diff --git a/google/cloud/language_v1/services/language_service/async_client.py b/google/cloud/language_v1/services/language_service/async_client.py index e830dad3..53bc2c78 100644 --- a/google/cloud/language_v1/services/language_service/async_client.py +++ b/google/cloud/language_v1/services/language_service/async_client.py @@ -213,6 +213,28 @@ async def analyze_sentiment( ) -> language_service.AnalyzeSentimentResponse: r"""Analyzes the sentiment of the provided text. + .. code-block:: + + from google.cloud import language_v1 + + def sample_analyze_sentiment(): + # Create a client + client = language_v1.LanguageServiceClient() + + # Initialize request argument(s) + document = language_v1.Document() + document.content = "content_value" + + request = language_v1.AnalyzeSentimentRequest( + document=document, + ) + + # Make the request + response = client.analyze_sentiment(request=request) + + # Handle the response + print(response) + Args: request (Union[google.cloud.language_v1.types.AnalyzeSentimentRequest, dict]): The request object. The sentiment analysis request @@ -299,6 +321,29 @@ async def analyze_entities( salience, mentions for each entity, and other properties. + + .. code-block:: + + from google.cloud import language_v1 + + def sample_analyze_entities(): + # Create a client + client = language_v1.LanguageServiceClient() + + # Initialize request argument(s) + document = language_v1.Document() + document.content = "content_value" + + request = language_v1.AnalyzeEntitiesRequest( + document=document, + ) + + # Make the request + response = client.analyze_entities(request=request) + + # Handle the response + print(response) + Args: request (Union[google.cloud.language_v1.types.AnalyzeEntitiesRequest, dict]): The request object. The entity analysis request message. @@ -382,6 +427,29 @@ async def analyze_entity_sentiment( in the text and analyzes sentiment associated with each entity and its mentions. + + .. code-block:: + + from google.cloud import language_v1 + + def sample_analyze_entity_sentiment(): + # Create a client + client = language_v1.LanguageServiceClient() + + # Initialize request argument(s) + document = language_v1.Document() + document.content = "content_value" + + request = language_v1.AnalyzeEntitySentimentRequest( + document=document, + ) + + # Make the request + response = client.analyze_entity_sentiment(request=request) + + # Handle the response + print(response) + Args: request (Union[google.cloud.language_v1.types.AnalyzeEntitySentimentRequest, dict]): The request object. The entity-level sentiment analysis @@ -467,6 +535,29 @@ async def analyze_syntax( boundaries and tokenization along with part of speech tags, dependency trees, and other properties. + + .. code-block:: + + from google.cloud import language_v1 + + def sample_analyze_syntax(): + # Create a client + client = language_v1.LanguageServiceClient() + + # Initialize request argument(s) + document = language_v1.Document() + document.content = "content_value" + + request = language_v1.AnalyzeSyntaxRequest( + document=document, + ) + + # Make the request + response = client.analyze_syntax(request=request) + + # Handle the response + print(response) + Args: request (Union[google.cloud.language_v1.types.AnalyzeSyntaxRequest, dict]): The request object. The syntax analysis request message. @@ -546,6 +637,28 @@ async def classify_text( ) -> language_service.ClassifyTextResponse: r"""Classifies a document into categories. + .. code-block:: + + from google.cloud import language_v1 + + def sample_classify_text(): + # Create a client + client = language_v1.LanguageServiceClient() + + # Initialize request argument(s) + document = language_v1.Document() + document.content = "content_value" + + request = language_v1.ClassifyTextRequest( + document=document, + ) + + # Make the request + response = client.classify_text(request=request) + + # Handle the response + print(response) + Args: request (Union[google.cloud.language_v1.types.ClassifyTextRequest, dict]): The request object. The document classification request @@ -623,6 +736,29 @@ async def annotate_text( that analyzeSentiment, analyzeEntities, and analyzeSyntax provide in one call. + + .. code-block:: + + from google.cloud import language_v1 + + def sample_annotate_text(): + # Create a client + client = language_v1.LanguageServiceClient() + + # Initialize request argument(s) + document = language_v1.Document() + document.content = "content_value" + + request = language_v1.AnnotateTextRequest( + document=document, + ) + + # Make the request + response = client.annotate_text(request=request) + + # Handle the response + print(response) + Args: request (Union[google.cloud.language_v1.types.AnnotateTextRequest, dict]): The request object. The request message for the text diff --git a/google/cloud/language_v1/services/language_service/client.py b/google/cloud/language_v1/services/language_service/client.py index c3bc0fbc..9134e527 100644 --- a/google/cloud/language_v1/services/language_service/client.py +++ b/google/cloud/language_v1/services/language_service/client.py @@ -396,6 +396,29 @@ def analyze_sentiment( ) -> language_service.AnalyzeSentimentResponse: r"""Analyzes the sentiment of the provided text. + + .. code-block:: + + from google.cloud import language_v1 + + def sample_analyze_sentiment(): + # Create a client + client = language_v1.LanguageServiceClient() + + # Initialize request argument(s) + document = language_v1.Document() + document.content = "content_value" + + request = language_v1.AnalyzeSentimentRequest( + document=document, + ) + + # Make the request + response = client.analyze_sentiment(request=request) + + # Handle the response + print(response) + Args: request (Union[google.cloud.language_v1.types.AnalyzeSentimentRequest, dict]): The request object. The sentiment analysis request @@ -472,6 +495,30 @@ def analyze_entities( salience, mentions for each entity, and other properties. + + + .. code-block:: + + from google.cloud import language_v1 + + def sample_analyze_entities(): + # Create a client + client = language_v1.LanguageServiceClient() + + # Initialize request argument(s) + document = language_v1.Document() + document.content = "content_value" + + request = language_v1.AnalyzeEntitiesRequest( + document=document, + ) + + # Make the request + response = client.analyze_entities(request=request) + + # Handle the response + print(response) + Args: request (Union[google.cloud.language_v1.types.AnalyzeEntitiesRequest, dict]): The request object. The entity analysis request message. @@ -545,6 +592,30 @@ def analyze_entity_sentiment( in the text and analyzes sentiment associated with each entity and its mentions. + + + .. code-block:: + + from google.cloud import language_v1 + + def sample_analyze_entity_sentiment(): + # Create a client + client = language_v1.LanguageServiceClient() + + # Initialize request argument(s) + document = language_v1.Document() + document.content = "content_value" + + request = language_v1.AnalyzeEntitySentimentRequest( + document=document, + ) + + # Make the request + response = client.analyze_entity_sentiment(request=request) + + # Handle the response + print(response) + Args: request (Union[google.cloud.language_v1.types.AnalyzeEntitySentimentRequest, dict]): The request object. The entity-level sentiment analysis @@ -620,6 +691,30 @@ def analyze_syntax( boundaries and tokenization along with part of speech tags, dependency trees, and other properties. + + + .. code-block:: + + from google.cloud import language_v1 + + def sample_analyze_syntax(): + # Create a client + client = language_v1.LanguageServiceClient() + + # Initialize request argument(s) + document = language_v1.Document() + document.content = "content_value" + + request = language_v1.AnalyzeSyntaxRequest( + document=document, + ) + + # Make the request + response = client.analyze_syntax(request=request) + + # Handle the response + print(response) + Args: request (Union[google.cloud.language_v1.types.AnalyzeSyntaxRequest, dict]): The request object. The syntax analysis request message. @@ -689,6 +784,29 @@ def classify_text( ) -> language_service.ClassifyTextResponse: r"""Classifies a document into categories. + + .. code-block:: + + from google.cloud import language_v1 + + def sample_classify_text(): + # Create a client + client = language_v1.LanguageServiceClient() + + # Initialize request argument(s) + document = language_v1.Document() + document.content = "content_value" + + request = language_v1.ClassifyTextRequest( + document=document, + ) + + # Make the request + response = client.classify_text(request=request) + + # Handle the response + print(response) + Args: request (Union[google.cloud.language_v1.types.ClassifyTextRequest, dict]): The request object. The document classification request @@ -756,6 +874,30 @@ def annotate_text( that analyzeSentiment, analyzeEntities, and analyzeSyntax provide in one call. + + + .. code-block:: + + from google.cloud import language_v1 + + def sample_annotate_text(): + # Create a client + client = language_v1.LanguageServiceClient() + + # Initialize request argument(s) + document = language_v1.Document() + document.content = "content_value" + + request = language_v1.AnnotateTextRequest( + document=document, + ) + + # Make the request + response = client.annotate_text(request=request) + + # Handle the response + print(response) + Args: request (Union[google.cloud.language_v1.types.AnnotateTextRequest, dict]): The request object. The request message for the text diff --git a/google/cloud/language_v1beta2/services/language_service/async_client.py b/google/cloud/language_v1beta2/services/language_service/async_client.py index a74c38d4..293021a8 100644 --- a/google/cloud/language_v1beta2/services/language_service/async_client.py +++ b/google/cloud/language_v1beta2/services/language_service/async_client.py @@ -213,6 +213,28 @@ async def analyze_sentiment( ) -> language_service.AnalyzeSentimentResponse: r"""Analyzes the sentiment of the provided text. + .. code-block:: + + from google.cloud import language_v1beta2 + + def sample_analyze_sentiment(): + # Create a client + client = language_v1beta2.LanguageServiceClient() + + # Initialize request argument(s) + document = language_v1beta2.Document() + document.content = "content_value" + + request = language_v1beta2.AnalyzeSentimentRequest( + document=document, + ) + + # Make the request + response = client.analyze_sentiment(request=request) + + # Handle the response + print(response) + Args: request (Union[google.cloud.language_v1beta2.types.AnalyzeSentimentRequest, dict]): The request object. The sentiment analysis request @@ -300,6 +322,29 @@ async def analyze_entities( salience, mentions for each entity, and other properties. + + .. code-block:: + + from google.cloud import language_v1beta2 + + def sample_analyze_entities(): + # Create a client + client = language_v1beta2.LanguageServiceClient() + + # Initialize request argument(s) + document = language_v1beta2.Document() + document.content = "content_value" + + request = language_v1beta2.AnalyzeEntitiesRequest( + document=document, + ) + + # Make the request + response = client.analyze_entities(request=request) + + # Handle the response + print(response) + Args: request (Union[google.cloud.language_v1beta2.types.AnalyzeEntitiesRequest, dict]): The request object. The entity analysis request message. @@ -383,6 +428,29 @@ async def analyze_entity_sentiment( in the text and analyzes sentiment associated with each entity and its mentions. + + .. code-block:: + + from google.cloud import language_v1beta2 + + def sample_analyze_entity_sentiment(): + # Create a client + client = language_v1beta2.LanguageServiceClient() + + # Initialize request argument(s) + document = language_v1beta2.Document() + document.content = "content_value" + + request = language_v1beta2.AnalyzeEntitySentimentRequest( + document=document, + ) + + # Make the request + response = client.analyze_entity_sentiment(request=request) + + # Handle the response + print(response) + Args: request (Union[google.cloud.language_v1beta2.types.AnalyzeEntitySentimentRequest, dict]): The request object. The entity-level sentiment analysis @@ -468,6 +536,29 @@ async def analyze_syntax( boundaries and tokenization along with part-of-speech tags, dependency trees, and other properties. + + .. code-block:: + + from google.cloud import language_v1beta2 + + def sample_analyze_syntax(): + # Create a client + client = language_v1beta2.LanguageServiceClient() + + # Initialize request argument(s) + document = language_v1beta2.Document() + document.content = "content_value" + + request = language_v1beta2.AnalyzeSyntaxRequest( + document=document, + ) + + # Make the request + response = client.analyze_syntax(request=request) + + # Handle the response + print(response) + Args: request (Union[google.cloud.language_v1beta2.types.AnalyzeSyntaxRequest, dict]): The request object. The syntax analysis request message. @@ -547,6 +638,28 @@ async def classify_text( ) -> language_service.ClassifyTextResponse: r"""Classifies a document into categories. + .. code-block:: + + from google.cloud import language_v1beta2 + + def sample_classify_text(): + # Create a client + client = language_v1beta2.LanguageServiceClient() + + # Initialize request argument(s) + document = language_v1beta2.Document() + document.content = "content_value" + + request = language_v1beta2.ClassifyTextRequest( + document=document, + ) + + # Make the request + response = client.classify_text(request=request) + + # Handle the response + print(response) + Args: request (Union[google.cloud.language_v1beta2.types.ClassifyTextRequest, dict]): The request object. The document classification request @@ -624,6 +737,29 @@ async def annotate_text( sentiment, entity, and classification features in one call. + + .. code-block:: + + from google.cloud import language_v1beta2 + + def sample_annotate_text(): + # Create a client + client = language_v1beta2.LanguageServiceClient() + + # Initialize request argument(s) + document = language_v1beta2.Document() + document.content = "content_value" + + request = language_v1beta2.AnnotateTextRequest( + document=document, + ) + + # Make the request + response = client.annotate_text(request=request) + + # Handle the response + print(response) + Args: request (Union[google.cloud.language_v1beta2.types.AnnotateTextRequest, dict]): The request object. The request message for the text diff --git a/google/cloud/language_v1beta2/services/language_service/client.py b/google/cloud/language_v1beta2/services/language_service/client.py index 8b29f11b..c5da1c42 100644 --- a/google/cloud/language_v1beta2/services/language_service/client.py +++ b/google/cloud/language_v1beta2/services/language_service/client.py @@ -396,6 +396,29 @@ def analyze_sentiment( ) -> language_service.AnalyzeSentimentResponse: r"""Analyzes the sentiment of the provided text. + + .. code-block:: + + from google.cloud import language_v1beta2 + + def sample_analyze_sentiment(): + # Create a client + client = language_v1beta2.LanguageServiceClient() + + # Initialize request argument(s) + document = language_v1beta2.Document() + document.content = "content_value" + + request = language_v1beta2.AnalyzeSentimentRequest( + document=document, + ) + + # Make the request + response = client.analyze_sentiment(request=request) + + # Handle the response + print(response) + Args: request (Union[google.cloud.language_v1beta2.types.AnalyzeSentimentRequest, dict]): The request object. The sentiment analysis request @@ -473,6 +496,30 @@ def analyze_entities( salience, mentions for each entity, and other properties. + + + .. code-block:: + + from google.cloud import language_v1beta2 + + def sample_analyze_entities(): + # Create a client + client = language_v1beta2.LanguageServiceClient() + + # Initialize request argument(s) + document = language_v1beta2.Document() + document.content = "content_value" + + request = language_v1beta2.AnalyzeEntitiesRequest( + document=document, + ) + + # Make the request + response = client.analyze_entities(request=request) + + # Handle the response + print(response) + Args: request (Union[google.cloud.language_v1beta2.types.AnalyzeEntitiesRequest, dict]): The request object. The entity analysis request message. @@ -546,6 +593,30 @@ def analyze_entity_sentiment( in the text and analyzes sentiment associated with each entity and its mentions. + + + .. code-block:: + + from google.cloud import language_v1beta2 + + def sample_analyze_entity_sentiment(): + # Create a client + client = language_v1beta2.LanguageServiceClient() + + # Initialize request argument(s) + document = language_v1beta2.Document() + document.content = "content_value" + + request = language_v1beta2.AnalyzeEntitySentimentRequest( + document=document, + ) + + # Make the request + response = client.analyze_entity_sentiment(request=request) + + # Handle the response + print(response) + Args: request (Union[google.cloud.language_v1beta2.types.AnalyzeEntitySentimentRequest, dict]): The request object. The entity-level sentiment analysis @@ -621,6 +692,30 @@ def analyze_syntax( boundaries and tokenization along with part-of-speech tags, dependency trees, and other properties. + + + .. code-block:: + + from google.cloud import language_v1beta2 + + def sample_analyze_syntax(): + # Create a client + client = language_v1beta2.LanguageServiceClient() + + # Initialize request argument(s) + document = language_v1beta2.Document() + document.content = "content_value" + + request = language_v1beta2.AnalyzeSyntaxRequest( + document=document, + ) + + # Make the request + response = client.analyze_syntax(request=request) + + # Handle the response + print(response) + Args: request (Union[google.cloud.language_v1beta2.types.AnalyzeSyntaxRequest, dict]): The request object. The syntax analysis request message. @@ -690,6 +785,29 @@ def classify_text( ) -> language_service.ClassifyTextResponse: r"""Classifies a document into categories. + + .. code-block:: + + from google.cloud import language_v1beta2 + + def sample_classify_text(): + # Create a client + client = language_v1beta2.LanguageServiceClient() + + # Initialize request argument(s) + document = language_v1beta2.Document() + document.content = "content_value" + + request = language_v1beta2.ClassifyTextRequest( + document=document, + ) + + # Make the request + response = client.classify_text(request=request) + + # Handle the response + print(response) + Args: request (Union[google.cloud.language_v1beta2.types.ClassifyTextRequest, dict]): The request object. The document classification request @@ -757,6 +875,30 @@ def annotate_text( sentiment, entity, and classification features in one call. + + + .. code-block:: + + from google.cloud import language_v1beta2 + + def sample_annotate_text(): + # Create a client + client = language_v1beta2.LanguageServiceClient() + + # Initialize request argument(s) + document = language_v1beta2.Document() + document.content = "content_value" + + request = language_v1beta2.AnnotateTextRequest( + document=document, + ) + + # Make the request + response = client.annotate_text(request=request) + + # Handle the response + print(response) + Args: request (Union[google.cloud.language_v1beta2.types.AnnotateTextRequest, dict]): The request object. The request message for the text diff --git a/samples/generated_samples/language_generated_language_v1_language_service_analyze_entities_async.py b/samples/generated_samples/language_generated_language_v1_language_service_analyze_entities_async.py new file mode 100644 index 00000000..76d680ba --- /dev/null +++ b/samples/generated_samples/language_generated_language_v1_language_service_analyze_entities_async.py @@ -0,0 +1,48 @@ +# -*- coding: utf-8 -*- +# Copyright 2020 Google LLC +# +# 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. +# +# Generated code. DO NOT EDIT! +# +# Snippet for AnalyzeEntities +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-language + + +# [START language_generated_language_v1_LanguageService_AnalyzeEntities_async] +from google.cloud import language_v1 + + +async def sample_analyze_entities(): + # Create a client + client = language_v1.LanguageServiceAsyncClient() + + # Initialize request argument(s) + document = language_v1.Document() + document.content = "content_value" + + request = language_v1.AnalyzeEntitiesRequest( + document=document, + ) + + # Make the request + response = await client.analyze_entities(request=request) + + # Handle the response + print(response) + +# [END language_generated_language_v1_LanguageService_AnalyzeEntities_async] diff --git a/samples/generated_samples/language_generated_language_v1_language_service_analyze_entities_sync.py b/samples/generated_samples/language_generated_language_v1_language_service_analyze_entities_sync.py new file mode 100644 index 00000000..13362deb --- /dev/null +++ b/samples/generated_samples/language_generated_language_v1_language_service_analyze_entities_sync.py @@ -0,0 +1,48 @@ +# -*- coding: utf-8 -*- +# Copyright 2020 Google LLC +# +# 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. +# +# Generated code. DO NOT EDIT! +# +# Snippet for AnalyzeEntities +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-language + + +# [START language_generated_language_v1_LanguageService_AnalyzeEntities_sync] +from google.cloud import language_v1 + + +def sample_analyze_entities(): + # Create a client + client = language_v1.LanguageServiceClient() + + # Initialize request argument(s) + document = language_v1.Document() + document.content = "content_value" + + request = language_v1.AnalyzeEntitiesRequest( + document=document, + ) + + # Make the request + response = client.analyze_entities(request=request) + + # Handle the response + print(response) + +# [END language_generated_language_v1_LanguageService_AnalyzeEntities_sync] diff --git a/samples/generated_samples/language_generated_language_v1_language_service_analyze_entity_sentiment_async.py b/samples/generated_samples/language_generated_language_v1_language_service_analyze_entity_sentiment_async.py new file mode 100644 index 00000000..0b15bbbb --- /dev/null +++ b/samples/generated_samples/language_generated_language_v1_language_service_analyze_entity_sentiment_async.py @@ -0,0 +1,48 @@ +# -*- coding: utf-8 -*- +# Copyright 2020 Google LLC +# +# 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. +# +# Generated code. DO NOT EDIT! +# +# Snippet for AnalyzeEntitySentiment +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-language + + +# [START language_generated_language_v1_LanguageService_AnalyzeEntitySentiment_async] +from google.cloud import language_v1 + + +async def sample_analyze_entity_sentiment(): + # Create a client + client = language_v1.LanguageServiceAsyncClient() + + # Initialize request argument(s) + document = language_v1.Document() + document.content = "content_value" + + request = language_v1.AnalyzeEntitySentimentRequest( + document=document, + ) + + # Make the request + response = await client.analyze_entity_sentiment(request=request) + + # Handle the response + print(response) + +# [END language_generated_language_v1_LanguageService_AnalyzeEntitySentiment_async] diff --git a/samples/generated_samples/language_generated_language_v1_language_service_analyze_entity_sentiment_sync.py b/samples/generated_samples/language_generated_language_v1_language_service_analyze_entity_sentiment_sync.py new file mode 100644 index 00000000..d6ba37a4 --- /dev/null +++ b/samples/generated_samples/language_generated_language_v1_language_service_analyze_entity_sentiment_sync.py @@ -0,0 +1,48 @@ +# -*- coding: utf-8 -*- +# Copyright 2020 Google LLC +# +# 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. +# +# Generated code. DO NOT EDIT! +# +# Snippet for AnalyzeEntitySentiment +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-language + + +# [START language_generated_language_v1_LanguageService_AnalyzeEntitySentiment_sync] +from google.cloud import language_v1 + + +def sample_analyze_entity_sentiment(): + # Create a client + client = language_v1.LanguageServiceClient() + + # Initialize request argument(s) + document = language_v1.Document() + document.content = "content_value" + + request = language_v1.AnalyzeEntitySentimentRequest( + document=document, + ) + + # Make the request + response = client.analyze_entity_sentiment(request=request) + + # Handle the response + print(response) + +# [END language_generated_language_v1_LanguageService_AnalyzeEntitySentiment_sync] diff --git a/samples/generated_samples/language_generated_language_v1_language_service_analyze_sentiment_async.py b/samples/generated_samples/language_generated_language_v1_language_service_analyze_sentiment_async.py new file mode 100644 index 00000000..93b29343 --- /dev/null +++ b/samples/generated_samples/language_generated_language_v1_language_service_analyze_sentiment_async.py @@ -0,0 +1,48 @@ +# -*- coding: utf-8 -*- +# Copyright 2020 Google LLC +# +# 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. +# +# Generated code. DO NOT EDIT! +# +# Snippet for AnalyzeSentiment +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-language + + +# [START language_generated_language_v1_LanguageService_AnalyzeSentiment_async] +from google.cloud import language_v1 + + +async def sample_analyze_sentiment(): + # Create a client + client = language_v1.LanguageServiceAsyncClient() + + # Initialize request argument(s) + document = language_v1.Document() + document.content = "content_value" + + request = language_v1.AnalyzeSentimentRequest( + document=document, + ) + + # Make the request + response = await client.analyze_sentiment(request=request) + + # Handle the response + print(response) + +# [END language_generated_language_v1_LanguageService_AnalyzeSentiment_async] diff --git a/samples/generated_samples/language_generated_language_v1_language_service_analyze_sentiment_sync.py b/samples/generated_samples/language_generated_language_v1_language_service_analyze_sentiment_sync.py new file mode 100644 index 00000000..aee0a746 --- /dev/null +++ b/samples/generated_samples/language_generated_language_v1_language_service_analyze_sentiment_sync.py @@ -0,0 +1,48 @@ +# -*- coding: utf-8 -*- +# Copyright 2020 Google LLC +# +# 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. +# +# Generated code. DO NOT EDIT! +# +# Snippet for AnalyzeSentiment +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-language + + +# [START language_generated_language_v1_LanguageService_AnalyzeSentiment_sync] +from google.cloud import language_v1 + + +def sample_analyze_sentiment(): + # Create a client + client = language_v1.LanguageServiceClient() + + # Initialize request argument(s) + document = language_v1.Document() + document.content = "content_value" + + request = language_v1.AnalyzeSentimentRequest( + document=document, + ) + + # Make the request + response = client.analyze_sentiment(request=request) + + # Handle the response + print(response) + +# [END language_generated_language_v1_LanguageService_AnalyzeSentiment_sync] diff --git a/samples/generated_samples/language_generated_language_v1_language_service_analyze_syntax_async.py b/samples/generated_samples/language_generated_language_v1_language_service_analyze_syntax_async.py new file mode 100644 index 00000000..77c8c239 --- /dev/null +++ b/samples/generated_samples/language_generated_language_v1_language_service_analyze_syntax_async.py @@ -0,0 +1,48 @@ +# -*- coding: utf-8 -*- +# Copyright 2020 Google LLC +# +# 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. +# +# Generated code. DO NOT EDIT! +# +# Snippet for AnalyzeSyntax +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-language + + +# [START language_generated_language_v1_LanguageService_AnalyzeSyntax_async] +from google.cloud import language_v1 + + +async def sample_analyze_syntax(): + # Create a client + client = language_v1.LanguageServiceAsyncClient() + + # Initialize request argument(s) + document = language_v1.Document() + document.content = "content_value" + + request = language_v1.AnalyzeSyntaxRequest( + document=document, + ) + + # Make the request + response = await client.analyze_syntax(request=request) + + # Handle the response + print(response) + +# [END language_generated_language_v1_LanguageService_AnalyzeSyntax_async] diff --git a/samples/generated_samples/language_generated_language_v1_language_service_analyze_syntax_sync.py b/samples/generated_samples/language_generated_language_v1_language_service_analyze_syntax_sync.py new file mode 100644 index 00000000..aa7ec47f --- /dev/null +++ b/samples/generated_samples/language_generated_language_v1_language_service_analyze_syntax_sync.py @@ -0,0 +1,48 @@ +# -*- coding: utf-8 -*- +# Copyright 2020 Google LLC +# +# 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. +# +# Generated code. DO NOT EDIT! +# +# Snippet for AnalyzeSyntax +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-language + + +# [START language_generated_language_v1_LanguageService_AnalyzeSyntax_sync] +from google.cloud import language_v1 + + +def sample_analyze_syntax(): + # Create a client + client = language_v1.LanguageServiceClient() + + # Initialize request argument(s) + document = language_v1.Document() + document.content = "content_value" + + request = language_v1.AnalyzeSyntaxRequest( + document=document, + ) + + # Make the request + response = client.analyze_syntax(request=request) + + # Handle the response + print(response) + +# [END language_generated_language_v1_LanguageService_AnalyzeSyntax_sync] diff --git a/samples/generated_samples/language_generated_language_v1_language_service_annotate_text_async.py b/samples/generated_samples/language_generated_language_v1_language_service_annotate_text_async.py new file mode 100644 index 00000000..5ae9ff97 --- /dev/null +++ b/samples/generated_samples/language_generated_language_v1_language_service_annotate_text_async.py @@ -0,0 +1,48 @@ +# -*- coding: utf-8 -*- +# Copyright 2020 Google LLC +# +# 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. +# +# Generated code. DO NOT EDIT! +# +# Snippet for AnnotateText +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-language + + +# [START language_generated_language_v1_LanguageService_AnnotateText_async] +from google.cloud import language_v1 + + +async def sample_annotate_text(): + # Create a client + client = language_v1.LanguageServiceAsyncClient() + + # Initialize request argument(s) + document = language_v1.Document() + document.content = "content_value" + + request = language_v1.AnnotateTextRequest( + document=document, + ) + + # Make the request + response = await client.annotate_text(request=request) + + # Handle the response + print(response) + +# [END language_generated_language_v1_LanguageService_AnnotateText_async] diff --git a/samples/generated_samples/language_generated_language_v1_language_service_annotate_text_sync.py b/samples/generated_samples/language_generated_language_v1_language_service_annotate_text_sync.py new file mode 100644 index 00000000..59e182e2 --- /dev/null +++ b/samples/generated_samples/language_generated_language_v1_language_service_annotate_text_sync.py @@ -0,0 +1,48 @@ +# -*- coding: utf-8 -*- +# Copyright 2020 Google LLC +# +# 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. +# +# Generated code. DO NOT EDIT! +# +# Snippet for AnnotateText +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-language + + +# [START language_generated_language_v1_LanguageService_AnnotateText_sync] +from google.cloud import language_v1 + + +def sample_annotate_text(): + # Create a client + client = language_v1.LanguageServiceClient() + + # Initialize request argument(s) + document = language_v1.Document() + document.content = "content_value" + + request = language_v1.AnnotateTextRequest( + document=document, + ) + + # Make the request + response = client.annotate_text(request=request) + + # Handle the response + print(response) + +# [END language_generated_language_v1_LanguageService_AnnotateText_sync] diff --git a/samples/generated_samples/language_generated_language_v1_language_service_classify_text_async.py b/samples/generated_samples/language_generated_language_v1_language_service_classify_text_async.py new file mode 100644 index 00000000..47c93312 --- /dev/null +++ b/samples/generated_samples/language_generated_language_v1_language_service_classify_text_async.py @@ -0,0 +1,48 @@ +# -*- coding: utf-8 -*- +# Copyright 2020 Google LLC +# +# 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. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ClassifyText +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-language + + +# [START language_generated_language_v1_LanguageService_ClassifyText_async] +from google.cloud import language_v1 + + +async def sample_classify_text(): + # Create a client + client = language_v1.LanguageServiceAsyncClient() + + # Initialize request argument(s) + document = language_v1.Document() + document.content = "content_value" + + request = language_v1.ClassifyTextRequest( + document=document, + ) + + # Make the request + response = await client.classify_text(request=request) + + # Handle the response + print(response) + +# [END language_generated_language_v1_LanguageService_ClassifyText_async] diff --git a/samples/generated_samples/language_generated_language_v1_language_service_classify_text_sync.py b/samples/generated_samples/language_generated_language_v1_language_service_classify_text_sync.py new file mode 100644 index 00000000..1c4c1796 --- /dev/null +++ b/samples/generated_samples/language_generated_language_v1_language_service_classify_text_sync.py @@ -0,0 +1,48 @@ +# -*- coding: utf-8 -*- +# Copyright 2020 Google LLC +# +# 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. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ClassifyText +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-language + + +# [START language_generated_language_v1_LanguageService_ClassifyText_sync] +from google.cloud import language_v1 + + +def sample_classify_text(): + # Create a client + client = language_v1.LanguageServiceClient() + + # Initialize request argument(s) + document = language_v1.Document() + document.content = "content_value" + + request = language_v1.ClassifyTextRequest( + document=document, + ) + + # Make the request + response = client.classify_text(request=request) + + # Handle the response + print(response) + +# [END language_generated_language_v1_LanguageService_ClassifyText_sync] diff --git a/samples/generated_samples/language_generated_language_v1beta2_language_service_analyze_entities_async.py b/samples/generated_samples/language_generated_language_v1beta2_language_service_analyze_entities_async.py new file mode 100644 index 00000000..42f6a383 --- /dev/null +++ b/samples/generated_samples/language_generated_language_v1beta2_language_service_analyze_entities_async.py @@ -0,0 +1,48 @@ +# -*- coding: utf-8 -*- +# Copyright 2020 Google LLC +# +# 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. +# +# Generated code. DO NOT EDIT! +# +# Snippet for AnalyzeEntities +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-language + + +# [START language_generated_language_v1beta2_LanguageService_AnalyzeEntities_async] +from google.cloud import language_v1beta2 + + +async def sample_analyze_entities(): + # Create a client + client = language_v1beta2.LanguageServiceAsyncClient() + + # Initialize request argument(s) + document = language_v1beta2.Document() + document.content = "content_value" + + request = language_v1beta2.AnalyzeEntitiesRequest( + document=document, + ) + + # Make the request + response = await client.analyze_entities(request=request) + + # Handle the response + print(response) + +# [END language_generated_language_v1beta2_LanguageService_AnalyzeEntities_async] diff --git a/samples/generated_samples/language_generated_language_v1beta2_language_service_analyze_entities_sync.py b/samples/generated_samples/language_generated_language_v1beta2_language_service_analyze_entities_sync.py new file mode 100644 index 00000000..cacaee20 --- /dev/null +++ b/samples/generated_samples/language_generated_language_v1beta2_language_service_analyze_entities_sync.py @@ -0,0 +1,48 @@ +# -*- coding: utf-8 -*- +# Copyright 2020 Google LLC +# +# 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. +# +# Generated code. DO NOT EDIT! +# +# Snippet for AnalyzeEntities +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-language + + +# [START language_generated_language_v1beta2_LanguageService_AnalyzeEntities_sync] +from google.cloud import language_v1beta2 + + +def sample_analyze_entities(): + # Create a client + client = language_v1beta2.LanguageServiceClient() + + # Initialize request argument(s) + document = language_v1beta2.Document() + document.content = "content_value" + + request = language_v1beta2.AnalyzeEntitiesRequest( + document=document, + ) + + # Make the request + response = client.analyze_entities(request=request) + + # Handle the response + print(response) + +# [END language_generated_language_v1beta2_LanguageService_AnalyzeEntities_sync] diff --git a/samples/generated_samples/language_generated_language_v1beta2_language_service_analyze_entity_sentiment_async.py b/samples/generated_samples/language_generated_language_v1beta2_language_service_analyze_entity_sentiment_async.py new file mode 100644 index 00000000..d1af0e16 --- /dev/null +++ b/samples/generated_samples/language_generated_language_v1beta2_language_service_analyze_entity_sentiment_async.py @@ -0,0 +1,48 @@ +# -*- coding: utf-8 -*- +# Copyright 2020 Google LLC +# +# 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. +# +# Generated code. DO NOT EDIT! +# +# Snippet for AnalyzeEntitySentiment +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-language + + +# [START language_generated_language_v1beta2_LanguageService_AnalyzeEntitySentiment_async] +from google.cloud import language_v1beta2 + + +async def sample_analyze_entity_sentiment(): + # Create a client + client = language_v1beta2.LanguageServiceAsyncClient() + + # Initialize request argument(s) + document = language_v1beta2.Document() + document.content = "content_value" + + request = language_v1beta2.AnalyzeEntitySentimentRequest( + document=document, + ) + + # Make the request + response = await client.analyze_entity_sentiment(request=request) + + # Handle the response + print(response) + +# [END language_generated_language_v1beta2_LanguageService_AnalyzeEntitySentiment_async] diff --git a/samples/generated_samples/language_generated_language_v1beta2_language_service_analyze_entity_sentiment_sync.py b/samples/generated_samples/language_generated_language_v1beta2_language_service_analyze_entity_sentiment_sync.py new file mode 100644 index 00000000..172d9e85 --- /dev/null +++ b/samples/generated_samples/language_generated_language_v1beta2_language_service_analyze_entity_sentiment_sync.py @@ -0,0 +1,48 @@ +# -*- coding: utf-8 -*- +# Copyright 2020 Google LLC +# +# 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. +# +# Generated code. DO NOT EDIT! +# +# Snippet for AnalyzeEntitySentiment +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-language + + +# [START language_generated_language_v1beta2_LanguageService_AnalyzeEntitySentiment_sync] +from google.cloud import language_v1beta2 + + +def sample_analyze_entity_sentiment(): + # Create a client + client = language_v1beta2.LanguageServiceClient() + + # Initialize request argument(s) + document = language_v1beta2.Document() + document.content = "content_value" + + request = language_v1beta2.AnalyzeEntitySentimentRequest( + document=document, + ) + + # Make the request + response = client.analyze_entity_sentiment(request=request) + + # Handle the response + print(response) + +# [END language_generated_language_v1beta2_LanguageService_AnalyzeEntitySentiment_sync] diff --git a/samples/generated_samples/language_generated_language_v1beta2_language_service_analyze_sentiment_async.py b/samples/generated_samples/language_generated_language_v1beta2_language_service_analyze_sentiment_async.py new file mode 100644 index 00000000..f02f3641 --- /dev/null +++ b/samples/generated_samples/language_generated_language_v1beta2_language_service_analyze_sentiment_async.py @@ -0,0 +1,48 @@ +# -*- coding: utf-8 -*- +# Copyright 2020 Google LLC +# +# 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. +# +# Generated code. DO NOT EDIT! +# +# Snippet for AnalyzeSentiment +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-language + + +# [START language_generated_language_v1beta2_LanguageService_AnalyzeSentiment_async] +from google.cloud import language_v1beta2 + + +async def sample_analyze_sentiment(): + # Create a client + client = language_v1beta2.LanguageServiceAsyncClient() + + # Initialize request argument(s) + document = language_v1beta2.Document() + document.content = "content_value" + + request = language_v1beta2.AnalyzeSentimentRequest( + document=document, + ) + + # Make the request + response = await client.analyze_sentiment(request=request) + + # Handle the response + print(response) + +# [END language_generated_language_v1beta2_LanguageService_AnalyzeSentiment_async] diff --git a/samples/generated_samples/language_generated_language_v1beta2_language_service_analyze_sentiment_sync.py b/samples/generated_samples/language_generated_language_v1beta2_language_service_analyze_sentiment_sync.py new file mode 100644 index 00000000..b600c188 --- /dev/null +++ b/samples/generated_samples/language_generated_language_v1beta2_language_service_analyze_sentiment_sync.py @@ -0,0 +1,48 @@ +# -*- coding: utf-8 -*- +# Copyright 2020 Google LLC +# +# 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. +# +# Generated code. DO NOT EDIT! +# +# Snippet for AnalyzeSentiment +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-language + + +# [START language_generated_language_v1beta2_LanguageService_AnalyzeSentiment_sync] +from google.cloud import language_v1beta2 + + +def sample_analyze_sentiment(): + # Create a client + client = language_v1beta2.LanguageServiceClient() + + # Initialize request argument(s) + document = language_v1beta2.Document() + document.content = "content_value" + + request = language_v1beta2.AnalyzeSentimentRequest( + document=document, + ) + + # Make the request + response = client.analyze_sentiment(request=request) + + # Handle the response + print(response) + +# [END language_generated_language_v1beta2_LanguageService_AnalyzeSentiment_sync] diff --git a/samples/generated_samples/language_generated_language_v1beta2_language_service_analyze_syntax_async.py b/samples/generated_samples/language_generated_language_v1beta2_language_service_analyze_syntax_async.py new file mode 100644 index 00000000..33d9637d --- /dev/null +++ b/samples/generated_samples/language_generated_language_v1beta2_language_service_analyze_syntax_async.py @@ -0,0 +1,48 @@ +# -*- coding: utf-8 -*- +# Copyright 2020 Google LLC +# +# 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. +# +# Generated code. DO NOT EDIT! +# +# Snippet for AnalyzeSyntax +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-language + + +# [START language_generated_language_v1beta2_LanguageService_AnalyzeSyntax_async] +from google.cloud import language_v1beta2 + + +async def sample_analyze_syntax(): + # Create a client + client = language_v1beta2.LanguageServiceAsyncClient() + + # Initialize request argument(s) + document = language_v1beta2.Document() + document.content = "content_value" + + request = language_v1beta2.AnalyzeSyntaxRequest( + document=document, + ) + + # Make the request + response = await client.analyze_syntax(request=request) + + # Handle the response + print(response) + +# [END language_generated_language_v1beta2_LanguageService_AnalyzeSyntax_async] diff --git a/samples/generated_samples/language_generated_language_v1beta2_language_service_analyze_syntax_sync.py b/samples/generated_samples/language_generated_language_v1beta2_language_service_analyze_syntax_sync.py new file mode 100644 index 00000000..2d9fc145 --- /dev/null +++ b/samples/generated_samples/language_generated_language_v1beta2_language_service_analyze_syntax_sync.py @@ -0,0 +1,48 @@ +# -*- coding: utf-8 -*- +# Copyright 2020 Google LLC +# +# 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. +# +# Generated code. DO NOT EDIT! +# +# Snippet for AnalyzeSyntax +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-language + + +# [START language_generated_language_v1beta2_LanguageService_AnalyzeSyntax_sync] +from google.cloud import language_v1beta2 + + +def sample_analyze_syntax(): + # Create a client + client = language_v1beta2.LanguageServiceClient() + + # Initialize request argument(s) + document = language_v1beta2.Document() + document.content = "content_value" + + request = language_v1beta2.AnalyzeSyntaxRequest( + document=document, + ) + + # Make the request + response = client.analyze_syntax(request=request) + + # Handle the response + print(response) + +# [END language_generated_language_v1beta2_LanguageService_AnalyzeSyntax_sync] diff --git a/samples/generated_samples/language_generated_language_v1beta2_language_service_annotate_text_async.py b/samples/generated_samples/language_generated_language_v1beta2_language_service_annotate_text_async.py new file mode 100644 index 00000000..f352aa75 --- /dev/null +++ b/samples/generated_samples/language_generated_language_v1beta2_language_service_annotate_text_async.py @@ -0,0 +1,48 @@ +# -*- coding: utf-8 -*- +# Copyright 2020 Google LLC +# +# 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. +# +# Generated code. DO NOT EDIT! +# +# Snippet for AnnotateText +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-language + + +# [START language_generated_language_v1beta2_LanguageService_AnnotateText_async] +from google.cloud import language_v1beta2 + + +async def sample_annotate_text(): + # Create a client + client = language_v1beta2.LanguageServiceAsyncClient() + + # Initialize request argument(s) + document = language_v1beta2.Document() + document.content = "content_value" + + request = language_v1beta2.AnnotateTextRequest( + document=document, + ) + + # Make the request + response = await client.annotate_text(request=request) + + # Handle the response + print(response) + +# [END language_generated_language_v1beta2_LanguageService_AnnotateText_async] diff --git a/samples/generated_samples/language_generated_language_v1beta2_language_service_annotate_text_sync.py b/samples/generated_samples/language_generated_language_v1beta2_language_service_annotate_text_sync.py new file mode 100644 index 00000000..f1a0d007 --- /dev/null +++ b/samples/generated_samples/language_generated_language_v1beta2_language_service_annotate_text_sync.py @@ -0,0 +1,48 @@ +# -*- coding: utf-8 -*- +# Copyright 2020 Google LLC +# +# 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. +# +# Generated code. DO NOT EDIT! +# +# Snippet for AnnotateText +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-language + + +# [START language_generated_language_v1beta2_LanguageService_AnnotateText_sync] +from google.cloud import language_v1beta2 + + +def sample_annotate_text(): + # Create a client + client = language_v1beta2.LanguageServiceClient() + + # Initialize request argument(s) + document = language_v1beta2.Document() + document.content = "content_value" + + request = language_v1beta2.AnnotateTextRequest( + document=document, + ) + + # Make the request + response = client.annotate_text(request=request) + + # Handle the response + print(response) + +# [END language_generated_language_v1beta2_LanguageService_AnnotateText_sync] diff --git a/samples/generated_samples/language_generated_language_v1beta2_language_service_classify_text_async.py b/samples/generated_samples/language_generated_language_v1beta2_language_service_classify_text_async.py new file mode 100644 index 00000000..a9bfabfc --- /dev/null +++ b/samples/generated_samples/language_generated_language_v1beta2_language_service_classify_text_async.py @@ -0,0 +1,48 @@ +# -*- coding: utf-8 -*- +# Copyright 2020 Google LLC +# +# 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. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ClassifyText +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-language + + +# [START language_generated_language_v1beta2_LanguageService_ClassifyText_async] +from google.cloud import language_v1beta2 + + +async def sample_classify_text(): + # Create a client + client = language_v1beta2.LanguageServiceAsyncClient() + + # Initialize request argument(s) + document = language_v1beta2.Document() + document.content = "content_value" + + request = language_v1beta2.ClassifyTextRequest( + document=document, + ) + + # Make the request + response = await client.classify_text(request=request) + + # Handle the response + print(response) + +# [END language_generated_language_v1beta2_LanguageService_ClassifyText_async] diff --git a/samples/generated_samples/language_generated_language_v1beta2_language_service_classify_text_sync.py b/samples/generated_samples/language_generated_language_v1beta2_language_service_classify_text_sync.py new file mode 100644 index 00000000..abef8641 --- /dev/null +++ b/samples/generated_samples/language_generated_language_v1beta2_language_service_classify_text_sync.py @@ -0,0 +1,48 @@ +# -*- coding: utf-8 -*- +# Copyright 2020 Google LLC +# +# 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. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ClassifyText +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-language + + +# [START language_generated_language_v1beta2_LanguageService_ClassifyText_sync] +from google.cloud import language_v1beta2 + + +def sample_classify_text(): + # Create a client + client = language_v1beta2.LanguageServiceClient() + + # Initialize request argument(s) + document = language_v1beta2.Document() + document.content = "content_value" + + request = language_v1beta2.ClassifyTextRequest( + document=document, + ) + + # Make the request + response = client.classify_text(request=request) + + # Handle the response + print(response) + +# [END language_generated_language_v1beta2_LanguageService_ClassifyText_sync] diff --git 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