def values(self) -> pulumi.Input[Sequence[pulumi.Input[str]]]: """ The header's list of values. """ return pulumi.get(self, "values") @values.setter def values(self, value: pulumi.Input[Sequence[pulumi.Input[str]]]): pulumi.set(self, "values", value) @pulumi.input_type class GetAclRolePolicyArgs: def __init__(__self__, *, id: str, name: str): """ :param str name: The name of the ACL Role. """ pulumi.set(__self__, "id", id) pulumi.set(__self__, "name", name) @property @pulumi.getter def id(self) -> str: return pulumi.get(self, "id") @id.setter def id(self, value: str): pulumi.set(self, "id", value) @property @pulumi.getter def name(self) -> str: """ The name of the ACL Role. """ return pulumi.get(self, "name") @name.setter def name(self, value: str): pulumi.set(self, "name", value) @pulumi.input_type class GetAclRoleServiceIdentityArgs: def __init__(__self__, *, datacenters: Optional[Sequence[str]] = None, service_name: Optional[str] = None): if datacenters is not None: pulumi.set(__self__, "datacenters", datacenters) if service_name is not None: pulumi.set(__self__, "service_name", service_name) @property @pulumi.getter def datacenters(self) -> Optional[Sequence[str]]: return pulumi.get(self, "datacenters") @datacenters.setter def datacenters(self, value: Optional[Sequence[str]]): pulumi.set(self, "datacenters", value) @property @pulumi.getter(name="serviceName") def service_name(self) -> Optional[str]: return pulumi.get(self, "service_name") @service_name.setter def service_name(self, value: Optional[str]): pulumi.set(self, "service_name", value) @pulumi.input_type class GetAclTokenPolicyArgs: def __init__(__self__, *, id: str, name: str): pulumi.set(__self__, "id", id) pulumi.set(__self__, "name", name) @property @pulumi.getter def id(self) -> str: return pulumi.get(self, "id") @id.setter def id(self, value: str): pulumi.set(self, "id", value) @property @pulumi.getter def name(self) -> str: return pulumi.get(self, "name") @name.setter def name(self, value: str): pulumi.set(self, "name", value) @pulumi.input_type class GetCatalogNodesQueryOptionArgs: def __init__(__self__, *, allow_stale: Optional[bool] = None, datacenter: Optional[str] = None, near: Optional[str] = None, node_meta: Optional[Mapping[str, str]] = None, require_consistent: Optional[bool] = None, token: Optional[str] = None, wait_index: Optional[int] = None, wait_time: Optional[str] = None): if allow_stale is not None: pulumi.set(__self__, "allow_stale", allow_stale) if datacenter is not None: pulumi.set(__self__, "datacenter", datacenter) if near is not None: pulumi.set(__self__, "near", near) if node_meta is not None: pulumi.set(__self__, "node_meta", node_meta) if require_consistent is not None: pulumi.set(__self__, "require_consistent", require_consistent) if token is not None: pulumi.set(__self__, "token", token) if wait_index is not None: pulumi.set(__self__, "wait_index", wait_index) if wait_time is not None: pulumi.set(__self__, "wait_time", wait_time) @property @pulumi.getter(name="allowStale") def allow_stale(self) -> Optional[bool]: return pulumi.get(self, "allow_stale") @allow_stale.setter def allow_stale(self, value: Optional[bool]): pulumi.set(self, "allow_stale", value) @property @pulumi.getter def datacenter(self) -> Optional[str]: return pulumi.get(self, "datacenter") @datacenter.setter def datacenter(self, value: Optional[str]): pulumi.set(self, "datacenter", value) @property @pulumi.getter def near(self) -> Optional[str]: return pulumi.get(self, "near") @near.setter def near(self, value: Optional[str]): pulumi.set(self, "near", value) @property @pulumi.getter(name="nodeMeta") def node_meta(self) -> Optional[Mapping[str, str]]: return pulumi.get(self, "node_meta") @node_meta.setter def node_meta(self, value: Optional[Mapping[str, str]]): pulumi.set(self, "node_meta", value) @property @pulumi.getter(name="requireConsistent") def require_consistent(self) -> Optional[bool]: return pulumi.get(self, "require_consistent") @require_consistent.setter def require_consistent(self, value: Optional[bool]): pulumi.set(self, "require_consistent", value) @property @pulumi.getter def token(self) -> Optional[str]: return pulumi.get(self, "token") @token.setter def token(self, value: Optional[str]): pulumi.set(self, "token", value) @property @pulumi.getter(name="waitIndex") def wait_index(self) -> Optional[int]: return pulumi.get(self, "wait_index") @wait_index.setter def wait_index(self, value: Optional[int]): pulumi.set(self, "wait_index", value) @property @pulumi.getter(name="waitTime") def wait_time(self) -> Optional[str]: return pulumi.get(self, "wait_time") @wait_time.setter def wait_time(self, value: Optional[str]): pulumi.set(self, "wait_time", value) @pulumi.input_type class GetCatalogServiceQueryOptionArgs: def __init__(__self__, *, allow_stale: Optional[bool] = None, datacenter: Optional[str] = None, namespace: Optional[str] = None, near: Optional[str] = None, node_meta: Optional[Mapping[str, str]] = None, require_consistent: Optional[bool] = None, token: Optional[str] = None, wait_index: Optional[int] = None, wait_time: Optional[str] = None): if allow_stale is not None: pulumi.set(__self__, "allow_stale", allow_stale) if datacenter is not None: pulumi.set(__self__, "datacenter", datacenter) if namespace is not None: pulumi.set(__self__, "namespace", namespace) if near is not None: pulumi.set(__self__, "near", near) if node_meta is not None: pulumi.set(__self__, "node_meta", node_meta) if require_consistent is not None: pulumi.set(__self__, "require_consistent", require_consistent) if token is not None: pulumi.set(__self__, "token", token) if wait_index is not None: pulumi.set(__self__, "wait_index", wait_index) if wait_time is not None: pulumi.set(__self__, "wait_time", wait_time) @property @pulumi.getter(name="allowStale") def allow_stale(self) -> Optional[bool]: return pulumi.get(self, "allow_stale") @allow_stale.setter def allow_stale(self, value: Optional[bool]): pulumi.set(self, "allow_stale", value) @property @pulumi.getter def datacenter(self) -> Optional[str]: return pulumi.get(self, "datacenter") @datacenter.setter def datacenter(self, value: Optional[str]): pulumi.set(self, "datacenter", value) @property @pulumi.getter def namespace(self) -> Optional[str]: return pulumi.get(self, "namespace") @namespace.setter def namespace(self, value: Optional[str]): pulumi.set(self, "namespace", value) @property @pulumi.getter def near(self) -> Optional[str]: return pulumi.get(self, "near") @near.setter def near(self, value: Optional[str]): pulumi.set(self, "near", value) @property @pulumi.getter(name="nodeMeta") def node_meta(self) -> Optional[Mapping[str, str]]: return pulumi.get(self, "node_meta") @node_meta.setter def node_meta(self, value: Optional[Mapping[str, str]]): pulumi.set(self, "node_meta", value) @property @pulumi.getter(name="requireConsistent") def require_consistent(self) -> Optional[bool]: return pulumi.get(self, "require_consistent") @require_consistent.setter def require_consistent(self, value: Optional[bool]): pulumi.set(self, "require_consistent", value) @property @pulumi.getter def token(self) -> Optional[str]: return pulumi.get(self, "token") @token.setter def token(self, value: Optional[str]): pulumi.set(self, "token", value) @property @pulumi.getter(name="waitIndex") def wait_index(self) -> Optional[int]: return pulumi.get(self, "wait_index") @wait_index.setter def wait_index(self, value: Optional[int]): pulumi.set(self, "wait_index", value) @property @pulumi.getter(name="waitTime") def wait_time(self) -> Optional[str]: return pulumi.get(self, "wait_time") @wait_time.setter def wait_time(self, value: Optional[str]): pulumi.set(self, "wait_time", value) @pulumi.input_type class GetCatalogServicesQueryOptionArgs: def __init__(__self__, *, allow_stale: Optional[bool] = None, datacenter: Optional[str] = None, namespace: Optional[str] = None, near: Optional[str] = None, node_meta: Optional[Mapping[str, str]] = None, require_consistent: Optional[bool] = None, token: Optional[str] = None, wait_index: Optional[int] = None, wait_time: Optional[str] = None): if allow_stale is not None: pulumi.set(__self__, "allow_stale", allow_stale) if datacenter is not None: pulumi.set(__self__, "datacenter", datacenter) if namespace is not None: pulumi.set(__self__, "namespace", namespace) if near is not None: pulumi.set(__self__, "near", near) if node_meta is not None: pulumi.set(__self__, "node_meta", node_meta) if require_consistent is not None: pulumi.set(__self__, "require_consistent", require_consistent) if token is not None: pulumi.set(__self__, "token", token) if wait_index is not None: pulumi.set(__self__, "wait_index", wait_index) if wait_time is not None: pulumi.set(__self__, "wait_time", wait_time) @property @pulumi.getter(name="allowStale") def allow_stale(self) -> Optional[bool]: return pulumi.get(self, "allow_stale") @allow_stale.setter def allow_stale(self, value: Optional[bool]): pulumi.set(self, "allow_stale", value) @property @pulumi.getter def datacenter(self) -> Optional[str]: return pulumi.get(self, "datacenter") @datacenter.setter def datacenter(self, value: Optional[str]): pulumi.set(self, "datacenter", value) @property @pulumi.getter def namespace(self) -> Optional[str]: return pulumi.get(self, "namespace") @namespace.setter def namespace(self, value: Optional[str]): pulumi.set(self, "namespace", value) @property @pulumi.getter def near(self) -> Optional[str]: return pulumi.get(self, "near") @near.setter def near(self, value: Optional[str]): pulumi.set(self, "near", value) @property @pulumi.getter(name="nodeMeta") def node_meta(self) -> Optional[Mapping[str, str]]: return pulumi.get(self, "node_meta") @node_meta.setter def node_meta(self, value: Optional[Mapping[str, str]]): pulumi.set(self, "node_meta", value) @property @pulumi.getter(name="requireConsistent") def require_consistent(self) -> Optional[bool]: return pulumi.get(self, "require_consistent") @require_consistent.setter def require_consistent(self, value: Optional[bool]): pulumi.set(self, "require_consistent", value) @property @pulumi.getter def token(self) -> Optional[str]: return pulumi.get(self, "token") @token.setter def token(self, value: Optional[str]): pulumi.set(self, "token", value) @property @pulumi.getter(name="waitIndex") def wait_index(self) -> Optional[int]: return pulumi.get(self, "wait_index") @wait_index.setter def wait_index(self, value: Optional[int]): pulumi.set(self, "wait_index", value) @property @pulumi.getter(name="waitTime") def wait_time(self) -> Optional[str]: return pulumi.get(self, "wait_time") @wait_time.setter def wait_time(self, value: Optional[str]): pulumi.set(self, "wait_time", value) @pulumi.input_type class GetKeyPrefixSubkeyCollectionArgs: def __init__(__self__, *, name: str, path: str, default: Optional[str] = None): """ :param str name: This is the name of the key. This value of the key is exposed as `var.<name>`. This is not the path of the subkey in Consul. :param str path: This is the subkey path in Consul (which will be appended to the given `path_prefix`) to construct the full key that will be used to read the value. :param str default: This is the default value to set for `var.<name>` if the key does not exist in Consul. Defaults to an empty string. """ pulumi.set(__self__, "name", name) pulumi.set(__self__, "path", path) if default is not None: pulumi.set(__self__, "default", default) @property @pulumi.getter def name(self) -> str: """ This is the name of the key. This value of the key is exposed as `var.<name>`. This is not the path of the subkey in Consul. """ return pulumi.get(self, "name") @name.setter def name(self, value: str): pulumi.set(self, "name", value) @property @pulumi.getter def path(self) -> str: """ This is the subkey path in Consul (which will be appended to the given `path_prefix`) to construct the full key that will be used to read the value. """ return pulumi.get(self, "path") @path.setter def path(self, value: str): pulumi.set(self, "path", value) @property @pulumi.getter def default(self) -> Optional[str]: """ This is the default value to set for `var.<name>` if the key does not exist in Consul. Defaults to an empty string. """ return pulumi.get(self, "default") @default.setter def default(self, value: Optional[str]): pulumi.set(self, "default", value) @pulumi.input_type class GetKeysKeyArgs: def __init__(__self__, *, name: str, path: str, default: Optional[str] = None): """ :param str name: This is the name of the key. This value of the key is exposed as `var.<name>`. This is not the path of the key in Consul. :param str path: This is the path in Consul that should be read or written to. :param str default: This is the default value to set for `var.<name>` if the key does not exist in Consul. Defaults to an empty string. """ pulumi.set(__self__, "name", name) pulumi.set(__self__, "path", path) if default is not None: pulumi.set(__self__, "default", default) @property @pulumi.getter def name(self) -> str: """ This is the name of the key. This value of the key is exposed as `var.<name>`. This is not the path of the key in Consul. """ return pulumi.get(self, "name") @name.setter def name(self, value: str): pulumi.set(self, "name", value) @property @pulumi.getter def path(self) -> str: """ This is the path in Consul that should be read or written to. """ return pulumi.get(self, "path") @path.setter def path(self, value: str): pulumi.set(self, "path", value) @property @pulumi.getter def default(self) -> Optional[str]: """ This is the default value to set for `var.<name>` if the key does not exist in Consul. Defaults to an empty string. """ return pulumi.get(self, "default") @default.setter def default(self, value: Optional[str]): pulumi.set(self, "default", value) @pulumi.input_type class GetNodesQueryOptionArgs: def __init__(__self__, *, allow_stale: Optional[bool] = None, datacenter: Optional[str] = None, near: Optional[str] = None, node_meta: Optional[Mapping[str, str]] = None, require_consistent: Optional[bool] = None, token: Optional[str] = None, wait_index: Optional[int] = None, wait_time: Optional[str] = None): """ :param bool allow_stale: When `true`, the default, allow responses from Consul servers that are followers. :param str datacenter: The Consul datacenter to query. Defaults to the same value found in `query_options` parameter specified below, or if that is empty, the `datacenter` value found in the Consul agent that this provider is configured to talk to then the datacenter in the provider setup. :param bool require_consistent: When `true` force the client to perform a read on at least quorum servers and verify the result is the same. Defaults to `false`. :param str token: Specify the Consul ACL token to use when performing the request. This defaults to the same API token configured by the `consul` provider but may be overridden if necessary. :param int wait_index: Index number used to enable blocking queries. :param str wait_time: Max time the client should wait for a blocking query to return. """ if allow_stale is not None: pulumi.set(__self__, "allow_stale", allow_stale) if datacenter is not None: pulumi.set(__self__, "datacenter", datacenter) if near is not None: pulumi.set(__self__, "near", near) if node_meta is not None: pulumi.set(__self__, "node_meta", node_meta) if require_consistent is not None: pulumi.set(__self__, "require_consistent", require_consistent) if token is not None: pulumi.set(__self__, "token", token) if wait_index is not None: pulumi.set(__self__, "wait_index", wait_index) if wait_time is not None: pulumi.set(__self__, "wait_time", wait_time) @property @pulumi.getter(name="allowStale") def allow_stale(self) -> Optional[bool]: """ When `true`, the default, allow responses from Consul servers that are followers. """ return pulumi.get(self, "allow_stale") @allow_stale.setter def allow_stale(self, value: Optional[bool]): pulumi.set(self, "allow_stale", value) @property @pulumi.getter def datacenter(self) -> Optional[str]: """ The Consul datacenter to query. Defaults to the same value found in `query_options` parameter specified below, or if that is empty, the `datacenter` value found in the Consul agent that this provider is configured to talk to then the datacenter in the provider setup. """ return pulumi.get(self, "datacenter") @datacenter.setter def datacenter(self, value: Optional[str]): pulumi.set(self, "datacenter", value) @property @pulumi.getter def near(self) -> Optional[str]: return pulumi.get(self, "near") @near.setter def near(self, value: Optional[str]): pulumi.set(self, "near", value) @property @pulumi.getter(name="nodeMeta") def node_meta(self) -> Optional[Mapping[str, str]]: return pulumi.get(self, "node_meta") @node_meta.setter def node_meta(self, value: Optional[Mapping[str, str]]): pulumi.set(self, "node_meta", value) @property @pulumi.getter(name="requireConsistent") def require_consistent(self) -> Optional[bool]: """ When `true` force the client to perform a read on at least quorum servers and verify the result is the same. Defaults to `false`. """ return pulumi.get(self, "require_consistent") @require_consistent.setter def require_consistent(self, value: Optional[bool]): pulumi.set(self, "require_consistent", value) @property @pulumi.getter def token(self) -> Optional[str]: """ Specify the Consul ACL token to use when performing the request. This defaults to the same API token configured by the `consul` provider but may be overridden if necessary. """ return pulumi.get(self, "token") @token.setter def token(self, value: Optional[str]): pulumi.set(self, "token", value) @property @pulumi.getter(name="waitIndex") def wait_index(self) -> Optional[int]: """ Index number used to enable blocking queries. """ return pulumi.get(self, "wait_index") @wait_index.setter def wait_index(self, value: Optional[int]): pulumi.set(self, "wait_index", value) @property @pulumi.getter(name="waitTime") def wait_time(self) -> Optional[str]: """ Max time the client should wait for a blocking query to return. """ return pulumi.get(self, "wait_time") @wait_time.setter def wait_time(self, value: Optional[str]): pulumi.set(self, "wait_time", value) @pulumi.input_type class GetServiceQueryOptionArgs: def __init__(__self__, *, allow_stale: Optional[bool] = None, datacenter: Optional[str] = None, namespace: Optional[str] = None, near: Optional[str] = None, node_meta: Optional[Mapping[str, str]] = None, require_consistent: Optional[bool] = None, token: Optional[str] = None, wait_index: Optional[int] = None, wait_time: Optional[str] = None): """ :param bool allow_stale: When `true`, the default, allow responses from Consul servers that are followers. :param str datacenter: The Consul datacenter to query. Defaults to the same value found in `query_options` parameter specified below, or if that is empty, the `datacenter` value found in the Consul agent that this provider is configured to talk to. :param str namespace: The namespace to lookup the service. :param bool require_consistent: When `true` force the client to perform a read on at least quorum servers and verify the result is the same. Defaults to `false`. :param str token: Specify the Consul ACL token to use when performing the request. This defaults to the same API token configured by the `consul` provider but may be overridden if necessary. :param int wait_index: Index number used to enable blocking queries. :param str wait_time: Max time the client should wait for a blocking query to return. """ if allow_stale is not None: pulumi.set(__self__, "allow_stale", allow_stale) if datacenter is not None: pulumi.set(__self__, "datacenter", datacenter) if namespace is not None: pulumi.set(__self__, "namespace", namespace) if near is not None: pulumi.set(__self__, "near", near) if node_meta is not None: pulumi.set(__self__, "node_meta", node_meta) if require_consistent is not None: pulumi.set(__self__, "require_consistent", require_consistent) if token is not None: pulumi.set(__self__, "token", token) if wait_index is not None: pulumi.set(__self__, "wait_index", wait_index) if wait_time is not None: pulumi.set(__self__, "wait_time", wait_time) @property @pulumi.getter(name="allowStale") def allow_stale(self) -> Optional[bool]: """ When `true`, the default, allow responses from Consul servers that are followers. """ return pulumi.get(self, "allow_stale") @allow_stale.setter def allow_stale(self, value: Optional[bool]): pulumi.set(self, "allow_stale", value) @property @pulumi.getter def datacenter(self) -> Optional[str]: """ The Consul datacenter to query. Defaults to the same value found in `query_options` parameter specified below, or if that is empty, the `datacenter` value found in the Consul agent that this provider is configured to talk to. """ return pulumi.get(self, "datacenter") @datacenter.setter def datacenter(self, value: Optional[str]): pulumi.set(self, "datacenter", value) @property @pulumi.getter def namespace(self) -> Optional[str]: """ The namespace to lookup the service. """ return pulumi.get(self, "namespace") @namespace.setter def namespace(self, value: Optional[str]): pulumi.set(self, "namespace", value) @property @pulumi.getter def near(self) -> Optional[str]: return pulumi.get(self, "near") @near.setter def near(self, value: Optional[str]): pulumi.set(self, "near", value) @property @pulumi.getter(name="nodeMeta") def node_meta(self) -> Optional[Mapping[str, str]]: return pulumi.get(self, "node_meta") @node_meta.setter def node_meta(self, value: Optional[Mapping[str, str]]): pulumi.set(self, "node_meta", value) @property @pulumi.getter(name="requireConsistent") def require_consistent(self) -> Optional[bool]: """ When `true` force the client to perform a read on at least quorum servers and verify the result is the same. Defaults to `false`. """ return pulumi.get(self, "require_consistent") @require_consistent.setter def require_consistent(self, value: Optional[bool]): pulumi.set(self, "require_consistent", value) @property @pulumi.getter def token(self) -> Optional[str]: """ Specify the Consul ACL token to use when performing the request. This defaults to the same API token configured by the `consul` provider but may be overridden if necessary. """ return pulumi.get(self, "token") @token.setter def token(self, value: Optional[str]): pulumi.set(self, "token", value) @property @pulumi.getter(name="waitIndex") def wait_index(self) -> Optional[int]: """ Index number used to enable blocking queries. """ return pulumi.get(self, "wait_index") @wait_index.setter def wait_index(self, value: Optional[int]): pulumi.set(self, "wait_index", value) @property @pulumi.getter(name="waitTime") def wait_time(self) -> Optional[str]: """ Max time the client should wait for a blocking query to return. """ return pulumi.get(self, "wait_time") @wait_time.setter def wait_time(self, value: Optional[str]): pulumi.set(self, "wait_time", value) @pulumi.input_type class GetServicesQueryOptionArgs: def __init__(__self__, *, allow_stale: Optional[bool] = None, datacenter: Optional[str] = None, namespace: Optional[str] = None, near: Optional[str] = None, node_meta: Optional[Mapping[str, str]] = None, require_consistent: Optional[bool] = None, token: Optional[str] = None, wait_index: Optional[int] = None, wait_time: Optional[str] = None): """ :param bool allow_stale: When `true`, the default, allow responses from Consul servers that are followers. :param str datacenter: The Consul datacenter to query. Defaults to the same value found in `query_options` parameter specified below, or if that is empty, the `datacenter` value found in the Consul agent that this provider is configured to talk to. :param str namespace: The namespace to lookup the services. :param bool require_consistent: When `true` force the client to perform a read on at least quorum servers and verify the result is the same. Defaults to `false`. :param str token: Specify the Consul ACL token to use when performing the request. This defaults to the same API token configured by the `consul` provider but may be overridden if necessary. :param int wait_index: Index number used to enable blocking queries. :param str wait_time: Max time the client should wait for a blocking query to return. """ if allow_stale is not None: pulumi.set(__self__, "allow_stale", allow_stale) if datacenter is not None: pulumi.set(__self__, "datacenter", datacenter) if namespace is not None: pulumi.set(__self__, "namespace", namespace) if near is not None: pulumi.set(__self__, "near", near) if node_meta is not None: pulumi.set(__self__, "node_meta", node_meta) if require_consistent is not None: pulumi.set(__self__, "require_consistent", require_consistent) if token is not None: pulumi.set(__self__, "token", token) if wait_index is not None: pulumi.set(__self__, "wait_index", wait_index) if wait_time is not None: pulumi.set(__self__, "wait_time", wait_time) @property @pulumi.getter(name="allowStale") def allow_stale(self) -> Optional[bool]: """ When `true`, the default, allow responses from Consul servers that are followers. """ return pulumi.get(self, "allow_stale") @allow_stale.setter def allow_stale(self, value: Optional[bool]): pulumi.set(self, "allow_stale", value) @property @pulumi.getter def datacenter(self) -> Optional[str]: """ The Consul datacenter to query. Defaults to the same value found in `query_options` parameter specified below, or if that is empty, the `datacenter` value found in the Consul agent that this provider is configured to talk to. """ return pulumi.get(self, "datacenter") @datacenter.setter def datacenter(self, value: Optional[str]): pulumi.set(self, "datacenter", value) @property @pulumi.getter def namespace(self) -> Optional[str]: """ The namespace to lookup the services. """ return pulumi.get(self, "namespace") @namespace.setter def namespace(self, value: Optional[str]): pulumi.set(self, "namespace", value) @property @pulumi.getter def near(self) -> Optional[str]: return pulumi.get(self, "near") @near.setter def near(self, value: Optional[str]): pulumi.set(self, "near", value) @property @pulumi.getter(name="nodeMeta") def node_meta(self) -> Optional[Mapping[str, str]]: return pulumi.get(self, "node_meta") @node_meta.setter def node_meta(self, value: Optional[Mapping[str, str]]): pulumi.set(self, "node_meta", value) @property @pulumi.getter(name="requireConsistent") def require_consistent(self) -> Optional[bool]: """ When `true` force the client to perform a read on at least quorum servers and verify the result is the same. Defaults to `false`. """ return pulumi.get(self, "require_consistent") @require_consistent.setter def require_consistent(self, value: Optional[bool]): pulumi.set(self, "require_consistent", value) @property @pulumi.getter def token(self) -> Optional[str]: """ Specify the Consul ACL token to use when performing the request. This defaults to the same API token configured by the `consul` provider but may be overridden if necessary. """ return pulumi.get(self, "token") @token.setter def token(self, value: Optional[str]): pulumi.set(self, "token", value) @property @pulumi.getter(name="waitIndex") def wait_index(self) -> Optional[int]: """ Index number used to enable blocking queries. """ return pulumi.get(self, "wait_index") @wait_index.setter def wait_index(self, value: Optional[int]): pulumi.set(self, "wait_index", value) @property @pulumi.getter(name="waitTime") def wait_time(self) -> Optional[str]: """ Max time the client should wait for a blocking query to return. """ return pulumi.get(self, "wait_time") @wait_time.setter def wait_time(self, value: Optional[str]): pulumi.set(self, "wait_time", value)

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39766684fb0c01a1cd78b752933f53ca22adbf4a

22,531

py

Python

scenegraph/exp-official/taskographyv2medium1_FF-X/taskographyv2medium1_FF-X_test.py

taskography/3dscenegraph-dev

2c261241230fbea1f1c687ff793478248f25c02c

[ "MIT" ]

1

2022-01-30T22:06:57.000Z

scenegraph/exp-official/taskographyv2medium1_FF-X/taskographyv2medium1_FF-X_test.py

taskography/3dscenegraph-dev

2c261241230fbea1f1c687ff793478248f25c02c

[ "MIT" ]

null

scenegraph/exp-official/taskographyv2medium1_FF-X/taskographyv2medium1_FF-X_test.py

taskography/3dscenegraph-dev

2c261241230fbea1f1c687ff793478248f25c02c

[ "MIT" ]

null

STATS = [ { "num_node_expansions": 25, "plan_length": 20, "search_time": 0.04, "total_time": 0.04 }, { "num_node_expansions": 22, "plan_length": 18, "search_time": 0.04, "total_time": 0.04 }, { "num_node_expansions": 24, "plan_length": 21, "search_time": 0.33, "total_time": 0.33 }, { "num_node_expansions": 26, "plan_length": 20, "search_time": 0.41, "total_time": 0.41 }, { "num_node_expansions": 19, "plan_length": 14, "search_time": 0.44, "total_time": 0.44 }, { "num_node_expansions": 28, "plan_length": 24, "search_time": 0.76, "total_time": 0.76 }, { "num_node_expansions": 22, "plan_length": 18, "search_time": 0.15, "total_time": 0.15 }, { "num_node_expansions": 19, "plan_length": 17, "search_time": 0.15, "total_time": 0.15 }, { "num_node_expansions": 19, "plan_length": 17, "search_time": 0.03, "total_time": 0.03 }, { "num_node_expansions": 16, "plan_length": 12, "search_time": 0.02, "total_time": 0.02 }, { "num_node_expansions": 13, "plan_length": 11, "search_time": 0.1, "total_time": 0.1 }, { "num_node_expansions": 17, "plan_length": 15, "search_time": 0.1, "total_time": 0.1 }, { "num_node_expansions": 18, "plan_length": 15, "search_time": 0.03, "total_time": 0.03 }, { "num_node_expansions": 12, "plan_length": 10, "search_time": 0.03, "total_time": 0.03 }, { "num_node_expansions": 18, "plan_length": 16, "search_time": 0.04, "total_time": 0.04 }, { "num_node_expansions": 15, "plan_length": 13, "search_time": 0.04, "total_time": 0.04 }, { "num_node_expansions": 27, "plan_length": 23, "search_time": 0.04, "total_time": 0.04 }, { "num_node_expansions": 31, "plan_length": 27, "search_time": 0.04, "total_time": 0.04 }, { "num_node_expansions": 28, "plan_length": 24, "search_time": 0.04, "total_time": 0.04 }, { "num_node_expansions": 18, "plan_length": 16, "search_time": 0.04, "total_time": 0.04 }, { "num_node_expansions": 17, "plan_length": 13, "search_time": 0.15, "total_time": 0.15 }, { "num_node_expansions": 20, "plan_length": 16, "search_time": 0.19, "total_time": 0.19 }, { "num_node_expansions": 16, "plan_length": 13, "search_time": 0.1, "total_time": 0.1 }, { "num_node_expansions": 28, "plan_length": 24, "search_time": 0.21, "total_time": 0.21 }, { "num_node_expansions": 13, "plan_length": 11, "search_time": 0.01, "total_time": 0.01 }, { "num_node_expansions": 19, "plan_length": 16, "search_time": 0.02, "total_time": 0.02 }, { "num_node_expansions": 17, "plan_length": 13, "search_time": 0.22, "total_time": 0.22 }, { "num_node_expansions": 16, "plan_length": 14, "search_time": 0.23, "total_time": 0.23 }, { "num_node_expansions": 20, "plan_length": 15, "search_time": 0.13, "total_time": 0.13 }, { "num_node_expansions": 16, "plan_length": 13, "search_time": 0.12, "total_time": 0.12 }, { "num_node_expansions": 27, "plan_length": 22, "search_time": 0.2, "total_time": 0.2 }, { "num_node_expansions": 21, "plan_length": 16, "search_time": 0.13, "total_time": 0.13 }, { "num_node_expansions": 19, "plan_length": 16, "search_time": 0.15, "total_time": 0.15 }, { "num_node_expansions": 22, "plan_length": 20, "search_time": 0.18, "total_time": 0.18 }, { "num_node_expansions": 25, "plan_length": 19, "search_time": 0.09, "total_time": 0.09 }, { "num_node_expansions": 21, "plan_length": 19, "search_time": 0.1, "total_time": 0.1 }, { "num_node_expansions": 17, "plan_length": 14, "search_time": 0.34, "total_time": 0.34 }, { "num_node_expansions": 38, "plan_length": 33, "search_time": 0.62, "total_time": 0.62 }, { "num_node_expansions": 17, "plan_length": 14, "search_time": 0.1, "total_time": 0.1 }, { "num_node_expansions": 23, "plan_length": 20, "search_time": 0.15, "total_time": 0.15 }, { "num_node_expansions": 21, "plan_length": 17, "search_time": 0.17, "total_time": 0.17 }, { "num_node_expansions": 9, "plan_length": 7, "search_time": 0.09, "total_time": 0.09 }, { "num_node_expansions": 18, "plan_length": 13, "search_time": 0.17, "total_time": 0.17 }, { "num_node_expansions": 29, "plan_length": 27, "search_time": 0.3, "total_time": 0.3 }, { "num_node_expansions": 15, "plan_length": 13, "search_time": 0.42, "total_time": 0.42 }, { "num_node_expansions": 35, "plan_length": 26, "search_time": 0.91, "total_time": 0.91 }, { "num_node_expansions": 18, "plan_length": 16, "search_time": 0.14, "total_time": 0.14 }, { "num_node_expansions": 22, "plan_length": 19, "search_time": 0.2, "total_time": 0.2 }, { "num_node_expansions": 24, "plan_length": 19, "search_time": 0.39, "total_time": 0.39 }, { "num_node_expansions": 17, "plan_length": 15, "search_time": 0.28, "total_time": 0.28 }, { "num_node_expansions": 10, "plan_length": 8, "search_time": 0.04, "total_time": 0.04 }, { "num_node_expansions": 17, "plan_length": 14, "search_time": 0.04, "total_time": 0.04 }, { "num_node_expansions": 28, "plan_length": 25, "search_time": 1.05, "total_time": 1.05 }, { "num_node_expansions": 19, "plan_length": 14, "search_time": 0.74, "total_time": 0.74 }, { "num_node_expansions": 11, "plan_length": 9, "search_time": 0.61, "total_time": 0.61 }, { "num_node_expansions": 39, "plan_length": 34, "search_time": 0.97, "total_time": 0.97 }, { "num_node_expansions": 15, "plan_length": 13, "search_time": 0.01, "total_time": 0.01 }, { "num_node_expansions": 25, "plan_length": 19, "search_time": 0.02, "total_time": 0.02 }, { "num_node_expansions": 20, "plan_length": 18, "search_time": 0.19, "total_time": 0.19 }, { "num_node_expansions": 27, "plan_length": 21, "search_time": 0.25, "total_time": 0.25 }, { "num_node_expansions": 14, "plan_length": 11, "search_time": 0.05, "total_time": 0.05 }, { "num_node_expansions": 31, "plan_length": 24, "search_time": 0.13, "total_time": 0.13 }, { "num_node_expansions": 9, "plan_length": 7, "search_time": 0.37, "total_time": 0.37 }, { "num_node_expansions": 33, "plan_length": 31, "search_time": 0.87, "total_time": 0.87 }, { "num_node_expansions": 18, "plan_length": 15, "search_time": 0.26, "total_time": 0.26 }, { "num_node_expansions": 18, "plan_length": 15, "search_time": 0.18, "total_time": 0.18 }, { "num_node_expansions": 18, "plan_length": 16, "search_time": 0.06, "total_time": 0.06 }, { "num_node_expansions": 18, "plan_length": 13, "search_time": 0.06, "total_time": 0.06 }, { "num_node_expansions": 11, "plan_length": 9, "search_time": 0.1, "total_time": 0.1 }, { "num_node_expansions": 10, "plan_length": 8, "search_time": 0.1, "total_time": 0.1 }, { "num_node_expansions": 18, "plan_length": 14, "search_time": 0.03, "total_time": 0.03 }, { "num_node_expansions": 28, "plan_length": 21, "search_time": 0.06, "total_time": 0.06 }, { "num_node_expansions": 22, "plan_length": 17, "search_time": 0.12, "total_time": 0.12 }, { "num_node_expansions": 12, "plan_length": 10, "search_time": 0.09, "total_time": 0.09 }, { "num_node_expansions": 15, "plan_length": 13, "search_time": 0.0, "total_time": 0.0 }, { "num_node_expansions": 13, "plan_length": 10, "search_time": 0.0, "total_time": 0.0 }, { "num_node_expansions": 22, "plan_length": 20, "search_time": 0.5, "total_time": 0.5 }, { "num_node_expansions": 27, "plan_length": 25, "search_time": 0.57, "total_time": 0.57 }, { "num_node_expansions": 19, "plan_length": 14, "search_time": 0.12, "total_time": 0.12 }, { "num_node_expansions": 13, "plan_length": 10, "search_time": 0.11, "total_time": 0.11 }, { "num_node_expansions": 13, "plan_length": 11, "search_time": 0.0, "total_time": 0.0 }, { "num_node_expansions": 20, "plan_length": 18, "search_time": 0.01, "total_time": 0.01 }, { "num_node_expansions": 20, "plan_length": 17, "search_time": 0.21, "total_time": 0.21 }, { "num_node_expansions": 28, "plan_length": 21, "search_time": 0.23, "total_time": 0.23 }, { "num_node_expansions": 13, "plan_length": 10, "search_time": 0.03, "total_time": 0.03 }, { "num_node_expansions": 17, "plan_length": 15, "search_time": 0.03, "total_time": 0.03 }, { "num_node_expansions": 23, "plan_length": 18, "search_time": 0.08, "total_time": 0.08 }, { "num_node_expansions": 19, "plan_length": 17, "search_time": 0.08, "total_time": 0.08 }, { "num_node_expansions": 22, "plan_length": 17, "search_time": 0.09, "total_time": 0.09 }, { "num_node_expansions": 22, "plan_length": 18, "search_time": 0.09, "total_time": 0.09 }, { "num_node_expansions": 16, "plan_length": 12, "search_time": 0.02, "total_time": 0.02 }, { "num_node_expansions": 14, "plan_length": 10, "search_time": 0.03, "total_time": 0.03 }, { "num_node_expansions": 19, "plan_length": 14, "search_time": 0.01, "total_time": 0.01 }, { "num_node_expansions": 17, "plan_length": 14, "search_time": 0.01, "total_time": 0.01 }, { "num_node_expansions": 22, "plan_length": 20, "search_time": 0.17, "total_time": 0.17 }, { "num_node_expansions": 19, "plan_length": 17, "search_time": 0.15, "total_time": 0.15 }, { "num_node_expansions": 15, "plan_length": 12, "search_time": 0.09, "total_time": 0.09 }, { "num_node_expansions": 21, "plan_length": 18, "search_time": 0.1, "total_time": 0.1 }, { "num_node_expansions": 28, "plan_length": 25, "search_time": 1.75, "total_time": 1.75 }, { "num_node_expansions": 25, "plan_length": 20, "search_time": 1.54, "total_time": 1.54 }, { "num_node_expansions": 9, "plan_length": 7, "search_time": 0.0, "total_time": 0.0 }, { "num_node_expansions": 9, "plan_length": 7, "search_time": 0.01, "total_time": 0.01 }, { "num_node_expansions": 14, "plan_length": 11, "search_time": 0.02, "total_time": 0.02 }, { "num_node_expansions": 19, "plan_length": 15, "search_time": 0.03, "total_time": 0.03 }, { "num_node_expansions": 17, "plan_length": 15, "search_time": 0.1, "total_time": 0.1 }, { "num_node_expansions": 26, "plan_length": 20, "search_time": 0.13, "total_time": 0.13 }, { "num_node_expansions": 13, "plan_length": 10, "search_time": 0.1, "total_time": 0.1 }, { "num_node_expansions": 15, "plan_length": 12, "search_time": 0.11, "total_time": 0.11 }, { "num_node_expansions": 35, "plan_length": 33, "search_time": 0.69, "total_time": 0.69 }, { "num_node_expansions": 33, "plan_length": 28, "search_time": 0.64, "total_time": 0.64 }, { "num_node_expansions": 20, "plan_length": 17, "search_time": 0.07, "total_time": 0.07 }, { "num_node_expansions": 13, "plan_length": 10, "search_time": 0.05, "total_time": 0.05 }, { "num_node_expansions": 16, "plan_length": 12, "search_time": 1.02, "total_time": 1.02 }, { "num_node_expansions": 24, "plan_length": 19, "search_time": 1.73, "total_time": 1.73 }, { "num_node_expansions": 17, "plan_length": 14, "search_time": 0.08, "total_time": 0.08 }, { "num_node_expansions": 24, "plan_length": 18, "search_time": 0.1, "total_time": 0.1 }, { "num_node_expansions": 32, "plan_length": 25, "search_time": 0.4, "total_time": 0.4 }, { "num_node_expansions": 25, "plan_length": 19, "search_time": 0.29, "total_time": 0.29 }, { "num_node_expansions": 21, "plan_length": 17, "search_time": 0.04, "total_time": 0.04 }, { "num_node_expansions": 22, "plan_length": 17, "search_time": 0.04, "total_time": 0.04 }, { "num_node_expansions": 21, "plan_length": 17, "search_time": 0.0, "total_time": 0.0 }, { "num_node_expansions": 22, "plan_length": 20, "search_time": 0.0, "total_time": 0.0 }, { "num_node_expansions": 14, "plan_length": 12, "search_time": 0.13, "total_time": 0.13 }, { "num_node_expansions": 31, "plan_length": 28, "search_time": 0.28, "total_time": 0.28 }, { "num_node_expansions": 17, "plan_length": 14, "search_time": 0.09, "total_time": 0.09 }, { "num_node_expansions": 26, "plan_length": 20, "search_time": 0.13, "total_time": 0.13 }, { "num_node_expansions": 18, "plan_length": 14, "search_time": 0.23, "total_time": 0.23 }, { "num_node_expansions": 16, "plan_length": 12, "search_time": 0.18, "total_time": 0.18 }, { "num_node_expansions": 16, "plan_length": 12, "search_time": 0.02, "total_time": 0.02 }, { "num_node_expansions": 25, "plan_length": 19, "search_time": 0.02, "total_time": 0.02 }, { "num_node_expansions": 17, "plan_length": 12, "search_time": 0.0, "total_time": 0.0 }, { "num_node_expansions": 16, "plan_length": 14, "search_time": 0.0, "total_time": 0.0 }, { "num_node_expansions": 19, "plan_length": 15, "search_time": 0.11, "total_time": 0.11 }, { "num_node_expansions": 18, "plan_length": 13, "search_time": 0.1, "total_time": 0.1 }, { "num_node_expansions": 21, "plan_length": 19, "search_time": 0.01, "total_time": 0.01 }, { "num_node_expansions": 23, "plan_length": 17, "search_time": 0.02, "total_time": 0.02 }, { "num_node_expansions": 19, "plan_length": 13, "search_time": 0.07, "total_time": 0.07 }, { "num_node_expansions": 15, "plan_length": 12, "search_time": 0.06, "total_time": 0.06 }, { "num_node_expansions": 23, "plan_length": 19, "search_time": 0.09, "total_time": 0.09 }, { "num_node_expansions": 20, "plan_length": 18, "search_time": 0.08, "total_time": 0.08 }, { "num_node_expansions": 21, "plan_length": 16, "search_time": 0.26, "total_time": 0.26 }, { "num_node_expansions": 20, "plan_length": 15, "search_time": 0.29, "total_time": 0.29 }, { "num_node_expansions": 18, "plan_length": 16, "search_time": 1.07, "total_time": 1.07 }, { "num_node_expansions": 25, "plan_length": 23, "search_time": 1.64, "total_time": 1.64 }, { "num_node_expansions": 14, "plan_length": 10, "search_time": 0.04, "total_time": 0.04 }, { "num_node_expansions": 17, "plan_length": 13, "search_time": 0.05, "total_time": 0.05 }, { "num_node_expansions": 24, "plan_length": 19, "search_time": 0.05, "total_time": 0.05 }, { "num_node_expansions": 22, "plan_length": 18, "search_time": 0.03, "total_time": 0.03 }, { "num_node_expansions": 15, "plan_length": 12, "search_time": 0.02, "total_time": 0.02 }, { "num_node_expansions": 11, "plan_length": 8, "search_time": 0.01, "total_time": 0.01 }, { "num_node_expansions": 20, "plan_length": 18, "search_time": 0.01, "total_time": 0.01 }, { "num_node_expansions": 27, "plan_length": 23, "search_time": 0.01, "total_time": 0.01 }, { "num_node_expansions": 20, "plan_length": 17, "search_time": 0.35, "total_time": 0.35 }, { "num_node_expansions": 17, "plan_length": 14, "search_time": 0.28, "total_time": 0.28 }, { "num_node_expansions": 15, "plan_length": 12, "search_time": 0.03, "total_time": 0.03 }, { "num_node_expansions": 17, "plan_length": 12, "search_time": 0.04, "total_time": 0.04 }, { "num_node_expansions": 19, "plan_length": 14, "search_time": 0.22, "total_time": 0.22 }, { "num_node_expansions": 39, "plan_length": 33, "search_time": 0.43, "total_time": 0.43 }, { "num_node_expansions": 16, "plan_length": 13, "search_time": 0.14, "total_time": 0.14 }, { "num_node_expansions": 25, "plan_length": 20, "search_time": 0.19, "total_time": 0.19 }, { "num_node_expansions": 21, "plan_length": 16, "search_time": 0.02, "total_time": 0.02 }, { "num_node_expansions": 27, "plan_length": 19, "search_time": 0.03, "total_time": 0.03 }, { "num_node_expansions": 18, "plan_length": 14, "search_time": 0.03, "total_time": 0.03 }, { "num_node_expansions": 16, "plan_length": 14, "search_time": 0.03, "total_time": 0.03 }, { "num_node_expansions": 29, "plan_length": 27, "search_time": 0.05, "total_time": 0.05 }, { "num_node_expansions": 19, "plan_length": 14, "search_time": 0.04, "total_time": 0.04 }, { "num_node_expansions": 21, "plan_length": 18, "search_time": 0.24, "total_time": 0.24 }, { "num_node_expansions": 16, "plan_length": 14, "search_time": 0.28, "total_time": 0.28 }, { "num_node_expansions": 14, "plan_length": 12, "search_time": 0.01, "total_time": 0.01 }, { "num_node_expansions": 17, "plan_length": 14, "search_time": 0.0, "total_time": 0.0 }, { "num_node_expansions": 20, "plan_length": 17, "search_time": 0.51, "total_time": 0.51 }, { "num_node_expansions": 14, "plan_length": 12, "search_time": 0.39, "total_time": 0.39 } ] num_timeouts = 0 num_timeouts = 0 num_problems = 172

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398c5c5fc791abc27536b9f67e84e841d5f2d05b

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py

Python

roa/__init__.py

MatthewScholefield/read-only-attributes

076064482016858fcb05154579579491e1c668e9

[ "MIT" ]

2

2020-02-28T22:33:01.000Z

2020-02-28T22:33:02.000Z

roa/__init__.py

MatthewScholefield/read-only-attributes

076064482016858fcb05154579579491e1c668e9

[ "MIT" ]

5

2020-03-24T18:34:04.000Z

2022-02-02T03:38:55.000Z

roa/__init__.py

MatthewScholefield/read-only-attributes

076064482016858fcb05154579579491e1c668e9

[ "MIT" ]

1

2021-08-10T09:32:14.000Z

from .read_only_attributes import read_only_attributes

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py

Python

dice/dice_arrays.py

JGRainbow/Dicify

75f897e592be7417fa8f0fd3d7563870fbf9e53d

[ "MIT" ]

1

2021-02-10T22:02:04.000Z

dice/dice_arrays.py

JGRainbow/Dicify

75f897e592be7417fa8f0fd3d7563870fbf9e53d

[ "MIT" ]

null

dice/dice_arrays.py

JGRainbow/Dicify

75f897e592be7417fa8f0fd3d7563870fbf9e53d

[ "MIT" ]

null

import numpy as np d_one = np.array([ [0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0] ]) d_two = np.array([ [0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 1, 0], [0, 0, 0, 0, 0, 0, 0] ]) d_three = np.array([ [0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 1, 0], [0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0] ]) d_four = np.array([ [0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 1, 0], [0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 1, 0], [0, 0, 0, 0, 0, 0, 0] ]) d_five = np.array([ [0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 1, 0], [0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 1, 0], [0, 0, 0, 0, 0, 0, 0] ]) d_six = np.array([ [0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 1, 0], [0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 1, 0], [0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 1, 0], [0, 0, 0, 0, 0, 0, 0] ])

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1

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null

0

13

39989884263c2078f2d845c55a0a460c3ff7ecfa

102,398

py

Python

NGDAUpdater/NGDAUpdater.py

mattCensus/PerlScripts

d2643d99abc3f0647ebfbd41f7e5faa704da3e91

[ "MIT" ]

null

NGDAUpdater/NGDAUpdater.py

mattCensus/PerlScripts

d2643d99abc3f0647ebfbd41f7e5faa704da3e91

[ "MIT" ]

null

NGDAUpdater/NGDAUpdater.py

mattCensus/PerlScripts

d2643d99abc3f0647ebfbd41f7e5faa704da3e91

[ "MIT" ]

null

import os import fnmatch import shutil import re import datetime import time #import StringIO import pickle import sys import MetadataDateModules from MetadataDateModules import metadataDateUpdater from MetadataDateModules import TodaysDate datesupdated=[] NewFileArray=[] NationalPlace=[] DatesUpdated=0 FileCounter=0 EndDateStamp='no' # getting today's date using the datetime module PresentDate = datetime.datetime.now() PresentDate.day if PresentDate.hour > 12: PresentHour = PresentDate.hour -12 AmPm='PM"' else: PresentHour =PresentDate.hour AmPm ='AM' presentTime= str(PresentHour) + ":" + str(PresentDate.minute) + ":" + str(PresentDate.second) + AmPm if PresentDate.day < 10: day = "0" + str(PresentDate.day) else: day = PresentDate.day if PresentDate.month < 10: month = "0" + str(PresentDate.month) else: month = PresentDate.month PresentDate2 = str(PresentDate.year) + "-" + str(month) + "-" + str(day) path='C:/Users/mattp/Desktop/WorkFiles/XMLFiles/2020files/ver2/fe_2020/stateNGDA/unsd' # C:\Users\mattp\Desktop\WorkFiles\XMLFiles\2020files\ver2\fe_2020\stateNGDA\anrc\tl_2020_02_anrc.shp.iso.xml # C:\Users\mattp\Desktop\WorkFiles\XMLFiles\2020 files\ver2\fe_2020\NationalNGDA configfiles = [os.path.join(dirpath, f) for dirpath, dirnames, files in os.walk(path) for f in files if f.endswith('.xml')] def DateStampMod(DateStampInd, CurrentDate,ContentIfoInd): print('Now working on '+ CurrentDate) if ContentIfoInd == 'yes': NewFile.write(line) EndDateStamp = 'No' return EndDateStamp elif DateStampInd == 'yes': NewFile.write('<gco:Date>' + PresentDate2 + '</gco:Date>\n') NewFile.write('</gmd:dateStamp>') EndDateStamp= 'No' return EndDateStamp else: NewFile.write('<gmd:dateStamp>') NewFile.write('<gco:Date>' + PresentDate2 + '</gco:Date>\n') NewFile.write('</gmd:dateStamp>') EndDateStamp = 'No' return EndDateStamp def RestServiceFiller (Pass): Theme = Pass print("Now in the RestServiceFiller Module\n") print("Now working on (RestServiceFiller):" + Theme+ "\n") #NewFile.write(' <gmd:alternateTitle>\n') AppProfile1 =' <gmd:applicationProfile>\n' AppProfile2 =' <gco:CharacterString>https://www.geoplatform.gov/spec/esri-map-rest</gco:CharacterString>\n' AppProfile3=' </gmd:applicationProfile>\n' FinalAppProfile= AppProfile1 + AppProfile2 + AppProfile3 NewFile.write('Them: ' + Theme) if re.search('AIANNH', Theme, flags=0): NewFile.write(' <gmd:linkage>\n') NewFile.write(' <gmd:URL>https://tigerweb.geo.census.gov/arcgis/rest/services/TIGERweb/AIANNHA/MapServer</gmd:URL>\n') NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(' <gmd:name>\n') NewFile.write(' <gco:CharacterString>TIGERweb/AIANNHA (MapServer)</gco:CharacterString>\n') NewFile.write(' </gmd:name>\n') NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Rest Service contains all the Current American Indian/Alaska Native/Native Hawaiian Areas National layers</gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') elif re.search('AITS', Theme, flags=0): NewFile.write(' <gmd:linkage>\n') NewFile.write(' <gmd:URL>https://tigerweb.geo.census.gov/arcgis/rest/services/TIGERweb/AIANNHA/MapServer</gmd:URL>\n') NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(' <gmd:name>\n') NewFile.write(' <gco:CharacterString>TIGERweb/AIANNHA (MapServer)</gco:CharacterString>\n') NewFile.write(' </gmd:name>\n') NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Rest Service contains all the Tribal Subdivision and Oklahoma Tribal Statistical Areas layers</gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') elif re.search('BG', theme, flags=0): NewFile.write(' <gmd:linkage>\n') NewFile.write(' <gmd:URL>https://tigerweb.geo.census.gov/arcgis/rest/services/TIGERweb/Tracts_Blocks/MapServer</gmd:URL>\n') NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(' <gmd:name>\n') NewFile.write( ' <gco:CharacterString>TIGERweb/Tracts_Blocks (MapServer)</gco:CharacterString>\n') NewFile.write(' </gmd:name>\n') NewFile.write(' <gmd:description>\n') NewFile.write( ' <gco:CharacterString>This Rest Service contains the 2010 Census Block Groups layer</gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') elif re.search('CBSA', Theme, flags=0): NewFile.write(' <gmd:linkage>\n') NewFile.write(' <gmd:URL>https://tigerweb.geo.census.gov/arcgis/rest/services/TIGERweb/CBSA/MapServer/WMSServer</gmd:URL>\n') NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(' <gmd:name>\n') NewFile.write(' <gco:CharacterString>TIGERweb/CBSA (MapServer)</gco:CharacterString>') NewFile.write(' </gmd:name>\n') NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Rest Service contains the Current Metropolitan Statistical Area/Micropolitan Statistical Area (CBSA) Layers</gco:CharacterString>') NewFile.write(' </gmd:description>\n') elif re.search('Congressional District', Theme, flags=0): NewFile.write(' <gmd:linkage>\n') NewFile.write(' <gmd:URL>https://tigerweb.geo.census.gov/arcgis/rest/services/TIGERweb/Legislative/MapServer</gmd:URL>\n') NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(' <gmd:name>\n') NewFile.write(' <gco:CharacterString>TIGERweb/Legislative (MapServer)</gco:CharacterString>\n') NewFile.write(' </gmd:name>\n') NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Rest Service contains the 116th Congressional layer</gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') elif re.search('CNECTA', Theme, flags=0): NewFile.write(' <gmd:linkage>\n') NewFile.write(' <gmd:URL>https://tigerweb.geo.census.gov/arcgis/rest/services/TIGERweb/CBSA/MapServer/WMSServer</gmd:URL>') NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(' <gmd:name>\n') NewFile.write(' <gco:CharacterString>TIGERweb/CBSA (MapServer)</gco:CharacterString>\n') NewFile.write(' </gmd:name>\n') NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Rest Service contains the Combined New England City and Town Areas layers</gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') elif re.search('estate'): NewFile.write(' <gmd:linkage>\n') NewFile.write(' <gmd:URL>https://tigerweb.geo.census.gov/arcgis/rest/services/TIGERweb/Places_CouSub_ConCity_SubMCD/MapServer</gmd:URL>') NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(' <gmd:name>\n') NewFile.write(' <gco:CharacterString>TIGERweb/Places_CouSub_ConCity_SubMCD (MapServer)</gco:CharacterString>\n') NewFile.write(' </gmd:name>\n') NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Rest Service contains the estates layers</gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') elif re.search('Current County and Equivalent', Theme, flags=0): NewFile.write(' <gmd:linkage>\n') NewFile.write(' <gmd:URL>https://tigerweb.geo.census.gov/arcgis/rest/services/TIGERweb/State_County/MapServer</gmd:URL>') NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(' <gmd:name>\n') NewFile.write(' <gco:CharacterString>TIGERweb/State_County (MapServer)</gco:CharacterString>') NewFile.write(' </gmd:name>\n') NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Rest Service contains the Counties and Equivalent Layer</gco:CharacterString>') NewFile.write(' </gmd:description>\n') elif re.search('CSA', Theme, flags=0): NewFile.write(' <gmd:linkage>\n') NewFile.write(' <gmd:URL>https://tigerweb.geo.census.gov/arcgis/rest/services/TIGERweb/CBSA/MapServer/WMSServer</gmd:URL>\n') NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(' <gmd:name>\n') NewFile.write(' <gco:CharacterString>TIGERweb/CBSA (MapServer)</gco:CharacterString>') NewFile.write(' </gmd:name>\n') NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Rest Service contains the Current Combined Statistical Area (CSA)</gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') elif re.search('Current Metropolitan Division', Theme, flags=0): NewFile.write(' <gmd:linkage>\n') NewFile.write(' <gmd:URL>https://tigerweb.geo.census.gov/arcgis/rest/services/TIGERweb/CBSA/MapServer/WMSServer</gmd:URL>\n') NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(' <gmd:name>\n') NewFile.write(' <gco:CharacterString>TIGERweb/CBSA (MapServer)</gco:CharacterString>\n') NewFile.write(' </gmd:name>\n') NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Rest Service contains the Current Metropolitan Divisions</gco:CharacterString>') NewFile.write(' </gmd:description>\n') elif re.search('NECTA Division National', Theme, flags=0): NewFile.write(' <gmd:linkage>\n') NewFile.write(' <gmd:URL>https://tigerweb.geo.census.gov/arcgis/rest/services/TIGERweb/CBSA/MapServer/WMSServer</gmd:URL>\n') NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(' <gmd:name>\n') NewFile.write(' <gco:CharacterString>TIGERweb/CBSA (MapServer)</gco:CharacterString>\n') NewFile.write(' </gmd:name>\n') NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Rest Service contains the Current New England City and Town Area divisions layer</gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') elif re.search('NECTA', Theme, flags=0): NewFile.write(' <gmd:linkage>\n') NewFile.write(' <gmd:URL>https://tigerweb.geo.census.gov/arcgis/rest/services/TIGERweb/CBSA/MapServer/WMSServer</gmd:URL>\n') NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(' <gmd:name>\n') NewFile.write(' <gco:CharacterString>TIGERweb/CBSA (MapServer)</gco:CharacterString>\n') NewFile.write(' </gmd:name>\n') NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Rest Service contains the Current New England City and Town Areas layer</gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') elif re.search('Current State and Equivalent', Theme, flags=0): NewFile.write(' <gmd:linkage>\n') NewFile.write(' <gmd:URL>https://tigerweb.geo.census.gov/arcgis/rest/services/TIGERweb/State_County/MapServer</gmd:URL>') NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(' <gmd:name>\n') NewFile.write(' <gco:CharacterString>TIGERweb/State_County (MapServer)</gco:CharacterString>') NewFile.write(' </gmd:name>\n') NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Rest Service contains the States and Equivalents Layers</gco:CharacterString>') NewFile.write(' </gmd:description>\n') elif re.search('Current Tribal Block Group', Theme, flags=0): NewFile.write(' <gmd:linkage>\n') NewFile.write(' <gmd:URL>https://tigerweb.geo.census.gov/arcgis/rest/services/TIGERweb/TribalTracts/MapServer</gmd:URL>') NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(' <gmd:name>\n') NewFile.write(' <gco:CharacterString>TIGERweb/TribalTracts (MapServer)</gco:CharacterString>\n') NewFile.write(' </gmd:name>\n') NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Rest Service contains the Tribal Block Group Layers</gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') elif re.search('Current Tribal Census Tract', Theme, flags=0): NewFile.write(' <gmd:linkage>\n') NewFile.write(' <gmd:URL>https://tigerweb.geo.census.gov/arcgis/rest/services/TIGERweb/TribalTracts/MapServer</gmd:URL>\n') NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(' <gmd:name>\n') NewFile.write(' <gco:CharacterString>TIGERweb/TribalTracts (MapServer)</gco:CharacterString>\n') NewFile.write(' </gmd:name>\n') NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Rest Service contains the Tribal Census Tracts Layers</gco:CharacterString>') NewFile.write(' </gmd:description>\n') elif re.search('Census Urban Area', Theme, flags=0): NewFile.write(' <gmd:linkage>\n') NewFile.write(' <gmd:URL>https://tigerweb.geo.census.gov/arcgis/rest/services/TIGERweb/Urban/MapServer</gmd:URL>\n') NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(' <gmd:name>\n') NewFile.write(' <gco:CharacterString>TIGERweb/Urban (MapServer)</gco:CharacterString>') NewFile.write(' </gmd:name>\n') NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Rest Service contains the 2010 Census Urban Area Clusters</gco:CharacterString>') NewFile.write(' </gmd:description>\n') elif re.search('ZCTA5', Theme, flags=0): NewFile.write(' <gmd:linkage>\n') NewFile.write('<gmd:URL>https://tigerweb.geo.census.gov/arcgis/rest/services/TIGERweb/PUMA_TAD_TAZ_UGA_ZCTA/MapServer</gmd:URL>\n') NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(' <gmd:name>\n') NewFile.write(' <gco:CharacterString>TIGERweb/PUMA_TAD_TAZ_UGA_ZCTA (MapServer)</gco:CharacterString>') NewFile.write(' </gmd:name>\n') NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Rest Service contains the Zip Code Tabulation Layer</gco:CharacterString>') NewFile.write(' </gmd:description>\n') elif re.search('Current County Subdivision',Theme, flags=0): NewFile.write(' <gmd:linkage>\n') NewFile.write('<gmd:URL>https://tigerweb.geo.census.gov/arcgis/rest/services/TIGERweb/Places_CouSub_ConCity_SubMCD/MapServer</gmd:URL>\n') NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(' <gmd:name>\n') NewFile.write(' <gco:CharacterString>TIGERweb/Places_CouSub_ConCity_SubMCD (MapServer) (MapServer)</gco:CharacterString>') NewFile.write(' </gmd:name>\n') NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Rest Service contains the County Sudivisions</gco:CharacterString>') NewFile.write(' </gmd:description>\n') elif re.search('Current Place',Theme, flags=0): NewFile.write(' <gmd:linkage>\n') NewFile.write('<gmd:URL>https://tigerweb.geo.census.gov/arcgis/rest/services/TIGERweb/Places_CouSub_ConCity_SubMCD/MapServer</gmd:URL>\n') NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(' <gmd:name>\n') NewFile.write(' <gco:CharacterString>TIGERweb/Places_CouSub_ConCity_SubMCD (MapServer) (MapServer)</gco:CharacterString>') NewFile.write(' </gmd:name>\n') NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Rest Service contains the places</gco:CharacterString>') NewFile.write(' </gmd:description>\n') elif re.search('PUMA',Theme,flags=0): NewFile.write(' <gmd:linkage>\n') NewFile.write('<gmd:URL>https://tigerweb.geo.census.gov/arcgis/rest/services/TIGERweb/PUMA_TAD_TAZ_UGA_ZCTA/MapServer</gmd:URL>\n') NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(' <gmd:name>\n') NewFile.write(' <gco:CharacterString>TIGERweb/PUMA_TAD_TAZ_UGA_ZCTA (MapServer)</gco:CharacterString>') NewFile.write(' </gmd:name>\n') NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Rest Service contains the 2010 Public Use Microdata Area layer</gco:CharacterString>') NewFile.write(' </gmd:description>\n') elif re.search('(SLD) Lower Chamber',Theme,flags=0): NewFile.write(' <gmd:linkage>\n') NewFile.write('<gmd:URL>https://tigerweb.geo.census.gov/arcgis/rest/services/TIGERweb/Legislative/MapServer</gmd:URL>\n') NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(' <gmd:name>\n') NewFile.write( ' <gco:CharacterString>TIGERweb/Legislative (MapServer)</gco:CharacterString>') NewFile.write(' </gmd:name>\n') NewFile.write(' <gmd:description>\n') NewFile.write( ' <gco:CharacterString>This Rest Service contains the state legislative districts - lower chamber (House of Representatives) layer</gco:CharacterString>') NewFile.write(' </gmd:description>\n') elif re.search('Upper Chamber', Theme, flags=0): NewFile.write(' <gmd:linkage>\n') NewFile.write( '<gmd:URL>https://tigerweb.geo.census.gov/arcgis/rest/services/TIGERweb/Legislative/MapServer</gmd:URL>\n') NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(' <gmd:name>\n') NewFile.write(' <gco:CharacterString>TIGERweb/Legislative (MapServer)</gco:CharacterString>\n') NewFile.write(' </gmd:name>\n') NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Rest Service contains the state legislative districts - upper chamber (Senate) layer</gco:CharacterString>') NewFile.write(' </gmd:description>\n') elif re.search('2010 Census',Theme,flags=0): NewFile.write(' <gmd:linkage>\n') NewFile.write('<gmd:URL>https://tigerweb.geo.census.gov/arcgis/rest/services/TIGERweb/Tracts_Blocks/MapServer</gmd:URL>\n') NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(' <gmd:name>\n') NewFile.write(' <gco:CharacterString>TIGERweb/Tracts_Blocks (MapServer)a</gco:CharacterString>\n') NewFile.write(' </gmd:name>\n') NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Rest Service contains the 2010 Census Block layers</gco:CharacterString>') NewFile.write(' </gmd:description>\n') else: NewFile.write(' <gmd:linkage>\n') NewFile.write('<gmd:URL>https://tigerweb.geo.census.gov/arcgis/rest/services/TIGERweb</gmd:URL>\n') NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(' <gmd:name>\n') NewFile.write(' <gco:CharacterString>TIGERweb/</gco:CharacterString>\n') NewFile.write(' </gmd:name>\n') NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Rest Service contains FILL IN HERE!!!!</gco:CharacterString>') NewFile.write(' </gmd:description>\n') def WMSFiller(Pass): Theme = Pass AppProfile1 = ' <gmd:applicationProfile>\n' AppProfile2 = ' <gco:CharacterString>http://opengis.net/spec/wms</gco:CharacterString>\n' AppProfile3 = ' </gmd:applicationProfile>\n' FinalAppProfile = AppProfile1 + AppProfile2 + AppProfile3 Name1=' <gmd:name>\n' Name2=' <gco:CharacterString>TIGERweb/tigerWMS_Current (MapServer)</gco:CharacterString>\n' Name3=' </gmd:name>\n' FinalAppName = Name1 + Name2 + Name3 Current1=' <gmd:linkage>\n' Current2=' <gmd:URL>https://tigerweb.geo.census.gov/arcgis/services/TIGERweb/tigerWMS_Current/MapServer/WMSServer</gmd:URL>\n' Current3=' </gmd:linkage>\n' FinalCurrentWMS = Current1 + Current2 + Current3 if re.search('AIANNH', Theme, flags=0): NewFile.write(FinalCurrentWMS) NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This web mapping service contains the layer for Current American Indian/Alaska Native/Native Hawaiian Areas. This URL is to be used in mapping software like ArcMap. To use this in a web browser, see the OGC Web Mapping Specification. </gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') elif re.search('AITS', Theme, flags=0): NewFile.write(FinalCurrentWMS) NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This web mapping service contains the layer for Current American Indian Tribal Subdivision. This URL is to be used in mapping software like ArcMap. To use this in a web browser, see the OGC Web Mapping Specification.</gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') elif re.search('BG', Theme, flags=0): NewFile.write(FinalCurrentWMS) NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write( ' <gco:CharacterString>This web mapping service contains the layer forBlock Groups. This URL is to be used in mapping software like ArcMap. To use this in a web browser, see the OGC Web Mapping Specification.</gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') elif re.search('CBSA', Theme, flags=0): NewFile.write(FinalCurrentWMS) NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This web mapping service Service contains the Current Metropolitan Statistical Area/Micropolitan Statistical Area (CBSA) Layers. This URL is to be used in mapping software like ArcMap. To use this in a web browser, see the OGC Web Mapping Specification</gco:CharacterString>') NewFile.write(' </gmd:description>\n') elif re.search('Congressional District', Theme, flags=0): NewFile.write(FinalCurrentWMS) NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This web mapping service contains the layer for 116th Congressional Districts. This URL is to be used in mapping software like ArcMap. To use this in a web browser, see the OGC Web Mapping Specification.</gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') elif re.search('CNECTA', Theme, flags=0): NewFile.write(FinalCurrentWMS) NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This web mapping service contains the layer for the Combined New England City and Town Areas. This URL is to be used in mapping software like ArcMap. To use this in a web browser, see the OGC Web Mapping Specification.</gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') elif re.search('Current County and Equivalent', Theme, flags=0): NewFile.write(FinalCurrentWMS) NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This web mapping service contains the layer for the Current County and Equivalent. This URL is to be used in mapping software like ArcMap. To use this in a web browser, see the OGC Web Mapping Specification.</gco:CharacterString>') NewFile.write(' </gmd:description>\n') elif re.search('CSA', Theme, flags=0): NewFile.write(FinalCurrentWMS) NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This web mapping service contains the layer for the Current Combined Statistical Area (CSA). This URL is to be used in mapping software like ArcMap. To use this in a web browser, see the OGC Web Mapping Specification.</gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') elif re.search ('estates', Theme, flags=0): NewFile.write(FinalCurrentWMS) NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This web mapping service contains the layer for the estates in the Virgin Islands. This URL is to be used in mapping software like ArcMap. To use this in a web browser, see the OGC Web Mapping Specification.</gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') elif re.search('Current Metropolitan Division', Theme, flags=0): NewFile.write(FinalCurrentWMS) NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This web mapping service contains the layer for the Current Metropolitan Division. This URL is to be used in mapping software like ArcMap. To use this in a web browser, see the OGC Web Mapping Specification.</gco:CharacterString>') NewFile.write(' </gmd:description>\n') elif re.search('NECTA Division National', Theme, flags=0): NewFile.write(FinalCurrentWMS) NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This web mapping service contains the layer for the New England City and Town Area Divisions. This URL is to be used in mapping software like ArcMap. To use this in a web browser, see the OGC Web Mapping Specification.</gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') elif re.search('NECTA', Theme, flags=0): NewFile.write(FinalCurrentWMS) NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This web mapping service contains the layer for the Current New England City and Town Areas. This URL is to be used in mapping software like ArcMap. To use this in a web browser, see the OGC Web Mapping Specification.</gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') elif re.search('Current State and Equivalent', Theme, flags=0): NewFile.write(FinalCurrentWMS) NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This web mapping service contains the layer for the States and Equivalents. This URL is to be used in mapping software like ArcMap. To use this in a web browser, see the OGC Web Mapping Specification. </gco:CharacterString>') NewFile.write(' </gmd:description>\n') elif re.search('Current Tribal Block Group', Theme, flags=0): NewFile.write(FinalCurrentWMS) NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This web mapping service contains the layer for Current Tribal Block Groups. This URL is to be used in mapping software like ArcMap. To use this in a web browser, see the OGC Web Mapping Specification.</gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') elif re.search('Current Tribal Census Tract', Theme, flags=0): NewFile.write(FinalCurrentWMS) NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This web mapping service contains the layer for Current Tribal Census Tracts. This URL is to be used in mapping software like ArcMap. To use this in a web browser, see the OGC Web Mapping Specification.</gco:CharacterString>') NewFile.write(' </gmd:description>\n') elif re.search('Census Urban Area', Theme, flags=0): NewFile.write(FinalCurrentWMS) NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>TThis web mapping service contains the layer for the 2010 Census Urban Area Clusters. This URL is to be used in mapping software like ArcMap. To use this in a web browser, see the OGC Web Mapping Specification.</gco:CharacterString>') NewFile.write(' </gmd:description>\n') elif re.search('ZCTA5', Theme, flags=0): NewFile.write(FinalCurrentWMS) NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This web mapping service contains the layer for the Zip Code Tabulation Areas. This URL is to be used in mapping software like ArcMap. To use this in a web browser, see the OGC Web Mapping Specification.</gco:CharacterString>') NewFile.write(' </gmd:description>\n') elif re.search('Current County Subdivision',Theme, flags=0): NewFile.write(FinalCurrentWMS) NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This web mapping service contains the layer for the County Sudivisions. This URL is to be used in mapping software like ArcMap. To use this in a web browser, see the OGC Web Mapping Specification. </gco:CharacterString>') NewFile.write(' </gmd:description>\n') elif re.search('Current Place',Theme,flags=0): NewFile.write(FinalCurrentWMS) NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This web mapping service contains the layer for the places. This URL is to be used in mapping software like ArcMap. To use this in a web browser, see the OGC Web Mapping Specification. </gco:CharacterString>') NewFile.write(' </gmd:description>\n') elif re.search('PUMA',Theme,flags=0): NewFile.write(FinalCurrentWMS) NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This web mapping service contains the layer for the 2010 Public Use Microdata Areas. This URL is to be used in mapping software like ArcMap. To use this in a web browser, see the OGC Web Mapping Specification. </gco:CharacterString>') NewFile.write(' </gmd:description>\n') elif re.search('(SLD) Lower Chamber',Theme,flags=0): NewFile.write(FinalCurrentWMS) NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This web mapping service contains the layer for state legislative districts - lower chamber. This URL is to be used in mapping software like ArcMap. To use this in a web browser, see the OGC Web Mapping Specification. </gco:CharacterString>') NewFile.write(' </gmd:description>\n') elif re.search('Upper Chamber', Theme, flags=0): NewFile.write(FinalCurrentWMS) NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This web mapping service contains the layer for state legislative districts - upper chamber. This URL is to be used in mapping software like ArcMap. To use this in a web browser, see the OGC Web Mapping Specification. </gco:CharacterString>') NewFile.write(' </gmd:description>\n') elif re.search('2010 Census Block', Theme,flags=0): NewFile.write(FinalCurrentWMS) NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This web mapping service contains the layer for 2010 Census Blocks. This URL is to be used in mapping software like ArcMap. To use this in a web browser, see the OGC Web Mapping Specification. </gco:CharacterString>') NewFile.write(' </gmd:description>\n') elif re.search('2020 Census Block', Theme, flags=0): NewFile.write(FinalCurrentWMS) NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This web mapping service contains the layer for 2020 Census Blocks. This URL is to be used in mapping software like ArcMap. To use this in a web browser, see the OGC Web Mapping Specification. </gco:CharacterString>') NewFile.write(' </gmd:description>\n') elif re.search('Current Census Tract', Theme, flags=0): NewFile.write(FinalCurrentWMS) NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This web mapping service contains the layer for 2010 Census Tracts. This URL is to be used in mapping software like ArcMap. To use this in a web browser, see the OGC Web Mapping Specification. </gco:CharacterString>') NewFile.write(' </gmd:description>\n') else: NewFile.write(FinalCurrentWMS) NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This web mapping service contains the layer for the '+ Theme+ '. This URL is to be used in mapping software like ArcMap. To use this in a web browser, see the OGC Web Mapping Specification.</gco:CharacterString>') NewFile.write(' </gmd:description>\n') def ThemeDir (Pass): Theme = Pass #print("Now in theThemeDir Module\n") #print("Now working on:" + Theme) if re.search('AIANNH',Theme, flags=0): return 'aiannh' elif re.search('aitsn',Theme,flags=0): return 'aitsn' elif re.search('BG',Theme,flags=0): return'bg' elif re.search('CBSA',Theme,flags=0): return 'cbsa' elif re.search('Congressional District',Theme,flags=0): return 'cd116' elif re.search('CNECTA',Theme,flags=0): return 'cnecta' elif re.search('Current County and Equivalent',Theme,flags=0): return 'county' elif re.search('CSA',Theme,flags=0): return 'csa' elif re.search('Current Metropolitan Division',Theme,flags=0): return 'metdiv' elif re.search('NECTA Division National',Theme,flags=0): return 'nectadiv' elif re.search('NECTA',Theme,flags=0): return 'necta' elif re.search('Current State and Equivalent',Theme,flags=0): return 'state' elif re.search('Current Tribal Block Group',Theme,flags=0): return 'tbg' elif re.search('Current Tribal Census Tract',Theme,flags=0): return 'ttract' elif re.search('Census Urban Area',Theme,flags=0): return 'uac10' elif re.search('ZCTA5',Theme,flags=0): return 'zcta510' elif re.search('Current Block Group',Theme,flags=0): return 'bg' elif re.search('Current County Subdivision',Theme,flags=0): return'cousub' elif re.search('Current Place',Theme,flags=0): return 'place' elif re.search('PUMA',Theme,flags=0): return 'puma10' elif re.search('(SLD) Lower Chamber',Theme,flags=0): return'sldl' elif re.search('Lower Chamber',Theme,flags=0): return 'sldl' elif re.search('Upper Chamber', Theme, flags=0): return'sldu' elif re.search('2010 Census Block',Theme,flags=0): return 'tabblock10' elif re.search('2020 Census Block',Theme,flags=0): return 'tabblock20' elif re.search('Current Census Tract',Theme,flags=0): return 'tract' elif re.search('Current Unified School Districts Shapefile',Theme,flags=0): return'unsd' else: return 'Fill_in- for(ThemeDir)' + Theme def EAFileFiller(Pass): Theme = Pass AppProfile1 = ' <gmd:applicationProfile>\n' AppProfile2 = ' <gco:CharacterString>https</gco:CharacterString>\n' AppProfile3 = ' </gmd:applicationProfile>\n' FinalAppProfile = AppProfile1 + AppProfile2 + AppProfile3 Name1 = ' <gmd:name>\n' Name2 = ' <gco:CharacterString>Entity and Attribute File</gco:CharacterString>\n' Name3 = ' </gmd:name>\n' FinalAppName = Name1 + Name2 + Name3 if re.search('AIANNH', Theme, flags=0): NewFile.write(' <gmd:linkage>\n') EAFirstPart = ' <gmd:URL>https://www2.census.gov/geo/tiger/TIGER2020/' EATheme= str(ThemeDir(Theme)) eafileName='tl_2020_'+ EATheme + '.ea.iso.xml' eaUrL= EAFirstPart + '/'+ EATheme + '/' + eafileName+ '</gmd:URL>' NewFile.write(eaUrL) NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Entity and attribute contains the attributes for the the Current American Indian/Alaska Native/Native Hawaiian Areas National (AIANNH) National Shapefile </gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') elif re.search('AITS', Theme, flags=0): NewFile.write(' <gmd:linkage>\n') EAFirstPart = ' <gmd:URL>https://www2.census.gov/geo/tiger/TIGER2020/' EATheme= str(ThemeDir(Theme)) eafileName = 'tl_2020_' + EATheme + '.ea.iso.xml' eaUrL= EAFirstPart + '/'+ EATheme + '/' + eafileName+ '</gmd:URL>' NewFile.write(eaUrL) NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Entity and attribute contains the attributes for the the Current American Indian Tribal Subdivision (AITS) National Shapefile </gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') elif re.search('BG', Theme, flags=0): NewFile.write(' <gmd:linkage>\n') EAFirstPart = ' <gmd:URL>https://www2.census.gov/geo/tiger/TIGER2020/' EATheme = str(ThemeDir(Theme)) eafileName = 'tl_2020_' + EATheme + '.ea.iso.xml' eaUrL = EAFirstPart + '/' + EATheme + '/' + eafileName + '</gmd:URL>' NewFile.write(eaUrL) NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write( ' <gco:CharacterString>This Entity and attribute contains the attributes for the the Current Block Groups State Shapefile </gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') elif re.search('Current Block Group', Theme, flags=0): NewFile.write(' <gmd:linkage>\n') EAFirstPart = ' <gmd:URL>https://www2.census.gov/geo/tiger/TIGER2020/' EATheme = str(ThemeDir(Theme)) eafileName = 'tl_2020_' + EATheme + '.ea.iso.xml' eaUrL = EAFirstPart + '/' + EATheme + '/' + eafileName + '</gmd:URL>' NewFile.write(eaUrL) NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write( ' <gco:CharacterString>This Entity and attribute contains the attributes for the the Current Block Groups State Shapefile </gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') elif re.search('CBSA', Theme, flags=0): NewFile.write(' <gmd:linkage>\n') EAFirstPart = ' <gmd:URL>https://www2.census.gov/geo/tiger/TIGER2020/' EATheme= str(ThemeDir(Theme)) eafileName = 'tl_2020_' + EATheme + '.ea.iso.xml' eaUrL= EAFirstPart + '/'+ EATheme + '/' + eafileName+ '</gmd:URL>' NewFile.write(eaUrL) NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Entity and attribute contains the attributes for the the Current Metropolitan Statistical Area/Micropolitan Statistical Area (CBSA) National Shapefile</gco:CharacterString>') NewFile.write(' </gmd:description>\n') elif (re.search('estates', Theme, flags=0)): NewFile.write(' <gmd:linkage>\n') EAFirstPart = ' <gmd:URL>https://www2.census.gov/geo/tiger/TIGER2020/' EATheme = str(ThemeDir(Theme)) eafileName = 'tl_2020_' + EATheme + '.ea.iso.xml' eaUrL = EAFirstPart + '/' + EATheme + '/' + eafileName + '</gmd:URL>' NewFile.write(eaUrL) NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Entity and attribute contains the attributes for the the Current estates state Shapefile</gco:CharacterString>') NewFile.write(' </gmd:description>\n') elif re.search('Congressional District', Theme, flags=0): NewFile.write(' <gmd:linkage>\n') EAFirstPart = ' <gmd:URL>https://www2.census.gov/geo/tiger/TIGER2020/' EATheme= str(ThemeDir(Theme)) eafileName = 'tl_2020_' + EATheme + '.ea.iso.xml' eaUrL= EAFirstPart + '/'+ EATheme + '/' + eafileName+ '</gmd:URL>' NewFile.write(eaUrL) NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Entity and attribute contains the attributes for the the 116th Congressional District National Shapefile</gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') elif re.search('CNECTA', Theme, flags=0): NewFile.write(' <gmd:linkage>\n') EAFirstPart = ' <gmd:URL>https://www2.census.gov/geo/tiger/TIGER2020/' EATheme= str(ThemeDir(Theme)) eafileName = 'tl_2020_' + EATheme + '.ea.iso.xml' eaUrL= EAFirstPart + '/'+ EATheme + '/' + eafileName+ '</gmd:URL>' NewFile.write(eaUrL) NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Entity and attribute contains the attributes for the the Current Combined New England City and Town Area (CNECTA) National Shapefile</gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') elif re.search('Current County and Equivalent', Theme, flags=0): NewFile.write(' <gmd:linkage>\n') EAFirstPart = ' <gmd:URL>https://www2.census.gov/geo/tiger/TIGER2020/' EATheme= str(ThemeDir(Theme)) eafileName = 'tl_2020_' + EATheme + '.ea.iso.xml' eaUrL= EAFirstPart + '/'+ EATheme + '/' + eafileName+ '</gmd:URL>' NewFile.write(eaUrL) NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Entity and attribute contains the attributes for the the Current County and Equivalent National Shapefile </gco:CharacterString>') NewFile.write(' </gmd:description>\n') elif re.search('CSA', Theme, flags=0): NewFile.write(' <gmd:linkage>\n') EAFirstPart = ' <gmd:URL>https://www2.census.gov/geo/tiger/TIGER2020/' EATheme= str(ThemeDir(Theme)) eafileName = 'tl_2020_' + EATheme + '.ea.iso.xml' eaUrL= EAFirstPart + '/'+ EATheme + '/' + eafileName+ '</gmd:URL>' NewFile.write(eaUrL) NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Entity and attribute contains the attributes for the the Current Combined Statistical Area (CSA) National Shapefile</gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') elif re.search('Current Metropolitan Division', Theme, flags=0): NewFile.write(' <gmd:linkage>\n') EAFirstPart = ' <gmd:URL>https://www2.census.gov/geo/tiger/TIGER2020/' EATheme= str(ThemeDir(Theme)) eafileName = 'tl_2020_' + EATheme + '.ea.iso.xml' eaUrL= EAFirstPart + '/'+ EATheme + '/' + eafileName+ '</gmd:URL>' NewFile.write(eaUrL) NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Entity and attribute contains the attributes for the the Current Metropolitan Division National Shapefile</gco:CharacterString>') NewFile.write(' </gmd:description>\n') elif re.search('NECTA Division National', Theme, flags=0): NewFile.write(' <gmd:linkage>\n') EAFirstPart = ' <gmd:URL>https://www2.census.gov/geo/tiger/TIGER2020/' EATheme= str(ThemeDir(Theme)) eafileName = 'tl_2020_' + EATheme + '.ea.iso.xml' eaUrL= EAFirstPart + '/'+ EATheme + '/' + eafileName+ '</gmd:URL>' NewFile.write(eaUrL) NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Entity and attribute contains the attributes for the Current NECTA Division National Shapefile</gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') elif re.search('NECTA', Theme, flags=0): NewFile.write(' <gmd:linkage>\n') EAFirstPart = ' <gmd:URL>https://www2.census.gov/geo/tiger/TIGER2020/' EATheme= str(ThemeDir(Theme)) eafileName = 'tl_2020_' + EATheme + '.ea.iso.xml' eaUrL= EAFirstPart + '/'+ EATheme + '/' + eafileName+ '</gmd:URL>' NewFile.write(eaUrL) NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Entity and attribute contains the attributes for the Current New England City and Town Area (NECTA) National Shapefile</gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') elif re.search('Current State and Equivalent', Theme, flags=0): NewFile.write(' <gmd:linkage>\n') EAFirstPart = ' <gmd:URL>https://www2.census.gov/geo/tiger/TIGER2020/' EATheme= str(ThemeDir(Theme)) eafileName = 'tl_2020_' + EATheme + '.ea.iso.xml' eaUrL= EAFirstPart + '/'+ EATheme + '/' + eafileName+ '</gmd:URL>' NewFile.write(eaUrL) NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Entity and attribute contains the attributes for the Current State and Equivalent National Shapefile </gco:CharacterString>') NewFile.write(' </gmd:description>\n') elif re.search('Current Tribal Block Group', Theme, flags=0): NewFile.write(' <gmd:linkage>\n') EAFirstPart = ' <gmd:URL>https://www2.census.gov/geo/tiger/TIGER2020/' EATheme= str(ThemeDir(Theme)) eafileName = 'tl_2020_' + EATheme + '.ea.iso.xml' eaUrL= EAFirstPart + '/'+ EATheme + '/' + eafileName+ '</gmd:URL>' NewFile.write(eaUrL) NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Entity and attribute contains the attributes for the Current Tribal Block Group National Shapefile</gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') elif re.search('Current Tribal Census Tract', Theme, flags=0): NewFile.write(' <gmd:linkage>\n') EAFirstPart = ' <gmd:URL>https://www2.census.gov/geo/tiger/TIGER2020/' EATheme= str(ThemeDir(Theme)) eafileName = 'tl_2020_' + EATheme + '.ea.iso.xml' eaUrL= EAFirstPart + '/'+ EATheme + '/' + eafileName+ '</gmd:URL>' NewFile.write(eaUrL) NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Entity and attribute contains the attributes for the Current Tribal Census Tract National Shapefile</gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') elif re.search('Census Urban Area', Theme, flags=0): NewFile.write(' <gmd:linkage>\n') EAFirstPart = ' <gmd:URL>https://www2.census.gov/geo/tiger/TIGER2020/' EATheme= str(ThemeDir(Theme)) eafileName = 'tl_2020_' + EATheme + '.ea.iso.xml' eaUrL= EAFirstPart + '/'+ EATheme + '/' + eafileName+ '</gmd:URL>' NewFile.write(eaUrL) NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Entity and attribute contains the attributes for the Census Urban Area National Shapefile</gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') elif re.search('ZCTA5', Theme, flags=0): NewFile.write(' <gmd:linkage>\n') EAFirstPart = ' <gmd:URL>https://www2.census.gov/geo/tiger/TIGER2020/' EATheme= str(ThemeDir(Theme)) eafileName = 'tl_2020_' + EATheme + '.ea.iso.xml' eaUrL= EAFirstPart + '/'+ EATheme + '/' + eafileName+ '</gmd:URL>' NewFile.write(eaUrL) NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Entity and attribute contains the attributes for the Census 5-Digit ZIP Code Tabulation Area (ZCTA5) National Shapefile</gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') elif re.search('Current County Subdivision',Theme,flags=0): NewFile.write(' <gmd:linkage>\n') EAFirstPart = ' <gmd:URL>https://www2.census.gov/geo/tiger/TIGER2020/' EATheme = str(ThemeDir(Theme)) eafileName = 'tl_2020_' + EATheme + '.ea.iso.xml' eaUrL = EAFirstPart + '/' + EATheme + '/' + eafileName + '</gmd:URL>\n' NewFile.write(eaUrL) NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write( ' <gco:CharacterString>This Entity and attribute contains the attributes for the Current County Subdivision State Shapefiles</gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') elif re.search('Current Place',Theme,flags=0): NewFile.write(' <gmd:linkage>\n') EAFirstPart = ' <gmd:URL>https://www2.census.gov/geo/tiger/TIGER2020/' EATheme = str(ThemeDir(Theme)) eafileName = 'tl_2020_' + EATheme + '.ea.iso.xml' eaUrL = EAFirstPart + '/' + EATheme + '/' + eafileName + '</gmd:URL>' NewFile.write(eaUrL) NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write( ' <gco:CharacterString>This Entity and attribute contains the attributes for the place State Shapefiles</gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') elif re.search('PUMA',Theme,flags=0): NewFile.write(' <gmd:linkage>\n') EAFirstPart = ' <gmd:URL>https://www2.census.gov/geo/tiger/TIGER2020/' EATheme = str(ThemeDir(Theme)) eafileName = 'tl_2020_' + EATheme + '.ea.iso.xml' eaUrL = EAFirstPart + '/' + EATheme + '/' + eafileName + '</gmd:URL>' NewFile.write(eaUrL) NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Entity and attribute contains the attributes for the PUMA State Shapefiles</gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') elif re.search('Upper Chamber',Theme,flags=0): NewFile.write(' <gmd:linkage>\n') EAFirstPart = ' <gmd:URL>https://www2.census.gov/geo/tiger/TIGER2020/' EATheme = str(ThemeDir(Theme)) eafileName = 'tl_2020_' + EATheme + '.ea.iso.xml' eaUrL = EAFirstPart + '/' + EATheme + '/' + eafileName + '</gmd:URL>\n' NewFile.write(eaUrL) NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Entity and attribute contains the attributes for the PUMA State Shapefiles</gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') elif re.search('2010 Census Block',Theme,flags=0): NewFile.write(' <gmd:linkage>\n') EAFirstPart = ' <gmd:URL>https://www2.census.gov/geo/tiger/TIGER2020/' EATheme = str(ThemeDir(Theme)) eafileName = 'tl_2020_' + EATheme + '.ea.iso.xml' eaUrL = EAFirstPart + '/' + EATheme + '/' + eafileName + '</gmd:URL>\n' NewFile.write(eaUrL) NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Entity and attribute contains the attributes for the Tabblock10 State Shapefiles</gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') elif re.search('2020 Census Block',Theme,flags=0): NewFile.write(' <gmd:linkage>\n') EAFirstPart = ' <gmd:URL>https://www2.census.gov/geo/tiger/TIGER2020/' EATheme = str(ThemeDir(Theme)) eafileName = 'tl_2020_' + EATheme + '.ea.iso.xml' eaUrL = EAFirstPart + '/' + EATheme + '/' + eafileName + '</gmd:URL>\n' NewFile.write(eaUrL) NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Entity and attribute contains the attributes for the Tabblock10 State Shapefiles</gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') elif re.search('Current Census Tract',Theme,flags=0): NewFile.write(' <gmd:linkage>\n') EAFirstPart = ' <gmd:URL>https://www2.census.gov/geo/tiger/TIGER2020/' EATheme = str(ThemeDir(Theme)) eafileName = 'tl_2020_' + EATheme + '.ea.iso.xml' eaUrL = EAFirstPart + '/' + EATheme + '/' + eafileName + '</gmd:URL>\n' NewFile.write(eaUrL) NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>This Entity and attribute contains the attributes for the Tract State Shapefiles</gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') elif re.search('Current Unified School Districts Shapefile',Theme,flags=0): NewFile.write(' <gmd:linkage>\n') EAFirstPart = ' <gmd:URL>https://www2.census.gov/geo/tiger/TIGER2020/' EATheme = str(ThemeDir(Theme)) eafileName = 'tl_2020_' + EATheme + '.ea.iso.xml' eaUrL = EAFirstPart + '/' + EATheme + '/' + eafileName + '</gmd:URL>\n' NewFile.write(eaUrL) NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write( ' <gco:CharacterString>This Entity and attribute contains the attributes for the Unified School Districts State Shapefiles</gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') else: NewFile.write(' <gmd:linkage>\n') EAFirstPart = ' <gmd:URL>https://www2.census.gov/geo/tiger/TIGER2020/' EATheme = str(ThemeDir(Theme)) eafileName = 'tl_2020_' + EATheme + '.ea.iso.xml' eaUrL = EAFirstPart + '/' + EATheme + '/' + eafileName + '</gmd:URL>' NewFile.write(eaUrL) NewFile.write(' </gmd:linkage>\n') NewFile.write(FinalAppProfile) NewFile.write(FinalAppName) NewFile.write(' <gmd:description>\n') NewFile.write(' <gco:CharacterString>' + Theme + '</gco:CharacterString>\n') NewFile.write(' </gmd:description>\n') def eaUrl(Pass): Theme = Pass #print("Now in the eaUrl Module\n") #print("Now working on:" + Theme) EATheme = str(ThemeDir(Theme)) FirstPartUrl='https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/' YearDir='Tiger2020' EAFileName='tl_2020_' + EATheme + '.shp.ea.iso.xml' FinalEaFile= FirstPartUrl + '/' + YearDir + "/" + EATheme + '/' + EAFileName +'\n' return FinalEaFile def eaTitle(Pass): Theme = Pass #print("Now in the eaTitle Module\n") #print("Now working on:" + Theme) if re.search('AIANNH', Theme, flags=0): return '<gco:CharacterString>Feature Catalog for the 2020 Current American Indian/Alaska Native/Native Hawaiian Areas National (AIANNH) National Shapefile</gco:CharacterString>\n' elif re.search('AITS', Theme, flags=0): return '<gco:CharacterString>Feature Catalog for the 2020 Current American Indian Tribal Subdivision (AITS) National Shapefile</gco:CharacterString>\n' elif re.search ('BG', Theme, flags=0): return 'Feature Catalog for the 2020 TIGER/Line Shapefile Current Block Group State-based Shapefile\n' elif re.search('CBSA', Theme, flags=0): return '<gco:CharacterString>Feature Catalog for the 2020 Current Metropolitan Statistical Area/Micropolitan Statistical Area (CBSA) National Shapefile</gco:CharacterString>\n' elif re.search('Congressional District', Theme, flags=0): return '<gco:CharacterString>Feature Catalog for the 2020 116th Congressional District National Shapefile</gco:CharacterString>\n' elif re.search('CNECTA', Theme, flags=0): return '<gco:CharacterString>Feature Catalog for the Current 2020 Combined New England City and Town Area (CNECTA) National Shapefile</gco:CharacterString>\n' elif re.search('Current County and Equivalent', Theme, flags=0): return '<gco:CharacterString>Feature Catalog for the 2020 Current County and Equivalent National Shapefile</gco:CharacterString>\n' elif re.search('CSA', Theme, flags=0): return '<gco:CharacterString>Feature Catalog for the 2020 Current Combined Statistical Area (CSA) National Shapefile</gco:CharacterString>\n' elif re.search('Current Metropolitan Division', Theme, flags=0): return '<gco:CharacterString>Feature Catalog for the 2020 Current Metropolitan Division National Shapefile</gco:CharacterString>\n' elif re.search('NECTA Division National', Theme, flags=0): return '<gco:CharacterString>Feature Catalog for the 2020 Current NECTA Division National Shapefile</gco:CharacterString>\n' elif re.search('NECTA', Theme, flags=0): return '<gco:CharacterString>Feature Catalog for the 2020 Current New England City and Town Area (NECTA) National Shapefile</gco:CharacterString>\n' elif re.search('Current State and Equivalent', Theme, flags=0): return '<gco:CharacterString>Feature Catalog for the 2020 Current State and Equivalent National Shapefile</gco:CharacterString>\n' elif re.search('Current Tribal Block Group', Theme, flags=0): return '<gco:CharacterString>Feature Catalog for the 2020 Current Tribal Block Group National Shapefile</gco:CharacterString>\n' elif re.search('Current Tribal Census Tract', Theme, flags=0): return '<gco:CharacterString>Feature Catalog for the 2020 Current Tribal Census Tract National Shapefile</gco:CharacterString>\n' elif re.search('Census Urban Area', Theme, flags=0): return '<gco:CharacterString>Feature Catalog for the 2010 Census Urban Area National Shapefile</gco:CharacterString>\n' elif re.search('ZCTA5', Theme, flags=0): return '<gco:CharacterString>Feature Catalog for the 2020 2010 Census 5-Digit ZIP Code Tabulation Area (ZCTA5) National Shapefile</gco:CharacterString>\n' elif re.search('estate', Theme, flags=0): return '<gco:CharacterString>Feature Catalog for the 2020 TIGER/Line Shapefile Current Estate State-based Shapefile (U.S. Virgin Islands only)</gco:CharacterString>\n' elif re.search('Current Block Group', Theme, flags=0): return '<gco:CharacterString>Feature Catalog for the 2020 TIGER/Line Shapefile Current Block Group State-based Shapefile</gco:CharacterString>\n' elif re.search('Current County Subdivision', Theme, flags=0): return'<gco:CharacterString>Feature Catalog for the 2020 TIGER/Line Shapefile Current County Subdivision State-based Shapefile</gco:CharacterString>\n' elif re.search('Current Place',Theme,flags=0): return'<gco:CharacterString>Feature Catalog for the 2020 TIGER/Line Shapefile Current Place State-based Shapefile</gco:CharacterString>\n' elif re.search('PUMA',Theme,flags=0): return '<gco:CharacterString>Feature Catalog for the 2020 TIGER/Line Shapefile Public Use Microdata Area (PUMA) State-based Shapefile</gco:CharacterString>\n' elif re.search('Lower Chamber',Theme,flags=0): return '<gco:CharacterString>Feature Catalog for the 2020 TIGER/Line Shapefile Current State Legislative District (SLD) Lower Chamber State-based Shapefile</gco:CharacterString>\n' elif re.search('Upper Chamber',Theme, flags=0): return '<gco:CharacterString>Feature Catalog for the 2020 TIGER/Line Shapefile Current State Legislative District (SLD) Upper Chamber State-based Shapefile</gco:CharacterString>\n' elif re.search('2010 Census Block',Theme,flags=0): return'<gco:CharacterString>Feature Catalog for the 2020 TIGER/Line Shapefile 2010 Census Block state based Shapefile</gco:CharacterString>\n' elif re.search('2020 Census Block',Theme,flags=0): return '<gco:CharacterString>Feature Catalog for the 2020 TIGER/Line Shapefile 2020 Census Block state based Shapefile</gco:CharacterString>\n' elif re.search('Current Census Tract',Theme,flags=0): return '<gco:CharacterString>Feature Catalog for the 2020 TIGER/Line Shapefile 2020 tracts state based Shapefile</gco:CharacterString>\n' elif re.search('unsd',Theme,flags=0): return'<gco:CharacterString>Feature Catalog for the 2020 TIGER/Line Shapefile Current Unified School Districts Shapefile State-based</gco:CharacterString>\n' elif re.search('Current Unified School Districts Shapefile',Theme,flags=0): return '<gco:CharacterString>Feature Catalog for the 2020 TIGER/Line Shapefile Current Unified School Districts Shapefile State-based</gco:CharacterString>\n' else: return '<gco:CharacterString> The theme is ' + Theme +'(eatitle)</gco:CharacterString>\n' if os.path.exists(path): print("The " + path + " directory exists") else: print("Could not find " + path + ". Please make sure the path is correct") sys.exit(1) def keywordCounter(input): file=input KeywordModCounter=0 ReadFile = open(file, "r") for line in ReadFile: if re.search('<gmd:keyword>',line,flags=0): KeywordModCounter+=1 else: continue FinalKeyword= KeywordModCounter-3 return FinalKeyword for file in configfiles: transferOptionsCounter=0 linkageCounter=0 editionCounter=0 FileCounter += 1 gmdDateCounter=0 KeywordModCounter=0 KeywordGood = 'yes' keywordCounter =0 NationalPlace.clear() nationalPlaceInd = 'no' keywordind = 'no' InCitInd = 'no' TitleEndCharacterString ='no' DescriptiveKeywordsInd='off' MafTigerInd = 'no' dotLocation = file.find(".") preDot = file[0:dotLocation] postDot = file[dotLocation:] ContentIfoInd = 'no' FirstTitle = 'Yes' endTitleCounter=0 datasetUriind = 'no' OutFile = preDot + "_corrected_" + postDot ReadFileA = open(file, "r") for line in ReadFileA: if re.search('<gmd:keyword>', line, flags=0): KeywordModCounter += 1 else: continue PrePlace = KeywordModCounter -6 StateKeywords= PrePlace +3 ReadFileA.close() #finalKeyword=int(keywordCounter(file)) print (' PrePlace' + str( PrePlace)) print ('StateKeywords' + str(StateKeywords)) #print("preDot: " + preDot) #print("PostDot: " + postDot) #print("Outfile" + OutFile) #print("File: " + file) print("Now Working on: " + file) #print ("Outfile=" + OutFile) ReadFile = open(file, "r") with open(OutFile, "w") as NewFile: for line in ReadFile: if re.search('gmd:linkage',line,flags=0): linkageCounter+=1 #NewFile.write('\n') if linkageCounter == 1: LinkageInd='yes' NewFile.write(line) else: NewFile.write(line) elif re.search('<gco:CharacterString>MAF/TIGER</gco:CharacterString>', line, flags=0): NewFile.write(line) MafTigerInd = 'yes' NewFile.write('\n') elif re.search('gmd:URL',line, flags=0): #NewFile.write('\n') print("---------------------------------\n") #print ("LinkageInd: " + LinkageInd + "\n") if LinkageInd =="yes": #NewFile.write(line) lastSlash=line.rfind("/tl")+1 lastEndtag=line.find("</gmd:URL>") ZipFileName=line[lastSlash: lastEndtag] ThemeURL=str(ThemeDir( mainTheme)) ''' # NewFile.write('') #NewFile.write('') ''' FinalZip=' <gmd:URL>https://www2.census.gov/geo/tiger/TIGER2020/'+ ThemeURL +'/' + ZipFileName + '</gmd:URL>\n' LinkageInd="No" # print('In the LinkageId section\n') #print(line) #print ('ZipFileName: ' + ZipFileName) LinkageInd='No' #NewFile.write('') NewFile.write(FinalZip) else: NewFile.write(line) elif re.search('<gco:CharacterString>.shp.iso.xml',line, flags=0): #NewFile.write('\n') NewFile.write(' <gco:CharacterString>' + file + '</gco:CharacterString>') elif re.search ('codeListValue=""',line,flags=0): #NewFile.write('\n') NewFile.write(' codeListValue="dataset"/>') elif re.search('<gmd:MD_GeometricObjectTypeCode',line,flags=0): #NewFile.write('\n') lastCarrot=line.find('>')-1 maipart=line[0:lastCarrot] GMTC=maipart+'" codeListValue="complex">complex</gmd:MD_GeometricObjectTypeCode>' NewFile.write(GMTC) elif re.search('</gmd:featureTypes>',line,flags=0): #NewFile.write('\n') NewFile.write(line) NewFile.write(' <gmd:featureCatalogueCitation>') NewFile.write(' <gmd:CI_Citation>\n') NewFile.write(' <gmd:title>\n') NewFile.write(str(eaTitle(mainTheme))) NewFile.write(' </gmd:title>\n') NewFile.write(' <gmd:date>\n') NewFile.write(' <gmd:CI_Date>\n') NewFile.write(' <gmd:date>\n') NewFile.write(' <gco:Date>2020</gco:Date>\n') NewFile.write(' </gmd:date>\n') NewFile.write(' <gmd:dateType>\n') NewFile.write(' <gmd:CI_DateTypeCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_DateTypeCode" codeListValue="publication" codeSpace="002"/>\n') NewFile.write(' </gmd:dateType>\n') NewFile.write(' </gmd:CI_Date>\n') NewFile.write(' </gmd:date>\n') NewFile.write(' <gmd:citedResponsibleParty xlink:href="https://www.ngdc.noaa.gov/docucomp/1df27e57-4768-42de-909b-52f530601fba" xlink:title="U.S Department of Commerce, U.S Census Bureau, Geography Division (distributor)"/>') NewFile.write(' <gmd:otherCitationDetails>\n') EAFile = str(eaUrl(mainTheme)) NewFile.write(' <gco:CharacterString>' + EAFile + '</gco:CharacterString>\n') NewFile.write(' </gmd:otherCitationDetails>\n') NewFile.write(' </gmd:CI_Citation>\n') NewFile.write(' </gmd:featureCatalogueCitation>\n') elif re.search('</gmd:protocol>',line,flags=0): #NewFile.write('\n') if transferOptionsCounter == 0: NewFile.write(line) NewFile.write(' <gmd:applicationProfile>\n') NewFile.write(' <gco:CharacterString>ZIP</gco:CharacterString>\n') NewFile.write('</gmd:applicationProfile>\n') NewFile.write('<gmd:name>\n') NewFile.write('<gco:CharacterString>'+ ZipFileName + '</gco:CharacterString>\n') NewFile.write(' </gmd:name>\n') NewFile.write('<gmd:description>\n') NewFile.write(' <gco:CharacterString> This zip file contains the ' + file + ' shapefile </gco:CharacterString>\n') NewFile.write('</gmd:description>\n') else: NewFile.write(line) elif re.search('<gco:CharacterString>TIGER/Line Shapefile',line,flags=0): #NewFile.write('\n') if FirstTitle == 'Yes': FirstTitle ='No' TitleEndCharacterString='yes' mainTitle=line lastComma=line.rfind(',')+1 if re.search('</gco:CharacterString>',line,flags=0): closingTagLoc=line.find('</') mainTheme = line[lastComma:closingTagLoc] else: mainTheme=line[lastComma:] Geography=line[68:lastComma-1] #print ('Geography:' + Geography) PrimaryAlternateTitle = '<gco:CharacterString>TIGER/Line Shapefile, Current, ' + Geography + mainTheme + '</gco:CharacterString>\n' NewFile.write(PrimaryAlternateTitle) #NewFile.write('\n') NewFile.write('</gmd:title>\n') NewFile.write(' <gmd:alternateTitle>\n') if re.search('</gco:CharacterString>',mainTitle,flags=0): NewFile.write(mainTitle) else: NewFile.write(mainTitle+ '</gco:CharacterString>') NewFile.write(' </gmd:alternateTitle>\n') FirstAlternativeTitle(mainTheme) else: NewFile.write(line) elif re.search('</gmd:transferOptions>', line, flags=0): #NewFile.write('\n') #print('In the transfer options section') #print('transferOptionsCounter' + str(transferOptionsCounter: ) + "\n") #NewFile.write('') if transferOptionsCounter == 1: NewFile.write(line) NewFile.write(' <gmd:transferOptions>\n') NewFile.write(' <gmd:MD_DigitalTransferOptions>\n') NewFile.write(' <gmd:onLine>\n') NewFile.write(' <gmd:CI_OnlineResource>\n') WMSFiller(mainTheme) NewFile.write(' <gmd:function>\n') NewFile.write(' <gmd:CI_OnLineFunctionCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_OnlineFunctionCode"\n') NewFile.write(' codeListValue="search">search\n') NewFile.write(' </gmd:CI_OnLineFunctionCode>\n') NewFile.write(' </gmd:function>\n') NewFile.write(' </gmd:CI_OnlineResource>\n') NewFile.write(' </gmd:onLine>\n') NewFile.write(' </gmd:MD_DigitalTransferOptions>\n') NewFile.write(' </gmd:transferOptions>\n') transferOptionsCounter += 1 NewFile.write(' <gmd:transferOptions>\n') NewFile.write(' <gmd:MD_DigitalTransferOptions>\n') NewFile.write(' <gmd:onLine>\n') NewFile.write(' <gmd:CI_OnlineResource>\n') EAFileFiller(mainTheme) NewFile.write(' <gmd:function>\n') NewFile.write( ' <gmd:CI_OnLineFunctionCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_OnlineFunctionCode"\n') NewFile.write(' codeListValue="download">download\n') NewFile.write(' </gmd:CI_OnLineFunctionCode>\n') NewFile.write(' </gmd:function>\n') NewFile.write(' </gmd:CI_OnlineResource>\n') NewFile.write(' </gmd:onLine>\n') NewFile.write(' </gmd:MD_DigitalTransferOptions>\n') NewFile.write(' </gmd:transferOptions>\n') else: NewFile.write(line) transferOptionsCounter += 1 elif re.search('</gmd:title>',line,flags=0): #NewFile.write('\n') if endTitleCounter ==0: endTitleCounter+=1 else: NewFile.write(line) elif re.search('</gco:CharacterString>',line,flags=0): #NewFile.write('\n') if TitleEndCharacterString == 'yes': NewFile.write('') TitleEndCharacterString='no' continue elif KeywordGood == 'no': NewFile.write('') if keywordind== 'yes': NewFile.write('\n') print(line) #print('AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA') #print('keywordCounter: ' + str(keywordCounter)) #print('KeywordGood = ' + KeywordGood) #print('BBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBB') if KeywordGood == 'yes': NewFile.write('') if re.search('State or Equivalent Entity',line,flags=0): StateEntityCounter+=1 if StateEntityCounter >1: continue else: NewFile.write(line) print('Printing the Keyword!!!!!!!!!!!!!!') keywordind='no' else: NewFile.write(line) print('Printing the Keyword!!!!!!!!!!!!!!') keywordind = 'no' else: #print('Now writing' + line + 'to the NationalPlace ') #NewFile.write('\n') else: continue elif datasetUriind =='yes': doubleSlashLoc=line.find('//') postSlash=line[doubleSlashLoc:] newUrl='<gco:CharacterString>https:' + postSlash NewFile.write(newUrl) datasetUriind = 'no' elif InCitInd == 'yes': InCitInd ='no' continue else: NewFile.write(line) ''' #NewFile.write('\n') print(line) print('AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA') print ('keywordCounter: ' + str(keywordCounter)) print ('KeywordGood = ' + KeywordGood) print('BBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBB') if KeywordGood =='yes': NewFile.write(line) print('Printing the Keyword!!!!!!!!!!!!!!') else: print('Now writing' + line + 'to the NationalPlace ') NationalPlace.append(line) ''' elif re.search(' <gmd:edition>',line,flags=0): #NewFile.write('\n') NewFile.write(line) NewFile.write(' <gco:CharacterString>2020</gco:CharacterString>') elif re.search('http://www2.census.gov/geo/tiger/TIGER2020',line,flags=0): #NewFile.write('\n') semiLoc=line.rfind(':') lastpart=line[semiLoc:] CorrectedHttp=' <gco:CharacterString>https' + lastpart #NewFile.write('') elif re.search(' </gmd:edition>',line, flags=0): #NewFile.write('\n') editionCounter+=1 #print('editionCounter: ' + str(editionCounter)) if editionCounter ==1: NewFile.write(line) NewFile.write(' <gmd:identifier>\n') NewFile.write(' <gmd:MD_Identifier>\n') NewFile.write(' <gmd:code>\n') NewFile.write(' <gco:CharacterString>https://www.census.gov</gco:CharacterString>\n') NewFile.write(' </gmd:code>\n') NewFile.write(' </gmd:MD_Identifier>\n') NewFile.write(' </gmd:identifier>\n') else: NewFile.write(line) elif re.search('<gmd:extent/>',line, flags=0): #NewFile.write('\n') NewFile.write(' <gmd:extent>\n') NewFile.write(' <gml:TimePeriod gml:id="timePeriod">\n') NewFile.write(' <gml:beginPosition>2019-06</gml:beginPosition>\n') NewFile.write(' <gml:endPosition>2020-05</gml:endPosition>\n') NewFile.write(' </gml:TimePeriod>\n') NewFile.write(' </gmd:extent>\n') elif re.search('<gml:beginPosition/>',line,flags=0): #NewFile.write('\n') NewFile.write(' <gml:beginPosition>2019-06</gml:beginPosition>\n') elif re.search('<gml:endPosition/>',line,flags=0): #NewFile.write('\n') NewFile.write(' <gml:endPosition>2020-05</gml:endPosition>\n') elif re.search('<gmd:keyword>',line, flags=0): #NewFile.write('\n') #NewFile.write('\n') keywordCounter+=1 #print('00000000000000000000000000000000000000000000000000000') #print('keywordCounter: ' + str(keywordCounter)) #print(line) keywordind='yes' if keywordCounter <=PrePlace: KeywordGood='yes' NewFile.write(line) DescriptiveKeywordsInd='off' elif keywordCounter<StateKeywords: KeywordGood = 'no' DescriptiveKeywordsInd='off' else: if re.search('State or Equivalent Entity',line,flags=0): continue else: NewFile.write(line) KeywordGood = 'yes' DescriptiveKeywordsInd = 'on' elif re.search(' <gco:CharacterString>',line,flags=0): #NewFile.write('\n') print(line) #print('AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA') #print ('keywordCounter: ' + str(keywordCounter)) #print ('KeywordGood = ' + KeywordGood) #print('BBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBB') if re.search('>ANSI INCITS 38:2009', line, flags=0): #newLine = line + '</gco:CharacterString>' #(ANSI INCITS 38-2009), Federal Information Processing Series (FIPS) – States/State Equivalents' NewFile.write('<gco:CharacterString>National Standard Codes (ANSI INCITS 38-2009)</gco:CharacterString>' ) elif re.search('<gco:CharacterString>MAF/TIGER</gco:CharacterString>', line, flags=0): NewFile.write(line) MafTigerInd='yes' NewFile.write('\n') else: NewFile.write(line) elif re.search('</gmd:keyword>',line,flags=0): #NewFile.write('\n') #print('Ending the keyword tag') if KeywordGood =='no': continue else: NewFile.write(line) elif re.search('</gmd:descriptiveKeywords>',line,flags=0): #NewFile.write('\n') NewFile.write('') if DescriptiveKeywordsInd=='on': NewFile.write(line) NewFile.write(' <gmd:descriptiveKeywords>') NewFile.write(' <gmd:MD_Keywords>\n') for item in NationalPlace: #NewFile.write('") if item != 'State or Equivalent Entity': NewFile.write(' <gmd:keyword>\n') NewFile.write(item + '\n') NewFile.write(' </gmd:keyword>\n') NewFile.write(' <gmd:type>\n') NewFile.write(' <gmd:MD_KeywordTypeCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#MD_KeywordTypeCode"\n') NewFile.write(' codeListValue="place"/>\n') NewFile.write(' </gmd:type>\n') NewFile.write(' <gmd:thesaurusName>\n') NewFile.write(' <gmd:CI_Citation>\n') NewFile.write(' <gmd:title>\n') NewFile.write(' <gco:CharacterString>ISO 3166 Codes for the representation of names of countries and their subdivisions</gco:CharacterString>\n') NewFile.write(' </gmd:title>\n') NewFile.write(' <gmd:date gco:nilReason="unknown"/>\n') NewFile.write(' </gmd:CI_Citation>\n') NewFile.write(' </gmd:thesaurusName>\n') NewFile.write(' </gmd:MD_Keywords>\n') NewFile.write(' </gmd:descriptiveKeywords>\n') DescriptiveKeywordsInd='off' else: NewFile.write(line) elif re.search ('<gmd:dataSetURI>',line,flags=0): datasetUriind='yes' NewFile.write(line) elif re.search('ANSI INCITS 31:2009',line,flags=0): #NewFile.write('\n') InCitInd='yes' continue elif re.search ('(Formerly FIPS 8-6)',line, flags=0): #NewFile.write('\n') continue elif re.search ('<gmd:date>',line,flags=0): if re.search ('<gmd:date gco:nilReason="unknown"/>',line, flags=0): NewFile.write(line) elif MafTigerInd =='yes': NewFile.write(' <gmd:date gco:nilReason="unknown"/>') else: NewFile.write(line) elif re.search('<gmd:CI_Date>',line,flags=0): if MafTigerInd =='yes': continue else: NewFile.write(line) elif re.search('<gco:Date>Unpublished material</gco:Date>',line,flags=0): if MafTigerInd =='yes': continue else: NewFile.write(line) elif re.search('</gmd:date>',line,flags=0): if MafTigerInd == 'yes': gmdDateCounter+=1 if gmdDateCounter ==1: continue else: MafTigerInd='no' else: NewFile.write(line) elif re.search('<gmd:dateType>',line,flags=0): if MafTigerInd == 'yes': continue else: NewFile.write(line) elif re.search(' <gmd:CI_DateTypeCode',line, flags=0): if MafTigerInd =='yes': continue else: NewFile.write(line) elif re.search('codeListValue="publication date"',line, flags=0): if MafTigerInd == 'yes': continue else: NewFile.write(line) elif re.search('</gmd:CI_DateTypeCode>',line, flags=0): if MafTigerInd == 'yes': continue else: NewFile.write(line) elif re.search('</gmd:dateType>',line, flags=0): if MafTigerInd == 'yes': continue else: NewFile.write(line) elif re.search('</gmd:CI_Date>',line, flags=0): if MafTigerInd == 'yes': continue else: NewFile.write(line) else: NewFile.write(line) #print(line) NewFileArray.append(OutFile) NewFile.close() print("xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx\n") for newFile in NewFileArray: #print (newFile) newFileCorrectLoc=newFile.find('_corrected') preCorret=newFile[0:newFileCorrectLoc] postCorrect=newFile[newFileCorrectLoc+11:] DestFile= preCorret+postCorrect #print(preCorret) #print (postCorrect) shutil.copyfile(newFile,DestFile) #newFile.close ''' for newFile in NewFileArray: os.remove(newFile) ''' print ("Done! "+ str(FileCounter) + " files have been processed at "+ presentTime + "!") sys.exit(1)

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0.846616

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102,398

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345

62.9754

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false

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null

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f2e79495573e62f3873db4ca7c58977203422284

6,802

py

Python

Painter_RandomizedBenchmarking/DRAG_utils.py

sherryue123/Labber-Drivers

90fc217db4158857f650122cd780f18fcf6d9a78

[ "MIT" ]

3

2019-06-18T21:14:50.000Z

2020-10-11T19:05:35.000Z

Painter_RandomizedBenchmarking/DRAG_utils.py

sherryue123/Labber-Drivers

90fc217db4158857f650122cd780f18fcf6d9a78

[ "MIT" ]

null

Painter_RandomizedBenchmarking/DRAG_utils.py

sherryue123/Labber-Drivers

90fc217db4158857f650122cd780f18fcf6d9a78

[ "MIT" ]

1

2020-04-03T16:54:28.000Z

""" A super cool file for helping with DRAG stuff.""" import numpy as np import scipy import dsp_utils # Empty envelopes def empty_detuning_envelope(t, args): return 0 def empety_x_envelope(t, args): return 0 def empty_y_envelope(t, args): return 0 # Helper functions for building gaussian pulses def gaussian(t, sigma): return np.exp(-t**2/(2*sigma**2)) def truncated_gaussian(t, sigma, t0, tn): erf_part = scipy.special.erf((tn)/(np.sqrt(2)*sigma)) numerator = gaussian(t-t0, sigma) \ - gaussian(tn, sigma) denominator = np.sqrt(2*np.pi*sigma**2)*erf_part \ - 2*tn*gaussian(tn, sigma) return numerator/denominator def truncated_gaussian_derivative(t, sigma, t0, tn): erf_part = scipy.special.erf((tn)/(np.sqrt(2)*sigma)) numerator = -(t - t0)/(sigma**2) \ * gaussian(t-t0, sigma) denominator = np.sqrt(2*np.pi*sigma**2)*erf_part \ - 2*tn*gaussian(tn, sigma) return numerator/denominator # Functions for bottom two level DRAG in an anharmonic oscillator def x_envelope_ge(t, args): erf_part = scipy.special.erf(args['tn']/(np.sqrt(2)*args['tsigma'])) numerator = np.exp(-(t - args['tg'])**2/(2*args['tsigma']**2)) - \ np.exp(-args['tn']**2/(2*args['tsigma']**2)) denominator = np.sqrt(2*np.pi*args['tsigma']**2)*erf_part - \ 2*args['tn']*np.exp(-args['tn']**2/(2*args['tsigma']**2)) return args['x_coeff']*args['A']*numerator/denominator def y_envelope_ge(t, args): erf_part = scipy.special.erf(args['tn']/(np.sqrt(2)*args['tsigma'])) numerator = -(t-args['tg'])/(args['tsigma']**2) * \ np.exp(-(t - args['tg'])**2/(2*args['tsigma']**2)) denominator = np.sqrt(2*np.pi*args['tsigma']**2)*erf_part - \ 2*args['tn']*np.exp(-args['tn']**2/(2*args['tsigma']**2)) return args['y_coeff']*args['A']*numerator/denominator def det_envelope_ge(t, args): erf_part = scipy.special.erf(args['tn']/(np.sqrt(2)*args['tsigma'])) numerator = np.exp(-(t - args['tg'])**2/(2*args['tsigma']**2)) - \ np.exp(-args['tn']**2/(2*args['tsigma']**2)) denominator = np.sqrt(2*np.pi*args['tsigma']**2)*erf_part - \ 2*args['tn']*np.exp(-args['tn']**2/(2*args['tsigma']**2)) return args['det_coeff']*(args['A']*numerator/denominator)**2 # Functions for intermediate DRAG in an anharmonic oscillator def x_envelope_ef(t, args): """In-Phase Quadrature Envelope for e->f DRAG.""" return args['A']*truncated_gaussian(t, args['sigma'], args['t_g']/2, args['t_n']/2) def y_envelope_ef(t, args): """Out-of-Phase Quadrature Envelope for e->f DRAG.""" anharms = args['anharms'] couplings = args['couplings'] e = args['e'] g = args['g'] couplings = [c/g for c in couplings] coeff = -np.sqrt(couplings[e-1]**2 \ + (anharms[e+2]**2/anharms[e-1]**2) \ * couplings[e+1]**2) / (2*anharms[e+2]) return args['A']*coeff*truncated_gaussian_derivative(t, args['sigma'], args['t_g']/2, args['t_n']/2) def detuning_envelope_ef(t, args): """Detuning envelope for e->f DRAG.""" anharms = args['anharms'] couplings = args['couplings'] e = args['e'] g = args['g'] couplings = [c/g for c in couplings] coeff = (couplings[e-1]**2 \ - (anharms[e+2]**2/anharms[e-1]**2) \ * couplings[e+1]) / (4*anharms[e+2]) return coeff*(args['A']*truncated_gaussian(t, args['sigma'], args['t_g']/2, args['t_n']/2))**2 def create_ge_envelopes(sample_rate, gate_time, envelope_args, modulation_args=None, quantization_args=None, upsampling_args=None, noise_args=None): xs, times = dsp_utils.create_custom_signal( x_envelope_ge, sample_rate, gate_time, envelope_args=envelope_args, modulation_args=modulation_args, quantization_args=quantization_args, upsampling_args=upsampling_args, noise_args=noise_args) ys, _ = dsp_utils.create_custom_signal( y_envelope_ge, sample_rate, gate_time, envelope_args=envelope_args, modulation_args=modulation_args, quantization_args=quantization_args, upsampling_args=upsampling_args, noise_args=noise_args) dets, _ = dsp_utils.create_custom_signal( det_envelope_ge, sample_rate, gate_time, envelope_args=envelope_args, modulation_args=modulation_args, quantization_args=quantization_args, upsampling_args=upsampling_args, noise_args=noise_args) return times, xs, ys, dets def create_constant_detuning_DRAG_envelopes(sample_rate, gate_time, envelope_args, modulation_args=None, quantization_args=None, upsampling_args=None, noise_args=None): xs, times = dsp_utils.create_custom_signal( x_envelope_ge, sample_rate, gate_time, envelope_args=envelope_args, modulation_args=modulation_args, quantization_args=quantization_args, upsampling_args=upsampling_args, noise_args=noise_args) ys, _ = dsp_utils.create_custom_signal( y_envelope_ge, sample_rate, gate_time, envelope_args=envelope_args, modulation_args=modulation_args, quantization_args=quantization_args, upsampling_args=upsampling_args, noise_args=noise_args) def const_function(t, args=None): return envelope_args['det_coeff'] dets, _ = dsp_utils.create_custom_signal( const_function, sample_rate, gate_time, envelope_args=None, modulation_args=None, quantization_args=quantization_args, upsampling_args=upsampling_args, noise_args=noise_args) return times, xs, ys, dets

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null

0

1

0

1

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null

0

7

f2ef79fff16604edae6b25ba5e265ecbd4b6bfb2

111

py

Python

Python/OneLang/Generator/IGeneratorPlugin.py

onelang/OneLang-CrossCompiled

ed67f2b57e7181712c7d8c2ba85f23b3812d8e3a

[ "MIT" ]

2

2020-11-15T23:38:23.000Z

2020-11-16T00:54:25.000Z

Python/OneLang/Generator/IGeneratorPlugin.py

onelang/OneLang-CrossCompiled

ed67f2b57e7181712c7d8c2ba85f23b3812d8e3a

[ "MIT" ]

null

Python/OneLang/Generator/IGeneratorPlugin.py

onelang/OneLang-CrossCompiled

ed67f2b57e7181712c7d8c2ba85f23b3812d8e3a

[ "MIT" ]

null

from onelang_core import * import OneLang.One.Ast.Interfaces as ints import OneLang.One.Ast.Statements as stats

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8

843af5a525110e9d08f09b3afa5464e12516cc00

4,021

py

Python

neuralwoz/loss.py

naver-ai/neuralwoz

89f10904256c0df33e14c05e8581421d52b63105

[ "Apache-2.0" ]

25

2021-07-22T07:40:24.000Z

2022-02-09T01:42:43.000Z

neuralwoz/loss.py

naver-ai/neuralwoz

89f10904256c0df33e14c05e8581421d52b63105

[ "Apache-2.0" ]

null

neuralwoz/loss.py

naver-ai/neuralwoz

89f10904256c0df33e14c05e8581421d52b63105

[ "Apache-2.0" ]

3

2021-07-23T01:14:38.000Z

2021-08-19T10:36:35.000Z

""" NeuralWOZ Copyright (c) 2021-present NAVER Corp. Apache License v2.0 """ import torch class LabelSmoothingLoss(torch.nn.Module): """ With label smoothing, KL-divergence between q_{smoothed ground truth prob.}(w) and p_{prob. computed by model}(w) is minimized. """ def __init__(self, label_smoothing, tgt_size, pad_id=1, ignore_index=-100): assert 0.0 < label_smoothing <= 1.0 super(LabelSmoothingLoss, self).__init__() self.eps = label_smoothing self.n_class = tgt_size self.ignore_index = ignore_index self.pad_id = pad_id def forward(self, output, target): """ output (FloatTensor): batch_size x n_classes target (LongTensor): batch_size """ mask = target.ne(self.ignore_index).float() target_ = target.masked_fill(target.eq(self.ignore_index), self.pad_id) one_hot = torch.zeros_like(output).scatter(1, target_.view(-1, 1), 1) one_hot = one_hot * (1 - self.eps) + (1 - one_hot) * self.eps / (self.n_class - 1) one_hot = one_hot.to(target.device) log_prb = torch.nn.functional.log_softmax(output, dim=1) loss = -(one_hot * log_prb).sum(dim=1) loss = loss * mask return loss.mean() class LabelSmoothingWithoutSoftmaxLoss(torch.nn.Module): """ With label smoothing, KL-divergence between q_{smoothed ground truth prob.}(w) and p_{prob. computed by model}(w) is minimized. """ def __init__(self, label_smoothing, tgt_size, pad_id=1, ignore_index=-100): assert 0.0 < label_smoothing <= 1.0 super(LabelSmoothingWithoutSoftmaxLoss, self).__init__() self.eps = label_smoothing self.n_class = tgt_size self.ignore_index = ignore_index self.pad_id = pad_id def forward(self, output, target): """ output (FloatTensor): batch_size x n_classes target (LongTensor): batch_size """ mask = target.ne(self.ignore_index).float() target_ = target.masked_fill(target.eq(self.ignore_index), self.pad_id) one_hot = torch.zeros_like(output).scatter(1, target_.view(-1, 1), 1) one_hot = one_hot * (1 - self.eps) + (1 - one_hot) * self.eps / (self.n_class - 1) one_hot = one_hot.to(target.device) log_prb = torch.log(output) loss = -(one_hot * log_prb).sum(dim=1) loss = loss * mask return loss.mean() class CrossEntropyWithoutSoftmaxLoss(torch.nn.Module): def __init__(self, tgt_size, pad_id=1, ignore_index=-100): super(CrossEntropyWithoutSoftmaxLoss, self).__init__() self.n_class = tgt_size self.ignore_index = ignore_index self.pad_id = pad_id def forward(self, output, target): """ output (FloatTensor): batch_size x n_classes target (LongTensor): batch_size """ mask = target.ne(self.ignore_index).float() target_ = target.masked_fill(target.eq(self.ignore_index), self.pad_id) one_hot = torch.zeros_like(output).scatter(1, target_.view(-1, 1), 1) one_hot = one_hot.to(target.device) log_prb = torch.log(output) loss = -(one_hot * log_prb).sum(dim=1) loss = loss * mask return loss.mean() class WeightedChoiceLoss(torch.nn.Module): def __init__(self, beta): super(WeightedChoiceLoss, self).__init__() self.beta = beta def forward(self, output, target, weight): """ output (FloatTensor): batch_size x n_classes target (LongTensor): batch_size weight (FloatTensor): batch_size (0. or 1.) """ one_hot = torch.zeros_like(output).scatter(1, target.view(-1, 1), 1) one_hot = one_hot.to(target.device) log_prb = torch.nn.functional.log_softmax(output, dim=1) loss = -(one_hot * log_prb).sum(1) loss = self.beta * (loss * weight) + (1 - weight) * loss return loss.mean()

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111

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false

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0

null

0

1

0

1

0

null

0

7

ffd60fe1921da0cd5f09233b30ce0f7ecaf64529

126,011

py

Python

cisco-ios-xr/ydk/models/cisco_ios_xr/Cisco_IOS_XR_tty_server_oper.py

tkamata-test/ydk-py

b637e7853a8edbbd31fbc05afa3aa4110b31c5f9

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

null

cisco-ios-xr/ydk/models/cisco_ios_xr/Cisco_IOS_XR_tty_server_oper.py

tkamata-test/ydk-py

b637e7853a8edbbd31fbc05afa3aa4110b31c5f9

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

null

cisco-ios-xr/ydk/models/cisco_ios_xr/Cisco_IOS_XR_tty_server_oper.py

tkamata-test/ydk-py

b637e7853a8edbbd31fbc05afa3aa4110b31c5f9

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

null

""" Cisco_IOS_XR_tty_server_oper This module contains a collection of YANG definitions for Cisco IOS\-XR tty\-server package operational data. This module contains definitions for the following management objects\: tty\: TTY Line Configuration Copyright (c) 2013\-2016 by Cisco Systems, Inc. All rights reserved. """ import re import collections from enum import Enum from ydk.types import Empty, YList, YLeafList, DELETE, Decimal64, FixedBitsDict from ydk.errors import YPYError, YPYModelError class LineStateEnum(Enum): """ LineStateEnum Line state .. data:: none = 0 Line not connected .. data:: registered = 1 Line registered .. data:: in_use = 2 Line active and in use """ none = 0 registered = 1 in_use = 2 @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['LineStateEnum'] class SessionOperationEnum(Enum): """ SessionOperationEnum Session operation .. data:: none = 0 No sessions on the line .. data:: setup = 1 Session getting set up .. data:: shell = 2 Session active with a shell .. data:: transitioning = 3 Session in transitioning phase .. data:: packet = 4 Session ready to receive packets """ none = 0 setup = 1 shell = 2 transitioning = 3 packet = 4 @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['SessionOperationEnum'] class Tty(object): """ TTY Line Configuration .. attribute:: auxiliary_nodes List of Nodes attached with an auxiliary line **type**\: :py:class:`AuxiliaryNodes <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.AuxiliaryNodes>` .. attribute:: console_nodes List of Nodes for console **type**\: :py:class:`ConsoleNodes <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.ConsoleNodes>` .. attribute:: vty_lines List of VTY lines **type**\: :py:class:`VtyLines <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.VtyLines>` """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.auxiliary_nodes = Tty.AuxiliaryNodes() self.auxiliary_nodes.parent = self self.console_nodes = Tty.ConsoleNodes() self.console_nodes.parent = self self.vty_lines = Tty.VtyLines() self.vty_lines.parent = self class ConsoleNodes(object): """ List of Nodes for console .. attribute:: console_node Console line configuration on a node **type**\: list of :py:class:`ConsoleNode <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.ConsoleNodes.ConsoleNode>` """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.console_node = YList() self.console_node.parent = self self.console_node.name = 'console_node' class ConsoleNode(object): """ Console line configuration on a node .. attribute:: id <key> Node ID **type**\: str **pattern:** ([a\-zA\-Z0\-9\_]\*\\d+/){1,2}([a\-zA\-Z0\-9\_]\*\\d+) .. attribute:: console_line Console line **type**\: :py:class:`ConsoleLine <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.ConsoleNodes.ConsoleNode.ConsoleLine>` """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.id = None self.console_line = Tty.ConsoleNodes.ConsoleNode.ConsoleLine() self.console_line.parent = self class ConsoleLine(object): """ Console line .. attribute:: configuration Configuration information of the line **type**\: :py:class:`Configuration <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.ConsoleNodes.ConsoleNode.ConsoleLine.Configuration>` .. attribute:: console_statistics Statistics of the console line **type**\: :py:class:`ConsoleStatistics <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.ConsoleNodes.ConsoleNode.ConsoleLine.ConsoleStatistics>` .. attribute:: state Line state information **type**\: :py:class:`State <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.ConsoleNodes.ConsoleNode.ConsoleLine.State>` """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.configuration = Tty.ConsoleNodes.ConsoleNode.ConsoleLine.Configuration() self.configuration.parent = self self.console_statistics = Tty.ConsoleNodes.ConsoleNode.ConsoleLine.ConsoleStatistics() self.console_statistics.parent = self self.state = Tty.ConsoleNodes.ConsoleNode.ConsoleLine.State() self.state.parent = self class ConsoleStatistics(object): """ Statistics of the console line .. attribute:: aaa AAA related statistics **type**\: :py:class:`Aaa <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.ConsoleNodes.ConsoleNode.ConsoleLine.ConsoleStatistics.Aaa>` .. attribute:: exec_ Exec related statistics **type**\: :py:class:`Exec_ <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.ConsoleNodes.ConsoleNode.ConsoleLine.ConsoleStatistics.Exec_>` .. attribute:: general_statistics General statistics of line **type**\: :py:class:`GeneralStatistics <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.ConsoleNodes.ConsoleNode.ConsoleLine.ConsoleStatistics.GeneralStatistics>` .. attribute:: rs232 RS232 statistics of console line **type**\: :py:class:`Rs232 <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.ConsoleNodes.ConsoleNode.ConsoleLine.ConsoleStatistics.Rs232>` """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.aaa = Tty.ConsoleNodes.ConsoleNode.ConsoleLine.ConsoleStatistics.Aaa() self.aaa.parent = self self.exec_ = Tty.ConsoleNodes.ConsoleNode.ConsoleLine.ConsoleStatistics.Exec_() self.exec_.parent = self self.general_statistics = Tty.ConsoleNodes.ConsoleNode.ConsoleLine.ConsoleStatistics.GeneralStatistics() self.general_statistics.parent = self self.rs232 = Tty.ConsoleNodes.ConsoleNode.ConsoleLine.ConsoleStatistics.Rs232() self.rs232.parent = self class Rs232(object): """ RS232 statistics of console line .. attribute:: baud_rate Inbound/Outbound baud rate in bps **type**\: int **range:** 0..4294967295 **units**\: bit/s .. attribute:: data_bits Number of databits **type**\: int **range:** 0..4294967295 **units**\: bit .. attribute:: exec_disabled Exec disabled on TTY **type**\: bool .. attribute:: framing_error_count Framing error count **type**\: int **range:** 0..4294967295 .. attribute:: hardware_flow_control_status Hardware flow control status **type**\: int **range:** 0..4294967295 .. attribute:: overrun_error_count Overrun error count **type**\: int **range:** 0..4294967295 .. attribute:: parity_error_count Parity error count **type**\: int **range:** 0..4294967295 .. attribute:: parity_status Parity status **type**\: int **range:** 0..4294967295 .. attribute:: stop_bits Number of stopbits **type**\: int **range:** 0..4294967295 **units**\: bit """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.baud_rate = None self.data_bits = None self.exec_disabled = None self.framing_error_count = None self.hardware_flow_control_status = None self.overrun_error_count = None self.parity_error_count = None self.parity_status = None self.stop_bits = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-tty-server-oper:rs232' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.baud_rate is not None: return True if self.data_bits is not None: return True if self.exec_disabled is not None: return True if self.framing_error_count is not None: return True if self.hardware_flow_control_status is not None: return True if self.overrun_error_count is not None: return True if self.parity_error_count is not None: return True if self.parity_status is not None: return True if self.stop_bits is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.ConsoleNodes.ConsoleNode.ConsoleLine.ConsoleStatistics.Rs232']['meta_info'] class GeneralStatistics(object): """ General statistics of line .. attribute:: absolute_timeout Absolute timeout period **type**\: int **range:** 0..4294967295 .. attribute:: async_interface Usable as async interface **type**\: bool .. attribute:: domain_lookup_enabled DNS resolution enabled **type**\: bool .. attribute:: flow_control_start_character Software flow control start char **type**\: int **range:** \-128..127 .. attribute:: flow_control_stop_character Software flow control stop char **type**\: int **range:** \-128..127 .. attribute:: idle_time TTY idle time **type**\: int **range:** 0..4294967295 .. attribute:: motd_banner_enabled MOTD banner enabled **type**\: bool .. attribute:: private_flag TTY private flag **type**\: bool .. attribute:: terminal_length Terminal length **type**\: int **range:** 0..4294967295 .. attribute:: terminal_type Terminal type **type**\: str .. attribute:: terminal_width Line width **type**\: int **range:** 0..4294967295 """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.absolute_timeout = None self.async_interface = None self.domain_lookup_enabled = None self.flow_control_start_character = None self.flow_control_stop_character = None self.idle_time = None self.motd_banner_enabled = None self.private_flag = None self.terminal_length = None self.terminal_type = None self.terminal_width = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-tty-server-oper:general-statistics' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.absolute_timeout is not None: return True if self.async_interface is not None: return True if self.domain_lookup_enabled is not None: return True if self.flow_control_start_character is not None: return True if self.flow_control_stop_character is not None: return True if self.idle_time is not None: return True if self.motd_banner_enabled is not None: return True if self.private_flag is not None: return True if self.terminal_length is not None: return True if self.terminal_type is not None: return True if self.terminal_width is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.ConsoleNodes.ConsoleNode.ConsoleLine.ConsoleStatistics.GeneralStatistics']['meta_info'] class Exec_(object): """ Exec related statistics .. attribute:: time_stamp_enabled Specifies whether timestamp is enabled or not **type**\: bool """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.time_stamp_enabled = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-tty-server-oper:exec' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.time_stamp_enabled is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.ConsoleNodes.ConsoleNode.ConsoleLine.ConsoleStatistics.Exec_']['meta_info'] class Aaa(object): """ AAA related statistics .. attribute:: user_name The authenticated username **type**\: str """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.user_name = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-tty-server-oper:aaa' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.user_name is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.ConsoleNodes.ConsoleNode.ConsoleLine.ConsoleStatistics.Aaa']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-tty-server-oper:console-statistics' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.aaa is not None and self.aaa._has_data(): return True if self.exec_ is not None and self.exec_._has_data(): return True if self.general_statistics is not None and self.general_statistics._has_data(): return True if self.rs232 is not None and self.rs232._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.ConsoleNodes.ConsoleNode.ConsoleLine.ConsoleStatistics']['meta_info'] class State(object): """ Line state information .. attribute:: general General information **type**\: :py:class:`General <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.ConsoleNodes.ConsoleNode.ConsoleLine.State.General>` .. attribute:: template Information related to template applied to the line **type**\: :py:class:`Template <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.ConsoleNodes.ConsoleNode.ConsoleLine.State.Template>` """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.general = Tty.ConsoleNodes.ConsoleNode.ConsoleLine.State.General() self.general.parent = self self.template = Tty.ConsoleNodes.ConsoleNode.ConsoleLine.State.Template() self.template.parent = self class Template(object): """ Information related to template applied to the line .. attribute:: name Name of the template **type**\: str """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.name = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-tty-server-oper:template' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.name is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.ConsoleNodes.ConsoleNode.ConsoleLine.State.Template']['meta_info'] class General(object): """ General information .. attribute:: general_state State of the line **type**\: :py:class:`LineStateEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.LineStateEnum>` .. attribute:: operation application running of on the tty line **type**\: :py:class:`SessionOperationEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.SessionOperationEnum>` """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.general_state = None self.operation = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-tty-server-oper:general' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.general_state is not None: return True if self.operation is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.ConsoleNodes.ConsoleNode.ConsoleLine.State.General']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-tty-server-oper:state' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.general is not None and self.general._has_data(): return True if self.template is not None and self.template._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.ConsoleNodes.ConsoleNode.ConsoleLine.State']['meta_info'] class Configuration(object): """ Configuration information of the line .. attribute:: connection_configuration Conection configuration information **type**\: :py:class:`ConnectionConfiguration <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.ConsoleNodes.ConsoleNode.ConsoleLine.Configuration.ConnectionConfiguration>` """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.connection_configuration = Tty.ConsoleNodes.ConsoleNode.ConsoleLine.Configuration.ConnectionConfiguration() self.connection_configuration.parent = self class ConnectionConfiguration(object): """ Conection configuration information .. attribute:: acl_in ACL for inbound traffic **type**\: str .. attribute:: acl_out ACL for outbound traffic **type**\: str .. attribute:: transport_input Protocols to use when connecting to the terminal server **type**\: :py:class:`TransportInput <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.ConsoleNodes.ConsoleNode.ConsoleLine.Configuration.ConnectionConfiguration.TransportInput>` """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.acl_in = None self.acl_out = None self.transport_input = Tty.ConsoleNodes.ConsoleNode.ConsoleLine.Configuration.ConnectionConfiguration.TransportInput() self.transport_input.parent = self class TransportInput(object): """ Protocols to use when connecting to the terminal server .. attribute:: none Not used **type**\: int **range:** \-2147483648..2147483647 .. attribute:: protocol1 Transport protocol1 **type**\: :py:class:`TtyTransportProtocolEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_management_datatypes.TtyTransportProtocolEnum>` .. attribute:: protocol2 Transport protocol2 **type**\: :py:class:`TtyTransportProtocolEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_management_datatypes.TtyTransportProtocolEnum>` .. attribute:: select Choose transport protocols **type**\: :py:class:`TtyTransportProtocolSelectEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_management_datatypes.TtyTransportProtocolSelectEnum>` **default value**\: all """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.none = None self.protocol1 = None self.protocol2 = None self.select = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-tty-server-oper:transport-input' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.none is not None: return True if self.protocol1 is not None: return True if self.protocol2 is not None: return True if self.select is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.ConsoleNodes.ConsoleNode.ConsoleLine.Configuration.ConnectionConfiguration.TransportInput']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-tty-server-oper:connection-configuration' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.acl_in is not None: return True if self.acl_out is not None: return True if self.transport_input is not None and self.transport_input._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.ConsoleNodes.ConsoleNode.ConsoleLine.Configuration.ConnectionConfiguration']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-tty-server-oper:configuration' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.connection_configuration is not None and self.connection_configuration._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.ConsoleNodes.ConsoleNode.ConsoleLine.Configuration']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-tty-server-oper:console-line' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.configuration is not None and self.configuration._has_data(): return True if self.console_statistics is not None and self.console_statistics._has_data(): return True if self.state is not None and self.state._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.ConsoleNodes.ConsoleNode.ConsoleLine']['meta_info'] @property def _common_path(self): if self.id is None: raise YPYModelError('Key property id is None') return '/Cisco-IOS-XR-tty-server-oper:tty/Cisco-IOS-XR-tty-server-oper:console-nodes/Cisco-IOS-XR-tty-server-oper:console-node[Cisco-IOS-XR-tty-server-oper:id = ' + str(self.id) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.id is not None: return True if self.console_line is not None and self.console_line._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.ConsoleNodes.ConsoleNode']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-tty-server-oper:tty/Cisco-IOS-XR-tty-server-oper:console-nodes' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.console_node is not None: for child_ref in self.console_node: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.ConsoleNodes']['meta_info'] class VtyLines(object): """ List of VTY lines .. attribute:: vty_line VTY Line **type**\: list of :py:class:`VtyLine <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.VtyLines.VtyLine>` """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.vty_line = YList() self.vty_line.parent = self self.vty_line.name = 'vty_line' class VtyLine(object): """ VTY Line .. attribute:: line_number <key> VTY Line number **type**\: int **range:** \-2147483648..2147483647 .. attribute:: configuration Configuration information of the line **type**\: :py:class:`Configuration <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.VtyLines.VtyLine.Configuration>` .. attribute:: sessions Outgoing sessions **type**\: :py:class:`Sessions <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.VtyLines.VtyLine.Sessions>` .. attribute:: state Line state information **type**\: :py:class:`State <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.VtyLines.VtyLine.State>` .. attribute:: vty_statistics Statistics of the VTY line **type**\: :py:class:`VtyStatistics <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.VtyLines.VtyLine.VtyStatistics>` """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.line_number = None self.configuration = Tty.VtyLines.VtyLine.Configuration() self.configuration.parent = self self.sessions = Tty.VtyLines.VtyLine.Sessions() self.sessions.parent = self self.state = Tty.VtyLines.VtyLine.State() self.state.parent = self self.vty_statistics = Tty.VtyLines.VtyLine.VtyStatistics() self.vty_statistics.parent = self class VtyStatistics(object): """ Statistics of the VTY line .. attribute:: aaa AAA related statistics **type**\: :py:class:`Aaa <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.VtyLines.VtyLine.VtyStatistics.Aaa>` .. attribute:: connection Connection related statistics **type**\: :py:class:`Connection <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.VtyLines.VtyLine.VtyStatistics.Connection>` .. attribute:: exec_ Exec related statistics **type**\: :py:class:`Exec_ <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.VtyLines.VtyLine.VtyStatistics.Exec_>` .. attribute:: general_statistics General statistics of line **type**\: :py:class:`GeneralStatistics <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.VtyLines.VtyLine.VtyStatistics.GeneralStatistics>` """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.aaa = Tty.VtyLines.VtyLine.VtyStatistics.Aaa() self.aaa.parent = self self.connection = Tty.VtyLines.VtyLine.VtyStatistics.Connection() self.connection.parent = self self.exec_ = Tty.VtyLines.VtyLine.VtyStatistics.Exec_() self.exec_.parent = self self.general_statistics = Tty.VtyLines.VtyLine.VtyStatistics.GeneralStatistics() self.general_statistics.parent = self class Connection(object): """ Connection related statistics .. attribute:: host_address_family Incoming host address family **type**\: int **range:** 0..4294967295 .. attribute:: incoming_host_address Incoming host address(max) **type**\: str **length:** 0..46 .. attribute:: service Input transport **type**\: int **range:** 0..4294967295 """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.host_address_family = None self.incoming_host_address = None self.service = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-tty-server-oper:connection' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.host_address_family is not None: return True if self.incoming_host_address is not None: return True if self.service is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.VtyLines.VtyLine.VtyStatistics.Connection']['meta_info'] class GeneralStatistics(object): """ General statistics of line .. attribute:: absolute_timeout Absolute timeout period **type**\: int **range:** 0..4294967295 .. attribute:: async_interface Usable as async interface **type**\: bool .. attribute:: domain_lookup_enabled DNS resolution enabled **type**\: bool .. attribute:: flow_control_start_character Software flow control start char **type**\: int **range:** \-128..127 .. attribute:: flow_control_stop_character Software flow control stop char **type**\: int **range:** \-128..127 .. attribute:: idle_time TTY idle time **type**\: int **range:** 0..4294967295 .. attribute:: motd_banner_enabled MOTD banner enabled **type**\: bool .. attribute:: private_flag TTY private flag **type**\: bool .. attribute:: terminal_length Terminal length **type**\: int **range:** 0..4294967295 .. attribute:: terminal_type Terminal type **type**\: str .. attribute:: terminal_width Line width **type**\: int **range:** 0..4294967295 """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.absolute_timeout = None self.async_interface = None self.domain_lookup_enabled = None self.flow_control_start_character = None self.flow_control_stop_character = None self.idle_time = None self.motd_banner_enabled = None self.private_flag = None self.terminal_length = None self.terminal_type = None self.terminal_width = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-tty-server-oper:general-statistics' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.absolute_timeout is not None: return True if self.async_interface is not None: return True if self.domain_lookup_enabled is not None: return True if self.flow_control_start_character is not None: return True if self.flow_control_stop_character is not None: return True if self.idle_time is not None: return True if self.motd_banner_enabled is not None: return True if self.private_flag is not None: return True if self.terminal_length is not None: return True if self.terminal_type is not None: return True if self.terminal_width is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.VtyLines.VtyLine.VtyStatistics.GeneralStatistics']['meta_info'] class Exec_(object): """ Exec related statistics .. attribute:: time_stamp_enabled Specifies whether timestamp is enabled or not **type**\: bool """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.time_stamp_enabled = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-tty-server-oper:exec' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.time_stamp_enabled is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.VtyLines.VtyLine.VtyStatistics.Exec_']['meta_info'] class Aaa(object): """ AAA related statistics .. attribute:: user_name The authenticated username **type**\: str """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.user_name = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-tty-server-oper:aaa' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.user_name is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.VtyLines.VtyLine.VtyStatistics.Aaa']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-tty-server-oper:vty-statistics' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.aaa is not None and self.aaa._has_data(): return True if self.connection is not None and self.connection._has_data(): return True if self.exec_ is not None and self.exec_._has_data(): return True if self.general_statistics is not None and self.general_statistics._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.VtyLines.VtyLine.VtyStatistics']['meta_info'] class State(object): """ Line state information .. attribute:: general General information **type**\: :py:class:`General <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.VtyLines.VtyLine.State.General>` .. attribute:: template Information related to template applied to the line **type**\: :py:class:`Template <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.VtyLines.VtyLine.State.Template>` """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.general = Tty.VtyLines.VtyLine.State.General() self.general.parent = self self.template = Tty.VtyLines.VtyLine.State.Template() self.template.parent = self class Template(object): """ Information related to template applied to the line .. attribute:: name Name of the template **type**\: str """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.name = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-tty-server-oper:template' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.name is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.VtyLines.VtyLine.State.Template']['meta_info'] class General(object): """ General information .. attribute:: general_state State of the line **type**\: :py:class:`LineStateEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.LineStateEnum>` .. attribute:: operation application running of on the tty line **type**\: :py:class:`SessionOperationEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.SessionOperationEnum>` """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.general_state = None self.operation = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-tty-server-oper:general' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.general_state is not None: return True if self.operation is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.VtyLines.VtyLine.State.General']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-tty-server-oper:state' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.general is not None and self.general._has_data(): return True if self.template is not None and self.template._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.VtyLines.VtyLine.State']['meta_info'] class Configuration(object): """ Configuration information of the line .. attribute:: connection_configuration Conection configuration information **type**\: :py:class:`ConnectionConfiguration <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.VtyLines.VtyLine.Configuration.ConnectionConfiguration>` """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.connection_configuration = Tty.VtyLines.VtyLine.Configuration.ConnectionConfiguration() self.connection_configuration.parent = self class ConnectionConfiguration(object): """ Conection configuration information .. attribute:: acl_in ACL for inbound traffic **type**\: str .. attribute:: acl_out ACL for outbound traffic **type**\: str .. attribute:: transport_input Protocols to use when connecting to the terminal server **type**\: :py:class:`TransportInput <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.VtyLines.VtyLine.Configuration.ConnectionConfiguration.TransportInput>` """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.acl_in = None self.acl_out = None self.transport_input = Tty.VtyLines.VtyLine.Configuration.ConnectionConfiguration.TransportInput() self.transport_input.parent = self class TransportInput(object): """ Protocols to use when connecting to the terminal server .. attribute:: none Not used **type**\: int **range:** \-2147483648..2147483647 .. attribute:: protocol1 Transport protocol1 **type**\: :py:class:`TtyTransportProtocolEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_management_datatypes.TtyTransportProtocolEnum>` .. attribute:: protocol2 Transport protocol2 **type**\: :py:class:`TtyTransportProtocolEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_management_datatypes.TtyTransportProtocolEnum>` .. attribute:: select Choose transport protocols **type**\: :py:class:`TtyTransportProtocolSelectEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_management_datatypes.TtyTransportProtocolSelectEnum>` **default value**\: all """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.none = None self.protocol1 = None self.protocol2 = None self.select = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-tty-server-oper:transport-input' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.none is not None: return True if self.protocol1 is not None: return True if self.protocol2 is not None: return True if self.select is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.VtyLines.VtyLine.Configuration.ConnectionConfiguration.TransportInput']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-tty-server-oper:connection-configuration' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.acl_in is not None: return True if self.acl_out is not None: return True if self.transport_input is not None and self.transport_input._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.VtyLines.VtyLine.Configuration.ConnectionConfiguration']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-tty-server-oper:configuration' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.connection_configuration is not None and self.connection_configuration._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.VtyLines.VtyLine.Configuration']['meta_info'] class Sessions(object): """ Outgoing sessions .. attribute:: outgoing_connection List of outgoing sessions **type**\: list of :py:class:`OutgoingConnection <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.VtyLines.VtyLine.Sessions.OutgoingConnection>` """ _prefix = 'tty-management-oper' _revision = '2015-01-07' def __init__(self): self.parent = None self.outgoing_connection = YList() self.outgoing_connection.parent = self self.outgoing_connection.name = 'outgoing_connection' class OutgoingConnection(object): """ List of outgoing sessions .. attribute:: connection_id Connection ID [1\-20] **type**\: int **range:** 0..255 .. attribute:: host_address Host address **type**\: :py:class:`HostAddress <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.VtyLines.VtyLine.Sessions.OutgoingConnection.HostAddress>` .. attribute:: host_name Host name **type**\: str .. attribute:: idle_time Elapsed time since session was suspended (in seconds) **type**\: int **range:** 0..4294967295 **units**\: second .. attribute:: is_last_active_session True indicates last active session **type**\: bool .. attribute:: transport_protocol Session transport protocol **type**\: :py:class:`TransportServiceEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_management_oper.TransportServiceEnum>` """ _prefix = 'tty-management-oper' _revision = '2015-01-07' def __init__(self): self.parent = None self.connection_id = None self.host_address = Tty.VtyLines.VtyLine.Sessions.OutgoingConnection.HostAddress() self.host_address.parent = self self.host_name = None self.idle_time = None self.is_last_active_session = None self.transport_protocol = None class HostAddress(object): """ Host address .. attribute:: af_name AFName **type**\: :py:class:`HostAfIdBaseIdentity <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_management_oper.HostAfIdBaseIdentity>` .. attribute:: ipv4_address IPv4 address **type**\: str **pattern:** (([0\-9]\|[1\-9][0\-9]\|1[0\-9][0\-9]\|2[0\-4][0\-9]\|25[0\-5])\\.){3}([0\-9]\|[1\-9][0\-9]\|1[0\-9][0\-9]\|2[0\-4][0\-9]\|25[0\-5])(%[\\p{N}\\p{L}]+)? .. attribute:: ipv6_address IPv6 address **type**\: str **pattern:** ((\:\|[0\-9a\-fA\-F]{0,4})\:)([0\-9a\-fA\-F]{0,4}\:){0,5}((([0\-9a\-fA\-F]{0,4}\:)?(\:\|[0\-9a\-fA\-F]{0,4}))\|(((25[0\-5]\|2[0\-4][0\-9]\|[01]?[0\-9]?[0\-9])\\.){3}(25[0\-5]\|2[0\-4][0\-9]\|[01]?[0\-9]?[0\-9])))(%[\\p{N}\\p{L}]+)? """ _prefix = 'tty-management-oper' _revision = '2015-01-07' def __init__(self): self.parent = None self.af_name = None self.ipv4_address = None self.ipv6_address = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-tty-management-oper:host-address' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.af_name is not None: return True if self.ipv4_address is not None: return True if self.ipv6_address is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.VtyLines.VtyLine.Sessions.OutgoingConnection.HostAddress']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-tty-management-oper:outgoing-connection' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.connection_id is not None: return True if self.host_address is not None and self.host_address._has_data(): return True if self.host_name is not None: return True if self.idle_time is not None: return True if self.is_last_active_session is not None: return True if self.transport_protocol is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.VtyLines.VtyLine.Sessions.OutgoingConnection']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-tty-management-oper:sessions' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.outgoing_connection is not None: for child_ref in self.outgoing_connection: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.VtyLines.VtyLine.Sessions']['meta_info'] @property def _common_path(self): if self.line_number is None: raise YPYModelError('Key property line_number is None') return '/Cisco-IOS-XR-tty-server-oper:tty/Cisco-IOS-XR-tty-server-oper:vty-lines/Cisco-IOS-XR-tty-server-oper:vty-line[Cisco-IOS-XR-tty-server-oper:line-number = ' + str(self.line_number) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.line_number is not None: return True if self.configuration is not None and self.configuration._has_data(): return True if self.sessions is not None and self.sessions._has_data(): return True if self.state is not None and self.state._has_data(): return True if self.vty_statistics is not None and self.vty_statistics._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.VtyLines.VtyLine']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-tty-server-oper:tty/Cisco-IOS-XR-tty-server-oper:vty-lines' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.vty_line is not None: for child_ref in self.vty_line: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.VtyLines']['meta_info'] class AuxiliaryNodes(object): """ List of Nodes attached with an auxiliary line .. attribute:: auxiliary_node Line configuration on a node **type**\: list of :py:class:`AuxiliaryNode <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.AuxiliaryNodes.AuxiliaryNode>` """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.auxiliary_node = YList() self.auxiliary_node.parent = self self.auxiliary_node.name = 'auxiliary_node' class AuxiliaryNode(object): """ Line configuration on a node .. attribute:: id <key> Node ID **type**\: str **pattern:** ([a\-zA\-Z0\-9\_]\*\\d+/){1,2}([a\-zA\-Z0\-9\_]\*\\d+) .. attribute:: auxiliary_line Auxiliary line **type**\: :py:class:`AuxiliaryLine <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.AuxiliaryNodes.AuxiliaryNode.AuxiliaryLine>` """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.id = None self.auxiliary_line = Tty.AuxiliaryNodes.AuxiliaryNode.AuxiliaryLine() self.auxiliary_line.parent = self class AuxiliaryLine(object): """ Auxiliary line .. attribute:: auxiliary_statistics Statistics of the auxiliary line **type**\: :py:class:`AuxiliaryStatistics <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.AuxiliaryNodes.AuxiliaryNode.AuxiliaryLine.AuxiliaryStatistics>` .. attribute:: configuration Configuration information of the line **type**\: :py:class:`Configuration <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.AuxiliaryNodes.AuxiliaryNode.AuxiliaryLine.Configuration>` .. attribute:: state Line state information **type**\: :py:class:`State <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.AuxiliaryNodes.AuxiliaryNode.AuxiliaryLine.State>` """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.auxiliary_statistics = Tty.AuxiliaryNodes.AuxiliaryNode.AuxiliaryLine.AuxiliaryStatistics() self.auxiliary_statistics.parent = self self.configuration = Tty.AuxiliaryNodes.AuxiliaryNode.AuxiliaryLine.Configuration() self.configuration.parent = self self.state = Tty.AuxiliaryNodes.AuxiliaryNode.AuxiliaryLine.State() self.state.parent = self class AuxiliaryStatistics(object): """ Statistics of the auxiliary line .. attribute:: aaa AAA related statistics **type**\: :py:class:`Aaa <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.AuxiliaryNodes.AuxiliaryNode.AuxiliaryLine.AuxiliaryStatistics.Aaa>` .. attribute:: exec_ Exec related statistics **type**\: :py:class:`Exec_ <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.AuxiliaryNodes.AuxiliaryNode.AuxiliaryLine.AuxiliaryStatistics.Exec_>` .. attribute:: general_statistics General statistics of line **type**\: :py:class:`GeneralStatistics <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.AuxiliaryNodes.AuxiliaryNode.AuxiliaryLine.AuxiliaryStatistics.GeneralStatistics>` .. attribute:: rs232 RS232 statistics of console line **type**\: :py:class:`Rs232 <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.AuxiliaryNodes.AuxiliaryNode.AuxiliaryLine.AuxiliaryStatistics.Rs232>` """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.aaa = Tty.AuxiliaryNodes.AuxiliaryNode.AuxiliaryLine.AuxiliaryStatistics.Aaa() self.aaa.parent = self self.exec_ = Tty.AuxiliaryNodes.AuxiliaryNode.AuxiliaryLine.AuxiliaryStatistics.Exec_() self.exec_.parent = self self.general_statistics = Tty.AuxiliaryNodes.AuxiliaryNode.AuxiliaryLine.AuxiliaryStatistics.GeneralStatistics() self.general_statistics.parent = self self.rs232 = Tty.AuxiliaryNodes.AuxiliaryNode.AuxiliaryLine.AuxiliaryStatistics.Rs232() self.rs232.parent = self class Rs232(object): """ RS232 statistics of console line .. attribute:: baud_rate Inbound/Outbound baud rate in bps **type**\: int **range:** 0..4294967295 **units**\: bit/s .. attribute:: data_bits Number of databits **type**\: int **range:** 0..4294967295 **units**\: bit .. attribute:: exec_disabled Exec disabled on TTY **type**\: bool .. attribute:: framing_error_count Framing error count **type**\: int **range:** 0..4294967295 .. attribute:: hardware_flow_control_status Hardware flow control status **type**\: int **range:** 0..4294967295 .. attribute:: overrun_error_count Overrun error count **type**\: int **range:** 0..4294967295 .. attribute:: parity_error_count Parity error count **type**\: int **range:** 0..4294967295 .. attribute:: parity_status Parity status **type**\: int **range:** 0..4294967295 .. attribute:: stop_bits Number of stopbits **type**\: int **range:** 0..4294967295 **units**\: bit """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.baud_rate = None self.data_bits = None self.exec_disabled = None self.framing_error_count = None self.hardware_flow_control_status = None self.overrun_error_count = None self.parity_error_count = None self.parity_status = None self.stop_bits = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-tty-server-oper:rs232' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.baud_rate is not None: return True if self.data_bits is not None: return True if self.exec_disabled is not None: return True if self.framing_error_count is not None: return True if self.hardware_flow_control_status is not None: return True if self.overrun_error_count is not None: return True if self.parity_error_count is not None: return True if self.parity_status is not None: return True if self.stop_bits is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.AuxiliaryNodes.AuxiliaryNode.AuxiliaryLine.AuxiliaryStatistics.Rs232']['meta_info'] class GeneralStatistics(object): """ General statistics of line .. attribute:: absolute_timeout Absolute timeout period **type**\: int **range:** 0..4294967295 .. attribute:: async_interface Usable as async interface **type**\: bool .. attribute:: domain_lookup_enabled DNS resolution enabled **type**\: bool .. attribute:: flow_control_start_character Software flow control start char **type**\: int **range:** \-128..127 .. attribute:: flow_control_stop_character Software flow control stop char **type**\: int **range:** \-128..127 .. attribute:: idle_time TTY idle time **type**\: int **range:** 0..4294967295 .. attribute:: motd_banner_enabled MOTD banner enabled **type**\: bool .. attribute:: private_flag TTY private flag **type**\: bool .. attribute:: terminal_length Terminal length **type**\: int **range:** 0..4294967295 .. attribute:: terminal_type Terminal type **type**\: str .. attribute:: terminal_width Line width **type**\: int **range:** 0..4294967295 """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.absolute_timeout = None self.async_interface = None self.domain_lookup_enabled = None self.flow_control_start_character = None self.flow_control_stop_character = None self.idle_time = None self.motd_banner_enabled = None self.private_flag = None self.terminal_length = None self.terminal_type = None self.terminal_width = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-tty-server-oper:general-statistics' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.absolute_timeout is not None: return True if self.async_interface is not None: return True if self.domain_lookup_enabled is not None: return True if self.flow_control_start_character is not None: return True if self.flow_control_stop_character is not None: return True if self.idle_time is not None: return True if self.motd_banner_enabled is not None: return True if self.private_flag is not None: return True if self.terminal_length is not None: return True if self.terminal_type is not None: return True if self.terminal_width is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.AuxiliaryNodes.AuxiliaryNode.AuxiliaryLine.AuxiliaryStatistics.GeneralStatistics']['meta_info'] class Exec_(object): """ Exec related statistics .. attribute:: time_stamp_enabled Specifies whether timestamp is enabled or not **type**\: bool """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.time_stamp_enabled = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-tty-server-oper:exec' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.time_stamp_enabled is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.AuxiliaryNodes.AuxiliaryNode.AuxiliaryLine.AuxiliaryStatistics.Exec_']['meta_info'] class Aaa(object): """ AAA related statistics .. attribute:: user_name The authenticated username **type**\: str """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.user_name = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-tty-server-oper:aaa' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.user_name is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.AuxiliaryNodes.AuxiliaryNode.AuxiliaryLine.AuxiliaryStatistics.Aaa']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-tty-server-oper:auxiliary-statistics' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.aaa is not None and self.aaa._has_data(): return True if self.exec_ is not None and self.exec_._has_data(): return True if self.general_statistics is not None and self.general_statistics._has_data(): return True if self.rs232 is not None and self.rs232._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.AuxiliaryNodes.AuxiliaryNode.AuxiliaryLine.AuxiliaryStatistics']['meta_info'] class State(object): """ Line state information .. attribute:: general General information **type**\: :py:class:`General <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.AuxiliaryNodes.AuxiliaryNode.AuxiliaryLine.State.General>` .. attribute:: template Information related to template applied to the line **type**\: :py:class:`Template <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.AuxiliaryNodes.AuxiliaryNode.AuxiliaryLine.State.Template>` """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.general = Tty.AuxiliaryNodes.AuxiliaryNode.AuxiliaryLine.State.General() self.general.parent = self self.template = Tty.AuxiliaryNodes.AuxiliaryNode.AuxiliaryLine.State.Template() self.template.parent = self class Template(object): """ Information related to template applied to the line .. attribute:: name Name of the template **type**\: str """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.name = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-tty-server-oper:template' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.name is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.AuxiliaryNodes.AuxiliaryNode.AuxiliaryLine.State.Template']['meta_info'] class General(object): """ General information .. attribute:: general_state State of the line **type**\: :py:class:`LineStateEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.LineStateEnum>` .. attribute:: operation application running of on the tty line **type**\: :py:class:`SessionOperationEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.SessionOperationEnum>` """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.general_state = None self.operation = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-tty-server-oper:general' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.general_state is not None: return True if self.operation is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.AuxiliaryNodes.AuxiliaryNode.AuxiliaryLine.State.General']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-tty-server-oper:state' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.general is not None and self.general._has_data(): return True if self.template is not None and self.template._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.AuxiliaryNodes.AuxiliaryNode.AuxiliaryLine.State']['meta_info'] class Configuration(object): """ Configuration information of the line .. attribute:: connection_configuration Conection configuration information **type**\: :py:class:`ConnectionConfiguration <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.AuxiliaryNodes.AuxiliaryNode.AuxiliaryLine.Configuration.ConnectionConfiguration>` """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.connection_configuration = Tty.AuxiliaryNodes.AuxiliaryNode.AuxiliaryLine.Configuration.ConnectionConfiguration() self.connection_configuration.parent = self class ConnectionConfiguration(object): """ Conection configuration information .. attribute:: acl_in ACL for inbound traffic **type**\: str .. attribute:: acl_out ACL for outbound traffic **type**\: str .. attribute:: transport_input Protocols to use when connecting to the terminal server **type**\: :py:class:`TransportInput <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_server_oper.Tty.AuxiliaryNodes.AuxiliaryNode.AuxiliaryLine.Configuration.ConnectionConfiguration.TransportInput>` """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.acl_in = None self.acl_out = None self.transport_input = Tty.AuxiliaryNodes.AuxiliaryNode.AuxiliaryLine.Configuration.ConnectionConfiguration.TransportInput() self.transport_input.parent = self class TransportInput(object): """ Protocols to use when connecting to the terminal server .. attribute:: none Not used **type**\: int **range:** \-2147483648..2147483647 .. attribute:: protocol1 Transport protocol1 **type**\: :py:class:`TtyTransportProtocolEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_management_datatypes.TtyTransportProtocolEnum>` .. attribute:: protocol2 Transport protocol2 **type**\: :py:class:`TtyTransportProtocolEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_management_datatypes.TtyTransportProtocolEnum>` .. attribute:: select Choose transport protocols **type**\: :py:class:`TtyTransportProtocolSelectEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_tty_management_datatypes.TtyTransportProtocolSelectEnum>` **default value**\: all """ _prefix = 'tty-server-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.none = None self.protocol1 = None self.protocol2 = None self.select = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-tty-server-oper:transport-input' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.none is not None: return True if self.protocol1 is not None: return True if self.protocol2 is not None: return True if self.select is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.AuxiliaryNodes.AuxiliaryNode.AuxiliaryLine.Configuration.ConnectionConfiguration.TransportInput']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-tty-server-oper:connection-configuration' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.acl_in is not None: return True if self.acl_out is not None: return True if self.transport_input is not None and self.transport_input._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.AuxiliaryNodes.AuxiliaryNode.AuxiliaryLine.Configuration.ConnectionConfiguration']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-tty-server-oper:configuration' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.connection_configuration is not None and self.connection_configuration._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.AuxiliaryNodes.AuxiliaryNode.AuxiliaryLine.Configuration']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-tty-server-oper:auxiliary-line' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.auxiliary_statistics is not None and self.auxiliary_statistics._has_data(): return True if self.configuration is not None and self.configuration._has_data(): return True if self.state is not None and self.state._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.AuxiliaryNodes.AuxiliaryNode.AuxiliaryLine']['meta_info'] @property def _common_path(self): if self.id is None: raise YPYModelError('Key property id is None') return '/Cisco-IOS-XR-tty-server-oper:tty/Cisco-IOS-XR-tty-server-oper:auxiliary-nodes/Cisco-IOS-XR-tty-server-oper:auxiliary-node[Cisco-IOS-XR-tty-server-oper:id = ' + str(self.id) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.id is not None: return True if self.auxiliary_line is not None and self.auxiliary_line._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.AuxiliaryNodes.AuxiliaryNode']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-tty-server-oper:tty/Cisco-IOS-XR-tty-server-oper:auxiliary-nodes' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.auxiliary_node is not None: for child_ref in self.auxiliary_node: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty.AuxiliaryNodes']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-tty-server-oper:tty' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.auxiliary_nodes is not None and self.auxiliary_nodes._has_data(): return True if self.console_nodes is not None and self.console_nodes._has_data(): return True if self.vty_lines is not None and self.vty_lines._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_tty_server_oper as meta return meta._meta_table['Tty']['meta_info']

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0.434906

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126,011

5.066577

0.027499

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0.052371

0.041345

0.926966

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126,011

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null

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1

0

1

0

1

0

null

0

1

0

9

ffe8e797ff507e4c149d85bd0df812957a4e0587

2,077

py

Python

mama_cas/migrations/0002_ticket.py

taoky/django-mama-cas

9fbca9c33bfb139da12d922f7583c27c654e4049

[ "BSD-3-Clause" ]

null

mama_cas/migrations/0002_ticket.py

taoky/django-mama-cas

9fbca9c33bfb139da12d922f7583c27c654e4049

[ "BSD-3-Clause" ]

null

mama_cas/migrations/0002_ticket.py

taoky/django-mama-cas

9fbca9c33bfb139da12d922f7583c27c654e4049

[ "BSD-3-Clause" ]

null

# Generated by Django 3.2.6 on 2021-09-02 10:28 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('mama_cas', '0001_initial'), ] operations = [ migrations.AddField( model_name='proxygrantingticket', name='login_ip', field=models.GenericIPAddressField(blank=True, null=True, verbose_name='ip'), ), migrations.AddField( model_name='proxygrantingticket', name='username', field=models.CharField(blank=True, max_length=255, verbose_name='username'), ), migrations.AddField( model_name='proxyticket', name='login_ip', field=models.GenericIPAddressField(blank=True, null=True, verbose_name='ip'), ), migrations.AddField( model_name='proxyticket', name='username', field=models.CharField(blank=True, max_length=255, verbose_name='username'), ), migrations.AddField( model_name='serviceticket', name='login_ip', field=models.GenericIPAddressField(blank=True, null=True, verbose_name='ip'), ), migrations.AddField( model_name='serviceticket', name='username', field=models.CharField(blank=True, max_length=255, verbose_name='username'), ), migrations.AlterField( model_name='proxygrantingticket', name='id', field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'), ), migrations.AlterField( model_name='proxyticket', name='id', field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'), ), migrations.AlterField( model_name='serviceticket', name='id', field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'), ), ]

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2,077

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112

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0

null

0

1

0

1

0

null

0

8

08178215b576ae3a998049998edb796d77b9eced

109

py

Python

partools/mail/__init__.py

paularnaud2/PyTools

09accc33e1dcfdde45671ad5962727554648b30c

[ "MIT" ]

null

partools/mail/__init__.py

paularnaud2/PyTools

09accc33e1dcfdde45671ad5962727554648b30c

[ "MIT" ]

null

partools/mail/__init__.py

paularnaud2/PyTools

09accc33e1dcfdde45671ad5962727554648b30c

[ "MIT" ]

null

from .main import gmail from .main import no_auth from .main import outlook from .functions import init_mail

21.8

32

0.816514

18

109

4.833333

0.555556

0.275862

0.482759

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0.146789

109

4

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27.25

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1

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null

0

1

0

1

0

1

0

7

08465bf2dc785a727396d083bf37deae0409c8f8

1,050

py

Python

red-scare/src/test_output.py

Sebastian-ba/DoDoBing

6edcc18de22ad76505d2c13ac6a207a2c274cc95

[ "MIT" ]

3

2017-09-25T11:59:20.000Z

2017-11-20T12:55:21.000Z

red-scare/src/test_output.py

ITU-2019/DoDoBing

6edcc18de22ad76505d2c13ac6a207a2c274cc95

[ "MIT" ]

6

2017-09-25T12:04:51.000Z

2017-11-13T07:51:40.000Z

red-scare/src/test_output.py

ITU-2019/DoDoBing

6edcc18de22ad76505d2c13ac6a207a2c274cc95

[ "MIT" ]

null

from main import * def test_output_1(): print() res = output("Testfile", 43, True, 3,2,1, False, False) res1 = output("Testfile", 43, True, 3,2,1, False, False) res2 = output("Testfile", 43, True, 3,2,1, False, False) res3 = output("Testfile", 43, True, 3,2,1, False, False) res4 = output("Testfile", 43, True, 3,2,1, False, False) res5 = output("Testfile", 43, True, 3,2,1, False, False) print(res) print(res1) print(res2) print(res3) print(res4) print(res5) def test_output_2(): print() res = output("Testfile", 43, True, 3,2,1, False, True) res1 = output("Testfile", 43, True, 3,2,1, False, True) res2 = output("Testfile", 43, True, 3,2,1, False, True) res3 = output("Testfile", 43, True, 3,2,1, False, True) res4 = output("Testfile", 43, True, 3,2,1, False, True) res5 = output("Testfile", 43, True, 3,2,1, False, True) print(res) print(res1) print(res2) print(res3) print(res4) print(res5)

29.166667

61

0.569524

157

1,050

3.783439

0.127389

0.282828

0.323232

0.40404

0.929293

0.299663

0

0.105534

0.26

1,050

35

62

30

0.658945

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0.482759

0

0.094768

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1

0.068966

false

0

0.034483

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0

null

1

0

null

0

1

0

9

4b4280b41cc95077e54f7dd66f0b715ae4c9fea2

2,770

py

Python

daq-gui/roi_window_ui.py

Sovichea/instrumentation-opendaq-rpi3

ed8b00bce131d8960ddc2a0d130c442b77a4a087

[ "MIT" ]

1

2017-12-08T17:07:12.000Z

daq-gui/roi_window_ui.py

Sovichea/instrumentation-opendaq-rpi3

ed8b00bce131d8960ddc2a0d130c442b77a4a087

[ "MIT" ]

null

daq-gui/roi_window_ui.py

Sovichea/instrumentation-opendaq-rpi3

ed8b00bce131d8960ddc2a0d130c442b77a4a087

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Form implementation generated from reading ui file 'roi_window.ui' # # Created by: PyQt4 UI code generator 4.11.4 # # WARNING! All changes made in this file will be lost! from PyQt4 import QtCore, QtGui try: _fromUtf8 = QtCore.QString.fromUtf8 except AttributeError: def _fromUtf8(s): return s try: _encoding = QtGui.QApplication.UnicodeUTF8 def _translate(context, text, disambig): return QtGui.QApplication.translate(context, text, disambig, _encoding) except AttributeError: def _translate(context, text, disambig): return QtGui.QApplication.translate(context, text, disambig) class Ui_Form_roi(object): def setupUi(self, Form_roi): Form_roi.setObjectName(_fromUtf8("Form_roi")) Form_roi.resize(400, 300) self.verticalLayout = QtGui.QVBoxLayout(Form_roi) self.verticalLayout.setObjectName(_fromUtf8("verticalLayout")) self.graphicsView = PlotWidget(Form_roi) self.graphicsView.setObjectName(_fromUtf8("graphicsView")) self.verticalLayout.addWidget(self.graphicsView) self.retranslateUi(Form_roi) QtCore.QMetaObject.connectSlotsByName(Form_roi) def retranslateUi(self, Form_roi): Form_roi.setWindowTitle(_translate("Form_roi", "Form", None)) from pyqtgraph import PlotWidget # -*- coding: utf-8 -*- # Form implementation generated from reading ui file 'roi_window.ui' # # Created by: PyQt4 UI code generator 4.11.4 # # WARNING! All changes made in this file will be lost! from PyQt4 import QtCore, QtGui try: _fromUtf8 = QtCore.QString.fromUtf8 except AttributeError: def _fromUtf8(s): return s try: _encoding = QtGui.QApplication.UnicodeUTF8 def _translate(context, text, disambig): return QtGui.QApplication.translate(context, text, disambig, _encoding) except AttributeError: def _translate(context, text, disambig): return QtGui.QApplication.translate(context, text, disambig) class Ui_Form_roi(object): def setupUi(self, Form_roi): Form_roi.setObjectName(_fromUtf8("Form_roi")) Form_roi.resize(400, 300) self.verticalLayout = QtGui.QVBoxLayout(Form_roi) self.verticalLayout.setObjectName(_fromUtf8("verticalLayout")) self.graphicsView = PlotWidget(Form_roi) self.graphicsView.setObjectName(_fromUtf8("graphicsView")) self.verticalLayout.addWidget(self.graphicsView) self.retranslateUi(Form_roi) QtCore.QMetaObject.connectSlotsByName(Form_roi) def retranslateUi(self, Form_roi): Form_roi.setWindowTitle(_translate("Form_roi", "Form", None)) from pyqtgraph import PlotWidget

33.373494

80

0.701805

308

2,770

6.155844

0.211039

0.088608

0.084388

0.118143

1

0

0.018165

0.205054

2,770

82

81

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0

1

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false

0

0.074074

0.111111

0.407407

0

null

0

1

0

1

0

null

0

1

0

9

4bafa487132743606b971ee250c9b2ed7e3fc942

484

py

Python

code/chapter_02/listing_02_03.py

guinslym/python_earth_science_book

f4dd0115dbbce140c6713989f630a71238daa72c

[ "MIT" ]

80

2021-04-19T10:03:57.000Z

2022-03-30T15:34:47.000Z

code/chapter_02/listing_02_03.py

guinslym/python_earth_science_book

f4dd0115dbbce140c6713989f630a71238daa72c

[ "MIT" ]

null

code/chapter_02/listing_02_03.py

guinslym/python_earth_science_book

f4dd0115dbbce140c6713989f630a71238daa72c

[ "MIT" ]

23

2021-04-25T03:50:07.000Z

2022-03-22T03:06:19.000Z

# this instruction is always executed # this instruction is always executed # this instruction is always executed if a == 1: # this instruction is executed if a = 1 if b == 3: # this instruction is executed if a = 1 and b = 3 # this instruction is executed if a = 1 and b = 3 # this instruction is executed if a = 1 # this instruction is executed if a = 1 # this instruction is executed if a = 1 # this instruction is always executed

32.266667

57

0.652893

74

484

4.27027

0.148649

0.474684

0.537975

0.265823

0.993671

0.949367

0

0.029412

0.297521

484

14

58

34.571429

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0.81405

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null

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0

null

1

0

1

0

null

0

1

0

11

4bbd260c0ec694c143844cf243aefc9245c52582

32,189

py

Python

tb_rest_client/api/api_ce/auth_controller_api.py

jernkuan/thingsboard-python-rest-client

3fb25272507494e6d494b27ca2380d3c543562e5

[ "Apache-2.0" ]

null

tb_rest_client/api/api_ce/auth_controller_api.py

jernkuan/thingsboard-python-rest-client

3fb25272507494e6d494b27ca2380d3c543562e5

[ "Apache-2.0" ]

null

tb_rest_client/api/api_ce/auth_controller_api.py

jernkuan/thingsboard-python-rest-client

3fb25272507494e6d494b27ca2380d3c543562e5

[ "Apache-2.0" ]

1

2021-11-26T11:24:56.000Z

# coding: utf-8 """ ThingsBoard REST API For instructions how to authorize requests please visit <a href='http://thingsboard.io/docs/reference/rest-api/'>REST API documentation page</a>. # noqa: E501 OpenAPI spec version: 2.0 Contact: info@thingsboard.io Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from tb_rest_client.api_client import ApiClient class AuthControllerApi(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def activate_user_using_post(self, body, **kwargs): # noqa: E501 """activateUser # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.activate_user_using_post(body, async_req=True) >>> result = thread.get() :param async_req bool :param str body: activateRequest (required) :param bool send_activation_mail: sendActivationMail :return: str If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.activate_user_using_post_with_http_info(body, **kwargs) # noqa: E501 else: (data) = self.activate_user_using_post_with_http_info(body, **kwargs) # noqa: E501 return data def activate_user_using_post_with_http_info(self, body, **kwargs): # noqa: E501 """activateUser # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.activate_user_using_post_with_http_info(body, async_req=True) >>> result = thread.get() :param async_req bool :param str body: activateRequest (required) :param bool send_activation_mail: sendActivationMail :return: str If the method is called asynchronously, returns the request thread. """ all_params = ['body', 'send_activation_mail'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method activate_user_using_post" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `activate_user_using_post`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] if 'send_activation_mail' in params: query_params.append(('sendActivationMail', params['send_activation_mail'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/api/noauth/activate{?sendActivationMail}', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='str', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def change_password_using_post(self, body, **kwargs): # noqa: E501 """changePassword # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.change_password_using_post(body, async_req=True) >>> result = thread.get() :param async_req bool :param str body: changePasswordRequest (required) :return: ObjectNode If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.change_password_using_post_with_http_info(body, **kwargs) # noqa: E501 else: (data) = self.change_password_using_post_with_http_info(body, **kwargs) # noqa: E501 return data def change_password_using_post_with_http_info(self, body, **kwargs): # noqa: E501 """changePassword # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.change_password_using_post_with_http_info(body, async_req=True) >>> result = thread.get() :param async_req bool :param str body: changePasswordRequest (required) :return: ObjectNode If the method is called asynchronously, returns the request thread. """ all_params = ['body'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method change_password_using_post" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `change_password_using_post`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['X-Authorization'] # noqa: E501 return self.api_client.call_api( '/api/auth/changePassword', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ObjectNode', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def check_activate_token_using_get(self, activate_token, **kwargs): # noqa: E501 """checkActivateToken # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.check_activate_token_using_get(activate_token, async_req=True) >>> result = thread.get() :param async_req bool :param str activate_token: activateToken (required) :return: str If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.check_activate_token_using_get_with_http_info(activate_token, **kwargs) # noqa: E501 else: (data) = self.check_activate_token_using_get_with_http_info(activate_token, **kwargs) # noqa: E501 return data def check_activate_token_using_get_with_http_info(self, activate_token, **kwargs): # noqa: E501 """checkActivateToken # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.check_activate_token_using_get_with_http_info(activate_token, async_req=True) >>> result = thread.get() :param async_req bool :param str activate_token: activateToken (required) :return: str If the method is called asynchronously, returns the request thread. """ all_params = ['activate_token'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method check_activate_token_using_get" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'activate_token' is set if ('activate_token' not in params or params['activate_token'] is None): raise ValueError("Missing the required parameter `activate_token` when calling `check_activate_token_using_get`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] if 'activate_token' in params: query_params.append(('activateToken', params['activate_token'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/api/noauth/activate{?activateToken}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='str', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def check_reset_token_using_get(self, reset_token, **kwargs): # noqa: E501 """checkResetToken # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.check_reset_token_using_get(reset_token, async_req=True) >>> result = thread.get() :param async_req bool :param str reset_token: resetToken (required) :return: str If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.check_reset_token_using_get_with_http_info(reset_token, **kwargs) # noqa: E501 else: (data) = self.check_reset_token_using_get_with_http_info(reset_token, **kwargs) # noqa: E501 return data def check_reset_token_using_get_with_http_info(self, reset_token, **kwargs): # noqa: E501 """checkResetToken # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.check_reset_token_using_get_with_http_info(reset_token, async_req=True) >>> result = thread.get() :param async_req bool :param str reset_token: resetToken (required) :return: str If the method is called asynchronously, returns the request thread. """ all_params = ['reset_token'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method check_reset_token_using_get" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'reset_token' is set if ('reset_token' not in params or params['reset_token'] is None): raise ValueError("Missing the required parameter `reset_token` when calling `check_reset_token_using_get`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] if 'reset_token' in params: query_params.append(('resetToken', params['reset_token'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/api/noauth/resetPassword{?resetToken}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='str', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_user_password_policy_using_get(self, **kwargs): # noqa: E501 """getUserPasswordPolicy # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_user_password_policy_using_get(async_req=True) >>> result = thread.get() :param async_req bool :return: UserPasswordPolicy If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_user_password_policy_using_get_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_user_password_policy_using_get_with_http_info(**kwargs) # noqa: E501 return data def get_user_password_policy_using_get_with_http_info(self, **kwargs): # noqa: E501 """getUserPasswordPolicy # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_user_password_policy_using_get_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :return: UserPasswordPolicy If the method is called asynchronously, returns the request thread. """ all_params = [] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_user_password_policy_using_get" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/api/noauth/userPasswordPolicy', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='UserPasswordPolicy', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_user_using_get(self, **kwargs): # noqa: E501 """getUser # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_user_using_get(async_req=True) >>> result = thread.get() :param async_req bool :return: User If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_user_using_get_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_user_using_get_with_http_info(**kwargs) # noqa: E501 return data def get_user_using_get_with_http_info(self, **kwargs): # noqa: E501 """getUser # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_user_using_get_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :return: User If the method is called asynchronously, returns the request thread. """ all_params = [] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_user_using_get" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['X-Authorization'] # noqa: E501 return self.api_client.call_api( '/api/auth/user', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='User', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def logout_using_post(self, **kwargs): # noqa: E501 """logout # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.logout_using_post(async_req=True) >>> result = thread.get() :param async_req bool :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.logout_using_post_with_http_info(**kwargs) # noqa: E501 else: (data) = self.logout_using_post_with_http_info(**kwargs) # noqa: E501 return data def logout_using_post_with_http_info(self, **kwargs): # noqa: E501 """logout # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.logout_using_post_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :return: None If the method is called asynchronously, returns the request thread. """ all_params = [] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method logout_using_post" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = ['X-Authorization'] # noqa: E501 return self.api_client.call_api( '/api/auth/logout', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def request_reset_password_by_email_using_post(self, body, **kwargs): # noqa: E501 """requestResetPasswordByEmail # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.request_reset_password_by_email_using_post(body, async_req=True) >>> result = thread.get() :param async_req bool :param str body: resetPasswordByEmailRequest (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.request_reset_password_by_email_using_post_with_http_info(body, **kwargs) # noqa: E501 else: (data) = self.request_reset_password_by_email_using_post_with_http_info(body, **kwargs) # noqa: E501 return data def request_reset_password_by_email_using_post_with_http_info(self, body, **kwargs): # noqa: E501 """requestResetPasswordByEmail # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.request_reset_password_by_email_using_post_with_http_info(body, async_req=True) >>> result = thread.get() :param async_req bool :param str body: resetPasswordByEmailRequest (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['body'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method request_reset_password_by_email_using_post" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `request_reset_password_by_email_using_post`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/api/noauth/resetPasswordByEmail', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def reset_password_using_post(self, body, **kwargs): # noqa: E501 """resetPassword # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.reset_password_using_post(body, async_req=True) >>> result = thread.get() :param async_req bool :param str body: resetPasswordRequest (required) :return: str If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.reset_password_using_post_with_http_info(body, **kwargs) # noqa: E501 else: (data) = self.reset_password_using_post_with_http_info(body, **kwargs) # noqa: E501 return data def reset_password_using_post_with_http_info(self, body, **kwargs): # noqa: E501 """resetPassword # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.reset_password_using_post_with_http_info(body, async_req=True) >>> result = thread.get() :param async_req bool :param str body: resetPasswordRequest (required) :return: str If the method is called asynchronously, returns the request thread. """ all_params = ['body'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method reset_password_using_post" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `reset_password_using_post`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/api/noauth/resetPassword', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='str', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats)

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1

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null

0

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8

29a86b74695876b3b452671dda5339b5c1b92205

1,601

py

Python

test/test_add_group.py

ruslankl9/python_training

7bcaf2606a80935a4a0c458af4e6a078f241fb38

[ "Apache-2.0" ]

null

test/test_add_group.py

ruslankl9/python_training

7bcaf2606a80935a4a0c458af4e6a078f241fb38

[ "Apache-2.0" ]

null

test/test_add_group.py

ruslankl9/python_training

7bcaf2606a80935a4a0c458af4e6a078f241fb38

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- from model.group import Group import pytest def test_add_group_data(app, db, data_groups, check_ui): group = data_groups with pytest.allure.step('Given a group list'): old_groups = db.get_group_list() with pytest.allure.step('When I add a group %s to the list' % group): app.group.create(group) with pytest.allure.step('Then the new group list is equal to the old list with the added group'): new_groups = db.get_group_list() old_groups.append(group) assert sorted(old_groups, key=group.id_or_max) == sorted(new_groups, key=group.id_or_max) if check_ui: assert sorted(map(lambda x: Group(id=x.id, name=x.name.strip()), new_groups), key=group.id_or_max) == \ sorted(app.group.get_group_list(), key=Group.id_or_max) def test_add_group_json(app, db, json_groups, check_ui): group = json_groups with pytest.allure.step('Given a group list'): old_groups = db.get_group_list() with pytest.allure.step('When I add a group %s to the list' % group): app.group.create(group) with pytest.allure.step('Then the new group list is equal to the old list with the added group'): new_groups = db.get_group_list() old_groups.append(group) assert sorted(old_groups, key=group.id_or_max) == sorted(new_groups, key=group.id_or_max) if check_ui: assert sorted(map(lambda x: Group(id=x.id, name=x.name.strip()), new_groups), key=group.id_or_max) == \ sorted(app.group.get_group_list(), key=Group.id_or_max)

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115

0.670206

262

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0

1

0

null

0

7

29bcd6aa3f57e6f463eca65febe9064b0eac349f

23,868

py

Python

tests/test_IP_drawer.py

dmulyalin/N2G

78c7395d0c08b45183c1951857a2fb8b2ead7fda

[ "MIT" ]

84

2020-07-13T22:00:03.000Z

2022-03-24T03:35:03.000Z

tests/test_IP_drawer.py

dmulyalin/N2G

78c7395d0c08b45183c1951857a2fb8b2ead7fda

[ "MIT" ]

14

2020-10-08T04:56:01.000Z

2022-03-12T17:32:59.000Z

tests/test_IP_drawer.py

dmulyalin/N2G

78c7395d0c08b45183c1951857a2fb8b2ead7fda

[ "MIT" ]

12

2021-01-18T00:01:16.000Z

2022-03-14T09:09:28.000Z

import sys sys.path.insert(0,'..') # after updated sys path, can do N2G import from parent dir from N2G import drawio_diagram as create_drawio_diagram from N2G import yed_diagram as create_yed_diagram from N2G import ip_drawer def test_ip_drawing_yed_data_dict_base(): data = {"Cisco_IOS": [""" switch_1# show run interfaces interface Loopback0 description Routing Loopback ip address 10.123.0.4 255.255.255.255 ! interface TenGigabitEthernet1/1/3 description to SWITCH_2 vrf VRF1 link 1 vrf forwarding VRF2 ip address 10.123.2.3 255.255.255.254 ! interface TenGigabitEthernet1/1/4 description to SWITCH_2 vrf VRF1 link 2 vrf forwarding VRF2 ip address 10.123.2.4 255.255.255.254 ! interface TenGigabitEthernet1/1/5 description to SWITCH_3 ip address 10.1.33.1 255.255.255.0 ! interface TenGigabitEthernet1/1/7 description to SWITCH_2 shared subnet ip address 10.1.234.1 255.255.255.0 ! interface Vlan123 description Workstations Vlan vrf forwarding CORP ip address 10.123.111.1 255.255.255.0 ip address 10.123.222.1 255.255.255.0 secondary ip address 10.123.233.1 255.255.255.0 secondary """, """ switch_2# show run interfaces interface Loopback0 description Routing Loopback ip address 10.123.0.5 255.255.255.255 ! interface GigabitEthernet1/3 description to SWITCH_1 link 1 vrf forwarding VRF1 ip address 10.123.2.2 255.255.255.254 ! interface GigabitEthernet1/4 description to SWITCH_1 links 2 vrf forwarding VRF1 ip address 10.123.2.4 255.255.255.254 ! interface TenGigabitEthernet1/1/71 description to SWITCH_2 shared subnet ip address 10.1.234.2 255.255.255.0 ! interface Vlan11 description Workstations Vlan vrf forwarding Staff Workstations ip address 10.11.11.1 255.255.255.0 ! interface Vlan22 description Workstations Vlan vrf forwarding Staff Phones ip address 10.22.22.1 255.255.255.0 """] } config = {} drawing = create_yed_diagram() drawer = ip_drawer(drawing, config) drawer.work(data) drawer.drawing.dump_file(filename="test_ip_drawing_yed_data_dict_base.graphml", folder="./Output/") with open ("./Output/test_ip_drawing_yed_data_dict_base.graphml") as produced: with open("./Output/should_be_test_ip_drawing_yed_data_dict_base.graphml") as should_be: assert produced.read() == should_be.read() # test_ip_drawing_yed_data_dict_base() def test_ip_drawing_yed_data_dict_group_links(): data = {"Cisco_IOS": [""" switch_1# show run interfaces interface Loopback0 description Routing Loopback ip address 10.123.0.4 255.255.255.255 ! interface TenGigabitEthernet1/1/3 description to SWITCH_2 vrf VRF1 link 1 vrf forwarding VRF2 ip address 10.123.2.3 255.255.255.254 ! interface TenGigabitEthernet1/1/4 description to SWITCH_2 vrf VRF1 link 2 vrf forwarding VRF2 ip address 10.123.2.4 255.255.255.254 ! interface TenGigabitEthernet1/1/5 description to SWITCH_3 ip address 10.1.33.1 255.255.255.0 ! interface TenGigabitEthernet1/1/7 description to SWITCH_2 shared subnet ip address 10.1.234.1 255.255.255.0 ! interface Vlan123 description Workstations Vlan vrf forwarding CORP ip address 10.123.111.1 255.255.255.0 ip address 10.123.222.1 255.255.255.0 secondary ip address 10.123.233.1 255.255.255.0 secondary """, """ switch_2# show run interfaces interface Loopback0 description Routing Loopback ip address 10.123.0.5 255.255.255.255 ! interface GigabitEthernet1/3 description to SWITCH_1 link 1 vrf forwarding VRF1 ip address 10.123.2.2 255.255.255.254 ! interface GigabitEthernet1/4 description to SWITCH_1 links 2 vrf forwarding VRF1 ip address 10.123.2.5 255.255.255.254 ! interface TenGigabitEthernet1/1/71 description to SWITCH_2 shared subnet ip address 10.1.234.2 255.255.255.0 ! interface Vlan11 description Workstations Vlan vrf forwarding Staff Workstations ip address 10.11.11.1 255.255.255.0 ! interface Vlan22 description Workstations Vlan vrf forwarding Staff Phones ip address 10.22.22.1 255.255.255.0 """] } config = { "group_links": True } drawing = create_yed_diagram() drawer = ip_drawer(drawing, config) drawer.work(data) drawer.drawing.dump_file(filename="test_ip_drawing_yed_data_dict_group_links.graphml", folder="./Output/") with open ("./Output/test_ip_drawing_yed_data_dict_group_links.graphml") as produced: with open("./Output/should_be_test_ip_drawing_yed_data_dict_group_links.graphml") as should_be: assert produced.read() == should_be.read() # test_ip_drawing_yed_data_dict_group_links() def test_ip_drawing_yed_data_dict_add_vrf_link_label(): data = {"Cisco_IOS": [""" switch_1# show run interfaces interface Loopback0 description Routing Loopback ip address 10.123.0.4 255.255.255.255 ! interface TenGigabitEthernet1/1/3 description to SWITCH_2 vrf VRF1 link 1 vrf forwarding VRF2 ip address 10.123.2.3 255.255.255.254 ! interface TenGigabitEthernet1/1/4 description to SWITCH_2 vrf VRF1 link 2 vrf forwarding VRF2 ip address 10.123.2.4 255.255.255.254 ! interface TenGigabitEthernet1/1/5 description to SWITCH_3 ip address 10.1.33.1 255.255.255.0 ! interface TenGigabitEthernet1/1/7 description to SWITCH_2 shared subnet ip address 10.1.234.1 255.255.255.0 ! interface Vlan123 description Workstations Vlan vrf forwarding CORP ip address 10.123.111.1 255.255.255.0 ip address 10.123.222.1 255.255.255.0 secondary ip address 10.123.233.1 255.255.255.0 secondary """, """ switch_2# show run interfaces interface Loopback0 description Routing Loopback ip address 10.123.0.5 255.255.255.255 ! interface GigabitEthernet1/3 description to SWITCH_1 link 1 vrf forwarding VRF1 ip address 10.123.2.2 255.255.255.254 ! interface GigabitEthernet1/4 description to SWITCH_1 links 2 vrf forwarding VRF1 ip address 10.123.2.5 255.255.255.254 ! interface TenGigabitEthernet1/1/71 description to SWITCH_2 shared subnet ip address 10.1.234.2 255.255.255.0 ! interface Vlan11 description Workstations Vlan vrf forwarding Staff Workstations ip address 10.11.11.1 255.255.255.0 ! interface Vlan22 description Workstations Vlan vrf forwarding Staff Phones ip address 10.22.22.1 255.255.255.0 """] } config = { "label_vrf": True } drawing = create_yed_diagram() drawer = ip_drawer(drawing, config) drawer.work(data) drawer.drawing.dump_file(filename="test_ip_drawing_yed_data_dict_add_vrf_link_label.graphml", folder="./Output/") with open ("./Output/test_ip_drawing_yed_data_dict_add_vrf_link_label.graphml") as produced: with open("./Output/should_be_test_ip_drawing_yed_data_dict_add_vrf_link_label.graphml") as should_be: assert produced.read() == should_be.read() def test_ip_drawing_yed_data_dict_add_interface_link_label(): data = {"Cisco_IOS": [""" switch_1# show run interfaces interface Loopback0 description Routing Loopback ip address 10.123.0.4 255.255.255.255 ! interface TenGigabitEthernet1/1/3 description to SWITCH_2 vrf VRF1 link 1 vrf forwarding VRF2 ip address 10.123.2.3 255.255.255.254 ! interface TenGigabitEthernet1/1/4 description to SWITCH_2 vrf VRF1 link 2 vrf forwarding VRF2 ip address 10.123.2.4 255.255.255.254 ! interface TenGigabitEthernet1/1/5 description to SWITCH_3 ip address 10.1.33.1 255.255.255.0 ! interface TenGigabitEthernet1/1/7 description to SWITCH_2 shared subnet ip address 10.1.234.1 255.255.255.0 ! interface Vlan123 description Workstations Vlan vrf forwarding CORP ip address 10.123.111.1 255.255.255.0 ip address 10.123.222.1 255.255.255.0 secondary ip address 10.123.233.1 255.255.255.0 secondary """, """ switch_2# show run interfaces interface Loopback0 description Routing Loopback ip address 10.123.0.5 255.255.255.255 ! interface GigabitEthernet1/3 description to SWITCH_1 link 1 vrf forwarding VRF1 ip address 10.123.2.2 255.255.255.254 ! interface GigabitEthernet1/4 description to SWITCH_1 links 2 vrf forwarding VRF1 ip address 10.123.2.5 255.255.255.254 ! interface TenGigabitEthernet1/1/71 description to SWITCH_2 shared subnet ip address 10.1.234.2 255.255.255.0 ! interface Vlan11 description Workstations Vlan vrf forwarding Staff Workstations ip address 10.11.11.1 255.255.255.0 ! interface Vlan22 description Workstations Vlan vrf forwarding Staff Phones ip address 10.22.22.1 255.255.255.0 """] } config = { "label_interface": True } drawing = create_yed_diagram() drawer = ip_drawer(drawing, config) drawer.work(data) drawer.drawing.dump_file(filename="test_ip_drawing_yed_data_dict_add_interface_link_label.graphml", folder="./Output/") with open ("./Output/test_ip_drawing_yed_data_dict_add_interface_link_label.graphml") as produced: with open("./Output/should_be_test_ip_drawing_yed_data_dict_add_interface_link_label.graphml") as should_be: assert produced.read() == should_be.read() def test_ip_drawing_yed_data_dict_add_interface_vrf_link_label(): data = {"Cisco_IOS": [""" switch_1# show run interfaces interface Loopback0 description Routing Loopback ip address 10.123.0.4 255.255.255.255 ! interface TenGigabitEthernet1/1/3 description to SWITCH_2 vrf VRF1 link 1 vrf forwarding VRF2 ip address 10.123.2.3 255.255.255.254 ! interface TenGigabitEthernet1/1/4 description to SWITCH_2 vrf VRF1 link 2 vrf forwarding VRF2 ip address 10.123.2.4 255.255.255.254 ! interface TenGigabitEthernet1/1/5 description to SWITCH_3 ip address 10.1.33.1 255.255.255.0 ! interface TenGigabitEthernet1/1/7 description to SWITCH_2 shared subnet ip address 10.1.234.1 255.255.255.0 ! interface Vlan123 description Workstations Vlan vrf forwarding CORP ip address 10.123.111.1 255.255.255.0 ip address 10.123.222.1 255.255.255.0 secondary ip address 10.123.233.1 255.255.255.0 secondary """, """ switch_2# show run interfaces interface Loopback0 description Routing Loopback ip address 10.123.0.5 255.255.255.255 ! interface GigabitEthernet1/3 description to SWITCH_1 link 1 vrf forwarding VRF1 ip address 10.123.2.2 255.255.255.254 ! interface GigabitEthernet1/4 description to SWITCH_1 links 2 vrf forwarding VRF1 ip address 10.123.2.5 255.255.255.254 ! interface TenGigabitEthernet1/1/71 description to SWITCH_2 shared subnet ip address 10.1.234.2 255.255.255.0 ! interface Vlan11 description Workstations Vlan vrf forwarding Staff Workstations ip address 10.11.11.1 255.255.255.0 ! interface Vlan22 description Workstations Vlan vrf forwarding Staff Phones ip address 10.22.22.1 255.255.255.0 """] } config = { "label_interface": True, "label_vrf": True } drawing = create_yed_diagram() drawer = ip_drawer(drawing, config) drawer.work(data) drawer.drawing.dump_file(filename="test_ip_drawing_yed_data_dict_add_interface_vrf_link_label.graphml", folder="./Output/") with open ("./Output/test_ip_drawing_yed_data_dict_add_interface_vrf_link_label.graphml") as produced: with open("./Output/should_be_test_ip_drawing_yed_data_dict_add_interface_vrf_link_label.graphml") as should_be: assert produced.read() == should_be.read() def test_ip_drawing_yed_data_dict_add_arp(): data = {"Cisco_IOS": [""" switch_1# show run interfaces interface TenGigabitEthernet1/1/5 description to SWITCH_3 ip address 10.1.33.1 255.255.255.0 ! interface TenGigabitEthernet1/1/7 description to SWITCH_2 shared subnet ip address 10.1.234.1 255.255.255.0 ! interface Vlan123 description Workstations Vlan vrf forwarding CORP ip address 10.123.111.1 255.255.255.0 ip address 10.123.222.1 255.255.255.0 secondary ip address 10.123.233.1 255.255.255.0 secondary switch_1# show ip arp Internet 10.123.111.1 - d094.6643.1111 ARPA Vlan123 Internet 10.123.111.3 0 0008.e3ff.1333 ARPA Vlan123 Internet 10.123.111.4 106 d867.d9b7.1444 ARPA Vlan123 Internet 10.123.111.5 106 d867.d9b7.1555 ARPA Vlan123 Internet 10.123.233.1 - 0008.e3ff.2111 ARPA Vlan123 Internet 10.123.233.3 166 d867.d9b7.2333 ARPA Vlan123 Internet 10.123.233.4 31 0008.e3ff.2444 ARPA Vlan123 Internet 10.123.233.6 31 0008.e3ff.2666 ARPA Vlan123 Internet 10.1.234.1 - d867.d9b7.1111 ARPA TenGigabitEthernet1/1/7 Internet 10.1.234.2 31 0008.e3ff.1234 ARPA TenGigabitEthernet1/1/7 Internet 10.1.234.3 31 0008.e3ff.4321 ARPA TenGigabitEthernet1/1/7 """, """ switch_2# show run interfaces interface TenGigabitEthernet1/1/71 description to SWITCH_2 shared subnet ip address 10.1.234.2 255.255.255.0 ! interface Vlan11 description Workstations Vlan vrf forwarding Staff Workstations ip address 10.11.11.1 255.255.255.0 ! interface Vlan22 description Workstations Vlan vrf forwarding Staff Phones ip address 10.22.22.1 255.255.255.0 switch_2# show ip arp Internet 10.22.22.1 - d094.7890.1111 ARPA Vlan22 Internet 10.22.22.3 0 0008.7890.1333 ARPA Vlan22 Internet 10.22.22.4 106 d867.7890.1444 ARPA Vlan22 Internet 10.1.234.1 5 d867.d9b7.1111 ARPA TenGigabitEthernet1/1/71 Internet 10.1.234.2 - 0008.e3ff.1234 ARPA TenGigabitEthernet1/1/71 Internet 10.1.234.3 78 0008.e3ff.4321 ARPA TenGigabitEthernet1/1/71 """] } config = { "add_arp": True } drawing = create_yed_diagram() drawer = ip_drawer(drawing, config) drawer.work(data) drawer.drawing.dump_file(filename="test_ip_drawing_yed_data_dict_add_arp.graphml", folder="./Output/") with open ("./Output/test_ip_drawing_yed_data_dict_add_arp.graphml") as produced: with open("./Output/should_be_test_ip_drawing_yed_data_dict_add_arp.graphml") as should_be: assert produced.read() == should_be.read() # test_ip_drawing_yed_data_dict_add_arp() def test_ip_drawing_yed_data_dict_add_arp_and_fhrp(): data = {"Cisco_IOS": [""" switch_1# show run interfaces interface TenGigabitEthernet1/1/5 description to SWITCH_3 ip address 10.1.33.1 255.255.255.0 ! interface TenGigabitEthernet1/1/3 description to SWITCH_2 vrf VRF1 link 1 vrf forwarding VRF2 ip address 10.123.2.3 255.255.255.254 ! interface TenGigabitEthernet1/1/4 description to SWITCH_2 vrf VRF1 link 2 vrf forwarding VRF2 ip address 10.123.2.4 255.255.255.254 ! interface TenGigabitEthernet1/1/7 description to SWITCH_2 shared subnet ip address 10.1.234.1 255.255.255.0 standby 1 10.1.234.99 ! interface Vlan123 description Workstations Vlan vrf forwarding CORP ip address 10.123.111.1 255.255.255.0 ip address 10.123.222.1 255.255.255.0 secondary ip address 10.123.233.1 255.255.255.0 secondary switch_1# show ip arp Internet 10.123.111.1 - d094.6643.1111 ARPA Vlan123 Internet 10.123.111.3 0 0008.e3ff.1333 ARPA Vlan123 Internet 10.123.111.4 106 d867.d9b7.1444 ARPA Vlan123 Internet 10.123.111.5 106 d867.d9b7.1555 ARPA Vlan123 Internet 10.123.233.1 - 0008.e3ff.2111 ARPA Vlan123 Internet 10.123.233.3 166 d867.d9b7.2333 ARPA Vlan123 Internet 10.123.233.4 31 0008.e3ff.2444 ARPA Vlan123 Internet 10.123.233.6 31 0008.e3ff.2666 ARPA Vlan123 Internet 10.1.234.1 - d867.d9b7.1111 ARPA TenGigabitEthernet1/1/7 Internet 10.1.234.2 31 0008.e3ff.1234 ARPA TenGigabitEthernet1/1/7 Internet 10.1.234.3 31 0008.e3ff.4321 ARPA TenGigabitEthernet1/1/7 Internet 10.1.234.99 - 00ac.0007.001a ARPA TenGigabitEthernet1/1/7 """, """ switch_2# show run interfaces interface TenGigabitEthernet1/1/71 description to SWITCH_2 shared subnet ip address 10.1.234.2 255.255.255.0 standby 1 10.1.234.99 ! interface GigabitEthernet1/3 description to SWITCH_1 link 1 vrf forwarding VRF1 ip address 10.123.2.2 255.255.255.254 ! interface GigabitEthernet1/4 description to SWITCH_1 links 2 vrf forwarding VRF1 ip address 10.123.2.5 255.255.255.254 ! interface Vlan11 description Workstations Vlan vrf forwarding Staff Workstations ip address 10.11.11.1 255.255.255.0 ! interface Vlan22 description Workstations Vlan vrf forwarding Staff Phones ip address 10.22.22.1 255.255.255.0 switch_2# show ip arp Internet 10.22.22.1 - d094.7890.1111 ARPA Vlan22 Internet 10.22.22.3 0 0008.7890.1333 ARPA Vlan22 Internet 10.22.22.4 106 d867.7890.1444 ARPA Vlan22 Internet 10.1.234.1 5 d867.d9b7.1111 ARPA TenGigabitEthernet1/1/71 Internet 10.1.234.2 - 0008.e3ff.1234 ARPA TenGigabitEthernet1/1/71 Internet 10.1.234.3 78 0008.e3ff.4321 ARPA TenGigabitEthernet1/1/71 Internet 10.1.234.99 5 00ac.0007.001a ARPA TenGigabitEthernet1/1/71 """] } config = { "add_arp": True, "add_fhrp": True, # "collapse_ptp": True } drawing = create_yed_diagram() drawer = ip_drawer(drawing, config) drawer.work(data) drawer.drawing.dump_file(filename="test_ip_drawing_yed_data_dict_add_arp_and_fhrp.graphml", folder="./Output/") with open ("./Output/test_ip_drawing_yed_data_dict_add_arp_and_fhrp.graphml") as produced: with open("./Output/should_be_test_ip_drawing_yed_data_dict_add_arp_and_fhrp.graphml") as should_be: assert produced.read() == should_be.read() # test_ip_drawing_yed_data_dict_add_arp_and_fhrp() def test_ip_drawing_yed_data_dict_nxos(): data = {"Cisco_NXOS": [""" switch_1# show run | sec interface interface Vlan133 description OOB vrf member MGMT_OOB ip address 10.133.137.2/24 hsrp 133 preempt ip 10.133.137.1 ! interface Vlan134 description OOB-2 vrf member MGMT_OOB ip address 10.134.137.2/24 vrrpv3 1334 address-family ipv4 address 10.134.137.1 primary ! interface Vlan222 description PTP OSPF Routing pat to siwtch2 ip address 10.222.137.1/30 ! interface Vlan223 description PTP OSPF Routing pat to siwtch3 ip address 10.223.137.1/30 switch_1# show ip arp vrf all 10.133.137.2 - d094.7890.1111 Vlan133 10.133.137.1 - d094.7890.1111 Vlan133 10.133.137.30 - d094.7890.1234 Vlan133 10.133.137.91 - d094.7890.4321 Vlan133 10.134.137.1 - d094.7890.1111 Vlan134 10.134.137.2 - d094.7890.1111 Vlan134 10.134.137.3 90 d094.7890.2222 Vlan134 10.134.137.31 91 d094.7890.beef Vlan134 10.134.137.81 81 d094.7890.feeb Vlan134 10.222.137.2 21 d094.7890.2222 Vlan222 """, """ switch_2# show run | sec interface interface Vlan134 description OOB-2 vrf member MGMT_OOB ip address 10.134.137.3/24 vrrpv3 1334 address-family ipv4 address 10.134.137.1 primary ! interface Vlan222 description PTP OSPF Routing pat to siwtch1 ip address 10.222.137.2/30 """, """ switch_3# show run | sec interface interface Vlan223 description PTP OSPF Routing pat to siwtch1 ip address 10.223.137.2/30 """] } config = { "add_arp": True, "add_fhrp": True } drawing = create_yed_diagram() drawer = ip_drawer(drawing, config) drawer.work(data) drawer.drawing.dump_file(filename="test_ip_drawing_yed_data_dict_nxos.graphml", folder="./Output/") with open ("./Output/test_ip_drawing_yed_data_dict_nxos.graphml") as produced: with open("./Output/should_be_test_ip_drawing_yed_data_dict_nxos.graphml") as should_be: assert produced.read() == should_be.read() def test_ip_drawing_yed_data_dict_huawei(): data = {"Huawei": [""" <hua_sw1>dis current-configuration interface # interface Vlanif140 ip binding vpn-instance VRF_MGMT ip address 10.1.1.2 255.255.255.0 vrrp vrid 200 virtual-ip 10.1.1.1 # interface Eth-Trunk5.123 vlan-type dot1q 123 description hua_sw2 BGP peering ip binding vpn-instance VRF_MGMT ip address 10.0.0.1 255.255.255.252 ipv6 address FD00:1::1/126 # interface Eth-Trunk5.200 vlan-type dot1q 200 description hua_sw3 OSPF peering ip address 192.168.2.2 255.255.255.252 <hua_sw1>dis arp all 10.1.1.2 a008-6fc1-1101 I Vlanif140 VRF_MGMT 10.1.1.1 a008-6fc1-1102 0 D Vlanif140 VRF_MGMT 10.1.1.3 a008-6fc1-1103 10 D/200 Vlanif140 VRF_MGMT 10.1.1.9 a008-6fc1-1104 10 D/200 Vlanif140 VRF_MGMT 10.0.0.2 a008-6fc1-1105 10 D/200 Eth-Trunk5.123 VRF_MGMT """, """ <hua_sw2>dis current-configuration interface # interface Vlanif140 ip binding vpn-instance VRF_MGMT ip address 10.1.1.3 255.255.255.0 vrrp vrid 200 virtual-ip 10.1.1.1 # interface Eth-Trunk5.123 vlan-type dot1q 123 description hua_sw1 BGP peering ip binding vpn-instance VRF_MGMT ip address 10.0.0.2 255.255.255.252 ipv6 address FD00:1::2/126 """, """ <hua_sw3>dis current-configuration interface # interface Vlanif200 ip binding vpn-instance VRF_CUST1 ip address 192.168.1.1 255.255.255.0 # interface Eth-Trunk5.200 vlan-type dot1q 200 description hua_sw1 OSPF peering ip address 192.168.2.1 255.255.255.252 <hua_sw3>dis arp 192.168.1.1 a008-6fc1-1111 I Vlanif200 192.168.1.10 a008-6fc1-1110 30 D/300 Vlanif200 """] } config = { "add_arp": True, "add_fhrp": True } drawing = create_yed_diagram() drawer = ip_drawer(drawing, config) drawer.work(data) drawer.drawing.dump_file(filename="test_ip_drawing_yed_data_dict_huawei.graphml", folder="./Output/") with open ("./Output/test_ip_drawing_yed_data_dict_huawei.graphml") as produced: with open("./Output/should_be_test_ip_drawing_yed_data_dict_huawei.graphml") as should_be: assert produced.read() == should_be.read() # test_ip_drawing_yed_data_dict_huawei() def test_ip_drawing_yed_data_dict_fortigate(): data = {"Fortigate": [""" forti-fw-01 (Corporate) # get system config config system interface edit "vms_vlan" set vdom "root" set ip 1.1.1.1 255.255.255.0 set allowaccess ping https ssh snmp set description "VMs data vlan" set alias "vms_vlan" config secondaryip edit 1 set ip 10.38.1.152 255.255.255.0 set allowaccess ping next end next edit "NMS_mgmt" set vdom "root" set ip 10.0.0.1 255.255.255.0 set allowaccess ping https ssh snmp set description "NMS management access" set alias "NMS_mgmt" next edit "uplink_1" set vdom "root" set ip 10.1.0.1 255.255.255.252 set description "bgp to upstream FW" next forti-fw-01 (Corporate) # get system arp Address Age(min) Hardware Addr Interface 1.1.1.10 0 22:31:5e:00:34:d1 vms_vlan 10.0.0.10 0 22:31:5e:00:34:c2 NMS_mgmt 10.0.0.31 0 22:31:5e:00:34:31 NMS_mgmt """, """ forti-fw-02 (Corporate) # get system config config system interface edit "fw_1" set vdom "root" set ip 10.1.0.2 255.255.255.252 set description "bgp to forti-fw-01" next """] } config = { "add_arp": True } drawing = create_yed_diagram() drawer = ip_drawer(drawing, config) drawer.work(data) drawer.drawing.dump_file(filename="test_ip_drawing_yed_data_dict_fortigate.graphml", folder="./Output/") with open ("./Output/test_ip_drawing_yed_data_dict_fortigate.graphml") as produced: with open("./Output/should_be_test_ip_drawing_yed_data_dict_fortigate.graphml") as should_be: assert produced.read() == should_be.read() # test_ip_drawing_yed_data_dict_fortigate()

31.909091

127

0.717907

3,859

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4.298264

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0.92259

0.913848

0.887743

0.862543

0.856273

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0.188648

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23,868

748

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0

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0

0.002174

0.735452

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0

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d9c411f03c3fdc9efb1372388495a05d2a80ddde

141,293

py

Python

opcua/server/standard_address_space/standard_address_space_part3.py

aixiwang/opcua2cloud

32e1e745e4939f8d4fd51892d9a51230ffdfc198

[ "Apache-2.0" ]

null

opcua/server/standard_address_space/standard_address_space_part3.py

aixiwang/opcua2cloud

32e1e745e4939f8d4fd51892d9a51230ffdfc198

[ "Apache-2.0" ]

null

opcua/server/standard_address_space/standard_address_space_part3.py

aixiwang/opcua2cloud

32e1e745e4939f8d4fd51892d9a51230ffdfc198

[ "Apache-2.0" ]

2

2019-01-14T10:13:57.000Z

2020-02-11T15:22:14.000Z

# -*- coding: utf-8 -*- """ DO NOT EDIT THIS FILE! It is automatically generated from opcfoundation.org schemas. """ from opcua import ua from opcua.ua import NodeId, QualifiedName, NumericNodeId, StringNodeId, GuidNodeId from opcua.ua import NodeClass, LocalizedText def create_standard_address_space_Part3(server): node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(3062, 0) node.BrowseName = QualifiedName('Default Binary', 0) node.NodeClass = NodeClass.Object node.TypeDefinition = NumericNodeId(58, 0) attrs = ua.ObjectAttributes() attrs.Description = LocalizedText("The default binary encoding for a data type.") attrs.DisplayName = LocalizedText("Default Binary") attrs.EventNotifier = 0 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(3062, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(58, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(3063, 0) node.BrowseName = QualifiedName('Default XML', 0) node.NodeClass = NodeClass.Object node.TypeDefinition = NumericNodeId(58, 0) attrs = ua.ObjectAttributes() attrs.Description = LocalizedText("The default XML encoding for a data type.") attrs.DisplayName = LocalizedText("Default XML") attrs.EventNotifier = 0 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(3063, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(58, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(24, 0) node.BrowseName = QualifiedName('BaseDataType', 0) node.NodeClass = NodeClass.DataType attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("Describes a value that can have any valid DataType.") attrs.DisplayName = LocalizedText("BaseDataType") attrs.IsAbstract = True node.NodeAttributes = attrs server.add_nodes([node]) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(26, 0) node.BrowseName = QualifiedName('Number', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(24, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("Describes a value that can have any numeric DataType.") attrs.DisplayName = LocalizedText("Number") attrs.IsAbstract = True node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(26, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(24, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(27, 0) node.BrowseName = QualifiedName('Integer', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(26, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("Describes a value that can have any integer DataType.") attrs.DisplayName = LocalizedText("Integer") attrs.IsAbstract = True node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(27, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(26, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(28, 0) node.BrowseName = QualifiedName('UInteger', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(26, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("Describes a value that can have any unsigned integer DataType.") attrs.DisplayName = LocalizedText("UInteger") attrs.IsAbstract = True node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(28, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(26, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(29, 0) node.BrowseName = QualifiedName('Enumeration', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(24, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("Describes a value that is an enumerated DataType.") attrs.DisplayName = LocalizedText("Enumeration") attrs.IsAbstract = True node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(29, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(24, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(1, 0) node.BrowseName = QualifiedName('Boolean', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(24, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("Describes a value that is either TRUE or FALSE.") attrs.DisplayName = LocalizedText("Boolean") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(1, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(24, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(2, 0) node.BrowseName = QualifiedName('SByte', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(27, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("Describes a value that is an integer between -128 and 127.") attrs.DisplayName = LocalizedText("SByte") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(2, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(27, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(3, 0) node.BrowseName = QualifiedName('Byte', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(28, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("Describes a value that is an integer between 0 and 255.") attrs.DisplayName = LocalizedText("Byte") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(3, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(28, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(4, 0) node.BrowseName = QualifiedName('Int16', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(27, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("Describes a value that is an integer between −32,768 and 32,767.") attrs.DisplayName = LocalizedText("Int16") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(4, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(27, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(5, 0) node.BrowseName = QualifiedName('UInt16', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(28, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("Describes a value that is an integer between 0 and 65535.") attrs.DisplayName = LocalizedText("UInt16") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(5, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(28, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(6, 0) node.BrowseName = QualifiedName('Int32', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(27, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("Describes a value that is an integer between −2,147,483,648 and 2,147,483,647.") attrs.DisplayName = LocalizedText("Int32") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(6, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(27, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(7, 0) node.BrowseName = QualifiedName('UInt32', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(28, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("Describes a value that is an integer between 0 and 4,294,967,295.") attrs.DisplayName = LocalizedText("UInt32") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(7, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(28, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(8, 0) node.BrowseName = QualifiedName('Int64', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(27, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("Describes a value that is an integer between −9,223,372,036,854,775,808 and 9,223,372,036,854,775,807.") attrs.DisplayName = LocalizedText("Int64") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(8, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(27, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(9, 0) node.BrowseName = QualifiedName('UInt64', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(28, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("Describes a value that is an integer between 0 and 18,446,744,073,709,551,615.") attrs.DisplayName = LocalizedText("UInt64") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(9, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(28, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(10, 0) node.BrowseName = QualifiedName('Float', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(26, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("Describes a value that is an IEEE 754-1985 single precision floating point number.") attrs.DisplayName = LocalizedText("Float") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(10, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(26, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(11, 0) node.BrowseName = QualifiedName('Double', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(26, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("Describes a value that is an IEEE 754-1985 double precision floating point number.") attrs.DisplayName = LocalizedText("Double") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(11, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(26, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(12, 0) node.BrowseName = QualifiedName('String', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(24, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("Describes a value that is a sequence of printable Unicode characters.") attrs.DisplayName = LocalizedText("String") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(12, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(24, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(13, 0) node.BrowseName = QualifiedName('DateTime', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(24, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("Describes a value that is a Gregorian calender date and time.") attrs.DisplayName = LocalizedText("DateTime") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(13, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(24, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(14, 0) node.BrowseName = QualifiedName('Guid', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(24, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("Describes a value that is a 128-bit globally unique identifier.") attrs.DisplayName = LocalizedText("Guid") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(14, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(24, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(15, 0) node.BrowseName = QualifiedName('ByteString', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(24, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("Describes a value that is a sequence of bytes.") attrs.DisplayName = LocalizedText("ByteString") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(15, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(24, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(16, 0) node.BrowseName = QualifiedName('XmlElement', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(24, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("Describes a value that is an XML element.") attrs.DisplayName = LocalizedText("XmlElement") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(16, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(24, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(17, 0) node.BrowseName = QualifiedName('NodeId', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(24, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("Describes a value that is an identifier for a node within a Server address space.") attrs.DisplayName = LocalizedText("NodeId") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(17, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(24, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(20, 0) node.BrowseName = QualifiedName('QualifiedName', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(24, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("Describes a value that is a name qualified by a namespace.") attrs.DisplayName = LocalizedText("QualifiedName") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(20, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(24, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(21, 0) node.BrowseName = QualifiedName('LocalizedText', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(24, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("Describes a value that is human readable Unicode text with a locale identifier.") attrs.DisplayName = LocalizedText("LocalizedText") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(21, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(24, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(22, 0) node.BrowseName = QualifiedName('Structure', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(24, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("Describes a value that is any type of structure that can be described with a data encoding.") attrs.DisplayName = LocalizedText("Structure") attrs.IsAbstract = True node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(22, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(24, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(30, 0) node.BrowseName = QualifiedName('Image', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(15, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("Describes a value that is an image encoded as a string of bytes.") attrs.DisplayName = LocalizedText("Image") attrs.IsAbstract = True node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(30, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(15, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(50, 0) node.BrowseName = QualifiedName('Decimal', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(26, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("Describes an arbitrary precision decimal value.") attrs.DisplayName = LocalizedText("Decimal") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(50, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(26, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(31, 0) node.BrowseName = QualifiedName('References', 0) node.NodeClass = NodeClass.ReferenceType attrs = ua.ReferenceTypeAttributes() attrs.Description = LocalizedText("The abstract base type for all references.") attrs.DisplayName = LocalizedText("References") attrs.IsAbstract = True attrs.Symmetric = True node.NodeAttributes = attrs server.add_nodes([node]) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(32, 0) node.BrowseName = QualifiedName('NonHierarchicalReferences', 0) node.NodeClass = NodeClass.ReferenceType node.ParentNodeId = NumericNodeId(31, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.ReferenceTypeAttributes() attrs.Description = LocalizedText("The abstract base type for all non-hierarchical references.") attrs.DisplayName = LocalizedText("NonHierarchicalReferences") attrs.InverseName = LocalizedText("NonHierarchicalReferences") attrs.IsAbstract = True node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(32, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(31, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(33, 0) node.BrowseName = QualifiedName('HierarchicalReferences', 0) node.NodeClass = NodeClass.ReferenceType node.ParentNodeId = NumericNodeId(31, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.ReferenceTypeAttributes() attrs.Description = LocalizedText("The abstract base type for all hierarchical references.") attrs.DisplayName = LocalizedText("HierarchicalReferences") attrs.InverseName = LocalizedText("HierarchicalReferences") attrs.IsAbstract = True node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(33, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(31, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(34, 0) node.BrowseName = QualifiedName('HasChild', 0) node.NodeClass = NodeClass.ReferenceType node.ParentNodeId = NumericNodeId(33, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.ReferenceTypeAttributes() attrs.Description = LocalizedText("The abstract base type for all non-looping hierarchical references.") attrs.DisplayName = LocalizedText("HasChild") attrs.InverseName = LocalizedText("ChildOf") attrs.IsAbstract = True node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(34, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(33, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(35, 0) node.BrowseName = QualifiedName('Organizes', 0) node.NodeClass = NodeClass.ReferenceType node.ParentNodeId = NumericNodeId(33, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.ReferenceTypeAttributes() attrs.Description = LocalizedText("The type for hierarchical references that are used to organize nodes.") attrs.DisplayName = LocalizedText("Organizes") attrs.InverseName = LocalizedText("OrganizedBy") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(35, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(33, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(36, 0) node.BrowseName = QualifiedName('HasEventSource', 0) node.NodeClass = NodeClass.ReferenceType node.ParentNodeId = NumericNodeId(33, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.ReferenceTypeAttributes() attrs.Description = LocalizedText("The type for non-looping hierarchical references that are used to organize event sources.") attrs.DisplayName = LocalizedText("HasEventSource") attrs.InverseName = LocalizedText("EventSourceOf") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(36, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(33, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(37, 0) node.BrowseName = QualifiedName('HasModellingRule', 0) node.NodeClass = NodeClass.ReferenceType node.ParentNodeId = NumericNodeId(32, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.ReferenceTypeAttributes() attrs.Description = LocalizedText("The type for references from instance declarations to modelling rule nodes.") attrs.DisplayName = LocalizedText("HasModellingRule") attrs.InverseName = LocalizedText("ModellingRuleOf") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(37, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(32, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(38, 0) node.BrowseName = QualifiedName('HasEncoding', 0) node.NodeClass = NodeClass.ReferenceType node.ParentNodeId = NumericNodeId(32, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.ReferenceTypeAttributes() attrs.Description = LocalizedText("The type for references from data type nodes to to data type encoding nodes.") attrs.DisplayName = LocalizedText("HasEncoding") attrs.InverseName = LocalizedText("EncodingOf") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(38, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(32, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(39, 0) node.BrowseName = QualifiedName('HasDescription', 0) node.NodeClass = NodeClass.ReferenceType node.ParentNodeId = NumericNodeId(32, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.ReferenceTypeAttributes() attrs.Description = LocalizedText("The type for references from data type encoding nodes to data type description nodes.") attrs.DisplayName = LocalizedText("HasDescription") attrs.InverseName = LocalizedText("DescriptionOf") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(39, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(32, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(40, 0) node.BrowseName = QualifiedName('HasTypeDefinition', 0) node.NodeClass = NodeClass.ReferenceType node.ParentNodeId = NumericNodeId(32, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.ReferenceTypeAttributes() attrs.Description = LocalizedText("The type for references from a instance node its type defintion node.") attrs.DisplayName = LocalizedText("HasTypeDefinition") attrs.InverseName = LocalizedText("TypeDefinitionOf") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(40, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(32, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(41, 0) node.BrowseName = QualifiedName('GeneratesEvent', 0) node.NodeClass = NodeClass.ReferenceType node.ParentNodeId = NumericNodeId(32, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.ReferenceTypeAttributes() attrs.Description = LocalizedText("The type for references from a node to an event type that is raised by node.") attrs.DisplayName = LocalizedText("GeneratesEvent") attrs.InverseName = LocalizedText("GeneratedBy") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(41, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(32, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(3065, 0) node.BrowseName = QualifiedName('AlwaysGeneratesEvent', 0) node.NodeClass = NodeClass.ReferenceType node.ParentNodeId = NumericNodeId(41, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.ReferenceTypeAttributes() attrs.Description = LocalizedText("The type for references from a node to an event type that is always raised by node.") attrs.DisplayName = LocalizedText("AlwaysGeneratesEvent") attrs.InverseName = LocalizedText("AlwaysGeneratedBy") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(3065, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(41, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(44, 0) node.BrowseName = QualifiedName('Aggregates', 0) node.NodeClass = NodeClass.ReferenceType node.ParentNodeId = NumericNodeId(34, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.ReferenceTypeAttributes() attrs.Description = LocalizedText("The type for non-looping hierarchical references that are used to aggregate nodes into complex types.") attrs.DisplayName = LocalizedText("Aggregates") attrs.InverseName = LocalizedText("AggregatedBy") attrs.IsAbstract = True node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(44, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(34, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(45, 0) node.BrowseName = QualifiedName('HasSubtype', 0) node.NodeClass = NodeClass.ReferenceType node.ParentNodeId = NumericNodeId(34, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.ReferenceTypeAttributes() attrs.Description = LocalizedText("The type for non-looping hierarchical references that are used to define sub types.") attrs.DisplayName = LocalizedText("HasSubtype") attrs.InverseName = LocalizedText("SubtypeOf") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(45, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(34, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(46, 0) node.BrowseName = QualifiedName('HasProperty', 0) node.NodeClass = NodeClass.ReferenceType node.ParentNodeId = NumericNodeId(44, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.ReferenceTypeAttributes() attrs.Description = LocalizedText("The type for non-looping hierarchical reference from a node to its property.") attrs.DisplayName = LocalizedText("HasProperty") attrs.InverseName = LocalizedText("PropertyOf") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(46, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(44, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(47, 0) node.BrowseName = QualifiedName('HasComponent', 0) node.NodeClass = NodeClass.ReferenceType node.ParentNodeId = NumericNodeId(44, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.ReferenceTypeAttributes() attrs.Description = LocalizedText("The type for non-looping hierarchical reference from a node to its component.") attrs.DisplayName = LocalizedText("HasComponent") attrs.InverseName = LocalizedText("ComponentOf") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(47, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(44, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(48, 0) node.BrowseName = QualifiedName('HasNotifier', 0) node.NodeClass = NodeClass.ReferenceType node.ParentNodeId = NumericNodeId(36, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.ReferenceTypeAttributes() attrs.Description = LocalizedText("The type for non-looping hierarchical references that are used to indicate how events propagate from node to node.") attrs.DisplayName = LocalizedText("HasNotifier") attrs.InverseName = LocalizedText("NotifierOf") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(48, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(36, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(49, 0) node.BrowseName = QualifiedName('HasOrderedComponent', 0) node.NodeClass = NodeClass.ReferenceType node.ParentNodeId = NumericNodeId(47, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.ReferenceTypeAttributes() attrs.Description = LocalizedText("The type for non-looping hierarchical reference from a node to its component when the order of references matters.") attrs.DisplayName = LocalizedText("HasOrderedComponent") attrs.InverseName = LocalizedText("OrderedComponentOf") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(49, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(47, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(120, 0) node.BrowseName = QualifiedName('NamingRuleType', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(29, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("Describes a value that specifies the significance of the BrowseName for an instance declaration.") attrs.DisplayName = LocalizedText("NamingRuleType") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(46, 0) ref.SourceNodeId = NumericNodeId(120, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(12169, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(120, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(29, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(12169, 0) node.BrowseName = QualifiedName('EnumValues', 0) node.NodeClass = NodeClass.Variable node.ParentNodeId = NumericNodeId(120, 0) node.ReferenceTypeId = NumericNodeId(46, 0) node.TypeDefinition = NumericNodeId(68, 0) attrs = ua.VariableAttributes() attrs.DisplayName = LocalizedText("EnumValues") attrs.DataType = NumericNodeId(7594, 0) value = [] extobj = ua.EnumValueType() extobj.Value = 1 extobj.DisplayName.Text = 'Mandatory' extobj.Description.Text = 'The BrowseName must appear in all instances of the type.' value.append(extobj) extobj = ua.EnumValueType() extobj.Value = 2 extobj.DisplayName.Text = 'Optional' extobj.Description.Text = 'The BrowseName may appear in an instance of the type.' value.append(extobj) extobj = ua.EnumValueType() extobj.Value = 3 extobj.DisplayName.Text = 'Constraint' extobj.Description.Text = 'The modelling rule defines a constraint and the BrowseName is not used in an instance of the type.' value.append(extobj) attrs.Value = ua.Variant(value, ua.VariantType.ExtensionObject) attrs.ValueRank = 1 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(12169, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(68, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(37, 0) ref.SourceNodeId = NumericNodeId(12169, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(78, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(46, 0) ref.SourceNodeId = NumericNodeId(12169, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(120, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(3068, 0) node.BrowseName = QualifiedName('NodeVersion', 0) node.NodeClass = NodeClass.Variable node.TypeDefinition = NumericNodeId(68, 0) attrs = ua.VariableAttributes() attrs.Description = LocalizedText("The version number of the node (used to indicate changes to references of the owning node).") attrs.DisplayName = LocalizedText("NodeVersion") attrs.DataType = ua.NodeId(ua.ObjectIds.String) attrs.ValueRank = -2 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(3068, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(68, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(12170, 0) node.BrowseName = QualifiedName('ViewVersion', 0) node.NodeClass = NodeClass.Variable node.TypeDefinition = NumericNodeId(68, 0) attrs = ua.VariableAttributes() attrs.Description = LocalizedText("The version number of the view.") attrs.DisplayName = LocalizedText("ViewVersion") attrs.DataType = ua.NodeId(ua.ObjectIds.UInt32) attrs.ValueRank = -2 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(12170, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(68, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(3067, 0) node.BrowseName = QualifiedName('Icon', 0) node.NodeClass = NodeClass.Variable node.TypeDefinition = NumericNodeId(68, 0) attrs = ua.VariableAttributes() attrs.Description = LocalizedText("A small image representing the object.") attrs.DisplayName = LocalizedText("Icon") attrs.DataType = NumericNodeId(30, 0) attrs.ValueRank = -2 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(3067, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(68, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(3069, 0) node.BrowseName = QualifiedName('LocalTime', 0) node.NodeClass = NodeClass.Variable node.TypeDefinition = NumericNodeId(68, 0) attrs = ua.VariableAttributes() attrs.Description = LocalizedText("The local time where the owning variable value was collected.") attrs.DisplayName = LocalizedText("LocalTime") attrs.DataType = NumericNodeId(8912, 0) attrs.ValueRank = -2 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(3069, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(68, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(3070, 0) node.BrowseName = QualifiedName('AllowNulls', 0) node.NodeClass = NodeClass.Variable node.TypeDefinition = NumericNodeId(68, 0) attrs = ua.VariableAttributes() attrs.Description = LocalizedText("Whether the value of the owning variable is allowed to be null.") attrs.DisplayName = LocalizedText("AllowNulls") attrs.DataType = ua.NodeId(ua.ObjectIds.Boolean) attrs.ValueRank = -2 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(3070, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(68, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(11433, 0) node.BrowseName = QualifiedName('ValueAsText', 0) node.NodeClass = NodeClass.Variable node.TypeDefinition = NumericNodeId(68, 0) attrs = ua.VariableAttributes() attrs.Description = LocalizedText("The string representation of the current value for a variable with an enumerated data type.") attrs.DisplayName = LocalizedText("ValueAsText") attrs.DataType = ua.NodeId(ua.ObjectIds.LocalizedText) attrs.ValueRank = -2 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(11433, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(68, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(11498, 0) node.BrowseName = QualifiedName('MaxStringLength', 0) node.NodeClass = NodeClass.Variable node.TypeDefinition = NumericNodeId(68, 0) attrs = ua.VariableAttributes() attrs.Description = LocalizedText("The maximum number of bytes supported by the DataVariable.") attrs.DisplayName = LocalizedText("MaxStringLength") attrs.DataType = ua.NodeId(ua.ObjectIds.UInt32) attrs.ValueRank = -2 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(11498, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(68, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(15002, 0) node.BrowseName = QualifiedName('MaxCharacters', 0) node.NodeClass = NodeClass.Variable node.TypeDefinition = NumericNodeId(68, 0) attrs = ua.VariableAttributes() attrs.Description = LocalizedText("The maximum number of Unicode characters supported by the DataVariable.") attrs.DisplayName = LocalizedText("MaxCharacters") attrs.DataType = ua.NodeId(ua.ObjectIds.UInt32) attrs.ValueRank = -2 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(15002, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(68, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(12908, 0) node.BrowseName = QualifiedName('MaxByteStringLength', 0) node.NodeClass = NodeClass.Variable node.TypeDefinition = NumericNodeId(68, 0) attrs = ua.VariableAttributes() attrs.Description = LocalizedText("The maximum length for a byte string that can be stored in the owning variable.") attrs.DisplayName = LocalizedText("MaxByteStringLength") attrs.DataType = ua.NodeId(ua.ObjectIds.UInt32) attrs.ValueRank = -2 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(12908, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(68, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(11512, 0) node.BrowseName = QualifiedName('MaxArrayLength', 0) node.NodeClass = NodeClass.Variable node.TypeDefinition = NumericNodeId(68, 0) attrs = ua.VariableAttributes() attrs.Description = LocalizedText("The maximum length for an array that can be stored in the owning variable.") attrs.DisplayName = LocalizedText("MaxArrayLength") attrs.DataType = ua.NodeId(ua.ObjectIds.UInt32) attrs.ValueRank = -2 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(11512, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(68, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(11513, 0) node.BrowseName = QualifiedName('EngineeringUnits', 0) node.NodeClass = NodeClass.Variable node.TypeDefinition = NumericNodeId(68, 0) attrs = ua.VariableAttributes() attrs.Description = LocalizedText("The engineering units for the value of the owning variable.") attrs.DisplayName = LocalizedText("EngineeringUnits") attrs.DataType = NumericNodeId(887, 0) attrs.ValueRank = -2 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(11513, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(68, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(11432, 0) node.BrowseName = QualifiedName('EnumStrings', 0) node.NodeClass = NodeClass.Variable node.TypeDefinition = NumericNodeId(68, 0) attrs = ua.VariableAttributes() attrs.Description = LocalizedText("The human readable strings associated with the values of an enumerated value (when values are sequential).") attrs.DisplayName = LocalizedText("EnumStrings") attrs.DataType = ua.NodeId(ua.ObjectIds.LocalizedText) attrs.ValueRank = 1 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(11432, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(68, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(3071, 0) node.BrowseName = QualifiedName('EnumValues', 0) node.NodeClass = NodeClass.Variable node.TypeDefinition = NumericNodeId(68, 0) attrs = ua.VariableAttributes() attrs.Description = LocalizedText("The human readable strings associated with the values of an enumerated value (when values have no sequence).") attrs.DisplayName = LocalizedText("EnumValues") attrs.DataType = NumericNodeId(7594, 0) attrs.ValueRank = 1 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(3071, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(68, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(12745, 0) node.BrowseName = QualifiedName('OptionSetValues', 0) node.NodeClass = NodeClass.Variable node.TypeDefinition = NumericNodeId(68, 0) attrs = ua.VariableAttributes() attrs.Description = LocalizedText("Contains the human-readable representation for each bit of the bit mask.") attrs.DisplayName = LocalizedText("OptionSetValues") attrs.DataType = ua.NodeId(ua.ObjectIds.LocalizedText) attrs.ValueRank = 1 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(12745, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(68, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(3072, 0) node.BrowseName = QualifiedName('InputArguments', 0) node.NodeClass = NodeClass.Variable node.TypeDefinition = NumericNodeId(68, 0) attrs = ua.VariableAttributes() attrs.Description = LocalizedText("The input arguments for a method.") attrs.DisplayName = LocalizedText("InputArguments") attrs.DataType = NumericNodeId(296, 0) attrs.ValueRank = 1 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(3072, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(68, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(3073, 0) node.BrowseName = QualifiedName('OutputArguments', 0) node.NodeClass = NodeClass.Variable node.TypeDefinition = NumericNodeId(68, 0) attrs = ua.VariableAttributes() attrs.Description = LocalizedText("The output arguments for a method.") attrs.DisplayName = LocalizedText("OutputArguments") attrs.DataType = NumericNodeId(296, 0) attrs.ValueRank = 1 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(3073, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(68, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(16306, 0) node.BrowseName = QualifiedName('DefaultInputValues', 0) node.NodeClass = NodeClass.Variable node.TypeDefinition = NumericNodeId(68, 0) attrs = ua.VariableAttributes() attrs.Description = LocalizedText("Specifies the default values for optional input arguments.") attrs.DisplayName = LocalizedText("DefaultInputValues") attrs.DataType = ua.NodeId(ua.ObjectIds.String) attrs.ValueRank = 1 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(16306, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(68, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(2000, 0) node.BrowseName = QualifiedName('ImageBMP', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(30, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("An image encoded in BMP format.") attrs.DisplayName = LocalizedText("ImageBMP") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(2000, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(30, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(2001, 0) node.BrowseName = QualifiedName('ImageGIF', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(30, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("An image encoded in GIF format.") attrs.DisplayName = LocalizedText("ImageGIF") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(2001, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(30, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(2002, 0) node.BrowseName = QualifiedName('ImageJPG', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(30, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("An image encoded in JPEG format.") attrs.DisplayName = LocalizedText("ImageJPG") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(2002, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(30, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(2003, 0) node.BrowseName = QualifiedName('ImagePNG', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(30, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("An image encoded in PNG format.") attrs.DisplayName = LocalizedText("ImagePNG") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(2003, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(30, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(16307, 0) node.BrowseName = QualifiedName('AudioDataType', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(15, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("An image encoded in PNG format.") attrs.DisplayName = LocalizedText("AudioDataType") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(16307, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(15, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(256, 0) node.BrowseName = QualifiedName('IdType', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(29, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("The type of identifier used in a node id.") attrs.DisplayName = LocalizedText("IdType") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(46, 0) ref.SourceNodeId = NumericNodeId(256, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(7591, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(256, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(29, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(7591, 0) node.BrowseName = QualifiedName('EnumStrings', 0) node.NodeClass = NodeClass.Variable node.ParentNodeId = NumericNodeId(256, 0) node.ReferenceTypeId = NumericNodeId(46, 0) node.TypeDefinition = NumericNodeId(68, 0) attrs = ua.VariableAttributes() attrs.DisplayName = LocalizedText("EnumStrings") attrs.DataType = ua.NodeId(ua.ObjectIds.LocalizedText) attrs.Value = [LocalizedText('Numeric'),LocalizedText('String'),LocalizedText('Guid'),LocalizedText('Opaque')] attrs.ValueRank = 1 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(7591, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(68, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(37, 0) ref.SourceNodeId = NumericNodeId(7591, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(78, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(46, 0) ref.SourceNodeId = NumericNodeId(7591, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(256, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(257, 0) node.BrowseName = QualifiedName('NodeClass', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(29, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("A mask specifying the class of the node.") attrs.DisplayName = LocalizedText("NodeClass") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(46, 0) ref.SourceNodeId = NumericNodeId(257, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(11878, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(257, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(29, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(11878, 0) node.BrowseName = QualifiedName('EnumValues', 0) node.NodeClass = NodeClass.Variable node.ParentNodeId = NumericNodeId(257, 0) node.ReferenceTypeId = NumericNodeId(46, 0) node.TypeDefinition = NumericNodeId(68, 0) attrs = ua.VariableAttributes() attrs.DisplayName = LocalizedText("EnumValues") attrs.DataType = NumericNodeId(7594, 0) value = [] extobj = ua.EnumValueType() extobj.Value = 0 extobj.DisplayName.Text = 'Unspecified' extobj.Description.Text = 'No classes are selected.' value.append(extobj) extobj = ua.EnumValueType() extobj.Value = 1 extobj.DisplayName.Text = 'Object' extobj.Description.Text = 'The node is an object.' value.append(extobj) extobj = ua.EnumValueType() extobj.Value = 2 extobj.DisplayName.Text = 'Variable' extobj.Description.Text = 'The node is a variable.' value.append(extobj) extobj = ua.EnumValueType() extobj.Value = 4 extobj.DisplayName.Text = 'Method' extobj.Description.Text = 'The node is a method.' value.append(extobj) extobj = ua.EnumValueType() extobj.Value = 8 extobj.DisplayName.Text = 'ObjectType' extobj.Description.Text = 'The node is an object type.' value.append(extobj) extobj = ua.EnumValueType() extobj.Value = 16 extobj.DisplayName.Text = 'VariableType' extobj.Description.Text = 'The node is an variable type.' value.append(extobj) extobj = ua.EnumValueType() extobj.Value = 32 extobj.DisplayName.Text = 'ReferenceType' extobj.Description.Text = 'The node is a reference type.' value.append(extobj) extobj = ua.EnumValueType() extobj.Value = 64 extobj.DisplayName.Text = 'DataType' extobj.Description.Text = 'The node is a data type.' value.append(extobj) extobj = ua.EnumValueType() extobj.Value = 128 extobj.DisplayName.Text = 'View' extobj.Description.Text = 'The node is a view.' value.append(extobj) attrs.Value = ua.Variant(value, ua.VariantType.ExtensionObject) attrs.ValueRank = 1 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(11878, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(68, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(37, 0) ref.SourceNodeId = NumericNodeId(11878, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(78, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(46, 0) ref.SourceNodeId = NumericNodeId(11878, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(257, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(94, 0) node.BrowseName = QualifiedName('PermissionType', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(5, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.DisplayName = LocalizedText("PermissionType") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(46, 0) ref.SourceNodeId = NumericNodeId(94, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(15030, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(94, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(5, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(15030, 0) node.BrowseName = QualifiedName('OptionSetValues', 0) node.NodeClass = NodeClass.Variable node.ParentNodeId = NumericNodeId(94, 0) node.ReferenceTypeId = NumericNodeId(46, 0) node.TypeDefinition = NumericNodeId(68, 0) attrs = ua.VariableAttributes() attrs.DisplayName = LocalizedText("OptionSetValues") attrs.DataType = ua.NodeId(ua.ObjectIds.LocalizedText) attrs.Value = [LocalizedText('Browse'),LocalizedText('ReadRolePermissions'),LocalizedText('WriteAttribute'),LocalizedText('WriteRolePermissions'),LocalizedText('WriteHistorizing'),LocalizedText('Read'),LocalizedText('Write'),LocalizedText('ReadHistory'),LocalizedText('InsertHistory'),LocalizedText('ModifyHistory'),LocalizedText('DeleteHistory'),LocalizedText('ReceiveEvents'),LocalizedText('Call'),LocalizedText('AddReference'),LocalizedText('RemoveReference'),LocalizedText('DeleteNode'),LocalizedText('AddNode')] attrs.ValueRank = 1 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(15030, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(68, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(37, 0) ref.SourceNodeId = NumericNodeId(15030, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(78, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(46, 0) ref.SourceNodeId = NumericNodeId(15030, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(94, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(15031, 0) node.BrowseName = QualifiedName('AccessLevelType', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(3, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.DisplayName = LocalizedText("AccessLevelType") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(46, 0) ref.SourceNodeId = NumericNodeId(15031, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(15032, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(15031, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(3, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(15032, 0) node.BrowseName = QualifiedName('OptionSetValues', 0) node.NodeClass = NodeClass.Variable node.ParentNodeId = NumericNodeId(15031, 0) node.ReferenceTypeId = NumericNodeId(46, 0) node.TypeDefinition = NumericNodeId(68, 0) attrs = ua.VariableAttributes() attrs.DisplayName = LocalizedText("OptionSetValues") attrs.DataType = ua.NodeId(ua.ObjectIds.LocalizedText) attrs.Value = [LocalizedText('CurrentRead'),LocalizedText('CurrentWrite'),LocalizedText('HistoryRead'),LocalizedText('Reserved'),LocalizedText('HistoryWrite'),LocalizedText('StatusWrite'),LocalizedText('TimestampWrite')] attrs.ValueRank = 1 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(15032, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(68, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(37, 0) ref.SourceNodeId = NumericNodeId(15032, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(78, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(46, 0) ref.SourceNodeId = NumericNodeId(15032, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(15031, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(15406, 0) node.BrowseName = QualifiedName('AccessLevelExType', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(7, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.DisplayName = LocalizedText("AccessLevelExType") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(46, 0) ref.SourceNodeId = NumericNodeId(15406, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(15407, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(15406, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(7, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(15407, 0) node.BrowseName = QualifiedName('OptionSetValues', 0) node.NodeClass = NodeClass.Variable node.ParentNodeId = NumericNodeId(15406, 0) node.ReferenceTypeId = NumericNodeId(46, 0) node.TypeDefinition = NumericNodeId(68, 0) attrs = ua.VariableAttributes() attrs.DisplayName = LocalizedText("OptionSetValues") attrs.DataType = ua.NodeId(ua.ObjectIds.LocalizedText) attrs.Value = [LocalizedText('CurrentRead'),LocalizedText('CurrentWrite'),LocalizedText('HistoryRead'),LocalizedText('Reserved'),LocalizedText('HistoryWrite'),LocalizedText('StatusWrite'),LocalizedText('TimestampWrite'),LocalizedText('Reserved'),LocalizedText('Reserved'),LocalizedText('Reserved'),LocalizedText('Reserved'),LocalizedText('Reserved'),LocalizedText('Reserved'),LocalizedText('Reserved'),LocalizedText('Reserved'),LocalizedText('Reserved'),LocalizedText('NonatomicRead'),LocalizedText('NonatomicWrite'),LocalizedText('WriteFullArrayOnly')] attrs.ValueRank = 1 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(15407, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(68, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(37, 0) ref.SourceNodeId = NumericNodeId(15407, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(78, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(46, 0) ref.SourceNodeId = NumericNodeId(15407, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(15406, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(15033, 0) node.BrowseName = QualifiedName('EventNotifierType', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(7, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.DisplayName = LocalizedText("EventNotifierType") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(46, 0) ref.SourceNodeId = NumericNodeId(15033, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(15034, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(15033, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(7, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(15034, 0) node.BrowseName = QualifiedName('OptionSetValues', 0) node.NodeClass = NodeClass.Variable node.ParentNodeId = NumericNodeId(15033, 0) node.ReferenceTypeId = NumericNodeId(46, 0) node.TypeDefinition = NumericNodeId(68, 0) attrs = ua.VariableAttributes() attrs.DisplayName = LocalizedText("OptionSetValues") attrs.DataType = ua.NodeId(ua.ObjectIds.LocalizedText) attrs.Value = [LocalizedText('SubscribeToEvents'),LocalizedText('Reserved'),LocalizedText('HistoryRead'),LocalizedText('HistoryWrite')] attrs.ValueRank = 1 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(15034, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(68, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(37, 0) ref.SourceNodeId = NumericNodeId(15034, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(78, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(46, 0) ref.SourceNodeId = NumericNodeId(15034, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(15033, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(95, 0) node.BrowseName = QualifiedName('AccessRestrictionType', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(7, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.DisplayName = LocalizedText("AccessRestrictionType") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(46, 0) ref.SourceNodeId = NumericNodeId(95, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(15035, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(95, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(7, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(15035, 0) node.BrowseName = QualifiedName('OptionSetValues', 0) node.NodeClass = NodeClass.Variable node.ParentNodeId = NumericNodeId(95, 0) node.ReferenceTypeId = NumericNodeId(46, 0) node.TypeDefinition = NumericNodeId(68, 0) attrs = ua.VariableAttributes() attrs.DisplayName = LocalizedText("OptionSetValues") attrs.DataType = ua.NodeId(ua.ObjectIds.LocalizedText) attrs.Value = [LocalizedText('SigningRequired'),LocalizedText('EncryptionRequired'),LocalizedText('SessionRequired')] attrs.ValueRank = 1 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(15035, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(68, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(37, 0) ref.SourceNodeId = NumericNodeId(15035, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(78, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(46, 0) ref.SourceNodeId = NumericNodeId(15035, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(95, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(96, 0) node.BrowseName = QualifiedName('RolePermissionType', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(22, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.DisplayName = LocalizedText("RolePermissionType") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(96, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(22, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(97, 0) node.BrowseName = QualifiedName('DataTypeDefinition', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(22, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.DisplayName = LocalizedText("DataTypeDefinition") attrs.IsAbstract = True node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(97, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(22, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(98, 0) node.BrowseName = QualifiedName('StructureType', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(29, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.DisplayName = LocalizedText("StructureType") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(46, 0) ref.SourceNodeId = NumericNodeId(98, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(14528, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(98, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(29, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(14528, 0) node.BrowseName = QualifiedName('EnumStrings', 0) node.NodeClass = NodeClass.Variable node.ParentNodeId = NumericNodeId(98, 0) node.ReferenceTypeId = NumericNodeId(46, 0) node.TypeDefinition = NumericNodeId(68, 0) attrs = ua.VariableAttributes() attrs.DisplayName = LocalizedText("EnumStrings") attrs.DataType = ua.NodeId(ua.ObjectIds.LocalizedText) attrs.Value = [LocalizedText('Structure'),LocalizedText('StructureWithOptionalFields'),LocalizedText('Union')] attrs.ValueRank = 1 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(14528, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(68, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(37, 0) ref.SourceNodeId = NumericNodeId(14528, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(78, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(46, 0) ref.SourceNodeId = NumericNodeId(14528, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(98, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(101, 0) node.BrowseName = QualifiedName('StructureField', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(22, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.DisplayName = LocalizedText("StructureField") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(101, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(22, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(99, 0) node.BrowseName = QualifiedName('StructureDefinition', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(97, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.DisplayName = LocalizedText("StructureDefinition") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(99, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(97, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(100, 0) node.BrowseName = QualifiedName('EnumDefinition', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(97, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.DisplayName = LocalizedText("EnumDefinition") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(100, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(97, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(296, 0) node.BrowseName = QualifiedName('Argument', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(22, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("An argument for a method.") attrs.DisplayName = LocalizedText("Argument") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(296, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(22, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(7594, 0) node.BrowseName = QualifiedName('EnumValueType', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(22, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("A mapping between a value of an enumerated type and a name and description.") attrs.DisplayName = LocalizedText("EnumValueType") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(7594, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(22, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(102, 0) node.BrowseName = QualifiedName('EnumField', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(7594, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.DisplayName = LocalizedText("EnumField") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(102, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(7594, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(12755, 0) node.BrowseName = QualifiedName('OptionSet', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(22, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("This abstract Structured DataType is the base DataType for all DataTypes representing a bit mask.") attrs.DisplayName = LocalizedText("OptionSet") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(12755, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(22, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(12756, 0) node.BrowseName = QualifiedName('Union', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(22, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("This abstract DataType is the base DataType for all union DataTypes.") attrs.DisplayName = LocalizedText("Union") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(12756, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(22, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(12877, 0) node.BrowseName = QualifiedName('NormalizedString', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(12, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("A string normalized based on the rules in the unicode specification.") attrs.DisplayName = LocalizedText("NormalizedString") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(12877, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(12, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(12878, 0) node.BrowseName = QualifiedName('DecimalString', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(12, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("An arbitraty numeric value.") attrs.DisplayName = LocalizedText("DecimalString") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(12878, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(12, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(12879, 0) node.BrowseName = QualifiedName('DurationString', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(12, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("A period of time formatted as defined in ISO 8601-2000.") attrs.DisplayName = LocalizedText("DurationString") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(12879, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(12, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(12880, 0) node.BrowseName = QualifiedName('TimeString', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(12, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("A time formatted as defined in ISO 8601-2000.") attrs.DisplayName = LocalizedText("TimeString") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(12880, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(12, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(12881, 0) node.BrowseName = QualifiedName('DateString', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(12, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("A date formatted as defined in ISO 8601-2000.") attrs.DisplayName = LocalizedText("DateString") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(12881, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(12, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(290, 0) node.BrowseName = QualifiedName('Duration', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(11, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("A period of time measured in milliseconds.") attrs.DisplayName = LocalizedText("Duration") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(290, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(11, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(294, 0) node.BrowseName = QualifiedName('UtcTime', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(13, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("A date/time value specified in Universal Coordinated Time (UTC).") attrs.DisplayName = LocalizedText("UtcTime") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(294, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(13, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(295, 0) node.BrowseName = QualifiedName('LocaleId', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(12, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.Description = LocalizedText("An identifier for a user locale.") attrs.DisplayName = LocalizedText("LocaleId") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(295, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(12, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(8912, 0) node.BrowseName = QualifiedName('TimeZoneDataType', 0) node.NodeClass = NodeClass.DataType node.ParentNodeId = NumericNodeId(22, 0) node.ReferenceTypeId = NumericNodeId(45, 0) attrs = ua.DataTypeAttributes() attrs.DisplayName = LocalizedText("TimeZoneDataType") node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(45, 0) ref.SourceNodeId = NumericNodeId(8912, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(22, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(128, 0) node.BrowseName = QualifiedName('Default Binary', 0) node.NodeClass = NodeClass.Object node.ParentNodeId = NumericNodeId(96, 0) node.ReferenceTypeId = NumericNodeId(38, 0) node.TypeDefinition = NumericNodeId(76, 0) attrs = ua.ObjectAttributes() attrs.DisplayName = LocalizedText("Default Binary") attrs.EventNotifier = 0 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(38, 0) ref.SourceNodeId = NumericNodeId(128, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(96, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(39, 0) ref.SourceNodeId = NumericNodeId(128, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(16131, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(128, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(76, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(121, 0) node.BrowseName = QualifiedName('Default Binary', 0) node.NodeClass = NodeClass.Object node.ParentNodeId = NumericNodeId(97, 0) node.ReferenceTypeId = NumericNodeId(38, 0) node.TypeDefinition = NumericNodeId(76, 0) attrs = ua.ObjectAttributes() attrs.DisplayName = LocalizedText("Default Binary") attrs.EventNotifier = 0 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(38, 0) ref.SourceNodeId = NumericNodeId(121, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(97, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(39, 0) ref.SourceNodeId = NumericNodeId(121, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(18178, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(121, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(76, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(14844, 0) node.BrowseName = QualifiedName('Default Binary', 0) node.NodeClass = NodeClass.Object node.ParentNodeId = NumericNodeId(101, 0) node.ReferenceTypeId = NumericNodeId(38, 0) node.TypeDefinition = NumericNodeId(76, 0) attrs = ua.ObjectAttributes() attrs.DisplayName = LocalizedText("Default Binary") attrs.EventNotifier = 0 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(38, 0) ref.SourceNodeId = NumericNodeId(14844, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(101, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(39, 0) ref.SourceNodeId = NumericNodeId(14844, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(18181, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(14844, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(76, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(122, 0) node.BrowseName = QualifiedName('Default Binary', 0) node.NodeClass = NodeClass.Object node.ParentNodeId = NumericNodeId(99, 0) node.ReferenceTypeId = NumericNodeId(38, 0) node.TypeDefinition = NumericNodeId(76, 0) attrs = ua.ObjectAttributes() attrs.DisplayName = LocalizedText("Default Binary") attrs.EventNotifier = 0 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(38, 0) ref.SourceNodeId = NumericNodeId(122, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(99, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(39, 0) ref.SourceNodeId = NumericNodeId(122, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(18184, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(122, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(76, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(123, 0) node.BrowseName = QualifiedName('Default Binary', 0) node.NodeClass = NodeClass.Object node.ParentNodeId = NumericNodeId(100, 0) node.ReferenceTypeId = NumericNodeId(38, 0) node.TypeDefinition = NumericNodeId(76, 0) attrs = ua.ObjectAttributes() attrs.DisplayName = LocalizedText("Default Binary") attrs.EventNotifier = 0 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(38, 0) ref.SourceNodeId = NumericNodeId(123, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(100, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(39, 0) ref.SourceNodeId = NumericNodeId(123, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(18187, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(123, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(76, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(298, 0) node.BrowseName = QualifiedName('Default Binary', 0) node.NodeClass = NodeClass.Object node.ParentNodeId = NumericNodeId(296, 0) node.ReferenceTypeId = NumericNodeId(38, 0) node.TypeDefinition = NumericNodeId(76, 0) attrs = ua.ObjectAttributes() attrs.DisplayName = LocalizedText("Default Binary") attrs.EventNotifier = 0 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(38, 0) ref.SourceNodeId = NumericNodeId(298, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(296, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(39, 0) ref.SourceNodeId = NumericNodeId(298, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(7650, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(298, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(76, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(8251, 0) node.BrowseName = QualifiedName('Default Binary', 0) node.NodeClass = NodeClass.Object node.ParentNodeId = NumericNodeId(7594, 0) node.ReferenceTypeId = NumericNodeId(38, 0) node.TypeDefinition = NumericNodeId(76, 0) attrs = ua.ObjectAttributes() attrs.DisplayName = LocalizedText("Default Binary") attrs.EventNotifier = 0 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(38, 0) ref.SourceNodeId = NumericNodeId(8251, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(7594, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(39, 0) ref.SourceNodeId = NumericNodeId(8251, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(7656, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(8251, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(76, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(14845, 0) node.BrowseName = QualifiedName('Default Binary', 0) node.NodeClass = NodeClass.Object node.ParentNodeId = NumericNodeId(102, 0) node.ReferenceTypeId = NumericNodeId(38, 0) node.TypeDefinition = NumericNodeId(76, 0) attrs = ua.ObjectAttributes() attrs.DisplayName = LocalizedText("Default Binary") attrs.EventNotifier = 0 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(38, 0) ref.SourceNodeId = NumericNodeId(14845, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(102, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(39, 0) ref.SourceNodeId = NumericNodeId(14845, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(14870, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(14845, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(76, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(12765, 0) node.BrowseName = QualifiedName('Default Binary', 0) node.NodeClass = NodeClass.Object node.ParentNodeId = NumericNodeId(12755, 0) node.ReferenceTypeId = NumericNodeId(38, 0) node.TypeDefinition = NumericNodeId(76, 0) attrs = ua.ObjectAttributes() attrs.DisplayName = LocalizedText("Default Binary") attrs.EventNotifier = 0 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(38, 0) ref.SourceNodeId = NumericNodeId(12765, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(12755, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(39, 0) ref.SourceNodeId = NumericNodeId(12765, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(12767, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(12765, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(76, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(12766, 0) node.BrowseName = QualifiedName('Default Binary', 0) node.NodeClass = NodeClass.Object node.ParentNodeId = NumericNodeId(12756, 0) node.ReferenceTypeId = NumericNodeId(38, 0) node.TypeDefinition = NumericNodeId(76, 0) attrs = ua.ObjectAttributes() attrs.DisplayName = LocalizedText("Default Binary") attrs.EventNotifier = 0 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(38, 0) ref.SourceNodeId = NumericNodeId(12766, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(12756, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(39, 0) ref.SourceNodeId = NumericNodeId(12766, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(12770, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(12766, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(76, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(8917, 0) node.BrowseName = QualifiedName('Default Binary', 0) node.NodeClass = NodeClass.Object node.ParentNodeId = NumericNodeId(8912, 0) node.ReferenceTypeId = NumericNodeId(38, 0) node.TypeDefinition = NumericNodeId(76, 0) attrs = ua.ObjectAttributes() attrs.DisplayName = LocalizedText("Default Binary") attrs.EventNotifier = 0 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(38, 0) ref.SourceNodeId = NumericNodeId(8917, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(8912, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(39, 0) ref.SourceNodeId = NumericNodeId(8917, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(8914, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(8917, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(76, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(16126, 0) node.BrowseName = QualifiedName('Default XML', 0) node.NodeClass = NodeClass.Object node.ParentNodeId = NumericNodeId(96, 0) node.ReferenceTypeId = NumericNodeId(38, 0) node.TypeDefinition = NumericNodeId(76, 0) attrs = ua.ObjectAttributes() attrs.DisplayName = LocalizedText("Default XML") attrs.EventNotifier = 0 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(38, 0) ref.SourceNodeId = NumericNodeId(16126, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(96, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(39, 0) ref.SourceNodeId = NumericNodeId(16126, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(16127, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(16126, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(76, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(14797, 0) node.BrowseName = QualifiedName('Default XML', 0) node.NodeClass = NodeClass.Object node.ParentNodeId = NumericNodeId(97, 0) node.ReferenceTypeId = NumericNodeId(38, 0) node.TypeDefinition = NumericNodeId(76, 0) attrs = ua.ObjectAttributes() attrs.DisplayName = LocalizedText("Default XML") attrs.EventNotifier = 0 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(38, 0) ref.SourceNodeId = NumericNodeId(14797, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(97, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(39, 0) ref.SourceNodeId = NumericNodeId(14797, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(18166, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(14797, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(76, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(14800, 0) node.BrowseName = QualifiedName('Default XML', 0) node.NodeClass = NodeClass.Object node.ParentNodeId = NumericNodeId(101, 0) node.ReferenceTypeId = NumericNodeId(38, 0) node.TypeDefinition = NumericNodeId(76, 0) attrs = ua.ObjectAttributes() attrs.DisplayName = LocalizedText("Default XML") attrs.EventNotifier = 0 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(38, 0) ref.SourceNodeId = NumericNodeId(14800, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(101, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(39, 0) ref.SourceNodeId = NumericNodeId(14800, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(18169, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(14800, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(76, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(14798, 0) node.BrowseName = QualifiedName('Default XML', 0) node.NodeClass = NodeClass.Object node.ParentNodeId = NumericNodeId(99, 0) node.ReferenceTypeId = NumericNodeId(38, 0) node.TypeDefinition = NumericNodeId(76, 0) attrs = ua.ObjectAttributes() attrs.DisplayName = LocalizedText("Default XML") attrs.EventNotifier = 0 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(38, 0) ref.SourceNodeId = NumericNodeId(14798, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(99, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(39, 0) ref.SourceNodeId = NumericNodeId(14798, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(18172, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(14798, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(76, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(14799, 0) node.BrowseName = QualifiedName('Default XML', 0) node.NodeClass = NodeClass.Object node.ParentNodeId = NumericNodeId(100, 0) node.ReferenceTypeId = NumericNodeId(38, 0) node.TypeDefinition = NumericNodeId(76, 0) attrs = ua.ObjectAttributes() attrs.DisplayName = LocalizedText("Default XML") attrs.EventNotifier = 0 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(38, 0) ref.SourceNodeId = NumericNodeId(14799, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(100, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(39, 0) ref.SourceNodeId = NumericNodeId(14799, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(18175, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(14799, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(76, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(297, 0) node.BrowseName = QualifiedName('Default XML', 0) node.NodeClass = NodeClass.Object node.ParentNodeId = NumericNodeId(296, 0) node.ReferenceTypeId = NumericNodeId(38, 0) node.TypeDefinition = NumericNodeId(76, 0) attrs = ua.ObjectAttributes() attrs.DisplayName = LocalizedText("Default XML") attrs.EventNotifier = 0 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(38, 0) ref.SourceNodeId = NumericNodeId(297, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(296, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(39, 0) ref.SourceNodeId = NumericNodeId(297, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(8285, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(297, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(76, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(7616, 0) node.BrowseName = QualifiedName('Default XML', 0) node.NodeClass = NodeClass.Object node.ParentNodeId = NumericNodeId(7594, 0) node.ReferenceTypeId = NumericNodeId(38, 0) node.TypeDefinition = NumericNodeId(76, 0) attrs = ua.ObjectAttributes() attrs.DisplayName = LocalizedText("Default XML") attrs.EventNotifier = 0 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(38, 0) ref.SourceNodeId = NumericNodeId(7616, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(7594, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(39, 0) ref.SourceNodeId = NumericNodeId(7616, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(8291, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(7616, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(76, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(14801, 0) node.BrowseName = QualifiedName('Default XML', 0) node.NodeClass = NodeClass.Object node.ParentNodeId = NumericNodeId(102, 0) node.ReferenceTypeId = NumericNodeId(38, 0) node.TypeDefinition = NumericNodeId(76, 0) attrs = ua.ObjectAttributes() attrs.DisplayName = LocalizedText("Default XML") attrs.EventNotifier = 0 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(38, 0) ref.SourceNodeId = NumericNodeId(14801, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(102, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(39, 0) ref.SourceNodeId = NumericNodeId(14801, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(14826, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(14801, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(76, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(12757, 0) node.BrowseName = QualifiedName('Default XML', 0) node.NodeClass = NodeClass.Object node.ParentNodeId = NumericNodeId(12755, 0) node.ReferenceTypeId = NumericNodeId(38, 0) node.TypeDefinition = NumericNodeId(76, 0) attrs = ua.ObjectAttributes() attrs.DisplayName = LocalizedText("Default XML") attrs.EventNotifier = 0 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(38, 0) ref.SourceNodeId = NumericNodeId(12757, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(12755, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(39, 0) ref.SourceNodeId = NumericNodeId(12757, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(12759, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(12757, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(76, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(12758, 0) node.BrowseName = QualifiedName('Default XML', 0) node.NodeClass = NodeClass.Object node.ParentNodeId = NumericNodeId(12756, 0) node.ReferenceTypeId = NumericNodeId(38, 0) node.TypeDefinition = NumericNodeId(76, 0) attrs = ua.ObjectAttributes() attrs.DisplayName = LocalizedText("Default XML") attrs.EventNotifier = 0 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(38, 0) ref.SourceNodeId = NumericNodeId(12758, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(12756, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(39, 0) ref.SourceNodeId = NumericNodeId(12758, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(12762, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(12758, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(76, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(8913, 0) node.BrowseName = QualifiedName('Default XML', 0) node.NodeClass = NodeClass.Object node.ParentNodeId = NumericNodeId(8912, 0) node.ReferenceTypeId = NumericNodeId(38, 0) node.TypeDefinition = NumericNodeId(76, 0) attrs = ua.ObjectAttributes() attrs.DisplayName = LocalizedText("Default XML") attrs.EventNotifier = 0 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(38, 0) ref.SourceNodeId = NumericNodeId(8913, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(8912, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(39, 0) ref.SourceNodeId = NumericNodeId(8913, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(8918, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(8913, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(76, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(15062, 0) node.BrowseName = QualifiedName('Default JSON', 0) node.NodeClass = NodeClass.Object node.ParentNodeId = NumericNodeId(96, 0) node.ReferenceTypeId = NumericNodeId(38, 0) node.TypeDefinition = NumericNodeId(76, 0) attrs = ua.ObjectAttributes() attrs.DisplayName = LocalizedText("Default JSON") attrs.EventNotifier = 0 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(38, 0) ref.SourceNodeId = NumericNodeId(15062, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(96, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(15062, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(76, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(15063, 0) node.BrowseName = QualifiedName('Default JSON', 0) node.NodeClass = NodeClass.Object node.ParentNodeId = NumericNodeId(97, 0) node.ReferenceTypeId = NumericNodeId(38, 0) node.TypeDefinition = NumericNodeId(76, 0) attrs = ua.ObjectAttributes() attrs.DisplayName = LocalizedText("Default JSON") attrs.EventNotifier = 0 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(38, 0) ref.SourceNodeId = NumericNodeId(15063, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(97, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(15063, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(76, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(15065, 0) node.BrowseName = QualifiedName('Default JSON', 0) node.NodeClass = NodeClass.Object node.ParentNodeId = NumericNodeId(101, 0) node.ReferenceTypeId = NumericNodeId(38, 0) node.TypeDefinition = NumericNodeId(76, 0) attrs = ua.ObjectAttributes() attrs.DisplayName = LocalizedText("Default JSON") attrs.EventNotifier = 0 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(38, 0) ref.SourceNodeId = NumericNodeId(15065, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(101, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(15065, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(76, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(15066, 0) node.BrowseName = QualifiedName('Default JSON', 0) node.NodeClass = NodeClass.Object node.ParentNodeId = NumericNodeId(99, 0) node.ReferenceTypeId = NumericNodeId(38, 0) node.TypeDefinition = NumericNodeId(76, 0) attrs = ua.ObjectAttributes() attrs.DisplayName = LocalizedText("Default JSON") attrs.EventNotifier = 0 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(38, 0) ref.SourceNodeId = NumericNodeId(15066, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(99, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(15066, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(76, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(15067, 0) node.BrowseName = QualifiedName('Default JSON', 0) node.NodeClass = NodeClass.Object node.ParentNodeId = NumericNodeId(100, 0) node.ReferenceTypeId = NumericNodeId(38, 0) node.TypeDefinition = NumericNodeId(76, 0) attrs = ua.ObjectAttributes() attrs.DisplayName = LocalizedText("Default JSON") attrs.EventNotifier = 0 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(38, 0) ref.SourceNodeId = NumericNodeId(15067, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(100, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(15067, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(76, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(15081, 0) node.BrowseName = QualifiedName('Default JSON', 0) node.NodeClass = NodeClass.Object node.ParentNodeId = NumericNodeId(296, 0) node.ReferenceTypeId = NumericNodeId(38, 0) node.TypeDefinition = NumericNodeId(76, 0) attrs = ua.ObjectAttributes() attrs.DisplayName = LocalizedText("Default JSON") attrs.EventNotifier = 0 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(38, 0) ref.SourceNodeId = NumericNodeId(15081, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(296, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(15081, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(76, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(15082, 0) node.BrowseName = QualifiedName('Default JSON', 0) node.NodeClass = NodeClass.Object node.ParentNodeId = NumericNodeId(7594, 0) node.ReferenceTypeId = NumericNodeId(38, 0) node.TypeDefinition = NumericNodeId(76, 0) attrs = ua.ObjectAttributes() attrs.DisplayName = LocalizedText("Default JSON") attrs.EventNotifier = 0 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(38, 0) ref.SourceNodeId = NumericNodeId(15082, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(7594, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(15082, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(76, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(15083, 0) node.BrowseName = QualifiedName('Default JSON', 0) node.NodeClass = NodeClass.Object node.ParentNodeId = NumericNodeId(102, 0) node.ReferenceTypeId = NumericNodeId(38, 0) node.TypeDefinition = NumericNodeId(76, 0) attrs = ua.ObjectAttributes() attrs.DisplayName = LocalizedText("Default JSON") attrs.EventNotifier = 0 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(38, 0) ref.SourceNodeId = NumericNodeId(15083, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(102, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(15083, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(76, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(15084, 0) node.BrowseName = QualifiedName('Default JSON', 0) node.NodeClass = NodeClass.Object node.ParentNodeId = NumericNodeId(12755, 0) node.ReferenceTypeId = NumericNodeId(38, 0) node.TypeDefinition = NumericNodeId(76, 0) attrs = ua.ObjectAttributes() attrs.DisplayName = LocalizedText("Default JSON") attrs.EventNotifier = 0 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(38, 0) ref.SourceNodeId = NumericNodeId(15084, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(12755, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(15084, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(76, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(15085, 0) node.BrowseName = QualifiedName('Default JSON', 0) node.NodeClass = NodeClass.Object node.ParentNodeId = NumericNodeId(12756, 0) node.ReferenceTypeId = NumericNodeId(38, 0) node.TypeDefinition = NumericNodeId(76, 0) attrs = ua.ObjectAttributes() attrs.DisplayName = LocalizedText("Default JSON") attrs.EventNotifier = 0 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(38, 0) ref.SourceNodeId = NumericNodeId(15085, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(12756, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(15085, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(76, 0) refs.append(ref) server.add_references(refs) node = ua.AddNodesItem() node.RequestedNewNodeId = NumericNodeId(15086, 0) node.BrowseName = QualifiedName('Default JSON', 0) node.NodeClass = NodeClass.Object node.ParentNodeId = NumericNodeId(8912, 0) node.ReferenceTypeId = NumericNodeId(38, 0) node.TypeDefinition = NumericNodeId(76, 0) attrs = ua.ObjectAttributes() attrs.DisplayName = LocalizedText("Default JSON") attrs.EventNotifier = 0 node.NodeAttributes = attrs server.add_nodes([node]) refs = [] ref = ua.AddReferencesItem() ref.IsForward = False ref.ReferenceTypeId = NumericNodeId(38, 0) ref.SourceNodeId = NumericNodeId(15086, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(8912, 0) refs.append(ref) ref = ua.AddReferencesItem() ref.IsForward = True ref.ReferenceTypeId = NumericNodeId(40, 0) ref.SourceNodeId = NumericNodeId(15086, 0) ref.TargetNodeClass = NodeClass.DataType ref.TargetNodeId = NumericNodeId(76, 0) refs.append(ref) server.add_references(refs)

38.784793

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141,293

6.751537

0.039462

0.02367

0.048221

0.054796

0.888536

0.883202

0.879989

0.873784

0.863675

0.858161

0

0.039266

0.185466

141,293

3,642

558

38.795442

0.828879

0.000757

0

0.822788

1

0.001431

0.070486

0.002047

0

1

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false

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null

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1

0

1

0

null

0

8

d9f2c4713f58011ac46063726e895ed2aedbda0d

280,319

py

Python

hphp/hack/test/integration/test_lsp.py

Raulkumar/hhvm

dfc1a50aff4d3a1df508c685fee401262e530879

[ "PHP-3.01", "Zend-2.0" ]

null

hphp/hack/test/integration/test_lsp.py

Raulkumar/hhvm

dfc1a50aff4d3a1df508c685fee401262e530879

[ "PHP-3.01", "Zend-2.0" ]

null

hphp/hack/test/integration/test_lsp.py

Raulkumar/hhvm

dfc1a50aff4d3a1df508c685fee401262e530879

[ "PHP-3.01", "Zend-2.0" ]

1

2021-01-29T08:44:22.000Z

# pyre-strict # flake8: noqa: B950 from __future__ import absolute_import, division, print_function, unicode_literals import copy import enum import json import os import re import unittest import urllib.parse from typing import Iterable, List, Mapping, Tuple import common_tests from hh_paths import hh_server from lspcommand import LspCommandProcessor, Transcript from lsptestspec import LspTestSpec, NoResponse, line from test_case import TestCase from utils import Json, JsonObject, interpolate_variables class InsertTextFormat(enum.Enum): PlainText = 1 Snippet = 2 class LspTestDriver(common_tests.CommonTestDriver): def write_load_config(self, use_saved_state: bool = False) -> None: # Will use the .hhconfig already in the repo directory # As for hh.conf, we'll write it explicitly each test. # Note that hh.conf uses lower-case... use_saved_state_str = "true" if use_saved_state else "false" with open(os.path.join(self.repo_dir, "hh.conf"), "w") as f: f.write( """ use_watchman = true watchman_subscribe_v2 = true interrupt_on_watchman = true interrupt_on_client = true max_workers = 2 load_state_natively_v4 = {use_saved_state} use_mini_state = {use_saved_state} require_mini_state = {use_saved_state} lazy_decl = {use_saved_state} lazy_parse = {use_saved_state} lazy_init2 = {use_saved_state} symbolindex_search_provider = SqliteIndex """.format( use_saved_state=use_saved_state_str ) ) def write_naming_table_saved_state(self) -> str: naming_table_saved_state_path = os.path.join( self.repo_dir, "naming_table_saved_state.sqlite" ) (stdout, stderr, retcode) = self.proc_call( [ hh_server, "--check", self.repo_dir, "--save-naming", naming_table_saved_state_path, ] ) assert retcode == 0, ( f"Failed to save naming table saved state: {retcode}\n" + f"STDOUT:\n{stdout}\n" + f"STDERR:\n{stderr}\n" ) return naming_table_saved_state_path class TestLsp(TestCase[LspTestDriver]): @classmethod def get_test_driver(cls) -> LspTestDriver: return LspTestDriver() @classmethod def get_template_repo(cls) -> str: return "hphp/hack/test/integration/data/lsp_exchanges/" def repo_file(self, file: str) -> str: return os.path.join(self.test_driver.repo_dir, file) def read_repo_file(self, file: str) -> str: with open(self.repo_file(file), "r") as f: return f.read() def repo_file_uri(self, file: str) -> str: return urllib.parse.urljoin("file://", self.repo_file(file)) # pyre-fixme[11]: Annotation `Json` is not defined as a type. def parse_test_data(self, file: str, variables: Mapping[str, str]) -> Json: text = self.read_repo_file(file) data: Json = json.loads(text) data = interpolate_variables(data, variables) return data def load_test_data( self, test_name: str, variables: Mapping[str, str] ) -> Tuple[Json, Json]: test = self.parse_test_data(test_name + ".json", variables) expected = self.parse_test_data(test_name + ".expected", variables) return (test, expected) def write_observed(self, test_name: str, observed_transcript: Json) -> None: file = os.path.join(self.test_driver.template_repo, test_name + ".observed.log") text = json.dumps( list(self.get_important_received_items(observed_transcript)), indent=2 ) with open(file, "w") as f: f.write(text) # pyre-fixme[11]: Annotation `JsonObject` is not defined as a type. def order_response(self, response: JsonObject) -> str: if "id" in response: return str(response["id"]) else: return json.dumps(response, indent=2) # sorts a list of responses using the 'id' parameter so they can be # compared in sequence even if they came back from the server out of sequence. # this can happen based on how json rpc is specified to work. # if 'id' isn't present the response is a notification. we sort notifications # by their entire text. def sort_responses(self, responses: Iterable[JsonObject]) -> List[JsonObject]: return sorted(responses, key=lambda response: self.order_response(response)) # removes stack traces from error responses since these can be noisy # as code changes and they contain execution environment specific details # by ignoring these when comparing responses we might miss some minor issues # but will still catch the core error being thrown or not. def sanitize_exceptions( self, responses: Iterable[JsonObject] ) -> Iterable[JsonObject]: sanitized = copy.deepcopy(responses) for response in sanitized: if "error" in response: if "data" in response["error"]: if "stack" in response["error"]["data"]: del response["error"]["data"]["stack"] if "current_stack" in response["error"]["data"]: del response["error"]["data"]["current_stack"] if "server_finale_stack" in response["error"]["data"]: del response["error"]["data"]["server_finale_stack"] return sanitized # dumps an LSP response into a standard json format that can be used for # doing precise text comparison in a way that is human readable in the case # of there being an error. def serialize_responses(self, responses: Iterable[Json]) -> List[str]: return [json.dumps(response, indent=2) for response in responses] # generates received responses from an LSP communication transcript # ignoring the non-deterministic ones "progress" and "actionRequired" def get_important_received_items(self, transcript: Transcript) -> Iterable[Json]: for entry in transcript.values(): received = entry.received or None if received is None: continue method = received.get("method") or "" if method in [ "window/progress", "window/actionRequired", "window/showStatus", "telemetry/event", ]: continue yield received # gets a set of loaded responses ready for validation by sorting them # by id and serializing them for precise text comparison def prepare_responses(self, responses: Iterable[JsonObject]) -> List[str]: return self.serialize_responses( self.sanitize_exceptions(self.sort_responses(responses)) ) def run_lsp_test( self, test_name: str, test: Json, expected: Json, wait_for_server: bool, use_serverless_ide: bool, ) -> None: if wait_for_server: assert not use_serverless_ide, ( "Warning: both `wait_for_server` and `use_serverless_ide` " + "were set to `True` for testing in " + self.run_lsp_test.__name__ + ". " + "While this is a possible test case, it hasn't been written yet, " + "so it's more likely that this is a mistake " + "and you're accidentally relying on hh_server to fulfill " + "serverless IDE requests." + "(If you're writing that test, " + "then it's time to remove this assertion.)" ) # wait until hh_server is ready before starting lsp self.test_driver.run_check() elif use_serverless_ide: self.test_driver.stop_hh_server() with LspCommandProcessor.create( self.test_driver.test_env, use_serverless_ide=use_serverless_ide ) as lsp: observed_transcript = lsp.communicate(test) self.write_observed(test_name, observed_transcript) expected_items = self.prepare_responses(expected) observed_items = self.prepare_responses( list(self.get_important_received_items(observed_transcript)) ) if not use_serverless_ide: # If the server's busy, maybe the machine's just under too much # pressure to give results in a timely fashion. Doing a retry would # only defer the question of what to do in that case, so instead # we'll just skip. self.throw_on_skip(observed_transcript) # validation checks that the number of items matches and that # the responses are exactly identical to what we expect self.assertEqual( len(expected_items), len(observed_items), "Wrong count. Observed this:\n" + json.dumps(observed_transcript, indent=2, separators=(",", ": ")), ) for i in range(len(expected_items)): self.assertEqual(expected_items[i], observed_items[i]) def throw_on_skip(self, transcript: Transcript) -> None: failure_messages = ["Server busy", "timed out"] for entry in transcript.values(): received = entry.received if received is None: continue if received.get("error"): message = received["error"]["message"] for failure_message in failure_messages: if failure_message in message: raise unittest.SkipTest(message) def prepare_server_environment(self) -> None: self.maxDiff = None self.test_driver.write_load_config() self.test_driver.start_hh_server() (output, err, _) = self.test_driver.run_check() if "Error: Ran out of retries" in err: raise unittest.SkipTest("Hack server could not be launched") self.assertEqual(output.strip(), "No errors!") def prepare_serverless_ide_environment(self) -> Mapping[str, str]: self.maxDiff = None self.test_driver.write_load_config(use_saved_state=False) naming_table_saved_state_path = ( self.test_driver.write_naming_table_saved_state() ) return {"naming_table_saved_state_path": naming_table_saved_state_path} def load_and_run( self, test_name: str, variables: Mapping[str, str], wait_for_server: bool = True, use_serverless_ide: bool = False, ) -> None: test, expected = self.load_test_data(test_name, variables) self.run_lsp_test( test_name=test_name, test=test, expected=expected, wait_for_server=wait_for_server, use_serverless_ide=use_serverless_ide, ) def run_spec( self, spec: LspTestSpec, variables: Mapping[str, str], wait_for_server: bool, use_serverless_ide: bool, ) -> None: if wait_for_server: # wait until hh_server is ready before starting lsp self.test_driver.run_check() elif use_serverless_ide: self.test_driver.stop_hh_server() with LspCommandProcessor.create( self.test_driver.test_env, use_serverless_ide=use_serverless_ide ) as lsp_command_processor: (observed_transcript, error_details) = spec.run( lsp_command_processor=lsp_command_processor, variables=variables ) file = os.path.join(self.test_driver.template_repo, spec.name + ".sent.log") text = json.dumps( [ sent for sent, _received in observed_transcript.values() if sent is not None ], indent=2, ) with open(file, "w") as f: f.write(text) file = os.path.join(self.test_driver.template_repo, spec.name + ".received.log") text = json.dumps( [ received for _sent, received in observed_transcript.values() if received is not None ], indent=2, ) with open(file, "w") as f: f.write(text) if not use_serverless_ide: # If the server's busy, maybe the machine's just under too much # pressure to give results in a timely fashion. Doing a retry would # only defer the question of what to do in that case, so instead # we'll just skip. self.throw_on_skip(observed_transcript) if error_details is not None: raise AssertionError(error_details) def setup_php_file(self, test_php: str) -> Mapping[str, str]: # We want the path to the builtins directory. This is best we can do. (output, err, retcode) = self.test_driver.run_check( options=["--identify-function", "2:21", "--json"], stdin="<?hh // partial\nfunction f():void {PHP_EOL;}\n", ) if retcode == 7: self.skipTest( "Could not discover builtins directory -- " + "got exit code 7 (either Out_of_time or Out_of_retries). " + "The test machine is likely under too much load." ) self.assertEqual(retcode, 0) constants_path = json.loads(output)[0]["definition_pos"]["filename"] return { "hhi_path": re.sub("/constants.hhi$", "", constants_path), "root_path": self.test_driver.repo_dir, "php_file_uri": self.repo_file_uri(test_php), "php_file": self.read_repo_file(test_php), } def test_init_shutdown(self) -> None: self.prepare_server_environment() self.load_and_run( "initialize_shutdown", {"root_path": self.test_driver.repo_dir} ) def test_serverless_ide_completion(self) -> None: variables = dict(self.prepare_serverless_ide_environment()) variables.update(self.setup_php_file("completion.php")) self.test_driver.stop_hh_server() spec = ( self.initialize_spec(LspTestSpec("ide_completion"), use_serverless_ide=True) .notification( method="textDocument/didOpen", params={ "textDocument": { "uri": "${php_file_uri}", "languageId": "hack", "version": 1, "text": "${php_file}", } }, ) .notification( comment="Add '$x = $point1['' to test autocomplete for shapes", method="textDocument/didChange", params={ "textDocument": {"uri": "${php_file_uri}"}, "contentChanges": [ { "range": { "start": {"line": 22, "character": 0}, "end": {"line": 22, "character": 0}, }, "text": "$x = $point1['", } ], }, ) .request( line=line(), comment="autocomplete after user types a shape", method="textDocument/completion", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 22, "character": 14}, }, result={ "isIncomplete": False, "items": [ { "label": "'x'", "kind": 12, "detail": "literal", "inlineDetail": "literal", "sortText": "'x'", "insertText": "'x'", "insertTextFormat": InsertTextFormat.PlainText.value, "data": { "fullname": "'x'", "filename": "${root_path}/completion.php", "line": 22, "char": 19, }, }, { "label": "'y'", "kind": 12, "detail": "literal", "inlineDetail": "literal", "sortText": "'y'", "insertText": "'y'", "insertTextFormat": InsertTextFormat.PlainText.value, "data": { "fullname": "'y'", "filename": "${root_path}/completion.php", "line": 22, "char": 30, }, }, ], }, powered_by="serverless_ide", ) .notification( comment="Add automatically closed apostrophes when typing a shape key, the way visual studio code does it", method="textDocument/didChange", params={ "textDocument": {"uri": "${php_file_uri}"}, "contentChanges": [ { "range": { "start": {"line": 22, "character": 0}, "end": {"line": 22, "character": 14}, }, "text": "$x = $point1['']", } ], }, ) .request( line=line(), comment="autocomplete after a shape, with VS Code automatically closed apostrophes", method="textDocument/completion", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 22, "character": 14}, }, result={ "isIncomplete": False, "items": [ { "label": "'x", "kind": 12, "detail": "literal", "inlineDetail": "literal", "sortText": "'x", "insertText": "'x", "insertTextFormat": InsertTextFormat.PlainText.value, "data": { "fullname": "'x'", "filename": "${root_path}/completion.php", "line": 22, "char": 19, }, }, { "label": "'y", "kind": 12, "detail": "literal", "inlineDetail": "literal", "sortText": "'y", "insertText": "'y", "insertTextFormat": InsertTextFormat.PlainText.value, "data": { "fullname": "'y'", "filename": "${root_path}/completion.php", "line": 22, "char": 30, }, }, ], }, powered_by="serverless_ide", ) .notification( comment="Add '$x = <'", method="textDocument/didChange", params={ "textDocument": {"uri": "${php_file_uri}"}, "contentChanges": [ { "range": { "start": {"line": 3, "character": 0}, "end": {"line": 3, "character": 0}, }, "text": "$x = <", } ], }, ) .request( line=line(), comment="autocomplete after '$x = <'", method="textDocument/completion", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 6}, }, result={ "isIncomplete": False, "items": [ { "label": "ab:cd:alpha", "kind": 7, "detail": "class", "inlineDetail": "class", "sortText": "ab:cd:alpha", "insertText": "ab:cd:alpha", "insertTextFormat": InsertTextFormat.PlainText.value, "data": {"fullname": ":ab:cd:alpha"}, }, { "label": "ab:cd:text", "kind": 7, "detail": "class", "inlineDetail": "class", "sortText": "ab:cd:text", "insertText": "ab:cd:text", "insertTextFormat": InsertTextFormat.PlainText.value, "data": {"fullname": ":ab:cd:text"}, }, ], }, powered_by="serverless_ide", ) .notification( comment="Add '$x = <a'", method="textDocument/didChange", params={ "textDocument": {"uri": "${php_file_uri}"}, "contentChanges": [ { "range": { "start": {"line": 3, "character": 0}, "end": {"line": 3, "character": 6}, }, "text": "$x = <a", } ], }, ) .request( line=line(), comment="autocomplete after '$x = <a'", method="textDocument/completion", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 7}, }, result={ "isIncomplete": False, "items": [ { "label": "ab:cd:alpha", "kind": 7, "detail": "class", "inlineDetail": "class", "sortText": "ab:cd:alpha", "insertText": "ab:cd:alpha", "insertTextFormat": InsertTextFormat.PlainText.value, "data": {"fullname": ":ab:cd:alpha"}, }, { "label": "ab:cd:text", "kind": 7, "detail": "class", "inlineDetail": "class", "sortText": "ab:cd:text", "insertText": "ab:cd:text", "insertTextFormat": InsertTextFormat.PlainText.value, "data": {"fullname": ":ab:cd:text"}, }, ], }, powered_by="serverless_ide", ) .notification( comment="Add '$x = <ab:'", method="textDocument/didChange", params={ "textDocument": {"uri": "${php_file_uri}"}, "contentChanges": [ { "range": { "start": {"line": 3, "character": 0}, "end": {"line": 3, "character": 7}, }, "text": "$x = <ab:", } ], }, ) .request( line=line(), comment="autocomplete after '$x = <ab:'", method="textDocument/completion", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 9}, }, result={ "isIncomplete": False, "items": [ { "label": "ab:cd:alpha", "kind": 7, "detail": "class", "inlineDetail": "class", "sortText": "ab:cd:alpha", "insertText": "ab:cd:alpha", "insertTextFormat": InsertTextFormat.PlainText.value, "data": {"fullname": ":ab:cd:alpha"}, }, { "label": "ab:cd:text", "kind": 7, "detail": "class", "inlineDetail": "class", "sortText": "ab:cd:text", "insertText": "ab:cd:text", "insertTextFormat": InsertTextFormat.PlainText.value, "data": {"fullname": ":ab:cd:text"}, }, ], }, powered_by="serverless_ide", ) .notification( comment="Add '$x = <ab:cd:text '", method="textDocument/didChange", params={ "textDocument": {"uri": "${php_file_uri}"}, "contentChanges": [ { "range": { "start": {"line": 3, "character": 0}, "end": {"line": 3, "character": 9}, }, "text": "$x = <ab:cd:text ", } ], }, ) .request( line=line(), comment="autocomplete after '$x = <ab:cd:text '", method="textDocument/completion", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 17}, }, result={ "isIncomplete": False, "items": [ { "label": "width", "kind": 10, "detail": "?int", "inlineDetail": "?int", "sortText": "width", "insertText": "width", "insertTextFormat": InsertTextFormat.PlainText.value, "data": { "fullname": ":width", "filename": "${root_path}/completion_extras.php", "line": 5, "char": 27, "base_class": "\\:ab:cd:text", }, }, { "label": "color", "kind": 10, "detail": "?string", "inlineDetail": "?string", "sortText": "color", "insertText": "color", "insertTextFormat": InsertTextFormat.PlainText.value, "data": { "fullname": ":color", "filename": "${root_path}/completion_extras.php", "line": 5, "char": 13, "base_class": "\\:ab:cd:text", }, }, ], }, powered_by="serverless_ide", ) .notification( comment="Add '$x = <ab:cd:text w'", method="textDocument/didChange", params={ "textDocument": {"uri": "${php_file_uri}"}, "contentChanges": [ { "range": { "start": {"line": 3, "character": 0}, "end": {"line": 3, "character": 17}, }, "text": "$x = <ab:cd:text w", } ], }, ) .request( line=line(), comment="autocomplete after '$x = <ab:cd:text w'", method="textDocument/completion", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 18}, }, result={ "isIncomplete": False, "items": [ { "label": "width", "kind": 10, "detail": "?int", "inlineDetail": "?int", "sortText": "width", "insertText": "width", "insertTextFormat": InsertTextFormat.PlainText.value, "data": { "fullname": ":width", "filename": "${root_path}/completion_extras.php", "line": 5, "char": 27, "base_class": "\\:ab:cd:text", }, }, { "label": "color", "kind": 10, "detail": "?string", "inlineDetail": "?string", "sortText": "color", "insertText": "color", "insertTextFormat": InsertTextFormat.PlainText.value, "data": { "fullname": ":color", "filename": "${root_path}/completion_extras.php", "line": 5, "char": 13, "base_class": "\\:ab:cd:text", }, }, ], }, powered_by="serverless_ide", ) .notification( comment="Add '$x = new :'", method="textDocument/didChange", params={ "textDocument": {"uri": "${php_file_uri}"}, "contentChanges": [ { "range": { "start": {"line": 3, "character": 0}, "end": {"line": 3, "character": 18}, }, "text": "$x = new :", } ], }, ) .request( line=line(), comment="autocomplete after '$x = new :'", method="textDocument/completion", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 10}, }, result={ "isIncomplete": False, "items": [ { "label": ":ab:cd:alpha", "kind": 7, "detail": "class", "inlineDetail": "class", "sortText": ":ab:cd:alpha", "insertText": ":ab:cd:alpha", "insertTextFormat": InsertTextFormat.PlainText.value, "data": {"fullname": ":ab:cd:alpha"}, }, { "label": ":ab:cd:text", "kind": 7, "detail": "class", "inlineDetail": "class", "sortText": ":ab:cd:text", "insertText": ":ab:cd:text", "insertTextFormat": InsertTextFormat.PlainText.value, "data": {"fullname": ":ab:cd:text"}, }, ], }, powered_by="serverless_ide", ) .notification( comment="Add '$x = new :a'", method="textDocument/didChange", params={ "textDocument": {"uri": "${php_file_uri}"}, "contentChanges": [ { "range": { "start": {"line": 3, "character": 0}, "end": {"line": 3, "character": 10}, }, "text": "$x = new :a", } ], }, ) .request( line=line(), comment="autocomplete after '$x = new :a'", method="textDocument/completion", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 11}, }, result={ "isIncomplete": False, "items": [ { "label": ":ab:cd:alpha", "kind": 7, "detail": "class", "inlineDetail": "class", "sortText": ":ab:cd:alpha", "insertText": ":ab:cd:alpha", "insertTextFormat": InsertTextFormat.PlainText.value, "data": {"fullname": ":ab:cd:alpha"}, }, { "label": ":ab:cd:text", "kind": 7, "detail": "class", "inlineDetail": "class", "sortText": ":ab:cd:text", "insertText": ":ab:cd:text", "insertTextFormat": InsertTextFormat.PlainText.value, "data": {"fullname": ":ab:cd:text"}, }, ], }, powered_by="serverless_ide", ) # Note that this request should match the result in the previous example .request( line=line(), comment="autocomplete resolving after '$x = new :a'", method="completionItem/resolve", params={ "label": ":ab:cd:alpha", "kind": 7, "detail": "class", "inlineDetail": "class", "itemType": ":ab:cd:alpha", "insertText": ":ab:cd:alpha", "insertTextFormat": InsertTextFormat.PlainText.value, "data": {"fullname": ":ab:cd:alpha"}, }, result={ "label": ":ab:cd:alpha", "kind": 7, "detail": "class", "inlineDetail": "class", "itemType": ":ab:cd:alpha", "documentation": { "kind": "markdown", "value": ":ab:cd:alpha docblock", }, "insertText": ":ab:cd:alpha", "insertTextFormat": InsertTextFormat.PlainText.value, "data": {"fullname": ":ab:cd:alpha"}, }, powered_by="serverless_ide", ) # Try the same thing again, but this time without "new", instead using "<xhp" style .notification( comment="Add '$x = <a'", method="textDocument/didChange", params={ "textDocument": {"uri": "${php_file_uri}"}, "contentChanges": [ { "range": { "start": {"line": 3, "character": 0}, "end": {"line": 3, "character": 11}, }, "text": "$x = <a", } ], }, ) .request( line=line(), comment="autocomplete after '$x = <a'", method="textDocument/completion", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 7}, }, result={ "isIncomplete": False, "items": [ { "label": "ab:cd:alpha", "kind": 7, "detail": "class", "inlineDetail": "class", "sortText": "ab:cd:alpha", "insertText": "ab:cd:alpha", "insertTextFormat": InsertTextFormat.PlainText.value, "data": {"fullname": ":ab:cd:alpha"}, }, { "label": "ab:cd:text", "kind": 7, "detail": "class", "inlineDetail": "class", "sortText": "ab:cd:text", "insertText": "ab:cd:text", "insertTextFormat": InsertTextFormat.PlainText.value, "data": {"fullname": ":ab:cd:text"}, }, ], }, powered_by="serverless_ide", ) .request( line=line(), comment="autocomplete resolving after '$x = <a'", method="completionItem/resolve", params={ "label": "ab:cd:alpha", "kind": 7, "detail": "class", "inlineDetail": "class", "insertText": "ab:cd:alpha", "insertTextFormat": InsertTextFormat.PlainText.value, "data": {"fullname": ":ab:cd:alpha"}, }, result={ "label": "ab:cd:alpha", "kind": 7, "detail": "class", "inlineDetail": "class", "documentation": { "kind": "markdown", "value": ":ab:cd:alpha docblock", }, "insertText": "ab:cd:alpha", "insertTextFormat": InsertTextFormat.PlainText.value, "data": {"fullname": ":ab:cd:alpha"}, }, powered_by="serverless_ide", ) .notification( comment="Add '$x = <ab:cd:text/>; $y = $x->'", method="textDocument/didChange", params={ "textDocument": {"uri": "${php_file_uri}"}, "contentChanges": [ { "range": { "start": {"line": 3, "character": 0}, "end": {"line": 3, "character": 7}, }, "text": "$x = <ab:cd:text/>; $y = $x->", } ], }, ) .request( line=line(), comment="autocomplete after '$x = <ab:cd:text/>; $y = $x->'", method="textDocument/completion", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 29}, }, result={ "isIncomplete": False, "items": [ { "label": ":width", "kind": 10, "detail": "?int", "inlineDetail": "?int", "sortText": ":width", "insertText": ":width", "insertTextFormat": InsertTextFormat.PlainText.value, "data": { "fullname": ":width", "filename": "${root_path}/completion_extras.php", "line": 5, "char": 27, "base_class": "\\:ab:cd:text", }, }, { "label": ":color", "kind": 10, "detail": "?string", "inlineDetail": "?string", "sortText": ":color", "insertText": ":color", "insertTextFormat": InsertTextFormat.PlainText.value, "data": { "fullname": ":color", "filename": "${root_path}/completion_extras.php", "line": 5, "char": 13, "base_class": "\\:ab:cd:text", }, }, ], }, powered_by="serverless_ide", ) .notification( comment="Add '$x = <ab:cd:text/>; $y = $x->:'", method="textDocument/didChange", params={ "textDocument": {"uri": "${php_file_uri}"}, "contentChanges": [ { "range": { "start": {"line": 3, "character": 0}, "end": {"line": 3, "character": 29}, }, "text": "$x = <ab:cd:text/>; $y = $x->:", } ], }, ) .request( line=line(), comment="autocomplete after '$x = <ab:cd:text/>; $y = $x->:'", method="textDocument/completion", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 30}, }, result={ "isIncomplete": False, "items": [ { "label": ":width", "kind": 10, "detail": "?int", "inlineDetail": "?int", "sortText": ":width", "insertText": ":width", "insertTextFormat": InsertTextFormat.PlainText.value, "data": { "fullname": ":width", "filename": "${root_path}/completion_extras.php", "line": 5, "char": 27, "base_class": "\\:ab:cd:text", }, }, { "label": ":color", "kind": 10, "detail": "?string", "inlineDetail": "?string", "sortText": ":color", "insertText": ":color", "insertTextFormat": InsertTextFormat.PlainText.value, "data": { "fullname": ":color", "filename": "${root_path}/completion_extras.php", "line": 5, "char": 13, "base_class": "\\:ab:cd:text", }, }, ], }, powered_by="serverless_ide", ) .notification( comment="Add 'test_fun'", method="textDocument/didChange", params={ "textDocument": {"uri": "${php_file_uri}"}, "contentChanges": [ { "range": { "start": {"line": 3, "character": 0}, "end": {"line": 3, "character": 30}, }, "text": "test_fun", } ], }, ) .request( line=line(), comment="autocomplete after 'test_fun'", method="textDocument/completion", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 8}, }, result={ "isIncomplete": False, "items": [ { "label": "test_function", "kind": 3, "detail": "function", "inlineDetail": "function", "sortText": "test_function", "insertText": "test_function", "insertTextFormat": InsertTextFormat.PlainText.value, "data": {"fullname": "test_function"}, } ], }, powered_by="serverless_ide", ) .request( line=line(), comment="autocomplete resolving after 'test_fun'", method="completionItem/resolve", params={ "label": "test_function", "kind": 3, "detail": "function(): void", "inlineDetail": "()", "itemType": "void", "insertText": "test_function", "insertTextFormat": InsertTextFormat.PlainText.value, "data": { "filename": "${root_path}/completion.php", "line": 8, "char": 10, }, }, result={ "label": "test_function", "kind": 3, "detail": "function(): void", "inlineDetail": "()", "itemType": "void", "documentation": { "kind": "markdown", "value": "test_function docblock.", }, "insertText": "test_function", "insertTextFormat": InsertTextFormat.PlainText.value, "data": { "filename": "${root_path}/completion.php", "line": 8, "char": 10, }, }, powered_by="serverless_ide", ) .notification( comment="Add 'switch (Elsa::Alonso) { case Elsa:'", method="textDocument/didChange", params={ "textDocument": {"uri": "${php_file_uri}"}, "contentChanges": [ { "range": { "start": {"line": 3, "character": 0}, "end": {"line": 3, "character": 8}, }, "text": "switch (Elsa::Alonso) { case Elsa:", } ], }, ) .request( line=line(), comment="autocomplete after 'switch (Elsa::Alonso) { case Elsa:'", method="textDocument/completion", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 34}, }, result={"isIncomplete": False, "items": []}, powered_by="serverless_ide", ) .notification( comment="Add 'switch (Elsa::Alonso) { case Elsa::'", method="textDocument/didChange", params={ "textDocument": {"uri": "${php_file_uri}"}, "contentChanges": [ { "range": { "start": {"line": 3, "character": 0}, "end": {"line": 3, "character": 34}, }, "text": "switch (Elsa::Alonso) { case Elsa::", } ], }, ) .request( line=line(), comment="autocomplete after 'switch (Elsa::Alonso) { case Elsa::'", method="textDocument/completion", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 35}, }, result={ "isIncomplete": False, "items": [ { "label": "class", "kind": 21, "detail": "classname<this>", "inlineDetail": "classname<this>", "sortText": "class", "insertText": "class", "insertTextFormat": InsertTextFormat.PlainText.value, "data": { "fullname": "class", "filename": "${root_path}/completion_extras.php", "line": 13, "char": 6, "base_class": "\\Elsa", }, }, { "label": "Bard", "kind": 21, "detail": "Elsa", "inlineDetail": "Elsa", "sortText": "Bard", "insertText": "Bard", "insertTextFormat": InsertTextFormat.PlainText.value, "data": { "fullname": "Bard", "filename": "${root_path}/completion_extras.php", "line": 13, "char": 12, "base_class": "\\Elsa", }, }, { "label": "Alonso", "kind": 21, "detail": "Elsa", "inlineDetail": "Elsa", "sortText": "Alonso", "insertText": "Alonso", "insertTextFormat": InsertTextFormat.PlainText.value, "data": { "fullname": "Alonso", "filename": "${root_path}/completion_extras.php", "line": 13, "char": 12, "base_class": "\\Elsa", }, }, { "label": "isValid", "kind": 2, "detail": "function(mixed $value): bool", "inlineDetail": "(mixed $value)", "itemType": "bool", "sortText": "isValid", "insertText": "isValid(${1:\\$value})", "insertTextFormat": InsertTextFormat.Snippet.value, "data": { "fullname": "isValid", "filename": "${hhi_path}/BuiltinEnum.hhi", "line": 49, "char": 32, "base_class": "\\Elsa", }, }, { "label": "getValues", "kind": 2, "detail": "function(): darray<string, Elsa>", "inlineDetail": "()", "itemType": "darray<string, Elsa>", "sortText": "getValues", "insertText": "getValues()", "insertTextFormat": InsertTextFormat.Snippet.value, "data": { "fullname": "getValues", "filename": "${hhi_path}/BuiltinEnum.hhi", "line": 34, "char": 32, "base_class": "\\Elsa", }, }, { "label": "getNames", "kind": 2, "detail": "function(): darray<Elsa, string>", "inlineDetail": "()", "itemType": "darray<Elsa, string>", "sortText": "getNames", "insertText": "getNames()", "insertTextFormat": InsertTextFormat.Snippet.value, "data": { "fullname": "getNames", "filename": "${hhi_path}/BuiltinEnum.hhi", "line": 43, "char": 32, "base_class": "\\Elsa", }, }, { "label": "coerce", "kind": 2, "detail": "function(mixed $value): ?Elsa", "inlineDetail": "(mixed $value)", "itemType": "?Elsa", "sortText": "coerce", "insertText": "coerce(${1:\\$value})", "insertTextFormat": InsertTextFormat.Snippet.value, "data": { "fullname": "coerce", "filename": "${hhi_path}/BuiltinEnum.hhi", "line": 56, "char": 32, "base_class": "\\Elsa", }, }, { "label": "assertAll", "kind": 2, "detail": "function(Traversable<mixed> $values): Container<Elsa>", "inlineDetail": "(Traversable<mixed> $values)", "itemType": "Container<Elsa>", "sortText": "assertAll", "insertText": "assertAll(${1:\\$values})", "insertTextFormat": InsertTextFormat.Snippet.value, "data": { "fullname": "assertAll", "filename": "${hhi_path}/BuiltinEnum.hhi", "line": 70, "char": 32, "base_class": "\\Elsa", }, }, { "label": "assert", "kind": 2, "detail": "function(mixed $value): Elsa", "inlineDetail": "(mixed $value)", "itemType": "Elsa", "sortText": "assert", "insertText": "assert(${1:\\$value})", "insertTextFormat": InsertTextFormat.Snippet.value, "data": { "fullname": "assert", "filename": "${hhi_path}/BuiltinEnum.hhi", "line": 63, "char": 32, "base_class": "\\Elsa", }, }, ], }, powered_by="serverless_ide", ) .notification( comment="Add 'switch (Elsa::Alonso) { case Elsa::Alonso:'", method="textDocument/didChange", params={ "textDocument": {"uri": "${php_file_uri}"}, "contentChanges": [ { "range": { "start": {"line": 3, "character": 0}, "end": {"line": 3, "character": 35}, }, "text": "switch (Elsa::Alonso) { case Elsa::Alonso:", } ], }, ) .request( line=line(), comment="docblock resolve after 'switch (Elsa::Alonso) { case Elsa::'", method="completionItem/resolve", params={ "label": "isValid", "kind": 2, "detail": "function(mixed $value): bool", "inlineDetail": "(mixed $value)", "itemType": "bool", "insertTextFormat": InsertTextFormat.PlainText.value, "textEdit": { "range": { "start": {"line": 3, "character": 35}, "end": {"line": 3, "character": 35}, }, "newText": "isValid", }, "data": { "filename": "${hhi_path}/BuiltinEnum.hhi", "line": 49, "char": 32, }, }, result={ "label": "isValid", "kind": 2, "detail": "function(mixed $value): bool", "inlineDetail": "(mixed $value)", "itemType": "bool", "documentation": { "kind": "markdown", "value": "Returns whether or not the value is defined as a constant.", }, "insertTextFormat": InsertTextFormat.PlainText.value, "textEdit": { "range": { "start": {"line": 3, "character": 35}, "end": {"line": 3, "character": 35}, }, "newText": "isValid", }, "data": { "filename": "${hhi_path}/BuiltinEnum.hhi", "line": 49, "char": 32, }, }, powered_by="serverless_ide", ) .request( line=line(), comment="autocomplete after 'switch (Elsa::Alonso) { case Elsa::Alonso:'", method="textDocument/completion", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 42}, }, result={"isIncomplete": False, "items": []}, powered_by="serverless_ide", ) .notification( comment="Add 'TestNS\\'", method="textDocument/didChange", params={ "textDocument": {"uri": "${php_file_uri}"}, "contentChanges": [ { "range": { "start": {"line": 3, "character": 0}, "end": {"line": 3, "character": 42}, }, "text": "TestNS\\", } ], }, ) .request( line=line(), comment="autocomplete after 'TestNS\\'", method="textDocument/completion", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 7}, }, result={ "isIncomplete": False, "items": [ { "label": "test_func", "kind": 3, "detail": "function", "inlineDetail": "function", "sortText": "test_func", "insertText": "test_func", "insertTextFormat": InsertTextFormat.PlainText.value, "data": {"fullname": "TestNS\\test_func"}, } ], }, powered_by="serverless_ide", ) .notification( comment="Add '$cc = new CompletionClass(); $cc->interfa'", method="textDocument/didChange", params={ "textDocument": {"uri": "${php_file_uri}"}, "contentChanges": [ { "range": { "start": {"line": 3, "character": 0}, "end": {"line": 3, "character": 7}, }, "text": "$cc = new CompletionClass(); $cc->interfa", } ], }, ) .request( line=line(), comment="autocomplete after '$cc = new CompletionClass(); $cc->interfa'", method="textDocument/completion", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 41}, }, result={ "isIncomplete": False, "items": [ { "label": "interfaceDocBlockMethod", "kind": 2, "detail": "function(): void", "inlineDetail": "()", "itemType": "void", "sortText": "interfaceDocBlockMethod", "insertText": "interfaceDocBlockMethod()", "insertTextFormat": InsertTextFormat.Snippet.value, "data": { "fullname": "interfaceDocBlockMethod", "filename": "${root_path}/completion.php", "line": 18, "char": 19, "base_class": "\\CompletionClass", }, } ], }, powered_by="serverless_ide", ) .request( line=line(), comment="autocomplete resolving after '$cc = new CompletionClass(); $cc->interfa'", method="completionItem/resolve", params={ "label": "interfaceDocBlockMethod", "kind": 2, "detail": "function(): void", "inlineDetail": "()", "itemType": "void", "insertTextFormat": InsertTextFormat.PlainText.value, "textEdit": { "range": { "start": {"line": 3, "character": 34}, "end": {"line": 3, "character": 41}, }, "newText": "interfaceDocBlockMethod", }, "data": { "filename": "${root_path}/completion.php", "line": 18, "char": 19, }, }, result={ "label": "interfaceDocBlockMethod", "kind": 2, "detail": "function(): void", "inlineDetail": "()", "itemType": "void", "insertTextFormat": InsertTextFormat.PlainText.value, "textEdit": { "range": { "start": {"line": 3, "character": 34}, "end": {"line": 3, "character": 41}, }, "newText": "interfaceDocBlockMethod", }, "data": { "filename": "${root_path}/completion.php", "line": 18, "char": 19, }, }, powered_by="serverless_ide", ) .notification( comment="Add 'DeprecatedClass::'", method="textDocument/didChange", params={ "textDocument": {"uri": "${php_file_uri}"}, "contentChanges": [ { "range": { "start": {"line": 3, "character": 0}, "end": {"line": 3, "character": 41}, }, "text": "DeprecatedClass::", } ], }, ) .request( line=line(), comment="autocomplete after 'DeprecatedClass::'", method="textDocument/completion", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 17}, }, result={ "isIncomplete": False, "items": [ { "label": "class", "kind": 21, "detail": "classname<this>", "inlineDetail": "classname<this>", "sortText": "class", "insertText": "class", "insertTextFormat": InsertTextFormat.PlainText.value, "data": { "fullname": "class", "filename": "${root_path}/completion_extras.php", "line": 18, "char": 13, "base_class": "\\DeprecatedClass", }, }, { "label": "test_do_not_use", "kind": 2, "detail": "function(): void", "inlineDetail": "()", "itemType": "void", "sortText": "~test_do_not_use", "insertText": "test_do_not_use()", "insertTextFormat": InsertTextFormat.Snippet.value, "data": { "fullname": "test_do_not_use", "filename": "${root_path}/completion_extras.php", "line": 22, "char": 26, "base_class": "\\DeprecatedClass", }, }, { "label": "getName", "kind": 2, "detail": "function(): void", "inlineDetail": "()", "itemType": "void", "sortText": "getName", "insertText": "getName()", "insertTextFormat": InsertTextFormat.Snippet.value, "data": { "fullname": "getName", "filename": "${root_path}/completion_extras.php", "line": 19, "char": 26, "base_class": "\\DeprecatedClass", }, }, { "label": "getAttributes_DO_NOT_USE", "kind": 2, "detail": "function(): void", "inlineDetail": "()", "itemType": "void", "sortText": "~getAttributes_DO_NOT_USE", "insertText": "getAttributes_DO_NOT_USE()", "insertTextFormat": InsertTextFormat.Snippet.value, "data": { "fullname": "getAttributes_DO_NOT_USE", "filename": "${root_path}/completion_extras.php", "line": 21, "char": 26, "base_class": "\\DeprecatedClass", }, }, { "label": "__getLoader", "kind": 2, "detail": "function(): void", "inlineDetail": "()", "itemType": "void", "sortText": "~__getLoader", "insertText": "__getLoader()", "insertTextFormat": InsertTextFormat.Snippet.value, "data": { "fullname": "__getLoader", "filename": "${root_path}/completion_extras.php", "line": 20, "char": 26, "base_class": "\\DeprecatedClass", }, }, ], }, powered_by="serverless_ide", ) .notification( comment="Add 'call_lambda(3, $m'", method="textDocument/didChange", params={ "textDocument": {"uri": "${php_file_uri}"}, "contentChanges": [ { "range": { "start": {"line": 30, "character": 0}, "end": {"line": 30, "character": 0}, }, "text": " call_lambda(3, $m", } ], }, ) .request( line=line(), comment="autocomplete results for 'call_lambda(3, $m'", method="textDocument/completion", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 30, "character": 19}, }, result={ "isIncomplete": False, "items": [ { "label": "$mylambda", "kind": 6, "detail": "local variable", "inlineDetail": "(num $n)", "itemType": "int", "sortText": "$mylambda", "insertText": "$mylambda", "insertTextFormat": InsertTextFormat.PlainText.value, "data": { "fullname": "$mylambda", "filename": "${root_path}/completion.php", "line": 30, "char": 15, }, } ], }, powered_by="serverless_ide", ) .request( line=line(), comment="resolve autocompletion for $mylambda'", method="completionItem/resolve", params={ "label": "$mylambda", "kind": 6, "detail": "local variable", "inlineDetail": "(num $n)", "itemType": "int", "insertTextFormat": InsertTextFormat.PlainText.value, "textEdit": { "range": { "start": {"line": 30, "character": 17}, "end": {"line": 30, "character": 19}, }, "newText": "$mylambda", }, "data": { "filename": "${root_path}/completion.php", "line": 30, "char": 15, }, }, result={ "label": "$mylambda", "kind": 6, "detail": "local variable", "inlineDetail": "(num $n)", "itemType": "int", "insertTextFormat": InsertTextFormat.PlainText.value, "textEdit": { "range": { "start": {"line": 30, "character": 17}, "end": {"line": 30, "character": 19}, }, "newText": "$mylambda", }, "data": { "filename": "${root_path}/completion.php", "line": 30, "char": 15, }, }, powered_by="serverless_ide", ) .request(line=line(), method="shutdown", params={}, result=None) .notification(method="exit", params={}) ) self.run_spec(spec, variables, wait_for_server=False, use_serverless_ide=True) def test_serverless_ide_completion_legacy(self) -> None: variables = dict(self.prepare_serverless_ide_environment()) variables.update(self.setup_php_file("completion.php")) self.test_driver.stop_hh_server() spec = ( self.initialize_spec( LspTestSpec("serverless_ide_completion_legacy"), use_serverless_ide=True ) .notification( method="textDocument/didOpen", params={ "textDocument": { "uri": "${php_file_uri}", "languageId": "hack", "version": 1, "text": "${php_file}", } }, ) .notification( comment="Add '$x = <'", method="textDocument/didChange", params={ "textDocument": {"uri": "${php_file_uri}"}, "contentChanges": [ { "range": { "start": {"line": 3, "character": 0}, "end": {"line": 3, "character": 0}, }, "text": "$x = <", } ], }, ) .request( line=line(), comment="autocomplete after '$x = <'", method="textDocument/completion", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 6}, }, result={ "isIncomplete": False, "items": [ { "label": "ab:cd:alpha", "kind": 7, "detail": "class", "inlineDetail": "class", "sortText": "ab:cd:alpha", "insertText": "ab:cd:alpha", "insertTextFormat": InsertTextFormat.PlainText.value, "data": {"fullname": ":ab:cd:alpha"}, }, { "label": "ab:cd:text", "kind": 7, "detail": "class", "inlineDetail": "class", "sortText": "ab:cd:text", "insertText": "ab:cd:text", "insertTextFormat": InsertTextFormat.PlainText.value, "data": {"fullname": ":ab:cd:text"}, }, ], }, powered_by="serverless_ide", ) .notification( comment="Add '$x = <a'", method="textDocument/didChange", params={ "textDocument": {"uri": "${php_file_uri}"}, "contentChanges": [ { "range": { "start": {"line": 3, "character": 0}, "end": {"line": 3, "character": 6}, }, "text": "$x = <a", } ], }, ) .request( line=line(), comment="autocomplete after '$x = <a'", method="textDocument/completion", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 7}, }, result={ "isIncomplete": False, "items": [ { "label": "ab:cd:alpha", "kind": 7, "detail": "class", "inlineDetail": "class", "sortText": "ab:cd:alpha", "insertText": "ab:cd:alpha", "insertTextFormat": InsertTextFormat.PlainText.value, "data": {"fullname": ":ab:cd:alpha"}, }, { "label": "ab:cd:text", "kind": 7, "detail": "class", "inlineDetail": "class", "sortText": "ab:cd:text", "insertText": "ab:cd:text", "insertTextFormat": InsertTextFormat.PlainText.value, "data": {"fullname": ":ab:cd:text"}, }, ], }, powered_by="serverless_ide", ) .notification( comment="Add '$x = <ab:'", method="textDocument/didChange", params={ "textDocument": {"uri": "${php_file_uri}"}, "contentChanges": [ { "range": { "start": {"line": 3, "character": 0}, "end": {"line": 3, "character": 7}, }, "text": "$x = <ab:", } ], }, ) .request( line=line(), comment="autocomplete after '$x = <ab:'.", method="textDocument/completion", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 9}, }, result={ "isIncomplete": False, "items": [ { "label": "ab:cd:alpha", "kind": 7, "detail": "class", "inlineDetail": "class", "sortText": "ab:cd:alpha", "insertText": "ab:cd:alpha", "insertTextFormat": InsertTextFormat.PlainText.value, "data": {"fullname": ":ab:cd:alpha"}, }, { "label": "ab:cd:text", "kind": 7, "detail": "class", "inlineDetail": "class", "sortText": "ab:cd:text", "insertText": "ab:cd:text", "insertTextFormat": InsertTextFormat.PlainText.value, "data": {"fullname": ":ab:cd:text"}, }, ], }, powered_by="serverless_ide", ) .notification( comment="Add '$x = <ab:cd:text '", method="textDocument/didChange", params={ "textDocument": {"uri": "${php_file_uri}"}, "contentChanges": [ { "range": { "start": {"line": 3, "character": 0}, "end": {"line": 3, "character": 9}, }, "text": "$x = <ab:cd:text ", } ], }, ) .request( line=line(), comment="autocomplete after '$x = <ab:cd:text '", method="textDocument/completion", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 17}, }, result={ "isIncomplete": False, "items": [ { "label": "width", "kind": 10, "detail": "?int", "inlineDetail": "?int", "sortText": "width", "insertText": "width", "insertTextFormat": InsertTextFormat.PlainText.value, "data": { "fullname": ":width", "filename": "${root_path}/completion_extras.php", "line": 5, "char": 27, "base_class": "\\:ab:cd:text", }, }, { "label": "color", "kind": 10, "detail": "?string", "inlineDetail": "?string", "sortText": "color", "insertText": "color", "insertTextFormat": InsertTextFormat.PlainText.value, "data": { "fullname": ":color", "filename": "${root_path}/completion_extras.php", "line": 5, "char": 13, "base_class": "\\:ab:cd:text", }, }, ], }, powered_by="serverless_ide", ) .notification( comment="Add '$x = <ab:cd:text w'", method="textDocument/didChange", params={ "textDocument": {"uri": "${php_file_uri}"}, "contentChanges": [ { "range": { "start": {"line": 3, "character": 0}, "end": {"line": 3, "character": 17}, }, "text": "$x = <ab:cd:text w", } ], }, ) .request( line=line(), comment="autocomplete after '$x = <ab:cd:text w'", method="textDocument/completion", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 18}, }, result={ "isIncomplete": False, "items": [ { "label": "width", "kind": 10, "detail": "?int", "inlineDetail": "?int", "sortText": "width", "insertText": "width", "insertTextFormat": InsertTextFormat.PlainText.value, "data": { "fullname": ":width", "filename": "${root_path}/completion_extras.php", "line": 5, "char": 27, "base_class": "\\:ab:cd:text", }, }, { "label": "color", "kind": 10, "detail": "?string", "inlineDetail": "?string", "sortText": "color", "insertText": "color", "insertTextFormat": InsertTextFormat.PlainText.value, "data": { "fullname": ":color", "filename": "${root_path}/completion_extras.php", "line": 5, "char": 13, "base_class": "\\:ab:cd:text", }, }, ], }, powered_by="serverless_ide", ) .notification( comment="Add '$x = new :''", method="textDocument/didChange", params={ "textDocument": {"uri": "${php_file_uri}"}, "contentChanges": [ { "range": { "start": {"line": 3, "character": 0}, "end": {"line": 3, "character": 18}, }, "text": "$x = new :", } ], }, ) .request( line=line(), comment="autocomplete after '$x = new :'", method="textDocument/completion", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 10}, }, result={ "isIncomplete": False, "items": [ { "label": ":ab:cd:alpha", "kind": 7, "detail": "class", "inlineDetail": "class", "sortText": ":ab:cd:alpha", "insertText": ":ab:cd:alpha", "insertTextFormat": InsertTextFormat.PlainText.value, "data": {"fullname": ":ab:cd:alpha"}, }, { "label": ":ab:cd:text", "kind": 7, "detail": "class", "inlineDetail": "class", "sortText": ":ab:cd:text", "insertText": ":ab:cd:text", "insertTextFormat": InsertTextFormat.PlainText.value, "data": {"fullname": ":ab:cd:text"}, }, ], }, powered_by="serverless_ide", ) .notification( comment="Add '$x = new :a'", method="textDocument/didChange", params={ "textDocument": {"uri": "${php_file_uri}"}, "contentChanges": [ { "range": { "start": {"line": 3, "character": 0}, "end": {"line": 3, "character": 10}, }, "text": "$x = new :a", } ], }, ) .request( line=line(), comment="autocomplete after '$x = new :a'", method="textDocument/completion", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 11}, }, result={ "isIncomplete": False, "items": [ { "label": ":ab:cd:alpha", "kind": 7, "detail": "class", "inlineDetail": "class", "sortText": ":ab:cd:alpha", "insertText": ":ab:cd:alpha", "insertTextFormat": InsertTextFormat.PlainText.value, "data": {"fullname": ":ab:cd:alpha"}, }, { "label": ":ab:cd:text", "kind": 7, "detail": "class", "inlineDetail": "class", "sortText": ":ab:cd:text", "insertText": ":ab:cd:text", "insertTextFormat": InsertTextFormat.PlainText.value, "data": {"fullname": ":ab:cd:text"}, }, ], }, powered_by="serverless_ide", ) # Note that this request sent should match the result given in the previous example .request( line=line(), comment="autocomplete resolving after '$x = new :a'", method="completionItem/resolve", params={ "label": ":ab:cd:alpha", "kind": 7, "detail": "class", "inlineDetail": "class", "itemType": ":ab:cd:alpha", "insertText": ":ab:cd:alpha", "insertTextFormat": InsertTextFormat.PlainText.value, "data": {"fullname": ":ab:cd:alpha"}, }, result={ "label": ":ab:cd:alpha", "kind": 7, "detail": "class", "inlineDetail": "class", "itemType": ":ab:cd:alpha", "documentation": { "kind": "markdown", "value": ":ab:cd:alpha docblock", }, "insertText": ":ab:cd:alpha", "insertTextFormat": InsertTextFormat.PlainText.value, "data": {"fullname": ":ab:cd:alpha"}, }, powered_by="serverless_ide", ) .notification( comment="Add '$x = <ab:cd:text/>; $y = $x->'", method="textDocument/didChange", params={ "textDocument": {"uri": "${php_file_uri}"}, "contentChanges": [ { "range": { "start": {"line": 3, "character": 0}, "end": {"line": 3, "character": 11}, }, "text": "$x = <ab:cd:text/>; $y = $x->", } ], }, ) .request( line=line(), comment="autocomplete after '$x = <ab:cd:text/>; $y = $x->'", method="textDocument/completion", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 29}, }, result={ "isIncomplete": False, "items": [ { "label": ":width", "kind": 10, "detail": "?int", "inlineDetail": "?int", "sortText": ":width", "insertText": ":width", "insertTextFormat": InsertTextFormat.PlainText.value, "data": { "fullname": ":width", "filename": "${root_path}/completion_extras.php", "line": 5, "char": 27, "base_class": "\\:ab:cd:text", }, }, { "label": ":color", "kind": 10, "detail": "?string", "inlineDetail": "?string", "sortText": ":color", "insertText": ":color", "insertTextFormat": InsertTextFormat.PlainText.value, "data": { "fullname": ":color", "filename": "${root_path}/completion_extras.php", "line": 5, "char": 13, "base_class": "\\:ab:cd:text", }, }, ], }, powered_by="serverless_ide", ) .notification( comment="Add '$x = <ab:cd:text/>; $y = $x->:'", method="textDocument/didChange", params={ "textDocument": {"uri": "${php_file_uri}"}, "contentChanges": [ { "range": { "start": {"line": 3, "character": 0}, "end": {"line": 3, "character": 29}, }, "text": "$x = <ab:cd:text/>; $y = $x->:", } ], }, ) .request( line=line(), comment="autocomplete after '$x = <ab:cd:text/>; $y = $x->:'", method="textDocument/completion", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 30}, }, result={ "isIncomplete": False, "items": [ { "label": ":width", "kind": 10, "detail": "?int", "inlineDetail": "?int", "sortText": ":width", "insertText": ":width", "insertTextFormat": InsertTextFormat.PlainText.value, "data": { "fullname": ":width", "filename": "${root_path}/completion_extras.php", "line": 5, "char": 27, "base_class": "\\:ab:cd:text", }, }, { "label": ":color", "kind": 10, "detail": "?string", "inlineDetail": "?string", "sortText": ":color", "insertText": ":color", "insertTextFormat": InsertTextFormat.PlainText.value, "data": { "fullname": ":color", "filename": "${root_path}/completion_extras.php", "line": 5, "char": 13, "base_class": "\\:ab:cd:text", }, }, ], }, powered_by="serverless_ide", ) .notification( comment="Add 'test_fun'", method="textDocument/didChange", params={ "textDocument": {"uri": "${php_file_uri}"}, "contentChanges": [ { "range": { "start": {"line": 3, "character": 0}, "end": {"line": 3, "character": 30}, }, "text": "test_fun", } ], }, ) .request( line=line(), comment="autocomplete after 'test_fun'", method="textDocument/completion", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 8}, }, result={ "isIncomplete": False, "items": [ { "label": "test_function", "kind": 3, "detail": "function", "inlineDetail": "function", "sortText": "test_function", "insertText": "test_function", "insertTextFormat": InsertTextFormat.PlainText.value, "data": {"fullname": "test_function"}, } ], }, powered_by="serverless_ide", ) .request( line=line(), comment="autocomplete resolving after 'test_fun'", method="completionItem/resolve", params={ "label": "test_function", "kind": 3, "detail": "function(): void", "inlineDetail": "()", "itemType": "void", "insertText": "test_function", "insertTextFormat": InsertTextFormat.PlainText.value, "data": { "filename": "${root_path}/completion.php", "line": 8, "char": 10, }, }, result={ "label": "test_function", "kind": 3, "detail": "function(): void", "inlineDetail": "()", "itemType": "void", "documentation": { "kind": "markdown", "value": "test_function docblock.", }, "insertText": "test_function", "insertTextFormat": InsertTextFormat.PlainText.value, "data": { "filename": "${root_path}/completion.php", "line": 8, "char": 10, }, }, powered_by="serverless_ide", ) .notification( comment="Add 'switch (Elsa::Alonso) { case Elsa:'", method="textDocument/didChange", params={ "textDocument": {"uri": "${php_file_uri}"}, "contentChanges": [ { "range": { "start": {"line": 3, "character": 0}, "end": {"line": 3, "character": 8}, }, "text": "switch (Elsa::Alonso) { case Elsa:", } ], }, ) .request( line=line(), comment="autocomplete after 'switch (Elsa::Alonso) { case Elsa:'", method="textDocument/completion", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 34}, }, result={"isIncomplete": False, "items": []}, powered_by="serverless_ide", ) .notification( comment="Add 'switch (Elsa::Alonso) { case Elsa::'", method="textDocument/didChange", params={ "textDocument": {"uri": "${php_file_uri}"}, "contentChanges": [ { "range": { "start": {"line": 3, "character": 0}, "end": {"line": 3, "character": 34}, }, "text": "switch (Elsa::Alonso) { case Elsa::", } ], }, ) .request( line=line(), comment="autocomplete after 'switch (Elsa::Alonso) { case Elsa::'", method="textDocument/completion", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 35}, }, result={ "isIncomplete": False, "items": [ { "label": "class", "kind": 21, "detail": "classname<this>", "inlineDetail": "classname<this>", "sortText": "class", "insertText": "class", "insertTextFormat": InsertTextFormat.PlainText.value, "data": { "fullname": "class", "filename": "${root_path}/completion_extras.php", "line": 13, "char": 6, "base_class": "\\Elsa", }, }, { "label": "Bard", "kind": 21, "detail": "Elsa", "inlineDetail": "Elsa", "sortText": "Bard", "insertText": "Bard", "insertTextFormat": InsertTextFormat.PlainText.value, "data": { "fullname": "Bard", "filename": "${root_path}/completion_extras.php", "line": 13, "char": 12, "base_class": "\\Elsa", }, }, { "label": "Alonso", "kind": 21, "detail": "Elsa", "inlineDetail": "Elsa", "sortText": "Alonso", "insertText": "Alonso", "insertTextFormat": InsertTextFormat.PlainText.value, "data": { "fullname": "Alonso", "filename": "${root_path}/completion_extras.php", "line": 13, "char": 12, "base_class": "\\Elsa", }, }, { "label": "isValid", "kind": 2, "detail": "function(mixed $value): bool", "inlineDetail": "(mixed $value)", "itemType": "bool", "sortText": "isValid", "insertText": "isValid(${1:\\$value})", "insertTextFormat": InsertTextFormat.Snippet.value, "data": { "fullname": "isValid", "filename": "${hhi_path}/BuiltinEnum.hhi", "line": 49, "char": 32, "base_class": "\\Elsa", }, }, { "label": "getValues", "kind": 2, "detail": "function(): darray<string, Elsa>", "inlineDetail": "()", "itemType": "darray<string, Elsa>", "sortText": "getValues", "insertText": "getValues()", "insertTextFormat": InsertTextFormat.Snippet.value, "data": { "fullname": "getValues", "filename": "${hhi_path}/BuiltinEnum.hhi", "line": 34, "char": 32, "base_class": "\\Elsa", }, }, { "label": "getNames", "kind": 2, "detail": "function(): darray<Elsa, string>", "inlineDetail": "()", "itemType": "darray<Elsa, string>", "sortText": "getNames", "insertText": "getNames()", "insertTextFormat": InsertTextFormat.Snippet.value, "data": { "fullname": "getNames", "filename": "${hhi_path}/BuiltinEnum.hhi", "line": 43, "char": 32, "base_class": "\\Elsa", }, }, { "label": "coerce", "kind": 2, "detail": "function(mixed $value): ?Elsa", "inlineDetail": "(mixed $value)", "itemType": "?Elsa", "sortText": "coerce", "insertText": "coerce(${1:\\$value})", "insertTextFormat": InsertTextFormat.Snippet.value, "data": { "fullname": "coerce", "filename": "${hhi_path}/BuiltinEnum.hhi", "line": 56, "char": 32, "base_class": "\\Elsa", }, }, { "label": "assertAll", "kind": 2, "detail": "function(Traversable<mixed> $values): Container<Elsa>", "inlineDetail": "(Traversable<mixed> $values)", "itemType": "Container<Elsa>", "sortText": "assertAll", "insertText": "assertAll(${1:\\$values})", "insertTextFormat": InsertTextFormat.Snippet.value, "data": { "fullname": "assertAll", "filename": "${hhi_path}/BuiltinEnum.hhi", "line": 70, "char": 32, "base_class": "\\Elsa", }, }, { "label": "assert", "kind": 2, "detail": "function(mixed $value): Elsa", "inlineDetail": "(mixed $value)", "itemType": "Elsa", "sortText": "assert", "insertText": "assert(${1:\\$value})", "insertTextFormat": InsertTextFormat.Snippet.value, "data": { "fullname": "assert", "filename": "${hhi_path}/BuiltinEnum.hhi", "line": 63, "char": 32, "base_class": "\\Elsa", }, }, ], }, powered_by="serverless_ide", ) .notification( comment="Add 'switch (Elsa::Alonso) { case Elsa::Alonso:'", method="textDocument/didChange", params={ "textDocument": {"uri": "${php_file_uri}"}, "contentChanges": [ { "range": { "start": {"line": 3, "character": 0}, "end": {"line": 3, "character": 35}, }, "text": "switch (Elsa::Alonso) { case Elsa::Alonso:", } ], }, ) .request( line=line(), comment="autocomplete after 'switch (Elsa::Alonso) { case Elsa::Alonso:'", method="textDocument/completion", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 42}, }, result={"isIncomplete": False, "items": []}, powered_by="serverless_ide", ) .notification( comment="Add 'DeprecatedClass::'", method="textDocument/didChange", params={ "textDocument": {"uri": "${php_file_uri}"}, "contentChanges": [ { "range": { "start": {"line": 3, "character": 0}, "end": {"line": 3, "character": 41}, }, "text": "DeprecatedClass::", } ], }, ) .request( line=line(), comment="autocomplete after 'DeprecatedClass::'", method="textDocument/completion", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 17}, }, result={ "isIncomplete": False, "items": [ { "label": "class", "kind": 21, "detail": "classname<this>", "inlineDetail": "classname<this>", "sortText": "class", "insertText": "class", "insertTextFormat": InsertTextFormat.PlainText.value, "data": { "fullname": "class", "filename": "${root_path}/completion_extras.php", "line": 18, "char": 13, "base_class": "\\DeprecatedClass", }, }, { "label": "test_do_not_use", "kind": 2, "detail": "function(): void", "inlineDetail": "()", "itemType": "void", "sortText": "~test_do_not_use", "insertText": "test_do_not_use()", "insertTextFormat": InsertTextFormat.Snippet.value, "data": { "fullname": "test_do_not_use", "filename": "${root_path}/completion_extras.php", "line": 22, "char": 26, "base_class": "\\DeprecatedClass", }, }, { "label": "getName", "kind": 2, "detail": "function(): void", "inlineDetail": "()", "itemType": "void", "sortText": "getName", "insertText": "getName()", "insertTextFormat": InsertTextFormat.Snippet.value, "data": { "fullname": "getName", "filename": "${root_path}/completion_extras.php", "line": 19, "char": 26, "base_class": "\\DeprecatedClass", }, }, { "label": "getAttributes_DO_NOT_USE", "kind": 2, "detail": "function(): void", "inlineDetail": "()", "itemType": "void", "sortText": "~getAttributes_DO_NOT_USE", "insertText": "getAttributes_DO_NOT_USE()", "insertTextFormat": InsertTextFormat.Snippet.value, "data": { "fullname": "getAttributes_DO_NOT_USE", "filename": "${root_path}/completion_extras.php", "line": 21, "char": 26, "base_class": "\\DeprecatedClass", }, }, { "label": "__getLoader", "kind": 2, "detail": "function(): void", "inlineDetail": "()", "itemType": "void", "sortText": "~__getLoader", "insertText": "__getLoader()", "insertTextFormat": InsertTextFormat.Snippet.value, "data": { "fullname": "__getLoader", "filename": "${root_path}/completion_extras.php", "line": 20, "char": 26, "base_class": "\\DeprecatedClass", }, }, ], }, powered_by="serverless_ide", ) .request(line=line(), method="shutdown", params={}, result=None) .notification(method="exit", params={}) ) self.run_spec(spec, variables, wait_for_server=False, use_serverless_ide=True) def test_serverless_ide_definition(self) -> None: variables = dict(self.prepare_serverless_ide_environment()) variables.update(self.setup_php_file("definition.php")) self.test_driver.stop_hh_server() spec = ( self.initialize_spec( LspTestSpec("serverless_ide_definition"), use_serverless_ide=True ) .notification( method="textDocument/didOpen", params={ "textDocument": { "uri": "${php_file_uri}", "languageId": "hack", "version": 1, "text": "${php_file}", } }, ) .request( line=line(), comment="call to `b_definition`", method="textDocument/definition", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 10}, }, result=[ { "uri": "file://${root_path}/definition.php", "range": { "start": {"line": 6, "character": 9}, "end": {"line": 6, "character": 21}, }, "title": "b_definition", } ], powered_by="serverless_ide", ) .request( line=line(), comment="call to `new BB(1)`", method="textDocument/definition", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 29, "character": 13}, }, result=[ { "uri": "file://${root_path}/definition.php", "range": { "start": {"line": 11, "character": 18}, "end": {"line": 11, "character": 29}, }, "title": "BB::__construct", } ], powered_by="serverless_ide", ) .request( line=line(), comment="call to `new CC(1)`", method="textDocument/definition", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 30, "character": 13}, }, result=[ { "uri": "file://${root_path}/definition.php", "range": { "start": {"line": 14, "character": 6}, "end": {"line": 14, "character": 8}, }, "title": "CC", }, { "uri": "file://${root_path}/definition.php", "range": { "start": {"line": 11, "character": 18}, "end": {"line": 11, "character": 29}, }, "title": "BB::__construct", }, ], powered_by="serverless_ide", ) .request( line=line(), comment="call to `new DD(1)`", method="textDocument/definition", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 31, "character": 13}, }, result=[ { "uri": "file://${root_path}/definition.php", "range": { "start": {"line": 17, "character": 6}, "end": {"line": 17, "character": 8}, }, "title": "DD", }, { "uri": "file://${root_path}/definition.php", "range": { "start": {"line": 11, "character": 18}, "end": {"line": 11, "character": 29}, }, "title": "BB::__construct", }, ], powered_by="serverless_ide", ) .request( line=line(), comment="call to `new EE(1)`", method="textDocument/definition", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 32, "character": 13}, }, result=[ { "uri": "file://${root_path}/definition.php", "range": { "start": {"line": 21, "character": 18}, "end": {"line": 21, "character": 29}, }, "title": "EE::__construct", } ], powered_by="serverless_ide", ) .request( line=line(), comment="call to `new FF(1)`", method="textDocument/definition", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 33, "character": 13}, }, result=[ { "uri": "file://${root_path}/definition.php", "range": { "start": {"line": 26, "character": 6}, "end": {"line": 26, "character": 8}, }, "title": "FF", } ], powered_by="serverless_ide", ) .request( line=line(), comment="call to `new TakesString(HasString::MyString)`", method="textDocument/definition", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 45, "character": 23}, }, result=[ { "uri": "file://${root_path}/definition.php", "range": { "start": {"line": 40, "character": 6}, "end": {"line": 40, "character": 15}, }, "title": "HasString", } ], powered_by="serverless_ide", ) .notification( comment="make local, unsaved change to the file", method="textDocument/didChange", params={ "textDocument": {"uri": "${php_file_uri}", "version": 2}, "contentChanges": [ { "text": "test", "range": { "start": {"line": 3, "character": 9}, "end": {"line": 3, "character": 21}, }, } ], }, ) .request( line=line(), comment="call to `test` instead of `b_definition`", method="textDocument/definition", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 10}, }, result=[ { "uri": "file://${root_path}/definition.php", "range": { "start": {"line": 28, "character": 9}, "end": {"line": 28, "character": 13}, }, "title": "test", } ], powered_by="serverless_ide", ) .request(line=line(), method="shutdown", params={}, result=None) .notification(method="exit", params={}) ) self.run_spec(spec, variables, wait_for_server=False, use_serverless_ide=True) def test_serverless_ide_overridden_definition(self) -> None: variables = dict(self.prepare_serverless_ide_environment()) variables.update(self.setup_php_file("override.php")) self.test_driver.stop_hh_server() spec = ( self.initialize_spec( LspTestSpec("serverless_ide_overridden_definition"), use_serverless_ide=True, ) .notification( method="textDocument/didOpen", params={ "textDocument": { "uri": "${php_file_uri}", "languageId": "hack", "version": 1, "text": "${php_file}", } }, ) .request( line=line(), comment="find overridden method from trait. It's arbitrary which one we pick. This test embodies current (alphabetical) implementation.", method="textDocument/definition", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 13, "character": 5}, }, result=[ { "uri": "file://${root_path}/override.php", "range": { "start": {"line": 7, "character": 18}, "end": {"line": 7, "character": 21}, }, "title": "MyTrait::foo", } ], powered_by="serverless_ide", ) .request( line=line(), comment="find overridden static method. It's arbitrary which one we pick. This test embodies current (alphabetical) implementation.", method="textDocument/definition", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 26, "character": 5}, }, result=[ { "uri": "file://${root_path}/override.php", "range": { "start": {"line": 23, "character": 25}, "end": {"line": 23, "character": 28}, }, "title": "C2::bar", } ], powered_by="serverless_ide", ) .request( line=line(), comment="find overridden interface method", method="textDocument/definition", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 35, "character": 5}, }, result=[ { "uri": "file://${root_path}/override.php", "range": { "start": {"line": 32, "character": 18}, "end": {"line": 32, "character": 22}, }, "title": "I1::quux", } ], powered_by="serverless_ide", ) .request(line=line(), method="shutdown", params={}, result=None) .notification(method="exit", params={}) ) self.run_spec(spec, variables, wait_for_server=False, use_serverless_ide=True) def test_serverless_ide_document_symbol(self) -> None: variables = dict(self.prepare_serverless_ide_environment()) variables.update(self.setup_php_file("definition.php")) self.test_driver.stop_hh_server() spec = ( self.initialize_spec( LspTestSpec("serverless_ide_document_symbol"), use_serverless_ide=True ) .notification( method="textDocument/didOpen", params={ "textDocument": { "uri": "${php_file_uri}", "languageId": "hack", "version": 1, "text": "${php_file}", } }, ) .request( line=line(), comment="documentSymbol call", method="textDocument/documentSymbol", params={"textDocument": {"uri": "${php_file_uri}"}}, result=[ { "name": "testClassMemberInsideConstructorInvocation", "kind": 12, "location": { "uri": "file://${root_path}/definition.php", "range": { "start": {"line": 44, "character": 0}, "end": {"line": 46, "character": 1}, }, }, }, { "name": "MyString", "kind": 14, "location": { "uri": "file://${root_path}/definition.php", "range": { "start": {"line": 41, "character": 8}, "end": {"line": 41, "character": 29}, }, }, "containerName": "HasString", }, { "name": "HasString", "kind": 5, "location": { "uri": "file://${root_path}/definition.php", "range": { "start": {"line": 40, "character": 0}, "end": {"line": 42, "character": 1}, }, }, }, { "name": "__construct", "kind": 6, "location": { "uri": "file://${root_path}/definition.php", "range": { "start": {"line": 37, "character": 2}, "end": {"line": 37, "character": 43}, }, }, "containerName": "TakesString", }, { "name": "TakesString", "kind": 5, "location": { "uri": "file://${root_path}/definition.php", "range": { "start": {"line": 36, "character": 0}, "end": {"line": 38, "character": 1}, }, }, }, { "name": "FF", "kind": 5, "location": { "uri": "file://${root_path}/definition.php", "range": { "start": {"line": 26, "character": 0}, "end": {"line": 26, "character": 11}, }, }, }, { "name": "__construct", "kind": 6, "location": { "uri": "file://${root_path}/definition.php", "range": { "start": {"line": 21, "character": 2}, "end": {"line": 23, "character": 3}, }, }, "containerName": "EE", }, { "name": "EE", "kind": 5, "location": { "uri": "file://${root_path}/definition.php", "range": { "start": {"line": 20, "character": 0}, "end": {"line": 24, "character": 1}, }, }, }, { "name": "CC", "kind": 5, "location": { "uri": "file://${root_path}/definition.php", "range": { "start": {"line": 14, "character": 0}, "end": {"line": 15, "character": 1}, }, }, }, { "name": "__construct", "kind": 6, "location": { "uri": "file://${root_path}/definition.php", "range": { "start": {"line": 11, "character": 2}, "end": {"line": 11, "character": 40}, }, }, "containerName": "BB", }, { "name": "BB", "kind": 5, "location": { "uri": "file://${root_path}/definition.php", "range": { "start": {"line": 10, "character": 0}, "end": {"line": 12, "character": 1}, }, }, }, { "name": "a_definition", "kind": 12, "location": { "uri": "file://${root_path}/definition.php", "range": { "start": {"line": 2, "character": 0}, "end": {"line": 4, "character": 1}, }, }, }, { "name": "b_definition", "kind": 12, "location": { "uri": "file://${root_path}/definition.php", "range": { "start": {"line": 6, "character": 0}, "end": {"line": 8, "character": 1}, }, }, }, { "name": "DD", "kind": 5, "location": { "uri": "file://${root_path}/definition.php", "range": { "start": {"line": 17, "character": 0}, "end": {"line": 18, "character": 1}, }, }, }, { "name": "test", "kind": 12, "location": { "uri": "file://${root_path}/definition.php", "range": { "start": {"line": 28, "character": 0}, "end": {"line": 34, "character": 1}, }, }, }, ], powered_by="serverless_ide", ) .request(line=line(), method="shutdown", params={}, result=None) .notification(method="exit", params={}) ) self.run_spec(spec, variables, wait_for_server=False, use_serverless_ide=True) def initialize_spec( self, spec: LspTestSpec, use_serverless_ide: bool, supports_status: bool = False, # does the caller wish to see all status messages? supports_init: bool = False, # do we wish to interact with init, rather than waiting for init ok? ) -> LspTestSpec: if use_serverless_ide: initialization_options = { "namingTableSavedStatePath": "${naming_table_saved_state_path}", "namingTableSavedStateTestDelay": 0.0, } if supports_init: # A small delay, since otherwise init completes immediately # This isn't very racy. All we need is a tiny delay so that # other things which are in the queue get processed, rather # than continuing synchronously initialization_options["namingTableSavedStateTestDelay"] = 0.5 else: initialization_options = {} window_capabilities = {} if supports_status: window_capabilities["status"] = {"dynamicRegistration": False} spec = spec.ignore_notifications(method="telemetry/event").request( line=line(), method="initialize", params={ "initializationOptions": initialization_options, "processId": None, "rootPath": "${root_path}", "capabilities": { "window": window_capabilities, "textDocument": { "completion": {"completionItem": {"snippetSupport": True}} }, }, }, result={ "capabilities": { "textDocumentSync": { "openClose": True, "change": 2, "willSave": False, "willSaveWaitUntil": False, "save": {"includeText": False}, }, "hoverProvider": True, "completionProvider": { "resolveProvider": True, "triggerCharacters": ["$", ">", "\\", ":", "<", "[", "'", '"'], }, "signatureHelpProvider": {"triggerCharacters": ["(", ","]}, "definitionProvider": True, "typeDefinitionProvider": True, "referencesProvider": True, "documentHighlightProvider": True, "documentSymbolProvider": True, "workspaceSymbolProvider": True, "codeActionProvider": False, "documentFormattingProvider": True, "documentRangeFormattingProvider": True, "documentOnTypeFormattingProvider": { "firstTriggerCharacter": ";", "moreTriggerCharacter": ["}"], }, "renameProvider": True, "implementationProvider": True, "typeCoverageProvider": True, "rageProvider": True, } }, ) if use_serverless_ide: spec = spec.wait_for_server_request( method="client/registerCapability", params={ "registrations": [ { "id": "did-change-watched-files", "method": "workspace/didChangeWatchedFiles", "registerOptions": { "watchers": [{"globPattern": "**", "kind": 7}] }, } ] }, result=None, ) if not supports_status: spec = spec.ignore_status_diagnostics(True) if use_serverless_ide and not supports_init: spec = spec.wait_for_notification( comment="wait for sIDE to finish init", method="telemetry/event", params={"type": 4, "message": "[client-ide] Finished init: ok"}, ) return spec def test_serverless_ide_type_definition(self) -> None: variables = dict(self.prepare_serverless_ide_environment()) variables.update(self.setup_php_file("type_definition.php")) self.test_driver.stop_hh_server() spec = ( self.initialize_spec( LspTestSpec("serverless_ide_type_definition"), use_serverless_ide=True ) .notification( method="textDocument/didOpen", params={ "textDocument": { "uri": "${php_file_uri}", "languageId": "hack", "version": 1, "text": "${php_file}", } }, ) .request( line=line(), comment="Conditional Type Definition of HH or II", method="textDocument/typeDefinition", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 32, "character": 2}, }, result=[ { "uri": "${php_file_uri}", "range": { "start": {"line": 2, "character": 6}, "end": {"line": 2, "character": 8}, }, "title": "\\HH", }, { "uri": "${php_file_uri}", "range": { "start": {"line": 12, "character": 6}, "end": {"line": 12, "character": 8}, }, "title": "\\LL", }, ], powered_by="serverless_ide", ) .request( line=line(), comment="Standard Class Definition", method="textDocument/typeDefinition", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 40, "character": 2}, }, result=[ { "uri": "${php_file_uri}", "range": { "start": {"line": 2, "character": 6}, "end": {"line": 2, "character": 8}, }, "title": "\\HH", } ], powered_by="serverless_ide", ) .request( line=line(), comment="Class Type Definition with Casting", method="textDocument/typeDefinition", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 41, "character": 2}, }, result=[ { "uri": "${php_file_uri}", "range": { "start": {"line": 2, "character": 6}, "end": {"line": 2, "character": 8}, }, "title": "\\HH", } ], powered_by="serverless_ide", ) .request( line=line(), comment="Primitive Type Definition", method="textDocument/typeDefinition", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 42, "character": 2}, }, result=[], powered_by="serverless_ide", ) .request( line=line(), comment="Function Return Type Definition", method="textDocument/typeDefinition", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 43, "character": 2}, }, result=[ { "uri": "${php_file_uri}", "range": { "start": {"line": 12, "character": 6}, "end": {"line": 12, "character": 8}, }, "title": "\\LL", } ], powered_by="serverless_ide", ) .request( line=line(), comment="Function definition with primitive return type", method="textDocument/typeDefinition", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 44, "character": 2}, }, result=[ { "uri": "${php_file_uri}", "range": { "start": {"line": 22, "character": 9}, "end": {"line": 22, "character": 29}, }, "title": "(function(): int)", } ], powered_by="serverless_ide", ) .request(line=line(), method="shutdown", params={}, result=None) .notification(method="exit", params={}) ) self.run_spec(spec, variables, wait_for_server=False, use_serverless_ide=True) def test_serverless_ide_hover(self) -> None: variables = dict(self.prepare_serverless_ide_environment()) variables.update(self.setup_php_file("hover.php")) self.test_driver.stop_hh_server() spec = ( self.initialize_spec( LspTestSpec("serverless_ide_hover"), use_serverless_ide=True ) .notification( method="textDocument/didOpen", params={ "textDocument": { "uri": "${php_file_uri}", "languageId": "hack", "version": 1, "text": "${php_file}", } }, ) .request( line=line(), comment="hover over function invocation", method="textDocument/hover", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 16}, }, result={ "contents": [ {"language": "hack", "value": "int"}, "A comment describing b_hover.", ], "range": { "start": {"line": 3, "character": 9}, "end": {"line": 3, "character": 16}, }, }, powered_by="serverless_ide", ) .request( line=line(), comment="hover over string literal outside call", method="textDocument/hover", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 25, "character": 12}, # 9 - 16 }, result={"contents": [{"language": "hack", "value": "string"}]}, powered_by="serverless_ide", ) .request( line=line(), comment="hover over string literal inside call", method="textDocument/hover", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 26, "character": 20}, # 16 - 29 }, result={"contents": [{"language": "hack", "value": "string"}]}, powered_by="serverless_ide", ) .request( line=line(), comment="hover over int literal inside call", method="textDocument/hover", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 26, "character": 32}, # 31 - 33 }, result={"contents": [{"language": "hack", "value": "int"}]}, powered_by="serverless_ide", ) .request( line=line(), comment="hover over constant reference", method="textDocument/hover", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 15, "character": 19}, }, result={ "contents": [ {"language": "hack", "value": "THE_ANSWER"}, "A comment describing THE_ANSWER", "int THE_ANSWER = 42", ], "range": { "start": {"line": 15, "character": 9}, "end": {"line": 15, "character": 19}, }, }, powered_by="serverless_ide", ) .request( line=line(), comment="hover over whitespace", method="textDocument/hover", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 1}, }, result=None, powered_by="serverless_ide", ) .request( line=line(), comment="hover over a keyword", method="textDocument/hover", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 2, "character": 1}, }, result=None, powered_by="serverless_ide", ) .request( line=line(), comment="hover over a comment", method="textDocument/hover", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 1, "character": 4}, }, result=None, powered_by="serverless_ide", ) .request( line=line(), comment="hover past the end of a line", method="textDocument/hover", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 100}, }, result=None, powered_by="serverless_ide", ) .request( line=line(), comment="hover past the end of a file", method="textDocument/hover", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 300, "character": 0}, }, result=None, powered_by="serverless_ide", ) .request( line=line(), comment="hover over class with copyright docblock", method="textDocument/hover", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 37, "character": 15}, }, result={ "contents": [ {"language": "hack", "value": "final class CopyrightClass"}, "Testing copyright removal", ], "range": { "start": {"line": 37, "character": 2}, "end": {"line": 37, "character": 16}, }, }, powered_by="serverless_ide", ) .request( line=line(), comment="hover over class with generated docblock", method="textDocument/hover", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 58, "character": 15}, }, result={ "contents": [ {"language": "hack", "value": "final class GeneratedClass"}, "Testing generated text removal", ], "range": { "start": {"line": 58, "character": 2}, "end": {"line": 58, "character": 16}, }, }, powered_by="serverless_ide", ) .request(line=line(), method="shutdown", params={}, result=None) .notification(method="exit", params={}) ) self.run_spec(spec, variables, wait_for_server=False, use_serverless_ide=True) def test_serverless_ide_file_touched_on_disk(self) -> None: variables = dict(self.prepare_serverless_ide_environment()) variables.update(self.setup_php_file("hover.php")) self.test_driver.stop_hh_server() spec = ( self.initialize_spec( LspTestSpec("serverless_ide_file_on_disk_change"), use_serverless_ide=True, ) .notification( method="textDocument/didOpen", params={ "textDocument": { "uri": "${php_file_uri}", "languageId": "hack", "version": 1, "text": "${php_file}", } }, ) .notification( method="workspace/didChangeWatchedFiles", params={"changes": [{"uri": "${php_file_uri}", "type": 2}]}, ) .wait_for_notification( comment="wait for sIDE to process file change", method="telemetry/event", params={ "type": 4, "message": "[client-ide] Done processing file changes", }, ) .request( line=line(), method="textDocument/hover", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 16}, }, result={ "contents": [ {"language": "hack", "value": "int"}, "A comment describing b_hover.", ], "range": { "start": {"line": 3, "character": 9}, "end": {"line": 3, "character": 16}, }, }, powered_by="serverless_ide", ) .request(line=line(), method="shutdown", params={}, result=None) .notification(method="exit", params={}) ) self.run_spec(spec, variables, wait_for_server=False, use_serverless_ide=True) def test_serverless_ide_file_hover_with_errors(self) -> None: variables = dict(self.prepare_serverless_ide_environment()) variables.update(self.setup_php_file("hover_with_errors.php")) self.test_driver.stop_hh_server() spec = ( self.initialize_spec( LspTestSpec("serverless_ide_hover_with_errors"), use_serverless_ide=True ) .notification( method="textDocument/didOpen", params={ "textDocument": { "uri": "${php_file_uri}", "languageId": "hack", "version": 1, "text": "${php_file}", } }, ) .notification( method="workspace/didChangeWatchedFiles", params={"changes": [{"uri": "${php_file_uri}", "type": 2}]}, ) .wait_for_notification( comment="wait for sIDE to process file change", method="telemetry/event", params={ "type": 4, "message": "[client-ide] Done processing file changes", }, ) .request( line=line(), comment="Totally normal hover", method="textDocument/hover", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 14, "character": 37}, }, result={ "contents": [ { "language": "hack", "value": "public static function staticMethod(string $z): void", }, 'During testing, we\'ll remove the "public" tag from this ' "method\n" "to ensure that we can still get IDE services", "Return type: `void`", "Full name: `HoverWithErrorsClass::staticMethod`", ], "range": { "end": {"character": 39, "line": 14}, "start": {"character": 27, "line": 14}, }, }, powered_by="serverless_ide", ) .notification( comment="Remove the 'public' visibility modifier which triggers AST->AAST errors", method="textDocument/didChange", params={ "textDocument": {"uri": "${php_file_uri}"}, "contentChanges": [ { "range": { "start": {"line": 10, "character": 2}, "end": {"line": 10, "character": 8}, }, "text": "", } ], }, ) .request( line=line(), comment="Hover should still work even if visibility modifier has been removed", method="textDocument/hover", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 14, "character": 37}, }, result={ "contents": [ { "language": "hack", "value": "public static function staticMethod(string $z): void", }, 'During testing, we\'ll remove the "public" tag from this ' "method\n" "to ensure that we can still get IDE services", "Return type: `void`", "Full name: `HoverWithErrorsClass::staticMethod`", ], "range": { "end": {"character": 39, "line": 14}, "start": {"character": 27, "line": 14}, }, }, powered_by="serverless_ide", ) .request(line=line(), method="shutdown", params={}, result=None) .notification(method="exit", params={}) ) self.run_spec(spec, variables, wait_for_server=False, use_serverless_ide=True) def test_serverless_ide_formatting(self) -> None: # This test will fail if hackfmt can't be found if not self.test_driver.run_hackfmt_check(): raise unittest.SkipTest("Hackfmt can't be found. Skipping.") variables = dict(self.prepare_serverless_ide_environment()) variables.update(self.setup_php_file("messy.php")) self.test_driver.stop_hh_server() spec = ( self.initialize_spec(LspTestSpec("formatting"), use_serverless_ide=True) .notification( method="textDocument/didOpen", params={ "textDocument": { "uri": "${php_file_uri}", "languageId": "hack", "version": 1, "text": "${php_file}", } }, ) .request( line=line(), method="textDocument/formatting", params={ "textDocument": {"uri": "${php_file_uri}"}, "options": {"tabSize": 5, "insertSpaces": True}, }, result=[ { "range": { "start": {"line": 0, "character": 0}, "end": {"line": 15, "character": 0}, }, "newText": "<?hh //strict\n\nfunction x(): string {\n" + " /* @lint-ignore TXT2 3 tabs on purpose */\n" + ' $a = "this";\n\n' + " /* @lint-ignore TXT2 2 tabs on purpose */\n" + ' $b = "is";\n\n' + " /* lint-ignore TXT2 1 tab on purpose */\n" + ' $c = "messy"; // 1 tab\n\n' + ' $d = "."; // 4 spaces\n' + ' return "$a"."$b"."$c"."d";\n}\n', } ], ) .request(line=line(), method="shutdown", params={}, result=None) .notification(method="exit", params={}) ) self.run_spec(spec, variables, wait_for_server=False, use_serverless_ide=True) def test_serverless_ide_rangeformatting(self) -> None: # This test will fail if hackfmt can't be found if not self.test_driver.run_hackfmt_check(): raise unittest.SkipTest("Hackfmt can't be found. Skipping.") variables = dict(self.prepare_serverless_ide_environment()) variables.update(self.setup_php_file("messy.php")) self.test_driver.stop_hh_server() spec = ( self.initialize_spec( LspTestSpec("range_formatting"), use_serverless_ide=True ) .notification( method="textDocument/didOpen", params={ "textDocument": { "uri": "${php_file_uri}", "languageId": "hack", "version": 1, "text": "${php_file}", } }, ) .request( line=line(), method="textDocument/rangeFormatting", params={ "textDocument": {"uri": "${php_file_uri}"}, "range": { "start": {"line": 4, "character": 0}, "end": {"line": 5, "character": 0}, }, "options": {"tabSize": 5, "insertSpaces": True}, }, result=[ { "range": { "start": {"line": 4, "character": 0}, "end": {"line": 5, "character": 0}, }, "newText": ' $a = "this";\n', } ], ) .request(line=line(), method="shutdown", params={}, result=None) .notification(method="exit", params={}) ) self.run_spec(spec, variables, wait_for_server=False, use_serverless_ide=True) def test_serverless_ide_ontypeformatting(self) -> None: # This test will fail if hackfmt can't be found if not self.test_driver.run_hackfmt_check(): raise unittest.SkipTest("Hackfmt can't be found. Skipping.") variables = dict(self.prepare_serverless_ide_environment()) variables.update(self.setup_php_file("ontypeformatting.php")) spec = ( self.initialize_spec( LspTestSpec("ontypeformatting"), use_serverless_ide=True ) .notification( method="textDocument/didOpen", params={ "textDocument": { "uri": "${php_file_uri}", "languageId": "hack", "version": 1, "text": "${php_file}", } }, ) .request( line=line(), method="textDocument/onTypeFormatting", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 9, "character": 58}, "ch": ";", "options": {"tabSize": 2, "insertSpaces": True}, }, result=[ { "range": { "start": {"line": 5, "character": 17}, "end": {"line": 9, "character": 58}, }, "newText": "{\n test_otf(\n" + " '1234567890',\n" + " '1234567890',\n" + " '1234567890',\n" + " '1234567890',\n" + " '1234567890',\n" + " '1234567890',\n );", } ], ) .request( line=line(), method="textDocument/onTypeFormatting", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 13, "character": 1}, "ch": "}", "options": {"tabSize": 2, "insertSpaces": True}, }, result=[ { "range": { "start": {"line": 13, "character": 0}, "end": {"line": 13, "character": 1}, }, "newText": "{", } ], ) .request( line=line(), method="textDocument/onTypeFormatting", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 15, "character": 16}, "ch": "}", "options": {"tabSize": 2, "insertSpaces": True}, }, result=[ { "range": { "start": {"line": 15, "character": 0}, "end": {"line": 15, "character": 16}, }, "newText": "function otf() {}", } ], ) .request(line=line(), method="shutdown", params={}, result=None) .notification(method="exit", params={}) ) self.run_spec(spec, variables, wait_for_server=False, use_serverless_ide=True) def test_did_change(self) -> None: self.prepare_server_environment() variables = self.setup_php_file("didchange.php") spec = ( self.initialize_spec(LspTestSpec("did_change"), use_serverless_ide=False) .wait_for_hh_server_ready() .notification( method="textDocument/didOpen", params={ "textDocument": { "uri": "${php_file_uri}", "languageId": "hack", "version": 1, "text": "${php_file}", } }, ) .notification( method="textDocument/didChange", params={ "textDocument": {"uri": "${php_file_uri}"}, "contentChanges": [ { "range": { "start": {"line": 7, "character": 11}, "end": {"line": 7, "character": 12}, }, "text": "a", } ], }, ) .wait_for_notification( method="textDocument/publishDiagnostics", params={ "uri": "${php_file_uri}", "diagnostics": [ { "range": { "start": {"line": 7, "character": 11}, "end": {"line": 7, "character": 11}, }, "severity": 1, "code": 1002, "source": "Hack", "message": "A semicolon ; is expected here.", "relatedLocations": [], "relatedInformation": [], } ], }, ) .request(line=line(), method="shutdown", params={}, result=None) .wait_for_notification( comment="Hack appears to clear out diagnostics before shutting down", method="textDocument/publishDiagnostics", params={"uri": "${php_file_uri}", "diagnostics": []}, ) .notification(method="exit", params={}) ) self.run_spec(spec, variables, wait_for_server=True, use_serverless_ide=False) def test_go_to_implementation(self) -> None: self.prepare_server_environment() variables = self.setup_php_file("go_to_implementation.php") spec = ( self.initialize_spec( LspTestSpec("test_go_to_implementation"), use_serverless_ide=False ) .wait_for_hh_server_ready() .notification( method="textDocument/didOpen", params={ "textDocument": { "uri": "${php_file_uri}", "languageId": "hack", "version": 1, "text": "${php_file}", } }, ) .request( line=line(), comment="go to implemenetation: abstract class", method="textDocument/implementation", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 1, "character": 17}, }, result=[ { "uri": "${php_file_uri}", "range": { "start": {"line": 7, "character": 6}, "end": {"line": 7, "character": 9}, }, } ], ) .request( line=line(), comment="go to implemenetation: interface", method="textDocument/implementation", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 13, "character": 13}, }, result=[ { "uri": "${php_file_uri}", "range": { "start": {"line": 17, "character": 6}, "end": {"line": 17, "character": 9}, }, } ], ) .request( line=line(), comment="go to implemenetation: trait", method="textDocument/implementation", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 23, "character": 10}, }, result=[ { "uri": "${php_file_uri}", "range": { "start": {"line": 30, "character": 6}, "end": {"line": 30, "character": 16}, }, } ], ) .request( line=line(), comment="go to implemenetation: method", method="textDocument/implementation", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 19, "character": 18}, }, result=[ { "uri": "${php_file_uri}", "range": { "start": {"line": 8, "character": 18}, "end": {"line": 8, "character": 22}, }, } ], ) .request(line=line(), method="shutdown", params={}, result=None) .notification(method="exit", params={}) ) self.run_spec(spec, variables, wait_for_server=True, use_serverless_ide=False) def test_signature_help(self) -> None: self.prepare_server_environment() variables = self.setup_php_file("signaturehelp.php") spec = ( self.initialize_spec( LspTestSpec("test_signature_help"), use_serverless_ide=False ) .wait_for_hh_server_ready() .notification( method="textDocument/didOpen", params={ "textDocument": { "uri": "${php_file_uri}", "languageId": "hack", "version": 1, "text": "${php_file}", } }, ) .request( line=line(), comment="signature help for 0-argument constructor" " (left of opening paren)", method="textDocument/signatureHelp", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 16, "character": 18}, }, result=None, ) .request( line=line(), comment="signature help for 0-argument constructor", method="textDocument/signatureHelp", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 16, "character": 19}, }, result={ "signatures": [ { "label": "public function __construct(): void", "documentation": "Constructor with doc block", "parameters": [], } ], "activeSignature": 0, "activeParameter": 0, }, ) .request( line=line(), comment="signature help for 0-argument constructor" " (right of closing paren)", method="textDocument/signatureHelp", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 16, "character": 20}, }, result=None, ) .request( line=line(), comment="signature help for 2-argument instance method" " (left of opening paren)", method="textDocument/signatureHelp", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 17, "character": 20}, }, result=None, ) .request( line=line(), comment="signature help for 2-argument instance method" " (right of opening paren)", method="textDocument/signatureHelp", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 17, "character": 21}, }, result={ "signatures": [ { "label": "public function instanceMethod" "(int $x1, int $x2): void", "documentation": "Instance method with doc block", "parameters": [{"label": "$x1"}, {"label": "$x2"}], } ], "activeSignature": 0, "activeParameter": 0, }, ) .request( line=line(), comment="signature help for 2-argument instance method" " (left of first comma)", method="textDocument/signatureHelp", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 17, "character": 22}, }, result={ "signatures": [ { "label": "public function instanceMethod" "(int $x1, int $x2): void", "documentation": "Instance method with doc block", "parameters": [{"label": "$x1"}, {"label": "$x2"}], } ], "activeSignature": 0, "activeParameter": 1, }, ) .request( line=line(), comment="signature help for 2-argument instance method" " (right of first comma)", method="textDocument/signatureHelp", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 17, "character": 23}, }, result={ "signatures": [ { "label": "public function instanceMethod" "(int $x1, int $x2): void", "documentation": "Instance method with doc block", "parameters": [{"label": "$x1"}, {"label": "$x2"}], } ], "activeSignature": 0, "activeParameter": 1, }, ) .request( line=line(), comment="signature help for 2-argument instance method" " (left of closing paren)", method="textDocument/signatureHelp", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 17, "character": 24}, }, result={ "signatures": [ { "label": "public function instanceMethod" "(int $x1, int $x2): void", "documentation": "Instance method with doc block", "parameters": [{"label": "$x1"}, {"label": "$x2"}], } ], "activeSignature": 0, "activeParameter": 1, }, ) .request( line=line(), comment="signature help for 2-argument instance method" " (right of closing paren)", method="textDocument/signatureHelp", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 17, "character": 25}, }, result=None, ) .request( line=line(), comment="signature help for 1-argument static method" " (left of open paren)", method="textDocument/signatureHelp", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 18, "character": 23}, }, result=None, ) .request( line=line(), comment="signature help for 1-argument static method" " (right of open paren)", method="textDocument/signatureHelp", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 18, "character": 24}, }, result={ "signatures": [ { "label": "public static function staticMethod" "(string $z): void", "documentation": "Static method with doc block", "parameters": [{"label": "$z"}], } ], "activeSignature": 0, "activeParameter": 0, }, ) .request( line=line(), comment="signature help for 2-argument global function" " (left of open paren)", method="textDocument/signatureHelp", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 19, "character": 17}, }, result=None, ) .request( line=line(), comment="signature help for 2-argument global function" " (right of open paren)", method="textDocument/signatureHelp", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 19, "character": 18}, }, result={ "signatures": [ { "label": "function global_function" "(string $s, int $x): void", "documentation": "Global function with doc block", "parameters": [{"label": "$s"}, {"label": "$x"}], } ], "activeSignature": 0, "activeParameter": 0, }, ) .request( line=line(), comment="signature help for 1-argument namespace-aliased global" " function (right of open paren)", method="textDocument/signatureHelp", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 20, "character": 26}, }, result=None, ) .request( line=line(), comment="signature help for 1-argument namespace-aliased global" " function (right of open paren)", method="textDocument/signatureHelp", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 20, "character": 26}, }, result=None, ) .request( line=line(), comment="signature help for 1-argument namespace-aliased global" " function (right of open paren)", method="textDocument/signatureHelp", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 20, "character": 27}, }, result={ "signatures": [ { "label": "function Derp\\Lib\\Herp\\aliased_global_func(string $s): void", "documentation": "Namespace-aliased function with doc block", "parameters": [{"label": "$s"}], } ], "activeSignature": 0, "activeParameter": 0, }, ) .request( line=line(), comment="signature help for 1-argument namespace-aliased global" " function (right of open paren)", method="textDocument/signatureHelp", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 20, "character": 28}, }, result={ "signatures": [ { "label": "function Derp\\Lib\\Herp\\aliased_global_func(string $s): void", "documentation": "Namespace-aliased function with doc block", "parameters": [{"label": "$s"}], } ], "activeSignature": 0, "activeParameter": 0, }, ) .request( line=line(), comment="signature help for 2-argument function with params" " (right of open paren)", method="textDocument/signatureHelp", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 21, "character": 30}, }, result={ "signatures": [ { "label": "function test_signature_help_params1(" "\n string $param1,\n string $param2\n): void", "documentation": "comment describing the method" "\n@param $param1 info1" "\n@param param2 info2", "parameters": [ {"label": "$param1", "documentation": "info1"}, {"label": "$param2", "documentation": "info2"}, ], } ], "activeSignature": 0, "activeParameter": 0, }, ) .request( line=line(), comment="signature help for 2-argument function with params" " (right of open paren)", method="textDocument/signatureHelp", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 22, "character": 30}, }, result={ "signatures": [ { "label": "function test_signature_help_params2(" "\n string $param1,\n string $param2\n): void", "documentation": "comment describing the method" "\n@param $param1 info1", "parameters": [ {"label": "$param1", "documentation": "info1"}, {"label": "$param2"}, ], } ], "activeSignature": 0, "activeParameter": 0, }, ) .request( line=line(), comment="signature help for 2-argument function with params" " (right of open paren)", method="textDocument/signatureHelp", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 23, "character": 30}, }, result={ "signatures": [ { "label": "function test_signature_help_params3(" "\n string $param1,\n string $param2\n): string", "documentation": "@param $param1 info1" "\n for param1" "\n@param $param2 info2" "\n@return the string" "\n 'hack'", "parameters": [ { "label": "$param1", "documentation": "info1 for param1", }, {"label": "$param2", "documentation": "info2"}, ], } ], "activeSignature": 0, "activeParameter": 0, }, ) .request(line=line(), method="shutdown", params={}, result=None) .notification(method="exit", params={}) ) self.run_spec(spec, variables, wait_for_server=True, use_serverless_ide=False) def test_signature_help_lambda(self) -> None: self.prepare_server_environment() variables = self.setup_php_file("signaturehelp_lambda.php") spec = ( self.initialize_spec( LspTestSpec("test_serverless_ide_signature_help_lambda"), use_serverless_ide=False, ) .wait_for_hh_server_ready() .notification( method="textDocument/didOpen", params={ "textDocument": { "uri": "${php_file_uri}", "languageId": "hack", "version": 1, "text": "${php_file}", } }, ) .request( line=line(), comment="signature help for a normal function call", method="textDocument/signatureHelp", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 8, "character": 29}, }, result={ "activeParameter": 0, "activeSignature": 0, "signatures": [ { "label": "function test_lambda_sighelp(\n" " string $str,\n" " (function(string): int) $f\n" "): int", "parameters": [{"label": "$str"}, {"label": "$f"}], } ], }, ) .request( line=line(), comment="signature help for normal function call within a lambda", method="textDocument/signatureHelp", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 9, "character": 21}, }, result={ "activeParameter": 0, "activeSignature": 0, "signatures": [ { "label": "function normal_test_func(string $str): void", "parameters": [{"label": "$str"}], } ], }, ) .request( line=line(), comment="signature help for text within a lambda, left side of an open paren", method="textDocument/signatureHelp", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 10, "character": 15}, }, result=None, ) .request( line=line(), comment="signature help for text within a lambda, right side of an open paren", method="textDocument/signatureHelp", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 10, "character": 16}, }, result=None, ) .request(line=line(), method="shutdown", params={}, result=None) .notification(method="exit", params={}) ) self.run_spec(spec, variables, wait_for_server=True, use_serverless_ide=False) def test_rename(self) -> None: self.prepare_server_environment() variables = self.setup_php_file("rename.php") self.load_and_run("rename", variables) def test_references(self) -> None: self.prepare_server_environment() variables = self.setup_php_file("references.php") self.load_and_run("references", variables) def test_non_existing_method(self) -> None: self.prepare_server_environment() variables = self.setup_php_file("nomethod.php") self.load_and_run("nomethod", variables) def test_bad_call(self) -> None: self.prepare_server_environment() variables = self.setup_php_file("bad_call.php") self.load_and_run("bad_call", variables) def test_non_blocking(self) -> None: self.prepare_server_environment() variables = self.setup_php_file("non_blocking.php") self.test_driver.start_hh_loop_forever_assert_timeout() spec = ( self.initialize_spec(LspTestSpec("non_blocking"), use_serverless_ide=False) .wait_for_hh_server_ready() .request( line=line(), method="textDocument/definition", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 7, "character": 11}, }, result=[ { "uri": "file://${root_path}/non_blocking.php", "range": { "start": {"line": 2, "character": 9}, "end": {"line": 2, "character": 32}, }, "title": "non_blocking_definition", } ], wait_id="definition request", ) .notification( comment="remove hh_loop_forever() invocation to break the infinite loop", method="textDocument/didOpen", params={ "textDocument": { "uri": "${root_path}/__hh_loop_forever_foo.php", "languageId": "hack", "version": 1, "text": """\ <?hh // strict function __hh_loop_forever_foo(): int { return 4; } """, } }, ) .wait_for_response(wait_id="definition request") .request(line=line(), method="shutdown", params={}, result=None) .notification(method="exit", params={}) ) self.run_spec(spec, variables, wait_for_server=True, use_serverless_ide=False) def test_serverless_ide_hierarchy_file_change_on_disk(self) -> None: variables = dict(self.prepare_serverless_ide_environment()) variables.update(self.setup_php_file("incremental_derived.php")) changed_php_file_uri = self.repo_file("incremental_base.php") variables.update({"changed_php_file_uri": changed_php_file_uri}) self.test_driver.stop_hh_server() spec = ( self.initialize_spec( LspTestSpec("serverless_ide_hierarchy_file_change_on_disk"), use_serverless_ide=True, ) .notification( method="textDocument/didOpen", params={ "textDocument": { "uri": "${php_file_uri}", "languageId": "hack", "version": 1, "text": "${php_file}", } }, ) .request( line=line(), comment="hover before change to class hierarchy should be `int`", method="textDocument/hover", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 7, "character": 14}, }, result={ "contents": [ {"language": "hack", "value": "public function foo(): int"}, "Return type: `int`", "Full name: `BaseClassIncremental::foo`", ], "range": { "start": {"line": 7, "character": 12}, "end": {"line": 7, "character": 15}, }, }, powered_by="serverless_ide", ) .write_to_disk( uri=changed_php_file_uri, contents="""\ <?hh // strict class BaseClassIncremental { public function foo(): string { return ''; } } """, notify=True, ) .request( line=line(), comment="hover after change to class hierarchy should be `string`", method="textDocument/hover", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 7, "character": 14}, }, result={ "contents": [ {"language": "hack", "value": "public function foo(): string"}, "Return type: `string`", "Full name: `BaseClassIncremental::foo`", ], "range": { "start": {"line": 7, "character": 12}, "end": {"line": 7, "character": 15}, }, }, powered_by="serverless_ide", ) .request(line=line(), method="shutdown", params={}, result=None) .notification(method="exit", params={}) ) self.run_spec(spec, variables, wait_for_server=False, use_serverless_ide=True) def test_serverless_ide_decl_in_unsaved_buffer_changed(self) -> None: variables = dict(self.prepare_serverless_ide_environment()) variables.update(self.setup_php_file("hover.php")) self.test_driver.stop_hh_server() spec = ( self.initialize_spec( LspTestSpec("serverless_ide_decl_in_unsaved_buffer_changed"), use_serverless_ide=True, ) .notification( method="textDocument/didOpen", params={ "textDocument": { "uri": "${php_file_uri}", "languageId": "hack", "version": 1, "text": "${php_file}", } }, ) .request( line=line(), comment="hover over function invocation", method="textDocument/hover", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 16}, }, result={ "contents": [ {"language": "hack", "value": "int"}, "A comment describing b_hover.", ], "range": { "start": {"line": 3, "character": 9}, "end": {"line": 3, "character": 16}, }, }, powered_by="serverless_ide", ) .notification( comment="make local, unsaved change to the file", method="textDocument/didChange", params={ "textDocument": {"uri": "${php_file_uri}", "version": 2}, "contentChanges": [ { "text": """\ <?hh // strict // comment function a_hover(): int { return b_hover(); } # A comment describing b_hover differently. function b_hover(): string { return 42; } """ } ], }, ) .request( line=line(), comment="another hover over function invocation, should be string now", method="textDocument/hover", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 16}, }, result={ "contents": [ {"language": "hack", "value": "string"}, "A comment describing b_hover differently.", ], "range": { "start": {"line": 3, "character": 9}, "end": {"line": 3, "character": 16}, }, }, powered_by="serverless_ide", ) .request(line=line(), method="shutdown", params={}, result=None) .notification(method="exit", params={}) ) self.run_spec(spec, variables, wait_for_server=False, use_serverless_ide=True) def test_serverless_ide_decl_two_unsaved_buffers(self) -> None: variables = dict(self.prepare_serverless_ide_environment()) variables.update(self.setup_php_file("unsaved1.php")) variables.update({"unsaved2_file_uri": self.repo_file_uri("unsaved2.php")}) self.test_driver.stop_hh_server() spec = ( self.initialize_spec( LspTestSpec("test_serverless_ide_decl_two_unsaved_buffers"), use_serverless_ide=True, ) .notification( comment="open 'unsaved1.php', since we'll be hovering in it", method="textDocument/didOpen", params={ "textDocument": { "uri": "${php_file_uri}", "languageId": "hack", "version": 1, "text": "${php_file}", } }, ) .notification( comment="open 'unsaved2.php' with a bool-returning signature, different from disk", method="textDocument/didOpen", params={ "textDocument": { "uri": "${unsaved2_file_uri}", "languageId": "hack", "version": 1, "text": """\ <?hh //strict function unsaved_bar(): bool { return true; } """, } }, ) .request( line=line(), comment="hover 'unsaved1.php' is with respect to disk contents of 'unsaved2.php'", method="textDocument/hover", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 1, "character": 39}, }, result={ "contents": [ {"language": "hack", "value": "function unsaved_bar(): int"}, "Return type: `int`", ], "range": { "start": {"line": 1, "character": 34}, "end": {"line": 1, "character": 45}, }, }, powered_by="serverless_ide", ) .notification( comment="change signature in 'unsaved2.php' to return string", method="textDocument/didChange", params={ "textDocument": {"uri": "${unsaved2_file_uri}", "version": 2}, "contentChanges": [ { "text": """\ <?hh //strict function unsaved_bar(): string { return "hello"; } """ } ], }, ) .request( line=line(), comment="this is a dummy hover in 'unsaved2.php' just to ensure its decl is cached", method="textDocument/hover", params={ "textDocument": {"uri": "${unsaved2_file_uri}"}, "position": {"line": 0, "character": 0}, }, result=None, powered_by="serverless_ide", ) .request( line=line(), comment="hover 'unsaved1.php' is still with respect to disk contents of 'unsaved2.php'", method="textDocument/hover", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 1, "character": 39}, }, result={ "contents": [ {"language": "hack", "value": "function unsaved_bar(): int"}, "Return type: `int`", ], "range": { "start": {"line": 1, "character": 34}, "end": {"line": 1, "character": 45}, }, }, powered_by="serverless_ide", ) .write_to_disk( comment="save signature in 'unsaved2' to return string", uri=variables["unsaved2_file_uri"], contents="""\ <?hh // strict function unsaved_bar(): string { return "hello"; } """, notify=True, ) .request( line=line(), comment="hover 'unsaved1.php' gets new disk contents of 'unsaved2.php'", method="textDocument/hover", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 1, "character": 39}, }, result={ "contents": [ {"language": "hack", "value": "function unsaved_bar(): string"}, "Return type: `string`", ], "range": { "start": {"line": 1, "character": 34}, "end": {"line": 1, "character": 45}, }, }, powered_by="serverless_ide", ) .request(line=line(), method="shutdown", params={}, result=None) .notification(method="exit", params={}) ) self.run_spec(spec, variables, wait_for_server=False, use_serverless_ide=True) def test_hover_without_file_open(self) -> None: variables = dict(self.prepare_serverless_ide_environment()) variables.update(self.setup_php_file("hover.php")) self.test_driver.stop_hh_server() spec = ( self.initialize_spec( LspTestSpec("test_hover_without_file_open"), use_serverless_ide=True, supports_status=True, ) .ignore_notifications(method="textDocument/publishDiagnostics") .ignore_requests( comment="Ignore 'initializing...' messages since they're racy", method="window/showStatus", params={ "type": 2, "actions": [{"title": "Restart hh_server"}], "message": "Hack IDE: initializing.\nhh_server: stopped.", "shortMessage": "Hack: initializing", }, ) .ignore_requests( comment="another racy initializing, before hh_server has even responded", method="window/showStatus", params={ "type": 2, "actions": [], "message": "Hack IDE: initializing.", "shortMessage": "Hack: initializing", }, ) .ignore_requests( comment="another racy initialization to ignore, again before hh_server", method="window/showStatus", params={ "type": 3, "actions": [], "message": "Hack IDE: ready.", "shortMessage": "Hack: ready", }, ) .wait_for_server_request( method="window/showStatus", params={ "actions": [{"title": "Restart hh_server"}], "message": "Hack IDE: ready.\nhh_server: stopped.", "shortMessage": "Hack: ready", "type": 3, }, result=NoResponse(), ) .request( line=line(), comment="hover before file_open will fail", method="textDocument/hover", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 26, "character": 20}, }, result=None, ) .notification( method="textDocument/didOpen", params={ "textDocument": { "uri": "${php_file_uri}", "languageId": "hack", "version": 1, "text": "${php_file}", } }, ) .request( line=line(), comment="hover after file_open will succeed", method="textDocument/hover", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 26, "character": 20}, }, result={"contents": [{"language": "hack", "value": "string"}]}, powered_by="serverless_ide", ) .request( line=line(), method="$test/shutdownServerlessIde", params={}, result=None, powered_by="serverless_ide", ) .wait_for_server_request( method="window/showStatus", params={ "actions": [ {"title": "Restart Hack IDE"}, {"title": "Restart hh_server"}, ], "message": "Hack IDE has failed. See Output›Hack for details.\nhh_server: stopped.", "shortMessage": "Hack: failed", "type": 1, }, result={"title": "Restart Hack IDE"}, ) .wait_for_server_request( method="window/showStatus", params={ "actions": [{"title": "Restart hh_server"}], "message": "Hack IDE: ready.\nhh_server: stopped.", "shortMessage": "Hack: ready", "type": 3, }, result=NoResponse(), ) .request( line=line(), comment="hover after restart will succeed", method="textDocument/hover", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 26, "character": 20}, }, result={"contents": [{"language": "hack", "value": "string"}]}, powered_by="serverless_ide", ) .notification( method="textDocument/didClose", params={"textDocument": {"uri": "${php_file_uri}"}}, ) .request( line=line(), comment="hover after file_close will fail", method="textDocument/hover", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 26, "character": 20}, }, result=None, ) .request(line=line(), method="shutdown", params={}, result=None) .notification(method="exit", params={}) ) self.run_spec(spec, variables, wait_for_server=False, use_serverless_ide=True) def test_hh_server_status_diagnostic(self) -> None: variables = dict(self.prepare_serverless_ide_environment()) variables.update(self.setup_php_file("unsaved1.php")) variables.update( { "unsaved2_file_uri": self.repo_file_uri("unsaved2.php"), "unsaved2_file": self.read_repo_file("unsaved2.php"), } ) self.test_driver.stop_hh_server() spec = ( self.initialize_spec( LspTestSpec("test_hh_server_status_diagnostic"), use_serverless_ide=True ) .ignore_status_diagnostics(False) .notification( method="textDocument/didOpen", params={ "textDocument": { "uri": "${php_file_uri}", "languageId": "hack", "version": 1, "text": "${php_file}", } }, ) .wait_for_notification( comment="After didOpen(file1), the hh_server_status diagnostic should appear in file1", method="textDocument/publishDiagnostics", params={ "uri": "${php_file_uri}", "diagnostics": [ { "range": { "start": {"line": 0, "character": 0}, "end": {"line": 0, "character": 1}, }, "severity": 1, "source": "hh_server", "message": "hh_server isn't running, so there may be undetected errors. Try `hh` at the command line... hh_server: stopped.", "relatedInformation": [], "relatedLocations": [], } ], "isStatusFB": True, }, ) .notification( method="textDocument/didOpen", params={ "textDocument": { "uri": "${unsaved2_file_uri}", "languageId": "hack", "version": 1, "text": "${unsaved2_file}", } }, ) .wait_for_notification( comment="After didOpen(file2), the hh_server_status diagnostic should disappear from file1", method="textDocument/publishDiagnostics", params={ "uri": "${php_file_uri}", "diagnostics": [], "isStatusFB": True, }, ) .wait_for_notification( comment="After didOpen(file2), the hh_server_status diagnostic should reappear in file2", method="textDocument/publishDiagnostics", params={ "uri": "${unsaved2_file_uri}", "diagnostics": [ { "range": { "start": {"line": 0, "character": 0}, "end": {"line": 0, "character": 1}, }, "severity": 1, "source": "hh_server", "message": "hh_server isn't running, so there may be undetected errors. Try `hh` at the command line... hh_server: stopped.", "relatedInformation": [], "relatedLocations": [], } ], "isStatusFB": True, }, ) .notification( method="textDocument/didClose", params={"textDocument": {"uri": "${unsaved2_file_uri}"}}, ) .wait_for_notification( comment="After didClose(file2), the hh_server_status diagnostic should disappear from file2", method="textDocument/publishDiagnostics", params={ "uri": "${unsaved2_file_uri}", "diagnostics": [], "isStatusFB": True, }, ) .wait_for_notification( comment="After didClose(file2), the hh_server_status diagnostic should reappear in file1", method="textDocument/publishDiagnostics", params={ "uri": "${php_file_uri}", "diagnostics": [ { "range": { "start": {"line": 0, "character": 0}, "end": {"line": 0, "character": 1}, }, "severity": 1, "source": "hh_server", "message": "hh_server isn't running, so there may be undetected errors. Try `hh` at the command line... hh_server: stopped.", "relatedInformation": [], "relatedLocations": [], } ], "isStatusFB": True, }, ) .notification( method="textDocument/didClose", params={"textDocument": {"uri": "${php_file_uri}"}}, ) .wait_for_notification( comment="After didClose(file1), the hh_server_status diagnostic should disappear from file1", method="textDocument/publishDiagnostics", params={ "uri": "${php_file_uri}", "diagnostics": [], "isStatusFB": True, }, ) .request(line=line(), method="shutdown", params={}, result=None) .notification(method="exit", params={}) ) self.run_spec(spec, variables, wait_for_server=False, use_serverless_ide=True) def _sanitize_gutter_line_numbers(self, s: str) -> str: gutter_line_number_re = re.compile(r"^[ ]*[0-9]+ \|", re.MULTILINE) return re.sub(gutter_line_number_re, " XXXX |", s) def test_lsptestspec_incorrect_request_result(self) -> None: variables = dict(self.prepare_serverless_ide_environment()) variables.update(self.setup_php_file("hover.php")) self.test_driver.stop_hh_server() spec = ( self.initialize_spec( LspTestSpec("test_lsptestspec_incorrect_request_result"), use_serverless_ide=True, ) .notification( method="textDocument/didOpen", params={ "textDocument": { "uri": "${php_file_uri}", "languageId": "hack", "version": 1, "text": "${php_file}", } }, ) .request( line=line(), comment="hover over function invocation", method="textDocument/hover", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 16}, }, result={ "contents": [ {"language": "hack", "value": "int"}, "INCORRECT COMMENT HERE", ], "range": { "start": {"line": 3, "character": 9}, "end": {"line": 3, "character": 16}, }, }, powered_by="serverless_ide", ) .request(line=line(), method="shutdown", params={}, result=None) .notification(method="exit", params={}) ) try: self.run_spec( spec, variables=variables, wait_for_server=False, use_serverless_ide=True, ) raise AssertionError("Expected an error here") except AssertionError as e: self.assertEqual( self._sanitize_gutter_line_numbers(str(e)), """\ Test case test_lsptestspec_incorrect_request_result failed with 1 errors: Error 1/1: Description: Request with ID 5 (comment: 'hover over function invocation') \ got an incorrect result: (+ is expected lines, - is actual lines) - {'contents': [{'language': 'hack', 'value': 'int'}, + {'contents': [{'language': 'hack', 'value': 'int'}, 'INCORRECT COMMENT HERE'], ? +++++++++++++++++++++++++++ - 'A comment describing b_hover.'], 'range': {'end': {'character': 16, 'line': 3}, 'start': {'character': 9, 'line': 3}}} Context: This was the associated request: hphp/hack/test/integration/test_lsp.py XXXX | .request( XXXX | line=line(), XXXX | comment="hover over function invocation", XXXX | method="textDocument/hover", XXXX | params={ XXXX | "textDocument": {"uri": "${php_file_uri}"}, XXXX | "position": {"line": 3, "character": 16}, XXXX | }, XXXX | result={ XXXX | "contents": [ XXXX | {"language": "hack", "value": "int"}, XXXX | "INCORRECT COMMENT HERE", XXXX | ], XXXX | "range": { XXXX | "start": {"line": 3, "character": 9}, XXXX | "end": {"line": 3, "character": 16}, XXXX | }, XXXX | }, XXXX | powered_by="serverless_ide", XXXX | ) Remediation: 1) If this was unexpected, then the language server is buggy and should be fixed. 2) If this was expected, you can update your request with the following code to make it match: .request( line=line(), comment='hover over function invocation', method='textDocument/hover', params={'textDocument': {'uri': '${php_file_uri}'}, \ 'position': {'line': 3, 'character': 16}}, result={'contents': [{'language': 'hack', 'value': 'int'}, \ 'A comment describing b_hover.'], \ 'range': {'start': {'line': 3, 'character': 9}, \ 'end': {'line': 3, 'character': 16}}}, powered_by='serverless_ide', ) If you want to examine the raw LSP logs, you can check the `.sent.log` and `.received.log` files that were generated in the template repo for this test.\ """, ) def test_lsptestspec_unexpected_notification(self) -> None: self.prepare_server_environment() variables = self.setup_php_file("didchange.php") spec = ( self.initialize_spec(LspTestSpec("did_change"), use_serverless_ide=False) .wait_for_hh_server_ready() .notification( method="textDocument/didOpen", params={ "textDocument": { "uri": "${php_file_uri}", "languageId": "hack", "version": 1, "text": "${php_file}", } }, ) .notification( method="textDocument/didChange", params={ "textDocument": {"uri": "${php_file_uri}"}, "contentChanges": [ { "range": { "start": {"line": 7, "character": 11}, "end": {"line": 7, "character": 12}, }, "text": "a", } ], }, ) .wait_for_notification( method="textDocument/publishDiagnostics", params={ "uri": "${php_file_uri}", "diagnostics": [ { "range": { "start": {"line": 7, "character": 11}, "end": {"line": 7, "character": 11}, }, "severity": 1, "code": 1002, "source": "Hack", "message": "A semicolon ; is expected here.", "relatedLocations": [], "relatedInformation": [], } ], }, ) .request(line=line(), method="shutdown", params={}, result=None) .notification(method="exit", params={}) ) try: self.run_spec( spec, variables, wait_for_server=True, use_serverless_ide=False ) raise AssertionError("Expected an error here") except AssertionError as e: self.assertEqual( self._sanitize_gutter_line_numbers(str(e)), """\ Test case did_change failed with 1 errors: Error 1/1: Description: An unexpected notification of type \ 'textDocument/publishDiagnostics' was sent by the language server. Here is the notification payload: {'jsonrpc': '2.0', 'method': 'textDocument/publishDiagnostics', 'params': {'diagnostics': [], 'uri': '__PHP_FILE_URI__'}} Context: This was the most recent request issued from the language client before it received the notification: hphp/hack/test/integration/test_lsp.py XXXX | .request(line=line(), method="shutdown", params={}, result=None) Remediation: 1) If this was unexpected, then the language server is buggy and should be fixed. 2) If all notifications of type 'textDocument/publishDiagnostics' should be \ ignored, add this directive anywhere in your test: .ignore_notifications(method='textDocument/publishDiagnostics') 3) If this single instance of the notification was expected, add this directive to your test to wait for it before proceeding: .wait_for_notification( method='textDocument/publishDiagnostics', params={'uri': '${php_file_uri}', 'diagnostics': []}, ) If you want to examine the raw LSP logs, you can check the `.sent.log` and `.received.log` files that were generated in the template repo for this test.\ """ # There's an instance of a literal `${php_file_uri}` in there # which we don't want to change, so use a different name than # that one. .replace("__PHP_FILE_URI__", variables["php_file_uri"]), ) def test_serverless_ide_highlight(self) -> None: variables = dict(self.prepare_serverless_ide_environment()) variables.update(self.setup_php_file("highlight.php")) self.test_driver.stop_hh_server() spec = ( self.initialize_spec( LspTestSpec("serverless_ide_highlight"), use_serverless_ide=True ) .notification( method="textDocument/didOpen", params={ "textDocument": { "uri": "${php_file_uri}", "languageId": "hack", "version": 1, "text": "${php_file}", } }, ) .request( line=line(), comment="document highlight, id 2", method="textDocument/documentHighlight", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 10}, }, result=[ { "range": { "start": {"line": 3, "character": 9}, "end": {"line": 3, "character": 20}, } } ], powered_by="serverless_ide", ) .request( line=line(), comment="shutdown, id 3", method="shutdown", params={}, result=None, ) ) self.run_spec(spec, variables, wait_for_server=False, use_serverless_ide=True) def test_serverless_ide_coverage(self) -> None: variables = dict(self.prepare_serverless_ide_environment()) variables.update(self.setup_php_file("coverage.php")) self.test_driver.stop_hh_server() spec = ( self.initialize_spec( LspTestSpec("serverless_ide_coverage"), use_serverless_ide=True ) .notification( method="textDocument/didOpen", params={ "textDocument": { "uri": "${php_file_uri}", "languageId": "hack", "version": 1, "text": "${php_file}", } }, ) .request( line=line(), comment="Check type coverage", method="textDocument/typeCoverage", params={"textDocument": {"uri": "${php_file_uri}"}}, result={ "coveredPercent": 0, "uncoveredRanges": [ { "range": { "start": {"line": 3, "character": 12}, "end": {"line": 3, "character": 17}, } }, { "range": { "start": {"line": 3, "character": 8}, "end": {"line": 3, "character": 10}, } }, { "range": { "start": {"line": 3, "character": 2}, "end": {"line": 3, "character": 5}, } }, ], "defaultMessage": "Un-type checked code. Consider adding type annotations.", }, powered_by="serverless_ide", ) .request( line=line(), comment="Shutdown", method="shutdown", params={}, result=None, ) ) self.run_spec(spec, variables, wait_for_server=False, use_serverless_ide=True) def test_status_stopped(self) -> None: variables = dict(self.prepare_serverless_ide_environment()) variables.update(self.setup_php_file("hover.php")) self.test_driver.stop_hh_server() spec = ( self.initialize_spec( LspTestSpec("status_stopped"), use_serverless_ide=False, supports_status=True, ) .wait_for_server_request( method="window/showStatus", params={ "shortMessage": "Hack: stopped", "message": "hh_server: stopped.", "actions": [{"title": "Restart hh_server"}], "type": 1, }, result=NoResponse(), ) .request(line=line(), method="shutdown", params={}, result=None) .notification(method="exit", params={}) ) self.run_spec(spec, variables, wait_for_server=False, use_serverless_ide=False) def test_status_running(self) -> None: variables = dict(self.prepare_serverless_ide_environment()) variables.update(self.setup_php_file("hover.php")) spec = ( self.initialize_spec( LspTestSpec("status_running"), use_serverless_ide=False, supports_status=True, ) .ignore_requests( comment="Ignore initializing... requests since they're racy", method="window/showStatus", params={ "type": 2, "shortMessage": "Hack: initializing", "message": "hh_server initializing: processing [<test> seconds]", "actions": [], }, ) .wait_for_server_request( method="window/showStatus", params={"actions": [], "message": "hh_server: ready.", "type": 3}, result=NoResponse(), ) .request(line=line(), method="shutdown", params={}, result=None) .notification(method="exit", params={}) ) self.run_spec(spec, variables, wait_for_server=True, use_serverless_ide=False) def test_serverless_ide_status_stopped(self) -> None: variables = dict(self.prepare_serverless_ide_environment()) variables.update(self.setup_php_file("hover.php")) self.test_driver.stop_hh_server() spec = ( self.initialize_spec( LspTestSpec("serverless_ide_status_stopped"), use_serverless_ide=True, supports_status=True, ) .ignore_requests( comment="ignore initializing... messages since they're kind of racy", method="window/showStatus", params={ "type": 2, "actions": [{"title": "Restart hh_server"}], "message": "Hack IDE: initializing.\nhh_server: stopped.", "shortMessage": "Hack: initializing", }, ) .ignore_requests( comment="another racy initialization to ignore, before hh_server has even reported its status", method="window/showStatus", params={ "type": 2, "actions": [], "message": "Hack IDE: initializing.", "shortMessage": "Hack: initializing", }, ) .ignore_requests( comment="another racy initialization to ignore, again before hh_server", method="window/showStatus", params={ "type": 3, "actions": [], "message": "Hack IDE: ready.", "shortMessage": "Hack: ready", }, ) .wait_for_server_request( method="window/showStatus", params={ "message": "Hack IDE: ready.\nhh_server: stopped.", "shortMessage": "Hack: ready", "actions": [{"title": "Restart hh_server"}], "type": 3, }, result=NoResponse(), ) .request(line=line(), method="shutdown", params={}, result=None) .notification(method="exit", params={}) ) self.run_spec(spec, variables, wait_for_server=False, use_serverless_ide=True) def test_serverless_ide_status_restart(self) -> None: variables = dict(self.prepare_serverless_ide_environment()) variables.update(self.setup_php_file("hover.php")) spec = ( self.initialize_spec( LspTestSpec("serverless_ide_status_restart"), use_serverless_ide=True, supports_status=True, ) .ignore_requests( comment="Ignore initializing messages since they're racy", method="window/showStatus", params={ "type": 2, "actions": [], "message": "Hack IDE: initializing.\nhh_server initializing: processing [<test> seconds]", "shortMessage": "Hack: initializing", }, ) .ignore_requests( comment="Another form of initializing to ignore", method="window/showStatus", params={ "type": 2, "actions": [], "message": "Hack IDE: initializing.\nhh_server: ready.", "shortMessage": "Hack: initializing", }, ) .ignore_requests( comment="Another form of initializing to ignore before we've even heard the first peep from hh_server", method="window/showStatus", params={ "type": 2, "actions": [], "message": "Hack IDE: initializing.", "shortMessage": "Hack: initializing", }, ) .ignore_requests( comment="another racy initialization to ignore, again before hh_server", method="window/showStatus", params={ "type": 3, "actions": [], "message": "Hack IDE: ready.", "shortMessage": "Hack: ready", }, ) .wait_for_server_request( method="window/showStatus", params={ "actions": [], "message": "Hack IDE: ready.\nhh_server: ready.", "shortMessage": "Hack: ready", "type": 3, }, result=NoResponse(), ) .request( line=line(), method="$test/shutdownServerlessIde", params={}, result=None, powered_by="serverless_ide", ) .wait_for_server_request( method="window/showStatus", params={ "actions": [{"title": "Restart Hack IDE"}], "message": "Hack IDE has failed. See Output›Hack for details.\nhh_server: ready.", "shortMessage": "Hack: failed", "type": 1, }, result={"title": "Restart Hack IDE"}, ) .wait_for_server_request( method="window/showStatus", params={ "actions": [], "message": "Hack IDE: ready.\nhh_server: ready.", "shortMessage": "Hack: ready", "type": 3, }, result=NoResponse(), ) .request(line=line(), method="shutdown", params={}, result=None) .notification(method="exit", params={}) ) self.run_spec(spec, variables, wait_for_server=True, use_serverless_ide=True) def test_serverless_ide_failed_to_load_saved_state(self) -> None: variables = dict(self.prepare_serverless_ide_environment()) variables.update(self.setup_php_file("hover.php")) assert "naming_table_saved_state_path" in variables variables["naming_table_saved_state_path"] = "/tmp/nonexistent" spec = ( self.initialize_spec( LspTestSpec("serverless_ide_status_failed_to_load_saved_state"), use_serverless_ide=True, supports_status=True, supports_init=True, ) .ignore_requests( comment="Ignore initializing since they're kind of racy", method="window/showStatus", params={ "type": 2, "actions": [], "message": "Hack IDE: initializing.\nhh_server initializing: processing [<test> seconds]", "shortMessage": "Hack: initializing", }, ) .ignore_requests( comment="Ignore another form of initializing", method="window/showStatus", params={ "type": 2, "actions": [], "message": "Hack IDE: initializing.\nhh_server: ready.", "shortMessage": "Hack: initializing", }, ) .ignore_requests( comment="Ignore another form of initializing, from before we've even heard the first peep out of hh_server", method="window/showStatus", params={ "type": 2, "actions": [], "message": "Hack IDE: initializing.", "shortMessage": "Hack: initializing", }, ) .ignore_requests( comment="Ignore another form of initializing, again before hh_server", method="window/showStatus", params={ "type": 1, "actions": [{"title": "Restart Hack IDE"}], "message": "Hack IDE has failed. See Output›Hack for details.", "shortMessage": "Hack: failed", }, ) .wait_for_notification( method="window/logMessage", params={ "type": 1, "message": "Hack IDE has failed.\nThis is unexpected.\nPlease file a bug within your IDE.\nMore details: http://dummy/HH_TEST_MODE", }, ) .wait_for_server_request( method="window/showStatus", params={ "actions": [{"title": "Restart Hack IDE"}], "message": "Hack IDE has failed. See Output›Hack for details.\nhh_server: ready.", "shortMessage": "Hack: failed", "type": 1, }, result=NoResponse(), ) .request(line=line(), method="shutdown", params={}, result=None) .notification(method="exit", params={}) ) self.run_spec(spec, variables, wait_for_server=True, use_serverless_ide=True) def test_workspace_symbol(self) -> None: self.prepare_server_environment() variables = self.setup_php_file("didchange.php") spec = ( self.initialize_spec( LspTestSpec("test_workspace_symbol"), use_serverless_ide=False ) .wait_for_hh_server_ready() .request( line=line(), comment="Look up symbols", method="workspace/symbol", params={"query": "TestNS\\test"}, result=[ { "name": "TestNS\\test_func", "kind": 12, "location": { "uri": "file://${root_path}/completion_extras_namespace.php", "range": { "start": {"line": 4, "character": 9}, "end": {"line": 4, "character": 25}, }, }, } ], ) .request( line=line(), comment="Look up symbols starting with 'test_f' within multiple namespaces", method="workspace/symbol", params={"query": "test_f"}, result=[ { "name": "test_function", "kind": 12, "location": { "uri": "file://${root_path}/completion.php", "range": { "start": {"line": 7, "character": 9}, "end": {"line": 7, "character": 22}, }, }, }, { "name": "TestNS\\test_func", "kind": 12, "location": { "uri": "file://${root_path}/completion_extras_namespace.php", "range": { "start": {"line": 4, "character": 9}, "end": {"line": 4, "character": 25}, }, }, }, ], ) .request(line=line(), method="shutdown", params={}, result=None) .notification(method="exit", params={}) ) self.run_spec(spec, variables, wait_for_server=True, use_serverless_ide=False) def test_serverless_ide_during_hh_server_restart(self) -> None: variables = dict(self.prepare_serverless_ide_environment()) variables.update(self.setup_php_file("didchange.php")) spec = ( self.initialize_spec( LspTestSpec("test_serverless_ide_during_hh_server_restart"), use_serverless_ide=True, ) .notification( method="textDocument/didOpen", params={ "textDocument": { "uri": "${php_file_uri}", "languageId": "hack", "version": 1, "text": "${php_file}", } }, ) .notification( comment="Send a 'didChange' notification before HH Server is functional.", method="textDocument/didChange", params={ "textDocument": {"uri": "${php_file_uri}"}, "contentChanges": [ { "range": { "start": {"line": 7, "character": 9}, "end": {"line": 7, "character": 11}, }, "text": "'foo'", } ], }, ) .start_hh_server("Start HH Server; should detect the bad edit") .wait_for_notification( method="textDocument/publishDiagnostics", params={ "uri": "${php_file_uri}", "diagnostics": [ { "code": 4110, "message": "Invalid return type", "range": { "end": {"character": 14, "line": 7}, "start": {"character": 9, "line": 7}, }, "relatedInformation": [ { "location": { "range": { "end": {"character": 27, "line": 6}, "start": {"character": 24, "line": 6}, }, "uri": "${php_file_uri}", }, "message": "Expected int", }, { "location": { "range": { "end": {"character": 14, "line": 7}, "start": {"character": 9, "line": 7}, }, "uri": "${php_file_uri}", }, "message": "But got string", }, ], "relatedLocations": [ { "location": { "range": { "end": {"character": 27, "line": 6}, "start": {"character": 24, "line": 6}, }, "uri": "${php_file_uri}", }, "message": "Expected int", }, { "location": { "range": { "end": {"character": 14, "line": 7}, "start": {"character": 9, "line": 7}, }, "uri": "${php_file_uri}", }, "message": "But got string", }, ], "severity": 1, "source": "Hack", } ], }, ) .stop_hh_server("Shutdown HH Server") .start_hh_server("Restart HH Server") .wait_for_notification( comment="On startup it thinks everything is okay ...", method="textDocument/publishDiagnostics", params={"uri": "${php_file_uri}", "diagnostics": []}, ) .wait_for_notification( comment="But then hh_server sends a hello message and it gets the edited files, which leads it to see the problem.", method="textDocument/publishDiagnostics", params={ "uri": "${php_file_uri}", "diagnostics": [ { "code": 4110, "message": "Invalid return type", "range": { "end": {"character": 14, "line": 7}, "start": {"character": 9, "line": 7}, }, "relatedInformation": [ { "location": { "range": { "end": {"character": 27, "line": 6}, "start": {"character": 24, "line": 6}, }, "uri": "${php_file_uri}", }, "message": "Expected int", }, { "location": { "range": { "end": {"character": 14, "line": 7}, "start": {"character": 9, "line": 7}, }, "uri": "${php_file_uri}", }, "message": "But got string", }, ], "relatedLocations": [ { "location": { "range": { "end": {"character": 27, "line": 6}, "start": {"character": 24, "line": 6}, }, "uri": "${php_file_uri}", }, "message": "Expected int", }, { "location": { "range": { "end": {"character": 14, "line": 7}, "start": {"character": 9, "line": 7}, }, "uri": "${php_file_uri}", }, "message": "But got string", }, ], "severity": 1, "source": "Hack", } ], }, ) .request(line=line(), method="shutdown", params={}, result=None) .notification(method="exit", params={}) ) self.run_spec(spec, variables, wait_for_server=True, use_serverless_ide=True) def test_serverless_ide_naming_error1(self) -> None: variables = dict(self.prepare_serverless_ide_environment()) variables.update(self.setup_php_file("didchange.php")) variables.update( { "main_file": self.repo_file("main.php"), "main_file_contents": """\ <?hh function main(): int { return aaa(); } """, "file_a": self.repo_file("a.php"), "file_b": self.repo_file("b.php"), } ) spec = ( self.initialize_spec( LspTestSpec("serverless_ide_naming_error1"), use_serverless_ide=True ) .write_to_disk( uri="${main_file}", contents="${main_file_contents}", notify=True ) .notification( method="textDocument/didOpen", params={ "textDocument": { "uri": "${main_file}", "languageId": "hack", "version": 1, "text": "${main_file_contents}", } }, ) .request( line=line(), comment="Ensure that hover over `aaa` works even when the name is not yet defined", method="textDocument/hover", params={ "textDocument": {"uri": "${main_file}"}, "position": {"line": 2, "character": 13}, }, result={ "contents": [{"language": "hack", "value": "_"}], "range": { "start": {"line": 2, "character": 11}, "end": {"line": 2, "character": 14}, }, }, powered_by="serverless_ide", ) .write_to_disk( comment="create file A", uri="${file_a}", contents="""\ <?hh function aaa(): int { return 1; } """, notify=True, ) .request( line=line(), comment="Ensure that hover over `aaa` works when there are no naming errors", method="textDocument/hover", params={ "textDocument": {"uri": "${main_file}"}, "position": {"line": 2, "character": 13}, }, result={ "contents": [ {"language": "hack", "value": "function aaa(): int"}, "Return type: `int`", ], "range": { "start": {"line": 2, "character": 11}, "end": {"line": 2, "character": 14}, }, }, powered_by="serverless_ide", ) .write_to_disk( comment="create file B", uri="${file_b}", contents="""\ <?hh function aaa(): string { return "foo"; } """, notify=True, ) .request( line=line(), comment="Ensure that hover over `aaa` works even when there is a duplicate name", method="textDocument/hover", params={ "textDocument": {"uri": "${main_file}"}, "position": {"line": 2, "character": 13}, }, result={ "contents": [ {"language": "hack", "value": "function aaa(): int"}, "Return type: `int`", ], "range": { "start": {"line": 2, "character": 11}, "end": {"line": 2, "character": 14}, }, }, powered_by="serverless_ide", ) .write_to_disk( comment="delete file A", uri="${file_a}", contents=None, notify=True ) .request( line=line(), comment="Now that we've fixed the error, hover should work.", method="textDocument/hover", params={ "textDocument": {"uri": "${main_file}"}, "position": {"line": 2, "character": 13}, }, result={ "contents": [ {"language": "hack", "value": "function aaa(): string"}, "Return type: `string`", ], "range": { "start": {"line": 2, "character": 11}, "end": {"line": 2, "character": 14}, }, }, powered_by="serverless_ide", ) .request(line=line(), method="shutdown", params={}, result=None) .notification(method="exit", params={}) ) self.run_spec(spec, variables, wait_for_server=False, use_serverless_ide=True) def test_serverless_ide_naming_error2(self) -> None: variables = dict(self.prepare_serverless_ide_environment()) self.test_driver.stop_hh_server() variables.update(self.setup_php_file("naming_error_caller.php")) variables.update( { "contents": self.read_repo_file("naming_error_declaration.php"), "original": self.repo_file("naming_error_declaration.php"), "copy": self.repo_file("naming_error_copy.php"), } ) spec = ( self.initialize_spec( LspTestSpec("serverless_ide_naming_error2"), use_serverless_ide=True ) .notification( method="textDocument/didOpen", params={ "textDocument": { "uri": "${php_file_uri}", "languageId": "hack", "version": 1, "text": "${php_file}", } }, ) .write_to_disk( comment="create copy", uri="${copy}", contents="${contents}", notify=True, ) .write_to_disk( comment="delete copy", uri="${copy}", contents=None, notify=True ) .request( line=line(), comment="hover should work fine after making copy then deleting copy.", method="textDocument/hover", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 15}, }, result={ "contents": [ { "language": "hack", "value": "function naming_error_declaration(): void", }, "Return type: `void`", ], "range": { "start": {"line": 3, "character": 2}, "end": {"line": 3, "character": 26}, }, }, powered_by="serverless_ide", ) .request(line=line(), method="shutdown", params={}, result=None) .notification(method="exit", params={}) ) self.run_spec(spec, variables, wait_for_server=False, use_serverless_ide=True) def test_serverless_ide_naming_error3(self) -> None: variables = dict(self.prepare_serverless_ide_environment()) self.test_driver.stop_hh_server() variables.update(self.setup_php_file("naming_error_caller.php")) variables.update( { "contents": self.read_repo_file("naming_error_declaration.php"), "original": self.repo_file("naming_error_declaration.php"), "copy": self.repo_file("naming_error_copy.php"), } ) spec = ( self.initialize_spec( LspTestSpec("serverless_ide_naming_error3"), use_serverless_ide=True ) .notification( method="textDocument/didOpen", params={ "textDocument": { "uri": "${php_file_uri}", "languageId": "hack", "version": 1, "text": "${php_file}", } }, ) .write_to_disk( comment="create copy", uri="${copy}", contents="${contents}", notify=True, ) .write_to_disk( comment="delete original", uri="${original}", contents=None, notify=True ) .request( line=line(), comment="hover should work fine after making copy then deleting original.", method="textDocument/hover", params={ "textDocument": {"uri": "${php_file_uri}"}, "position": {"line": 3, "character": 15}, }, result={ "contents": [ { "language": "hack", "value": "function naming_error_declaration(): void", }, "Return type: `void`", ], "range": { "start": {"line": 3, "character": 2}, "end": {"line": 3, "character": 26}, }, }, powered_by="serverless_ide", ) .request(line=line(), method="shutdown", params={}, result=None) .notification(method="exit", params={}) ) self.run_spec(spec, variables, wait_for_server=False, use_serverless_ide=True) def test_serverless_ide_requests_before_init(self) -> None: variables = dict(self.prepare_serverless_ide_environment()) variables["root_path"] = self.test_driver.repo_dir self.test_driver.stop_hh_server() spec = ( self.initialize_spec( LspTestSpec("test_serverless_ide_requests_before_init"), use_serverless_ide=True, supports_status=True, supports_init=True, ) .ignore_notifications(method="textDocument/publishDiagnostics") .ignore_requests( comment="Ignore 'initializing...' messages since they're racy", method="window/showStatus", params={ "type": 2, "actions": [{"title": "Restart hh_server"}], "message": "Hack IDE: initializing.\nhh_server: stopped.", "shortMessage": "Hack: initializing", }, ) .ignore_requests( comment="another racy initialization, before we've yet heard from hh_server", method="window/showStatus", params={ "type": 2, "actions": [], "message": "Hack IDE: initializing.", "shortMessage": "Hack: initializing", }, ) .ignore_requests( comment="another racy initialization, if HackIDE is done before hh_server has yet sent status", method="window/showStatus", params={ "type": 3, "actions": [], "message": "Hack IDE: ready.", "shortMessage": "Hack: ready", }, ) .write_to_disk( notify=True, wait=False, uri="file://${root_path}/beforeInit1.php", contents="<?hh // strict\nfunction beforeInit1(): int {\n return 42;\n}\n", ) .notification( comment="open a file before init has finished", method="textDocument/didOpen", params={ "textDocument": { "uri": "file://${root_path}/beforeInit2.php", "languageId": "hack", "version": 1, "text": "<?hh // strict\nfunction beforeInit2(): void {\n $foo = beforeInit1();\n}\n", } }, ) .request( line=line(), comment="hover before init will fail", method="textDocument/hover", params={ "textDocument": {"uri": "file://${root_path}/beforeInit2.php"}, "position": {"line": 2, "character": 4}, }, result=None, ) .request( line=line(), comment="documentSymbol before init will succeed", method="textDocument/documentSymbol", params={"textDocument": {"uri": "file://${root_path}/beforeInit2.php"}}, result=[ { "name": "beforeInit2", "kind": 12, "location": { "uri": "file://${root_path}/beforeInit2.php", "range": { "start": {"line": 1, "character": 0}, "end": {"line": 3, "character": 1}, }, }, } ], powered_by="serverless_ide", ) .wait_for_notification( comment="wait for sIDE to init", method="telemetry/event", params={"type": 4, "message": "[client-ide] Finished init: ok"}, ) .wait_for_server_request( method="window/showStatus", params={ "actions": [{"title": "Restart hh_server"}], "message": "Hack IDE: ready.\nhh_server: stopped.", "shortMessage": "Hack: ready", "type": 3, }, result=NoResponse(), ) .request( line=line(), comment="hover after init will succeed", method="textDocument/hover", params={ "textDocument": {"uri": "file://${root_path}/beforeInit2.php"}, "position": {"line": 2, "character": 4}, }, result={ "contents": [{"language": "hack", "value": "int"}], "range": { "start": {"line": 2, "character": 2}, "end": {"line": 2, "character": 6}, }, }, powered_by="serverless_ide", ) .request(line=line(), method="shutdown", params={}, result=None) .notification(method="exit", params={}) ) self.run_spec(spec, variables, wait_for_server=False, use_serverless_ide=True) def test_serverless_ide_workspace_symbol(self) -> None: variables = dict(self.prepare_serverless_ide_environment()) variables["root_path"] = self.test_driver.repo_dir self.test_driver.stop_hh_server() spec = ( self.initialize_spec( LspTestSpec("serverless_ide_workspace_symbol"), use_serverless_ide=True ) .request( line=line(), comment="workspace symbol call, global, powered by sqlite (generated during serverless-ide-init)", method="workspace/symbol", params={"query": "TakesString"}, result=[ { "name": "TakesString", "kind": 5, "location": { "uri": "file://${root_path}/definition.php", "range": { "start": {"line": 36, "character": 6}, "end": {"line": 36, "character": 17}, }, }, } ], powered_by="serverless_ide", ) .request( line=line(), comment="workspace symbol call, member (derived from naming-table)", method="workspace/symbol", params={"query": "TakesString::"}, result=[ { "name": "__construct", "kind": 6, "location": { "uri": "file://${root_path}/definition.php", "range": { "start": {"line": 37, "character": 18}, "end": {"line": 37, "character": 29}, }, }, } ], powered_by="serverless_ide", ) .request(line=line(), method="shutdown", params={}, result=None) .notification(method="exit", params={}) ) self.run_spec(spec, variables, wait_for_server=False, use_serverless_ide=True)

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0.017852

0.000155

0

null

0

1

0

1

0

null

0

7

8a296a773bafc9087dba6705ad7d749540a9c690

10,584

py

Python

frozen/mcudev/fsmc.py

seelpro/BLACK_F407ZG

d3166a2a5c0d59a9a9e534c9a57f839028badde4

[ "MIT" ]

null

frozen/mcudev/fsmc.py

seelpro/BLACK_F407ZG

d3166a2a5c0d59a9a9e534c9a57f839028badde4

[ "MIT" ]

null

frozen/mcudev/fsmc.py

seelpro/BLACK_F407ZG

d3166a2a5c0d59a9a9e534c9a57f839028badde4

[ "MIT" ]

null

import machine import stm RCC_AHB3ENR_FSMCEN = const(0x01) RCC_AHB1ENR_GPIODEN = const(0x08) RCC_AHB1ENR_GPIOEEN = const(0x10) RCC_AHB1ENR_GPIOFEN = const(0x20) RCC_AHB1ENR_GPIOGEN = const(0x40) FSMC_Banks_base = const(0xA0000000) FSMC_BCR_bank1_offset = const(0x0) FSMC_BTR_bank1_offset = const(0x4) FSMC_BCR_bank2_offset = const(0x8) FSMC_BTR_bank2_offset = const(0xC) FSMC_BCR_bank3_offset = const(0x10) FSMC_BTR_bank3_offset = const(0x14) FSMC_BCR_bank4_offset = const(0x18) FSMC_BTR_bank4_offset = const(0x1c) FSMC_BCRx_MWID_8bit = const(0x00000000) FSMC_BCRx_MWID_16bit = const(0x00000010) FSMC_BCRx_WREN = const(0x00001000) FSMC_BCRx_MBKEN = const(0x1) LCD_REG = const(0x60000000) LCD_RAM = const(0x60080000) LCD_Zx_REG = const(0x6C000000) LCD_Zx_RAM = const(0x6C000080) @micropython.viper def _mem_SET(addr,data): _tmp = data machine.mem32[addr] = _tmp @micropython.viper def _mem_OR(addr,data): _tmp = data machine.mem32[addr] |= _tmp @micropython.viper def _mem_AND_OR(addr,anddata,data): _tmp = anddata machine.mem32[addr] &= _tmp _tmp = data machine.mem32[addr] |= _tmp #class MCU_DevF4Zx_Display(): class FSMC_Display_Zx(): def __init__(self): self.FSMC_BTR1_ADDSET_T = 0x00000001 # ILI9341, 90ns self.FSMC_BTR1_DATAST_T = 0x00000400 # HCLK cycles self.FSMC_BTR1_ADDHLD_T = 0x00000010 self.FSMC_BTR3_ADDSET_T = 0x00000000 self.FSMC_BTR3_DATAST_T = 0x00000000 self.FSMC_BTR3_ADDHLD_T = 0x00000000 @micropython.viper def init_fsmc_disp(self): _mem_OR(stm.RCC + stm.RCC_AHB3ENR,RCC_AHB3ENR_FSMCEN) # FSMC clock enable _mem_OR(stm.RCC + stm.RCC_AHB1ENR, RCC_AHB1ENR_GPIODEN | RCC_AHB1ENR_GPIOEEN | \ RCC_AHB1ENR_GPIOFEN | RCC_AHB1ENR_GPIOGEN) # GPIO clock Enable _mem_AND_OR(stm.GPIOD + stm.GPIO_MODER,0b10101010101010101011101011111010,0b10101010101010101000101000001010) #machine.mem32[stm.GPIOD + stm.GPIO_MODER] = 0b10101010101010101000101000001010 _mem_AND_OR(stm.GPIOE + stm.GPIO_MODER,0b10101010101010101011111111111010,0b10101010101010101000000000001010) #machine.mem32[stm.GPIOE + stm.GPIO_MODER] = 0b10101010101010101000000000001010 _mem_AND_OR(stm.GPIOF + stm.GPIO_MODER,0b10101010111111111111101010101010,0b10101010000000000000101010101010) #machine.mem32[stm.GPIOF + stm.GPIO_MODER] = 0b10101010000000000000101010101010 _mem_AND_OR(stm.GPIOG + stm.GPIO_MODER,0b11111110111011111111101010101010,0b00000010001000000000101010101010) #machine.mem32[stm.GPIOG + stm.GPIO_MODER] = 0b00000010001000000000101010101010 machine.mem32[stm.GPIOD + stm.GPIO_OSPEEDR] = 0xFFFFFFFF # 0x54154525 machine.mem32[stm.GPIOE + stm.GPIO_OSPEEDR] = 0xFFFFFFFF # 0x55554000 machine.mem32[stm.GPIOF + stm.GPIO_OSPEEDR] = 0xFFFFFFFF # machine.mem32[stm.GPIOG + stm.GPIO_OSPEEDR] = 0xFFFFFFFF # # Alternate Function = FSMC = (0x0C) = 12 _mem_AND_OR(stm.GPIOD + stm.GPIO_AFR0,0xFFCCFFCC,0x00CC00CC) #machine.mem32[stm.GPIOD + stm.GPIO_AFR0] = 0x00CC00CC machine.mem32[stm.GPIOD + stm.GPIO_AFR1] = 0xCCCCCCCC _mem_AND_OR(stm.GPIOE + stm.GPIO_AFR0,0xCFFFFFCC,0xC00000CC) #machine.mem32[stm.GPIOE + stm.GPIO_AFR0] = 0xC00000CC machine.mem32[stm.GPIOE + stm.GPIO_AFR1] = 0xCCCCCCCC _mem_AND_OR(stm.GPIOF + stm.GPIO_AFR0,0xFFCCCCCC,0x00CCCCCC) #machine.mem32[stm.GPIOF + stm.GPIO_AFR0] = 0x00CCCCCC _mem_AND_OR(stm.GPIOF + stm.GPIO_AFR1,0xCCCCFFFF,0xCCCC0000) #machine.mem32[stm.GPIOF + stm.GPIO_AFR1] = 0xCCCC0000 _mem_AND_OR(stm.GPIOG + stm.GPIO_AFR0,0xFFCCCCCC,0x00CCCCCC) #machine.mem32[stm.GPIOG + stm.GPIO_AFR0] = 0x00CCCCCC _mem_AND_OR(stm.GPIOG + stm.GPIO_AFR1,0xFFFCFCFF,0x000C0C00) #machine.mem32[stm.GPIOG + stm.GPIO_AFR1] = 0x000C0C00 machine.mem32[FSMC_Banks_base + FSMC_BTR_bank4_offset] = self.FSMC_BTR1_ADDSET_T | self.FSMC_BTR1_DATAST_T | self.FSMC_BTR1_ADDHLD_T # | FSMC_BTR1_CLKDIV_1 | FSMC_BTR1_ACCMOD _mem_SET(FSMC_Banks_base + FSMC_BCR_bank4_offset,FSMC_BCRx_MWID_16bit | FSMC_BCRx_WREN | FSMC_BCRx_MBKEN) @micropython.viper def init_fsmc_ram(self): _mem_OR(stm.RCC + stm.RCC_AHB3ENR,RCC_AHB3ENR_FSMCEN) _mem_OR(stm.RCC + stm.RCC_AHB1ENR, RCC_AHB1ENR_GPIODEN | RCC_AHB1ENR_GPIOEEN | \ RCC_AHB1ENR_GPIOFEN | RCC_AHB1ENR_GPIOGEN) # GPIO clock Enable _mem_AND_OR(stm.GPIOD + stm.GPIO_MODER,0b10101010101010101011101011111010,0b10101010101010101000101000001010) #machine.mem32[stm.GPIOD + stm.GPIO_MODER] = 0b10101010101010101000101000001010 _mem_AND_OR(stm.GPIOE + stm.GPIO_MODER,0b10101010101010101011111111111010,0b10101010101010101000000000001010) #machine.mem32[stm.GPIOE + stm.GPIO_MODER] = 0b10101010101010101000000000001010 _mem_AND_OR(stm.GPIOF + stm.GPIO_MODER,0b10101010111111111111101010101010,0b10101010000000000000101010101010) #machine.mem32[stm.GPIOF + stm.GPIO_MODER] = 0b10101010000000000000101010101010 _mem_AND_OR(stm.GPIOG + stm.GPIO_MODER,0b11111110111011111111101010101010,0b00000010001000000000101010101010) #machine.mem32[stm.GPIOG + stm.GPIO_MODER] = 0b00000010001000000000101010101010 machine.mem32[stm.GPIOD + stm.GPIO_OSPEEDR] = 0xFFFFFFFF machine.mem32[stm.GPIOE + stm.GPIO_OSPEEDR] = 0xFFFFFFFF machine.mem32[stm.GPIOF + stm.GPIO_OSPEEDR] = 0xFFFFFFFF machine.mem32[stm.GPIOG + stm.GPIO_OSPEEDR] = 0xFFFFFFFF _mem_AND_OR(stm.GPIOD + stm.GPIO_AFR0,0xFFCCFFCC,0x00CC00CC) #machine.mem32[stm.GPIOD + stm.GPIO_AFR0] = 0x00CC00CC machine.mem32[stm.GPIOD + stm.GPIO_AFR1] = 0xCCCCCCCC _mem_AND_OR(stm.GPIOE + stm.GPIO_AFR0,0xCFFFFFCC,0xC00000CC) #machine.mem32[stm.GPIOE + stm.GPIO_AFR0] = 0xC00000CC machine.mem32[stm.GPIOE + stm.GPIO_AFR1] = 0xCCCCCCCC _mem_AND_OR(stm.GPIOF + stm.GPIO_AFR0,0xFFCCCCCC,0x00CCCCCC) #machine.mem32[stm.GPIOF + stm.GPIO_AFR0] = 0x00CCCCCC _mem_AND_OR(stm.GPIOF + stm.GPIO_AFR1,0xCCCCFFFF,0xCCCC0000) #machine.mem32[stm.GPIOF + stm.GPIO_AFR1] = 0xCCCC0000 _mem_AND_OR(stm.GPIOG + stm.GPIO_AFR0,0xFFCCCCCC,0x00CCCCCC) #machine.mem32[stm.GPIOG + stm.GPIO_AFR0] = 0x00CCCCCC _mem_AND_OR(stm.GPIOG + stm.GPIO_AFR1,0xFFFCFCFF,0x000C0C00) #machine.mem32[stm.GPIOG + stm.GPIO_AFR1] = 0x000C0C00 machine.mem32[FSMC_Banks_base + FSMC_BTR_bank3_offset] = self.FSMC_BTR3_ADDSET_T | self.FSMC_BTR3_DATAST_T | self.FSMC_BTR3_ADDHLD_T _mem_SET(FSMC_Banks_base + FSMC_BCR_bank3_offset, FSMC_BCRx_MWID_16bit | FSMC_BCRx_WREN | FSMC_BCRx_MBKEN) #class MCU_DevF4Zx_SRAM(): class FSMC_SRAM(): def __init__(self): self.FSMC_BTR3_ADDSET_T = 0x00000000 self.FSMC_BTR3_DATAST_T = 0x00000000 self.FSMC_BTR3_ADDHLD_T = 0x00000000 @micropython.viper def init_fsmc_ram(self): _mem_OR(stm.RCC + stm.RCC_AHB3ENR,RCC_AHB3ENR_FSMCEN) _mem_OR(stm.RCC + stm.RCC_AHB1ENR, RCC_AHB1ENR_GPIODEN | RCC_AHB1ENR_GPIOEEN | \ RCC_AHB1ENR_GPIOFEN | RCC_AHB1ENR_GPIOGEN) # GPIO clock Enable machine.mem32[stm.GPIOD + stm.GPIO_MODER] = 0b10101010101010101000101000001010 machine.mem32[stm.GPIOE + stm.GPIO_MODER] = 0b10101010101010101000000000001010 machine.mem32[stm.GPIOF + stm.GPIO_MODER] = 0b10101010000000000000101010101010 machine.mem32[stm.GPIOG + stm.GPIO_MODER] = 0b00000010001000000000101010101010 machine.mem32[stm.GPIOD + stm.GPIO_OSPEEDR] = 0xFFFFFFFF machine.mem32[stm.GPIOE + stm.GPIO_OSPEEDR] = 0xFFFFFFFF machine.mem32[stm.GPIOF + stm.GPIO_OSPEEDR] = 0xFFFFFFFF machine.mem32[stm.GPIOG + stm.GPIO_OSPEEDR] = 0xFFFFFFFF machine.mem32[stm.GPIOD + stm.GPIO_AFR0] = 0x00CC00CC machine.mem32[stm.GPIOD + stm.GPIO_AFR1] = 0xCCCCCCCC machine.mem32[stm.GPIOE + stm.GPIO_AFR0] = 0xC00000CC machine.mem32[stm.GPIOE + stm.GPIO_AFR1] = 0xCCCCCCCC machine.mem32[stm.GPIOF + stm.GPIO_AFR0] = 0x00CCCCCC machine.mem32[stm.GPIOF + stm.GPIO_AFR1] = 0xCCCC0000 machine.mem32[stm.GPIOG + stm.GPIO_AFR0] = 0x00CCCCCC machine.mem32[stm.GPIOG + stm.GPIO_AFR1] = 0x000C0C00 machine.mem32[FSMC_Banks_base + FSMC_BTR_bank3_offset] = self.FSMC_BTR3_ADDSET_T | self.FSMC_BTR3_DATAST_T | self.FSMC_BTR3_ADDHLD_T _mem_SET(FSMC_Banks_base + FSMC_BCR_bank3_offset, FSMC_BCRx_MWID_16bit | FSMC_BCRx_WREN | FSMC_BCRx_MBKEN) #class MCU_DevF4Vx_Display(): class FSMC_Display_Vx(): def __init__(self): _mem_OR(stm.RCC + stm.RCC_AHB3ENR,RCC_AHB3ENR_FSMCEN) _mem_OR(stm.RCC + stm.RCC_AHB1ENR, RCC_AHB1ENR_GPIODEN | RCC_AHB1ENR_GPIOEEN) self.FSMC_BTR1_ADDSET_T = 0x00000001 self.FSMC_BTR1_DATAST_T = 0x00000400 self.FSMC_BCR1_MWID_0 = 0x00000010 self.FSMC_BCR1_WREN = 0x00001000 self.FSMC_BCR1_MBKEN = 0x1 self.FSMC_BTR1_ADDHLD_0 = 0x00000010 @micropython.viper def init_fsmc_disp(self): _mem_OR(stm.RCC + stm.RCC_AHB3ENR,RCC_AHB3ENR_FSMCEN) _mem_OR(stm.RCC + stm.RCC_AHB1ENR, RCC_AHB1ENR_GPIODEN | RCC_AHB1ENR_GPIOEEN) # 10 10 10 00 00 10 10 10 10 00 10 10 00 10 10 10 machine.mem32[stm.GPIOD + stm.GPIO_MODER] = 0b10101000001010101000101000101010 machine.mem32[stm.GPIOE + stm.GPIO_MODER] = 0xAAAA8000 machine.mem32[stm.GPIOD + stm.GPIO_OSPEEDR] = 0xFFFFFFFF machine.mem32[stm.GPIOE + stm.GPIO_OSPEEDR] = 0xFFFFFFFF machine.mem32[stm.GPIOD + stm.GPIO_AFR0] = ( (0b1100<<(4*0)) | (0b1100<<(4*1)) | (0b1100<<(4*2)) | (0b1100<<(4*4)) | (0b1100<<(4*5)) | (0b1100<<(4*7)) ) machine.mem32[stm.GPIOD + stm.GPIO_AFR1] = ( (0b1100<<(4*(8-8))) | (0b1100<<(4*(9-8))) | (0b1100<<(4*(10-8))) | (0b1100<<(4*(13-8))) | (0b1100<<(4*(14-8))) | (0b1100<<(4*(15-8)))) machine.mem32[stm.GPIOE + stm.GPIO_AFR0] = 0b1100<<(4*7) machine.mem32[stm.GPIOE + stm.GPIO_AFR1] = 0xCCCCCCCC machine.mem32[FSMC_Banks_base + FSMC_BCR_bank1_offset] = self.FSMC_BTR1_ADDSET_T | self.FSMC_BTR1_DATAST_T | self.FSMC_BTR1_ADDHLD_0 # | FSMC_BTR1_CLKDIV_1 | FSMC_BTR1_ACCMOD _mem_SET(FSMC_Banks_base + FSMC_BCR_bank1_offset, FSMC_BCRx_MWID_16bit | FSMC_BCRx_WREN | FSMC_BCRx_MBKEN)

57.210811

188

0.716648

1,365

10,584

5.211722

0.104762

0.074782

0.118077

0.030925

0.844532

0.832584

0.810374

0.788445

0.738825

0

0.209456

0.186697

10,584

184

189

57.521739

0.616984

0.155045

0

0.604167

0

0.089153

0

1

0.069444

false

0

0.013889

0

0.104167

0

null

0

1

0

1

0

null

0

7

8a367104f4ebbefefacc0d9fb84442ada945d66f

144

py

Python

utils/__init__.py

ravi-0841/Emocon

acf713ddc26999f66416acb490045ea3c1db1ab7

[ "MIT" ]

1

2019-11-14T09:56:17.000Z

utils/__init__.py

ravi-0841/Emocon

acf713ddc26999f66416acb490045ea3c1db1ab7

[ "MIT" ]

null

utils/__init__.py

ravi-0841/Emocon

acf713ddc26999f66416acb490045ea3c1db1ab7

[ "MIT" ]

null

from get_features import * from predict_params import * from predict_pitch import * from predict_energy import * from generate_waveform import *

28.8

31

0.833333

20

144

5.75

0.5

0.347826

0.443478

0

0.131944

144

5

31

28.8

0.92

0

1

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

1

0

null

0

1

0

1

0

1

0

8

8a7cf5797e83bf032fabdc0f334ffb9b7945cd59

7,224

py

Python

test/test_feature.py

hirano1412/bdpy

cee6f36dcdf4f4d29fc3a6980777e1c3d7c66cbb

[ "MIT" ]

18

2018-01-22T04:18:48.000Z

2022-03-12T09:42:03.000Z

test/test_feature.py

hirano1412/bdpy

cee6f36dcdf4f4d29fc3a6980777e1c3d7c66cbb

[ "MIT" ]

13

2018-05-01T08:31:14.000Z

2022-02-21T06:45:34.000Z

test/test_feature.py

hirano1412/bdpy

cee6f36dcdf4f4d29fc3a6980777e1c3d7c66cbb

[ "MIT" ]

15

2019-03-04T02:43:46.000Z

2022-02-17T00:41:47.000Z

from unittest import TestCase, TestLoader, TextTestRunner import numpy as np from bdpy.feature import normalize_feature class TestUtilFeature(TestCase): def test_normalize_feature_1d(self): feat = np.random.rand(4096) feat_mean0 = np.random.rand(1, 1) feat_std0 = np.random.rand(1, 1) ddof = 1 feat_mean_ch = np.mean(feat, axis=None, keepdims=True) feat_mean_all = np.mean(feat, axis=None, keepdims=True) feat_std_ch = np.std(feat, axis=None, ddof=ddof, keepdims=True) feat_std_all = np.mean(np.std(feat, axis=None, ddof=ddof, keepdims=True), keepdims=True) # Mean (channel-wise) + SD (channel-wise) feat_valid = ((feat - feat_mean_ch) / feat_std_ch) * feat_std0 + feat_mean0 feat_test = normalize_feature(feat, channel_axis=0, channel_wise_mean=True, channel_wise_std=True, shift=feat_mean0, scale=feat_std0, std_ddof=1) np.testing.assert_array_equal(feat_test, feat_valid) # Mean (channel-wise) + SD (all) feat_valid = ((feat - feat_mean_ch) / feat_std_all) * feat_std0 + feat_mean0 feat_test = normalize_feature(feat, channel_axis=0, channel_wise_mean=True, channel_wise_std=False, shift=feat_mean0, scale=feat_std0, std_ddof=1) np.testing.assert_array_equal(feat_test, feat_valid) # Mean (all) + SD (channel-wise) feat_valid = ((feat - feat_mean_all) / feat_std_ch) * feat_std0 + feat_mean0 feat_test = normalize_feature(feat, channel_axis=0, channel_wise_mean=False, channel_wise_std=True, shift=feat_mean0, scale=feat_std0, std_ddof=1) np.testing.assert_array_equal(feat_test, feat_valid) # Mean (all) + SD (all) feat_valid = ((feat - feat_mean_all) / feat_std_all) * feat_std0 + feat_mean0 feat_test = normalize_feature(feat, channel_axis=0, channel_wise_mean=False, channel_wise_std=False, shift=feat_mean0, scale=feat_std0, std_ddof=1) np.testing.assert_array_equal(feat_test, feat_valid) # Mean (channel-wise) + SD (channel-wise), self-mean shift feat_valid = ((feat - feat_mean_ch) / feat_std_ch) * feat_std0 + feat_mean_ch feat_test = normalize_feature(feat, channel_axis=0, channel_wise_mean=True, channel_wise_std=True, shift='self', scale=feat_std0, std_ddof=1) np.testing.assert_array_equal(feat_test, feat_valid) # Mean (channel-wise) + SD (channel-wise), self-mean shift and self-SD scale feat_valid = ((feat - feat_mean_ch) / feat_std_ch) * feat_std_ch + feat_mean_ch feat_test = normalize_feature(feat, channel_axis=0, channel_wise_mean=True, channel_wise_std=True, shift='self', scale='self', std_ddof=1) np.testing.assert_array_equal(feat_test, feat_valid) def test_normalize_feature_3d(self): feat = np.random.rand(64, 16, 16) feat_mean0 = np.random.rand(64, 1, 1) feat_std0 = np.random.rand(64, 1, 1) ddof = 1 feat_mean_ch = np.mean(feat, axis=(1, 2), keepdims=True) feat_mean_all = np.mean(feat, axis=None, keepdims=True) feat_std_ch = np.std(feat, axis=(1, 2), ddof=ddof, keepdims=True) feat_std_all = np.mean(np.std(feat, axis=(1, 2), ddof=ddof, keepdims=True), keepdims=True) axes_along = (1, 2) # Mean (channel-wise) + SD (channel-wise) feat_valid = ((feat - feat_mean_ch) / feat_std_ch) * feat_std0 + feat_mean0 feat_test = normalize_feature(feat, channel_axis=0, channel_wise_mean=True, channel_wise_std=True, shift=feat_mean0, scale=feat_std0, std_ddof=1) np.testing.assert_array_equal(feat_test, feat_valid) # Mean (channel-wise) + SD (all) feat_valid = ((feat - feat_mean_ch) / feat_std_all) * feat_std0 + feat_mean0 feat_test = normalize_feature(feat, channel_axis=0, channel_wise_mean=True, channel_wise_std=False, shift=feat_mean0, scale=feat_std0, std_ddof=1) np.testing.assert_array_equal(feat_test, feat_valid) # Mean (all) + SD (channel-wise) feat_valid = ((feat - feat_mean_all) / feat_std_ch) * feat_std0 + feat_mean0 feat_test = normalize_feature(feat, channel_axis=0, channel_wise_mean=False, channel_wise_std=True, shift=feat_mean0, scale=feat_std0, std_ddof=1) np.testing.assert_array_equal(feat_test, feat_valid) # Mean (all) + SD (all) feat_valid = ((feat - feat_mean_all) / feat_std_all) * feat_std0 + feat_mean0 feat_test = normalize_feature(feat, channel_axis=0, channel_wise_mean=False, channel_wise_std=False, shift=feat_mean0, scale=feat_std0, std_ddof=1) np.testing.assert_array_equal(feat_test, feat_valid) # Mean (channel-wise) + SD (channel-wise), self-mean shift feat_valid = ((feat - feat_mean_ch) / feat_std_ch) * feat_std0 + feat_mean_ch feat_test = normalize_feature(feat, channel_axis=0, channel_wise_mean=True, channel_wise_std=True, shift='self', scale=feat_std0, std_ddof=1) np.testing.assert_array_equal(feat_test, feat_valid) # Mean (channel-wise) + SD (channel-wise), self-mean shift and self-SD scale feat_valid = ((feat - feat_mean_ch) / feat_std_ch) * feat_std_ch + feat_mean_ch feat_test = normalize_feature(feat, channel_axis=0, channel_wise_mean=True, channel_wise_std=True, shift='self', scale='self', std_ddof=1) # SD scaling only feat_valid = (feat / feat_std_all) * feat_std0 feat_test = normalize_feature(feat, scaling_only=True, channel_wise_std=False, scale=feat_std0, std_ddof=1) np.testing.assert_array_equal(feat_test, feat_valid) if __name__ == '__main__': suite = TestLoader().loadTestsFromTestCase(TestUtilFeature) TextTestRunner(verbosity=2).run(suite)

46.606452

102

0.557032

869

7,224

4.286536

0.071346

0.121074

0.080537

0.059329

0.910604

0.879195

0.86255

0.850738

0.849664

0.842148

0

0.021874

0.354513

7,224

154

103

46.909091

0.776968

0.072951

0

0.747573

0

0.004788

0

0.116505

1

0.019417

false

0

0.029126

0

0.058252

0

null

0

1

0

1

0

null

0

7

8aa1068bbb1315de8443a574e7e9c846e96c5cee

7,248

py

Python

tests/garage/torch/policies/test_gaussian_mlp_policy.py

st2yang/garage

50186a9630df038aeba36d6b06b006ab32ed48f5

[ "MIT" ]

null

tests/garage/torch/policies/test_gaussian_mlp_policy.py

st2yang/garage

50186a9630df038aeba36d6b06b006ab32ed48f5

[ "MIT" ]

null

tests/garage/torch/policies/test_gaussian_mlp_policy.py

st2yang/garage

50186a9630df038aeba36d6b06b006ab32ed48f5

[ "MIT" ]

null

"""Test Gaussian MLP Policy.""" import pickle import numpy as np import pytest import torch from torch import nn from garage.envs import GarageEnv from garage.torch.policies import GaussianMLPPolicy from tests.fixtures.envs.dummy import DummyBoxEnv class TestGaussianMLPPolicies: """Class for Testing Gaussian MlP Policy.""" # yapf: disable @pytest.mark.parametrize('hidden_sizes', [ (1, ), (2, ), (3, ), (1, 4), (3, 5)]) # yapf: enable def test_get_action(self, hidden_sizes): """Test get_action function.""" env_spec = GarageEnv(DummyBoxEnv()) obs_dim = env_spec.observation_space.flat_dim act_dim = env_spec.action_space.flat_dim obs = torch.ones(obs_dim, dtype=torch.float32) init_std = 2. policy = GaussianMLPPolicy(env_spec=env_spec, hidden_sizes=hidden_sizes, init_std=init_std, hidden_nonlinearity=None, std_parameterization='exp', hidden_w_init=nn.init.ones_, output_w_init=nn.init.ones_) dist = policy(obs)[0] expected_mean = torch.full( (act_dim, ), obs_dim * (torch.Tensor(hidden_sizes).prod().item())) expected_variance = init_std**2 action, prob = policy.get_action(obs) assert np.array_equal(prob['mean'], expected_mean.numpy()) assert dist.variance.equal(torch.full((act_dim, ), expected_variance)) assert action.shape == (act_dim, ) # yapf: disable @pytest.mark.parametrize('hidden_sizes', [ (1, ), (2, ), (3, ), (1, 4), (3, 5)]) # yapf: enable def test_get_action_np(self, hidden_sizes): """Test get_action function with numpy inputs.""" env_spec = GarageEnv(DummyBoxEnv()) obs_dim = env_spec.observation_space.flat_dim act_dim = env_spec.action_space.flat_dim obs = np.ones(obs_dim, dtype=np.float32) init_std = 2. policy = GaussianMLPPolicy(env_spec=env_spec, hidden_sizes=hidden_sizes, init_std=init_std, hidden_nonlinearity=None, std_parameterization='exp', hidden_w_init=nn.init.ones_, output_w_init=nn.init.ones_) dist = policy(torch.from_numpy(obs))[0] expected_mean = torch.full( (act_dim, ), obs_dim * (torch.Tensor(hidden_sizes).prod().item())) expected_variance = init_std**2 action, prob = policy.get_action(obs) assert np.array_equal(prob['mean'], expected_mean.numpy()) assert dist.variance.equal(torch.full((act_dim, ), expected_variance)) assert action.shape == (act_dim, ) # yapf: disable @pytest.mark.parametrize('batch_size, hidden_sizes', [ (1, (1, )), (5, (3, )), (8, (4, )), (15, (1, 2)), (30, (3, 4, 10)), ]) # yapf: enable def test_get_actions(self, batch_size, hidden_sizes): """Test get_actions function.""" env_spec = GarageEnv(DummyBoxEnv()) obs_dim = env_spec.observation_space.flat_dim act_dim = env_spec.action_space.flat_dim obs = torch.ones([batch_size, obs_dim], dtype=torch.float32) init_std = 2. policy = GaussianMLPPolicy(env_spec=env_spec, hidden_sizes=hidden_sizes, init_std=init_std, hidden_nonlinearity=None, std_parameterization='exp', hidden_w_init=nn.init.ones_, output_w_init=nn.init.ones_) dist = policy(obs)[0] expected_mean = torch.full([batch_size, act_dim], obs_dim * (torch.Tensor(hidden_sizes).prod().item())) expected_variance = init_std**2 action, prob = policy.get_actions(obs) assert np.array_equal(prob['mean'], expected_mean.numpy()) assert dist.variance.equal( torch.full((batch_size, act_dim), expected_variance)) assert action.shape == (batch_size, act_dim) # yapf: disable @pytest.mark.parametrize('batch_size, hidden_sizes', [ (1, (1, )), (5, (3, )), (8, (4, )), (15, (1, 2)), (30, (3, 4, 10)), ]) # yapf: enable def test_get_actions_np(self, batch_size, hidden_sizes): """Test get_actions function with numpy inputs.""" env_spec = GarageEnv(DummyBoxEnv()) obs_dim = env_spec.observation_space.flat_dim act_dim = env_spec.action_space.flat_dim obs = np.ones((batch_size, obs_dim), dtype=np.float32) init_std = 2. policy = GaussianMLPPolicy(env_spec=env_spec, hidden_sizes=hidden_sizes, init_std=init_std, hidden_nonlinearity=None, std_parameterization='exp', hidden_w_init=nn.init.ones_, output_w_init=nn.init.ones_) dist = policy(torch.from_numpy(obs))[0] expected_mean = torch.full([batch_size, act_dim], obs_dim * (torch.Tensor(hidden_sizes).prod().item())) expected_variance = init_std**2 action, prob = policy.get_actions(obs) assert np.array_equal(prob['mean'], expected_mean.numpy()) assert dist.variance.equal( torch.full((batch_size, act_dim), expected_variance)) assert action.shape == (batch_size, act_dim) # yapf: disable @pytest.mark.parametrize('batch_size, hidden_sizes', [ (1, (1, )), (6, (3, )), (11, (6, )), (25, (3, 5)), (34, (2, 10, 11)), ]) # yapf: enable def test_is_pickleable(self, batch_size, hidden_sizes): """Test if policy is pickleable.""" env_spec = GarageEnv(DummyBoxEnv()) obs_dim = env_spec.observation_space.flat_dim obs = torch.ones([batch_size, obs_dim], dtype=torch.float32) init_std = 2. policy = GaussianMLPPolicy(env_spec=env_spec, hidden_sizes=hidden_sizes, init_std=init_std, hidden_nonlinearity=None, std_parameterization='exp', hidden_w_init=nn.init.ones_, output_w_init=nn.init.ones_) output1_action, output1_prob = policy.get_actions(obs) p = pickle.dumps(policy) policy_pickled = pickle.loads(p) output2_action, output2_prob = policy_pickled.get_actions(obs) assert np.array_equal(output1_prob['mean'], output2_prob['mean']) assert output1_action.shape == output2_action.shape

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76efdbe4e5a700ae903bf5f000c6c4581203a1c8

87,788

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Python

TWLight/resources/migrations/0001_initial_squashed_0062_auto_20190220_1639.py

nicole331/TWLight

fab9002e76868f8a2ef36f9279c777de34243b2c

[ "MIT" ]

67

2017-12-14T22:27:48.000Z

2022-03-13T18:21:31.000Z

TWLight/resources/migrations/0001_initial_squashed_0062_auto_20190220_1639.py

nicole331/TWLight

fab9002e76868f8a2ef36f9279c777de34243b2c

[ "MIT" ]

433

2017-03-24T22:51:23.000Z

2022-03-31T19:36:22.000Z

TWLight/resources/migrations/0001_initial_squashed_0062_auto_20190220_1639.py

Mahuton/TWLight

90b299d07b0479f21dc90e17b8d05f5a221b0de1

[ "MIT" ]

105

2017-06-23T03:53:41.000Z

2022-03-30T17:24:29.000Z

# Generated by Django 3.0.11 on 2021-01-31 06:22 import TWLight.resources.models import datetime from django.conf import settings import django.core.validators from django.db import migrations, models import django.db.models.manager from django.utils.timezone import utc import django_countries.fields # Functions from the following migrations need manual copying. # Move them and any dependencies into this file, then update the # RunPython operations to refer to the local versions: # TWLight.resources.migrations.0013_auto_20161207_1505 # TWLight.resources.migrations.0015_auto_20161208_1526 # TWLight.resources.migrations.0020_move_to_internal_durationfield # Functions from the following migrations need skipped # TWLight.resources.migrations.0045_migrate_tags def fix_partner_status(apps, schema_editor): Partner = apps.get_model("resources", "Partner") for partner in Partner.objects.all(): # This should be Partner.AVAILABLE. We can't reference that directly # since it's not available to the migrations, though. Careful! partner.status = 0 partner.save() def initialize_languages(apps, schema_editor): """ Make sure the database starts with a few languages we know Partners offer. (This will also make it easier for administrators to use the language field in the admin site.) """ Language = apps.get_model("resources", "Language") basic_codes = ["en", "fr", "fa"] for code in basic_codes: lang = Language(language=code) lang.save() def copy_access_grant_terms(apps, schema_editor): Partner = apps.get_model("resources", "Partner") # Although this looks like it should only get AVAILABLE Partners (since # we've defined a custom manager), in fact it uses the Django default # internal manager and finds all Partners. for partner in Partner.objects.all(): partner.access_grant_term_pythonic = partner.access_grant_term partner.save() def delete_access_grant_terms(apps, schema_editor): Partner = apps.get_model("resources", "Partner") for partner in Partner.objects.all(): partner.access_grant_term_pythonic = None partner.save() class Migration(migrations.Migration): dependencies = [ ("contenttypes", "0002_remove_content_type_name"), migrations.swappable_dependency(settings.AUTH_USER_MODEL), ] operations = [ migrations.CreateModel( name="Partner", fields=[ ( "id", models.AutoField( auto_created=True, primary_key=True, serialize=False, verbose_name="ID", ), ), ( "company_name", models.CharField( help_text="Partner organization's name (e.g. McFarland). Note: this will be user-visible and *not translated*.", max_length=40, ), ), ( "terms_of_use", models.URLField( blank=True, help_text="Link to terms of use. Required if this company requires that users agree to terms of use as a condition of applying for access; optional otherwise.", null=True, ), ), ( "description", models.TextField( blank=True, help_text=b"Optional description of this partner's offerings.", null=True, ), ), ( "mutually_exclusive", models.BooleanField( default=None, null=True, help_text=b"If True, users can only apply for one Stream at a time from this Partner. If False, users can apply for multiple Streams at a time. This field must be filled in when Partners have multiple Streams, but may be left blank otherwise.", ), ), ( "real_name", models.BooleanField( default=False, help_text="Mark as true if this partner requires applicants to specify their real names.", ), ), ( "country_of_residence", models.BooleanField( default=False, help_text="Mark as true if this partner requires applicants to specify their countries of residence.", ), ), ( "specific_title", models.BooleanField( default=False, help_text="Mark as true if this partner requires applicants to specify a particular title they want to access.", ), ), ( "specific_stream", models.BooleanField( default=False, help_text="Mark as true if this partner requires applicants to specify a particular database they want to access.", ), ), ( "occupation", models.BooleanField( default=False, help_text="Mark as true if this partner requires applicants to specify their occupation.", ), ), ( "affiliation", models.BooleanField( default=False, help_text="Mark as true if this partner requires applicants to specify their institutional affiliation.", ), ), ( "agreement_with_terms_of_use", models.BooleanField( default=False, help_text="Mark as true if this partner requires applicants to agree with the partner's terms of use.", ), ), ( "access_grant_term", models.DurationField( blank=True, help_text=b"The standard length of an access grant from this Partner. Enter like '365 days' or '365d' or '1 year'.", null=True, ), ), ( "date_created", models.DateField( auto_now_add=True, default=datetime.datetime( 2016, 5, 9, 19, 18, 3, 475335, tzinfo=utc ), ), ), ( "logo_url", models.URLField( blank=True, help_text="Optional URL of an image that can be used to represent this partner.", null=True, ), ), ( "status", models.IntegerField( choices=[(0, "Available"), (1, "Not available")], default=1 ), ), ], options={ "verbose_name": "partner", "verbose_name_plural": "partners", "ordering": ["company_name"], }, ), migrations.CreateModel( name="Stream", fields=[ ( "id", models.AutoField( auto_created=True, primary_key=True, serialize=False, verbose_name="ID", ), ), ( "name", models.CharField( help_text=b"Name of stream (e.g. 'Health and Behavioral Sciences). Will be user-visible and *not translated*. Do not include the name of the partner here. If partner name and resource name need to be presented together, templates are responsible for presenting them in a format that can be internationalized.", max_length=50, ), ), ( "description", models.TextField( blank=True, help_text=b"Optional description of this stream's contents.", null=True, ), ), ( "partner", models.ForeignKey( on_delete=django.db.models.deletion.CASCADE, related_name="streams", to="resources.Partner", ), ), ], options={ "verbose_name": "collection", "verbose_name_plural": "collections", "ordering": ["partner", "name"], }, ), migrations.CreateModel( name="Contact", fields=[ ( "id", models.AutoField( auto_created=True, primary_key=True, serialize=False, verbose_name="ID", ), ), ( "title", models.CharField( help_text="Organizational role or job title. This is NOT intended to be used for honorifics.", max_length=30, ), ), ("email", models.EmailField(max_length=75)), ("full_name", models.CharField(max_length=50)), ( "short_name", models.CharField( help_text=b"The form of the contact person's name to use in email greetings (as in 'Hi Jake')", max_length=15, ), ), ( "partner", models.ForeignKey( on_delete=django.db.models.deletion.CASCADE, related_name="contacts", to="resources.Partner", ), ), ], options={ "verbose_name": "contact person", "verbose_name_plural": "contact people", }, ), migrations.RunPython( code=fix_partner_status, ), migrations.CreateModel( name="Language", fields=[ ( "id", models.AutoField( auto_created=True, primary_key=True, serialize=False, verbose_name="ID", ), ), ( "language", models.CharField( choices=[ (b"af", b"Afrikaans"), (b"ar", b"Arabic"), (b"ast", b"Asturian"), (b"az", b"Azerbaijani"), (b"bg", b"Bulgarian"), (b"be", b"Belarusian"), (b"bn", b"Bengali"), (b"br", b"Breton"), (b"bs", b"Bosnian"), (b"ca", b"Catalan"), (b"cs", b"Czech"), (b"cy", b"Welsh"), (b"da", b"Danish"), (b"de", b"German"), (b"el", b"Greek"), (b"en", b"English"), (b"en-au", b"Australian English"), (b"en-gb", b"British English"), (b"eo", b"Esperanto"), (b"es", b"Spanish"), (b"es-ar", b"Argentinian Spanish"), (b"es-mx", b"Mexican Spanish"), (b"es-ni", b"Nicaraguan Spanish"), (b"es-ve", b"Venezuelan Spanish"), (b"et", b"Estonian"), (b"eu", b"Basque"), (b"fa", b"Persian"), (b"fi", b"Finnish"), (b"fr", b"French"), (b"fy", b"Frisian"), (b"ga", b"Irish"), (b"gl", b"Galician"), (b"he", b"Hebrew"), (b"hi", b"Hindi"), (b"hr", b"Croatian"), (b"hu", b"Hungarian"), (b"ia", b"Interlingua"), (b"id", b"Indonesian"), (b"io", b"Ido"), (b"is", b"Icelandic"), (b"it", b"Italian"), (b"ja", b"Japanese"), (b"ka", b"Georgian"), (b"kk", b"Kazakh"), (b"km", b"Khmer"), (b"kn", b"Kannada"), (b"ko", b"Korean"), (b"lb", b"Luxembourgish"), (b"lt", b"Lithuanian"), (b"lv", b"Latvian"), (b"mk", b"Macedonian"), (b"ml", b"Malayalam"), (b"mn", b"Mongolian"), (b"mr", b"Marathi"), (b"my", b"Burmese"), (b"nb", b"Norwegian Bokmal"), (b"ne", b"Nepali"), (b"nl", b"Dutch"), (b"nn", b"Norwegian Nynorsk"), (b"os", b"Ossetic"), (b"pa", b"Punjabi"), (b"pl", b"Polish"), (b"pt", b"Portuguese"), (b"pt-br", b"Brazilian Portuguese"), (b"ro", b"Romanian"), (b"ru", b"Russian"), (b"sk", b"Slovak"), (b"sl", b"Slovenian"), (b"sq", b"Albanian"), (b"sr", b"Serbian"), (b"sr-latn", b"Serbian Latin"), (b"sv", b"Swedish"), (b"sw", b"Swahili"), (b"ta", b"Tamil"), (b"te", b"Telugu"), (b"th", b"Thai"), (b"tr", b"Turkish"), (b"tt", b"Tatar"), (b"udm", b"Udmurt"), (b"uk", b"Ukrainian"), (b"ur", b"Urdu"), (b"vi", b"Vietnamese"), (b"zh-cn", b"Simplified Chinese"), (b"zh-hans", b"Simplified Chinese"), (b"zh-hant", b"Traditional Chinese"), (b"zh-tw", b"Traditional Chinese"), ], error_messages={ b"invalid_choice": "You must enter an ISO language code, as in the LANGUAGES setting at https://github.com/django/django/blob/master/django/conf/global_settings.py" }, max_length=8, ), ), ], options={ "verbose_name": "Language", "verbose_name_plural": "Languages", }, ), migrations.AddField( model_name="partner", name="languages", field=models.ManyToManyField( blank=True, null=True, to="resources.Language" ), ), migrations.AlterField( model_name="partner", name="status", field=models.IntegerField( choices=[(0, "Available"), (1, "Not available")], default=1, help_text="Should this Partner be displayed to end users? Is it open for applications right now?", ), ), migrations.RunPython( code=initialize_languages, ), migrations.AddField( model_name="stream", name="languages", field=models.ManyToManyField( blank=True, null=True, to="resources.Language" ), ), migrations.AlterField( model_name="language", name="language", field=models.CharField( choices=[ (b"af", b"Afrikaans"), (b"ar", b"Arabic"), (b"ast", b"Asturian"), (b"az", b"Azerbaijani"), (b"bg", b"Bulgarian"), (b"be", b"Belarusian"), (b"bn", b"Bengali"), (b"br", b"Breton"), (b"bs", b"Bosnian"), (b"ca", b"Catalan"), (b"cs", b"Czech"), (b"cy", b"Welsh"), (b"da", b"Danish"), (b"de", b"German"), (b"el", b"Greek"), (b"en", b"English"), (b"en-au", b"Australian English"), (b"en-gb", b"British English"), (b"eo", b"Esperanto"), (b"es", b"Spanish"), (b"es-ar", b"Argentinian Spanish"), (b"es-mx", b"Mexican Spanish"), (b"es-ni", b"Nicaraguan Spanish"), (b"es-ve", b"Venezuelan Spanish"), (b"et", b"Estonian"), (b"eu", b"Basque"), (b"fa", b"Persian"), (b"fi", b"Finnish"), (b"fr", b"French"), (b"fy", b"Frisian"), (b"ga", b"Irish"), (b"gl", b"Galician"), (b"he", b"Hebrew"), (b"hi", b"Hindi"), (b"hr", b"Croatian"), (b"hu", b"Hungarian"), (b"ia", b"Interlingua"), (b"id", b"Indonesian"), (b"io", b"Ido"), (b"is", b"Icelandic"), (b"it", b"Italian"), (b"ja", b"Japanese"), (b"ka", b"Georgian"), (b"kk", b"Kazakh"), (b"km", b"Khmer"), (b"kn", b"Kannada"), (b"ko", b"Korean"), (b"lb", b"Luxembourgish"), (b"lt", b"Lithuanian"), (b"lv", b"Latvian"), (b"mk", b"Macedonian"), (b"ml", b"Malayalam"), (b"mn", b"Mongolian"), (b"mr", b"Marathi"), (b"my", b"Burmese"), (b"nb", b"Norwegian Bokmal"), (b"ne", b"Nepali"), (b"nl", b"Dutch"), (b"nn", b"Norwegian Nynorsk"), (b"os", b"Ossetic"), (b"pa", b"Punjabi"), (b"pl", b"Polish"), (b"pt", b"Portuguese"), (b"pt-br", b"Brazilian Portuguese"), (b"ro", b"Romanian"), (b"ru", b"Russian"), (b"sk", b"Slovak"), (b"sl", b"Slovenian"), (b"sq", b"Albanian"), (b"sr", b"Serbian"), (b"sr-latn", b"Serbian Latin"), (b"sv", b"Swedish"), (b"sw", b"Swahili"), (b"ta", b"Tamil"), (b"te", b"Telugu"), (b"th", b"Thai"), (b"tr", b"Turkish"), (b"tt", b"Tatar"), (b"udm", b"Udmurt"), (b"uk", b"Ukrainian"), (b"ur", b"Urdu"), (b"vi", b"Vietnamese"), (b"zh-cn", b"Simplified Chinese"), (b"zh-hans", b"Simplified Chinese"), (b"zh-hant", b"Traditional Chinese"), (b"zh-tw", b"Traditional Chinese"), ], max_length=8, unique=True, validators=[TWLight.resources.models.validate_language_code], ), ), migrations.AlterField( model_name="contact", name="title", field=models.CharField( help_text="Organizational role or job title. This is NOT intended to be used for honorifics. Think 'Director of Editorial Services', not 'Ms.'", max_length=75, ), ), migrations.AddField( model_name="partner", name="access_grant_term_pythonic", field=models.DurationField( blank=True, default=datetime.timedelta(days=365), null=True ), ), migrations.AlterField( model_name="contact", name="email", field=models.EmailField(max_length=254), ), migrations.RunPython( code=copy_access_grant_terms, reverse_code=delete_access_grant_terms, ), migrations.RemoveField( model_name="partner", name="access_grant_term", ), migrations.RenameField( model_name="partner", old_name="access_grant_term_pythonic", new_name="access_grant_term", ), migrations.RemoveField( model_name="partner", name="access_grant_term", ), migrations.AlterField( model_name="partner", name="description", field=models.TextField( blank=True, help_text="Optional description of this partner's offerings. You can enter HTML and it should render properly - if it does not, the developer forgot a | safe filter in the template.", null=True, ), ), migrations.AlterField( model_name="stream", name="description", field=models.TextField( blank=True, help_text="Optional description of this stream's contents. You can enter HTML and it should render properly - if it does not, the developer forgot a | safe filter in the template.", null=True, ), ), migrations.AlterField( model_name="partner", name="description", field=models.TextField( blank=True, help_text="Optional description of this partner's offerings. You can enter HTML and it should render properly - if it does not, the developer forgot a | safe filter in the template. Whatever you enter here will also be automatically copied over to the description field for *your current language*, so you do not need to also fill that out.", null=True, ), ), migrations.AlterField( model_name="partner", name="languages", field=models.ManyToManyField( blank=True, help_text="Select all languages in which this partner publishes content.", null=True, to="resources.Language", ), ), migrations.AddField( model_name="partner", name="coordinator", field=models.ForeignKey( blank=True, help_text="The coordinator for this Partner, if any.", null=True, on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL, ), ), migrations.AlterField( model_name="partner", name="languages", field=models.ManyToManyField( blank=True, help_text="Select all languages in which this partner publishes content.", to="resources.Language", ), ), migrations.AlterField( model_name="stream", name="languages", field=models.ManyToManyField(blank=True, to="resources.Language"), ), migrations.AlterField( model_name="partner", name="status", field=models.IntegerField( choices=[(0, "Available"), (1, "Not available"), (2, "Waitlisted")], default=1, help_text="Should this Partner be displayed to end users? Is it open for applications right now?", ), ), migrations.AddField( model_name="partner", name="tags", field=models.TextField( blank=True, null=True, default=None, help_text="A comma-separated list of tags.", verbose_name="Tags", ), ), migrations.AddField( model_name="partner", name="renewals_available", field=models.BooleanField( default=False, help_text="Can access grants to this partner be renewed? If so, users will be able to request renewals at any time.", ), ), migrations.AlterField( model_name="contact", name="title", field=models.CharField( blank=True, help_text="Organizational role or job title. This is NOT intended to be used for honorifics. Think 'Director of Editorial Services', not 'Ms.' Optional.", max_length=75, ), ), migrations.AlterField( model_name="partner", name="description", field=models.TextField( blank=True, help_text="Optional description of this partner's offerings. You can enter wikicode and it should render properly - if it does not, the developer forgot a | safe filter in the template. Whatever you enter here will also be automatically copied over to the description field for *your current language*, so you do not need to also fill that out.", null=True, ), ), migrations.AlterField( model_name="stream", name="description", field=models.TextField( blank=True, help_text="Optional description of this stream's contents. You can enter wikicode and it should render properly - if it does not, the developer forgot a | safe filter in the template.", null=True, ), ), migrations.AlterField( model_name="partner", name="company_name", field=models.CharField( help_text="Partner's name (e.g. McFarland). Note: this will be user-visible and *not translated*.", max_length=40, ), ), migrations.AlterField( model_name="partner", name="country_of_residence", field=models.BooleanField( default=False, help_text="Mark as true if this partner requires applicant countries of residence.", ), ), migrations.AlterField( model_name="partner", name="description", field=models.TextField( blank=True, help_text="Optional description of this partner's resources.", null=True, ), ), migrations.AddField( model_name="partner", name="description_en", field=models.TextField( blank=True, help_text="Optional description of this partner's resources.", null=True, ), ), migrations.AddField( model_name="partner", name="description_fi", field=models.TextField( blank=True, help_text="Optional description of this partner's resources.", null=True, ), ), migrations.AddField( model_name="partner", name="description_fr", field=models.TextField( blank=True, help_text="Optional description of this partner's resources.", null=True, ), ), migrations.AlterField( model_name="partner", name="real_name", field=models.BooleanField( default=False, help_text="Mark as true if this partner requires applicant names.", ), ), migrations.AlterField( model_name="partner", name="specific_stream", field=models.BooleanField( default=False, help_text="Mark as true if this partner requires applicants to specify the database they want to access.", ), ), migrations.AlterField( model_name="partner", name="specific_title", field=models.BooleanField( default=False, help_text="Mark as true if this partner requires applicants to specify the title they want to access.", ), ), migrations.AlterField( model_name="partner", name="terms_of_use", field=models.URLField( blank=True, help_text="Link to terms of use. Required if users must agree to terms of use to get access; optional otherwise.", null=True, ), ), migrations.AlterField( model_name="stream", name="description", field=models.TextField( blank=True, help_text="Optional description of this stream's resources.", null=True, ), ), migrations.AlterField( model_name="stream", name="name", field=models.CharField( help_text="Name of stream (e.g. 'Health and Behavioral Sciences). Will be user-visible and *not translated*. Do not include the name of the partner here.", max_length=50, ), ), migrations.AddField( model_name="stream", name="description_en", field=models.TextField( blank=True, help_text="Optional description of this stream's resources.", null=True, ), ), migrations.AddField( model_name="stream", name="description_fi", field=models.TextField( blank=True, help_text="Optional description of this stream's resources.", null=True, ), ), migrations.AddField( model_name="stream", name="description_fr", field=models.TextField( blank=True, help_text="Optional description of this stream's resources.", null=True, ), ), migrations.AddField( model_name="partner", name="send_instructions", field=models.TextField( blank=True, help_text="Optional instructions for sending application data to this partner.", null=True, ), ), migrations.AddField( model_name="partner", name="send_instructions_en", field=models.TextField( blank=True, help_text="Optional instructions for sending application data to this partner.", null=True, ), ), migrations.AddField( model_name="partner", name="send_instructions_fi", field=models.TextField( blank=True, help_text="Optional instructions for sending application data to this partner.", null=True, ), ), migrations.AddField( model_name="partner", name="send_instructions_fr", field=models.TextField( blank=True, help_text="Optional instructions for sending application data to this partner.", null=True, ), ), migrations.RemoveField( model_name="partner", name="logo_url", ), migrations.CreateModel( name="PartnerLogo", fields=[ ( "id", models.AutoField( auto_created=True, primary_key=True, serialize=False, verbose_name="ID", ), ), ( "logo", models.ImageField( blank=True, help_text="Optional image file that can be used to represent this partner.", null=True, upload_to=b"", ), ), ( "partner", models.OneToOneField( on_delete=django.db.models.deletion.CASCADE, related_name="logos", to="resources.Partner", ), ), ], ), migrations.AddField( model_name="partner", name="bundle", field=models.BooleanField( default=False, null=True, help_text="Is this partner a part of the Bundle?", ), ), migrations.AddField( model_name="partner", name="featured", field=models.BooleanField( default=False, help_text="Mark as true to feature this partner on the front page.", ), ), migrations.AddField( model_name="partner", name="account_email", field=models.BooleanField( default=False, help_text="Mark as true if this partner requires applicants to have already signed up at the partner website.", ), ), migrations.AddField( model_name="partner", name="registration_url", field=models.URLField( blank=True, help_text="Link to registration page. Required if users must sign up on the partner's website in advance; optional otherwise.", null=True, ), ), migrations.AlterModelManagers( name="partner", managers=[ ("even_not_available", django.db.models.manager.Manager()), ], ), migrations.AlterField( model_name="language", name="language", field=models.CharField( choices=[ ("af", "Afrikaans"), ("ar", "Arabic"), ("ast", "Asturian"), ("az", "Azerbaijani"), ("bg", "Bulgarian"), ("be", "Belarusian"), ("bn", "Bengali"), ("br", "Breton"), ("bs", "Bosnian"), ("ca", "Catalan"), ("cs", "Czech"), ("cy", "Welsh"), ("da", "Danish"), ("de", "German"), ("dsb", "Lower Sorbian"), ("el", "Greek"), ("en", "English"), ("en-au", "Australian English"), ("en-gb", "British English"), ("eo", "Esperanto"), ("es", "Spanish"), ("es-ar", "Argentinian Spanish"), ("es-co", "Colombian Spanish"), ("es-mx", "Mexican Spanish"), ("es-ni", "Nicaraguan Spanish"), ("es-ve", "Venezuelan Spanish"), ("et", "Estonian"), ("eu", "Basque"), ("fa", "Persian"), ("fi", "Finnish"), ("fr", "French"), ("fy", "Frisian"), ("ga", "Irish"), ("gd", "Scottish Gaelic"), ("gl", "Galician"), ("he", "Hebrew"), ("hi", "Hindi"), ("hr", "Croatian"), ("hsb", "Upper Sorbian"), ("hu", "Hungarian"), ("ia", "Interlingua"), ("id", "Indonesian"), ("io", "Ido"), ("is", "Icelandic"), ("it", "Italian"), ("ja", "Japanese"), ("ka", "Georgian"), ("kk", "Kazakh"), ("km", "Khmer"), ("kn", "Kannada"), ("ko", "Korean"), ("lb", "Luxembourgish"), ("lt", "Lithuanian"), ("lv", "Latvian"), ("mk", "Macedonian"), ("ml", "Malayalam"), ("mn", "Mongolian"), ("mr", "Marathi"), ("my", "Burmese"), ("nb", "Norwegian Bokmål"), ("ne", "Nepali"), ("nl", "Dutch"), ("nn", "Norwegian Nynorsk"), ("os", "Ossetic"), ("pa", "Punjabi"), ("pl", "Polish"), ("pt", "Portuguese"), ("pt-br", "Brazilian Portuguese"), ("ro", "Romanian"), ("ru", "Russian"), ("sk", "Slovak"), ("sl", "Slovenian"), ("sq", "Albanian"), ("sr", "Serbian"), ("sr-latn", "Serbian Latin"), ("sv", "Swedish"), ("sw", "Swahili"), ("ta", "Tamil"), ("te", "Telugu"), ("th", "Thai"), ("tr", "Turkish"), ("tt", "Tatar"), ("udm", "Udmurt"), ("uk", "Ukrainian"), ("ur", "Urdu"), ("vi", "Vietnamese"), ("zh-hans", "Simplified Chinese"), ("zh-hant", "Traditional Chinese"), ], max_length=8, unique=True, validators=[TWLight.resources.models.validate_language_code], ), ), migrations.AddField( model_name="partner", name="company_location", field=django_countries.fields.CountryField( help_text="Partner's primary location.", max_length=2, null=True ), ), migrations.CreateModel( name="TaggedTextField", fields=[ ( "id", models.AutoField( auto_created=True, primary_key=True, serialize=False, verbose_name="ID", ), ), ( "object_id", models.IntegerField(db_index=True, verbose_name="Object id"), ), ( "content_type", models.ForeignKey( on_delete=django.db.models.deletion.CASCADE, related_name="resources_taggedtextfield_tagged_items", to="contenttypes.ContentType", verbose_name="Content type", ), ), ], options={ "abstract": False, }, ), migrations.CreateModel( name="TextFieldTag", fields=[ ( "id", models.AutoField( auto_created=True, primary_key=True, serialize=False, verbose_name="ID", ), ), ("name", models.TextField(max_length=100, verbose_name="Name")), ( "name_en", models.TextField(max_length=100, null=True, verbose_name="Name"), ), ( "name_fi", models.TextField(max_length=100, null=True, verbose_name="Name"), ), ( "name_fr", models.TextField(max_length=100, null=True, verbose_name="Name"), ), ( "slug", models.SlugField(max_length=100, unique=True, verbose_name="Slug"), ), ], options={ "verbose_name": "Tag", "verbose_name_plural": "Tags", }, ), migrations.AlterField( model_name="partner", name="tags", field=models.TextField( blank=True, null=True, default=None, help_text="A comma-separated list of tags.", verbose_name="Tags", ), ), migrations.AddField( model_name="taggedtextfield", name="tag", field=models.ForeignKey( on_delete=django.db.models.deletion.CASCADE, related_name="resources_taggedtextfield_items", to="resources.TextFieldTag", ), ), migrations.AddField( model_name="partner", name="old_tags", field=models.TextField( blank=True, null=True, default=None, help_text="A comma-separated list of tags.", verbose_name="Old Tags", ), ), migrations.AlterField( model_name="language", name="language", field=models.CharField( choices=[ ("af", "Afrikaans"), ("ar", "العربية"), ("ast", "asturianu"), ("az", "az-latn"), ("be", "беларуская"), ("bg", "български"), ("bn", "বাংলা"), ("br", "brezhoneg"), ("bs", "bosanski"), ("ca", "català"), ("cs", "čeština"), ("cy", "Cymraeg"), ("da", "dansk"), ("de", "Deutsch"), ("dsb", "dolnoserbski"), ("el", "Ελληνικά"), ("en", "English"), ("en-gb", "British English"), ("eo", "Esperanto"), ("es", "español"), ("es-ni", "español nicaragüense"), ("et", "eesti"), ("eu", "euskara"), ("fa", "فارسی"), ("fi", "suomi"), ("fr", "français"), ("fy", "Frysk"), ("ga", "Gaeilge"), ("gd", "Gàidhlig"), ("gl", "galego"), ("he", "עברית"), ("hi", "हिन्दी"), ("hr", "hrvatski"), ("hsb", "hornjoserbsce"), ("hu", "magyar"), ("ia", "interlingua"), ("id", "Bahasa Indonesia"), ("io", "Ido"), ("is", "íslenska"), ("it", "italiano"), ("ja", "日本語"), ("ka", "ქართული"), ("kk", "kk-cyrl"), ("km", "ភាសាខ្មែរ"), ("kn", "ಕನ್ನಡ"), ("ko", "한국어"), ("lb", "Lëtzebuergesch"), ("lt", "lietuvių"), ("lv", "latviešu"), ("mk", "македонски"), ("ml", "മലയാളം"), ("mn", "монгол"), ("mr", "मराठी"), ("my", "မြန်မာဘာသာ"), ("nb", "norsk (bokmål)"), ("ne", "नेपाली"), ("nl", "Nederlands"), ("nn", "norsk (nynorsk)"), ("os", "Ирон"), ("pa", "pa-guru"), ("pl", "polski"), ("pt", "português"), ("pt-br", "português do Brasil"), ("ro", "română"), ("ru", "русский"), ("sk", "slovenčina"), ("sl", "slovenščina"), ("sq", "shqip"), ("sr", "sr-cyrl"), ("sr-latn", "srpski"), ("sv", "svenska"), ("sw", "Kiswahili"), ("ta", "தமிழ்"), ("te", "తెలుగు"), ("th", "ไทย"), ("tr", "Türkçe"), ("tt", "татарча"), ("udm", "удмурт"), ("uk", "українська"), ("ur", "اردو"), ("vi", "Tiếng Việt"), ("zh-hans", "中文（简体）"), ("zh-hant", "中文（繁體）"), ], max_length=8, unique=True, validators=[TWLight.resources.models.validate_language_code], ), ), migrations.AlterField( model_name="partner", name="coordinator", field=models.ForeignKey( blank=True, help_text="The coordinator for this Partner, if any.", null=True, on_delete=django.db.models.deletion.SET_NULL, to=settings.AUTH_USER_MODEL, ), ), migrations.AddField( model_name="partner", name="send_instructions_ar", field=models.TextField( blank=True, help_text="Optional instructions for sending application data to this partner.", null=True, ), ), migrations.AddField( model_name="stream", name="description_ar", field=models.TextField( blank=True, help_text="Optional description of this stream's resources.", null=True, ), ), migrations.AddField( model_name="textfieldtag", name="name_ar", field=models.TextField(max_length=100, null=True, verbose_name="Name"), ), migrations.AlterField( model_name="partner", name="status", field=models.IntegerField( choices=[(0, "Available"), (1, "Not available"), (2, "Waitlisted")], default=1, help_text="Should this Partner be displayed to users? Is it open for applications right now?", ), ), migrations.AddField( model_name="partner", name="excerpt_limit", field=models.PositiveSmallIntegerField( blank=True, help_text="Optional excerpt limit in terms of number of words per article. Leave empty if no limit.", null=True, ), ), migrations.AddField( model_name="partner", name="excerpt_limit_percentage", field=models.PositiveSmallIntegerField( blank=True, help_text="Optional excerpt limit in terms of percentage (%) of an article. Leave empty if no limit.", null=True, validators=[django.core.validators.MaxValueValidator(100)], ), ), migrations.RenameField( model_name="partner", old_name="description", new_name="short_description", ), migrations.RenameField( model_name="partner", old_name="description_en", new_name="short_description_en", ), migrations.RenameField( model_name="partner", old_name="description_fi", new_name="short_description_fi", ), migrations.RenameField( model_name="partner", old_name="description_fr", new_name="short_description_fr", ), migrations.AddField( model_name="partner", name="description", field=models.TextField( blank=True, help_text="Optional detailed description in addition to the short description such as collections, instructions, notes, special requirements, alternate access options, unique features, citations notes.", verbose_name=b"long description", ), ), migrations.AddField( model_name="partner", name="description_ar", field=models.TextField( blank=True, help_text="Optional detailed description in addition to the short description such as collections, instructions, notes, special requirements, alternate access options, unique features, citations notes.", null=True, verbose_name=b"long description", ), ), migrations.AddField( model_name="partner", name="description_en", field=models.TextField( blank=True, help_text="Optional detailed description in addition to the short description such as collections, instructions, notes, special requirements, alternate access options, unique features, citations notes.", null=True, verbose_name=b"long description", ), ), migrations.AddField( model_name="partner", name="description_fi", field=models.TextField( blank=True, help_text="Optional detailed description in addition to the short description such as collections, instructions, notes, special requirements, alternate access options, unique features, citations notes.", null=True, verbose_name=b"long description", ), ), migrations.AddField( model_name="partner", name="description_fr", field=models.TextField( blank=True, help_text="Optional detailed description in addition to the short description such as collections, instructions, notes, special requirements, alternate access options, unique features, citations notes.", null=True, verbose_name=b"long description", ), ), migrations.AlterField( model_name="partner", name="short_description", field=models.TextField( blank=True, help_text="Optional short description of this partner's resources.", max_length=1000, null=True, ), ), migrations.AddField( model_name="partner", name="short_description_ar", field=models.TextField( blank=True, help_text="Optional short description of this partner's resources.", max_length=1000, null=True, ), ), migrations.AlterField( model_name="partner", name="short_description_en", field=models.TextField( blank=True, help_text="Optional short description of this partner's resources.", max_length=1000, null=True, ), ), migrations.AlterField( model_name="partner", name="short_description_fi", field=models.TextField( blank=True, help_text="Optional short description of this partner's resources.", max_length=1000, null=True, ), ), migrations.AlterField( model_name="partner", name="short_description_fr", field=models.TextField( blank=True, help_text="Optional short description of this partner's resources.", max_length=1000, null=True, ), ), migrations.AddField( model_name="partner", name="accounts_available", field=models.PositiveSmallIntegerField( blank=True, help_text="Add number of new accounts to the existing value, not by reseting it to zero.", null=True, ), ), migrations.AddField( model_name="stream", name="accounts_available", field=models.PositiveSmallIntegerField( blank=True, help_text="Add number of new accounts to the existing value, not by reseting it to zero.", null=True, ), ), migrations.AddField( model_name="partner", name="description_ko", field=models.TextField( blank=True, help_text="Optional detailed description in addition to the short description such as collections, instructions, notes, special requirements, alternate access options, unique features, citations notes.", null=True, verbose_name=b"long description", ), ), migrations.AddField( model_name="partner", name="description_mk", field=models.TextField( blank=True, help_text="Optional detailed description in addition to the short description such as collections, instructions, notes, special requirements, alternate access options, unique features, citations notes.", null=True, verbose_name=b"long description", ), ), migrations.AddField( model_name="partner", name="description_my", field=models.TextField( blank=True, help_text="Optional detailed description in addition to the short description such as collections, instructions, notes, special requirements, alternate access options, unique features, citations notes.", null=True, verbose_name=b"long description", ), ), migrations.AddField( model_name="partner", name="description_pt", field=models.TextField( blank=True, help_text="Optional detailed description in addition to the short description such as collections, instructions, notes, special requirements, alternate access options, unique features, citations notes.", null=True, verbose_name=b"long description", ), ), migrations.AddField( model_name="partner", name="description_pt_br", field=models.TextField( blank=True, help_text="Optional detailed description in addition to the short description such as collections, instructions, notes, special requirements, alternate access options, unique features, citations notes.", null=True, verbose_name=b"long description", ), ), migrations.AddField( model_name="partner", name="description_sv", field=models.TextField( blank=True, help_text="Optional detailed description in addition to the short description such as collections, instructions, notes, special requirements, alternate access options, unique features, citations notes.", null=True, verbose_name=b"long description", ), ), migrations.AddField( model_name="partner", name="description_tr", field=models.TextField( blank=True, help_text="Optional detailed description in addition to the short description such as collections, instructions, notes, special requirements, alternate access options, unique features, citations notes.", null=True, verbose_name=b"long description", ), ), migrations.AddField( model_name="partner", name="description_zh_hans", field=models.TextField( blank=True, help_text="Optional detailed description in addition to the short description such as collections, instructions, notes, special requirements, alternate access options, unique features, citations notes.", null=True, verbose_name=b"long description", ), ), migrations.AddField( model_name="partner", name="description_zh_hant", field=models.TextField( blank=True, help_text="Optional detailed description in addition to the short description such as collections, instructions, notes, special requirements, alternate access options, unique features, citations notes.", null=True, verbose_name=b"long description", ), ), migrations.AddField( model_name="partner", name="send_instructions_ko", field=models.TextField( blank=True, help_text="Optional instructions for sending application data to this partner.", null=True, ), ), migrations.AddField( model_name="partner", name="send_instructions_mk", field=models.TextField( blank=True, help_text="Optional instructions for sending application data to this partner.", null=True, ), ), migrations.AddField( model_name="partner", name="send_instructions_my", field=models.TextField( blank=True, help_text="Optional instructions for sending application data to this partner.", null=True, ), ), migrations.AddField( model_name="partner", name="send_instructions_pt", field=models.TextField( blank=True, help_text="Optional instructions for sending application data to this partner.", null=True, ), ), migrations.AddField( model_name="partner", name="send_instructions_pt_br", field=models.TextField( blank=True, help_text="Optional instructions for sending application data to this partner.", null=True, ), ), migrations.AddField( model_name="partner", name="send_instructions_sv", field=models.TextField( blank=True, help_text="Optional instructions for sending application data to this partner.", null=True, ), ), migrations.AddField( model_name="partner", name="send_instructions_tr", field=models.TextField( blank=True, help_text="Optional instructions for sending application data to this partner.", null=True, ), ), migrations.AddField( model_name="partner", name="send_instructions_zh_hans", field=models.TextField( blank=True, help_text="Optional instructions for sending application data to this partner.", null=True, ), ), migrations.AddField( model_name="partner", name="send_instructions_zh_hant", field=models.TextField( blank=True, help_text="Optional instructions for sending application data to this partner.", null=True, ), ), migrations.AddField( model_name="partner", name="short_description_ko", field=models.TextField( blank=True, help_text="Optional short description of this partner's resources.", max_length=1000, null=True, ), ), migrations.AddField( model_name="partner", name="short_description_mk", field=models.TextField( blank=True, help_text="Optional short description of this partner's resources.", max_length=1000, null=True, ), ), migrations.AddField( model_name="partner", name="short_description_my", field=models.TextField( blank=True, help_text="Optional short description of this partner's resources.", max_length=1000, null=True, ), ), migrations.AddField( model_name="partner", name="short_description_pt", field=models.TextField( blank=True, help_text="Optional short description of this partner's resources.", max_length=1000, null=True, ), ), migrations.AddField( model_name="partner", name="short_description_pt_br", field=models.TextField( blank=True, help_text="Optional short description of this partner's resources.", max_length=1000, null=True, ), ), migrations.AddField( model_name="partner", name="short_description_sv", field=models.TextField( blank=True, help_text="Optional short description of this partner's resources.", max_length=1000, null=True, ), ), migrations.AddField( model_name="partner", name="short_description_tr", field=models.TextField( blank=True, help_text="Optional short description of this partner's resources.", max_length=1000, null=True, ), ), migrations.AddField( model_name="partner", name="short_description_zh_hans", field=models.TextField( blank=True, help_text="Optional short description of this partner's resources.", max_length=1000, null=True, ), ), migrations.AddField( model_name="partner", name="short_description_zh_hant", field=models.TextField( blank=True, help_text="Optional short description of this partner's resources.", max_length=1000, null=True, ), ), migrations.AddField( model_name="stream", name="description_ko", field=models.TextField( blank=True, help_text="Optional description of this stream's resources.", null=True, ), ), migrations.AddField( model_name="stream", name="description_mk", field=models.TextField( blank=True, help_text="Optional description of this stream's resources.", null=True, ), ), migrations.AddField( model_name="stream", name="description_my", field=models.TextField( blank=True, help_text="Optional description of this stream's resources.", null=True, ), ), migrations.AddField( model_name="stream", name="description_pt", field=models.TextField( blank=True, help_text="Optional description of this stream's resources.", null=True, ), ), migrations.AddField( model_name="stream", name="description_pt_br", field=models.TextField( blank=True, help_text="Optional description of this stream's resources.", null=True, ), ), migrations.AddField( model_name="stream", name="description_sv", field=models.TextField( blank=True, help_text="Optional description of this stream's resources.", null=True, ), ), migrations.AddField( model_name="stream", name="description_tr", field=models.TextField( blank=True, help_text="Optional description of this stream's resources.", null=True, ), ), migrations.AddField( model_name="stream", name="description_zh_hans", field=models.TextField( blank=True, help_text="Optional description of this stream's resources.", null=True, ), ), migrations.AddField( model_name="stream", name="description_zh_hant", field=models.TextField( blank=True, help_text="Optional description of this stream's resources.", null=True, ), ), migrations.AddField( model_name="textfieldtag", name="name_ko", field=models.TextField(max_length=100, null=True, verbose_name="Name"), ), migrations.AddField( model_name="textfieldtag", name="name_mk", field=models.TextField(max_length=100, null=True, verbose_name="Name"), ), migrations.AddField( model_name="textfieldtag", name="name_my", field=models.TextField(max_length=100, null=True, verbose_name="Name"), ), migrations.AddField( model_name="textfieldtag", name="name_pt", field=models.TextField(max_length=100, null=True, verbose_name="Name"), ), migrations.AddField( model_name="textfieldtag", name="name_pt_br", field=models.TextField(max_length=100, null=True, verbose_name="Name"), ), migrations.AddField( model_name="textfieldtag", name="name_sv", field=models.TextField(max_length=100, null=True, verbose_name="Name"), ), migrations.AddField( model_name="textfieldtag", name="name_tr", field=models.TextField(max_length=100, null=True, verbose_name="Name"), ), migrations.AddField( model_name="textfieldtag", name="name_zh_hans", field=models.TextField(max_length=100, null=True, verbose_name="Name"), ), migrations.AddField( model_name="textfieldtag", name="name_zh_hant", field=models.TextField(max_length=100, null=True, verbose_name="Name"), ), migrations.AddField( model_name="partner", name="description_da", field=models.TextField( blank=True, help_text="Optional detailed description in addition to the short description such as collections, instructions, notes, special requirements, alternate access options, unique features, citations notes.", null=True, verbose_name=b"long description", ), ), migrations.AddField( model_name="partner", name="send_instructions_da", field=models.TextField( blank=True, help_text="Optional instructions for sending application data to this partner.", null=True, ), ), migrations.AddField( model_name="partner", name="short_description_da", field=models.TextField( blank=True, help_text="Optional short description of this partner's resources.", max_length=1000, null=True, ), ), migrations.AddField( model_name="stream", name="description_da", field=models.TextField( blank=True, help_text="Optional description of this stream's resources.", null=True, ), ), migrations.AddField( model_name="textfieldtag", name="name_da", field=models.TextField(max_length=100, null=True, verbose_name="Name"), ), migrations.CreateModel( name="Video", fields=[ ( "id", models.AutoField( auto_created=True, primary_key=True, serialize=False, verbose_name="ID", ), ), ( "tutorial_video_url", models.URLField( blank=True, help_text="URL of a video tutorial.", null=True ), ), ( "partner", models.ForeignKey( on_delete=django.db.models.deletion.CASCADE, related_name="videos", to="resources.Partner", ), ), ], options={ "ordering": ["partner"], "verbose_name": "video tutorial", "verbose_name_plural": "video tutorials", }, ), migrations.AddField( model_name="partner", name="description_br", field=models.TextField( blank=True, help_text="Optional detailed description in addition to the short description such as collections, instructions, notes, special requirements, alternate access options, unique features, citations notes.", null=True, verbose_name=b"long description", ), ), migrations.AddField( model_name="partner", name="send_instructions_br", field=models.TextField( blank=True, help_text="Optional instructions for sending application data to this partner.", null=True, ), ), migrations.AddField( model_name="partner", name="short_description_br", field=models.TextField( blank=True, help_text="Optional short description of this partner's resources.", max_length=1000, null=True, ), ), migrations.AddField( model_name="stream", name="description_br", field=models.TextField( blank=True, help_text="Optional description of this stream's resources.", null=True, ), ), migrations.AddField( model_name="textfieldtag", name="name_br", field=models.TextField(max_length=100, null=True, verbose_name="Name"), ), migrations.AddField( model_name="partner", name="description_de", field=models.TextField( blank=True, help_text="Optional detailed description in addition to the short description such as collections, instructions, notes, special requirements, alternate access options, unique features, citations notes.", null=True, verbose_name=b"long description", ), ), migrations.AddField( model_name="partner", name="send_instructions_de", field=models.TextField( blank=True, help_text="Optional instructions for sending application data to this partner.", null=True, ), ), migrations.AddField( model_name="partner", name="short_description_de", field=models.TextField( blank=True, help_text="Optional short description of this partner's resources.", max_length=1000, null=True, ), ), migrations.AddField( model_name="stream", name="description_de", field=models.TextField( blank=True, help_text="Optional description of this stream's resources.", null=True, ), ), migrations.AddField( model_name="textfieldtag", name="name_de", field=models.TextField(max_length=100, null=True, verbose_name="Name"), ), migrations.CreateModel( name="Suggestion", fields=[ ( "id", models.AutoField( auto_created=True, primary_key=True, serialize=False, verbose_name="ID", ), ), ( "suggested_company_name", models.CharField( help_text="Potential partner's name (e.g. McFarland).", max_length=40, ), ), ( "description", models.TextField( blank=True, help_text="Optional description of this potential partner.", max_length=1000, ), ), ( "company_url", models.URLField( blank=True, help_text="Link to the potential partner's website.", null=True, ), ), ( "author", models.ForeignKey( blank=True, help_text="User who authored this suggestion.", null=True, on_delete=django.db.models.deletion.SET_NULL, related_name="suggestion_author", to=settings.AUTH_USER_MODEL, ), ), ( "upvoted_users", models.ManyToManyField( blank=True, help_text="Users who have upvoted this suggestion.", to=settings.AUTH_USER_MODEL, ), ), ], options={ "ordering": ["suggested_company_name"], "verbose_name": "suggestion", "verbose_name_plural": "suggestions", }, ), migrations.AddField( model_name="partner", name="description_fa", field=models.TextField( blank=True, help_text="Optional detailed description in addition to the short description such as collections, instructions, notes, special requirements, alternate access options, unique features, citations notes.", null=True, verbose_name=b"long description", ), ), migrations.AddField( model_name="partner", name="send_instructions_fa", field=models.TextField( blank=True, help_text="Optional instructions for sending application data to this partner.", null=True, ), ), migrations.AddField( model_name="partner", name="short_description_fa", field=models.TextField( blank=True, help_text="Optional short description of this partner's resources.", max_length=1000, null=True, ), ), migrations.AddField( model_name="stream", name="description_fa", field=models.TextField( blank=True, help_text="Optional description of this stream's resources.", null=True, ), ), migrations.AddField( model_name="textfieldtag", name="name_fa", field=models.TextField(max_length=100, null=True, verbose_name="Name"), ), migrations.AddField( model_name="partner", name="description_ru", field=models.TextField( blank=True, help_text="Optional detailed description in addition to the short description such as collections, instructions, notes, special requirements, alternate access options, unique features, citations notes.", null=True, verbose_name=b"long description", ), ), migrations.AddField( model_name="partner", name="description_ta", field=models.TextField( blank=True, help_text="Optional detailed description in addition to the short description such as collections, instructions, notes, special requirements, alternate access options, unique features, citations notes.", null=True, verbose_name=b"long description", ), ), migrations.AddField( model_name="partner", name="send_instructions_ru", field=models.TextField( blank=True, help_text="Optional instructions for sending application data to this partner.", null=True, ), ), migrations.AddField( model_name="partner", name="send_instructions_ta", field=models.TextField( blank=True, help_text="Optional instructions for sending application data to this partner.", null=True, ), ), migrations.AddField( model_name="partner", name="short_description_ru", field=models.TextField( blank=True, help_text="Optional short description of this partner's resources.", max_length=1000, null=True, ), ), migrations.AddField( model_name="partner", name="short_description_ta", field=models.TextField( blank=True, help_text="Optional short description of this partner's resources.", max_length=1000, null=True, ), ), migrations.AddField( model_name="stream", name="description_ru", field=models.TextField( blank=True, help_text="Optional description of this stream's resources.", null=True, ), ), migrations.AddField( model_name="stream", name="description_ta", field=models.TextField( blank=True, help_text="Optional description of this stream's resources.", null=True, ), ), migrations.AddField( model_name="textfieldtag", name="name_ru", field=models.TextField(max_length=100, null=True, verbose_name="Name"), ), migrations.AddField( model_name="textfieldtag", name="name_ta", field=models.TextField(max_length=100, null=True, verbose_name="Name"), ), migrations.AddField( model_name="partner", name="description_hi", field=models.TextField( blank=True, help_text="Optional detailed description in addition to the short description such as collections, instructions, notes, special requirements, alternate access options, unique features, citations notes.", null=True, verbose_name=b"long description", ), ), migrations.AddField( model_name="partner", name="description_mr", field=models.TextField( blank=True, help_text="Optional detailed description in addition to the short description such as collections, instructions, notes, special requirements, alternate access options, unique features, citations notes.", null=True, verbose_name=b"long description", ), ), migrations.AddField( model_name="partner", name="send_instructions_hi", field=models.TextField( blank=True, help_text="Optional instructions for sending application data to this partner.", null=True, ), ), migrations.AddField( model_name="partner", name="send_instructions_mr", field=models.TextField( blank=True, help_text="Optional instructions for sending application data to this partner.", null=True, ), ), migrations.AddField( model_name="partner", name="short_description_hi", field=models.TextField( blank=True, help_text="Optional short description of this partner's resources.", max_length=1000, null=True, ), ), migrations.AddField( model_name="partner", name="short_description_mr", field=models.TextField( blank=True, help_text="Optional short description of this partner's resources.", max_length=1000, null=True, ), ), migrations.AddField( model_name="stream", name="description_hi", field=models.TextField( blank=True, help_text="Optional description of this stream's resources.", null=True, ), ), migrations.AddField( model_name="stream", name="description_mr", field=models.TextField( blank=True, help_text="Optional description of this stream's resources.", null=True, ), ), migrations.AddField( model_name="textfieldtag", name="name_hi", field=models.TextField(max_length=100, null=True, verbose_name="Name"), ), migrations.AddField( model_name="textfieldtag", name="name_mr", field=models.TextField(max_length=100, null=True, verbose_name="Name"), ), migrations.CreateModel( name="AccessCode", fields=[ ( "id", models.AutoField( auto_created=True, primary_key=True, serialize=False, verbose_name="ID", ), ), ( "code", models.CharField( help_text="An access code for this partner.", max_length=60 ), ), ], options={ "verbose_name": "access code", "verbose_name_plural": "access codes", }, ), migrations.RemoveField( model_name="partner", name="bundle", ), migrations.AddField( model_name="partner", name="authorization_method", field=models.IntegerField( choices=[ (0, "Email"), (1, "Access codes"), (2, "Proxy"), (3, "Library Bundle"), ], default=0, help_text="Which authorization method does this partner use? 'Email' means the accounts are set up via email, and is the default. Select 'Access Codes' if we send individual, or group, login details or access codes. 'Proxy' means access delivered directly via EZProxy, and Library Bundle is automated proxy-based access.", ), ), ]

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0.071289

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0

null

0

1

0

1

0

null

0

8

76f62590f904ac02ec22387ebed471484f1497fd

4,533

py

Python

tests/core/test_datamodules.py

stas00/pytorch-lightning

84c507c4df5f5c336deb19ce7f70fa02329f39f6

[ "Apache-2.0" ]

1

2021-06-10T07:12:58.000Z

tests/core/test_datamodules.py

stas00/pytorch-lightning

84c507c4df5f5c336deb19ce7f70fa02329f39f6

[ "Apache-2.0" ]

null

tests/core/test_datamodules.py

stas00/pytorch-lightning

84c507c4df5f5c336deb19ce7f70fa02329f39f6

[ "Apache-2.0" ]

null

import pickle import torch import pytest from pytorch_lightning import Trainer from tests.base.datamodules import TrialMNISTDataModule from tests.base import EvalModelTemplate from argparse import ArgumentParser def test_base_datamodule(tmpdir): dm = TrialMNISTDataModule() dm.prepare_data() dm.setup() def test_dm_add_argparse_args(tmpdir): parser = ArgumentParser() parser = TrialMNISTDataModule.add_argparse_args(parser) args = parser.parse_args(['--data_dir', './my_data']) assert args.data_dir == './my_data' def test_dm_init_from_argparse_args(tmpdir): parser = ArgumentParser() parser = TrialMNISTDataModule.add_argparse_args(parser) args = parser.parse_args(['--data_dir', './my_data']) dm = TrialMNISTDataModule.from_argparse_args(args) dm.prepare_data() dm.setup() def test_dm_pickle_after_init(tmpdir): dm = TrialMNISTDataModule() pickle.dumps(dm) def test_dm_pickle_after_setup(tmpdir): dm = TrialMNISTDataModule() dm.prepare_data() dm.setup() pickle.dumps(dm) def test_train_loop_only(tmpdir): dm = TrialMNISTDataModule(tmpdir) dm.prepare_data() dm.setup() model = EvalModelTemplate() model.validation_step = None model.validation_step_end = None model.validation_epoch_end = None model.test_step = None model.test_step_end = None model.test_epoch_end = None trainer = Trainer( default_root_dir=tmpdir, max_epochs=3, weights_summary=None, ) trainer.fit(model, dm) # fit model result = trainer.fit(model) assert result == 1 assert trainer.callback_metrics['loss'] < 0.50 def test_train_val_loop_only(tmpdir): dm = TrialMNISTDataModule(tmpdir) dm.prepare_data() dm.setup() model = EvalModelTemplate() model.validation_step = None model.validation_step_end = None model.validation_epoch_end = None trainer = Trainer( default_root_dir=tmpdir, max_epochs=3, weights_summary=None, ) trainer.fit(model, dm) # fit model result = trainer.fit(model) assert result == 1 assert trainer.callback_metrics['loss'] < 0.50 def test_full_loop(tmpdir): dm = TrialMNISTDataModule(tmpdir) dm.prepare_data() dm.setup() model = EvalModelTemplate() trainer = Trainer( default_root_dir=tmpdir, max_epochs=3, weights_summary=None, ) trainer.fit(model, dm) # fit model result = trainer.fit(model) assert result == 1 # test result = trainer.test(datamodule=dm) result = result[0] assert result['test_acc'] > 0.8 @pytest.mark.skipif(torch.cuda.device_count() < 1, reason="test requires multi-GPU machine") def test_full_loop_single_gpu(tmpdir): dm = TrialMNISTDataModule(tmpdir) dm.prepare_data() dm.setup() model = EvalModelTemplate() trainer = Trainer( default_root_dir=tmpdir, max_epochs=3, weights_summary=None, gpus=1 ) trainer.fit(model, dm) # fit model result = trainer.fit(model) assert result == 1 # test result = trainer.test(datamodule=dm) result = result[0] assert result['test_acc'] > 0.8 @pytest.mark.skipif(torch.cuda.device_count() < 2, reason="test requires multi-GPU machine") def test_full_loop_dp(tmpdir): dm = TrialMNISTDataModule(tmpdir) dm.prepare_data() dm.setup() model = EvalModelTemplate() trainer = Trainer( default_root_dir=tmpdir, max_epochs=3, weights_summary=None, distributed_backend='dp', gpus=2 ) trainer.fit(model, dm) # fit model result = trainer.fit(model) assert result == 1 # test result = trainer.test(datamodule=dm) result = result[0] assert result['test_acc'] > 0.8 @pytest.mark.skipif(torch.cuda.device_count() < 2, reason="test requires multi-GPU machine") def test_full_loop_ddp_spawn(tmpdir): import os os.environ['CUDA_VISIBLE_DEVICES'] = '0,1' dm = TrialMNISTDataModule(tmpdir) dm.prepare_data() dm.setup() model = EvalModelTemplate() trainer = Trainer( default_root_dir=tmpdir, max_epochs=3, weights_summary=None, distributed_backend='ddp_spawn', gpus=[0, 1] ) trainer.fit(model, dm) # fit model result = trainer.fit(model) assert result == 1 # test result = trainer.test(datamodule=dm) result = result[0] assert result['test_acc'] > 0.8

22.893939

92

0.668652

560

4,533

5.205357

0.148214

0.0494

0.06175

0.046312

0.840137

0.81235

0.766381

0

0.011121

0.22634

4,533

197

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0.820074

0.017428

0

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0

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0

null

0

1

0

1

0

null

0

7

0a0919ea1dc6cbcecf7715d2ae433886c80b4a21

166

py

Python

tools/leetcode.242.Valid Anagram/leetcode.242.Valid Anagram.submission1.py

tedye/leetcode

975d7e3b8cb9b6be9e80e07febf4bcf6414acd46

[ "MIT" ]

4

2015-10-10T00:30:55.000Z

2020-07-27T19:45:54.000Z

tools/leetcode.242.Valid Anagram/leetcode.242.Valid Anagram.submission1.py

tedye/leetcode

975d7e3b8cb9b6be9e80e07febf4bcf6414acd46

[ "MIT" ]

null

tools/leetcode.242.Valid Anagram/leetcode.242.Valid Anagram.submission1.py

tedye/leetcode

975d7e3b8cb9b6be9e80e07febf4bcf6414acd46

[ "MIT" ]

null

class Solution: # @param {string} s # @param {string} t # @return {boolean} def isAnagram(self, s, t): return sorted(list(s))==sorted(list(t))

166

0.578313

22

166

4.363636

0.590909

0.229167

0

0.253012

166

1

166

0.774194

0.319277

0

1

0.333333

false

0

0.333333

1

0

1

0

null

1

0

1

0

1

0

null

0

1

0

1

0

7

0a0e50bc4018f79233f5194287cbf1c61b8529bc

323

py

Python

ipython/startup/import_beartype.py

dycw/dotfiles2

9e23c4989e9813080da3658a8f98dbb1e03776f2

[ "MIT" ]

null

ipython/startup/import_beartype.py

dycw/dotfiles2

9e23c4989e9813080da3658a8f98dbb1e03776f2

[ "MIT" ]

null

ipython/startup/import_beartype.py

dycw/dotfiles2

9e23c4989e9813080da3658a8f98dbb1e03776f2

[ "MIT" ]

null

from contextlib import suppress with suppress(ModuleNotFoundError): from beartype import beartype # noqa: F401 from beartype.vale import Is # noqa: F401 from beartype.vale import IsAttr # noqa: F401 from beartype.vale import IsEqual # noqa: F401 from beartype.vale import IsSubclass # noqa: F401

32.3

54

0.736842

41

323

5.804878

0.341463

0.252101

0.201681

0.336134

0.504202

0

0.058824

0.210526

323

9

55

35.888889

0.87451

0.167183

0

1

0

true

0

0.857143

0

0.857143

0

null

1

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1

0

null

0

1

0

1

0

1

0

7

6a537b1dd1a64dc5b4d65f89403140fc05d38c87

65

py

Python

collection/2.py

nemero/py_neural

87f151097f8c331a06f13b96c4cec9a1ee663abf

[ "MIT" ]

null

collection/2.py

nemero/py_neural

87f151097f8c331a06f13b96c4cec9a1ee663abf

[ "MIT" ]

1

2017-01-18T18:35:03.000Z

2017-01-25T08:55:49.000Z

collection/2.py

nemero/py_neural

87f151097f8c331a06f13b96c4cec9a1ee663abf

[ "MIT" ]

null

0 0 0 1 0 1 1 1 1 0 0 0 1 0 0 0 1 0 1 1 0 1 0 0 0 1 0 0 0 1 1 1 1

8.125

9

0.507692

33

65

1

0.060606

0.606061

0.454545

0.606061

1

0.878788

0.545455

0

1

0.492308

65

8

10

8.125

0

0.75

0

null

0

null

0

1

null

1

0

1

0

1

0

1

0

1

0

null

0

1

0

12

6a5e4c6e6126accfbbf8bdd30ff250a594535a73

25,200

py

Python

rlschool/liftsim/environment/mansion/test_elevator.py

ANCL/QuadPPO

b7ed0574467bd321f4259175621a12ff7aeb7d12

[ "MIT" ]

169

2019-07-15T02:23:54.000Z

2021-10-31T08:31:19.000Z

rlschool/liftsim/environment/mansion/test_elevator.py

ANCL/QuadPPO

b7ed0574467bd321f4259175621a12ff7aeb7d12

[ "MIT" ]

23

2019-07-22T05:11:13.000Z

2021-11-01T04:53:39.000Z

rlschool/liftsim/environment/mansion/test_elevator.py

ANCL/QuadPPO

b7ed0574467bd321f4259175621a12ff7aeb7d12

[ "MIT" ]

48

2019-07-15T02:21:42.000Z

2021-09-16T06:40:51.000Z

# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """ Unit test class """ from rlschool.liftsim.environment.mansion.person_generators.uniform_generator import UniformPersonGenerator from rlschool.liftsim.environment.mansion import person_generators from rlschool.liftsim.environment.mansion.person_generators import uniform_generator from rlschool.liftsim.environment.mansion.utils import PersonType, MansionState, ElevatorState, ElevatorAction from rlschool.liftsim.environment.mansion.elevator import Elevator from rlschool.liftsim.environment.mansion.mansion_manager import MansionManager from rlschool.liftsim.environment.mansion.mansion_config import MansionConfig import sys import unittest import mock class TestElevator(unittest.TestCase): # checked # @unittest.skip("test") @mock.patch("person_generators.uniform_generator.UniformPersonGenerator") def test_door_load_unload(self, mock_uniformgenerator): """ stop at the target, load and unload corresponding passengers, open and close the door properly """ max_floors = 8 world = MansionConfig( dt=0.50, number_of_floors=max_floors, floor_height=4.0) test_elevator = Elevator(start_position=0.0, mansion_config=world, name="test_elevator") test_elevator._direction = 1 test_elevator._current_position = 8.0 test_elevator._target_floors = [3, 5] test_elevator._loaded_person = [ list() for i in range( test_elevator._number_of_floors)] test_elevator._loaded_person[2].append( PersonType(6, 40, 1, 3, world.raw_time)) test_elevator._loaded_person[4].append( PersonType(7, 35, 1, 5, world.raw_time)) test_elevator._load_weight = 80 tmp_uniform_generator = UniformPersonGenerator() ret_person = [] ret_person.append(PersonType(0, 50, 3, 5, world.raw_time)) ret_person.append(PersonType(1, 30, 3, 1, world.raw_time)) ret_person.append(PersonType(2, 60, 6, 4, world.raw_time)) ret_person.append(PersonType(4, 55, 3, 4, world.raw_time)) ret_person.append(PersonType(5, 65, 3, 6, world.raw_time)) person_generators.uniform_generator.UniformPersonGenerator.generate_person = mock.Mock( return_value=(ret_person)) test_mansion = MansionManager( elevator_number=1, person_generator=tmp_uniform_generator, mansion_config=world, name="test_mansion" ) test_mansion._elevators = [test_elevator] dispatch = [] dispatch.append(ElevatorAction(3, 1)) test_mansion.run_mansion(dispatch) # print(test_mansion.state, "\nworld time is", world.raw_time) state = test_mansion.state self.assertAlmostEqual(state.ElevatorStates[0].DoorState, 0.5) # mock generate_person again ret_person = [] person_generators.uniform_generator.UniformPersonGenerator.generate_person = mock.Mock( return_value=(ret_person)) test_mansion.run_mansion(dispatch) # Door fully open, t = 1.0 state = test_mansion.state self.assertAlmostEqual(state.ElevatorStates[0].DoorState, 1.0) for i in range(4): test_mansion.run_mansion(dispatch) # print(test_mansion.state, "\nworld time is", world.raw_time) state = test_mansion.state # passenger 6 is unloaded, t = 3.0 self.assertAlmostEqual(state.ElevatorStates[0].LoadWeight, 40) dispatch = [] dispatch.append(ElevatorAction(0, 0)) for i in range(4): test_mansion.run_mansion(dispatch) # print(test_mansion.state, "\nworld time is", world.raw_time) state = test_mansion.state # passenger 0 and 4 are loaded, t = 5.0 self.assertAlmostEqual(state.ElevatorStates[0].LoadWeight, 145) for i in range(4): test_mansion.run_mansion(dispatch) state = test_mansion.state # passenger 5 is loaded, t = 7.0 self.assertAlmostEqual(state.ElevatorStates[0].LoadWeight, 210) for i in range(4): test_mansion.run_mansion(dispatch) # print(test_mansion.state, "\nworld time is", world.raw_time) state = test_mansion.state # the door is closed, going up, t = 9.0 self.assertAlmostEqual(state.ElevatorStates[0].Velocity, 1.0) # checked # @unittest.skip("test") @mock.patch("person_generators.uniform_generator.UniformPersonGenerator") def test_overload(self, mock_uniformgenerator): """ overload, two people enter together, check who can enter the elevator one by one after overload, if the dispatcher still dispatches the elevator to the current floor, ignore the dispatch """ max_floors = 8 world = MansionConfig( dt=0.50, number_of_floors=max_floors, floor_height=4.0) test_elevator = Elevator(start_position=0.0, mansion_config=world, name="test_elevator") test_elevator._direction = 1 test_elevator._current_position = 8.0 test_elevator._target_floors = [5] test_elevator._loaded_person = [ list() for i in range( test_elevator._number_of_floors)] test_elevator._loaded_person[5].append( PersonType(6, 750, 1, 6, world.raw_time)) test_elevator._loaded_person[7].append( PersonType(7, 750, 1, 8, world.raw_time)) test_elevator._load_weight = 1500 tmp_uniform_generator = UniformPersonGenerator() ret_person = [] ret_person.append(PersonType(0, 150, 3, 5, world.raw_time)) ret_person.append(PersonType(1, 50, 3, 1, world.raw_time)) ret_person.append(PersonType(2, 60, 5, 6, world.raw_time)) ret_person.append(PersonType(4, 65, 3, 8, world.raw_time)) ret_person.append(PersonType(5, 65, 3, 6, world.raw_time)) person_generators.uniform_generator.UniformPersonGenerator.generate_person = mock.Mock( return_value=(ret_person)) test_mansion = MansionManager( elevator_number=1, person_generator=tmp_uniform_generator, mansion_config=world, name="test_mansion" ) test_mansion._elevators = [test_elevator] dispatch = [] dispatch.append(ElevatorAction(3, 1)) test_mansion.run_mansion(dispatch) # mock generate_person again ret_person = [] person_generators.uniform_generator.UniformPersonGenerator.generate_person = mock.Mock( return_value=(ret_person)) test_mansion.run_mansion(dispatch) # Door fully open, t = 1.0 dispatch = [] dispatch.append(ElevatorAction(-1, 0)) for i in range(4): test_mansion.run_mansion(dispatch) # upload person 4, t = 3.0 dispatch = [] dispatch.append(ElevatorAction(3, 1)) test_mansion.run_mansion(dispatch) state = test_mansion.state self.assertAlmostEqual(state.ElevatorStates[0].LoadWeight, 1565) test_mansion.run_mansion(dispatch) test_mansion.run_mansion(dispatch) # t = 4.5 state = test_mansion.state self.assertGreater(state.ElevatorStates[0].Velocity, 0.0) # print(test_mansion.state, "\nworld time is", world.raw_time) # checked # @unittest.skip("test") @mock.patch("person_generators.uniform_generator.UniformPersonGenerator") def test_stop_at_dispatch(self, mock_uniformgenerator): """ stop at the dispatch floor, open and close the door, then keep going to the target floor """ max_floors = 8 # mansion_config world = MansionConfig( dt=0.50, number_of_floors=max_floors, floor_height=4.0) # test_elevator test_elevator = Elevator(start_position=0.0, mansion_config=world, name="test_elevator") test_elevator._direction = 1 test_elevator._current_velocity = 2.0 test_elevator._current_position = 4.0 # currently at 2 floor test_elevator._target_floors = [5] test_elevator._loaded_person = [ list() for i in range( test_elevator._number_of_floors)] test_elevator._loaded_person[5].append( PersonType(0, 50, 1, 6, world.raw_time)) test_elevator._load_weight = 50 # test_mansion tmp_uniform_generator = UniformPersonGenerator() ret_person = [] person_generators.uniform_generator.UniformPersonGenerator.generate_person = mock.Mock( return_value=(ret_person)) test_mansion = MansionManager( elevator_number=1, person_generator=tmp_uniform_generator, mansion_config=world, name="test_mansion" ) test_mansion._elevators = [test_elevator] # test dispatch = [] dispatch.append(ElevatorAction(3, 1)) for i in range(7): test_mansion.run_mansion(dispatch) # stop at the dispatched floor # print(test_mansion.state, "\nworld time is", world.raw_time) # dispatch = [] # dispatch.append(ElevatorAction(-1, 0)) for i in range(2): # the door is fully open, t = 4.5 test_mansion.run_mansion(dispatch) state = test_mansion.state self.assertAlmostEqual(state.ElevatorStates[0].DoorState, 1.0) dispatch = [] dispatch.append(ElevatorAction(0, 0)) for i in range(6): # finish time open lag and close the door test_mansion.run_mansion(dispatch) state = test_mansion.state self.assertAlmostEqual(state.ElevatorStates[0].DoorState, 0.0) for i in range(4): test_mansion.run_mansion(dispatch) # then keep going up state = test_mansion.state self.assertAlmostEqual(state.ElevatorStates[0].Velocity, 2.0) # checked # @unittest.skip("test") @mock.patch("person_generators.uniform_generator.UniformPersonGenerator") def test_dispatch_when_closing(self, mock_uniformgenerator): """ dispatch the current floor when the door is closing """ max_floors = 8 # mansion_config world = MansionConfig( dt=0.50, number_of_floors=max_floors, floor_height=4.0) # test_elevator test_elevator = Elevator(start_position=0.0, mansion_config=world, name="test_elevator") test_elevator._direction = 1 test_elevator._current_position = 8.0 test_elevator._target_floors = [4, 5] test_elevator._loaded_person = [ list() for i in range( test_elevator._number_of_floors)] test_elevator._loaded_person[3].append( PersonType(6, 40, 1, 4, world.raw_time)) test_elevator._loaded_person[4].append( PersonType(7, 40, 1, 5, world.raw_time)) test_elevator._load_weight = 80 # test_mansion tmp_uniform_generator = UniformPersonGenerator() ret_person = [] ret_person.append(PersonType(0, 50, 3, 5, world.raw_time)) ret_person.append(PersonType(1, 50, 3, 1, world.raw_time)) ret_person.append(PersonType(2, 60, 6, 4, world.raw_time)) person_generators.uniform_generator.UniformPersonGenerator.generate_person = mock.Mock( return_value=(ret_person)) test_mansion = MansionManager( elevator_number=1, person_generator=tmp_uniform_generator, mansion_config=world, name="test_mansion" ) test_mansion._elevators = [test_elevator] dispatch = [] dispatch.append(ElevatorAction(3, 1)) # run_mansion test_mansion.run_mansion(dispatch) ret_person = [] person_generators.uniform_generator.UniformPersonGenerator.generate_person = mock.Mock( return_value=(ret_person)) test_mansion.run_mansion(dispatch) # the door is open, t = 1.0 # print(test_mansion.state, "\nworld time is", world.raw_time) dispatch = [] dispatch.append(ElevatorAction(-1, 0)) for i in range(4): test_mansion.run_mansion(dispatch) # load person 0, t = 3.0 # the door is closing, the door state = 0.5, t = 3.5 test_mansion.run_mansion(dispatch) # come two more passengers ret_person = [] ret_person.append(PersonType(4, 55, 3, 4, world.raw_time)) ret_person.append(PersonType(5, 65, 3, 6, world.raw_time)) person_generators.uniform_generator.UniformPersonGenerator.generate_person = mock.Mock( return_value=(ret_person)) dispatch = [] dispatch.append(ElevatorAction(3, 1)) # the door is open, door_state = 1.0, time = 4.0 test_mansion.run_mansion(dispatch) state = test_mansion.state self.assertAlmostEqual(state.ElevatorStates[0].DoorState, 1.0) ret_person = [] person_generators.uniform_generator.UniformPersonGenerator.generate_person = mock.Mock( return_value=(ret_person)) dispatch = [] dispatch.append(ElevatorAction(-1, 0)) for i in range(4): test_mansion.run_mansion(dispatch) # load the two passengers state = test_mansion.state self.assertAlmostEqual(state.ElevatorStates[0].LoadWeight, 250) # checked # @unittest.skip("test") @mock.patch("person_generators.uniform_generator.UniformPersonGenerator") def test_dispatch_invalid(self, mock_uniformgenerator): """ ignore the invalid dispatch (cannot stop at the dispatch) and decelerate when needed (test velocity_planner) """ max_floors = 8 # mansion_config world = MansionConfig( dt=0.50, number_of_floors=max_floors, floor_height=4.0 ) # test_elevator test_elevator = Elevator(start_position=0.0, mansion_config=world, name="test_eleavtor") test_elevator._direction = 1 test_elevator._current_velocity = 2.0 test_elevator._current_position = 8.0 # currently at 3 floor test_elevator._target_floors = [5, 8] # target 5 floor test_elevator._loaded_person = [ list() for i in range( test_elevator._number_of_floors)] test_elevator._loaded_person[4].append( PersonType(6, 40, 1, 5, world.raw_time)) test_elevator._loaded_person[7].append( PersonType(7, 40, 1, 8, world.raw_time)) test_elevator._load_weight = 80 # test_mansion tmp_uniform_generator = UniformPersonGenerator() ret_person = [] person_generators.uniform_generator.UniformPersonGenerator.generate_person = mock.Mock( return_value=(ret_person)) test_mansion = MansionManager( elevator_number=1, person_generator=tmp_uniform_generator, mansion_config=world, name="test_mansion" ) test_mansion._elevators = [test_elevator] dispatch = [] dispatch.append(ElevatorAction(3, 1)) test_mansion.run_mansion(dispatch) state = test_mansion.state self.assertAlmostEqual(state.ElevatorStates[0].Velocity, 2.0) test_mansion.run_mansion(dispatch) state = test_mansion.state self.assertAlmostEqual( state.ElevatorStates[0].Velocity, 2.0) # ignore the invalid dispatch for i in range(5): test_mansion.run_mansion(dispatch) test_mansion.run_mansion(dispatch) test_mansion.run_mansion(dispatch) test_mansion.run_mansion(dispatch) state = test_mansion.state self.assertAlmostEqual(state.ElevatorStates[0].Velocity, 0.0) # checked # @unittest.skip("test") @mock.patch("person_generators.uniform_generator.UniformPersonGenerator") def test_no_dispatch(self, mock_uniformgenerator): """ arrive at the target, no dispatch, hold still """ max_floors = 8 # mansion_config world = MansionConfig( dt=0.50, number_of_floors=max_floors, floor_height=4.0 ) # test_elevator test_elevator = Elevator(start_position=0.0, mansion_config=world, name="test_eleavtor") test_elevator._direction = 1 test_elevator._current_velocity = 0 test_elevator._current_position = 8.0 # currently at 3 floor test_elevator._target_floors = [3] # target 3 floor test_elevator._loaded_person = [ list() for i in range( test_elevator._number_of_floors)] test_elevator._loaded_person[2].append( PersonType(0, 40, 1, 3, world.raw_time)) test_elevator._load_weight = 40 # test_mansion tmp_uniform_generator = UniformPersonGenerator() ret_person = [] person_generators.uniform_generator.UniformPersonGenerator.generate_person = mock.Mock( return_value=(ret_person)) test_mansion = MansionManager( elevator_number=1, person_generator=tmp_uniform_generator, mansion_config=world, name="test_mansion" ) test_mansion._elevators = [test_elevator] dispatch = [] dispatch.append(ElevatorAction(-1, 0)) test_mansion.run_mansion(dispatch) test_mansion.run_mansion(dispatch) # open the door for i in range(4): test_mansion.run_mansion(dispatch) # unload person 0 test_mansion.run_mansion(dispatch) test_mansion.run_mansion(dispatch) # close the door test_mansion.run_mansion(dispatch) test_mansion.run_mansion(dispatch) state = test_mansion.state self.assertAlmostEqual(state.ElevatorStates[0].DoorState, 0.0) self.assertAlmostEqual(state.ElevatorStates[0].Velocity, 0.0) self.assertAlmostEqual(state.ElevatorStates[0].Floor, 3.0) self.assertAlmostEqual(state.ElevatorStates[0].Direction, 0) # @unittest.skip("test") @mock.patch("person_generators.uniform_generator.UniformPersonGenerator") def test_dispatch_twice(self, mock_uniformgenerator): """ no target, dispatch (3, 1) first, then (8, -1) decelerate then accelerate not accelerate immediately """ max_floors = 8 # mansion_config world = MansionConfig( dt=0.50, number_of_floors=max_floors, floor_height=4.0 ) # test_elevator test_elevator = Elevator(start_position=0.0, mansion_config=world, name="test_elevator") test_elevator._direction = 1 test_elevator._current_velocity = 2.0 test_elevator._current_position = 9.0 test_elevator._target_floors = list() test_elevator._loaded_person = [ list() for i in range( test_elevator._number_of_floors)] test_elevator._load_weight = 0 # mansion tmp_uniform_generator = UniformPersonGenerator() ret_person = [] person_generators.uniform_generator.UniformPersonGenerator.generate_person = mock.Mock( return_value=(ret_person)) test_mansion = MansionManager( elevator_number=1, person_generator=tmp_uniform_generator, mansion_config=world, name="test_mansion" ) test_mansion._elevators = [test_elevator] # first, dispatch to 8 floor dispatch = [] dispatch.append(ElevatorAction(4, 1)) test_mansion.run_mansion(dispatch) test_mansion.run_mansion(dispatch) test_mansion.run_mansion(dispatch) dispatch = [] dispatch.append(ElevatorAction(8, -1)) test_mansion.run_mansion(dispatch) # accelerate at once test_mansion.run_mansion(dispatch) state = test_mansion.state self.assertAlmostEqual(state.ElevatorStates[0].Velocity, 2.0) # checked # @unittest.skip("test") @mock.patch("person_generators.uniform_generator.UniformPersonGenerator") def test_cancel_dispatch(self, mock_uniformgenerator): """ no target, dispatch first, accelerate, then cancel dispatch, decelerate """ max_floors = 8 # mansion_config world = MansionConfig( dt=0.50, number_of_floors=max_floors, floor_height=4.0 ) # test_elevator test_elevator = Elevator(start_position=0.0, mansion_config=world, name="test_elevator") test_elevator._direction = 0 test_elevator._current_velocity = 0.0 test_elevator._current_position = 8.0 test_elevator._target_floors = list() test_elevator._loaded_person = [ list() for i in range( test_elevator._number_of_floors)] test_elevator._load_weight = 0 # mansion tmp_uniform_generator = UniformPersonGenerator() ret_person = [] person_generators.uniform_generator.UniformPersonGenerator.generate_person = mock.Mock( return_value=(ret_person)) test_mansion = MansionManager( elevator_number=1, person_generator=tmp_uniform_generator, mansion_config=world, name="test_mansion" ) test_mansion._elevators = [test_elevator] dispatch = [] dispatch.append(ElevatorAction(6, 1)) test_mansion.run_mansion(dispatch) test_mansion.run_mansion(dispatch) # t = 1.0 dispatch = [] dispatch.append(ElevatorAction(0, -1)) for i in range(10): test_mansion.run_mansion(dispatch) state = test_mansion.state self.assertAlmostEqual(state.ElevatorStates[0].DoorState, 0.0) self.assertAlmostEqual(state.ElevatorStates[0].Velocity, 0.0) @mock.patch("person_generators.uniform_generator.UniformPersonGenerator") def test_set_direction_0(self, mock_uniformgenerator): """ When the elevator is stopped and empty, always set direction as 0 first, then set as dispatch_target_direction """ max_floors = 8 # mansion_config world = MansionConfig( dt=0.50, number_of_floors=max_floors, floor_height=4.0 ) # test_elevator test_elevator = Elevator(start_position=0.0, mansion_config=world, name="test_elevator") test_elevator._direction = 1 test_elevator._current_velocity = 0.0 test_elevator._current_position = 8.0 # 3rd floor test_elevator._target_floors = list() test_elevator._loaded_person = [ list() for i in range( test_elevator._number_of_floors)] test_elevator._load_weight = 0 # mansion tmp_uniform_generator = UniformPersonGenerator() ret_person = [] ret_person.append(PersonType(0, 50, 3, 1, world.raw_time)) person_generators.uniform_generator.UniformPersonGenerator.generate_person = mock.Mock( return_value=(ret_person)) test_mansion = MansionManager( elevator_number=1, person_generator=tmp_uniform_generator, mansion_config=world, name="test_mansion" ) test_mansion._elevators = [test_elevator] dispatch = [] dispatch.append(ElevatorAction(3, -1)) test_mansion.run_mansion(dispatch) test_mansion.run_mansion(dispatch) # t = 1.0 # print(test_mansion.state, "\nworld time is", world.raw_time) state = test_mansion.state self.assertAlmostEqual(state.ElevatorStates[0].Direction, -1) if __name__ == '__main__': unittest.main()

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null

0

7

6a6194a2a790f3394fee53f4d76791e84363c659

2,245

py

Python

tests/test_integration_protocol.py

tstirrat15/pywinrm

124fe223eafa7bed3a1bf417c7f1ebc61d98850d

[ "MIT" ]

null

tests/test_integration_protocol.py

tstirrat15/pywinrm

124fe223eafa7bed3a1bf417c7f1ebc61d98850d

[ "MIT" ]

1

2016-03-10T21:01:51.000Z

tests/test_integration_protocol.py

tstirrat15/pywinrm

124fe223eafa7bed3a1bf417c7f1ebc61d98850d

[ "MIT" ]

2

2016-03-10T17:07:45.000Z

2022-02-13T20:50:28.000Z

from __future__ import unicode_literals import re import pytest xfail = pytest.mark.xfail def test_open_shell_and_close_shell(protocol_real): shell_id = protocol_real.open_shell() assert re.match('^\w{8}-\w{4}-\w{4}-\w{4}-\w{12}$', shell_id) protocol_real.close_shell(shell_id) def test_run_command_with_arguments_and_cleanup_command(protocol_real): shell_id = protocol_real.open_shell() command_id = protocol_real.run_command(shell_id, 'ipconfig', ['/all']) assert re.match('^\w{8}-\w{4}-\w{4}-\w{4}-\w{12}$', command_id) protocol_real.cleanup_command(shell_id, command_id) protocol_real.close_shell(shell_id) def test_run_command_without_arguments_and_cleanup_command(protocol_real): shell_id = protocol_real.open_shell() command_id = protocol_real.run_command(shell_id, 'hostname') assert re.match('^\w{8}-\w{4}-\w{4}-\w{4}-\w{12}$', command_id) protocol_real.cleanup_command(shell_id, command_id) protocol_real.close_shell(shell_id) def test_get_command_output(protocol_real): shell_id = protocol_real.open_shell() command_id = protocol_real.run_command(shell_id, 'ipconfig', ['/all']) std_out, std_err, status_code = protocol_real.get_command_output( shell_id, command_id) assert status_code == 0 assert 'Windows IP Configuration' in std_out assert len(std_err) == 0 protocol_real.cleanup_command(shell_id, command_id) protocol_real.close_shell(shell_id) def test_run_command_taking_more_than_60_seconds(protocol_real): shell_id = protocol_real.open_shell() command_id = protocol_real.run_command( shell_id, 'PowerShell -Command Start-Sleep -s 75') assert re.match('^\w{8}-\w{4}-\w{4}-\w{4}-\w{12}$', command_id) std_out, std_err, status_code = protocol_real.get_command_output( shell_id, command_id) assert status_code == 0 assert len(std_err) == 0 protocol_real.cleanup_command(shell_id, command_id) protocol_real.close_shell(shell_id) @xfail() def test_set_timeout(protocol_real): raise NotImplementedError() @xfail() def test_set_max_env_size(protocol_real): raise NotImplementedError() @xfail() def test_set_locale(protocol_real): raise NotImplementedError()

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0

7

6a76c068bf5d42b59e23a34e19ca1e56cb448be6

79,144

py

Python

dashboard/dashboard/models/alert_group_workflow_test.py

Countryboy13/catapult

abc7ba7d871fe3c25b0a1bec7fc84fb309034cb7

[ "BSD-3-Clause" ]

null

dashboard/dashboard/models/alert_group_workflow_test.py

Countryboy13/catapult

abc7ba7d871fe3c25b0a1bec7fc84fb309034cb7

[ "BSD-3-Clause" ]

null

dashboard/dashboard/models/alert_group_workflow_test.py

Countryboy13/catapult

abc7ba7d871fe3c25b0a1bec7fc84fb309034cb7

[ "BSD-3-Clause" ]

null

# Copyright 2020 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. # pylint: disable=too-many-lines from __future__ import print_function from __future__ import division from __future__ import absolute_import import datetime import json import uuid from google.appengine.ext import ndb from dashboard.common import namespaced_stored_object from dashboard.common import testing_common from dashboard.common import utils from dashboard.models import alert_group from dashboard.models import alert_group_workflow from dashboard.models import anomaly from dashboard.models import subscription _SERVICE_ACCOUNT_EMAIL = 'service-account@chromium.org' class AlertGroupWorkflowTest(testing_common.TestCase): def setUp(self): super(AlertGroupWorkflowTest, self).setUp() self.maxDiff = None self._issue_tracker = testing_common.FakeIssueTrackerService() self._sheriff_config = testing_common.FakeSheriffConfigClient() self._pinpoint = testing_common.FakePinpoint() self._crrev = testing_common.FakeCrrev() self._gitiles = testing_common.FakeGitiles() self._revision_info = testing_common.FakeRevisionInfoClient( infos={ 'r_chromium_commit_pos': { 'name': 'Chromium Commit Position', 'url': 'http://test-results.appspot.com/revision_range?start={{R1}}&end={{R2}}', }, }, revisions={ 'master/bot/test_suite/measurement/test_case': { 0: { 'r_chromium_commit_pos': '0' }, 100: { 'r_chromium_commit_pos': '100' }, } }) self._service_account = lambda: _SERVICE_ACCOUNT_EMAIL @staticmethod def _AddAnomaly(is_summary=False, **kwargs): default = { 'test': 'master/bot/test_suite/measurement/test_case', 'start_revision': 1, 'end_revision': 100, 'is_improvement': False, 'median_before_anomaly': 1.1, 'median_after_anomaly': 1.3, 'ownership': { 'component': 'Foo>Bar', 'emails': ['x@google.com', 'y@google.com'], 'info_blurb': 'This is an info blurb.', }, } default.update(kwargs) tests = default['test'].split('/') def GenerateTestDict(tests): if not tests: return {} return {tests[0]: GenerateTestDict(tests[1:])} testing_common.AddTests([tests[0]], [tests[1]], GenerateTestDict(tests[2:])) test_key = utils.TestKey(default['test']) if not is_summary: t = test_key.get() t.unescaped_story_name = 'story' t.put() default['test'] = test_key return anomaly.Anomaly(**default).put() @staticmethod def _AddSignalQualityScore(anomaly_key, signal_score): version = 0 key = ndb.Key( 'SignalQuality', anomaly_key.get().test.string_id(), 'SignalQualityScore', str(version), ) return alert_group_workflow.SignalQualityScore( key=key, score=signal_score, updated_time=datetime.datetime.now(), ).put() @staticmethod def _AddAlertGroup(anomaly_key, subscription_name=None, issue=None, anomalies=None, status=None, project_id=None, bisection_ids=None, canonical_group=None): anomaly_entity = anomaly_key.get() group = alert_group.AlertGroup( id=str(uuid.uuid4()), name=anomaly_entity.benchmark_name, subscription_name=subscription_name or 'sheriff', status=alert_group.AlertGroup.Status.untriaged, project_id=project_id or 'chromium', active=True, revision=alert_group.RevisionRange( repository='chromium', start=anomaly_entity.start_revision, end=anomaly_entity.end_revision, ), bisection_ids=bisection_ids or [], ) if issue: group.bug = alert_group.BugInfo( bug_id=issue.get('id'), project=issue.get('projectId', 'chromium'), ) group.project_id = issue.get('projectId', 'chromium') if anomalies: group.anomalies = anomalies if status: group.status = status if canonical_group: group.canonical_group = canonical_group return group.put() @staticmethod # Perform same update on the same group twice because operation will only # be triggered when monorail not being updated def _UpdateTwice(workflow, update): workflow.Process(update=update) workflow.Process(update=update) def testAddAnomalies_GroupUntriaged(self): anomalies = [self._AddAnomaly(), self._AddAnomaly()] added = [self._AddAnomaly(), self._AddAnomaly()] group = self._AddAlertGroup(anomalies[0], anomalies=anomalies) self._sheriff_config.patterns = { '*': [subscription.Subscription(name='sheriff')], } w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, ) self._UpdateTwice( workflow=w, update=alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow(), anomalies=ndb.get_multi(anomalies + added), issue={}, )) self.assertEqual(len(group.get().anomalies), 4) for a in added: self.assertIn(a, group.get().anomalies) def testAddAnomalies_GroupTriaged_IssueOpen(self): anomalies = [self._AddAnomaly(), self._AddAnomaly()] added = [self._AddAnomaly(), self._AddAnomaly()] group = self._AddAlertGroup( anomalies[0], issue=self._issue_tracker.issue, anomalies=anomalies, status=alert_group.AlertGroup.Status.triaged, ) self._issue_tracker.issue.update({ 'state': 'open', }) self._sheriff_config.patterns = { '*': [ subscription.Subscription(name='sheriff', auto_triage_enable=True) ], } w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, ) self._UpdateTwice( workflow=w, update=alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow(), anomalies=ndb.get_multi(anomalies + added), issue=self._issue_tracker.issue, )) self.assertEqual(len(group.get().anomalies), 4) self.assertEqual(group.get().status, alert_group.AlertGroup.Status.triaged) for a in added: self.assertIn(a, group.get().anomalies) self.assertEqual(group.get().bug.bug_id, self._issue_tracker.add_comment_args[0]) self.assertIn('Added 2 regressions to the group', self._issue_tracker.add_comment_args[1]) self.assertIn('4 regressions in test_suite', self._issue_tracker.add_comment_kwargs['summary']) self.assertIn('sheriff', self._issue_tracker.add_comment_kwargs['summary']) self.assertFalse(self._issue_tracker.add_comment_kwargs['send_email']) def testAddAnomalies_GroupTriaged_IssueClosed(self): anomalies = [self._AddAnomaly(), self._AddAnomaly()] added = [self._AddAnomaly(), self._AddAnomaly()] group = self._AddAlertGroup( anomalies[0], issue=self._issue_tracker.issue, anomalies=anomalies, status=alert_group.AlertGroup.Status.closed, ) self._issue_tracker.issue.update({ 'state': 'closed', 'comments': [{ 'id': 1, 'author': _SERVICE_ACCOUNT_EMAIL, 'updates': { 'status': 'WontFix' }, }], }) self._sheriff_config.patterns = { '*': [ subscription.Subscription(name='sheriff', auto_triage_enable=True) ], } w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, service_account=self._service_account, ) self._UpdateTwice( workflow=w, update=alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow(), anomalies=ndb.get_multi(anomalies + added), issue=self._issue_tracker.issue, )) self.assertEqual(len(group.get().anomalies), 4) self.assertEqual('closed', self._issue_tracker.issue.get('state')) for a in added: self.assertIn(a, group.get().anomalies) self.assertEqual(group.get().bug.bug_id, self._issue_tracker.add_comment_args[0]) self.assertIn('Added 2 regressions to the group', self._issue_tracker.add_comment_args[1]) self.assertIn('4 regressions in test_suite', self._issue_tracker.add_comment_kwargs['summary']) self.assertIn('sheriff', self._issue_tracker.add_comment_kwargs['summary']) self.assertFalse(self._issue_tracker.add_comment_kwargs['send_email']) def testAddAnomalies_GroupTriaged_IssueClosed_AutoBisect(self): anomalies = [self._AddAnomaly(), self._AddAnomaly()] added = [self._AddAnomaly(), self._AddAnomaly()] group = self._AddAlertGroup( anomalies[0], issue=self._issue_tracker.issue, anomalies=anomalies, status=alert_group.AlertGroup.Status.closed, ) self._issue_tracker.issue.update({ 'state': 'closed', 'comments': [{ 'id': 1, 'author': _SERVICE_ACCOUNT_EMAIL, 'updates': { 'status': 'WontFix' }, }], }) self._sheriff_config.patterns = { '*': [ subscription.Subscription( name='sheriff', auto_triage_enable=True, auto_bisect_enable=True) ], } w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, service_account=self._service_account, ) w.Process( update=alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow(), anomalies=ndb.get_multi(anomalies + added), issue=self._issue_tracker.issue, )) self.assertEqual(len(group.get().anomalies), 4) self.assertEqual('open', self._issue_tracker.issue.get('state')) for a in added: self.assertIn(a, group.get().anomalies) self.assertEqual(group.get().bug.bug_id, self._issue_tracker.add_comment_args[0]) self.assertIn('Added 2 regressions to the group', self._issue_tracker.add_comment_args[1]) self.assertFalse(self._issue_tracker.add_comment_kwargs['send_email']) def testUpdate_GroupTriaged_IssueClosed(self): anomalies = [self._AddAnomaly(), self._AddAnomaly()] group = self._AddAlertGroup( anomalies[0], issue=self._issue_tracker.issue, status=alert_group.AlertGroup.Status.triaged, ) self._issue_tracker.issue.update({ 'state': 'closed', 'comments': [{ 'id': 1, 'author': _SERVICE_ACCOUNT_EMAIL, 'updates': { 'status': 'WontFix' }, }], }) self._sheriff_config.patterns = { '*': [ subscription.Subscription(name='sheriff', auto_triage_enable=True) ], } w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, service_account=self._service_account, ) self._UpdateTwice( workflow=w, update=alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow(), anomalies=ndb.get_multi(anomalies), issue=self._issue_tracker.issue, )) self.assertEqual(group.get().status, alert_group.AlertGroup.Status.closed) def testAddAnomalies_GroupTriaged_IssueClosed_Manual(self): anomalies = [self._AddAnomaly(), self._AddAnomaly()] added = [self._AddAnomaly(), self._AddAnomaly()] group = self._AddAlertGroup( anomalies[0], issue=self._issue_tracker.issue, anomalies=anomalies, status=alert_group.AlertGroup.Status.closed, ) self._issue_tracker.issue.update({ 'state': 'closed', 'comments': [{ 'id': 2, 'author': "sheriff@chromium.org", 'updates': { 'status': 'WontFix' }, }, { 'id': 1, 'author': _SERVICE_ACCOUNT_EMAIL, 'updates': { 'status': 'WontFix' }, }], }) self._sheriff_config.patterns = { '*': [ subscription.Subscription( name='sheriff', auto_triage_enable=True, auto_bisect_enable=True) ], } w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, service_account=self._service_account, ) self._UpdateTwice( workflow=w, update=alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow(), anomalies=ndb.get_multi(anomalies + added), issue=self._issue_tracker.issue, )) self.assertEqual(len(group.get().anomalies), 4) self.assertEqual('closed', self._issue_tracker.issue.get('state')) for a in added: self.assertIn(a, group.get().anomalies) self.assertEqual(group.get().bug.bug_id, self._issue_tracker.add_comment_args[0]) self.assertIn('Added 2 regressions to the group', self._issue_tracker.add_comment_args[1]) self.assertFalse(self._issue_tracker.add_comment_kwargs['send_email']) def testUpdate_GroupTriaged_IssueClosed_AllTriaged(self): anomalies = [ self._AddAnomaly(recovered=True), self._AddAnomaly(recovered=True) ] group = self._AddAlertGroup( anomalies[0], issue=self._issue_tracker.issue, anomalies=anomalies, status=alert_group.AlertGroup.Status.triaged, ) self._issue_tracker.issue.update({ 'state': 'closed', 'comments': [{ 'id': 1, 'author': _SERVICE_ACCOUNT_EMAIL, 'updates': { 'status': 'WontFix' }, }], }) self._sheriff_config.patterns = { '*': [ subscription.Subscription(name='sheriff', auto_triage_enable=True) ], } w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, service_account=self._service_account, ) self._UpdateTwice( workflow=w, update=alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow(), anomalies=ndb.get_multi(anomalies), issue=self._issue_tracker.issue, )) self.assertEqual(group.get().status, alert_group.AlertGroup.Status.closed) self.assertIsNone(self._issue_tracker.add_comment_args) def testAddAnomalies_GroupTriaged_CommentsNone(self): anomalies = [self._AddAnomaly(), self._AddAnomaly()] added = [self._AddAnomaly(), self._AddAnomaly()] group = self._AddAlertGroup( anomalies[0], issue=self._issue_tracker.issue, anomalies=anomalies, status=alert_group.AlertGroup.Status.closed, ) self._issue_tracker.issue.update({ 'state': 'closed', 'comments': None, }) self._sheriff_config.patterns = { '*': [ subscription.Subscription( name='sheriff', auto_triage_enable=True, auto_bisect_enable=True) ], } w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, service_account=self._service_account, ) self._UpdateTwice( workflow=w, update=alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow(), anomalies=ndb.get_multi(anomalies + added), issue=self._issue_tracker.issue, )) self.assertEqual(len(group.get().anomalies), 4) self.assertEqual('closed', self._issue_tracker.issue.get('state')) for a in added: self.assertIn(a, group.get().anomalies) self.assertEqual(group.get().bug.bug_id, self._issue_tracker.add_comment_args[0]) self.assertIn('Added 2 regressions to the group', self._issue_tracker.add_comment_args[1]) self.assertFalse(self._issue_tracker.add_comment_kwargs['send_email']) def testUpdate_GroupClosed_IssueOpen(self): anomalies = [self._AddAnomaly(), self._AddAnomaly()] group = self._AddAlertGroup( anomalies[0], issue=self._issue_tracker.issue, status=alert_group.AlertGroup.Status.closed, ) self._issue_tracker.issue.update({ 'state': 'open', }) self._sheriff_config.patterns = { '*': [ subscription.Subscription(name='sheriff', auto_triage_enable=True) ], } w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, ) self._UpdateTwice( workflow=w, update=alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow(), anomalies=ndb.get_multi(anomalies), issue=self._issue_tracker.issue, )) self.assertEqual(group.get().status, alert_group.AlertGroup.Status.triaged) def testUpdate_GroupTriaged_AlertsAllRecovered(self): anomalies = [ self._AddAnomaly(recovered=True), self._AddAnomaly(recovered=True), ] group = self._AddAlertGroup( anomalies[0], issue=self._issue_tracker.issue, status=alert_group.AlertGroup.Status.triaged, ) self._issue_tracker.issue.update({ 'state': 'open', }) self._sheriff_config.patterns = { '*': [ subscription.Subscription(name='sheriff', auto_triage_enable=True) ], } w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, ) self._UpdateTwice( workflow=w, update=alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow(), anomalies=ndb.get_multi(anomalies), issue=self._issue_tracker.issue, )) self.assertEqual('closed', self._issue_tracker.issue.get('state')) def testUpdate_GroupTriaged_AlertsPartRecovered(self): anomalies = [self._AddAnomaly(recovered=True), self._AddAnomaly()] group = self._AddAlertGroup( anomalies[0], issue=self._issue_tracker.issue, status=alert_group.AlertGroup.Status.triaged, ) self._issue_tracker.issue.update({ 'state': 'open', }) self._sheriff_config.patterns = { '*': [ subscription.Subscription(name='sheriff', auto_triage_enable=True) ], } w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, ) self._UpdateTwice( workflow=w, update=alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow(), anomalies=ndb.get_multi(anomalies), issue=self._issue_tracker.issue, )) self.assertEqual('open', self._issue_tracker.issue.get('state')) def testTriage_GroupUntriaged(self): anomalies = [self._AddAnomaly(), self._AddAnomaly()] group = self._AddAlertGroup( anomalies[0], status=alert_group.AlertGroup.Status.untriaged, ) self._sheriff_config.patterns = { '*': [ subscription.Subscription(name='sheriff', auto_triage_enable=True) ], } w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, revision_info=self._revision_info, config=alert_group_workflow.AlertGroupWorkflow.Config( active_window=datetime.timedelta(days=7), triage_delay=datetime.timedelta(hours=0), ), ) self._UpdateTwice( workflow=w, update=alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow(), anomalies=ndb.get_multi(anomalies), issue=None, )) self.assertIn('2 regressions', self._issue_tracker.new_bug_args[0]) self.assertIn( 'Chromium Commit Position: http://test-results.appspot.com/revision_range?start=0&end=100', self._issue_tracker.new_bug_args[1]) def testTriage_GroupUntriaged_MultiSubscriptions(self): anomalies = [self._AddAnomaly(), self._AddAnomaly()] group = self._AddAlertGroup( anomalies[0], status=alert_group.AlertGroup.Status.untriaged, ) self._sheriff_config.patterns = { '*': [ subscription.Subscription(name='sheriff'), subscription.Subscription( name='sheriff_not_bind', auto_triage_enable=True) ], } w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, revision_info=self._revision_info, config=alert_group_workflow.AlertGroupWorkflow.Config( active_window=datetime.timedelta(days=7), triage_delay=datetime.timedelta(hours=0), ), ) self._UpdateTwice( workflow=w, update=alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow(), anomalies=ndb.get_multi(anomalies), issue=None, )) self.assertIsNone(self._issue_tracker.new_bug_args) def testTriage_GroupUntriaged_NonChromiumProject(self): anomalies = [self._AddAnomaly()] # TODO(dberris): Figure out a way to not have to hack the fake service to # seed it with the correct issue in the correct project. self._issue_tracker.issues[( 'v8', self._issue_tracker.bug_id)] = self._issue_tracker.issues[( 'chromium', self._issue_tracker.bug_id)] del self._issue_tracker.issues[('chromium', self._issue_tracker.bug_id)] self._issue_tracker.issues[('v8', self._issue_tracker.bug_id)].update({ 'projectId': 'v8', }) group = self._AddAlertGroup( anomalies[0], status=alert_group.AlertGroup.Status.untriaged, project_id='v8') self._sheriff_config.patterns = { '*': [ subscription.Subscription( name='sheriff', auto_triage_enable=True, monorail_project_id='v8') ], } self.assertEqual(group.get().project_id, 'v8') w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, revision_info=self._revision_info, config=alert_group_workflow.AlertGroupWorkflow.Config( active_window=datetime.timedelta(days=7), triage_delay=datetime.timedelta(hours=0), )) self._UpdateTwice( workflow=w, update=alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow(), anomalies=ndb.get_multi(anomalies), issue=None)) self.assertEqual(group.get().bug.project, 'v8') self.assertEqual(anomalies[0].get().project_id, 'v8') def testTriage_GroupUntriaged_MultipleRange(self): anomalies = [ self._AddAnomaly(median_before_anomaly=0.2, start_revision=10), self._AddAnomaly(median_before_anomaly=0.1) ] group = self._AddAlertGroup( anomalies[0], status=alert_group.AlertGroup.Status.untriaged, ) self._sheriff_config.patterns = { '*': [ subscription.Subscription(name='sheriff', auto_triage_enable=True) ], } w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, revision_info=self._revision_info, config=alert_group_workflow.AlertGroupWorkflow.Config( active_window=datetime.timedelta(days=7), triage_delay=datetime.timedelta(hours=0), ), ) self._UpdateTwice( workflow=w, update=alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow(), anomalies=ndb.get_multi(anomalies), issue=None, )) self.assertIn('2 regressions', self._issue_tracker.new_bug_args[0]) self.assertIn( 'Chromium Commit Position: http://test-results.appspot.com/revision_range?start=0&end=100', self._issue_tracker.new_bug_args[1]) def testTriage_GroupUntriaged_InfAnomaly(self): anomalies = [self._AddAnomaly(median_before_anomaly=0), self._AddAnomaly()] group = self._AddAlertGroup( anomalies[0], status=alert_group.AlertGroup.Status.untriaged, ) self._sheriff_config.patterns = { '*': [ subscription.Subscription(name='sheriff', auto_triage_enable=True) ], } w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, revision_info=self._revision_info, config=alert_group_workflow.AlertGroupWorkflow.Config( active_window=datetime.timedelta(days=7), triage_delay=datetime.timedelta(hours=0), ), ) self._UpdateTwice( workflow=w, update=alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow(), anomalies=ndb.get_multi(anomalies), issue=None, )) self.assertIn('inf', self._issue_tracker.new_bug_args[1]) def testTriage_GroupTriaged_InfAnomaly(self): anomalies = [self._AddAnomaly(median_before_anomaly=0), self._AddAnomaly()] group = self._AddAlertGroup( anomalies[0], issue=self._issue_tracker.issue, status=alert_group.AlertGroup.Status.triaged, ) self._sheriff_config.patterns = { '*': [ subscription.Subscription(name='sheriff', auto_triage_enable=True) ], } w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, ) self._UpdateTwice( workflow=w, update=alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow(), anomalies=ndb.get_multi(anomalies), issue=self._issue_tracker.issue, )) self.assertIn('inf', self._issue_tracker.add_comment_args[1]) self.assertFalse(self._issue_tracker.add_comment_kwargs['send_email']) def testArchive_GroupUntriaged(self): anomalies = [self._AddAnomaly(), self._AddAnomaly()] group = self._AddAlertGroup( anomalies[0], anomalies=anomalies, status=alert_group.AlertGroup.Status.untriaged, ) self._sheriff_config.patterns = { '*': [subscription.Subscription(name='sheriff')], } w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, config=alert_group_workflow.AlertGroupWorkflow.Config( active_window=datetime.timedelta(days=0), triage_delay=datetime.timedelta(hours=0), ), ) self._UpdateTwice( workflow=w, update=alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow() + datetime.timedelta(seconds=1), anomalies=ndb.get_multi(anomalies), issue=None, )) self.assertEqual(False, group.get().active) def testArchive_GroupTriaged(self): anomalies = [self._AddAnomaly(), self._AddAnomaly()] group = self._AddAlertGroup( anomalies[0], anomalies=anomalies, issue=self._issue_tracker.issue, status=alert_group.AlertGroup.Status.triaged, ) self._issue_tracker.issue.update({ 'state': 'open', }) self._sheriff_config.patterns = { '*': [ subscription.Subscription(name='sheriff', auto_triage_enable=True) ], } w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, config=alert_group_workflow.AlertGroupWorkflow.Config( active_window=datetime.timedelta(days=0), triage_delay=datetime.timedelta(hours=0), ), ) self._UpdateTwice( workflow=w, update=alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow(), anomalies=ndb.get_multi(anomalies), issue=self._issue_tracker.issue, )) self.assertEqual(False, group.get().active) def testBisect_GroupTriaged(self): anomalies = [ self._AddAnomaly(median_before_anomaly=0.2), self._AddAnomaly(median_before_anomaly=0.1), ] group = self._AddAlertGroup( anomalies[0], issue=self._issue_tracker.issue, status=alert_group.AlertGroup.Status.triaged, ) self._issue_tracker.issue.update({ 'state': 'open', }) self._sheriff_config.patterns = { '*': [ subscription.Subscription( name='sheriff', auto_triage_enable=True, auto_bisect_enable=True) ], } w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, pinpoint=self._pinpoint, crrev=self._crrev, ) self._UpdateTwice( workflow=w, update=alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow(), anomalies=ndb.get_multi(anomalies), issue=self._issue_tracker.issue, )) tags = json.loads(self._pinpoint.new_job_request['tags']) self.assertEqual(anomalies[1].urlsafe(), tags['alert']) # Tags must be a dict of key/value string pairs. for k, v in tags.items(): self.assertIsInstance(k, basestring) self.assertIsInstance(v, basestring) self.assertEqual(['123456'], group.get().bisection_ids) self.assertEqual(['Chromeperf-Auto-Bisected'], self._issue_tracker.add_comment_kwargs['labels']) def testBisect_GroupTriaged_WithSummary(self): anomalies = [ self._AddAnomaly( test='master/bot1/test_suite/measurement/test_case1', median_before_anomaly=0.2, ), self._AddAnomaly( test='master/bot1/test_suite/measurement/test_case2', median_before_anomaly=0.1, is_summary=True, ), ] group = self._AddAlertGroup( anomalies[0], issue=self._issue_tracker.issue, status=alert_group.AlertGroup.Status.triaged, ) self._issue_tracker.issue.update({ 'state': 'open', }) self._sheriff_config.patterns = { '*': [ subscription.Subscription( name='sheriff', auto_triage_enable=True, auto_bisect_enable=True) ], } w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, pinpoint=self._pinpoint, crrev=self._crrev, ) self._UpdateTwice( workflow=w, update=alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow(), anomalies=ndb.get_multi(anomalies), issue=self._issue_tracker.issue, )) tags = json.loads(self._pinpoint.new_job_request['tags']) self.assertEqual(anomalies[0].urlsafe(), tags['alert']) # Tags must be a dict of key/value string pairs. for k, v in tags.items(): self.assertIsInstance(k, basestring) self.assertIsInstance(v, basestring) self.assertEqual(['123456'], group.get().bisection_ids) self.assertEqual(['Chromeperf-Auto-Bisected'], self._issue_tracker.add_comment_kwargs['labels']) def testBisect_GroupTriaged_WithSignalQuality(self): anomalies = [ self._AddAnomaly( test='master/bot/test_suite/measurement/test_case1', median_before_anomaly=0.2, ), self._AddAnomaly( test='master/bot/test_suite/measurement/test_case2', median_before_anomaly=0.1, ), ] self._AddSignalQualityScore(anomalies[0], 0.9) self._AddSignalQualityScore(anomalies[1], 0.8) group = self._AddAlertGroup( anomalies[0], issue=self._issue_tracker.issue, status=alert_group.AlertGroup.Status.triaged, ) self._issue_tracker.issue.update({ 'state': 'open', }) self._sheriff_config.patterns = { '*': [ subscription.Subscription( name='sheriff', auto_triage_enable=True, auto_bisect_enable=True) ], } w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, pinpoint=self._pinpoint, crrev=self._crrev, ) self._UpdateTwice( workflow=w, update=alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow(), anomalies=ndb.get_multi(anomalies), issue=self._issue_tracker.issue, )) tags = json.loads(self._pinpoint.new_job_request['tags']) self.assertEqual(anomalies[0].urlsafe(), tags['alert']) def testBisect_GroupTriaged_WithDefaultSignalQuality(self): anomalies = [ self._AddAnomaly( test='master/bot/test_suite/measurement/test_case1', median_before_anomaly=0.1, ), self._AddAnomaly( test='master/bot/test_suite/measurement/test_case2', median_before_anomaly=0.2, ), self._AddAnomaly( test='master/bot/test_suite/measurement/test_case3', median_before_anomaly=0.3, ), ] self._AddSignalQualityScore(anomalies[0], 0.3) self._AddSignalQualityScore(anomalies[1], 0.2) group = self._AddAlertGroup( anomalies[0], issue=self._issue_tracker.issue, status=alert_group.AlertGroup.Status.triaged, ) self._issue_tracker.issue.update({ 'state': 'open', }) self._sheriff_config.patterns = { '*': [ subscription.Subscription( name='sheriff', auto_triage_enable=True, auto_bisect_enable=True) ], } w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, pinpoint=self._pinpoint, crrev=self._crrev, ) self._UpdateTwice( workflow=w, update=alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow(), anomalies=ndb.get_multi(anomalies), issue=self._issue_tracker.issue, )) tags = json.loads(self._pinpoint.new_job_request['tags']) self.assertEqual(anomalies[2].urlsafe(), tags['alert']) # Tags must be a dict of key/value string pairs. for k, v in tags.items(): self.assertIsInstance(k, basestring) self.assertIsInstance(v, basestring) self.assertEqual(['123456'], group.get().bisection_ids) self.assertEqual(['Chromeperf-Auto-Bisected'], self._issue_tracker.add_comment_kwargs['labels']) def testBisect_GroupTriaged_MultiSubscriptions(self): anomalies = [ self._AddAnomaly(median_before_anomaly=0.2), self._AddAnomaly(median_before_anomaly=0.1), ] group = self._AddAlertGroup( anomalies[0], issue=self._issue_tracker.issue, status=alert_group.AlertGroup.Status.triaged, ) self._issue_tracker.issue.update({ 'state': 'open', }) self._sheriff_config.patterns = { '*': [ subscription.Subscription(name='sheriff'), subscription.Subscription( name='sheriff_not_bind', auto_triage_enable=True, auto_bisect_enable=True) ], } w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, pinpoint=self._pinpoint, crrev=self._crrev, ) self._UpdateTwice( workflow=w, update=alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow(), anomalies=ndb.get_multi(anomalies), issue=self._issue_tracker.issue, )) self.assertIsNone(self._pinpoint.new_job_request) def testBisect_GroupBisected(self): anomalies = [self._AddAnomaly(), self._AddAnomaly()] group = self._AddAlertGroup( anomalies[0], issue=self._issue_tracker.issue, status=alert_group.AlertGroup.Status.bisected, ) self._issue_tracker.issue.update({ 'state': 'open', }) self._sheriff_config.patterns = { '*': [ subscription.Subscription( name='sheriff', auto_triage_enable=True, auto_bisect_enable=True) ], } w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, pinpoint=self._pinpoint, crrev=self._crrev, ) self._UpdateTwice( workflow=w, update=alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow(), anomalies=ndb.get_multi(anomalies), issue=self._issue_tracker.issue, )) self.assertIsNone(self._pinpoint.new_job_request) def testBisect_GroupTriaged_NoRecovered(self): anomalies = [ self._AddAnomaly( median_before_anomaly=0.1, median_after_anomaly=1.0, recovered=True), self._AddAnomaly(median_before_anomaly=0.2, median_after_anomaly=1.0), ] group = self._AddAlertGroup( anomalies[1], issue=self._issue_tracker.issue, status=alert_group.AlertGroup.Status.triaged, anomalies=anomalies, ) self._issue_tracker.issue.update({ 'state': 'open', }) self._sheriff_config.patterns = { '*': [ subscription.Subscription( name='sheriff', auto_triage_enable=True, auto_bisect_enable=True) ], } w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, pinpoint=self._pinpoint, crrev=self._crrev, ) self._UpdateTwice( workflow=w, update=alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow(), anomalies=ndb.get_multi(anomalies), issue=self._issue_tracker.issue, )) self.assertIsNotNone(self._pinpoint.new_job_request) self.assertEqual(group.get().status, alert_group.AlertGroup.Status.bisected) # Check that we bisected the anomaly that is not recovered. recovered_anomaly = anomalies[0].get() bisected_anomaly = anomalies[1].get() self.assertNotEqual(recovered_anomaly.pinpoint_bisects, ['123456']) self.assertEqual(bisected_anomaly.pinpoint_bisects, ['123456']) def testBisect_GroupTriaged_NoIgnored(self): anomalies = [ # This anomaly is manually ignored. self._AddAnomaly( median_before_anomaly=0.1, median_after_anomaly=1.0, bug_id=-2), self._AddAnomaly( median_before_anomaly=0.2, median_after_anomaly=1.0, start_revision=20), ] group = self._AddAlertGroup( anomalies[1], issue=self._issue_tracker.issue, status=alert_group.AlertGroup.Status.triaged, anomalies=anomalies, ) self._issue_tracker.issue.update({ 'state': 'open', }) self._sheriff_config.patterns = { '*': [ subscription.Subscription( name='sheriff', auto_triage_enable=True, auto_bisect_enable=True) ], } w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, pinpoint=self._pinpoint, crrev=self._crrev, ) self._UpdateTwice( workflow=w, update=alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow(), anomalies=ndb.get_multi(anomalies), issue=self._issue_tracker.issue, )) self.assertIsNotNone(self._pinpoint.new_job_request) self.assertEqual(self._pinpoint.new_job_request['bug_id'], 12345) self.assertEqual(group.get().status, alert_group.AlertGroup.Status.bisected) # Check that we bisected the anomaly that is not ignored. ignored_anomaly = anomalies[0].get() bisected_anomaly = anomalies[1].get() self.assertNotEqual(ignored_anomaly.pinpoint_bisects, ['123456']) self.assertEqual(bisected_anomaly.pinpoint_bisects, ['123456']) def testBisect_GroupTriaged_AlertWithBug(self): anomalies = [ self._AddAnomaly(median_before_anomaly=0.2), self._AddAnomaly( median_before_anomaly=0.1, bug_id=12340, project_id='v8', ), ] group = self._AddAlertGroup( anomalies[0], issue=self._issue_tracker.issue, status=alert_group.AlertGroup.Status.triaged, ) self._issue_tracker.issue.update({ 'state': 'open', }) self._sheriff_config.patterns = { '*': [ subscription.Subscription( name='sheriff', auto_triage_enable=True, auto_bisect_enable=True) ], } w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, pinpoint=self._pinpoint, crrev=self._crrev, ) self._UpdateTwice( workflow=w, update=alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow(), anomalies=ndb.get_multi(anomalies), issue=self._issue_tracker.issue, )) self.assertEqual(self._issue_tracker.bug_id, self._pinpoint.new_job_request['bug_id']) self.assertEqual('chromium', self._pinpoint.new_job_request['project']) self.assertEqual(['123456'], group.get().bisection_ids) def testBisect_GroupTriaged_MultiBot(self): anomalies = [ self._AddAnomaly( test='master/bot1/test_suite/measurement/test_case1', median_before_anomaly=0.3, ), self._AddAnomaly( test='master/bot1/test_suite/measurement/test_case2', median_before_anomaly=0.2, ), self._AddAnomaly( test='master/bot2/test_suite/measurement/test_case2', median_before_anomaly=0.1, ), ] group = self._AddAlertGroup( anomalies[0], issue=self._issue_tracker.issue, status=alert_group.AlertGroup.Status.triaged, ) self._issue_tracker.issue.update({ 'state': 'open', }) self._sheriff_config.patterns = { '*': [ subscription.Subscription( name='sheriff', auto_triage_enable=True, auto_bisect_enable=True) ], } w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, pinpoint=self._pinpoint, crrev=self._crrev, ) self._UpdateTwice( workflow=w, update=alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow(), anomalies=ndb.get_multi(anomalies), issue=self._issue_tracker.issue, )) self.assertEqual( anomalies[1].urlsafe(), json.loads(self._pinpoint.new_job_request['tags'])['alert']) self.assertEqual(['123456'], group.get().bisection_ids) def testBisect_GroupTriaged_MultiBot_PartInf(self): anomalies = [ self._AddAnomaly( test='master/bot1/test_suite/measurement/test_case1', median_before_anomaly=0.0, ), self._AddAnomaly( test='master/bot1/test_suite/measurement/test_case2', median_before_anomaly=0.2, ), self._AddAnomaly( test='master/bot2/test_suite/measurement/test_case2', median_before_anomaly=0.1, ), ] group = self._AddAlertGroup( anomalies[0], issue=self._issue_tracker.issue, status=alert_group.AlertGroup.Status.triaged, ) self._issue_tracker.issue.update({ 'state': 'open', }) self._sheriff_config.patterns = { '*': [ subscription.Subscription( name='sheriff', auto_triage_enable=True, auto_bisect_enable=True) ], } w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, pinpoint=self._pinpoint, crrev=self._crrev, ) self._UpdateTwice( workflow=w, update=alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow(), anomalies=ndb.get_multi(anomalies), issue=self._issue_tracker.issue, )) self.assertEqual( anomalies[1].urlsafe(), json.loads(self._pinpoint.new_job_request['tags'])['alert']) self.assertEqual(['123456'], group.get().bisection_ids) def testBisect_GroupTriaged_MultiBot_AllInf(self): anomalies = [ self._AddAnomaly( test='master/bot1/test_suite/measurement/test_case1', median_before_anomaly=0.0, median_after_anomaly=1.0, ), self._AddAnomaly( test='master/bot1/test_suite/measurement/test_case2', median_before_anomaly=0.0, median_after_anomaly=2.0, ), self._AddAnomaly( test='master/bot2/test_suite/measurement/test_case2', median_before_anomaly=0.1, ), ] group = self._AddAlertGroup( anomalies[0], issue=self._issue_tracker.issue, status=alert_group.AlertGroup.Status.triaged, ) self._issue_tracker.issue.update({ 'state': 'open', }) self._sheriff_config.patterns = { '*': [ subscription.Subscription( name='sheriff', auto_triage_enable=True, auto_bisect_enable=True) ], } w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, pinpoint=self._pinpoint, crrev=self._crrev, ) self._UpdateTwice( workflow=w, update=alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow(), anomalies=ndb.get_multi(anomalies), issue=self._issue_tracker.issue, )) self.assertEqual( anomalies[1].urlsafe(), json.loads(self._pinpoint.new_job_request['tags'])['alert']) self.assertEqual(['123456'], group.get().bisection_ids) def testBisect_GroupTriaged_AlertBisected(self): anomalies = [ self._AddAnomaly( test='master/bot1/test_suite/measurement/test_case1', pinpoint_bisects=['abcdefg'], median_before_anomaly=0.2, ), self._AddAnomaly( test='master/bot1/test_suite/measurement/test_case2', pinpoint_bisects=['abcdef'], median_before_anomaly=0.1, ), ] group = self._AddAlertGroup( anomalies[0], issue=self._issue_tracker.issue, status=alert_group.AlertGroup.Status.triaged, bisection_ids=['abcdef'], ) self._issue_tracker.issue.update({ 'state': 'open', }) self._sheriff_config.patterns = { '*': [ subscription.Subscription( name='sheriff', auto_triage_enable=True, auto_bisect_enable=True) ], } w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, pinpoint=self._pinpoint, crrev=self._crrev, ) self._UpdateTwice( workflow=w, update=alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow(), anomalies=ndb.get_multi(anomalies), issue=self._issue_tracker.issue, )) self.assertEqual( anomalies[0].urlsafe(), json.loads(self._pinpoint.new_job_request['tags'])['alert']) self.assertItemsEqual(['abcdef', '123456'], group.get().bisection_ids) def testBisect_GroupTriaged_CrrevFailed(self): anomalies = [self._AddAnomaly(), self._AddAnomaly()] group = self._AddAlertGroup( anomalies[0], issue=self._issue_tracker.issue, status=alert_group.AlertGroup.Status.triaged, ) self._issue_tracker.issue.update({ 'state': 'open', }) self._crrev.SetFailure() self._sheriff_config.patterns = { '*': [ subscription.Subscription( name='sheriff', auto_triage_enable=True, auto_bisect_enable=True) ], } w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, pinpoint=self._pinpoint, crrev=self._crrev, ) self._UpdateTwice( workflow=w, update=alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow(), anomalies=ndb.get_multi(anomalies), issue=self._issue_tracker.issue, )) self.assertEqual(alert_group.AlertGroup.Status.bisected, group.get().status) self.assertEqual([], group.get().bisection_ids) self.assertEqual(['Chromeperf-Auto-NeedsAttention'], self._issue_tracker.add_comment_kwargs['labels']) def testBisect_GroupTriaged_PinpointFailed(self): anomalies = [self._AddAnomaly(), self._AddAnomaly()] group = self._AddAlertGroup( anomalies[0], issue=self._issue_tracker.issue, status=alert_group.AlertGroup.Status.triaged, ) self._issue_tracker.issue.update({ 'state': 'open', }) self._pinpoint.SetFailure() self._sheriff_config.patterns = { '*': [ subscription.Subscription( name='sheriff', auto_triage_enable=True, auto_bisect_enable=True) ], } w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, pinpoint=self._pinpoint, crrev=self._crrev, ) self._UpdateTwice( workflow=w, update=alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow(), anomalies=ndb.get_multi(anomalies), issue=self._issue_tracker.issue, )) self.assertEqual(alert_group.AlertGroup.Status.bisected, group.get().status) self.assertEqual([], group.get().bisection_ids) self.assertEqual(['Chromeperf-Auto-NeedsAttention'], self._issue_tracker.add_comment_kwargs['labels']) def testBisect_SingleCL(self): anomalies = [ self._AddAnomaly( # Current implementation requires that a revision string is between # 5 and 7 digits long. start_revision=11111, end_revision=11111, test='ChromiumPerf/some-bot/some-benchmark/some-metric/some-story') ] group = self._AddAlertGroup( anomalies[0], issue=self._issue_tracker.issue, status=alert_group.AlertGroup.Status.triaged) self._sheriff_config.patterns = { '*': [ subscription.Subscription( name='sheriff', auto_triage_enable=True, auto_bisect_enable=True) ] } # Here we are simulating that a gitiles service will respond to a specific # repository URL (the format is not important) and can map a commit (40 # hexadecimal characters) to some commit information. self._gitiles._repo_commit_list.update({ 'git://chromium': { 'aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa': { 'author': { 'email': 'author@chromium.org', }, 'message': 'This is some commit.\n\nWith some details.', } } }) # We are also seeding some repository information to let us set which # repository URL is being used to look up data from a gitiles service. namespaced_stored_object.Set('repositories', { 'chromium': { 'repository_url': 'git://chromium' }, }) # Current implementation requires that a git hash is 40 characters of # hexadecimal digits. self._crrev.SetSuccess('aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa') w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, pinpoint=self._pinpoint, crrev=self._crrev, gitiles=self._gitiles) self._UpdateTwice( workflow=w, update=alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow(), anomalies=ndb.get_multi(anomalies), issue=self._issue_tracker.issue)) self.assertEqual(alert_group.AlertGroup.Status.bisected, group.get().status) self.assertEqual([], group.get().bisection_ids) self.assertEqual(['Chromeperf-Auto-Assigned'], self._issue_tracker.add_comment_kwargs['labels']) self.assertIn(('Assigning to author@chromium.org because this is the ' 'only CL in range:'), self._issue_tracker.add_comment_args[1]) def testBisect_ExplicitOptOut(self): anomalies = [self._AddAnomaly(), self._AddAnomaly()] group = self._AddAlertGroup( anomalies[0], issue=self._issue_tracker.issue, status=alert_group.AlertGroup.Status.triaged, ) self._issue_tracker.issue.update({ 'state': 'open', 'labels': self._issue_tracker.issue.get('labels') + ['Chromeperf-Auto-BisectOptOut'] }) self._sheriff_config.patterns = { '*': [ subscription.Subscription( name='sheriff', auto_triage_enable=True, auto_bisect_enable=True) ], } w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, pinpoint=self._pinpoint, crrev=self._crrev, ) self.assertIn('Chromeperf-Auto-BisectOptOut', self._issue_tracker.issue.get('labels')) self._UpdateTwice( workflow=w, update=alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow(), anomalies=ndb.get_multi(anomalies), issue=self._issue_tracker.issue, )) self.assertIsNone(self._pinpoint.new_job_request) def testAutoMerge_SucessfulMerge(self): self._sheriff_config.patterns = { '*': [ subscription.Subscription( name='sheriff', auto_triage_enable=True, auto_merge_enable=True) ], } self._issue_tracker._bug_id_counter = 42 duplicate_issue = self._issue_tracker.GetIssue( self._issue_tracker.NewBug(status='Duplicate', state='closed')['bug_id']) canonical_issue = self._issue_tracker.GetIssue( self._issue_tracker.NewBug()['bug_id']) grouped_anomalies = [self._AddAnomaly(), self._AddAnomaly()] all_anomalies = grouped_anomalies + [self._AddAnomaly()] group = self._AddAlertGroup( grouped_anomalies[0], issue=duplicate_issue, anomalies=grouped_anomalies, status=alert_group.AlertGroup.Status.triaged, ) canonical_group = self._AddAlertGroup( grouped_anomalies[0], issue=canonical_issue, status=alert_group.AlertGroup.Status.triaged, ) w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, config=alert_group_workflow.AlertGroupWorkflow.Config( active_window=datetime.timedelta(days=7), triage_delay=datetime.timedelta(hours=0), ), ) u = alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow(), anomalies=ndb.get_multi(all_anomalies), issue=duplicate_issue, canonical_group=canonical_group.get(), ) w.Process(update=u) # First two are NewBug calls in the test itself. self.assertEqual(len(self._issue_tracker.calls), 4) self.assertEqual(self._issue_tracker.calls[2]['method'], 'AddBugComment') self.assertEqual(len(self._issue_tracker.calls[2]['args']), 2) self.assertEqual(self._issue_tracker.calls[2]['args'][0], 42) self.assertIn( '(%s) was automatically merged into %s' % (group.string_id(), canonical_group.string_id()), self._issue_tracker.calls[2]['args'][1]) self.assertEqual(self._issue_tracker.calls[2]['kwargs'], { 'project': 'chromium', 'send_email': False }) self.assertEqual( self._issue_tracker.calls[3], { 'method': 'AddBugComment', 'args': (42, None), 'kwargs': { 'summary': '[%s]: %d regressions in %s' % ('sheriff', 3, 'test_suite'), 'labels': [ 'Type-Bug-Regression', 'Chromeperf-Auto-Triaged', 'Restrict-View-Google', 'Pri-2' ], 'cc_list': [], 'components': ['Foo>Bar'], 'project': 'chromium', 'send_email': False }, }) self.assertTrue(all(a.get().bug_id == 43 for a in all_anomalies)) self.assertEqual(group.get().canonical_group, canonical_group) self.assertEqual(group.get().status, alert_group.AlertGroup.Status.closed) def testAutoMerge_AutoMergeNotOptIn(self): self._sheriff_config.patterns = { '*': [ subscription.Subscription(name='sheriff', auto_triage_enable=True) ], } self._issue_tracker._bug_id_counter = 42 duplicate_issue = self._issue_tracker.GetIssue( self._issue_tracker.NewBug(status='Duplicate', state='closed')['bug_id']) canonical_issue = self._issue_tracker.GetIssue( self._issue_tracker.NewBug()['bug_id']) grouped_anomalies = [self._AddAnomaly(), self._AddAnomaly()] all_anomalies = grouped_anomalies + [self._AddAnomaly()] group = self._AddAlertGroup( grouped_anomalies[0], issue=duplicate_issue, anomalies=grouped_anomalies, status=alert_group.AlertGroup.Status.triaged, ) canonical_group = self._AddAlertGroup( grouped_anomalies[0], issue=canonical_issue, status=alert_group.AlertGroup.Status.triaged, ) w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, config=alert_group_workflow.AlertGroupWorkflow.Config( active_window=datetime.timedelta(days=7), triage_delay=datetime.timedelta(hours=0), ), ) u = alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow(), anomalies=ndb.get_multi(all_anomalies), issue=duplicate_issue, canonical_group=canonical_group.get(), ) self._UpdateTwice(workflow=w, update=u) # First two are NewBug calls in the test itself. self.assertEqual(len(self._issue_tracker.calls), 3) self.assertEqual(self._issue_tracker.calls[2]['method'], 'AddBugComment') self.assertEqual(len(self._issue_tracker.calls[2]['args']), 2) self.assertEqual(self._issue_tracker.calls[2]['args'][0], 42) self.assertNotIn('was automatically merged into', self._issue_tracker.calls[2]['args'][1]) self.assertIn('Alert group updated:', self._issue_tracker.calls[2]['args'][1]) self.assertEqual( self._issue_tracker.calls[2]['kwargs'], { 'summary': '[%s]: %d regressions in %s' % ('sheriff', 3, 'test_suite'), 'labels': [ 'Type-Bug-Regression', 'Chromeperf-Auto-Triaged', 'Restrict-View-Google', 'Pri-2' ], 'cc_list': [], 'components': ['Foo>Bar'], 'project': 'chromium', 'send_email': False }) self.assertTrue(all(a.get().bug_id == 42 for a in all_anomalies)) self.assertIsNone(group.get().canonical_group) self.assertEqual(group.get().status, alert_group.AlertGroup.Status.closed) def testAutoMerge_NoCanonicalIssue(self): self._sheriff_config.patterns = { '*': [ subscription.Subscription( name='sheriff', auto_triage_enable=True, auto_merge_enable=True) ], } self._issue_tracker._bug_id_counter = 42 issue = self._issue_tracker.GetIssue(self._issue_tracker.NewBug()['bug_id']) grouped_anomalies = [self._AddAnomaly(), self._AddAnomaly()] all_anomalies = grouped_anomalies + [self._AddAnomaly()] group = self._AddAlertGroup( grouped_anomalies[0], issue=issue, anomalies=grouped_anomalies, status=alert_group.AlertGroup.Status.triaged, ) w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, config=alert_group_workflow.AlertGroupWorkflow.Config( active_window=datetime.timedelta(days=7), triage_delay=datetime.timedelta(hours=0), ), ) u = alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow(), anomalies=ndb.get_multi(all_anomalies), issue=issue, ) self._UpdateTwice(workflow=w, update=u) # First one is NewBug call in the test itself. self.assertEqual(len(self._issue_tracker.calls), 2) self.assertEqual(self._issue_tracker.calls[1]['method'], 'AddBugComment') self.assertEqual(len(self._issue_tracker.calls[1]['args']), 2) self.assertEqual(self._issue_tracker.calls[1]['args'][0], 42) self.assertNotIn('was automatically merged into', self._issue_tracker.calls[1]['args'][1]) self.assertIn('Alert group updated:', self._issue_tracker.calls[1]['args'][1]) self.assertEqual( self._issue_tracker.calls[1]['kwargs'], { 'summary': '[%s]: %d regressions in %s' % ('sheriff', 3, 'test_suite'), 'labels': [ 'Type-Bug-Regression', 'Chromeperf-Auto-Triaged', 'Restrict-View-Google', 'Pri-2' ], 'cc_list': [], 'components': ['Foo>Bar'], 'project': 'chromium', 'send_email': False }) self.assertTrue(all(a.get().bug_id == 42 for a in all_anomalies)) self.assertIsNone(group.get().canonical_group) self.assertEqual(group.get().status, alert_group.AlertGroup.Status.triaged) def testAutoMerge_SucessfulMerge_AutoMergeForOneAnomaly(self): self._sheriff_config.patterns = { '*auto_merge*': [ subscription.Subscription( name='sheriff', auto_triage_enable=True, auto_merge_enable=True) ], '*regular*': [ subscription.Subscription(name='sheriff', auto_triage_enable=True) ], } self._issue_tracker._bug_id_counter = 42 duplicate_issue = self._issue_tracker.GetIssue( self._issue_tracker.NewBug(status='Duplicate', state='closed')['bug_id']) canonical_issue = self._issue_tracker.GetIssue( self._issue_tracker.NewBug()['bug_id']) grouped_anomalies = [ self._AddAnomaly(test='master/bot/regular_suite/measurement'), self._AddAnomaly(test='master/bot/auto_merge_suite/measurement') ] all_anomalies = grouped_anomalies + [ self._AddAnomaly(test='master/bot/regular_suite/measurement'), ] group = self._AddAlertGroup( grouped_anomalies[0], issue=duplicate_issue, anomalies=grouped_anomalies, status=alert_group.AlertGroup.Status.triaged, ) canonical_group = self._AddAlertGroup( grouped_anomalies[0], issue=canonical_issue, status=alert_group.AlertGroup.Status.triaged, ) w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, config=alert_group_workflow.AlertGroupWorkflow.Config( active_window=datetime.timedelta(days=7), triage_delay=datetime.timedelta(hours=0), ), ) u = alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow(), anomalies=ndb.get_multi(all_anomalies), issue=duplicate_issue, canonical_group=canonical_group.get(), ) w.Process(update=u) # First two are NewBug calls in the test itself. self.assertEqual(len(self._issue_tracker.calls), 4) self.assertEqual(self._issue_tracker.calls[2]['method'], 'AddBugComment') self.assertEqual(len(self._issue_tracker.calls[2]['args']), 2) self.assertEqual(self._issue_tracker.calls[2]['args'][0], 42) self.assertIn( '(%s) was automatically merged into %s' % (group.string_id(), canonical_group.string_id()), self._issue_tracker.calls[2]['args'][1]) self.assertEqual(self._issue_tracker.calls[2]['kwargs'], { 'project': 'chromium', 'send_email': False }) self.assertEqual( self._issue_tracker.calls[3], { 'method': 'AddBugComment', 'args': (42, None), 'kwargs': { 'summary': '[%s]: %d regressions in %s' % ('sheriff', 3, 'regular_suite'), 'labels': [ 'Type-Bug-Regression', 'Chromeperf-Auto-Triaged', 'Restrict-View-Google', 'Pri-2' ], 'cc_list': [], 'components': ['Foo>Bar'], 'project': 'chromium', 'send_email': False }, }) self.assertEqual(all_anomalies[0].get().bug_id, 42) self.assertEqual(all_anomalies[1].get().bug_id, 43) self.assertEqual(all_anomalies[2].get().bug_id, 42) self.assertEqual(group.get().canonical_group, canonical_group) self.assertEqual(group.get().status, alert_group.AlertGroup.Status.closed) def testAutoMerge_SucessfulMerge_NoNewAnomalies(self): self._sheriff_config.patterns = { '*': [ subscription.Subscription( name='sheriff', auto_triage_enable=True, auto_merge_enable=True) ], } self._issue_tracker._bug_id_counter = 42 duplicate_issue = self._issue_tracker.GetIssue( self._issue_tracker.NewBug(status='Duplicate', state='closed')['bug_id']) canonical_issue = self._issue_tracker.GetIssue( self._issue_tracker.NewBug()['bug_id']) grouped_anomalies = [self._AddAnomaly(), self._AddAnomaly()] group = self._AddAlertGroup( grouped_anomalies[0], issue=duplicate_issue, anomalies=grouped_anomalies, status=alert_group.AlertGroup.Status.triaged, ) canonical_group = self._AddAlertGroup( grouped_anomalies[0], issue=canonical_issue, status=alert_group.AlertGroup.Status.triaged, ) w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, config=alert_group_workflow.AlertGroupWorkflow.Config( active_window=datetime.timedelta(days=7), triage_delay=datetime.timedelta(hours=0), ), ) u = alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow(), anomalies=ndb.get_multi(grouped_anomalies), issue=duplicate_issue, canonical_group=canonical_group.get(), ) w.Process(update=u) # First two are NewBug calls in the test itself. self.assertEqual(len(self._issue_tracker.calls), 3) self.assertEqual(self._issue_tracker.calls[2]['method'], 'AddBugComment') self.assertEqual(len(self._issue_tracker.calls[2]['args']), 2) self.assertEqual(self._issue_tracker.calls[2]['args'][0], 42) self.assertIn( '(%s) was automatically merged into %s' % (group.string_id(), canonical_group.string_id()), self._issue_tracker.calls[2]['args'][1]) self.assertEqual(self._issue_tracker.calls[2]['kwargs'], { 'project': 'chromium', 'send_email': False }) self.assertTrue(all(a.get().bug_id == 43 for a in grouped_anomalies)) self.assertEqual(group.get().canonical_group, canonical_group) self.assertEqual(group.get().status, alert_group.AlertGroup.Status.closed) def testAutoMerge_SeparatingGroups(self): self._sheriff_config.patterns = { '*': [ subscription.Subscription( name='sheriff', auto_triage_enable=True, auto_merge_enable=True) ], } self._issue_tracker._bug_id_counter = 42 duplicate_issue = self._issue_tracker.GetIssue( self._issue_tracker.NewBug()['bug_id']) grouped_anomalies = [self._AddAnomaly(), self._AddAnomaly()] all_anomalies = grouped_anomalies + [self._AddAnomaly()] canonical_group = self._AddAlertGroup( grouped_anomalies[0], status=alert_group.AlertGroup.Status.triaged, ) group = self._AddAlertGroup( grouped_anomalies[0], issue=duplicate_issue, anomalies=grouped_anomalies, status=alert_group.AlertGroup.Status.closed, canonical_group=canonical_group) w = alert_group_workflow.AlertGroupWorkflow( group.get(), sheriff_config=self._sheriff_config, issue_tracker=self._issue_tracker, config=alert_group_workflow.AlertGroupWorkflow.Config( active_window=datetime.timedelta(days=7), triage_delay=datetime.timedelta(hours=0), ), ) u = alert_group_workflow.AlertGroupWorkflow.GroupUpdate( now=datetime.datetime.utcnow(), anomalies=ndb.get_multi(all_anomalies), issue=duplicate_issue, canonical_group=None, ) w.Process(update=u) # First one is NewBug calls in the test itself. self.assertEqual(len(self._issue_tracker.calls), 2) self.assertEqual(self._issue_tracker.calls[1]['method'], 'AddBugComment') self.assertEqual(len(self._issue_tracker.calls[1]['args']), 2) self.assertEqual(self._issue_tracker.calls[1]['args'][0], 42) self.assertIn('Alert group updated:', self._issue_tracker.calls[1]['args'][1]) self.assertIsNone(group.get().canonical_group) self.assertEqual(group.get().status, alert_group.AlertGroup.Status.triaged) def testPrepareGroupUpdate_DuplicateGroupFound(self): base_anomaly = self._AddAnomaly() self._issue_tracker._bug_id_counter = 42 canonical_issue = self._issue_tracker.GetIssue( self._issue_tracker.NewBug()['bug_id']) canonical_group = self._AddAlertGroup( base_anomaly, issue=canonical_issue, status=alert_group.AlertGroup.Status.triaged, ) canonical_anomalies = [ self._AddAnomaly(groups=[canonical_group]), self._AddAnomaly(groups=[canonical_group]) ] duplicate_issue = self._issue_tracker.GetIssue( self._issue_tracker.NewBug(status='Duplicate', state='closed')['bug_id']) duplicate_group = self._AddAlertGroup( base_anomaly, issue=duplicate_issue, status=alert_group.AlertGroup.Status.triaged, canonical_group=canonical_group, ) duplicate_anomalies = [ self._AddAnomaly(groups=[duplicate_group]), self._AddAnomaly(groups=[duplicate_group]) ] w = alert_group_workflow.AlertGroupWorkflow( canonical_group.get(), issue_tracker=self._issue_tracker, config=alert_group_workflow.AlertGroupWorkflow.Config( active_window=datetime.timedelta(days=7), triage_delay=datetime.timedelta(hours=0), ), ) update = w._PrepareGroupUpdate() self.assertEqual( update.anomalies, [a.get() for a in canonical_anomalies + duplicate_anomalies]) self.assertIsNotNone(update.issue) self.assertIsNone(update.canonical_group) def testPrepareGroupUpdate_CanonicalGroupFound(self): base_anomaly = self._AddAnomaly() self._issue_tracker._bug_id_counter = 42 duplicate_issue = self._issue_tracker.GetIssue( self._issue_tracker.NewBug(status='Duplicate', state='closed')['bug_id']) duplicate_group = self._AddAlertGroup( base_anomaly, issue=duplicate_issue, status=alert_group.AlertGroup.Status.triaged, ) anomalies = [ self._AddAnomaly(groups=[duplicate_group]), self._AddAnomaly(groups=[duplicate_group]) ] canonical_issue = self._issue_tracker.GetIssue( self._issue_tracker.NewBug()['bug_id']) canonical_group = self._AddAlertGroup( base_anomaly, issue=canonical_issue, status=alert_group.AlertGroup.Status.triaged, ) self._issue_tracker.issue_comments.update({ ('chromium', duplicate_issue['id']): [ { 'id': 2, 'updates': { 'status': 'Duplicate', # According to Monorail API documentation, mergedInto # has string type. 'mergedInto': str(canonical_issue['id']) }, }, { 'id': 1, 'updates': { 'status': 'WontFix' }, } ] }) w = alert_group_workflow.AlertGroupWorkflow( duplicate_group.get(), issue_tracker=self._issue_tracker, config=alert_group_workflow.AlertGroupWorkflow.Config( active_window=datetime.timedelta(days=7), triage_delay=datetime.timedelta(hours=0), ), ) update = w._PrepareGroupUpdate() self.assertEqual(update.anomalies, [a.get() for a in anomalies]) self.assertIsNotNone(update.issue) self.assertEqual(update.canonical_group, canonical_group.get()) def testPrepareGroupUpdate_CanonicalGroupLoop(self): base_anomaly = self._AddAnomaly() self._issue_tracker._bug_id_counter = 42 duplicate_issue = self._issue_tracker.GetIssue( self._issue_tracker.NewBug(status='Duplicate', state='closed')['bug_id']) duplicate_group = self._AddAlertGroup( base_anomaly, issue=duplicate_issue, status=alert_group.AlertGroup.Status.triaged, ) looped_issue = self._issue_tracker.GetIssue( self._issue_tracker.NewBug()['bug_id']) looped_group = self._AddAlertGroup( base_anomaly, issue=looped_issue, status=alert_group.AlertGroup.Status.triaged, canonical_group=duplicate_group, ) canonical_issue = self._issue_tracker.GetIssue( self._issue_tracker.NewBug()['bug_id']) self._AddAlertGroup( base_anomaly, issue=canonical_issue, status=alert_group.AlertGroup.Status.triaged, canonical_group=looped_group, ) self._issue_tracker.issue_comments.update({ ('chromium', duplicate_issue['id']): [{ 'id': 2, 'updates': { 'status': 'Duplicate', # According to Monorail API documentation, mergedInto # has string type. 'mergedInto': str(canonical_issue['id']) }, }] }) w = alert_group_workflow.AlertGroupWorkflow( duplicate_group.get(), issue_tracker=self._issue_tracker, config=alert_group_workflow.AlertGroupWorkflow.Config( active_window=datetime.timedelta(days=7), triage_delay=datetime.timedelta(hours=0), ), ) update = w._PrepareGroupUpdate() self.assertIsNone(update.canonical_group)

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6abc784b678877e65c72b6b4b691f8fb993e0ae2

62,125

py

Python

entsoe/entsoe.py

lpirl/entsoe-py

edc9f08e8ce1622023498696435765a0b47d6964

[ "MIT" ]

null

entsoe/entsoe.py

lpirl/entsoe-py

edc9f08e8ce1622023498696435765a0b47d6964

[ "MIT" ]

null

entsoe/entsoe.py

lpirl/entsoe-py

edc9f08e8ce1622023498696435765a0b47d6964

[ "MIT" ]

null

import logging from typing import Union, Optional, Dict import pandas as pd from pandas.tseries.offsets import YearBegin, YearEnd import pytz import requests from bs4 import BeautifulSoup from entsoe.exceptions import InvalidPSRTypeError, InvalidBusinessParameterError from .exceptions import NoMatchingDataError, PaginationError from .mappings import Area, NEIGHBOURS, lookup_area from .parsers import parse_prices, parse_loads, parse_generation, \ parse_installed_capacity_per_plant, parse_crossborder_flows, \ parse_unavailabilities, parse_contracted_reserve, parse_imbalance_prices_zip, \ parse_imbalance_volumes_zip, parse_netpositions, parse_procured_balancing_capacity from .decorators import retry, paginated, year_limited, day_limited, documents_limited __title__ = "entsoe-py" __version__ = "0.4.4" __author__ = "EnergieID.be" __license__ = "MIT" URL = 'https://transparency.entsoe.eu/api' class EntsoeRawClient: # noinspection LongLine """ Client to perform API calls and return the raw responses API-documentation: https://transparency.entsoe.eu/content/static_content/Static%20content/web%20api/Guide.html#_request_methods Attributions: Parts of the code for parsing Entsoe responses were copied from https://github.com/tmrowco/electricitymap """ def __init__( self, api_key: str, session: Optional[requests.Session] = None, retry_count: int = 1, retry_delay: int = 0, proxies: Optional[Dict] = None, timeout: Optional[int] = None): """ Parameters ---------- api_key : str session : requests.Session retry_count : int number of times to retry the call if the connection fails retry_delay: int amount of seconds to wait between retries proxies : dict requests proxies timeout : int """ if api_key is None: raise TypeError("API key cannot be None") self.api_key = api_key if session is None: session = requests.Session() self.session = session self.proxies = proxies self.retry_count = retry_count self.retry_delay = retry_delay self.timeout = timeout @retry def _base_request(self, params: Dict, start: pd.Timestamp, end: pd.Timestamp) -> requests.Response: """ Parameters ---------- params : dict start : pd.Timestamp end : pd.Timestamp Returns ------- requests.Response """ start_str = self._datetime_to_str(start) end_str = self._datetime_to_str(end) base_params = { 'securityToken': self.api_key, 'periodStart': start_str, 'periodEnd': end_str } params.update(base_params) logging.debug(f'Performing request to {URL} with params {params}') response = self.session.get(url=URL, params=params, proxies=self.proxies, timeout=self.timeout) try: response.raise_for_status() except requests.HTTPError as e: soup = BeautifulSoup(response.text, 'html.parser') text = soup.find_all('text') if len(text): error_text = soup.find('text').text if 'No matching data found' in error_text: raise NoMatchingDataError elif "check you request against dependency tables" in error_text: raise InvalidBusinessParameterError elif "is not valid for this area" in error_text: raise InvalidPSRTypeError elif 'amount of requested data exceeds allowed limit' in error_text: requested = error_text.split(' ')[-2] allowed = error_text.split(' ')[-5] raise PaginationError( f"The API is limited to {allowed} elements per " f"request. This query requested for {requested} " f"documents and cannot be fulfilled as is.") elif 'requested data to be gathered via the offset parameter exceeds the allowed limit' in error_text: requested = error_text.split(' ')[-9] allowed = error_text.split(' ')[-30][:-2] raise PaginationError( f"The API is limited to {allowed} elements per " f"request. This query requested for {requested} " f"documents and cannot be fulfilled as is.") raise e else: # ENTSO-E has changed their server to also respond with 200 if there is no data but all parameters are valid # this means we need to check the contents for this error even when status code 200 is returned # to prevent parsing the full response do a text matching instead of full parsing # also only do this when response type content is text and not for example a zip file if response.headers.get('content-type', '') == 'application/xml': if 'No matching data found' in response.text: raise NoMatchingDataError return response @staticmethod def _datetime_to_str(dtm: pd.Timestamp) -> str: """ Convert a datetime object to a string in UTC of the form YYYYMMDDhh00 Parameters ---------- dtm : pd.Timestamp Recommended to use a timezone-aware object! If timezone-naive, UTC is assumed Returns ------- str """ if dtm.tzinfo is not None and dtm.tzinfo != pytz.UTC: dtm = dtm.tz_convert("UTC") fmt = '%Y%m%d%H00' ret_str = dtm.strftime(fmt) return ret_str def query_day_ahead_prices(self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp) -> str: """ Parameters ---------- country_code : Area|str start : pd.Timestamp end : pd.Timestamp Returns ------- str """ area = lookup_area(country_code) params = { 'documentType': 'A44', 'in_Domain': area.code, 'out_Domain': area.code } response = self._base_request(params=params, start=start, end=end) return response.text def query_net_position_dayahead(self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp) -> str: """ Parameters ---------- country_code : Area|str start : pd.Timestamp end : pd.Timestamp Returns ------- str """ area = lookup_area(country_code) params = { 'documentType': 'A25', # Allocation result document 'businessType': 'B09', # net position 'Contract_MarketAgreement.Type': 'A01', # daily 'in_Domain': area.code, 'out_Domain': area.code } response = self._base_request(params=params, start=start, end=end) return response.text def query_load(self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp) -> str: """ Parameters ---------- country_code : Area|str start : pd.Timestamp end : pd.Timestamp Returns ------- str """ area = lookup_area(country_code) params = { 'documentType': 'A65', 'processType': 'A16', 'outBiddingZone_Domain': area.code, 'out_Domain': area.code } response = self._base_request(params=params, start=start, end=end) return response.text def query_load_forecast( self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, process_type: str = 'A01') -> str: """ Parameters ---------- country_code : Area|str start : pd.Timestamp end : pd.Timestamp process_type : str Returns ------- str """ area = lookup_area(country_code) params = { 'documentType': 'A65', 'processType': process_type, 'outBiddingZone_Domain': area.code, # 'out_Domain': domain } response = self._base_request(params=params, start=start, end=end) return response.text def query_generation_forecast( self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, process_type: str = 'A01') -> str: """ Parameters ---------- country_code : Area|str start : pd.Timestamp end : pd.Timestamp process_type : str Returns ------- str """ area = lookup_area(country_code) params = { 'documentType': 'A71', 'processType': process_type, 'in_Domain': area.code, } response = self._base_request(params=params, start=start, end=end) return response.text def query_wind_and_solar_forecast( self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, psr_type: Optional[str] = None, process_type: str = 'A01', **kwargs) -> str: """ Parameters ---------- country_code : Area|str start : pd.Timestamp end : pd.Timestamp psr_type : str filter on a single psr type process_type : str Returns ------- str """ area = lookup_area(country_code) params = { 'documentType': 'A69', 'processType': process_type, 'in_Domain': area.code, } if psr_type: params.update({'psrType': psr_type}) response = self._base_request(params=params, start=start, end=end) return response.text def query_generation( self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, psr_type: Optional[str] = None, **kwargs) -> str: """ Parameters ---------- country_code : Area|str start : pd.Timestamp end : pd.Timestamp psr_type : str filter on a single psr type Returns ------- str """ area = lookup_area(country_code) params = { 'documentType': 'A75', 'processType': 'A16', 'in_Domain': area.code, } if psr_type: params.update({'psrType': psr_type}) response = self._base_request(params=params, start=start, end=end) return response.text def query_generation_per_plant( self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, psr_type: Optional[str] = None, **kwargs) -> str: """ Parameters ---------- country_code : Area|str start : pd.Timestamp end : pd.Timestamp psr_type : str filter on a single psr type Returns ------- str """ area = lookup_area(country_code) params = { 'documentType': 'A73', 'processType': 'A16', 'in_Domain': area.code, } if psr_type: params.update({'psrType': psr_type}) response = self._base_request(params=params, start=start, end=end) return response.text def query_installed_generation_capacity( self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, psr_type: Optional[str] = None) -> str: """ Parameters ---------- country_code : Area|str start : pd.Timestamp end : pd.Timestamp psr_type : str filter query for a specific psr type Returns ------- str """ area = lookup_area(country_code) params = { 'documentType': 'A68', 'processType': 'A33', 'in_Domain': area.code, } if psr_type: params.update({'psrType': psr_type}) response = self._base_request(params=params, start=start, end=end) return response.text def query_installed_generation_capacity_per_unit( self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, psr_type: Optional[str] = None) -> str: """ Parameters ---------- country_code : Area|str start : pd.Timestamp end : pd.Timestamp psr_type : str filter query for a specific psr type Returns ------- str """ area = lookup_area(country_code) params = { 'documentType': 'A71', 'processType': 'A33', 'in_Domain': area.code, } if psr_type: params.update({'psrType': psr_type}) response = self._base_request(params=params, start=start, end=end) return response.text def query_crossborder_flows( self, country_code_from: Union[Area, str], country_code_to: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, **kwargs) -> str: """ Parameters ---------- country_code_from : Area|str country_code_to : Area|str start : pd.Timestamp end : pd.Timestamp Returns ------- str """ return self._query_crossborder( country_code_from=country_code_from, country_code_to=country_code_to, start=start, end=end, doctype="A11", contract_marketagreement_type=None) def query_scheduled_exchanges( self, country_code_from: Union[Area, str], country_code_to: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, dayahead: bool = False, **kwargs) -> str: """ Parameters ---------- country_code_from : Area|str country_code_to : Area|str dayahead : bool start : pd.Timestamp end : pd.Timestamp Returns ------- str """ if dayahead: contract_marketagreement_type = "A01" else: contract_marketagreement_type = "A05" return self._query_crossborder( country_code_from=country_code_from, country_code_to=country_code_to, start=start, end=end, doctype="A09", contract_marketagreement_type=contract_marketagreement_type) def query_net_transfer_capacity_dayahead( self, country_code_from: Union[Area, str], country_code_to: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp) -> str: """ Parameters ---------- country_code_from : Area|str country_code_to : Area|str start : pd.Timestamp end : pd.Timestamp Returns ------- str """ return self._query_crossborder( country_code_from=country_code_from, country_code_to=country_code_to, start=start, end=end, doctype="A61", contract_marketagreement_type="A01") def query_net_transfer_capacity_weekahead( self, country_code_from: Union[Area, str], country_code_to: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp) -> str: """ Parameters ---------- country_code_from : Area|str country_code_to : Area|str start : pd.Timestamp end : pd.Timestamp Returns ------- str """ return self._query_crossborder( country_code_from=country_code_from, country_code_to=country_code_to, start=start, end=end, doctype="A61", contract_marketagreement_type="A02") def query_net_transfer_capacity_monthahead( self, country_code_from: Union[Area, str], country_code_to: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp) -> str: """ Parameters ---------- country_code_from : Area|str country_code_to : Area|str start : pd.Timestamp end : pd.Timestamp Returns ------- str """ return self._query_crossborder( country_code_from=country_code_from, country_code_to=country_code_to, start=start, end=end, doctype="A61", contract_marketagreement_type="A03") def query_net_transfer_capacity_yearahead( self, country_code_from: Union[Area, str], country_code_to: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp) -> str: """ Parameters ---------- country_code_from : Area|str country_code_to : Area|str start : pd.Timestamp end : pd.Timestamp Returns ------- str """ return self._query_crossborder( country_code_from=country_code_from, country_code_to=country_code_to, start=start, end=end, doctype="A61", contract_marketagreement_type="A04") def query_intraday_offered_capacity( self, country_code_from: Union[Area, str], country_code_to: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, implicit:bool = True,**kwargs) -> str: """ Parameters ---------- country_code_from : Area|str country_code_to : Area|str start : pd.Timestamp end : pd.Timestamp implicit: bool (True = implicit - default for most borders. False = explicit - for instance BE-GB) Returns ------- str """ return self._query_crossborder( country_code_from=country_code_from, country_code_to=country_code_to, start=start, end=end, doctype="A31", contract_marketagreement_type="A07", auction_type=("A01" if implicit==True else "A02")) def _query_crossborder( self, country_code_from: Union[Area, str], country_code_to: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, doctype: str, contract_marketagreement_type: Optional[str] = None, auction_type: Optional[str] = None) -> str: """ Generic function called by query_crossborder_flows, query_scheduled_exchanges, query_net_transfer_capacity_DA/WA/MA/YA and query_. Parameters ---------- country_code_from : Area|str country_code_to : Area|str start : pd.Timestamp end : pd.Timestamp doctype: str contract_marketagreement_type: str Returns ------- str """ area_in = lookup_area(country_code_to) area_out = lookup_area(country_code_from) params = { 'documentType': doctype, 'in_Domain': area_in.code, 'out_Domain': area_out.code } if contract_marketagreement_type is not None: params[ 'contract_MarketAgreement.Type'] = contract_marketagreement_type if auction_type is not None: params[ 'Auction.Type'] = auction_type response = self._base_request(params=params, start=start, end=end) return response.text def query_imbalance_prices( self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, psr_type: Optional[str] = None) -> bytes: """ Parameters ---------- country_code : Area|str start : pd.Timestamp end : pd.Timestamp psr_type : str filter query for a specific psr type Returns ------- bytes """ area = lookup_area(country_code) params = { 'documentType': 'A85', 'controlArea_Domain': area.code, } if psr_type: params.update({'psrType': psr_type}) response = self._base_request(params=params, start=start, end=end) return response.content def query_imbalance_volumes( self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, psr_type: Optional[str] = None) -> bytes: """ Parameters ---------- country_code : Area|str start : pd.Timestamp end : pd.Timestamp psr_type : str filter query for a specific psr type Returns ------- bytes """ area = lookup_area(country_code) params = { 'documentType': 'A86', 'controlArea_Domain': area.code, } if psr_type: params.update({'psrType': psr_type}) response = self._base_request(params=params, start=start, end=end) return response.content def query_procured_balancing_capacity( self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, process_type: str, type_marketagreement_type: Optional[str] = None) -> bytes: """ Activated Balancing Energy [17.1.E] Parameters ---------- country_code : Area|str start : pd.Timestamp end : pd.Timestamp process_type : str A51 ... aFRR; A47 ... mFRR type_marketagreement_type : str type of contract (see mappings.MARKETAGREEMENTTYPE) Returns ------- bytes """ if process_type not in ['A51', 'A47']: raise ValueError('processType allowed values: A51, A47') area = lookup_area(country_code) params = { 'documentType': 'A15', 'area_Domain': area.code, 'processType': process_type } if type_marketagreement_type: params.update({'type_MarketAgreement.Type': type_marketagreement_type}) response = self._base_request(params=params, start=start, end=end) return response.content def query_activated_balancing_energy( self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, business_type: str, psr_type: Optional[str] = None) -> bytes: """ Activated Balancing Energy [17.1.E] Parameters ---------- country_code : Area|str start : pd.Timestamp end : pd.Timestamp business_type : str type of contract (see mappings.BSNTYPE) psr_type : str filter query for a specific psr type Returns ------- bytes """ area = lookup_area(country_code) params = { 'documentType': 'A83', 'controlArea_Domain': area.code, 'businessType': business_type } if psr_type: params.update({'psrType': psr_type}) response = self._base_request(params=params, start=start, end=end) return response.content def query_contracted_reserve_prices( self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, type_marketagreement_type: str, psr_type: Optional[str] = None, offset: int = 0) -> str: """ Parameters ---------- country_code : Area|str start : pd.Timestamp end : pd.Timestamp type_marketagreement_type : str type of contract (see mappings.MARKETAGREEMENTTYPE) psr_type : str filter query for a specific psr type offset : int offset for querying more than 100 documents Returns ------- str """ area = lookup_area(country_code) params = { 'documentType': 'A89', 'controlArea_Domain': area.code, 'type_MarketAgreement.Type': type_marketagreement_type, 'offset': offset } if psr_type: params.update({'psrType': psr_type}) response = self._base_request(params=params, start=start, end=end) return response.text def query_contracted_reserve_amount( self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, type_marketagreement_type: str, psr_type: Optional[str] = None, offset: int = 0) -> str: """ Parameters ---------- country_code : Area|str start : pd.Timestamp end : pd.Timestamp type_marketagreement_type : str type of contract (see mappings.MARKETAGREEMENTTYPE) psr_type : str filter query for a specific psr type offset : int offset for querying more than 100 documents Returns ------- str """ area = lookup_area(country_code) params = { 'documentType': 'A81', 'controlArea_Domain': area.code, 'type_MarketAgreement.Type': type_marketagreement_type, 'offset': offset } if psr_type: params.update({'psrType': psr_type}) response = self._base_request(params=params, start=start, end=end) return response.text def _query_unavailability( self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, doctype: str, docstatus: Optional[str] = None, periodstartupdate: Optional[pd.Timestamp] = None, periodendupdate: Optional[pd.Timestamp] = None, offset: int = 0) -> bytes: """ Generic unavailibility query method. This endpoint serves ZIP files. The query is limited to 200 items per request. Parameters ---------- country_code : Area|str start : pd.Timestamp end : pd.Timestamp doctype : str docstatus : str, optional periodstartupdate : pd.Timestamp, optional periodendupdate : pd.Timestamp, optional offset : int Returns ------- bytes """ area = lookup_area(country_code) params = { 'documentType': doctype, 'biddingZone_domain': area.code, 'offset': offset # ,'businessType': 'A53 (unplanned) | A54 (planned)' } if docstatus: params['docStatus'] = docstatus if periodstartupdate and periodendupdate: params['periodStartUpdate'] = self._datetime_to_str( periodstartupdate) params['periodEndUpdate'] = self._datetime_to_str(periodendupdate) response = self._base_request(params=params, start=start, end=end) return response.content def query_unavailability_of_generation_units( self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, docstatus: Optional[str] = None, periodstartupdate: Optional[pd.Timestamp] = None, periodendupdate: Optional[pd.Timestamp] = None, offset: int = 0) -> bytes: """ This endpoint serves ZIP files. The query is limited to 200 items per request. Parameters ---------- country_code : Area|str start : pd.Timestamp end : pd.Timestamp docstatus : str, optional periodstartupdate : pd.Timestamp, optional periodendupdate : pd.Timestamp, optional offset : int Returns ------- bytes """ content = self._query_unavailability( country_code=country_code, start=start, end=end, doctype="A80", docstatus=docstatus, periodstartupdate=periodstartupdate, periodendupdate=periodendupdate, offset=offset) return content def query_unavailability_of_production_units( self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, docstatus: Optional[str] = None, periodstartupdate: Optional[pd.Timestamp] = None, periodendupdate: Optional[pd.Timestamp] = None) -> bytes: """ This endpoint serves ZIP files. The query is limited to 200 items per request. Parameters ---------- country_code : Area|str start : pd.Timestamp end : pd.Timestamp docstatus : str, optional periodstartupdate : pd.Timestamp, optional periodendupdate : pd.Timestamp, optional Returns ------- bytes """ content = self._query_unavailability( country_code=country_code, start=start, end=end, doctype="A77", docstatus=docstatus, periodstartupdate=periodstartupdate, periodendupdate=periodendupdate) return content def query_unavailability_transmission( self, country_code_from: Union[Area, str], country_code_to: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, docstatus: Optional[str] = None, periodstartupdate: Optional[pd.Timestamp] = None, periodendupdate: Optional[pd.Timestamp] = None, offset: int = 0, **kwargs) -> bytes: """ Generic unavailibility query method. This endpoint serves ZIP files. The query is limited to 200 items per request. Parameters ---------- country_code_from : Area|str country_code_to : Area|str start : pd.Timestamp end : pd.Timestamp docstatus : str, optional periodstartupdate : pd.Timestamp, optional periodendupdate : pd.Timestamp, optional offset : int Returns ------- bytes """ area_in = lookup_area(country_code_to) area_out = lookup_area(country_code_from) params = { 'documentType': "A78", 'in_Domain': area_in.code, 'out_Domain': area_out.code, 'offset': offset } if docstatus: params['docStatus'] = docstatus if periodstartupdate and periodendupdate: params['periodStartUpdate'] = self._datetime_to_str( periodstartupdate) params['periodEndUpdate'] = self._datetime_to_str(periodendupdate) response = self._base_request(params=params, start=start, end=end) return response.content def query_withdrawn_unavailability_of_generation_units( self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp) -> bytes: """ Parameters ---------- country_code : Area|str start : pd.Timestamp end : pd.Timestamp Returns ------- bytes """ content = self._query_unavailability( country_code=country_code, start=start, end=end, doctype="A80", docstatus='A13') return content class EntsoePandasClient(EntsoeRawClient): @year_limited def query_net_position_dayahead(self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp) -> pd.Series: """ Parameters ---------- country_code start end Returns ------- """ area = lookup_area(country_code) text = super(EntsoePandasClient, self).query_net_position_dayahead( country_code=area, start=start, end=end) series = parse_netpositions(text) series = series.tz_convert(area.tz) series = series.truncate(before=start, after=end) return series @year_limited def query_day_ahead_prices( self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp) -> pd.Series: """ Parameters ---------- country_code : Area|str start : pd.Timestamp end : pd.Timestamp Returns ------- pd.Series """ area = lookup_area(country_code) text = super(EntsoePandasClient, self).query_day_ahead_prices( country_code=area, start=start, end=end) series = parse_prices(text) series = series.tz_convert(area.tz) series = series.truncate(before=start, after=end) return series @year_limited def query_load(self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp) -> pd.DataFrame: """ Parameters ---------- country_code : Area|str start : pd.Timestamp end : pd.Timestamp Returns ------- pd.Series """ area = lookup_area(country_code) text = super(EntsoePandasClient, self).query_load( country_code=area, start=start, end=end) series = parse_loads(text, process_type='A16') series = series.tz_convert(area.tz) series = series.truncate(before=start, after=end) return series @year_limited def query_load_forecast( self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, process_type: str = 'A01') -> pd.DataFrame: """ Parameters ---------- country_code : Area|str start : pd.Timestamp end : pd.Timestamp process_type : str Returns ------- pd.DataFrame """ area = lookup_area(country_code) text = super(EntsoePandasClient, self).query_load_forecast( country_code=area, start=start, end=end, process_type=process_type) df = parse_loads(text, process_type=process_type) df = df.tz_convert(area.tz) df = df.truncate(before=start, after=end) return df def query_load_and_forecast( self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp) -> pd.DataFrame: """ utility function to combina query realised load and forecasted day ahead load. this mimics the html view on the page Total Load - Day Ahead / Actual Parameters ---------- country_code : Area|str start : pd.Timestamp end : pd.Timestamp Returns ------- pd.DataFrame """ df_load_forecast_da = self.query_load_forecast(country_code, start=start, end=end) df_load = self.query_load(country_code, start=start, end=end) return df_load_forecast_da.join(df_load, sort=True, how='inner') @year_limited def query_generation_forecast( self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, process_type: str = 'A01', nett: bool = False) -> Union[pd.DataFrame, pd.Series]: """ Parameters ---------- country_code : Area|str start : pd.Timestamp end : pd.Timestamp process_type : str nett : bool condense generation and consumption into a nett number Returns ------- pd.DataFrame | pd.Series """ area = lookup_area(country_code) text = super(EntsoePandasClient, self).query_generation_forecast( country_code=area, start=start, end=end, process_type=process_type) df = parse_generation(text, nett=nett) df = df.tz_convert(area.tz) df = df.truncate(before=start, after=end) return df @year_limited def query_wind_and_solar_forecast( self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, psr_type: Optional[str] = None, process_type: str = 'A01', **kwargs) -> pd.DataFrame: """ Parameters ---------- country_code : Area|str start : pd.Timestamp end : pd.Timestamp psr_type : str filter on a single psr type process_type : str Returns ------- pd.DataFrame """ area = lookup_area(country_code) text = super(EntsoePandasClient, self).query_wind_and_solar_forecast( country_code=area, start=start, end=end, psr_type=psr_type, process_type=process_type) df = parse_generation(text, nett=True) df = df.tz_convert(area.tz) df = df.truncate(before=start, after=end) return df @year_limited def query_generation( self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, psr_type: Optional[str] = None, nett: bool = False, **kwargs) -> pd.DataFrame: """ Parameters ---------- country_code : Area|str start : pd.Timestamp end : pd.Timestamp psr_type : str filter on a single psr type nett : bool condense generation and consumption into a nett number Returns ------- pd.DataFrame """ area = lookup_area(country_code) text = super(EntsoePandasClient, self).query_generation( country_code=area, start=start, end=end, psr_type=psr_type) df = parse_generation(text, nett=nett) df = df.tz_convert(area.tz) df = df.truncate(before=start, after=end) return df @year_limited def query_installed_generation_capacity( self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, psr_type: Optional[str] = None) -> pd.DataFrame: """ Parameters ---------- country_code : Area|str start : pd.Timestamp end : pd.Timestamp psr_type : str filter query for a specific psr type Returns ------- pd.DataFrame """ area = lookup_area(country_code) text = super( EntsoePandasClient, self).query_installed_generation_capacity( country_code=area, start=start, end=end, psr_type=psr_type) df = parse_generation(text) df = df.tz_convert(area.tz) # Truncate to YearBegin and YearEnd, because answer is always year-based df = df.truncate(before=start - YearBegin(), after=end + YearEnd()) return df @year_limited def query_installed_generation_capacity_per_unit( self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, psr_type: Optional[str] = None) -> pd.DataFrame: """ Parameters ---------- country_code : Area|str start : pd.Timestamp end : pd.Timestamp psr_type : str filter query for a specific psr type Returns ------- pd.DataFrame """ area = lookup_area(country_code) text = super( EntsoePandasClient, self).query_installed_generation_capacity_per_unit( country_code=area, start=start, end=end, psr_type=psr_type) df = parse_installed_capacity_per_plant(text) return df @year_limited def query_crossborder_flows( self, country_code_from: Union[Area, str], country_code_to: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, **kwargs) -> pd.Series: """ Note: Result will be in the timezone of the origin country Parameters ---------- country_code_from : Area|str country_code_to : Area|str start : pd.Timestamp end : pd.Timestamp Returns ------- pd.Series """ area_to = lookup_area(country_code_to) area_from = lookup_area(country_code_from) text = super(EntsoePandasClient, self).query_crossborder_flows( country_code_from=area_from, country_code_to=area_to, start=start, end=end) ts = parse_crossborder_flows(text) ts = ts.tz_convert(area_from.tz) ts = ts.truncate(before=start, after=end) return ts @year_limited def query_scheduled_exchanges( self, country_code_from: Union[Area, str], country_code_to: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, dayahead: bool = False, **kwargs) -> pd.Series: """ Note: Result will be in the timezone of the origin country Parameters ---------- country_code_from : Area|str country_code_to : Area|str dayahead : bool start : pd.Timestamp end : pd.Timestamp Returns ------- pd.Series """ area_to = lookup_area(country_code_to) area_from = lookup_area(country_code_from) text = super(EntsoePandasClient, self).query_scheduled_exchanges( country_code_from=area_from, country_code_to=area_to, dayahead=dayahead, start=start, end=end) ts = parse_crossborder_flows(text) ts = ts.tz_convert(area_from.tz) ts = ts.truncate(before=start, after=end) return ts @year_limited def query_net_transfer_capacity_dayahead( self, country_code_from: Union[Area, str], country_code_to: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, **kwargs) -> pd.Series: """ Note: Result will be in the timezone of the origin country Parameters ---------- country_code_from : Area|str country_code_to : Area|str start : pd.Timestamp end : pd.Timestamp Returns ------- pd.Series """ area_to = lookup_area(country_code_to) area_from = lookup_area(country_code_from) text = super(EntsoePandasClient, self).query_net_transfer_capacity_dayahead( country_code_from=area_from, country_code_to=area_to, start=start, end=end) ts = parse_crossborder_flows(text) ts = ts.tz_convert(area_from.tz) ts = ts.truncate(before=start, after=end) return ts @year_limited def query_net_transfer_capacity_weekahead( self, country_code_from: Union[Area, str], country_code_to: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, **kwargs) -> pd.Series: """ Note: Result will be in the timezone of the origin country Parameters ---------- country_code_from : Area|str country_code_to : Area|str start : pd.Timestamp end : pd.Timestamp Returns ------- pd.Series """ area_to = lookup_area(country_code_to) area_from = lookup_area(country_code_from) text = super(EntsoePandasClient, self).query_net_transfer_capacity_weekahead( country_code_from=area_from, country_code_to=area_to, start=start, end=end) ts = parse_crossborder_flows(text) ts = ts.tz_convert(area_from.tz) ts = ts.truncate(before=start, after=end) return ts @year_limited def query_net_transfer_capacity_monthahead( self, country_code_from: Union[Area, str], country_code_to: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, **kwargs) -> pd.Series: """ Note: Result will be in the timezone of the origin country Parameters ---------- country_code_from : Area|str country_code_to : Area|str start : pd.Timestamp end : pd.Timestamp Returns ------- pd.Series """ area_to = lookup_area(country_code_to) area_from = lookup_area(country_code_from) text = super(EntsoePandasClient, self).query_net_transfer_capacity_monthahead( country_code_from=area_from, country_code_to=area_to, start=start, end=end) ts = parse_crossborder_flows(text) ts = ts.tz_convert(area_from.tz) ts = ts.truncate(before=start, after=end) return ts @year_limited def query_net_transfer_capacity_yearahead( self, country_code_from: Union[Area, str], country_code_to: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, **kwargs) -> pd.Series: """ Note: Result will be in the timezone of the origin country Parameters ---------- country_code_from : Area|str country_code_to : Area|str start : pd.Timestamp end : pd.Timestamp Returns ------- pd.Series """ area_to = lookup_area(country_code_to) area_from = lookup_area(country_code_from) text = super(EntsoePandasClient, self).query_net_transfer_capacity_yearahead( country_code_from=area_from, country_code_to=area_to, start=start, end=end) ts = parse_crossborder_flows(text) ts = ts.tz_convert(area_from.tz) ts = ts.truncate(before=start, after=end) return ts @year_limited def query_intraday_offered_capacity( self, country_code_from: Union[Area, str], country_code_to: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, implicit:bool = True, **kwargs) -> pd.Series: """ Note: Result will be in the timezone of the origin country --> to check Parameters ---------- country_code_from : Area|str country_code_to : Area|str start : pd.Timestamp end : pd.Timestamp implicit: bool (True = implicit - default for most borders. False = explicit - for instance BE-GB) Returns ------- pd.Series """ area_to = lookup_area(country_code_to) area_from = lookup_area(country_code_from) text = super(EntsoePandasClient, self).query_intraday_offered_capacity( country_code_from=area_from, country_code_to=area_to, start=start, end=end, implicit=implicit) ts = parse_crossborder_flows(text) ts = ts.tz_convert(area_from.tz) ts = ts.truncate(before=start, after=end) return ts @year_limited def query_imbalance_prices( self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, psr_type: Optional[str] = None) -> pd.DataFrame: """ Parameters ---------- country_code : Area|str start : pd.Timestamp end : pd.Timestamp psr_type : str filter query for a specific psr type Returns ------- pd.DataFrame """ area = lookup_area(country_code) archive = super(EntsoePandasClient, self).query_imbalance_prices( country_code=area, start=start, end=end, psr_type=psr_type) df = parse_imbalance_prices_zip(zip_contents=archive) df = df.tz_convert(area.tz) df = df.truncate(before=start, after=end) return df @year_limited def query_imbalance_volumes( self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, psr_type: Optional[str] = None) -> pd.DataFrame: """ Parameters ---------- country_code : Area|str start : pd.Timestamp end : pd.Timestamp psr_type : str filter query for a specific psr type Returns ------- pd.DataFrame """ area = lookup_area(country_code) archive = super(EntsoePandasClient, self).query_imbalance_volumes( country_code=area, start=start, end=end, psr_type=psr_type) df = parse_imbalance_volumes_zip(zip_contents=archive) df = df.tz_convert(area.tz) df = df.truncate(before=start, after=end) return df @year_limited @paginated def query_procured_balancing_capacity( self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, process_type: str, type_marketagreement_type: Optional[str] = None) -> bytes: """ Activated Balancing Energy [17.1.E] Parameters ---------- country_code : Area|str start : pd.Timestamp end : pd.Timestamp process_type : str A51 ... aFRR; A47 ... mFRR type_marketagreement_type : str type of contract (see mappings.MARKETAGREEMENTTYPE) Returns ------- pd.DataFrame """ area = lookup_area(country_code) text = super(EntsoePandasClient, self).query_procured_balancing_capacity( country_code=area, start=start, end=end, process_type=process_type, type_marketagreement_type=type_marketagreement_type) df = parse_procured_balancing_capacity(text, area.tz) df = df.tz_convert(area.tz) df = df.truncate(before=start, after=end) return df @year_limited def query_activated_balancing_energy( self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, business_type: str, psr_type: Optional[str] = None) -> pd.DataFrame: """ Activated Balancing Energy [17.1.E] Parameters ---------- country_code : Area|str start : pd.Timestamp end : pd.Timestamp business_type: str type of contract (see mappings.BSNTYPE) psr_type : str filter query for a specific psr type Returns ------- pd.DataFrame """ area = lookup_area(country_code) text = super(EntsoePandasClient, self).query_activated_balancing_energy( country_code=area, start=start, end=end, business_type=business_type, psr_type=psr_type) df = parse_contracted_reserve(text, area.tz, "quantity") df = df.tz_convert(area.tz) df = df.truncate(before=start, after=end) return df @year_limited @paginated @documents_limited(100) def query_contracted_reserve_prices( self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, type_marketagreement_type: str, psr_type: Optional[str] = None, offset: int = 0) -> pd.DataFrame: """ Parameters ---------- country_code : Area, str start : pd.Timestamp end : pd.Timestamp type_marketagreement_type : str type of contract (see mappings.MARKETAGREEMENTTYPE) psr_type : str filter query for a specific psr type offset : int offset for querying more than 100 documents Returns ------- pd.DataFrame """ area = lookup_area(country_code) text = super(EntsoePandasClient, self).query_contracted_reserve_prices( country_code=area, start=start, end=end, type_marketagreement_type=type_marketagreement_type, psr_type=psr_type, offset=offset) df = parse_contracted_reserve(text, area.tz, "procurement_price.amount") df = df.tz_convert(area.tz) df = df.truncate(before=start, after=end) return df @year_limited @paginated @documents_limited(100) def query_contracted_reserve_amount( self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, type_marketagreement_type: str, psr_type: Optional[str] = None, offset: int = 0) -> pd.DataFrame: """ Parameters ---------- country_code : Area|str start : pd.Timestamp end : pd.Timestamp type_marketagreement_type : str type of contract (see mappings.MARKETAGREEMENTTYPE) psr_type : str filter query for a specific psr type offset : int offset for querying more than 100 documents Returns ------- pd.DataFrame """ area = lookup_area(country_code) text = super(EntsoePandasClient, self).query_contracted_reserve_amount( country_code=area, start=start, end=end, type_marketagreement_type=type_marketagreement_type, psr_type=psr_type, offset=offset) df = parse_contracted_reserve(text, area.tz, "quantity") df = df.tz_convert(area.tz) df = df.truncate(before=start, after=end) return df @year_limited @paginated @documents_limited(200) def _query_unavailability( self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, doctype: str, docstatus: Optional[str] = None, periodstartupdate: Optional[pd.Timestamp] = None, periodendupdate: Optional[pd.Timestamp] = None, offset: int = 0) -> pd.DataFrame: """ Parameters ---------- country_code : Area|str start : pd.Timestamp end : pd.Timestamp doctype : str docstatus : str, optional periodstartupdate : pd.Timestamp, optional periodendupdate : pd.Timestamp, optional offset : int Returns ------- pd.DataFrame """ area = lookup_area(country_code) content = super(EntsoePandasClient, self)._query_unavailability( country_code=area, start=start, end=end, doctype=doctype, docstatus=docstatus, periodstartupdate=periodstartupdate, periodendupdate=periodendupdate, offset=offset) df = parse_unavailabilities(content, doctype) df = df.tz_convert(area.tz) df['start'] = df['start'].apply(lambda x: x.tz_convert(area.tz)) df['end'] = df['end'].apply(lambda x: x.tz_convert(area.tz)) df = df[(df['start'] < end) | (df['end'] > start)] return df def query_unavailability_of_generation_units( self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, docstatus: Optional[str] = None, periodstartupdate: Optional[pd.Timestamp] = None, periodendupdate: Optional[pd.Timestamp] = None) -> pd.DataFrame: """ Parameters ---------- country_code : Area|str start : pd.Timestamp end : pd.Timestamp docstatus : str, optional periodstartupdate : pd.Timestamp, optional periodendupdate : pd.Timestamp, optional Returns ------- pd.DataFrame """ df = self._query_unavailability( country_code=country_code, start=start, end=end, doctype="A80", docstatus=docstatus, periodstartupdate=periodstartupdate, periodendupdate=periodendupdate) return df def query_unavailability_of_production_units( self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, docstatus: Optional[str] = None, periodstartupdate: Optional[pd.Timestamp] = None, periodendupdate: Optional[pd.Timestamp] = None) -> pd.DataFrame: """ Parameters ---------- country_code : Area|str start : pd.Timestamp end : pd.Timestamp docstatus : str, optional periodstartupdate : pd.Timestamp, optional periodendupdate : pd.Timestamp, optional Returns ------- pd.DataFrame """ df = self._query_unavailability( country_code=country_code, start=start, end=end, doctype="A77", docstatus=docstatus, periodstartupdate=periodstartupdate, periodendupdate=periodendupdate) return df @paginated def query_unavailability_transmission( self, country_code_from: Union[Area, str], country_code_to: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, docstatus: Optional[str] = None, periodstartupdate: Optional[pd.Timestamp] = None, periodendupdate: Optional[pd.Timestamp] = None, offset: int = 0, **kwargs) -> pd.DataFrame: """ Parameters ---------- country_code_from : Area|str country_code_to : Area|str start : pd.Timestamp end : pd.Timestamp docstatus : str, optional periodstartupdate : pd.Timestamp, optional periodendupdate : pd.Timestamp, optional offset : int Returns ------- pd.DataFrame """ area_to = lookup_area(country_code_to) area_from = lookup_area(country_code_from) content = super(EntsoePandasClient, self).query_unavailability_transmission( area_from, area_to, start, end, docstatus, periodstartupdate, periodendupdate, offset=offset) df = parse_unavailabilities(content, "A78") df = df.tz_convert(area_from.tz) df['start'] = df['start'].apply(lambda x: x.tz_convert(area_from.tz)) df['end'] = df['end'].apply(lambda x: x.tz_convert(area_from.tz)) df = df[(df['start'] < end) | (df['end'] > start)] return df def query_withdrawn_unavailability_of_generation_units( self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp) -> pd.DataFrame: """ Parameters ---------- country_code : Area|str start : pd.Timestamp end : pd.Timestamp Returns ------- pd.DataFrame """ df = self.query_unavailability_of_generation_units( country_code=country_code, start=start, end=end, docstatus='A13') df = df[(df['start'] < end) | (df['end'] > start)] return df @day_limited def query_generation_per_plant( self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp, psr_type: Optional[str] = None, include_eic: bool = False, nett: bool = False, **kwargs) -> pd.DataFrame: """ Parameters ---------- country_code : Area|str start : pd.Timestamp end : pd.Timestamp psr_type : str filter on a single psr type nett : bool condense generation and consumption into a nett number include_eic: bool if True also include the eic code in the output Returns ------- pd.DataFrame """ area = lookup_area(country_code) text = super(EntsoePandasClient, self).query_generation_per_plant( country_code=area, start=start, end=end, psr_type=psr_type) df = parse_generation(text, per_plant=True, include_eic=include_eic) df.columns = df.columns.set_levels(df.columns.levels[0].str.encode('latin-1').str.decode('utf-8'), level=0) df = df.tz_convert(area.tz) # Truncation will fail if data is not sorted along the index in rare # cases. Ensure the dataframe is sorted: df = df.sort_index(0) df = df.truncate(before=start, after=end) return df def query_import(self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp) -> pd.DataFrame: """ Adds together all incoming cross-border flows to a country The neighbours of a country are given by the NEIGHBOURS mapping """ area = lookup_area(country_code) imports = [] for neighbour in NEIGHBOURS[area.name]: try: im = self.query_crossborder_flows(country_code_from=neighbour, country_code_to=country_code, end=end, start=start, lookup_bzones=True) except NoMatchingDataError: continue im.name = neighbour imports.append(im) df = pd.concat(imports, axis=1) # drop columns that contain only zero's df = df.loc[:, (df != 0).any(axis=0)] df = df.tz_convert(area.tz) df = df.truncate(before=start, after=end) return df def query_generation_import( self, country_code: Union[Area, str], start: pd.Timestamp, end: pd.Timestamp) -> pd.DataFrame: """Query the combination of both domestic generation and imports""" generation = self.query_generation(country_code=country_code, end=end, start=start, lookup_bzones=True) generation = generation.loc[:, (generation != 0).any( axis=0)] # drop columns that contain only zero's generation = generation.resample('H').sum() imports = self.query_import(country_code=country_code, start=start, end=end) data = {f'Generation': generation, f'Import': imports} df = pd.concat(data.values(), axis=1, keys=data.keys()) df = df.truncate(before=start, after=end) return df

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py

Python

plugins/minfraud/komand_minfraud/actions/device_lookup/schema.py

lukaszlaszuk/insightconnect-plugins

8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892

[ "MIT" ]

46

2019-06-05T20:47:58.000Z

2022-03-29T10:18:01.000Z

plugins/minfraud/komand_minfraud/actions/device_lookup/schema.py

lukaszlaszuk/insightconnect-plugins

8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892

[ "MIT" ]

386

2019-06-07T20:20:39.000Z

2022-03-30T17:35:01.000Z

plugins/minfraud/komand_minfraud/actions/device_lookup/schema.py

lukaszlaszuk/insightconnect-plugins

8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892

[ "MIT" ]

43

2019-07-09T14:13:58.000Z

2022-03-28T12:04:46.000Z

# GENERATED BY KOMAND SDK - DO NOT EDIT import komand import json class Component: DESCRIPTION = "Query device info" class Input: ACCEPT_LANGUAGE = "accept_language" ADDRESS = "address" USER_AGENT = "user_agent" class Output: DEVICE_RESULT = "device_result" IP_RESULT = "ip_result" RISK_SCORE = "risk_score" class DeviceLookupInput(komand.Input): schema = json.loads(""" { "type": "object", "title": "Variables", "properties": { "accept_language": { "type": "string", "title": "Accept-Language", "description": "HTTP Accept-Language header", "order": 3 }, "address": { "type": "string", "title": "IP Address", "description": "IP address to query", "order": 1 }, "user_agent": { "type": "string", "title": "User-Agent", "description": "HTTP User-Agent header", "order": 2 } }, "required": [ "address" ] } """) def __init__(self): super(self.__class__, self).__init__(self.schema) class DeviceLookupOutput(komand.Output): schema = json.loads(""" { "type": "object", "title": "Variables", "properties": { "device_result": { "$ref": "#/definitions/device", "title": "Device Result", "description": "Results for device", "order": 1 }, "ip_result": { "$ref": "#/definitions/ip", "title": "Ip Result", "description": "Results for IP", "order": 2 }, "risk_score": { "type": "string", "title": "Risk Score", "description": "Overall risk score", "order": 3 } }, "definitions": { "city": { "type": "object", "title": "city", "properties": { "confidence": { "type": "integer", "title": "Confidence", "description": "City confidence", "order": 1 }, "geoname_id": { "type": "integer", "title": "Geoname Id", "description": "City geoname ID", "order": 2 }, "name": { "type": "string", "title": "Name", "description": "City name", "order": 3 } } }, "continent": { "type": "object", "title": "continent", "properties": { "code": { "type": "string", "title": "Code", "description": "Continent code", "order": 1 }, "geoname_id": { "type": "integer", "title": "Geoname Id", "description": "Continent geoname ID", "order": 2 }, "name": { "type": "string", "title": "Name", "description": "Continent name", "order": 3 } } }, "country": { "type": "object", "title": "country", "properties": { "confidence": { "type": "integer", "title": "Confidence", "description": "Country confidence", "order": 1 }, "geoname_id": { "type": "integer", "title": "Geoname Id", "description": "Country geoname ID", "order": 2 }, "is_high_risk": { "type": "boolean", "title": "Is High Risk", "description": "Is country high risk", "order": 3 }, "iso_code": { "type": "string", "title": "Iso Code", "description": "Country ISO code", "order": 4 }, "name": { "type": "string", "title": "Name", "description": "country name", "order": 5 } } }, "device": { "type": "object", "title": "device", "properties": { "confidence": { "type": "integer", "title": "Confidence", "description": "Device confidence", "order": 1 }, "id": { "type": "string", "title": "Id", "description": "Device ID", "order": 2 }, "last_seen": { "type": "string", "title": "Last Seen", "description": "Device last seen", "order": 3 } } }, "ip": { "type": "object", "title": "ip", "properties": { "city": { "$ref": "#/definitions/city", "title": "City", "description": "City associated with IP", "order": 2 }, "continent": { "$ref": "#/definitions/continent", "title": "Continent", "description": "Continent associated with IP", "order": 3 }, "country": { "$ref": "#/definitions/country", "title": "Country", "description": "Country associated with IP", "order": 4 }, "location": { "$ref": "#/definitions/location", "title": "Location", "description": "Location associated with IP", "order": 5 }, "postal": { "$ref": "#/definitions/postal", "title": "Postal", "description": "Postal associated with IP", "order": 6 }, "registered_country": { "$ref": "#/definitions/registered_country", "title": "Registered Country", "description": "Country where IP is registered", "order": 7 }, "represented_country": { "$ref": "#/definitions/represented_country", "title": "Represented Country", "description": "Country where IP is represented", "order": 8 }, "risk": { "type": "string", "title": "Risk", "description": "IP risk score", "order": 1 }, "subdivisions": { "$ref": "#/definitions/subdivisions", "title": "Subdivisions", "description": "Subdivisions data", "order": 9 }, "traits": { "$ref": "#/definitions/traits", "title": "Traits", "description": "Traits data", "order": 10 } }, "definitions": { "city": { "type": "object", "title": "city", "properties": { "confidence": { "type": "integer", "title": "Confidence", "description": "City confidence", "order": 1 }, "geoname_id": { "type": "integer", "title": "Geoname Id", "description": "City geoname ID", "order": 2 }, "name": { "type": "string", "title": "Name", "description": "City name", "order": 3 } } }, "continent": { "type": "object", "title": "continent", "properties": { "code": { "type": "string", "title": "Code", "description": "Continent code", "order": 1 }, "geoname_id": { "type": "integer", "title": "Geoname Id", "description": "Continent geoname ID", "order": 2 }, "name": { "type": "string", "title": "Name", "description": "Continent name", "order": 3 } } }, "country": { "type": "object", "title": "country", "properties": { "confidence": { "type": "integer", "title": "Confidence", "description": "Country confidence", "order": 1 }, "geoname_id": { "type": "integer", "title": "Geoname Id", "description": "Country geoname ID", "order": 2 }, "is_high_risk": { "type": "boolean", "title": "Is High Risk", "description": "Is country high risk", "order": 3 }, "iso_code": { "type": "string", "title": "Iso Code", "description": "Country ISO code", "order": 4 }, "name": { "type": "string", "title": "Name", "description": "country name", "order": 5 } } }, "location": { "type": "object", "title": "location", "properties": { "accuracy_raidus": { "type": "integer", "title": "Accuracy Raidus", "description": "Accuracy Radius", "order": 1 }, "latitude": { "type": "string", "title": "Latitude", "description": "Latitude of location", "order": 2 }, "local_time": { "type": "string", "title": "Local Time", "description": "Local time of location", "order": 3 }, "longitude": { "type": "string", "title": "Longitude", "description": "Longitude of location", "order": 4 }, "metro_code": { "type": "integer", "title": "Metro Code", "description": "Metro code", "order": 5 }, "time_zone": { "type": "string", "title": "Time Zone", "description": "Time zone of location", "order": 6 } } }, "postal": { "type": "object", "title": "postal", "properties": { "code": { "type": "integer", "title": "Code", "description": "Postal code", "order": 1 }, "confidence": { "type": "integer", "title": "Confidence", "description": "Postal confidence", "order": 2 } } }, "registered_country": { "type": "object", "title": "registered_country", "properties": { "geoname_id": { "type": "integer", "title": "Geoname Id", "description": "Registered country geoname ID", "order": 1 }, "iso_code": { "type": "string", "title": "Iso Code", "description": "Registered country ISO code", "order": 2 }, "name": { "type": "string", "title": "Name", "description": "Registered country name", "order": 3 } } }, "represented_country": { "type": "object", "title": "represented_country", "properties": { "_type": { "type": "string", "title": "Type", "description": "Represented country type", "order": 4 }, "geoname_id": { "type": "integer", "title": "Geoname Id", "description": "Represented country geoname ID", "order": 1 }, "iso_code": { "type": "string", "title": "Iso Code", "description": "Represented country ISO code", "order": 2 }, "name": { "type": "string", "title": "Name", "description": "Represented country name", "order": 3 } } }, "subdivisions": { "type": "object", "title": "subdivisions", "properties": { "confidence": { "type": "integer", "title": "Confidence", "description": "Subdivision confidence", "order": 1 }, "geoname_id": { "type": "integer", "title": "Geoname Id", "description": "Subdivision geoname ID", "order": 2 }, "iso_code": { "type": "string", "title": "Iso Code", "description": "Subdivision ISO code", "order": 3 }, "name": { "type": "string", "title": "Name", "description": "Subdivision name", "order": 4 } } }, "traits": { "type": "object", "title": "traits", "properties": { "autonomous_system_number": { "type": "integer", "title": "Autonomous System Number", "description": "Autonomous system number", "order": 1 }, "autonomous_system_organization": { "type": "string", "title": "Autonomous System Organization", "description": "Organization associated with ASN", "order": 2 }, "domain": { "type": "string", "title": "Domain", "description": "Domain", "order": 3 }, "ip_address": { "type": "string", "title": "Ip Address", "description": "IP address", "order": 7 }, "is_anonymous_proxy": { "type": "boolean", "title": "Is Anonymous Proxy", "description": "Is IP an anonymous proxy", "order": 4 }, "is_satellite_provider": { "type": "boolean", "title": "Is Satellite Provider", "description": "Is IP a satellite provider", "order": 5 }, "isp": { "type": "string", "title": "Isp", "description": "ISP associated with IP", "order": 6 }, "organization": { "type": "string", "title": "Organization", "description": "Organization associated with IP", "order": 8 }, "user_type": { "type": "string", "title": "User Type", "description": "User Type", "order": 9 } } } } }, "location": { "type": "object", "title": "location", "properties": { "accuracy_raidus": { "type": "integer", "title": "Accuracy Raidus", "description": "Accuracy Radius", "order": 1 }, "latitude": { "type": "string", "title": "Latitude", "description": "Latitude of location", "order": 2 }, "local_time": { "type": "string", "title": "Local Time", "description": "Local time of location", "order": 3 }, "longitude": { "type": "string", "title": "Longitude", "description": "Longitude of location", "order": 4 }, "metro_code": { "type": "integer", "title": "Metro Code", "description": "Metro code", "order": 5 }, "time_zone": { "type": "string", "title": "Time Zone", "description": "Time zone of location", "order": 6 } } }, "postal": { "type": "object", "title": "postal", "properties": { "code": { "type": "integer", "title": "Code", "description": "Postal code", "order": 1 }, "confidence": { "type": "integer", "title": "Confidence", "description": "Postal confidence", "order": 2 } } }, "registered_country": { "type": "object", "title": "registered_country", "properties": { "geoname_id": { "type": "integer", "title": "Geoname Id", "description": "Registered country geoname ID", "order": 1 }, "iso_code": { "type": "string", "title": "Iso Code", "description": "Registered country ISO code", "order": 2 }, "name": { "type": "string", "title": "Name", "description": "Registered country name", "order": 3 } } }, "represented_country": { "type": "object", "title": "represented_country", "properties": { "_type": { "type": "string", "title": "Type", "description": "Represented country type", "order": 4 }, "geoname_id": { "type": "integer", "title": "Geoname Id", "description": "Represented country geoname ID", "order": 1 }, "iso_code": { "type": "string", "title": "Iso Code", "description": "Represented country ISO code", "order": 2 }, "name": { "type": "string", "title": "Name", "description": "Represented country name", "order": 3 } } }, "subdivisions": { "type": "object", "title": "subdivisions", "properties": { "confidence": { "type": "integer", "title": "Confidence", "description": "Subdivision confidence", "order": 1 }, "geoname_id": { "type": "integer", "title": "Geoname Id", "description": "Subdivision geoname ID", "order": 2 }, "iso_code": { "type": "string", "title": "Iso Code", "description": "Subdivision ISO code", "order": 3 }, "name": { "type": "string", "title": "Name", "description": "Subdivision name", "order": 4 } } }, "traits": { "type": "object", "title": "traits", "properties": { "autonomous_system_number": { "type": "integer", "title": "Autonomous System Number", "description": "Autonomous system number", "order": 1 }, "autonomous_system_organization": { "type": "string", "title": "Autonomous System Organization", "description": "Organization associated with ASN", "order": 2 }, "domain": { "type": "string", "title": "Domain", "description": "Domain", "order": 3 }, "ip_address": { "type": "string", "title": "Ip Address", "description": "IP address", "order": 7 }, "is_anonymous_proxy": { "type": "boolean", "title": "Is Anonymous Proxy", "description": "Is IP an anonymous proxy", "order": 4 }, "is_satellite_provider": { "type": "boolean", "title": "Is Satellite Provider", "description": "Is IP a satellite provider", "order": 5 }, "isp": { "type": "string", "title": "Isp", "description": "ISP associated with IP", "order": 6 }, "organization": { "type": "string", "title": "Organization", "description": "Organization associated with IP", "order": 8 }, "user_type": { "type": "string", "title": "User Type", "description": "User Type", "order": 9 } } } } } """) def __init__(self): super(self.__class__, self).__init__(self.schema)

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6ae38a3103a05f7f8603c9526ca6678ce7901459

8,668

py

Python

tests/visualization_tests/test_optimization_history.py

captain-pool/optuna

2ae8c17afea54362460320870304c763e91c0596

[ "MIT" ]

1,300

2018-12-03T06:11:11.000Z

2019-11-15T01:28:25.000Z

tests/visualization_tests/test_optimization_history.py

captain-pool/optuna

2ae8c17afea54362460320870304c763e91c0596

[ "MIT" ]

274

2018-12-04T09:54:07.000Z

2019-11-15T02:23:18.000Z

tests/visualization_tests/test_optimization_history.py

captain-pool/optuna

2ae8c17afea54362460320870304c763e91c0596

[ "MIT" ]

148

2018-12-03T10:48:50.000Z

2019-11-11T16:37:51.000Z

import numpy as np import pytest from optuna.study import create_study from optuna.trial import Trial from optuna.visualization import plot_optimization_history def test_target_is_none_and_study_is_multi_obj() -> None: study = create_study(directions=["minimize", "minimize"]) with pytest.raises(ValueError): plot_optimization_history(study) @pytest.mark.parametrize("direction", ["minimize", "maximize"]) def test_plot_optimization_history(direction: str) -> None: # Test with no trial. study = create_study(direction=direction) figure = plot_optimization_history(study) assert len(figure.data) == 0 def objective(trial: Trial) -> float: if trial.number == 0: return 1.0 elif trial.number == 1: return 2.0 elif trial.number == 2: return 0.0 return 0.0 # Test with a trial. study = create_study(direction=direction) study.optimize(objective, n_trials=3) figure = plot_optimization_history(study) assert len(figure.data) == 2 assert np.array_equal(figure.data[0].x, [0, 1, 2]) assert np.array_equal(figure.data[0].y, [1.0, 2.0, 0.0]) assert np.array_equal(figure.data[1].x, [0, 1, 2]) ydata = figure.data[1].y if direction == "minimize": assert np.array_equal(ydata, [1.0, 1.0, 0.0]) else: assert np.array_equal(ydata, [1.0, 2.0, 2.0]) legend_texts = [x.name for x in figure.data] assert legend_texts == ["Objective Value", "Best Value"] assert figure.layout.yaxis.title.text == "Objective Value" # Test customized target. with pytest.warns(UserWarning): figure = plot_optimization_history(study, target=lambda t: t.number) assert len(figure.data) == 1 assert np.array_equal(figure.data[0].x, [0, 1, 2]) assert np.array_equal(figure.data[0].y, [0.0, 1.0, 2.0]) # Test customized target name. custom_target_name = "Target Name" figure = plot_optimization_history(study, target_name=custom_target_name) legend_texts = [x.name for x in figure.data] assert legend_texts == [custom_target_name, "Best Value"] assert figure.layout.yaxis.title.text == custom_target_name # Ignore failed trials. def fail_objective(_: Trial) -> float: raise ValueError study = create_study(direction=direction) study.optimize(fail_objective, n_trials=1, catch=(ValueError,)) figure = plot_optimization_history(study) assert len(figure.data) == 0 @pytest.mark.parametrize("direction", ["minimize", "maximize"]) def test_plot_optimization_history_with_multiple_studies(direction: str) -> None: n_studies = 10 # Test with no trial. studies = [create_study(direction=direction) for _ in range(n_studies)] figure = plot_optimization_history(studies) assert len(figure.data) == 0 def objective(trial: Trial) -> float: if trial.number == 0: return 1.0 elif trial.number == 1: return 2.0 elif trial.number == 2: return 0.0 return 0.0 # Test with trials. studies = [create_study(direction=direction) for _ in range(n_studies)] for study in studies: study.optimize(objective, n_trials=3) figure = plot_optimization_history(studies) assert len(figure.data) == 2 * n_studies assert np.array_equal(figure.data[0].x, [0, 1, 2]) assert np.array_equal(figure.data[0].y, [1.0, 2.0, 0.0]) assert np.array_equal(figure.data[1].x, [0, 1, 2]) ydata = figure.data[1].y if direction == "minimize": assert np.array_equal(ydata, [1.0, 1.0, 0.0]) else: assert np.array_equal(ydata, [1.0, 2.0, 2.0]) expected_legend_texts = [] for i in range(n_studies): expected_legend_texts.append(f"Best Value of {studies[i].study_name}") expected_legend_texts.append(f"Objective Value of {studies[i].study_name}") legend_texts = [scatter.name for scatter in figure.data] assert sorted(legend_texts) == sorted(expected_legend_texts) assert figure.layout.yaxis.title.text == "Objective Value" # Test customized target. with pytest.warns(UserWarning): figure = plot_optimization_history(studies, target=lambda t: t.number) assert len(figure.data) == 1 * n_studies assert np.array_equal(figure.data[0].x, [0, 1, 2]) assert np.array_equal(figure.data[0].y, [0, 1, 2]) # Test customized target name. custom_target_name = "Target Name" figure = plot_optimization_history(studies, target_name=custom_target_name) expected_legend_texts = [] for i in range(n_studies): expected_legend_texts.append(f"Best Value of {studies[i].study_name}") expected_legend_texts.append(f"{custom_target_name} of {studies[i].study_name}") legend_texts = [scatter.name for scatter in figure.data] assert sorted(legend_texts) == sorted(expected_legend_texts) assert figure.layout.yaxis.title.text == custom_target_name # Ignore failed trials. def fail_objective(_: Trial) -> float: raise ValueError studies = [create_study(direction=direction) for _ in range(n_studies)] for study in studies: study.optimize(fail_objective, n_trials=1, catch=(ValueError,)) figure = plot_optimization_history(studies) assert len(figure.data) == 0 @pytest.mark.parametrize("direction", ["minimize", "maximize"]) def test_plot_optimization_history_with_error_bar(direction: str) -> None: n_studies = 10 # Test with no trial. studies = [create_study(direction=direction) for _ in range(n_studies)] figure = plot_optimization_history(studies, error_bar=True) assert len(figure.data) == 0 def objective(trial: Trial) -> float: if trial.number == 0: return 1.0 elif trial.number == 1: return 2.0 elif trial.number == 2: return 0.0 return 0.0 # Test with trials. studies = [create_study(direction=direction) for _ in range(n_studies)] for study in studies: study.optimize(objective, n_trials=3) figure = plot_optimization_history(studies, error_bar=True) assert len(figure.data) == 4 assert np.array_equal(figure.data[0].x, [0, 1, 2]) assert np.array_equal(figure.data[0].y, [1.0, 2.0, 0.0]) assert np.array_equal(figure.data[1].x, [0, 1, 2]) ydata = figure.data[1].y if direction == "minimize": assert np.array_equal(ydata, [1.0, 1.0, 0.0]) else: assert np.array_equal(ydata, [1.0, 2.0, 2.0]) # Scatters for error bar don't have `name`. legend_texts = [scatter.name for scatter in figure.data if scatter.name is not None] assert sorted(legend_texts) == ["Best Value", "Objective Value"] assert figure.layout.yaxis.title.text == "Objective Value" # Test customized target. with pytest.warns(UserWarning): figure = plot_optimization_history(studies, target=lambda t: t.number, error_bar=True) assert len(figure.data) == 1 assert np.array_equal(figure.data[0].x, [0, 1, 2]) assert np.array_equal(figure.data[0].y, [0, 1, 2]) # Test customized target name. custom_target_name = "Target Name" figure = plot_optimization_history(studies, target_name=custom_target_name, error_bar=True) legend_texts = [scatter.name for scatter in figure.data if scatter.name is not None] assert sorted(legend_texts) == ["Best Value", custom_target_name] assert figure.layout.yaxis.title.text == custom_target_name # Ignore failed trials. def fail_objective(_: Trial) -> float: raise ValueError studies = [create_study(direction=direction) for _ in range(n_studies)] for study in studies: study.optimize(fail_objective, n_trials=1, catch=(ValueError,)) figure = plot_optimization_history(studies, error_bar=True) assert len(figure.data) == 0 @pytest.mark.parametrize("direction", ["minimize", "maximize"]) def test_error_bar_in_optimization_history(direction: str) -> None: def objective(trial: Trial) -> float: return trial.suggest_float("x", 0, 1) studies = [create_study(direction=direction) for _ in range(3)] suggested_params = [0.1, 0.3, 0.2] for x, study in zip(suggested_params, studies): study.enqueue_trial({"x": x}) study.optimize(objective, n_trials=1) figure = plot_optimization_history(studies, error_bar=True) mean = np.mean(suggested_params) std = np.std(suggested_params) np.testing.assert_almost_equal(figure.data[0].y, mean) np.testing.assert_almost_equal(figure.data[2].y, mean + std) np.testing.assert_almost_equal(figure.data[3].y, mean - std)

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null

0

1

0

1

0

null

0

7

0ac4e48cf16a5788526fd72ae3eff0bd6d43a0a2

16,224

py

Python

Tests/test_integration_manage_faculty.py

avirois/ProjectManagement

9e05d1302336ca4ef32bef93e28bcc69fdad7d4f

[ "WTFPL" ]

null

Tests/test_integration_manage_faculty.py

avirois/ProjectManagement

9e05d1302336ca4ef32bef93e28bcc69fdad7d4f

[ "WTFPL" ]

3

2021-03-24T11:53:18.000Z

2021-04-05T10:20:58.000Z

Tests/test_integration_manage_faculty.py

avirois/ProjectManagement

9e05d1302336ca4ef32bef93e28bcc69fdad7d4f

[ "WTFPL" ]

null

import pytest from selenium import webdriver from time import sleep from selenium.webdriver.support.select import Select import sqlite3 from static.classes.User import User, encryptPassword, decryptPassword # Global variable # Prepare the user and password for test username_test = "test111" password_test = "Aa123456!!" institution_test = "SCE_Test" faculty_test = "Chemistry_Test" instID = 0 facID = 0 # Create new institution test newFacTest = "Software_Test" @pytest.fixture def db_prepare_manage_fac(): global instID, facID # Prepare the institution db_name = "database.db" # connect to db to prepare it before testing con = sqlite3.connect(db_name) cursor=con.cursor() # Check if institution exists sqlQueryCheckExist = "SELECT * FROM Institutions WHERE InstitutionName = (?)" sqlRes = con.execute(sqlQueryCheckExist, (institution_test,)) record = sqlRes.fetchone() # If institution does not exists create it if record == None: sqtInsertInst = "INSERT INTO Institutions (InstitutionName) VALUES (?)" cursor.execute(sqtInsertInst, (institution_test,)) instID = cursor.lastrowid else: instID = record[0] # Check if faculty exists sqlQueryCheckExist = "SELECT * FROM Faculties WHERE FacultyName = (?)" sqlRes = con.execute(sqlQueryCheckExist, (faculty_test,)) record = sqlRes.fetchone() # If faculty does not exists create it if record == None: sqlInsertFac = "INSERT INTO Faculties (FacultyName) VALUES (?)" cursor.execute(sqlInsertFac, (faculty_test,)) facID = cursor.lastrowid else: facID = record[0] # Check if institution and faculty exists in FacIn table sqlQueryCheckExist = "SELECT * FROM FacIn WHERE InstitutionID = (?) AND FacultyID = (?)" sqlRes = con.execute(sqlQueryCheckExist, (instID, facID)) record = sqlRes.fetchone() # If institution and faculty does not exists create it if record == None: sqtInsertInstFac = "INSERT INTO FacIn VALUES (?, ?)" con.execute(sqtInsertInstFac, (instID, facID)) # Check if user exists in Users table sqlQueryCheckExist = "SELECT * FROM Users WHERE UserName = (?)" sqlRes = con.execute(sqlQueryCheckExist, (username_test,)) record = sqlRes.fetchone() # If user does not exists create it if record == None: sqtInsertUser = "INSERT INTO Users VALUES (?,?, ?, ?, ?, ?, ?, 1, 0, ?)" con.execute(sqtInsertUser, (username_test, "test1", "test1", encryptPassword(password_test), instID, facID, 2, "")) # Commit the changes in users table con.commit() #---------------------------------------------------------------- yield db_name # Check if user exists sqlQueryCheckExist = "SELECT * FROM Users WHERE UserName = (?)" sqlRes = con.execute(sqlQueryCheckExist, (username_test,)) record = sqlRes.fetchone() # If user exists delete the user from DB if record != None: sqlDelete = "DELETE FROM Users WHERE UserName = (?)" sqlRes = con.execute(sqlDelete, (username_test,)) # Check if institution and faculty exists in FacIn table sqlQueryCheckExist = "SELECT * FROM FacIn WHERE InstitutionID = (?) AND FacultyID = (?)" sqlRes = con.execute(sqlQueryCheckExist, (instID, facID)) record = sqlRes.fetchone() # If faculty in institution exists delete it if record != None: sqtDelInstFac = "DELETE FROM FacIn WHERE InstitutionID = (?) AND FacultyID = (?)" con.execute(sqtDelInstFac, (instID, facID)) # Check if faculty exists sqlQueryCheckExist = "SELECT * FROM Faculties WHERE FacultyName = (?)" sqlRes = con.execute(sqlQueryCheckExist, (faculty_test,)) record = sqlRes.fetchone() # If faculty exists delete it if record != None: sqlDelFac = "DELETE FROM Faculties WHERE FacultyID = (?)" con.execute(sqlDelFac, (facID,)) # Check if institution exists sqlQueryCheckExist = "SELECT * FROM Institutions WHERE InstitutionName = (?)" sqlRes = con.execute(sqlQueryCheckExist, (institution_test,)) record = sqlRes.fetchone() # If institution exists create it if record != None: sqtDelInst = "DELETE FROM Institutions WHERE InstitutionID = (?)" con.execute(sqtDelInst, (instID,)) # Check if additional faculty exists sqlQueryCheckExist = "SELECT * FROM Faculties WHERE FacultyName = (?)" sqlRes = con.execute(sqlQueryCheckExist, (newFacTest,)) record = sqlRes.fetchone() # If faculty exists create it if record != None: sqtDelInst = "DELETE FROM Faculties WHERE FacultyID = (?)" con.execute(sqtDelInst, (record[0],)) # Commit the changes in users table con.commit() # CLose connection to DB con.close() class TestManageFaculties: def test_manage_faculties_page(self, application: str, ff_browser: webdriver.Firefox, db_prepare_manage_fac): # Run logout to clean session ff_browser.get(application + "/logout") # Open the login page ff_browser.get(application + "/login") # Get username and password elements on page username = ff_browser.find_element_by_name("username") password = ff_browser.find_element_by_name("password") # Get submit button element btnSubmit = ff_browser.find_element_by_xpath("/html/body/div[2]/form/input") # Inject username and password of test user username.send_keys(username_test) password.send_keys(password_test) # Click on submit button btnSubmit.click() # Open the control panel page ff_browser.get(application + "/controlpanel") # Get manage faculties button btnManageFaculties = ff_browser.find_element_by_xpath("/html/body/div[2]/div[1]/a[2]/button") # Click the manage faculties buttons btnManageFaculties.click() # Get manage faculties title manageFacTitle = ff_browser.find_element_by_xpath("/html/body/div[2]/h1") assert (manageFacTitle.text == "Manage Faculties:") def test_create_faculty_page(self, application: str, ff_browser: webdriver.Firefox, db_prepare_manage_fac): # Run logout to clean session ff_browser.get(application + "/logout") # Open the login page ff_browser.get(application + "/login") # Get username and password elements on page username = ff_browser.find_element_by_name("username") password = ff_browser.find_element_by_name("password") # Get submit button element btnSubmit = ff_browser.find_element_by_xpath("/html/body/div[2]/form/input") # Inject username and password of test user username.send_keys(username_test) password.send_keys(password_test) # Click on submit button btnSubmit.click() # Open the control panel page ff_browser.get(application + "/manage_faculties") # Get manage faculty button btnCreateFac = ff_browser.find_element_by_xpath("/html/body/div[2]/div[2]/a/button") # Click the manage institution buttons btnCreateFac.click() # Get manage institution title createFacTitle = ff_browser.find_element_by_xpath("/html/body/div[2]/h1") assert (createFacTitle.text == "Add new Faculty:") def test_create_new_faculty(self, application: str, ff_browser: webdriver.Firefox, db_prepare_manage_fac): # Run logout to clean session ff_browser.get(application + "/logout") # Open the login page ff_browser.get(application + "/login") # Get username and password elements on page username = ff_browser.find_element_by_name("username") password = ff_browser.find_element_by_name("password") # Get submit button element btnSubmit = ff_browser.find_element_by_xpath("/html/body/div[2]/form/input") # Inject username and password of test user username.send_keys(username_test) password.send_keys(password_test) # Click on submit button btnSubmit.click() # Open the create faculty page ff_browser.get(application + "/create_faculty") # Get faculty name input facName = ff_browser.find_element_by_xpath("/html/body/div[2]/form/p/input") # Send value for new faculty facName.send_keys(newFacTest) # Get save faculty button btnSaveFac = ff_browser.find_element_by_xpath("/html/body/div[2]/form/input") # Click on submit button btnSaveFac.click() # Get title element titleSaved = ff_browser.find_element_by_xpath("/html/body/div[2]/h1") assert (titleSaved.text == "Manage Faculties:") def test_create_new_faculty_wrong_name(self, application: str, ff_browser: webdriver.Firefox, db_prepare_manage_fac): # Run logout to clean session ff_browser.get(application + "/logout") # Open the login page ff_browser.get(application + "/login") # Get username and password elements on page username = ff_browser.find_element_by_name("username") password = ff_browser.find_element_by_name("password") # Get submit button element btnSubmit = ff_browser.find_element_by_xpath("/html/body/div[2]/form/input") # Inject username and password of test user username.send_keys(username_test) password.send_keys(password_test) # Click on submit button btnSubmit.click() # Open the create faculty page ff_browser.get(application + "/create_faculty") # Get faculty name input facName = ff_browser.find_element_by_xpath("/html/body/div[2]/form/p/input") # Send value for new faculty facName.send_keys(faculty_test) # Get save faculty button btnSaveFac = ff_browser.find_element_by_xpath("/html/body/div[2]/form/input") # Click on submit button btnSaveFac.click() # Get title element titleWrongName = ff_browser.find_element_by_xpath("/html/body/div[2]/p[1]") assert (titleWrongName.text == "Faculty already exists") def test_edit_faculty_page(self, application: str, ff_browser: webdriver.Firefox, db_prepare_manage_fac): # Run logout to clean session ff_browser.get(application + "/logout") # Open the login page ff_browser.get(application + "/login") # Get username and password elements on page username = ff_browser.find_element_by_name("username") password = ff_browser.find_element_by_name("password") # Get submit button element btnSubmit = ff_browser.find_element_by_xpath("/html/body/div[2]/form/input") # Inject username and password of test user username.send_keys(username_test) password.send_keys(password_test) # Click on submit button btnSubmit.click() # Open the control panel page ff_browser.get(application + "/manage_faculties") # Get selection of faculty box faculty = Select(ff_browser.find_element_by_name("faculty")) # Select the faculty for test faculty.select_by_visible_text(faculty_test) # Get edit faculty button btnEditFac = ff_browser.find_element_by_xpath("/html/body/div[2]/div[1]/a/button") # Click the edit faculty buttons btnEditFac.click() # Get manage faculty title editFacTitle = ff_browser.find_element_by_xpath("/html/body/div[2]/h1") assert (editFacTitle.text == "Edit Faculty:") def test_edit_faculty(self, application: str, ff_browser: webdriver.Firefox, db_prepare_manage_fac): # Run logout to clean session ff_browser.get(application + "/logout") # Open the login page ff_browser.get(application + "/login") # Get username and password elements on page username = ff_browser.find_element_by_name("username") password = ff_browser.find_element_by_name("password") # Get submit button element btnSubmit = ff_browser.find_element_by_xpath("/html/body/div[2]/form/input") # Inject username and password of test user username.send_keys(username_test) password.send_keys(password_test) # Click on submit button btnSubmit.click() # Open the edit faculty page ff_browser.get(application + "/edit_faculty/" + str(facID)) # Get faculty name input facName = ff_browser.find_element_by_xpath("/html/body/div[2]/form/p/input") # Clear facName before entering value facName.clear() # Send value for new faculy facName.send_keys(newFacTest) # Get save faculty button btnSaveFac = ff_browser.find_element_by_xpath("/html/body/div[2]/form/input") # Click on submit button btnSaveFac.click() # Get title element titleSaved = ff_browser.find_element_by_xpath("/html/body/div[2]/h1") assert (titleSaved.text == "Manage Faculties:") def test_edit_faculty_existing_name(self, application: str, ff_browser: webdriver.Firefox, db_prepare_manage_fac): # Run logout to clean session ff_browser.get(application + "/logout") # Open the login page ff_browser.get(application + "/login") # Get username and password elements on page username = ff_browser.find_element_by_name("username") password = ff_browser.find_element_by_name("password") # Get submit button element btnSubmit = ff_browser.find_element_by_xpath("/html/body/div[2]/form/input") # Inject username and password of test user username.send_keys(username_test) password.send_keys(password_test) # Click on submit button btnSubmit.click() # Open the edit faculty page ff_browser.get(application + "/edit_faculty/" + str(facID)) # Get faculty name input facName = ff_browser.find_element_by_xpath("/html/body/div[2]/form/p/input") # Clear facName before entering value facName.clear() # Send value for new faculty facName.send_keys(faculty_test) # Get save faculty button btnSaveFac = ff_browser.find_element_by_xpath("/html/body/div[2]/form/input") # Click on submit button btnSaveFac.click() # Get title element titleWrongName = ff_browser.find_element_by_xpath("/html/body/div[2]/p[1]") assert (titleWrongName.text == "Faculty already exists") def test_not_admin_manage_faculty_page(self, application: str, ff_browser: webdriver.Firefox, db_prepare_manage_fac): # Run logout to clean session ff_browser.get(application + "/logout") # Open the control panel page ff_browser.get(application + "/manage_faculties") # Get manage institution title mainTitle = ff_browser.find_element_by_xpath("/html/body/div[2]/h1") assert (mainTitle.text == "Hello") def test_not_admin_create_faculty_page(self, application: str, ff_browser: webdriver.Firefox, db_prepare_manage_fac): # Run logout to clean session ff_browser.get(application + "/logout") # Open the control panel page ff_browser.get(application + "/create_faculty") # Get manage institution title mainTitle = ff_browser.find_element_by_xpath("/html/body/div[2]/h1") assert (mainTitle.text == "Hello") def test_not_admin_edit_faculty_page(self, application: str, ff_browser: webdriver.Firefox, db_prepare_manage_fac): # Run logout to clean session ff_browser.get(application + "/logout") # Open the control panel page ff_browser.get(application + "/edit_faculty/" + str(facID)) # Get manage institution title mainTitle = ff_browser.find_element_by_xpath("/html/body/div[2]/h1") assert (mainTitle.text == "Hello")

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0.239645

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124

35.657143

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0.047847

1

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0.08134

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null

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null

0

1

0

7

0ad17b7bcbc1a6ba9d64dbbf0e5406ce4ae767cc

7,220

py

Python

webapi/tests/test_post.py

xqhgit/fastapi-vue-blog

4f90869c4b8078205239be38d79ac9be6dcb56b8

[ "MIT" ]

3

2022-03-10T08:43:24.000Z

2022-03-26T09:10:29.000Z

webapi/tests/test_post.py

xqhgit/fastapi-vue-blog

4f90869c4b8078205239be38d79ac9be6dcb56b8

[ "MIT" ]

null

webapi/tests/test_post.py

xqhgit/fastapi-vue-blog

4f90869c4b8078205239be38d79ac9be6dcb56b8

[ "MIT" ]

2

2022-03-11T03:14:38.000Z

2022-03-19T07:27:56.000Z

import json import pytest from starlette.testclient import TestClient from webapi.db.dals.post_dal import Post, PostDAL def test_get_posts(test_app: TestClient, monkeypatch): data = { "total": 2, "items": [ { "id": 1, "title": "a", "description": "a", "timestamp": "2021-09-20T17:03:06", "can_comment": True, "is_published": True, "categories": [ ], "comments": 0 }, { "id": 2, "title": "b", "description": "b", "timestamp": "2021-09-25T15:02:07", "can_comment": True, "is_published": True, "categories": [ ], "comments": 0 } ] } async def mock_count(self, title=None): return 2 async def mock_get_limit(self, title=None, *, page, limit): d = [ { "id": 1, "title": "a", "description": "a", "timestamp": "2021-09-20T17:03:06", "can_comment": True, "is_published": True, }, { "id": 2, "title": "b", "description": "b", "timestamp": "2021-09-25T15:02:07", "can_comment": True, "is_published": True, } ] return [Post(**i) for i in d] monkeypatch.setattr(PostDAL, "count", mock_count) monkeypatch.setattr(PostDAL, "get_limit", mock_get_limit) response = test_app.get(url='/api/posts/') assert response.status_code == 200 assert response.json() == data def test_get_post(test_app: TestClient, monkeypatch): data = { "id": 1, "title": "a", "description": "aaaaaaaaaaaaaaaa aaaaaaaaaaaaaaaa aaaaaaaaaaaaaaaa aaaaaaaaaaaaaaaa", "body": "a", "body_html": "a", "timestamp": "2021-09-20T17:03:06", "can_comment": True, "is_published": True, "categories": [ { "id": 8, "name": "Go" }, { "id": 13, "name": "Python0" } ], "comments": [] } async def mock_get_by_id(self, record_id): return data monkeypatch.setattr(PostDAL, 'get_by_id', mock_get_by_id) response = test_app.get(url='/api/posts/1/') assert response.status_code == 200 assert response.json() == data def test_create_post(test_app_token: TestClient, monkeypatch): data = { "id": 1, "title": "test", "description": "aaaaaaaaaaaaaaaa aaaaaaaaaaaaaaaa aaaaaaaaaaaaaaaa aaaaaaaaaaaaaaaa", "body": "a", "body_html": "a", "can_comment": True, "is_published": True } create_data = { **data, "categories": [] } result = { "id": 1, "title": "test", } async def mock_get_by_title(self, title): return [] async def mock_create(self, obj_in): return Post(**data) monkeypatch.setattr(PostDAL, 'get_by_title', mock_get_by_title) monkeypatch.setattr(PostDAL, 'create', mock_create) response = test_app_token.post(url='/api/posts/', json=create_data) assert response.status_code == 201 assert response.json() == result def test_create_post_no_token(test_app: TestClient, monkeypatch): data = { "id": 1, "title": "test", "description": "aaaaaaaaaaaaaaaa aaaaaaaaaaaaaaaa aaaaaaaaaaaaaaaa aaaaaaaaaaaaaaaa", "body": "a", "can_comment": True, "is_published": True } create_data = { **data, "categories": [] } result = { "id": 1, "title": "test", } async def mock_get_by_title(self, title): return [] async def mock_create(self, obj_in): return Post(**data) monkeypatch.setattr(PostDAL, 'get_by_title', mock_get_by_title) monkeypatch.setattr(PostDAL, 'create', mock_create) response = test_app.post(url='/api/posts/', json=create_data) assert response.status_code == 401 def test_update_post(test_app_token: TestClient, monkeypatch): data = { "id": 1, "title": "test", "description": "aaaaaaaaaaaaaaaa aaaaaaaaaaaaaaaa aaaaaaaaaaaaaaaa aaaaaaaaaaaaaaaa", "body": "a", "timestamp": "2021-09-20T17:03:06", "can_comment": True, "is_published": True } update_data = { "title": "test", "description": "aaaaaaaaaaaaaaaa aaaaaaaaaaaaaaaa aaaaaaaaaaaaaaaa aaaaaaaaaaaaaaaa", "body": "a", "can_comment": True, "is_published": True, "categories": [] } result = { "id": 1, "title": "test", } async def mock_get_by_id(self, title): return [1, ] async def mock_update(self, db_obj, obj_in): return Post(**data) monkeypatch.setattr(PostDAL, 'get_by_id', mock_get_by_id) monkeypatch.setattr(PostDAL, 'update', mock_update) response = test_app_token.put(url='/api/posts/1/', json=update_data) assert response.status_code == 200 assert response.json() == result def test_update_post_no_toke(test_app: TestClient, monkeypatch): data = { "id": 1, "title": "test", "description": "aaaaaaaaaaaaaaaa aaaaaaaaaaaaaaaa aaaaaaaaaaaaaaaa aaaaaaaaaaaaaaaa", "body": "a", "timestamp": "2021-09-20T17:03:06", "can_comment": True, "is_published": True } update_data = { "title": "test", "description": "aaaaaaaaaaaaaaaa aaaaaaaaaaaaaaaa aaaaaaaaaaaaaaaa aaaaaaaaaaaaaaaa", "body": "a", "can_comment": True, "is_published": True, "categories": [] } result = { "id": 1, "title": "test", } async def mock_get_by_id(self, title): return [1, ] async def mock_update(self, db_obj, obj_in): return Post(**data) monkeypatch.setattr(PostDAL, 'get_by_id', mock_get_by_id) monkeypatch.setattr(PostDAL, 'update', mock_update) response = test_app.put(url='/api/posts/1/', json=update_data) assert response.status_code == 401 def test_delete_post(test_app_token: TestClient, monkeypatch): async def mock_get_by_id(self, title): return [1, ] async def mock_delete(self, db_obj): pass monkeypatch.setattr(PostDAL, 'get_by_id', mock_get_by_id) monkeypatch.setattr(PostDAL, 'delete', mock_delete) response = test_app_token.delete(url='/api/posts/1/') assert response.status_code == 200 def test_delete_post_no_token(test_app: TestClient, monkeypatch): async def mock_get_by_id(self, title): return [1, ] async def mock_delete(self, db_obj): pass monkeypatch.setattr(PostDAL, 'get_by_id', mock_get_by_id) monkeypatch.setattr(PostDAL, 'delete', mock_delete) response = test_app.delete(url='/api/posts/1/') assert response.status_code == 401

27.245283

93

0.556094

769

7,220

5.0013

0.113134

0.174727

0.046802

0.045762

0.887416

0.878055

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0.782631

0

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7,220

264

94

27.348485

0.743858

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false

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null

0

1

0

1

0

null

0

7

7c60532d800d8584b5a0f2a15210031ce4d6204b

11,080

py

Python

tf_routes/visualizations.py

jalhackl/tf_routes

25ce3bca61c52a537b2d0dd08696e9a8f54ab29b

[ "MIT" ]

1

2022-02-21T09:23:50.000Z

tf_routes/visualizations.py

jalhackl/tf_routes

25ce3bca61c52a537b2d0dd08696e9a8f54ab29b

[ "MIT" ]

1

2022-02-21T21:41:43.000Z

tf_routes/visualizations.py

jalhackl/tf_routes

25ce3bca61c52a537b2d0dd08696e9a8f54ab29b

[ "MIT" ]

null

from rdkit import Chem from rdkit.Chem import Draw from rdkit.Chem.Draw import IPythonConsole IPythonConsole.ipython_useSVG = False import logging from colorsys import hls_to_rgb from copy import deepcopy from rdkit.Chem import AllChem, Draw from rdkit.Chem.Draw import IPythonConsole, rdMolDraw2D logger = logging.getLogger(__name__) def _show_common_core_gradient( mol, highlight, mutationl, percomponent=False, numbers=False ): """ Draw the molecule with color gradient for mutation order highlight: list indicating the ccore, fct highlights the common core in black mutationl: list indicating the mutation order, fct draws color gradient percompoentn: boolean; one color gradient for each component (False) or one for all dummy atoms - currently, the components are processed successively, so perhaps True is better suited to illustrate the mutation order numbers: boolean; show also numbers showing the mutation order """ # https://rdkit.blogspot.com/2015/02/new-drawing-code.html mol = deepcopy(mol) AllChem.Compute2DCoords(mol) drawer = rdMolDraw2D.MolDraw2DSVG(800, 800) # new drawer.drawOptions().setHighlightColour((0.8, 0.8, 0.8)) drawer.SetFontSize(0.3) opts = drawer.drawOptions() for i in mol.GetAtoms(): opts.atomLabels[i.GetIdx()] = ( str(i.GetProp("atom_index")) + ":" + i.GetProp("atom_type") ) colours = [(0.8, 0.0, 0.8), (0, 0.15, 0), (0, 0.8, 0.8), (0, 0, 0.8)] atom_cols = {} for i, at in enumerate(highlight): atom_cols[at] = colours[1] if percomponent == False: mutationlflat = [item for sublist in mutationl for item in sublist] # colour gradient rcolours = rainbow_color_gradient(n=len(mutationlflat)) colours = [(0.8, 0.0, 0.8), (0.8, 0.8, 0), (0, 0.8, 0.8), (0, 0, 0.8)] for i, at in enumerate(mutationlflat): atom_cols[at] = rcolours[i] if numbers == True: atomlist = mol.GetAtoms() for i, at in enumerate(mutationlflat): mnr = i + 1 lbl = "%.0f" % mnr atomlist[at].SetProp("atomNote", lbl) mutationlflat = mutationlflat + list(highlight) drawer.DrawMolecule( mol, highlightAtoms=mutationlflat, highlightAtomColors=atom_cols ) Draw.DrawingOptions.includeAtomNumbers = False drawer.FinishDrawing() svg = drawer.GetDrawingText().replace("svg:", "") img = Draw.MolToImage( mol, highlightAtoms=mutationlflat, highlightAtomColors=atom_cols, useSVG=False, ) else: mutationlflat = [item for sublist in mutationl for item in sublist] colours = [(0.8, 0.0, 0.8), (0.8, 0.8, 0), (0, 0.8, 0.8), (0, 0, 0.8)] componentcount = 0 for mutcomp in mutationl: rcolours = rainbow_color_gradient(n=len(mutcomp)) for i, at in enumerate(mutcomp): atom_cols[at] = rcolours[i] componentcount = componentcount + 1 if numbers == True: atomlist = mol.GetAtoms() for i, at in enumerate(mutationlflat): mnr = i + 1 lbl = "%.0f" % mnr atomlist[at].SetProp("atomNote", lbl) mutationlflat = mutationlflat + list(highlight) drawer.DrawMolecule( mol, highlightAtoms=mutationlflat, highlightAtomColors=atom_cols ) Draw.DrawingOptions.includeAtomNumbers = False drawer.FinishDrawing() svg = drawer.GetDrawingText().replace("svg:", "") img = Draw.MolToImage( mol, highlightAtoms=mutationlflat, highlightAtomColors=atom_cols, useSVG=False, ) return svg def _show_common_core_gradient_write(mol, highlight, mutationl, percomponent=False): """ almost identical to _show_common_core_gradient_write, used for creating visualizations to write in files Draw the molecule with color gradient for mutation order highlight: list indicating the ccore, fct highlights the common core in black mutationl: list indicating the mutation order, fct draws color gradient percompoentn: boolean; one color gradient for each component (False) or one for all dummy atoms - currently, the components are processed successively, so perhaps True is better suited to illustrate the mutation order numbers: boolean; show also numbers showing the mutation order legendtext: string; legend to be placed below molecule """ # https://rdkit.blogspot.com/2015/02/new-drawing-code.html mol = deepcopy(mol) AllChem.Compute2DCoords(mol) drawer = rdMolDraw2D.MolDraw2DSVG(300, 300) drawer.drawOptions().setHighlightColour((0.8, 0.8, 0.8)) drawer.SetFontSize(0.3) opts = drawer.drawOptions() for i in mol.GetAtoms(): opts.atomLabels[i.GetIdx()] = ( str(i.GetProp("atom_index")) + ":" + i.GetProp("atom_type") ) colours = [(0.8, 0.0, 0.8), (0, 0.15, 0), (0, 0.8, 0.8), (0, 0, 0.8)] atom_cols = {} for i, at in enumerate(highlight): atom_cols[at] = colours[1] if percomponent == False: mutationlflat = [item for sublist in mutationl for item in sublist] # rainbow colors rcolours = rainbow_color_gradient(n=len(mutationlflat)) colours = [(0.8, 0.0, 0.8), (0.8, 0.8, 0), (0, 0.8, 0.8), (0, 0, 0.8)] for i, at in enumerate(mutationlflat): atom_cols[at] = rcolours[i] mutationlflat = mutationlflat + list(highlight) drawer.DrawMolecule( mol, highlightAtoms=mutationlflat, highlightAtomColors=atom_cols ) Draw.DrawingOptions.includeAtomNumbers = False drawer.FinishDrawing() svg = drawer.GetDrawingText().replace("svg:", "") img = Draw.MolToImage( mol, highlightAtoms=mutationlflat, highlightAtomColors=atom_cols, useSVG=False, ) else: mutationlflat = [item for sublist in mutationl for item in sublist] colours = [(0.8, 0.0, 0.8), (0.8, 0.8, 0), (0, 0.8, 0.8), (0, 0, 0.8)] componentcount = 0 for mutcomp in mutationl: rcolours = rainbow_color_gradient(n=len(mutcomp)) for i, at in enumerate(mutcomp): atom_cols[at] = rcolours[i] componentcount = componentcount + 1 mutationlflat = mutationlflat + list(highlight) drawer.DrawMolecule( mol, highlightAtoms=mutationlflat, highlightAtomColors=atom_cols ) Draw.DrawingOptions.includeAtomNumbers = False drawer.FinishDrawing() svg = drawer.GetDrawingText().replace("svg:", "") img = Draw.MolToImage( mol, highlightAtoms=mutationlflat, highlightAtomColors=atom_cols, useSVG=False, ) return svg, img def animated_visualization_3d_v1(mol, mutationl, ccoremol, hits): """ animated visualization using py3Dmol """ import time import py3Dmol ccoremol ccoretemplate = ccoremol AllChem.EmbedMolecule(ccoretemplate) m_match = hits molsreduced = [] flatorder = [item for items in mutationl for item in items] for i in range(len(flatorder)): mol1newembed = AllChem.ConstrainedEmbed(mol, ccoretemplate) mol1ed = Chem.EditableMol(mol1newembed) currentorderlist = flatorder[0 : i + 1] currentorderlist.sort(reverse=True) for j in currentorderlist: mol1ed.RemoveAtom(j) molback = mol1ed.GetMol() molsreduced.append(molback) ccoreblock = Chem.MolToMolBlock(ccoretemplate, kekulize=False) molblocksreduced = [] for i in molsreduced: mblock = Chem.MolToMolBlock(i, kekulize=False) molblocksreduced.append(mblock) view = py3Dmol.view() counter = 0 for i in molblocksreduced: view.removeAllModels() view.addModel(i, "mol") view.setStyle({"model": 0}, {"stick": {}}) view.setBackgroundColor("0xeeeeee") if counter == 0: view.zoomTo() counter = counter + 1 view.update() time.sleep(1) def animated_visualization_3d_v2(mol, mutationl, ccoremol, hits): """ animated visualization using py3Dmol common core molecules are visualized as spheres """ import time import py3Dmol from rdkit.Chem import TemplateAlign m_match = hits ccoremol ccoretemplate = ccoremol AllChem.EmbedMolecule(ccoretemplate) mol1newembed = AllChem.ConstrainedEmbed(mol, ccoretemplate) molsreduced = [] flatorder = [item for items in mutationl for item in items] newhits = mol.GetSubstructMatch(ccoremol) mol.GetNumConformers() counter = 0 for i in range(mol.GetNumAtoms()): for j in newhits: if j == i: newpos = ccoremol.GetConformer().GetAtomPosition(counter) mol.GetConformer().SetAtomPosition(i, newpos) counter = counter + 1 for i in range(len(flatorder)): mol1newembed = mol mol1newembed = AllChem.ConstrainedEmbed(mol1newembed, ccoretemplate) mol1newembed.GetNumConformers() mol1ed = Chem.EditableMol(mol1newembed) currentorderlist = flatorder[0 : i + 1] currentorderlist.sort(reverse=True) for j in currentorderlist: mol1ed.RemoveAtom(j) molback = mol1ed.GetMol() molsreduced.append(molback) ccoreblock = Chem.MolToMolBlock(ccoretemplate, kekulize=False) molblocksreduced = [] for i in molsreduced: mblock = Chem.MolToMolBlock(i, kekulize=False) molblocksreduced.append(mblock) view = py3Dmol.view() counter = 0 for i in molblocksreduced: view.removeAllModels() view.addModel(i, "mol") view.setStyle({"model": 0}, {"stick": {}}) view.addModel(ccoreblock, "mol") # view.setStyle({'model':1},{'sphere':{'color':'black', 'radius':1.8}}) view.setStyle({"model": 1}, {"sphere": {"radius": 0.8}}) view.setBackgroundColor("0xeeeeee") if counter == 0: view.zoomTo() counter = counter + 1 view.update() time.sleep(1) def convertgraphics(img1, img2): """ converting files to appropriate format for writing in file """ from io import BytesIO from cairosvg import svg2png imgn1 = svg2png(img1) imgn2 = svg2png(img2) import PIL.Image imo1 = PIL.Image.open(BytesIO(imgn1)) imo2 = PIL.Image.open(BytesIO(imgn2)) return imo1, imo2 def rainbow_color_gradient(n=10, end=1 / 3): # end=n/40 # end = 1/3 if n > 1: return [hls_to_rgb(end * i / (n - 1), 0.5, 1) for i in range(n)] else: return [hls_to_rgb(end * i / (n), 0.5, 1) for i in range(n)]

27.493797

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null

0

7

7c8d13b1c87077b4c4f2ff141fbf7b1ee74251d6

53,005

py

Python

ngraph/python/tests/test_ngraph/test_create_op.py

AnastasiaKazantaeva/openvino

ec48fcb29bef94cca480573110a598afc3515019

[ "Apache-2.0" ]

null

ngraph/python/tests/test_ngraph/test_create_op.py

AnastasiaKazantaeva/openvino

ec48fcb29bef94cca480573110a598afc3515019

[ "Apache-2.0" ]

6

2022-02-11T15:01:22.000Z

2022-02-21T13:24:09.000Z

ngraph/python/tests/test_ngraph/test_create_op.py

AnastasiaKazantaeva/openvino

ec48fcb29bef94cca480573110a598afc3515019

[ "Apache-2.0" ]

null

# ****************************************************************************** # Copyright 2017-2020 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. # ****************************************************************************** import numpy as np import pytest from _pyngraph import PartialShape import ngraph as ng import ngraph.opset1 as ng_opset1 from ngraph.impl import Type from tests import skip_segfault np_types = [np.float32, np.int32] integral_np_types = [ np.int8, np.int16, np.int32, np.int64, np.uint8, np.uint16, np.uint32, np.uint64, ] @pytest.mark.parametrize("dtype", np_types) def test_binary_convolution(dtype): strides = np.array([1, 1]) pads_begin = np.array([0, 0]) pads_end = np.array([0, 0]) dilations = np.array([1, 1]) mode = "xnor-popcount" pad_value = 0.0 input0_shape = [1, 1, 9, 9] input1_shape = [1, 1, 3, 3] expected_shape = [1, 1, 7, 7] parameter_input0 = ng.parameter(input0_shape, name="Input0", dtype=dtype) parameter_input1 = ng.parameter(input1_shape, name="Input1", dtype=dtype) node = ng.binary_convolution( parameter_input0, parameter_input1, strides, pads_begin, pads_end, dilations, mode, pad_value, ) assert node.get_type_name() == "BinaryConvolution" assert node.get_output_size() == 1 assert list(node.get_output_shape(0)) == expected_shape @pytest.mark.parametrize("dtype", np_types) def test_ctc_greedy_decoder(dtype): input0_shape = [20, 8, 128] input1_shape = [20, 8] expected_shape = [8, 20, 1, 1] parameter_input0 = ng.parameter(input0_shape, name="Input0", dtype=dtype) parameter_input1 = ng.parameter(input1_shape, name="Input1", dtype=dtype) node = ng.ctc_greedy_decoder(parameter_input0, parameter_input1) assert node.get_type_name() == "CTCGreedyDecoder" assert node.get_output_size() == 1 assert list(node.get_output_shape(0)) == expected_shape @pytest.mark.parametrize("dtype", np_types) def test_deformable_convolution(dtype): strides = np.array([1, 1]) pads_begin = np.array([0, 0]) pads_end = np.array([0, 0]) dilations = np.array([1, 1]) input0_shape = [1, 1, 9, 9] input1_shape = [1, 1, 9, 9] input2_shape = [1, 1, 3, 3] expected_shape = [1, 1, 7, 7] parameter_input0 = ng.parameter(input0_shape, name="Input0", dtype=dtype) parameter_input1 = ng.parameter(input1_shape, name="Input1", dtype=dtype) parameter_input2 = ng.parameter(input2_shape, name="Input2", dtype=dtype) node = ng.deformable_convolution( parameter_input0, parameter_input1, parameter_input2, strides, pads_begin, pads_end, dilations, ) assert node.get_type_name() == "DeformableConvolution" assert node.get_output_size() == 1 assert list(node.get_output_shape(0)) == expected_shape @pytest.mark.parametrize("dtype", np_types) def test_deformable_psroi_pooling(dtype): output_dim = 8 spatial_scale = 0.0625 group_size = 7 mode = "bilinear_deformable" spatial_bins_x = 4 spatial_bins_y = 4 trans_std = 0.1 part_size = 7 input0_shape = [1, 392, 38, 63] input1_shape = [300, 5] input2_shape = [300, 2, 7, 7] expected_shape = [300, 8, 7, 7] parameter_input0 = ng.parameter(input0_shape, name="Input0", dtype=dtype) parameter_input1 = ng.parameter(input1_shape, name="Input1", dtype=dtype) parameter_input2 = ng.parameter(input2_shape, name="Input2", dtype=dtype) node = ng.deformable_psroi_pooling( parameter_input0, parameter_input1, output_dim, spatial_scale, group_size, mode, spatial_bins_x, spatial_bins_y, trans_std, part_size, offsets=parameter_input2, ) assert node.get_type_name() == "DeformablePSROIPooling" assert node.get_output_size() == 1 assert list(node.get_output_shape(0)) == expected_shape @pytest.mark.parametrize("dtype", np_types) def test_floor_mod(dtype): input0_shape = [8, 1, 6, 1] input1_shape = [7, 1, 5] expected_shape = [8, 7, 6, 5] parameter_input0 = ng.parameter(input0_shape, name="Input0", dtype=dtype) parameter_input1 = ng.parameter(input1_shape, name="Input1", dtype=dtype) node = ng.floor_mod(parameter_input0, parameter_input1) assert node.get_type_name() == "FloorMod" assert node.get_output_size() == 1 assert list(node.get_output_shape(0)) == expected_shape @pytest.mark.parametrize("dtype", np_types) def test_gather_tree(dtype): input0_shape = [100, 1, 10] input1_shape = [100, 1, 10] input2_shape = [1] input3_shape = [] expected_shape = [100, 1, 10] parameter_input0 = ng.parameter(input0_shape, name="Input0", dtype=dtype) parameter_input1 = ng.parameter(input1_shape, name="Input1", dtype=dtype) parameter_input2 = ng.parameter(input2_shape, name="Input2", dtype=dtype) parameter_input3 = ng.parameter(input3_shape, name="Input3", dtype=dtype) node = ng.gather_tree(parameter_input0, parameter_input1, parameter_input2, parameter_input3) assert node.get_type_name() == "GatherTree" assert node.get_output_size() == 1 assert list(node.get_output_shape(0)) == expected_shape @pytest.mark.parametrize("dtype", [np.float32, np.float64]) def test_lstm_cell_operator(dtype): batch_size = 1 input_size = 16 hidden_size = 128 X_shape = [batch_size, input_size] H_t_shape = [batch_size, hidden_size] C_t_shape = [batch_size, hidden_size] W_shape = [4 * hidden_size, input_size] R_shape = [4 * hidden_size, hidden_size] B_shape = [4 * hidden_size] parameter_X = ng.parameter(X_shape, name="X", dtype=dtype) parameter_H_t = ng.parameter(H_t_shape, name="H_t", dtype=dtype) parameter_C_t = ng.parameter(C_t_shape, name="C_t", dtype=dtype) parameter_W = ng.parameter(W_shape, name="W", dtype=dtype) parameter_R = ng.parameter(R_shape, name="R", dtype=dtype) parameter_B = ng.parameter(B_shape, name="B", dtype=dtype) expected_shape = [1, 128] node_default = ng.lstm_cell( parameter_X, parameter_H_t, parameter_C_t, parameter_W, parameter_R, parameter_B, hidden_size, ) assert node_default.get_type_name() == "LSTMCell" assert node_default.get_output_size() == 2 assert list(node_default.get_output_shape(0)) == expected_shape assert list(node_default.get_output_shape(1)) == expected_shape activations = ["tanh", "Sigmoid", "RELU"] activation_alpha = [1.0, 2.0, 3.0] activation_beta = [3.0, 2.0, 1.0] clip = 0.5 node_param = ng.lstm_cell( parameter_X, parameter_H_t, parameter_C_t, parameter_W, parameter_R, parameter_B, hidden_size, activations, activation_alpha, activation_beta, clip, ) assert node_param.get_type_name() == "LSTMCell" assert node_param.get_output_size() == 2 assert list(node_param.get_output_shape(0)) == expected_shape assert list(node_param.get_output_shape(1)) == expected_shape @pytest.mark.parametrize("dtype", [np.float32, np.float64]) def test_lstm_cell_operator_opset1(dtype): batch_size = 1 input_size = 16 hidden_size = 128 X_shape = [batch_size, input_size] H_t_shape = [batch_size, hidden_size] C_t_shape = [batch_size, hidden_size] W_shape = [4 * hidden_size, input_size] R_shape = [4 * hidden_size, hidden_size] B_shape = [4 * hidden_size] parameter_X = ng.parameter(X_shape, name="X", dtype=dtype) parameter_H_t = ng.parameter(H_t_shape, name="H_t", dtype=dtype) parameter_C_t = ng.parameter(C_t_shape, name="C_t", dtype=dtype) parameter_W = ng.parameter(W_shape, name="W", dtype=dtype) parameter_R = ng.parameter(R_shape, name="R", dtype=dtype) parameter_B = ng.parameter(B_shape, name="B", dtype=dtype) expected_shape = [1, 128] node_default = ng_opset1.lstm_cell( parameter_X, parameter_H_t, parameter_C_t, parameter_W, parameter_R, parameter_B, hidden_size, ) assert node_default.get_type_name() == "LSTMCell" assert node_default.get_output_size() == 2 assert list(node_default.get_output_shape(0)) == expected_shape assert list(node_default.get_output_shape(1)) == expected_shape activations = ["tanh", "Sigmoid", "RELU"] activation_alpha = [1.0, 2.0, 3.0] activation_beta = [3.0, 2.0, 1.0] clip = 0.5 node_param = ng_opset1.lstm_cell( parameter_X, parameter_H_t, parameter_C_t, parameter_W, parameter_R, parameter_B, hidden_size, activations, activation_alpha, activation_beta, clip, ) assert node_param.get_type_name() == "LSTMCell" assert node_param.get_output_size() == 2 assert list(node_param.get_output_shape(0)) == expected_shape assert list(node_param.get_output_shape(1)) == expected_shape @pytest.mark.parametrize("dtype", [np.float32, np.float64]) def test_lstm_sequence_operator_bidirectional_opset1(dtype): batch_size = 1 input_size = 16 hidden_size = 128 num_directions = 2 seq_length = 2 X_shape = [batch_size, seq_length, input_size] H_t_shape = [batch_size, num_directions, hidden_size] C_t_shape = [batch_size, num_directions, hidden_size] seq_len_shape = [batch_size] W_shape = [num_directions, 4 * hidden_size, input_size] R_shape = [num_directions, 4 * hidden_size, hidden_size] B_shape = [num_directions, 4 * hidden_size] parameter_X = ng.parameter(X_shape, name="X", dtype=dtype) parameter_H_t = ng.parameter(H_t_shape, name="H_t", dtype=dtype) parameter_C_t = ng.parameter(C_t_shape, name="C_t", dtype=dtype) parameter_seq_len = ng.parameter(seq_len_shape, name="seq_len", dtype=np.int32) parameter_W = ng.parameter(W_shape, name="W", dtype=dtype) parameter_R = ng.parameter(R_shape, name="R", dtype=dtype) parameter_B = ng.parameter(B_shape, name="B", dtype=dtype) direction = "BIDIRECTIONAL" node = ng_opset1.lstm_sequence( parameter_X, parameter_H_t, parameter_C_t, parameter_seq_len, parameter_W, parameter_R, parameter_B, hidden_size, direction, ) assert node.get_type_name() == "LSTMSequence" assert node.get_output_size() == 3 activations = ["RELU", "tanh", "Sigmoid"] activation_alpha = [1.0, 2.0, 3.0] activation_beta = [3.0, 2.0, 1.0] clip = 1.22 node_param = ng_opset1.lstm_sequence( parameter_X, parameter_H_t, parameter_C_t, parameter_seq_len, parameter_W, parameter_R, parameter_B, hidden_size, direction, activations, activation_alpha, activation_beta, clip, ) assert node_param.get_type_name() == "LSTMSequence" assert node_param.get_output_size() == 3 @pytest.mark.parametrize("dtype", [np.float32, np.float64]) def test_lstm_sequence_operator_reverse_opset1(dtype): batch_size = 2 input_size = 4 hidden_size = 3 num_directions = 1 seq_length = 2 X_shape = [batch_size, seq_length, input_size] H_t_shape = [batch_size, num_directions, hidden_size] C_t_shape = [batch_size, num_directions, hidden_size] seq_len_shape = [batch_size] W_shape = [num_directions, 4 * hidden_size, input_size] R_shape = [num_directions, 4 * hidden_size, hidden_size] B_shape = [num_directions, 4 * hidden_size] parameter_X = ng.parameter(X_shape, name="X", dtype=dtype) parameter_H_t = ng.parameter(H_t_shape, name="H_t", dtype=dtype) parameter_C_t = ng.parameter(C_t_shape, name="C_t", dtype=dtype) parameter_seq_len = ng.parameter(seq_len_shape, name="seq_len", dtype=np.int32) parameter_W = ng.parameter(W_shape, name="W", dtype=dtype) parameter_R = ng.parameter(R_shape, name="R", dtype=dtype) parameter_B = ng.parameter(B_shape, name="B", dtype=dtype) direction = "REVERSE" node_default = ng_opset1.lstm_sequence( parameter_X, parameter_H_t, parameter_C_t, parameter_seq_len, parameter_W, parameter_R, parameter_B, hidden_size, direction, ) assert node_default.get_type_name() == "LSTMSequence" assert node_default.get_output_size() == 3 activations = ["RELU", "tanh", "Sigmoid"] activation_alpha = [1.0, 2.0, 3.0] activation_beta = [3.0, 2.0, 1.0] clip = 1.22 node_param = ng_opset1.lstm_sequence( parameter_X, parameter_H_t, parameter_C_t, parameter_seq_len, parameter_W, parameter_R, parameter_B, hidden_size, direction, activations, activation_alpha, activation_beta, clip, ) assert node_param.get_type_name() == "LSTMSequence" assert node_param.get_output_size() == 3 @pytest.mark.parametrize("dtype", [np.float32, np.float64]) def test_lstm_sequence_operator_forward_opset1(dtype): batch_size = 2 input_size = 4 hidden_size = 3 num_directions = 1 seq_length = 2 X_shape = [batch_size, seq_length, input_size] H_t_shape = [batch_size, num_directions, hidden_size] C_t_shape = [batch_size, num_directions, hidden_size] seq_len_shape = [batch_size] W_shape = [num_directions, 4 * hidden_size, input_size] R_shape = [num_directions, 4 * hidden_size, hidden_size] B_shape = [num_directions, 4 * hidden_size] parameter_X = ng.parameter(X_shape, name="X", dtype=dtype) parameter_H_t = ng.parameter(H_t_shape, name="H_t", dtype=dtype) parameter_C_t = ng.parameter(C_t_shape, name="C_t", dtype=dtype) parameter_seq_len = ng.parameter(seq_len_shape, name="seq_len", dtype=np.int32) parameter_W = ng.parameter(W_shape, name="W", dtype=dtype) parameter_R = ng.parameter(R_shape, name="R", dtype=dtype) parameter_B = ng.parameter(B_shape, name="B", dtype=dtype) direction = "forward" node_default = ng_opset1.lstm_sequence( parameter_X, parameter_H_t, parameter_C_t, parameter_seq_len, parameter_W, parameter_R, parameter_B, hidden_size, direction, ) assert node_default.get_type_name() == "LSTMSequence" assert node_default.get_output_size() == 3 activations = ["RELU", "tanh", "Sigmoid"] activation_alpha = [2.0] activation_beta = [1.0] clip = 0.5 node = ng_opset1.lstm_sequence( parameter_X, parameter_H_t, parameter_C_t, parameter_seq_len, parameter_W, parameter_R, parameter_B, hidden_size, direction, activations, activation_alpha, activation_beta, clip, ) assert node.get_type_name() == "LSTMSequence" assert node.get_output_size() == 3 def test_gru_cell_operator(): batch_size = 1 input_size = 16 hidden_size = 128 X_shape = [batch_size, input_size] H_t_shape = [batch_size, hidden_size] W_shape = [3 * hidden_size, input_size] R_shape = [3 * hidden_size, hidden_size] B_shape = [3 * hidden_size] parameter_X = ng.parameter(X_shape, name="X", dtype=np.float32) parameter_H_t = ng.parameter(H_t_shape, name="H_t", dtype=np.float32) parameter_W = ng.parameter(W_shape, name="W", dtype=np.float32) parameter_R = ng.parameter(R_shape, name="R", dtype=np.float32) parameter_B = ng.parameter(B_shape, name="B", dtype=np.float32) expected_shape = [1, 128] node_default = ng.gru_cell(parameter_X, parameter_H_t, parameter_W, parameter_R, parameter_B, hidden_size) assert node_default.get_type_name() == "GRUCell" assert node_default.get_output_size() == 1 assert list(node_default.get_output_shape(0)) == expected_shape activations = ["tanh", "relu"] activations_alpha = [1.0, 2.0] activations_beta = [1.0, 2.0] clip = 0.5 linear_before_reset = True # If *linear_before_reset* is set True, then B tensor shape must be [4 * hidden_size] B_shape = [4 * hidden_size] parameter_B = ng.parameter(B_shape, name="B", dtype=np.float32) node_param = ng.gru_cell( parameter_X, parameter_H_t, parameter_W, parameter_R, parameter_B, hidden_size, activations, activations_alpha, activations_beta, clip, linear_before_reset, ) assert node_param.get_type_name() == "GRUCell" assert node_param.get_output_size() == 1 assert list(node_param.get_output_shape(0)) == expected_shape def test_gru_sequence(): batch_size = 2 input_size = 16 hidden_size = 32 seq_len = 8 seq_lengths = [seq_len] * batch_size num_directions = 1 direction = "FORWARD" X_shape = [batch_size, seq_len, input_size] H_t_shape = [batch_size, num_directions, hidden_size] W_shape = [num_directions, 3 * hidden_size, input_size] R_shape = [num_directions, 3 * hidden_size, hidden_size] B_shape = [num_directions, 3 * hidden_size] parameter_X = ng.parameter(X_shape, name="X", dtype=np.float32) parameter_H_t = ng.parameter(H_t_shape, name="H_t", dtype=np.float32) parameter_W = ng.parameter(W_shape, name="W", dtype=np.float32) parameter_R = ng.parameter(R_shape, name="R", dtype=np.float32) parameter_B = ng.parameter(B_shape, name="B", dtype=np.float32) expected_shape_y = [batch_size, num_directions, seq_len, hidden_size] expected_shape_h = [batch_size, num_directions, hidden_size] node_default = ng.gru_sequence( parameter_X, parameter_H_t, seq_lengths, parameter_W, parameter_R, parameter_B, hidden_size, direction, ) assert node_default.get_type_name() == "GRUSequence" assert node_default.get_output_size() == 2 assert list(node_default.get_output_shape(0)) == expected_shape_y assert list(node_default.get_output_shape(1)) == expected_shape_h activations = ["tanh", "relu"] activations_alpha = [1.0, 2.0] activations_beta = [1.0, 2.0] clip = 0.5 linear_before_reset = True # If *linear_before_reset* is set True, then B tensor shape must be [4 * hidden_size] B_shape = [num_directions, 4 * hidden_size] parameter_B = ng.parameter(B_shape, name="B", dtype=np.float32) node_param = ng.gru_sequence( parameter_X, parameter_H_t, seq_lengths, parameter_W, parameter_R, parameter_B, hidden_size, direction, activations, activations_alpha, activations_beta, clip, linear_before_reset, ) assert node_param.get_type_name() == "GRUSequence" assert node_param.get_output_size() == 2 assert list(node_param.get_output_shape(0)) == expected_shape_y assert list(node_param.get_output_shape(1)) == expected_shape_h def test_rnn_sequence(): batch_size = 2 input_size = 16 hidden_size = 32 seq_len = 8 seq_lengths = [seq_len] * batch_size num_directions = 1 direction = "FORWARD" X_shape = [batch_size, seq_len, input_size] H_t_shape = [batch_size, num_directions, hidden_size] W_shape = [num_directions, hidden_size, input_size] R_shape = [num_directions, hidden_size, hidden_size] B_shape = [num_directions, hidden_size] parameter_X = ng.parameter(X_shape, name="X", dtype=np.float32) parameter_H_t = ng.parameter(H_t_shape, name="H_t", dtype=np.float32) parameter_W = ng.parameter(W_shape, name="W", dtype=np.float32) parameter_R = ng.parameter(R_shape, name="R", dtype=np.float32) parameter_B = ng.parameter(B_shape, name="B", dtype=np.float32) expected_shape_y = [batch_size, num_directions, seq_len, hidden_size] expected_shape_h = [batch_size, num_directions, hidden_size] node_default = ng.rnn_sequence( parameter_X, parameter_H_t, seq_lengths, parameter_W, parameter_R, parameter_B, hidden_size, direction, ) assert node_default.get_type_name() == "RNNSequence" assert node_default.get_output_size() == 2 assert list(node_default.get_output_shape(0)) == expected_shape_y assert list(node_default.get_output_shape(1)) == expected_shape_h activations = ["relu"] activations_alpha = [2.0] activations_beta = [1.0] clip = 0.5 node_param = ng.rnn_sequence( parameter_X, parameter_H_t, seq_lengths, parameter_W, parameter_R, parameter_B, hidden_size, direction, activations, activations_alpha, activations_beta, clip, ) assert node_param.get_type_name() == "RNNSequence" assert node_param.get_output_size() == 2 assert list(node_param.get_output_shape(0)) == expected_shape_y assert list(node_param.get_output_shape(1)) == expected_shape_h @skip_segfault def test_loop(): trip_count = 8 condition = True node_default = ng.loop(trip_count, condition) assert node_default.get_type_name() == "Loop" def test_roi_pooling(): inputs = ng.parameter([2, 3, 4, 5], dtype=np.float32) coords = ng.parameter([150, 5], dtype=np.float32) node = ng.roi_pooling(inputs, coords, [6, 6], 0.0625, "Max") assert node.get_type_name() == "ROIPooling" assert node.get_output_size() == [6, 6] assert list(node.get_output_shape(0)) == [150, 3, 6, 6] assert node.get_output_element_type(0) == Type.f32 def test_psroi_pooling(): inputs = ng.parameter([1, 3, 4, 5], dtype=np.float32) coords = ng.parameter([150, 5], dtype=np.float32) node = ng.psroi_pooling(inputs, coords, 2, 6, 0.0625, 0, 0, "Avg") assert node.get_type_name() == "PSROIPooling" assert node.get_output_size() == 1 assert list(node.get_output_shape(0)) == [150, 2, 6, 6] assert node.get_output_element_type(0) == Type.f32 def test_convert_like(): parameter_data = ng.parameter([1, 2, 3, 4], name="data", dtype=np.float32) like = ng.constant(1, dtype=np.int8) node = ng.convert_like(parameter_data, like) assert node.get_type_name() == "ConvertLike" assert node.get_output_size() == 1 assert list(node.get_output_shape(0)) == [1, 2, 3, 4] assert node.get_output_element_type(0) == Type.i8 def test_bucketize(): data = ng.parameter([4, 3, 2, 1], name="data", dtype=np.float32) buckets = ng.parameter([5], name="buckets", dtype=np.int64) node = ng.bucketize(data, buckets, "i32") assert node.get_type_name() == "Bucketize" assert node.get_output_size() == 1 assert list(node.get_output_shape(0)) == [4, 3, 2, 1] assert node.get_output_element_type(0) == Type.i32 def test_region_yolo(): data = ng.parameter([1, 125, 13, 13], name="input", dtype=np.float32) num_coords = 4 num_classes = 80 num_regions = 1 mask = [6, 7, 8] axis = 0 end_axis = 3 do_softmax = False node = ng.region_yolo(data, num_coords, num_classes, num_regions, do_softmax, mask, axis, end_axis) assert node.get_type_name() == "RegionYolo" assert node.get_output_size() == 1 assert list(node.get_output_shape(0)) == [1, (80 + 4 + 1) * 3, 13, 13] assert node.get_output_element_type(0) == Type.f32 def test_reorg_yolo(): data = ng.parameter([2, 24, 34, 62], name="input", dtype=np.int32) stride = [2] node = ng.reorg_yolo(data, stride) assert node.get_type_name() == "ReorgYolo" assert node.get_output_size() == 1 assert list(node.get_output_shape(0)) == [2, 96, 17, 31] assert node.get_output_element_type(0) == Type.i32 def test_embedding_bag_offsets_sum_1(): emb_table = ng.parameter([5, 2], name="emb_table", dtype=np.float32) indices = ng.parameter([4], name="indices", dtype=np.int64) offsets = ng.parameter([3], name="offsets", dtype=np.int64) default_index = ng.parameter([], name="default_index", dtype=np.int64) node = ng.embedding_bag_offsets_sum(emb_table, indices, offsets, default_index) assert node.get_type_name() == "EmbeddingBagOffsetsSum" assert node.get_output_size() == 1 assert list(node.get_output_shape(0)) == [3, 2] assert node.get_output_element_type(0) == Type.f32 def test_embedding_segments_sum_all_inputs(): emb_table = ng.parameter([5, 2], name="emb_table", dtype=np.float32) indices = ng.parameter([4], name="indices", dtype=np.int64) segment_ids = ng.parameter([4], name="segment_ids", dtype=np.int64) num_segments = ng.parameter([], name="num_segments", dtype=np.int64) default_index = ng.parameter([], name="default_index", dtype=np.int64) per_sample_weights = ng.parameter([4], name="per_sample_weights", dtype=np.float32) node = ng.embedding_segments_sum( emb_table, indices, segment_ids, num_segments, default_index, per_sample_weights ) assert node.get_type_name() == "EmbeddingSegmentsSum" assert node.get_output_size() == 1 assert node.get_output_partial_shape(0).same_scheme(PartialShape([-1, 2])) assert node.get_output_element_type(0) == Type.f32 def test_embedding_segments_sum_with_some_opt_inputs(): emb_table = ng.parameter([5, 2], name="emb_table", dtype=np.float32) indices = ng.parameter([4], name="indices", dtype=np.int64) segment_ids = ng.parameter([4], name="segment_ids", dtype=np.int64) num_segments = ng.parameter([], name="num_segments", dtype=np.int64) # only 1 out of 3 optional inputs node = ng.embedding_segments_sum(emb_table, indices, segment_ids, num_segments) assert node.get_type_name() == "EmbeddingSegmentsSum" assert node.get_output_size() == 1 assert node.get_output_partial_shape(0).same_scheme(PartialShape([-1, 2])) assert node.get_output_element_type(0) == Type.f32 def test_embedding_bag_packed_sum(): emb_table = ng.parameter([5, 2], name="emb_table", dtype=np.float32) indices = ng.parameter([3, 3], name="indices", dtype=np.int64) per_sample_weights = ng.parameter([3, 3], name="per_sample_weights", dtype=np.float32) # only 1 out of 3 optional inputs node = ng.embedding_bag_packed_sum(emb_table, indices, per_sample_weights) assert node.get_type_name() == "EmbeddingBagPackedSum" assert node.get_output_size() == 1 assert list(node.get_output_shape(0)) == [3, 2] assert node.get_output_element_type(0) == Type.f32 @pytest.mark.parametrize("dtype", integral_np_types) def test_interpolate(dtype): image_shape = [1, 3, 1024, 1024] output_shape = [64, 64] attributes = { "axes": [2, 3], "mode": "cubic", "pads_begin": np.array([2, 2], dtype=dtype), } image_node = ng.parameter(image_shape, dtype, name="Image") node = ng.interpolate(image_node, output_shape, attributes) expected_shape = [1, 3, 64, 64] assert node.get_type_name() == "Interpolate" assert node.get_output_size() == 1 assert list(node.get_output_shape(0)) == expected_shape @pytest.mark.parametrize( "int_dtype, fp_dtype", [ (np.int8, np.float32), (np.int16, np.float32), (np.int32, np.float32), (np.int64, np.float32), (np.uint8, np.float32), (np.uint16, np.float32), (np.uint32, np.float32), (np.uint64, np.float32), (np.int32, np.float16), (np.int32, np.float64), ], ) def test_prior_box(int_dtype, fp_dtype): image_shape = np.array([64, 64], dtype=int_dtype) attributes = { "offset": fp_dtype(0), "min_size": np.array([2, 3], dtype=fp_dtype), "aspect_ratio": np.array([1.5, 2.0, 2.5], dtype=fp_dtype), "scale_all_sizes": False } layer_shape = ng.constant(np.array([32, 32], dtype=int_dtype), int_dtype) node = ng.prior_box(layer_shape, image_shape, attributes) assert node.get_type_name() == "PriorBox" assert node.get_output_size() == 1 assert list(node.get_output_shape(0)) == [2, 20480] @pytest.mark.parametrize( "int_dtype, fp_dtype", [ (np.int8, np.float32), (np.int16, np.float32), (np.int32, np.float32), (np.int64, np.float32), (np.uint8, np.float32), (np.uint16, np.float32), (np.uint32, np.float32), (np.uint64, np.float32), (np.int32, np.float16), (np.int32, np.float64), ], ) def test_prior_box_clustered(int_dtype, fp_dtype): image_size = np.array([64, 64], dtype=int_dtype) attributes = { "offset": fp_dtype(0.5), "width": np.array([4.0, 2.0, 3.2], dtype=fp_dtype), "height": np.array([1.0, 2.0, 1.0], dtype=fp_dtype), } output_size = ng.constant(np.array([19, 19], dtype=int_dtype), int_dtype) node = ng.prior_box_clustered(output_size, image_size, attributes) assert node.get_type_name() == "PriorBoxClustered" assert node.get_output_size() == 1 assert list(node.get_output_shape(0)) == [2, 4332] @pytest.mark.parametrize( "int_dtype, fp_dtype", [ (np.int8, np.float32), (np.int16, np.float32), (np.int32, np.float32), (np.int64, np.float32), (np.uint8, np.float32), (np.uint16, np.float32), (np.uint32, np.float32), (np.uint64, np.float32), (np.int32, np.float16), (np.int32, np.float64), ], ) def test_detection_output(int_dtype, fp_dtype): attributes = { "num_classes": int_dtype(85), "keep_top_k": np.array([64], dtype=int_dtype), "nms_threshold": fp_dtype(0.645), } box_logits = ng.parameter([4, 1, 5, 5], fp_dtype, "box_logits") class_preds = ng.parameter([2, 1, 4, 5], fp_dtype, "class_preds") proposals = ng.parameter([2, 1, 4, 5], fp_dtype, "proposals") aux_class_preds = ng.parameter([2, 1, 4, 5], fp_dtype, "aux_class_preds") aux_box_preds = ng.parameter([2, 1, 4, 5], fp_dtype, "aux_box_preds") node = ng.detection_output(box_logits, class_preds, proposals, attributes, aux_class_preds, aux_box_preds) assert node.get_type_name() == "DetectionOutput" assert node.get_output_size() == 1 assert list(node.get_output_shape(0)) == [1, 1, 256, 7] @pytest.mark.parametrize( "int_dtype, fp_dtype", [ (np.uint8, np.float32), (np.uint16, np.float32), (np.uint32, np.float32), (np.uint64, np.float32), (np.uint32, np.float16), (np.uint32, np.float64), ], ) def test_proposal(int_dtype, fp_dtype): attributes = { "base_size": int_dtype(1), "pre_nms_topn": int_dtype(20), "post_nms_topn": int_dtype(64), "nms_thresh": fp_dtype(0.34), "feat_stride": int_dtype(16), "min_size": int_dtype(32), "ratio": np.array([0.1, 1.5, 2.0, 2.5], dtype=fp_dtype), "scale": np.array([2, 3, 3, 4], dtype=fp_dtype), } batch_size = 7 class_probs = ng.parameter([batch_size, 12, 34, 62], fp_dtype, "class_probs") bbox_deltas = ng.parameter([batch_size, 24, 34, 62], fp_dtype, "bbox_deltas") image_shape = ng.parameter([3], fp_dtype, "image_shape") node = ng.proposal(class_probs, bbox_deltas, image_shape, attributes) assert node.get_type_name() == "Proposal" assert node.get_output_size() == 2 assert list(node.get_output_shape(0)) == [batch_size * attributes["post_nms_topn"], 5] def test_tensor_iterator(): from ngraph.utils.tensor_iterator_types import ( GraphBody, TensorIteratorSliceInputDesc, TensorIteratorMergedInputDesc, TensorIteratorInvariantInputDesc, TensorIteratorBodyOutputDesc, TensorIteratorConcatOutputDesc, ) # Body parameters body_timestep = ng.parameter([], np.int32, "timestep") body_data_in = ng.parameter([1, 2, 2], np.float32, "body_in") body_prev_cma = ng.parameter([2, 2], np.float32, "body_prev_cma") body_const_one = ng.parameter([], np.int32, "body_const_one") # CMA = cumulative moving average prev_cum_sum = ng.multiply(ng.convert(body_timestep, "f32"), body_prev_cma) curr_cum_sum = ng.add(prev_cum_sum, ng.squeeze(body_data_in, [0])) elem_cnt = ng.add(body_const_one, body_timestep) curr_cma = ng.divide(curr_cum_sum, ng.convert(elem_cnt, "f32")) cma_hist = ng.unsqueeze(curr_cma, [0]) # TI inputs data = ng.parameter([16, 2, 2], np.float32, "data") # Iterations count zero = ng.constant(0, dtype=np.int32) one = ng.constant(1, dtype=np.int32) initial_cma = ng.constant(np.zeros([2, 2], dtype=np.float32), dtype=np.float32) iter_cnt = ng.range(zero, np.int32(16), np.int32(1)) ti_inputs = [iter_cnt, data, initial_cma, one] graph_body = GraphBody([body_timestep, body_data_in, body_prev_cma, body_const_one], [curr_cma, cma_hist]) ti_slice_input_desc = [ # timestep # input_idx, body_param_idx, start, stride, part_size, end, axis TensorIteratorSliceInputDesc(0, 0, 0, 1, 1, -1, 0), # data TensorIteratorSliceInputDesc(1, 1, 0, 1, 1, -1, 0), ] ti_merged_input_desc = [ # body prev/curr_cma TensorIteratorMergedInputDesc(2, 2, 0), ] ti_invariant_input_desc = [ # body const one TensorIteratorInvariantInputDesc(3, 3), ] # TI outputs ti_body_output_desc = [ # final average TensorIteratorBodyOutputDesc(0, 0, -1), ] ti_concat_output_desc = [ # history of cma TensorIteratorConcatOutputDesc(1, 1, 0, 1, 1, -1, 0), ] node = ng.tensor_iterator( ti_inputs, graph_body, ti_slice_input_desc, ti_merged_input_desc, ti_invariant_input_desc, ti_body_output_desc, ti_concat_output_desc, ) assert node.get_type_name() == "TensorIterator" assert node.get_output_size() == 2 # final average assert list(node.get_output_shape(0)) == [2, 2] # cma history assert list(node.get_output_shape(1)) == [16, 2, 2] def test_read_value(): init_value = ng.parameter([2, 2], name="init_value", dtype=np.int32) node = ng.read_value(init_value, "var_id_667") assert node.get_type_name() == "ReadValue" assert node.get_output_size() == 1 assert list(node.get_output_shape(0)) == [2, 2] assert node.get_output_element_type(0) == Type.i32 def test_assign(): input_data = ng.parameter([5, 7], name="input_data", dtype=np.int32) rv = ng.read_value(input_data, "var_id_667") node = ng.assign(rv, "var_id_667") assert node.get_type_name() == "Assign" assert node.get_output_size() == 1 assert list(node.get_output_shape(0)) == [5, 7] assert node.get_output_element_type(0) == Type.i32 def test_extract_image_patches(): image = ng.parameter([64, 3, 10, 10], name="image", dtype=np.int32) sizes = [3, 3] strides = [5, 5] rates = [1, 1] padding = "VALID" node = ng.extract_image_patches(image, sizes, strides, rates, padding) assert node.get_type_name() == "ExtractImagePatches" assert node.get_output_size() == 1 assert list(node.get_output_shape(0)) == [64, 27, 2, 2] assert node.get_output_element_type(0) == Type.i32 @pytest.mark.parametrize("dtype", [np.float32, np.float64]) def test_lstm_sequence_operator_bidirectional(dtype): batch_size = 1 input_size = 16 hidden_size = 128 num_directions = 2 seq_length = 2 X_shape = [batch_size, seq_length, input_size] H_t_shape = [batch_size, num_directions, hidden_size] C_t_shape = [batch_size, num_directions, hidden_size] seq_len_shape = [batch_size] W_shape = [num_directions, 4 * hidden_size, input_size] R_shape = [num_directions, 4 * hidden_size, hidden_size] B_shape = [num_directions, 4 * hidden_size] parameter_X = ng.parameter(X_shape, name="X", dtype=dtype) parameter_H_t = ng.parameter(H_t_shape, name="H_t", dtype=dtype) parameter_C_t = ng.parameter(C_t_shape, name="C_t", dtype=dtype) parameter_seq_len = ng.parameter(seq_len_shape, name="seq_len", dtype=np.int32) parameter_W = ng.parameter(W_shape, name="W", dtype=dtype) parameter_R = ng.parameter(R_shape, name="R", dtype=dtype) parameter_B = ng.parameter(B_shape, name="B", dtype=dtype) direction = "BIDIRECTIONAL" node = ng.lstm_sequence( parameter_X, parameter_H_t, parameter_C_t, parameter_seq_len, parameter_W, parameter_R, parameter_B, hidden_size, direction, ) assert node.get_type_name() == "LSTMSequence" assert node.get_output_size() == 3 activations = ["RELU", "tanh", "Sigmoid"] activation_alpha = [1.0, 2.0, 3.0] activation_beta = [3.0, 2.0, 1.0] clip = 1.22 node_param = ng.lstm_sequence( parameter_X, parameter_H_t, parameter_C_t, parameter_seq_len, parameter_W, parameter_R, parameter_B, hidden_size, direction, activations, activation_alpha, activation_beta, clip, ) assert node_param.get_type_name() == "LSTMSequence" assert node_param.get_output_size() == 3 @pytest.mark.parametrize("dtype", [np.float32, np.float64]) def test_lstm_sequence_operator_reverse(dtype): batch_size = 2 input_size = 4 hidden_size = 3 num_directions = 1 seq_length = 2 X_shape = [batch_size, seq_length, input_size] H_t_shape = [batch_size, num_directions, hidden_size] C_t_shape = [batch_size, num_directions, hidden_size] seq_len_shape = [batch_size] W_shape = [num_directions, 4 * hidden_size, input_size] R_shape = [num_directions, 4 * hidden_size, hidden_size] B_shape = [num_directions, 4 * hidden_size] parameter_X = ng.parameter(X_shape, name="X", dtype=dtype) parameter_H_t = ng.parameter(H_t_shape, name="H_t", dtype=dtype) parameter_C_t = ng.parameter(C_t_shape, name="C_t", dtype=dtype) parameter_seq_len = ng.parameter(seq_len_shape, name="seq_len", dtype=np.int32) parameter_W = ng.parameter(W_shape, name="W", dtype=dtype) parameter_R = ng.parameter(R_shape, name="R", dtype=dtype) parameter_B = ng.parameter(B_shape, name="B", dtype=dtype) direction = "REVERSE" node_default = ng.lstm_sequence( parameter_X, parameter_H_t, parameter_C_t, parameter_seq_len, parameter_W, parameter_R, parameter_B, hidden_size, direction, ) assert node_default.get_type_name() == "LSTMSequence" assert node_default.get_output_size() == 3 activations = ["RELU", "tanh", "Sigmoid"] activation_alpha = [1.0, 2.0, 3.0] activation_beta = [3.0, 2.0, 1.0] clip = 1.22 node_param = ng.lstm_sequence( parameter_X, parameter_H_t, parameter_C_t, parameter_seq_len, parameter_W, parameter_R, parameter_B, hidden_size, direction, activations, activation_alpha, activation_beta, clip, ) assert node_param.get_type_name() == "LSTMSequence" assert node_param.get_output_size() == 3 @pytest.mark.parametrize("dtype", [np.float32, np.float64]) def test_lstm_sequence_operator_forward(dtype): batch_size = 2 input_size = 4 hidden_size = 3 num_directions = 1 seq_length = 2 X_shape = [batch_size, seq_length, input_size] H_t_shape = [batch_size, num_directions, hidden_size] C_t_shape = [batch_size, num_directions, hidden_size] seq_len_shape = [batch_size] W_shape = [num_directions, 4 * hidden_size, input_size] R_shape = [num_directions, 4 * hidden_size, hidden_size] B_shape = [num_directions, 4 * hidden_size] parameter_X = ng.parameter(X_shape, name="X", dtype=dtype) parameter_H_t = ng.parameter(H_t_shape, name="H_t", dtype=dtype) parameter_C_t = ng.parameter(C_t_shape, name="C_t", dtype=dtype) parameter_seq_len = ng.parameter(seq_len_shape, name="seq_len", dtype=np.int32) parameter_W = ng.parameter(W_shape, name="W", dtype=dtype) parameter_R = ng.parameter(R_shape, name="R", dtype=dtype) parameter_B = ng.parameter(B_shape, name="B", dtype=dtype) direction = "forward" node_default = ng.lstm_sequence( parameter_X, parameter_H_t, parameter_C_t, parameter_seq_len, parameter_W, parameter_R, parameter_B, hidden_size, direction, ) assert node_default.get_type_name() == "LSTMSequence" assert node_default.get_output_size() == 3 activations = ["RELU", "tanh", "Sigmoid"] activation_alpha = [2.0] activation_beta = [1.0] clip = 0.5 node = ng.lstm_sequence( parameter_X, parameter_H_t, parameter_C_t, parameter_seq_len, parameter_W, parameter_R, parameter_B, hidden_size, direction, activations, activation_alpha, activation_beta, clip, ) assert node.get_type_name() == "LSTMSequence" assert node.get_output_size() == 3 @pytest.mark.parametrize("dtype", [np.float32, np.float64]) def test_gru_sequence_operator_bidirectional(dtype): batch_size = 1 input_size = 16 hidden_size = 128 num_directions = 2 seq_length = 2 X_shape = [batch_size, seq_length, input_size] H_t_shape = [batch_size, num_directions, hidden_size] seq_len_shape = [batch_size] W_shape = [num_directions, 3 * hidden_size, input_size] R_shape = [num_directions, 3 * hidden_size, hidden_size] B_shape = [num_directions, 3 * hidden_size] parameter_X = ng.parameter(X_shape, name="X", dtype=dtype) parameter_H_t = ng.parameter(H_t_shape, name="H_t", dtype=dtype) parameter_seq_len = ng.parameter(seq_len_shape, name="seq_len", dtype=np.int32) parameter_W = ng.parameter(W_shape, name="W", dtype=dtype) parameter_R = ng.parameter(R_shape, name="R", dtype=dtype) parameter_B = ng.parameter(B_shape, name="B", dtype=dtype) direction = "BIDIRECTIONAL" node = ng.gru_sequence( parameter_X, parameter_H_t, parameter_seq_len, parameter_W, parameter_R, parameter_B, hidden_size, direction, ) assert node.get_type_name() == "GRUSequence" assert node.get_output_size() == 2 activations = ["RELU", "tanh"] activation_alpha = [1.0, 2.0, 3.0] activation_beta = [3.0, 2.0, 1.0] clip = 1.22 linear_before_reset = True B_shape = [num_directions, 4 * hidden_size] parameter_B = ng.parameter(B_shape, name="B", dtype=dtype) node_param = ng.gru_sequence( parameter_X, parameter_H_t, parameter_seq_len, parameter_W, parameter_R, parameter_B, hidden_size, direction, activations, activation_alpha, activation_beta, clip, linear_before_reset ) assert node_param.get_type_name() == "GRUSequence" assert node_param.get_output_size() == 2 @pytest.mark.parametrize("dtype", [np.float32, np.float64]) def test_gru_sequence_operator_reverse(dtype): batch_size = 2 input_size = 4 hidden_size = 3 num_directions = 1 seq_length = 2 X_shape = [batch_size, seq_length, input_size] H_t_shape = [batch_size, num_directions, hidden_size] seq_len_shape = [batch_size] W_shape = [num_directions, 3 * hidden_size, input_size] R_shape = [num_directions, 3 * hidden_size, hidden_size] B_shape = [num_directions, 3 * hidden_size] parameter_X = ng.parameter(X_shape, name="X", dtype=dtype) parameter_H_t = ng.parameter(H_t_shape, name="H_t", dtype=dtype) parameter_seq_len = ng.parameter(seq_len_shape, name="seq_len", dtype=np.int32) parameter_W = ng.parameter(W_shape, name="W", dtype=dtype) parameter_R = ng.parameter(R_shape, name="R", dtype=dtype) parameter_B = ng.parameter(B_shape, name="B", dtype=dtype) direction = "REVERSE" node_default = ng.gru_sequence( parameter_X, parameter_H_t, parameter_seq_len, parameter_W, parameter_R, parameter_B, hidden_size, direction, ) assert node_default.get_type_name() == "GRUSequence" assert node_default.get_output_size() == 2 activations = ["RELU", "tanh"] activation_alpha = [1.0, 2.0, 3.0] activation_beta = [3.0, 2.0, 1.0] clip = 1.22 linear_before_reset = True B_shape = [num_directions, 4 * hidden_size] parameter_B = ng.parameter(B_shape, name="B", dtype=dtype) node_param = ng.gru_sequence( parameter_X, parameter_H_t, parameter_seq_len, parameter_W, parameter_R, parameter_B, hidden_size, direction, activations, activation_alpha, activation_beta, clip, linear_before_reset ) assert node_param.get_type_name() == "GRUSequence" assert node_param.get_output_size() == 2 @pytest.mark.parametrize("dtype", [np.float32, np.float64]) def test_gru_sequence_operator_forward(dtype): batch_size = 2 input_size = 4 hidden_size = 3 num_directions = 1 seq_length = 2 X_shape = [batch_size, seq_length, input_size] H_t_shape = [batch_size, num_directions, hidden_size] seq_len_shape = [batch_size] W_shape = [num_directions, 3 * hidden_size, input_size] R_shape = [num_directions, 3 * hidden_size, hidden_size] B_shape = [num_directions, 3 * hidden_size] parameter_X = ng.parameter(X_shape, name="X", dtype=dtype) parameter_H_t = ng.parameter(H_t_shape, name="H_t", dtype=dtype) parameter_seq_len = ng.parameter(seq_len_shape, name="seq_len", dtype=np.int32) parameter_W = ng.parameter(W_shape, name="W", dtype=dtype) parameter_R = ng.parameter(R_shape, name="R", dtype=dtype) parameter_B = ng.parameter(B_shape, name="B", dtype=dtype) direction = "forward" node_default = ng.gru_sequence( parameter_X, parameter_H_t, parameter_seq_len, parameter_W, parameter_R, parameter_B, hidden_size, direction, ) assert node_default.get_type_name() == "GRUSequence" assert node_default.get_output_size() == 2 activations = ["RELU", "tanh"] activation_alpha = [2.0] activation_beta = [1.0] clip = 0.5 linear_before_reset = True B_shape = [num_directions, 4 * hidden_size] parameter_B = ng.parameter(B_shape, name="B", dtype=dtype) node = ng.gru_sequence( parameter_X, parameter_H_t, parameter_seq_len, parameter_W, parameter_R, parameter_B, hidden_size, direction, activations, activation_alpha, activation_beta, clip, linear_before_reset ) assert node.get_type_name() == "GRUSequence" assert node.get_output_size() == 2 @pytest.mark.parametrize("dtype", [np.float32, np.float64]) def test_rnn_sequence_operator_bidirectional(dtype): batch_size = 1 input_size = 16 hidden_size = 128 num_directions = 2 seq_length = 2 X_shape = [batch_size, seq_length, input_size] H_t_shape = [batch_size, num_directions, hidden_size] seq_len_shape = [batch_size] W_shape = [num_directions, hidden_size, input_size] R_shape = [num_directions, hidden_size, hidden_size] B_shape = [num_directions, hidden_size] parameter_X = ng.parameter(X_shape, name="X", dtype=dtype) parameter_H_t = ng.parameter(H_t_shape, name="H_t", dtype=dtype) parameter_seq_len = ng.parameter(seq_len_shape, name="seq_len", dtype=np.int32) parameter_W = ng.parameter(W_shape, name="W", dtype=dtype) parameter_R = ng.parameter(R_shape, name="R", dtype=dtype) parameter_B = ng.parameter(B_shape, name="B", dtype=dtype) direction = "BIDIRECTIONAL" node = ng.rnn_sequence( parameter_X, parameter_H_t, parameter_seq_len, parameter_W, parameter_R, parameter_B, hidden_size, direction, ) assert node.get_type_name() == "RNNSequence" assert node.get_output_size() == 2 activations = ["RELU", "tanh"] activation_alpha = [1.0, 2.0, 3.0] activation_beta = [3.0, 2.0, 1.0] clip = 1.22 node_param = ng.rnn_sequence( parameter_X, parameter_H_t, parameter_seq_len, parameter_W, parameter_R, parameter_B, hidden_size, direction, activations, activation_alpha, activation_beta, clip, ) assert node_param.get_type_name() == "RNNSequence" assert node_param.get_output_size() == 2 @pytest.mark.parametrize("dtype", [np.float32, np.float64]) def test_rnn_sequence_operator_reverse(dtype): batch_size = 2 input_size = 4 hidden_size = 3 num_directions = 1 seq_length = 2 X_shape = [batch_size, seq_length, input_size] H_t_shape = [batch_size, num_directions, hidden_size] seq_len_shape = [batch_size] W_shape = [num_directions, hidden_size, input_size] R_shape = [num_directions, hidden_size, hidden_size] B_shape = [num_directions, hidden_size] parameter_X = ng.parameter(X_shape, name="X", dtype=dtype) parameter_H_t = ng.parameter(H_t_shape, name="H_t", dtype=dtype) parameter_seq_len = ng.parameter(seq_len_shape, name="seq_len", dtype=np.int32) parameter_W = ng.parameter(W_shape, name="W", dtype=dtype) parameter_R = ng.parameter(R_shape, name="R", dtype=dtype) parameter_B = ng.parameter(B_shape, name="B", dtype=dtype) direction = "REVERSE" node_default = ng.rnn_sequence( parameter_X, parameter_H_t, parameter_seq_len, parameter_W, parameter_R, parameter_B, hidden_size, direction, ) assert node_default.get_type_name() == "RNNSequence" assert node_default.get_output_size() == 2 activations = ["RELU", "tanh"] activation_alpha = [1.0, 2.0, 3.0] activation_beta = [3.0, 2.0, 1.0] clip = 1.22 node_param = ng.rnn_sequence( parameter_X, parameter_H_t, parameter_seq_len, parameter_W, parameter_R, parameter_B, hidden_size, direction, activations, activation_alpha, activation_beta, clip, ) assert node_param.get_type_name() == "RNNSequence" assert node_param.get_output_size() == 2 @pytest.mark.parametrize("dtype", [np.float32, np.float64]) def test_rnn_sequence_operator_forward(dtype): batch_size = 2 input_size = 4 hidden_size = 3 num_directions = 1 seq_length = 2 X_shape = [batch_size, seq_length, input_size] H_t_shape = [batch_size, num_directions, hidden_size] seq_len_shape = [batch_size] W_shape = [num_directions, hidden_size, input_size] R_shape = [num_directions, hidden_size, hidden_size] B_shape = [num_directions, hidden_size] parameter_X = ng.parameter(X_shape, name="X", dtype=dtype) parameter_H_t = ng.parameter(H_t_shape, name="H_t", dtype=dtype) parameter_seq_len = ng.parameter(seq_len_shape, name="seq_len", dtype=np.int32) parameter_W = ng.parameter(W_shape, name="W", dtype=dtype) parameter_R = ng.parameter(R_shape, name="R", dtype=dtype) parameter_B = ng.parameter(B_shape, name="B", dtype=dtype) direction = "forward" node_default = ng.rnn_sequence( parameter_X, parameter_H_t, parameter_seq_len, parameter_W, parameter_R, parameter_B, hidden_size, direction, ) assert node_default.get_type_name() == "RNNSequence" assert node_default.get_output_size() == 2 activations = ["RELU", "tanh"] activation_alpha = [2.0] activation_beta = [1.0] clip = 0.5 node = ng.rnn_sequence( parameter_X, parameter_H_t, parameter_seq_len, parameter_W, parameter_R, parameter_B, hidden_size, direction, activations, activation_alpha, activation_beta, clip, ) assert node.get_type_name() == "RNNSequence" assert node.get_output_size() == 2

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7cb91ef62b6d238b31353a27cb8d256ad0c727ff

4,445

py

Python

notebooks/planning/helpers.py

janiapurv/swarm-reinforcement-learning

118c952f96e0c6cc093996fa1c76e7cc8a544bad

[ "MIT" ]

null

notebooks/planning/helpers.py

janiapurv/swarm-reinforcement-learning

118c952f96e0c6cc093996fa1c76e7cc8a544bad

[ "MIT" ]

null

notebooks/planning/helpers.py

janiapurv/swarm-reinforcement-learning

118c952f96e0c6cc093996fa1c76e7cc8a544bad

[ "MIT" ]

null

""" Helper methods and variables ============================ """ import plotly.graph_objs as go def obstacle_generator(obstacle_map): """ Generates a grid map with obstacles for testing Args: obstacle_map: Numpy array of zeros of shape atleast 100x100x100 Returns: Numpy array with obstacles marked as 1 """ for i in range(20, 41): for j in range(20, 41): for k in range(20, 41): obstacle_map[i][j][k] = 0 for i in range(60, 81): for j in range(20, 41): for k in range(20, 41): obstacle_map[i][j][k] = 0 for i in range(20, 41): for j in range(20, 41): for k in range(60, 81): obstacle_map[i][j][k] = 0 for i in range(60, 81): for j in range(20, 41): for k in range(60, 81): obstacle_map[i][j][k] = 0 for i in range(60, 81): for j in range(60, 81): for k in range(20, 41): obstacle_map[i][j][k] = 0 for i in range(20, 41): for j in range(60, 81): for k in range(20, 41): obstacle_map[i][j][k] = 0 for i in range(60, 81): for j in range(60, 81): for k in range(60, 81): obstacle_map[i][j][k] = 0 for i in range(20, 41): for j in range(60, 81): for k in range(60, 81): obstacle_map[i][j][k] = 0 return obstacle_map obs = go.Mesh3d(x=[20, 20, 40, 40, 20, 20, 40, 40], y=[20, 40, 40, 20, 20, 40, 40, 20], z=[20, 20, 20, 20, 40, 40, 40, 40], i=[7, 0, 0, 0, 4, 4, 6, 6, 4, 0, 3, 2], j=[3, 4, 1, 2, 5, 6, 5, 2, 0, 1, 6, 3], k=[0, 7, 2, 3, 6, 7, 1, 1, 5, 5, 7, 6], color='purple') obs1 = go.Mesh3d(x=[60, 60, 80, 80, 60, 60, 80, 80], y=[20, 40, 40, 20, 20, 40, 40, 20], z=[20, 20, 20, 20, 40, 40, 40, 40], i=[7, 0, 0, 0, 4, 4, 6, 6, 4, 0, 3, 2], j=[3, 4, 1, 2, 5, 6, 5, 2, 0, 1, 6, 3], k=[0, 7, 2, 3, 6, 7, 1, 1, 5, 5, 7, 6], color='purple') obs2 = go.Mesh3d(x=[20, 20, 40, 40, 20, 20, 40, 40], y=[20, 40, 40, 20, 20, 40, 40, 20], z=[60, 60, 60, 60, 80, 80, 80, 80], i=[7, 0, 0, 0, 4, 4, 6, 6, 4, 0, 3, 2], j=[3, 4, 1, 2, 5, 6, 5, 2, 0, 1, 6, 3], k=[0, 7, 2, 3, 6, 7, 1, 1, 5, 5, 7, 6], color='purple') obs3 = go.Mesh3d(x=[60, 60, 80, 80, 60, 60, 80, 80], y=[20, 40, 40, 20, 20, 40, 40, 20], z=[60, 60, 60, 60, 80, 80, 80, 80], i=[7, 0, 0, 0, 4, 4, 6, 6, 4, 0, 3, 2], j=[3, 4, 1, 2, 5, 6, 5, 2, 0, 1, 6, 3], k=[0, 7, 2, 3, 6, 7, 1, 1, 5, 5, 7, 6], color='purple') obs4 = go.Mesh3d(x=[60, 60, 80, 80, 60, 60, 80, 80], y=[60, 80, 80, 60, 60, 80, 80, 60], z=[20, 20, 20, 20, 40, 40, 40, 40], i=[7, 0, 0, 0, 4, 4, 6, 6, 4, 0, 3, 2], j=[3, 4, 1, 2, 5, 6, 5, 2, 0, 1, 6, 3], k=[0, 7, 2, 3, 6, 7, 1, 1, 5, 5, 7, 6], color='purple') obs5 = go.Mesh3d(x=[20, 20, 40, 40, 20, 20, 40, 40], y=[60, 80, 80, 60, 60, 80, 80, 60], z=[20, 20, 20, 20, 40, 40, 40, 40], i=[7, 0, 0, 0, 4, 4, 6, 6, 4, 0, 3, 2], j=[3, 4, 1, 2, 5, 6, 5, 2, 0, 1, 6, 3], k=[0, 7, 2, 3, 6, 7, 1, 1, 5, 5, 7, 6], color='purple') obs6 = go.Mesh3d(x=[60, 60, 80, 80, 60, 60, 80, 80], y=[60, 80, 80, 60, 60, 80, 80, 60], z=[60, 60, 60, 60, 80, 80, 80, 80], i=[7, 0, 0, 0, 4, 4, 6, 6, 4, 0, 3, 2], j=[3, 4, 1, 2, 5, 6, 5, 2, 0, 1, 6, 3], k=[0, 7, 2, 3, 6, 7, 1, 1, 5, 5, 7, 6], color='purple') obs7 = go.Mesh3d(x=[20, 20, 40, 40, 20, 20, 40, 40], y=[60, 80, 80, 60, 60, 80, 80, 60], z=[60, 60, 60, 60, 80, 80, 80, 80], i=[7, 0, 0, 0, 4, 4, 6, 6, 4, 0, 3, 2], j=[3, 4, 1, 2, 5, 6, 5, 2, 0, 1, 6, 3], k=[0, 7, 2, 3, 6, 7, 1, 1, 5, 5, 7, 6], color='purple') meshes = [obs, obs1, obs2, obs3, obs4, obs5, obs6, obs7]

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7cdc9614c25474564f4623de22ded062fa0e684a

31,034

py

Python

mridul_mtech_project.py

shaktimukker/bacterial-growth-analysis

8288745ec8c069ca1e91c60dcccd5dbdddaf510e

[ "MIT" ]

null

mridul_mtech_project.py

shaktimukker/bacterial-growth-analysis

8288745ec8c069ca1e91c60dcccd5dbdddaf510e

[ "MIT" ]

null

mridul_mtech_project.py

shaktimukker/bacterial-growth-analysis

8288745ec8c069ca1e91c60dcccd5dbdddaf510e

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Sat May 29 16:31:46 2021 @author: shakt """ import pandas as pd import numpy as np import matplotlib.pyplot as plt from scipy.optimize import curve_fit from gekko import GEKKO from mpl_toolkits.mplot3d import Axes3D import matplotlib.pyplot as plt path=r"/Users/shaktimukker/Documents/MyProjects/projects/bacterial-growth-analysis/" data=pd.read_excel(path+"data.xlsx") # eq8 def fn_eq8(X,a1,a2,b0,b1,b2): Y = X[:, 0] T = X[:, 1] Tmin,Tmax=18,45 #a1,a2,b0,b1,b2=para_eq8[0],para_eq8[1],para_eq8[2],para_eq8[3],para_eq8[4] f=((a1*(T-Tmin)*(1-np.exp(a2*(T-Tmax))))**2)*(b0+b1*Y+b2*(Y**2)) return f #eq9 def fn_eq9(X,a1,a2,b0,b1,b2): Y = X[:, 0] T = X[:, 1] Tmin,Tmax=18,45 #a1,a2,b0,b1,b2=para_eq8[0],para_eq8[1],para_eq8[2],para_eq8[3],para_eq8[4] f=(a1*(T-Tmin)*(1-np.exp(a2*(T-Tmax)))**2)*(b0+b1*Y+b2*(Y**2)) return f guesses = [2.981,0.201,0.431,2.010,0.528] guesses=[2.189, 0.284, 0.418, 1.220 ,0.867] X=np.array(data[["Y","T"]].values.tolist()) f=data["Um"].values.tolist() popt, pcov = curve_fit(fn_eq9, X, f, guesses) sigma = np.sqrt(np.diag(pcov)) #plot X = np.column_stack(X[:,0], X[:,1]) # independent variables f = fn_eq8(X,*popt) fig = plt.figure() ax = fig.gca(projection = '3d') ax.plot(X[:,0], X[:,1], f) ax.set_xlabel('Y') ax.set_ylabel('T') ax.set_zlabel('f(Y,T)') plt.savefig('images/graphical-mulvar-1.png') ### pyomo tutorial path=r"/Users/shaktimukker/Documents/MyProjects/projects/bacterial-growth-analysis/" import sys sys.path.append(path) import pandas as pd import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d.axes3d import Axes3D import shutil import sys import os.path import math from pyomo.environ import * from pyomo.dae import * import C def model_plot(m): r = sorted(m.r) t = sorted(m.t) rgrid = np.zeros((len(t), len(r))) tgrid = np.zeros((len(t), len(r))) Tgrid = np.zeros((len(t), len(r))) for i in range(0, len(t)): for j in range(0, len(r)): rgrid[i,j] = r[j] tgrid[i,j] = t[i] Tgrid[i,j] = m.T[t[i], r[j]].value fig = plt.figure(figsize=(10,6)) ax = fig.add_subplot(1, 1, 1, projection='3d') ax.set_xlabel('Distance r') ax.set_ylabel('Time t') ax.set_zlabel('Temperature T') p = ax.plot_wireframe(rgrid, tgrid, Tgrid) m = ConcreteModel() m.r = ContinuousSet(bounds=(0,1)) m.t = ContinuousSet(bounds=(0,2)) m.T = Var(m.t, m.r) m.dTdt = DerivativeVar(m.T, wrt=m.t) m.dTdr = DerivativeVar(m.T, wrt=m.r) m.d2Tdr2 = DerivativeVar(m.T, wrt=(m.r, m.r)) m.pde = Constraint(m.t, m.r, rule=lambda m, t, r: m.dTdt[t,r] == m.d2Tdr2[t,r] + (1/r)*m.dTdr[t,r] if r > 0 and r < 1 and t > 0 else Constraint.Skip) m.ic = Constraint(m.r, rule=lambda m, r: m.T[0,r] == 0) m.bc1 = Constraint(m.t, rule=lambda m, t: m.T[t,1] == 1 if t > 0 else Constraint.Skip) m.bc2 = Constraint(m.t, rule=lambda m, t: m.dTdr[t,0] == 0) TransformationFactory('dae.finite_difference').apply_to(m, nfe=20, wrt=m.r, scheme='CENTRAL') TransformationFactory('dae.finite_difference').apply_to(m, nfe=50, wrt=m.t, scheme='BACKWARD') SolverFactory('ipopt').solve(m).write() model_plot(m) ##2 m = ConcreteModel() m.r = ContinuousSet(bounds=(0,1)) m.t = ContinuousSet(bounds=(0,2)) m.T = Var(m.t, m.r) m.dTdt = DerivativeVar(m.T, wrt=m.t) m.dTdr = DerivativeVar(m.T, wrt=m.r) m.d2Tdr2 = DerivativeVar(m.T, wrt=(m.r, m.r)) @m.Constraint(m.t, m.r) def pde(m, t, r): if t == 0: return Constraint.Skip if r == 0 or r == 1: return Constraint.Skip return m.dTdt[t,r] == m.d2Tdr2[t,r] m.obj = Objective(expr=1) m.ic = Constraint(m.r, rule=lambda m, r: m.T[0,r] == 0 if r > 0 and r < 1 else Constraint.Skip) m.bc1 = Constraint(m.t, rule=lambda m, t: m.T[t,1] == 1) m.bc2 = Constraint(m.t, rule=lambda m, t: m.dTdr[t,0] == 0) TransformationFactory('dae.finite_difference').apply_to(m, nfe=50, scheme='FORWARD', wrt=m.r) TransformationFactory('dae.finite_difference').apply_to(m, nfe=50, scheme='FORWARD', wrt=m.t) SolverFactory('ipopt').solve(m, tee=True).write() model_plot(m) ###curve fitting ### solve all equations together using given parameters ###solve heat equation # parameters value for 3 liter bioreactor a,b,c,d=18.30, 3816.44, 227.02, 133.322 Cpa,Cps=1180,2500 IDS=.34 Ka,Ks=74.16, 1440 p,R=101325, .03 T0,Tj,Ta,Vz,W0=27, 30, 30, 60, 2.33*1000 X0,Y0,YQ,Z=2.1, 700, 8.4*1000, .6 epi,lmbda,rhoA,rhoS=.38, 2414.3, 1.14, 750 Um, Xm =.33,184 Vz=60 h=200 ###solve 2D heat equation m = ConcreteModel() m.z = ContinuousSet(bounds=(0,C.Z)) m.r = ContinuousSet(bounds=(0,C.R)) m.t = ContinuousSet(bounds=(0,200)) m.T = Var(m.t, m.z, m.r) m.dTdt = DerivativeVar(m.T, wrt=m.t) m.dTdz = DerivativeVar(m.T, wrt=m.z) m.d2Tdz2 = DerivativeVar(m.T, wrt=(m.z, m.z)) m.dTdr = DerivativeVar(m.T, wrt=m.r) m.d2Tdr2 = DerivativeVar(m.T, wrt=(m.r, m.r)) #issues #t,T,z=0,T0,0 def X(m): return C.Xm/(1+((C.Xm/C.X0)-1)*np.exp(-C.Um*m.t)) def dXdt(m): return C.Um*X(m)*(1-X(m)/C.Xm) def dHdT1(m): return .62413*C.b*C.p def dHdT2(m): return (m.T+C.c)**2 def dHdT3(m): return C.d*np.exp(C.a-C.b/(m.T+C.c)) def dHdT4(m): return (C.p/dHdT3(m)-1)**2 def dHdT(m): return dHdT1(m)/(dHdT2(m)*dHdT4(m)*dHdT3(m)) def Cpb(m): return (C.epi*C.rhoA*(C.Cpa+C.lmbda*dHdT(m)+(1-C.epi)*C.rhoS*C.Cps))/C.rhoB def heRHS(m): return C.rhoB*Cpb(m)*m.dTdt[t,z,r] def heLHS1(m): return C.rhoS*(1-C.epi)*C.YQ*dXdt(m) def heLHS2(m): return C.rhoA*C.Cpa*C.Vz*m.dTdz[t,z,r] def heLHS3(m): return C.rhoA*C.lmbda*C.Vz*dHdT(m)*m.dTdz[t,z,r] def heLHS4(m): return C.Kb*m.d2Tdz2[t,z,r] def heLHS5(m): return C.Kb*m.dTdr[t,z,r]/m.r+C.Kb*m.d2Tdr2[t,z,r] m.pde = Constraint(m.t, m.z, m.r, rule=lambda m, t, z, r: heRHS(m) == heLHS1(m)-heLHS2(m)-heLHS3(m)+heLHS4(m)+heLHS5(m) if r > 0 and r < C.R and z > 0 and z < C.Z and t > 0 else Constraint.Skip) # ============================================================================= # m.ic = Constraint(m.r, rule=lambda m, r: m.T[0,r] == 0) # m.bc1 = Constraint(m.t, rule=lambda m, t: m.T[t,1] == 1 if t > 0 else Constraint.Skip) # m.bc2 = Constraint(m.t, rule=lambda m, t: m.dTdr[t,0] == 0) # # m.ic = Constraint(m.z, rule=lambda m, z: m.T[0,z] == 27) # m.ic = Constraint(m.r, rule=lambda m, r: m.T[0,r] == 27) # m.bc1 = Constraint(m.t, rule=lambda m, t: m.dTdz[t,Z] == 0 if t > 0 else Constraint.Skip) # m.bc2 = Constraint(m.t, rule=lambda m, t: m.T[t,0] == Ta) # m.bc3 = Constraint(m.t, rule=lambda m, t: m.dTdz[t,0] == 0 if t > 0 else Constraint.Skip) # m.bc4 = Constraint(m.t, rule=lambda m, t: -Kb*m.dTdr[t,R] == h*(T-Tj)) # ============================================================================= m.ic = Constraint(m.z,m.r, rule=lambda m, z, r: m.T[0,z,r] == 27) m.bc1 = Constraint(m.t,m.r, rule=lambda m, t,r: m.dTdz[t,C.Z,r] == 0 if t > 0 else Constraint.Skip) m.bc2 = Constraint(m.t,m.r, rule=lambda m, t,r: m.T[t,0,r] == C.Ta) m.bc3 = Constraint(m.t,m.z, rule=lambda m, t,z: m.dTdz[t,z,0] == 0 if t > 0 else Constraint.Skip) m.bc4 = Constraint(m.t,m.z, rule=lambda m, t,z: C.Kb*m.dTdr[t,z,C.R]+C.h*(m.T[t,z,C.R]-C.Tj)==0) TransformationFactory('dae.finite_difference').apply_to(m, nfe=3, wrt=m.t, scheme='CENTRAL') TransformationFactory('dae.finite_difference').apply_to(m, nfe=3, wrt=m.z, scheme='CENTRAL') TransformationFactory('dae.finite_difference').apply_to(m, nfe=3, wrt=m.r, scheme='CENTRAL') SolverFactory('ipopt').solve(m).write() discretizer = TransformationFactory('dae.collocation') discretizer.apply_to(m, nfe =20, ncp=4) model_plot(m) m.r m.T[1,0,0].value ####### ###curve fitting import pandas as pd import numpy as np import matplotlib.pyplot as plt from scipy.optimize import curve_fit from gekko import GEKKO from mpl_toolkits.mplot3d import Axes3D import matplotlib.pyplot as plt path=r"/Users/shaktimukker/Documents/MyProjects/projects/bacterial-growth-analysis/" data_x_vs_t=pd.read_excel(path+"data.xlsx",sheet_name="x_vs_t") # eq8 def fn_eq8(X,a1,a2,b0,b1,b2): Y = X[:, 0] T = X[:, 1] Tmin,Tmax=18,45 #a1,a2,b0,b1,b2=para_eq8[0],para_eq8[1],para_eq8[2],para_eq8[3],para_eq8[4] f=((a1*(T-Tmin)*(1-np.exp(a2*(T-Tmax))))**2)*(b0+b1*Y+b2*(Y**2)) return f #eq9 def fn_eq9(X,a1,a2,b0,b1,b2): Y = X[:, 0] T = X[:, 1] Tmin,Tmax=18,45 #a1,a2,b0,b1,b2=para_eq8[0],para_eq8[1],para_eq8[2],para_eq8[3],para_eq8[4] f=(a1*(T-Tmin)*(1-np.exp(a2*(T-Tmax)))**2)*(b0+b1*Y+b2*(Y**2)) return f # X vs t def x_vs_t(X,Xm,Um): t=X return Xm/(1+((Xm/C.X0)-1)*math.exp(-Um*t)) # CO2 vs t def co2_vs_t(X,Yxco2,Mco2): Xm,Um=1,2 t=X comn=1+((Xm/C.X0)-1)*math.exp(-Um*t) RHS1=1/(Yxco2*comn) RHS2=1/(Yxco2*(Xm/C.X0)) RHS3=(Mco2/Um)*math.log(comn/((Xm/C.X0)*math.exp(-Um*t))) return C.CCP0+Xm*(RHS1-RHS2+RHS3) def dco2dt_vs_t(X,Yxco2,Mco2): Xm,Um=1,2 t=X comn=1+((Xm/C.X0)-1)*math.exp(-Um*t) RHS1=1/(Yxco2*comn) RHS2=1/(Yxco2*(Xm/C.X0)) RHS3=(Mco2/Um)*math.log(comn/((Xm/C.X0)*math.exp(-Um*t))) return C.CCP0+Xm*(RHS1-RHS2+RHS3) guesses = [2.981,0.201,0.431,2.010,0.528] guesses=[2.189, 0.284, 0.418, 1.220 ,0.867] X=np.array(data[["Y","T"]].values.tolist()) f=data["Um"].values.tolist() popt, pcov = curve_fit(fn_eq9, X, f, guesses) sigma = np.sqrt(np.diag(pcov)) #plot X = np.column_stack(X[:,0], X[:,1]) # independent variables f = fn_eq8(X,*popt) fig = plt.figure() ax = fig.gca(projection = '3d') ax.plot(X[:,0], X[:,1], f) ax.set_xlabel('Y') ax.set_ylabel('T') ax.set_zlabel('f(Y,T)') plt.savefig('images/graphical-mulvar-1.png') ## APM %matplotlib inline import matplotlib.pyplot as plt import pandas as pd import numpy as np from scipy.optimize import curve_fit from sklearn.metrics import r2_score x=pd.read_csv("https://apmonitor.com/che263/uploads/Main/heart_rate.txt") x.describe() def bpm(t,c0,c1,c2,c3): return c0+c1*t-c2*np.exp(-c3*t) g=[100,.01,100,.01] t=x["Time (sec)"].values hr=x["Heart Rate (BPM)"].values g,cov=curve_fit(bpm,t,hr,g) y =[bpm(t,g[0],g[1],g[2],g[3]) for t in x["Time (sec)"]] plt.plot(x["Time (sec)"],x["Heart Rate (BPM)"]) plt.plot(x["Time (sec)"],y,'r.') print('R^2: ', r2_score(y,hr)) # x vs t %matplotlib inline import matplotlib.pyplot as plt import pandas as pd import numpy as np from scipy.optimize import curve_fit from sklearn.metrics import r2_score path=r"/Users/shaktimukker/Documents/MyProjects/projects/bacterial-growth-analysis/" data_x_vs_t=pd.read_excel(path+"data.xlsx",sheet_name="x_vs_t") data_x_vs_t.describe() # X vs t def x_vs_t(X,Xm,Um): t=X return Xm/(1+((Xm/C.X0)-1)*np.exp(-Um*t)) # dxdt vs time def dXdt_vs_time(X,Xm,Um): t=X X1=x_vs_t(X,Xm,Um) return Um*X1*(1-X1/Xm) g=[184,.33] t=data_x_vs_t["t"].values X=data_x_vs_t["x"].values g,cov=curve_fit(x_vs_t,t,X,g) y =[x_vs_t(t,g[0],g[1]) for t in X] plt.plot(t,X) plt.plot(t,y,'r') print('R^2: ', r2_score(X,y)) ####### co2 vs t %matplotlib inline import matplotlib.pyplot as plt import pandas as pd import numpy as np from scipy.optimize import curve_fit from sklearn.metrics import r2_score from sklearn.preprocessing import MinMaxScaler path=r"/Users/shaktimukker/Documents/MyProjects/projects/bacterial-growth-analysis/" data_co2_vs_t=pd.read_excel(path+"data.xlsx",sheet_name="co2_vs_t") data_co2_vs_t.describe() # CO2 vs t def co2_vs_t(X,Yxco2,Mco2): Xm,Um=184,.33 t=X comn=1+((Xm/C.X0)-1)*np.exp(-Um*t) RHS1=1/(Yxco2*comn) RHS2=1/(Yxco2*(Xm/C.X0)) RHS3=(Mco2/Um)*np.log(comn/((Xm/C.X0)*np.exp(-Um*t))) return C.CCP0+Xm*(RHS1-RHS2+RHS3) def dco2dt_vs_t(X,Yxco2,Mco2,Xm,Um): #Xm,Um=184,.33 t=X comn=1+((Xm/C.X0)-1)*np.exp(-Um*t) RHS1=Um/Yxco2 RHS2=RHS1*(1-1/(comn)) RHS3=RHS2+Mco2 return RHS3*Xm/comn g=[2.60,.005] t=data_co2_vs_t["t"].values X=data_co2_vs_t["co2"].values X=500*X g,cov=curve_fit(co2_vs_t,t,X,g) y =[co2_vs_t(t,g[0],g[1]) for t in X] plt.plot(t,X) plt.plot(t,y,'r') print('R^2: ', r2_score(y,X)) #print('R^2: ', r2_score(X,y)) #### knapsk problem from pyomo.environ import * A = ['hammer', 'wrench', 'screwdriver', 'towel'] b = {'hammer':8, 'wrench':3, 'screwdriver':6, 'towel':11} w = {'hammer':5, 'wrench':7, 'screwdriver':4, 'towel':3} W_max = 14 model = ConcreteModel() model.x = Var( A, within=Binary ) model.value = Objective(expr = sum( b[i]*model.x[i] for i in A), sense = maximize ) model.weight = Constraint(expr = sum( w[i]*model.x[i] for i in A) <= W_max ) opt = SolverFactory('glpk') result_obj = opt.solve(model, tee=True) model.pprint() # dxdt vs time def dXdt_vs_time(): return C.Um*X(m)*(1-X(m)/C.Xm) # dco2dt vs time ## example from pyomo.environ import * from pyomo.dae import * pi=3.1416 m = ConcreteModel() #m.pi = Param(initialize=pi) m.t = ContinuousSet(bounds=(0,2)) m.x = ContinuousSet(bounds=(0,1)) m.y = ContinuousSet(bounds=(0,1)) m.u = Var(m.x,m.y,m.t) m.dudx = DerivativeVar(m.u,wrt=m.x) m.dudx2 = DerivativeVar(m.u,wrt=(m.x,m.x)) m.dudy = DerivativeVar(m.u,wrt=m.y) m.dudy2 = DerivativeVar(m.u,wrt=(m.y,m.y)) m.dudt = DerivativeVar(m.u,wrt=m.t) def _pde(m,i,j,k): if i == 0 or i == 1 or j== 0 or j == 1 or k == 0 : return Constraint.Skip return pi**2*m.dudt[i,j,k] == m.dudx2[i,j,k] m.pde = Constraint(m.x,m.y,m.t,rule=_pde) def _initcon(m,i,j): if i == 0 or i == 1 or j == 0 or j == 1: return Constraint.Skip return m.u[i,j,0] == sin(pi*i) m.initcon = Constraint(m.x,m.y,rule=_initcon) def _lowerboundx(m,j,k): return m.u[0,j,k] == 0 m.lowerboundx = Constraint(m.t,m.y,rule=_lowerbound) def _upperboundx(m,j,k): return pi*exp(-j)+m.dudx[1,j,k] == 0 m.upperboundx = Constraint(m.t,rule=_upperbound) def _lowerboundy(m,i,k): return m.u[i,0,k] == 0 m.lowerboundy = Constraint(m.t,rule=_lowerbound) def _upperboundy(m,j,k): return pi*exp(-j)+m.dudx[i,1,k] == 0 m.upperboundy = Constraint(m.t,rule=_upperbound) m.obj = Objective(expr=1) # Discretize using Orthogonal Collocation # discretizer = TransformationFactory('dae.collocation') # discretizer.apply_to(m,nfe=10,ncp=3,wrt=m.x) # discretizer.apply_to(m,nfe=20,ncp=3,wrt=m.t) # Discretize using Finite Difference and Collocation # ============================================================================= # discretizer = TransformationFactory('dae.finite_difference') # discretizer2 = TransformationFactory('dae.collocation') # discretizer.apply_to(m,nfe=25,wrt=m.x,scheme='BACKWARD') # discretizer2.apply_to(m,nfe=20,ncp=3,wrt=m.t) # ============================================================================= # Discretize using Finite Difference Method discretizer = TransformationFactory('dae.finite_difference') discretizer.apply_to(m,nfe=25,wrt=m.x,scheme='BACKWARD') discretizer.apply_to(m,nfe=25,wrt=m.y,scheme='BACKWARD') discretizer.apply_to(m,nfe=20,wrt=m.t,scheme='BACKWARD') solver=SolverFactory('ipopt') results = solver.solve(m,tee=True) x = [] t = [] u = [] for i in sorted(m.x): temp=[] tempx = [] for j in sorted(m.t): tempx.append(i) temp.append(value(m.u[i,j])) x.append(tempx) t.append(sorted(m.t)) u.append(temp) import numpy import matplotlib.pyplot as plt from mpl_toolkits.mplot3d.axes3d import Axes3D fig = plt.figure() ax = fig.add_subplot(1,1,1,projection='3d') ax.set_xlabel('Distance x') ax.set_ylabel('Time t') p = ax.plot_wireframe(np.array(x),np.array(t),np.array(u),rstride=1,cstride=1) fig.show() ############ m2 from pyomo.environ import * from pyomo.dae import * m = ConcreteModel() m.time = ContinuousSet(bounds=(0,1)) m.x = ContinuousSet(bounds=(0,10)) m.y = ContinuousSet(bounds=(0,5)) m.T = Var(m.x,m.y,m.time) m.u = Var(m.x,m.y,m.time) m.T0 = Param(initialize=5) m.TD = Param(m.x,m.y,initialize=25) m.Ux0 = Param(initialize=10) m.Uy5 = Param(initialize=15) m.dTdx = DerivativeVar(m.T,wrt=m.x) m.d2Tdx2 = DerivativeVar(m.T,wrt=(m.x,m.x)) m.dTdy = DerivativeVar(m.T,wrt=m.y) m.d2Tdy2 = DerivativeVar(m.T,wrt=(m.y,m.y)) m.dTdt = DerivativeVar(m.T,wrt=m.time) def _heateq(m,i,j,k): return m.d2Tdx2[i,j,k] + m.d2Tdy2[i,j,k] + m.u[i,j,k] == m.dTdt[i,j,k] m.heateq = Constraint(m.x,m.y,m.time,rule=_heateq) def _initT(m,i,j): return m.T[i,j,0] == m.T0 m.initT = Constraint(m.x,m.y,rule=_initT) def _xbound(m,j,k): return m.dTdx[0,j,k] == m.Ux0 m.xbound = Constraint(m.y,m.time,rule=_xbound) def _ybound(m,i,k): return m.dTdy[i,5,k] == m.Uy5 m.ybound = Constraint(m.x,m.time,rule=_ybound) # def _intExp(m,i,j): # return m.T[i,j,1] - m.TD[i,j] # m.intExp = Expression(m.x,m.y,rule=_intExp) # def _obj(m): # return Integral(Integral(expr=m.intExp,wrt=m.x,bounds=(0,10)), # wrt=m.y,bounds=(0,5)) # m.obj = Objective(rule=_obj) m.obj = Objective(expr=1) # Discretize using Orthogonal Collocation # discretizer = TransformationFactory('dae.collocation') # discretizer.apply_to(m,nfe=10,ncp=3,wrt=m.x) # discretizer.apply_to(m,nfe=20,ncp=3,wrt=m.t) # Discretize using Finite Difference and Collocation # ============================================================================= # discretizer = TransformationFactory('dae.finite_difference') # discretizer2 = TransformationFactory('dae.collocation') # discretizer.apply_to(m,nfe=25,wrt=m.x,scheme='BACKWARD') # discretizer2.apply_to(m,nfe=20,ncp=3,wrt=m.t) # ============================================================================= # Discretize using Finite Difference Method discretizer = TransformationFactory('dae.finite_difference') discretizer.apply_to(m,nfe=25,wrt=m.x,scheme='BACKWARD') discretizer.apply_to(m,nfe=25,wrt=m.y,scheme='BACKWARD') discretizer.apply_to(m,nfe=20,wrt=m.time,scheme='BACKWARD') solver=SolverFactory('ipopt') results = solver.solve(m,tee=True) out=[] for i in sorted(m.x): for j in sorted(m.y): for k in sorted(m.time): out.append([i,j,k,value(m.u[i,j,k])]) outDF=pd.DataFrame(out,columns=["x","y","t","u"]) outDF=outDF.sort_values(by="t") ### m3 from pyomo.environ import * from pyomo.dae import * m = ConcreteModel() m.time = ContinuousSet(bounds=(0,1)) m.x = ContinuousSet(bounds=(0,10)) m.y = ContinuousSet(bounds=(0,5)) m.T = Var(m.x,m.y,m.time) m.u = Var(m.x,m.y,m.time) m.T0 = Param(initialize=5) m.TD = Param(m.x,m.y,initialize=25) m.Ux0 = Param(initialize=10) m.Uy5 = Param(initialize=15) m.dTdx = DerivativeVar(m.T,wrt=m.x) m.d2Tdx2 = DerivativeVar(m.T,wrt=(m.x,m.x)) m.dTdy = DerivativeVar(m.T,wrt=m.y) m.d2Tdy2 = DerivativeVar(m.T,wrt=(m.y,m.y)) m.dTdt = DerivativeVar(m.T,wrt=m.time) def _heateq(m,i,j,k): return m.d2Tdx2[i,j,k] + m.d2Tdy2[i,j,k] + m.u[i,j,k] == m.dTdt[i,j,k] m.heateq = Constraint(m.x,m.y,m.time,rule=_heateq) def _initT(m,i,j): return m.T[i,j,0] == m.T0 m.initT = Constraint(m.x,m.y,rule=_initT) def _xbound(m,j,k): return m.dTdx[0,j,k] == m.Ux0 m.xbound = Constraint(m.y,m.time,rule=_xbound) def _ybound(m,i,k): return m.dTdy[i,5,k] == m.Uy5 m.ybound = Constraint(m.x,m.time,rule=_ybound) # def _intExp(m,i,j): # return m.T[i,j,1] - m.TD[i,j] # m.intExp = Expression(m.x,m.y,rule=_intExp) # def _obj(m): # return Integral(Integral(expr=m.intExp,wrt=m.x,bounds=(0,10)), # wrt=m.y,bounds=(0,5)) # m.obj = Objective(rule=_obj) m.obj = Objective(expr=1) # Discretize using Orthogonal Collocation # discretizer = TransformationFactory('dae.collocation') # discretizer.apply_to(m,nfe=10,ncp=3,wrt=m.x) # discretizer.apply_to(m,nfe=20,ncp=3,wrt=m.t) # Discretize using Finite Difference and Collocation # ============================================================================= # discretizer = TransformationFactory('dae.finite_difference') # discretizer2 = TransformationFactory('dae.collocation') # discretizer.apply_to(m,nfe=25,wrt=m.x,scheme='BACKWARD') # discretizer2.apply_to(m,nfe=20,ncp=3,wrt=m.t) # ============================================================================= # Discretize using Finite Difference Method discretizer = TransformationFactory('dae.finite_difference') discretizer.apply_to(m,nfe=25,wrt=m.x,scheme='BACKWARD') discretizer.apply_to(m,nfe=25,wrt=m.y,scheme='BACKWARD') discretizer.apply_to(m,nfe=20,wrt=m.time,scheme='BACKWARD') solver=SolverFactory('ipopt') results = solver.solve(m,tee=True) out=[] for i in sorted(m.x): for j in sorted(m.y): for k in sorted(m.time): out.append([i,j,k,value(m.u[i,j,k])]) outDF=pd.DataFrame(out,columns=["x","y","t","u"]) outDF=outDF.sort_values(by="t") ###### bed water ####### co2 vs t data_co2_vs_t=pd.read_excel(path+"data.xlsx",sheet_name="co2_vs_t") print(data_co2_vs_t.describe()) # CO2 vs t # X vs t def x_vs_t(t,Xm,Um): try : return Xm/(1+((Xm/C.X0)-1)*np.exp(-Um*t)) except Exception as e: print("'x_vs_t' "+"method execution Falied") print("Exception is ",str(e)) # dxdt vs time def dXdt_vs_time(t,Xm,Um): try: X1=x_vs_t(t,Xm,Um) return Um*X1*(1-X1/Xm) except Exception as e: print("'dXdt_vs_time' "+"method execution Falied") print("Exception is ",str(e)) # dPdt vs time Generalise def dPdt_vs_t(t,Yxp,Mp,Xm=183,Um=.33): try : #Xm,Um=184,.33 return Yxp*dXdt_vs_time(t,Xm,Um)+Mp*x_vs_t(t,Xm,Um) except Exception as e: print("'dPdt_vs_t' "+"method execution Falied") print("Exception is ",str(e)) # dHdt vs time def dHdt_vs_t(T): try : RHS1=.62413*C.b*C.p RHS2=(T+C.c)**2 RHS3=C.d*np.exp(C.a-C.b/(T+C.c)) RHS4=(C.p/RHS3-1)**2 return RHS1/(RHS2*RHS4*RHS3) except Exception as e: print("'dHdt_vs_t' "+"method execution Falied") print("Exception is ",str(e)) # dTdz vs time def dTdz_vs_t(outDF): try: tempZ=outDF[(outDF["z"]==outDF["z"].max())&(outDF["r"]==outDF["r"].max())]['u'] tempZ0=outDF[(outDF["z"]==outDF["z"].min())&(outDF["r"]==outDF["r"].max())]['u'] return (np.array(tempZ)-np.array(tempZ0))/outDF["z"].max() except Exception as e: print("'dTdz_vs_t' "+"method execution Falied") print("Exception is ",str(e)) # Revap vs time # outDF ['t', 'z', 'r', 'u'] def Revap_vs_t(outDF): try : dhdt=[dHdt_vs_t(temp) for temp in outDF.groupby("t")["u"].mean().values.tolist()] return C.rhoA*C.Vz*C.V*dTdz_vs_t(outDF)*np.array(dhdt) except Exception as e: print("'Revap_vs_t' "+"method execution Falied") print("Exception is ",str(e)) # dBWdt vs time def dBWdt_vs_t(outDF): try : return np.array(dPdt_vs_t(outDF['t'].unique(),C.Yxw,C.Mw,C.Xm,C.Um))-np.array(Revap_vs_t(outDF))/C.IDS except Exception as e: print("'dBWdt_vs_t' "+"method execution Falied") print("Exception is ",str(e)) # dco2dt vs time t=data_co2_vs_t["t"].values Yxp,Mp=3.3,.01 Xm,Um=183,.33 dPdt_vs_t(t,Yxp,Mp,Xm,Um) # dwdt vs time t=data_co2_vs_t["t"].values Yxp,Mp=3.3,.01 Xm,Um=183,.33 y=dPdt_vs_t(t,Yxp,Mp,Xm,Um) # dBWdt vs time y=dBWdt_vs_t(outDF) plt.plot(t,dPdt_vs_t(t,Yxp,Mp,Xm,Um),label='Estimated dW/dt') plt.xlabel("Time (Hours)") plt.ylabel("dW/dt") plt.title("dW/dt vs time") plt.legend() plt.show() plt.plot(outDF['t'].unique(),dBWdt_vs_t(outDF),label='Estimated dBW/dt') plt.xlabel("Time (Hours)") plt.ylabel("dBW/dt") plt.title("dBW/dt' vs time") plt.legend() plt.show() outDF.columns outDF.rename(columns={"x":"z"},inplace=True) outDF=outDF[['t','z', 'r', 'u']] ## outDF['t'].nunique() outDF['x'].nunique() outDF['y'].nunique() 26*26*21 len(outDF) ################## m4 ###### bed water ### Heat Equation m = ConcreteModel() m.t = ContinuousSet(bounds=(0,200)) m.z = ContinuousSet(bounds=(0,C.Z)) m.r = ContinuousSet(bounds=(0,C.R)) m.T = Var(m.z,m.r,m.t) m.u = Var(m.z,m.r,m.t) m.T0 = Param(initialize=5) m.TD = Param(m.z,m.r,initialize=25) m.Ux0 = Param(initialize=10) m.Uy5 = Param(initialize=15) m.dTdz = DerivativeVar(m.T,wrt=m.z) m.d2Tdz2 = DerivativeVar(m.T,wrt=(m.z,m.z)) m.dTdr = DerivativeVar(m.T,wrt=m.r) m.d2Tdr2 = DerivativeVar(m.T,wrt=(m.r,m.r)) m.dTdt = DerivativeVar(m.T,wrt=m.t) def X(m): return "C.Xm/(1+((C.Xm/C.X0)-1)*exp(-C.Um*k))" def dXdt(m): return "C.Um*{0}*(1-{1}/C.Xm)".format(X(m),X(m)) def dHdT1(m): return ".62413*C.b*C.p" def dHdT2(m): return "(m.T[i,j,k]+C.c)**2" def dHdT3(m): return "C.d*exp(C.a-C.b/(m.T[i,j,k]+C.c))" def dHdT4(m): return "(C.p/{0}-1)**2".format(dHdT3(m)) def dHdT(m): return "{0}/({1}*{2}*{3})".format(dHdT1(m),dHdT2(m),dHdT4(m),dHdT3(m)) def Cpb(m): return "(C.epi*C.rhoA*(C.Cpa+C.lmbda*{0}+(1-C.epi)*C.rhoS*C.Cps))/C.rhoB".format(dHdT(m)) def heRHS(m): return "C.rhoB*{0}*m.dTdt[i,j,k]".format(Cpb(m)) def heLHS1(m): return "C.rhoS*(1-C.epi)*C.YQ*{0}".format(dXdt(m)) def heLHS2(m): return "C.rhoA*C.Cpa*C.Vz*m.dTdz[i,j,k]" def heLHS3(m): return "C.rhoA*C.lmbda*C.Vz*{0}*m.dTdz[i,j,k]".format(dHdT(m)) def heLHS4(m): return "C.Kb*m.d2Tdz2[i,j,k]" def heLHS5(m): return "C.Kb*m.dTdr[i,j,k]/(.01+j)+C.Kb*m.d2Tdr2[i,j,k]" def _heateq(m,i,j,k): return heLHS1(m)-heLHS2(m)-heLHS3(m)+heLHS4(m)+heLHS5(m) == f11(heRHS(m)) def _heateq(m,i,j,k): return -heLHS3(m)+heLHS4(m)+heLHS5(m) == heRHS(m) def _heateq(m,i,j,k): eqString=heLHS1(m)+"-"+heLHS2(m)+"-"+heLHS3(m)+"+"+heLHS4(m)+"+"+heLHS5(m)+"=="+heRHS(m) #eqString=heLHS1(m)+"-"+heLHS2(m)+"-"+heLHS3(m)+"+"+heLHS4(m)+"+"+heLHS5(m) +"=="+heRHS(m) #eqString=" m.d2Tdz2[i,j,k] + m.d2Tdr2[i,j,k] + m.u[i,j,k] == "+heRHS(m) #eqString=' m.d2Tdz2[i,j,k] + m.d2Tdr2[i,j,k] + m.u[i,j,k] == C.rhoB*(C.epi*C.rhoA*(C.Cpa+C.lmbda*.62413*C.b*C.p/((m.T[i,j,k]+C.c)**2*(C.p/C.d*exp(C.a-C.b/(m.T[i,j,k]+C.c))-1)**2*C.d*exp(C.a-C.b/(m.T[i,j,k]+C.c)))+(1-C.epi)*C.rhoS*C.Cps))/C.rhoB*m.dTdt[i,j,k]' print(eqString) #return m.d2Tdz2[i,j,k] + m.d2Tdr2[i,j,k] + m.u[i,j,k] == eval(heRHS(m)) return eval(eqString) #def _heateq(m,i,j,k): #return m.d2Tdx2[i,j,k] + m.d2Tdy2[i,j,k] + m.u[i,j,k] == m.dTdt[i,j,k] m.heateq = Constraint(m.z,m.r,m.t,rule=_heateq) m.d2Tdz2[i,j,k] + m.d2Tdr2[i,j,k] + m.u[i,j,k] == C.rhoB*(C.epi*C.rhoA*(C.Cpa+C.lmbda*.62413*C.b*C.p/((m.T[i,j,k]+C.c)**2*(C.p/C.d*np.exp(C.a-C.b/(m.T[i,j,k]+C.c))-1)**2*C.d*np.exp(C.a-C.b/(m.T[i,j,k]+C.c)))+(1-C.epi)*C.rhoS*C.Cps))/C.rhoB*m.dTdt[i,j,k] m.ic = Constraint(m.z,m.r, rule=lambda m, z, r: m.T[0,z,r] == 27) m.bc1 = Constraint(m.t,m.r, rule=lambda m, t,r: m.dTdz[t,C.Z,r] == 0 if t > 0 else Constraint.Skip) m.bc2 = Constraint(m.t,m.r, rule=lambda m, t,r: m.T[t,0,r] == C.Ta) m.bc3 = Constraint(m.t,m.z, rule=lambda m, t,z: m.dTdz[t,z,0] == 0 if t > 0 else Constraint.Skip) m.bc4 = Constraint(m.t,m.z, rule=lambda m, t,z: C.Kb*m.dTdr[t,z,C.R]+C.h*(m.T[t,z,C.R]-C.Tj)==0) def _initT(m,i,j): return m.T[i,j,0] == C.T0 m.initT = Constraint(m.z,m.r,rule=_initT) def _zl_bound(m,j,k): return m.T[0,j,k] == C.Ta m.zl_bound = Constraint(m.r,m.t,rule=_zl_bound) def _zu_bound(m,j,k): return m.dTdz[C.Z,j,k] == 0 m.zu_bound = Constraint(m.r,m.t,rule=_zu_bound) def _rl_bound(m,i,k): return m.dTdz[i,0,k] == 0 m.rl_bound = Constraint(m.z,m.t,rule=_rl_bound) def _ru_bound(m,i,k): return C.Kb*m.dTdr[i,C.R,k]+C.h*(m.T[i,C.R,k]-C.Tj)==0 m.ru_bound = Constraint(m.z,m.t,rule=_ru_bound) m.obj = Objective(expr=1) # Discretize using Finite Difference Method discretizer = TransformationFactory('dae.finite_difference') discretizer.apply_to(m,nfe=20,wrt=m.z,scheme='CENTRAL') discretizer.apply_to(m,nfe=20,wrt=m.r,scheme='CENTRAL') discretizer.apply_to(m,nfe=20,wrt=m.t,scheme='CENTRAL') solver=SolverFactory('ipopt') results = solver.solve(m,tee=True) out=[] for i in sorted(m.t): for j in sorted(m.z): for k in sorted(m.r): out.append([i,j,k,value(m.u[j,k,i])]) outDF=pd.DataFrame(out,columns=["t","z","r","u"]) outDF=outDF.sort_values(by="t") # X vs t def x_vs_t(t,Xm,Um): try : return Xm/(1+((Xm/C.X0)-1)*np.exp(-Um*t)) except Exception as e: print("'x_vs_t' "+"method execution Falied") print("Exception is ",str(e)) # dxdt vs time def dXdt_vs_time(t,Xm,Um): try: X1=x_vs_t(t,Xm,Um) return Um*X1*(1-X1/Xm) except Exception as e: print("'dXdt_vs_time' "+"method execution Falied") print("Exception is ",str(e)) # dPdt vs time Generalise def dPdt_vs_t(t,Yxp,Mp,Xm=183,Um=.33): try : #Xm,Um=184,.33 return Yxp*dXdt_vs_time(t,Xm,Um)+Mp*x_vs_t(t,Xm,Um) except Exception as e: print("'dPdt_vs_t' "+"method execution Falied") print("Exception is ",str(e)) # dHdt vs time def dHdt_vs_t(T): try : RHS1=.62413*C.b*C.p RHS2=(T+C.c)**2 RHS3=C.d*np.exp(C.a-C.b/(T+C.c)) RHS4=(C.p/RHS3-1)**2 return RHS1/(RHS2*RHS4*RHS3) except Exception as e: print("'dHdt_vs_t' "+"method execution Falied") print("Exception is ",str(e)) # dTdz vs time def dTdz_vs_t(outDF): try: tempZ=outDF[(outDF["z"]==outDF["z"].max())&(outDF["r"]==outDF["r"].max())]['u'] tempZ0=outDF[(outDF["z"]==outDF["z"].min())&(outDF["r"]==outDF["r"].max())]['u'] return (np.array(tempZ)-np.array(tempZ0))/outDF["z"].max() except Exception as e: print("'dTdz_vs_t' "+"method execution Falied") print("Exception is ",str(e)) # Revap vs time # outDF ['t', 'z', 'r', 'u'] def Revap_vs_t(outDF): try : dhdt=[dHdt_vs_t(temp) for temp in outDF.groupby("t")["u"].mean().values.tolist()] return C.rhoA*C.Vz*C.V*dTdz_vs_t(outDF)*np.array(dhdt) except Exception as e: print("'Revap_vs_t' "+"method execution Falied") print("Exception is ",str(e)) # dBWdt vs time def dBWdt_vs_t(outDF): try : return np.array(dPdt_vs_t(outDF['t'].unique(),C.Yxw,C.Mw,C.Xm,C.Um))-np.array(Revap_vs_t(outDF))/C.IDS except Exception as e: print("'dBWdt_vs_t' "+"method execution Falied") print("Exception is ",str(e)) # dBWdt vs time y=dBWdt_vs_t(outDF) plt.plot(outDF['t'].unique(),dBWdt_vs_t(outDF),label='Estimated dBW/dt') plt.xlabel("Time (Hours)") plt.ylabel("dBW/dt") plt.title("dBW/dt' vs time") plt.legend() plt.show() ## equation m.d2Tdz2[i,j,k] + m.d2Tdr2[i,j,k] + m.u[i,j,k] == C.rhoB*(C.epi*C.rhoA*(C.Cpa+C.lmbda*.62413*C.b*C.p/((m.T[i,j,k]+C.c)**2* (C.p/C.d*math.exp(C.a-C.b/(m.T[i,j,k]+C.c))-1)**2* C.d*np.exp(C.a-C.b/(m.T[i,j,k]+C.c)))+(1-C.epi)* C.rhoS*C.Cps))/C.rhoB*m.dTdt[i,j,k] data = {'a':[600, 600, 600, 600, 600, 600, 600], 'b': ['a', 'b', 'b', 'a', 'a', 'a', 'a']} data = pd.DataFrame(data) test = data.loc[(data['a'] > 0) & (data['b']=='a'), 'a'] eqString=' m.d2Tdz2[i,j,k] + m.d2Tdr2[i,j,k] + m.u[i,j,k] == C.rhoB*(C.epi*C.rhoA*(C.Cpa+C.lmbda*.62413*C.b*C.p/((m.T[i,j,k]+C.c)**2*(C.p/C.d*math.exp(C.a-C.b/(m.T[i,j,k]+C.c))-1)**2*C.d*math.exp(C.a-C.b/(m.T[i,j,k]+C.c)))+(1-C.epi)*C.rhoS*C.Cps))/C.rhoB*m.dTdt[i,j,k]' np.exp(test) x2=5 np.exp([1,2]) math.exp(2) df3=outDF[outDF.t==0] df3.columns pivot = df3.pivot_table(index=['z'], values=['r'], aggfunc='max')

29.897881

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0.618902

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31,034

3.085326

0.074353

0.016561

0.010829

0.018685

0.861564

0.823611

0.803705

0.776634

0.748925

0.737141

0

0.044719

0.139653

31,034

1,037

270

29.926712

0.660861

0

0.65488

0

0.009901

0.109408

0.046478

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null

0

0.07355

null

0.048091

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null

0

1

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null

0

1

0

7

7ce9d90709d88fbafeda91829b7281a0835d3dc0

210,170

py

Python

desktop/libs/dashboard/src/dashboard/tests.py

linwukang/hue

93a8c370713e70b216c428caa2f75185ef809deb

[ "Apache-2.0" ]

1

2019-06-23T13:22:07.000Z

desktop/libs/dashboard/src/dashboard/tests.py

zks888/hue

93a8c370713e70b216c428caa2f75185ef809deb

[ "Apache-2.0" ]

4

2021-03-11T04:02:00.000Z

2022-03-27T08:31:56.000Z

desktop/libs/dashboard/src/dashboard/tests.py

zks888/hue

93a8c370713e70b216c428caa2f75185ef809deb

[ "Apache-2.0" ]

1

2017-11-09T09:31:28.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- # Licensed to Cloudera, Inc. under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. Cloudera, Inc. licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import json from django.contrib.auth.models import User from django.urls import reverse from nose.tools import assert_true, assert_false, assert_equal, assert_not_equal from desktop.lib.django_test_util import make_logged_in_client from desktop.lib.test_utils import grant_access from desktop.lib.rest import resource from desktop.models import Document2 from dashboard.facet_builder import _round_number_range from dashboard.models import Collection2, augment_response from dashboard.controller import DashboardController QUERY = {'qs': [{'q': ''}], 'fqs': [], 'start': 0} def test_ranges(): assert_equal((90, 100), _round_number_range(99)) assert_equal((0, 100), _round_number_range(100)) assert_equal((0, 100), _round_number_range(101)) assert_equal((8000000, 9000000), _round_number_range(9045352)) class MockResource(): RESPONSE = None def __init__(self, client): pass @classmethod def set_solr_response(cls, response): MockResource.RESPONSE = response def invoke(self, method, *args, **kwargs): if method.lower() == 'head': return self.head(*args, **kwargs) elif method.lower() == 'get': return self.get(*args, **kwargs) else: raise Exception('do not know how to handle %s' % method) def head(self, *args, **kwargs): return '' def get(self, *args, **kwargs): if 'collection_1/admin/file' in args[0]: return SOLR_SCHEMA elif 'collection_1/admin/luke' in args[0]: if ('show', 'schema') in kwargs['params']: return SOLR_LUKE_SCHEMA else: return SOLR_LUKE_ elif 'admin/collections' in args[0]: return {'collections': ['collection_1'], 'aliases': []} else: return MockResource.RESPONSE class TestSearchBase(object): def setUp(self): self.c = make_logged_in_client(username='test_dashboard', is_superuser=False) self.client_not_me = make_logged_in_client(username="not_perm_user", groupname="default", recreate=True, is_superuser=False) self.user = User.objects.get(username='test_dashboard') self.user_not_me = User.objects.get(username="not_perm_user") grant_access('test_dashboard', 'test_dashboard', 'dashboard') grant_access(self.user.username, self.user.username, "desktop") grant_access('not_perm_user', 'not_perm_user', 'dashboard') grant_access(self.user_not_me.username, self.user_not_me.username, "desktop") self.home_dir = Document2.objects.get_home_directory(user=self.user) self.prev_resource = resource.Resource resource.Resource = MockResource self.collection = Collection2(user=self.user, name='collection_1') MockResource.set_solr_response("""{ "responseHeader": { "status": 0, "QTime": 0, "params": { "indent": "true", "q": "*:*", "_": "1442953203972", "wt": "json" } }, "response": { "numFound": 1, "start": 0, "docs": [ { "id": "change.me", "title": [ "val1", "val2", "[val3]", "val4" ], "_version_": 1513046095083602000 } ] } }""") def tearDown(self): # Remove monkey patching resource.Resource = self.prev_resource class TestWithMockedSolr(TestSearchBase): def _get_collection_param(self, collection): col_json = json.loads(collection.get_json(self.user)) return col_json['collection'] def test_index(self): response = self.c.get(reverse('dashboard:index')) assert_true('dashboard' in response.content, response.content) def test_share_dashboard(self): doc = Document2.objects.create(name='test_dashboard', type='search-dashboard', owner=self.user, data=self.collection.data, parent_directory=self.home_dir) # owner can view document response = self.c.get('/desktop/api2/doc/', {'uuid': doc.uuid}) data = json.loads(response.content) assert_equal(doc.uuid, data['document']['uuid'], data) # other user cannot view document response = self.client_not_me.get('/desktop/api2/doc/', {'uuid': doc.uuid}) data = json.loads(response.content) assert_equal(-1, data['status']) # There are no collections with user_not_me controller = DashboardController(self.user_not_me) hue_collections = controller.get_search_collections() assert_true(len(hue_collections) == 0) # Share read perm by users response = self.c.post("/desktop/api2/doc/share", { 'uuid': json.dumps(doc.uuid), 'data': json.dumps({ 'read': { 'user_ids': [ self.user.id, self.user_not_me.id ], 'group_ids': [], }, 'write': { 'user_ids': [], 'group_ids': [], } }) }) assert_equal(0, json.loads(response.content)['status'], response.content) assert_true(doc.can_read(self.user)) assert_true(doc.can_write(self.user)) assert_true(doc.can_read(self.user_not_me)) assert_false(doc.can_write(self.user_not_me)) # other user can view document response = self.client_not_me.get('/desktop/api2/doc/', {'uuid': doc.uuid}) data = json.loads(response.content) assert_equal(doc.uuid, data['document']['uuid'], data) # other user can open dashboard response = self.c.post(reverse('dashboard:search'), { 'collection': json.dumps(self._get_collection_param(self.collection)), 'query': json.dumps(QUERY) }) data = json.loads(response.content) assert_true('response' in data, data) assert_true('docs' in data['response'], data) # For self.user_not_me controller = DashboardController(self.user_not_me) hue_collections = controller.get_search_collections() assert_equal(len(hue_collections), 1) assert_equal(hue_collections[0].name, 'test_dashboard') hue_collections = controller.get_owner_search_collections() assert_equal(len(hue_collections), 0) hue_collections = controller.get_shared_search_collections() assert_equal(len(hue_collections), 0) # For self.user controller = DashboardController(self.user) hue_collections = controller.get_search_collections() assert_equal(len(hue_collections), 1) assert_equal(hue_collections[0].name, 'test_dashboard') hue_collections = controller.get_owner_search_collections() assert_equal(len(hue_collections), 1) assert_equal(hue_collections[0].name, 'test_dashboard') hue_collections = controller.get_shared_search_collections() assert_equal(len(hue_collections), 1) assert_equal(hue_collections[0].name, 'test_dashboard') user_not_me_home_dir = Document2.objects.get_home_directory(user=self.user_not_me) doc1 = Document2.objects.create(name='test_dashboard1', type='search-dashboard', owner=self.user_not_me, data=self.collection.data, parent_directory=user_not_me_home_dir) # self.user_not_me can view document response = self.client_not_me.get('/desktop/api2/doc/', {'uuid': doc1.uuid}) data = json.loads(response.content) assert_equal(doc1.uuid, data['document']['uuid'], data) # self.user cannot view document response = self.c.get('/desktop/api2/doc/', {'uuid': doc1.uuid}) data = json.loads(response.content) assert_equal(-1, data['status']) # Share read perm by users response = self.client_not_me.post("/desktop/api2/doc/share", { 'uuid': json.dumps(doc1.uuid), 'data': json.dumps({ 'read': { 'user_ids': [ self.user.id, ], 'group_ids': [], }, 'write': { 'user_ids': [], 'group_ids': [], } }) }) assert_equal(0, json.loads(response.content)['status'], response.content) assert_true(doc1.can_read(self.user)) assert_false(doc1.can_write(self.user)) assert_true(doc1.can_read(self.user_not_me)) assert_true(doc1.can_write(self.user_not_me)) # For self.user_not_me controller = DashboardController(self.user_not_me) hue_collections = controller.get_search_collections() assert_equal(len(hue_collections), 2) hue_collections = controller.get_owner_search_collections() assert_equal(len(hue_collections), 1) assert_equal(hue_collections[0].name, 'test_dashboard1') hue_collections = controller.get_shared_search_collections() assert_equal(len(hue_collections), 1) assert_equal(hue_collections[0].name, 'test_dashboard1') # For self.user controller = DashboardController(self.user) hue_collections = controller.get_search_collections() assert_equal(len(hue_collections), 2) hue_collections = controller.get_owner_search_collections() assert_equal(len(hue_collections), 1) assert_equal(hue_collections[0].name, 'test_dashboard') hue_collections = controller.get_shared_search_collections() assert_equal(len(hue_collections), 1) assert_equal(hue_collections[0].name, 'test_dashboard') def test_update_document(self): # Regular user response = self.c.post(reverse('dashboard:update_document'), { 'collection': json.dumps(self._get_collection_param(self.collection)), 'document': json.dumps({'hasChanged': False}) }) data = json.loads(response.content) assert_equal(0, data['status'], response.content) assert_true('no modifications to change' in data['message'], response.content) # Admin c = make_logged_in_client(username='admin', is_superuser=True, recreate=True) response = c.post(reverse('dashboard:update_document'), { 'collection': json.dumps(self._get_collection_param(self.collection)), 'document': json.dumps({'hasChanged': False}) }) data = json.loads(response.content) assert_equal(0, data['status'], response.content) assert_true('no modifications to change' in data['message'], response.content) def test_strip_nulls(self): response = '{"uid":"1111111","method":"check_user"}\x00' response = json.loads(response.replace('\x00', '')) # Does not call real API def test_convert_schema_fields_to_luke(self): schema_fields = {u'fields': [ {u'indexed': True, u'stored': True, u'type': u'long', u'name': u'_version_'}, {u'indexed': True, u'stored': True, u'required': True, u'type': u'tdate', u'name': u'created_at'}, {u'indexed': True, u'stored': True, u'required': True, u'type': u'string', u'name': u'expanded_url'}, {u'uniqueKey': True, u'name': u'id', u'required': True, u'stored': True, u'indexed': True, u'type': u'tlong'}, {u'indexed': True, u'stored': True, u'required': True, u'type': u'tlong', u'name': u'in_reply_to_status_id'}, {u'indexed': True, u'stored': True, u'required': True, u'type': u'tint', u'name': u'in_reply_to_user_id'}, {u'indexed': True, u'stored': True, u'required': True, u'type': u'string', u'name': u'media_url_https'}, {u'indexed': True, u'stored': True, u'required': True, u'type': u'tint', u'name': u'retweet_count'}, {u'indexed': True, u'stored': True, u'required': True, u'type': u'text_general', u'name': u'source'}, {u'indexed': True, u'stored': True, u'required': True, u'type': u'text_general', u'name': u'text'}, {u'indexed': True, u'stored': True, u'required': True, u'type': u'tint', u'name': u'user_followers_count'}, {u'indexed': True, u'stored': True, u'required': True, u'type': u'tint', u'name': u'user_friends_count'}, {u'indexed': True, u'stored': True, u'required': True, u'type': u'string', u'name': u'user_location'}, {u'indexed': True, u'stored': True, u'required': True, u'type': u'text_general', u'name': u'user_name'}, {u'indexed': True, u'stored': True, u'required': True, u'type': u'string', u'name': u'user_screen_name'}, {u'indexed': True, u'stored': True, u'required': True, u'type': u'tint', u'name': u'user_statuses_count'} ], u'responseHeader': {u'status': 0, u'QTime': 1} } assert_equal([ {'uniqueKey': None, 'copySources': [], 'flags': u'I-S-----OF-----l', 'required': True, 'type': u'long', u'copyDests': []}, {'uniqueKey': None, 'copySources': [], 'flags': u'I-S-----OF-----l', 'required': True, 'type': u'string', u'copyDests': []}, {'uniqueKey': None, 'copySources': [], 'flags': u'I-S-----OF-----l', 'required': True, 'type': u'string', u'copyDests': []}, {'uniqueKey': None, 'copySources': [], 'flags': u'I-S-----OF-----l', 'required': True, 'type': u'string', u'copyDests': []}, {'uniqueKey': None, 'copySources': [], 'flags': u'I-S-----OF-----l', 'required': True, 'type': u'string', u'copyDests': []}, {'uniqueKey': None, 'copySources': [], 'flags': u'I-S-----OF-----l', 'required': True, 'type': u'tdate', u'copyDests': []}, {'uniqueKey': None, 'copySources': [], 'flags': u'I-S-----OF-----l', 'required': True, 'type': u'text_general', u'copyDests': []}, {'uniqueKey': None, 'copySources': [], 'flags': u'I-S-----OF-----l', 'required': True, 'type': u'text_general', u'copyDests': []}, {'uniqueKey': None, 'copySources': [], 'flags': u'I-S-----OF-----l', 'required': True, 'type': u'text_general', u'copyDests': []}, {'uniqueKey': None, 'copySources': [], 'flags': u'I-S-----OF-----l', 'required': True, 'type': u'tint', u'copyDests': []}, {'uniqueKey': None, 'copySources': [], 'flags': u'I-S-----OF-----l', 'required': True, 'type': u'tint', u'copyDests': []}, {'uniqueKey': None, 'copySources': [], 'flags': u'I-S-----OF-----l', 'required': True, 'type': u'tint', u'copyDests': []}, {'uniqueKey': None, 'copySources': [], 'flags': u'I-S-----OF-----l', 'required': True, 'type': u'tint', u'copyDests': []}, {'uniqueKey': None, 'copySources': [], 'flags': u'I-S-----OF-----l', 'required': True, 'type': u'tint', u'copyDests': []}, {'uniqueKey': None, 'copySources': [], 'flags': u'I-S-----OF-----l', 'required': True, 'type': u'tlong', u'copyDests': []}, {'uniqueKey': True, 'copySources': [], 'flags': u'I-S-----OF-----l', 'required': True, 'type': u'tlong', u'copyDests': []} ], sorted(Collection2._make_luke_from_schema_fields(schema_fields).values()) ) def test_response_escaping_multi_value(self): MockResource.set_solr_response("""{ "responseHeader": { "status": 0, "QTime": 0, "params": { "indent": "true", "q": "*:*", "_": "1442953203972", "wt": "json" } }, "response": { "numFound": 1, "start": 0, "docs": [ { "id": "change.me", "title": [ "val1", "val2", "[<script>alert(123)</script>]", "val4" ], "_version_": 1513046095083602000 } ] } }""") response = self.c.post(reverse('dashboard:search'), { 'collection': json.dumps(self._get_collection_param(self.collection)), 'query': json.dumps(QUERY) }) result = json.loads(response.content) assert_equal( [{'hueId': 'change.me', 'id': 'change.me', '_version_': 1513046095083602000, 'title': ['val1', 'val2', '[<script>alert(123)</script>]', 'val4'], 'details': [], 'externalLink': None}], result['response']['docs'] ) def test_response_with_facets(self): MockResource.set_solr_response("""{"responseHeader":{"status":0,"QTime":59,"params":{"facet":"true","facet.mincount":"1","facet.limit":"100","facet.date":"article_date","f.article_date.facet.date.start":"NOW-7MONTH/DAYS","wt":"json","rows":"15","user.name":"hue","start":"0","facet.sort":"count","q":"*:*","f.article_date.facet.date.end":"NOW-5MONTH","doAs":"romain","f.article_date.facet.date.gap":"+1DAYS","facet.field":["journal_title","author_facet"],"fq":["article_date:[2013-06-13T00:00:00Z TO 2013-06-13T00:00:00Z+1DAYS]","journal_title:\\"in\\""]}},"response":{"numFound":4,"start":0,"maxScore":1.0,"docs":[{"article_title":"Investigations for neonatal seizures.","journal_issn":"1878-0946","article_abstract_text":["Seizures during the neonatal period are always medical emergencies. Apart from the need for rapid anticonvulsive treatment, the underlying condition is often not immediately obvious. In the search for the correct diagnosis, a thorough history, clinical examination, laboratory work-up, neurophysiological and neuroradiological investigations are all essential. A close collaboration between neonatologists, neuropaediatricians, laboratory specialists, neurophysiologists and radiologists facilitates the adequate care of the infant."],"ontologies":["36481|1 "],"article_date":"2013-06-13T00:00:00Z","journal_title":"Seminars in fetal & neonatal medicine","date_created":"2013-08-22T00:00:00Z","journal_country":"Netherlands","journal_iso_abbreviation":"Semin Fetal Neonatal Med","id":"23680099","author":["B B Hallberg","M M Blennow"],"article_pagination":"196-201","journal_publication_date":"2013-08-22T00:00:00Z","affiliation":"Department of Neonatology, Karolinska Institutet and University Hospital, Stockholm, Sweden. boubou.hallberg@ki.se","language":"eng","_version_":1450807641462800385},{"article_title":"Enantiomeric selection properties of β-homoDNA: enhanced pairing for heterochiral complexes.","journal_issn":"1521-3773","article_date":"2013-06-13T00:00:00Z","journal_title":"Angewandte Chemie (International ed. in English)","date_created":"2013-07-20T00:00:00Z","journal_country":"Germany","journal_iso_abbreviation":"Angew. Chem. Int. Ed. Engl.","id":"23670912","author":["Daniele D D'Alonzo","Jussara J Amato","Guy G Schepers","Matheus M Froeyen","Arthur A Van Aerschot","Piet P Herdewijn","Annalisa A Guaragna"],"article_pagination":"6662-5","journal_publication_date":"2013-06-24T00:00:00Z","affiliation":"Dipartimento di Scienze Chimiche, Università degli Studi di Napoli Federico II, Via Cintia 21, 80126 Napoli, Italy. dandalonzo@unina.it","language":"eng","_version_":1450807661929955329},{"article_title":"Interference of bacterial cell-to-cell communication: a new concept of antimicrobial chemotherapy breaks antibiotic resistance.","journal_issn":"1664-302X","article_abstract_text":["Bacteria use a cell-to-cell communication activity termed \\"quorum sensing\\" to coordinate group behaviors in a cell density dependent manner. Quorum sensing influences the expression profile of diverse genes, including antibiotic tolerance and virulence determinants, via specific chemical compounds called \\"autoinducers\\". During quorum sensing, Gram-negative bacteria typically use an acylated homoserine lactone (AHL) called autoinducer 1. Since the first discovery of quorum sensing in a marine bacterium, it has been recognized that more than 100 species possess this mechanism of cell-to-cell communication. In addition to being of interest from a biological standpoint, quorum sensing is a potential target for antimicrobial chemotherapy. This unique concept of antimicrobial control relies on reducing the burden of virulence rather than killing the bacteria. It is believed that this approach will not only suppress the development of antibiotic resistance, but will also improve the treatment of refractory infections triggered by multi-drug resistant pathogens. In this paper, we review and track recent progress in studies on AHL inhibitors/modulators from a biological standpoint. It has been discovered that both natural and synthetic compounds can disrupt quorum sensing by a variety of means, such as jamming signal transduction, inhibition of signal production and break-down and trapping of signal compounds. We also focus on the regulatory elements that attenuate quorum sensing activities and discuss their unique properties. Understanding the biological roles of regulatory elements might be useful in developing inhibitor applications and understanding how quorum sensing is controlled."],"ontologies":["2402|1 ","1875|1 ","2047|3 ","36690|1 ","8120|1 ","1872|1 ","1861|1 ","1955|2 ","38027|1 ","3853|1 ","2237|3 ","37074|1 ","3043|2 ","36478|1 ","4403|1 ","2751|1 ","10751|1 ","36467|1 ","2387|1 ","7278|3 ","3826|1 "],"article_date":"2013-06-13T00:00:00Z","journal_title":"Frontiers in microbiology","date_created":"2013-06-30T00:00:00Z","journal_country":"Switzerland","journal_iso_abbreviation":"Front Microbiol","id":"23720655","author":["Hidetada H Hirakawa","Haruyoshi H Tomita"],"article_pagination":"114","journal_publication_date":"2013-09-13T00:00:00Z","affiliation":"Advanced Scientific Research Leaders Development Unit, Gunma University Maebashi, Gunma, Japan.","language":"eng","_version_":1450807662055784448},{"article_title":"The role of musical training in emergent and event-based timing.","journal_issn":"1662-5161","article_abstract_text":["Introduction: Musical performance is thought to rely predominantly on event-based timing involving a clock-like neural process and an explicit internal representation of the time interval. Some aspects of musical performance may rely on emergent timing, which is established through the optimization of movement kinematics, and can be maintained without reference to any explicit representation of the time interval. We predicted that musical training would have its largest effect on event-based timing, supporting the dissociability of these timing processes and the dominance of event-based timing in musical performance. Materials and Methods: We compared 22 musicians and 17 non-musicians on the prototypical event-based timing task of finger tapping and on the typically emergently timed task of circle drawing. For each task, participants first responded in synchrony with a metronome (Paced) and then responded at the same rate without the metronome (Unpaced). Results: Analyses of the Unpaced phase revealed that non-musicians were more variable in their inter-response intervals for finger tapping compared to circle drawing. Musicians did not differ between the two tasks. Between groups, non-musicians were more variable than musicians for tapping but not for drawing. We were able to show that the differences were due to less timer variability in musicians on the tapping task. Correlational analyses of movement jerk and inter-response interval variability revealed a negative association for tapping and a positive association for drawing in non-musicians only. Discussion: These results suggest that musical training affects temporal variability in tapping but not drawing. Additionally, musicians and non-musicians may be employing different movement strategies to maintain accurate timing in the two tasks. These findings add to our understanding of how musical training affects timing and support the dissociability of event-based and emergent timing modes."],"ontologies":["36810|1 ","49002|1 ","3132|1 ","3797|1 ","37953|1 ","36563|2 ","524|1 ","3781|1 ","2848|1 ","17163|1 ","17165|1 ","49010|1 ","36647|3 ","36529|1 ","2936|1 ","2643|1 ","714|1 ","3591|1 ","2272|1 ","3103|1 ","2265|1 ","37051|1 ","3691|1 "],"article_date":"2013-06-14T00:00:00Z","journal_title":"Frontiers in human neuroscience","date_created":"2013-06-29T00:00:00Z","journal_country":"Switzerland","journal_iso_abbreviation":"Front Hum Neurosci","id":"23717275","author":["L H LH Baer","J L N JL Thibodeau","T M TM Gralnick","K Z H KZ Li","V B VB Penhune"],"article_pagination":"191","journal_publication_date":"2013-09-13T00:00:00Z","affiliation":"Department of Psychology, Centre for Research in Human Development, Concordia University Montréal, QC, Canada.","language":"eng","_version_":1450807667479019520}]},"facet_counts":{"facet_queries":{},"facet_fields":{"journal_title":["in",4,"frontiers",2,"angewandte",1,"chemie",1,"ed",1,"english",1,"fetal",1,"human",1,"international",1,"medicine",1,"microbiology",1,"neonatal",1,"neuroscience",1,"seminars",1],"author_facet":["Annalisa A Guaragna",1,"Arthur A Van Aerschot",1,"B B Hallberg",1,"Daniele D D'Alonzo",1,"Guy G Schepers",1,"Haruyoshi H Tomita",1,"Hidetada H Hirakawa",1,"J L N JL Thibodeau",1,"Jussara J Amato",1,"K Z H KZ Li",1,"L H LH Baer",1,"M M Blennow",1,"Matheus M Froeyen",1,"Piet P Herdewijn",1,"T M TM Gralnick",1,"V B VB Penhune",1]},"facet_dates":{"article_date":{"gap":"+1DAYS","start":"2013-04-27T00:00:00Z","end":"2013-06-28T00:00:00Z"}},"facet_ranges":{}},"highlighting":{"23680099":{},"23670912":{},"23720655":{},"23717275":{}},"spellcheck":{"suggestions":["correctlySpelled",false]}}""") # journal_title facet + date range article_date facets clicked and author_facet not clicked # http://solr:8983/solr/articles/select?user.name=hue&doAs=romain&q=%2A%3A%2A&wt=json&rows=15&start=0&facet=true&facet.mincount=1&facet.limit=100&facet.sort=count&facet.field=journal_title&facet.field=author_facet&facet.date=article_date&f.article_date.facet.date.start=NOW-7MONTH%2FDAYS&f.article_date.facet.date.end=NOW-5MONTH&f.article_date.facet.date.gap=%2B1DAYS&fq=article_date%3A%5B2013-06-13T00%3A00%3A00Z+TO+2013-06-13T00%3A00%3A00Z%2B1DAYS%5D&fq=journal_title%3A%22in%22 response = self.c.post(reverse('dashboard:search'), { 'collection': json.dumps(self._get_collection_param(self.collection)), 'query': json.dumps(QUERY) }) assert_false('alert alert-error' in response.content, response.content) assert_true('author_facet' in response.content, response.content) assert_true('Annalisa A Guaragna' in response.content, response.content) assert_true('journal_title' in response.content, response.content) assert_true('Angewandte' in response.content, response.content) assert_true('"numFound": 4' in response.content, response.content) def test_response_highlighting_with_binary_value(self): MockResource.set_solr_response("""{"responseHeader":{"status":0,"QTime":23,"params":{"hl.fragsize":"1000","fl":"*","hl.snippets":"5","start":"0","user.name":"hue","q":"*:*","doAs":"romain","hl.fl":"*","wt":"json","hl":"true","rows":"2"}},"response":{"numFound":494,"start":0,"docs":[{"id":"#31;�#8;w)�U#3;333320442�#2;�#27;�v","last_name":"Ogh","gpa":"3.88","first_name":"Eirjish","age":"12","_version_":1508697786597507072},{"id":"#31;�#8;w)�U#3;344�457�4�#2;r��","last_name":"Ennjth","gpa":"1.22","first_name":"Oopob","age":"14","_version_":1508697786815610880}]},"facet_counts":{"facet_queries":{},"facet_fields":{"id":["31",485,"8",485,"u",485,"2",461,"x",308,"w",145,"3",123,"4",90,"3;3",81,"0",76,"y",46,"41",15,"16",14,"42",14,"05",12,"7",12,"04",11,"15",11,"3;31",11,"44",11,"45",11,"i",11,"n",11,"s",11,"03",10,"07",10,"11",10,"28",10,"30",10,"3;34",10,"46",10,"a",10,"c",10,"j",10,"v",10,"02",9,"1",9,"26",9,"6",9,"e",9,"f",9,"p",9,"z",9,"00",8,"06",8,"14",8,"43",8,"g",8,"h",8,"r",8,"20",7,"23",7,"29",7,"3;37",7,"40",7,"k",7,"01",6,"17",6,"22",6,"24",6,"27",6,"3;35",6,"3;36",6,"b",6,"12",5,"19",5,"21",5,"3;323",5,"3;33",5,"47",5,"5",5,"o",5,"18",4,"25",4,"2;6",4,"3;32",4,"3;360",4,"3;372",4,"d",4,"q",4,"t",4,"005",3,"2;3",3,"3;311",3,"3;343",3,"3;344",3,"3;373",3,"420",3,"471",3,"9",3,"l",3,"m",3,"0147",2,"020",2,"022",2,"031",2,"065",2,"070",2,"2;0",2,"2;5",2],"first_name":["unt",3,"at",2,"aut",2,"eigh",2,"jh",2,"jir",2,"jz",2,"oim",2,"oith",2,"onn",2,"ouz",2,"um",2,"veitt",2,"16",1,"21",1,"28",1,"30",1,"achunn",1,"ad",1,"agauz",1,"agur",1,"aibenn",1,"aich",1,"aichaum",1,"aigh",1,"aim",1,"aimoob",1,"ainn",1,"aipf",1,"aipfouv",1,"aisainn",1,"aistjs",1,"aith",1,"aitoum",1,"aittool",1,"aittoupf",1,"aiw",1,"ak",1,"al",1,"apf",1,"astjist",1,"ataiv",1,"att",1,"auchav",1,"auchib",1,"auchih",1,"aud",1,"audaush",1,"auh",1,"auhour",1,"aum",1,"aunnoiss",1,"aunopf",1,"aupev",1,"aus",1,"ausaust",1,"austour",1,"ausyv",1,"auth",1,"authep",1,"auttjich",1,"auttjir",1,"av",1,"besooz",1,"bjfautt",1,"bjichaub",1,"bjittyl",1,"bjtoopf",1,"bleiss",1,"blistoot",1,"blittaub",1,"bljip",1,"bljir",1,"bloich",1,"bluhaid",1,"bluth",1,"breirjd",1,"breiter",1,"breitt",1,"breth",1,"brjishaip",1,"broil",1,"broopfoul",1,"brooputt",1,"brooroog",1,"brot",1,"brych",1,"brykaub",1,"brypfop",1,"bunn",1,"byroigh",1,"c",1,"caugh",1,"cautt",1,"chaittoif",1,"chaupour",1,"chautoonn",1,"chech",1,"cheigh",1,"chet",1],"last_name":["it",3,"ooz",3,"yss",3,"aih",2,"aim",2,"ash",2,"foum",2,"ig",2,"jch",2,"jif",2,"jis",2,"jiv",2,"jiw",2,"js",2,"oh",2,"ouf",2,"uch",2,"ud",2,"uf",2,"ul",2,"ush",2,"ys",2,"ab",1,"ach",1,"afoust",1,"aghaush",1,"aib",1,"aihjiss",1,"aimoint",1,"ain",1,"aineip",1,"ainn",1,"aint",1,"aintuf",1,"aipfes",1,"aipfjf",1,"air",1,"aish",1,"aishoott",1,"aishutt",1,"aisjnn",1,"aisseih",1,"aissutt",1,"aistaif",1,"aith",1,"aithjib",1,"aiv",1,"aiw",1,"aiz",1,"aizyb",1,"alyk",1,"ap",1,"apf",1,"apount",1,"assyv",1,"ast",1,"at",1,"atook",1,"att",1,"audal",1,"aug",1,"auk",1,"auloost",1,"aupfoitt",1,"aupjish",1,"aur",1,"aus",1,"authood",1,"auttyst",1,"auvjb",1,"auvon",1,"auzigh",1,"az",1,"besh",1,"birus",1,"bjit",1,"bjz",1,"blaich",1,"blaipf",1,"bleiz",1,"blikjigh",1,"bloob",1,"blouth",1,"boobjist",1,"boontoih",1,"boub",1,"bouch",1,"braul",1,"braut",1,"breinnyz",1,"brishoog",1,"brithith",1,"brjint",1,"brjth",1,"brubeist",1,"brugh",1,"bryvaip",1,"byl",1,"caleid",1,"ceir",1],"age":["12",60,"18",57,"14",56,"10",54,"11",53,"13",52,"16",50,"15",49,"17",44],"gpa":["2.34",6,"1.01",5,"1.43",5,"3.04",5,"3.14",5,"3.17",5,"3.87",5,"1.61",4,"2.24",4,"2.73",4,"2.76",4,"2.97",4,"3.28",4,"3.29",4,"3.35",4,"3.39",4,"3.67",4,"3.78",4,"3.85",4,"1.05",3,"1.1",3,"1.13",3,"1.22",3,"1.25",3,"1.3",3,"1.34",3,"1.37",3,"1.38",3,"1.39",3,"1.4",3,"1.44",3,"1.46",3,"1.53",3,"1.54",3,"1.55",3,"1.67",3,"1.72",3,"1.82",3,"1.91",3,"1.93",3,"11.0",3,"2.09",3,"2.11",3,"2.23",3,"2.26",3,"2.29",3,"2.46",3,"2.62",3,"2.71",3,"2.78",3,"2.79",3,"2.83",3,"2.84",3,"2.85",3,"2.92",3,"3.09",3,"3.11",3,"3.13",3,"3.23",3,"3.44",3,"3.76",3,"3.82",3,"3.88",3,"3.89",3,"3.92",3,"3.97",3,"4.0",3,"1.02",2,"1.11",2,"1.23",2,"1.26",2,"1.28",2,"1.35",2,"1.48",2,"1.56",2,"1.59",2,"1.63",2,"1.79",2,"1.8",2,"1.81",2,"1.97",2,"16.0",2,"2.01",2,"2.03",2,"2.05",2,"2.08",2,"2.12",2,"2.14",2,"2.17",2,"2.2",2,"2.25",2,"2.3",2,"2.35",2,"2.36",2,"2.41",2,"2.47",2,"2.49",2,"2.51",2,"2.54",2,"2.56",2],"date1":[],"date2":[],"country":[],"state":[],"city":[],"latitude":[],"longitude":[]},"facet_dates":{},"facet_ranges":{},"facet_intervals":{}},"highlighting":{"#31;�#8;w)�U#3;333320442�#2;�#27;�v":{},"#31;�#8;w)�U#3;344�457�4�#2;r��":{}}}""") response = self.c.post(reverse('dashboard:search'), { 'collection': json.dumps(self._get_collection_param(self.collection)), 'query': json.dumps(QUERY) }) assert_false('alert alert-error' in response.content, response.content) assert_false("'ascii' codec can't encode character u'\ufffd' in position" in response.content, response.content) assert_true('bluhaid' in response.content, response.content) def test_get_collection_fields(self): MockResource.set_solr_response("""{"responseHeader":{"status":0,"QTime":8},"index":{"numDocs":8,"maxDoc":8,"deletedDocs":0,"version":15,"segmentCount":5,"current":true,"hasDeletions":false,"directory":"org.apache.lucene.store.NRTCachingDirectory:NRTCachingDirectory(org.apache.solr.store.hdfs.HdfsDirectory@5efe087b lockFactory=org.apache.solr.store.hdfs.HdfsLockFactory@5106def2; maxCacheMB=192.0 maxMergeSizeMB=16.0)","userData":{"commitTimeMSec":"1389233070579"},"lastModified":"2014-01-09T02:04:30.579Z"},"fields":{"_version_":{"type":"long","schema":"ITS-----OF------","index":"-TS-------------","docs":8,"distinct":8,"topTerms":["1456716393276768256",1,"1456716398067712000",1,"1456716401465098240",1,"1460689159964327936",1,"1460689159981105152",1,"1460689159988445184",1,"1460689159993688064",1,"1456716273606983680",1],"histogram":["1",8]},"cat":{"type":"string","schema":"I-S-M---OF-----l","index":"ITS-----OF------","docs":4,"distinct":1,"topTerms":["currency",4],"histogram":["1",0,"2",0,"4",1]},"features":{"type":"text_general","schema":"ITS-M-----------","index":"ITS-------------","docs":4,"distinct":3,"topTerms":["coins",4,"notes",4,"and",4],"histogram":["1",0,"2",0,"4",3]},"id":{"type":"string","schema":"I-S-----OF-----l","index":"ITS-----OF------","docs":8,"distinct":8,"topTerms":["GBP",1,"NOK",1,"USD",1,"change.me",1,"change.me1",1,"change.me112",1,"change.me12",1,"EUR",1],"histogram":["1",8]},"inStock":{"type":"boolean","schema":"I-S-----OF-----l","index":"ITS-----OF------","docs":4,"distinct":1,"topTerms":["true",4],"histogram":["1",0,"2",0,"4",1]},"manu":{"type":"text_general","schema":"ITS-----O-------","index":"ITS-----O-------","docs":4,"distinct":7,"topTerms":["of",2,"bank",2,"european",1,"norway",1,"u.k",1,"union",1,"america",1],"histogram":["1",5,"2",2]},"manu_exact":{"type":"string","schema":"I-------OF-----l","index":"(unstored field)","docs":4,"distinct":4,"topTerms":["Bank of Norway",1,"European Union",1,"U.K.",1,"Bank of America",1],"histogram":["1",4]},"manu_id_s":{"type":"string","schema":"I-S-----OF-----l","dynamicBase":"*_s","index":"ITS-----OF------","docs":4,"distinct":4,"topTerms":["eu",1,"nor",1,"uk",1,"boa",1],"histogram":["1",4]},"name":{"type":"text_general","schema":"ITS-------------","index":"ITS-------------","docs":4,"distinct":6,"topTerms":["one",4,"euro",1,"krone",1,"dollar",1,"pound",1,"british",1],"histogram":["1",5,"2",0,"4",1]},"price_c":{"type":"currency","schema":"I-S------F------","dynamicBase":"*_c"},"price_c____amount_raw":{"type":"amount_raw_type_tlong","schema":"IT------O-------","dynamicBase":"*____amount_raw","index":"(unstored 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field)","docs":8,"distinct":21,"topTerms":["and",4,"currency",4,"notes",4,"one",4,"coins",4,"bank",2,"of",2,"change.me112",1,"change.me1",1,"change.me",1],"histogram":["1",14,"2",2,"4",5]},"title":{"type":"text_general","schema":"ITS-M-----------","index":"ITS-------------","docs":4,"distinct":4,"topTerms":["change.me1",1,"change.me112",1,"change.me12",1,"change.me",1],"histogram":["1",4]}},"info":{"key":{"I":"Indexed","T":"Tokenized","S":"Stored","D":"DocValues","M":"Multivalued","V":"TermVector Stored","o":"Store Offset With TermVector","p":"Store Position With TermVector","O":"Omit Norms","F":"Omit Term Frequencies & Positions","P":"Omit Positions","H":"Store Offsets with Positions","L":"Lazy","B":"Binary","f":"Sort Missing First","l":"Sort Missing Last"},"NOTE":"Document Frequency (df) is not updated when a document is marked for deletion. df values include deleted documents."}}""") assert_equal( # Dynamic fields not included for now [{'isDynamic': False, 'isId': None, 'type': 'string', 'name': '<script>alert(1234)</script>'}, {'isDynamic': False, 'isId': None, 'type': 'long', 'name': '_version_'}, {'isDynamic': False, 'isId': None, 'type': 'text_general', 'name': 'author'}, {'isDynamic': False, 'isId': None, 'type': 'text_general', 'name': 'category'}, {'isDynamic': False, 'isId': None, 'type': 'text_general', 'name': 'comments'}, {'isDynamic': False, 'isId': None, 'type': 'text_general', 'name': 'content'}, {'isDynamic': False, 'isId': None, 'type': 'string', 'name': 'content_type'}, {'isDynamic': False, 'isId': None, 'type': 'text_general', 'name': 'description'}, {'isDynamic': False, 'isId': None, 'type': 'text_general', 'name': 'features'}, {'isDynamic': False, 'isId': None, 'type': 'boolean', 'name': 'inStock'}, {'isDynamic': False, 'isId': None, 'type': 'text_general', 'name': 'includes'}, {'isDynamic': False, 'isId': None, 'type': 'text_general', 'name': 'keywords'}, {'isDynamic': False, 'isId': None, 'type': 'date', 'name': 'last_modified'}, {'isDynamic': False, 'isId': None, 'type': 'string', 'name': 'links'}, {'isDynamic': False, 'isId': None, 'type': 'text_general', 'name': 'manu'}, {'isDynamic': False, 'isId': None, 'type': 'string', 'name': 'manu_exact'}, {'isDynamic': False, 'isId': None, 'type': 'text_general', 'name': 'name'}, {'isDynamic': False, 'isId': None, 'type': 'payloads', 'name': 'payloads'}, {'isDynamic': False, 'isId': None, 'type': 'int', 'name': 'popularity'}, {'isDynamic': False, 'isId': None, 'type': 'float', 'name': 'price'}, {'isDynamic': False, 'isId': None, 'type': 'text_general', 'name': 'resourcename'}, {'isDynamic': False, 'isId': None, 'type': 'text_en_splitting_tight', 'name': 'sku'}, {'isDynamic': False, 'isId': None, 'type': 'location', 'name': 'store'}, {'isDynamic': False, 'isId': None, 'type': 'text_general', 'name': 'subject'}, {'isDynamic': False, 'isId': None, 'type': 'text_general', 'name': 'text'}, {'isDynamic': False, 'isId': None, 'type': 'text_general_rev', 'name': 'text_rev'}, {'isDynamic': False, 'isId': None, 'type': 'text_general', 'name': 'title'}, {'isDynamic': False, 'isId': None, 'type': 'text_general', 'name': 'url'}, {'isDynamic': False, 'isId': None, 'type': 'float', 'name': 'weight'}, {'isDynamic': False, 'isId': True, 'type': 'string', 'name': 'id'}], self.collection.fields_data(self.user, 'collection_1') ) # TODO # test facet with userlocation: türkiye, 東京, new york def test_download(self): MockResource.set_solr_response("""{"responseHeader":{"status":0,"QTime":59,"params":{"facet":"true","facet.mincount":"1","facet.limit":"100","facet.date":"article_date","f.article_date.facet.date.start":"NOW-7MONTH/DAYS","wt":"json","rows":"15","user.name":"hue","start":"0","facet.sort":"count","q":"*:*","f.article_date.facet.date.end":"NOW-5MONTH","doAs":"romain","f.article_date.facet.date.gap":"+1DAYS","facet.field":["journal_title","author_facet"],"fq":["article_date:[2013-06-13T00:00:00Z TO 2013-06-13T00:00:00Z+1DAYS]","journal_title:\\"in\\""]}},"response":{"numFound":4,"start":0,"maxScore":1.0,"docs":[{"article_title":"Investigations for neonatal seizures.","journal_issn":"1878-0946","article_abstract_text":["Seizures during the neonatal period are always medical emergencies. Apart from the need for rapid anticonvulsive treatment, the underlying condition is often not immediately obvious. In the search for the correct diagnosis, a thorough history, clinical examination, laboratory work-up, neurophysiological and neuroradiological investigations are all essential. A close collaboration between neonatologists, neuropaediatricians, laboratory specialists, neurophysiologists and radiologists facilitates the adequate care of the infant."],"ontologies":["36481|1 "],"article_date":"2013-06-13T00:00:00Z","journal_title":"Seminars in fetal & neonatal medicine","date_created":"2013-08-22T00:00:00Z","journal_country":"Netherlands","journal_iso_abbreviation":"Semin Fetal Neonatal Med","id":"23680099","author":["B B Hallberg","M M Blennow"],"article_pagination":"196-201","journal_publication_date":"2013-08-22T00:00:00Z","affiliation":"Department of Neonatology, Karolinska Institutet and University Hospital, Stockholm, Sweden. boubou.hallberg@ki.se","language":"eng","_version_":1450807641462800385},{"article_title":"Enantiomeric selection properties of β-homoDNA: enhanced pairing for heterochiral complexes.","journal_issn":"1521-3773","article_date":"2013-06-13T00:00:00Z","journal_title":"Angewandte Chemie (International ed. in English)","date_created":"2013-07-20T00:00:00Z","journal_country":"Germany","journal_iso_abbreviation":"Angew. Chem. Int. Ed. Engl.","id":"23670912","author":["Daniele D D'Alonzo","Jussara J Amato","Guy G Schepers","Matheus M Froeyen","Arthur A Van Aerschot","Piet P Herdewijn","Annalisa A Guaragna"],"article_pagination":"6662-5","journal_publication_date":"2013-06-24T00:00:00Z","affiliation":"Dipartimento di Scienze Chimiche, Università degli Studi di Napoli Federico II, Via Cintia 21, 80126 Napoli, Italy. dandalonzo@unina.it","language":"eng","_version_":1450807661929955329},{"article_title":"Interference of bacterial cell-to-cell communication: a new concept of antimicrobial chemotherapy breaks antibiotic resistance.","journal_issn":"1664-302X","article_abstract_text":["Bacteria use a cell-to-cell communication activity termed \\"quorum sensing\\" to coordinate group behaviors in a cell density dependent manner. Quorum sensing influences the expression profile of diverse genes, including antibiotic tolerance and virulence determinants, via specific chemical compounds called \\"autoinducers\\". During quorum sensing, Gram-negative bacteria typically use an acylated homoserine lactone (AHL) called autoinducer 1. Since the first discovery of quorum sensing in a marine bacterium, it has been recognized that more than 100 species possess this mechanism of cell-to-cell communication. In addition to being of interest from a biological standpoint, quorum sensing is a potential target for antimicrobial chemotherapy. This unique concept of antimicrobial control relies on reducing the burden of virulence rather than killing the bacteria. It is believed that this approach will not only suppress the development of antibiotic resistance, but will also improve the treatment of refractory infections triggered by multi-drug resistant pathogens. In this paper, we review and track recent progress in studies on AHL inhibitors/modulators from a biological standpoint. It has been discovered that both natural and synthetic compounds can disrupt quorum sensing by a variety of means, such as jamming signal transduction, inhibition of signal production and break-down and trapping of signal compounds. We also focus on the regulatory elements that attenuate quorum sensing activities and discuss their unique properties. Understanding the biological roles of regulatory elements might be useful in developing inhibitor applications and understanding how quorum sensing is controlled."],"ontologies":["2402|1 ","1875|1 ","2047|3 ","36690|1 ","8120|1 ","1872|1 ","1861|1 ","1955|2 ","38027|1 ","3853|1 ","2237|3 ","37074|1 ","3043|2 ","36478|1 ","4403|1 ","2751|1 ","10751|1 ","36467|1 ","2387|1 ","7278|3 ","3826|1 "],"article_date":"2013-06-13T00:00:00Z","journal_title":"Frontiers in microbiology","date_created":"2013-06-30T00:00:00Z","journal_country":"Switzerland","journal_iso_abbreviation":"Front Microbiol","id":"23720655","author":["Hidetada H Hirakawa","Haruyoshi H Tomita"],"article_pagination":"114","journal_publication_date":"2013-09-13T00:00:00Z","affiliation":"Advanced Scientific Research Leaders Development Unit, Gunma University Maebashi, Gunma, Japan.","language":"eng","_version_":1450807662055784448},{"article_title":"The role of musical training in emergent and event-based timing.","journal_issn":"1662-5161","article_abstract_text":["Introduction: Musical performance is thought to rely predominantly on event-based timing involving a clock-like neural process and an explicit internal representation of the time interval. Some aspects of musical performance may rely on emergent timing, which is established through the optimization of movement kinematics, and can be maintained without reference to any explicit representation of the time interval. We predicted that musical training would have its largest effect on event-based timing, supporting the dissociability of these timing processes and the dominance of event-based timing in musical performance. Materials and Methods: We compared 22 musicians and 17 non-musicians on the prototypical event-based timing task of finger tapping and on the typically emergently timed task of circle drawing. For each task, participants first responded in synchrony with a metronome (Paced) and then responded at the same rate without the metronome (Unpaced). Results: Analyses of the Unpaced phase revealed that non-musicians were more variable in their inter-response intervals for finger tapping compared to circle drawing. Musicians did not differ between the two tasks. Between groups, non-musicians were more variable than musicians for tapping but not for drawing. We were able to show that the differences were due to less timer variability in musicians on the tapping task. Correlational analyses of movement jerk and inter-response interval variability revealed a negative association for tapping and a positive association for drawing in non-musicians only. Discussion: These results suggest that musical training affects temporal variability in tapping but not drawing. Additionally, musicians and non-musicians may be employing different movement strategies to maintain accurate timing in the two tasks. These findings add to our understanding of how musical training affects timing and support the dissociability of event-based and emergent timing modes."],"ontologies":["36810|1 ","49002|1 ","3132|1 ","3797|1 ","37953|1 ","36563|2 ","524|1 ","3781|1 ","2848|1 ","17163|1 ","17165|1 ","49010|1 ","36647|3 ","36529|1 ","2936|1 ","2643|1 ","714|1 ","3591|1 ","2272|1 ","3103|1 ","2265|1 ","37051|1 ","3691|1 "],"article_date":"2013-06-14T00:00:00Z","journal_title":"Frontiers in human neuroscience","date_created":"2013-06-29T00:00:00Z","journal_country":"Switzerland","journal_iso_abbreviation":"Front Hum Neurosci","id":"23717275","author":["L H LH Baer","J L N JL Thibodeau","T M TM Gralnick","K Z H KZ Li","V B VB Penhune"],"article_pagination":"191","journal_publication_date":"2013-09-13T00:00:00Z","affiliation":"Department of Psychology, Centre for Research in Human Development, Concordia University Montréal, QC, Canada.","language":"eng","_version_":1450807667479019520}]},"facet_counts":{"facet_queries":{},"facet_fields":{"journal_title":["in",4,"frontiers",2,"angewandte",1,"chemie",1,"ed",1,"english",1,"fetal",1,"human",1,"international",1,"medicine",1,"microbiology",1,"neonatal",1,"neuroscience",1,"seminars",1],"author_facet":["Annalisa A Guaragna",1,"Arthur A Van Aerschot",1,"B B Hallberg",1,"Daniele D D'Alonzo",1,"Guy G Schepers",1,"Haruyoshi H Tomita",1,"Hidetada H Hirakawa",1,"J L N JL Thibodeau",1,"Jussara J Amato",1,"K Z H KZ Li",1,"L H LH Baer",1,"M M Blennow",1,"Matheus M Froeyen",1,"Piet P Herdewijn",1,"T M TM Gralnick",1,"V B VB Penhune",1]},"facet_dates":{"article_date":{"gap":"+1DAYS","start":"2013-04-27T00:00:00Z","end":"2013-06-28T00:00:00Z"}},"facet_ranges":{}},"highlighting":{"23680099":{},"23670912":{},"23720655":{},"23717275":{}},"spellcheck":{"suggestions":["correctlySpelled",false]}}""") json_response = self.c.post(reverse('dashboard:download'), { 'type': 'json', 'collection': json.dumps(self._get_collection_param(self.collection)), 'query': json.dumps(QUERY) }) json_response_content = json.loads(json_response.content) assert_equal('application/json', json_response['Content-Type']) assert_equal('attachment; filename="query_result.json"', json_response['Content-Disposition']) assert_equal(4, len(json_response_content), len(json_response_content)) assert_equal('Investigations for neonatal seizures.', json_response_content[0]['article_title']) csv_response = self.c.post(reverse('dashboard:download'), { 'type': 'csv', 'collection': json.dumps(self._get_collection_param(self.collection)), 'query': json.dumps(QUERY) }) csv_response_content = ''.join(csv_response.streaming_content) assert_equal('application/csv', csv_response['Content-Type']) assert_equal('attachment; filename="query_result.csv"', csv_response['Content-Disposition']) assert_equal(4 + 1 + 1, len(csv_response_content.split('\n')), csv_response_content.split('\n')) assert_true('<script>alert(1234)</script>,_version_,author,category,comments,content,content_type,description,features,inStock,includes,keywords,last_modified,links,manu,manu_exact,name,payloads,popularity,price,resourcename,sku,store,subject,text,text_rev,title,url,weight,id' in csv_response_content, csv_response_content) # Fields does not exactly match the response but this is because the collection schema does not match the query response. assert_true(""",1450807641462800385,"['B B Hallberg', 'M M Blennow']",,,,,,,,,,,,,,,,,,,,,,,,,,,23680099""" in csv_response_content, csv_response_content) xls_response = self.c.post(reverse('dashboard:download'), { 'type': 'xls', 'collection': json.dumps(self._get_collection_param(self.collection)), 'query': json.dumps(QUERY) }) xls_response_content = ''.join(xls_response.content) assert_not_equal(0, len(xls_response_content)) assert_equal('application/vnd.openxmlformats-officedocument.spreadsheetml.sheet', xls_response['Content-Type']) 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field)","docs":4,"distinct":4,"topTerms":["Bank of Norway",1,"European Union",1,"U.K.",1,"Bank of America",1],"histogram":["1",4]},"manu_id_s":{"type":"string","schema":"I-S-----OF-----l","dynamicBase":"*_s","index":"ITS-----OF------","docs":4,"distinct":4,"topTerms":["eu",1,"nor",1,"uk",1,"boa",1],"histogram":["1",4]},"name":{"type":"text_general","schema":"ITS-------------","index":"ITS-------------","docs":4,"distinct":6,"topTerms":["one",4,"euro",1,"krone",1,"dollar",1,"pound",1,"british",1],"histogram":["1",5,"2",0,"4",1]},"price_c":{"type":"currency","schema":"I-S------F------","dynamicBase":"*_c"},"price_c____amount_raw":{"type":"amount_raw_type_tlong","schema":"IT------O-------","dynamicBase":"*____amount_raw","index":"(unstored field)","docs":4,"distinct":8,"topTerms":["0",4,"0",4,"0",4,"0",4,"0",4,"0",4,"0",4,"100",4],"histogram":["1",0,"2",0,"4",8]},"price_c____currency":{"type":"currency_type_string","schema":"I-------O-------","dynamicBase":"*____currency","index":"(unstored field)","docs":4,"distinct":4,"topTerms":["GBP",1,"NOK",1,"USD",1,"EUR",1],"histogram":["1",4]},"romain_t":{"type":"text_general","schema":"ITS-------------","dynamicBase":"*_t","index":"ITS-------------","docs":1,"distinct":1,"topTerms":["true",1],"histogram":["1",1]},"text":{"type":"text_general","schema":"IT--M-----------","index":"(unstored field)","docs":8,"distinct":21,"topTerms":["and",4,"currency",4,"notes",4,"one",4,"coins",4,"bank",2,"of",2,"change.me112",1,"change.me1",1,"change.me",1],"histogram":["1",14,"2",2,"4",5]},"title":{"type":"text_general","schema":"ITS-M-----------","index":"ITS-------------","docs":4,"distinct":4,"topTerms":["change.me1",1,"change.me112",1,"change.me12",1,"change.me",1],"histogram":["1",4]}},"info":{"key":{"I":"Indexed","T":"Tokenized","S":"Stored","D":"DocValues","M":"Multivalued","V":"TermVector Stored","o":"Store Offset With TermVector","p":"Store Position With TermVector","O":"Omit Norms","F":"Omit Term Frequencies & Positions","P":"Omit Positions","H":"Store Offsets with Positions","L":"Lazy","B":"Binary","f":"Sort Missing First","l":"Sort Missing Last"},"NOTE":"Document Frequency (df) is not updated when a document is marked for deletion. df values include deleted documents."}}""" SOLR_SCHEMA = """ <?xml version="1.0" encoding="UTF-8" ?>   <schema name="example" version="1.5">  <fields>   <field name="id" type="string" indexed="true" stored="true" required="true" multiValued="false" /> <field name="sku" type="text_en_splitting_tight" indexed="true" stored="true" omitNorms="true"/> <field name="name" type="text_general" indexed="true" stored="true"/> <field name="manu" type="text_general" indexed="true" stored="true" omitNorms="true"/> <field name="cat" type="string" indexed="true" stored="true" multiValued="true"/> <field name="features" type="text_general" indexed="true" stored="true" multiValued="true"/> <field name="includes" type="text_general" indexed="true" stored="true" termVectors="true" termPositions="true" termOffsets="true" /> <field name="weight" type="float" indexed="true" stored="true"/> <field name="price" type="float" indexed="true" stored="true"/> <field name="popularity" type="int" indexed="true" stored="true" /> <field name="inStock" type="boolean" indexed="true" stored="true" /> <field name="store" type="location" indexed="true" stored="true"/>  <field name="title" type="text_general" indexed="true" stored="true" multiValued="true"/> <field name="subject" type="text_general" indexed="true" stored="true"/> <field name="description" type="text_general" indexed="true" stored="true"/> <field name="comments" type="text_general" indexed="true" stored="true"/> <field name="author" type="text_general" indexed="true" stored="true"/> <field name="keywords" type="text_general" indexed="true" stored="true"/> <field name="category" type="text_general" indexed="true" stored="true"/> <field name="resourcename" type="text_general" indexed="true" stored="true"/> <field name="url" type="text_general" indexed="true" stored="true"/> <field name="content_type" type="string" indexed="true" stored="true" multiValued="true"/> <field name="last_modified" type="date" indexed="true" stored="true"/> <field name="links" type="string" indexed="true" stored="true" multiValued="true"/>  <field name="content" type="text_general" indexed="false" stored="true" multiValued="true"/>  <field name="text" type="text_general" indexed="true" stored="false" multiValued="true"/>  <field name="text_rev" type="text_general_rev" indexed="true" stored="false" multiValued="true"/>  <field name="manu_exact" type="string" indexed="true" stored="false"/> <field name="payloads" type="payloads" indexed="true" stored="true"/> <field name="_version_" type="long" indexed="true" stored="true"/>   <dynamicField name="*_i" type="int" indexed="true" stored="true"/> <dynamicField name="*_is" type="int" indexed="true" stored="true" multiValued="true"/> <dynamicField name="*_s" type="string" indexed="true" stored="true" /> <dynamicField name="*_ss" type="string" indexed="true" stored="true" multiValued="true"/> <dynamicField name="*_l" type="long" indexed="true" stored="true"/> <dynamicField name="*_ls" type="long" indexed="true" stored="true" multiValued="true"/> <dynamicField name="*_t" type="text_general" indexed="true" stored="true"/> <dynamicField name="*_txt" type="text_general" indexed="true" stored="true" multiValued="true"/> <dynamicField name="*_en" type="text_en" indexed="true" stored="true" multiValued="true"/> <dynamicField name="*_b" type="boolean" indexed="true" stored="true"/> <dynamicField name="*_bs" type="boolean" indexed="true" stored="true" multiValued="true"/> <dynamicField name="*_f" type="float" indexed="true" stored="true"/> <dynamicField name="*_fs" type="float" indexed="true" stored="true" multiValued="true"/> <dynamicField name="*_d" type="double" indexed="true" stored="true"/> <dynamicField name="*_ds" type="double" indexed="true" stored="true" multiValued="true"/>  <dynamicField name="*_coordinate" type="tdouble" indexed="true" stored="false" /> <dynamicField name="*_dt" type="date" indexed="true" stored="true"/> <dynamicField name="*_dts" type="date" indexed="true" stored="true" multiValued="true"/> <dynamicField name="*_p" type="location" indexed="true" stored="true"/>  <dynamicField name="*_ti" type="tint" indexed="true" stored="true"/> <dynamicField name="*_tl" type="tlong" indexed="true" stored="true"/> <dynamicField name="*_tf" type="tfloat" indexed="true" stored="true"/> <dynamicField name="*_td" type="tdouble" indexed="true" stored="true"/> <dynamicField name="*_tdt" type="tdate" indexed="true" stored="true"/> <dynamicField name="*_pi" type="pint" indexed="true" stored="true"/> <dynamicField name="*_c" type="currency" indexed="true" stored="true"/> <dynamicField name="ignored_*" type="ignored" multiValued="true"/> <dynamicField name="attr_*" type="text_general" indexed="true" stored="true" multiValued="true"/> <dynamicField name="random_*" type="random" />   </fields>  <uniqueKey>id</uniqueKey>    <copyField source="cat" dest="text"/> <copyField source="name" dest="text"/> <copyField source="manu" dest="text"/> <copyField source="features" dest="text"/> <copyField source="includes" dest="text"/> <copyField source="manu" dest="manu_exact"/>  <copyField source="price" dest="price_c"/>  <copyField source="title" dest="text"/> <copyField source="author" dest="text"/> <copyField source="description" dest="text"/> <copyField source="keywords" dest="text"/> <copyField source="content" dest="text"/> <copyField source="content_type" dest="text"/> <copyField source="resourcename" dest="text"/> <copyField source="url" dest="text"/>  <copyField source="author" dest="author_s"/>     <types>   <fieldType name="string" class="solr.StrField" sortMissingLast="true" />  <fieldType name="boolean" class="solr.BoolField" sortMissingLast="true"/>   <fieldType name="int" class="solr.TrieIntField" precisionStep="0" positionIncrementGap="0"/> <fieldType name="float" class="solr.TrieFloatField" precisionStep="0" positionIncrementGap="0"/> <fieldType name="long" class="solr.TrieLongField" precisionStep="0" positionIncrementGap="0"/> <fieldType name="double" class="solr.TrieDoubleField" precisionStep="0" positionIncrementGap="0"/>  <fieldType name="tint" class="solr.TrieIntField" precisionStep="8" positionIncrementGap="0"/> <fieldType name="tfloat" class="solr.TrieFloatField" precisionStep="8" positionIncrementGap="0"/> <fieldType name="tlong" class="solr.TrieLongField" precisionStep="8" positionIncrementGap="0"/> <fieldType name="tdouble" class="solr.TrieDoubleField" precisionStep="8" positionIncrementGap="0"/>  <fieldType name="date" class="solr.TrieDateField" precisionStep="0" positionIncrementGap="0"/>  <fieldType name="tdate" class="solr.TrieDateField" precisionStep="6" positionIncrementGap="0"/>  <fieldtype name="binary" class="solr.BinaryField"/>  <fieldType name="pint" class="solr.IntField"/> <fieldType name="plong" class="solr.LongField"/> <fieldType name="pfloat" class="solr.FloatField"/> <fieldType name="pdouble" class="solr.DoubleField"/> <fieldType name="pdate" class="solr.DateField" sortMissingLast="true"/>  <fieldType name="random" class="solr.RandomSortField" indexed="true" />    <fieldType name="text_ws" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.WhitespaceTokenizerFactory"/> </analyzer> </fieldType>  <fieldType name="text_general" class="solr.TextField" positionIncrementGap="100"> <analyzer type="index"> <tokenizer class="solr.StandardTokenizerFactory"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt" />  <filter class="solr.LowerCaseFilterFactory"/> </analyzer> <analyzer type="query"> <tokenizer class="solr.StandardTokenizerFactory"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt" /> <filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/> <filter class="solr.LowerCaseFilterFactory"/> </analyzer> </fieldType>  <fieldType name="text_en" class="solr.TextField" positionIncrementGap="100"> <analyzer type="index"> <tokenizer class="solr.StandardTokenizerFactory"/>   <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_en.txt" /> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.EnglishPossessiveFilterFactory"/> <filter class="solr.KeywordMarkerFilterFactory" protected="protwords.txt"/>  <filter class="solr.PorterStemFilterFactory"/> </analyzer> <analyzer type="query"> <tokenizer class="solr.StandardTokenizerFactory"/> <filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_en.txt" /> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.EnglishPossessiveFilterFactory"/> <filter class="solr.KeywordMarkerFilterFactory" protected="protwords.txt"/>  <filter class="solr.PorterStemFilterFactory"/> </analyzer> </fieldType>  <fieldType name="text_en_splitting" class="solr.TextField" positionIncrementGap="100" autoGeneratePhraseQueries="true"> <analyzer type="index"> <tokenizer class="solr.WhitespaceTokenizerFactory"/>   <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_en.txt" /> <filter class="solr.WordDelimiterFilterFactory" generateWordParts="1" generateNumberParts="1" catenateWords="1" catenateNumbers="1" catenateAll="0" splitOnCaseChange="1"/> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.KeywordMarkerFilterFactory" protected="protwords.txt"/> <filter class="solr.PorterStemFilterFactory"/> </analyzer> <analyzer type="query"> <tokenizer class="solr.WhitespaceTokenizerFactory"/> <filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_en.txt" /> <filter class="solr.WordDelimiterFilterFactory" generateWordParts="1" generateNumberParts="1" catenateWords="0" catenateNumbers="0" catenateAll="0" splitOnCaseChange="1"/> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.KeywordMarkerFilterFactory" protected="protwords.txt"/> <filter class="solr.PorterStemFilterFactory"/> </analyzer> </fieldType>  <fieldType name="text_en_splitting_tight" class="solr.TextField" positionIncrementGap="100" autoGeneratePhraseQueries="true"> <analyzer> <tokenizer class="solr.WhitespaceTokenizerFactory"/> <filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="false"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_en.txt"/> <filter class="solr.WordDelimiterFilterFactory" generateWordParts="0" generateNumberParts="0" catenateWords="1" catenateNumbers="1" catenateAll="0"/> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.KeywordMarkerFilterFactory" protected="protwords.txt"/> <filter class="solr.EnglishMinimalStemFilterFactory"/>  <filter class="solr.RemoveDuplicatesTokenFilterFactory"/> </analyzer> </fieldType>  <fieldType name="text_general_rev" class="solr.TextField" positionIncrementGap="100"> <analyzer type="index"> <tokenizer class="solr.StandardTokenizerFactory"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt" /> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.ReversedWildcardFilterFactory" withOriginal="true" maxPosAsterisk="3" maxPosQuestion="2" maxFractionAsterisk="0.33"/> </analyzer> <analyzer type="query"> <tokenizer class="solr.StandardTokenizerFactory"/> <filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt" /> <filter class="solr.LowerCaseFilterFactory"/> </analyzer> </fieldType>    <fieldType name="alphaOnlySort" class="solr.TextField" sortMissingLast="true" omitNorms="true"> <analyzer>  <tokenizer class="solr.KeywordTokenizerFactory"/>  <filter class="solr.LowerCaseFilterFactory" />  <filter class="solr.TrimFilterFactory" />  <filter class="solr.PatternReplaceFilterFactory" pattern="([^a-z])" replacement="" replace="all" /> </analyzer> </fieldType> <fieldtype name="phonetic" stored="false" indexed="true" class="solr.TextField" > <analyzer> <tokenizer class="solr.StandardTokenizerFactory"/> <filter class="solr.DoubleMetaphoneFilterFactory" inject="false"/> </analyzer> </fieldtype> <fieldtype name="payloads" stored="false" indexed="true" class="solr.TextField" > <analyzer> <tokenizer class="solr.WhitespaceTokenizerFactory"/>  <filter class="solr.DelimitedPayloadTokenFilterFactory" encoder="float"/> </analyzer> </fieldtype>  <fieldType name="lowercase" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.KeywordTokenizerFactory"/> <filter class="solr.LowerCaseFilterFactory" /> </analyzer> </fieldType>  <fieldType name="descendent_path" class="solr.TextField"> <analyzer type="index"> <tokenizer class="solr.PathHierarchyTokenizerFactory" delimiter="/" /> </analyzer> <analyzer type="query"> <tokenizer class="solr.KeywordTokenizerFactory" /> </analyzer> </fieldType>  <fieldType name="ancestor_path" class="solr.TextField"> <analyzer type="index"> <tokenizer class="solr.KeywordTokenizerFactory" /> </analyzer> <analyzer type="query"> <tokenizer class="solr.PathHierarchyTokenizerFactory" delimiter="/" /> </analyzer> </fieldType>  <fieldtype name="ignored" stored="false" indexed="false" multiValued="true" class="solr.StrField" />  <fieldType name="point" class="solr.PointType" dimension="2" subFieldSuffix="_d"/>  <fieldType name="location" class="solr.LatLonType" subFieldSuffix="_coordinate"/>  <fieldType name="location_rpt" class="solr.SpatialRecursivePrefixTreeFieldType" geo="true" distErrPct="0.025" maxDistErr="0.000009" units="degrees" />  <fieldType name="currency" class="solr.CurrencyField" precisionStep="8" defaultCurrency="USD" currencyConfig="currency.xml" />   <fieldType name="text_ar" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.StandardTokenizerFactory"/>  <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_ar.txt" />  <filter class="solr.ArabicNormalizationFilterFactory"/> <filter class="solr.ArabicStemFilterFactory"/> </analyzer> </fieldType>  <fieldType name="text_bg" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.StandardTokenizerFactory"/> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_bg.txt" /> <filter class="solr.BulgarianStemFilterFactory"/> </analyzer> </fieldType>  <fieldType name="text_ca" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.StandardTokenizerFactory"/>  <filter class="solr.ElisionFilterFactory" ignoreCase="true" articles="lang/contractions_ca.txt"/> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_ca.txt" /> <filter class="solr.SnowballPorterFilterFactory" language="Catalan"/> </analyzer> </fieldType>  <fieldType name="text_cjk" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.StandardTokenizerFactory"/>  <filter class="solr.CJKWidthFilterFactory"/>  <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.CJKBigramFilterFactory"/> </analyzer> </fieldType>  <fieldType name="text_cz" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.StandardTokenizerFactory"/> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_cz.txt" /> <filter class="solr.CzechStemFilterFactory"/> </analyzer> </fieldType>  <fieldType name="text_da" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.StandardTokenizerFactory"/> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_da.txt" format="snowball" /> <filter class="solr.SnowballPorterFilterFactory" language="Danish"/> </analyzer> </fieldType>  <fieldType name="text_de" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.StandardTokenizerFactory"/> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_de.txt" format="snowball" /> <filter class="solr.GermanNormalizationFilterFactory"/> <filter class="solr.GermanLightStemFilterFactory"/>   </analyzer> </fieldType>  <fieldType name="text_el" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.StandardTokenizerFactory"/>  <filter class="solr.GreekLowerCaseFilterFactory"/> <filter class="solr.StopFilterFactory" ignoreCase="false" words="lang/stopwords_el.txt" /> <filter class="solr.GreekStemFilterFactory"/> </analyzer> </fieldType>  <fieldType name="text_es" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.StandardTokenizerFactory"/> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_es.txt" format="snowball" /> <filter class="solr.SpanishLightStemFilterFactory"/>  </analyzer> </fieldType>  <fieldType name="text_eu" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.StandardTokenizerFactory"/> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_eu.txt" /> <filter class="solr.SnowballPorterFilterFactory" language="Basque"/> </analyzer> </fieldType>  <fieldType name="text_fa" class="solr.TextField" positionIncrementGap="100"> <analyzer>  <charFilter class="solr.PersianCharFilterFactory"/> <tokenizer class="solr.StandardTokenizerFactory"/> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.ArabicNormalizationFilterFactory"/> <filter class="solr.PersianNormalizationFilterFactory"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_fa.txt" /> </analyzer> </fieldType>  <fieldType name="text_fi" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.StandardTokenizerFactory"/> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_fi.txt" format="snowball" /> <filter class="solr.SnowballPorterFilterFactory" language="Finnish"/>  </analyzer> </fieldType>  <fieldType name="text_fr" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.StandardTokenizerFactory"/>  <filter class="solr.ElisionFilterFactory" ignoreCase="true" articles="lang/contractions_fr.txt"/> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_fr.txt" format="snowball" /> <filter class="solr.FrenchLightStemFilterFactory"/>   </analyzer> </fieldType>  <fieldType name="text_ga" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.StandardTokenizerFactory"/>  <filter class="solr.ElisionFilterFactory" ignoreCase="true" articles="lang/contractions_ga.txt"/>  <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/hyphenations_ga.txt"/> <filter class="solr.IrishLowerCaseFilterFactory"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_ga.txt"/> <filter class="solr.SnowballPorterFilterFactory" language="Irish"/> </analyzer> </fieldType>  <fieldType name="text_gl" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.StandardTokenizerFactory"/> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_gl.txt" /> <filter class="solr.GalicianStemFilterFactory"/>  </analyzer> </fieldType>  <fieldType name="text_hi" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.StandardTokenizerFactory"/> <filter class="solr.LowerCaseFilterFactory"/>  <filter class="solr.IndicNormalizationFilterFactory"/>  <filter class="solr.HindiNormalizationFilterFactory"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_hi.txt" /> <filter class="solr.HindiStemFilterFactory"/> </analyzer> </fieldType>  <fieldType name="text_hu" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.StandardTokenizerFactory"/> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_hu.txt" format="snowball" /> <filter class="solr.SnowballPorterFilterFactory" language="Hungarian"/>  </analyzer> </fieldType>  <fieldType name="text_hy" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.StandardTokenizerFactory"/> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_hy.txt" /> <filter class="solr.SnowballPorterFilterFactory" language="Armenian"/> </analyzer> </fieldType>  <fieldType name="text_id" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.StandardTokenizerFactory"/> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_id.txt" />  <filter class="solr.IndonesianStemFilterFactory" stemDerivational="true"/> </analyzer> </fieldType>  <fieldType name="text_it" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.StandardTokenizerFactory"/>  <filter class="solr.ElisionFilterFactory" ignoreCase="true" articles="lang/contractions_it.txt"/> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_it.txt" format="snowball" /> <filter class="solr.ItalianLightStemFilterFactory"/>  </analyzer> </fieldType>  <fieldType name="text_ja" class="solr.TextField" positionIncrementGap="100" autoGeneratePhraseQueries="false"> <analyzer>  <tokenizer class="solr.JapaneseTokenizerFactory" mode="search"/>   <filter class="solr.JapaneseBaseFormFilterFactory"/>  <filter class="solr.JapanesePartOfSpeechStopFilterFactory" tags="lang/stoptags_ja.txt" />  <filter class="solr.CJKWidthFilterFactory"/>  <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_ja.txt" />  <filter class="solr.JapaneseKatakanaStemFilterFactory" minimumLength="4"/>  <filter class="solr.LowerCaseFilterFactory"/> </analyzer> </fieldType>  <fieldType name="text_lv" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.StandardTokenizerFactory"/> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_lv.txt" /> <filter class="solr.LatvianStemFilterFactory"/> </analyzer> </fieldType>  <fieldType name="text_nl" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.StandardTokenizerFactory"/> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_nl.txt" format="snowball" /> <filter class="solr.StemmerOverrideFilterFactory" dictionary="lang/stemdict_nl.txt" ignoreCase="false"/> <filter class="solr.SnowballPorterFilterFactory" language="Dutch"/> </analyzer> </fieldType>  <fieldType name="text_no" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.StandardTokenizerFactory"/> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_no.txt" format="snowball" /> <filter class="solr.SnowballPorterFilterFactory" language="Norwegian"/>    </analyzer> </fieldType>  <fieldType name="text_pt" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.StandardTokenizerFactory"/> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_pt.txt" format="snowball" /> <filter class="solr.PortugueseLightStemFilterFactory"/>    </analyzer> </fieldType>  <fieldType name="text_ro" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.StandardTokenizerFactory"/> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_ro.txt" /> <filter class="solr.SnowballPorterFilterFactory" language="Romanian"/> </analyzer> </fieldType>  <fieldType name="text_ru" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.StandardTokenizerFactory"/> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_ru.txt" format="snowball" /> <filter class="solr.SnowballPorterFilterFactory" language="Russian"/>  </analyzer> </fieldType>  <fieldType name="text_sv" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.StandardTokenizerFactory"/> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_sv.txt" format="snowball" /> <filter class="solr.SnowballPorterFilterFactory" language="Swedish"/>  </analyzer> </fieldType>  <fieldType name="text_th" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.StandardTokenizerFactory"/> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.ThaiWordFilterFactory"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_th.txt" /> </analyzer> </fieldType>  <fieldType name="text_tr" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.StandardTokenizerFactory"/> <filter class="solr.TurkishLowerCaseFilterFactory"/> <filter class="solr.StopFilterFactory" ignoreCase="false" words="lang/stopwords_tr.txt" /> <filter class="solr.SnowballPorterFilterFactory" language="Turkish"/> </analyzer> </fieldType> </types>   </schema> """

126.152461

96,564

0.722672

23,378

210,170

6.43156

0.093122

0.038548

0.068357

0.054151

0.793804

0.779644

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0.734066

0.717838

0.703552

0.000114

0.024681

0.08505

210,170

1,665

96,565

126.228228

0.757102

0.009706

0

0.36422

0

0.059872

0.924364

0.628154

0

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0.014968

false

0.000713

0.00784

0.000713

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0

null

0

1

0

1

0

1

null

0

9

7cf6b39db3b711cf6a72da02cd3d64e1fe916614

276

py

Python

jsondler/json_tools/__init__.py

loven-doo/jsondler

1466f022fc059a5a58e34dcc3ebddb76b5f82c5c

[ "BSD-3-Clause" ]

null

jsondler/json_tools/__init__.py

loven-doo/jsondler

1466f022fc059a5a58e34dcc3ebddb76b5f82c5c

[ "BSD-3-Clause" ]

null

jsondler/json_tools/__init__.py

loven-doo/jsondler

1466f022fc059a5a58e34dcc3ebddb76b5f82c5c

[ "BSD-3-Clause" ]

null

from jsondler.json_tools.requests import get_by_path, deepupdate, deepdiff, query, where from jsondler.json_tools.index import index_dicts_list from jsondler.json_tools.restruct import columnize_dicts_list from jsondler.json_tools.sort import sort_dicts_list, get_paths_order

55.2

88

0.876812

43

276

5.302326

0.488372

0.210526

0.280702

0.368421

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0

0.076087

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null

0

1

0

1

0

1

0

7

7cfb960110c41345cf6de27aa3b8c945bfe271a5

4,744

py

Python

nc/migrations/0030_auto_20180605_0032.py

kfarrelly/nucleo

096fa9fdfac39383269904f5d58b3714ce2d2f46

[ "Apache-2.0" ]

1

2022-01-10T23:35:53.000Z

nc/migrations/0030_auto_20180605_0032.py

kfarrelly/nucleo

096fa9fdfac39383269904f5d58b3714ce2d2f46

[ "Apache-2.0" ]

null

nc/migrations/0030_auto_20180605_0032.py

kfarrelly/nucleo

096fa9fdfac39383269904f5d58b3714ce2d2f46

[ "Apache-2.0" ]

1

2022-01-10T23:36:32.000Z

# -*- coding: utf-8 -*- # Generated by Django 1.11.13 on 2018-06-05 00:32 from __future__ import unicode_literals import django.core.validators from django.db import migrations, models import functools import nc.models import nc.validators class Migration(migrations.Migration): dependencies = [ ('nc', '0029_auto_20180604_2327'), ] operations = [ migrations.AddField( model_name='asset', name='whitepaper', field=models.FileField(blank=True, default=None, null=True, upload_to=functools.partial(nc.models.model_file_directory_path, *(), **{b'field': 'whitepaper'}), validators=[django.core.validators.FileExtensionValidator(allowed_extensions=[b'pdf']), nc.validators.FileSizeValidator(limit_value=10485760), nc.validators.MimeTypeValidator(allowed_mimetypes=[b'application/pdf'])]), ), migrations.AlterField( model_name='account', name='pic', field=models.ImageField(blank=True, default=None, null=True, upload_to=functools.partial(nc.models.model_file_directory_path, *(), **{b'field': 'pic'}), validators=[nc.validators.FileSizeValidator(limit_value=10485760), nc.validators.MimeTypeValidator(allowed_mimetypes=[b'image/x-cmu-raster', b'image/x-xbitmap', b'image/gif', b'image/x-portable-bitmap', b'image/jpeg', b'application/x-hdf', b'application/postscript', b'image/png', b'image/vnd.microsoft.icon', b'image/x-rgb', b'video/mpeg', b'image/x-ms-bmp', b'image/x-xpixmap', b'image/x-portable-graymap', b'image/x-portable-pixmap', b'image/tiff', b'application/pdf'])], verbose_name='Account photo'), ), migrations.AlterField( model_name='asset', name='cover', field=models.ImageField(blank=True, default=None, null=True, upload_to=functools.partial(nc.models.model_file_directory_path, *(), **{b'field': 'cover'}), validators=[nc.validators.FileSizeValidator(limit_value=10485760), nc.validators.MimeTypeValidator(allowed_mimetypes=[b'image/x-cmu-raster', b'image/x-xbitmap', b'image/gif', b'image/x-portable-bitmap', b'image/jpeg', b'application/x-hdf', b'application/postscript', b'image/png', b'image/vnd.microsoft.icon', b'image/x-rgb', b'video/mpeg', b'image/x-ms-bmp', b'image/x-xpixmap', b'image/x-portable-graymap', b'image/x-portable-pixmap', b'image/tiff', b'application/pdf'])], verbose_name='Asset profile cover photo'), ), migrations.AlterField( model_name='asset', name='pic', field=models.ImageField(blank=True, default=None, null=True, upload_to=functools.partial(nc.models.model_file_directory_path, *(), **{b'field': 'pic'}), validators=[nc.validators.FileSizeValidator(limit_value=10485760), nc.validators.MimeTypeValidator(allowed_mimetypes=[b'image/x-cmu-raster', b'image/x-xbitmap', b'image/gif', b'image/x-portable-bitmap', b'image/jpeg', b'application/x-hdf', b'application/postscript', b'image/png', b'image/vnd.microsoft.icon', b'image/x-rgb', b'video/mpeg', b'image/x-ms-bmp', b'image/x-xpixmap', b'image/x-portable-graymap', b'image/x-portable-pixmap', b'image/tiff', b'application/pdf'])], verbose_name='Asset photo'), ), migrations.AlterField( model_name='profile', name='cover', field=models.ImageField(blank=True, default=None, null=True, upload_to=functools.partial(nc.models.profile_file_directory_path, *(), **{b'field': 'cover'}), validators=[nc.validators.FileSizeValidator(limit_value=10485760), nc.validators.MimeTypeValidator(allowed_mimetypes=[b'image/x-cmu-raster', b'image/x-xbitmap', b'image/gif', b'image/x-portable-bitmap', b'image/jpeg', b'application/x-hdf', b'application/postscript', b'image/png', b'image/vnd.microsoft.icon', b'image/x-rgb', b'video/mpeg', b'image/x-ms-bmp', b'image/x-xpixmap', b'image/x-portable-graymap', b'image/x-portable-pixmap', b'image/tiff', b'application/pdf'])], verbose_name='Cover photo'), ), migrations.AlterField( model_name='profile', name='pic', field=models.ImageField(blank=True, default=None, null=True, upload_to=functools.partial(nc.models.profile_file_directory_path, *(), **{b'field': 'pic'}), validators=[nc.validators.FileSizeValidator(limit_value=10485760), nc.validators.MimeTypeValidator(allowed_mimetypes=[b'image/x-cmu-raster', b'image/x-xbitmap', b'image/gif', b'image/x-portable-bitmap', b'image/jpeg', b'application/x-hdf', b'application/postscript', b'image/png', b'image/vnd.microsoft.icon', b'image/x-rgb', b'video/mpeg', b'image/x-ms-bmp', b'image/x-xpixmap', b'image/x-portable-graymap', b'image/x-portable-pixmap', b'image/tiff', b'application/pdf'])], verbose_name='Profile picture'), ), ]

94.88

684

0.704469

663

4,744

4.956259

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0.118685

0.08521

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0.848448

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0

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4,744

49

685

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0

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1

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0

null

0

1

0

1

0

null

0

7

6b2df2a898ddeee3fd75e883cf4e4aa3bca387df

130

py

Python

s3imageservice/celery.py

The-Politico/django-s3-image-service

da8afd36b82c031ed09d881e7b3de013061e9ccd

[ "MIT" ]

7

2018-07-23T16:35:07.000Z

2021-12-22T16:42:08.000Z

s3imageservice/celery.py

The-Politico/django-s3-image-service

da8afd36b82c031ed09d881e7b3de013061e9ccd

[ "MIT" ]

13

2019-01-07T22:42:30.000Z

2022-02-27T10:53:02.000Z

s3imageservice/celery.py

The-Politico/django-s3-image-service

da8afd36b82c031ed09d881e7b3de013061e9ccd

[ "MIT" ]

2

2020-07-27T02:25:59.000Z

2020-10-17T20:54:22.000Z

# flake8: noqa from s3imageservice.tasks.aws import publish_to_aws from s3imageservice.tasks.process_images import process_images

32.5

62

0.869231

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130

6.055556

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0.330275

0.422018

0

0.02521

0.084615

130

3

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0

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true

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1

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1

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null

1

0

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0

null

0

1

0

1

0

1

0

7

6b3904e6e83f23552760c2fc7f92020174c52e3f

146,908

py

Python

tests/api_data/dsm_6/surveillance_station/const_6_api_info.py

synodriver/synologydsm-api

cb086f53dd3f4f8eceb4ab4dbc07bc8888df2b17

[ "MIT" ]

37

2020-02-10T19:10:40.000Z

2022-03-04T17:17:41.000Z

tests/api_data/dsm_6/surveillance_station/const_6_api_info.py

synodriver/synologydsm-api

cb086f53dd3f4f8eceb4ab4dbc07bc8888df2b17

[ "MIT" ]

161

2020-12-22T06:47:36.000Z

2022-03-28T21:09:10.000Z

tests/api_data/dsm_6/surveillance_station/const_6_api_info.py

mib1185/python-synology

dc721537b981d97c1e53ee8a4f20f9536805c360

[ "MIT" ]

19

2020-04-02T09:23:08.000Z

2021-11-29T13:11:58.000Z

"""DSM 6 SYNO.API.Info data with surveillance surppot.""" DSM_6_API_INFO = { "data": { "SYNO.API.Auth": {"maxVersion": 6, "minVersion": 1, "path": "auth.cgi"}, "SYNO.API.Encryption": { "maxVersion": 1, "minVersion": 1, "path": "encryption.cgi", }, "SYNO.API.Info": {"maxVersion": 1, "minVersion": 1, "path": "query.cgi"}, "SYNO.API.OTP": {"maxVersion": 1, "minVersion": 1, "path": "otp.cgi"}, "SYNO.AntiVirus.Config": { "maxVersion": 1, "minVersion": 1, "path": "entry.cgi", "requestFormat": "JSON", }, "SYNO.AntiVirus.FileExt": { "maxVersion": 1, "minVersion": 1, "path": "entry.cgi", "requestFormat": "JSON", }, "SYNO.AntiVirus.General": { "maxVersion": 1, "minVersion": 1, "path": "entry.cgi", "requestFormat": "JSON", }, "SYNO.AntiVirus.Log": { "maxVersion": 1, "minVersion": 1, "path": "entry.cgi", "requestFormat": "JSON", }, "SYNO.AntiVirus.Purchase": { "maxVersion": 1, "minVersion": 1, "path": "entry.cgi", "requestFormat": "JSON", }, "SYNO.AntiVirus.Quarantine": { "maxVersion": 1, "minVersion": 1, "path": "entry.cgi", "requestFormat": "JSON", }, "SYNO.AntiVirus.Scan": { "maxVersion": 1, "minVersion": 1, "path": "entry.cgi", "requestFormat": "JSON", }, "SYNO.AntiVirus.Schedule": { "maxVersion": 1, "minVersion": 1, "path": "entry.cgi", "requestFormat": "JSON", }, "SYNO.AntiVirus.WhiteList": { "maxVersion": 1, "minVersion": 1, "path": "entry.cgi", "requestFormat": "JSON", }, "SYNO.AudioPlayer": { "maxVersion": 2, "minVersion": 2, "path": "entry.cgi", "requestFormat": "JSON", }, "SYNO.AudioPlayer.Stream": { "maxVersion": 2, "minVersion": 2, "path": "entry.cgi", "requestFormat": "JSON", }, "SYNO.AudioStation.Album": { "maxVersion": 3, "minVersion": 1, "path": "AudioStation/album.cgi", }, "SYNO.AudioStation.Artist": { "maxVersion": 4, "minVersion": 1, "path": "AudioStation/artist.cgi", }, "SYNO.AudioStation.Browse.Playlist": { "maxVersion": 1, "minVersion": 1, "path": "entry.cgi", "requestFormat": "JSON", }, "SYNO.AudioStation.Composer": { "maxVersion": 2, "minVersion": 1, "path": "AudioStation/composer.cgi", }, "SYNO.AudioStation.Cover": { "maxVersion": 3, "minVersion": 1, "path": "AudioStation/cover.cgi", }, "SYNO.AudioStation.Download": { "maxVersion": 1, "minVersion": 1, "path": "AudioStation/download.cgi", }, "SYNO.AudioStation.Folder": { "maxVersion": 3, "minVersion": 1, "path": "AudioStation/folder.cgi", }, "SYNO.AudioStation.Genre": { "maxVersion": 3, "minVersion": 1, "path": "AudioStation/genre.cgi", }, "SYNO.AudioStation.Info": { "maxVersion": 4, "minVersion": 1, "path": "AudioStation/info.cgi", }, "SYNO.AudioStation.Lyrics": { "maxVersion": 2, "minVersion": 1, "path": "AudioStation/lyrics.cgi", }, "SYNO.AudioStation.LyricsSearch": { "maxVersion": 2, "minVersion": 1, "path": "AudioStation/lyrics_search.cgi", }, "SYNO.AudioStation.MediaServer": { "maxVersion": 1, "minVersion": 1, "path": "AudioStation/media_server.cgi", }, "SYNO.AudioStation.Pin": { "maxVersion": 1, "minVersion": 1, "path": "entry.cgi", "requestFormat": "JSON", }, "SYNO.AudioStation.Playlist": { "maxVersion": 3, "minVersion": 1, "path": "AudioStation/playlist.cgi", }, "SYNO.AudioStation.Proxy": { "maxVersion": 1, "minVersion": 1, "path": "AudioStation/proxy.cgi", }, "SYNO.AudioStation.Radio": { "maxVersion": 2, "minVersion": 1, "path": "AudioStation/radio.cgi", }, "SYNO.AudioStation.RemotePlayer": { "maxVersion": 3, "minVersion": 1, "path": "AudioStation/remote_player.cgi", }, "SYNO.AudioStation.RemotePlayerStatus": { "maxVersion": 1, "minVersion": 1, "path": "AudioStation/remote_player_status.cgi", }, "SYNO.AudioStation.Search": { "maxVersion": 1, "minVersion": 1, "path": "AudioStation/search.cgi", }, "SYNO.AudioStation.Song": { "maxVersion": 3, "minVersion": 1, "path": "AudioStation/song.cgi", }, "SYNO.AudioStation.Stream": { "maxVersion": 2, "minVersion": 1, "path": "AudioStation/stream.cgi", }, "SYNO.AudioStation.Tag": { "maxVersion": 1, "minVersion": 1, "path": "entry.cgi", "requestFormat": "JSON", }, "SYNO.AudioStation.VoiceAssistant.Browse": { "maxVersion": 1, "minVersion": 1, "path": "entry.cgi", "requestFormat": "JSON", }, "SYNO.AudioStation.VoiceAssistant.Challenge": { "maxVersion": 1, "minVersion": 1, "path": "entry.cgi", "requestFormat": "JSON", }, "SYNO.AudioStation.VoiceAssistant.Info": { "maxVersion": 1, "minVersion": 1, "path": "entry.cgi", "requestFormat": "JSON", }, "SYNO.AudioStation.VoiceAssistant.Stream": { "maxVersion": 1, "minVersion": 1, "path": "entry.cgi", "requestFormat": "JSON", }, "SYNO.AudioStation.WebPlayer": { "maxVersion": 1, "minVersion": 1, "path": "AudioStation/web_player.cgi", }, "SYNO.Backup.App": { "maxVersion": 1, "minVersion": 1, "path": "entry.cgi", "requestFormat": "JSON", }, "SYNO.Backup.App.Backup": { "maxVersion": 1, "minVersion": 1, "path": "entry.cgi", "requestFormat": "JSON", }, "SYNO.Backup.App.Restore": { "maxVersion": 1, "minVersion": 1, "path": "entry.cgi", "requestFormat": "JSON", }, "SYNO.Backup.App2.Backup": { "maxVersion": 2, "minVersion": 1, "path": "entry.cgi", "requestFormat": "JSON", }, 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Python

detection/maskrcnn_benchmark/modeling/roi_heads/iou_head/loss.py

fregu856/ebms_regression

95e5b513808d2ea1c2a0aea107727f6e66918f16

[ "MIT" ]

74

2020-05-05T01:34:11.000Z

2022-03-15T06:47:38.000Z

detection/maskrcnn_benchmark/modeling/roi_heads/iou_head/loss.py

fregu856/ebms_regression

95e5b513808d2ea1c2a0aea107727f6e66918f16

[ "MIT" ]

5

2020-08-05T10:07:27.000Z

2021-12-24T09:37:53.000Z

detection/maskrcnn_benchmark/modeling/roi_heads/iou_head/loss.py

fregu856/ebms_regression

95e5b513808d2ea1c2a0aea107727f6e66918f16

[ "MIT" ]

14

2020-05-14T21:59:00.000Z

2022-01-29T16:08:00.000Z

# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved. import torch import torch.nn as nn from torch.nn import functional as F from maskrcnn_benchmark.layers import smooth_l1_loss from maskrcnn_benchmark.structures.boxlist_ops import boxlist_iou from maskrcnn_benchmark.structures.bounding_box import BoxList from maskrcnn_benchmark.modeling.utils import cat import random import math def iou(reference, proposals): """Compute the IoU between a reference box with multiple proposal boxes. args: reference - Tensor of shape (1, 4). proposals - Tensor of shape (num_proposals, 4) returns: torch.Tensor - Tensor of shape (num_proposals,) containing IoU of reference box with each proposal box. """ # Intersection box tl = torch.max(reference[:,:2], proposals[:,:2]) br = torch.min(reference[:,:2] + reference[:,2:], proposals[:,:2] + proposals[:,2:]) sz = (br - tl).clamp(0) # Area intersection = sz.prod(dim=1) union = reference[:,2:].prod(dim=1) + proposals[:,2:].prod(dim=1) - intersection return intersection / union def rand_uniform(a, b, shape=1): """ sample numbers uniformly between a and b. args: a - lower bound b - upper bound shape - shape of the output tensor returns: torch.Tensor - tensor of shape=shape """ return (b - a) * torch.rand(shape) + a def perturb_box(box, min_iou=0.5, sigma_factor=0.1): """ Perturb the input box by adding gaussian noise to the co-ordinates args: box - input box min_iou - minimum IoU overlap between input box and the perturbed box sigma_factor - amount of perturbation, relative to the box size. Can be either a single element, or a list of sigma_factors, in which case one of them will be uniformly sampled. Further, each of the sigma_factor element can be either a float, or a tensor of shape (4,) specifying the sigma_factor per co-ordinate returns: torch.Tensor - the perturbed box """ if isinstance(sigma_factor, list): # If list, sample one sigma_factor as current sigma factor c_sigma_factor = random.choice(sigma_factor) else: c_sigma_factor = sigma_factor if not isinstance(c_sigma_factor, torch.Tensor): c_sigma_factor = c_sigma_factor * torch.ones(4) perturb_factor = torch.sqrt(box[2]*box[3])*c_sigma_factor # multiple tries to ensure that the perturbed box has iou > min_iou with the input box for i_ in range(100): c_x = box[0] + 0.5*box[2] c_y = box[1] + 0.5 * box[3] c_x_per = random.gauss(c_x, perturb_factor[0]) c_y_per = random.gauss(c_y, perturb_factor[1]) w_per = random.gauss(box[2], perturb_factor[2]) h_per = random.gauss(box[3], perturb_factor[3]) box_per = torch.Tensor([c_x_per - 0.5*w_per, c_y_per - 0.5*h_per, w_per, h_per]) if box_per[2] <= 0: box_per[2] = box[2]*rand_uniform(0.15, 0.5) if box_per[3] <= 0: box_per[3] = box[3]*rand_uniform(0.15, 0.5) box_iou = iou(box.view(1, 4), box_per.view(1, 4)) # if there is sufficient overlap, return if box_iou > min_iou: return box_per, box_iou # else reduce the perturb factor perturb_factor *= 0.9 return box_per, box_iou def rect_to_rel(bb, sz_norm=None): c = bb[...,:2] + 0.5 * bb[...,2:] if sz_norm is None: c_rel = c / bb[...,2:] else: c_rel = c / sz_norm sz_rel = torch.log(bb[...,2:]) return torch.cat((c_rel, sz_rel), dim=-1) def rel_to_rect(bb, sz_norm=None): sz = torch.exp(bb[...,2:]) if sz_norm is None: c = bb[...,:2] * sz else: c = bb[...,:2] * sz_norm tl = c - 0.5 * sz return torch.cat((tl, sz), dim=-1) def gauss_density_centered(x, std): return torch.exp(-0.5*(x / std)**2) / (math.sqrt(2*math.pi)*std) def gmm_density_centered(x, std): """ Assumes dim=-1 is the component dimension and dim=-2 is feature dimension. Rest are sample dimension. """ if x.dim() == std.dim() - 1: x = x.unsqueeze(-1) elif not (x.dim() == std.dim() and x.shape[-1] == 1): raise ValueError('Last dimension must be the gmm stds.') return gauss_density_centered(x, std).prod(-2).mean(-1) def sample_gmm_centered(std, num_samples=1): num_components = std.shape[-1] num_dims = std.numel() // num_components std = std.view(1, num_dims, num_components) # Sample component ids k = torch.randint(num_components, (num_samples,), dtype=torch.int64) std_samp = std[0,:,k].t() # Sample x_centered = std_samp * torch.randn(num_samples, num_dims) prob_dens = gmm_density_centered(x_centered, std) return x_centered, prob_dens def sample_gmm(mean, std, num_samples=1): num_dims = mean.numel() num_components = std.shape[-1] mean = mean.view(1,num_dims) std = std.view(1, -1, num_components) # Sample component ids k = torch.randint(num_components, (num_samples,), dtype=torch.int64) std_samp = std[0,:,k].t() # Sample x_centered = std_samp * torch.randn(num_samples, num_dims) x = x_centered + mean prob_dens = gmm_density_centered(x_centered, std) return x, prob_dens def sample_box_gmm(mean_box, proposal_sigma, gt_sigma=None, num_samples=1, add_mean_box=False): center_std = torch.Tensor([s[0] for s in proposal_sigma]) sz_std = torch.Tensor([s[1] for s in proposal_sigma]) std = torch.stack([center_std, center_std, sz_std, sz_std]) mean_box = mean_box.view(1,4) sz_norm = mean_box[:,2:].clone() # Sample boxes proposals_rel_centered, proposal_density = sample_gmm_centered(std, num_samples) # Add mean and map back mean_box_rel = rect_to_rel(mean_box, sz_norm) proposals_rel = proposals_rel_centered + mean_box_rel proposals = rel_to_rect(proposals_rel, sz_norm) if gt_sigma is None or gt_sigma[0] == 0 and gt_sigma[1] == 0: gt_density = torch.zeros_like(proposal_density) else: std_gt = torch.Tensor([gt_sigma[0], gt_sigma[0], gt_sigma[1], gt_sigma[1]]).view(1,4) gt_density = gauss_density_centered(proposals_rel_centered, std_gt).prod(-1) if add_mean_box: proposals = torch.cat((mean_box, proposals)) proposal_density = torch.cat((torch.Tensor([-1]), proposal_density)) gt_density = torch.cat((torch.Tensor([1]), gt_density)) return proposals, proposal_density, gt_density def nce_sample_gmm_centered(std, num_samples=1): ######################################################## num_components = std.shape[-1] num_dims = std.numel() // num_components std = std.view(1, num_dims, num_components) # Sample component ids k = torch.randint(num_components, (num_samples,), dtype=torch.int64) std_samp = std[0,:,k].t() # Sample x_centered = std_samp * torch.randn(num_samples, num_dims) prob_dens = gmm_density_centered(x_centered, std) prob_dens_zero = gmm_density_centered(torch.zeros_like(x_centered), std) return x_centered, prob_dens, prob_dens_zero def nce_sample_box_gmm(mean_box, proposal_sigma, gt_sigma=None, num_samples=1, add_mean_box=False): ######################################################################### center_std = torch.Tensor([s[0] for s in proposal_sigma]) sz_std = torch.Tensor([s[1] for s in proposal_sigma]) std = torch.stack([center_std, center_std, sz_std, sz_std]) mean_box = mean_box.view(1,4) sz_norm = mean_box[:,2:].clone() # Sample boxes proposals_rel_centered, proposal_density, proposal_density_zero = nce_sample_gmm_centered(std, num_samples) # (proposals_rel_centered has shape: (num_samples, 4)) # (proposal_density has shape: (num_samples)) # (proposal_density_zero has shape: (num_samples)) (all values are identical and constant) (this constant value only depends on std) # Add mean and map back mean_box_rel = rect_to_rel(mean_box, sz_norm) proposals_rel = proposals_rel_centered + mean_box_rel proposals = rel_to_rect(proposals_rel, sz_norm) if gt_sigma is None or gt_sigma[0] == 0 and gt_sigma[1] == 0: gt_density = torch.zeros_like(proposal_density) else: std_gt = torch.Tensor([gt_sigma[0], gt_sigma[0], gt_sigma[1], gt_sigma[1]]).view(1,4) gt_density = gauss_density_centered(proposals_rel_centered, std_gt).prod(-1) if add_mean_box: proposals = torch.cat((mean_box, proposals)) proposal_density = torch.cat((torch.Tensor([-1]), proposal_density)) gt_density = torch.cat((torch.Tensor([1]), gt_density)) return proposals, proposal_density, gt_density, proposal_density_zero def nce_sample_gmm_centered2(std, std2, num_samples=1): ######################################################## num_components = std.shape[-1] num_dims = std.numel() // num_components std = std.view(1, num_dims, num_components) std2 = std2.view(1, num_dims, num_components) # Sample component ids k = torch.randint(num_components, (num_samples,), dtype=torch.int64) std_samp2 = std2[0,:,k].t() # Sample x_centered2 = std_samp2 * torch.randn(num_samples, num_dims) prob_dens2 = gmm_density_centered(x_centered2, std) # (note that it actually should be std here!) return x_centered2, prob_dens2 def nce_sample_box_gmm2(mean_box, proposal_sigma, beta, gt_sigma=None, num_samples=1, add_mean_box=False): ######################################################################### center_std = torch.Tensor([s[0] for s in proposal_sigma]) sz_std = torch.Tensor([s[1] for s in proposal_sigma]) std = torch.stack([center_std, center_std, sz_std, sz_std]) center_std2 = torch.Tensor([s[0] for s in proposal_sigma]) sz_std2 = torch.Tensor([s[1] for s in proposal_sigma]) std2 = beta*torch.stack([center_std2, center_std2, sz_std2, sz_std2]) # print (std) # print (std2) # print ("{{{{{{{{{{{{{{{{{{{{{{{{{{}}}}}}}}}}}}}}}}}}}}}}}}}}") mean_box = mean_box.view(1,4) sz_norm = mean_box[:,2:].clone() # Sample boxes proposals_rel_centered2, proposal_density2 = nce_sample_gmm_centered2(std, std2, num_samples) # (proposals_rel_centered has shape: (num_samples, 4)) # (proposal_density has shape: (num_samples)) # (proposal_density_zero has shape: (num_samples)) (all values are identical and constant) (this constant value only depends on std) # Add mean and map back mean_box_rel = rect_to_rel(mean_box, sz_norm) proposals_rel = proposals_rel_centered2 + mean_box_rel proposals = rel_to_rect(proposals_rel, sz_norm) if gt_sigma is None or gt_sigma[0] == 0 and gt_sigma[1] == 0: gt_density = torch.zeros_like(proposal_density2) else: std_gt = torch.Tensor([gt_sigma[0], gt_sigma[0], gt_sigma[1], gt_sigma[1]]).view(1,4) gt_density = gauss_density_centered(proposals_rel_centered, std_gt).prod(-1) if add_mean_box: proposals = torch.cat((mean_box, proposals)) proposal_density = torch.cat((torch.Tensor([-1]), proposal_density2)) gt_density = torch.cat((torch.Tensor([1]), gt_density)) return proposals, proposal_density2, gt_density def kl_regression_loss(scores, sample_density, gt_density, mc_dim=0, eps=0.0, size_average=True): """mc_dim is dimension of MC samples.""" L = torch.log(torch.mean(torch.exp(scores) / (sample_density + eps), dim=mc_dim)) - \ torch.mean(scores * (gt_density / (sample_density + eps)), dim=mc_dim) if size_average: return L.mean() else: return L def ml_regression_loss(scores, sample_density, gt_density, mc_dim=0, eps=0.0, exp_max=None, size_average=True): """mc_dim is dimension of MC samples.""" assert mc_dim == 1 assert (sample_density[:,0,...] == -1).all() assert (gt_density[:,0,...] == 1).all() exp_val = scores[:, 1:, ...] - torch.log(sample_density[:, 1:, ...] + eps) if exp_max is None: bias = 0 bias_squeeze = 0 else: bias = (torch.max(exp_val.detach(), dim=mc_dim, keepdim=True)[0] - exp_max).clamp(min=0) bias_squeeze = bias.squeeze(dim=mc_dim) L = torch.log(torch.mean(torch.exp(exp_val - bias), dim=mc_dim)) + bias_squeeze - scores[:, 0, ...] if size_average: loss = L.mean() else: loss = L return loss def ml_regression_loss_logsumexp(scores, sample_density, gt_density, mc_dim=0, eps=0.0, exp_max=None, size_average=True): ############################################## """mc_dim is dimension of MC samples.""" # (scores has shape: (num_bboxes_in_batch, M)) (M == 128) (num_bboxes_in_batch can be different for each batch) # (sample_density has shape: (num_bboxes_in_batch, M)) # (gt_density has shape: (num_bboxes_in_batch, M)) assert mc_dim == 1 assert (sample_density[:,0,...] == -1).all() assert (gt_density[:,0,...] == 1).all() scores_samples = scores[:, 1:] # (shape: (num_bboxes_in_batch, M-1)) q_y_samples = sample_density[:, 1:] # (shape: (num_bboxes_in_batch, M-1)) scores_gt = scores[:, 0] # (shape: (num_bboxes_in_batch)) num_samples = scores_samples.size(1) # (M-1) log_Z = torch.logsumexp(scores_samples - torch.log(q_y_samples), dim=1) - math.log(num_samples) # (shape: (num_bboxes_in_batch)) L = log_Z - scores_gt # (shape: (num_bboxes_in_batch)) # print (scores_samples.size()) # print (q_y_samples.size()) # print (scores_gt.size()) # print (num_samples) # print (math.log(num_samples)) # print ("{{{{{{{{{{{{{{{{{}}}}}}}}}}}}}}}}}") if size_average: loss = L.mean() else: loss = L return loss def kl_regression_loss_logsumexp(scores, sample_density, gt_density, mc_dim=0, eps=0.0, exp_max=None, size_average=True): ############################################## """mc_dim is dimension of MC samples.""" # (scores has shape: (num_bboxes_in_batch, M)) (M == 128) (num_bboxes_in_batch can be different for each batch) # (sample_density has shape: (num_bboxes_in_batch, M)) # (gt_density has shape: (num_bboxes_in_batch, M)) exp_val = scores - torch.log(sample_density + eps) L = torch.logsumexp(exp_val, dim=1) - math.log(scores.shape[1]) - torch.mean(scores * (gt_density / (sample_density + eps)), dim=1) if size_average: loss = L.mean() else: loss = L return loss class IoUNetLossComputation(object): """ """ def __init__( self, num_proposal=16, proposal_min_overlap=0.5, cls_agnostic_iou_pred=False, num_pre_generated_boxes=50000, sampling_type="default_iou", proposal_sigma=None, gt_sigma=None ): self.num_proposal = num_proposal self.proposal_min_overlap = proposal_min_overlap self.cls_agnostic_iou_pred = cls_agnostic_iou_pred self.num_pre_generated_boxes = num_pre_generated_boxes self.sampling_type = sampling_type if sampling_type == "default_iou": self.jittered_boxes, self.jittered_box_ious = self.generate_jittered_boxes() self.sample_probability = self.get_sample_probability() self.proposal_sigma = proposal_sigma self.gt_sigma = gt_sigma def generate_jittered_boxes(self): jittered_boxes = [] jittered_box_ious = [] base_box = torch.tensor([-0.5, -0.5, 1.0, 1.0]) for i in range(self.num_pre_generated_boxes): box_per, box_iou = perturb_box(base_box.clone(), min_iou=self.proposal_min_overlap, sigma_factor= [0.004, 0.01, 0.05, 0.1, 0.2, 0.3]) jittered_boxes.append(box_per) jittered_box_ious.append(box_iou) # TODO use bboxlist return torch.stack(jittered_boxes, dim=0), torch.stack(jittered_box_ious, dim=0) def get_sample_probability(self): num_bins = 100 iou_hist = torch.histc(self.jittered_box_ious, bins=num_bins, min=self.proposal_min_overlap, max=1.0) weight = 1 / (iou_hist + 1) idx = (self.jittered_box_ious - self.proposal_min_overlap) / (1.0 - self.proposal_min_overlap) idx = (idx * (num_bins - 1)).long() sample_probability = weight[idx] return sample_probability.view(-1) def sample_jitter(self, num_samples): sampled_ids = torch.multinomial(self.sample_probability, num_samples, replacement=True) return self.jittered_boxes[sampled_ids, :], self.jittered_box_ious[sampled_ids] def sample_jittered_boxes(self, gt_boxes): """ :param gt_boxes: BoxList containining the gt boxes for each image :return: """ orig_mode_list = [b.mode for b in gt_boxes] gt_boxes = [b.convert('xywh') for b in gt_boxes] gt_iou_list = [] out_boxes = [] if self.sampling_type == "default_iou": for gt_b in gt_boxes: b = gt_b.bbox.view(-1, 4) labels = gt_b.get_field("labels") jittered_base_boxes, gt_iou = self.sample_jitter(b.shape[0] * self.num_proposal) jittered_base_boxes = jittered_base_boxes.to(b.device) gt_iou = gt_iou.to(b.device) jittered_base_boxes_scaled = jittered_base_boxes.view(b.shape[0], self.num_proposal, 4) * b[:, 2:].repeat(1, 2).view(-1, 1, 4) b_center = b[:, :2] + 0.5 * b[:, 2:] jittered_base_boxes_scaled[..., :2] += b_center.view(-1, 1, 2) labels = labels.view(-1,1).repeat(1, self.num_proposal) new_box = BoxList(jittered_base_boxes_scaled.view(-1, 4), image_size=gt_b.size, mode='xywh') new_box.add_field("labels", labels.view(-1)) out_boxes.append(new_box) gt_iou_list.append(gt_iou) elif self.sampling_type == "default_ml": for gt_b in gt_boxes: device = gt_b.bbox.device b = gt_b.bbox.view(-1, 4).cpu() labels = gt_b.get_field("labels") out_boxes_list = [] for i in range(b.shape[0]): proposals, _, _ = sample_box_gmm(b[i, :], self.proposal_sigma, self.gt_sigma, self.num_proposal - 1, True) gt_iou = iou(b[i:i+1, :], proposals) proposals = proposals.to(device) gt_iou = gt_iou.to(device) gt_iou = gt_iou.view(-1, 1) out_boxes_list.append(proposals) gt_iou_list.append(gt_iou) out_boxes_t = torch.cat(out_boxes_list, dim=0) new_box = BoxList(out_boxes_t, image_size=gt_b.size, mode='xywh') labels = labels.view(-1, 1).repeat(1, self.num_proposal) new_box.add_field("labels", labels.view(-1)) out_boxes.append(new_box) else: raise ValueError out_boxes = [b.convert(m) for b, m in zip(out_boxes, orig_mode_list)] gt_boxes = [b.convert('xyxy') for b in gt_boxes] # TODO is this safe? self._gt_iou = 2 * torch.cat(gt_iou_list, dim=0) - 1 self._proposals = out_boxes # TODO check output distribution return out_boxes def __call__(self, iou_score): """ Computes the loss for Faster R-CNN. This requires that the subsample method has been called beforehand. Arguments: class_logits (list[Tensor]) box_regression (list[Tensor]) Returns: classification_loss (Tensor) box_loss (Tensor) """ device = iou_score.device # TODO handle multi-class stuff gt_iou = self._gt_iou labels = cat([proposal.get_field("labels") for proposal in self._proposals], dim=0).long() sampled_pos_inds_subset = torch.nonzero(labels > 0).squeeze(1) labels_pos = labels[sampled_pos_inds_subset] if self.cls_agnostic_iou_pred: map_inds = torch.tensor([0], device=device) else: map_inds = labels_pos[:, None] iou_loss = smooth_l1_loss( iou_score[sampled_pos_inds_subset[:, None], map_inds], gt_iou[sampled_pos_inds_subset], size_average=False, beta=1, ) iou_loss = iou_loss / labels.numel() return iou_loss class KLIoUNetLossComputation(object): """ """ def __init__( self, num_proposal=128, gt_sigma=(0.125, 0.125), proposal_sigma=((0.125, 0.125), (0.25, 0.25), (0.5, 0.5), (1.0, 1.0)), cls_agnostic_iou_pred=False, ): self.num_proposal = num_proposal self.gt_sigma = gt_sigma self.proposal_sigma = proposal_sigma self.cls_agnostic_iou_pred = cls_agnostic_iou_pred def sample_jittered_boxes(self, gt_boxes): """ :param gt_boxes: BoxList containining the gt boxes for each image :return: """ orig_mode_list = [b.mode for b in gt_boxes] gt_boxes = [b.convert('xywh') for b in gt_boxes] proposal_density_list = [] gt_density_list = [] jittered_boxes = [] for gt_b in gt_boxes: device = gt_b.bbox.device b = gt_b.bbox.view(-1, 4).cpu() labels = gt_b.get_field("labels") out_boxes_list = [] for i in range(b.shape[0]): proposals, proposal_density, gt_density = sample_box_gmm(b[i, :], self.proposal_sigma, self.gt_sigma, self.num_proposal, False) proposals = proposals.to(device) proposal_density = proposal_density.to(device) gt_density = gt_density.to(device) out_boxes_list.append(proposals) proposal_density_list.append(proposal_density) gt_density_list.append(gt_density) out_boxes_t = torch.cat(out_boxes_list, dim=0) new_box = BoxList(out_boxes_t, image_size=gt_b.size, mode='xywh') labels = labels.view(-1, 1).repeat(1, self.num_proposal) new_box.add_field("labels", labels.view(-1)) jittered_boxes.append(new_box) jittered_boxes = [b.convert(m) for b, m in zip(jittered_boxes, orig_mode_list)] # TODO is this safe? self._proposal_density = torch.cat(proposal_density_list, dim=0) self._gt_density = torch.cat(gt_density_list, dim=0) self._proposals = jittered_boxes # TODO check output distribution return jittered_boxes def __call__(self, score): """ Computes the loss for Faster R-CNN. This requires that the subsample method has been called beforehand. Arguments: class_logits (list[Tensor]) box_regression (list[Tensor]) Returns: classification_loss (Tensor) box_loss (Tensor) """ device = score.device # TODO handle multi-class stuff gt_density = self._gt_density proposal_density = self._proposal_density labels = cat([proposal.get_field("labels") for proposal in self._proposals], dim=0).long() sampled_pos_inds_subset = torch.nonzero(labels > 0).squeeze(1) labels_pos = labels[sampled_pos_inds_subset] if self.cls_agnostic_iou_pred: map_inds = torch.tensor([0], device=device) else: map_inds = labels_pos[:, None] iou_loss = kl_regression_loss( score[sampled_pos_inds_subset[:, None], map_inds].view(-1, self.num_proposal), proposal_density[sampled_pos_inds_subset].view(-1, self.num_proposal), gt_density[sampled_pos_inds_subset].view(-1, self.num_proposal), size_average=False, mc_dim=1) iou_loss = iou_loss.sum() / (labels.numel() / self.num_proposal) return iou_loss class MLIoUNetLossComputation(object): """ """ def __init__( self, num_proposal=128, gt_sigma=(0.125, 0.125), proposal_sigma=((0.125, 0.125), (0.25, 0.25), (0.5, 0.5), (1.0, 1.0)), cls_agnostic_iou_pred=False, exp_clamp=None ): self.num_proposal = num_proposal self.gt_sigma = gt_sigma self.proposal_sigma = proposal_sigma self.cls_agnostic_iou_pred = cls_agnostic_iou_pred self.exp_clamp = exp_clamp def sample_jittered_boxes(self, gt_boxes): """ :param gt_boxes: BoxList containining the gt boxes for each image :return: """ orig_mode_list = [b.mode for b in gt_boxes] gt_boxes = [b.convert('xywh') for b in gt_boxes] proposal_density_list = [] gt_density_list = [] jittered_boxes = [] for gt_b in gt_boxes: device = gt_b.bbox.device b = gt_b.bbox.view(-1, 4).cpu() labels = gt_b.get_field("labels") out_boxes_list = [] for i in range(b.shape[0]): proposals, proposal_density, gt_density = sample_box_gmm(b[i, :], self.proposal_sigma, self.gt_sigma, self.num_proposal-1, True) proposals = proposals.to(device) proposal_density = proposal_density.to(device) gt_density = gt_density.to(device) out_boxes_list.append(proposals) proposal_density_list.append(proposal_density) gt_density_list.append(gt_density) out_boxes_t = torch.cat(out_boxes_list, dim=0) new_box = BoxList(out_boxes_t, image_size=gt_b.size, mode='xywh') labels = labels.view(-1, 1).repeat(1, self.num_proposal) new_box.add_field("labels", labels.view(-1)) jittered_boxes.append(new_box) jittered_boxes = [b.convert(m) for b, m in zip(jittered_boxes, orig_mode_list)] # TODO is this safe? self._proposal_density = torch.cat(proposal_density_list, dim=0) self._gt_density = torch.cat(gt_density_list, dim=0) self._proposals = jittered_boxes # TODO check output distribution return jittered_boxes def __call__(self, score): """ Computes the loss for Faster R-CNN. This requires that the subsample method has been called beforehand. Arguments: class_logits (list[Tensor]) box_regression (list[Tensor]) Returns: classification_loss (Tensor) box_loss (Tensor) """ device = score.device # TODO handle multi-class stuff gt_density = self._gt_density proposal_density = self._proposal_density labels = cat([proposal.get_field("labels") for proposal in self._proposals], dim=0).long() sampled_pos_inds_subset = torch.nonzero(labels > 0).squeeze(1) labels_pos = labels[sampled_pos_inds_subset] if self.cls_agnostic_iou_pred: map_inds = torch.tensor([0], device=device) else: map_inds = labels_pos[:, None] iou_loss = ml_regression_loss( score[sampled_pos_inds_subset[:, None], map_inds].view(-1, self.num_proposal), proposal_density[sampled_pos_inds_subset].view(-1, self.num_proposal), gt_density[sampled_pos_inds_subset].view(-1, self.num_proposal), exp_max=10, size_average=False, mc_dim=1) iou_loss = iou_loss.sum() / (labels.numel() / self.num_proposal) return iou_loss class LossComputation_mlis(object): """ """ def __init__( self, num_proposal=128, gt_sigma=(0.125, 0.125), proposal_sigma=((0.125, 0.125), (0.25, 0.25), (0.5, 0.5), (1.0, 1.0)), cls_agnostic_iou_pred=False, exp_clamp=None ): self.num_proposal = num_proposal self.gt_sigma = gt_sigma self.proposal_sigma = proposal_sigma self.cls_agnostic_iou_pred = cls_agnostic_iou_pred self.exp_clamp = exp_clamp def sample_jittered_boxes(self, gt_boxes): """ :param gt_boxes: BoxList containining the gt boxes for each image :return: """ orig_mode_list = [b.mode for b in gt_boxes] gt_boxes = [b.convert('xywh') for b in gt_boxes] proposal_density_list = [] gt_density_list = [] jittered_boxes = [] for gt_b in gt_boxes: device = gt_b.bbox.device b = gt_b.bbox.view(-1, 4).cpu() labels = gt_b.get_field("labels") out_boxes_list = [] for i in range(b.shape[0]): proposals, proposal_density, gt_density = sample_box_gmm(b[i, :], self.proposal_sigma, self.gt_sigma, self.num_proposal-1, True) proposals = proposals.to(device) proposal_density = proposal_density.to(device) gt_density = gt_density.to(device) out_boxes_list.append(proposals) proposal_density_list.append(proposal_density) gt_density_list.append(gt_density) out_boxes_t = torch.cat(out_boxes_list, dim=0) new_box = BoxList(out_boxes_t, image_size=gt_b.size, mode='xywh') labels = labels.view(-1, 1).repeat(1, self.num_proposal) new_box.add_field("labels", labels.view(-1)) jittered_boxes.append(new_box) jittered_boxes = [b.convert(m) for b, m in zip(jittered_boxes, orig_mode_list)] # TODO is this safe? self._proposal_density = torch.cat(proposal_density_list, dim=0) self._gt_density = torch.cat(gt_density_list, dim=0) self._proposals = jittered_boxes # TODO check output distribution return jittered_boxes def __call__(self, score): """ Computes the loss for Faster R-CNN. This requires that the subsample method has been called beforehand. Arguments: class_logits (list[Tensor]) box_regression (list[Tensor]) Returns: classification_loss (Tensor) box_loss (Tensor) """ # (score has shape: (num_bboxes, 81)) (num_bboxes can be different for every batch, e.g. 13952, 20608, ...) device = score.device # TODO handle multi-class stuff gt_density = self._gt_density # (shape: (num_bboxes)) proposal_density = self._proposal_density # (shape: (num_bboxes)) labels = cat([proposal.get_field("labels") for proposal in self._proposals], dim=0).long() sampled_pos_inds_subset = torch.nonzero(labels > 0).squeeze(1) labels_pos = labels[sampled_pos_inds_subset] if self.cls_agnostic_iou_pred: map_inds = torch.tensor([0], device=device) else: map_inds = labels_pos[:, None] # (score[sampled_pos_inds_subset[:, None], map_inds].view(-1, self.num_proposal) has shape: (num_gt_bboxes_in_batch, M)) (M == 128) (num_bboxes_in_batch can be different for each batch, e.g. 151, 109, ...) # (num_gt_bboxes_in_batch == num_bboxes/M) (score has shape: (num_bboxes, 81)) # (proposal_density[sampled_pos_inds_subset].view(-1, self.num_proposal) has shape: (num_gt-bboxes_in_batch, M)) # (gt_density[sampled_pos_inds_subset].view(-1, self.num_proposal) has shape: (num_gt_bboxes_in_batch, M)) iou_loss = ml_regression_loss_logsumexp( score[sampled_pos_inds_subset[:, None], map_inds].view(-1, self.num_proposal), proposal_density[sampled_pos_inds_subset].view(-1, self.num_proposal), gt_density[sampled_pos_inds_subset].view(-1, self.num_proposal), exp_max=10, size_average=False, mc_dim=1) # (iou_loss has shape: (num_bboxes_in_batch)) (num_bboxes_in_batch can be different for each batch, e.g. 49, 68, 142, 127, ...) iou_loss = iou_loss.sum() / (labels.numel() / self.num_proposal) # (labels.numel() / self.num_proposal == num_bboxes_in_batch) # (so, could also just have done iou_loss = torch.mean(iou_loss)?) return iou_loss class LossComputation_kldis(object): """ """ def __init__( self, num_proposal=128, gt_sigma=(0.125, 0.125), proposal_sigma=((0.125, 0.125), (0.25, 0.25), (0.5, 0.5), (1.0, 1.0)), cls_agnostic_iou_pred=False, exp_clamp=None ): self.num_proposal = num_proposal self.gt_sigma = gt_sigma self.proposal_sigma = proposal_sigma self.cls_agnostic_iou_pred = cls_agnostic_iou_pred self.exp_clamp = exp_clamp def sample_jittered_boxes(self, gt_boxes): """ :param gt_boxes: BoxList containining the gt boxes for each image :return: """ orig_mode_list = [b.mode for b in gt_boxes] gt_boxes = [b.convert('xywh') for b in gt_boxes] proposal_density_list = [] gt_density_list = [] jittered_boxes = [] for gt_b in gt_boxes: device = gt_b.bbox.device b = gt_b.bbox.view(-1, 4).cpu() labels = gt_b.get_field("labels") out_boxes_list = [] for i in range(b.shape[0]): proposals, proposal_density, gt_density = sample_box_gmm(b[i, :], self.proposal_sigma, self.gt_sigma, self.num_proposal, False) proposals = proposals.to(device) proposal_density = proposal_density.to(device) gt_density = gt_density.to(device) out_boxes_list.append(proposals) proposal_density_list.append(proposal_density) gt_density_list.append(gt_density) out_boxes_t = torch.cat(out_boxes_list, dim=0) new_box = BoxList(out_boxes_t, image_size=gt_b.size, mode='xywh') labels = labels.view(-1, 1).repeat(1, self.num_proposal) new_box.add_field("labels", labels.view(-1)) jittered_boxes.append(new_box) jittered_boxes = [b.convert(m) for b, m in zip(jittered_boxes, orig_mode_list)] # TODO is this safe? self._proposal_density = torch.cat(proposal_density_list, dim=0) self._gt_density = torch.cat(gt_density_list, dim=0) self._proposals = jittered_boxes # TODO check output distribution return jittered_boxes def __call__(self, score): """ Computes the loss for Faster R-CNN. This requires that the subsample method has been called beforehand. Arguments: class_logits (list[Tensor]) box_regression (list[Tensor]) Returns: classification_loss (Tensor) box_loss (Tensor) """ # (score has shape: (num_bboxes, 81)) (num_bboxes can be different for every batch, e.g. 13952, 20608, ...) device = score.device # TODO handle multi-class stuff gt_density = self._gt_density # (shape: (num_bboxes)) proposal_density = self._proposal_density # (shape: (num_bboxes)) labels = cat([proposal.get_field("labels") for proposal in self._proposals], dim=0).long() sampled_pos_inds_subset = torch.nonzero(labels > 0).squeeze(1) labels_pos = labels[sampled_pos_inds_subset] if self.cls_agnostic_iou_pred: map_inds = torch.tensor([0], device=device) else: map_inds = labels_pos[:, None] # (score[sampled_pos_inds_subset[:, None], map_inds].view(-1, self.num_proposal) has shape: (num_gt_bboxes_in_batch, M)) (M == 128) (num_bboxes_in_batch can be different for each batch, e.g. 151, 109, ...) # (num_gt_bboxes_in_batch == num_bboxes/M) (score has shape: (num_bboxes, 81)) # (proposal_density[sampled_pos_inds_subset].view(-1, self.num_proposal) has shape: (num_gt-bboxes_in_batch, M)) # (gt_density[sampled_pos_inds_subset].view(-1, self.num_proposal) has shape: (num_gt_bboxes_in_batch, M)) iou_loss = kl_regression_loss_logsumexp( score[sampled_pos_inds_subset[:, None], map_inds].view(-1, self.num_proposal), proposal_density[sampled_pos_inds_subset].view(-1, self.num_proposal), gt_density[sampled_pos_inds_subset].view(-1, self.num_proposal), exp_max=10, size_average=False, mc_dim=1) # (iou_loss has shape: (num_bboxes_in_batch)) (num_bboxes_in_batch can be different for each batch, e.g. 49, 68, 142, 127, ...) iou_loss = iou_loss.sum() / (labels.numel() / self.num_proposal) # (labels.numel() / self.num_proposal == num_bboxes_in_batch) # (so, could also just have done iou_loss = torch.mean(iou_loss)?) return iou_loss class LossComputation_nce(object): ######################################################################### """ """ def __init__( self, num_proposal=128, gt_sigma=(0.125, 0.125), proposal_sigma=((0.125, 0.125), (0.25, 0.25), (0.5, 0.5), (1.0, 1.0)), cls_agnostic_iou_pred=False, exp_clamp=None ): self.num_proposal = num_proposal self.gt_sigma = gt_sigma self.proposal_sigma = proposal_sigma self.cls_agnostic_iou_pred = cls_agnostic_iou_pred self.exp_clamp = exp_clamp def sample_jittered_boxes(self, gt_boxes): ###################################################### """ :param gt_boxes: BoxList containining the gt boxes for each image :return: """ orig_mode_list = [b.mode for b in gt_boxes] gt_boxes = [b.convert('xywh') for b in gt_boxes] proposal_density_list = [] gt_density_list = [] jittered_boxes = [] for gt_b in gt_boxes: device = gt_b.bbox.device b = gt_b.bbox.view(-1, 4).cpu() labels = gt_b.get_field("labels") out_boxes_list = [] for i in range(b.shape[0]): proposals, proposal_density, gt_density, proposal_density_zero = nce_sample_box_gmm(b[i, :], self.proposal_sigma, self.gt_sigma, self.num_proposal-1, True) proposals = proposals.to(device) proposal_density = proposal_density.to(device) gt_density = gt_density.to(device) out_boxes_list.append(proposals) proposal_density_list.append(proposal_density) gt_density_list.append(gt_density) out_boxes_t = torch.cat(out_boxes_list, dim=0) new_box = BoxList(out_boxes_t, image_size=gt_b.size, mode='xywh') labels = labels.view(-1, 1).repeat(1, self.num_proposal) new_box.add_field("labels", labels.view(-1)) jittered_boxes.append(new_box) jittered_boxes = [b.convert(m) for b, m in zip(jittered_boxes, orig_mode_list)] # TODO is this safe? self._proposal_density = torch.cat(proposal_density_list, dim=0) self._gt_density = torch.cat(gt_density_list, dim=0) self._proposals = jittered_boxes proposal_density_zero = proposal_density_zero.to(device) # (proposal_density_zero has shape: (num_proposl-1)) (all values are identical and constant) (this constant value only depends on std) self._proposal_density_zero = proposal_density_zero # TODO check output distribution return jittered_boxes def __call__(self, score): ############################################################## """ Computes the loss for Faster R-CNN. This requires that the subsample method has been called beforehand. Arguments: class_logits (list[Tensor]) box_regression (list[Tensor]) Returns: classification_loss (Tensor) box_loss (Tensor) """ # (score has shape: (num_bboxes, 81)) (num_bboxes can be different for every batch, e.g. 13952, 20608, ...) device = score.device # TODO handle multi-class stuff gt_density = self._gt_density # (shape: (num_bboxes)) proposal_density = self._proposal_density # (shape: (num_bboxes)) proposal_density_zero = self._proposal_density_zero # (shape: (num_proposl-1)) labels = cat([proposal.get_field("labels") for proposal in self._proposals], dim=0).long() sampled_pos_inds_subset = torch.nonzero(labels > 0).squeeze(1) labels_pos = labels[sampled_pos_inds_subset] if self.cls_agnostic_iou_pred: map_inds = torch.tensor([0], device=device) else: map_inds = labels_pos[:, None] score = score[sampled_pos_inds_subset[:, None], map_inds].view(-1, self.num_proposal) # (shape: (num_gt_bboxes_in_batch, M)) proposal_density = proposal_density[sampled_pos_inds_subset].view(-1, self.num_proposal) # (shape: (num_gt_bboxes_in_batch, M)) q_y_samples = proposal_density[:, 1:] # (shape: (num_gt_bboxes_in_batch, M-1)) q_ys = proposal_density_zero[0]*torch.ones(q_y_samples.size(0)) # (shape: (num_gt_bboxes_in_batch)) q_ys = q_ys.to(device) scores_gt = score[:, 0] # (shape: (num_gt_bboxes_in_batch)) scores_samples = score[:, 1:] # (shape: (num_gt_bboxes_in_batch, M-1)) loss = -torch.mean(scores_gt-torch.log(q_ys) - torch.log(torch.exp(scores_gt-torch.log(q_ys)) + torch.sum(torch.exp(scores_samples-torch.log(q_y_samples)), dim=1))) return loss class LossComputation_dsm(object): ######################################################################### """ """ def __init__( self, num_proposal=128, gt_sigma=(0.125, 0.125), proposal_sigma=((0.125, 0.125), (0.25, 0.25), (0.5, 0.5), (1.0, 1.0)), cls_agnostic_iou_pred=False, exp_clamp=None ): self.num_proposal = num_proposal self.gt_sigma = gt_sigma self.proposal_sigma = proposal_sigma self.dctd_proposal_sigma = ((0.0375, 0.0375), (0.075, 0.075), (0.15, 0.15)) self.cls_agnostic_iou_pred = cls_agnostic_iou_pred self.exp_clamp = exp_clamp def sample_jittered_boxes(self, gt_boxes): ###################################################### """ :param gt_boxes: BoxList containining the gt boxes for each image :return: """ orig_mode_list = [b.mode for b in gt_boxes] gt_boxes = [b.convert('xywh') for b in gt_boxes] proposal_density_list = [] gt_density_list = [] jittered_boxes = [] for gt_b in gt_boxes: device = gt_b.bbox.device b = gt_b.bbox.view(-1, 4).cpu() labels = gt_b.get_field("labels") out_boxes_list = [] for i in range(b.shape[0]): proposals, proposal_density, gt_density = sample_box_gmm(b[i, :], self.proposal_sigma, self.gt_sigma, self.num_proposal, False) proposals = proposals.to(device) proposal_density = proposal_density.to(device) gt_density = gt_density.to(device) out_boxes_list.append(proposals) proposal_density_list.append(proposal_density) gt_density_list.append(gt_density) out_boxes_t = torch.cat(out_boxes_list, dim=0) new_box = BoxList(out_boxes_t, image_size=gt_b.size, mode='xywh') labels = labels.view(-1, 1).repeat(1, self.num_proposal) new_box.add_field("labels", labels.view(-1)) jittered_boxes.append(new_box) jittered_boxes = [b.convert(m) for b, m in zip(jittered_boxes, orig_mode_list)] # TODO is this safe? self._proposal_density = torch.cat(proposal_density_list, dim=0) self._gt_density = torch.cat(gt_density_list, dim=0) self._proposals = jittered_boxes # TODO check output distribution return jittered_boxes def __call__(self, fs, ys, y_samples): ############################################################## # (fs has shape: (num_gt_bboxes_in_batch*M, 81)) # (ys is a list of 16 elements, each element is a BoxList) # (y_samples is a list of 16 elements, each element is a BoxList) # print (fs.size()) # print (ys) # print (len(ys)) # print ("%%%") # print (y_samples) # print (len(y_samples)) # print ("%%%") sigma = self.proposal_sigma[0][0] # print (sigma) # num_gt_bboxes_in_batch = 0 # for y in ys: # num_gt_bboxes_in_batch += y.bbox.size(0) # print ("num_gt_bboxes_in_batch: %d" % num_gt_bboxes_in_batch) # num_sampled_bboxes_in_batch = 0 # for y_sample in y_samples: # num_sampled_bboxes_in_batch += y_sample.bbox.size(0) # print ("num_sampled_bboxes_in_batch: %d" % num_sampled_bboxes_in_batch) # print ("num_gt_bboxes_in_batch*M: %d" % (num_gt_bboxes_in_batch*128)) device = fs.device labels = cat([proposal.get_field("labels") for proposal in self._proposals], dim=0).long() sampled_pos_inds_subset = torch.nonzero(labels > 0).squeeze(1) labels_pos = labels[sampled_pos_inds_subset] if self.cls_agnostic_iou_pred: map_inds = torch.tensor([0], device=device) else: map_inds = labels_pos[:, None] fs = fs[sampled_pos_inds_subset[:, None], map_inds] # (shape: (num_gt_bboxes_in_batch*M, 1)) fs = fs.squeeze(1) # (shape: (num_gt_bboxes_in_batch*M)) # print (fs.size()) losses = [] num_processed_bboxes = 0 for y_samples_i, ys_i in zip(y_samples, ys): # (ys_i.bbox has shape: (num_gt_bboxes_in_img, 4)) (num_gt_bboxes_in_img can be different for different images) # (y_samples_i.bbox has shape: (num_gt_bboxes_in_img*M, 4)) # print (ys_i.bbox.size()) # print (y_samples_i.bbox.size()) num_bboxes_i = y_samples_i.bbox.size(0) # print (num_bboxes_i) fs_i = fs[num_processed_bboxes:(num_processed_bboxes + num_bboxes_i)] # (shape: (num_gt_bboxes_in_img*M)) # print (fs_i.size()) num_processed_bboxes += num_bboxes_i # print (num_processed_bboxes) # print (num_bboxes_i) if (fs.size(0) > 30000) and (num_bboxes_i > 2500): continue grad_y_fs_i = torch.autograd.grad(fs_i.sum(), y_samples_i.bbox, create_graph=True)[0] # (shape: (num_gt_bboxes_in_img*M, 4)) (like y_samples_i.bbox) # print (grad_y_fs_i) # print (grad_y_fs_i.size()) ys_i_ = ys_i.bbox.view(ys_i.bbox.size(0), 1, -1).expand(-1, self.num_proposal, -1) # (shape: (num_gt_bboxes_in_img, M, 4)) # print (ys_i_.size()) ys_i_ = ys_i_.reshape(ys_i.bbox.size(0)*self.num_proposal, -1) # (shape: (num_gt_bboxes_in_img*M, 4)) ys_i = ys_i_ # print (ys_i.size()) loss_i = torch.norm(grad_y_fs_i + (rect_to_rel(y_samples_i.bbox)-rect_to_rel(ys_i))/(sigma**2), dim=1)**2 # (shape: (num_gt_bboxes_in_img*M)) # print (loss_i.size()) losses.append(loss_i) # print ("{{{{{{{}}}}}}}") loss = torch.cat(losses) # (shape: (num_gt_bboxes_in_batch*M)) # print (loss.size()) loss = torch.mean(loss) return loss class LossComputation_mlmcmc(object): ######################################################################### """ """ def __init__( self, num_proposal=128, gt_sigma=(0.125, 0.125), proposal_sigma=((0.125, 0.125), (0.25, 0.25), (0.5, 0.5), (1.0, 1.0)), cls_agnostic_iou_pred=False, exp_clamp=None ): self.num_proposal = num_proposal self.gt_sigma = gt_sigma self.proposal_sigma = proposal_sigma self.cls_agnostic_iou_pred = cls_agnostic_iou_pred self.exp_clamp = exp_clamp def copy_targets(self, gt_boxes): ###################################################### """ :param gt_boxes: BoxList containining the gt boxes for each image :return: """ orig_mode_list = [b.mode for b in gt_boxes] gt_boxes = [b.convert('xywh') for b in gt_boxes] proposal_density_list = [] gt_density_list = [] jittered_boxes = [] for gt_b in gt_boxes: device = gt_b.bbox.device b = gt_b.bbox.view(-1, 4).cpu() labels = gt_b.get_field("labels") out_boxes_list = [] for i in range(b.shape[0]): proposals, proposal_density, gt_density = sample_box_gmm(b[i, :], ((1.0e-12, 1.0e-12), (1.0e-12, 1.0e-12)), self.gt_sigma, self.num_proposal-1, True) proposals = proposals.to(device) proposal_density = proposal_density.to(device) gt_density = gt_density.to(device) out_boxes_list.append(proposals) proposal_density_list.append(proposal_density) gt_density_list.append(gt_density) out_boxes_t = torch.cat(out_boxes_list, dim=0) new_box = BoxList(out_boxes_t, image_size=gt_b.size, mode='xywh') labels = labels.view(-1, 1).repeat(1, self.num_proposal) new_box.add_field("labels", labels.view(-1)) jittered_boxes.append(new_box) jittered_boxes = [b.convert(m) for b, m in zip(jittered_boxes, orig_mode_list)] # TODO is this safe? self._proposal_density = torch.cat(proposal_density_list, dim=0) self._gt_density = torch.cat(gt_density_list, dim=0) self._proposals = jittered_boxes # TODO check output distribution return jittered_boxes def __call__(self, fs, f_samples, target_labels): ############################################################## """ Computes the loss for Faster R-CNN. This requires that the subsample method has been called beforehand. Arguments: class_logits (list[Tensor]) box_regression (list[Tensor]) Returns: classification_loss (Tensor) box_loss (Tensor) """ # print ("__call__ - 1") # (fs has shape: (num_gt_bboxes_in_batch)) # (f_samples has shape: (num_gt_bboxes_in_batch*M)) # (target_labels has shape: (num_gt_bboxes_in_batch)) # print (fs.size()) # print (f_samples.size()) # print (target_labels.size()) device = fs.device # print ("__call__ - 2") labels = cat([proposal.get_field("labels") for proposal in self._proposals], dim=0).long() # (shape: (num_gt_bboxes_in_batch*M)) # print (labels.size()) # print ("__call__ - 3") samples_pos_inds_subset = torch.nonzero(labels > 0).squeeze(1) # (shape: (num_gt_bboxes_in_batch*M)) (it seems) # print (samples_pos_inds_subset.size()) target_pos_inds_subset = torch.nonzero(target_labels > 0).squeeze(1) # (shape: (num_gt_bboxes_in_batch)) (it seems) # print (target_pos_inds_subset.size()) # print ("__call__ - 4") fs = fs[target_pos_inds_subset] # (shape: (num_gt_bboxes_in_batch)) # print (fs.size()) f_samples = f_samples[samples_pos_inds_subset] # (shape: (num_gt_bboxes_in_batch*M)) # print (f_samples.size()) f_samples = f_samples.view(-1, self.num_proposal) # (shape: (num_gt_bboxes_in_batch, M)) # print (f_samples.size()) # print ("__call__ - 5") loss = torch.mean(f_samples, dim=1) - fs # (shape: (num_gt_bboxes_in_batch)) # print (loss.size()) loss = torch.mean(loss) # print ("__call__ - 6") return loss class LossComputation_nceplus(object): ######################################################################### """ """ def __init__( self, num_proposal=128, gt_sigma=(0.125, 0.125), proposal_sigma=((0.125, 0.125), (0.25, 0.25), (0.5, 0.5), (1.0, 1.0)), cls_agnostic_iou_pred=False, exp_clamp=None ): self.num_proposal = num_proposal self.gt_sigma = gt_sigma self.proposal_sigma = proposal_sigma self.cls_agnostic_iou_pred = cls_agnostic_iou_pred self.exp_clamp = exp_clamp def sample_jittered_boxes(self, gt_boxes, beta): ###################################################### """ :param gt_boxes: BoxList containining the gt boxes for each image :return: """ # print (self.proposal_sigma) # print (beta) orig_mode_list = [b.mode for b in gt_boxes] gt_boxes = [b.convert('xywh') for b in gt_boxes] proposal_density_list = [] gt_density_list = [] jittered_boxes = [] for gt_b in gt_boxes: device = gt_b.bbox.device b = gt_b.bbox.view(-1, 4).cpu() labels = gt_b.get_field("labels") out_boxes_list = [] for i in range(b.shape[0]): proposals, proposal_density, gt_density, proposal_density_zero = nce_sample_box_gmm(b[i, :], self.proposal_sigma, self.gt_sigma, self.num_proposal-1, True) proposals2, proposal_density2, _ = nce_sample_box_gmm2(b[i, :], self.proposal_sigma, beta, self.gt_sigma, 1, False) # (proposals has shape: (M, 4)) # (proposal_density has shape: (M)) # (proposals2 has shape: (1, 4)) # (proposal_density2 has shape: (1)) # print (b[i, :]) # print ("{{{}}}") # # print (proposals[0:17]) # print ("{{{}}}") # # print (proposals2) # print ("{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}") proposals = torch.cat([proposals, proposals2]) # (shape: (M+1, 4)) proposal_density = torch.cat([proposal_density, proposal_density2]) # (shape: (M+1)) # if i == 0: # print (proposals[0:5]) # print ("@@@@@@@@@@") proposals = proposals.to(device) proposal_density = proposal_density.to(device) gt_density = gt_density.to(device) out_boxes_list.append(proposals) proposal_density_list.append(proposal_density) gt_density_list.append(gt_density) # print ("{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{{}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}") out_boxes_t = torch.cat(out_boxes_list, dim=0) new_box = BoxList(out_boxes_t, image_size=gt_b.size, mode='xywh') labels = labels.view(-1, 1).repeat(1, self.num_proposal+1) new_box.add_field("labels", labels.view(-1)) jittered_boxes.append(new_box) jittered_boxes = [b.convert(m) for b, m in zip(jittered_boxes, orig_mode_list)] # TODO is this safe? self._proposal_density = torch.cat(proposal_density_list, dim=0) self._gt_density = torch.cat(gt_density_list, dim=0) self._proposals = jittered_boxes proposal_density_zero = proposal_density_zero.to(device) # (proposal_density_zero has shape: (num_proposl-1)) (all values are identical and constant) (this constant value only depends on std) self._proposal_density_zero = proposal_density_zero # TODO check output distribution return jittered_boxes def __call__(self, score): ############################################################## """ Computes the loss for Faster R-CNN. This requires that the subsample method has been called beforehand. Arguments: class_logits (list[Tensor]) box_regression (list[Tensor]) Returns: classification_loss (Tensor) box_loss (Tensor) """ # (score has shape: (num_bboxes, 81)) (num_bboxes can be different for every batch, e.g. 13952, 20608, ...) device = score.device # TODO handle multi-class stuff gt_density = self._gt_density # (shape: (num_bboxes)) proposal_density = self._proposal_density # (shape: (num_bboxes)) proposal_density_zero = self._proposal_density_zero # (shape: (num_proposl-1)) labels = cat([proposal.get_field("labels") for proposal in self._proposals], dim=0).long() sampled_pos_inds_subset = torch.nonzero(labels > 0).squeeze(1) labels_pos = labels[sampled_pos_inds_subset] if self.cls_agnostic_iou_pred: map_inds = torch.tensor([0], device=device) else: map_inds = labels_pos[:, None] score = score[sampled_pos_inds_subset[:, None], map_inds].view(-1, self.num_proposal+1) # (shape: (num_gt_bboxes_in_batch, M+1)) proposal_density = proposal_density[sampled_pos_inds_subset].view(-1, self.num_proposal+1) # (shape: (num_gt_bboxes_in_batch, M+1)) q_y_samples = proposal_density[:, 1:self.num_proposal] # (shape: (num_gt_bboxes_in_batch, M-1)) # q_ys = proposal_density_zero[0]*torch.ones(q_y_samples.size(0)) # (shape: (num_gt_bboxes_in_batch)) # q_ys = q_ys.to(device) q_ys2 = proposal_density[:, self.num_proposal] # (shape: (num_gt_bboxes_in_batch)) # scores_gt = score[:, 0] # (shape: (num_gt_bboxes_in_batch)) scores_gt2 = score[:, self.num_proposal] # (shape: (num_gt_bboxes_in_batch)) scores_samples = score[:, 1:self.num_proposal] # (shape: (num_gt_bboxes_in_batch, M-1)) loss = -torch.mean(scores_gt2-torch.log(q_ys2) - torch.log(torch.exp(scores_gt2-torch.log(q_ys2)) + torch.sum(torch.exp(scores_samples-torch.log(q_y_samples)), dim=1))) return loss def make_roi_iou_loss_evaluator(cfg): num_proposal = cfg.MODEL.ROI_IOU_HEAD.NUM_TRAIN_PROPOSALS proposal_min_overlap = cfg.MODEL.ROI_IOU_HEAD.MIN_OVERLAP_PROPOSAL cls_agnostic_iou_pred = cfg.MODEL.CLS_AGNOSTIC_IOU_PRED loss_type = cfg.MODEL.ROI_IOU_HEAD.LOSS_TYPE sampling_type = cfg.MODEL.ROI_IOU_HEAD.PROPOSAL_SAMPLING_TYPE proposal_sigma = cfg.MODEL.ROI_IOU_HEAD.PROPOSAL_SIGMA gt_sigma = cfg.MODEL.ROI_IOU_HEAD.GT_SIGMA if loss_type == "ML-IS": loss_evaluator = LossComputation_mlis(num_proposal=num_proposal, gt_sigma=gt_sigma, proposal_sigma=proposal_sigma, cls_agnostic_iou_pred=cls_agnostic_iou_pred, exp_clamp=None ) elif loss_type == "KLD-IS": loss_evaluator = LossComputation_kldis(num_proposal=num_proposal, gt_sigma=gt_sigma, proposal_sigma=proposal_sigma, cls_agnostic_iou_pred=cls_agnostic_iou_pred, exp_clamp=None ) elif loss_type == "NCE": loss_evaluator = LossComputation_nce(num_proposal=num_proposal, gt_sigma=gt_sigma, proposal_sigma=proposal_sigma, cls_agnostic_iou_pred=cls_agnostic_iou_pred, exp_clamp=None ) elif loss_type == "DSM": loss_evaluator = LossComputation_dsm(num_proposal=num_proposal, gt_sigma=gt_sigma, proposal_sigma=proposal_sigma, cls_agnostic_iou_pred=cls_agnostic_iou_pred, exp_clamp=None ) elif loss_type == "ML-MCMC": loss_evaluator = LossComputation_mlmcmc(num_proposal=num_proposal, gt_sigma=gt_sigma, proposal_sigma=proposal_sigma, cls_agnostic_iou_pred=cls_agnostic_iou_pred, exp_clamp=None ) elif loss_type == "NCE+": loss_evaluator = LossComputation_nceplus(num_proposal=num_proposal, gt_sigma=gt_sigma, proposal_sigma=proposal_sigma, cls_agnostic_iou_pred=cls_agnostic_iou_pred, exp_clamp=None ) else: raise ValueError return loss_evaluator

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8646f3b9872326e55f4a737c981fa618ebe97292

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py

Python

minihinch/gui/fonts/arial_50.py

aabbtree77/esp32-mqtt-experiments

c008161a2cfe8607d6e3d5b635cbccc98b4bd553

[ "MIT" ]

198

2018-08-31T22:30:28.000Z

2022-03-27T14:21:36.000Z

minihinch/gui/fonts/arial_50.py

aabbtree77/esp32-mqtt-experiments

c008161a2cfe8607d6e3d5b635cbccc98b4bd553

[ "MIT" ]

24

2018-10-01T23:44:25.000Z

2022-01-08T09:05:14.000Z

minihinch/gui/fonts/arial_50.py

aabbtree77/esp32-mqtt-experiments

c008161a2cfe8607d6e3d5b635cbccc98b4bd553

[ "MIT" ]

44

2018-09-30T02:09:56.000Z

2022-03-25T07:37:36.000Z

# Code generated by font_to_py.py. # Font: Arial.ttf Char set: 0123456789: # Cmd: ./font_to_py.py Arial.ttf 50 arial_50.py -x -c 0123456789: version = '0.33' def height(): return 50 def baseline(): return 49 def max_width(): return 37 def hmap(): return True def reverse(): return False def monospaced(): return False def min_ch(): return 48 def max_ch(): return 63 _font =\ b'\x25\x00\x00\x03\xfe\x00\x00\x00\x1f\xff\xc0\x00\x00\x7f\xff\xf0'\ b'\x00\x00\xff\xff\xf8\x00\x01\xff\xff\xfc\x00\x03\xff\xff\xfe\x00'\ b'\x07\xfe\x03\xff\x00\x07\xf8\x00\xff\x80\x0f\xf0\x00\x7f\x80\x0f'\ b'\xe0\x00\x3f\x80\x0f\xc0\x00\x1f\xc0\x1f\xc0\x00\x1f\xc0\x1f\xc0'\ b'\x00\x0f\xc0\x1f\x80\x00\x0f\xc0\x03\x80\x00\x0f\xc0\x00\x00\x00'\ b'\x0f\xc0\x00\x00\x00\x0f\xc0\x00\x00\x00\x1f\x80\x00\x00\x00\x3f'\ b'\x80\x00\x00\x00\x7f\x00\x00\x00\x00\xff\x00\x00\x00\x01\xfe\x00'\ b'\x00\x00\x03\xfc\x00\x00\x00\x07\xf8\x00\x00\x00\x0f\xf0\x00\x00'\ b'\x00\x1f\xe0\x00\x00\x00\x3f\xc0\x00\x00\x00\x7f\x80\x00\x00\x00'\ b'\x7f\x00\x00\x00\x00\xfe\x00\x00\x00\x00\xfc\x00\x00\x00\x01\xfc'\ b'\x00\x00\x00\x01\xfc\x00\x00\x00\x01\xf8\x00\x00\x00\x01\xf8\x00'\ b'\x00\x00\x01\xf8\x00\x00\x00\x01\xf8\x00\x00\x00\x01\xf8\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\xf8\x00\x00\x00\x01'\ b'\xf8\x00\x00\x00\x01\xf8\x00\x00\x00\x01\xf8\x00\x00\x00\x01\xf8'\ b'\x00\x00\x00\x01\xf8\x00\x00\x00\x00\x00\x00\x00\x25\x00\x00\x00'\ b'\x00\x00\x00\x00\x03\xfe\x00\x00\x00\x0f\xff\x80\x00\x00\x3f\xff'\ b'\xe0\x00\x00\x7f\xff\xf0\x00\x00\xff\xff\xf8\x00\x01\xff\xff\xfc'\ b'\x00\x03\xfe\x07\xfc\x00\x03\xfc\x01\xfe\x00\x07\xf0\x00\xfe\x00'\ b'\x07\xf0\x00\x7f\x00\x07\xe0\x00\x3f\x00\x0f\xe0\x00\x3f\x00\x0f'\ b'\xc0\x00\x1f\x80\x0f\xc0\x00\x1f\x80\x0f\xc0\x00\x1f\x80\x0f\xc0'\ b'\x00\x1f\x80\x1f\x80\x00\x0f\xc0\x1f\x80\x00\x0f\xc0\x1f\x80\x00'\ b'\x0f\xc0\x1f\x80\x00\x0f\xc0\x1f\x80\x00\x0f\xc0\x1f\x80\x00\x0f'\ b'\xc0\x1f\x80\x00\x0f\xc0\x1f\x80\x00\x0f\xc0\x1f\x80\x00\x0f\xc0'\ b'\x1f\x80\x00\x0f\xc0\x1f\x80\x00\x0f\xc0\x1f\x80\x00\x0f\xc0\x1f'\ b'\x80\x00\x0f\xc0\x1f\x80\x00\x0f\xc0\x1f\x80\x00\x0f\xc0\x1f\x80'\ b'\x00\x0f\xc0\x1f\x80\x00\x0f\xc0\x0f\xc0\x00\x1f\x80\x0f\xc0\x00'\ b'\x1f\x80\x0f\xc0\x00\x1f\x80\x0f\xc0\x00\x1f\x80\x0f\xe0\x00\x3f'\ b'\x80\x07\xe0\x00\x3f\x00\x07\xf0\x00\x7f\x00\x07\xf8\x00\xff\x00'\ b'\x03\xfc\x01\xfe\x00\x03\xff\x07\xfe\x00\x01\xff\xff\xfc\x00\x00'\ b'\xff\xff\xf8\x00\x00\x7f\xff\xf0\x00\x00\x3f\xff\xe0\x00\x00\x0f'\ b'\xff\x80\x00\x00\x03\xfe\x00\x00\x25\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x07\x80\x00\x00\x00\x0f\x80\x00\x00\x00\x0f\x80\x00\x00\x00'\ b'\x1f\x80\x00\x00\x00\x3f\x80\x00\x00\x00\x7f\x80\x00\x00\x00\xff'\ b'\x80\x00\x00\x03\xff\x80\x00\x00\x07\xff\x80\x00\x00\x0f\xff\x80'\ b'\x00\x00\x3f\xff\x80\x00\x00\xff\xdf\x80\x00\x01\xff\x9f\x80\x00'\ b'\x01\xfe\x1f\x80\x00\x01\xfc\x1f\x80\x00\x01\xf0\x1f\x80\x00\x01'\ b'\xc0\x1f\x80\x00\x00\x00\x1f\x80\x00\x00\x00\x1f\x80\x00\x00\x00'\ b'\x1f\x80\x00\x00\x00\x1f\x80\x00\x00\x00\x1f\x80\x00\x00\x00\x1f'\ b'\x80\x00\x00\x00\x1f\x80\x00\x00\x00\x1f\x80\x00\x00\x00\x1f\x80'\ b'\x00\x00\x00\x1f\x80\x00\x00\x00\x1f\x80\x00\x00\x00\x1f\x80\x00'\ b'\x00\x00\x1f\x80\x00\x00\x00\x1f\x80\x00\x00\x00\x1f\x80\x00\x00'\ b'\x00\x1f\x80\x00\x00\x00\x1f\x80\x00\x00\x00\x1f\x80\x00\x00\x00'\ b'\x1f\x80\x00\x00\x00\x1f\x80\x00\x00\x00\x1f\x80\x00\x00\x00\x1f'\ b'\x80\x00\x00\x00\x1f\x80\x00\x00\x00\x1f\x80\x00\x00\x00\x1f\x80'\ b'\x00\x00\x00\x1f\x80\x00\x00\x00\x1f\x80\x00\x00\x00\x1f\x80\x00'\ b'\x00\x00\x1f\x80\x00\x00\x00\x1f\x80\x00\x00\x00\x1f\x80\x00\x00'\ b'\x00\x00\x00\x00\x25\x00\x00\x00\x00\x00\x00\x00\x03\xfe\x00\x00'\ b'\x00\x1f\xff\xc0\x00\x00\x7f\xff\xe0\x00\x01\xff\xff\xf8\x00\x03'\ b'\xff\xff\xfc\x00\x03\xff\xff\xfc\x00\x07\xfe\x07\xfe\x00\x0f\xf0'\ b'\x00\xff\x00\x0f\xe0\x00\x7f\x00\x0f\xc0\x00\x3f\x00\x1f\xc0\x00'\ 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b'\x80\x00\x0f\xc0\x1f\x80\x00\x0f\xc0\x1f\x80\x00\x0f\xc0\x1f\x80'\ b'\x00\x0f\xc0\x1f\xc0\x00\x1f\xc0\x0f\xc0\x00\x1f\xc0\x0f\xe0\x00'\ b'\x3f\xc0\x0f\xf0\x00\x7f\xc0\x07\xf8\x00\xff\xc0\x07\xfe\x03\xff'\ b'\xc0\x03\xff\xff\xff\xc0\x01\xff\xff\xef\xc0\x00\xff\xff\xcf\xc0'\ b'\x00\x7f\xff\x0f\xc0\x00\x1f\xfe\x0f\xc0\x00\x07\xf0\x0f\xc0\x00'\ b'\x00\x00\x1f\x80\x00\x00\x00\x1f\x80\x00\x00\x00\x1f\x80\x00\x00'\ b'\x00\x1f\x80\x00\x00\x00\x3f\x00\x0f\xc0\x00\x3f\x00\x0f\xc0\x00'\ b'\x3f\x00\x0f\xe0\x00\x7e\x00\x07\xe0\x00\xfe\x00\x07\xf0\x01\xfc'\ b'\x00\x03\xfc\x07\xfc\x00\x03\xff\xff\xf8\x00\x01\xff\xff\xf0\x00'\ b'\x00\xff\xff\xe0\x00\x00\x7f\xff\xc0\x00\x00\x1f\xff\x00\x00\x00'\ b'\x07\xf8\x00\x00\x12\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x03\xf0\x00\x03\xf0\x00\x03\xf0\x00\x03\xf0\x00\x03\xf0\x00\x03'\ b'\xf0\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x03\xf0\x00\x03\xf0\x00\x03\xf0\x00'\ b'\x03\xf0\x00\x03\xf0\x00\x03\xf0\x00\x00\x00\x00' _index =\ b'\x00\x00\xfc\x00\xf8\x01\xf4\x02\xf0\x03\xec\x04\xe8\x05\xe4\x06'\ b'\xe0\x07\xdc\x08\xd8\x09\xd4\x0a\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x6c\x0b' _mvfont = memoryview(_font) _mvi = memoryview(_index) ifb = lambda l : l[0] | (l[1] << 8) def get_ch(ch): oc = ord(ch) ioff = 2 * (oc - 48 + 1) if oc >= 48 and oc <= 63 else 0 doff = ifb(_mvi[ioff : ]) width = ifb(_mvfont[doff : ]) next_offs = doff + 2 + ((width - 1)//8 + 1) * 50 return _mvfont[doff + 2:next_offs], 50, width

58.158798

68

0.703786

3,272

13,551

2.908619

0.031785

0.46212

0.381107

0.240832

0.8385

0.753494

0.700116

0.62982

0.556163

0.505622

0

0.339435

0.028411

13,551

232

69

58.409483

0.383412

0.009889

0

0.12093

1

0.860465

0.883024

0.881533

0

1

0

1

0.04186

false

0

0.037209

0.083721

0

null

1

0

1

0

1

0

1

null

1

0

13

8650b678b1deb288e3f71c5785e520b3a120b022

55,912

py

Python

backend/api/tests/ProyectoTestCase.py

kukiamarilla/polijira

510dbc1473db973ac71fc68fa5a9b758b90a780b

[ "MIT" ]

1

2022-03-02T02:28:49.000Z

backend/api/tests/ProyectoTestCase.py

kukiamarilla/polijira

510dbc1473db973ac71fc68fa5a9b758b90a780b

[ "MIT" ]

22

2021-09-01T17:44:25.000Z

2021-10-07T19:39:09.000Z

backend/api/tests/ProyectoTestCase.py

kukiamarilla/polijira

510dbc1473db973ac71fc68fa5a9b758b90a780b

[ "MIT" ]

null

import datetime from django.test import TestCase, Client from backend.api.models import Miembro, Proyecto, RolProyecto, Usuario, Permiso, PermisoProyecto, SprintBacklog from backend.api.models.Sprint import Sprint from backend.api.models.UserStory import UserStory class ProyectoTestCase(TestCase): """ ProyectoTestCase Prueba las funcionalidades del modelo Proyecto """ fixtures = [ "backend/api/fixtures/testing/auth.json", "backend/api/fixtures/testing/usuarios.json", "backend/api/fixtures/testing/permisos.json", "backend/api/fixtures/testing/roles.json", "backend/api/fixtures/testing/proyectos.json", "backend/api/fixtures/testing/permisosProyecto.json", "backend/api/fixtures/testing/plantillas.json", "backend/api/fixtures/testing/rolesProyecto.json", "backend/api/fixtures/testing/miembros.json", "backend/api/fixtures/testing/horarios.json", "backend/api/fixtures/testing/user-stories.json", "backend/api/fixtures/testing/product-backlogs.json", "backend/api/fixtures/testing/registro-user-stories.json", "backend/api/fixtures/testing/sprints.json", "backend/api/fixtures/testing/sprintbacklogs.json", "backend/api/fixtures/testing/miembrosprints.json", ] def setUp(self): """ setUp Configura el TestCase """ self.client = Client() def test_listar_todos_los_proyectos_sin_permiso_ver_proyecto(self): """ test_listar_proyectos_sin_permiso_ver_proyecto Prueba listar todos los proyectos al que es miembro el usuario """ print("\nProbando listar todos los proyectos.") self.client.login(username="testing", password="polijira2021") Permiso.objects.get(codigo="ver_proyectos").delete() response = self.client.get("/api/proyectos/") body = response.json() self.assertEquals(response.status_code, 200) usuario = Usuario.objects.get(pk=1) self.assertEquals(Proyecto.objects.filter(miembros__usuario=usuario).count(), len(body)) def test_listar_todos_los_proyectos(self): """ test_listar_todos_los_proyectos Prueba listar todos los proyectos del sistema """ print("\nProbando listar todos los proyectos del sistema.") self.client.login(username="testing", password="polijira2021") response = self.client.get("/api/proyectos/") body = response.json() self.assertEquals(response.status_code, 200) self.assertEquals(Proyecto.objects.count(), len(body)) def test_obtener_proyecto(self): """ test_obtener_proyecto Prueba obtener detalles de un proyecto """ print("\nProbando obtener detalles de un proyecto.") self.client.login(username="testing", password="polijira2021") response = self.client.get("/api/proyectos/1/") self.assertEquals(response.status_code, 200) body = response.json() proyecto = Proyecto.objects.get(pk=1) self.assertEquals(body['nombre'], proyecto.nombre) self.assertEquals(body['fecha_inicio'], str(proyecto.fecha_inicio)) self.assertEquals(body['fecha_fin'], str(proyecto.fecha_fin)) self.assertEquals(body['scrum_master']['id'], proyecto.scrum_master.id) self.assertEquals(body['estado'], proyecto.estado) def test_obtener_proyecto_no_existente(self): """ test_obtener_proyecto_no_existente Prueba obtener detalles de un proyecto que no existe """ print("\nProbando obtener detalles de un proyecto que no existe") self.client.login(username="testing", password="polijira2021") response = self.client.get("/api/proyectos/1000/") body = response.json() self.assertEquals(body['error'], 'not_found') self.assertEquals(response.status_code, 404) def test_crear_proyecto(self): """ test_crear_proyecto Prueba crear un proyecto """ print("\nProbando crear un proyecto") self.client.login(username="testing", password="polijira2021") proyecto_body = { "nombre": "ProyectoTestCrear", "fecha_inicio": datetime.date.today(), "fecha_fin": datetime.date.today() + datetime.timedelta(5), "scrum_master_id": 2 } response = self.client.post("/api/proyectos/", proyecto_body, content_type="application/json") self.assertEquals(response.status_code, 200) proyecto = Proyecto.objects.filter( nombre=proyecto_body["nombre"], fecha_inicio=proyecto_body["fecha_inicio"], fecha_fin=proyecto_body["fecha_fin"], scrum_master=Usuario.objects.get(pk=proyecto_body["scrum_master_id"]), estado="P" ) self.assertEquals(len(proyecto), 1) proyecto = proyecto[0] miembro = Miembro.objects.filter( usuario=proyecto.scrum_master, proyecto=proyecto, rol=RolProyecto.objects.get(nombre="Scrum Master", proyecto=proyecto) ) self.assertEquals(len(miembro), 1) body = response.json() self.assertEquals(body["nombre"], proyecto.nombre) self.assertEquals(body["fecha_inicio"], str(proyecto.fecha_inicio)) self.assertEquals(body["fecha_fin"], str(proyecto.fecha_fin)) self.assertEquals(body["scrum_master"]["id"], proyecto.scrum_master.id) self.assertEquals(proyecto.estado, "P") def test_crear_proyecto_pasando_un_estado(self): """ test_crear_proyecto_pasando_un_estado Prueba crear un proyecto pasando un estado que difiere de su estado inicial Pendiente """ print("\nProbando crear un proyecto asignando un estado diferente a Pendiente") self.client.login(username="testing", password="polijira2021") proyecto_body = { "nombre": "ProyectoTestCrear", "fecha_inicio": datetime.date.today(), "fecha_fin": datetime.date.today() + datetime.timedelta(5), "scrum_master_id": 2, "estado": "A" } response = self.client.post("/api/proyectos/", proyecto_body) self.assertEquals(response.status_code, 200) proyecto = Proyecto.objects.filter( nombre=proyecto_body["nombre"], fecha_inicio=proyecto_body["fecha_inicio"], fecha_fin=proyecto_body["fecha_fin"], scrum_master=Usuario.objects.get(pk=proyecto_body["scrum_master_id"]), ) self.assertEquals(len(proyecto), 1) proyecto = proyecto[0] self.assertEquals(proyecto.estado, "P") def test_crear_proyecto_sin_permiso_crear_proyectos(self): """ test_crear_proyecto_sin_permiso_crear_proyectos Prueba crear un proyecto sin tener permiso de crear proyectos """ print("\nProbando crear proyecto sin permiso crear proyectos") self.client.login(username="testing", password="polijira2021") Permiso.objects.get(pk=11).delete() proyecto_body = { "nombre": "ProyectoTestCrear", "fecha_inicio": datetime.date.today(), "fecha_fin": datetime.date.today() + datetime.timedelta(5), "scrum_master_id": 2 } response = self.client.post("/api/proyectos/", proyecto_body) self.assertEquals(response.status_code, 403) body = response.json() self.assertEquals(body["permission_required"], ["crear_proyectos", "ver_usuarios"]) self.assertEquals(body["error"], "forbidden") def test_crear_proyecto_sin_permiso_ver_usuarios(self): """ test_crear_proyecto_sin_permiso_crear_proyectos Prueba crear un proyecto sin tener permiso de ver usuarios """ print("\nProbando crear proyecto sin permiso ver usuarios") self.client.login(username="testing", password="polijira2021") Permiso.objects.get(pk=1).delete() proyecto_body = { "nombre": "ProyectoTestCrear", "fecha_inicio": datetime.date.today(), "fecha_fin": datetime.date.today() + datetime.timedelta(5), "scrum_master_id": 2 } response = self.client.post("/api/proyectos/", proyecto_body) self.assertEquals(response.status_code, 403) body = response.json() self.assertEquals(body["permission_required"], ["crear_proyectos", "ver_usuarios"]) self.assertEquals(body["error"], "forbidden") def test_crear_proyecto_con_sm_no_existente(self): """ test_crear_proyecto_con_usuario_no_existente Prueba crear un proyecto con un Scrum Master que no existe """ print("\nProbando crear proyecto con un scrum master que no existe") self.client.login(username="testing", password="polijira2021") proyecto_body = { "nombre": "ProyectoTestCrear", "fecha_inicio": datetime.date.today(), "fecha_fin": datetime.date.today() + datetime.timedelta(5), "scrum_master_id": 55 } response = self.client.post("/api/proyectos/", proyecto_body) self.assertEquals(response.status_code, 404) body = response.json() self.assertEquals(body["error"], "not_found") def test_crear_proyecto_con_nombre_existente(self): """ test_crear_proyecto_con_nombre_existente Prueba crear un proyecto con nombre ya existente """ print("\nProbando crear un proyecto con nombre existente.") self.client.login(username="testing", password="polijira2021") Proyecto.objects.create(nombre="Proyecto A", fecha_inicio=datetime.date.today(), fecha_fin=datetime.date.today() + datetime.timedelta(100), scrum_master_id=1) proyecto_body = { "nombre": "Proyecto A", "fecha_inicio": datetime.date.today(), "fecha_fin": datetime.date.today() + datetime.timedelta(5), "scrum_master_id": 1 } response = self.client.post("/api/proyectos/", proyecto_body, content_type="application/json") self.assertEquals(response.status_code, 422) body = response.json() self.assertEquals(body["message"], "Error de validación") self.assertEquals(body["errors"]["nombre"], ["Ya existe un proyecto con ese nombre"]) def test_crear_proyecto_con_campo_nombre_superando_max_length(self): """ test_crear_proyecto_con_campo_nombre_superando_max_length Prueba crear un proyecto con un nombre que supera el limite máximo de caracteres """ print("\nProbando crear un proyecto con un nombre que supere el max_length=255") self.client.login(username="testing", password="polijira2021") nombre_proyecto = "" for i in range(0, 256): nombre_proyecto += "a" proyecto_body = { "nombre": nombre_proyecto, "fecha_inicio": datetime.date.today(), "fecha_fin": datetime.date.today() + datetime.timedelta(5), "scrum_master_id": 2 } response = self.client.post("/api/proyectos/", proyecto_body) self.assertEquals(response.status_code, 422) body = response.json() self.assertEquals(len(body["errors"]), 1) self.assertEquals(body["errors"]["nombre"], ["Sobrepasó el limite de caracteres"]) def test_crear_proyecto_con_campo_nombre_no_asignado(self): """ test_crear_proyecto_con_campo_nombre_no_asignado Prueba crear un proyecto sin especificar el campo nombre """ print("\nProbando crear un proyecto sin asignar el campo nombre") self.client.login(username="testing", password="polijira2021") proyecto_body = { "fecha_inicio": datetime.date.today(), "fecha_fin": datetime.date.today() + datetime.timedelta(5), "scrum_master_id": 3 } response = self.client.post("/api/proyectos/", proyecto_body) self.assertEquals(response.status_code, 422) body = response.json() self.assertEquals(len(body["errors"]), 1) self.assertEquals(body["errors"]["nombre"], ["No se especificó ningun nombre"]) def test_crear_proyecto_con_campo_fecha_inicio_no_asignado(self): """ test_crear_proyecto_con_campo_fecha_inicio_no_asignado Prueba crear un proyecto sin especificar el campo fecha de inicio """ print("\nProbando crear un proyecto sin especificar el campo fecha de inicio") self.client.login(username="testing", password="polijira2021") proyecto_body = { "nombre": "ProyectoTestCrear", "fecha_fin": datetime.date.today() + datetime.timedelta(5), "scrum_master_id": 3 } response = self.client.post("/api/proyectos/", proyecto_body) self.assertEquals(response.status_code, 422) body = response.json() self.assertEquals(len(body["errors"]), 1) self.assertEquals(body["errors"]["fecha_inicio"], ["No se especificó ninguna fecha de inicio"]) def test_crear_proyecto_con_campo_fecha_fin_no_asignado(self): """ test_crear_proyecto_con_campo_fecha_inicio_no_asignado Prueba crear un proyecto sin especificar el campo fecha de fin """ print("\nProbando crear un proyecto sin especificar el campo fecha de fin") self.client.login(username="testing", password="polijira2021") proyecto_body = { "nombre": "ProyectoTestCrear", "fecha_inicio": datetime.date.today(), "scrum_master_id": 3 } response = self.client.post("/api/proyectos/", proyecto_body) self.assertEquals(response.status_code, 422) body = response.json() self.assertEquals(len(body["errors"]), 1) self.assertEquals(body["errors"]["fecha_fin"], ["No se especificó ninguna fecha de fin"]) def test_crear_proyecto_con_campo_scrum_master_id_sin_especificar(self): """ test_crear_proyecto_con_campo_scrum_master_id_sin_especificar Prueba crear un proyecto sin especificar al Scrum Master """ print("\nProbando crear un proyecto sin especificar al Scrum Master") self.client.login(username="testing", password="polijira2021") proyecto_body = { "nombre": "ProyectoTestCrear", "fecha_inicio": datetime.date.today(), "fecha_fin": datetime.date.today() + datetime.timedelta(5), } response = self.client.post("/api/proyectos/", proyecto_body) self.assertEquals(response.status_code, 422) body = response.json() self.assertEquals(len(body["errors"]), 1) self.assertEquals(body["errors"]["scrum_master_id"], ["No se especificó el Scrum Master"]) def test_modificar_proyecto(self): """ test_modificar_proyecto Prueba modificar un proyecto """ print("\nProbando modificar un proyecto") self.client.login(username="testing", password="polijira2021") proyecto_body = { "nombre": "ProyectoTestModificar", "fecha_inicio": datetime.date.today(), "fecha_fin": datetime.date.today() + datetime.timedelta(5), "scrum_master_id": 1 } response = self.client.put("/api/proyectos/1/", proyecto_body, "application/json") self.assertEquals(response.status_code, 200) proyecto = Proyecto.objects.filter( nombre=proyecto_body["nombre"], fecha_inicio=proyecto_body["fecha_inicio"], fecha_fin=proyecto_body["fecha_fin"], scrum_master=Usuario.objects.get(pk=proyecto_body["scrum_master_id"]) ) self.assertEquals(len(proyecto), 1) proyecto = proyecto[0] miembro = Miembro.objects.filter( usuario=proyecto.scrum_master, proyecto=proyecto, rol=RolProyecto.objects.get(nombre="Scrum Master") ) self.assertEquals(len(miembro), 1) body = response.json() self.assertEquals(proyecto.estado, "P") self.assertEquals(body["nombre"], proyecto.nombre) self.assertEquals(body["fecha_inicio"], str(proyecto.fecha_inicio)) self.assertEquals(body["fecha_fin"], str(proyecto.fecha_fin)) self.assertEquals(body["scrum_master"]["id"], proyecto.scrum_master.id) # TODO self.asserEquals(body["scrum_master"]["rol"]["nombre"], "Scrum Master") def test_modificar_proyecto_con_estado_activo(self): """ test_modificar_proyecto_con_estado_activo Prueba modificar un proyecto en estado Activado """ print("\nProbando modificar un proyecto en estado activado") self.client.login(username="testing", password="polijira2021") proyecto = Proyecto.objects.get(pk=1) proyecto.estado = "A" proyecto.save() proyecto_body = { "nombre": "ProyectoTestModificar", "fecha_inicio": datetime.date.today(), "fecha_fin": datetime.date.today() + datetime.timedelta(5), "scrum_master_id": 1 } response = self.client.put("/api/proyectos/1/", proyecto_body, "application/json") body = response.json() self.assertEquals(response.status_code, 400) self.assertEquals(body["error"], "bad_request") def test_modificar_proyecto_con_estado_finalizado(self): """ test_modificar_proyecto_con_estado_finalizado Prueba modificar un proyecto en estado Finalizado """ print("\nProbando modificar un proyecto en estado Finalizado") self.client.login(username="testing", password="polijira2021") proyecto = Proyecto.objects.get(pk=1) proyecto.estado = "F" proyecto.save() proyecto_body = { "nombre": "ProyectoTestModificar", "fecha_inicio": datetime.date.today(), "fecha_fin": datetime.date.today() + datetime.timedelta(5), "scrum_master_id": 1 } response = self.client.put("/api/proyectos/1/", proyecto_body, "application/json") body = response.json() self.assertEquals(response.status_code, 400) self.assertEquals(body["error"], "bad_request") def test_modificar_proyecto_con_estado_cancelado(self): """ test_modificar_proyecto_con_estado_cancelado Prueba modificar un proyecto en estado Cancelado """ print("\nProbando modificar un proyecto en estado Cancelado") self.client.login(username="testing", password="polijira2021") proyecto = Proyecto.objects.get(pk=1) proyecto.estado = "C" proyecto.save() proyecto_body = { "nombre": "ProyectoTestModificar", "fecha_inicio": datetime.date.today(), "fecha_fin": datetime.date.today() + datetime.timedelta(5), "scrum_master_id": 1 } response = self.client.put("/api/proyectos/1/", proyecto_body, "application/json") body = response.json() self.assertEquals(response.status_code, 400) self.assertEquals(body["error"], "bad_request") def test_modificar_proyecto_sin_permiso_modificar_proyectos(self): """ test_modificar_proyecto_sin_permiso_crear_proyectos Prueba modificar un proyecto sin tener permiso modificar proyectos """ print("\nProbando modificar proyecto sin permiso crear proyectos") self.client.login(username="testing", password="polijira2021") Permiso.objects.get(pk=12).delete() proyecto_body = { "nombre": "ProyectoTestModificar", "fecha_inicio": datetime.date.today(), "fecha_fin": datetime.date.today() + datetime.timedelta(5), "scrum_master_id": 2 } response = self.client.put("/api/proyectos/1/", proyecto_body, "application/json") self.assertEquals(response.status_code, 403) body = response.json() self.assertEquals(body["permission_required"], ["modificar_proyectos", "ver_proyectos", "ver_usuarios"]) self.assertEquals(body["error"], "forbidden") def test_modificar_proyecto_sin_permiso_ver_proyectos(self): """ test_modificar_proyecto_sin_permiso_ver_proyectos Prueba modificar un proyecto sin tener permiso ver proyectos """ print("\nProbando modificar un proyecto sin permiso ver proyectos") self.client.login(username="testing", password="polijira2021") Permiso.objects.get(pk=10).delete() proyecto_body = { "nombre": "ProyectoTestModificar", "fecha_inicio": datetime.date.today(), "fecha_fin": datetime.date.today() + datetime.timedelta(5), "scrum_master_id": 2 } response = self.client.put("/api/proyectos/1/", proyecto_body, "application/json") self.assertEquals(response.status_code, 403) body = response.json() self.assertEquals(body["permission_required"], ["modificar_proyectos", "ver_proyectos", "ver_usuarios"]) self.assertEquals(body["error"], "forbidden") def test_modificar_proyecto_sin_permiso_ver_usuarios(self): """ test_modificar_proyecto_sin_permiso_ver_proyectos Prueba modificar un proyecto sin tener permiso ver usuarios """ print("\nProbando modificar un proyecto sin permiso ver proyectos") self.client.login(username="testing", password="polijira2021") Permiso.objects.get(pk=1).delete() proyecto_body = { "nombre": "ProyectoTestModificar", "fecha_inicio": datetime.date.today(), "fecha_fin": datetime.date.today() + datetime.timedelta(5), "scrum_master_id": 2 } response = self.client.put("/api/proyectos/1/", proyecto_body, "application/json") self.assertEquals(response.status_code, 403) body = response.json() self.assertEquals(body["permission_required"], ["modificar_proyectos", "ver_proyectos", "ver_usuarios"]) self.assertEquals(body["error"], "forbidden") def test_modificar_proyecto_con_nombre_existente(self): """ test_modificar_proyecto_con_nombre_existente Prueba modificar un proyecto con nombre ya existente """ print("\nProbando modificar un proyecto con nombre existente.") self.client.login(username="testing", password="polijira2021") Proyecto.objects.create(nombre="Proyecto A", fecha_inicio=datetime.date.today(), fecha_fin=datetime.date.today() + datetime.timedelta(100), scrum_master_id=1) proyecto_body = { "nombre": "Proyecto A", "fecha_inicio": datetime.date.today(), "fecha_fin": datetime.date.today() + datetime.timedelta(5), "scrum_master_id": 1 } response = self.client.put("/api/proyectos/1/", proyecto_body, content_type="application/json") self.assertEquals(response.status_code, 403) body = response.json() self.assertEquals(body["message"], "Ya existe un proyecto con ese nombre") self.assertEquals(body["error"], "forbidden") def test_modificar_proyecto_no_existente(self): """ test_modificar_proyecto_no_existente Prueba modificar un proyecto que no existe """ print("\nProbando modificar un proyecto que no existe") self.client.login(username="testing", password="polijira2021") proyecto_body = { "nombre": "ProyectoTestModificar", "fecha_inicio": datetime.date.today(), "fecha_fin": datetime.date.today() + datetime.timedelta(5), "scrum_master_id": 2 } response = self.client.put("/api/proyectos/1000/", proyecto_body, "application/json") self.assertEquals(response.status_code, 404) body = response.json() self.assertEquals(body["error"], "not_found") def test_modificar_proyecto_con_sm_no_existente(self): """ test_modificar_proyecto_con_usuario_no_existente Prueba modificar un proyecto con un Scrum Master que no existe """ print("\nProbando modificar proyecto con un scrum master que no existe") self.client.login(username="testing", password="polijira2021") proyecto_body = { "nombre": "ProyectoTestCrear", "fecha_inicio": datetime.date.today(), "fecha_fin": datetime.date.today() + datetime.timedelta(5), "scrum_master_id": 55 } response = self.client.put("/api/proyectos/1/", proyecto_body, "application/json") self.assertEquals(response.status_code, 404) body = response.json() self.assertEquals(body["error"], "not_found") def test_modificar_proyecto_con_campo_nombre_superando_max_length(self): """ test_modificar_proyecto_con_campo_nombre_superando_max_length Prueba modificar un proyecto con un nombre que supera el limite máximo de caracteres """ print("\nProbando modificar un proyecto con un nombre que supere el max_length=255") self.client.login(username="testing", password="polijira2021") nombre_proyecto = "" for i in range(0, 256): nombre_proyecto += "a" proyecto_body = { "nombre": nombre_proyecto, "fecha_inicio": datetime.date.today(), "fecha_fin": datetime.date.today() + datetime.timedelta(5), "scrum_master_id": 2 } response = self.client.put("/api/proyectos/1/", proyecto_body, "application/json") self.assertEquals(response.status_code, 422) body = response.json() self.assertEquals(len(body["errors"]), 1) self.assertEquals(body["errors"]["nombre"], ["Sobrepasó el limite de caracteres"]) def test_modificar_proyecto_con_campo_nombre_no_asignado(self): """ test_modificar_proyecto_con_campo_nombre_no_asignado Prueba modificar un proyecto sin especificar el campo nombre """ print("\nProbando modificar un proyecto sin asignar el campo nombre") self.client.login(username="testing", password="polijira2021") proyecto_body = { "fecha_inicio": datetime.date.today(), "fecha_fin": datetime.date.today() + datetime.timedelta(5), "scrum_master_id": 3 } response = self.client.put("/api/proyectos/1/", proyecto_body, "application/json") self.assertEquals(response.status_code, 422) body = response.json() self.assertEquals(len(body["errors"]), 1) self.assertEquals(body["errors"]["nombre"], ["No se especificó ningun nombre"]) def test_modificar_proyecto_con_campo_fecha_inicio_no_asignado(self): """ test_modificar_proyecto_con_campo_fecha_inicio_no_asignado Prueba modificar un proyecto sin especificar el campo fecha de inicio """ print("\nProbando modificar un proyecto sin especificar el campo fecha de inicio") self.client.login(username="testing", password="polijira2021") proyecto_body = { "nombre": "ProyectoTestCrear", "fecha_fin": datetime.date.today() + datetime.timedelta(5), "scrum_master_id": 3 } response = self.client.put("/api/proyectos/1/", proyecto_body, "application/json") self.assertEquals(response.status_code, 422) body = response.json() self.assertEquals(len(body["errors"]), 1) self.assertEquals(body["errors"]["fecha_inicio"], ["No se especificó ninguna fecha de inicio"]) def test_modificar_proyecto_con_campo_fecha_fin_no_asignado(self): """ test_modificar_proyecto_con_campo_fecha_inicio_no_asignado Prueba modificar un proyecto sin especificar el campo fecha de fin """ print("\nProbando modificar un proyecto sin especificar el campo fecha de fin") self.client.login(username="testing", password="polijira2021") proyecto_body = { "nombre": "ProyectoTestCrear", "fecha_inicio": datetime.date.today(), "scrum_master_id": 3 } response = self.client.put("/api/proyectos/1/", proyecto_body, "application/json") self.assertEquals(response.status_code, 422) body = response.json() self.assertEquals(len(body["errors"]), 1) self.assertEquals(body["errors"]["fecha_fin"], ["No se especificó ninguna fecha de fin"]) def test_modificar_proyecto_con_campo_scrum_master_id_sin_especificar(self): """ test_modificar_proyecto_con_campo_scrum_master_id_sin_especificar Prueba modificar un proyecto sin especificar al Scrum Master """ print("\nProbando modificar un proyecto sin especificar al Scrum Master") self.client.login(username="testing", password="polijira2021") proyecto_body = { "nombre": "ProyectoTestCrear", "fecha_inicio": datetime.date.today(), "fecha_fin": datetime.date.today() + datetime.timedelta(5), } response = self.client.put("/api/proyectos/1/", proyecto_body, "application/json") self.assertEquals(response.status_code, 422) body = response.json() self.assertEquals(len(body["errors"]), 1) self.assertEquals(body["errors"]["scrum_master_id"], ["No se especificó el Scrum Master"]) def test_eliminar_proyecto(self): """ test_eliminar_proyecto Prueba eliminar un proyecto """ print("\nProbando eliminar un proyecto") self.client.login(username="testing", password="polijira2021") response = self.client.delete("/api/proyectos/1/") self.assertEquals(response.status_code, 200) body = response.json() self.assertEquals(body["message"], "Proyecto Eliminado") def test_eliminar_proyecto_sin_permiso_eliminar_proyecto(self): """ test_eliminar_proyecto_sin_permiso_eliminar_proyecto Prueba eliminar un proyecto sin tener permiso eliminar proyecto """ print("\nProbando eliminar proyecto sin permiso eliminar proyecto") self.client.login(username="testing", password="polijira2021") Permiso.objects.get(pk=13).delete() response = self.client.delete("/api/proyectos/1/") self.assertEquals(response.status_code, 403) body = response.json() self.assertEquals(body["permission_required"], ["ver_proyectos", "eliminar_proyectos"]) self.assertEquals(body["error"], "forbidden") def test_eliminar_proyecto_sin_permiso_ver_proyecto(self): """ test_eliminar_proyecto_sin_permiso_ver_proyecto Prueba eliminar un proyecto sin tener permiso ver proyecto """ print("\nProbando eliminar proyecto sin permiso ver proyecto") self.client.login(username="testing", password="polijira2021") Permiso.objects.get(pk=13).delete() response = self.client.delete("/api/proyectos/1/") self.assertEquals(response.status_code, 403) body = response.json() self.assertEquals(body["permission_required"], ["ver_proyectos", "eliminar_proyectos"]) self.assertEquals(body["error"], "forbidden") def test_eliminar_proyecto_no_existente(self): """ test_eliminar_proyecto_no_existente Prueba eliminar un proyecto que no existe """ print("\nProbando eliminar un proyecto que no existe") self.client.login(username="testing", password="polijira2021") response = self.client.delete("/api/proyectos/1000/") self.assertEquals(response.status_code, 404) body = response.json() self.assertEquals(body["error"], "not_found") def test_eliminar_proyecto_con_estado_activo(self): """ test_eliminar_proyecto_con_estado_activo Prueba eliminar un proyecto con estado Activado """ print("\nProbando eliminar un proyecto con estado Activo") self.client.login(username="testing", password="polijira2021") proyecto = Proyecto.objects.get(pk=1) proyecto.estado = "A" proyecto.save() response = self.client.delete("/api/proyectos/1/") self.assertEquals(response.status_code, 400) body = response.json() self.assertEquals(body["error"], "bad_request") def test_eliminar_proyecto_con_estado_cancelado(self): """ test_eliminar_proyecto_con_estado_cancelado Prueba eliminar un proyecto con estado Cancelado """ print("\nProbando eliminar un proyecto en estado Cancelado") self.client.login(username="testing", password="polijira2021") proyecto = Proyecto.objects.get(pk=1) proyecto.estado = "C" proyecto.save() response = self.client.delete("/api/proyectos/1/") self.assertEquals(response.status_code, 400) body = response.json() self.assertEquals(body["error"], "bad_request") def test_eliminar_proyecto_con_estado_finalizado(self): """ test_eliminar_proyecto_con_estado_finalizado Prueba eliminar un proyecto en estado Finalizado """ print("\nProbando eliminar un proyecto en estado Finalizado") self.client.login(username="testing", password="polijira2021") proyecto = Proyecto.objects.get(pk=1) proyecto.estado = "F" proyecto.save() response = self.client.delete("/api/proyectos/1/") self.assertEquals(response.status_code, 400) body = response.json() self.assertEquals(body["error"], "bad_request") def test_crear_proyecto_con_fecha_en_el_pasado(self): """ test_crear_proyecto_con_fecha_en_el_pasado Prueba crear un proyecto con una fecha en el pasado """ print("\nProbando crear proyecto con una fecha que este en el pasado") self.client.login(username="testing", password="polijira2021") proyecto_body = { "nombre": "ProyectoTestCrear", "fecha_inicio": "1996-04-11", "fecha_fin": datetime.date.today() + datetime.timedelta(5), "scrum_master_id": 2 } response = self.client.post("/api/proyectos/", proyecto_body) self.assertEquals(response.status_code, 422) body = response.json() self.assertEquals(body["errors"]["fecha_inicio"], ["La fecha de inicio no puede estar en el pasado"]) def test_crear_proyecto_con_fecha_fin_menor_a_fecha_inicio(self): """ test_crear_proyecto_con_fecha_fin_menor_a_fecha_inicio Prueba crear un proyecto con una fecha de fin menor a la de inicio """ print("\nProbando crear un proyecto con una fecha de fin menor a la de inicio") self.client.login(username="testing", password="polijira2021") proyecto_body = { "nombre": "ProyectoTestCrear", "fecha_inicio": datetime.date.today(), "fecha_fin": datetime.date.today() - datetime.timedelta(5), "scrum_master_id": 2 } response = self.client.post("/api/proyectos/", proyecto_body) self.assertEquals(response.status_code, 422) body = response.json() self.assertEquals(body["errors"]["fecha_fin"], ["La fecha de fin no puede ser menor a la de inicio"]) def test_modificar_proyecto_con_fecha_en_el_pasado(self): """ test_modificar_proyecto_con_fecha_en_el_pasado Prueba modificar un proyecto con una fecha en el pasado """ print("\nProbando modificar proyecto con una fecha que este en el pasado") self.client.login(username="testing", password="polijira2021") proyecto_body = { "nombre": "ProyectoTestCrear", "fecha_inicio": "1996-04-11", "fecha_fin": datetime.date.today() + datetime.timedelta(5), "scrum_master_id": 2 } response = self.client.put("/api/proyectos/1/", proyecto_body, "application/json") self.assertEquals(response.status_code, 422) body = response.json() self.assertEquals(body["errors"]["fecha_inicio"], ["La fecha de inicio no puede estar en el pasado"]) def test_modificar_proyecto_con_fecha_fin_menor_a_fecha_inicio(self): """ test_modificar_proyecto_con_fecha_fin_menor_a_fecha_inicio Prueba modificar un proyecto con una fecha de fin menor a la de inicio """ print("\nProbando modificar un proyecto con una fecha de fin menor a la de inicio") self.client.login(username="testing", password="polijira2021") proyecto_body = { "nombre": "ProyectoTestCrear", "fecha_inicio": datetime.date.today(), "fecha_fin": datetime.date.today() - datetime.timedelta(5), "scrum_master_id": 2 } response = self.client.put("/api/proyectos/1/", proyecto_body, "application/json") self.assertEquals(response.status_code, 422) body = response.json() self.assertEquals(body["errors"]["fecha_fin"], ["La fecha de fin no puede ser menor a la de inicio"]) def test_activar_proyecto(self): """ test_activar_proyecto Prueba activar un proyecto """ print("\nProbando activar un proyecto") self.client.login(username="testing", password="polijira2021") response = self.client.post("/api/proyectos/1/activar/") self.assertEquals(response.status_code, 200) proyecto = Proyecto.objects.get(pk=1) self.assertEquals(proyecto.estado, "A") self.assertEquals(proyecto.fecha_inicio, datetime.date.today()) def test_activar_proyecto_sin_permiso(self): """ test_activar_proyecto_permiso activar un proyecto no teniendo el permiso activar_proyecto """ print("\nProbando activar un proyecto sin ser Scrum Master") self.client.login(username="testing", password="polijira2021") rol = Miembro.objects.get(usuario_id=1, proyecto_id=1).rol rol.eliminar_permiso(PermisoProyecto.objects.get(codigo="activar_proyecto")) response = self.client.post("/api/proyectos/1/activar/") self.assertEquals(response.status_code, 403) body = response.json() self.assertEquals(body["error"], "forbidden") def test_activar_proyecto_no_existente(self): """ test_activar_proyecto_no_existente Prueba activar un proyecto que no existe """ print("\nProbando activar un proyecto que no existe") self.client.login(username="testing", password="polijira2021") response = self.client.post("/api/proyectos/1000/activar/") self.assertEquals(response.status_code, 404) body = response.json() self.assertEquals(body["error"], "not_found") def test_activar_proyecto_cancelado(self): """ test_activar_proyecto_activado Prueba activar un proyecto cancelado """ print("\nProbando activar un proyecto cancelado") self.client.login(username="testing", password="polijira2021") proyecto = Proyecto.objects.get(pk=1) proyecto.estado = "C" proyecto.save() response = self.client.post("/api/proyectos/1/activar/") self.assertEquals(response.status_code, 400) body = response.json() self.assertEquals(body["estado"], "Cancelado") self.assertEquals(body["error"], "bad_request") def test_activar_proyecto_finalizado(self): """ test_activar_proyecto_activado Prueba activar un proyecto finalizado """ print("\nProbando activar un proyecto finalizado") self.client.login(username="testing", password="polijira2021") proyecto = Proyecto.objects.get(pk=1) proyecto.estado = "F" proyecto.save() response = self.client.post("/api/proyectos/1/activar/") self.assertEquals(response.status_code, 400) body = response.json() self.assertEquals(body["estado"], "Finalizado") self.assertEquals(body["error"], "bad_request") def test_obtener_proyecto_sin_ser_miembro_con_permiso_ver_proyectos(self): """ test_obtener_proyecto_sin_ser_miembro_con_permiso_ver_proyectos Prueba obtener un proyecto sin ser miembro, pero teniendo permiso para ver proyectos """ print("\nProbando obtener un proyecto sin ser miembro de ese proyecto y teniendo permiso para ver proyectos") self.client.login(username="testing", password="polijira2021") Miembro.objects.get(pk=1).delete() response = self.client.get("/api/proyectos/1/") self.assertEquals(response.status_code, 200) body = response.json() proyecto = Proyecto.objects.get(pk=1) self.assertEquals(body['nombre'], proyecto.nombre) self.assertEquals(body['fecha_inicio'], str(proyecto.fecha_inicio)) self.assertEquals(body['fecha_fin'], str(proyecto.fecha_fin)) self.assertEquals(body['scrum_master']['id'], proyecto.scrum_master.id) self.assertEquals(body['estado'], proyecto.estado) def test_obtener_proyecto_sin_permiso_ver_proyectos_siendo_miembro(self): """ test_obtener_proyecto_sin_permiso_ver_proyectos_siendo_miembro Prueba obtener un proyecto sin permiso ver proyectos y siendo miembro de ese proyecto """ print("\nProbando obtener un proyecto sin permiso ver proyectos y siendo miembro") self.client.login(username="testing", password="polijira2021") Permiso.objects.get(codigo="ver_proyectos").delete() response = self.client.get("/api/proyectos/1/") self.assertEquals(response.status_code, 200) body = response.json() proyecto = Proyecto.objects.get(pk=1) self.assertEquals(body['nombre'], proyecto.nombre) self.assertEquals(body['fecha_inicio'], str(proyecto.fecha_inicio)) self.assertEquals(body['fecha_fin'], str(proyecto.fecha_fin)) self.assertEquals(body['scrum_master']['id'], proyecto.scrum_master.id) self.assertEquals(body['estado'], proyecto.estado) def test_obtener_proyecto_sin_permiso_ver_proyectos_no_siendo_miembro(self): """ test_obtener_proyecto_sin_permiso_ver_proyectos_no_siendo_miembro Prueba obtener un proyecto sin tener permiso ver proyectos y sin ser miembro del proyecto """ print("\nProbando obtener un proyecto sin ser miembro y tener permiso de ver proyectos") self.client.login(username="testing", password="polijira2021") Miembro.objects.get(pk=1).delete() Permiso.objects.get(codigo="ver_proyectos").delete() response = self.client.get("/api/proyectos/1/") self.assertEquals(response.status_code, 403) def test_obtener_estimaciones_pendientes(self): """ test_obtener_estimaciones_pendientes Prueba obtener las estimaciones pendientes del Proyecto """ print("\nProbando obtener las estimaciones pendientes del Proyecto.") self.client.login(username="testing", password="polijira2021") sprint_backlog = SprintBacklog.objects.get(pk=1) sprint_backlog.estado_estimacion = "p" sprint_backlog.save() usuario = Usuario.objects.get(pk=1) proyecto = Proyecto.objects.get(pk=3) miembro = Miembro.objects.get(usuario=usuario, proyecto=proyecto) us = SprintBacklog.objects.filter(estado_estimacion='p', desarrollador__miembro_proyecto=miembro) response = self.client.get("/api/proyectos/" + str(proyecto.id) + "/estimaciones_pendientes/") body = response.json() self.assertEqual(response.status_code, 200) self.assertEqual(len(body), len(us)) def test_obtener_estimaciones_pendientes_sin_ser_miembro(self): """ test_obtener_estimaciones_pendientes_sin_ser_miembro Prueba obtener las estimaciones pendientes del Proyecto sin ser miembro """ print("\nProbando obtener las estimaciones pendientes del Proyecto sin ser miembro.") self.client.login(username="user_test", password="polijira2021") sprint_backlog = SprintBacklog.objects.get(pk=1) sprint_backlog.estado_estimacion = "p" sprint_backlog.save() proyecto = Proyecto.objects.get(pk=3) response = self.client.get("/api/proyectos/" + str(proyecto.id) + "/estimaciones_pendientes/") body = response.json() self.assertEqual(response.status_code, 403) self.assertEqual(body["message"], "Usted no es miembro de este Proyecto") self.assertEqual(body["error"], "forbidden") def test_obtener_estimaciones_pendientes_proyecto_inexistente(self): """ test_obtener_estimaciones_pendientes_proyecto_inexistente Prueba obtener las estimaciones pendientes de Proyecto inexistente """ print("\nProbando obtener las estimaciones pendientes de Proyecto inexistente.") self.client.login(username="testing", password="polijira2021") sprint_backlog = SprintBacklog.objects.get(pk=1) sprint_backlog.estado_estimacion = "p" sprint_backlog.save() response = self.client.get("/api/proyectos/99/estimaciones_pendientes/") body = response.json() self.assertEqual(response.status_code, 404) self.assertEqual(body["message"], "No existe el Proyecto") self.assertEqual(body["error"], "not_found") def test_finalizar_proyecto(self): """ test_finalizar_proyecto Prueba finalizar un proyecto """ print("\nProbando finalizar un proyecto.") self.client.login(username="testing", password="polijira2021") proyecto = Proyecto.objects.get(pk=1) proyecto.iniciar() user_stories = UserStory.objects.filter(proyecto=proyecto) for user_story in user_stories: user_story.lanzar() sprints = Sprint.objects.filter(proyecto=proyecto) for sprint in sprints: sprint.finalizar() response = self.client.post("/api/proyectos/" + str(proyecto.id) + "/finalizar/") body = response.json() self.assertEqual(response.status_code, 200) self.assertEqual(body["estado"], "F") proyecto = Proyecto.objects.get(pk=1) self.assertEqual(proyecto.estado, "F") def test_finalizar_proyecto_sin_permiso_finalizar_proyecto(self): """ test_finalizar_proyecto_sin_permiso Prueba finalizar un proyecto sin permiso """ print("\nProbando finalizar un proyecto sin permiso.") self.client.login(username="testing", password="polijira2021") PermisoProyecto.objects.get(codigo="finalizar_proyecto").delete() proyecto = Proyecto.objects.get(pk=1) proyecto.iniciar() user_stories = UserStory.objects.filter(proyecto=proyecto) for user_story in user_stories: user_story.lanzar() sprints = Sprint.objects.filter(proyecto=proyecto) for sprint in sprints: sprint.finalizar() response = self.client.post("/api/proyectos/" + str(proyecto.id) + "/finalizar/") body = response.json() self.assertEqual(response.status_code, 403) self.assertEqual(body["message"], "No tiene permiso para realizar esta accion") self.assertEqual(body["error"], "forbidden") def test_finalizar_proyecto_no_iniciado(self): """ test_finalizar_proyecto_no_iniciado Prueba finalizar un proyecto sin iniciar """ print("\nProbando finalizar un proyecto sin iniciar.") self.client.login(username="testing", password="polijira2021") proyecto = Proyecto.objects.get(pk=1) user_stories = UserStory.objects.filter(proyecto=proyecto) for user_story in user_stories: user_story.lanzar() sprints = Sprint.objects.filter(proyecto=proyecto) for sprint in sprints: sprint.finalizar() response = self.client.post("/api/proyectos/" + str(proyecto.id) + "/finalizar/") body = response.json() self.assertEqual(response.status_code, 400) self.assertEqual(body["message"], "No puedes finalizar el Proyecto en su estado actual") self.assertEqual(body["error"], "bad_request") def test_finalizar_proyecto_sin_ser_miembro(self): """ test_finalizar_proyecto_sin_ser_miembro Prueba finalizar un proyecto sin ser miembro """ print("\nProbando finalizar un proyecto sin ser miembro.") self.client.login(username="user_test", password="polijira2021") proyecto = Proyecto.objects.get(pk=1) proyecto.iniciar() user_stories = UserStory.objects.filter(proyecto=proyecto) for user_story in user_stories: user_story.lanzar() sprints = Sprint.objects.filter(proyecto=proyecto) for sprint in sprints: sprint.finalizar() response = self.client.post("/api/proyectos/" + str(proyecto.id) + "/finalizar/") body = response.json() self.assertEqual(response.status_code, 403) self.assertEqual(body["message"], "Usted no es miembro de este Proyecto") self.assertEqual(body["error"], "forbidden") def test_finalizar_proyecto_inexistente(self): """ test_finalizar_proyecto_inexistente Prueba finalizar un proyecto inexistente """ print("\nProbando finalizar un proyecto inexistente.") self.client.login(username="testing", password="polijira2021") response = self.client.post("/api/proyectos/99/finalizar/") body = response.json() self.assertEqual(response.status_code, 404) self.assertEqual(body["message"], "El proyecto no existe") self.assertEqual(body["error"], "not_found") def test_finalizar_proyecto_con_sprints_activos(self): """ test_finalizar_proyecto_con_sprints_activos Prueba finalizar un proyecto con sprints activos """ print("\nProbando finalizar un proyecto con sprints activos.") self.client.login(username="testing", password="polijira2021") proyecto = Proyecto.objects.get(pk=1) proyecto.iniciar() user_stories = UserStory.objects.filter(proyecto=proyecto) for user_story in user_stories: user_story.lanzar() sprints = Sprint.objects.filter(proyecto=proyecto) for sprint in sprints: sprint.estado = "A" sprint.save() response = self.client.post("/api/proyectos/" + str(proyecto.id) + "/finalizar/") body = response.json() self.assertEqual(response.status_code, 400) self.assertEqual( body["message"], "No puedes finalizar el Proyecto hasta que todos los Sprints esten finalizados") self.assertEqual(body["error"], "bad_request") def test_finalizar_proyecto_con_user_stories_pendientes(self): """ test_finalizar_proyecto_con_user_stories_pendientes Prueba finalizar un proyecto con user stories pendientes """ print("\nProbando finalizar un proyecto con user stories pendientes.") self.client.login(username="testing", password="polijira2021") proyecto = Proyecto.objects.get(pk=1) proyecto.iniciar() user_stories = UserStory.objects.filter(proyecto=proyecto) for user_story in user_stories: user_story.estado = "P" user_story.save() sprints = Sprint.objects.filter(proyecto=proyecto) for sprint in sprints: sprint.finalizar() response = self.client.post("/api/proyectos/" + str(proyecto.id) + "/finalizar/") body = response.json() self.assertEqual(response.status_code, 400) self.assertEqual( body["message"], "No puedes finalizar el Proyecto hasta que todos los User Stories esten lanzados o cancelados" ) self.assertEqual(body["error"], "bad_request") def test_cancelar_proyecto(self): """ test_cancelar_proyecto Prueba cancelar un proyecto """ print("\nProbando cancelar un proyecto.") self.client.login(username="testing", password="polijira2021") proyecto = Proyecto.objects.get(pk=1) proyecto.iniciar() response = self.client.post("/api/proyectos/" + str(proyecto.id) + "/cancelar/") sprint_activos = False sprints = Sprint.objects.filter(proyecto=proyecto) for sprint in sprints: if sprint.estado == "A": sprint_activos = True body = response.json() self.assertEqual(response.status_code, 200) self.assertEqual(body["estado"], "C") self.assertEqual(sprint_activos, False) proyecto = Proyecto.objects.get(pk=1) self.assertEqual(proyecto.estado, "C") def test_cancelar_proyecto_sin_ser_miembro(self): """ test_cancelar_proyecto_sin_ser_miembro Prueba cancelar un proyecto sin ser miembro """ print("\nProbando cancelar un proyecto sin ser miembro.") self.client.login(username="user_test", password="polijira2021") proyecto = Proyecto.objects.get(pk=1) proyecto.iniciar() response = self.client.post("/api/proyectos/" + str(proyecto.id) + "/cancelar/") body = response.json() self.assertEqual(response.status_code, 403) self.assertEqual(body["message"], "Usted no es miembro de este Proyecto") self.assertEqual(body["error"], "forbidden") def test_cancelar_proyecto_inexistente(self): """ test_cancelar_proyecto_inexistente Prueba cancelar un proyecto inexistente """ print("\nProbando cancelar un proyecto inexistente.") self.client.login(username="testing", password="polijira2021") response = self.client.post("/api/proyectos/99/cancelar/") body = response.json() self.assertEqual(response.status_code, 404) self.assertEqual(body["message"], "El proyecto no existe") self.assertEqual(body["error"], "not_found") def test_cancelar_proyecto_sin_permiso_cancelar_proyecto(self): """ test_cancelar_proyecto_sin_permiso_cancelar_proyecto Prueba cancelar un proyecto sin permisos """ print("\nProbando cancelar un proyecto sin permisos.") self.client.login(username="testing", password="polijira2021") PermisoProyecto.objects.get(codigo="cancelar_proyecto").delete() proyecto = Proyecto.objects.get(pk=1) proyecto.iniciar() response = self.client.post("/api/proyectos/" + str(proyecto.id) + "/cancelar/") body = response.json() self.assertEqual(response.status_code, 403) self.assertEqual(body["message"], "No tiene permiso para realizar esta acción") self.assertEqual(body["error"], "forbidden") def test_cancelar_proyecto_no_activo(self): """ test_cancelar_proyecto_no_activo Prueba cancelar un proyecto no activo """ print("\nProbando cancelar un proyecto no activo.") self.client.login(username="testing", password="polijira2021") proyecto = Proyecto.objects.get(pk=1) response = self.client.post("/api/proyectos/" + str(proyecto.id) + "/cancelar/") body = response.json() self.assertEqual(response.status_code, 400) self.assertEqual(body["message"], "No puedes cancelar el Proyecto en su estado actual") self.assertEqual(body["error"], "bad_request")

47.544218

117

0.659733

6,220

55,912

5.747749

0.037942

0.064446

0.040838

0.041174

0.941121

0.898129

0.831865

0.782971

0.757014

0.724931

0

0.015284

0.226517

55,912

1,175

118

47.584681

0.811386

0.115682

0

0.721649

0

0.245755

0.024347

0

0.002553

0.216495

1

0.074456

false

0.07331

0.005727

0

0.082474

0.12142

0

null

0

1

0

1

0

null

0

1

0

8

86566fb95b84a16a481c83fb33c46c90d16c018d

8,315

py

Python

py/2015/2A.py

pedrotari7/advent_of_code

98d5bc8d903435624a019a5702f5421d7b4ef8c8

[ "MIT" ]

null

py/2015/2A.py

pedrotari7/advent_of_code

98d5bc8d903435624a019a5702f5421d7b4ef8c8

[ "MIT" ]

null

py/2015/2A.py

pedrotari7/advent_of_code

98d5bc8d903435624a019a5702f5421d7b4ef8c8

[ "MIT" ]

null

presents = """20x3x11 15x27x5 6x29x7 30x15x9 19x29x21 10x4x15 1x26x4 1x5x18 10x15x23 10x14x20 3x5x18 29x23x30 7x4x10 22x24x29 30x1x2 19x2x5 11x9x22 23x15x10 11x11x10 30x28x5 22x5x4 6x26x20 16x12x30 10x20x5 25x14x24 16x17x22 11x28x26 1x11x10 1x24x15 13x17x21 30x3x13 20x25x17 22x12x5 22x20x24 9x2x14 6x18x8 27x28x24 11x17x1 1x4x12 5x20x13 24x23x23 22x1x25 18x19x5 5x23x13 8x16x4 20x21x9 1x7x11 8x30x17 3x30x9 6x16x18 22x25x27 9x20x26 16x21x23 5x24x17 15x17x15 26x15x10 22x16x3 20x24x24 8x18x10 23x19x16 1x21x24 23x23x9 14x20x6 25x5x5 16x3x1 29x29x20 11x4x26 10x23x24 29x25x16 27x27x22 9x7x22 6x21x18 25x11x19 14x13x3 15x28x17 14x3x12 29x8x19 30x14x20 20x23x4 8x16x5 4x11x18 20x8x24 21x13x21 14x26x29 27x4x17 27x4x25 5x28x6 23x24x11 29x22x5 30x20x6 23x2x10 11x4x7 27x23x6 10x20x19 8x20x22 5x29x22 16x13x2 2x11x14 6x12x4 3x13x6 16x5x18 25x3x28 21x1x5 20x16x19 28x30x27 26x7x18 25x27x24 11x19x7 21x19x17 2x12x27 20x5x14 8x5x8 6x24x8 7x28x20 3x20x28 5x20x30 13x29x1 26x29x5 19x28x25 5x19x11 11x20x22 4x23x1 19x25x12 3x10x6 3x14x10 28x16x12 23x12x2 23x12x19 20x28x10 9x10x25 16x21x16 1x18x20 9x4x26 3x25x8 17x16x28 9x28x16 27x3x12 17x24x12 13x21x10 7x17x13 6x10x9 7x29x25 11x19x30 1x24x5 20x16x23 24x28x21 6x29x19 25x2x19 12x5x26 25x29x12 16x28x22 26x26x15 9x13x5 10x29x7 1x24x16 22x2x2 6x16x13 3x12x28 4x12x13 14x27x21 14x23x26 7x5x18 8x30x27 15x9x18 26x16x5 3x29x17 19x7x18 16x18x1 26x15x30 24x30x21 13x20x7 4x12x10 27x20x11 28x29x21 20x14x30 28x12x3 19x1x8 4x8x6 21x14x2 27x19x21 17x24x14 15x18x11 18x7x26 25x28x29 27x26x9 18x12x17 24x28x25 13x24x14 26x9x28 9x3x30 9x2x9 8x1x29 18x30x10 18x14x5 26x8x30 12x1x1 30x5x28 26x17x21 10x10x10 20x7x27 13x17x6 21x13x17 2x16x8 7x9x9 15x26x4 11x28x25 10x6x19 21x6x29 15x5x6 28x9x16 14x3x10 12x29x5 22x19x19 25x15x22 30x6x28 11x23x13 20x25x14 26x1x13 6x14x15 16x25x17 28x4x13 10x24x25 4x13x10 9x15x16 15x24x6 22x9x19 11x11x8 4x19x12 24x5x4 27x12x13 7x27x16 2x6x9 29x27x15 18x26x23 19x16x15 14x5x25 9x16x30 4x6x4 13x10x10 1x8x29 23x5x17 19x20x20 11x27x24 27x15x5 15x11x12 21x11x3 1x13x22 17x8x8 13x14x14 17x22x7 9x5x8 2x6x3 25x9x15 11x8x13 9x25x12 3x16x12 12x16x8 16x24x17 4x6x26 22x29x11 14x17x19 28x2x27 24x22x19 22x20x30 23x28x4 16x12x14 22x24x22 29x1x28 26x29x16 3x25x30 27x3x13 22x24x26 25x3x2 7x24x2 10x5x3 28x8x29 25x6x4 12x17x14 24x3x5 23x27x7 26x23x30 11x10x19 23x7x11 26x14x15 14x3x25 12x24x14 2x14x12 9x12x16 9x2x28 3x8x2 22x6x9 2x30x2 25x1x9 20x11x2 14x11x12 7x14x12 24x8x26 13x21x23 18x17x23 13x6x17 20x20x19 13x17x29 7x24x24 23x8x6 19x10x28 3x8x21 15x20x18 11x27x1 11x24x28 13x20x11 18x19x22 27x22x12 28x3x2 13x4x29 26x5x6 14x29x25 7x4x7 5x17x7 2x8x1 22x30x24 22x21x28 1x28x13 11x20x4 25x29x19 9x23x4 30x6x11 25x18x10 28x10x24 3x5x20 19x28x10 27x19x2 26x20x4 19x21x6 2x12x30 8x26x27 11x27x10 14x13x17 4x3x21 2x20x21 22x30x3 2x23x2 3x16x12 22x28x22 3x23x29 8x25x15 9x30x4 10x11x1 24x8x20 10x7x27 7x22x4 27x13x17 5x28x5 30x15x13 10x8x17 8x21x5 8x17x26 25x16x4 9x7x25 13x11x20 6x30x9 15x14x12 30x1x23 5x20x24 22x7x6 26x11x23 29x7x5 13x24x28 22x20x10 18x3x1 15x19x23 28x28x20 7x26x2 9x12x20 15x4x6 1x17x21 3x22x17 9x4x20 25x19x5 9x11x22 14x1x17 14x5x16 30x5x18 19x6x12 28x16x22 13x4x25 29x23x18 1x27x3 12x14x4 10x25x19 15x19x30 11x30x4 11x22x26 13x25x2 17x13x27 11x30x24 15x1x14 17x18x4 26x11x3 16x22x28 13x20x9 1x18x3 25x11x12 20x21x1 22x27x4 8x28x23 7x13x27 17x9x26 27x27x20 11x20x12 26x21x11 29x14x12 27x25x1 28x29x25 21x23x28 5x18x18 19x5x4 7x6x30 27x8x11 12x24x12 16x25x22 26x11x29 25x22x17 15x23x23 17x9x6 30x10x16 21x3x5 18x27x2 28x21x14 16x18x17 4x18x2 9x1x14 9x1x9 5x27x12 8x16x30 3x19x19 16x26x24 1x6x9 15x14x3 11x7x19 8x19x3 17x26x26 6x18x11 19x12x4 29x20x16 20x17x23 6x6x5 20x30x19 18x25x18 2x26x2 3x1x1 14x25x18 3x1x6 11x14x18 17x23x27 25x29x9 6x25x20 20x10x9 17x5x18 29x14x8 14x25x26 10x15x29 23x19x11 22x2x2 4x5x5 13x23x25 19x13x19 20x18x6 30x7x28 26x18x17 29x18x10 30x29x1 12x26x24 18x17x26 29x28x15 3x12x20 24x10x8 30x15x6 28x23x15 14x28x11 10x27x19 14x8x21 24x1x23 1x3x27 6x15x6 8x25x26 13x10x25 6x9x8 10x29x29 26x23x5 14x24x1 25x6x22 17x11x18 1x27x26 18x25x23 20x15x6 2x21x28 2x10x13 12x25x14 2x14x23 30x5x23 29x19x21 29x10x25 14x22x16 17x11x26 12x17x30 8x17x7 20x25x28 20x11x30 15x1x12 13x3x24 16x23x23 27x3x3 26x3x27 18x5x12 12x26x7 19x27x12 20x10x28 30x12x25 3x14x10 21x26x1 24x26x26 7x21x30 3x29x12 29x28x5 5x20x7 27x11x2 15x20x4 16x15x15 19x13x7 7x17x15 27x24x15 9x17x28 20x21x14 14x29x29 23x26x13 27x23x21 18x13x6 26x16x21 18x26x27 9x3x12 30x18x24 12x11x29 5x15x1 1x16x3 14x28x11 2x18x1 19x18x19 18x28x21 2x3x14 22x16x5 28x18x28 24x16x18 7x4x10 19x26x19 24x17x7 25x9x6 25x17x7 20x22x20 3x3x7 23x19x15 21x27x21 1x23x11 9x19x4 22x4x18 6x15x5 15x25x2 23x11x20 27x16x6 27x8x5 10x10x19 22x14x1 7x1x29 8x11x17 27x9x27 28x9x24 17x7x3 26x23x8 7x6x30 25x28x2 1x30x25 3x18x18 28x27x15 14x14x1 10x25x29 18x12x9 20x28x16 26x27x22 8x26x1 21x2x12 25x16x14 21x19x5 12x9x22 16x5x4 5x4x16 25x29x3 4x29x13 15x16x29 8x11x24 30x11x20 17x21x14 12x24x10 10x12x6 3x26x30 15x14x25 20x12x21 13x11x16 15x13x3 5x17x29 6x3x23 9x26x11 30x1x8 14x10x30 18x30x10 13x19x19 16x19x17 28x7x10 28x29x4 3x21x10 4x28x24 7x28x9 2x4x9 25x27x13 6x12x15 4x18x20 20x1x16 5x13x24 11x11x10 12x9x23 1x9x30 17x28x24 9x5x27 21x15x16 17x4x14 8x14x4 13x10x7 17x12x14 9x19x19 2x7x21 8x24x23 19x5x12 11x23x21 13x3x1 5x27x15 12x25x25 13x21x16 9x17x11 1x15x21 4x26x17 11x5x15 23x10x15 12x17x21 27x15x1 4x29x14 5x24x25 10x10x12 18x12x9 11x24x23 24x23x3 28x12x15 29x9x14 11x25x8 5x12x2 26x26x29 9x21x2 8x8x25 1x16x30 17x29x20 9x22x13 7x18x16 3x3x23 26x25x30 15x23x24 20x23x5 20x16x10 23x7x8 20x18x26 8x27x6 30x23x23 7x7x24 21x11x15 1x30x25 26x27x22 30x28x13 20x13x13 3x1x15 16x7x1 7x25x15 12x7x18 16x9x23 16x12x18 29x5x2 17x7x7 21x17x5 9x9x17 26x16x10 29x29x23 17x26x10 5x19x17 1x10x1 14x21x20 13x6x4 13x13x3 23x4x18 4x16x3 16x30x11 2x11x2 15x30x15 20x30x22 18x12x16 23x5x16 6x14x15 9x4x11 30x23x21 20x7x12 7x18x6 15x6x5 18x22x19 16x10x22 26x20x25 9x25x25 29x21x10 9x21x24 7x18x21 14x3x15 18x19x19 4x29x17 14x10x9 2x26x14 13x3x24 4x4x17 6x27x24 2x18x3 14x25x2 30x14x17 11x6x14 4x10x18 15x4x2 27x7x10 13x24x1 7x12x6 25x22x26 19x2x18 23x29x2 2x15x4 12x6x9 16x14x29 9x17x3 21x9x12 23x18x22 10x8x4 29x2x7 19x27x15 4x24x27 25x20x14 8x23x19 1x24x19 6x20x10 15x8x5 18x28x5 17x23x22 9x16x13 30x24x4 26x3x13 12x22x18 29x17x29 26x4x16 15x7x20 9x15x30 12x7x18 28x19x18 11x23x23 24x20x1 20x3x24 1x26x1 14x10x6 5x27x24 13x21x12 20x20x5 6x28x9 11x26x11 26x29x12 21x4x11 20x11x17 22x27x20 19x11x21 2x11x11 13x5x7 12x10x25 21x28x1 15x30x17 28x19x1 4x19x12 11x4x12 4x10x30 11x18x5 22x20x12 3x7x27 20x26x4 13x27x26 23x14x13 4x19x7 26x27x16 20x5x20 18x5x8 19x21x1 22x8x1 29x4x1 24x10x15 24x9x20 10x3x8 29x30x3 2x8x24 16x7x18 2x11x23 23x15x16 21x12x6 24x28x9 6x1x13 14x29x20 27x24x13 16x26x8 5x6x17 21x8x1 28x19x21 1x14x16 18x2x9 29x28x10 22x26x27 18x26x23 22x24x2 28x26x1 27x29x12 30x13x11 1x25x5 13x30x18 3x13x22 22x10x11 2x7x7 18x17x8 9x22x26 30x18x16 10x2x3 7x27x13 3x20x16 9x21x16 1x18x15 21x30x30 4x25x23 3x11x7 5x6x12 27x1x20 13x15x24 23x29x2 13x5x24 22x16x15 28x14x3 29x24x9 2x20x4 30x10x4 23x7x20 22x12x21 3x19x11 4x28x28 5x4x7 28x12x25 2x16x26 23x20x7 5x21x29 9x21x16 9x6x10 9x6x4 24x14x29 28x11x6 10x22x1 21x30x20 13x17x8 2x25x24 19x21x3 28x8x14 6x29x28 27x10x28 30x11x12 17x2x10 14x19x17 2x11x4 26x1x2 13x4x4 23x20x18 2x17x21 28x7x15 3x3x27 24x17x30 28x28x20 21x5x29 13x12x19 24x29x29 19x10x6 19x12x14 21x4x17 27x16x1 4x17x30 23x23x18 23x15x27 26x2x11 12x8x8 15x23x26 30x17x15 17x17x15 24x4x30 9x9x10 14x25x20 25x11x19 20x7x1 9x21x3 7x19x9 10x6x19 26x12x30 21x9x20 15x11x6 30x21x9 10x18x17 22x9x8 8x30x26 28x12x27 17x17x7 11x13x8 5x3x21 24x1x29 1x28x2 18x28x10 8x29x14 26x26x27 17x10x25 22x30x3 27x9x13 21x21x4 30x29x16 22x7x20 24x10x2 16x29x17 28x15x17 19x19x22 9x8x6 26x23x24 25x4x27 16x12x2 11x6x18 19x14x8 9x29x13 23x30x19 10x16x1 4x21x28 23x25x25 19x9x16 30x11x12 24x3x9 28x19x4 18x12x9 7x1x25 28x7x1 24x3x12 30x24x22 27x24x26 9x30x30 29x10x8 4x6x18 10x1x15 10x4x26 23x20x16 6x3x14 30x8x16 25x14x20 11x9x3 15x23x25 8x30x22 22x19x18 25x1x12 27x25x7 25x23x3 13x20x8 5x30x7 18x19x27 20x23x3 1x17x21 21x21x27 13x1x24 7x30x20 21x9x18 23x26x6 22x9x29 17x6x21 28x28x29 19x25x26 9x27x21 5x26x8 11x19x1 10x1x18 29x4x8 21x2x22 14x12x8""" presents = [sorted([int(d) for d in p.split('x')]) for p in presents.split()] total = sum([p[1]*p[0] + 2*p[1]*p[2] + 2*p[0]*p[1] + 2*p[2]*p[0] for p in presents]) print total

1,187.857143

8,137

0.869513

1,043

8,315

6.931927

0.949185

0.001107

0.00166

0.003873

0

0.704461

0.123873

8,315

7

8,138

1,187.857143

0.287989

0

0.25

0.976551

0

null

0

null

0.25

0

null

0

1

0

1

0

1

0

null

0

1

0

8

865e127f8bf53cfcb9401018ad1d7b1f04698c86

54,836

py

Python

test-runner/adapters/rest/generated/e2erestapi/operations/_module_operations.py

Azure/iot-sdks-e2e-fx

b57f71aa3bda26839ba50e26c9cdefb52ea5b8df

[ "MIT" ]

12

2019-02-02T00:15:13.000Z

2022-02-08T18:20:08.000Z

test-runner/adapters/rest/generated/e2erestapi/operations/_module_operations.py

Azure/iot-sdks-e2e-fx

b57f71aa3bda26839ba50e26c9cdefb52ea5b8df

[ "MIT" ]

36

2019-02-14T22:53:17.000Z

2022-03-22T22:41:38.000Z

test-runner/adapters/rest/generated/e2erestapi/operations/_module_operations.py

Azure/iot-sdks-e2e-fx

b57f71aa3bda26839ba50e26c9cdefb52ea5b8df

[ "MIT" ]

12

2019-02-19T13:28:25.000Z

2022-02-08T18:20:55.000Z

# coding=utf-8 # -------------------------------------------------------------------------- # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is # regenerated. # -------------------------------------------------------------------------- from msrest.pipeline import ClientRawResponse from msrest.exceptions import HttpOperationError from .. import models class ModuleOperations(object): """ModuleOperations operations. You should not instantiate directly this class, but create a Client instance that will create it for you and attach it as attribute. :param client: Client for service requests. :param config: Configuration of service client. :param serializer: An object model serializer. :param deserializer: An object model deserializer. """ models = models def __init__(self, client, config, serializer, deserializer): self._client = client self._serialize = serializer self._deserialize = deserializer self.config = config def connect( self, transport_type, connection_string, ca_certificate=None, custom_headers=None, raw=False, **operation_config): """Connect to the azure IoT Hub as a module. :param transport_type: Transport to use. Possible values include: 'amqp', 'amqpws', 'mqtt', 'mqttws', 'http' :type transport_type: str :param connection_string: connection string :type connection_string: str :param ca_certificate: :type ca_certificate: ~e2erestapi.models.Certificate :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: ConnectResponse or ClientRawResponse if raw=true :rtype: ~e2erestapi.models.ConnectResponse or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.connect.metadata['url'] path_format_arguments = { 'transportType': self._serialize.url("transport_type", transport_type, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['connectionString'] = self._serialize.query("connection_string", connection_string, 'str') # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body if ca_certificate is not None: body_content = self._serialize.body(ca_certificate, 'Certificate') else: body_content = None # Construct and send request request = self._client.put(url, query_parameters, header_parameters, body_content) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('ConnectResponse', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized connect.metadata = {'url': '/module/connect/{transportType}'} def disconnect( self, connection_id, custom_headers=None, raw=False, **operation_config): """Disconnect the module. :param connection_id: Id for the connection :type connection_id: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.disconnect.metadata['url'] path_format_arguments = { 'connectionId': self._serialize.url("connection_id", connection_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.put(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response disconnect.metadata = {'url': '/module/{connectionId}/disconnect'} def connect_from_environment( self, transport_type, custom_headers=None, raw=False, **operation_config): """Connect to the azure IoT Hub as a module using the environment variables. :param transport_type: Transport to use. Possible values include: 'amqp', 'amqpws', 'mqtt', 'mqttws', 'http' :type transport_type: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: ConnectResponse or ClientRawResponse if raw=true :rtype: ~e2erestapi.models.ConnectResponse or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.connect_from_environment.metadata['url'] path_format_arguments = { 'transportType': self._serialize.url("transport_type", transport_type, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.put(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('ConnectResponse', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized connect_from_environment.metadata = {'url': '/module/connectFromEnvironment/{transportType}'} def create_from_connection_string( self, transport_type, connection_string, ca_certificate=None, custom_headers=None, raw=False, **operation_config): """Create a module client from a connection string. :param transport_type: Transport to use. Possible values include: 'amqp', 'amqpws', 'mqtt', 'mqttws', 'http' :type transport_type: str :param connection_string: connection string :type connection_string: str :param ca_certificate: :type ca_certificate: ~e2erestapi.models.Certificate :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: ConnectResponse or ClientRawResponse if raw=true :rtype: ~e2erestapi.models.ConnectResponse or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.create_from_connection_string.metadata['url'] path_format_arguments = { 'transportType': self._serialize.url("transport_type", transport_type, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['connectionString'] = self._serialize.query("connection_string", connection_string, 'str') # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body if ca_certificate is not None: body_content = self._serialize.body(ca_certificate, 'Certificate') else: body_content = None # Construct and send request request = self._client.put(url, query_parameters, header_parameters, body_content) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('ConnectResponse', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized create_from_connection_string.metadata = {'url': '/module/createFromConnectionstring/{transportType}'} def create_from_environment( self, transport_type, custom_headers=None, raw=False, **operation_config): """Create a module client using the EdgeHub environment. :param transport_type: Transport to use. Possible values include: 'amqp', 'amqpws', 'mqtt', 'mqttws', 'http' :type transport_type: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: ConnectResponse or ClientRawResponse if raw=true :rtype: ~e2erestapi.models.ConnectResponse or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.create_from_environment.metadata['url'] path_format_arguments = { 'transportType': self._serialize.url("transport_type", transport_type, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.put(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('ConnectResponse', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized create_from_environment.metadata = {'url': '/module/createFromEnvironment/{transportType}'} def create_from_x509( self, transport_type, x509, custom_headers=None, raw=False, **operation_config): """Create a module client from X509 credentials. :param transport_type: Transport to use. Possible values include: 'amqp', 'amqpws', 'mqtt', 'mqttws', 'http' :type transport_type: str :param x509: :type x509: object :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: ConnectResponse or ClientRawResponse if raw=true :rtype: ~e2erestapi.models.ConnectResponse or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.create_from_x509.metadata['url'] path_format_arguments = { 'transportType': self._serialize.url("transport_type", transport_type, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body body_content = self._serialize.body(x509, 'object') # Construct and send request request = self._client.put(url, query_parameters, header_parameters, body_content) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('ConnectResponse', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized create_from_x509.metadata = {'url': '/module/createFromX509/{transportType}'} def create_from_symmetric_key( self, transport_type, device_id, module_id, hostname, symmetric_key, custom_headers=None, raw=False, **operation_config): """Create a module client from a symmetric key. :param transport_type: Transport to use. Possible values include: 'amqp', 'amqpws', 'mqtt', 'mqttws', 'http' :type transport_type: str :param device_id: :type device_id: str :param module_id: :type module_id: str :param hostname: name of the host to connect to :type hostname: str :param symmetric_key: key to use for connection :type symmetric_key: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: ConnectResponse or ClientRawResponse if raw=true :rtype: ~e2erestapi.models.ConnectResponse or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.create_from_symmetric_key.metadata['url'] path_format_arguments = { 'transportType': self._serialize.url("transport_type", transport_type, 'str'), 'deviceId': self._serialize.url("device_id", device_id, 'str'), 'moduleId': self._serialize.url("module_id", module_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['hostname'] = self._serialize.query("hostname", hostname, 'str') query_parameters['symmetricKey'] = self._serialize.query("symmetric_key", symmetric_key, 'str') # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.put(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('ConnectResponse', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized create_from_symmetric_key.metadata = {'url': '/module/createFromSymmetricKey/{deviceId}/{moduleId}/{transportType}'} def connect2( self, connection_id, custom_headers=None, raw=False, **operation_config): """Connect the module. :param connection_id: Id for the connection :type connection_id: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.connect2.metadata['url'] path_format_arguments = { 'connectionId': self._serialize.url("connection_id", connection_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.put(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response connect2.metadata = {'url': '/module/{connectionId}/connect2'} def reconnect( self, connection_id, force_renew_password=None, custom_headers=None, raw=False, **operation_config): """Reconnect the module. :param connection_id: Id for the connection :type connection_id: str :param force_renew_password: True to force SAS renewal :type force_renew_password: bool :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.reconnect.metadata['url'] path_format_arguments = { 'connectionId': self._serialize.url("connection_id", connection_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} if force_renew_password is not None: query_parameters['forceRenewPassword'] = self._serialize.query("force_renew_password", force_renew_password, 'bool') # Construct headers header_parameters = {} if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.put(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response reconnect.metadata = {'url': '/module/{connectionId}/reconnect'} def disconnect2( self, connection_id, custom_headers=None, raw=False, **operation_config): """Disonnect the module. :param connection_id: Id for the connection :type connection_id: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.disconnect2.metadata['url'] path_format_arguments = { 'connectionId': self._serialize.url("connection_id", connection_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.put(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response disconnect2.metadata = {'url': '/module/{connectionId}/disconnect2'} def destroy( self, connection_id, custom_headers=None, raw=False, **operation_config): """Disonnect and destroy the module client. :param connection_id: Id for the connection :type connection_id: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.destroy.metadata['url'] path_format_arguments = { 'connectionId': self._serialize.url("connection_id", connection_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.put(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response destroy.metadata = {'url': '/module/{connectionId}/destroy'} def enable_twin( self, connection_id, custom_headers=None, raw=False, **operation_config): """Enable module twins. :param connection_id: Id for the connection :type connection_id: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.enable_twin.metadata['url'] path_format_arguments = { 'connectionId': self._serialize.url("connection_id", connection_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.put(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response enable_twin.metadata = {'url': '/module/{connectionId}/enableTwin'} def enable_methods( self, connection_id, custom_headers=None, raw=False, **operation_config): """Enable methods. :param connection_id: Id for the connection :type connection_id: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.enable_methods.metadata['url'] path_format_arguments = { 'connectionId': self._serialize.url("connection_id", connection_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.put(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response enable_methods.metadata = {'url': '/module/{connectionId}/enableMethods'} def enable_input_messages( self, connection_id, custom_headers=None, raw=False, **operation_config): """Enable input messages. :param connection_id: Id for the connection :type connection_id: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.enable_input_messages.metadata['url'] path_format_arguments = { 'connectionId': self._serialize.url("connection_id", connection_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.put(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response enable_input_messages.metadata = {'url': '/module/{connectionId}/enableInputMessages'} def get_twin( self, connection_id, custom_headers=None, raw=False, **operation_config): """Get the device twin. :param connection_id: Id for the connection :type connection_id: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: Twin or ClientRawResponse if raw=true :rtype: ~e2erestapi.models.Twin or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.get_twin.metadata['url'] path_format_arguments = { 'connectionId': self._serialize.url("connection_id", connection_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.get(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('Twin', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized get_twin.metadata = {'url': '/module/{connectionId}/twin'} def patch_twin( self, connection_id, twin, custom_headers=None, raw=False, **operation_config): """Updates the device twin. :param connection_id: Id for the connection :type connection_id: str :param twin: :type twin: ~e2erestapi.models.Twin :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.patch_twin.metadata['url'] path_format_arguments = { 'connectionId': self._serialize.url("connection_id", connection_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body body_content = self._serialize.body(twin, 'Twin') # Construct and send request request = self._client.patch(url, query_parameters, header_parameters, body_content) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response patch_twin.metadata = {'url': '/module/{connectionId}/twin'} def wait_for_desired_properties_patch( self, connection_id, custom_headers=None, raw=False, **operation_config): """Wait for the next desired property patch. :param connection_id: Id for the connection :type connection_id: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: Twin or ClientRawResponse if raw=true :rtype: ~e2erestapi.models.Twin or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.wait_for_desired_properties_patch.metadata['url'] path_format_arguments = { 'connectionId': self._serialize.url("connection_id", connection_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.get(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('Twin', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized wait_for_desired_properties_patch.metadata = {'url': '/module/{connectionId}/twinDesiredPropPatch'} def send_event( self, connection_id, event_body, custom_headers=None, raw=False, **operation_config): """Send an event. :param connection_id: Id for the connection :type connection_id: str :param event_body: :type event_body: ~e2erestapi.models.EventBody :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.send_event.metadata['url'] path_format_arguments = { 'connectionId': self._serialize.url("connection_id", connection_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body body_content = self._serialize.body(event_body, 'EventBody') # Construct and send request request = self._client.put(url, query_parameters, header_parameters, body_content) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response send_event.metadata = {'url': '/module/{connectionId}/event'} def send_output_event( self, connection_id, output_name, event_body, custom_headers=None, raw=False, **operation_config): """Send an event to a module output. :param connection_id: Id for the connection :type connection_id: str :param output_name: :type output_name: str :param event_body: :type event_body: ~e2erestapi.models.EventBody :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.send_output_event.metadata['url'] path_format_arguments = { 'connectionId': self._serialize.url("connection_id", connection_id, 'str'), 'outputName': self._serialize.url("output_name", output_name, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body body_content = self._serialize.body(event_body, 'EventBody') # Construct and send request request = self._client.put(url, query_parameters, header_parameters, body_content) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response send_output_event.metadata = {'url': '/module/{connectionId}/outputEvent/{outputName}'} def wait_for_input_message( self, connection_id, input_name, custom_headers=None, raw=False, **operation_config): """Wait for a message on a module input. :param connection_id: Id for the connection :type connection_id: str :param input_name: :type input_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: EventBody or ClientRawResponse if raw=true :rtype: ~e2erestapi.models.EventBody or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.wait_for_input_message.metadata['url'] path_format_arguments = { 'connectionId': self._serialize.url("connection_id", connection_id, 'str'), 'inputName': self._serialize.url("input_name", input_name, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.get(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('EventBody', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized wait_for_input_message.metadata = {'url': '/module/{connectionId}/inputMessage/{inputName}'} def wait_for_method_and_return_response( self, connection_id, method_name, request_and_response, custom_headers=None, raw=False, **operation_config): """Wait for a method call, verify the request, and return the response. This is a workaround to deal with SDKs that only have method call operations that are sync. This function responds to the method with the payload of this function, and then returns the method parameters. Real-world implemenatations would never do this, but this is the only same way to write our test code right now (because the method handlers for C, Java, and probably Python all return the method response instead of supporting an async method call). :param connection_id: Id for the connection :type connection_id: str :param method_name: name of the method to handle :type method_name: str :param request_and_response: :type request_and_response: ~e2erestapi.models.MethodRequestAndResponse :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.wait_for_method_and_return_response.metadata['url'] path_format_arguments = { 'connectionId': self._serialize.url("connection_id", connection_id, 'str'), 'methodName': self._serialize.url("method_name", method_name, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body body_content = self._serialize.body(request_and_response, 'MethodRequestAndResponse') # Construct and send request request = self._client.put(url, query_parameters, header_parameters, body_content) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response wait_for_method_and_return_response.metadata = {'url': '/module/{connectionId}/waitForMethodAndReturnResponse/{methodName}'} def invoke_module_method( self, connection_id, device_id, module_id, method_invoke_parameters, custom_headers=None, raw=False, **operation_config): """call the given method on the given module. :param connection_id: Id for the connection :type connection_id: str :param device_id: :type device_id: str :param module_id: :type module_id: str :param method_invoke_parameters: :type method_invoke_parameters: ~e2erestapi.models.MethodInvoke :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: object or ClientRawResponse if raw=true :rtype: object or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.invoke_module_method.metadata['url'] path_format_arguments = { 'connectionId': self._serialize.url("connection_id", connection_id, 'str'), 'deviceId': self._serialize.url("device_id", device_id, 'str'), 'moduleId': self._serialize.url("module_id", module_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body body_content = self._serialize.body(method_invoke_parameters, 'MethodInvoke') # Construct and send request request = self._client.put(url, query_parameters, header_parameters, body_content) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('object', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized invoke_module_method.metadata = {'url': '/module/{connectionId}/moduleMethod/{deviceId}/{moduleId}'} def invoke_device_method( self, connection_id, device_id, method_invoke_parameters, custom_headers=None, raw=False, **operation_config): """call the given method on the given device. :param connection_id: Id for the connection :type connection_id: str :param device_id: :type device_id: str :param method_invoke_parameters: :type method_invoke_parameters: ~e2erestapi.models.MethodInvoke :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: object or ClientRawResponse if raw=true :rtype: object or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.invoke_device_method.metadata['url'] path_format_arguments = { 'connectionId': self._serialize.url("connection_id", connection_id, 'str'), 'deviceId': self._serialize.url("device_id", device_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body body_content = self._serialize.body(method_invoke_parameters, 'MethodInvoke') # Construct and send request request = self._client.put(url, query_parameters, header_parameters, body_content) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('object', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized invoke_device_method.metadata = {'url': '/module/{connectionId}/deviceMethod/{deviceId}'} def get_connection_status( self, connection_id, custom_headers=None, raw=False, **operation_config): """get the current connection status. :param connection_id: Id for the connection :type connection_id: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: str or ClientRawResponse if raw=true :rtype: str or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.get_connection_status.metadata['url'] path_format_arguments = { 'connectionId': self._serialize.url("connection_id", connection_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.get(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('str', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized get_connection_status.metadata = {'url': '/module/{connectionId}/connectionStatus'} def wait_for_connection_status_change( self, connection_id, connection_status, custom_headers=None, raw=False, **operation_config): """wait for the current connection status to change and return the changed status. :param connection_id: Id for the connection :type connection_id: str :param connection_status: Desired connection status. Possible values include: 'connected', 'disconnected' :type connection_status: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: str or ClientRawResponse if raw=true :rtype: str or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.wait_for_connection_status_change.metadata['url'] path_format_arguments = { 'connectionId': self._serialize.url("connection_id", connection_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['connectionStatus'] = self._serialize.query("connection_status", connection_status, 'str') # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.get(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('str', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized wait_for_connection_status_change.metadata = {'url': '/module/{connectionId}/connectionStatusChange'}

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py

Python

tests/test_oauth2_resource_owner_password.py

bottoy/requests_auth

f95ecd833d52341ebe0e2c974d133577ae124dd9

[ "MIT" ]

null

tests/test_oauth2_resource_owner_password.py

bottoy/requests_auth

f95ecd833d52341ebe0e2c974d133577ae124dd9

[ "MIT" ]

null

tests/test_oauth2_resource_owner_password.py

bottoy/requests_auth

f95ecd833d52341ebe0e2c974d133577ae124dd9

[ "MIT" ]

null

from responses import RequestsMock import pytest import requests import requests_auth from tests.oauth2_helper import token_cache from tests.auth_helper import get_header, get_request def test_oauth2_password_credentials_flow_token_is_sent_in_authorization_header_by_default( token_cache, responses: RequestsMock ): auth = requests_auth.OAuth2ResourceOwnerPasswordCredentials( "http://provide_access_token", username="test_user", password="test_pwd" ) responses.add( responses.POST, "http://provide_access_token", json={ "access_token": "2YotnFZFEjr1zCsicMWpAA", "token_type": "example", "expires_in": 3600, "refresh_token": "tGzv3JOkF0XG5Qx2TlKWIA", "example_parameter": "example_value", }, ) assert ( get_header(responses, auth).get("Authorization") == "Bearer 2YotnFZFEjr1zCsicMWpAA" ) assert ( get_request(responses, "http://provide_access_token/").body == "grant_type=password&username=test_user&password=test_pwd" ) def test_scope_is_sent_as_is_when_provided_as_str(token_cache, responses: RequestsMock): auth = requests_auth.OAuth2ResourceOwnerPasswordCredentials( "http://provide_access_token", username="test_user", password="test_pwd", scope="my_scope+my_other_scope", ) responses.add( responses.POST, "http://provide_access_token", json={ "access_token": "2YotnFZFEjr1zCsicMWpAA", "token_type": "example", "expires_in": 3600, "refresh_token": "tGzv3JOkF0XG5Qx2TlKWIA", "example_parameter": "example_value", }, ) assert ( get_header(responses, auth).get("Authorization") == "Bearer 2YotnFZFEjr1zCsicMWpAA" ) assert ( get_request(responses, "http://provide_access_token/").body == "grant_type=password&username=test_user&password=test_pwd&scope=my_scope%2Bmy_other_scope" ) def test_scope_is_sent_as_str_when_provided_as_list( token_cache, responses: RequestsMock ): auth = requests_auth.OAuth2ResourceOwnerPasswordCredentials( "http://provide_access_token", username="test_user", password="test_pwd", scope=["my_scope", "my_other_scope"], ) responses.add( responses.POST, "http://provide_access_token", json={ "access_token": "2YotnFZFEjr1zCsicMWpAA", "token_type": "example", "expires_in": 3600, "refresh_token": "tGzv3JOkF0XG5Qx2TlKWIA", "example_parameter": "example_value", }, ) assert ( get_header(responses, auth).get("Authorization") == "Bearer 2YotnFZFEjr1zCsicMWpAA" ) assert ( get_request(responses, "http://provide_access_token/").body == "grant_type=password&username=test_user&password=test_pwd&scope=my_scope+my_other_scope" ) def test_with_invalid_grant_request_no_json(token_cache, responses: RequestsMock): auth = requests_auth.OAuth2ResourceOwnerPasswordCredentials( "http://provide_access_token", username="test_user", password="test_pwd" ) responses.add( responses.POST, "http://provide_access_token", body="failure", status=400 ) with pytest.raises(requests_auth.InvalidGrantRequest) as exception_info: requests.get("http://authorized_only", auth=auth) assert str(exception_info.value) == "failure" def test_with_invalid_grant_request_invalid_request_error( token_cache, responses: RequestsMock ): auth = requests_auth.OAuth2ResourceOwnerPasswordCredentials( "http://provide_access_token", username="test_user", password="test_pwd" ) responses.add( responses.POST, "http://provide_access_token", json={"error": "invalid_request"}, status=400, ) with pytest.raises(requests_auth.InvalidGrantRequest) as exception_info: requests.get("http://authorized_only", auth=auth) assert ( str(exception_info.value) == "invalid_request: The request is missing a required parameter, includes an " "unsupported parameter value (other than grant type), repeats a parameter, " "includes multiple credentials, utilizes more than one mechanism for " "authenticating the client, or is otherwise malformed." ) def test_with_invalid_grant_request_invalid_request_error_and_error_description( token_cache, responses: RequestsMock ): auth = requests_auth.OAuth2ResourceOwnerPasswordCredentials( "http://provide_access_token", username="test_user", password="test_pwd" ) responses.add( responses.POST, "http://provide_access_token", json={"error": "invalid_request", "error_description": "desc of the error"}, status=400, ) with pytest.raises(requests_auth.InvalidGrantRequest) as exception_info: requests.get("http://authorized_only", auth=auth) assert str(exception_info.value) == "invalid_request: desc of the error" def test_with_invalid_grant_request_invalid_request_error_and_error_description_and_uri( token_cache, responses: RequestsMock ): auth = requests_auth.OAuth2ResourceOwnerPasswordCredentials( "http://provide_access_token", username="test_user", password="test_pwd" ) responses.add( responses.POST, "http://provide_access_token", json={ "error": "invalid_request", "error_description": "desc of the error", "error_uri": "http://test_url", }, status=400, ) with pytest.raises(requests_auth.InvalidGrantRequest) as exception_info: requests.get("http://authorized_only", auth=auth) assert ( str(exception_info.value) == f"invalid_request: desc of the error\nMore information can be found on http://test_url" ) def test_with_invalid_grant_request_invalid_request_error_and_error_description_and_uri_and_other_fields( token_cache, responses: RequestsMock ): auth = requests_auth.OAuth2ResourceOwnerPasswordCredentials( "http://provide_access_token", username="test_user", password="test_pwd" ) responses.add( responses.POST, "http://provide_access_token", json={ "error": "invalid_request", "error_description": "desc of the error", "error_uri": "http://test_url", "other": "other info", }, status=400, ) with pytest.raises(requests_auth.InvalidGrantRequest) as exception_info: requests.get("http://authorized_only", auth=auth) assert ( str(exception_info.value) == f"invalid_request: desc of the error\nMore information can be found on http://test_url\nAdditional information: {{'other': 'other info'}}" ) def test_with_invalid_grant_request_without_error(token_cache, responses: RequestsMock): auth = requests_auth.OAuth2ResourceOwnerPasswordCredentials( "http://provide_access_token", username="test_user", password="test_pwd" ) responses.add( responses.POST, "http://provide_access_token", json={"other": "other info"}, status=400, ) with pytest.raises(requests_auth.InvalidGrantRequest) as exception_info: requests.get("http://authorized_only", auth=auth) assert str(exception_info.value) == "{'other': 'other info'}" def test_with_invalid_grant_request_invalid_client_error( token_cache, responses: RequestsMock ): auth = requests_auth.OAuth2ResourceOwnerPasswordCredentials( "http://provide_access_token", username="test_user", password="test_pwd" ) responses.add( responses.POST, "http://provide_access_token", json={"error": "invalid_client"}, status=400, ) with pytest.raises(requests_auth.InvalidGrantRequest) as exception_info: requests.get("http://authorized_only", auth=auth) assert ( str(exception_info.value) == "invalid_client: Client authentication failed (e.g., unknown client, no " "client authentication included, or unsupported authentication method). The " "authorization server MAY return an HTTP 401 (Unauthorized) status code to " "indicate which HTTP authentication schemes are supported. If the client " 'attempted to authenticate via the "Authorization" request header field, the ' "authorization server MUST respond with an HTTP 401 (Unauthorized) status " 'code and include the "WWW-Authenticate" response header field matching the ' "authentication scheme used by the client." ) def test_with_invalid_grant_request_invalid_grant_error( token_cache, responses: RequestsMock ): auth = requests_auth.OAuth2ResourceOwnerPasswordCredentials( "http://provide_access_token", username="test_user", password="test_pwd" ) responses.add( responses.POST, "http://provide_access_token", json={"error": "invalid_grant"}, status=400, ) with pytest.raises(requests_auth.InvalidGrantRequest) as exception_info: requests.get("http://authorized_only", auth=auth) assert ( str(exception_info.value) == "invalid_grant: The provided authorization grant (e.g., authorization code, " "resource owner credentials) or refresh token is invalid, expired, revoked, " "does not match the redirection URI used in the authorization request, or was " "issued to another client." ) def test_with_invalid_grant_request_unauthorized_client_error( token_cache, responses: RequestsMock ): auth = requests_auth.OAuth2ResourceOwnerPasswordCredentials( "http://provide_access_token", username="test_user", password="test_pwd" ) responses.add( responses.POST, "http://provide_access_token", json={"error": "unauthorized_client"}, status=400, ) with pytest.raises(requests_auth.InvalidGrantRequest) as exception_info: requests.get("http://authorized_only", auth=auth) assert ( str(exception_info.value) == "unauthorized_client: The authenticated client is not authorized to use this " "authorization grant type." ) def test_with_invalid_grant_request_unsupported_grant_type_error( token_cache, responses: RequestsMock ): auth = requests_auth.OAuth2ResourceOwnerPasswordCredentials( "http://provide_access_token", username="test_user", password="test_pwd" ) responses.add( responses.POST, "http://provide_access_token", json={"error": "unsupported_grant_type"}, status=400, ) with pytest.raises(requests_auth.InvalidGrantRequest) as exception_info: requests.get("http://authorized_only", auth=auth) assert ( str(exception_info.value) == "unsupported_grant_type: The authorization grant type is not supported by the " "authorization server." ) def test_with_invalid_grant_request_invalid_scope_error( token_cache, responses: RequestsMock ): auth = requests_auth.OAuth2ResourceOwnerPasswordCredentials( "http://provide_access_token", username="test_user", password="test_pwd" ) responses.add( responses.POST, "http://provide_access_token", json={"error": "invalid_scope"}, status=400, ) with pytest.raises(requests_auth.InvalidGrantRequest) as exception_info: requests.get("http://authorized_only", auth=auth) assert ( str(exception_info.value) == "invalid_scope: The requested scope is invalid, unknown, malformed, or " "exceeds the scope granted by the resource owner." ) def test_without_expected_token(token_cache, responses: RequestsMock): auth = requests_auth.OAuth2ResourceOwnerPasswordCredentials( "http://provide_access_token", username="test_user", password="test_pwd", token_field_name="not_provided", ) responses.add( responses.POST, "http://provide_access_token", json={ "access_token": "2YotnFZFEjr1zCsicMWpAA", "token_type": "example", "expires_in": 3600, "refresh_token": "tGzv3JOkF0XG5Qx2TlKWIA", "example_parameter": "example_value", }, ) with pytest.raises(requests_auth.GrantNotProvided) as exception_info: requests.get("http://authorized_only", auth=auth) assert ( str(exception_info.value) == "not_provided not provided within {'access_token': '2YotnFZFEjr1zCsicMWpAA', 'token_type': 'example', 'expires_in': 3600, 'refresh_token': 'tGzv3JOkF0XG5Qx2TlKWIA', 'example_parameter': 'example_value'}." ) def test_token_url_is_mandatory(): with pytest.raises(Exception) as exception_info: requests_auth.OAuth2ResourceOwnerPasswordCredentials( "", "test_user", "test_pwd" ) assert str(exception_info.value) == "Token URL is mandatory." def test_user_name_is_mandatory(): with pytest.raises(Exception) as exception_info: requests_auth.OAuth2ResourceOwnerPasswordCredentials( "http://test_url", "", "test_pwd" ) assert str(exception_info.value) == "User name is mandatory." def test_password_is_mandatory(): with pytest.raises(Exception) as exception_info: requests_auth.OAuth2ResourceOwnerPasswordCredentials( "http://test_url", "test_user", "" ) assert str(exception_info.value) == "Password is mandatory." def test_header_value_must_contains_token(): with pytest.raises(Exception) as exception_info: requests_auth.OAuth2ResourceOwnerPasswordCredentials( "http://test_url", "test_user", "test_pwd", header_value="Bearer token" ) assert str(exception_info.value) == "header_value parameter must contains {token}."

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py

Python

utils/common_sql.py

gtouchgogo/qtalk_search

9cc34572c187033fb860c1b1988ca3d24c95738b

[ "MIT" ]

1

2021-01-08T07:47:39.000Z

utils/common_sql.py

startalkIM/search

7737b4e83cd02e63a78e2e93d2b960f70d33539f

[ "MIT" ]

2

2019-12-04T07:59:36.000Z

2021-09-15T09:19:19.000Z

utils/common_sql.py

startalkIM/search

7737b4e83cd02e63a78e2e93d2b960f70d33539f

[ "MIT" ]

6

2019-11-21T14:10:58.000Z

2021-02-15T17:30:04.000Z

#!/usr/bin/env python # -*- coding:utf-8 -*- __author__ = 'jingyu.he' import psycopg2 from psycopg2 import sql import re import sys import time import json import asyncpg from collections import defaultdict from functools import reduce from utils.get_conf import get_config_file, get_logger_file from utils.logger_conf import configure_logger # import conf.constants # from conf import constants from conf.cache_params_define import SINGLE_KEY, MUC_KEY, SINGLE_TRACE_KEY, MUC_TRACE_KEY, SINGLE_CACHE, MUC_CACHE from conf.search_params_define import REGEX_TAG from utils.redis_utils import redis_cli from utils.pinyin_util import PinyinUtil from utils.common_utils import TextHandler from utils.regex_utils import chinese_pattern from utils.redis_utils import RedisUtil from utils.time_utils import TimeUtils from utils.similar_util import get_similar_bool time_utils = TimeUtils() config = get_config_file() pgconfig = config['postgresql'] host = pgconfig['host'] port = pgconfig['port'] user = pgconfig['user'] database = pgconfig['database'] password = pgconfig['password'] if_cached = config['cache'].getboolean('if_cache') log_path = get_logger_file('sql.log') sql_logger = configure_logger('sql', log_path) if_async = None user_data = [] # user_data = defaultdict(dict) # all_user_data = {} PY_VERSION = re.findall('^([\d\.].*?)\s', sys.version)[0] DB_VERSION = None # DB_VERSION = None # PY_VERSION = PYTHON_VERSION pinyin = PinyinUtil() text_handler = TextHandler() merge_list_of_dict = text_handler.merge_list_of_dict formulate_text = text_handler.formulate_text formulate_text_to_uid = text_handler.formulate_text_to_uid symbol_to_english = text_handler.symbol_to_english class UserLib: def __init__(self, user_id=None): # global all_user_data global domain self.conn = psycopg2.connect(host=host, database=database, user=user, password=password, port=port) self.conn.autocommit = True __domain = None self.user_data = {} if user_id and '@' in user_id: __domain = user_id.split('@')[1] # user_data = all_user_data.get(__domain, {}) # 制作redis里所有用户的缓存 if not self.user_data and self.user_data is not None: cache_redis_cli = RedisUtil() self.user_data = cache_redis_cli.get_all_user_data(domain=__domain) if not self.user_data: sql_logger.info("no user data in redis, making one into it..") self.user_data = self.get_user_data(domain=__domain) if self.user_data: cache_redis_cli.set_all_user_data(data=self.user_data, domain=__domain) sql_logger.info("redis user data set..") else: sql_logger.error("NO USER FOUND IN POSTGRESQL!!") self.user_data = None if self.user_data is None: sql_logger.error("POSTGRESQL STILL NOT SET, IF SET, PLEASE RESTART SERVICE") raise ConnectionError("POSTGRESQL IS NOT CONNECTED BECAUSE NO USER FOUND") else: if isinstance(domain, str): __domain = domain elif isinstance(domain, list): __domain = None else: raise ValueError("GET FIND DOMAIN FOR USER {}".format(user_id)) self.domain = __domain def get_msg_id(self, msgid, msgtype): res = None conn = self.conn msg_table = 'msg_history' if msgtype == 'message' else 'muc_room_history' sql = """SELECT id FROM {} where msg_id = %(msgid)s limit 1;""".format(msg_table) cursor = conn.cursor() cursor.execute(sql, {'msgid': msgid}) rs = cursor.fetchall() if len(rs): res = rs[0][0] else: for i in range(0, 4): time.sleep(0.5) sql_logger.info('waiting .. {}'.format(i)) cursor.execute(sql, {'msgid': msgid}) rs = cursor.fetchall() if not len(rs): if i == 3: res = None break continue res = rs[0][0] if res: break cursor.close() return res def get_msg_by_msg_ids(self, msgids, msgtype): res = None s_result = [] conn = self.conn if msgtype in ['chat', 'consult']: sql = """select m_body, id, msg_id from msg_history where msg_id = ANY(%(msgids)s) order by id asc""" else: sql = """select packet, id, msg_id from muc_room_history where msg_id = ANY(%(msgids)s) order by id asc""" cursor = conn.cursor() cursor.execute(sql, {'msgids': msgids}) rs = cursor.fetchall() for row in rs: row = ['' if x is None else x for x in row] res = dict() res['body'] = row[0] res['id'] = row[1] res['msg_id'] = row[2] s_result.append(res) cursor.close() return s_result def get_domain(self): res = [] conn = self.conn sql = """select host from host_info""" cursor = conn.cursor() cursor.execute(sql) rs = cursor.fetchall() for row in rs: if len(row) == 1: res.append(row[0]) cursor.close() return res def get_user_data(self, domain=''): s_result = defaultdict(dict) conn = self.conn sql = """select b.username || '@' || b.host as user_id, user_name, pinyin, b.url,a.department,b.mood from host_users a left join vcard_version b on a.user_id = b.username where a.hire_flag = 1 and a.host_id = ANY(select id from host_info where host = %(domain)s )""" cursor = conn.cursor() cursor.execute(sql, {'domain': domain}) rs = cursor.fetchall() for row in rs: row = ['' if x is None else x for x in row] res = dict() res['i'] = row[0] res['n'] = row[1] res['p'] = row[2] res['u'] = row[3] res['d'] = row[4] res['m'] = row[5] s_result[row[0]] = res cursor.close() return s_result def get_user_mucs(self, user_id, user_domain=''): if '@' in user_id: user_s_name = user_id.split('@')[0] user_domain = user_id.split('@')[1] else: sql_logger.error('SEARCH USER WITHOUT DOMAIN') return [] s_result = [] conn = self.conn sql = "SELECT muc_name||'@'||domain from user_register_mucs where username = %(user_s_name)s and registed_flag = 1 and host = %(user_domain)s" cursor = conn.cursor() cursor.execute(sql, {'user_s_name': user_s_name, 'user_domain': user_domain}) rs = cursor.fetchall() for row in rs: row = ['' if x is None else x for x in row] s_result.append(row[0]) cursor.close() return user_data def close(self): if self.conn: self.conn.close() def get_db_version(self): _version = False conn = self.conn sql = "SELECT version();" cursor = conn.cursor() cursor.execute(sql) rs = cursor.fetchall() for row in rs: row = ['' if x is None else x for x in row] _version = row[0] _result = re.findall('postgresql\s(\d.*?)\son', _version.lower()) if _result and len(_result) != 0: _version = _result[0] else: _version = False cursor.close() return _version def get_habit(self, key, habit, form, user, origin=False, common=False): if '@' in user: user_s_name = user.split('@')[0] user_domain = user.split('@')[1] else: sql_logger.error('SEARCH USER WITHOUT DOMAIN') return [] if not self.user_data: self.user_data = self.get_user_data(user_domain) if self.user_data: cache_redis_cli = RedisUtil() cache_redis_cli.set_all_user_data(data=self.user_data, domain=user_domain) sql_logger.info("redis user data set..") raw_key = key key = symbol_to_english(key) result = [] # 搜人的拼音和userid if form == 'single': _k = SINGLE_CACHE + '_' + user __user_data = redis_cli.get(_k) if __user_data: __user_data = json.loads(__user_data) elif habit[SINGLE_TRACE_KEY] or habit[SINGLE_KEY]: # user_list = set(habit[SINGLE_TRACE_KEY] + habit[SINGLE_KEY]) # 这里只要userid 不要domain user_list = habit[SINGLE_KEY] + list( filter(lambda x: x not in habit[SINGLE_KEY], habit[SINGLE_TRACE_KEY])) __user_data = self.single_habit_data(data=user_list, user_domain=user_domain) try: __user_data = sorted(__user_data, key=lambda x: user_list.index(x.get('uri', ''))) # __user_data = sorted(__user_data, key=lambda x: user_list.index(x.get('qtalkname', ''))) except ValueError: sql_logger.exception("ORDER PROBLEM : NOT IN LIST") redis_cli.set(name=_k, value=json.dumps(__user_data, ensure_ascii=False), ex=60) if __user_data: sql_logger.debug('user data {}'.format(__user_data)) # 纯中文 if not chinese_pattern.sub('', key): sql_logger.debug('修正前 {}'.format(key)) key = formulate_text(key) # 只保留中文 sql_logger.debug('修正为标点 {}'.format(key)) _r1 = list((filter(lambda x: key in x['name'], __user_data))) # 这里x['name'] 需要是string _r2 = list(filter(lambda x: get_similar_bool(key, x['name']), __user_data)) result = merge_list_of_dict(_r1, _r2) # 搜索userid 此处不考虑相似度只全匹配 elif ('.' in key) or ('_' in key) or ('-' in key): sql_logger.debug('修正前 {}'.format(key)) # key = formulate_text_to_uid(key) sql_logger.debug('修正为标点 {}'.format(key)) sql_logger.debug('user data {}'.format(__user_data)) # result = set(filter(lambda x: key in x['qtalkname'], __user_data)) result = merge_list_of_dict(list((filter(lambda x: key in x['qtalkname'], __user_data)))) elif chinese_pattern.findall(formulate_text(key)) and chinese_pattern.sub('', formulate_text(key)): # 中英符号结合 key = formulate_text(key) _r1 = list(filter(lambda x: key in formulate_text(x['name']), __user_data)) # 何靖宇 _r2 = list(filter(lambda x: get_similar_bool(a=key, b=x['name']), __user_data)) chinese_words = chinese_pattern.findall(key) sql_logger.debug('中文结果 {}'.format(chinese_words)) __k = list(map(lambda x: pinyin.get_pinyin(x), chinese_words)) test = {f: t for f, t in zip(chinese_words, __k)}.items() for i in test: key = key.replace(i[0], i[1]) sql_logger.debug('转换后 {}'.format(key)) _r3 = list(filter(lambda x: key in formulate_text(x['pinyin']), __user_data)) result = merge_list_of_dict(_r1, _r2, _r3) else: # 纯英文 sql_logger.debug('修正前 {}'.format(key)) key = formulate_text(key) sql_logger.debug('修正为标点 {}'.format(key)) sql_logger.debug('JU RAN YOU user data {}'.format(__user_data)) _r1 = list(filter(lambda x: key in x['qtalkname'], __user_data)) # jingyu.he _r2 = list(filter(lambda x: key in formulate_text(x['pinyin']), __user_data)) _r3 = list(filter(lambda x: get_similar_bool(a=key, b=x['qtalkname']), __user_data)) _r4 = list(filter(lambda x: get_similar_bool(a=key, b=x['pinyin']), __user_data)) result = merge_list_of_dict(_r1, _r2, _r3, _r4) sql_logger.debug('user data for result {}'.format(result)) sql_logger.debug('PUTTING INTO REDIS {}'.format(__user_data)) # 搜群的id 和拼音和 title elif form == 'muc': # key = formulate_text_to_uid(key) _k = MUC_CACHE + '_' + user __muc_data = redis_cli.get(_k) if __muc_data: __muc_data = json.loads(__muc_data) elif habit[MUC_TRACE_KEY] or habit[MUC_KEY]: # muc_list = set(habit[MUC_TRACE_KEY] + habit[MUC_KEY]) # 这里只要userid 不要domain muc_list = habit[MUC_KEY] + list(filter(lambda x: x not in habit[MUC_KEY], habit[MUC_TRACE_KEY])) __muc_data = self.muc_habit_data(muc_list, user=user) try: __muc_data = sorted(__muc_data, key=lambda x: muc_list.index(x.get('uri'))) except ValueError as e: sql_logger.exception("ORDER PROBLEM : NOT IN LIST") redis_cli.set(name=_k, value=json.dumps(__muc_data, ensure_ascii=False), ex=60) if __muc_data: sql_logger.debug('muc data {}'.format(__muc_data)) # 纯中文 __muc_list = [x.get('uri') for x in __muc_data] if not chinese_pattern.sub('', key): # result = set(filter(lambda x: key in x['label'], __muc_data)) _r1 = list(filter(lambda x: get_similar_bool(a=key, b=x['label']), __muc_data)) if common: _r2 = list((filter(lambda x: key in x['label'], __muc_data))) _r3 = self.search_group(user_id=user, username=raw_key, limit=len(__muc_list), offset=0, habit='', exclude=__muc_list, origin=origin, common=common, from_habit=True) _r3 = sorted(_r2, key=lambda x: __muc_list.index(x.get('uri'))) result = merge_list_of_dict(_r1, _r2, _r3) else: _r2 = list((filter(lambda x: key in x['label'], __muc_data))) result = merge_list_of_dict(_r1, _r2) # 搜索userid # 搜索群id elif chinese_pattern.sub('', formulate_text(key)): key = formulate_text(key) for __d in __muc_data: __d['label'] = formulate_text(__d['label']) _r1 = list(filter(lambda x: key in x['label'], __muc_data)) sql_logger.debug('R1 {}'.format(_r1)) # 群名称的拼音后续撤掉 # 先取每个结果的label 得到[拼音,首字母]的结果之后用map分别得到key是否在里再用reduce进行或操作 _r2 = list(filter(lambda x: reduce(lambda a, b: a + b, list( map(lambda x: True if key in x else False, pinyin.get_all(x['label'])))), __muc_data)) chinese_words = chinese_pattern.findall(key) __k = list(map(lambda x: pinyin.get_pinyin(x), chinese_words)) test = {f: t for f, t in zip(chinese_words, __k)}.items() for i in test: key = key.replace(i[0], i[1]) _r3 = list(filter(lambda x: reduce(lambda a, b: a + b, list( map(lambda x: True if key in x else False, pinyin.get_all(x['label'])))), __muc_data)) if common: _r4 = self.search_group(user_id=user, username=raw_key, limit=len(__muc_list), offset=0, habit='', exclude=__muc_list, origin=origin, common=common, from_habit=True) result = merge_list_of_dict(_r1, _r2, _r3, _r4) else: result = merge_list_of_dict(_r1, _r2, _r3) else: for __d in __muc_data: __d['label'] = formulate_text(__d['label']) _r1 = list(filter(lambda x: key in x['label'], __muc_data)) sql_logger.debug('R1 {}'.format(_r1)) _r2 = list(filter(lambda x: key in x['uri'], __muc_data)) sql_logger.debug('R2 {}'.format(_r2)) # 群名称的拼音后续撤掉 # 先取每个结果的label 得到[拼音,首字母]的结果之后用map分别得到key是否在里再用reduce进行或操作 _r3 = list(filter(lambda x: reduce(lambda a, b: a + b, list( map(lambda x: True if key in x else False, pinyin.get_all(x['label'])))), __muc_data)) if common: _r4 = self.search_group(user_id=user, username=raw_key, limit=len(__muc_list), offset=0, habit='', exclude=__muc_list, from_habit=True) result = merge_list_of_dict(_r1, _r2, _r3, _r4) else: result = merge_list_of_dict(_r1, _r2, _r3) sql_logger.debug( 'PINYIN {}'.format([pinyin.get_all(x['label']) for x in __muc_data])) sql_logger.debug('R3 {}'.format(_r3)) # self.close() sql_logger.debug('returning result {}'.format(list(result))) return list(result) def single_habit_data(self, data, user_domain=''): s_result = list() conn = self.conn data = list(map(lambda x: x.split('@')[0] if '@' in x else x, data)) sql = """SELECT aa.user_id, aa.department, aa.icon, aa.user_name, aa.mood,aa.pinyin FROM ( SELECT a.user_id, a.department, b.url AS icon, a.user_name, b.mood,a.pinyin FROM host_users a LEFT JOIN vcard_version b ON a.user_id = b.username WHERE a.hire_flag = 1 AND LOWER(a.user_type) != 's' AND a.user_id = ANY(%(user_lists)s) and a.host_id = ANY(select id from host_info where host = %(domain)s) ) aa """ cursor = conn.cursor() cursor.execute(sql, {'user_lists': data, 'domain': user_domain}) rs = cursor.fetchall() for row in rs: res = dict() row = ['' if x is None else x for x in row] res['qtalkname'] = row[0] res['uri'] = row[0] + '@' + domain res['content'] = row[1] res['icon'] = row[2] res['name'] = row[3] res['label'] = row[3] + '(' + row[0] + ')' if row[4]: res['label'] = res['label'] + ' - ' + row[4] res['pinyin'] = row[5] s_result.append(res) cursor.close() sql_logger.debug('SINGLE HABIT RESULT {}'.format(s_result)) return s_result def muc_habit_data(self, data, user, user_domain=''): s_result = list() conn = self.conn if '@' in user: user_s_name = user.split('@')[0] user_domain = user.split('@')[1] else: sql_logger.error('SEARCH USER WITHOUT DOMAIN') return [] # s_data = set(map(lambda x: x + '@conference.' + domain, data)) s_data = data sql = """select a.muc_name, a.domain, b.show_name, b.muc_title, b.muc_pic from user_register_mucs as a left join muc_vcard_info as b on concat(a.muc_name, '@', a.domain) = b.muc_name where a.registed_flag != 0 and a.username = %(user_id)s and (b.muc_name = ANY(%(muc_list)s)) and a.host = %(domain)s""" cursor = conn.cursor() cursor.execute(sql, {'muc_list': s_data, 'user_id': user_s_name, 'domain': user_domain}) rs = cursor.fetchall() for row in rs: row = ['' if x is None else x for x in row] res = dict() res['uri'] = row[0] + '@' + row[1] res['label'] = row[2] res['content'] = row[3] res['icon'] = row[4] s_result.append(res) cursor.close() sql_logger.debug('MUC HABIT {}'.format(s_result)) return s_result def search_user(self, username, user_id, limit=5, offset=0, habit='', exclude=None): s_result = list() conn = self.conn exclude_list = [] if '@' in user_id: user_s_name = user_id.split('@')[0] user_domain = user_id.split('@')[1] else: sql_logger.error('SEARCH USER WITHOUT DOMAIN') return regex_tag = username.startswith(REGEX_TAG) if regex_tag: search_model = '~' username = username[1:] else: search_model = 'ilike' username = '%{}%'.format(username) if exclude: exclude_list = {'{}'.format(x.get('qtalkname')) for x in exclude} offset = offset - len(exclude) if offset < 0: offset = 0 if if_cached: sql = """SELECT aa.user_id, aa.department, bb.url as icon, CASE WHEN aa.nick != '' THEN aa.nick ELSE aa.user_name END, bb.mood , aa.pinyin FROM ( SELECT a.user_id, b.department, b.user_name, b.pinyin, a.nick FROM ( SELECT uu.user_id || '@' || hh.host as user_id,'' as nick, uu.host_id as hostid FROM host_users uu LEFT JOIN host_info hh ON uu.host_id = hh.id WHERE uu.hire_flag = 1 AND LOWER(uu.user_type) != 's' AND uu.user_id <> ALL(%(exclude_list)s) AND (uu.user_id ILIKE %(username)s OR uu.user_name {search_model} %(username)s OR uu.pinyin ILIKE %(username)s) AND uu.host_id = ANY(select id from host_info where host = %(domain)s) UNION SELECT cc.subkey AS user_id, cc.configinfo as nick, hh.id as hostid FROM client_config_sync cc LEFT JOIN host_info hh ON cc.host = hh.host WHERE split_part(cc.subkey,'@',1) <> ALL(%(exclude_list)s) AND cc.username = %(user_s_name)s AND cc.configkey = 'kMarkupNames' AND cc.configinfo {search_model} %(username)s AND cc.host = %(domain)s ) a LEFT JOIN host_users b ON split_part(a.user_id,'@',1) = b.user_id AND a.hostid = b.host_id ) aa LEFT JOIN vcard_version bb ON aa.user_id = bb.username || '@' || bb.host ORDER BY aa.user_id ASC LIMIT %(limit)s OFFSET %(offset)s""" sql = sql.format(search_model=search_model) injection = {'username': username, 'user_id': user_id, 'limit': limit, 'offset': offset, 'exclude_list': exclude_list, 'domain': user_domain, 'user_s_name': user_s_name} else: sql = """SELECT aa.user_id, aa.department, bb.url as icon, CASE WHEN aa.nick != '' THEN aa.nick ELSE aa.user_name END, bb.mood , aa.pinyin FROM ( SELECT a.user_id, b.department, b.user_name, b.pinyin, a.nick FROM ( SELECT uu.user_id || '@' || hh.host as user_id,'' as nick, uu.host_id as hostid FROM host_users uu LEFT JOIN host_info hh ON uu.host_id = hh.id WHERE uu.hire_flag = 1 AND LOWER(uu.user_type) != 's' AND ( uu.user_id ILIKE %(username)s OR uu.user_name {search_model} %(username)s OR uu.pinyin ILIKE %(username)s ) AND uu.host_id = ANY(select id from host_info where host = %(domain)s ) UNION SELECT cc.subkey AS user_id, cc.configinfo as nick, hh.id as hostid FROM client_config_sync cc LEFT JOIN host_info hh ON cc.host = hh.host WHERE cc.username = %(user_s_name)s AND cc.configkey = 'kMarkupNames' AND cc.configinfo {search_model} %(username)s AND cc.host = %(domain)s ) a LEFT JOIN host_users b ON split_part(a.user_id, '@', 1) = b.user_id AND a.hostid = b.host_id ) aa LEFT JOIN vcard_version bb ON aa.user_id = bb.username || '@' || bb.host LEFT JOIN ( SELECT CASE WHEN m_from || '@' || from_host = %(user_id)s THEN m_to || '@' || to_host ELSE m_from || '@' || from_host END AS contact, max(create_time) mx FROM msg_history WHERE (m_from = %(user_s_name)s and from_host = %(domain)s ) or (m_to = %(user_s_name)s and to_host = %(domain)s ) GROUP BY contact ) cc ON aa.user_id = cc.contact ORDER BY cc.mx DESC nulls last LIMIT %(limit)s OFFSET %(offset)s""" sql = sql.format(search_model=search_model) injection = {'username': username, 'user_id': user_id, 'limit': limit, 'offset': offset, 'domain': user_domain, 'user_s_name': user_s_name} cursor = conn.cursor() cursor.execute(sql, injection) rs = cursor.fetchall() for row in rs: res = dict() row = ['' if x is None else x for x in row] res['qtalkname'] = row[0].split('@')[0] res['uri'] = row[0] res['content'] = row[1] res['icon'] = row[2] res['name'] = row[3] res['label'] = row[3] + '(' + row[0] + ')' if row[4]: res['label'] = res['label'] + ' - ' + row[4] res['pinyin'] = row[5] s_result.append(res) cursor.close() if if_cached and habit: sql_logger.debug('BEFORE HABIT REARRANGE {}\n HABIT {}'.format(s_result, habit)) s_result = self.sort_by_habit(data=s_result, habit=habit[SINGLE_KEY], name_key='qtalkname', search_key=username) sql_logger.debug('AFTER HABIT REARRANGE {}'.format(s_result)) elif if_cached and not habit: sql_logger.error("CACHED BUT NO HABIT, userid : {user_id}, username : {username}}".format(user_id=user_id, username=username)) if '.' in username and s_result: tag = False username = username + '@' + user_domain for x in s_result: if username == x.get('uri'): __ = s_result.pop(x) s_result = [__] + s_result tag = True if not tag and self.user_data: __complete_match = self.user_data.get(username) if __complete_match: res = dict() res['qtalkname'] = __complete_match['i'].split('@')[0] res['uri'] = __complete_match['i'] res['content'] = __complete_match['d'] res['icon'] = __complete_match['u'] res['name'] = __complete_match['n'] res['label'] = __complete_match['n'] + '(' + __complete_match['i'] + ')' if __complete_match['m']: res['label'] = res['label'] + ' - ' + __complete_match['m'] res['pinyin'] = __complete_match['p'] s_result = [res] + s_result sql_logger.debug('SINGLE HABIT {}'.format(s_result)) return s_result def search_group(self, user_id, username, limit=5, offset=0, habit='', exclude=None, origin=True, common=True, from_habit=False): # todo 这里写的很丑有时间可以优化一下 if '@' in user_id: user = user_id user_s_name = user_id.split('@')[0] user_domain = user_id.split('@')[1] else: sql_logger.error('SEARCH USER WITHOUT DOMAIN') return [] raw_key = username.strip() regex_tag = username.startswith(REGEX_TAG) if regex_tag: search_model = '~' username = username[1:] else: search_model = 'ilike' username = '%{}%'.format(username) raw_key = '%{}%'.format(raw_key) __start_time = time.time() s_result = list() key = None if not exclude: exclude = [] if common: key = username key = key.split() _key_list = [] for _k in key: if not chinese_pattern.sub('', _k): if len(_k) >= 2: _key_list.append(_k) else: if len(_k) > 3: _key_list.append(_k) # key = list(filter(lambda x: len(x) >= 2, key)) key = _key_list if key: if user_s_name in key: if not key.remove(user_id): return None else: return None # 根据key来返回命中高亮是返回汉子还是id TODO: 需要直接通过优化sql选择 if not chinese_pattern.findall(''.join(key)): ret_user_name = False else: ret_user_name = True if not exclude: exclude = [] offset = offset - len(exclude) if offset < 0: offset = 0 if from_habit: sql = self.make_common_sql(keys=key, origin=False, common=True, habit_tag=True) exclude_list = list(map(lambda x: x.split('@')[0], exclude)) else: sql = self.make_common_sql(keys=key, origin=origin, common=common) exclude_list = {'{}'.format(x.get('uri', '')) for x in exclude} exclude_list = list(map(lambda x: x.split('@')[0], exclude_list)) sql = sql.format(search_model=search_model, searcher_domain_index=user_domain) key_injection = { 'user_id': user_id, 'offset': offset, 'limit': limit, 'exclude_list': exclude_list, 'user_domain': user_domain, 'raw_key': raw_key, 'user_s_name': user_s_name } for _i, _k in enumerate(key): __ = 'key_{}'.format(_i + 1) key_injection = {**key_injection, **{__: _k}} if from_habit: injection = [*key, user_id, offset, limit, exclude_list, user_domain] elif common and origin: injection = [*key, user_id, offset, limit, exclude_list, username, user_domain] elif common and not origin: injection = [*key, user_id, offset, limit, exclude_list, user_domain] elif not common and origin: injection = [user_id, username, limit, offset, exclude_list, user_domain] conn = self.conn cursor = conn.cursor() cursor.execute(sql, key_injection) rs = cursor.fetchall() for row in rs: row = ['' if x is None else x for x in row] res = dict() # res['uri'] = row[0] + '@' + row[1] res['uri'] = row[0] res['label'] = row[2] res['content'] = row[3] res['icon'] = row[4] __hits = [] from_common = False from_name = False if row[5]: if isinstance(row[5], list): for i in row[5]: if i == ['']: from_name = True continue if not i: continue if isinstance(i, str): if '|' in i: __hits.extend(i.split('|')) else: __hits.append(i) elif isinstance(i, list): for u in i: if isinstance(u, str): if '|' in u: __hits.extend(u.split('|')) else: __hits.append(u) elif isinstance(u, list): for k in u: if '|' in k: __hits.extend(k.split('|')) else: __hits.append(k) else: raise TypeError("WRONG COMMON MEMBER HITS {}".format(row[5])) # 应该不会出现是str的情况, 如果出现基本上也过不去长度的检测 elif isinstance(row[5], str): if '|' in row[5]: __hits.extend(row[5].split('|')) else: __hits.append(row[5]) else: from_name = True if __hits and len(__hits) >= len(key): from_common = True res['hit'] = __hits elif __hits and len(__hits) < len(key): from_common = False if not from_name: continue if from_common and from_name: res['todoType'] = 6 elif from_common and not from_name: res['todoType'] = 4 elif not from_common and from_name: res['todoType'] = 2 s_result.append(res) cursor.close() if not from_habit: if if_cached and habit: _habit = list(map(lambda x: x + '@conference.' + domain, habit[MUC_KEY])) sql_logger.debug('BEFORE HABIT REARRANGE {}\n HABIT {}'.format(s_result, habit)) s_result = self.sort_by_habit(data=s_result, habit=_habit, name_key='uri') sql_logger.debug('AFTER HABIT REARRANGE {}'.format(s_result)) # s_result = self.sort_by_habit(data=s_result, habit=habit[MUC_KEY], name_key='uri') elif if_cached and not habit: sql_logger.error( "CACHED BUT NO HABIT, userid : {user_id}, username : {username}}".format(user_id=user_id, username=username)) else: _habit = list(map(lambda x: x + '@conference.' + domain, exclude_list)) # s_result = sorted(s_result, key=lambda x: [x for x in exclude_list].index(x)) sql_logger.debug('BEFORE HABIT REARRANGE {}\n HABIT {}'.format(s_result, habit)) s_result = self.sort_by_habit(data=s_result, habit=_habit, name_key='uri') sql_logger.debug('AFTER HABIT REARRANGE {}'.format(s_result)) if common and ret_user_name and self.user_data: for _r in s_result: hits = _r.get('hit', '') if not hits: break if isinstance(hits, list): # name = [x.get('n') for x in user_data if x.get('i') in hits] # name = [user_data.get(x.split('@')[0]).get('n', '') for x in hits] name = [self.user_data.get(x, {}).get('n', '') for x in hits] else: # name = [x.get('n') for x in user_data if x.get('i') == hits] name = [self.user_data.get(x, {}).get('n', '') for x in hits] _r['hit'] = name sql_logger.debug('GROUP RESULT {}'.format(s_result)) __end_time = time.time() sql_logger.info("SEARCH GROUP USED {}".format(__end_time - __start_time)) return s_result def search_group_by_single(self, user_id, key, limit=5, offset=0, habit='', exclude=None): if not isinstance(conference_str, str): if '@' in user_id: conference_str = 'conference.' + user_id.split('@')[1] else: raise TypeError("CANT DETERMINE DOMAIN FOR SEARCH conference_str {}".format(conference_str)) key = key.split() key = list(filter(lambda x: len(x) > 2, key)) if key: if user_id in key: if not key.remove(user_id): return None else: return None key_count = len(key) s_result = list() conn = self.conn if if_cached: sql = """SELECT A.muc_name, A.domain, B.show_name, B.muc_title, B.muc_pic FROM ( SELECT muc_name, domain FROM user_register_mucs WHERE username = %(user_id)s AND registed_flag != 0 AND muc_name IN ( SELECT muc_name FROM user_register_mucs WHERE username IN ( SELECT user_id FROM host_users WHERE hire_flag = 1 AND (user_id ~ ANY(array[%(key_str)s]) OR user_name ~ ANY(array[%(key_str)s]) OR pinyin ~ ANY(array[%(key_str)s]))) GROUP BY muc_name HAVING COUNT(*) = %(key_count)s )) A JOIN muc_vcard_info B ON (A.muc_name || %(conference_str)s) = b.muc_name LIMIT %(limit)s OFFSET %(offset)s""" else: sql = """SELECT A.muc_room_name, B.show_name, B.muc_title, B.muc_pic FROM (SELECT muc_room_name, MAX(create_time) as max FROM muc_room_history aa RIGHT JOIN (SELECT muc_name FROM user_register_mucs WHERE username = %(user_id)s AND registed_flag != 0 AND muc_name in (SELECT muc_name FROM user_register_mucs WHERE username IN (SELECT user_id FROM host_users WHERE hire_flag = 1 AND (user_id ~ any(array[%(key_str)s]) OR user_name ~ any(array[%(key_str)s]) OR pinyin ~ any(array[%(key_str)s]))) GROUP BY muc_name HAVING COUNT(*) = %(key_count)s)) bb ON aa.muc_room_name = bb.muc_name GROUP BY muc_room_name ORDER BY max DESC nulls last LIMIT %(limit)s OFFSET %(offset)s) A JOIN muc_vcard_info B ON (a.muc_room_name || %(conference_str)s) = b.muc_name""" cursor = conn.cursor() cursor.execute(sql, {'user_id': user_id, 'limit': limit, 'offset': offset, 'conference_str': '@' + conference_str, 'key_str': key, 'key_count': key_count}) rs = cursor.fetchall() for row in rs: row = ['' if x is None else x for x in row] res = dict() res['uri'] = row[0] + '@' + conference_str res['label'] = row[1] res['content'] = row[2] res['icon'] = row[3] s_result.append(res) cursor.close() if if_cached and habit: _habit = list(map(lambda x: x + '@conference.' + domain, habit[MUC_KEY])) sql_logger.debug('BEFORE HABIT REARRANGE {}\n HABIT {}'.format(s_result, habit)) s_result = self.sort_by_habit(data=s_result, habit=_habit, name_key='uri') sql_logger.debug('AFTER HABIT REARRANGE {}'.format(s_result)) # s_result = self.sort_by_habit(data=s_result, habit=habit[MUC_KEY], name_key='uri') elif if_cached and not habit: sql_logger.error("CACHED BUT NO HABIT, userid : {user_id}, username : {username}}".format(user_id=user_id, username=key)) sql_logger.debug('COMMON RESULT {}'.format(s_result)) return s_result def history_user(self, user_id, term, offset, limit, to_user=None, time_range=None, agg_tag=False): s_result = list() conn = self.conn if '@' in user_id: user_s_name = user_id.split('@')[0] user_domain = user_id.split('@')[1] else: sql_logger.error('SEARCH USER WITHOUT DOMAIN') return [] regex_tag = term.startswith(REGEX_TAG) if regex_tag: search_model = '~' term = term[1:] else: search_model = 'ilike' term = '%{}%'.format(term) if not agg_tag and to_user: sql = """SELECT create_time as date, m_from, from_host as fromhost, realfrom, m_to , to_host as tohost, realto as realto, m_body as msg, msg_id FROM msg_history WHERE xpath('/message/body/text()',m_body::xml)::text {search_model} %(term)s {user_limit} {time_limit_start} {time_limit_end} ORDER BY create_time DESC OFFSET %(offset)s LIMIT %(limit)s""" sub_injection = {} if to_user: if isinstance(to_user, list): user_limit = """AND ( (m_from = %(user_s_name)s and from_host = %(user_domain)s and m_to || '@' || to_host = ANY(%(to_user)s) OR (m_to = %(user_s_name)s and to_host = %(user_domain)s and m_from || '@' || from_host = ANY(%(to_user)s) )""" sub_injection['to_user'] = to_user sub_injection['user_s_name'] = user_s_name sub_injection['user_domain'] = user_domain elif isinstance(to_user, str): to_user_s_name = to_user.split('@')[0] to_user_domain = to_user.split('@')[1] user_limit = """AND ( (m_from = %(user_s_name)s and from_host = %(user_domain)s and m_to = %(to_user_s_name)s and to_host = %(to_user_domain)s ) OR (m_to = %(user_s_name)s and to_host = %(user_domain)s and m_from = %(to_user_s_name)s and from_host = %(to_user_domain)s ) )""" sub_injection['user_s_name'] = user_s_name sub_injection['user_domain'] = user_domain sub_injection['to_user_s_name'] = to_user_s_name sub_injection['to_user_domain'] = to_user_domain else: user_limit = '' else: user_limit = "AND ((m_from = %(user_s_name)s and from_host = %(user_domain)s) or(m_to = %(user_s_name)s and to_host = %(user_domain)s))" sub_injection['user_s_name'] = user_s_name sub_injection['user_domain'] = user_domain time_limit_start = '' time_limit_end = '' if time_range and isinstance(time_range, list): if time_range[0]: time_limit_start = "AND create_time > %(time_limit_starts)s" sub_injection['time_limit_start'] = time_range[0] if time_range[1]: time_limit_end = "AND create_time < %(time_limit_starts)s" sub_injection['time_limit_end'] = time_range[1] sql = sql.format(user_limit=user_limit, time_limit_start=time_limit_start, time_limit_end=time_limit_end, search_model=search_model) cursor = conn.cursor() cursor.execute(sql, {**{'term': term, 'limit': limit, 'offset': offset, 'user_id': user_id}, **sub_injection}) rs = cursor.fetchall() for row in rs: row = ['' if x is None else x for x in row] res = dict() if row[0]: res['date'] = row[0].strftime('%Y-%m-%d %H:%M:%S') else: res['date'] = '' res['from'] = row[1] + '@' + row[2] res['realfrom'] = row[3] if row[3] else res['from'] res['to'] = row[4] + '@' + row[5] res['realto'] = row[6] if row[6] else res['to'] res['msg'] = row[7] res['msgid'] = row[8] s_result.append(res) cursor.close() else: sql = """SELECT a.count, b.create_time as date, b.m_from, b.from_host as fromhost, b.realfrom, b.m_to, b.to_host as tohost, b.realto, b.m_body as msg, a.conversation, b.msg_id, a.id FROM ( SELECT count(1) as count, MAX(id) as id, m_from||'@'||from_host || '_' || m_to||'@'||to_host as conversation FROM msg_history WHERE xpath('/message/body/text()',m_body::xml)::text {search_model} %(term)s AND ( (m_from = %(user_s_name)s and from_host = %(user_domain)s) or (m_to = %(user_s_name)s and to_host = %(user_domain)s) {time_limit_start} {time_limit_end}) GROUP BY m_from||'@'||from_host || '_' || m_to||'@'||to_host ORDER BY id desc OFFSET %(offset)s LIMIT %(limit)s ) a LEFT JOIN msg_history b ON a.id = b.id""" sub_injection = {'user_s_name': user_s_name, 'user_domain': user_domain} time_limit_start = '' time_limit_end = '' if time_range and isinstance(time_range, list): if time_range[0]: time_limit_start = "AND b.create_time > %(time_limit_starts)s" sub_injection['time_limit_start'] = time_range[0] if time_range[1]: time_limit_end = "AND b.create_time < %(time_limit_starts)s" sub_injection['time_limit_end'] = time_range[1] sql = sql.format(time_limit_start=time_limit_start, time_limit_end=time_limit_end, search_model=search_model) cursor = conn.cursor() cursor.execute(sql, {**{'term': term, 'limit': limit, 'offset': offset, 'user_id': user_id}, **sub_injection}) rs = cursor.fetchall() for row in rs: row = ['' if x is None else x for x in row] res = dict() res['count'] = row[0] if row[1]: res['date'] = row[1].strftime('%Y-%m-%d %H:%M:%S') else: res['date'] = '' res['from'] = row[2] + '@' + row[3] res['realfrom'] = row[4] if row[4] else res['from'] res['to'] = row[5] + '@' + row[6] res['realto'] = row[7] if row[7] else res['to'] res['msg'] = row[8] res['conversation'] = row[9] res['msgid'] = row[10] res['id'] = row[11] s_result.append(res) cursor.close() s_result = self.handle_sql_result(data=s_result) return s_result def history_muc(self, user_id, term, offset, limit, to_muc=None, time_range=None, agg_tag=False): """ :param user_id: :param user_mucs: :param term: :param offset: :param limit: :param to_muc: :param time_range: :param agg_tag: :return: """ s_result = list() conn = self.conn if '@' in user_id: user_s_name = user_id.split('@')[0] user_domain = user_id.split('@')[1] else: sql_logger.error('SEARCH USER WITHOUT DOMAIN') return [] regex_tag = term.startswith(REGEX_TAG) if regex_tag: search_model = '~' term = term[1:] else: search_model = 'ilike' term = '%{}%'.format(term) if not agg_tag and to_muc: sql = """SELECT a.create_time as date, b.muc_name as _to, a.packet as msg, a.msg_id as msgid, b.show_name as label, b.muc_pic as icon FROM muc_room_history a left join muc_vcard_info b on a.muc_room_name = split_part(b.muc_name,'@',1) WHERE xpath('/message/body/text()',packet::xml)::text {search_model} %(term)s {muc_limit} {time_limit_start} {time_limit_end} ORDER BY create_time OFFSET %(offset)s LIMIT %(limit)s""" sub_injection = {} if to_muc: if isinstance(to_muc, list): muc_s_name = list(map(lambda x: x.split('@')[0], to_muc)) muc_limit = "AND muc_room_name = ANY(%(muc_s_name)s)" sub_injection['muc_s_name'] = muc_s_name elif isinstance(to_muc, str): muc_s_name = to_muc.split('@')[0] muc_limit = "AND muc_room_name = %(muc_s_name)s" sub_injection['muc_s_name'] = muc_s_name else: muc_limit = '' else: muc_limit = "AND muc_room_name in (SELECT muc_name FROM user_register_mucs where username = %(user_s_name)s and registed_flag = 1 AND domain = 'conference.'||%(user_domain)s )" sub_injection['user_s_name'] = user_s_name sub_injection['user_domain'] = user_domain time_limit_start = '' time_limit_end = '' if time_range and isinstance(time_range, list): if time_range[0]: time_limit_start = "AND create_time > %(time_limit_starts)s" sub_injection['time_limit_start'] = time_range[0] if time_range[1]: time_limit_end = "AND create_time < %(time_limit_starts)s" sub_injection['time_limit_end'] = time_range[1] sql = sql.format(muc_limit=muc_limit, time_limit_start=time_limit_start, time_limit_end=time_limit_end, search_model=search_model) cursor = conn.cursor() cursor.execute(sql, {**{'term': term, 'limit': limit, 'offset': offset, 'user_id': user_id}, **sub_injection}) rs = cursor.fetchall() for row in rs: row = ['' if x is None else x for x in row] res = dict() if row[0]: res['date'] = row[0].strftime('%Y-%m-%d %H:%M:%S') else: res['date'] = '' res['to'] = row[1] res['msg'] = row[2] res['msgid'] = row[3] res['from'] = '' res['label'] = row[4] res['icon'] = row[5] s_result.append(res) cursor.close() else: sql = """SELECT count, c.muc_name, b.msg_id, b.create_time as date, b.packet, c.show_name as label, c.muc_pic as icon , a.id FROM ( SELECT count(1) as count, MAX(id) as id, muc_room_name FROM muc_room_history WHERE xpath('/message/body/text()',packet::xml)::text {search_model} %(term)s AND muc_room_name = ANY(SELECT muc_name FROM user_register_mucs where username = %(user_s_name)s and registed_flag = 1 AND host = %(user_domain)s and domain = 'conference.' || %(user_domain)s ) {time_limit_start} {time_limit_end} GROUP BY muc_room_name ORDER BY id desc OFFSET %(offset)s LIMIT %(limit)s )a LEFT JOIN muc_room_history b ON a.id = b.id LEFT JOIN muc_vcard_info c on a.muc_room_name = split_part(c.muc_name,'@',1)""" sub_injection = {'user_s_name': user_s_name, 'user_domain': user_domain} time_limit_start = '' time_limit_end = '' if time_range and isinstance(time_range, list): if time_range[0]: time_limit_start = "AND create_time > %(time_limit_starts)s" sub_injection['time_limit_start'] = time_range[0] if time_range[1]: time_limit_end = "AND create_time < %(time_limit_starts)s" sub_injection['time_limit_end'] = time_range[1] sql = sql.format(time_limit_start=time_limit_start, time_limit_end=time_limit_end, search_model=search_model) cursor = conn.cursor() cursor.execute(sql, {**{'term': term, 'limit': limit, 'offset': offset, 'user_id': user_id}, **sub_injection}) rs = cursor.fetchall() for row in rs: row = ['' if x is None else x for x in row] res = dict() res['count'] = row[0] res['to'] = row[1] res['msgid'] = row[2] if row[3]: res['date'] = row[3].strftime('%Y-%m-%d %H:%M:%S') else: res['date'] = '' res['msg'] = row[4] res['from'] = '' res['label'] = row[5] res['icon'] = row[6] s_result.append(res) cursor.close() # s_result = self.handle_sql_result(data=s_result) return s_result def history_file(self, user_id, term, offset=0, limit=5, time_range=None): s_result = list() conn = self.conn if '@' in user_id: user_s_name = user_id.split('@')[0] user_domain = user_id.split('@')[1] else: sql_logger.error('SEARCH USER WITHOUT DOMAIN') return [] regex_tag = term.startswith(REGEX_TAG) if regex_tag: search_model = '~' term = term[1:] else: search_model = 'ilike' term = '%{}%'.format(term) sql = """SELECT file, from_, pfv.muc_name as to_, date, msgid, pfv.show_name as label, pfv.muc_pic as icon, msg FROM ( SELECT json(unnest(xpath('//body[@msgType="5"]/text()', packet::xml))::text) AS file, '' AS from_, muc_room_name AS to_, create_time AS date, msg_id AS msgid,packet as msg FROM muc_room_history WHERE muc_room_name IN ( SELECT muc_name FROM user_register_mucs WHERE username = %(user_s_name)s AND registed_flag = 1 AND host = %(user_domain)s ) ) pfc left join muc_vcard_info pfv on pfc.to_= split_part(pfv.muc_name,'@',1) UNION ALL SELECT file, from_, to_, date, msgid, pfb.user_name as label, pfv.url as icon, msg FROM ( SELECT json(unnest(xpath('/message/body[@msgType="5"]/text()', m_body::xml))::text) AS file, m_from || '@' || from_host as from_ , m_to || '@' || to_host as to_, create_time AS date , msg_id AS msgid, m_body as msg FROM msg_history WHERE (m_from = %(user_s_name)s AND from_host = %(user_domain)s ) OR (m_to = %(user_s_name)s AND to_host = %(user_domain)s ) ) pfx left join vcard_version pfv on split_part(pfx.from_,'@',1) = pfv.username left join host_users pfb on pfv.username = pfb.user_id and pfv.host = ANY(SELECT host from host_info WHERE id = pfb.host_id) WHERE file ->> 'FileName' {search_model} %(term)s {time_limit_start} {time_limit_end} ORDER BY date desc OFFSET %(offset)s LIMIT %(limit)s """ sub_injection = {'user_s_name': user_s_name, 'user_domain': user_domain} time_limit_start = '' time_limit_end = '' if time_range and isinstance(time_range, list): if time_range[0]: time_limit_start = "AND create_time > %(time_limit_starts)s" sub_injection['time_limit_start'] = time_range[0] if time_range[1]: time_limit_end = "AND create_time < %(time_limit_starts)s" sub_injection['time_limit_end'] = time_range[1] sql = sql.format(time_limit_start=time_limit_start, time_limit_end=time_limit_end, search_model=search_model) cursor = conn.cursor() cursor.execute(sql, {**{'term': term, 'limit': limit, 'offset': offset, 'user_id': user_id}, **sub_injection}) rs = cursor.fetchall() for row in rs: row = ['' if x is None else x for x in row] res = dict() res['fileinfo'] = row[0] res['from'] = row[1] res['to'] = row[2] if row[3]: res['date'] = row[3].strftime('%Y-%m-%d %H:%M:%S') else: res['date'] = '' res['msgid'] = row[4] res['source'] = row[5] if row[5] else row[1] res['icon'] = row[6] res['msg'] = row[7] res['mtype'] = 5 s_result.append(res) cursor.close() # s_result = self.handle_sql_result(data=s_result) return s_result def history_single_file(self, user_id, term, offset=0, limit=5): s_result = list() conn = self.conn sql = """SELECT * from ( SELECT unnest(xpath('//body[@msgType="5"]/text()',m_body::xml))::text::json as file, m_from, m_to,create_time as epo, msg_id as msgid from msg_history where m_from = %(user_id)s or m_to = %(user_id)s) as pfx where pfx.file->>'FileName' ~ %(term)s order by pfx.time desc offset %(offset)s limit %(limit)s""" cursor = conn.cursor() cursor.execute(sql, {'user_id': user_id, 'term': term, 'offset': offset, 'limit': limit}) rs = cursor.fetchall() for row in rs: row = ['' if x is None else x for x in row] res = dict() res['file'] = row[0] res['from'] = row[1] res['to'] = row[2] res['time'] = row[3] res['msgid'] = row[4] res['domain'] = domain res['chattype'] = 'chat' # chat groupchat s_result.append(res) # s_result = self.sort_by_habit(data=s_result, habit=_habit, name_key='uri') TODO sort by time, 返回之后添加count cursor.close() return s_result def history_muc_file(self, user_id, term, muc_list, offset=0, limit=5): s_result = list() conn = self.conn # sql = """SELECT * from ( SELECT unnest(xpath('//body[@msgType="5"]/text()',packet::xml))::text::json as file, nick as from, muc_room_name as to,create_time as time from muc_room_history where muc_room_name in ('dba632082f6b4c7f89159c47537df561')) as pfx where pfx.file->>'FileName' ~ '.apk' order by pfx.time desc offset 0 limit 2;""" sql = """SELECT * from ( SELECT unnest(xpath('//body[@msgType="5"]/text()',packet::xml))::text::json as file, nick, muc_room_name, create_time as time from muc_room_history where muc_room_name in %(muc_list)s ) as pfx where pfx.file->>'FileName' ~ %(term)s order by pfx.time desc offset %(offset)s limit %(limit)s""" cursor = conn.cursor() cursor.execute(sql, {'muc_lists': set(muc_list), 'term': term, 'offset': offset, 'limit': limit}) rs = cursor.fetchall() for row in rs: row = ['' if x is None else x for x in row] res = dict() res['file'] = row[0] res['from'] = row[1] res['to'] = row[2] res['time'] = row[3] res['msgid'] = row[4] res['domain'] = domain res['chattype'] = 'groupchat' # chat groupchat s_result.append(res) # s_result = self.sort_by_habit(data=s_result, habit=_habit, name_key='uri') TODO sort by time cursor.close() return s_result def get_person_info(self, person): result = {} if '@' in person: person = person.split('@')[0] sql = """ select a.user_name,b.url from host_users a join vcard_version b on a.user_id = %(person)s and a.user_id = b.username;""" conn = self.conn cursor = conn.cursor() cursor.execute(sql, {'person': person}) rs = cursor.fetchall() for row in rs: row = ['' if x is None else x for x in row] result['show_name'] = row[0] result['url'] = row[1] cursor.close() return result def get_mucs_info(self, muc): result = {} if '@' not in muc and isinstance(conference_str, str): muc = muc + '@' + conference_str sql = """select show_name,muc_pic from muc_vcard_info where muc_name = %(muc)s""" conn = self.conn cursor = conn.cursor() cursor.execute(sql, {'muc': muc}) rs = cursor.fetchall() for row in rs: row = ['' if x is None else x for x in row] result['show_name'] = row[0] result['muc_pic'] = row[1] # TODO SORT!!!! cursor.close() return result @staticmethod def handle_sql_result(data): result = {} for hit in data: a = hit['conversation'].split('_')[0] b = hit['conversation'].split('_')[1] conv = sorted([a, b])[0] + '_' + sorted([a, b])[1] if conv in result.keys(): _temp = result[conv] if _temp['id'] > hit['id']: result[conv]['count'] += hit['count'] else: result[conv] = hit result[conv]['count'] += _temp['count'] else: result[conv] = hit result = sorted(list(result.values()), key=lambda x: x.get('id')) return result @staticmethod def sort_by_habit(data, habit, name_key, search_key=''): if not name_key: sql_logger.warning("NO NAME_KEY FOUND :{}".format(data)) if not isinstance(data, list): sql_logger.error("DATA NOT A LIST :{data}".format(data=data)) return data if not isinstance(habit, (set, list)): sql_logger.error("HABIT NOT A LIST :{habit}".format(habit=habit)) return data for _h in habit: # for _h in habit[::-1]: name_list = [x[name_key] for x in data] if search_key: if search_key in _h and _h not in name_list: sql_logger.warning("SHOULD ADD {} TO KEY {} RESULT {}".format(_h, search_key, data)) # if name_key == '' if _h in name_list: _t = data.pop(name_list.index(_h)) data = [_t] + data return data @staticmethod def make_common_sql(keys, origin=True, common=True, habit_tag=False): sql = "" if common: if not keys: return case_pattern = [] union_pattern = [] key_len = len(keys) for i, k in enumerate(keys): case_pattern.append( """SELECT %(key_{i})s, user_id FROM host_users WHERE hire_flag = 1 AND user_id != %(user_s_name)s AND ( user_id ilike %(key_{i})s OR user_name {search_model} %(key_{i})s OR pinyin ilike %(key_{i})s ) AND host_id = ANY(SELECT id FROM host_info WHERE host = %(user_domain)s )""".format( i=i + 1, search_model='{search_model}')) union_pattern.append("""SELECT a.muc_name|| '@' || a.domain as muc_name, string_agg(a.username||'@'||a.host, '|') as hit, max(a.created_at) as time FROM user_register_mucs a JOIN tmp2 b ON a.muc_name = b.muc_name WHERE username IN (select user_id from tmp where key = %(key_{i})s ) and a.registed_flag != 0 AND a.domain = 'conference.' || %(user_domain)s group by a.muc_name || '@' || a.domain""".format(i=i + 1)) # keys 对应 $1 ... ${len(keys)} # 之后是searcher_index 序号为len + 1 # 然后是群组字符串 len + 2 # 然后是offset len + 3 # limit len + 4 # 排除在 len + 5 # 名字查询的key 在 len + 6 # domain 在 len + 7 if habit_tag: sql = """ WITH tmp (key, user_id) AS ( {keys_pattern} ), tmp2 (muc_name, domain, created_at) AS ( SELECT split_part(muc_name || '@' || domain,'@',1) ,split_part(muc_name || '@' || domain,'@',2), max(created_at) as created_at FROM user_register_mucs WHERE username = %(user_s_name)s AND host = %(user_domain)s AND registed_flag != 0 AND muc_name = ANY(%(exclude_list)s) AND domain = 'conference.' || %(user_domain)s GROUP BY muc_name || '@' || domain ) SELECT aa.mucname, split_part(bb.muc_name, '@', 2) AS domain, bb.show_name, bb.muc_title, bb.muc_pic, aa.tag FROM ( SELECT mucname, tag from ( SELECT muc_name AS mucname, array_agg(hit) AS tag FROM ( {select_pattern} ) foo GROUP BY muc_name HAVING COUNT(muc_name) = {length} ) boo ) aa JOIN muc_vcard_info bb ON (aa.mucname) = bb.muc_name offset %(offset)s limit %(limit)s""".format( keys_pattern=' union all '.join(case_pattern), select_pattern=' union all '.join(union_pattern), length=key_len, search_model='{search_model}') return sql if origin and common: # format 填空 sql = """ WITH tmp (key, user_id) AS ( {keys_pattern} ), tmp2 (muc_name, domain, created_at) AS ( SELECT split_part(muc_name || '@' || domain,'@',1) ,split_part(muc_name || '@' || domain,'@',2), max(created_at) as created_at FROM user_register_mucs WHERE username = %(user_s_name)s AND host = %(user_domain)s AND registed_flag != 0 AND muc_name <> ALL (%(exclude_list)s) AND domain = 'conference.' || %(user_domain)s GROUP BY muc_name || '@' || domain ) SELECT aa.mucname, split_part(bb.muc_name, '@', 2) AS domain, bb.show_name, bb.muc_title, bb.muc_pic, aa.tag FROM ( SELECT mucname, array_agg(tag) AS tag, MAX(time) as time FROM( SELECT mucname, tag, time from ( SELECT muc_name AS mucname, array_agg(hit) AS tag, max(time) as time FROM ( {select_pattern} ) foo GROUP BY muc_name HAVING COUNT(muc_name) = {length} ) boo union all select a.muc_name|| '@' || a.domain as muccname, array[''] as hit, a.created_at as time from tmp2 a join muc_vcard_info b on concat(a.muc_name, '@', a.domain) = b.muc_name where (b.show_name {search_model} %(raw_key)s or b.muc_name ilike %(raw_key)s ) ) poo GROUP BY mucname ) aa JOIN muc_vcard_info bb ON aa.mucname = bb.muc_name ORDER BY time DESC offset %(offset)s limit %(limit)s""".format( keys_pattern=' union all '.join(case_pattern), select_pattern=' union all '.join(union_pattern), length=key_len, search_model='{search_model}') elif common and not origin: sql = """ WITH tmp (key, user_id) AS ( {keys_pattern} ), tmp2 (muc_name, domain, created_at) AS ( SELECT split_part(muc_name || '@' || domain,'@',1) ,split_part(muc_name || '@' || domain,'@',2), max(created_at) as created_at FROM user_register_mucs WHERE username = %(user_s_name)s AND host = %(user_domain)s AND registed_flag != 0 AND muc_name <> ALL ( %(exclude_list)s ) AND domain = 'conference.' || %(user_domain)s GROUP BY muc_name || '@' || domain ) SELECT aa.mucname, split_part(bb.muc_name, '@', 2) AS domain, bb.show_name, bb.muc_title, bb.muc_pic, aa.tag FROM ( SELECT mucname, tag, time from ( SELECT muc_name AS mucname, array_agg(hit) AS tag, max(time) as time FROM ( {select_pattern} ) foo GROUP BY muc_name HAVING COUNT(muc_name) = {length} ) boo ) aa JOIN muc_vcard_info bb ON aa.mucname = bb.muc_name ORDER BY time DESC offset %(offset)s limit %(limit)s""".format( keys_pattern=' union all '.join(case_pattern), select_pattern=' union all '.join(union_pattern), search_model='{search_model}', length=key_len) elif not common and origin: sql = """SELECT b.muc_name as mucname, split_part(b.muc_name,'@',2) as domain, b.show_name, b.muc_title, b.muc_pic, array[''] FROM user_register_mucs as a left join muc_vcard_info as b ON concat(a.muc_name, '@', a.domain) = b.muc_name WHERE a.registed_flag != 0 and a.username = %(user_s_name)s and a.host = %(user_domain)s and (b.show_name {search_model} %(raw_key)s or b.muc_name ~ %(raw_key)s) and b.muc_name <> ALL (%(exclude_list)s) AND domain = {searcher_domain_index} order by b.update_time desc offset %(offset)s limit %(limit)s""" return sql class AsyncLib: def __init__(self, user_id): global PY_VERSION, DB_VERSION, if_async self.conn_str = 'postgres://{user}:{password}@{host}:{port}/{database}'.format(host=host, database=database, user=user, password=password, port=port) self.user_data = {} if user_id and '@' in user_id: __domain = user_id.split('@')[1] else: raise ValueError("NO DOMAIN FOUND IN ASYNC PG CONSTRUCTOR USERID {}".format(user_id)) if not self.user_data and self.user_data is not None: cache_redis_cli = RedisUtil() self.user_data = cache_redis_cli.get_all_user_data(domain=__domain) if not self.user_data: __user_lib = UserLib() self.user_data = __user_lib.get_user_data(domain=__domain) __user_lib.close() if self.user_data: cache_redis_cli.set_all_user_data(data=self.user_data, domain=__domain) sql_logger.info("redis user data set..") sql_logger.info("no user data in redis, making one into it..") if self.user_data: cache_redis_cli.set_all_user_data(data=self.user_data, domain=__domain) sql_logger.info("redis user data set..") else: sql_logger.error("NO USER FOUND IN POSTGRESQL!!") self.user_data = None if self.user_data is None: sql_logger.error("POSTGRESQL STILL NOT SET, IF SET, PLEASE RESTART SERVICE") raise ConnectionError("POSTGRESQL IS NOT CONNECTED BECAUSE NO USER FOUND") def close(self): return async def get_user_data(self, domain=''): """ aa.user_id, aa.department, aa.icon, aa.user_name, aa.mood, aa.pinyin :return: i n p u d m id name pinyin url department mood """ s_result = defaultdict(dict) sql = """select b.username || '@' || b.host as user_id, a.user_name,a.pinyin, b.url, a.department, b.mood from host_users a left join vcard_version b on a.user_id = b.username where a.hire_flag = 1 and a.host_id = ANY(select id from host_info where host = $1)""" pgconn = await asyncpg.connect(self.conn_str) stmt = await pgconn.prepare(sql) for (user_id, user_name, pinyin, url, department, mood) in await stmt.fetch(domain): row = [user_id, user_name, pinyin, url, department, mood] row = ['' if x is None else x for x in row] res = dict() res['i'] = row[0] res['n'] = row[1] res['p'] = row[2] res['u'] = row[3] res['d'] = row[4] res['m'] = row[5] s_result[row[0]] = res await pgconn.close() return s_result async def get_user_mucs(self, user_id, user_domain=''): if '@' in user_id: user_s_name = user_id.split('@')[0] user_domain = user_id.split('@')[1] else: sql_logger.error('SEARCH USER WITHOUT DOMAIN') return [] s_result = [] sql = "SELECT muc_name||'@'||domain from user_register_mucs where username = $1 and registed_flag = 1 and host = $2" pgconn = await asyncpg.connect(self.conn_str) injection = [user_s_name, user_domain] stmt = await pgconn.prepare(sql) for (_muc) in await stmt.fetch(*injection): s_result.append(_muc[0]) await pgconn.close() return s_result async def get_habit(self, key, habit, form, user, origin=False, common=False): if '@' in user: user_s_name = user.split('@')[0] user_domain = user.split('@')[1] else: sql_logger.error('SEARCH USER WITHOUT DOMAIN') return [] if not self.user_data: self.user_data = await self.get_user_data(user_domain) if self.user_data: cache_redis_cli = RedisUtil() cache_redis_cli.set_all_user_data(data=self.user_data, domain=user_domain) sql_logger.info("redis user data set..") raw_key = key # 圆角转半角 key = symbol_to_english(key) result = [] # 搜人的拼音和userid if form == 'single': _k = SINGLE_CACHE + '_' + user __user_data = redis_cli.get(_k) if __user_data: __user_data = json.loads(__user_data) elif habit[SINGLE_TRACE_KEY] or habit[SINGLE_KEY]: # user_list = set(habit[SINGLE_TRACE_KEY] + habit[SINGLE_KEY]) # 这里只要userid 不要domain user_list = habit[SINGLE_KEY] + list( filter(lambda x: x not in habit[SINGLE_KEY], habit[SINGLE_TRACE_KEY])) sql_logger.debug('WATCH ORDER {}'.format(user_list)) __user_data = await self.single_habit_data(user_list, user_domain) try: # __user_data = sorted(__user_data, key=lambda x: user_list.index(x.get('qtalkname', ''))) __user_data = sorted(__user_data, key=lambda x: user_list.index(x.get('uri', ''))) except ValueError: sql_logger.exception("ORDER PROBLEM : NOT IN LIST") sql_logger.debug('WATCH ORDER {}'.format(__user_data)) redis_cli.set(name=_k, value=json.dumps(__user_data, ensure_ascii=False), ex=60) if __user_data: sql_logger.debug('user data {}'.format(__user_data)) # 纯中文 if not chinese_pattern.sub('', key): sql_logger.debug('修正前 {}'.format(key)) key = formulate_text(key) # 只保留中文 sql_logger.debug('修正为标点 {}'.format(key)) _r1 = list((filter(lambda x: key in x['name'], __user_data))) # 这里x['name'] 需要是string _r2 = list(filter(lambda x: get_similar_bool(key, x['name']), __user_data)) result = merge_list_of_dict(_r1, _r2) # 搜索userid 此处不考虑相似度只全匹配 elif ('.' in key) or ('_' in key) or ('-' in key): sql_logger.debug('修正前 {}'.format(key)) # key = formulate_text_to_uid(key) sql_logger.debug('修正为标点 {}'.format(key)) sql_logger.debug('user data {}'.format(__user_data)) # result = set(filter(lambda x: key in x['qtalkname'], __user_data)) result = merge_list_of_dict(list((filter(lambda x: key in x['qtalkname'], __user_data)))) elif chinese_pattern.findall(formulate_text(key)) and chinese_pattern.sub('', formulate_text(key)): # 中英符号结合 key = formulate_text(key) _r1 = list(filter(lambda x: key in formulate_text(x['name']), __user_data)) # 何靖宇 _r2 = list(filter(lambda x: get_similar_bool(a=key, b=x['name']), __user_data)) sql_logger.debug('r1 {}'.format(_r1)) sql_logger.debug('r2 {}'.format(_r2)) chinese_words = chinese_pattern.findall(key) sql_logger.debug('中文结果 {}'.format(chinese_words)) __k = list(map(lambda x: pinyin.get_pinyin(x), chinese_words)) test = {f: t for f, t in zip(chinese_words, __k)}.items() for i in test: key = key.replace(i[0], i[1]) sql_logger.debug('转换后 {}'.format(key)) _r3 = list(filter(lambda x: key in formulate_text(x['pinyin']), __user_data)) result = merge_list_of_dict(_r1, _r2, _r3) else: # 纯英文 sql_logger.debug('修正前 {}'.format(key)) key = formulate_text(key) sql_logger.debug('修正为标点 {}'.format(key)) sql_logger.debug('JU RAN YOU user data {}'.format(__user_data)) _r1 = list(filter(lambda x: key in x['qtalkname'], __user_data)) # jingyu.he _r2 = list(filter(lambda x: key in formulate_text(x['pinyin']), __user_data)) _r3 = list(filter(lambda x: get_similar_bool(a=key, b=x['qtalkname']), __user_data)) _r4 = list(filter(lambda x: get_similar_bool(a=key, b=x['pinyin']), __user_data)) result = merge_list_of_dict(_r1, _r2, _r3, _r4) sql_logger.debug('user data for result {}'.format(result)) sql_logger.debug('PUTTING INTO REDIS {}'.format(__user_data)) # 搜群的id 和拼音和 title elif form == 'muc': # key = formulate_text_to_uid(key) _k = MUC_CACHE + '_' + user __muc_data = redis_cli.get(_k) if __muc_data: __muc_data = json.loads(__muc_data) elif habit[MUC_TRACE_KEY] or habit[MUC_KEY]: # muc_list = set(habit[MUC_TRACE_KEY] + habit[MUC_KEY]) # 这里只要userid 不要domain muc_list = habit[MUC_KEY] + list(filter(lambda x: x not in habit[MUC_KEY], habit[MUC_TRACE_KEY])) sql_logger.debug('WATCH ORDER {}'.format(muc_list)) __muc_data = await self.muc_habit_data(data=muc_list, user=user) try: __muc_data = sorted(__muc_data, key=lambda x: muc_list.index(x.get('uri'))) except ValueError: sql_logger.exception("ORDER PROBLEM : NOT IN LIST") sql_logger.debug('WATCH ORDER {}'.format(__muc_data)) redis_cli.set(name=_k, value=json.dumps(__muc_data, ensure_ascii=False), ex=60) if __muc_data: sql_logger.debug('muc data {}'.format(__muc_data)) __muc_list = [x.get('uri') for x in __muc_data] # 纯中文 if not chinese_pattern.sub('', key): key = formulate_text(key) # __muc_data中包含每个群组有的用户根据中文还是英文可以分别依靠user_data做一次判断 if common: _r1 = list((filter(lambda x: key in x['label'], __muc_data))) _r2 = await self.search_group(user_id=user, username=raw_key, limit=len(__muc_list), offset=0, habit='', exclude=__muc_list, origin=origin, common=common, from_habit=True) _r2 = sorted(_r2, key=lambda x: __muc_list.index(x.get('uri'))) _r3 = list((filter(lambda x: get_similar_bool(a=raw_key, b=x['label']), __muc_data))) result = merge_list_of_dict(_r1, _r2, _r3) else: _r1 = list((filter(lambda x: key in x['label'], __muc_data))) _r2 = list((filter(lambda x: get_similar_bool(a=raw_key, b=x['label']), __muc_data))) result = merge_list_of_dict(_r1, _r2) elif chinese_pattern.findall(formulate_text(key)) and chinese_pattern.sub('', formulate_text(key)): key = formulate_text(key) for __d in __muc_data: __d['label'] = formulate_text(__d['label']) _r1 = list(filter(lambda x: key in x['label'], __muc_data)) sql_logger.debug('R1 {}'.format(_r1)) # 群名称的拼音后续撤掉 # 先取每个结果的label 得到[拼音,首字母]的结果之后用map分别得到key是否在里再用reduce进行或操作 _r2 = list(filter(lambda x: reduce(lambda a, b: a + b, list( map(lambda x: True if key in x else False, pinyin.get_all(x['label'])))), __muc_data)) _r3 = list(filter(lambda x: get_similar_bool(key, x['label']), __muc_data)) chinese_words = chinese_pattern.findall(key) __k = list(map(lambda x: pinyin.get_pinyin(x), chinese_words)) test = {f: t for f, t in zip(chinese_words, __k)}.items() for i in test: key = key.replace(i[0], i[1]) _r4 = list(filter(lambda x: reduce(lambda a, b: a + b, list( map(lambda x: True if key in x else False, pinyin.get_all(x['label'])))), __muc_data)) if common: _r5 = await self.search_group(user_id=user, username=raw_key, limit=len(__muc_list), offset=0, habit='', exclude=__muc_list, origin=origin, common=common, from_habit=True) result = merge_list_of_dict(_r1, _r2, _r3, _r4, _r5) else: result = merge_list_of_dict(_r1, _r2, _r3, _r4) else: key = formulate_text(key) for __d in __muc_data: __d['label'] = formulate_text(__d['label']) _r1 = list(filter(lambda x: key in x['label'], __muc_data)) sql_logger.debug('R1 {}'.format(_r1)) _r2 = list(filter(lambda x: key in x['uri'], __muc_data)) sql_logger.debug('R2 {}'.format(_r2)) # 群名称的拼音后续撤掉 # 先取每个结果的label 得到[拼音,首字母]的结果之后用map分别得到key是否在里再用reduce进行或操作 _r3 = list(filter(lambda x: reduce(lambda a, b: a + b, list( map(lambda x: True if key in x else False, pinyin.get_all(x['label'])))), __muc_data)) _r4 = list(filter(lambda x: get_similar_bool(key, x['label']), __muc_data)) if common: _r5 = await self.search_group(user_id=user, username=raw_key, limit=len(__muc_list), offset=0, habit='', exclude=__muc_list, from_habit=True) result = merge_list_of_dict(_r1, _r2, _r3, _r4, _r5) else: result = merge_list_of_dict(_r1, _r2, _r3, _r4) sql_logger.debug( 'PINYIN {}'.format([pinyin.get_all(x['label']) for x in __muc_data])) sql_logger.debug('R3 {}'.format(_r3)) # self.close() sql_logger.debug('returning result {}'.format(list(result))) return list(result) async def single_habit_data(self, data, user_domain): s_result = list() s_data = list(map(lambda x: x.split('@')[0], data)) sql = """SELECT aa.user_id, aa.department, aa.icon, aa.user_name, aa.mood, aa.pinyin FROM ( SELECT a.user_id, a.department, b.url AS icon, a.user_name, b.mood, a.pinyin FROM host_users a LEFT JOIN vcard_version b ON a.user_id = b.username WHERE a.hire_flag = 1 AND LOWER(a.user_type) != 's' AND a.user_id = ANY($1) and a.host_id = ANY(select id from host_info where host = $2 )) aa """ pgconn = await asyncpg.connect(self.conn_str) stmt = await pgconn.prepare(sql) for (user_id, department, icon, user_name, mood, __pinyin) in await stmt.fetch(s_data, user_domain): res = dict() row = [user_id, department, icon, user_name, mood, __pinyin] row = ['' if x is None else x for x in row] res['qtalkname'] = row[0] res['uri'] = row[0] + '@' + domain res['content'] = row[1] res['icon'] = row[2] res['name'] = row[3] res['label'] = row[3] + '(' + row[0] + ')' if row[4]: res['label'] = res['label'] + ' - ' + row[4] res['pinyin'] = row[5] s_result.append(res) await pgconn.close() sql_logger.debug('SINGLE HABIT {}'.format(s_result)) return s_result async def muc_habit_data(self, data, user): if '@' in user: user_s_name = user.split('@')[0] user_domain = user.split('@')[1] if isinstance(conference_str, str): muc_domain = conference_str else: muc_domain = 'conference.' + user_domain else: sql_logger.error('SEARCH USER WITHOUT DOMAIN') return [] s_result = list() s_data = list(map(lambda x: x.split('@')[0], data)) # s_data = ','.join(list(map(lambda x: x + '@conference.' + domain, data))) sql = """select a.muc_name, a.domain, b.show_name, b.muc_title, b.muc_pic, b.show_name_pinyin from user_register_mucs as a left join muc_vcard_info as b on concat(a.muc_name, '@', a.domain) = b.muc_name where a.registed_flag != 0 and a.username = $2 and a.host = $3 and a.muc_name = ANY($1)""" injection = [s_data, user_s_name, user_domain] # 下面这个注解可取回群成员 # sql = """SELECT a.muc,a.user_list, b.show_name, b.muc_title, b.muc_pic, b.show_name_pinyin as pinyin FROM (SELECT (muc_name || '@' || domain )as muc, array_agg(username) as user_list FROM user_register_mucs WHERE registed_flag != 0 AND muc_name = ANY($1) GROUP BY muc_name ||'@'|| domain )a LEFT JOIN muc_vcard_info b on a.muc = b.muc_name""" # injection = [s_data] pgconn = await asyncpg.connect(self.conn_str) stmt = await pgconn.prepare(sql) for (url, s_domain, show_name, muc_title, muc_pic, __pinyin) in await stmt.fetch(*injection): row = [url, s_domain, show_name, muc_title, muc_pic, __pinyin] # if user not in row[1]: # continue row = ['' if x is None else x for x in row] res = dict() res['uri'] = row[0] + '@' + row[1] # res['member_list'] = row[1] res['label'] = row[2] res['content'] = row[3] res['icon'] = row[4] res['pinyin'] = row[5] s_result.append(res) await pgconn.close() sql_logger.debug('MUC HABIT {}'.format(s_result)) return s_result async def search_user(self, username, user_id, limit=5, offset=0, habit='', exclude=None): s_result = list() exclude_list = [] if '@' in user_id: user_s_name = user_id.split('@')[0] user_domain = user_id.split('@')[1] else: sql_logger.error('SEARCH USER WITHOUT DOMAIN') return [] if exclude: exclude_list = {'{}'.format(x.get('qtalkname')) for x in exclude} offset = offset - len(exclude) if offset < 0: offset = 0 regex_tag = username.startswith(REGEX_TAG) if regex_tag: search_model = '~' username = username[1:] else: search_model = 'ilike' username = '%{}%'.format(username) if if_cached: sql = """SELECT aa.user_id, aa.department, bb.url as icon, CASE WHEN aa.nick != '' THEN aa.nick ELSE aa.user_name END, bb.mood , aa.pinyin FROM ( SELECT a.user_id, b.department, b.user_name, b.pinyin, a.nick FROM ( SELECT uu.user_id || '@' || hh.host as user_id,'' as nick, uu.host_id as hostid FROM host_users uu LEFT JOIN host_info hh ON uu.host_id = hh.id WHERE uu.hire_flag = 1 AND LOWER(uu.user_type) != 's' AND uu.user_id <> ALL($4) AND (uu.user_id ILIKE $1 OR uu.user_name {search_model} $1 OR uu.pinyin ILIKE $1 ) AND uu.host_id = ANY(select id from host_info where host = $6 ) UNION SELECT cc.subkey AS user_id, cc.configinfo as nick, hh.id as hostid FROM client_config_sync cc LEFT JOIN host_info hh ON cc.host = hh.host WHERE split_part(cc.subkey,'@',1) <> ALL($4) AND cc.username = $5 AND cc.configkey = 'kMarkupNames' AND cc.configinfo {search_model} $1 AND cc.host = $6 ) a LEFT JOIN host_users b ON split_part(a.user_id,'@',1) = b.user_id AND a.hostid = b.host_id ) aa LEFT JOIN vcard_version bb ON aa.user_id = bb.username || '@' || bb.host ORDER BY aa.user_id ASC LIMIT $2 OFFSET $3""" sql = sql.format(search_model=search_model) injection = [username, limit, offset, exclude_list, user_s_name, user_domain] else: sql = """SELECT aa.user_id, aa.department, bb.url as icon, CASE WHEN aa.nick != '' THEN aa.nick ELSE aa.user_name END, bb.mood , aa.pinyin FROM ( SELECT a.user_id, b.department, b.user_name, b.pinyin, a.nick FROM ( SELECT uu.user_id || '@' || hh.host as user_id,'' as nick, uu.host_id as hostid FROM host_users uu LEFT JOIN host_info hh ON uu.host_id = hh.id WHERE uu.hire_flag = 1 AND LOWER(uu.user_type) != 's' AND ( uu.user_id ILIKE $1 OR uu.user_name {search_model} $1 OR uu.pinyin ILIKE $1 ) AND uu.host_id = ANY(select id from host_info where host = $5 ) UNION SELECT cc.subkey AS user_id, cc.configinfo as nick, hh.id as hostid FROM client_config_sync cc LEFT JOIN host_info hh ON cc.host = hh.host WHERE cc.username = $4 AND cc.configkey = 'kMarkupNames' AND cc.configinfo {search_model} $1 AND cc.host = $5 ) a LEFT JOIN host_users b ON split_part(a.user_id, '@', 1) = b.user_id AND a.hostid = b.host_id ) aa LEFT JOIN vcard_version bb ON aa.user_id = bb.username || '@' || bb.host LEFT JOIN ( SELECT CASE WHEN m_from || '@' || from_host = $6 THEN m_to || '@' || to_host ELSE m_from || '@' || from_host END AS contact, max(create_time) mx FROM msg_history WHERE (m_from = $4 and from_host = $5 ) or (m_to = $4 and to_host = $5 ) GROUP BY contact ) cc ON aa.user_id = cc.contact ORDER BY cc.mx DESC nulls last LIMIT $2 OFFSET $3""" sql = sql.format(search_model=search_model) injection = [username, limit, offset, user_s_name, user_domain, user_id] pgconn = await asyncpg.connect(self.conn_str) stmt = await pgconn.prepare(sql) for (user_id, department, icon, user_name, mood, __pinyin) in await stmt.fetch(*injection): res = dict() row = [user_id, department, icon, user_name, mood, __pinyin] row = ['' if x is None else x for x in row] res['qtalkname'] = row[0].split('@')[0] res['uri'] = row[0] res['content'] = row[1] res['icon'] = row[2] res['name'] = row[3] res['label'] = row[3] + '(' + row[0] + ')' if row[4]: res['label'] = res['label'] + ' - ' + row[4] res['pinyin'] = row[5] s_result.append(res) if if_cached and habit: sql_logger.debug('BEFORE HABIT REARRANGE {}\n HABIT {}'.format(s_result, habit)) s_result = self.sort_by_habit(data=s_result, habit=habit[SINGLE_KEY], name_key='qtalkname', search_key=username) sql_logger.debug('AFTER HABIT REARRANGE {}'.format(s_result)) elif if_cached and not habit: sql_logger.error("CACHED BUT NO HABIT, userid : {user_id}, username : {username}}".format(user_id=user_id, username=username)) # 将完全匹配放在第一, todo:以后应该从userdata取同时增加更新机制 if '.' in username and s_result: username = username + '@' + user_domain tag = False for x in s_result: if username == x.get('uri'): __ = s_result.pop(x) s_result = [__] + s_result tag = True if not tag and self.user_data: __complete_match = self.user_data.get(username) if __complete_match: res = dict() res['qtalkname'] = __complete_match['i'].split('@')[0] res['uri'] = __complete_match['i'] res['content'] = __complete_match['d'] res['icon'] = __complete_match['u'] res['name'] = __complete_match['n'] res['label'] = __complete_match['n'] + '(' + __complete_match['i'] + ')' if __complete_match['m']: res['label'] = res['label'] + ' - ' + __complete_match['m'] res['pinyin'] = __complete_match['p'] s_result = [res] + s_result await pgconn.close() sql_logger.debug('SINGLE RESULT {}'.format(s_result)) return s_result async def search_group(self, user_id, username, limit=5, offset=0, habit='', exclude=None, origin=True, common=True, from_habit=False): # todo 这里写的很丑有时间可以优化一下 if '@' in user_id: user_s_name = user_id.split('@')[0] user_domain = user_id.split('@')[1] else: sql_logger.error('SEARCH USER WITHOUT DOMAIN') return [] regex_tag = username.startswith(REGEX_TAG) if regex_tag: search_model = '~' username = username[1:] else: search_model = 'ilike' username = '%{}%'.format(username) raw_key = username.strip() __start_time = time.time() s_result = list() key = None if not exclude: exclude = [] if common: key = username key = key.split() _key_list = [] for _k in key: # 纯中文 if not chinese_pattern.sub('', _k): if len(_k) >= 2: if not regex_tag: _k = '%{}%'.format(_k) _key_list.append(_k) else: if len(_k) > 3: if not regex_tag: _k = '%{}%'.format(_k) _key_list.append(_k) # key = list(filter(lambda x: len(x) >= 2, key)) key = _key_list if key: if user_s_name in key: if not key.remove(user_id): common = False # return None else: common = False # 根据key来返回命中高亮是返回汉子还是id TODO: 需要直接通过优化sql选择 if common: if not chinese_pattern.findall(''.join(key)): ret_user_name = False else: ret_user_name = True if not exclude: exclude = set() offset = offset - len(exclude) if offset < 0: offset = 0 if from_habit: # 此处只是为了从缓存cache提供的群组踵查找组内用户如果key不是查找用户的话应该直接返回空 if key: sql = self.make_common_sql(keys=key, origin=False, common=common, habit_tag=True) else: return [] exclude_list = list(map(lambda x: x.split('@')[0], exclude)) else: sql = self.make_common_sql(keys=key, origin=origin, common=common) exclude_list = {'{}'.format(x.get('uri', '')) for x in exclude} exclude_list = list(map(lambda x: x.split('@')[0], exclude_list)) sql = sql.format(search_model=search_model) if from_habit: injection = [*key, user_id, offset, limit, exclude_list, user_domain] elif common and origin: injection = [*key, user_s_name, offset, limit, exclude_list, username, user_domain] elif common and not origin: injection = [*key, user_s_name, offset, limit, exclude_list, user_domain] elif not common and origin: injection = [user_s_name, username, limit, offset, exclude_list, user_domain] else: return [] pgconn = await asyncpg.connect(self.conn_str) stmt = await pgconn.prepare(sql) for (muc_name, s_domain, show_name, muc_title, muc_pic, users) in await stmt.fetch(*injection): row = [muc_name, s_domain, show_name, muc_title, muc_pic, users] row = ['' if x is None else x for x in row] res = dict() # res['uri'] = row[0] + '@' + row[1] res['uri'] = row[0] res['label'] = row[2] res['content'] = row[3] res['icon'] = row[4] __hits = [] from_common = False from_name = False if row[5]: if isinstance(row[5], list): for i in row[5]: if i == ['']: from_name = True continue if not i: continue if isinstance(i, str): if '|' in i: __hits.extend(i.split('|')) else: __hits.append(i) elif isinstance(i, list): for u in i: if isinstance(u, str): if '|' in u: __hits.extend(u.split('|')) else: __hits.append(u) elif isinstance(u, list): for k in u: if '|' in k: __hits.extend(k.split('|')) else: __hits.append(k) else: raise TypeError("WRONG COMMON MEMBER HITS {}".format(row[5])) # 应该不会出现是str的情况, 如果出现基本上也过不去长度的检测 elif isinstance(row[5], str): if '|' in row[5]: __hits.extend(row[5].split('|')) else: __hits.append(row[5]) else: from_name = True if __hits and len(__hits) >= len(key): from_common = True res['hit'] = __hits elif __hits and len(__hits) < len(key): from_common = False if not from_name: continue if from_common and from_name: res['todoType'] = 6 elif from_common and not from_name: res['todoType'] = 4 elif not from_common and from_name: res['todoType'] = 2 s_result.append(res) await pgconn.close() if not from_habit: if if_cached and habit: _habit = list(map(lambda x: x + '@conference.' + domain, habit[MUC_KEY])) sql_logger.debug('BEFORE HABIT REARRANGE {}\n HABIT {}'.format(s_result, habit)) s_result = self.sort_by_habit(data=s_result, habit=_habit, name_key='uri') sql_logger.debug('AFTER HABIT REARRANGE {}'.format(s_result)) # s_result = self.sort_by_habit(data=s_result, habit=habit[MUC_KEY], name_key='uri') elif if_cached and not habit: sql_logger.error( "CACHED BUT NO HABIT, userid : {user_id}, username : {username}}".format(user_id=user_id, username=username)) else: _habit = list(map(lambda x: x + '@conference.' + domain, exclude_list)) # s_result = sorted(s_result, key=lambda x: [x for x in exclude_list].index(x)) sql_logger.debug('BEFORE HABIT REARRANGE {}\n HABIT {}'.format(s_result, habit)) s_result = self.sort_by_habit(data=s_result, habit=_habit, name_key='uri') sql_logger.debug('AFTER HABIT REARRANGE {}'.format(s_result)) if common and ret_user_name and self.user_data: for _r in s_result: hits = _r.get('hit', '') if not hits: break if isinstance(hits, list): # name = [x.get('n') for x in user_data if x.get('i') in hits] # name = [user_data.get(x.split('@')[0]).get('n', '') for x in hits] name = [self.user_data.get(x, {}).get('n', '') for x in hits] else: # name = [x.get('n') for x in user_data if x.get('i') == hits] name = [self.user_data.get(x, {}).get('n', '') for x in hits] _r['hit'] = name sql_logger.debug('GROUP RESULT {}'.format(s_result)) __end_time = time.time() sql_logger.info("SEARCH GROUP USED {}".format(__end_time - __start_time)) return s_result async def search_group_by_single(self, user_id, key, limit=5, offset=0, habit='', exclude=None): if '@' in user: user_s_name = user.split('@')[0] user_domain = user.split('@')[1] else: sql_logger.error('SEARCH USER WITHOUT DOMAIN') return [] if not isinstance(conference_str, str): if '@' in user_id: conference_str = 'conference.' + user_id.split('@')[1] else: raise TypeError("CANT DETERMINE DOMAIN FOR SEARCH conference_str {}".format(conference_str)) if not exclude: exclude = [] key = key.split() key = list(filter(lambda x: len(x) > 2, key)) if key: if user_id in key: if not key.remove(user_id): return None else: return None # 根据key来返回命中高亮是返回汉子还是id TODO: 需要直接通过优化sql选择 if not chinese_pattern.findall(''.join(key)): ret_user_name = False else: ret_user_name = True key_count = len(key) s_result = list() if if_cached: # sql = """SELECT A.muc_name, A.domain, B.show_name, B.muc_title, B.muc_pic FROM ( SELECT muc_name, domain FROM user_register_mucs WHERE username = $1 AND registed_flag != 0 AND muc_name IN ( SELECT muc_name FROM user_register_mucs WHERE username IN ( SELECT user_id FROM host_users WHERE hire_flag = 1 AND (user_id ~ ANY($2) OR user_name ~ ANY($2) OR pinyin ~ ANY($2))) GROUP BY muc_name HAVING COUNT(*) = $3 )) A JOIN muc_vcard_info B ON (A.muc_name || $6) = b.muc_name LIMIT $4 OFFSET $5""" sql = self.make_common_sql(key) exclude_list = {'{}'.format(x.get('uri', '')) for x in exclude} injection = [*key, user_id, '@' + conference_str, offset, limit, exclude_list] else: sql = """SELECT A.muc_room_name, split_part(b.muc_name, '@', 2) as domain, B.show_name, B.muc_title, B.muc_pic FROM (SELECT muc_room_name, MAX(create_time) as max FROM muc_room_history aa RIGHT JOIN (SELECT muc_name FROM user_register_mucs WHERE username = $1 AND registed_flag != 0 AND muc_name in (SELECT muc_name FROM user_register_mucs WHERE username IN (SELECT user_id FROM host_users WHERE hire_flag = 1 AND (user_id ~ any($2) OR user_name ~ any($2) OR pinyin ~ any($2))) GROUP BY muc_name HAVING COUNT(*) = $3)) bb ON aa.muc_room_name = bb.muc_name GROUP BY muc_room_name ORDER BY max DESC nulls last LIMIT $4 OFFSET $5) A JOIN muc_vcard_info B ON (a.muc_room_name || $6) = b.muc_name""" injection = [user_id, key, key_count, limit, offset, '@' + conference_str] pgconn = await asyncpg.connect(self.conn_str) stmt = await pgconn.prepare(sql) for (muc_name, s_domain, show_name, muc_title, muc_pic, users) in await stmt.fetch(*injection): row = [muc_name, s_domain, show_name, muc_title, muc_pic, users] row = ['' if x is None else x for x in row] res = dict() res['uri'] = row[0] + '@' + row[1] res['label'] = row[2] res['content'] = row[3] res['icon'] = row[4] res['hit'] = row[5] if isinstance(row[5], list) else [row[5]] s_result.append(res) await pgconn.close() if ret_user_name and user_data: for _r in s_result: hits = _r.get('hit', '') if isinstance(hits, list): # name = [x.get('n') for x in user_data if x.get('i') in hits] name = [user_data.get(x).get('n', '') for x in hits] else: # name = [x.get('n') for x in user_data if x.get('i') == hits] name = [user_data.get(x).get('n', '') for x in hits] _r['hit'] = name if if_cached and habit: _habit = list(map(lambda x: x + '@conference.' + domain, habit[MUC_KEY])) sql_logger.debug('BEFORE HABIT REARRANGE {}\n HABIT {}'.format(s_result, habit)) s_result = self.sort_by_habit(data=s_result, habit=_habit, name_key='uri') sql_logger.debug('AFTER HABIT REARRANGE {}'.format(s_result)) elif if_cached and not habit: sql_logger.error("CACHED BUT NO HABIT, userid : {user_id}, username : {username}}".format(user_id=user_id, username=key)) sql_logger.debug('COMMON RESULT {}'.format(s_result)) return s_result async def history_user(self, user_id, term, offset, limit, to_user=None, time_range=None, agg_tag=False): s_result = list() if '@' in user_id: user_s_name = user_id.split('@')[0] user_domain = user_id.split('@')[1] else: sql_logger.error('SEARCH USER WITHOUT DOMAIN') return [] regex_tag = term.startswith(REGEX_TAG) if regex_tag: search_model = '~' term = term[1:] else: search_model = 'ilike' term = '%{}%'.format(term) if not agg_tag and to_user: sql = """SELECT create_time as date, m_from, from_host as fromhost, realfrom, m_to , to_host as tohost, realto as realto, m_body as msg, msg_id FROM msg_history WHERE xpath('/message/body/text()',m_body::xml)::text {search_model} $1 {user_limit} {time_limit_start} {time_limit_end} ORDER BY create_time DESC OFFSET $3 LIMIT $2""" injection = [term, limit, offset, user_s_name, user_domain] if to_user: if isinstance(to_user, list): # TODO: 这里可能要做prepare 不然在没有realto的时候拼接字段会导致慢查询 user_limit = """AND ( (m_from = $4 and from_host = $5 and m_to || '@' || to_host = ANY($6) OR (m_to = $4 and to_host = $5 and m_from || '@' || from_host = ANY($6) )""" injection += [to_user] elif isinstance(to_user, str): to_user_s_name = to_user.split('@')[0] to_user_domain = to_user.split('@')[1] user_limit = """AND ( (m_from = $4 and from_host = $5 and m_to = $6 and to_host = $7 ) OR (m_to = $4 and to_host = $5 and m_from = $6 and from_host =$7 ) )""" injection += [to_user_s_name, to_user_domain] else: user_limit = '' else: # user_limit = "AND (m_from = $4 or m_to = $4)" user_limit = "AND ((m_from = $4 and from_host = $5) or(m_to = $4 and to_host = $5))" time_limit_start = '' time_limit_end = '' if time_range and isinstance(time_range, list): first_index = len(injection) + 1 second_index = len(injection) + 2 if time_range[0] and time_range[1]: time_limit_start = "AND create_time > ${} AND create_time < ${}".format(first_index, second_index) injection += time_range elif time_range[0] and not time_range[1]: time_limit_start = "AND create_time > ${}".format(first_index) injection += [time_range[0]] elif time_range[1] and not time_range[0]: time_limit_end = "AND create_time < ${}".format(first_index) injection += [time_range[1]] sql = sql.format(user_limit=user_limit, time_limit_start=time_limit_start, time_limit_end=time_limit_end, search_model=search_model) pgconn = await asyncpg.connect(self.conn_str) stmt = await pgconn.prepare(sql) for (date, m_from, fromhost, realfrom, m_to, tohost, realto, msg, msg_id) in await stmt.fetch(*injection): res = dict() row = [date, m_from, fromhost, realfrom, m_to, tohost, realto, msg, msg_id] row = ['' if x is None else x for x in row] if row[0]: res['date'] = row[0].strftime('%Y-%m-%d %H:%M:%S') else: res['date'] = '' res['from'] = row[1] + '@' + row[2] res['realfrom'] = row[3] if row[3] else res['from'] res['to'] = row[4] + '@' + row[5] res['realto'] = row[6] if row[6] else res['to'] res['msg'] = row[7] res['msgid'] = row[8] s_result.append(res) await pgconn.close() else: sql = """SELECT a.count, b.create_time as date, b.m_from, b.from_host as fromhost, b.realfrom, b.m_to, b.to_host as tohost, b.realto, b.m_body as msg, a.conversation, b.msg_id, a.id FROM ( SELECT count(1) as count, MAX(id) as id, m_from||'@'||from_host || '_' || m_to||'@'||to_host as conversation FROM msg_history WHERE xpath('/message/body/text()',m_body::xml)::text {search_model} $1 AND ( (m_from = $4 and from_host = $5 ) or (m_to = $4 and to_host = $5) {time_limit_start} {time_limit_end}) GROUP BY m_from||'@'||from_host || '_' || m_to||'@'||to_host ORDER BY id desc OFFSET $3 LIMIT $2 ) a LEFT JOIN msg_history b ON a.id = b.id""" injection = [term, limit, offset, user_s_name, user_domain] time_limit_start = '' time_limit_end = '' if time_range and isinstance(time_range, list): if time_range[0] and time_range[1]: time_limit_start = "AND b.create_time > $6 AND b.create_time < $7 " injection += time_range elif time_range[1] and not time_range[0]: time_limit_end = "AND b.create_time < $6" injection += time_range[1] elif time_range[0] and not time_range[1]: time_limit_end = "AND b.create_time > $6" injection += time_range[0] sql = sql.format(time_limit_start=time_limit_start, time_limit_end=time_limit_end, search_model=search_model) pgconn = await asyncpg.connect(self.conn_str) stmt = await pgconn.prepare(sql) for (count, date, m_from, fromhost, realfrom, m_to, tohost, realto, msg, conversation, msg_id, _id) in await stmt.fetch(*injection): row = [count, date, m_from, fromhost, realfrom, m_to, tohost, realto, msg, conversation, msg_id, _id] row = ['' if x is None else x for x in row] res = dict() res['count'] = row[0] if row[1]: res['date'] = row[1].strftime('%Y-%m-%d %H:%M:%S') else: res['date'] = '' res['from'] = row[2] + '@' + row[3] res['realfrom'] = row[4] if row[4] else res['from'] res['to'] = row[5] + '@' + row[6] res['realto'] = row[7] if row[7] else res['to'] res['msg'] = row[8] res['conversation'] = row[9] res['msgid'] = row[10] res['id'] = row[11] s_result.append(res) s_result = self.handle_sql_result(data=s_result) await pgconn.close() return s_result async def history_muc(self, user_id, term, offset, limit, to_muc=None, time_range=None, agg_tag=False): """ :param user_id: :param user_mucs: :param term: :param offset: :param limit: :param to_muc: :param time_range: :param agg_tag: :return: """ s_result = list() if '@' in user_id: user_s_name = user_id.split('@')[0] user_domain = user_id.split('@')[1] else: sql_logger.error('SEARCH USER WITHOUT DOMAIN') return regex_tag = term.startswith(REGEX_TAG) if regex_tag: search_model = '~' term = term[1:] else: search_model = 'ilike' term = '%{}%'.format(term) if not agg_tag and to_muc: sql = """SELECT a.create_time as date, b.muc_name as _to, a.packet as msg, a.msg_id as msgid, b.show_name as label, b.muc_pic as icon FROM muc_room_history a left join muc_vcard_info b on a.muc_room_name = split_part(b.muc_name,'@',1) WHERE xpath('/message/body/text()',packet::xml)::text {search_model} $1 {muc_limit} {time_limit_start} {time_limit_end} ORDER BY create_time DESC OFFSET $3 LIMIT $2""" injection = [term, limit, offset, user_s_name] time_limit_start = '' time_limit_end = '' if to_muc: if isinstance(to_muc, list): to_muc = list(map(lambda x: x.split('@')[0], to_muc)) muc_limit = "AND muc_room_name = ANY(SELECT muc_name FROM user_register_mucs WHERE username = $4 AND muc_name = ANY($5) )" injection += [to_muc] elif isinstance(to_muc, str): to_muc = to_muc.split('@')[0] muc_limit = "AND muc_room_name = ANY(SELECT muc_name FROM user_register_mucs WHERE username = $4 AND muc_name = $5)" injection += [to_muc] else: return [] if time_range and isinstance(time_range, list): if time_range[0] and time_range[1]: time_limit_start = "AND create_time > $6" time_limit_end = "AND create_time < $7" injection += time_range if time_range[0] and not time_range[1]: time_limit_start = "AND create_time > $6" injection += [time_range[0]] if time_range[1] and not time_range[0]: time_limit_end = "AND create_time < $6" injection += [time_range[1]] else: muc_limit = "AND muc_room_name in (SELECT muc_name FROM user_register_mucs where username = $4 and registed_flag = 1)" if time_range and isinstance(time_range, list): if time_range[0] and time_range[1]: time_limit_start = "AND create_time > $5" time_limit_end = "AND create_time < $6" injection += time_range if time_range[0] and not time_range[1]: time_limit_start = "AND create_time > $5" injection += [time_range[0]] if time_range[1] and not time_range[0]: time_limit_end = "AND create_time < $5" sql = sql.format(muc_limit=muc_limit, time_limit_start=time_limit_start, time_limit_end=time_limit_end, search_model=search_model) pgconn = await asyncpg.connect(self.conn_str) stmt = await pgconn.prepare(sql) for (date, _to, msg, msgid, label, icon) in await stmt.fetch(*injection): row = [date, _to, msg, msgid, label, icon] row = ['' if x is None else x for x in row] res = dict() if row[0]: res['date'] = row[0].strftime('%Y-%m-%d %H:%M:%S') else: res['date'] = '' res['to'] = row[1] res['msg'] = row[2] res['msgid'] = row[3] res['from'] = '' res['label'] = row[4] res['icon'] = row[5] s_result.append(res) await pgconn.close() else: sql = """SELECT count, c.muc_name, b.msg_id, b.create_time as date, b.packet, c.show_name as label, c.muc_pic as icon , a.id FROM ( SELECT count(1) as count, MAX(id) as id, muc_room_name FROM muc_room_history WHERE xpath('/message/body/text()',packet::xml)::text {search_model} $1 AND muc_room_name = ANY(SELECT muc_name FROM user_register_mucs where username = $4 and registed_flag = 1 AND host = $5 and domain = 'conference.' || $5 ) {time_limit_start} {time_limit_end} GROUP BY muc_room_name ORDER BY id desc OFFSET $3 LIMIT $2 )a LEFT JOIN muc_room_history b ON a.id = b.id LEFT JOIN muc_vcard_info c on a.muc_room_name = split_part(c.muc_name,'@',1)""" injection = [term, limit, offset, user_s_name, user_domain] time_limit_start = '' time_limit_end = '' if time_range and isinstance(time_range, list): if time_range[0] and time_range[1]: time_limit_start = "AND create_time > $7" time_limit_end = "AND create_time < $8" injection += time_range if time_range[0] and not time_range[1]: time_limit_start = "AND create_time > $7" injection += [time_range[0]] if time_range[1] and not time_range[0]: time_limit_end = "AND create_time < $7" sql = sql.format(time_limit_start=time_limit_start, time_limit_end=time_limit_end, search_model=search_model) pgconn = await asyncpg.connect(self.conn_str) stmt = await pgconn.prepare(sql) for (count, muc_room_name, msg_id, date, packet, label, icon, __id) in await stmt.fetch(*injection): row = [count, muc_room_name, msg_id, date, packet, label, icon, __id] row = ['' if x is None else x for x in row] res = dict() res['count'] = row[0] res['to'] = row[1] res['msgid'] = row[2] if row[3]: res['date'] = row[3].strftime('%Y-%m-%d %H:%M:%S') else: res['date'] = '' res['msg'] = row[4] res['from'] = '' res['label'] = row[5] res['icon'] = row[6] s_result.append(res) await pgconn.close() # s_result = self.handle_sql_result(data=s_result) return s_result async def history_file(self, user_id, term, offset=0, limit=5, time_range=None): """ :param user_id: :param term: :param offset: :param limit: :param time_range: :return: """ s_result = list() if '@' in user_id: user_s_name = user_id.split('@')[0] user_domain = user_id.split('@')[1] else: sql_logger.error('SEARCH USER WITHOUT DOMAIN') return [] regex_tag = term.startswith(REGEX_TAG) if regex_tag: search_model = '~' term = term[1:] else: search_model = 'ilike' term = '%{}%'.format(term) sql = """SELECT file, from_, pfv.muc_name as to_, date, msgid, pfv.show_name as label, pfv.muc_pic as icon, msg FROM ( SELECT json(unnest(xpath('//body[@msgType="5"]/text()', packet::xml))::text) AS file, '' AS from_, muc_room_name AS to_, create_time AS date, msg_id AS msgid,packet as msg FROM muc_room_history WHERE muc_room_name IN ( SELECT muc_name FROM user_register_mucs WHERE username = $4 AND registed_flag = 1 AND host= $5 ) ) pfc left join muc_vcard_info pfv on pfc.to_= split_part(pfv.muc_name,'@',1) UNION ALL SELECT file, from_, to_, date, msgid, pfb.user_name as label, pfv.url as icon, msg FROM ( SELECT json(unnest(xpath('/message/body[@msgType="5"]/text()', m_body::xml))::text) AS file, m_from || '@' || from_host as from_ , m_to || '@' || to_host as to_, create_time AS date , msg_id AS msgid, m_body as msg FROM msg_history WHERE (m_from = $4 AND from_host = $5 ) OR (m_to = $4 AND to_host = $5 ) ) pfx left join vcard_version pfv on split_part(pfx.from_,'@',1) = pfv.username left join host_users pfb on pfv.username = pfb.user_id and pfv.host = ANY(SELECT host from host_info WHERE id = pfb.host_id) WHERE file ->> 'FileName' {search_model} $1 {time_limit_start} {time_limit_end} ORDER BY date desc OFFSET $3 LIMIT $2 """ injection = [term, limit, offset, user_s_name, user_domain] time_limit_start = '' time_limit_end = '' if time_range and isinstance(time_range, list): if time_range[0] and time_range[1]: time_limit_start = "AND create_time > $5" time_limit_end = "AND create_time < $6" injection += time_range if time_range[0] and not time_range[1]: time_limit_start = "AND create_time > $5" injection += [time_range[0]] if time_range[1] and not time_range[0]: time_limit_end = "AND create_time < $5" sql = sql.format(time_limit_start=time_limit_start, time_limit_end=time_limit_end, search_model=search_model) pgconn = await asyncpg.connect(self.conn_str) stmt = await pgconn.prepare(sql) for (file, from_, to_, date, msgid, label, icon, msg) in await stmt.fetch(*injection): row = [file, from_, to_, date, msgid, label, icon, msg] row = ['' if x is None else x for x in row] res = dict() res['fileinfo'] = json.loads(row[0]) res['from'] = row[1] res['to'] = row[2] if row[3]: res['date'] = row[3].strftime('%Y-%m-%d %H:%M:%S') else: res['date'] = '' res['msgid'] = row[4] res['source'] = row[5] if row[5] else row[1] res['icon'] = row[6] res['msg'] = row[7] res['mtype'] = 5 s_result.append(res) await pgconn.close() return s_result async def history_single_file(self, user_id, term, offset=0, limit=5): s_result = list() sql = """SELECT * from ( SELECT unnest(xpath('//body[@msgType="5"]/text()',m_body::xml))::text::json as file, m_from, m_to,create_time as epo, msg_id as msgid from msg_history where m_from = $1 or m_to = $1) as pfx where pfx.file->>'FileName' ~ $2 order by pfx.time desc offset $3 limit $4""" pgconn = await asyncpg.connect(self.conn_str) stmt = await pgconn.prepare(sql) injection = [user_id, term, offset, limit] for (_file, _from, _to, _time, _msgid) in await stmt.fetch(*injection): res = dict() row = [_file, _from, _to, _time, _msgid] row = ['' if x is None else x for x in row] res['file'] = row[0] res['from'] = row[1] res['to'] = row[2] res['time'] = row[3] res['msgid'] = row[4] res['domain'] = domain res['chattype'] = 'chat' # chat groupchat s_result.append(res) # TODO SORT!!!! await pgconn.close() sql_logger.debug('FILE SINGLE RESULT {}'.format(s_result)) return s_result async def history_muc_file(self, user_id, term, muc_list, offset=0, limit=5): s_result = list() sql = """SELECT * from ( SELECT unnest(xpath('//body[@msgType="5"]/text()',packet::xml))::text::json as file, nick, muc_room_name, create_time as time from muc_room_history where muc_room_name in $1 ) as pfx where pfx.file->>'FileName' ~ $2 order by pfx.time desc offset $3 limit $4""" pgconn = await asyncpg.connect(self.conn_str) stmt = await pgconn.prepare(sql) injection = [muc_list, term, offset, limit] for (_file, _from, _to, _time, _msgid) in await stmt.fetch(*injection): res = dict() row = [_file, _from, _to, _time, _msgid] row = ['' if x is None else x for x in row] res['file'] = row[0] res['from'] = row[1] res['to'] = row[2] res['time'] = row[3] res['msgid'] = row[4] res['domain'] = domain res['chattype'] = 'groupchat' # chat groupchat s_result.append(res) # TODO SORT!!!! await pgconn.close() sql_logger.debug('FILE MUC RESULT {}'.format(s_result)) return s_result async def get_mucs_info(self, muc): result = {} if '@' not in muc: muc = muc + '@' + conference_str sql = """select show_name,muc_pic from muc_vcard_info where muc_name = $1""" pgconn = await asyncpg.connect(self.conn_str) stmt = await pgconn.prepare(sql) injection = [muc] for (muc_name, pic) in await stmt.fetch(*injection): row = [muc_name, pic] row = ['' if x is None else x for x in row] result['show_name'] = row[0] result['muc_pic'] = row[1] # TODO SORT!!!! await pgconn.close() return result async def get_person_info(self, person): result = {} if '@' in person: person = person.split('@')[0] sql = """ select a.user_name,b.url from host_users a join vcard_version b on a.user_id = $1 and a.user_id = b.username;""" pgconn = await asyncpg.connect(self.conn_str) stmt = await pgconn.prepare(sql) injection = [person] for (name, pic) in await stmt.fetch(*injection): row = [name, pic] row = ['' if x is None else x for x in row] result['show_name'] = row[0] result['url'] = row[1] # TODO SORT!!!! await pgconn.close() return result @staticmethod def sort_by_habit(data, habit, name_key, search_key=''): if not data: return [] if not name_key: sql_logger.warning("NO NAME_KEY FOUND :{}".format(data)) if not isinstance(data, list): sql_logger.error("DATA NOT A LIST :{data}".format(data=data)) return data if not isinstance(habit, (set, list)): sql_logger.error("HABIT NOT A LIST :{habit}".format(habit=habit)) return data # 取出result里所有的相关字段组成list name_list = [x[name_key] for x in data] for _h in habit[::-1]: # for _h in habit[::-1]: # sql_logger.info("name_list {},\n origin data {},\n habit {}".format(name_list, data, habit[::-1])) # if search_key: # if search_key in _h and _h not in name_list: # sql_logger.warning("SHOULD ADD {} TO KEY {} RESULT {}".format(_h, search_key, data)) # if name_key == '' # 如果habit里的人/群组在结果集里，放在第一个 if _h in name_list and name_list.index(_h) != 0: _t = data.pop(name_list.index(_h)) data = [_t] + data _t = data.pop([x.get('uri') for x in data].index(_h)) data = [_t] + data # data.remove(_) # data = [_] + data return data @staticmethod def handle_sql_result(data): result = {} for hit in data: a = hit['conversation'].split('_')[0] b = hit['conversation'].split('_')[1] conv = sorted([a, b])[0] + '_' + sorted([a, b])[1] if conv in result.keys(): _temp = result[conv] if _temp['id'] > hit['id']: result[conv]['count'] += hit['count'] else: result[conv] = hit result[conv]['count'] += _temp['count'] else: result[conv] = hit result = sorted(list(result.values()), key=lambda x: x.get('id')) return result @staticmethod def make_common_sql(keys, origin=True, common=True, habit_tag=False): """ origin代表搜群名、群id common代表搜群内成员 habit_tag代表从缓存里搜索群内成员，所以有特定的组范围，sql有所不同 :param keys: :param origin: :param common: :param habit_tag: :return: """ sql = "" if common: if not keys: return case_pattern = [] union_pattern = [] key_len = len(keys) for i, k in enumerate(keys): case_pattern.append( """SELECT ${i}, user_id FROM host_users WHERE hire_flag = 1 AND user_id != ${searcher_index} AND ( user_id ilike ${i} OR user_name {search_model} ${i} OR pinyin ilike ${i} ) AND host_id = ANY(SELECT id FROM host_info WHERE host = ${searcher_domain_index})""".format( i=i + 1, searcher_index='{searcher_index}', search_model='{search_model}', searcher_domain_index='{searcher_domain_index}')) union_pattern.append("""SELECT a.muc_name|| '@' || a.domain as muc_name, string_agg(a.username||'@'||a.host, '|') as hit, max(a.created_at) as time FROM user_register_mucs a JOIN tmp2 b ON a.muc_name = b.muc_name WHERE username IN (select user_id from tmp where key = ${i}) and a.registed_flag != 0 AND a.domain = 'conference.' || ${searcher_domain_index} group by a.muc_name || '@' || a.domain""".format(i=i + 1, searcher_domain_index='{searcher_domain_index}')) # keys 对应 $1 ... ${len(keys)} # 之后是searcher_index 序号为len + 1 # 然后是群组字符串 len + 2 # 然后是offset len + 3 # limit len + 4 # 排除在 len + 5 # 名字查询的key 在 len + 6 # domain 在 len + 7 if habit_tag and common: sql = """ WITH tmp (key, user_id) AS ( {keys_pattern} ), tmp2 (muc_name, domain, created_at) AS ( SELECT split_part(muc_name || '@' || domain,'@',1) ,split_part(muc_name || '@' || domain,'@',2), max(created_at) as created_at FROM user_register_mucs WHERE username = ${searcher_index} AND host = ${searcher_domain_index} AND registed_flag != 0 AND muc_name = ANY(${exclude}) AND domain = 'conference.' || ${searcher_domain_index} GROUP BY muc_name || '@' || domain ) SELECT aa.mucname, split_part(bb.muc_name, '@', 2) AS domain, bb.show_name, bb.muc_title, bb.muc_pic, aa.tag FROM ( SELECT mucname, tag from ( SELECT muc_name AS mucname, array_agg(hit) AS tag FROM ( {select_pattern} ) foo GROUP BY muc_name HAVING COUNT(muc_name) = {length} ) boo ) aa JOIN muc_vcard_info bb ON (aa.mucname) = bb.muc_name offset ${offset} limit ${limit}""".format( # keys_pattern=' union all '.join(case_pattern), # select_pattern=' union all '.join(union_pattern), # length=key_len, conference_str_index=key_len + 2, offset=key_len + 3, # limit=key_len + 4, exclude=key_len + 5, searcher_index=key_len + 1, searcher_domain_index=key_len + 6,search_model='{search_model}') keys_pattern=' union all '.join(case_pattern), select_pattern=' union all '.join(union_pattern), searcher_index='{searcher_index}', searcher_domain_index='{searcher_domain_index}', length=key_len, offset=key_len + 2, limit=key_len + 3, exclude=key_len + 4).format(searcher_index=key_len + 1, searcher_domain_index=key_len + 5, search_model='{search_model}') return sql if origin and common: # format 填空 sql = """ WITH tmp (key, user_id) AS ( {keys_pattern} ), tmp2 (muc_name, domain, created_at) AS ( SELECT split_part(muc_name || '@' || domain,'@',1) ,split_part(muc_name || '@' || domain,'@',2), max(created_at) as created_at FROM user_register_mucs WHERE username = ${searcher_index} AND host = ${searcher_domain_index} AND registed_flag != 0 AND muc_name <> ALL (${exclude}) AND domain = 'conference.' || ${searcher_domain_index} GROUP BY muc_name || '@' || domain ) SELECT aa.mucname, split_part(bb.muc_name, '@', 2) AS domain, bb.show_name, bb.muc_title, bb.muc_pic, aa.tag FROM ( SELECT mucname, array_agg(tag) AS tag, MAX(time) as time FROM( SELECT mucname, tag, time from ( SELECT muc_name AS mucname, array_agg(hit) AS tag, max(time) as time FROM ( {select_pattern} ) foo GROUP BY muc_name HAVING COUNT(muc_name) = {length} ) boo union all select a.muc_name|| '@' || a.domain as muccname, array[''] as hit, a.created_at as time from tmp2 a join muc_vcard_info b on concat(a.muc_name, '@', a.domain) = b.muc_name where (b.show_name {search_model} ${like_key} or b.muc_name ilike ${like_key}) ) poo GROUP BY mucname ) aa JOIN muc_vcard_info bb ON aa.mucname = bb.muc_name ORDER BY time DESC OFFSET ${offset} LIMIT ${limit}""".format( # keys_pattern=' union all '.join(case_pattern), # select_pattern=' union all '.join(union_pattern), # searcher_index=key_len + 1, length=key_len, conference_str_index=key_len + 2, offset=key_len + 3, # limit=key_len + 4, exclude=key_len + 5, like_key=key_len + 6, searcher_domain_index=key_len + 7, # search_model='{search_model}') keys_pattern=' union all '.join(case_pattern), select_pattern=' union all '.join(union_pattern), searcher_index='{searcher_index}', length=key_len, offset=key_len + 2, limit=key_len + 3, exclude=key_len + 4, like_key='{like_key}', searcher_domain_index='{searcher_domain_index}', search_model='{search_model}').format( searcher_index=key_len + 1, like_key=key_len + 5, search_model='{search_model}', searcher_domain_index=key_len + 6) elif common and not origin: sql = """ WITH tmp (key, user_id) AS ( {keys_pattern} ), tmp2 (muc_name, domain, created_at) AS ( SELECT split_part(muc_name || '@' || domain,'@',1) ,split_part(muc_name || '@' || domain,'@',2), max(created_at) as created_at FROM user_register_mucs WHERE username = ${searcher_index} AND host = ${searcher_domain_index} AND registed_flag != 0 AND muc_name <> ALL (${exclude}) AND domain = 'conference.' || ${searcher_domain_index} GROUP BY muc_name || '@' || domain ) SELECT aa.mucname, split_part(bb.muc_name, '@', 2) AS domain, bb.show_name, bb.muc_title, bb.muc_pic, aa.tag FROM ( SELECT mucname, tag, time from ( SELECT muc_name AS mucname, array_agg(hit) AS tag, max(time) as time FROM ( {select_pattern} ) foo GROUP BY muc_name HAVING COUNT(muc_name) = {length} ) boo ) aa JOIN muc_vcard_info bb ON aa.mucname = bb.muc_name ORDER BY time DESC offset ${offset} limit ${limit}""".format( # keys_pattern=' union all '.join(case_pattern), # select_pattern=' union all '.join(union_pattern), # length=key_len, conference_str_index=key_len + 2, offset=key_len + 3, # limit=key_len + 4, exclude=key_len + 5, searcher_index=key_len + 1, searcher_domain_index=key_len + 6, # search_model='{search_model}') keys_pattern=' union all '.join(case_pattern), select_pattern=' union all '.join(union_pattern), searcher_index='{searcher_index}', searcher_domain_index='{searcher_domain_index}', length=key_len, offset=key_len + 2, limit=key_len + 3, exclude=key_len + 4).format(searcher_index=key_len + 1, searcher_domain_index=key_len + 5, search_model='{search_model}') elif not common and origin: sql = """SELECT b.muc_name as mucname, split_part(b.muc_name,'@',2) as domain, b.show_name, b.muc_title, b.muc_pic, array[''] FROM user_register_mucs as a left join muc_vcard_info as b ON concat(a.muc_name, '@', a.domain) = b.muc_name WHERE a.registed_flag != 0 and a.username = $1 and (b.show_name {search_model} $2 or b.muc_name ~ $2) and b.muc_name <> ALL ($5) AND a.host = $6 order by b.update_time desc limit $3 offset $4""" return sql if DB_VERSION is None: domain = '' __user_lib = UserLib() DB_VERSION = __user_lib.get_db_version() domain = __user_lib.get_domain() if len(domain) == 1: domain = domain[0] conference_str = 'conference.' + domain else: conference_str = {} for d in domain: conference_str[d] = 'conference.' + d __user_lib.conn.close() sql_logger.info('PGSQL VERSION : {}'.format(DB_VERSION)) # 判断数据库能否async if if_async is None: if_async = False if PY_VERSION and isinstance(PY_VERSION, str): if not PY_VERSION.startswith('3') or int(PY_VERSION.split('.')[1]) < 5: sql_logger.warning("UNSATISFIED PYTHON VERSION {}".format(PY_VERSION)) else: if DB_VERSION and isinstance(DB_VERSION, str): if int(DB_VERSION.split('.')[0]) < 9 or int(DB_VERSION.split('.')[0]) > 10: sql_logger.warning("UNSATISFIED PSQL VERSION {}".format(DB_VERSION)) else: if_async = True if if_async == None: sql_logger.error("asyncpg module work in wrong environment") raise ConnectionError("asyncpg module work in wrong environment") sql_logger.info('USE ASYNC : {}'.format(if_async == True))

50.722317

763

0.50172

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0.02603

0.019503

0.010826

0.011928

0.921041

0.90466

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0

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0.384943

147,957

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764

50.739712

0.756972

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false

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null

0

1

0

1

0

null

0

7

86fe33cd8857890f8e4a788280e9599b12ece0f5

11,428

py

Python

tests/test_us/tests.py

MehdioKhan/django-localflavor

7cb223bf801ebc7659cc314a8a870e47e5004488

[ "BSD-3-Clause" ]

1

2018-11-28T22:08:17.000Z

tests/test_us/tests.py

DalavanCloud/django-localflavor

b78df3bbfa5e07e3f6b78a09d43c45eb39fa1196

[ "BSD-3-Clause" ]

null

tests/test_us/tests.py

DalavanCloud/django-localflavor

b78df3bbfa5e07e3f6b78a09d43c45eb39fa1196

[ "BSD-3-Clause" ]

null

from __future__ import unicode_literals from django.test import TestCase from localflavor.us import forms from .forms import USPlaceForm class USLocalFlavorTests(TestCase): def setUp(self): self.form = USPlaceForm({ 'state': 'GA', 'state_req': 'NC', 'postal_code': 'GA', 'name': 'impossible', 'zip_code': '12345', }) def test_get_display_methods(self): """Test that the get_*_display() methods are added to the model instances.""" place = self.form.save() self.assertEqual(place.get_state_display(), 'Georgia') self.assertEqual(place.get_state_req_display(), 'North Carolina') def test_required(self): """Test that required USStateFields throw appropriate errors.""" form = USPlaceForm({'state': 'GA', 'name': 'Place in GA'}) self.assertFalse(form.is_valid()) self.assertEqual(form.errors['state_req'], ['This field is required.']) def test_errors(self): form = USPlaceForm({ 'state': 'invalid', 'state_req': 'invalid', 'postal_code': 'invalid', 'name': 'name', 'ssn': 'invalid', 'zip_code': 'invalid' }) self.assertFalse(form.is_valid()) choice_messages = ['Select a valid choice. invalid is not one of the available choices.'] self.assertEqual(form.errors['state'], choice_messages) self.assertEqual(form.errors['state_req'], choice_messages) self.assertEqual(form.errors['postal_code'], choice_messages) self.assertEqual(form.errors['ssn'], ['Enter a valid U.S. Social Security number in XXX-XX-XXXX format.']) self.assertEqual(form.errors['zip_code'], ['Enter a zip code in the format XXXXX or XXXXX-XXXX.']) def test_field_blank_option(self): """Test that the empty option is there.""" state_select_html = """\ <select name="state" id="id_state"> <option value="">---------</option> <option value="AL">Alabama</option> <option value="AK">Alaska</option> <option value="AS">American Samoa</option> <option value="AZ">Arizona</option> <option value="AR">Arkansas</option> <option value="AA">Armed Forces Americas</option> <option value="AE">Armed Forces Europe</option> <option value="AP">Armed Forces Pacific</option> <option value="CA">California</option> <option value="CO">Colorado</option> <option value="CT">Connecticut</option> <option value="DE">Delaware</option> <option value="DC">District of Columbia</option> <option value="FL">Florida</option> <option value="GA" selected="selected">Georgia</option> <option value="GU">Guam</option> <option value="HI">Hawaii</option> <option value="ID">Idaho</option> <option value="IL">Illinois</option> <option value="IN">Indiana</option> <option value="IA">Iowa</option> <option value="KS">Kansas</option> <option value="KY">Kentucky</option> <option value="LA">Louisiana</option> <option value="ME">Maine</option> <option value="MD">Maryland</option> <option value="MA">Massachusetts</option> <option value="MI">Michigan</option> <option value="MN">Minnesota</option> <option value="MS">Mississippi</option> <option value="MO">Missouri</option> <option value="MT">Montana</option> <option value="NE">Nebraska</option> <option value="NV">Nevada</option> <option value="NH">New Hampshire</option> <option value="NJ">New Jersey</option> <option value="NM">New Mexico</option> <option value="NY">New York</option> <option value="NC">North Carolina</option> <option value="ND">North Dakota</option> <option value="MP">Northern Mariana Islands</option> <option value="OH">Ohio</option> <option value="OK">Oklahoma</option> <option value="OR">Oregon</option> <option value="PA">Pennsylvania</option> <option value="PR">Puerto Rico</option> <option value="RI">Rhode Island</option> <option value="SC">South Carolina</option> <option value="SD">South Dakota</option> <option value="TN">Tennessee</option> <option value="TX">Texas</option> <option value="UT">Utah</option> <option value="VT">Vermont</option> <option value="VI">Virgin Islands</option> <option value="VA">Virginia</option> <option value="WA">Washington</option> <option value="WV">West Virginia</option> <option value="WI">Wisconsin</option> <option value="WY">Wyoming</option> </select>""" self.assertHTMLEqual(str(self.form['state']), state_select_html) def test_full_postal_code_list(self): """Test that the full USPS code field is really the full list.""" usps_select_html = """\ <select name="postal_code" id="id_postal_code"> <option value="">---------</option> <option value="AL">Alabama</option> <option value="AK">Alaska</option> <option value="AS">American Samoa</option> <option value="AZ">Arizona</option> <option value="AR">Arkansas</option> <option value="AA">Armed Forces Americas</option> <option value="AE">Armed Forces Europe</option> <option value="AP">Armed Forces Pacific</option> <option value="CA">California</option> <option value="CO">Colorado</option> <option value="CT">Connecticut</option> <option value="DE">Delaware</option> <option value="DC">District of Columbia</option> <option value="FM">Federated States of Micronesia</option> <option value="FL">Florida</option> <option value="GA" selected="selected">Georgia</option> <option value="GU">Guam</option> <option value="HI">Hawaii</option> <option value="ID">Idaho</option> <option value="IL">Illinois</option> <option value="IN">Indiana</option> <option value="IA">Iowa</option> <option value="KS">Kansas</option> <option value="KY">Kentucky</option> <option value="LA">Louisiana</option> <option value="ME">Maine</option> <option value="MH">Marshall Islands</option> <option value="MD">Maryland</option> <option value="MA">Massachusetts</option> <option value="MI">Michigan</option> <option value="MN">Minnesota</option> <option value="MS">Mississippi</option> <option value="MO">Missouri</option> <option value="MT">Montana</option> <option value="NE">Nebraska</option> <option value="NV">Nevada</option> <option value="NH">New Hampshire</option> <option value="NJ">New Jersey</option> <option value="NM">New Mexico</option> <option value="NY">New York</option> <option value="NC">North Carolina</option> <option value="ND">North Dakota</option> <option value="MP">Northern Mariana Islands</option> <option value="OH">Ohio</option> <option value="OK">Oklahoma</option> <option value="OR">Oregon</option> <option value="PW">Palau</option> <option value="PA">Pennsylvania</option> <option value="PR">Puerto Rico</option> <option value="RI">Rhode Island</option> <option value="SC">South Carolina</option> <option value="SD">South Dakota</option> <option value="TN">Tennessee</option> <option value="TX">Texas</option> <option value="UT">Utah</option> <option value="VT">Vermont</option> <option value="VI">Virgin Islands</option> <option value="VA">Virginia</option> <option value="WA">Washington</option> <option value="WV">West Virginia</option> <option value="WI">Wisconsin</option> <option value="WY">Wyoming</option> </select>""" self.assertHTMLEqual(str(self.form['postal_code']), usps_select_html) def test_USStateSelect(self): f = forms.USStateSelect() out = '''<select name="state"> <option value="AL">Alabama</option> <option value="AK">Alaska</option> <option value="AS">American Samoa</option> <option value="AZ">Arizona</option> <option value="AR">Arkansas</option> <option value="AA">Armed Forces Americas</option> <option value="AE">Armed Forces Europe</option> <option value="AP">Armed Forces Pacific</option> <option value="CA">California</option> <option value="CO">Colorado</option> <option value="CT">Connecticut</option> <option value="DE">Delaware</option> <option value="DC">District of Columbia</option> <option value="FL">Florida</option> <option value="GA">Georgia</option> <option value="GU">Guam</option> <option value="HI">Hawaii</option> <option value="ID">Idaho</option> <option value="IL" selected="selected">Illinois</option> <option value="IN">Indiana</option> <option value="IA">Iowa</option> <option value="KS">Kansas</option> <option value="KY">Kentucky</option> <option value="LA">Louisiana</option> <option value="ME">Maine</option> <option value="MD">Maryland</option> <option value="MA">Massachusetts</option> <option value="MI">Michigan</option> <option value="MN">Minnesota</option> <option value="MS">Mississippi</option> <option value="MO">Missouri</option> <option value="MT">Montana</option> <option value="NE">Nebraska</option> <option value="NV">Nevada</option> <option value="NH">New Hampshire</option> <option value="NJ">New Jersey</option> <option value="NM">New Mexico</option> <option value="NY">New York</option> <option value="NC">North Carolina</option> <option value="ND">North Dakota</option> <option value="MP">Northern Mariana Islands</option> <option value="OH">Ohio</option> <option value="OK">Oklahoma</option> <option value="OR">Oregon</option> <option value="PA">Pennsylvania</option> <option value="PR">Puerto Rico</option> <option value="RI">Rhode Island</option> <option value="SC">South Carolina</option> <option value="SD">South Dakota</option> <option value="TN">Tennessee</option> <option value="TX">Texas</option> <option value="UT">Utah</option> <option value="VT">Vermont</option> <option value="VI">Virgin Islands</option> <option value="VA">Virginia</option> <option value="WA">Washington</option> <option value="WV">West Virginia</option> <option value="WI">Wisconsin</option> <option value="WY">Wyoming</option> </select>''' self.assertHTMLEqual(f.render('state', 'IL'), out) def test_USZipCodeField(self): error_format = ['Enter a zip code in the format XXXXX or XXXXX-XXXX.'] valid = { '60606': '60606', 60606: '60606', '04000': '04000', ' 04000 ': '04000', '60606-1234': '60606-1234', } invalid = { '4000': error_format, '6060-1234': error_format, '60606-': error_format, } self.assertFieldOutput(forms.USZipCodeField, valid, invalid) def test_USZipCodeField_formfield(self): """Test that the full US ZIP code field is really the full list.""" self.assertHTMLEqual(str(self.form['zip_code']), '<input id="id_zip_code" maxlength="10" name="zip_code" type="text" value="12345" />') def test_USStateField(self): error_invalid = ['Enter a U.S. state or territory.'] valid = { 'il': 'IL', 'IL': 'IL', 'illinois': 'IL', ' illinois ': 'IL', } invalid = { 60606: error_invalid, } self.assertFieldOutput(forms.USStateField, valid, invalid) def test_USSocialSecurityNumberField(self): error_invalid = ['Enter a valid U.S. Social Security number in XXX-XX-XXXX format.'] valid = { '123-45-6789': '123-45-6789', '123456789': '123-45-6789', } invalid = { '078-05-1120': error_invalid, '078051120': error_invalid, '900-12-3456': error_invalid, '900123456': error_invalid, '999-98-7652': error_invalid, '999987652': error_invalid, } self.assertFieldOutput(forms.USSocialSecurityNumberField, valid, invalid)

37.84106

115

0.676146

1,467

11,428

5.215406

0.174506

0.261665

0.397726

0.021958

0.774931

0.733107

0.712456

0.705137

0

0.018579

0.142807

11,428

301

116

37.966777

0.762454

0.025289

0

0.691756

0

0.003584

0.733105

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0.060932

1

0.039427

false

0

0.014337

0

0.057348

0

null

1

0

1

0

1

0

null

0

8

8102d916c7417017126a5788f222b57c087c9f8d

113

py

Python

stockzie/strategy/__init__.py

amozie/amozie

fb7c16ce537bc5567f9c87cfc22c564a4dffc4ef

[ "Apache-2.0" ]

null

stockzie/strategy/__init__.py

amozie/amozie

fb7c16ce537bc5567f9c87cfc22c564a4dffc4ef

[ "Apache-2.0" ]

null

stockzie/strategy/__init__.py

amozie/amozie

fb7c16ce537bc5567f9c87cfc22c564a4dffc4ef

[ "Apache-2.0" ]

null

from stockzie.strategy.BaseStrategy import BaseStrategy from stockzie.strategy.Ma520Strategy import Ma520Strategy

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811277c093dbcf243161bbbf3179b962a83db4b6

3,032

py

Python

tests/unit/actions/conftest.py

mascheck/hcloud-python

ffbfd32418c191676ce7f03a5e384bb123eb904a

[ "MIT" ]

2

2020-12-11T18:09:44.000Z

2020-12-12T05:53:22.000Z

tests/unit/actions/conftest.py

mascheck/hcloud-python

ffbfd32418c191676ce7f03a5e384bb123eb904a

[ "MIT" ]

null

tests/unit/actions/conftest.py

mascheck/hcloud-python

ffbfd32418c191676ce7f03a5e384bb123eb904a

[ "MIT" ]

1

2019-06-19T17:53:10.000Z

import pytest @pytest.fixture() def generic_action_list(): return { "actions": [ { "id": 1, "command": "start_server", "status": "success", "progress": 100, "started": "2016-01-30T23:55:00+00:00", "finished": "2016-01-30T23:56:00+00:00", "resources": [ { "id": 42, "type": "server" } ], "error": { "code": "action_failed", "message": "Action failed" } }, { "id": 2, "command": "stop_server", "status": "success", "progress": 100, "started": "2016-01-30T23:55:00+00:00", "finished": "2016-01-30T23:56:00+00:00", "resources": [ { "id": 42, "type": "server" } ], "error": { "code": "action_failed", "message": "Action failed" } } ] } @pytest.fixture() def running_action(): return { "action": { "id": 2, "command": "stop_server", "status": "running", "progress": 100, "started": "2016-01-30T23:55:00+00:00", "finished": "2016-01-30T23:56:00+00:00", "resources": [ { "id": 42, "type": "server" } ], "error": { "code": "action_failed", "message": "Action failed" } } } @pytest.fixture() def successfully_action(): return { "action": { "id": 2, "command": "stop_server", "status": "success", "progress": 100, "started": "2016-01-30T23:55:00+00:00", "finished": "2016-01-30T23:56:00+00:00", "resources": [ { "id": 42, "type": "server" } ], "error": { "code": "action_failed", "message": "Action failed" } } } @pytest.fixture() def failed_action(): return { "action": { "id": 2, "command": "stop_server", "status": "error", "progress": 100, "started": "2016-01-30T23:55:00+00:00", "finished": "2016-01-30T23:56:00+00:00", "resources": [ { "id": 42, "type": "server" } ], "error": { "code": "action_failed", "message": "Action failed" } } }

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8

814385fa659d6706f57b0a753a9bb46550f4b48c

12,599

py

Python

wBDA.py

chenjiehu/MGCN_ODA

311a71444d6e22d4049d7356c1aa31584857006c

[ "MIT" ]

null

wBDA.py

chenjiehu/MGCN_ODA

311a71444d6e22d4049d7356c1aa31584857006c

[ "MIT" ]

null

wBDA.py

chenjiehu/MGCN_ODA

311a71444d6e22d4049d7356c1aa31584857006c

[ "MIT" ]

null

import torch from sklearn import metrics import sklearn.metrics import numpy as np from predict_A_distance import proxy_a_distance from wMMD import mmd def kernel(ker, X1, X2, gamma): K = None if not ker or ker == 'primal': K = X1 elif ker == 'linear': if X2 is not None: K = sklearn.metrics.pairwise.linear_kernel( np.asarray(X1), np.asarray(X2)) else: K = sklearn.metrics.pairwise.linear_kernel(np.asarray(X1).T) elif ker == 'rbf': if X2 is not None: K = sklearn.metrics.pairwise.rbf_kernel( np.asarray(X1), np.asarray(X2), gamma) else: K = sklearn.metrics.pairwise.rbf_kernel( np.asarray(X1), None, gamma) return K def guassian_kernel(source, target, kernel_mul=2.0, kernel_num=5, fix_sigma=None): n_samples = int(source.size()[0]) + int(target.size()[0]) total = torch.cat([source, target], dim=0) total0 = total.unsqueeze(0).expand(int(total.size(0)), \ int(total.size(0)), \ int(total.size(1))) total1 = total.unsqueeze(1).expand(int(total.size(0)), \ int(total.size(0)), \ int(total.size(1))) L2_distance = ((total0 - total1) ** 2).sum(2) if fix_sigma: bandwidth = fix_sigma else: bandwidth = torch.sum(L2_distance.data) / (n_samples ** 2 - n_samples) bandwidth /= kernel_mul ** (kernel_num // 2) bandwidth_list = [bandwidth * (kernel_mul ** i) for i in range(kernel_num)] kernel_val = [torch.exp(-L2_distance / bandwidth_temp) for \ bandwidth_temp in bandwidth_list] return sum(kernel_val) def wmmd(source, target, target_pred, kernel_mul=2.0, kernel_num=5, fix_sigma=None): length_source = int(source.size()[0]) kernels = guassian_kernel(source, target, kernel_mul=kernel_mul, kernel_num=kernel_num, fix_sigma=fix_sigma) length_pred = int(target_pred.size()[0]) length_target = int(target.size()[0]) loss = 0 if length_pred == length_target: Pi = torch.sum(target_pred) target_pred_matrix = target_pred.unsqueeze(1) Mtt = torch.mm(target_pred_matrix, target_pred_matrix.t())/Pi**2 target_pred_matrix = target_pred.repeat(length_source,1) Mst = (-1/(Pi*length_source))*torch.mul(torch.ones(length_source, length_target).cuda(),target_pred_matrix) Mss = (1/length_source**2)*torch.ones(length_source, length_source).cuda() M1 = torch.cat([Mss,Mst],dim = 1) M2 = torch.cat([Mst.t(),Mtt], dim = 1) M = torch.cat([M1,M2],dim = 0) loss = torch.trace(torch.mm(kernels.float(),M)) return loss #加权BDA算法 def BDA(source, source_label ,target, target_pred_label): loss = 0 length_source = int(source.size()[0]) length_target = int(target.size()[0]) length_common = min(length_source, length_target) length_pred_label = int(target_pred_label.size()[0]) length_source_label = int(source_label.size()[0]) n = length_source + length_target if (length_source == length_source_label) & (length_pred_label == length_target): #首先计算条件分布差异 C = len(np.unique(source_label)) for c in range(C): e = np.zeros((n, 1)) Ns = len(source_label[np.where(source_label == c)]) Nt = len(target_pred_label[np.where(target_pred_label == c)]) if (Nt > 1) & (Ns > 1): tt = source_label == c e[np.where(tt == True)] = 1 / Ns ind = np.where(tt == True) inds_source = [item for item in ind] yy = target_pred_label == c ind = np.where(yy == True) inds_target = [item for item in ind] e[tuple(inds_target)] = -1 / Nt e[np.isinf(e)] = 0 source_c = source[inds_source,:] source_c = np.squeeze(source_c) target_c = target[inds_target,:] target_c = np.squeeze(target_c) loss_c = mmd(source_c,target_c) loss = loss + loss_c #计算边缘分布 loss_B = mmd(source[:length_common], target[:length_common]) loss_all = 1/C*loss + loss_B else: print('imput length eooro!') return loss_all def wBDA(source, source_label ,target, target_pred_label, target_pred_p): loss = 0 mu = 0.1 length_source = int(source.size()[0]) length_target = int(target.size()[0]) length_pred_p = int(target_pred_p.size()[0]) length_pred_label = int(target_pred_label.size()[0]) length_source_label = int(source_label.size()[0]) n = length_source + length_target if (length_source == length_source_label) & (length_pred_label == length_target): C = len(np.unique(source_label)) for c in range(C): e = np.zeros((n, 1)) Ns = len(source_label[np.where(source_label == c)]) Nt = len(target_pred_label[np.where(target_pred_label == c)]) if (Nt > 1) & (Ns > 1): tt = source_label == c e[np.where(tt == True)] = 1 / Ns ind = np.where(tt == True) inds_source = [item for item in ind] yy = target_pred_label == c ind = np.where(yy == True) inds_target = [item for item in ind] e[tuple(inds_target)] = -1 / Nt e[np.isinf(e)] = 0 source_c = source[inds_source,:] source_c = np.squeeze(source_c) target_c = target[inds_target,:] target_c = np.squeeze(target_c) target_pred_c = target_pred_p[inds_target] loss_c = wmmd(source_c,target_c,target_pred_c) loss = loss + loss_c #计算边缘分布 loss_B = wmmd(source, target, target_pred_p) #loss_all = 1/C*loss + loss_B loss_all = (1 - mu) * loss / C + mu * loss_B else: print('imput length eooro!') return loss_all def coral_wBDA(source, source_label ,target, target_pred_label, target_pred_p, coral_W): loss = 0 loss_all = 0 mu = 0.1 length_source = int(source.size()[0]) length_target = int(target.size()[0]) length_pred_p = int(target_pred_p.size()[0]) length_pred_label = int(target_pred_label.size()[0]) length_source_label = int(source_label.size()[0]) n = length_source + length_target if (length_source == length_source_label) & (length_pred_label == length_target): C = len(np.unique(source_label)) if C != coral_W.size(0): coral_W = torch.ones(C) for c in range(C): e = np.zeros((n, 1)) Ns = len(source_label[np.where(source_label == c)]) Nt = len(target_pred_label[np.where(target_pred_label == c)]) if (Nt > 1) & (Ns > 1): tt = source_label == c e[np.where(tt == True)] = 1 / Ns ind = np.where(tt == True) inds_source = [item for item in ind] yy = target_pred_label == c ind = np.where(yy == True) inds_target = [item for item in ind] e[tuple(inds_target)] = -1 / Nt e[np.isinf(e)] = 0 source_c = source[inds_source,:] source_c = np.squeeze(source_c) target_c = target[inds_target,:] target_c = np.squeeze(target_c) target_pred_c = target_pred_p[inds_target] loss_c = wmmd(source_c,target_c,target_pred_c) loss = loss + loss_c * coral_W[c] loss_B = wmmd(source, target, target_pred_p) loss_all = (1-mu) * loss/C + mu * loss_B else: print('imput length error!') return loss_all def coral_wBDA_A_distance(source, source_label ,target, target_pred_label, target_pred_p, coral_W): loss = 0 length_source = int(source.size()[0]) length_target = int(target.size()[0]) length_pred_p = int(target_pred_p.size()[0]) length_pred_label = int(target_pred_label.size()[0]) length_source_label = int(source_label.size()[0]) n = length_source + length_target dc = 0 if (length_source == length_source_label) & (length_pred_label == length_target): C = len(np.unique(source_label)) if C != coral_W.size(0): coral_W = torch.ones(C) for c in range(C): e = np.zeros((n, 1)) Ns = len(source_label[np.where(source_label == c)]) Nt = len(target_pred_label[np.where(target_pred_label == c)]) if (Nt > 1) & (Ns > 1): tt = source_label == c e[np.where(tt == True)] = 1 / Ns ind = np.where(tt == True) inds_source = [item for item in ind] yy = target_pred_label == c ind = np.where(yy == True) inds_target = [item for item in ind] e[tuple(inds_target)] = -1 / Nt e[np.isinf(e)] = 0 source_c = source[inds_source,:] source_c = np.squeeze(source_c) target_c = target[inds_target,:] target_c = np.squeeze(target_c) target_pred_c = target_pred_p[inds_target] loss_c = wmmd(source_c,target_c,target_pred_c) dc = dc + proxy_a_distance(source_c.cpu().detach().numpy(), target_c.cpu().detach().numpy()) loss = loss + loss_c * coral_W[c] loss_B = wmmd(source, target, target_pred_p) dm = proxy_a_distance(source.cpu().detach().numpy(),target.cpu().detach().numpy()) mu = 1 - dm/(dm+dc) loss_all = (1-mu)*1/C*loss + mu*loss_B loss_all = 1.6 * loss_all else: print('imput length eooro!') return loss_all def aifa_wBDA_A_distance(source, source_label ,target, target_pred_label, target_pred_p, coral_W): loss = 0 length_source = int(source.size()[0]) length_target = int(target.size()[0]) length_pred_p = int(target_pred_p.size()[0]) length_pred_label = int(target_pred_label.size()[0]) length_source_label = int(source_label.size()[0]) n = length_source + length_target dc = 0 if (length_source == length_source_label) & (length_pred_label == length_target): C = len(np.unique(source_label)) if C != coral_W.size(0): coral_W = torch.ones(C) for c in range(C): e = np.zeros((n, 1)) Ns = len(source_label[np.where(source_label == c)]) Nt = len(target_pred_label[np.where(target_pred_label == c)]) if (Nt > 1) & (Ns > 1): tt = source_label == c e[np.where(tt == True)] = 1 / Ns ind = np.where(tt == True) inds_source = [item for item in ind] yy = target_pred_label == c ind = np.where(yy == True) inds_target = [item for item in ind] e[tuple(inds_target)] = -1 / Nt e[np.isinf(e)] = 0 source_c = source[inds_source,:] source_c = np.squeeze(source_c) target_c = target[inds_target,:] target_c = np.squeeze(target_c) target_pred_c = target_pred_p[inds_target] loss_c = wmmd(source_c,target_c,target_pred_c) dc = dc + proxy_a_distance(source_c.cpu().detach().numpy(), target_c.cpu().detach().numpy()) loss = loss + loss_c * coral_W[c] loss_B = wmmd(source, target, target_pred_p) dm = proxy_a_distance(source.cpu().detach().numpy(),target.cpu().detach().numpy()) mu = 1 - dm/(dm+dc) loss_all = (1-mu)*1/C*loss + mu*loss_B loss_all = 1.6 * loss_all else: print('imput length eooro!') return loss_all if __name__ == "__main__": import numpy as np p1 = 1 * torch.ones(40) p2 = 0.5 * torch.ones(60) p = torch.cat([p1,p2]) source_label = torch.tensor([1,1]) target_label = torch.tensor([1,0,1]) target_pred = torch.tensor([0.3,0.6,0.1]).cuda() data_1 = torch.tensor(np.random.normal(0, 10, (2, 50))).cuda() data_2 = torch.tensor(np.random.normal(5, 10, (3, 50))).cuda() loss_mmd = wmmd(data_1, data_2, target_pred)

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null

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7

d4b4820fbe9a213a29610ac7f91fb7bf016a4e6c

9,019

py

Python

dbaas/workflow/steps/mysql/flipperfox_migration/acl_database_bind.py

jaeko44/python_dbaas

4fafa4ad70200fec1436c326c751761922ec9fa8

[ "BSD-3-Clause" ]

null

dbaas/workflow/steps/mysql/flipperfox_migration/acl_database_bind.py

jaeko44/python_dbaas

4fafa4ad70200fec1436c326c751761922ec9fa8

[ "BSD-3-Clause" ]

null

dbaas/workflow/steps/mysql/flipperfox_migration/acl_database_bind.py

jaeko44/python_dbaas

4fafa4ad70200fec1436c326c751761922ec9fa8

[ "BSD-3-Clause" ]

1

2017-07-02T08:46:17.000Z

# -*- coding: utf-8 -*- import logging from util import full_stack from util import get_credentials_for from workflow.steps.util.base import BaseStep from workflow.exceptions.error_codes import DBAAS_0020 from dbaas_credentials.models import CredentialType from dbaas_cloudstack.models import DatabaseInfraAttr from dbaas_aclapi.models import DatabaseInfraInstanceBind from dbaas_aclapi.acl_base_client import AclClient from dbaas_aclapi import helpers from dbaas_aclapi.models import ERROR LOG = logging.getLogger(__name__) class BindNewInstances(BaseStep): def __unicode__(self): return "Binding new instances ..." def do(self, workflow_dict): try: database = workflow_dict['database'] databaseinfra = workflow_dict['databaseinfra'] acl_credential = get_credentials_for(environment=database.environment, credential_type=CredentialType.ACLAPI) acl_client = AclClient(acl_credential.endpoint, acl_credential.user, acl_credential.password, database.environment) instances = databaseinfra.instances.filter( future_instance__isnull=True) databaseinfra_vips = databaseinfra.vip_databaseinfra.all() instance_address_list = [] for instance in instances: instance_address_list.append(instance.address) for vip in databaseinfra_vips: instance_address_list.append(vip.vip_ip) for database_bind in database.acl_binds.all(): if helpers.bind_address(database_bind=database_bind, acl_client=acl_client, instances=instances, infra_attr_instances=[], infra_vips=databaseinfra_vips): continue else: LOG.error("The AclApi is not working properly.") database_bind.bind_status = ERROR database_bind.save() DatabaseInfraInstanceBind.objects.filter(databaseinfra=databaseinfra, bind_address=database_bind.bind_address, instance__in=instance_address_list ).update(bind_status=ERROR) return True except Exception: traceback = full_stack() workflow_dict['exceptions']['error_codes'].append(DBAAS_0020) workflow_dict['exceptions']['traceback'].append(traceback) return False def undo(self, workflow_dict): LOG.info("Running undo...") try: database = workflow_dict['database'] databaseinfra = workflow_dict['databaseinfra'] acl_credential = get_credentials_for(environment=database.environment, credential_type=CredentialType.ACLAPI) acl_client = AclClient(acl_credential.endpoint, acl_credential.user, acl_credential.password, database.environment) instances = databaseinfra.instances.filter( future_instance__isnull=True) databaseinfra_vips = databaseinfra.vip_databaseinfra.all() instance_address_list = [] for instance in instances: instance_address_list.append(instance.address) for vip in databaseinfra_vips: instance_address_list.append(vip.vip_ip) for database_bind in database.acl_binds.all(): infra_instances_binds = DatabaseInfraInstanceBind.objects.filter( databaseinfra=databaseinfra, instance__in=instance_address_list, bind_address=database_bind.bind_address) if helpers.unbind_address( database_bind, acl_client, infra_instances_binds, False ): continue return True except Exception: traceback = full_stack() workflow_dict['exceptions']['error_codes'].append(DBAAS_0020) workflow_dict['exceptions']['traceback'].append(traceback) return False class UnbindOldInstances(BaseStep): def __unicode__(self): return "Unbinding old instances ..." def do(self, workflow_dict): try: database = workflow_dict['database'] databaseinfra = workflow_dict['databaseinfra'] acl_credential = get_credentials_for(environment=database.environment, credential_type=CredentialType.ACLAPI) acl_client = AclClient(acl_credential.endpoint, acl_credential.user, acl_credential.password, database.environment) instances = databaseinfra.instances.filter( future_instance__isnull=False) databaseinfraattr_instances = DatabaseInfraAttr.objects.filter(databaseinfra=databaseinfra, equivalent_dbinfraattr__isnull=False) instance_address_list = [] for instance in instances: instance_address_list.append(instance.address) for instance in databaseinfraattr_instances: instance_address_list.append(instance.ip) for database_bind in database.acl_binds.all(): infra_instances_binds = DatabaseInfraInstanceBind.objects.filter( databaseinfra=databaseinfra, instance__in=instance_address_list, bind_address=database_bind.bind_address) if helpers.unbind_address( database_bind, acl_client, infra_instances_binds, False ): continue return True except Exception: traceback = full_stack() workflow_dict['exceptions']['error_codes'].append(DBAAS_0020) workflow_dict['exceptions']['traceback'].append(traceback) return False def undo(self, workflow_dict): LOG.info("Running undo...") try: database = workflow_dict['database'] databaseinfra = workflow_dict['databaseinfra'] acl_credential = get_credentials_for(environment=database.environment, credential_type=CredentialType.ACLAPI) acl_client = AclClient(acl_credential.endpoint, acl_credential.user, acl_credential.password, database.environment) instances = databaseinfra.instances.filter( future_instance__isnull=False) databaseinfraattr_instances = DatabaseInfraAttr.objects.filter(databaseinfra=databaseinfra, equivalent_dbinfraattr__isnull=False) instance_address_list = [] for instance in instances: instance_address_list.append(instance.address) for instance in databaseinfraattr_instances: instance_address_list.append(instance.ip) for database_bind in database.acl_binds.all(): if helpers.bind_address(database_bind=database_bind, acl_client=acl_client, instances=instances, infra_attr_instances=databaseinfraattr_instances, infra_vips=[]): continue else: LOG.error("The AclApi is not working properly.") database_bind.bind_status = ERROR database_bind.save() DatabaseInfraInstanceBind.objects.filter(databaseinfra=databaseinfra, bind_address=database_bind.bind_address, instance__in=instance_address_list ).update(bind_status=ERROR) return True except Exception: traceback = full_stack() workflow_dict['exceptions']['error_codes'].append(DBAAS_0020) workflow_dict['exceptions']['traceback'].append(traceback) return False

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1

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7

be0a5ece4a96c29e5806b7110928eb7eed866a04

65,341

py

Python

airavata-api/airavata-client-sdks/airavata-python-sdk/airavata/service/profile/tenant/cpi/TenantProfileService.py

docquantum/airavata

4ec5fa0aab1b75ca1e98a16648c57cd8abdb4b9c

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

74

2015-04-10T02:57:26.000Z

2022-02-28T16:10:03.000Z

airavata-api/airavata-client-sdks/airavata-python-sdk/airavata/service/profile/tenant/cpi/TenantProfileService.py

docquantum/airavata

4ec5fa0aab1b75ca1e98a16648c57cd8abdb4b9c

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

126

2015-04-26T02:55:26.000Z

2022-02-16T22:43:28.000Z

airavata-api/airavata-client-sdks/airavata-python-sdk/airavata/service/profile/tenant/cpi/TenantProfileService.py

docquantum/airavata

4ec5fa0aab1b75ca1e98a16648c57cd8abdb4b9c

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

163

2015-01-22T14:05:24.000Z

2022-03-17T12:24:34.000Z

# # 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 airavata.base.api.BaseAPI import logging from .ttypes import * from thrift.Thrift import TProcessor from thrift.transport import TTransport class Iface(airavata.base.api.BaseAPI.Iface): def addGateway(self, authzToken, gateway): """ Return the airavataInternalGatewayId assigned to given gateway. Parameters: - authzToken - gateway """ pass def updateGateway(self, authzToken, updatedGateway): """ Parameters: - authzToken - updatedGateway """ pass def getGateway(self, authzToken, airavataInternalGatewayId): """ Parameters: - authzToken - airavataInternalGatewayId """ pass def deleteGateway(self, authzToken, airavataInternalGatewayId, gatewayId): """ Parameters: - authzToken - airavataInternalGatewayId - gatewayId """ pass def getAllGateways(self, authzToken): """ Parameters: - authzToken """ pass def isGatewayExist(self, authzToken, gatewayId): """ Parameters: - authzToken - gatewayId """ pass def getAllGatewaysForUser(self, authzToken, requesterUsername): """ Parameters: - authzToken - requesterUsername """ pass class Client(airavata.base.api.BaseAPI.Client, Iface): def __init__(self, iprot, oprot=None): airavata.base.api.BaseAPI.Client.__init__(self, iprot, oprot) def addGateway(self, authzToken, gateway): """ Return the airavataInternalGatewayId assigned to given gateway. Parameters: - authzToken - gateway """ self.send_addGateway(authzToken, gateway) return self.recv_addGateway() def send_addGateway(self, authzToken, gateway): self._oprot.writeMessageBegin('addGateway', TMessageType.CALL, self._seqid) args = addGateway_args() args.authzToken = authzToken args.gateway = gateway args.write(self._oprot) self._oprot.writeMessageEnd() self._oprot.trans.flush() def recv_addGateway(self): iprot = self._iprot (fname, mtype, rseqid) = iprot.readMessageBegin() if mtype == TMessageType.EXCEPTION: x = TApplicationException() x.read(iprot) iprot.readMessageEnd() raise x result = addGateway_result() result.read(iprot) iprot.readMessageEnd() if result.success is not None: return result.success if result.tpe is not None: raise result.tpe if result.ae is not None: raise result.ae raise TApplicationException(TApplicationException.MISSING_RESULT, "addGateway failed: unknown result") def updateGateway(self, authzToken, updatedGateway): """ Parameters: - authzToken - updatedGateway """ self.send_updateGateway(authzToken, updatedGateway) return self.recv_updateGateway() def send_updateGateway(self, authzToken, updatedGateway): self._oprot.writeMessageBegin('updateGateway', TMessageType.CALL, self._seqid) args = updateGateway_args() args.authzToken = authzToken args.updatedGateway = updatedGateway args.write(self._oprot) self._oprot.writeMessageEnd() self._oprot.trans.flush() def recv_updateGateway(self): iprot = self._iprot (fname, mtype, rseqid) = iprot.readMessageBegin() if mtype == TMessageType.EXCEPTION: x = TApplicationException() x.read(iprot) iprot.readMessageEnd() raise x result = updateGateway_result() result.read(iprot) iprot.readMessageEnd() if result.success is not None: return result.success if result.tpe is not None: raise result.tpe if result.ae is not None: raise result.ae raise TApplicationException(TApplicationException.MISSING_RESULT, "updateGateway failed: unknown result") def getGateway(self, authzToken, airavataInternalGatewayId): """ Parameters: - authzToken - airavataInternalGatewayId """ self.send_getGateway(authzToken, airavataInternalGatewayId) return self.recv_getGateway() def send_getGateway(self, authzToken, airavataInternalGatewayId): self._oprot.writeMessageBegin('getGateway', TMessageType.CALL, self._seqid) args = getGateway_args() args.authzToken = authzToken args.airavataInternalGatewayId = airavataInternalGatewayId args.write(self._oprot) self._oprot.writeMessageEnd() self._oprot.trans.flush() def recv_getGateway(self): iprot = self._iprot (fname, mtype, rseqid) = iprot.readMessageBegin() if mtype == TMessageType.EXCEPTION: x = TApplicationException() x.read(iprot) iprot.readMessageEnd() raise x result = getGateway_result() result.read(iprot) iprot.readMessageEnd() if result.success is not None: return result.success if result.tpe is not None: raise result.tpe if result.ae is not None: raise result.ae raise TApplicationException(TApplicationException.MISSING_RESULT, "getGateway failed: unknown result") def deleteGateway(self, authzToken, airavataInternalGatewayId, gatewayId): """ Parameters: - authzToken - airavataInternalGatewayId - gatewayId """ self.send_deleteGateway(authzToken, airavataInternalGatewayId, gatewayId) return self.recv_deleteGateway() def send_deleteGateway(self, authzToken, airavataInternalGatewayId, gatewayId): self._oprot.writeMessageBegin('deleteGateway', TMessageType.CALL, self._seqid) args = deleteGateway_args() args.authzToken = authzToken args.airavataInternalGatewayId = airavataInternalGatewayId args.gatewayId = gatewayId args.write(self._oprot) self._oprot.writeMessageEnd() self._oprot.trans.flush() def recv_deleteGateway(self): iprot = self._iprot (fname, mtype, rseqid) = iprot.readMessageBegin() if mtype == TMessageType.EXCEPTION: x = TApplicationException() x.read(iprot) iprot.readMessageEnd() raise x result = deleteGateway_result() result.read(iprot) iprot.readMessageEnd() if result.success is not None: return result.success if result.tpe is not None: raise result.tpe if result.ae is not None: raise result.ae raise TApplicationException(TApplicationException.MISSING_RESULT, "deleteGateway failed: unknown result") def getAllGateways(self, authzToken): """ Parameters: - authzToken """ self.send_getAllGateways(authzToken) return self.recv_getAllGateways() def send_getAllGateways(self, authzToken): self._oprot.writeMessageBegin('getAllGateways', TMessageType.CALL, self._seqid) args = getAllGateways_args() args.authzToken = authzToken args.write(self._oprot) self._oprot.writeMessageEnd() self._oprot.trans.flush() def recv_getAllGateways(self): iprot = self._iprot (fname, mtype, rseqid) = iprot.readMessageBegin() if mtype == TMessageType.EXCEPTION: x = TApplicationException() x.read(iprot) iprot.readMessageEnd() raise x result = getAllGateways_result() result.read(iprot) iprot.readMessageEnd() if result.success is not None: return result.success if result.tpe is not None: raise result.tpe if result.ae is not None: raise result.ae raise TApplicationException(TApplicationException.MISSING_RESULT, "getAllGateways failed: unknown result") def isGatewayExist(self, authzToken, gatewayId): """ Parameters: - authzToken - gatewayId """ self.send_isGatewayExist(authzToken, gatewayId) return self.recv_isGatewayExist() def send_isGatewayExist(self, authzToken, gatewayId): self._oprot.writeMessageBegin('isGatewayExist', TMessageType.CALL, self._seqid) args = isGatewayExist_args() args.authzToken = authzToken args.gatewayId = gatewayId args.write(self._oprot) self._oprot.writeMessageEnd() self._oprot.trans.flush() def recv_isGatewayExist(self): iprot = self._iprot (fname, mtype, rseqid) = iprot.readMessageBegin() if mtype == TMessageType.EXCEPTION: x = TApplicationException() x.read(iprot) iprot.readMessageEnd() raise x result = isGatewayExist_result() result.read(iprot) iprot.readMessageEnd() if result.success is not None: return result.success if result.tpe is not None: raise result.tpe if result.ae is not None: raise result.ae raise TApplicationException(TApplicationException.MISSING_RESULT, "isGatewayExist failed: unknown result") def getAllGatewaysForUser(self, authzToken, requesterUsername): """ Parameters: - authzToken - requesterUsername """ self.send_getAllGatewaysForUser(authzToken, requesterUsername) return self.recv_getAllGatewaysForUser() def send_getAllGatewaysForUser(self, authzToken, requesterUsername): self._oprot.writeMessageBegin('getAllGatewaysForUser', TMessageType.CALL, self._seqid) args = getAllGatewaysForUser_args() args.authzToken = authzToken args.requesterUsername = requesterUsername args.write(self._oprot) self._oprot.writeMessageEnd() self._oprot.trans.flush() def recv_getAllGatewaysForUser(self): iprot = self._iprot (fname, mtype, rseqid) = iprot.readMessageBegin() if mtype == TMessageType.EXCEPTION: x = TApplicationException() x.read(iprot) iprot.readMessageEnd() raise x result = getAllGatewaysForUser_result() result.read(iprot) iprot.readMessageEnd() if result.success is not None: return result.success if result.tpe is not None: raise result.tpe if result.ae is not None: raise result.ae raise TApplicationException(TApplicationException.MISSING_RESULT, "getAllGatewaysForUser failed: unknown result") class Processor(airavata.base.api.BaseAPI.Processor, Iface, TProcessor): def __init__(self, handler): airavata.base.api.BaseAPI.Processor.__init__(self, handler) self._processMap["addGateway"] = Processor.process_addGateway self._processMap["updateGateway"] = Processor.process_updateGateway self._processMap["getGateway"] = Processor.process_getGateway self._processMap["deleteGateway"] = Processor.process_deleteGateway self._processMap["getAllGateways"] = Processor.process_getAllGateways self._processMap["isGatewayExist"] = Processor.process_isGatewayExist self._processMap["getAllGatewaysForUser"] = Processor.process_getAllGatewaysForUser 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_addGateway(self, seqid, iprot, oprot): args = addGateway_args() args.read(iprot) iprot.readMessageEnd() result = addGateway_result() try: result.success = self._handler.addGateway(args.authzToken, args.gateway) msg_type = TMessageType.REPLY except (TTransport.TTransportException, KeyboardInterrupt, SystemExit): raise except airavata.service.profile.tenant.cpi.error.ttypes.TenantProfileServiceException as tpe: msg_type = TMessageType.REPLY result.tpe = tpe except airavata.api.error.ttypes.AuthorizationException as ae: msg_type = TMessageType.REPLY result.ae = ae except Exception as ex: msg_type = TMessageType.EXCEPTION logging.exception(ex) result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error') oprot.writeMessageBegin("addGateway", msg_type, seqid) result.write(oprot) oprot.writeMessageEnd() oprot.trans.flush() def process_updateGateway(self, seqid, iprot, oprot): args = updateGateway_args() args.read(iprot) iprot.readMessageEnd() result = updateGateway_result() try: result.success = self._handler.updateGateway(args.authzToken, args.updatedGateway) msg_type = TMessageType.REPLY except (TTransport.TTransportException, KeyboardInterrupt, SystemExit): raise except airavata.service.profile.tenant.cpi.error.ttypes.TenantProfileServiceException as tpe: msg_type = TMessageType.REPLY result.tpe = tpe except airavata.api.error.ttypes.AuthorizationException as ae: msg_type = TMessageType.REPLY result.ae = ae except Exception as ex: msg_type = TMessageType.EXCEPTION logging.exception(ex) result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error') oprot.writeMessageBegin("updateGateway", msg_type, seqid) result.write(oprot) oprot.writeMessageEnd() oprot.trans.flush() def process_getGateway(self, seqid, iprot, oprot): args = getGateway_args() args.read(iprot) iprot.readMessageEnd() result = getGateway_result() try: result.success = self._handler.getGateway(args.authzToken, args.airavataInternalGatewayId) msg_type = TMessageType.REPLY except (TTransport.TTransportException, KeyboardInterrupt, SystemExit): raise except airavata.service.profile.tenant.cpi.error.ttypes.TenantProfileServiceException as tpe: msg_type = TMessageType.REPLY result.tpe = tpe except airavata.api.error.ttypes.AuthorizationException as ae: msg_type = TMessageType.REPLY result.ae = ae except Exception as ex: msg_type = TMessageType.EXCEPTION logging.exception(ex) result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error') oprot.writeMessageBegin("getGateway", msg_type, seqid) result.write(oprot) oprot.writeMessageEnd() oprot.trans.flush() def process_deleteGateway(self, seqid, iprot, oprot): args = deleteGateway_args() args.read(iprot) iprot.readMessageEnd() result = deleteGateway_result() try: result.success = self._handler.deleteGateway(args.authzToken, args.airavataInternalGatewayId, args.gatewayId) msg_type = TMessageType.REPLY except (TTransport.TTransportException, KeyboardInterrupt, SystemExit): raise except airavata.service.profile.tenant.cpi.error.ttypes.TenantProfileServiceException as tpe: msg_type = TMessageType.REPLY result.tpe = tpe except airavata.api.error.ttypes.AuthorizationException as ae: msg_type = TMessageType.REPLY result.ae = ae except Exception as ex: msg_type = TMessageType.EXCEPTION logging.exception(ex) result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error') oprot.writeMessageBegin("deleteGateway", msg_type, seqid) result.write(oprot) oprot.writeMessageEnd() oprot.trans.flush() def process_getAllGateways(self, seqid, iprot, oprot): args = getAllGateways_args() args.read(iprot) iprot.readMessageEnd() result = getAllGateways_result() try: result.success = self._handler.getAllGateways(args.authzToken) msg_type = TMessageType.REPLY except (TTransport.TTransportException, KeyboardInterrupt, SystemExit): raise except airavata.service.profile.tenant.cpi.error.ttypes.TenantProfileServiceException as tpe: msg_type = TMessageType.REPLY result.tpe = tpe except airavata.api.error.ttypes.AuthorizationException as ae: msg_type = TMessageType.REPLY result.ae = ae except Exception as ex: msg_type = TMessageType.EXCEPTION logging.exception(ex) result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error') oprot.writeMessageBegin("getAllGateways", msg_type, seqid) result.write(oprot) oprot.writeMessageEnd() oprot.trans.flush() def process_isGatewayExist(self, seqid, iprot, oprot): args = isGatewayExist_args() args.read(iprot) iprot.readMessageEnd() result = isGatewayExist_result() try: result.success = self._handler.isGatewayExist(args.authzToken, args.gatewayId) msg_type = TMessageType.REPLY except (TTransport.TTransportException, KeyboardInterrupt, SystemExit): raise except airavata.service.profile.tenant.cpi.error.ttypes.TenantProfileServiceException as tpe: msg_type = TMessageType.REPLY result.tpe = tpe except airavata.api.error.ttypes.AuthorizationException as ae: msg_type = TMessageType.REPLY result.ae = ae except Exception as ex: msg_type = TMessageType.EXCEPTION logging.exception(ex) result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error') oprot.writeMessageBegin("isGatewayExist", msg_type, seqid) result.write(oprot) oprot.writeMessageEnd() oprot.trans.flush() def process_getAllGatewaysForUser(self, seqid, iprot, oprot): args = getAllGatewaysForUser_args() args.read(iprot) iprot.readMessageEnd() result = getAllGatewaysForUser_result() try: result.success = self._handler.getAllGatewaysForUser(args.authzToken, args.requesterUsername) msg_type = TMessageType.REPLY except (TTransport.TTransportException, KeyboardInterrupt, SystemExit): raise except airavata.service.profile.tenant.cpi.error.ttypes.TenantProfileServiceException as tpe: msg_type = TMessageType.REPLY result.tpe = tpe except airavata.api.error.ttypes.AuthorizationException as ae: msg_type = TMessageType.REPLY result.ae = ae except Exception as ex: msg_type = TMessageType.EXCEPTION logging.exception(ex) result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error') oprot.writeMessageBegin("getAllGatewaysForUser", msg_type, seqid) result.write(oprot) oprot.writeMessageEnd() oprot.trans.flush() # HELPER FUNCTIONS AND STRUCTURES class addGateway_args(object): """ Attributes: - authzToken - gateway """ thrift_spec = ( None, # 0 (1, TType.STRUCT, 'authzToken', (airavata.model.security.ttypes.AuthzToken, airavata.model.security.ttypes.AuthzToken.thrift_spec), None, ), # 1 (2, TType.STRUCT, 'gateway', (airavata.model.workspace.ttypes.Gateway, airavata.model.workspace.ttypes.Gateway.thrift_spec), None, ), # 2 ) def __init__(self, authzToken=None, gateway=None,): self.authzToken = authzToken self.gateway = gateway 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.authzToken = airavata.model.security.ttypes.AuthzToken() self.authzToken.read(iprot) else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRUCT: self.gateway = airavata.model.workspace.ttypes.Gateway() self.gateway.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('addGateway_args') if self.authzToken is not None: oprot.writeFieldBegin('authzToken', TType.STRUCT, 1) self.authzToken.write(oprot) oprot.writeFieldEnd() if self.gateway is not None: oprot.writeFieldBegin('gateway', TType.STRUCT, 2) self.gateway.write(oprot) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): if self.authzToken is None: raise TProtocolException(message='Required field authzToken is unset!') if self.gateway is None: raise TProtocolException(message='Required field gateway is unset!') 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 addGateway_result(object): """ Attributes: - success - tpe - ae """ thrift_spec = ( (0, TType.STRING, 'success', 'UTF8', None, ), # 0 (1, TType.STRUCT, 'tpe', (airavata.service.profile.tenant.cpi.error.ttypes.TenantProfileServiceException, airavata.service.profile.tenant.cpi.error.ttypes.TenantProfileServiceException.thrift_spec), None, ), # 1 (2, TType.STRUCT, 'ae', (airavata.api.error.ttypes.AuthorizationException, airavata.api.error.ttypes.AuthorizationException.thrift_spec), None, ), # 2 ) def __init__(self, success=None, tpe=None, ae=None,): self.success = success self.tpe = tpe self.ae = ae 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.STRING: self.success = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString() else: iprot.skip(ftype) elif fid == 1: if ftype == TType.STRUCT: self.tpe = airavata.service.profile.tenant.cpi.error.ttypes.TenantProfileServiceException() self.tpe.read(iprot) else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRUCT: self.ae = airavata.api.error.ttypes.AuthorizationException() self.ae.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('addGateway_result') if self.success is not None: oprot.writeFieldBegin('success', TType.STRING, 0) oprot.writeString(self.success.encode('utf-8') if sys.version_info[0] == 2 else self.success) oprot.writeFieldEnd() if self.tpe is not None: oprot.writeFieldBegin('tpe', TType.STRUCT, 1) self.tpe.write(oprot) oprot.writeFieldEnd() if self.ae is not None: oprot.writeFieldBegin('ae', TType.STRUCT, 2) self.ae.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 updateGateway_args(object): """ Attributes: - authzToken - updatedGateway """ thrift_spec = ( None, # 0 (1, TType.STRUCT, 'authzToken', (airavata.model.security.ttypes.AuthzToken, airavata.model.security.ttypes.AuthzToken.thrift_spec), None, ), # 1 (2, TType.STRUCT, 'updatedGateway', (airavata.model.workspace.ttypes.Gateway, airavata.model.workspace.ttypes.Gateway.thrift_spec), None, ), # 2 ) def __init__(self, authzToken=None, updatedGateway=None,): self.authzToken = authzToken self.updatedGateway = updatedGateway 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.authzToken = airavata.model.security.ttypes.AuthzToken() self.authzToken.read(iprot) else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRUCT: self.updatedGateway = airavata.model.workspace.ttypes.Gateway() self.updatedGateway.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('updateGateway_args') if self.authzToken is not None: oprot.writeFieldBegin('authzToken', TType.STRUCT, 1) self.authzToken.write(oprot) oprot.writeFieldEnd() if self.updatedGateway is not None: oprot.writeFieldBegin('updatedGateway', TType.STRUCT, 2) self.updatedGateway.write(oprot) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): if self.authzToken is None: raise TProtocolException(message='Required field authzToken is unset!') if self.updatedGateway is None: raise TProtocolException(message='Required field updatedGateway is unset!') 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 updateGateway_result(object): """ Attributes: - success - tpe - ae """ thrift_spec = ( (0, TType.BOOL, 'success', None, None, ), # 0 (1, TType.STRUCT, 'tpe', (airavata.service.profile.tenant.cpi.error.ttypes.TenantProfileServiceException, airavata.service.profile.tenant.cpi.error.ttypes.TenantProfileServiceException.thrift_spec), None, ), # 1 (2, TType.STRUCT, 'ae', (airavata.api.error.ttypes.AuthorizationException, airavata.api.error.ttypes.AuthorizationException.thrift_spec), None, ), # 2 ) def __init__(self, success=None, tpe=None, ae=None,): self.success = success self.tpe = tpe self.ae = ae 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.BOOL: self.success = iprot.readBool() else: iprot.skip(ftype) elif fid == 1: if ftype == TType.STRUCT: self.tpe = airavata.service.profile.tenant.cpi.error.ttypes.TenantProfileServiceException() self.tpe.read(iprot) else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRUCT: self.ae = airavata.api.error.ttypes.AuthorizationException() self.ae.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('updateGateway_result') if self.success is not None: oprot.writeFieldBegin('success', TType.BOOL, 0) oprot.writeBool(self.success) oprot.writeFieldEnd() if self.tpe is not None: oprot.writeFieldBegin('tpe', TType.STRUCT, 1) self.tpe.write(oprot) oprot.writeFieldEnd() if self.ae is not None: oprot.writeFieldBegin('ae', TType.STRUCT, 2) self.ae.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 getGateway_args(object): """ Attributes: - authzToken - airavataInternalGatewayId """ thrift_spec = ( None, # 0 (1, TType.STRUCT, 'authzToken', (airavata.model.security.ttypes.AuthzToken, airavata.model.security.ttypes.AuthzToken.thrift_spec), None, ), # 1 (2, TType.STRING, 'airavataInternalGatewayId', 'UTF8', None, ), # 2 ) def __init__(self, authzToken=None, airavataInternalGatewayId=None,): self.authzToken = authzToken self.airavataInternalGatewayId = airavataInternalGatewayId 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.authzToken = airavata.model.security.ttypes.AuthzToken() self.authzToken.read(iprot) else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRING: self.airavataInternalGatewayId = 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('getGateway_args') if self.authzToken is not None: oprot.writeFieldBegin('authzToken', TType.STRUCT, 1) self.authzToken.write(oprot) oprot.writeFieldEnd() if self.airavataInternalGatewayId is not None: oprot.writeFieldBegin('airavataInternalGatewayId', TType.STRING, 2) oprot.writeString(self.airavataInternalGatewayId.encode('utf-8') if sys.version_info[0] == 2 else self.airavataInternalGatewayId) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): if self.authzToken is None: raise TProtocolException(message='Required field authzToken is unset!') if self.airavataInternalGatewayId is None: raise TProtocolException(message='Required field airavataInternalGatewayId is unset!') 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 getGateway_result(object): """ Attributes: - success - tpe - ae """ thrift_spec = ( (0, TType.STRUCT, 'success', (airavata.model.workspace.ttypes.Gateway, airavata.model.workspace.ttypes.Gateway.thrift_spec), None, ), # 0 (1, TType.STRUCT, 'tpe', (airavata.service.profile.tenant.cpi.error.ttypes.TenantProfileServiceException, airavata.service.profile.tenant.cpi.error.ttypes.TenantProfileServiceException.thrift_spec), None, ), # 1 (2, TType.STRUCT, 'ae', (airavata.api.error.ttypes.AuthorizationException, airavata.api.error.ttypes.AuthorizationException.thrift_spec), None, ), # 2 ) def __init__(self, success=None, tpe=None, ae=None,): self.success = success self.tpe = tpe self.ae = ae 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 = airavata.model.workspace.ttypes.Gateway() self.success.read(iprot) else: iprot.skip(ftype) elif fid == 1: if ftype == TType.STRUCT: self.tpe = airavata.service.profile.tenant.cpi.error.ttypes.TenantProfileServiceException() self.tpe.read(iprot) else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRUCT: self.ae = airavata.api.error.ttypes.AuthorizationException() self.ae.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('getGateway_result') if self.success is not None: oprot.writeFieldBegin('success', TType.STRUCT, 0) self.success.write(oprot) oprot.writeFieldEnd() if self.tpe is not None: oprot.writeFieldBegin('tpe', TType.STRUCT, 1) self.tpe.write(oprot) oprot.writeFieldEnd() if self.ae is not None: oprot.writeFieldBegin('ae', TType.STRUCT, 2) self.ae.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 deleteGateway_args(object): """ Attributes: - authzToken - airavataInternalGatewayId - gatewayId """ thrift_spec = ( None, # 0 (1, TType.STRUCT, 'authzToken', (airavata.model.security.ttypes.AuthzToken, airavata.model.security.ttypes.AuthzToken.thrift_spec), None, ), # 1 (2, TType.STRING, 'airavataInternalGatewayId', 'UTF8', None, ), # 2 (3, TType.STRING, 'gatewayId', 'UTF8', None, ), # 3 ) def __init__(self, authzToken=None, airavataInternalGatewayId=None, gatewayId=None,): self.authzToken = authzToken self.airavataInternalGatewayId = airavataInternalGatewayId self.gatewayId = gatewayId 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.authzToken = airavata.model.security.ttypes.AuthzToken() self.authzToken.read(iprot) else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRING: self.airavataInternalGatewayId = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString() else: iprot.skip(ftype) elif fid == 3: if ftype == TType.STRING: self.gatewayId = 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('deleteGateway_args') if self.authzToken is not None: oprot.writeFieldBegin('authzToken', TType.STRUCT, 1) self.authzToken.write(oprot) oprot.writeFieldEnd() if self.airavataInternalGatewayId is not None: oprot.writeFieldBegin('airavataInternalGatewayId', TType.STRING, 2) oprot.writeString(self.airavataInternalGatewayId.encode('utf-8') if sys.version_info[0] == 2 else self.airavataInternalGatewayId) oprot.writeFieldEnd() if self.gatewayId is not None: oprot.writeFieldBegin('gatewayId', TType.STRING, 3) oprot.writeString(self.gatewayId.encode('utf-8') if sys.version_info[0] == 2 else self.gatewayId) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): if self.authzToken is None: raise TProtocolException(message='Required field authzToken is unset!') if self.airavataInternalGatewayId is None: raise TProtocolException(message='Required field airavataInternalGatewayId is unset!') if self.gatewayId is None: raise TProtocolException(message='Required field gatewayId is unset!') 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 deleteGateway_result(object): """ Attributes: - success - tpe - ae """ thrift_spec = ( (0, TType.BOOL, 'success', None, None, ), # 0 (1, TType.STRUCT, 'tpe', (airavata.service.profile.tenant.cpi.error.ttypes.TenantProfileServiceException, airavata.service.profile.tenant.cpi.error.ttypes.TenantProfileServiceException.thrift_spec), None, ), # 1 (2, TType.STRUCT, 'ae', (airavata.api.error.ttypes.AuthorizationException, airavata.api.error.ttypes.AuthorizationException.thrift_spec), None, ), # 2 ) def __init__(self, success=None, tpe=None, ae=None,): self.success = success self.tpe = tpe self.ae = ae 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.BOOL: self.success = iprot.readBool() else: iprot.skip(ftype) elif fid == 1: if ftype == TType.STRUCT: self.tpe = airavata.service.profile.tenant.cpi.error.ttypes.TenantProfileServiceException() self.tpe.read(iprot) else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRUCT: self.ae = airavata.api.error.ttypes.AuthorizationException() self.ae.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('deleteGateway_result') if self.success is not None: oprot.writeFieldBegin('success', TType.BOOL, 0) oprot.writeBool(self.success) oprot.writeFieldEnd() if self.tpe is not None: oprot.writeFieldBegin('tpe', TType.STRUCT, 1) self.tpe.write(oprot) oprot.writeFieldEnd() if self.ae is not None: oprot.writeFieldBegin('ae', TType.STRUCT, 2) self.ae.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 getAllGateways_args(object): """ Attributes: - authzToken """ thrift_spec = ( None, # 0 (1, TType.STRUCT, 'authzToken', (airavata.model.security.ttypes.AuthzToken, airavata.model.security.ttypes.AuthzToken.thrift_spec), None, ), # 1 ) def __init__(self, authzToken=None,): self.authzToken = authzToken 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.authzToken = airavata.model.security.ttypes.AuthzToken() self.authzToken.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('getAllGateways_args') if self.authzToken is not None: oprot.writeFieldBegin('authzToken', TType.STRUCT, 1) self.authzToken.write(oprot) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): if self.authzToken is None: raise TProtocolException(message='Required field authzToken is unset!') 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 getAllGateways_result(object): """ Attributes: - success - tpe - ae """ thrift_spec = ( (0, TType.LIST, 'success', (TType.STRUCT, (airavata.model.workspace.ttypes.Gateway, airavata.model.workspace.ttypes.Gateway.thrift_spec), False), None, ), # 0 (1, TType.STRUCT, 'tpe', (airavata.service.profile.tenant.cpi.error.ttypes.TenantProfileServiceException, airavata.service.profile.tenant.cpi.error.ttypes.TenantProfileServiceException.thrift_spec), None, ), # 1 (2, TType.STRUCT, 'ae', (airavata.api.error.ttypes.AuthorizationException, airavata.api.error.ttypes.AuthorizationException.thrift_spec), None, ), # 2 ) def __init__(self, success=None, tpe=None, ae=None,): self.success = success self.tpe = tpe self.ae = ae 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.LIST: self.success = [] (_etype3, _size0) = iprot.readListBegin() for _i4 in range(_size0): _elem5 = airavata.model.workspace.ttypes.Gateway() _elem5.read(iprot) self.success.append(_elem5) iprot.readListEnd() else: iprot.skip(ftype) elif fid == 1: if ftype == TType.STRUCT: self.tpe = airavata.service.profile.tenant.cpi.error.ttypes.TenantProfileServiceException() self.tpe.read(iprot) else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRUCT: self.ae = airavata.api.error.ttypes.AuthorizationException() self.ae.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('getAllGateways_result') if self.success is not None: oprot.writeFieldBegin('success', TType.LIST, 0) oprot.writeListBegin(TType.STRUCT, len(self.success)) for iter6 in self.success: iter6.write(oprot) oprot.writeListEnd() oprot.writeFieldEnd() if self.tpe is not None: oprot.writeFieldBegin('tpe', TType.STRUCT, 1) self.tpe.write(oprot) oprot.writeFieldEnd() if self.ae is not None: oprot.writeFieldBegin('ae', TType.STRUCT, 2) self.ae.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 isGatewayExist_args(object): """ Attributes: - authzToken - gatewayId """ thrift_spec = ( None, # 0 (1, TType.STRUCT, 'authzToken', (airavata.model.security.ttypes.AuthzToken, airavata.model.security.ttypes.AuthzToken.thrift_spec), None, ), # 1 (2, TType.STRING, 'gatewayId', 'UTF8', None, ), # 2 ) def __init__(self, authzToken=None, gatewayId=None,): self.authzToken = authzToken self.gatewayId = gatewayId 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.authzToken = airavata.model.security.ttypes.AuthzToken() self.authzToken.read(iprot) else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRING: self.gatewayId = 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('isGatewayExist_args') if self.authzToken is not None: oprot.writeFieldBegin('authzToken', TType.STRUCT, 1) self.authzToken.write(oprot) oprot.writeFieldEnd() if self.gatewayId is not None: oprot.writeFieldBegin('gatewayId', TType.STRING, 2) oprot.writeString(self.gatewayId.encode('utf-8') if sys.version_info[0] == 2 else self.gatewayId) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): if self.authzToken is None: raise TProtocolException(message='Required field authzToken is unset!') if self.gatewayId is None: raise TProtocolException(message='Required field gatewayId is unset!') 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 isGatewayExist_result(object): """ Attributes: - success - tpe - ae """ thrift_spec = ( (0, TType.BOOL, 'success', None, None, ), # 0 (1, TType.STRUCT, 'tpe', (airavata.service.profile.tenant.cpi.error.ttypes.TenantProfileServiceException, airavata.service.profile.tenant.cpi.error.ttypes.TenantProfileServiceException.thrift_spec), None, ), # 1 (2, TType.STRUCT, 'ae', (airavata.api.error.ttypes.AuthorizationException, airavata.api.error.ttypes.AuthorizationException.thrift_spec), None, ), # 2 ) def __init__(self, success=None, tpe=None, ae=None,): self.success = success self.tpe = tpe self.ae = ae 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.BOOL: self.success = iprot.readBool() else: iprot.skip(ftype) elif fid == 1: if ftype == TType.STRUCT: self.tpe = airavata.service.profile.tenant.cpi.error.ttypes.TenantProfileServiceException() self.tpe.read(iprot) else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRUCT: self.ae = airavata.api.error.ttypes.AuthorizationException() self.ae.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('isGatewayExist_result') if self.success is not None: oprot.writeFieldBegin('success', TType.BOOL, 0) oprot.writeBool(self.success) oprot.writeFieldEnd() if self.tpe is not None: oprot.writeFieldBegin('tpe', TType.STRUCT, 1) self.tpe.write(oprot) oprot.writeFieldEnd() if self.ae is not None: oprot.writeFieldBegin('ae', TType.STRUCT, 2) self.ae.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 getAllGatewaysForUser_args(object): """ Attributes: - authzToken - requesterUsername """ thrift_spec = ( None, # 0 (1, TType.STRUCT, 'authzToken', (airavata.model.security.ttypes.AuthzToken, airavata.model.security.ttypes.AuthzToken.thrift_spec), None, ), # 1 (2, TType.STRING, 'requesterUsername', 'UTF8', None, ), # 2 ) def __init__(self, authzToken=None, requesterUsername=None,): self.authzToken = authzToken self.requesterUsername = requesterUsername 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.authzToken = airavata.model.security.ttypes.AuthzToken() self.authzToken.read(iprot) else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRING: self.requesterUsername = 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('getAllGatewaysForUser_args') if self.authzToken is not None: oprot.writeFieldBegin('authzToken', TType.STRUCT, 1) self.authzToken.write(oprot) oprot.writeFieldEnd() if self.requesterUsername is not None: oprot.writeFieldBegin('requesterUsername', TType.STRING, 2) oprot.writeString(self.requesterUsername.encode('utf-8') if sys.version_info[0] == 2 else self.requesterUsername) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): if self.authzToken is None: raise TProtocolException(message='Required field authzToken is unset!') if self.requesterUsername is None: raise TProtocolException(message='Required field requesterUsername is unset!') 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 getAllGatewaysForUser_result(object): """ Attributes: - success - tpe - ae """ thrift_spec = ( (0, TType.LIST, 'success', (TType.STRUCT, (airavata.model.workspace.ttypes.Gateway, airavata.model.workspace.ttypes.Gateway.thrift_spec), False), None, ), # 0 (1, TType.STRUCT, 'tpe', (airavata.service.profile.tenant.cpi.error.ttypes.TenantProfileServiceException, airavata.service.profile.tenant.cpi.error.ttypes.TenantProfileServiceException.thrift_spec), None, ), # 1 (2, TType.STRUCT, 'ae', (airavata.api.error.ttypes.AuthorizationException, airavata.api.error.ttypes.AuthorizationException.thrift_spec), None, ), # 2 ) def __init__(self, success=None, tpe=None, ae=None,): self.success = success self.tpe = tpe self.ae = ae 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.LIST: self.success = [] (_etype10, _size7) = iprot.readListBegin() for _i11 in range(_size7): _elem12 = airavata.model.workspace.ttypes.Gateway() _elem12.read(iprot) self.success.append(_elem12) iprot.readListEnd() else: iprot.skip(ftype) elif fid == 1: if ftype == TType.STRUCT: self.tpe = airavata.service.profile.tenant.cpi.error.ttypes.TenantProfileServiceException() self.tpe.read(iprot) else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRUCT: self.ae = airavata.api.error.ttypes.AuthorizationException() self.ae.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('getAllGatewaysForUser_result') if self.success is not None: oprot.writeFieldBegin('success', TType.LIST, 0) oprot.writeListBegin(TType.STRUCT, len(self.success)) for iter13 in self.success: iter13.write(oprot) oprot.writeListEnd() oprot.writeFieldEnd() if self.tpe is not None: oprot.writeFieldBegin('tpe', TType.STRUCT, 1) self.tpe.write(oprot) oprot.writeFieldEnd() if self.ae is not None: oprot.writeFieldBegin('ae', TType.STRUCT, 2) self.ae.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)

38.390717

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0.603327

6,565

65,341

5.833054

0.031531

0.014624

0.026323

0.023032

0.881026

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0.815324

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null

0

1

0

1

0

null

0

8

076e3f3e40b888bde05dbc604bb2668511635ee7

1,135

py

Python

model_selection_cb/make_scripts.py

akshaykr/oracle_cb

68f10fce5eca8ebe3f57fd5a56a0ef8d82537ab4

[ "MIT" ]

26

2017-08-02T19:58:06.000Z

2021-11-03T06:31:01.000Z

model_selection_cb/make_scripts.py

akshaykr/oracle_cb

68f10fce5eca8ebe3f57fd5a56a0ef8d82537ab4

[ "MIT" ]

1

2020-03-03T06:06:32.000Z

model_selection_cb/make_scripts.py

akshaykr/oracle_cb

68f10fce5eca8ebe3f57fd5a56a0ef8d82537ab4

[ "MIT" ]

10

2017-06-02T19:34:38.000Z

2022-03-22T10:38:51.000Z

import numpy as np if __name__=='__main__': T = 4000 d = 1000 s = 10 K = 2 delta_vals = np.logspace(-3,1,10) eps_vals = np.logspace(-3,1,10) iters = 20 print("cd ../") for i in range(len(delta_vals)): print("python3 -W ignore LimeCB.py --T %d --d %d --s %d --K %d --iters %d --param %0.3f --alg %s --noise 1.0 --base linucb" % (T, d, s, K, iters, eps_vals[i], 'limecb')) print("python3 -W ignore LimeCB.py --T %d --d %d --s %d --K %d --iters %d --param %0.3f --alg %s --noise 1.0 --base linucb" % (T, d, s, K, iters, eps_vals[i], 'oracle')) print("python3 -W ignore LimeCB.py --T %d --d %d --s %d --K %d --iters %d --param %0.3f --alg %s --noise 1.0 --base minimonster" % (T, d, s, K, iters, eps_vals[i], 'limecb')) print("python3 -W ignore LimeCB.py --T %d --d %d --s %d --K %d --iters %d --param %0.3f --alg %s --noise 1.0 --base minimonster" % (T, d, s, K, iters, eps_vals[i], 'oracle')) print("python3 -W ignore LimeCB.py --T %d --d %d --s %d --K %d --iters %d --param %0.3f --alg %s --noise 1.0" % (T, d, s, K, iters, delta_vals[i], 'linucb'))

51.590909

183

0.532159

213

1,135

2.760563

0.206573

0.034014

0.110544

0.161565

0.828231

0.812925

0.751701

0

0.052995

0.235242

1,135

21

184

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0.624424

0

0.3125

0.542328

0

1

0

false

0

0.0625

0

0.0625

0.375

0

null

0

1

0

1

0

null

0

8

0789ba58e6a1adb60f102222e0f0451c03b4a69c

19,484

py

Python

elitist_es.py

LsTam91/elitist_constrained_es

3c707165b4462c736284c53e0afe2f58e49ed418

[ "MIT" ]

1

2021-04-27T08:20:19.000Z

elitist_es.py

LsTam91/elitist_constrained_es

3c707165b4462c736284c53e0afe2f58e49ed418

[ "MIT" ]

null

elitist_es.py

LsTam91/elitist_constrained_es

3c707165b4462c736284c53e0afe2f58e49ed418

[ "MIT" ]

null

import numpy as np class CholeskyElitistES: """ Implementation of the (1+1)-Cholesky-CMA-ES without constraint. It is the implementation presented in the article: 'A Computational Efficient Covariance Matrix Update and a (1+1)CMA for Evolution Strategies' by C. Igel, T. Suttorp, and N. Hansen. """ def __init__(self, x0, sigma0): self.x = x0 self.sigma = sigma0 self.dim = len(x0) self.A = np.eye(self.dim) self.fct = [1e15] # Parameters for updateStepSize: self.p_target_succ = 2 / 11 # target succes rate self.p_succ = self.p_target_succ self.d = 1 + self.dim / 2 # controls the rate of the step size adaptation self.c_p = 1 / 12 # learning rate of the average success # Parameters for updateCholesky: self.p_thresh = 0.44 self.c_cov = 2 / (self.dim**2 + 6) # Parameters for stopping criterium : self.tolsig = 1e-8 self.stagnation = 0 self.best = [] self.TolX = 1e-12 * sigma0 def ask(self): """ Sample a candidate solution from x """ self.z = np.random.normal(size=self.dim) return self.x + self.sigma * self.A.dot(self.z) def tell(self, x, f): """ Update the ES internal model from x and its objective value f(x) """ lbd = f <= self.fct[-1] self._updateStepSize(lbd) if lbd: self.x = x self.stagnation = 0 self.fct.append(f) self.best.append(f) self._updateCholesky() else: self.fct.append(self.fct[-1]) self.stagnation += 1 def _updateStepSize(self, lbd): """ Update the value of the step size sigma and the averaged success rate, p_succ. """ self.p_succ = (1 - self.c_p) * self.p_succ + self.c_p * lbd self.sigma *= np.exp(1/self.d * ((self.p_succ - self.p_target_succ) / (1 - self.p_target_succ))) def _updateCholesky(self): """ Update of the cholesky matrix in order to change the search space for new candidates """ if self.p_succ < self.p_thresh: c_a = np.sqrt(1 - self.c_cov) update_coef = c_a / np.linalg.norm(self.z)**2 \ * (np.sqrt(1 + (1 - c_a**2) * np.linalg.norm(self.z)**2 / c_a**2) - 1) self.A = c_a * self.A + update_coef * self.A.dot(np.outer(self.z, self.z)) def stop(self): """ Stopping criteria """ if self.sigma < self.tolsig: print("sigma") return True elif self.stagnation > 120 + 30 * self.dim: print("Stagnation crit") return True elif len(self.best) > 2 and self.best[-2] - self.best[-1] < 1e-12: print("TolFun crit") return True elif self.sigma * self.p_succ < self.TolX: print("TolX crit") return True def fmin(f, x0, sigma0, plot=False): """ Standard interface to unconstrained optimization """ es = CholeskyElitistES(x0, sigma0) sig = [] vp = [] std = [] xs = [] while not es.stop(): x = es.ask() es.tell(x, f(x)) vp.append(np.linalg.eig(es.A.T.dot(es.A))[0]) sig.append(es.sigma) std.append(np.diag(es.A.dot(es.A))) xs.append(es.x) if plot: return es, vp, sig, std, xs return es class ActiveElitistES: """ It is the implementation of the algorithm presented in the article: 'A (1+1)-CMA-ES for Constrained Optimisation' by D. V. Arnold, and N. Hansen. """ def __init__(self, x0, sigma0, tolsig=1e-10, tolfun=1e-9, TolX=1e-10 ): # Optimization variables self.x = x0 self.sigma = sigma0 self.dim = len(x0) self.A = np.eye(self.dim) self.fct = [1e15] self.z = np.ones(self.dim) * 1e-4 self.v = np.array([]) self.w = np.array([]) # Solver variables self.count_f = 0 self.count_g = 0 # Parameter settings self.d = 1 + self.dim / 2 # controls the rate of the step size adaptation self.c = 2 / (self.dim + 2) self.c_p = 1 / 12 # learning rate of the average success self.p_target = 2 / 11 # target succes rate self.c_cov_plus = 2 / (self.dim**2 + 6) self.c_c = 1 / (self.dim + 2) self.beta = 0.1 / (self.dim + 2) # Variable: self.p_succ = 2 / 11 # p_target self.fifth_order = np.ones(5) * np.inf self.s = 0 # Parameters for stopping criterion : self.tolsig = tolsig self.tolfun = tolfun self.stagnation = 0 self.tolstagnation = 120 + 30 * self.dim self.best = [] self.TolX = TolX * sigma0 self.tolcountf = np.inf self.tolcountg = np.inf self.stop_now = False def ask(self): """ Sample a candidate solution from x """ self.z = np.random.normal(size=self.dim) return self.x + self.sigma * self.A.dot(self.z) def tell(self, x_new, f): """ Update the ES internal model from x and its objective value f(x) """ lbd = f <= self.fct[-1] self._updateStepSize(lbd) if lbd: self.x = x_new self.fct.append(f) self.best.append(f) self._updateCholesky() self.stagnation = 0 else: self.fct.append(self.fct[-1]) self.stagnation += 1 # if len(self.fct) > 5 and sum(self.fifth_order > f) == 0: if (not lbd) and self.p_succ < 0.44 and all(self.fifth_order < f): self._updateFifthOrder() self.fifth_order = np.concatenate([self.fifth_order[1:], [f]]) self.count_f += 1 def test(self, g): """ If the solution isn't feasible we update the cholesky matrix, A and the exponentially fading record, v. """ m = len(g) feasible = True summ = 0 # Init if self.v.shape == (0,): self.v = np.zeros((m, self.dim)) if self.w.shape == (0,): self.w = np.zeros((m, self.dim)) # We take the inverse of A only if the solution is infeasible if any(u > 0 for u in g): inv_A = np.linalg.inv(self.A) feasible = False for j in range(m): if g[j] > 0: self.v[j] *= (1 - self.c_c) self.v[j] += self.c_c * self.A.dot(self.z) self.w[j] = inv_A.dot(self.v[j]) summ += np.outer(self.v[j], self.w[j]) / self.w[j].T.dot(self.w[j]) if not feasible: self.A -= self.beta / np.sum([u > 0 for u in g]) * summ if np.isnan(self.A).any(): print("ERROR: NaN values in the covariance matrix") print(f"After {self.count_g} constraint evaluations") print(f"summ value: {summ}") raise RuntimeError("NaN values in the covariance matrix") self.count_g += 1 return feasible def _updateStepSize(self, lbd): """ Update the value of the step size sigma and the averaged success rate, p_succ. """ self.p_succ = (1 - self.c_p) * self.p_succ + self.c_p * lbd self.sigma *= np.exp( (self.p_succ - self.p_target) / ((1 - self.p_target) * self.d) ) def _updateCholesky(self): """ Update of the cholesky matrix and the exponentially fading record, s, in order to change the search space for new candidates. Rather than working with the covariance matrix and performing a Cholesky decompositionin every iteration of the algorithm, Igel et al. presented a direct update of A. """ if self.p_succ < 0.44: self.s *= (1 - self.c) self.s += np.sqrt(self.c * (2 - self.c)) * self.A.dot(self.z) self.alpha = 1 - self.c_cov_plus else: self.s *= 1 - self.c self.alpha = 1 - self.c_cov_plus + self.c_cov_plus * self.c * (2 - self.c) u = np.linalg.inv(self.A).dot(self.s) u2 = np.linalg.norm(u)**2 self.A *= np.sqrt(self.alpha) self.A += np.sqrt(self.alpha) * (np.sqrt(1 + self.c_cov_plus * u2 / (self.alpha)) - 1) * np.outer(self.s, u) / u2 assert not np.isnan(self.A).any() def _updateFifthOrder(self): """ In the case where the solution is worst than the fifth last, we incorporate the active covariance matrix update due to Jastrebski and Arnold. """ self.c_cov_minus = np.min( [ 0.4 / (self.dim**(1.6) + 1), 1 / abs(2 * np.linalg.norm(self.z)**2 - 1) ] ) z2 = np.linalg.norm(self.z)**2 self.A *= np.sqrt(1 + self.c_cov_minus) self.A += np.sqrt(1 + self.c_cov_minus) / z2 \ * (np.sqrt(1 - self.c_cov_minus * z2 / (1 + self.c_cov_minus)) - 1) \ * self.A.dot(np.outer(self.z, self.z)) assert not np.isnan(self.A).any() def stop(self, inner=False): """ Stopping criteria Set inner to true to test only for criteria related to the inner loop """ if not inner: if self.sigma < self.tolsig: print("sigma") return True elif self.stagnation > self.tolstagnation: # Stagnation crit print("Stagnation crit") return True elif len(self.best) > 2 and self.best[-2] - self.best[-1] < self.tolfun: # TolFun crit print("TolFun crit") return True elif self.sigma * self.p_succ < self.TolX: # TolX crit print("TolX crit") return True if self.count_f >= self.tolcountf or self.count_g > self.tolcountg: print("Number of evals exceeded") return True return False class FastActiveElitistES: """ It is the implementation of the algorithm presented in the article: 'A (1+1)-CMA-ES for Constrained Optimisation' by D. V. Arnold, and N. Hansen. I use the fast update of the covariance matrix in order to reduce the update complexity from O(n^3) to O(n^2) for the Cholesky update and the fifth order update and from O(n^3+mn^2) to O(mn^2) for the active constraint handling, which is a new update. """ def __init__(self, x0, sigma0, tolsig=1e-10, tolfun=1e-9, TolX=1e-10 ): ''' x0 : Assert the starting point is in the feaseble space! sigma0 : initial step size tolsig, tolfun, TolX : stopping criteria, check pycma documentation for more information. ''' # Optimization variables self.x = x0 self.sigma = sigma0 self.dim = len(x0) self.A = np.eye(self.dim) self.invA = np.eye(self.dim) self.Abis = np.eye(self.dim) self.invAbis = np.eye(self.dim) self.fct = [1e15] self.z = np.ones(self.dim) * 1e-4 self.v = np.array([]) self.w = np.array([]) # Solver variables self.count_f = 0 self.count_g = 0 # Parameter settings self.d = 1 + self.dim / 2 # controls the rate of the step size adaptation self.c = 2 / (self.dim + 2) self.c_p = 1 / 12 # learning rate of the average success self.p_target = 2 / 11 # target succes rate self.c_cov_plus = 2 / (self.dim**2 + 6) self.c_c = 1 / (self.dim + 2) self.beta = 0.1 / (self.dim + 2) # Variable: self.p_succ = 2 / 11 # p_target self.fifth_order = np.ones(5) * np.inf self.s = 0 # Parameters for stopping criterion : self.tolsig = tolsig self.tolfun = tolfun self.stagnation = 0 self.tolstagnation = 120 + 30 * self.dim self.best = [] self.TolX = TolX * sigma0 self.tolcountf = np.inf self.tolcountg = np.inf self.stop_now = False def ask(self): """ Sample a candidate solution from x """ self.z = np.random.normal(size=self.dim) return self.x + self.sigma * self.A.dot(self.z) def tell(self, x_new, f): """ Update the ES internal model from x and its objective value f(x) """ lbd = f <= self.fct[-1] self._updateStepSize(lbd) if lbd: self.x = x_new self.fct.append(f) self.best.append(f) self._updateCholesky() self.stagnation = 0 else: self.fct.append(self.fct[-1]) self.stagnation += 1 if (not lbd) and self.p_succ < 0.44 and all(self.fifth_order < f): self._updateFifthOrder() self.fifth_order = np.concatenate([self.fifth_order[1:], [f]]) self.count_f += 1 def test(self, g): """ If the solution isn't feasible we update the cholesky matrix, A and the exponentially fading record, v. """ m = len(g) feasible = True summ = 0 # Init if self.v.shape == (0,): self.v = np.zeros((m, self.dim)) if self.w.shape == (0,): self.w = np.ones((m, self.dim)) for j in range(m): if g[j] > 0: self.v[j] *= (1 - self.c_c) self.v[j] += self.c_c * self.A.dot(self.z) self.w[j] = self.invA.dot(self.v[j]) summ += np.outer(self.v[j], self.w[j]) / self.w[j].T.dot(self.w[j]) feasible = False m_a = sum(g > 0) if not feasible: self.A -= self.beta / m_a * summ if np.isnan(self.A).any(): print("ERROR: NaN values in the covariance matrix") print(f"After {self.count_g} constraint evaluations") print(f"summ value: {summ}") raise RuntimeError("NaN values in the covariance matrix") if m_a > 0: ind = g > 0 U = (- self.v[ind] * self.beta / m_a).T V = np.array([self.w[j] / (self.w[j].T @ self.w[j]) for j in np.arange(m)[ind]]) if m_a == 1: C = 1 self.invA -= (self.invA @ U) * 1/(C + V @ self.invA @ U)[0, 0] * (V @ self.invA) else: C = np.eye(m_a) self.invA -= (self.invA @ U) @ np.linalg.inv(C + V @ self.invA @ U) @ (V @ self.invA) self.count_g += 1 return feasible def _updateStepSize(self, lbd): """ Update the value of the step size sigma and the averaged success rate, p_succ. """ self.p_succ = (1 - self.c_p) * self.p_succ + self.c_p * lbd self.sigma *= np.exp( (self.p_succ - self.p_target) / ((1 - self.p_target) * self.d) ) def _updateCholesky(self): """ Update of the cholesky matrix and the exponentially fading record, s, in order to change the search space for new candidates. Rather than working with the covariance matrix and performing a Cholesky decompositionin every iteration of the algorithm, Igel et al. presented a direct update of A. """ if self.p_succ < 0.44: self.s *= 1 - self.c self.s += np.sqrt(self.c * (2 - self.c)) * self.A.dot(self.z) self.alpha = 1 - self.c_cov_plus else: self.s *= 1 - self.c self.alpha = 1 - self.c_cov_plus + self.c_cov_plus * self.c * (2 - self.c) u = self.invA.dot(self.s) u2 = u.T @ u self.A *= np.sqrt(self.alpha) self.A += np.sqrt(self.alpha) / u2 * (np.sqrt(1 + self.c_cov_plus * u2 / (self.alpha)) - 1) * np.outer(self.s, u) A_temp = self.invA / np.sqrt(self.alpha) if u2 != 0: A_temp -= (1 - 1 / np.sqrt(1 + self.c_cov_plus * u2/self.alpha) ) / (np.sqrt(self.alpha) * u2) * np.outer(u, u.T.dot(self.invA)) self.invA = A_temp assert not np.isnan(self.A).any() def _updateFifthOrder(self): """ In the case where the solution is worst than the fifth last, we incorporate the active covariance matrix update due to Jastrebski and Arnold. """ z2 = self.z.T @ self.z self.c_cov_minus = np.min( [0.4 / (self.dim**(1.6) + 1), 1 / abs(2 * z2 - 1)]) a = np.sqrt(1 + self.c_cov_minus) b = a / z2 * (np.sqrt(1 - self.c_cov_minus * z2 / (1+self.c_cov_minus)) - 1) Az = self.A @ self.z self.A *= a self.A += b * np.outer(Az, self.z) self.invA = self.invA / a - (b / a**2) / (1 + z2 * b / a) * np.outer(self.z, self.z.T.dot(self.invA)) assert not np.isnan(self.A).any() def stop(self, inner=False): """ Stopping criteria Set inner to true to test only for criteria related to the inner loop """ if not inner: if self.sigma < self.tolsig: print("sigma") return True elif self.stagnation > self.tolstagnation: # Stagnation crit print("Stagnation crit") return True elif len(self.best) > 2 and self.best[-2] - self.best[-1] < self.tolfun: # TolFun crit print("TolFun crit") return True elif self.sigma * self.p_succ < self.TolX: # TolX crit print("TolX crit") return True if self.count_f >= self.tolcountf or self.count_g > self.tolcountg: print("Number of evals exceeded") return True return False def fmin_con(objective, constraint, x0, sigma0, options=True, plot=False): """ Interface for constrained optimization """ n_f = 0 n_g = 0 es = FastActiveElitistES(x0, sigma0) sig = [] vp = [] std = [] xs = [] while not es.stop(): while True: x = es.ask() g = constraint(x) n_g += 1 is_feasible = es.test(g) # To plot latter vp.append(np.linalg.eig(es.A.T.dot(es.A))[0]) sig.append(es.sigma) std.append(np.diag(es.A.dot(es.A))) if n_g % 1500 == 0 and options: print("{0} evaluation of f and {1} of the constraint." .format(n_f, n_g)) if is_feasible: break xs.append(es.x) f = objective(x) n_f += 1 es.tell(x, f) if plot: return es, vp, sig, std, xs return es def fmin2(f, x0, sigma0): """ Standard interface to unconstrained optimization with ActiveElitistES """ es = FastActiveElitistES(x0, sigma0) while not es.stop(): x = es.ask() es.tell(x, f(x)) return es

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