Best Python code snippet using localstack_python
test_transcribe_boto3.py
Source:test_transcribe_boto3.py
...287 VocabularyFileUri="https://s3.us-east-1.amazonaws.com/AWSDOC-EXAMPLE-BUCKET/vocab.txt",288 )289 resp["ResponseMetadata"]["HTTPStatusCode"].should.equal(200)290 # PENDING291 resp = client.get_medical_vocabulary(VocabularyName=vocabulary_name)292 resp["ResponseMetadata"]["HTTPStatusCode"].should.equal(200)293 resp["VocabularyName"].should.equal(vocabulary_name)294 resp["LanguageCode"].should.equal("en-US")295 resp["VocabularyState"].should.equal("PENDING")296 resp.should.contain("LastModifiedTime")297 resp.shouldnt.contain("FailureReason")298 resp["DownloadUri"].should.contain(vocabulary_name)299 # IN_PROGRESS300 resp = client.get_medical_vocabulary(VocabularyName=vocabulary_name)301 resp["ResponseMetadata"]["HTTPStatusCode"].should.equal(200)302 resp["VocabularyState"].should.equal("READY")303 # Delete304 client.delete_medical_vocabulary(VocabularyName=vocabulary_name)305 client.get_medical_vocabulary.when.called_with(306 VocabularyName=vocabulary_name307 ).should.throw(client.exceptions.BadRequestException)308@mock_transcribe309def test_get_nonexistent_medical_vocabulary():310 region_name = "us-east-1"311 client = boto3.client("transcribe", region_name=region_name)312 client.get_medical_vocabulary.when.called_with(313 VocabularyName="NonexistentVocabularyName"314 ).should.throw(client.exceptions.BadRequestException)...
responses.py
Source:responses.py
...67 vocabulary_file_uri=vocabulary_file_uri,68 )69 return json.dumps(response)70 @amzn_request_id71 def get_medical_vocabulary(self):72 vocabulary_name = self._get_param("VocabularyName")73 response = self.transcribe_backend.get_medical_vocabulary(74 vocabulary_name=vocabulary_name75 )76 return json.dumps(response)77 @amzn_request_id78 def list_medical_vocabularies(self):79 state_equals = self._get_param("StateEquals")80 name_contains = self._get_param("NameContains")81 next_token = self._get_param("NextToken")82 max_results = self._get_param("MaxResults")83 response = self.transcribe_backend.list_medical_vocabularies(84 state_equals=state_equals,85 name_contains=name_contains,86 next_token=next_token,87 max_results=max_results,...
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