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How to use list_language_models method in localstack

Best Python code snippet using localstack_python

aws_transcribe_info.py

Source:aws_transcribe_info.py

...105                    StatusEquals=module.params['status'],106                    NameContains=module.params['name_contains'],107                ), True108            else:109                return client.list_language_models(110                    StatusEquals=module.params['status'],111                    NameContains=module.params['name_contains'],112                ), False113        elif module.params['list_medical_transcription_jobs']:114            if client.can_paginate('list_medical_transcription_jobs'):115                paginator = client.get_paginator('list_medical_transcription_jobs')116                return paginator.paginate(117                    Status=module.params['status'],118                    JobNameContains=module.params['name_contains'],119                ), True120            else:121                return client.list_medical_transcription_jobs(122                    Status=module.params['status'],123                    JobNameContains=module.params['name_contains'],...

test_speech_to_text_v1.py

Source:test_speech_to_text_v1.py

...15            '1',16            'X-Watson-Test':17            '1'18        })19        self.custom_models = self.speech_to_text.list_language_models()20        self.create_custom_model = self.speech_to_text.create_language_model(21            name="integration_test_model",22            base_model_name="en-US_BroadbandModel")23        self.customization_id = self.create_custom_model['customization_id']24    def tearDown(self):25        self.speech_to_text.delete_language_model(26            customization_id=self.create_custom_model['customization_id'])27    def test_models(self):28        output = self.speech_to_text.list_models()29        assert output is not None30        model = self.speech_to_text.get_model('ko-KR_BroadbandModel')31        assert model is not None32        try:33            self.speech_to_text.get_model('bogus')34        except Exception as e:35            assert 'X-global-transaction-id:' in str(e)36    def test_create_custom_model(self):37        current_custom_models = self.speech_to_text.list_language_models()38        assert len(current_custom_models['customizations']) - len(39            self.custom_models['customizations']) >= 140    def test_recognize(self):41        with open(os.path.join(os.path.dirname(__file__), '../../resources/speech.wav'), 'rb') as audio_file:42            output = self.speech_to_text.recognize(43                audio=audio_file, content_type='audio/l16; rate=44100')44        assert output['results'][0]['alternatives'][0][45            'transcript'] == 'thunderstorms could produce large hail isolated tornadoes and heavy rain '46    def test_recognitions(self):47        output = self.speech_to_text.check_jobs()48        assert output is not None49    def test_custom_corpora(self):50        output = self.speech_to_text.list_corpora(self.customization_id)51        assert len(output['corpora']) == 0 # pylint: disable=len-as-condition...

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