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How to use raises_exception method in avocado
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test_train_utils.py
Source:test_train_utils.py 
1from typing import Any, Dict, List2import numpy as np3import pytest4from typing import Text5import rasa.utils.train_utils as train_utils6from rasa.nlu.constants import NUMBER_OF_SUB_TOKENS7from rasa.nlu.tokenizers.tokenizer import Token8from rasa.shared.nlu.constants import (9 SPLIT_ENTITIES_BY_COMMA_DEFAULT_VALUE,10 SPLIT_ENTITIES_BY_COMMA,11)12from rasa.utils.tensorflow.constants import (13 MODEL_CONFIDENCE,14 RANKING_LENGTH,15 RENORMALIZE_CONFIDENCES,16 SIMILARITY_TYPE,17 LOSS_TYPE,18 COSINE,19 SOFTMAX,20 INNER,21 CROSS_ENTROPY,22 MARGIN,23 AUTO,24 TOLERANCE,25 CHECKPOINT_MODEL,26 EVAL_NUM_EPOCHS,27 EVAL_NUM_EXAMPLES,28 EPOCHS,29)30from rasa.shared.exceptions import InvalidConfigException31def test_align_token_features():32 tokens = [33 Token("This", 0, data={NUMBER_OF_SUB_TOKENS: 1}),34 Token("is", 5, data={NUMBER_OF_SUB_TOKENS: 1}),35 Token("a", 8, data={NUMBER_OF_SUB_TOKENS: 1}),36 Token("sentence", 10, data={NUMBER_OF_SUB_TOKENS: 2}),37 Token("embedding", 19, data={NUMBER_OF_SUB_TOKENS: 4}),38 ]39 seq_dim = sum(t.get(NUMBER_OF_SUB_TOKENS) for t in tokens)40 token_features = np.random.rand(1, seq_dim, 64)41 actual_features = train_utils.align_token_features([tokens], token_features)42 assert np.all(actual_features[0][0] == token_features[0][0])43 assert np.all(actual_features[0][1] == token_features[0][1])44 assert np.all(actual_features[0][2] == token_features[0][2])45 # sentence is split into 2 sub-tokens46 assert np.all(actual_features[0][3] == np.mean(token_features[0][3:5], axis=0))47 # embedding is split into 4 sub-tokens48 assert np.all(actual_features[0][4] == np.mean(token_features[0][5:10], axis=0))49@pytest.mark.parametrize(50 (51 "input_values, ranking_length, renormalize, possible_output_values, "52 " resulting_ranking_length"53 ),54 [55 # keep the top 256 ([0.1, 0.4, 0.01], 2, False, [[0.1, 0.4, 0.0]], 2),57 # normalize top 258 ([0.1, 0.4, 0.01], 2, True, [[0.2, 0.8, 0.0]], 2),59 # 2 possible values that could be excluded60 ([0.1, 0.4, 0.1], 2, True, [[0.0, 0.8, 0.2], [0.2, 0.8, 0.0]], 2),61 # ranking_length > num_confidences => ranking_length := num_confidences62 ([0.1, 0.3, 0.2], 5, False, [[0.1, 0.3, 0.2]], 3),63 # ranking_length > num_confidences => ranking_length := num_confidences64 ([0.1, 0.3, 0.1], 5, True, [[0.1, 0.3, 0.1]], 3),65 # ranking_length == 0 => ranking_length := num_confidences66 ([0.1, 0.3, 0.1], 0, True, [[0.1, 0.3, 0.1]], 3),67 ],68)69def test_rank_and_mask(70 input_values: List[float],71 ranking_length: int,72 possible_output_values: List[List[float]],73 renormalize: bool,74 resulting_ranking_length: int,75):76 confidences = np.array(input_values)77 indices, modified_confidences = train_utils.rank_and_mask(78 confidences=confidences, ranking_length=ranking_length, renormalize=renormalize79 )80 assert any(81 np.allclose(modified_confidences, np.array(possible_output))82 for possible_output in possible_output_values83 )84 assert np.allclose(85 sorted(input_values, reverse=True)[:resulting_ranking_length],86 confidences[indices],87 )88@pytest.mark.parametrize(89 "split_entities_config, expected_initialized_config",90 [91 (92 SPLIT_ENTITIES_BY_COMMA_DEFAULT_VALUE,93 {SPLIT_ENTITIES_BY_COMMA: SPLIT_ENTITIES_BY_COMMA_DEFAULT_VALUE},94 ),95 (96 {"address": False, "ingredients": True},97 {98 "address": False,99 "ingredients": True,100 SPLIT_ENTITIES_BY_COMMA: SPLIT_ENTITIES_BY_COMMA_DEFAULT_VALUE,101 },102 ),103 ],104)105def test_init_split_entities_config(106 split_entities_config: Any, expected_initialized_config: Dict[(str, bool)]107):108 assert (109 train_utils.init_split_entities(110 split_entities_config, SPLIT_ENTITIES_BY_COMMA_DEFAULT_VALUE111 )112 == expected_initialized_config113 )114@pytest.mark.parametrize(115 "component_config, raises_exception",116 [117 ({MODEL_CONFIDENCE: SOFTMAX, LOSS_TYPE: MARGIN}, True),118 ({MODEL_CONFIDENCE: SOFTMAX, LOSS_TYPE: CROSS_ENTROPY}, False),119 ({MODEL_CONFIDENCE: INNER, LOSS_TYPE: MARGIN}, True),120 ({MODEL_CONFIDENCE: INNER, LOSS_TYPE: CROSS_ENTROPY}, True),121 ({MODEL_CONFIDENCE: COSINE, LOSS_TYPE: MARGIN}, True),122 ({MODEL_CONFIDENCE: COSINE, LOSS_TYPE: CROSS_ENTROPY}, True),123 ],124)125def test_confidence_loss_settings(126 component_config: Dict[Text, Any], raises_exception: bool127):128 component_config[SIMILARITY_TYPE] = INNER129 if raises_exception:130 with pytest.raises(InvalidConfigException):131 train_utils._check_confidence_setting(component_config)132 else:133 train_utils._check_confidence_setting(component_config)134@pytest.mark.parametrize(135 "component_config, raises_exception",136 [137 ({MODEL_CONFIDENCE: SOFTMAX, SIMILARITY_TYPE: INNER}, False),138 ({MODEL_CONFIDENCE: SOFTMAX, SIMILARITY_TYPE: COSINE}, True),139 ],140)141def test_confidence_similarity_settings(142 component_config: Dict[Text, Any], raises_exception: bool143):144 component_config[LOSS_TYPE] = CROSS_ENTROPY145 if raises_exception:146 with pytest.raises(InvalidConfigException):147 train_utils._check_confidence_setting(component_config)148 else:149 train_utils._check_confidence_setting(component_config)150@pytest.mark.parametrize(151 "component_config, raises_exception",152 [153 (154 {155 MODEL_CONFIDENCE: SOFTMAX,156 SIMILARITY_TYPE: INNER,157 RENORMALIZE_CONFIDENCES: True,158 RANKING_LENGTH: 10,159 },160 False,161 ),162 (163 {164 MODEL_CONFIDENCE: SOFTMAX,165 SIMILARITY_TYPE: INNER,166 RENORMALIZE_CONFIDENCES: False,167 RANKING_LENGTH: 10,168 },169 False,170 ),171 (172 {173 MODEL_CONFIDENCE: AUTO,174 SIMILARITY_TYPE: INNER,175 RENORMALIZE_CONFIDENCES: True,176 RANKING_LENGTH: 10,177 },178 True,179 ),180 (181 {182 MODEL_CONFIDENCE: AUTO,183 SIMILARITY_TYPE: INNER,184 RENORMALIZE_CONFIDENCES: False,185 RANKING_LENGTH: 10,186 },187 False,188 ),189 ],190)191def test_confidence_renormalization_settings(192 component_config: Dict[Text, Any], raises_exception: bool193):194 component_config[LOSS_TYPE] = CROSS_ENTROPY195 if raises_exception:196 with pytest.raises(InvalidConfigException):197 train_utils._check_confidence_setting(component_config)198 else:199 train_utils._check_confidence_setting(component_config)200@pytest.mark.parametrize(201 "component_config, model_confidence",202 [203 ({MODEL_CONFIDENCE: SOFTMAX, LOSS_TYPE: MARGIN}, AUTO),204 ({MODEL_CONFIDENCE: SOFTMAX, LOSS_TYPE: CROSS_ENTROPY}, SOFTMAX),205 ],206)207def test_update_confidence_type(208 component_config: Dict[Text, Text], model_confidence: Text209):210 component_config = train_utils.update_confidence_type(component_config)211 assert component_config[MODEL_CONFIDENCE] == model_confidence212@pytest.mark.parametrize(213 "component_config, raises_exception",214 [215 ({TOLERANCE: 0.5}, False),216 ({TOLERANCE: 0.0}, False),217 ({TOLERANCE: 1.0}, False),218 ({TOLERANCE: -1.0}, True),219 ({TOLERANCE: 2.0}, True),220 ({}, False),221 ],222)223def test_tolerance_setting(component_config: Dict[Text, float], raises_exception: bool):224 if raises_exception:225 with pytest.raises(InvalidConfigException):226 train_utils._check_tolerance_setting(component_config)227 else:228 train_utils._check_tolerance_setting(component_config)229@pytest.mark.parametrize(230 "component_config",231 [232 (233 {234 CHECKPOINT_MODEL: True,235 EVAL_NUM_EPOCHS: -2,236 EVAL_NUM_EXAMPLES: 10,237 EPOCHS: 5,238 }239 ),240 (241 {242 CHECKPOINT_MODEL: True,243 EVAL_NUM_EPOCHS: 0,244 EVAL_NUM_EXAMPLES: 10,245 EPOCHS: 5,246 }247 ),248 ],249)250def test_warning_incorrect_eval_num_epochs(component_config: Dict[Text, Text]):251 with pytest.warns(UserWarning) as record:252 train_utils._check_evaluation_setting(component_config)253 assert len(record) == 1254 assert (255 f"'{EVAL_NUM_EPOCHS}' is not -1 or greater than 0. Training will fail"256 in record[0].message.args[0]257 )258@pytest.mark.parametrize(259 "component_config",260 [261 ({CHECKPOINT_MODEL: True, EVAL_NUM_EPOCHS: 10, EPOCHS: 5}),262 ({CHECKPOINT_MODEL: False, EVAL_NUM_EPOCHS: 10, EPOCHS: 5}),263 ],264)265def test_warning_eval_num_epochs_greater_than_epochs(266 component_config: Dict[Text, Text]267):268 warning = (269 f"'{EVAL_NUM_EPOCHS}={component_config[EVAL_NUM_EPOCHS]}' is "270 f"greater than '{EPOCHS}={component_config[EPOCHS]}'."271 f" No evaluation will occur."272 )273 with pytest.warns(UserWarning) as record:274 train_utils._check_evaluation_setting(component_config)275 assert len(record) == 1276 if component_config[CHECKPOINT_MODEL]:277 warning = (278 f"You have opted to save the best model, but {warning} "279 "No checkpoint model will be saved."280 )281 assert warning in record[0].message.args[0]282@pytest.mark.parametrize(283 "component_config",284 [285 ({CHECKPOINT_MODEL: True, EVAL_NUM_EPOCHS: 1, EVAL_NUM_EXAMPLES: 0, EPOCHS: 5}),286 (287 {288 CHECKPOINT_MODEL: True,289 EVAL_NUM_EPOCHS: 1,290 EVAL_NUM_EXAMPLES: -1,291 EPOCHS: 5,292 }293 ),294 ],295)296def test_warning_incorrect_eval_num_examples(component_config: Dict[Text, Text]):297 with pytest.warns(UserWarning) as record:298 train_utils._check_evaluation_setting(component_config)299 assert len(record) == 1300 assert (301 f"'{EVAL_NUM_EXAMPLES}' is not greater than 0. No checkpoint model "302 f"will be saved"303 ) in record[0].message.args[0]304@pytest.mark.parametrize(305 "component_config",306 [307 (308 {309 CHECKPOINT_MODEL: False,310 EVAL_NUM_EPOCHS: 0,311 EVAL_NUM_EXAMPLES: 0,312 EPOCHS: 5,313 }314 ),315 (316 {317 CHECKPOINT_MODEL: True,318 EVAL_NUM_EPOCHS: 1,319 EVAL_NUM_EXAMPLES: 10,320 EPOCHS: 5,321 }322 ),323 ],324)325def test_no_warning_correct_checkpoint_setting(component_config: Dict[Text, Text]):326 with pytest.warns(None) as record:327 train_utils._check_evaluation_setting(component_config)...
tests.py
Source:tests.py
...48 # Backup original environment variable49 address_predefined = 'DJANGO_LIVE_TEST_SERVER_ADDRESS' in os.environ50 old_address = os.environ.get('DJANGO_LIVE_TEST_SERVER_ADDRESS')51 # Just the host is not accepted52 cls.raises_exception('localhost', ImproperlyConfigured)53 # The host must be valid54 cls.raises_exception('blahblahblah:8081', WSGIServerException)55 # The list of ports must be in a valid format56 cls.raises_exception('localhost:8081,', ImproperlyConfigured)57 cls.raises_exception('localhost:8081,blah', ImproperlyConfigured)58 cls.raises_exception('localhost:8081-', ImproperlyConfigured)59 cls.raises_exception('localhost:8081-blah', ImproperlyConfigured)60 cls.raises_exception('localhost:8081-8082-8083', ImproperlyConfigured)61 # If contrib.staticfiles isn't configured properly, the exception62 # should bubble up to the main thread.63 old_STATIC_URL = TEST_SETTINGS['STATIC_URL']64 TEST_SETTINGS['STATIC_URL'] = None65 cls.raises_exception('localhost:8081', ImproperlyConfigured)66 TEST_SETTINGS['STATIC_URL'] = old_STATIC_URL67 # Restore original environment variable68 if address_predefined:69 os.environ['DJANGO_LIVE_TEST_SERVER_ADDRESS'] = old_address70 else:71 del os.environ['DJANGO_LIVE_TEST_SERVER_ADDRESS']72 @classmethod73 def raises_exception(cls, address, exception):74 os.environ['DJANGO_LIVE_TEST_SERVER_ADDRESS'] = address75 try:76 super(LiveServerAddress, cls).setUpClass()77 raise Exception("The line above should have raised an exception")78 except exception:79 pass80 finally:81 super(LiveServerAddress, cls).tearDownClass()82 def test_test_test(self):83 # Intentionally empty method so that the test is picked up by the84 # test runner and the overriden setUpClass() method is executed.85 pass86class LiveServerViews(LiveServerBase):87 def test_404(self):...
test_host_alibaba.py
Source:test_host_alibaba.py
1# coding=utf-82"""apyfal.host.aws tests"""3import json4import pytest5from tests.test_host_csp import run_full_real_test_sequence, import_from_generic_test6def test_alibibaclass_import():7 """AlibabaHost import"""8 # Test: Import by factory without errors9 import_from_generic_test('Alibaba')10def test_alibibaclass_request():11 """AlibabaHost._request"""12 import apyfal.host.alibaba as alibaba13 from apyfal.host.alibaba import AlibabaCSP14 import apyfal.exceptions as exc15 from aliyunsdkcore import client16 from aliyunsdkcore.acs_exception.exceptions import ServerException17 # Mocks some variables18 client_id = 'dummy_access_key'19 secret_id = 'dummy_secret_key'20 region = 'dummy_region_id'21 action = 'DummyAction'22 parameters = {'DummyString': 'dummy_value',23 'DummyNumber': 0,24 'DummyList': ['dummy_value']}25 response = {'DummyResponse': 0}26 raises_exception = []27 status_desc = 'testing'28 # Mocks client29 class DummyAcsClient:30 """Mocked AcsClient"""31 def __init__(self, ak, secret, region_id):32 """Checks parameters"""33 assert ak == client_id34 assert secret == secret_id35 assert region_id == region36 @staticmethod37 def do_action_with_exception(acs_request):38 """Checks parameters returns fake response and39 raise exceptions"""40 # Checks request41 assert acs_request.get_action_name() == action42 acs_request_params = acs_request.get_query_params()43 for param in parameters:44 assert param in acs_request_params45 assert isinstance(acs_request_params[param], str)46 assert 'ClientToken' in acs_request_params47 assert acs_request.get_protocol_type() == "https"48 # Raises fake exceptions49 if raises_exception:50 raise ServerException(*raises_exception)51 # Returns fake response52 return json.dumps(response)53 client_acs_client = client.AcsClient54 client.AcsClient = DummyAcsClient55 alibaba._AcsClient = DummyAcsClient56 # Tests57 try:58 csp = AlibabaCSP(client_id=client_id, secret_id=secret_id, region=region)59 # Everything OK60 assert csp._request(action, **parameters) == response61 # Raise exception62 raises_exception = ['DummyCode', 'dummy_message']63 with pytest.raises(exc.HostRuntimeException) as exc_info:64 csp._request(action, **parameters)65 for part in raises_exception:66 assert part in exc_info67 raises_exception[0] = 'InvalidParameter'68 with pytest.raises(exc.HostConfigurationException):69 csp._request(action, **parameters)70 raises_exception[0] = 'InvalidAccessKey'71 with pytest.raises(exc.HostAuthenticationException):72 csp._request(action, **parameters)73 # Filter codes74 raises_exception[0] = 'DummyCode'75 with pytest.raises(ServerException):76 csp._request(action, error_code_filter='DummyCode', **parameters)77 assert csp._request(78 action, error_code_ignore='DummyCode', **parameters) is None79 # Test "_instance_request"80 raises_exception = []81 assert csp._instance_request(action, **parameters) == response82 # Tests "_instance_request" timeout if instance with incorrect status83 raises_exception = ['IncorrectInstanceStatus', 'dummy_message']84 parameters['InstanceId'] = 'dummy_instance_id'85 csp.TIMEOUT = 0.086 with pytest.raises(exc.HostRuntimeException) as exc_info:87 csp._instance_request(action, status_desc=status_desc, **parameters)88 assert status_desc in exc_info89 # Tests "_instance_request" stills throw other exceptions90 raises_exception[0] = 'DummyCode'91 with pytest.raises(exc.HostRuntimeException) as exc_info:92 csp._instance_request(action, status_desc=status_desc, **parameters)93 for part in raises_exception:94 assert part in exc_info95 # Restore AcsClient96 finally:97 client.AcsClient = client_acs_client98 alibaba._AcsClient = client_acs_client99@pytest.mark.need_csp100@pytest.mark.need_csp_alibaba101def test_alibabaclass_real():102 """AlibabaHost in real case"""103 run_full_real_test_sequence('Alibaba', {104 'cn-hangzhou': {105 # Image name: Debian 8.9 64bit / 20Go HDD106 'image': 'debian_8_09_64_20G_alibase_20170824.vhd',107 'instancetype': 'ecs.t5-lc2m1.nano',...
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