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feat: add StyleInfo to document.proto (#11407)
Co-authored-by: Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com> Co-authored-by: Anthonios Partheniou <partheniou@google.com>
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‎packages/google-cloud-documentai/docs/documentai_v1beta3/document_service.rst

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DocumentService
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---------------------------------
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.. automodule:: google.cloud.documentai_v1beta3.services.document_service
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:members:
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:inherited-members:

‎packages/google-cloud-documentai/docs/documentai_v1beta3/services.rst

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:maxdepth: 2
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document_processor_service
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document_service

‎packages/google-cloud-documentai/google/cloud/documentai/gapic_version.py

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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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__version__ = "2.15.0" # {x-release-please-version}
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__version__ = "0.1.0" # {x-release-please-version}

‎packages/google-cloud-documentai/google/cloud/documentai_v1/gapic_version.py

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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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__version__ = "2.15.0" # {x-release-please-version}
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__version__ = "0.1.0" # {x-release-please-version}

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

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

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‎packages/google-cloud-documentai/google/cloud/documentai_v1/services/document_processor_service/transports/base.py

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core_exceptions.DeadlineExceeded,
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core_exceptions.ServiceUnavailable,
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),
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deadline=120.0,
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deadline=300.0,
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),
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default_timeout=120.0,
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default_timeout=300.0,
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client_info=client_info,
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),
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self.batch_process_documents: gapic_v1.method.wrap_method(

‎packages/google-cloud-documentai/google/cloud/documentai_v1/services/document_processor_service/transports/grpc.py

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class DocumentProcessorServiceGrpcTransport(DocumentProcessorServiceTransport):
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"""gRPC backend transport for DocumentProcessorService.
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Service to call Cloud DocumentAI to process documents
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according to the processor's definition. Processors are built
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using state-of-the-art Google AI such as natural language,
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computer vision, and translation to extract structured
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information from unstructured or semi-structured documents.
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Service to call Document AI to process documents according to
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the processor's definition. Processors are built using
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state-of-the-art Google AI such as natural language, computer
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vision, and translation to extract structured information from
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unstructured or semi-structured documents.
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This class defines the same methods as the primary client, so the
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primary client can load the underlying transport implementation
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]:
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r"""Return a callable for the fetch processor types method over gRPC.
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Fetches processor types. Note that we do not use
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ListProcessorTypes here because it is not paginated.
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Fetches processor types. Note that we don't use
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[ListProcessorTypes][google.cloud.documentai.v1.DocumentProcessorService.ListProcessorTypes]
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here, because it isn't paginated.
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Returns:
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Callable[[~.FetchProcessorTypesRequest],
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r"""Return a callable for the train processor version method over gRPC.
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Trains a new processor version. Operation metadata is returned
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as cloud_documentai_core.TrainProcessorVersionMetadata.
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as
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[TrainProcessorVersionMetadata][google.cloud.documentai.v1.TrainProcessorVersionMetadata].
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Returns:
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Callable[[~.TrainProcessorVersionRequest],
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]:
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r"""Return a callable for the create processor method over gRPC.
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Creates a processor from the type processor that the
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user chose. The processor will be at "ENABLED" state by
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default after its creation.
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Creates a processor from the
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[ProcessorType][google.cloud.documentai.v1.ProcessorType]
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provided. The processor will be at ``ENABLED`` state by default
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after its creation.
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Returns:
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Callable[[~.CreateProcessorRequest],

‎packages/google-cloud-documentai/google/cloud/documentai_v1/services/document_processor_service/transports/grpc_asyncio.py

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class DocumentProcessorServiceGrpcAsyncIOTransport(DocumentProcessorServiceTransport):
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"""gRPC AsyncIO backend transport for DocumentProcessorService.
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Service to call Cloud DocumentAI to process documents
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according to the processor's definition. Processors are built
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using state-of-the-art Google AI such as natural language,
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computer vision, and translation to extract structured
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information from unstructured or semi-structured documents.
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Service to call Document AI to process documents according to
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the processor's definition. Processors are built using
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state-of-the-art Google AI such as natural language, computer
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vision, and translation to extract structured information from
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unstructured or semi-structured documents.
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This class defines the same methods as the primary client, so the
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primary client can load the underlying transport implementation
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]:
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r"""Return a callable for the fetch processor types method over gRPC.
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Fetches processor types. Note that we do not use
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ListProcessorTypes here because it is not paginated.
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Fetches processor types. Note that we don't use
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[ListProcessorTypes][google.cloud.documentai.v1.DocumentProcessorService.ListProcessorTypes]
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here, because it isn't paginated.
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Returns:
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Callable[[~.FetchProcessorTypesRequest],
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r"""Return a callable for the train processor version method over gRPC.
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Trains a new processor version. Operation metadata is returned
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as cloud_documentai_core.TrainProcessorVersionMetadata.
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as
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[TrainProcessorVersionMetadata][google.cloud.documentai.v1.TrainProcessorVersionMetadata].
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Returns:
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Callable[[~.TrainProcessorVersionRequest],
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]:
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r"""Return a callable for the create processor method over gRPC.
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Creates a processor from the type processor that the
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user chose. The processor will be at "ENABLED" state by
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default after its creation.
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Creates a processor from the
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[ProcessorType][google.cloud.documentai.v1.ProcessorType]
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provided. The processor will be at ``ENABLED`` state by default
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after its creation.
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Returns:
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Callable[[~.CreateProcessorRequest],

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