chore: use gapic-generator-python 0.63.2 (#275)

* chore: use gapic-generator-python 0.63.2

PiperOrigin-RevId: 427792504

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Source-Link: googleapis/googleapis-gen@bf4e86b
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packages/google-cloud-documentai/google/cloud/documentai_v1/services/document_processor_service/async_client.py

@@ -253,7 +253,7 @@ def sample_process_document():
                 # Make the request
                 response = client.process_document(request=request)
 
-                # Handle response
+                # Handle the response
                 print(response)
 
         Args:
@@ -358,6 +358,8 @@ def sample_batch_process_documents():
                 print("Waiting for operation to complete...")
 
                 response = operation.result()
+
+                # Handle the response
                 print(response)
 
         Args:
@@ -477,6 +479,8 @@ def sample_review_document():
                 print("Waiting for operation to complete...")
 
                 response = operation.result()
+
+                # Handle the response
                 print(response)
 
         Args:

packages/google-cloud-documentai/google/cloud/documentai_v1/services/document_processor_service/client.py

@@ -456,7 +456,7 @@ def sample_process_document():
                 # Make the request
                 response = client.process_document(request=request)
 
-                # Handle response
+                # Handle the response
                 print(response)
 
         Args:
@@ -552,6 +552,8 @@ def sample_batch_process_documents():
                 print("Waiting for operation to complete...")
 
                 response = operation.result()
+
+                # Handle the response
                 print(response)
 
         Args:
@@ -662,6 +664,8 @@ def sample_review_document():
                 print("Waiting for operation to complete...")
 
                 response = operation.result()
+
+                # Handle the response
                 print(response)
 
         Args:

packages/google-cloud-documentai/google/cloud/documentai_v1beta2/services/document_understanding_service/async_client.py

@@ -227,6 +227,34 @@ async def batch_process_documents(
         r"""LRO endpoint to batch process many documents. The output is
         written to Cloud Storage as JSON in the [Document] format.
 
+
+        .. code-block::
+
+            from google.cloud import documentai_v1beta2
+
+            def sample_batch_process_documents():
+                # Create a client
+                client = documentai_v1beta2.DocumentUnderstandingServiceClient()
+
+                # Initialize request argument(s)
+                requests = documentai_v1beta2.ProcessDocumentRequest()
+                requests.input_config.gcs_source.uri = "uri_value"
+                requests.input_config.mime_type = "mime_type_value"
+
+                request = documentai_v1beta2.BatchProcessDocumentsRequest(
+                    requests=requests,
+                )
+
+                # Make the request
+                operation = client.batch_process_documents(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
         Args:
             request (Union[google.cloud.documentai_v1beta2.types.BatchProcessDocumentsRequest, dict]):
                 The request object. Request to batch process documents
@@ -318,6 +346,29 @@ async def process_document(
     ) -> document.Document:
         r"""Processes a single document.
 
+        .. code-block::
+
+            from google.cloud import documentai_v1beta2
+
+            def sample_process_document():
+                # Create a client
+                client = documentai_v1beta2.DocumentUnderstandingServiceClient()
+
+                # Initialize request argument(s)
+                input_config = documentai_v1beta2.InputConfig()
+                input_config.gcs_source.uri = "uri_value"
+                input_config.mime_type = "mime_type_value"
+
+                request = documentai_v1beta2.ProcessDocumentRequest(
+                    input_config=input_config,
+                )
+
+                # Make the request
+                response = client.process_document(request=request)
+
+                # Handle the response
+                print(response)
+
         Args:
             request (Union[google.cloud.documentai_v1beta2.types.ProcessDocumentRequest, dict]):
                 The request object. Request to process one document.

packages/google-cloud-documentai/google/cloud/documentai_v1beta2/services/document_understanding_service/client.py

@@ -409,6 +409,35 @@ def batch_process_documents(
         r"""LRO endpoint to batch process many documents. The output is
         written to Cloud Storage as JSON in the [Document] format.
 
+
+
+        .. code-block::
+
+            from google.cloud import documentai_v1beta2
+
+            def sample_batch_process_documents():
+                # Create a client
+                client = documentai_v1beta2.DocumentUnderstandingServiceClient()
+
+                # Initialize request argument(s)
+                requests = documentai_v1beta2.ProcessDocumentRequest()
+                requests.input_config.gcs_source.uri = "uri_value"
+                requests.input_config.mime_type = "mime_type_value"
+
+                request = documentai_v1beta2.BatchProcessDocumentsRequest(
+                    requests=requests,
+                )
+
+                # Make the request
+                operation = client.batch_process_documents(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
         Args:
             request (Union[google.cloud.documentai_v1beta2.types.BatchProcessDocumentsRequest, dict]):
                 The request object. Request to batch process documents
@@ -490,6 +519,30 @@ def process_document(
     ) -> document.Document:
         r"""Processes a single document.
 
+
+        .. code-block::
+
+            from google.cloud import documentai_v1beta2
+
+            def sample_process_document():
+                # Create a client
+                client = documentai_v1beta2.DocumentUnderstandingServiceClient()
+
+                # Initialize request argument(s)
+                input_config = documentai_v1beta2.InputConfig()
+                input_config.gcs_source.uri = "uri_value"
+                input_config.mime_type = "mime_type_value"
+
+                request = documentai_v1beta2.ProcessDocumentRequest(
+                    input_config=input_config,
+                )
+
+                # Make the request
+                response = client.process_document(request=request)
+
+                # Handle the response
+                print(response)
+
         Args:
             request (Union[google.cloud.documentai_v1beta2.types.ProcessDocumentRequest, dict]):
                 The request object. Request to process one document.

packages/google-cloud-documentai/google/cloud/documentai_v1beta3/services/document_processor_service/async_client.py

@@ -265,7 +265,7 @@ def sample_process_document():
                 # Make the request
                 response = client.process_document(request=request)
 
-                # Handle response
+                # Handle the response
                 print(response)
 
         Args:
@@ -370,6 +370,8 @@ def sample_batch_process_documents():
                 print("Waiting for operation to complete...")
 
                 response = operation.result()
+
+                # Handle the response
                 print(response)
 
         Args:
@@ -482,7 +484,7 @@ def sample_fetch_processor_types():
                 # Make the request
                 response = client.fetch_processor_types(request=request)
 
-                # Handle response
+                # Handle the response
                 print(response)
 
         Args:
@@ -572,6 +574,8 @@ def sample_list_processors():
 
                 # Make the request
                 page_result = client.list_processors(request=request)
+
+                # Handle the response
                 for response in page_result:
                     print(response)
 
@@ -676,7 +680,7 @@ def sample_create_processor():
                 # Make the request
                 response = client.create_processor(request=request)
 
-                # Handle response
+                # Handle the response
                 print(response)
 
         Args:
@@ -788,6 +792,8 @@ def sample_delete_processor():
                 print("Waiting for operation to complete...")
 
                 response = operation.result()
+
+                # Handle the response
                 print(response)
 
         Args:
@@ -900,6 +906,8 @@ def sample_enable_processor():
                 print("Waiting for operation to complete...")
 
                 response = operation.result()
+
+                # Handle the response
                 print(response)
 
         Args:
@@ -981,6 +989,8 @@ def sample_disable_processor():
                 print("Waiting for operation to complete...")
 
                 response = operation.result()
+
+                # Handle the response
                 print(response)
 
         Args:
@@ -1069,6 +1079,8 @@ def sample_review_document():
                 print("Waiting for operation to complete...")
 
                 response = operation.result()
+
+                # Handle the response
                 print(response)
 
         Args:

packages/google-cloud-documentai/google/cloud/documentai_v1beta3/services/document_processor_service/client.py

@@ -478,7 +478,7 @@ def sample_process_document():
                 # Make the request
                 response = client.process_document(request=request)
 
-                # Handle response
+                # Handle the response
                 print(response)
 
         Args:
@@ -574,6 +574,8 @@ def sample_batch_process_documents():
                 print("Waiting for operation to complete...")
 
                 response = operation.result()
+
+                # Handle the response
                 print(response)
 
         Args:
@@ -677,7 +679,7 @@ def sample_fetch_processor_types():
                 # Make the request
                 response = client.fetch_processor_types(request=request)
 
-                # Handle response
+                # Handle the response
                 print(response)
 
         Args:
@@ -770,6 +772,8 @@ def sample_list_processors():
 
                 # Make the request
                 page_result = client.list_processors(request=request)
+
+                # Handle the response
                 for response in page_result:
                     print(response)
 
@@ -875,7 +879,7 @@ def sample_create_processor():
                 # Make the request
                 response = client.create_processor(request=request)
 
-                # Handle response
+                # Handle the response
                 print(response)
 
         Args:
@@ -988,6 +992,8 @@ def sample_delete_processor():
                 print("Waiting for operation to complete...")
 
                 response = operation.result()
+
+                # Handle the response
                 print(response)
 
         Args:
@@ -1101,6 +1107,8 @@ def sample_enable_processor():
                 print("Waiting for operation to complete...")
 
                 response = operation.result()
+
+                # Handle the response
                 print(response)
 
         Args:
@@ -1184,6 +1192,8 @@ def sample_disable_processor():
                 print("Waiting for operation to complete...")
 
                 response = operation.result()
+
+                # Handle the response
                 print(response)
 
         Args:
@@ -1274,6 +1284,8 @@ def sample_review_document():
                 print("Waiting for operation to complete...")
 
                 response = operation.result()
+
+                # Handle the response
                 print(response)
 
         Args:

packages/google-cloud-documentai/samples/generated_samples/documentai_generated_documentai_v1_document_processor_service_batch_process_documents_async.py

@@ -42,6 +42,8 @@ async def sample_batch_process_documents():
     print("Waiting for operation to complete...")
 
     response = await operation.result()
+
+    # Handle the response
     print(response)
 
 # [END documentai_generated_documentai_v1_DocumentProcessorService_BatchProcessDocuments_async]

packages/google-cloud-documentai/samples/generated_samples/documentai_generated_documentai_v1_document_processor_service_batch_process_documents_sync.py

@@ -42,6 +42,8 @@ def sample_batch_process_documents():
     print("Waiting for operation to complete...")
 
     response = operation.result()
+
+    # Handle the response
     print(response)
 
 # [END documentai_generated_documentai_v1_DocumentProcessorService_BatchProcessDocuments_sync]

packages/google-cloud-documentai/samples/generated_samples/documentai_generated_documentai_v1_document_processor_service_process_document_async.py

@@ -43,7 +43,7 @@ async def sample_process_document():
     # Make the request
     response = await client.process_document(request=request)
 
-    # Handle response
+    # Handle the response
     print(response)
 
 # [END documentai_generated_documentai_v1_DocumentProcessorService_ProcessDocument_async]

packages/google-cloud-documentai/samples/generated_samples/documentai_generated_documentai_v1_document_processor_service_process_document_sync.py

@@ -43,7 +43,7 @@ def sample_process_document():
     # Make the request
     response = client.process_document(request=request)
 
-    # Handle response
+    # Handle the response
     print(response)
 
 # [END documentai_generated_documentai_v1_DocumentProcessorService_ProcessDocument_sync]

packages/google-cloud-documentai/samples/generated_samples/documentai_generated_documentai_v1_document_processor_service_review_document_async.py

@@ -46,6 +46,8 @@ async def sample_review_document():
     print("Waiting for operation to complete...")
 
     response = await operation.result()
+
+    # Handle the response
     print(response)
 
 # [END documentai_generated_documentai_v1_DocumentProcessorService_ReviewDocument_async]