diff --git a/google-api-grpc/grpc-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceGrpc.java b/google-api-grpc/grpc-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceGrpc.java index 40dbf4f7fc2b..671266d61f3a 100644 --- a/google-api-grpc/grpc-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceGrpc.java +++ b/google-api-grpc/grpc-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceGrpc.java @@ -198,12 +198,14 @@ public void predict( * * *
- * Perform a batch prediction. Unlike the online [Predict][google.cloud.automl.v1beta1.PredictionService.Predict], batch
+ * Perform a batch prediction. Unlike the online
+ * [Predict][google.cloud.automl.v1beta1.PredictionService.Predict], batch
* prediction result won't be immediately available in the response. Instead,
* a long running operation object is returned. User can poll the operation
* result via [GetOperation][google.longrunning.Operations.GetOperation]
- * method. Once the operation is done, [BatchPredictResult][google.cloud.automl.v1beta1.BatchPredictResult] is returned in
- * the [response][google.longrunning.Operation.response] field.
+ * method. Once the operation is done,
+ * [BatchPredictResult][google.cloud.automl.v1beta1.BatchPredictResult] is
+ * returned in the [response][google.longrunning.Operation.response] field.
* Available for following ML problems:
* * Image Classification
* * Image Object Detection
@@ -300,12 +302,14 @@ public void predict(
*
*
*
- * Perform a batch prediction. Unlike the online [Predict][google.cloud.automl.v1beta1.PredictionService.Predict], batch
+ * Perform a batch prediction. Unlike the online
+ * [Predict][google.cloud.automl.v1beta1.PredictionService.Predict], batch
* prediction result won't be immediately available in the response. Instead,
* a long running operation object is returned. User can poll the operation
* result via [GetOperation][google.longrunning.Operations.GetOperation]
- * method. Once the operation is done, [BatchPredictResult][google.cloud.automl.v1beta1.BatchPredictResult] is returned in
- * the [response][google.longrunning.Operation.response] field.
+ * method. Once the operation is done,
+ * [BatchPredictResult][google.cloud.automl.v1beta1.BatchPredictResult] is
+ * returned in the [response][google.longrunning.Operation.response] field.
* Available for following ML problems:
* * Image Classification
* * Image Object Detection
@@ -383,12 +387,14 @@ public com.google.cloud.automl.v1beta1.PredictResponse predict(
*
*
*
- * Perform a batch prediction. Unlike the online [Predict][google.cloud.automl.v1beta1.PredictionService.Predict], batch
+ * Perform a batch prediction. Unlike the online
+ * [Predict][google.cloud.automl.v1beta1.PredictionService.Predict], batch
* prediction result won't be immediately available in the response. Instead,
* a long running operation object is returned. User can poll the operation
* result via [GetOperation][google.longrunning.Operations.GetOperation]
- * method. Once the operation is done, [BatchPredictResult][google.cloud.automl.v1beta1.BatchPredictResult] is returned in
- * the [response][google.longrunning.Operation.response] field.
+ * method. Once the operation is done,
+ * [BatchPredictResult][google.cloud.automl.v1beta1.BatchPredictResult] is
+ * returned in the [response][google.longrunning.Operation.response] field.
* Available for following ML problems:
* * Image Classification
* * Image Object Detection
@@ -464,12 +470,14 @@ protected PredictionServiceFutureStub build(
*
*
*
- * Perform a batch prediction. Unlike the online [Predict][google.cloud.automl.v1beta1.PredictionService.Predict], batch
+ * Perform a batch prediction. Unlike the online
+ * [Predict][google.cloud.automl.v1beta1.PredictionService.Predict], batch
* prediction result won't be immediately available in the response. Instead,
* a long running operation object is returned. User can poll the operation
* result via [GetOperation][google.longrunning.Operations.GetOperation]
- * method. Once the operation is done, [BatchPredictResult][google.cloud.automl.v1beta1.BatchPredictResult] is returned in
- * the [response][google.longrunning.Operation.response] field.
+ * method. Once the operation is done,
+ * [BatchPredictResult][google.cloud.automl.v1beta1.BatchPredictResult] is
+ * returned in the [response][google.longrunning.Operation.response] field.
* Available for following ML problems:
* * Image Classification
* * Image Object Detection
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictRequest.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictRequest.java
index d919f82ac05c..ec179a0113bd 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictRequest.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictRequest.java
@@ -7,7 +7,8 @@
*
*
*
- * Request message for [PredictionService.BatchPredict][google.cloud.automl.v1beta1.PredictionService.BatchPredict].
+ * Request message for
+ * [PredictionService.BatchPredict][google.cloud.automl.v1beta1.PredictionService.BatchPredict].
*
*
* Protobuf type {@code google.cloud.automl.v1beta1.BatchPredictRequest}
@@ -793,7 +794,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
*
*
*
- * Request message for [PredictionService.BatchPredict][google.cloud.automl.v1beta1.PredictionService.BatchPredict].
+ * Request message for
+ * [PredictionService.BatchPredict][google.cloud.automl.v1beta1.PredictionService.BatchPredict].
*
*
* Protobuf type {@code google.cloud.automl.v1beta1.BatchPredictRequest}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictResult.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictResult.java
index 87e8a97dbf7a..b3bdcdfda53e 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictResult.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictResult.java
@@ -9,7 +9,8 @@
*
* Result of the Batch Predict. This message is returned in
* [response][google.longrunning.Operation.response] of the operation returned
- * by the [PredictionService.BatchPredict][google.cloud.automl.v1beta1.PredictionService.BatchPredict].
+ * by the
+ * [PredictionService.BatchPredict][google.cloud.automl.v1beta1.PredictionService.BatchPredict].
*
*
* Protobuf type {@code google.cloud.automl.v1beta1.BatchPredictResult}
@@ -401,7 +402,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
*
* Result of the Batch Predict. This message is returned in
* [response][google.longrunning.Operation.response] of the operation returned
- * by the [PredictionService.BatchPredict][google.cloud.automl.v1beta1.PredictionService.BatchPredict].
+ * by the
+ * [PredictionService.BatchPredict][google.cloud.automl.v1beta1.PredictionService.BatchPredict].
*
*
* Protobuf type {@code google.cloud.automl.v1beta1.BatchPredictResult}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataItems.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataItems.java
index 0990b9dc6177..3098c097cd82 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataItems.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataItems.java
@@ -20,10 +20,18 @@ public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry r
internal_static_google_cloud_automl_v1beta1_TextSnippet_descriptor;
static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_google_cloud_automl_v1beta1_TextSnippet_fieldAccessorTable;
+ static final com.google.protobuf.Descriptors.Descriptor
+ internal_static_google_cloud_automl_v1beta1_DocumentDimensions_descriptor;
+ static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+ internal_static_google_cloud_automl_v1beta1_DocumentDimensions_fieldAccessorTable;
static final com.google.protobuf.Descriptors.Descriptor
internal_static_google_cloud_automl_v1beta1_Document_descriptor;
static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_google_cloud_automl_v1beta1_Document_fieldAccessorTable;
+ static final com.google.protobuf.Descriptors.Descriptor
+ internal_static_google_cloud_automl_v1beta1_Document_Layout_descriptor;
+ static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+ internal_static_google_cloud_automl_v1beta1_Document_Layout_fieldAccessorTable;
static final com.google.protobuf.Descriptors.Descriptor
internal_static_google_cloud_automl_v1beta1_Row_descriptor;
static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
@@ -42,31 +50,56 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
static {
java.lang.String[] descriptorData = {
"\n,google/cloud/automl/v1beta1/data_items"
- + ".proto\022\033google.cloud.automl.v1beta1\032$goo"
- + "gle/cloud/automl/v1beta1/io.proto\032\031googl"
- + "e/protobuf/any.proto\032\036google/protobuf/du"
- + "ration.proto\032\034google/protobuf/struct.pro"
- + "to\032\034google/api/annotations.proto\"\177\n\005Imag"
- + "e\022\025\n\013image_bytes\030\001 \001(\014H\000\022@\n\014input_config"
- + "\030\006 \001(\0132(.google.cloud.automl.v1beta1.Inp"
- + "utConfigH\000\022\025\n\rthumbnail_uri\030\004 \001(\tB\006\n\004dat"
- + "a\"F\n\013TextSnippet\022\017\n\007content\030\001 \001(\t\022\021\n\tmim"
- + "e_type\030\002 \001(\t\022\023\n\013content_uri\030\004 \001(\t\"R\n\010Doc"
- + "ument\022F\n\014input_config\030\001 \001(\01320.google.clo"
- + "ud.automl.v1beta1.DocumentInputConfig\"F\n"
- + "\003Row\022\027\n\017column_spec_ids\030\002 \003(\t\022&\n\006values\030"
- + "\003 \003(\0132\026.google.protobuf.Value\"\376\001\n\016Exampl"
- + "ePayload\0223\n\005image\030\001 \001(\0132\".google.cloud.a"
- + "utoml.v1beta1.ImageH\000\022@\n\014text_snippet\030\002 "
- + "\001(\0132(.google.cloud.automl.v1beta1.TextSn"
- + "ippetH\000\0229\n\010document\030\004 \001(\0132%.google.cloud"
- + ".automl.v1beta1.DocumentH\000\022/\n\003row\030\003 \001(\0132"
- + " .google.cloud.automl.v1beta1.RowH\000B\t\n\007p"
- + "ayloadB\245\001\n\037com.google.cloud.automl.v1bet"
- + "a1P\001ZAgoogle.golang.org/genproto/googlea"
- + "pis/cloud/automl/v1beta1;automl\312\002\033Google"
- + "\\Cloud\\AutoMl\\V1beta1\352\002\036Google::Cloud::A"
- + "utoML::V1beta1b\006proto3"
+ + ".proto\022\033google.cloud.automl.v1beta1\032\034goo"
+ + "gle/api/annotations.proto\032*google/cloud/"
+ + "automl/v1beta1/geometry.proto\032$google/cl"
+ + "oud/automl/v1beta1/io.proto\032.google/clou"
+ + "d/automl/v1beta1/text_segment.proto\032\031goo"
+ + "gle/protobuf/any.proto\032\036google/protobuf/"
+ + "duration.proto\032\034google/protobuf/struct.p"
+ + "roto\"\177\n\005Image\022\025\n\013image_bytes\030\001 \001(\014H\000\022@\n\014"
+ + "input_config\030\006 \001(\0132(.google.cloud.automl"
+ + ".v1beta1.InputConfigH\000\022\025\n\rthumbnail_uri\030"
+ + "\004 \001(\tB\006\n\004data\"F\n\013TextSnippet\022\017\n\007content\030"
+ + "\001 \001(\t\022\021\n\tmime_type\030\002 \001(\t\022\023\n\013content_uri\030"
+ + "\004 \001(\t\"\357\001\n\022DocumentDimensions\022S\n\004unit\030\001 \001"
+ + "(\0162E.google.cloud.automl.v1beta1.Documen"
+ + "tDimensions.DocumentDimensionUnit\022\r\n\005wid"
+ + "th\030\002 \001(\002\022\016\n\006height\030\003 \001(\002\"e\n\025DocumentDime"
+ + "nsionUnit\022\'\n#DOCUMENT_DIMENSION_UNIT_UNS"
+ + "PECIFIED\020\000\022\010\n\004INCH\020\001\022\016\n\nCENTIMETER\020\002\022\t\n\005"
+ + "POINT\020\003\"\371\005\n\010Document\022F\n\014input_config\030\001 \001"
+ + "(\01320.google.cloud.automl.v1beta1.Documen"
+ + "tInputConfig\022?\n\rdocument_text\030\002 \001(\0132(.go"
+ + "ogle.cloud.automl.v1beta1.TextSnippet\022<\n"
+ + "\006layout\030\003 \003(\0132,.google.cloud.automl.v1be"
+ + "ta1.Document.Layout\022L\n\023document_dimensio"
+ + "ns\030\004 \001(\0132/.google.cloud.automl.v1beta1.D"
+ + "ocumentDimensions\022\022\n\npage_count\030\005 \001(\005\032\303\003"
+ + "\n\006Layout\022>\n\014text_segment\030\001 \001(\0132(.google."
+ + "cloud.automl.v1beta1.TextSegment\022\023\n\013page"
+ + "_number\030\002 \001(\005\022@\n\rbounding_poly\030\003 \001(\0132).g"
+ + "oogle.cloud.automl.v1beta1.BoundingPoly\022"
+ + "W\n\021text_segment_type\030\004 \001(\0162<.google.clou"
+ + "d.automl.v1beta1.Document.Layout.TextSeg"
+ + "mentType\"\310\001\n\017TextSegmentType\022!\n\035TEXT_SEG"
+ + "MENT_TYPE_UNSPECIFIED\020\000\022\t\n\005TOKEN\020\001\022\r\n\tPA"
+ + "RAGRAPH\020\002\022\016\n\nFORM_FIELD\020\003\022\023\n\017FORM_FIELD_"
+ + "NAME\020\004\022\027\n\023FORM_FIELD_CONTENTS\020\005\022\t\n\005TABLE"
+ + "\020\006\022\020\n\014TABLE_HEADER\020\007\022\r\n\tTABLE_ROW\020\010\022\016\n\nT"
+ + "ABLE_CELL\020\t\"F\n\003Row\022\027\n\017column_spec_ids\030\002 "
+ + "\003(\t\022&\n\006values\030\003 \003(\0132\026.google.protobuf.Va"
+ + "lue\"\376\001\n\016ExamplePayload\0223\n\005image\030\001 \001(\0132\"."
+ + "google.cloud.automl.v1beta1.ImageH\000\022@\n\014t"
+ + "ext_snippet\030\002 \001(\0132(.google.cloud.automl."
+ + "v1beta1.TextSnippetH\000\0229\n\010document\030\004 \001(\0132"
+ + "%.google.cloud.automl.v1beta1.DocumentH\000"
+ + "\022/\n\003row\030\003 \001(\0132 .google.cloud.automl.v1be"
+ + "ta1.RowH\000B\t\n\007payloadB\245\001\n\037com.google.clou"
+ + "d.automl.v1beta1P\001ZAgoogle.golang.org/ge"
+ + "nproto/googleapis/cloud/automl/v1beta1;a"
+ + "utoml\312\002\033Google\\Cloud\\AutoMl\\V1beta1\352\002\036Go"
+ + "ogle::Cloud::AutoML::V1beta1b\006proto3"
};
com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner assigner =
new com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner() {
@@ -79,11 +112,13 @@ public com.google.protobuf.ExtensionRegistry assignDescriptors(
com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
descriptorData,
new com.google.protobuf.Descriptors.FileDescriptor[] {
+ com.google.api.AnnotationsProto.getDescriptor(),
+ com.google.cloud.automl.v1beta1.Geometry.getDescriptor(),
com.google.cloud.automl.v1beta1.Io.getDescriptor(),
+ com.google.cloud.automl.v1beta1.TextSegmentProto.getDescriptor(),
com.google.protobuf.AnyProto.getDescriptor(),
com.google.protobuf.DurationProto.getDescriptor(),
com.google.protobuf.StructProto.getDescriptor(),
- com.google.api.AnnotationsProto.getDescriptor(),
},
assigner);
internal_static_google_cloud_automl_v1beta1_Image_descriptor =
@@ -102,16 +137,32 @@ public com.google.protobuf.ExtensionRegistry assignDescriptors(
new java.lang.String[] {
"Content", "MimeType", "ContentUri",
});
- internal_static_google_cloud_automl_v1beta1_Document_descriptor =
+ internal_static_google_cloud_automl_v1beta1_DocumentDimensions_descriptor =
getDescriptor().getMessageTypes().get(2);
+ internal_static_google_cloud_automl_v1beta1_DocumentDimensions_fieldAccessorTable =
+ new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+ internal_static_google_cloud_automl_v1beta1_DocumentDimensions_descriptor,
+ new java.lang.String[] {
+ "Unit", "Width", "Height",
+ });
+ internal_static_google_cloud_automl_v1beta1_Document_descriptor =
+ getDescriptor().getMessageTypes().get(3);
internal_static_google_cloud_automl_v1beta1_Document_fieldAccessorTable =
new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_google_cloud_automl_v1beta1_Document_descriptor,
new java.lang.String[] {
- "InputConfig",
+ "InputConfig", "DocumentText", "Layout", "DocumentDimensions", "PageCount",
+ });
+ internal_static_google_cloud_automl_v1beta1_Document_Layout_descriptor =
+ internal_static_google_cloud_automl_v1beta1_Document_descriptor.getNestedTypes().get(0);
+ internal_static_google_cloud_automl_v1beta1_Document_Layout_fieldAccessorTable =
+ new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+ internal_static_google_cloud_automl_v1beta1_Document_Layout_descriptor,
+ new java.lang.String[] {
+ "TextSegment", "PageNumber", "BoundingPoly", "TextSegmentType",
});
internal_static_google_cloud_automl_v1beta1_Row_descriptor =
- getDescriptor().getMessageTypes().get(3);
+ getDescriptor().getMessageTypes().get(4);
internal_static_google_cloud_automl_v1beta1_Row_fieldAccessorTable =
new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_google_cloud_automl_v1beta1_Row_descriptor,
@@ -119,18 +170,20 @@ public com.google.protobuf.ExtensionRegistry assignDescriptors(
"ColumnSpecIds", "Values",
});
internal_static_google_cloud_automl_v1beta1_ExamplePayload_descriptor =
- getDescriptor().getMessageTypes().get(4);
+ getDescriptor().getMessageTypes().get(5);
internal_static_google_cloud_automl_v1beta1_ExamplePayload_fieldAccessorTable =
new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_google_cloud_automl_v1beta1_ExamplePayload_descriptor,
new java.lang.String[] {
"Image", "TextSnippet", "Document", "Row", "Payload",
});
+ com.google.api.AnnotationsProto.getDescriptor();
+ com.google.cloud.automl.v1beta1.Geometry.getDescriptor();
com.google.cloud.automl.v1beta1.Io.getDescriptor();
+ com.google.cloud.automl.v1beta1.TextSegmentProto.getDescriptor();
com.google.protobuf.AnyProto.getDescriptor();
com.google.protobuf.DurationProto.getDescriptor();
com.google.protobuf.StructProto.getDescriptor();
- com.google.api.AnnotationsProto.getDescriptor();
}
// @@protoc_insertion_point(outer_class_scope)
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Document.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Document.java
index 18f3be1c62a6..86ef40f742f5 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Document.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Document.java
@@ -22,7 +22,9 @@ private Document(com.google.protobuf.GeneratedMessageV3.Builder> builder) {
super(builder);
}
- private Document() {}
+ private Document() {
+ layout_ = java.util.Collections.emptyList();
+ }
@java.lang.Override
public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
@@ -63,6 +65,56 @@ private Document(
inputConfig_ = subBuilder.buildPartial();
}
+ break;
+ }
+ case 18:
+ {
+ com.google.cloud.automl.v1beta1.TextSnippet.Builder subBuilder = null;
+ if (documentText_ != null) {
+ subBuilder = documentText_.toBuilder();
+ }
+ documentText_ =
+ input.readMessage(
+ com.google.cloud.automl.v1beta1.TextSnippet.parser(), extensionRegistry);
+ if (subBuilder != null) {
+ subBuilder.mergeFrom(documentText_);
+ documentText_ = subBuilder.buildPartial();
+ }
+
+ break;
+ }
+ case 26:
+ {
+ if (!((mutable_bitField0_ & 0x00000004) != 0)) {
+ layout_ =
+ new java.util.ArrayList();
+ mutable_bitField0_ |= 0x00000004;
+ }
+ layout_.add(
+ input.readMessage(
+ com.google.cloud.automl.v1beta1.Document.Layout.parser(), extensionRegistry));
+ break;
+ }
+ case 34:
+ {
+ com.google.cloud.automl.v1beta1.DocumentDimensions.Builder subBuilder = null;
+ if (documentDimensions_ != null) {
+ subBuilder = documentDimensions_.toBuilder();
+ }
+ documentDimensions_ =
+ input.readMessage(
+ com.google.cloud.automl.v1beta1.DocumentDimensions.parser(),
+ extensionRegistry);
+ if (subBuilder != null) {
+ subBuilder.mergeFrom(documentDimensions_);
+ documentDimensions_ = subBuilder.buildPartial();
+ }
+
+ break;
+ }
+ case 40:
+ {
+ pageCount_ = input.readInt32();
break;
}
default:
@@ -79,6 +131,9 @@ private Document(
} catch (java.io.IOException e) {
throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
} finally {
+ if (((mutable_bitField0_ & 0x00000004) != 0)) {
+ layout_ = java.util.Collections.unmodifiableList(layout_);
+ }
this.unknownFields = unknownFields.build();
makeExtensionsImmutable();
}
@@ -99,428 +154,3250 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
com.google.cloud.automl.v1beta1.Document.Builder.class);
}
- public static final int INPUT_CONFIG_FIELD_NUMBER = 1;
- private com.google.cloud.automl.v1beta1.DocumentInputConfig inputConfig_;
- /**
- *
- *
- *
- * An input config specifying the content of the document.
- *
- *
- * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1;
- */
- public boolean hasInputConfig() {
- return inputConfig_ != null;
- }
- /**
- *
- *
- *
- * An input config specifying the content of the document.
- *
- *
- * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1;
- */
- public com.google.cloud.automl.v1beta1.DocumentInputConfig getInputConfig() {
- return inputConfig_ == null
- ? com.google.cloud.automl.v1beta1.DocumentInputConfig.getDefaultInstance()
- : inputConfig_;
+ public interface LayoutOrBuilder
+ extends
+ // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.Document.Layout)
+ com.google.protobuf.MessageOrBuilder {
+
+ /**
+ *
+ *
+ *
+ * Text Segment that represents a segment in
+ * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+ *
+ *
+ * .google.cloud.automl.v1beta1.TextSegment text_segment = 1;
+ */
+ boolean hasTextSegment();
+ /**
+ *
+ *
+ *
+ * Text Segment that represents a segment in
+ * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+ *
+ *
+ * .google.cloud.automl.v1beta1.TextSegment text_segment = 1;
+ */
+ com.google.cloud.automl.v1beta1.TextSegment getTextSegment();
+ /**
+ *
+ *
+ *
+ * Text Segment that represents a segment in
+ * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+ *
+ *
+ * .google.cloud.automl.v1beta1.TextSegment text_segment = 1;
+ */
+ com.google.cloud.automl.v1beta1.TextSegmentOrBuilder getTextSegmentOrBuilder();
+
+ /**
+ *
+ *
+ *
+ * Page number of the
+ * [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment]
+ * in the original document, starts from 1.
+ *
+ *
+ * int32 page_number = 2;
+ */
+ int getPageNumber();
+
+ /**
+ *
+ *
+ *
+ * The position of the
+ * [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment]
+ * in the page. Contains exactly 4
+ * [normalized_vertices][google.cloud.automl.v1beta1.BoundingPoly.normalized_vertices]
+ * and they are connected by edges in the order provided, which will
+ * represent a rectangle parallel to the frame. The
+ * [NormalizedVertex-s][google.cloud.automl.v1beta1.NormalizedVertex] are
+ * relative to the page.
+ * Coordinates are based on top-left as point (0,0).
+ *
+ *
+ * .google.cloud.automl.v1beta1.BoundingPoly bounding_poly = 3;
+ */
+ boolean hasBoundingPoly();
+ /**
+ *
+ *
+ *
+ * The position of the
+ * [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment]
+ * in the page. Contains exactly 4
+ * [normalized_vertices][google.cloud.automl.v1beta1.BoundingPoly.normalized_vertices]
+ * and they are connected by edges in the order provided, which will
+ * represent a rectangle parallel to the frame. The
+ * [NormalizedVertex-s][google.cloud.automl.v1beta1.NormalizedVertex] are
+ * relative to the page.
+ * Coordinates are based on top-left as point (0,0).
+ *
+ *
+ * .google.cloud.automl.v1beta1.BoundingPoly bounding_poly = 3;
+ */
+ com.google.cloud.automl.v1beta1.BoundingPoly getBoundingPoly();
+ /**
+ *
+ *
+ *
+ * The position of the
+ * [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment]
+ * in the page. Contains exactly 4
+ * [normalized_vertices][google.cloud.automl.v1beta1.BoundingPoly.normalized_vertices]
+ * and they are connected by edges in the order provided, which will
+ * represent a rectangle parallel to the frame. The
+ * [NormalizedVertex-s][google.cloud.automl.v1beta1.NormalizedVertex] are
+ * relative to the page.
+ * Coordinates are based on top-left as point (0,0).
+ *
+ *
+ * .google.cloud.automl.v1beta1.BoundingPoly bounding_poly = 3;
+ */
+ com.google.cloud.automl.v1beta1.BoundingPolyOrBuilder getBoundingPolyOrBuilder();
+
+ /**
+ *
+ *
+ *
+ * The type of the
+ * [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment]
+ * in document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.Document.Layout.TextSegmentType text_segment_type = 4;
+ *
+ */
+ int getTextSegmentTypeValue();
+ /**
+ *
+ *
+ *
+ * The type of the
+ * [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment]
+ * in document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.Document.Layout.TextSegmentType text_segment_type = 4;
+ *
+ */
+ com.google.cloud.automl.v1beta1.Document.Layout.TextSegmentType getTextSegmentType();
}
/**
*
*
*
- * An input config specifying the content of the document.
+ * Describes the layout information of a
+ * [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] in
+ * the document.
*
*
- * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1;
+ * Protobuf type {@code google.cloud.automl.v1beta1.Document.Layout}
*/
- public com.google.cloud.automl.v1beta1.DocumentInputConfigOrBuilder getInputConfigOrBuilder() {
- return getInputConfig();
- }
-
- private byte memoizedIsInitialized = -1;
-
- @java.lang.Override
- public final boolean isInitialized() {
- byte isInitialized = memoizedIsInitialized;
- if (isInitialized == 1) return true;
- if (isInitialized == 0) return false;
+ public static final class Layout extends com.google.protobuf.GeneratedMessageV3
+ implements
+ // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.Document.Layout)
+ LayoutOrBuilder {
+ private static final long serialVersionUID = 0L;
+ // Use Layout.newBuilder() to construct.
+ private Layout(com.google.protobuf.GeneratedMessageV3.Builder> builder) {
+ super(builder);
+ }
- memoizedIsInitialized = 1;
- return true;
- }
+ private Layout() {
+ textSegmentType_ = 0;
+ }
- @java.lang.Override
- public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
- if (inputConfig_ != null) {
- output.writeMessage(1, getInputConfig());
+ @java.lang.Override
+ public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+ return this.unknownFields;
}
- unknownFields.writeTo(output);
- }
- @java.lang.Override
- public int getSerializedSize() {
- int size = memoizedSize;
- if (size != -1) return size;
+ private Layout(
+ com.google.protobuf.CodedInputStream input,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ this();
+ if (extensionRegistry == null) {
+ throw new java.lang.NullPointerException();
+ }
+ int mutable_bitField0_ = 0;
+ com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+ com.google.protobuf.UnknownFieldSet.newBuilder();
+ try {
+ boolean done = false;
+ while (!done) {
+ int tag = input.readTag();
+ switch (tag) {
+ case 0:
+ done = true;
+ break;
+ case 10:
+ {
+ com.google.cloud.automl.v1beta1.TextSegment.Builder subBuilder = null;
+ if (textSegment_ != null) {
+ subBuilder = textSegment_.toBuilder();
+ }
+ textSegment_ =
+ input.readMessage(
+ com.google.cloud.automl.v1beta1.TextSegment.parser(), extensionRegistry);
+ if (subBuilder != null) {
+ subBuilder.mergeFrom(textSegment_);
+ textSegment_ = subBuilder.buildPartial();
+ }
+
+ break;
+ }
+ case 16:
+ {
+ pageNumber_ = input.readInt32();
+ break;
+ }
+ case 26:
+ {
+ com.google.cloud.automl.v1beta1.BoundingPoly.Builder subBuilder = null;
+ if (boundingPoly_ != null) {
+ subBuilder = boundingPoly_.toBuilder();
+ }
+ boundingPoly_ =
+ input.readMessage(
+ com.google.cloud.automl.v1beta1.BoundingPoly.parser(), extensionRegistry);
+ if (subBuilder != null) {
+ subBuilder.mergeFrom(boundingPoly_);
+ boundingPoly_ = subBuilder.buildPartial();
+ }
+
+ break;
+ }
+ case 32:
+ {
+ int rawValue = input.readEnum();
- size = 0;
- if (inputConfig_ != null) {
- size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getInputConfig());
+ textSegmentType_ = rawValue;
+ break;
+ }
+ default:
+ {
+ if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+ done = true;
+ }
+ break;
+ }
+ }
+ }
+ } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+ throw e.setUnfinishedMessage(this);
+ } catch (java.io.IOException e) {
+ throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+ } finally {
+ this.unknownFields = unknownFields.build();
+ makeExtensionsImmutable();
+ }
}
- size += unknownFields.getSerializedSize();
- memoizedSize = size;
- return size;
- }
- @java.lang.Override
- public boolean equals(final java.lang.Object obj) {
- if (obj == this) {
- return true;
- }
- if (!(obj instanceof com.google.cloud.automl.v1beta1.Document)) {
- return super.equals(obj);
+ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+ return com.google.cloud.automl.v1beta1.DataItems
+ .internal_static_google_cloud_automl_v1beta1_Document_Layout_descriptor;
}
- com.google.cloud.automl.v1beta1.Document other = (com.google.cloud.automl.v1beta1.Document) obj;
- if (hasInputConfig() != other.hasInputConfig()) return false;
- if (hasInputConfig()) {
- if (!getInputConfig().equals(other.getInputConfig())) return false;
+ @java.lang.Override
+ protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+ internalGetFieldAccessorTable() {
+ return com.google.cloud.automl.v1beta1.DataItems
+ .internal_static_google_cloud_automl_v1beta1_Document_Layout_fieldAccessorTable
+ .ensureFieldAccessorsInitialized(
+ com.google.cloud.automl.v1beta1.Document.Layout.class,
+ com.google.cloud.automl.v1beta1.Document.Layout.Builder.class);
}
- if (!unknownFields.equals(other.unknownFields)) return false;
- return true;
- }
- @java.lang.Override
- public int hashCode() {
- if (memoizedHashCode != 0) {
- return memoizedHashCode;
- }
- int hash = 41;
- hash = (19 * hash) + getDescriptor().hashCode();
- if (hasInputConfig()) {
- hash = (37 * hash) + INPUT_CONFIG_FIELD_NUMBER;
- hash = (53 * hash) + getInputConfig().hashCode();
- }
- hash = (29 * hash) + unknownFields.hashCode();
- memoizedHashCode = hash;
- return hash;
- }
+ /**
+ *
+ *
+ *
+ * The type of TextSegment in the context of the original document.
+ *
+ *
+ * Protobuf enum {@code google.cloud.automl.v1beta1.Document.Layout.TextSegmentType}
+ */
+ public enum TextSegmentType implements com.google.protobuf.ProtocolMessageEnum {
+ /**
+ *
+ *
+ *
+ * Should not be used.
+ *
+ *
+ * TEXT_SEGMENT_TYPE_UNSPECIFIED = 0;
+ */
+ TEXT_SEGMENT_TYPE_UNSPECIFIED(0),
+ /**
+ *
+ *
+ *
+ * The text segment is a token. e.g. word.
+ *
+ *
+ * TOKEN = 1;
+ */
+ TOKEN(1),
+ /**
+ *
+ *
+ *
+ * The text segment is a paragraph.
+ *
+ *
+ * PARAGRAPH = 2;
+ */
+ PARAGRAPH(2),
+ /**
+ *
+ *
+ *
+ * The text segment is a form field.
+ *
+ *
+ * FORM_FIELD = 3;
+ */
+ FORM_FIELD(3),
+ /**
+ *
+ *
+ *
+ * The text segment is the name part of a form field. It will be treated
+ * as child of another FORM_FIELD TextSegment if its span is subspan of
+ * another TextSegment with type FORM_FIELD.
+ *
+ *
+ * FORM_FIELD_NAME = 4;
+ */
+ FORM_FIELD_NAME(4),
+ /**
+ *
+ *
+ *
+ * The text segment is the text content part of a form field. It will be
+ * treated as child of another FORM_FIELD TextSegment if its span is
+ * subspan of another TextSegment with type FORM_FIELD.
+ *
+ *
+ * FORM_FIELD_CONTENTS = 5;
+ */
+ FORM_FIELD_CONTENTS(5),
+ /**
+ *
+ *
+ *
+ * The text segment is a whole table, including headers, and all rows.
+ *
+ *
+ * TABLE = 6;
+ */
+ TABLE(6),
+ /**
+ *
+ *
+ *
+ * The text segment is a table's headers. It will be treated as child of
+ * another TABLE TextSegment if its span is subspan of another TextSegment
+ * with type TABLE.
+ *
+ *
+ * TABLE_HEADER = 7;
+ */
+ TABLE_HEADER(7),
+ /**
+ *
+ *
+ *
+ * The text segment is a row in table. It will be treated as child of
+ * another TABLE TextSegment if its span is subspan of another TextSegment
+ * with type TABLE.
+ *
+ *
+ * TABLE_ROW = 8;
+ */
+ TABLE_ROW(8),
+ /**
+ *
+ *
+ *
+ * The text segment is a cell in table. It will be treated as child of
+ * another TABLE_ROW TextSegment if its span is subspan of another
+ * TextSegment with type TABLE_ROW.
+ *
+ *
+ * TABLE_CELL = 9;
+ */
+ TABLE_CELL(9),
+ UNRECOGNIZED(-1),
+ ;
+
+ /**
+ *
+ *
+ *
+ * Should not be used.
+ *
+ *
+ * TEXT_SEGMENT_TYPE_UNSPECIFIED = 0;
+ */
+ public static final int TEXT_SEGMENT_TYPE_UNSPECIFIED_VALUE = 0;
+ /**
+ *
+ *
+ *
+ * The text segment is a token. e.g. word.
+ *
+ *
+ * TOKEN = 1;
+ */
+ public static final int TOKEN_VALUE = 1;
+ /**
+ *
+ *
+ *
+ * The text segment is a paragraph.
+ *
+ *
+ * PARAGRAPH = 2;
+ */
+ public static final int PARAGRAPH_VALUE = 2;
+ /**
+ *
+ *
+ *
+ * The text segment is a form field.
+ *
+ *
+ * FORM_FIELD = 3;
+ */
+ public static final int FORM_FIELD_VALUE = 3;
+ /**
+ *
+ *
+ *
+ * The text segment is the name part of a form field. It will be treated
+ * as child of another FORM_FIELD TextSegment if its span is subspan of
+ * another TextSegment with type FORM_FIELD.
+ *
+ *
+ * FORM_FIELD_NAME = 4;
+ */
+ public static final int FORM_FIELD_NAME_VALUE = 4;
+ /**
+ *
+ *
+ *
+ * The text segment is the text content part of a form field. It will be
+ * treated as child of another FORM_FIELD TextSegment if its span is
+ * subspan of another TextSegment with type FORM_FIELD.
+ *
+ *
+ * FORM_FIELD_CONTENTS = 5;
+ */
+ public static final int FORM_FIELD_CONTENTS_VALUE = 5;
+ /**
+ *
+ *
+ *
+ * The text segment is a whole table, including headers, and all rows.
+ *
+ *
+ * TABLE = 6;
+ */
+ public static final int TABLE_VALUE = 6;
+ /**
+ *
+ *
+ *
+ * The text segment is a table's headers. It will be treated as child of
+ * another TABLE TextSegment if its span is subspan of another TextSegment
+ * with type TABLE.
+ *
+ *
+ * TABLE_HEADER = 7;
+ */
+ public static final int TABLE_HEADER_VALUE = 7;
+ /**
+ *
+ *
+ *
+ * The text segment is a row in table. It will be treated as child of
+ * another TABLE TextSegment if its span is subspan of another TextSegment
+ * with type TABLE.
+ *
+ *
+ * TABLE_ROW = 8;
+ */
+ public static final int TABLE_ROW_VALUE = 8;
+ /**
+ *
+ *
+ *
+ * The text segment is a cell in table. It will be treated as child of
+ * another TABLE_ROW TextSegment if its span is subspan of another
+ * TextSegment with type TABLE_ROW.
+ *
+ *
+ * TABLE_CELL = 9;
+ */
+ public static final int TABLE_CELL_VALUE = 9;
+
+ public final int getNumber() {
+ if (this == UNRECOGNIZED) {
+ throw new java.lang.IllegalArgumentException(
+ "Can't get the number of an unknown enum value.");
+ }
+ return value;
+ }
- public static com.google.cloud.automl.v1beta1.Document parseFrom(java.nio.ByteBuffer data)
- throws com.google.protobuf.InvalidProtocolBufferException {
- return PARSER.parseFrom(data);
- }
+ /** @deprecated Use {@link #forNumber(int)} instead. */
+ @java.lang.Deprecated
+ public static TextSegmentType valueOf(int value) {
+ return forNumber(value);
+ }
- public static com.google.cloud.automl.v1beta1.Document parseFrom(
- java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
- throws com.google.protobuf.InvalidProtocolBufferException {
- return PARSER.parseFrom(data, extensionRegistry);
- }
+ public static TextSegmentType forNumber(int value) {
+ switch (value) {
+ case 0:
+ return TEXT_SEGMENT_TYPE_UNSPECIFIED;
+ case 1:
+ return TOKEN;
+ case 2:
+ return PARAGRAPH;
+ case 3:
+ return FORM_FIELD;
+ case 4:
+ return FORM_FIELD_NAME;
+ case 5:
+ return FORM_FIELD_CONTENTS;
+ case 6:
+ return TABLE;
+ case 7:
+ return TABLE_HEADER;
+ case 8:
+ return TABLE_ROW;
+ case 9:
+ return TABLE_CELL;
+ default:
+ return null;
+ }
+ }
- public static com.google.cloud.automl.v1beta1.Document parseFrom(
- com.google.protobuf.ByteString data)
- throws com.google.protobuf.InvalidProtocolBufferException {
- return PARSER.parseFrom(data);
- }
+ public static com.google.protobuf.Internal.EnumLiteMap
+ internalGetValueMap() {
+ return internalValueMap;
+ }
- public static com.google.cloud.automl.v1beta1.Document parseFrom(
- com.google.protobuf.ByteString data,
- com.google.protobuf.ExtensionRegistryLite extensionRegistry)
- throws com.google.protobuf.InvalidProtocolBufferException {
- return PARSER.parseFrom(data, extensionRegistry);
- }
+ private static final com.google.protobuf.Internal.EnumLiteMap
+ internalValueMap =
+ new com.google.protobuf.Internal.EnumLiteMap() {
+ public TextSegmentType findValueByNumber(int number) {
+ return TextSegmentType.forNumber(number);
+ }
+ };
- public static com.google.cloud.automl.v1beta1.Document parseFrom(byte[] data)
- throws com.google.protobuf.InvalidProtocolBufferException {
- return PARSER.parseFrom(data);
- }
+ public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() {
+ return getDescriptor().getValues().get(ordinal());
+ }
- public static com.google.cloud.automl.v1beta1.Document parseFrom(
- byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
- throws com.google.protobuf.InvalidProtocolBufferException {
- return PARSER.parseFrom(data, extensionRegistry);
- }
+ public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType() {
+ return getDescriptor();
+ }
- public static com.google.cloud.automl.v1beta1.Document parseFrom(java.io.InputStream input)
- throws java.io.IOException {
- return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
- }
-
- public static com.google.cloud.automl.v1beta1.Document parseFrom(
- java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
- throws java.io.IOException {
- return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
- PARSER, input, extensionRegistry);
- }
+ public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor() {
+ return com.google.cloud.automl.v1beta1.Document.Layout.getDescriptor()
+ .getEnumTypes()
+ .get(0);
+ }
- public static com.google.cloud.automl.v1beta1.Document parseDelimitedFrom(
- java.io.InputStream input) throws java.io.IOException {
- return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
- }
+ private static final TextSegmentType[] VALUES = values();
- public static com.google.cloud.automl.v1beta1.Document parseDelimitedFrom(
- java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
- throws java.io.IOException {
- return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
- PARSER, input, extensionRegistry);
- }
+ public static TextSegmentType valueOf(
+ com.google.protobuf.Descriptors.EnumValueDescriptor desc) {
+ if (desc.getType() != getDescriptor()) {
+ throw new java.lang.IllegalArgumentException("EnumValueDescriptor is not for this type.");
+ }
+ if (desc.getIndex() == -1) {
+ return UNRECOGNIZED;
+ }
+ return VALUES[desc.getIndex()];
+ }
- public static com.google.cloud.automl.v1beta1.Document parseFrom(
- com.google.protobuf.CodedInputStream input) throws java.io.IOException {
- return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
- }
+ private final int value;
- public static com.google.cloud.automl.v1beta1.Document parseFrom(
- com.google.protobuf.CodedInputStream input,
- com.google.protobuf.ExtensionRegistryLite extensionRegistry)
- throws java.io.IOException {
- return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
- PARSER, input, extensionRegistry);
- }
+ private TextSegmentType(int value) {
+ this.value = value;
+ }
- @java.lang.Override
- public Builder newBuilderForType() {
- return newBuilder();
- }
+ // @@protoc_insertion_point(enum_scope:google.cloud.automl.v1beta1.Document.Layout.TextSegmentType)
+ }
- public static Builder newBuilder() {
- return DEFAULT_INSTANCE.toBuilder();
- }
+ public static final int TEXT_SEGMENT_FIELD_NUMBER = 1;
+ private com.google.cloud.automl.v1beta1.TextSegment textSegment_;
+ /**
+ *
+ *
+ *
+ * Text Segment that represents a segment in
+ * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+ *
+ *
+ * .google.cloud.automl.v1beta1.TextSegment text_segment = 1;
+ */
+ public boolean hasTextSegment() {
+ return textSegment_ != null;
+ }
+ /**
+ *
+ *
+ *
+ * Text Segment that represents a segment in
+ * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+ *
+ *
+ * .google.cloud.automl.v1beta1.TextSegment text_segment = 1;
+ */
+ public com.google.cloud.automl.v1beta1.TextSegment getTextSegment() {
+ return textSegment_ == null
+ ? com.google.cloud.automl.v1beta1.TextSegment.getDefaultInstance()
+ : textSegment_;
+ }
+ /**
+ *
+ *
+ *
+ * Text Segment that represents a segment in
+ * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+ *
+ *
+ * .google.cloud.automl.v1beta1.TextSegment text_segment = 1;
+ */
+ public com.google.cloud.automl.v1beta1.TextSegmentOrBuilder getTextSegmentOrBuilder() {
+ return getTextSegment();
+ }
- public static Builder newBuilder(com.google.cloud.automl.v1beta1.Document prototype) {
- return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
- }
+ public static final int PAGE_NUMBER_FIELD_NUMBER = 2;
+ private int pageNumber_;
+ /**
+ *
+ *
+ *
+ * Page number of the
+ * [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment]
+ * in the original document, starts from 1.
+ *
+ *
+ * int32 page_number = 2;
+ */
+ public int getPageNumber() {
+ return pageNumber_;
+ }
- @java.lang.Override
- public Builder toBuilder() {
- return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
- }
+ public static final int BOUNDING_POLY_FIELD_NUMBER = 3;
+ private com.google.cloud.automl.v1beta1.BoundingPoly boundingPoly_;
+ /**
+ *
+ *
+ *
+ * The position of the
+ * [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment]
+ * in the page. Contains exactly 4
+ * [normalized_vertices][google.cloud.automl.v1beta1.BoundingPoly.normalized_vertices]
+ * and they are connected by edges in the order provided, which will
+ * represent a rectangle parallel to the frame. The
+ * [NormalizedVertex-s][google.cloud.automl.v1beta1.NormalizedVertex] are
+ * relative to the page.
+ * Coordinates are based on top-left as point (0,0).
+ *
+ *
+ * .google.cloud.automl.v1beta1.BoundingPoly bounding_poly = 3;
+ */
+ public boolean hasBoundingPoly() {
+ return boundingPoly_ != null;
+ }
+ /**
+ *
+ *
+ *
+ * The position of the
+ * [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment]
+ * in the page. Contains exactly 4
+ * [normalized_vertices][google.cloud.automl.v1beta1.BoundingPoly.normalized_vertices]
+ * and they are connected by edges in the order provided, which will
+ * represent a rectangle parallel to the frame. The
+ * [NormalizedVertex-s][google.cloud.automl.v1beta1.NormalizedVertex] are
+ * relative to the page.
+ * Coordinates are based on top-left as point (0,0).
+ *
+ *
+ * .google.cloud.automl.v1beta1.BoundingPoly bounding_poly = 3;
+ */
+ public com.google.cloud.automl.v1beta1.BoundingPoly getBoundingPoly() {
+ return boundingPoly_ == null
+ ? com.google.cloud.automl.v1beta1.BoundingPoly.getDefaultInstance()
+ : boundingPoly_;
+ }
+ /**
+ *
+ *
+ *
+ * The position of the
+ * [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment]
+ * in the page. Contains exactly 4
+ * [normalized_vertices][google.cloud.automl.v1beta1.BoundingPoly.normalized_vertices]
+ * and they are connected by edges in the order provided, which will
+ * represent a rectangle parallel to the frame. The
+ * [NormalizedVertex-s][google.cloud.automl.v1beta1.NormalizedVertex] are
+ * relative to the page.
+ * Coordinates are based on top-left as point (0,0).
+ *
+ *
+ * .google.cloud.automl.v1beta1.BoundingPoly bounding_poly = 3;
+ */
+ public com.google.cloud.automl.v1beta1.BoundingPolyOrBuilder getBoundingPolyOrBuilder() {
+ return getBoundingPoly();
+ }
- @java.lang.Override
- protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
- Builder builder = new Builder(parent);
- return builder;
- }
- /**
- *
- *
- *
- * A structured text document e.g. a PDF.
- *
- *
- * Protobuf type {@code google.cloud.automl.v1beta1.Document}
- */
- public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
- implements
- // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.Document)
- com.google.cloud.automl.v1beta1.DocumentOrBuilder {
- public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
- return com.google.cloud.automl.v1beta1.DataItems
- .internal_static_google_cloud_automl_v1beta1_Document_descriptor;
+ public static final int TEXT_SEGMENT_TYPE_FIELD_NUMBER = 4;
+ private int textSegmentType_;
+ /**
+ *
+ *
+ *
+ * The type of the
+ * [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment]
+ * in document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.Document.Layout.TextSegmentType text_segment_type = 4;
+ *
+ */
+ public int getTextSegmentTypeValue() {
+ return textSegmentType_;
+ }
+ /**
+ *
+ *
+ *
+ * The type of the
+ * [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment]
+ * in document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.Document.Layout.TextSegmentType text_segment_type = 4;
+ *
+ */
+ public com.google.cloud.automl.v1beta1.Document.Layout.TextSegmentType getTextSegmentType() {
+ @SuppressWarnings("deprecation")
+ com.google.cloud.automl.v1beta1.Document.Layout.TextSegmentType result =
+ com.google.cloud.automl.v1beta1.Document.Layout.TextSegmentType.valueOf(textSegmentType_);
+ return result == null
+ ? com.google.cloud.automl.v1beta1.Document.Layout.TextSegmentType.UNRECOGNIZED
+ : result;
}
+ private byte memoizedIsInitialized = -1;
+
@java.lang.Override
- protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
- internalGetFieldAccessorTable() {
- return com.google.cloud.automl.v1beta1.DataItems
- .internal_static_google_cloud_automl_v1beta1_Document_fieldAccessorTable
- .ensureFieldAccessorsInitialized(
- com.google.cloud.automl.v1beta1.Document.class,
- com.google.cloud.automl.v1beta1.Document.Builder.class);
+ public final boolean isInitialized() {
+ byte isInitialized = memoizedIsInitialized;
+ if (isInitialized == 1) return true;
+ if (isInitialized == 0) return false;
+
+ memoizedIsInitialized = 1;
+ return true;
}
- // Construct using com.google.cloud.automl.v1beta1.Document.newBuilder()
- private Builder() {
- maybeForceBuilderInitialization();
+ @java.lang.Override
+ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+ if (textSegment_ != null) {
+ output.writeMessage(1, getTextSegment());
+ }
+ if (pageNumber_ != 0) {
+ output.writeInt32(2, pageNumber_);
+ }
+ if (boundingPoly_ != null) {
+ output.writeMessage(3, getBoundingPoly());
+ }
+ if (textSegmentType_
+ != com.google.cloud.automl.v1beta1.Document.Layout.TextSegmentType
+ .TEXT_SEGMENT_TYPE_UNSPECIFIED
+ .getNumber()) {
+ output.writeEnum(4, textSegmentType_);
+ }
+ unknownFields.writeTo(output);
}
- private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
- super(parent);
- maybeForceBuilderInitialization();
+ @java.lang.Override
+ public int getSerializedSize() {
+ int size = memoizedSize;
+ if (size != -1) return size;
+
+ size = 0;
+ if (textSegment_ != null) {
+ size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getTextSegment());
+ }
+ if (pageNumber_ != 0) {
+ size += com.google.protobuf.CodedOutputStream.computeInt32Size(2, pageNumber_);
+ }
+ if (boundingPoly_ != null) {
+ size += com.google.protobuf.CodedOutputStream.computeMessageSize(3, getBoundingPoly());
+ }
+ if (textSegmentType_
+ != com.google.cloud.automl.v1beta1.Document.Layout.TextSegmentType
+ .TEXT_SEGMENT_TYPE_UNSPECIFIED
+ .getNumber()) {
+ size += com.google.protobuf.CodedOutputStream.computeEnumSize(4, textSegmentType_);
+ }
+ size += unknownFields.getSerializedSize();
+ memoizedSize = size;
+ return size;
}
- private void maybeForceBuilderInitialization() {
- if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+ @java.lang.Override
+ public boolean equals(final java.lang.Object obj) {
+ if (obj == this) {
+ return true;
+ }
+ if (!(obj instanceof com.google.cloud.automl.v1beta1.Document.Layout)) {
+ return super.equals(obj);
+ }
+ com.google.cloud.automl.v1beta1.Document.Layout other =
+ (com.google.cloud.automl.v1beta1.Document.Layout) obj;
+
+ if (hasTextSegment() != other.hasTextSegment()) return false;
+ if (hasTextSegment()) {
+ if (!getTextSegment().equals(other.getTextSegment())) return false;
+ }
+ if (getPageNumber() != other.getPageNumber()) return false;
+ if (hasBoundingPoly() != other.hasBoundingPoly()) return false;
+ if (hasBoundingPoly()) {
+ if (!getBoundingPoly().equals(other.getBoundingPoly())) return false;
+ }
+ if (textSegmentType_ != other.textSegmentType_) return false;
+ if (!unknownFields.equals(other.unknownFields)) return false;
+ return true;
}
@java.lang.Override
- public Builder clear() {
- super.clear();
- if (inputConfigBuilder_ == null) {
- inputConfig_ = null;
- } else {
- inputConfig_ = null;
- inputConfigBuilder_ = null;
+ public int hashCode() {
+ if (memoizedHashCode != 0) {
+ return memoizedHashCode;
}
- return this;
+ int hash = 41;
+ hash = (19 * hash) + getDescriptor().hashCode();
+ if (hasTextSegment()) {
+ hash = (37 * hash) + TEXT_SEGMENT_FIELD_NUMBER;
+ hash = (53 * hash) + getTextSegment().hashCode();
+ }
+ hash = (37 * hash) + PAGE_NUMBER_FIELD_NUMBER;
+ hash = (53 * hash) + getPageNumber();
+ if (hasBoundingPoly()) {
+ hash = (37 * hash) + BOUNDING_POLY_FIELD_NUMBER;
+ hash = (53 * hash) + getBoundingPoly().hashCode();
+ }
+ hash = (37 * hash) + TEXT_SEGMENT_TYPE_FIELD_NUMBER;
+ hash = (53 * hash) + textSegmentType_;
+ hash = (29 * hash) + unknownFields.hashCode();
+ memoizedHashCode = hash;
+ return hash;
+ }
+
+ public static com.google.cloud.automl.v1beta1.Document.Layout parseFrom(
+ java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.automl.v1beta1.Document.Layout parseFrom(
+ java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.automl.v1beta1.Document.Layout parseFrom(
+ com.google.protobuf.ByteString data)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.automl.v1beta1.Document.Layout parseFrom(
+ com.google.protobuf.ByteString data,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.automl.v1beta1.Document.Layout parseFrom(byte[] data)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.automl.v1beta1.Document.Layout parseFrom(
+ byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.automl.v1beta1.Document.Layout parseFrom(
+ java.io.InputStream input) throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.automl.v1beta1.Document.Layout parseFrom(
+ java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+ PARSER, input, extensionRegistry);
+ }
+
+ public static com.google.cloud.automl.v1beta1.Document.Layout parseDelimitedFrom(
+ java.io.InputStream input) throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.automl.v1beta1.Document.Layout parseDelimitedFrom(
+ java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+ PARSER, input, extensionRegistry);
+ }
+
+ public static com.google.cloud.automl.v1beta1.Document.Layout parseFrom(
+ com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.automl.v1beta1.Document.Layout parseFrom(
+ com.google.protobuf.CodedInputStream input,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+ PARSER, input, extensionRegistry);
}
@java.lang.Override
- public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
- return com.google.cloud.automl.v1beta1.DataItems
- .internal_static_google_cloud_automl_v1beta1_Document_descriptor;
+ public Builder newBuilderForType() {
+ return newBuilder();
+ }
+
+ public static Builder newBuilder() {
+ return DEFAULT_INSTANCE.toBuilder();
+ }
+
+ public static Builder newBuilder(com.google.cloud.automl.v1beta1.Document.Layout prototype) {
+ return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
}
@java.lang.Override
- public com.google.cloud.automl.v1beta1.Document getDefaultInstanceForType() {
- return com.google.cloud.automl.v1beta1.Document.getDefaultInstance();
+ public Builder toBuilder() {
+ return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
}
@java.lang.Override
- public com.google.cloud.automl.v1beta1.Document build() {
- com.google.cloud.automl.v1beta1.Document result = buildPartial();
- if (!result.isInitialized()) {
- throw newUninitializedMessageException(result);
+ protected Builder newBuilderForType(
+ com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+ Builder builder = new Builder(parent);
+ return builder;
+ }
+ /**
+ *
+ *
+ *
+ * Describes the layout information of a
+ * [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] in
+ * the document.
+ *
+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.Document.Layout}
+ */
+ public static final class Builder
+ extends com.google.protobuf.GeneratedMessageV3.Builder
+ implements
+ // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.Document.Layout)
+ com.google.cloud.automl.v1beta1.Document.LayoutOrBuilder {
+ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+ return com.google.cloud.automl.v1beta1.DataItems
+ .internal_static_google_cloud_automl_v1beta1_Document_Layout_descriptor;
+ }
+
+ @java.lang.Override
+ protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+ internalGetFieldAccessorTable() {
+ return com.google.cloud.automl.v1beta1.DataItems
+ .internal_static_google_cloud_automl_v1beta1_Document_Layout_fieldAccessorTable
+ .ensureFieldAccessorsInitialized(
+ com.google.cloud.automl.v1beta1.Document.Layout.class,
+ com.google.cloud.automl.v1beta1.Document.Layout.Builder.class);
+ }
+
+ // Construct using com.google.cloud.automl.v1beta1.Document.Layout.newBuilder()
+ private Builder() {
+ maybeForceBuilderInitialization();
+ }
+
+ private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+ super(parent);
+ maybeForceBuilderInitialization();
+ }
+
+ private void maybeForceBuilderInitialization() {
+ if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+ }
+
+ @java.lang.Override
+ public Builder clear() {
+ super.clear();
+ if (textSegmentBuilder_ == null) {
+ textSegment_ = null;
+ } else {
+ textSegment_ = null;
+ textSegmentBuilder_ = null;
+ }
+ pageNumber_ = 0;
+
+ if (boundingPolyBuilder_ == null) {
+ boundingPoly_ = null;
+ } else {
+ boundingPoly_ = null;
+ boundingPolyBuilder_ = null;
+ }
+ textSegmentType_ = 0;
+
+ return this;
+ }
+
+ @java.lang.Override
+ public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+ return com.google.cloud.automl.v1beta1.DataItems
+ .internal_static_google_cloud_automl_v1beta1_Document_Layout_descriptor;
+ }
+
+ @java.lang.Override
+ public com.google.cloud.automl.v1beta1.Document.Layout getDefaultInstanceForType() {
+ return com.google.cloud.automl.v1beta1.Document.Layout.getDefaultInstance();
+ }
+
+ @java.lang.Override
+ public com.google.cloud.automl.v1beta1.Document.Layout build() {
+ com.google.cloud.automl.v1beta1.Document.Layout result = buildPartial();
+ if (!result.isInitialized()) {
+ throw newUninitializedMessageException(result);
+ }
+ return result;
+ }
+
+ @java.lang.Override
+ public com.google.cloud.automl.v1beta1.Document.Layout buildPartial() {
+ com.google.cloud.automl.v1beta1.Document.Layout result =
+ new com.google.cloud.automl.v1beta1.Document.Layout(this);
+ if (textSegmentBuilder_ == null) {
+ result.textSegment_ = textSegment_;
+ } else {
+ result.textSegment_ = textSegmentBuilder_.build();
+ }
+ result.pageNumber_ = pageNumber_;
+ if (boundingPolyBuilder_ == null) {
+ result.boundingPoly_ = boundingPoly_;
+ } else {
+ result.boundingPoly_ = boundingPolyBuilder_.build();
+ }
+ result.textSegmentType_ = textSegmentType_;
+ onBuilt();
+ return result;
+ }
+
+ @java.lang.Override
+ public Builder clone() {
+ return super.clone();
+ }
+
+ @java.lang.Override
+ public Builder setField(
+ com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+ return super.setField(field, value);
+ }
+
+ @java.lang.Override
+ public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+ return super.clearField(field);
+ }
+
+ @java.lang.Override
+ public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+ return super.clearOneof(oneof);
+ }
+
+ @java.lang.Override
+ public Builder setRepeatedField(
+ com.google.protobuf.Descriptors.FieldDescriptor field,
+ int index,
+ java.lang.Object value) {
+ return super.setRepeatedField(field, index, value);
+ }
+
+ @java.lang.Override
+ public Builder addRepeatedField(
+ com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+ return super.addRepeatedField(field, value);
+ }
+
+ @java.lang.Override
+ public Builder mergeFrom(com.google.protobuf.Message other) {
+ if (other instanceof com.google.cloud.automl.v1beta1.Document.Layout) {
+ return mergeFrom((com.google.cloud.automl.v1beta1.Document.Layout) other);
+ } else {
+ super.mergeFrom(other);
+ return this;
+ }
+ }
+
+ public Builder mergeFrom(com.google.cloud.automl.v1beta1.Document.Layout other) {
+ if (other == com.google.cloud.automl.v1beta1.Document.Layout.getDefaultInstance())
+ return this;
+ if (other.hasTextSegment()) {
+ mergeTextSegment(other.getTextSegment());
+ }
+ if (other.getPageNumber() != 0) {
+ setPageNumber(other.getPageNumber());
+ }
+ if (other.hasBoundingPoly()) {
+ mergeBoundingPoly(other.getBoundingPoly());
+ }
+ if (other.textSegmentType_ != 0) {
+ setTextSegmentTypeValue(other.getTextSegmentTypeValue());
+ }
+ this.mergeUnknownFields(other.unknownFields);
+ onChanged();
+ return this;
+ }
+
+ @java.lang.Override
+ public final boolean isInitialized() {
+ return true;
+ }
+
+ @java.lang.Override
+ public Builder mergeFrom(
+ com.google.protobuf.CodedInputStream input,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ com.google.cloud.automl.v1beta1.Document.Layout parsedMessage = null;
+ try {
+ parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+ } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+ parsedMessage =
+ (com.google.cloud.automl.v1beta1.Document.Layout) e.getUnfinishedMessage();
+ throw e.unwrapIOException();
+ } finally {
+ if (parsedMessage != null) {
+ mergeFrom(parsedMessage);
+ }
+ }
+ return this;
+ }
+
+ private com.google.cloud.automl.v1beta1.TextSegment textSegment_;
+ private com.google.protobuf.SingleFieldBuilderV3<
+ com.google.cloud.automl.v1beta1.TextSegment,
+ com.google.cloud.automl.v1beta1.TextSegment.Builder,
+ com.google.cloud.automl.v1beta1.TextSegmentOrBuilder>
+ textSegmentBuilder_;
+ /**
+ *
+ *
+ *
+ * Text Segment that represents a segment in
+ * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+ *
+ *
+ * .google.cloud.automl.v1beta1.TextSegment text_segment = 1;
+ */
+ public boolean hasTextSegment() {
+ return textSegmentBuilder_ != null || textSegment_ != null;
+ }
+ /**
+ *
+ *
+ *
+ * Text Segment that represents a segment in
+ * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+ *
+ *
+ * .google.cloud.automl.v1beta1.TextSegment text_segment = 1;
+ */
+ public com.google.cloud.automl.v1beta1.TextSegment getTextSegment() {
+ if (textSegmentBuilder_ == null) {
+ return textSegment_ == null
+ ? com.google.cloud.automl.v1beta1.TextSegment.getDefaultInstance()
+ : textSegment_;
+ } else {
+ return textSegmentBuilder_.getMessage();
+ }
+ }
+ /**
+ *
+ *
+ *
+ * Text Segment that represents a segment in
+ * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+ *
+ *
+ * .google.cloud.automl.v1beta1.TextSegment text_segment = 1;
+ */
+ public Builder setTextSegment(com.google.cloud.automl.v1beta1.TextSegment value) {
+ if (textSegmentBuilder_ == null) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ textSegment_ = value;
+ onChanged();
+ } else {
+ textSegmentBuilder_.setMessage(value);
+ }
+
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Text Segment that represents a segment in
+ * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+ *
+ *
+ * .google.cloud.automl.v1beta1.TextSegment text_segment = 1;
+ */
+ public Builder setTextSegment(
+ com.google.cloud.automl.v1beta1.TextSegment.Builder builderForValue) {
+ if (textSegmentBuilder_ == null) {
+ textSegment_ = builderForValue.build();
+ onChanged();
+ } else {
+ textSegmentBuilder_.setMessage(builderForValue.build());
+ }
+
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Text Segment that represents a segment in
+ * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+ *
+ *
+ * .google.cloud.automl.v1beta1.TextSegment text_segment = 1;
+ */
+ public Builder mergeTextSegment(com.google.cloud.automl.v1beta1.TextSegment value) {
+ if (textSegmentBuilder_ == null) {
+ if (textSegment_ != null) {
+ textSegment_ =
+ com.google.cloud.automl.v1beta1.TextSegment.newBuilder(textSegment_)
+ .mergeFrom(value)
+ .buildPartial();
+ } else {
+ textSegment_ = value;
+ }
+ onChanged();
+ } else {
+ textSegmentBuilder_.mergeFrom(value);
+ }
+
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Text Segment that represents a segment in
+ * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+ *
+ *
+ * .google.cloud.automl.v1beta1.TextSegment text_segment = 1;
+ */
+ public Builder clearTextSegment() {
+ if (textSegmentBuilder_ == null) {
+ textSegment_ = null;
+ onChanged();
+ } else {
+ textSegment_ = null;
+ textSegmentBuilder_ = null;
+ }
+
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Text Segment that represents a segment in
+ * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+ *
+ *
+ * .google.cloud.automl.v1beta1.TextSegment text_segment = 1;
+ */
+ public com.google.cloud.automl.v1beta1.TextSegment.Builder getTextSegmentBuilder() {
+
+ onChanged();
+ return getTextSegmentFieldBuilder().getBuilder();
+ }
+ /**
+ *
+ *
+ *
+ * Text Segment that represents a segment in
+ * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+ *
+ *
+ * .google.cloud.automl.v1beta1.TextSegment text_segment = 1;
+ */
+ public com.google.cloud.automl.v1beta1.TextSegmentOrBuilder getTextSegmentOrBuilder() {
+ if (textSegmentBuilder_ != null) {
+ return textSegmentBuilder_.getMessageOrBuilder();
+ } else {
+ return textSegment_ == null
+ ? com.google.cloud.automl.v1beta1.TextSegment.getDefaultInstance()
+ : textSegment_;
+ }
+ }
+ /**
+ *
+ *
+ *
+ * Text Segment that represents a segment in
+ * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+ *
+ *
+ * .google.cloud.automl.v1beta1.TextSegment text_segment = 1;
+ */
+ private com.google.protobuf.SingleFieldBuilderV3<
+ com.google.cloud.automl.v1beta1.TextSegment,
+ com.google.cloud.automl.v1beta1.TextSegment.Builder,
+ com.google.cloud.automl.v1beta1.TextSegmentOrBuilder>
+ getTextSegmentFieldBuilder() {
+ if (textSegmentBuilder_ == null) {
+ textSegmentBuilder_ =
+ new com.google.protobuf.SingleFieldBuilderV3<
+ com.google.cloud.automl.v1beta1.TextSegment,
+ com.google.cloud.automl.v1beta1.TextSegment.Builder,
+ com.google.cloud.automl.v1beta1.TextSegmentOrBuilder>(
+ getTextSegment(), getParentForChildren(), isClean());
+ textSegment_ = null;
+ }
+ return textSegmentBuilder_;
+ }
+
+ private int pageNumber_;
+ /**
+ *
+ *
+ *
+ * Page number of the
+ * [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment]
+ * in the original document, starts from 1.
+ *
+ *
+ * int32 page_number = 2;
+ */
+ public int getPageNumber() {
+ return pageNumber_;
+ }
+ /**
+ *
+ *
+ *
+ * Page number of the
+ * [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment]
+ * in the original document, starts from 1.
+ *
+ *
+ * int32 page_number = 2;
+ */
+ public Builder setPageNumber(int value) {
+
+ pageNumber_ = value;
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Page number of the
+ * [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment]
+ * in the original document, starts from 1.
+ *
+ *
+ * int32 page_number = 2;
+ */
+ public Builder clearPageNumber() {
+
+ pageNumber_ = 0;
+ onChanged();
+ return this;
+ }
+
+ private com.google.cloud.automl.v1beta1.BoundingPoly boundingPoly_;
+ private com.google.protobuf.SingleFieldBuilderV3<
+ com.google.cloud.automl.v1beta1.BoundingPoly,
+ com.google.cloud.automl.v1beta1.BoundingPoly.Builder,
+ com.google.cloud.automl.v1beta1.BoundingPolyOrBuilder>
+ boundingPolyBuilder_;
+ /**
+ *
+ *
+ *
+ * The position of the
+ * [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment]
+ * in the page. Contains exactly 4
+ * [normalized_vertices][google.cloud.automl.v1beta1.BoundingPoly.normalized_vertices]
+ * and they are connected by edges in the order provided, which will
+ * represent a rectangle parallel to the frame. The
+ * [NormalizedVertex-s][google.cloud.automl.v1beta1.NormalizedVertex] are
+ * relative to the page.
+ * Coordinates are based on top-left as point (0,0).
+ *
+ *
+ * .google.cloud.automl.v1beta1.BoundingPoly bounding_poly = 3;
+ */
+ public boolean hasBoundingPoly() {
+ return boundingPolyBuilder_ != null || boundingPoly_ != null;
+ }
+ /**
+ *
+ *
+ *
+ * The position of the
+ * [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment]
+ * in the page. Contains exactly 4
+ * [normalized_vertices][google.cloud.automl.v1beta1.BoundingPoly.normalized_vertices]
+ * and they are connected by edges in the order provided, which will
+ * represent a rectangle parallel to the frame. The
+ * [NormalizedVertex-s][google.cloud.automl.v1beta1.NormalizedVertex] are
+ * relative to the page.
+ * Coordinates are based on top-left as point (0,0).
+ *
+ *
+ * .google.cloud.automl.v1beta1.BoundingPoly bounding_poly = 3;
+ */
+ public com.google.cloud.automl.v1beta1.BoundingPoly getBoundingPoly() {
+ if (boundingPolyBuilder_ == null) {
+ return boundingPoly_ == null
+ ? com.google.cloud.automl.v1beta1.BoundingPoly.getDefaultInstance()
+ : boundingPoly_;
+ } else {
+ return boundingPolyBuilder_.getMessage();
+ }
+ }
+ /**
+ *
+ *
+ *
+ * The position of the
+ * [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment]
+ * in the page. Contains exactly 4
+ * [normalized_vertices][google.cloud.automl.v1beta1.BoundingPoly.normalized_vertices]
+ * and they are connected by edges in the order provided, which will
+ * represent a rectangle parallel to the frame. The
+ * [NormalizedVertex-s][google.cloud.automl.v1beta1.NormalizedVertex] are
+ * relative to the page.
+ * Coordinates are based on top-left as point (0,0).
+ *
+ *
+ * .google.cloud.automl.v1beta1.BoundingPoly bounding_poly = 3;
+ */
+ public Builder setBoundingPoly(com.google.cloud.automl.v1beta1.BoundingPoly value) {
+ if (boundingPolyBuilder_ == null) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ boundingPoly_ = value;
+ onChanged();
+ } else {
+ boundingPolyBuilder_.setMessage(value);
+ }
+
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * The position of the
+ * [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment]
+ * in the page. Contains exactly 4
+ * [normalized_vertices][google.cloud.automl.v1beta1.BoundingPoly.normalized_vertices]
+ * and they are connected by edges in the order provided, which will
+ * represent a rectangle parallel to the frame. The
+ * [NormalizedVertex-s][google.cloud.automl.v1beta1.NormalizedVertex] are
+ * relative to the page.
+ * Coordinates are based on top-left as point (0,0).
+ *
+ *
+ * .google.cloud.automl.v1beta1.BoundingPoly bounding_poly = 3;
+ */
+ public Builder setBoundingPoly(
+ com.google.cloud.automl.v1beta1.BoundingPoly.Builder builderForValue) {
+ if (boundingPolyBuilder_ == null) {
+ boundingPoly_ = builderForValue.build();
+ onChanged();
+ } else {
+ boundingPolyBuilder_.setMessage(builderForValue.build());
+ }
+
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * The position of the
+ * [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment]
+ * in the page. Contains exactly 4
+ * [normalized_vertices][google.cloud.automl.v1beta1.BoundingPoly.normalized_vertices]
+ * and they are connected by edges in the order provided, which will
+ * represent a rectangle parallel to the frame. The
+ * [NormalizedVertex-s][google.cloud.automl.v1beta1.NormalizedVertex] are
+ * relative to the page.
+ * Coordinates are based on top-left as point (0,0).
+ *
+ *
+ * .google.cloud.automl.v1beta1.BoundingPoly bounding_poly = 3;
+ */
+ public Builder mergeBoundingPoly(com.google.cloud.automl.v1beta1.BoundingPoly value) {
+ if (boundingPolyBuilder_ == null) {
+ if (boundingPoly_ != null) {
+ boundingPoly_ =
+ com.google.cloud.automl.v1beta1.BoundingPoly.newBuilder(boundingPoly_)
+ .mergeFrom(value)
+ .buildPartial();
+ } else {
+ boundingPoly_ = value;
+ }
+ onChanged();
+ } else {
+ boundingPolyBuilder_.mergeFrom(value);
+ }
+
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * The position of the
+ * [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment]
+ * in the page. Contains exactly 4
+ * [normalized_vertices][google.cloud.automl.v1beta1.BoundingPoly.normalized_vertices]
+ * and they are connected by edges in the order provided, which will
+ * represent a rectangle parallel to the frame. The
+ * [NormalizedVertex-s][google.cloud.automl.v1beta1.NormalizedVertex] are
+ * relative to the page.
+ * Coordinates are based on top-left as point (0,0).
+ *
+ *
+ * .google.cloud.automl.v1beta1.BoundingPoly bounding_poly = 3;
+ */
+ public Builder clearBoundingPoly() {
+ if (boundingPolyBuilder_ == null) {
+ boundingPoly_ = null;
+ onChanged();
+ } else {
+ boundingPoly_ = null;
+ boundingPolyBuilder_ = null;
+ }
+
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * The position of the
+ * [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment]
+ * in the page. Contains exactly 4
+ * [normalized_vertices][google.cloud.automl.v1beta1.BoundingPoly.normalized_vertices]
+ * and they are connected by edges in the order provided, which will
+ * represent a rectangle parallel to the frame. The
+ * [NormalizedVertex-s][google.cloud.automl.v1beta1.NormalizedVertex] are
+ * relative to the page.
+ * Coordinates are based on top-left as point (0,0).
+ *
+ *
+ * .google.cloud.automl.v1beta1.BoundingPoly bounding_poly = 3;
+ */
+ public com.google.cloud.automl.v1beta1.BoundingPoly.Builder getBoundingPolyBuilder() {
+
+ onChanged();
+ return getBoundingPolyFieldBuilder().getBuilder();
+ }
+ /**
+ *
+ *
+ *
+ * The position of the
+ * [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment]
+ * in the page. Contains exactly 4
+ * [normalized_vertices][google.cloud.automl.v1beta1.BoundingPoly.normalized_vertices]
+ * and they are connected by edges in the order provided, which will
+ * represent a rectangle parallel to the frame. The
+ * [NormalizedVertex-s][google.cloud.automl.v1beta1.NormalizedVertex] are
+ * relative to the page.
+ * Coordinates are based on top-left as point (0,0).
+ *
+ *
+ * .google.cloud.automl.v1beta1.BoundingPoly bounding_poly = 3;
+ */
+ public com.google.cloud.automl.v1beta1.BoundingPolyOrBuilder getBoundingPolyOrBuilder() {
+ if (boundingPolyBuilder_ != null) {
+ return boundingPolyBuilder_.getMessageOrBuilder();
+ } else {
+ return boundingPoly_ == null
+ ? com.google.cloud.automl.v1beta1.BoundingPoly.getDefaultInstance()
+ : boundingPoly_;
+ }
+ }
+ /**
+ *
+ *
+ *
+ * The position of the
+ * [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment]
+ * in the page. Contains exactly 4
+ * [normalized_vertices][google.cloud.automl.v1beta1.BoundingPoly.normalized_vertices]
+ * and they are connected by edges in the order provided, which will
+ * represent a rectangle parallel to the frame. The
+ * [NormalizedVertex-s][google.cloud.automl.v1beta1.NormalizedVertex] are
+ * relative to the page.
+ * Coordinates are based on top-left as point (0,0).
+ *
+ *
+ * .google.cloud.automl.v1beta1.BoundingPoly bounding_poly = 3;
+ */
+ private com.google.protobuf.SingleFieldBuilderV3<
+ com.google.cloud.automl.v1beta1.BoundingPoly,
+ com.google.cloud.automl.v1beta1.BoundingPoly.Builder,
+ com.google.cloud.automl.v1beta1.BoundingPolyOrBuilder>
+ getBoundingPolyFieldBuilder() {
+ if (boundingPolyBuilder_ == null) {
+ boundingPolyBuilder_ =
+ new com.google.protobuf.SingleFieldBuilderV3<
+ com.google.cloud.automl.v1beta1.BoundingPoly,
+ com.google.cloud.automl.v1beta1.BoundingPoly.Builder,
+ com.google.cloud.automl.v1beta1.BoundingPolyOrBuilder>(
+ getBoundingPoly(), getParentForChildren(), isClean());
+ boundingPoly_ = null;
+ }
+ return boundingPolyBuilder_;
+ }
+
+ private int textSegmentType_ = 0;
+ /**
+ *
+ *
+ *
+ * The type of the
+ * [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment]
+ * in document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.Document.Layout.TextSegmentType text_segment_type = 4;
+ *
+ */
+ public int getTextSegmentTypeValue() {
+ return textSegmentType_;
+ }
+ /**
+ *
+ *
+ *
+ * The type of the
+ * [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment]
+ * in document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.Document.Layout.TextSegmentType text_segment_type = 4;
+ *
+ */
+ public Builder setTextSegmentTypeValue(int value) {
+ textSegmentType_ = value;
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * The type of the
+ * [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment]
+ * in document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.Document.Layout.TextSegmentType text_segment_type = 4;
+ *
+ */
+ public com.google.cloud.automl.v1beta1.Document.Layout.TextSegmentType getTextSegmentType() {
+ @SuppressWarnings("deprecation")
+ com.google.cloud.automl.v1beta1.Document.Layout.TextSegmentType result =
+ com.google.cloud.automl.v1beta1.Document.Layout.TextSegmentType.valueOf(
+ textSegmentType_);
+ return result == null
+ ? com.google.cloud.automl.v1beta1.Document.Layout.TextSegmentType.UNRECOGNIZED
+ : result;
+ }
+ /**
+ *
+ *
+ *
+ * The type of the
+ * [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment]
+ * in document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.Document.Layout.TextSegmentType text_segment_type = 4;
+ *
+ */
+ public Builder setTextSegmentType(
+ com.google.cloud.automl.v1beta1.Document.Layout.TextSegmentType value) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+
+ textSegmentType_ = value.getNumber();
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * The type of the
+ * [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment]
+ * in document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.Document.Layout.TextSegmentType text_segment_type = 4;
+ *
+ */
+ public Builder clearTextSegmentType() {
+
+ textSegmentType_ = 0;
+ onChanged();
+ return this;
+ }
+
+ @java.lang.Override
+ public final Builder setUnknownFields(
+ final com.google.protobuf.UnknownFieldSet unknownFields) {
+ return super.setUnknownFields(unknownFields);
+ }
+
+ @java.lang.Override
+ public final Builder mergeUnknownFields(
+ final com.google.protobuf.UnknownFieldSet unknownFields) {
+ return super.mergeUnknownFields(unknownFields);
+ }
+
+ // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.Document.Layout)
+ }
+
+ // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.Document.Layout)
+ private static final com.google.cloud.automl.v1beta1.Document.Layout DEFAULT_INSTANCE;
+
+ static {
+ DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.Document.Layout();
+ }
+
+ public static com.google.cloud.automl.v1beta1.Document.Layout getDefaultInstance() {
+ return DEFAULT_INSTANCE;
+ }
+
+ private static final com.google.protobuf.Parser PARSER =
+ new com.google.protobuf.AbstractParser() {
+ @java.lang.Override
+ public Layout parsePartialFrom(
+ com.google.protobuf.CodedInputStream input,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return new Layout(input, extensionRegistry);
+ }
+ };
+
+ public static com.google.protobuf.Parser parser() {
+ return PARSER;
+ }
+
+ @java.lang.Override
+ public com.google.protobuf.Parser getParserForType() {
+ return PARSER;
+ }
+
+ @java.lang.Override
+ public com.google.cloud.automl.v1beta1.Document.Layout getDefaultInstanceForType() {
+ return DEFAULT_INSTANCE;
+ }
+ }
+
+ private int bitField0_;
+ public static final int INPUT_CONFIG_FIELD_NUMBER = 1;
+ private com.google.cloud.automl.v1beta1.DocumentInputConfig inputConfig_;
+ /**
+ *
+ *
+ *
+ * An input config specifying the content of the document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1;
+ */
+ public boolean hasInputConfig() {
+ return inputConfig_ != null;
+ }
+ /**
+ *
+ *
+ *
+ * An input config specifying the content of the document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1;
+ */
+ public com.google.cloud.automl.v1beta1.DocumentInputConfig getInputConfig() {
+ return inputConfig_ == null
+ ? com.google.cloud.automl.v1beta1.DocumentInputConfig.getDefaultInstance()
+ : inputConfig_;
+ }
+ /**
+ *
+ *
+ *
+ * An input config specifying the content of the document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1;
+ */
+ public com.google.cloud.automl.v1beta1.DocumentInputConfigOrBuilder getInputConfigOrBuilder() {
+ return getInputConfig();
+ }
+
+ public static final int DOCUMENT_TEXT_FIELD_NUMBER = 2;
+ private com.google.cloud.automl.v1beta1.TextSnippet documentText_;
+ /**
+ *
+ *
+ *
+ * The plain text version of this document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.TextSnippet document_text = 2;
+ */
+ public boolean hasDocumentText() {
+ return documentText_ != null;
+ }
+ /**
+ *
+ *
+ *
+ * The plain text version of this document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.TextSnippet document_text = 2;
+ */
+ public com.google.cloud.automl.v1beta1.TextSnippet getDocumentText() {
+ return documentText_ == null
+ ? com.google.cloud.automl.v1beta1.TextSnippet.getDefaultInstance()
+ : documentText_;
+ }
+ /**
+ *
+ *
+ *
+ * The plain text version of this document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.TextSnippet document_text = 2;
+ */
+ public com.google.cloud.automl.v1beta1.TextSnippetOrBuilder getDocumentTextOrBuilder() {
+ return getDocumentText();
+ }
+
+ public static final int LAYOUT_FIELD_NUMBER = 3;
+ private java.util.List layout_;
+ /**
+ *
+ *
+ *
+ * Describes the layout of the document.
+ * Sorted by [page_number][].
+ *
+ *
+ * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3;
+ */
+ public java.util.List getLayoutList() {
+ return layout_;
+ }
+ /**
+ *
+ *
+ *
+ * Describes the layout of the document.
+ * Sorted by [page_number][].
+ *
+ *
+ * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3;
+ */
+ public java.util.List extends com.google.cloud.automl.v1beta1.Document.LayoutOrBuilder>
+ getLayoutOrBuilderList() {
+ return layout_;
+ }
+ /**
+ *
+ *
+ *
+ * Describes the layout of the document.
+ * Sorted by [page_number][].
+ *
+ *
+ * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3;
+ */
+ public int getLayoutCount() {
+ return layout_.size();
+ }
+ /**
+ *
+ *
+ *
+ * Describes the layout of the document.
+ * Sorted by [page_number][].
+ *
+ *
+ * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3;
+ */
+ public com.google.cloud.automl.v1beta1.Document.Layout getLayout(int index) {
+ return layout_.get(index);
+ }
+ /**
+ *
+ *
+ *
+ * Describes the layout of the document.
+ * Sorted by [page_number][].
+ *
+ *
+ * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3;
+ */
+ public com.google.cloud.automl.v1beta1.Document.LayoutOrBuilder getLayoutOrBuilder(int index) {
+ return layout_.get(index);
+ }
+
+ public static final int DOCUMENT_DIMENSIONS_FIELD_NUMBER = 4;
+ private com.google.cloud.automl.v1beta1.DocumentDimensions documentDimensions_;
+ /**
+ *
+ *
+ *
+ * The dimensions of the page in the document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.DocumentDimensions document_dimensions = 4;
+ */
+ public boolean hasDocumentDimensions() {
+ return documentDimensions_ != null;
+ }
+ /**
+ *
+ *
+ *
+ * The dimensions of the page in the document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.DocumentDimensions document_dimensions = 4;
+ */
+ public com.google.cloud.automl.v1beta1.DocumentDimensions getDocumentDimensions() {
+ return documentDimensions_ == null
+ ? com.google.cloud.automl.v1beta1.DocumentDimensions.getDefaultInstance()
+ : documentDimensions_;
+ }
+ /**
+ *
+ *
+ *
+ * The dimensions of the page in the document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.DocumentDimensions document_dimensions = 4;
+ */
+ public com.google.cloud.automl.v1beta1.DocumentDimensionsOrBuilder
+ getDocumentDimensionsOrBuilder() {
+ return getDocumentDimensions();
+ }
+
+ public static final int PAGE_COUNT_FIELD_NUMBER = 5;
+ private int pageCount_;
+ /**
+ *
+ *
+ *
+ * Number of pages in the document.
+ *
+ *
+ * int32 page_count = 5;
+ */
+ public int getPageCount() {
+ return pageCount_;
+ }
+
+ private byte memoizedIsInitialized = -1;
+
+ @java.lang.Override
+ public final boolean isInitialized() {
+ byte isInitialized = memoizedIsInitialized;
+ if (isInitialized == 1) return true;
+ if (isInitialized == 0) return false;
+
+ memoizedIsInitialized = 1;
+ return true;
+ }
+
+ @java.lang.Override
+ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+ if (inputConfig_ != null) {
+ output.writeMessage(1, getInputConfig());
+ }
+ if (documentText_ != null) {
+ output.writeMessage(2, getDocumentText());
+ }
+ for (int i = 0; i < layout_.size(); i++) {
+ output.writeMessage(3, layout_.get(i));
+ }
+ if (documentDimensions_ != null) {
+ output.writeMessage(4, getDocumentDimensions());
+ }
+ if (pageCount_ != 0) {
+ output.writeInt32(5, pageCount_);
+ }
+ unknownFields.writeTo(output);
+ }
+
+ @java.lang.Override
+ public int getSerializedSize() {
+ int size = memoizedSize;
+ if (size != -1) return size;
+
+ size = 0;
+ if (inputConfig_ != null) {
+ size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getInputConfig());
+ }
+ if (documentText_ != null) {
+ size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getDocumentText());
+ }
+ for (int i = 0; i < layout_.size(); i++) {
+ size += com.google.protobuf.CodedOutputStream.computeMessageSize(3, layout_.get(i));
+ }
+ if (documentDimensions_ != null) {
+ size += com.google.protobuf.CodedOutputStream.computeMessageSize(4, getDocumentDimensions());
+ }
+ if (pageCount_ != 0) {
+ size += com.google.protobuf.CodedOutputStream.computeInt32Size(5, pageCount_);
+ }
+ size += unknownFields.getSerializedSize();
+ memoizedSize = size;
+ return size;
+ }
+
+ @java.lang.Override
+ public boolean equals(final java.lang.Object obj) {
+ if (obj == this) {
+ return true;
+ }
+ if (!(obj instanceof com.google.cloud.automl.v1beta1.Document)) {
+ return super.equals(obj);
+ }
+ com.google.cloud.automl.v1beta1.Document other = (com.google.cloud.automl.v1beta1.Document) obj;
+
+ if (hasInputConfig() != other.hasInputConfig()) return false;
+ if (hasInputConfig()) {
+ if (!getInputConfig().equals(other.getInputConfig())) return false;
+ }
+ if (hasDocumentText() != other.hasDocumentText()) return false;
+ if (hasDocumentText()) {
+ if (!getDocumentText().equals(other.getDocumentText())) return false;
+ }
+ if (!getLayoutList().equals(other.getLayoutList())) return false;
+ if (hasDocumentDimensions() != other.hasDocumentDimensions()) return false;
+ if (hasDocumentDimensions()) {
+ if (!getDocumentDimensions().equals(other.getDocumentDimensions())) return false;
+ }
+ if (getPageCount() != other.getPageCount()) return false;
+ if (!unknownFields.equals(other.unknownFields)) return false;
+ return true;
+ }
+
+ @java.lang.Override
+ public int hashCode() {
+ if (memoizedHashCode != 0) {
+ return memoizedHashCode;
+ }
+ int hash = 41;
+ hash = (19 * hash) + getDescriptor().hashCode();
+ if (hasInputConfig()) {
+ hash = (37 * hash) + INPUT_CONFIG_FIELD_NUMBER;
+ hash = (53 * hash) + getInputConfig().hashCode();
+ }
+ if (hasDocumentText()) {
+ hash = (37 * hash) + DOCUMENT_TEXT_FIELD_NUMBER;
+ hash = (53 * hash) + getDocumentText().hashCode();
+ }
+ if (getLayoutCount() > 0) {
+ hash = (37 * hash) + LAYOUT_FIELD_NUMBER;
+ hash = (53 * hash) + getLayoutList().hashCode();
+ }
+ if (hasDocumentDimensions()) {
+ hash = (37 * hash) + DOCUMENT_DIMENSIONS_FIELD_NUMBER;
+ hash = (53 * hash) + getDocumentDimensions().hashCode();
+ }
+ hash = (37 * hash) + PAGE_COUNT_FIELD_NUMBER;
+ hash = (53 * hash) + getPageCount();
+ hash = (29 * hash) + unknownFields.hashCode();
+ memoizedHashCode = hash;
+ return hash;
+ }
+
+ public static com.google.cloud.automl.v1beta1.Document parseFrom(java.nio.ByteBuffer data)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.automl.v1beta1.Document parseFrom(
+ java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.automl.v1beta1.Document parseFrom(
+ com.google.protobuf.ByteString data)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.automl.v1beta1.Document parseFrom(
+ com.google.protobuf.ByteString data,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.automl.v1beta1.Document parseFrom(byte[] data)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.automl.v1beta1.Document parseFrom(
+ byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.automl.v1beta1.Document parseFrom(java.io.InputStream input)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.automl.v1beta1.Document parseFrom(
+ java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+ PARSER, input, extensionRegistry);
+ }
+
+ public static com.google.cloud.automl.v1beta1.Document parseDelimitedFrom(
+ java.io.InputStream input) throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.automl.v1beta1.Document parseDelimitedFrom(
+ java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+ PARSER, input, extensionRegistry);
+ }
+
+ public static com.google.cloud.automl.v1beta1.Document parseFrom(
+ com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.automl.v1beta1.Document parseFrom(
+ com.google.protobuf.CodedInputStream input,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+ PARSER, input, extensionRegistry);
+ }
+
+ @java.lang.Override
+ public Builder newBuilderForType() {
+ return newBuilder();
+ }
+
+ public static Builder newBuilder() {
+ return DEFAULT_INSTANCE.toBuilder();
+ }
+
+ public static Builder newBuilder(com.google.cloud.automl.v1beta1.Document prototype) {
+ return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+ }
+
+ @java.lang.Override
+ public Builder toBuilder() {
+ return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+ }
+
+ @java.lang.Override
+ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+ Builder builder = new Builder(parent);
+ return builder;
+ }
+ /**
+ *
+ *
+ *
+ * A structured text document e.g. a PDF.
+ *
+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.Document}
+ */
+ public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+ implements
+ // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.Document)
+ com.google.cloud.automl.v1beta1.DocumentOrBuilder {
+ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+ return com.google.cloud.automl.v1beta1.DataItems
+ .internal_static_google_cloud_automl_v1beta1_Document_descriptor;
+ }
+
+ @java.lang.Override
+ protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+ internalGetFieldAccessorTable() {
+ return com.google.cloud.automl.v1beta1.DataItems
+ .internal_static_google_cloud_automl_v1beta1_Document_fieldAccessorTable
+ .ensureFieldAccessorsInitialized(
+ com.google.cloud.automl.v1beta1.Document.class,
+ com.google.cloud.automl.v1beta1.Document.Builder.class);
+ }
+
+ // Construct using com.google.cloud.automl.v1beta1.Document.newBuilder()
+ private Builder() {
+ maybeForceBuilderInitialization();
+ }
+
+ private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+ super(parent);
+ maybeForceBuilderInitialization();
+ }
+
+ private void maybeForceBuilderInitialization() {
+ if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
+ getLayoutFieldBuilder();
+ }
+ }
+
+ @java.lang.Override
+ public Builder clear() {
+ super.clear();
+ if (inputConfigBuilder_ == null) {
+ inputConfig_ = null;
+ } else {
+ inputConfig_ = null;
+ inputConfigBuilder_ = null;
+ }
+ if (documentTextBuilder_ == null) {
+ documentText_ = null;
+ } else {
+ documentText_ = null;
+ documentTextBuilder_ = null;
+ }
+ if (layoutBuilder_ == null) {
+ layout_ = java.util.Collections.emptyList();
+ bitField0_ = (bitField0_ & ~0x00000004);
+ } else {
+ layoutBuilder_.clear();
+ }
+ if (documentDimensionsBuilder_ == null) {
+ documentDimensions_ = null;
+ } else {
+ documentDimensions_ = null;
+ documentDimensionsBuilder_ = null;
+ }
+ pageCount_ = 0;
+
+ return this;
+ }
+
+ @java.lang.Override
+ public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+ return com.google.cloud.automl.v1beta1.DataItems
+ .internal_static_google_cloud_automl_v1beta1_Document_descriptor;
+ }
+
+ @java.lang.Override
+ public com.google.cloud.automl.v1beta1.Document getDefaultInstanceForType() {
+ return com.google.cloud.automl.v1beta1.Document.getDefaultInstance();
+ }
+
+ @java.lang.Override
+ public com.google.cloud.automl.v1beta1.Document build() {
+ com.google.cloud.automl.v1beta1.Document result = buildPartial();
+ if (!result.isInitialized()) {
+ throw newUninitializedMessageException(result);
+ }
+ return result;
+ }
+
+ @java.lang.Override
+ public com.google.cloud.automl.v1beta1.Document buildPartial() {
+ com.google.cloud.automl.v1beta1.Document result =
+ new com.google.cloud.automl.v1beta1.Document(this);
+ int from_bitField0_ = bitField0_;
+ int to_bitField0_ = 0;
+ if (inputConfigBuilder_ == null) {
+ result.inputConfig_ = inputConfig_;
+ } else {
+ result.inputConfig_ = inputConfigBuilder_.build();
+ }
+ if (documentTextBuilder_ == null) {
+ result.documentText_ = documentText_;
+ } else {
+ result.documentText_ = documentTextBuilder_.build();
+ }
+ if (layoutBuilder_ == null) {
+ if (((bitField0_ & 0x00000004) != 0)) {
+ layout_ = java.util.Collections.unmodifiableList(layout_);
+ bitField0_ = (bitField0_ & ~0x00000004);
+ }
+ result.layout_ = layout_;
+ } else {
+ result.layout_ = layoutBuilder_.build();
+ }
+ if (documentDimensionsBuilder_ == null) {
+ result.documentDimensions_ = documentDimensions_;
+ } else {
+ result.documentDimensions_ = documentDimensionsBuilder_.build();
+ }
+ result.pageCount_ = pageCount_;
+ result.bitField0_ = to_bitField0_;
+ onBuilt();
+ return result;
+ }
+
+ @java.lang.Override
+ public Builder clone() {
+ return super.clone();
+ }
+
+ @java.lang.Override
+ public Builder setField(
+ com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+ return super.setField(field, value);
+ }
+
+ @java.lang.Override
+ public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+ return super.clearField(field);
+ }
+
+ @java.lang.Override
+ public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+ return super.clearOneof(oneof);
+ }
+
+ @java.lang.Override
+ public Builder setRepeatedField(
+ com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+ return super.setRepeatedField(field, index, value);
+ }
+
+ @java.lang.Override
+ public Builder addRepeatedField(
+ com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+ return super.addRepeatedField(field, value);
+ }
+
+ @java.lang.Override
+ public Builder mergeFrom(com.google.protobuf.Message other) {
+ if (other instanceof com.google.cloud.automl.v1beta1.Document) {
+ return mergeFrom((com.google.cloud.automl.v1beta1.Document) other);
+ } else {
+ super.mergeFrom(other);
+ return this;
+ }
+ }
+
+ public Builder mergeFrom(com.google.cloud.automl.v1beta1.Document other) {
+ if (other == com.google.cloud.automl.v1beta1.Document.getDefaultInstance()) return this;
+ if (other.hasInputConfig()) {
+ mergeInputConfig(other.getInputConfig());
+ }
+ if (other.hasDocumentText()) {
+ mergeDocumentText(other.getDocumentText());
+ }
+ if (layoutBuilder_ == null) {
+ if (!other.layout_.isEmpty()) {
+ if (layout_.isEmpty()) {
+ layout_ = other.layout_;
+ bitField0_ = (bitField0_ & ~0x00000004);
+ } else {
+ ensureLayoutIsMutable();
+ layout_.addAll(other.layout_);
+ }
+ onChanged();
+ }
+ } else {
+ if (!other.layout_.isEmpty()) {
+ if (layoutBuilder_.isEmpty()) {
+ layoutBuilder_.dispose();
+ layoutBuilder_ = null;
+ layout_ = other.layout_;
+ bitField0_ = (bitField0_ & ~0x00000004);
+ layoutBuilder_ =
+ com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+ ? getLayoutFieldBuilder()
+ : null;
+ } else {
+ layoutBuilder_.addAllMessages(other.layout_);
+ }
+ }
+ }
+ if (other.hasDocumentDimensions()) {
+ mergeDocumentDimensions(other.getDocumentDimensions());
+ }
+ if (other.getPageCount() != 0) {
+ setPageCount(other.getPageCount());
+ }
+ this.mergeUnknownFields(other.unknownFields);
+ onChanged();
+ return this;
+ }
+
+ @java.lang.Override
+ public final boolean isInitialized() {
+ return true;
+ }
+
+ @java.lang.Override
+ public Builder mergeFrom(
+ com.google.protobuf.CodedInputStream input,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ com.google.cloud.automl.v1beta1.Document parsedMessage = null;
+ try {
+ parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+ } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+ parsedMessage = (com.google.cloud.automl.v1beta1.Document) e.getUnfinishedMessage();
+ throw e.unwrapIOException();
+ } finally {
+ if (parsedMessage != null) {
+ mergeFrom(parsedMessage);
+ }
+ }
+ return this;
+ }
+
+ private int bitField0_;
+
+ private com.google.cloud.automl.v1beta1.DocumentInputConfig inputConfig_;
+ private com.google.protobuf.SingleFieldBuilderV3<
+ com.google.cloud.automl.v1beta1.DocumentInputConfig,
+ com.google.cloud.automl.v1beta1.DocumentInputConfig.Builder,
+ com.google.cloud.automl.v1beta1.DocumentInputConfigOrBuilder>
+ inputConfigBuilder_;
+ /**
+ *
+ *
+ *
+ * An input config specifying the content of the document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1;
+ */
+ public boolean hasInputConfig() {
+ return inputConfigBuilder_ != null || inputConfig_ != null;
+ }
+ /**
+ *
+ *
+ *
+ * An input config specifying the content of the document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1;
+ */
+ public com.google.cloud.automl.v1beta1.DocumentInputConfig getInputConfig() {
+ if (inputConfigBuilder_ == null) {
+ return inputConfig_ == null
+ ? com.google.cloud.automl.v1beta1.DocumentInputConfig.getDefaultInstance()
+ : inputConfig_;
+ } else {
+ return inputConfigBuilder_.getMessage();
+ }
+ }
+ /**
+ *
+ *
+ *
+ * An input config specifying the content of the document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1;
+ */
+ public Builder setInputConfig(com.google.cloud.automl.v1beta1.DocumentInputConfig value) {
+ if (inputConfigBuilder_ == null) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ inputConfig_ = value;
+ onChanged();
+ } else {
+ inputConfigBuilder_.setMessage(value);
+ }
+
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * An input config specifying the content of the document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1;
+ */
+ public Builder setInputConfig(
+ com.google.cloud.automl.v1beta1.DocumentInputConfig.Builder builderForValue) {
+ if (inputConfigBuilder_ == null) {
+ inputConfig_ = builderForValue.build();
+ onChanged();
+ } else {
+ inputConfigBuilder_.setMessage(builderForValue.build());
+ }
+
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * An input config specifying the content of the document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1;
+ */
+ public Builder mergeInputConfig(com.google.cloud.automl.v1beta1.DocumentInputConfig value) {
+ if (inputConfigBuilder_ == null) {
+ if (inputConfig_ != null) {
+ inputConfig_ =
+ com.google.cloud.automl.v1beta1.DocumentInputConfig.newBuilder(inputConfig_)
+ .mergeFrom(value)
+ .buildPartial();
+ } else {
+ inputConfig_ = value;
+ }
+ onChanged();
+ } else {
+ inputConfigBuilder_.mergeFrom(value);
+ }
+
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * An input config specifying the content of the document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1;
+ */
+ public Builder clearInputConfig() {
+ if (inputConfigBuilder_ == null) {
+ inputConfig_ = null;
+ onChanged();
+ } else {
+ inputConfig_ = null;
+ inputConfigBuilder_ = null;
+ }
+
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * An input config specifying the content of the document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1;
+ */
+ public com.google.cloud.automl.v1beta1.DocumentInputConfig.Builder getInputConfigBuilder() {
+
+ onChanged();
+ return getInputConfigFieldBuilder().getBuilder();
+ }
+ /**
+ *
+ *
+ *
+ * An input config specifying the content of the document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1;
+ */
+ public com.google.cloud.automl.v1beta1.DocumentInputConfigOrBuilder getInputConfigOrBuilder() {
+ if (inputConfigBuilder_ != null) {
+ return inputConfigBuilder_.getMessageOrBuilder();
+ } else {
+ return inputConfig_ == null
+ ? com.google.cloud.automl.v1beta1.DocumentInputConfig.getDefaultInstance()
+ : inputConfig_;
+ }
+ }
+ /**
+ *
+ *
+ *
+ * An input config specifying the content of the document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1;
+ */
+ private com.google.protobuf.SingleFieldBuilderV3<
+ com.google.cloud.automl.v1beta1.DocumentInputConfig,
+ com.google.cloud.automl.v1beta1.DocumentInputConfig.Builder,
+ com.google.cloud.automl.v1beta1.DocumentInputConfigOrBuilder>
+ getInputConfigFieldBuilder() {
+ if (inputConfigBuilder_ == null) {
+ inputConfigBuilder_ =
+ new com.google.protobuf.SingleFieldBuilderV3<
+ com.google.cloud.automl.v1beta1.DocumentInputConfig,
+ com.google.cloud.automl.v1beta1.DocumentInputConfig.Builder,
+ com.google.cloud.automl.v1beta1.DocumentInputConfigOrBuilder>(
+ getInputConfig(), getParentForChildren(), isClean());
+ inputConfig_ = null;
+ }
+ return inputConfigBuilder_;
+ }
+
+ private com.google.cloud.automl.v1beta1.TextSnippet documentText_;
+ private com.google.protobuf.SingleFieldBuilderV3<
+ com.google.cloud.automl.v1beta1.TextSnippet,
+ com.google.cloud.automl.v1beta1.TextSnippet.Builder,
+ com.google.cloud.automl.v1beta1.TextSnippetOrBuilder>
+ documentTextBuilder_;
+ /**
+ *
+ *
+ *
+ * The plain text version of this document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.TextSnippet document_text = 2;
+ */
+ public boolean hasDocumentText() {
+ return documentTextBuilder_ != null || documentText_ != null;
+ }
+ /**
+ *
+ *
+ *
+ * The plain text version of this document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.TextSnippet document_text = 2;
+ */
+ public com.google.cloud.automl.v1beta1.TextSnippet getDocumentText() {
+ if (documentTextBuilder_ == null) {
+ return documentText_ == null
+ ? com.google.cloud.automl.v1beta1.TextSnippet.getDefaultInstance()
+ : documentText_;
+ } else {
+ return documentTextBuilder_.getMessage();
+ }
+ }
+ /**
+ *
+ *
+ *
+ * The plain text version of this document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.TextSnippet document_text = 2;
+ */
+ public Builder setDocumentText(com.google.cloud.automl.v1beta1.TextSnippet value) {
+ if (documentTextBuilder_ == null) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ documentText_ = value;
+ onChanged();
+ } else {
+ documentTextBuilder_.setMessage(value);
+ }
+
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * The plain text version of this document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.TextSnippet document_text = 2;
+ */
+ public Builder setDocumentText(
+ com.google.cloud.automl.v1beta1.TextSnippet.Builder builderForValue) {
+ if (documentTextBuilder_ == null) {
+ documentText_ = builderForValue.build();
+ onChanged();
+ } else {
+ documentTextBuilder_.setMessage(builderForValue.build());
+ }
+
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * The plain text version of this document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.TextSnippet document_text = 2;
+ */
+ public Builder mergeDocumentText(com.google.cloud.automl.v1beta1.TextSnippet value) {
+ if (documentTextBuilder_ == null) {
+ if (documentText_ != null) {
+ documentText_ =
+ com.google.cloud.automl.v1beta1.TextSnippet.newBuilder(documentText_)
+ .mergeFrom(value)
+ .buildPartial();
+ } else {
+ documentText_ = value;
+ }
+ onChanged();
+ } else {
+ documentTextBuilder_.mergeFrom(value);
+ }
+
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * The plain text version of this document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.TextSnippet document_text = 2;
+ */
+ public Builder clearDocumentText() {
+ if (documentTextBuilder_ == null) {
+ documentText_ = null;
+ onChanged();
+ } else {
+ documentText_ = null;
+ documentTextBuilder_ = null;
+ }
+
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * The plain text version of this document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.TextSnippet document_text = 2;
+ */
+ public com.google.cloud.automl.v1beta1.TextSnippet.Builder getDocumentTextBuilder() {
+
+ onChanged();
+ return getDocumentTextFieldBuilder().getBuilder();
+ }
+ /**
+ *
+ *
+ *
+ * The plain text version of this document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.TextSnippet document_text = 2;
+ */
+ public com.google.cloud.automl.v1beta1.TextSnippetOrBuilder getDocumentTextOrBuilder() {
+ if (documentTextBuilder_ != null) {
+ return documentTextBuilder_.getMessageOrBuilder();
+ } else {
+ return documentText_ == null
+ ? com.google.cloud.automl.v1beta1.TextSnippet.getDefaultInstance()
+ : documentText_;
+ }
+ }
+ /**
+ *
+ *
+ *
+ * The plain text version of this document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.TextSnippet document_text = 2;
+ */
+ private com.google.protobuf.SingleFieldBuilderV3<
+ com.google.cloud.automl.v1beta1.TextSnippet,
+ com.google.cloud.automl.v1beta1.TextSnippet.Builder,
+ com.google.cloud.automl.v1beta1.TextSnippetOrBuilder>
+ getDocumentTextFieldBuilder() {
+ if (documentTextBuilder_ == null) {
+ documentTextBuilder_ =
+ new com.google.protobuf.SingleFieldBuilderV3<
+ com.google.cloud.automl.v1beta1.TextSnippet,
+ com.google.cloud.automl.v1beta1.TextSnippet.Builder,
+ com.google.cloud.automl.v1beta1.TextSnippetOrBuilder>(
+ getDocumentText(), getParentForChildren(), isClean());
+ documentText_ = null;
+ }
+ return documentTextBuilder_;
+ }
+
+ private java.util.List layout_ =
+ java.util.Collections.emptyList();
+
+ private void ensureLayoutIsMutable() {
+ if (!((bitField0_ & 0x00000004) != 0)) {
+ layout_ = new java.util.ArrayList(layout_);
+ bitField0_ |= 0x00000004;
+ }
+ }
+
+ private com.google.protobuf.RepeatedFieldBuilderV3<
+ com.google.cloud.automl.v1beta1.Document.Layout,
+ com.google.cloud.automl.v1beta1.Document.Layout.Builder,
+ com.google.cloud.automl.v1beta1.Document.LayoutOrBuilder>
+ layoutBuilder_;
+
+ /**
+ *
+ *
+ *
+ * Describes the layout of the document.
+ * Sorted by [page_number][].
+ *
+ *
+ * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3;
+ */
+ public java.util.List getLayoutList() {
+ if (layoutBuilder_ == null) {
+ return java.util.Collections.unmodifiableList(layout_);
+ } else {
+ return layoutBuilder_.getMessageList();
+ }
+ }
+ /**
+ *
+ *
+ *
+ * Describes the layout of the document.
+ * Sorted by [page_number][].
+ *
+ *
+ * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3;
+ */
+ public int getLayoutCount() {
+ if (layoutBuilder_ == null) {
+ return layout_.size();
+ } else {
+ return layoutBuilder_.getCount();
+ }
+ }
+ /**
+ *
+ *
+ *
+ * Describes the layout of the document.
+ * Sorted by [page_number][].
+ *
+ *
+ * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3;
+ */
+ public com.google.cloud.automl.v1beta1.Document.Layout getLayout(int index) {
+ if (layoutBuilder_ == null) {
+ return layout_.get(index);
+ } else {
+ return layoutBuilder_.getMessage(index);
+ }
+ }
+ /**
+ *
+ *
+ *
+ * Describes the layout of the document.
+ * Sorted by [page_number][].
+ *
+ *
+ * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3;
+ */
+ public Builder setLayout(int index, com.google.cloud.automl.v1beta1.Document.Layout value) {
+ if (layoutBuilder_ == null) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ ensureLayoutIsMutable();
+ layout_.set(index, value);
+ onChanged();
+ } else {
+ layoutBuilder_.setMessage(index, value);
+ }
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Describes the layout of the document.
+ * Sorted by [page_number][].
+ *
+ *
+ * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3;
+ */
+ public Builder setLayout(
+ int index, com.google.cloud.automl.v1beta1.Document.Layout.Builder builderForValue) {
+ if (layoutBuilder_ == null) {
+ ensureLayoutIsMutable();
+ layout_.set(index, builderForValue.build());
+ onChanged();
+ } else {
+ layoutBuilder_.setMessage(index, builderForValue.build());
+ }
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Describes the layout of the document.
+ * Sorted by [page_number][].
+ *
+ *
+ * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3;
+ */
+ public Builder addLayout(com.google.cloud.automl.v1beta1.Document.Layout value) {
+ if (layoutBuilder_ == null) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ ensureLayoutIsMutable();
+ layout_.add(value);
+ onChanged();
+ } else {
+ layoutBuilder_.addMessage(value);
+ }
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Describes the layout of the document.
+ * Sorted by [page_number][].
+ *
+ *
+ * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3;
+ */
+ public Builder addLayout(int index, com.google.cloud.automl.v1beta1.Document.Layout value) {
+ if (layoutBuilder_ == null) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ ensureLayoutIsMutable();
+ layout_.add(index, value);
+ onChanged();
+ } else {
+ layoutBuilder_.addMessage(index, value);
+ }
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Describes the layout of the document.
+ * Sorted by [page_number][].
+ *
+ *
+ * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3;
+ */
+ public Builder addLayout(
+ com.google.cloud.automl.v1beta1.Document.Layout.Builder builderForValue) {
+ if (layoutBuilder_ == null) {
+ ensureLayoutIsMutable();
+ layout_.add(builderForValue.build());
+ onChanged();
+ } else {
+ layoutBuilder_.addMessage(builderForValue.build());
+ }
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Describes the layout of the document.
+ * Sorted by [page_number][].
+ *
+ *
+ * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3;
+ */
+ public Builder addLayout(
+ int index, com.google.cloud.automl.v1beta1.Document.Layout.Builder builderForValue) {
+ if (layoutBuilder_ == null) {
+ ensureLayoutIsMutable();
+ layout_.add(index, builderForValue.build());
+ onChanged();
+ } else {
+ layoutBuilder_.addMessage(index, builderForValue.build());
}
- return result;
+ return this;
}
-
- @java.lang.Override
- public com.google.cloud.automl.v1beta1.Document buildPartial() {
- com.google.cloud.automl.v1beta1.Document result =
- new com.google.cloud.automl.v1beta1.Document(this);
- if (inputConfigBuilder_ == null) {
- result.inputConfig_ = inputConfig_;
+ /**
+ *
+ *
+ *
+ * Describes the layout of the document.
+ * Sorted by [page_number][].
+ *
+ *
+ * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3;
+ */
+ public Builder addAllLayout(
+ java.lang.Iterable extends com.google.cloud.automl.v1beta1.Document.Layout> values) {
+ if (layoutBuilder_ == null) {
+ ensureLayoutIsMutable();
+ com.google.protobuf.AbstractMessageLite.Builder.addAll(values, layout_);
+ onChanged();
} else {
- result.inputConfig_ = inputConfigBuilder_.build();
+ layoutBuilder_.addAllMessages(values);
}
- onBuilt();
- return result;
- }
-
- @java.lang.Override
- public Builder clone() {
- return super.clone();
- }
-
- @java.lang.Override
- public Builder setField(
- com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
- return super.setField(field, value);
- }
-
- @java.lang.Override
- public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
- return super.clearField(field);
+ return this;
}
-
- @java.lang.Override
- public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
- return super.clearOneof(oneof);
+ /**
+ *
+ *
+ *
+ * Describes the layout of the document.
+ * Sorted by [page_number][].
+ *
+ *
+ * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3;
+ */
+ public Builder clearLayout() {
+ if (layoutBuilder_ == null) {
+ layout_ = java.util.Collections.emptyList();
+ bitField0_ = (bitField0_ & ~0x00000004);
+ onChanged();
+ } else {
+ layoutBuilder_.clear();
+ }
+ return this;
}
-
- @java.lang.Override
- public Builder setRepeatedField(
- com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
- return super.setRepeatedField(field, index, value);
+ /**
+ *
+ *
+ *
+ * Describes the layout of the document.
+ * Sorted by [page_number][].
+ *
+ *
+ * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3;
+ */
+ public Builder removeLayout(int index) {
+ if (layoutBuilder_ == null) {
+ ensureLayoutIsMutable();
+ layout_.remove(index);
+ onChanged();
+ } else {
+ layoutBuilder_.remove(index);
+ }
+ return this;
}
-
- @java.lang.Override
- public Builder addRepeatedField(
- com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
- return super.addRepeatedField(field, value);
+ /**
+ *
+ *
+ *
+ * Describes the layout of the document.
+ * Sorted by [page_number][].
+ *
+ *
+ * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3;
+ */
+ public com.google.cloud.automl.v1beta1.Document.Layout.Builder getLayoutBuilder(int index) {
+ return getLayoutFieldBuilder().getBuilder(index);
}
-
- @java.lang.Override
- public Builder mergeFrom(com.google.protobuf.Message other) {
- if (other instanceof com.google.cloud.automl.v1beta1.Document) {
- return mergeFrom((com.google.cloud.automl.v1beta1.Document) other);
+ /**
+ *
+ *
+ *
+ * Describes the layout of the document.
+ * Sorted by [page_number][].
+ *
+ *
+ * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3;
+ */
+ public com.google.cloud.automl.v1beta1.Document.LayoutOrBuilder getLayoutOrBuilder(int index) {
+ if (layoutBuilder_ == null) {
+ return layout_.get(index);
} else {
- super.mergeFrom(other);
- return this;
+ return layoutBuilder_.getMessageOrBuilder(index);
}
}
-
- public Builder mergeFrom(com.google.cloud.automl.v1beta1.Document other) {
- if (other == com.google.cloud.automl.v1beta1.Document.getDefaultInstance()) return this;
- if (other.hasInputConfig()) {
- mergeInputConfig(other.getInputConfig());
+ /**
+ *
+ *
+ *
+ * Describes the layout of the document.
+ * Sorted by [page_number][].
+ *
+ *
+ * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3;
+ */
+ public java.util.List extends com.google.cloud.automl.v1beta1.Document.LayoutOrBuilder>
+ getLayoutOrBuilderList() {
+ if (layoutBuilder_ != null) {
+ return layoutBuilder_.getMessageOrBuilderList();
+ } else {
+ return java.util.Collections.unmodifiableList(layout_);
}
- this.mergeUnknownFields(other.unknownFields);
- onChanged();
- return this;
}
-
- @java.lang.Override
- public final boolean isInitialized() {
- return true;
+ /**
+ *
+ *
+ *
+ * Describes the layout of the document.
+ * Sorted by [page_number][].
+ *
+ *
+ * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3;
+ */
+ public com.google.cloud.automl.v1beta1.Document.Layout.Builder addLayoutBuilder() {
+ return getLayoutFieldBuilder()
+ .addBuilder(com.google.cloud.automl.v1beta1.Document.Layout.getDefaultInstance());
+ }
+ /**
+ *
+ *
+ *
+ * Describes the layout of the document.
+ * Sorted by [page_number][].
+ *
+ *
+ * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3;
+ */
+ public com.google.cloud.automl.v1beta1.Document.Layout.Builder addLayoutBuilder(int index) {
+ return getLayoutFieldBuilder()
+ .addBuilder(index, com.google.cloud.automl.v1beta1.Document.Layout.getDefaultInstance());
+ }
+ /**
+ *
+ *
+ *
+ * Describes the layout of the document.
+ * Sorted by [page_number][].
+ *
+ *
+ * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3;
+ */
+ public java.util.List
+ getLayoutBuilderList() {
+ return getLayoutFieldBuilder().getBuilderList();
}
- @java.lang.Override
- public Builder mergeFrom(
- com.google.protobuf.CodedInputStream input,
- com.google.protobuf.ExtensionRegistryLite extensionRegistry)
- throws java.io.IOException {
- com.google.cloud.automl.v1beta1.Document parsedMessage = null;
- try {
- parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
- } catch (com.google.protobuf.InvalidProtocolBufferException e) {
- parsedMessage = (com.google.cloud.automl.v1beta1.Document) e.getUnfinishedMessage();
- throw e.unwrapIOException();
- } finally {
- if (parsedMessage != null) {
- mergeFrom(parsedMessage);
- }
+ private com.google.protobuf.RepeatedFieldBuilderV3<
+ com.google.cloud.automl.v1beta1.Document.Layout,
+ com.google.cloud.automl.v1beta1.Document.Layout.Builder,
+ com.google.cloud.automl.v1beta1.Document.LayoutOrBuilder>
+ getLayoutFieldBuilder() {
+ if (layoutBuilder_ == null) {
+ layoutBuilder_ =
+ new com.google.protobuf.RepeatedFieldBuilderV3<
+ com.google.cloud.automl.v1beta1.Document.Layout,
+ com.google.cloud.automl.v1beta1.Document.Layout.Builder,
+ com.google.cloud.automl.v1beta1.Document.LayoutOrBuilder>(
+ layout_, ((bitField0_ & 0x00000004) != 0), getParentForChildren(), isClean());
+ layout_ = null;
}
- return this;
+ return layoutBuilder_;
}
- private com.google.cloud.automl.v1beta1.DocumentInputConfig inputConfig_;
+ private com.google.cloud.automl.v1beta1.DocumentDimensions documentDimensions_;
private com.google.protobuf.SingleFieldBuilderV3<
- com.google.cloud.automl.v1beta1.DocumentInputConfig,
- com.google.cloud.automl.v1beta1.DocumentInputConfig.Builder,
- com.google.cloud.automl.v1beta1.DocumentInputConfigOrBuilder>
- inputConfigBuilder_;
+ com.google.cloud.automl.v1beta1.DocumentDimensions,
+ com.google.cloud.automl.v1beta1.DocumentDimensions.Builder,
+ com.google.cloud.automl.v1beta1.DocumentDimensionsOrBuilder>
+ documentDimensionsBuilder_;
/**
*
*
*
- * An input config specifying the content of the document.
+ * The dimensions of the page in the document.
*
*
- * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1;
+ * .google.cloud.automl.v1beta1.DocumentDimensions document_dimensions = 4;
*/
- public boolean hasInputConfig() {
- return inputConfigBuilder_ != null || inputConfig_ != null;
+ public boolean hasDocumentDimensions() {
+ return documentDimensionsBuilder_ != null || documentDimensions_ != null;
}
/**
*
*
*
- * An input config specifying the content of the document.
+ * The dimensions of the page in the document.
*
*
- * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1;
+ * .google.cloud.automl.v1beta1.DocumentDimensions document_dimensions = 4;
*/
- public com.google.cloud.automl.v1beta1.DocumentInputConfig getInputConfig() {
- if (inputConfigBuilder_ == null) {
- return inputConfig_ == null
- ? com.google.cloud.automl.v1beta1.DocumentInputConfig.getDefaultInstance()
- : inputConfig_;
+ public com.google.cloud.automl.v1beta1.DocumentDimensions getDocumentDimensions() {
+ if (documentDimensionsBuilder_ == null) {
+ return documentDimensions_ == null
+ ? com.google.cloud.automl.v1beta1.DocumentDimensions.getDefaultInstance()
+ : documentDimensions_;
} else {
- return inputConfigBuilder_.getMessage();
+ return documentDimensionsBuilder_.getMessage();
}
}
/**
*
*
*
- * An input config specifying the content of the document.
+ * The dimensions of the page in the document.
*
*
- * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1;
+ * .google.cloud.automl.v1beta1.DocumentDimensions document_dimensions = 4;
*/
- public Builder setInputConfig(com.google.cloud.automl.v1beta1.DocumentInputConfig value) {
- if (inputConfigBuilder_ == null) {
+ public Builder setDocumentDimensions(com.google.cloud.automl.v1beta1.DocumentDimensions value) {
+ if (documentDimensionsBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
- inputConfig_ = value;
+ documentDimensions_ = value;
onChanged();
} else {
- inputConfigBuilder_.setMessage(value);
+ documentDimensionsBuilder_.setMessage(value);
}
return this;
@@ -529,18 +3406,18 @@ public Builder setInputConfig(com.google.cloud.automl.v1beta1.DocumentInputConfi
*
*
*
- * An input config specifying the content of the document.
+ * The dimensions of the page in the document.
*
*
- * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1;
+ * .google.cloud.automl.v1beta1.DocumentDimensions document_dimensions = 4;
*/
- public Builder setInputConfig(
- com.google.cloud.automl.v1beta1.DocumentInputConfig.Builder builderForValue) {
- if (inputConfigBuilder_ == null) {
- inputConfig_ = builderForValue.build();
+ public Builder setDocumentDimensions(
+ com.google.cloud.automl.v1beta1.DocumentDimensions.Builder builderForValue) {
+ if (documentDimensionsBuilder_ == null) {
+ documentDimensions_ = builderForValue.build();
onChanged();
} else {
- inputConfigBuilder_.setMessage(builderForValue.build());
+ documentDimensionsBuilder_.setMessage(builderForValue.build());
}
return this;
@@ -549,24 +3426,25 @@ public Builder setInputConfig(
*
*
*
- * An input config specifying the content of the document.
+ * The dimensions of the page in the document.
*
*
- * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1;
+ * .google.cloud.automl.v1beta1.DocumentDimensions document_dimensions = 4;
*/
- public Builder mergeInputConfig(com.google.cloud.automl.v1beta1.DocumentInputConfig value) {
- if (inputConfigBuilder_ == null) {
- if (inputConfig_ != null) {
- inputConfig_ =
- com.google.cloud.automl.v1beta1.DocumentInputConfig.newBuilder(inputConfig_)
+ public Builder mergeDocumentDimensions(
+ com.google.cloud.automl.v1beta1.DocumentDimensions value) {
+ if (documentDimensionsBuilder_ == null) {
+ if (documentDimensions_ != null) {
+ documentDimensions_ =
+ com.google.cloud.automl.v1beta1.DocumentDimensions.newBuilder(documentDimensions_)
.mergeFrom(value)
.buildPartial();
} else {
- inputConfig_ = value;
+ documentDimensions_ = value;
}
onChanged();
} else {
- inputConfigBuilder_.mergeFrom(value);
+ documentDimensionsBuilder_.mergeFrom(value);
}
return this;
@@ -575,18 +3453,18 @@ public Builder mergeInputConfig(com.google.cloud.automl.v1beta1.DocumentInputCon
*
*
*
- * An input config specifying the content of the document.
+ * The dimensions of the page in the document.
*
*
- * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1;
+ * .google.cloud.automl.v1beta1.DocumentDimensions document_dimensions = 4;
*/
- public Builder clearInputConfig() {
- if (inputConfigBuilder_ == null) {
- inputConfig_ = null;
+ public Builder clearDocumentDimensions() {
+ if (documentDimensionsBuilder_ == null) {
+ documentDimensions_ = null;
onChanged();
} else {
- inputConfig_ = null;
- inputConfigBuilder_ = null;
+ documentDimensions_ = null;
+ documentDimensionsBuilder_ = null;
}
return this;
@@ -595,58 +3473,104 @@ public Builder clearInputConfig() {
*
*
*
- * An input config specifying the content of the document.
+ * The dimensions of the page in the document.
*
*
- * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1;
+ * .google.cloud.automl.v1beta1.DocumentDimensions document_dimensions = 4;
*/
- public com.google.cloud.automl.v1beta1.DocumentInputConfig.Builder getInputConfigBuilder() {
+ public com.google.cloud.automl.v1beta1.DocumentDimensions.Builder
+ getDocumentDimensionsBuilder() {
onChanged();
- return getInputConfigFieldBuilder().getBuilder();
+ return getDocumentDimensionsFieldBuilder().getBuilder();
}
/**
*
*
*
- * An input config specifying the content of the document.
+ * The dimensions of the page in the document.
*
*
- * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1;
+ * .google.cloud.automl.v1beta1.DocumentDimensions document_dimensions = 4;
*/
- public com.google.cloud.automl.v1beta1.DocumentInputConfigOrBuilder getInputConfigOrBuilder() {
- if (inputConfigBuilder_ != null) {
- return inputConfigBuilder_.getMessageOrBuilder();
+ public com.google.cloud.automl.v1beta1.DocumentDimensionsOrBuilder
+ getDocumentDimensionsOrBuilder() {
+ if (documentDimensionsBuilder_ != null) {
+ return documentDimensionsBuilder_.getMessageOrBuilder();
} else {
- return inputConfig_ == null
- ? com.google.cloud.automl.v1beta1.DocumentInputConfig.getDefaultInstance()
- : inputConfig_;
+ return documentDimensions_ == null
+ ? com.google.cloud.automl.v1beta1.DocumentDimensions.getDefaultInstance()
+ : documentDimensions_;
}
}
/**
*
*
*
- * An input config specifying the content of the document.
+ * The dimensions of the page in the document.
*
*
- * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1;
+ * .google.cloud.automl.v1beta1.DocumentDimensions document_dimensions = 4;
*/
private com.google.protobuf.SingleFieldBuilderV3<
- com.google.cloud.automl.v1beta1.DocumentInputConfig,
- com.google.cloud.automl.v1beta1.DocumentInputConfig.Builder,
- com.google.cloud.automl.v1beta1.DocumentInputConfigOrBuilder>
- getInputConfigFieldBuilder() {
- if (inputConfigBuilder_ == null) {
- inputConfigBuilder_ =
+ com.google.cloud.automl.v1beta1.DocumentDimensions,
+ com.google.cloud.automl.v1beta1.DocumentDimensions.Builder,
+ com.google.cloud.automl.v1beta1.DocumentDimensionsOrBuilder>
+ getDocumentDimensionsFieldBuilder() {
+ if (documentDimensionsBuilder_ == null) {
+ documentDimensionsBuilder_ =
new com.google.protobuf.SingleFieldBuilderV3<
- com.google.cloud.automl.v1beta1.DocumentInputConfig,
- com.google.cloud.automl.v1beta1.DocumentInputConfig.Builder,
- com.google.cloud.automl.v1beta1.DocumentInputConfigOrBuilder>(
- getInputConfig(), getParentForChildren(), isClean());
- inputConfig_ = null;
+ com.google.cloud.automl.v1beta1.DocumentDimensions,
+ com.google.cloud.automl.v1beta1.DocumentDimensions.Builder,
+ com.google.cloud.automl.v1beta1.DocumentDimensionsOrBuilder>(
+ getDocumentDimensions(), getParentForChildren(), isClean());
+ documentDimensions_ = null;
}
- return inputConfigBuilder_;
+ return documentDimensionsBuilder_;
+ }
+
+ private int pageCount_;
+ /**
+ *
+ *
+ *
+ * Number of pages in the document.
+ *
+ *
+ * int32 page_count = 5;
+ */
+ public int getPageCount() {
+ return pageCount_;
+ }
+ /**
+ *
+ *
+ *
+ * Number of pages in the document.
+ *
+ *
+ * int32 page_count = 5;
+ */
+ public Builder setPageCount(int value) {
+
+ pageCount_ = value;
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Number of pages in the document.
+ *
+ *
+ * int32 page_count = 5;
+ */
+ public Builder clearPageCount() {
+
+ pageCount_ = 0;
+ onChanged();
+ return this;
}
@java.lang.Override
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DocumentDimensions.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DocumentDimensions.java
new file mode 100644
index 000000000000..64ffb652d998
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DocumentDimensions.java
@@ -0,0 +1,909 @@
+// Generated by the protocol buffer compiler. DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/data_items.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ *
+ * Message that describes dimension of a document.
+ *
+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.DocumentDimensions}
+ */
+public final class DocumentDimensions extends com.google.protobuf.GeneratedMessageV3
+ implements
+ // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.DocumentDimensions)
+ DocumentDimensionsOrBuilder {
+ private static final long serialVersionUID = 0L;
+ // Use DocumentDimensions.newBuilder() to construct.
+ private DocumentDimensions(com.google.protobuf.GeneratedMessageV3.Builder> builder) {
+ super(builder);
+ }
+
+ private DocumentDimensions() {
+ unit_ = 0;
+ }
+
+ @java.lang.Override
+ public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+ return this.unknownFields;
+ }
+
+ private DocumentDimensions(
+ com.google.protobuf.CodedInputStream input,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ this();
+ if (extensionRegistry == null) {
+ throw new java.lang.NullPointerException();
+ }
+ int mutable_bitField0_ = 0;
+ com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+ com.google.protobuf.UnknownFieldSet.newBuilder();
+ try {
+ boolean done = false;
+ while (!done) {
+ int tag = input.readTag();
+ switch (tag) {
+ case 0:
+ done = true;
+ break;
+ case 8:
+ {
+ int rawValue = input.readEnum();
+
+ unit_ = rawValue;
+ break;
+ }
+ case 21:
+ {
+ width_ = input.readFloat();
+ break;
+ }
+ case 29:
+ {
+ height_ = input.readFloat();
+ break;
+ }
+ default:
+ {
+ if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+ done = true;
+ }
+ break;
+ }
+ }
+ }
+ } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+ throw e.setUnfinishedMessage(this);
+ } catch (java.io.IOException e) {
+ throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+ } finally {
+ this.unknownFields = unknownFields.build();
+ makeExtensionsImmutable();
+ }
+ }
+
+ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+ return com.google.cloud.automl.v1beta1.DataItems
+ .internal_static_google_cloud_automl_v1beta1_DocumentDimensions_descriptor;
+ }
+
+ @java.lang.Override
+ protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+ internalGetFieldAccessorTable() {
+ return com.google.cloud.automl.v1beta1.DataItems
+ .internal_static_google_cloud_automl_v1beta1_DocumentDimensions_fieldAccessorTable
+ .ensureFieldAccessorsInitialized(
+ com.google.cloud.automl.v1beta1.DocumentDimensions.class,
+ com.google.cloud.automl.v1beta1.DocumentDimensions.Builder.class);
+ }
+
+ /**
+ *
+ *
+ *
+ * Unit of the document dimension.
+ *
+ *
+ * Protobuf enum {@code google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit}
+ */
+ public enum DocumentDimensionUnit implements com.google.protobuf.ProtocolMessageEnum {
+ /**
+ *
+ *
+ *
+ * Should not be used.
+ *
+ *
+ * DOCUMENT_DIMENSION_UNIT_UNSPECIFIED = 0;
+ */
+ DOCUMENT_DIMENSION_UNIT_UNSPECIFIED(0),
+ /**
+ *
+ *
+ *
+ * Document dimension is measured in inches.
+ *
+ *
+ * INCH = 1;
+ */
+ INCH(1),
+ /**
+ *
+ *
+ *
+ * Document dimension is measured in centimeters.
+ *
+ *
+ * CENTIMETER = 2;
+ */
+ CENTIMETER(2),
+ /**
+ *
+ *
+ *
+ * Document dimension is measured in points. 72 points = 1 inch.
+ *
+ *
+ * POINT = 3;
+ */
+ POINT(3),
+ UNRECOGNIZED(-1),
+ ;
+
+ /**
+ *
+ *
+ *
+ * Should not be used.
+ *
+ *
+ * DOCUMENT_DIMENSION_UNIT_UNSPECIFIED = 0;
+ */
+ public static final int DOCUMENT_DIMENSION_UNIT_UNSPECIFIED_VALUE = 0;
+ /**
+ *
+ *
+ *
+ * Document dimension is measured in inches.
+ *
+ *
+ * INCH = 1;
+ */
+ public static final int INCH_VALUE = 1;
+ /**
+ *
+ *
+ *
+ * Document dimension is measured in centimeters.
+ *
+ *
+ * CENTIMETER = 2;
+ */
+ public static final int CENTIMETER_VALUE = 2;
+ /**
+ *
+ *
+ *
+ * Document dimension is measured in points. 72 points = 1 inch.
+ *
+ *
+ * POINT = 3;
+ */
+ public static final int POINT_VALUE = 3;
+
+ public final int getNumber() {
+ if (this == UNRECOGNIZED) {
+ throw new java.lang.IllegalArgumentException(
+ "Can't get the number of an unknown enum value.");
+ }
+ return value;
+ }
+
+ /** @deprecated Use {@link #forNumber(int)} instead. */
+ @java.lang.Deprecated
+ public static DocumentDimensionUnit valueOf(int value) {
+ return forNumber(value);
+ }
+
+ public static DocumentDimensionUnit forNumber(int value) {
+ switch (value) {
+ case 0:
+ return DOCUMENT_DIMENSION_UNIT_UNSPECIFIED;
+ case 1:
+ return INCH;
+ case 2:
+ return CENTIMETER;
+ case 3:
+ return POINT;
+ default:
+ return null;
+ }
+ }
+
+ public static com.google.protobuf.Internal.EnumLiteMap
+ internalGetValueMap() {
+ return internalValueMap;
+ }
+
+ private static final com.google.protobuf.Internal.EnumLiteMap
+ internalValueMap =
+ new com.google.protobuf.Internal.EnumLiteMap() {
+ public DocumentDimensionUnit findValueByNumber(int number) {
+ return DocumentDimensionUnit.forNumber(number);
+ }
+ };
+
+ public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() {
+ return getDescriptor().getValues().get(ordinal());
+ }
+
+ public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType() {
+ return getDescriptor();
+ }
+
+ public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor() {
+ return com.google.cloud.automl.v1beta1.DocumentDimensions.getDescriptor()
+ .getEnumTypes()
+ .get(0);
+ }
+
+ private static final DocumentDimensionUnit[] VALUES = values();
+
+ public static DocumentDimensionUnit valueOf(
+ com.google.protobuf.Descriptors.EnumValueDescriptor desc) {
+ if (desc.getType() != getDescriptor()) {
+ throw new java.lang.IllegalArgumentException("EnumValueDescriptor is not for this type.");
+ }
+ if (desc.getIndex() == -1) {
+ return UNRECOGNIZED;
+ }
+ return VALUES[desc.getIndex()];
+ }
+
+ private final int value;
+
+ private DocumentDimensionUnit(int value) {
+ this.value = value;
+ }
+
+ // @@protoc_insertion_point(enum_scope:google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit)
+ }
+
+ public static final int UNIT_FIELD_NUMBER = 1;
+ private int unit_;
+ /**
+ *
+ *
+ *
+ * Unit of the dimension.
+ *
+ *
+ * .google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit unit = 1;
+ */
+ public int getUnitValue() {
+ return unit_;
+ }
+ /**
+ *
+ *
+ *
+ * Unit of the dimension.
+ *
+ *
+ * .google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit unit = 1;
+ */
+ public com.google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit getUnit() {
+ @SuppressWarnings("deprecation")
+ com.google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit result =
+ com.google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit.valueOf(unit_);
+ return result == null
+ ? com.google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit.UNRECOGNIZED
+ : result;
+ }
+
+ public static final int WIDTH_FIELD_NUMBER = 2;
+ private float width_;
+ /**
+ *
+ *
+ *
+ * Width value of the document, works together with the unit.
+ *
+ *
+ * float width = 2;
+ */
+ public float getWidth() {
+ return width_;
+ }
+
+ public static final int HEIGHT_FIELD_NUMBER = 3;
+ private float height_;
+ /**
+ *
+ *
+ *
+ * Height value of the document, works together with the unit.
+ *
+ *
+ * float height = 3;
+ */
+ public float getHeight() {
+ return height_;
+ }
+
+ private byte memoizedIsInitialized = -1;
+
+ @java.lang.Override
+ public final boolean isInitialized() {
+ byte isInitialized = memoizedIsInitialized;
+ if (isInitialized == 1) return true;
+ if (isInitialized == 0) return false;
+
+ memoizedIsInitialized = 1;
+ return true;
+ }
+
+ @java.lang.Override
+ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+ if (unit_
+ != com.google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit
+ .DOCUMENT_DIMENSION_UNIT_UNSPECIFIED
+ .getNumber()) {
+ output.writeEnum(1, unit_);
+ }
+ if (width_ != 0F) {
+ output.writeFloat(2, width_);
+ }
+ if (height_ != 0F) {
+ output.writeFloat(3, height_);
+ }
+ unknownFields.writeTo(output);
+ }
+
+ @java.lang.Override
+ public int getSerializedSize() {
+ int size = memoizedSize;
+ if (size != -1) return size;
+
+ size = 0;
+ if (unit_
+ != com.google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit
+ .DOCUMENT_DIMENSION_UNIT_UNSPECIFIED
+ .getNumber()) {
+ size += com.google.protobuf.CodedOutputStream.computeEnumSize(1, unit_);
+ }
+ if (width_ != 0F) {
+ size += com.google.protobuf.CodedOutputStream.computeFloatSize(2, width_);
+ }
+ if (height_ != 0F) {
+ size += com.google.protobuf.CodedOutputStream.computeFloatSize(3, height_);
+ }
+ size += unknownFields.getSerializedSize();
+ memoizedSize = size;
+ return size;
+ }
+
+ @java.lang.Override
+ public boolean equals(final java.lang.Object obj) {
+ if (obj == this) {
+ return true;
+ }
+ if (!(obj instanceof com.google.cloud.automl.v1beta1.DocumentDimensions)) {
+ return super.equals(obj);
+ }
+ com.google.cloud.automl.v1beta1.DocumentDimensions other =
+ (com.google.cloud.automl.v1beta1.DocumentDimensions) obj;
+
+ if (unit_ != other.unit_) return false;
+ if (java.lang.Float.floatToIntBits(getWidth())
+ != java.lang.Float.floatToIntBits(other.getWidth())) return false;
+ if (java.lang.Float.floatToIntBits(getHeight())
+ != java.lang.Float.floatToIntBits(other.getHeight())) return false;
+ if (!unknownFields.equals(other.unknownFields)) return false;
+ return true;
+ }
+
+ @java.lang.Override
+ public int hashCode() {
+ if (memoizedHashCode != 0) {
+ return memoizedHashCode;
+ }
+ int hash = 41;
+ hash = (19 * hash) + getDescriptor().hashCode();
+ hash = (37 * hash) + UNIT_FIELD_NUMBER;
+ hash = (53 * hash) + unit_;
+ hash = (37 * hash) + WIDTH_FIELD_NUMBER;
+ hash = (53 * hash) + java.lang.Float.floatToIntBits(getWidth());
+ hash = (37 * hash) + HEIGHT_FIELD_NUMBER;
+ hash = (53 * hash) + java.lang.Float.floatToIntBits(getHeight());
+ hash = (29 * hash) + unknownFields.hashCode();
+ memoizedHashCode = hash;
+ return hash;
+ }
+
+ public static com.google.cloud.automl.v1beta1.DocumentDimensions parseFrom(
+ java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.automl.v1beta1.DocumentDimensions parseFrom(
+ java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.automl.v1beta1.DocumentDimensions parseFrom(
+ com.google.protobuf.ByteString data)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.automl.v1beta1.DocumentDimensions parseFrom(
+ com.google.protobuf.ByteString data,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.automl.v1beta1.DocumentDimensions parseFrom(byte[] data)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.automl.v1beta1.DocumentDimensions parseFrom(
+ byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.automl.v1beta1.DocumentDimensions parseFrom(
+ java.io.InputStream input) throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.automl.v1beta1.DocumentDimensions parseFrom(
+ java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+ PARSER, input, extensionRegistry);
+ }
+
+ public static com.google.cloud.automl.v1beta1.DocumentDimensions parseDelimitedFrom(
+ java.io.InputStream input) throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.automl.v1beta1.DocumentDimensions parseDelimitedFrom(
+ java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+ PARSER, input, extensionRegistry);
+ }
+
+ public static com.google.cloud.automl.v1beta1.DocumentDimensions parseFrom(
+ com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.automl.v1beta1.DocumentDimensions parseFrom(
+ com.google.protobuf.CodedInputStream input,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+ PARSER, input, extensionRegistry);
+ }
+
+ @java.lang.Override
+ public Builder newBuilderForType() {
+ return newBuilder();
+ }
+
+ public static Builder newBuilder() {
+ return DEFAULT_INSTANCE.toBuilder();
+ }
+
+ public static Builder newBuilder(com.google.cloud.automl.v1beta1.DocumentDimensions prototype) {
+ return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+ }
+
+ @java.lang.Override
+ public Builder toBuilder() {
+ return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+ }
+
+ @java.lang.Override
+ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+ Builder builder = new Builder(parent);
+ return builder;
+ }
+ /**
+ *
+ *
+ *
+ * Message that describes dimension of a document.
+ *
+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.DocumentDimensions}
+ */
+ public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+ implements
+ // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.DocumentDimensions)
+ com.google.cloud.automl.v1beta1.DocumentDimensionsOrBuilder {
+ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+ return com.google.cloud.automl.v1beta1.DataItems
+ .internal_static_google_cloud_automl_v1beta1_DocumentDimensions_descriptor;
+ }
+
+ @java.lang.Override
+ protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+ internalGetFieldAccessorTable() {
+ return com.google.cloud.automl.v1beta1.DataItems
+ .internal_static_google_cloud_automl_v1beta1_DocumentDimensions_fieldAccessorTable
+ .ensureFieldAccessorsInitialized(
+ com.google.cloud.automl.v1beta1.DocumentDimensions.class,
+ com.google.cloud.automl.v1beta1.DocumentDimensions.Builder.class);
+ }
+
+ // Construct using com.google.cloud.automl.v1beta1.DocumentDimensions.newBuilder()
+ private Builder() {
+ maybeForceBuilderInitialization();
+ }
+
+ private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+ super(parent);
+ maybeForceBuilderInitialization();
+ }
+
+ private void maybeForceBuilderInitialization() {
+ if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+ }
+
+ @java.lang.Override
+ public Builder clear() {
+ super.clear();
+ unit_ = 0;
+
+ width_ = 0F;
+
+ height_ = 0F;
+
+ return this;
+ }
+
+ @java.lang.Override
+ public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+ return com.google.cloud.automl.v1beta1.DataItems
+ .internal_static_google_cloud_automl_v1beta1_DocumentDimensions_descriptor;
+ }
+
+ @java.lang.Override
+ public com.google.cloud.automl.v1beta1.DocumentDimensions getDefaultInstanceForType() {
+ return com.google.cloud.automl.v1beta1.DocumentDimensions.getDefaultInstance();
+ }
+
+ @java.lang.Override
+ public com.google.cloud.automl.v1beta1.DocumentDimensions build() {
+ com.google.cloud.automl.v1beta1.DocumentDimensions result = buildPartial();
+ if (!result.isInitialized()) {
+ throw newUninitializedMessageException(result);
+ }
+ return result;
+ }
+
+ @java.lang.Override
+ public com.google.cloud.automl.v1beta1.DocumentDimensions buildPartial() {
+ com.google.cloud.automl.v1beta1.DocumentDimensions result =
+ new com.google.cloud.automl.v1beta1.DocumentDimensions(this);
+ result.unit_ = unit_;
+ result.width_ = width_;
+ result.height_ = height_;
+ onBuilt();
+ return result;
+ }
+
+ @java.lang.Override
+ public Builder clone() {
+ return super.clone();
+ }
+
+ @java.lang.Override
+ public Builder setField(
+ com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+ return super.setField(field, value);
+ }
+
+ @java.lang.Override
+ public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+ return super.clearField(field);
+ }
+
+ @java.lang.Override
+ public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+ return super.clearOneof(oneof);
+ }
+
+ @java.lang.Override
+ public Builder setRepeatedField(
+ com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+ return super.setRepeatedField(field, index, value);
+ }
+
+ @java.lang.Override
+ public Builder addRepeatedField(
+ com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+ return super.addRepeatedField(field, value);
+ }
+
+ @java.lang.Override
+ public Builder mergeFrom(com.google.protobuf.Message other) {
+ if (other instanceof com.google.cloud.automl.v1beta1.DocumentDimensions) {
+ return mergeFrom((com.google.cloud.automl.v1beta1.DocumentDimensions) other);
+ } else {
+ super.mergeFrom(other);
+ return this;
+ }
+ }
+
+ public Builder mergeFrom(com.google.cloud.automl.v1beta1.DocumentDimensions other) {
+ if (other == com.google.cloud.automl.v1beta1.DocumentDimensions.getDefaultInstance())
+ return this;
+ if (other.unit_ != 0) {
+ setUnitValue(other.getUnitValue());
+ }
+ if (other.getWidth() != 0F) {
+ setWidth(other.getWidth());
+ }
+ if (other.getHeight() != 0F) {
+ setHeight(other.getHeight());
+ }
+ this.mergeUnknownFields(other.unknownFields);
+ onChanged();
+ return this;
+ }
+
+ @java.lang.Override
+ public final boolean isInitialized() {
+ return true;
+ }
+
+ @java.lang.Override
+ public Builder mergeFrom(
+ com.google.protobuf.CodedInputStream input,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ com.google.cloud.automl.v1beta1.DocumentDimensions parsedMessage = null;
+ try {
+ parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+ } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+ parsedMessage =
+ (com.google.cloud.automl.v1beta1.DocumentDimensions) e.getUnfinishedMessage();
+ throw e.unwrapIOException();
+ } finally {
+ if (parsedMessage != null) {
+ mergeFrom(parsedMessage);
+ }
+ }
+ return this;
+ }
+
+ private int unit_ = 0;
+ /**
+ *
+ *
+ *
+ * Unit of the dimension.
+ *
+ *
+ * .google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit unit = 1;
+ */
+ public int getUnitValue() {
+ return unit_;
+ }
+ /**
+ *
+ *
+ *
+ * Unit of the dimension.
+ *
+ *
+ * .google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit unit = 1;
+ */
+ public Builder setUnitValue(int value) {
+ unit_ = value;
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Unit of the dimension.
+ *
+ *
+ * .google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit unit = 1;
+ */
+ public com.google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit getUnit() {
+ @SuppressWarnings("deprecation")
+ com.google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit result =
+ com.google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit.valueOf(unit_);
+ return result == null
+ ? com.google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit.UNRECOGNIZED
+ : result;
+ }
+ /**
+ *
+ *
+ *
+ * Unit of the dimension.
+ *
+ *
+ * .google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit unit = 1;
+ */
+ public Builder setUnit(
+ com.google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit value) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+
+ unit_ = value.getNumber();
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Unit of the dimension.
+ *
+ *
+ * .google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit unit = 1;
+ */
+ public Builder clearUnit() {
+
+ unit_ = 0;
+ onChanged();
+ return this;
+ }
+
+ private float width_;
+ /**
+ *
+ *
+ *
+ * Width value of the document, works together with the unit.
+ *
+ *
+ * float width = 2;
+ */
+ public float getWidth() {
+ return width_;
+ }
+ /**
+ *
+ *
+ *
+ * Width value of the document, works together with the unit.
+ *
+ *
+ * float width = 2;
+ */
+ public Builder setWidth(float value) {
+
+ width_ = value;
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Width value of the document, works together with the unit.
+ *
+ *
+ * float width = 2;
+ */
+ public Builder clearWidth() {
+
+ width_ = 0F;
+ onChanged();
+ return this;
+ }
+
+ private float height_;
+ /**
+ *
+ *
+ *
+ * Height value of the document, works together with the unit.
+ *
+ *
+ * float height = 3;
+ */
+ public float getHeight() {
+ return height_;
+ }
+ /**
+ *
+ *
+ *
+ * Height value of the document, works together with the unit.
+ *
+ *
+ * float height = 3;
+ */
+ public Builder setHeight(float value) {
+
+ height_ = value;
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Height value of the document, works together with the unit.
+ *
+ *
+ * float height = 3;
+ */
+ public Builder clearHeight() {
+
+ height_ = 0F;
+ onChanged();
+ return this;
+ }
+
+ @java.lang.Override
+ public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+ return super.setUnknownFields(unknownFields);
+ }
+
+ @java.lang.Override
+ public final Builder mergeUnknownFields(
+ final com.google.protobuf.UnknownFieldSet unknownFields) {
+ return super.mergeUnknownFields(unknownFields);
+ }
+
+ // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.DocumentDimensions)
+ }
+
+ // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.DocumentDimensions)
+ private static final com.google.cloud.automl.v1beta1.DocumentDimensions DEFAULT_INSTANCE;
+
+ static {
+ DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.DocumentDimensions();
+ }
+
+ public static com.google.cloud.automl.v1beta1.DocumentDimensions getDefaultInstance() {
+ return DEFAULT_INSTANCE;
+ }
+
+ private static final com.google.protobuf.Parser PARSER =
+ new com.google.protobuf.AbstractParser() {
+ @java.lang.Override
+ public DocumentDimensions parsePartialFrom(
+ com.google.protobuf.CodedInputStream input,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return new DocumentDimensions(input, extensionRegistry);
+ }
+ };
+
+ public static com.google.protobuf.Parser parser() {
+ return PARSER;
+ }
+
+ @java.lang.Override
+ public com.google.protobuf.Parser getParserForType() {
+ return PARSER;
+ }
+
+ @java.lang.Override
+ public com.google.cloud.automl.v1beta1.DocumentDimensions getDefaultInstanceForType() {
+ return DEFAULT_INSTANCE;
+ }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DocumentDimensionsOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DocumentDimensionsOrBuilder.java
new file mode 100644
index 000000000000..81cc740d1fb6
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DocumentDimensionsOrBuilder.java
@@ -0,0 +1,53 @@
+// Generated by the protocol buffer compiler. DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/data_items.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface DocumentDimensionsOrBuilder
+ extends
+ // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.DocumentDimensions)
+ com.google.protobuf.MessageOrBuilder {
+
+ /**
+ *
+ *
+ *
+ * Unit of the dimension.
+ *
+ *
+ * .google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit unit = 1;
+ */
+ int getUnitValue();
+ /**
+ *
+ *
+ *
+ * Unit of the dimension.
+ *
+ *
+ * .google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit unit = 1;
+ */
+ com.google.cloud.automl.v1beta1.DocumentDimensions.DocumentDimensionUnit getUnit();
+
+ /**
+ *
+ *
+ *
+ * Width value of the document, works together with the unit.
+ *
+ *
+ * float width = 2;
+ */
+ float getWidth();
+
+ /**
+ *
+ *
+ *
+ * Height value of the document, works together with the unit.
+ *
+ *
+ * float height = 3;
+ */
+ float getHeight();
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DocumentOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DocumentOrBuilder.java
index 59e37ecbd277..a11d5a2bb7a5 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DocumentOrBuilder.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DocumentOrBuilder.java
@@ -38,4 +38,134 @@ public interface DocumentOrBuilder
* .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1;
*/
com.google.cloud.automl.v1beta1.DocumentInputConfigOrBuilder getInputConfigOrBuilder();
+
+ /**
+ *
+ *
+ *
+ * The plain text version of this document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.TextSnippet document_text = 2;
+ */
+ boolean hasDocumentText();
+ /**
+ *
+ *
+ *
+ * The plain text version of this document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.TextSnippet document_text = 2;
+ */
+ com.google.cloud.automl.v1beta1.TextSnippet getDocumentText();
+ /**
+ *
+ *
+ *
+ * The plain text version of this document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.TextSnippet document_text = 2;
+ */
+ com.google.cloud.automl.v1beta1.TextSnippetOrBuilder getDocumentTextOrBuilder();
+
+ /**
+ *
+ *
+ *
+ * Describes the layout of the document.
+ * Sorted by [page_number][].
+ *
+ *
+ * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3;
+ */
+ java.util.List getLayoutList();
+ /**
+ *
+ *
+ *
+ * Describes the layout of the document.
+ * Sorted by [page_number][].
+ *
+ *
+ * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3;
+ */
+ com.google.cloud.automl.v1beta1.Document.Layout getLayout(int index);
+ /**
+ *
+ *
+ *
+ * Describes the layout of the document.
+ * Sorted by [page_number][].
+ *
+ *
+ * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3;
+ */
+ int getLayoutCount();
+ /**
+ *
+ *
+ *
+ * Describes the layout of the document.
+ * Sorted by [page_number][].
+ *
+ *
+ * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3;
+ */
+ java.util.List extends com.google.cloud.automl.v1beta1.Document.LayoutOrBuilder>
+ getLayoutOrBuilderList();
+ /**
+ *
+ *
+ *
+ * Describes the layout of the document.
+ * Sorted by [page_number][].
+ *
+ *
+ * repeated .google.cloud.automl.v1beta1.Document.Layout layout = 3;
+ */
+ com.google.cloud.automl.v1beta1.Document.LayoutOrBuilder getLayoutOrBuilder(int index);
+
+ /**
+ *
+ *
+ *
+ * The dimensions of the page in the document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.DocumentDimensions document_dimensions = 4;
+ */
+ boolean hasDocumentDimensions();
+ /**
+ *
+ *
+ *
+ * The dimensions of the page in the document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.DocumentDimensions document_dimensions = 4;
+ */
+ com.google.cloud.automl.v1beta1.DocumentDimensions getDocumentDimensions();
+ /**
+ *
+ *
+ *
+ * The dimensions of the page in the document.
+ *
+ *
+ * .google.cloud.automl.v1beta1.DocumentDimensions document_dimensions = 4;
+ */
+ com.google.cloud.automl.v1beta1.DocumentDimensionsOrBuilder getDocumentDimensionsOrBuilder();
+
+ /**
+ *
+ *
+ *
+ * Number of pages in the document.
+ *
+ *
+ * int32 page_count = 5;
+ */
+ int getPageCount();
}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/InputConfig.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/InputConfig.java
index 8616ea0f3e9b..388c873bda34 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/InputConfig.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/InputConfig.java
@@ -116,7 +116,8 @@
* CSV file(s) with each line in format:
* ML_USE,GCS_FILE_PATH
* GCS_FILE_PATH leads to a .JSONL (that is, JSON Lines) file which
- * either imports text in-line or as documents.
+ * either imports text in-line or as documents. Any given
+ * .JSONL file must be 100MB or smaller.
* The in-line .JSONL file contains, per line, a proto that wraps a
* TextSnippet proto (in json representation) followed by one or more
* AnnotationPayload protos (called annotations), which have
@@ -124,12 +125,16 @@
* is expected to be annotated exhaustively, for example, if you look
* for animals and text contains "dolphin" that is not labeled, then
* "dolphin" is assumed to not be an animal. Any given text snippet
- * content must have 30,000 characters or less, and also be UTF-8 NFC
- * encoded (ASCII already is). The document .JSONL file contains, per line, a proto that wraps a
- * Document proto with input_config set. Only PDF documents are
- * supported now, and each document may be up to 2MB large. Currently
- * annotations on documents cannot be specified at import. Any given
- * .JSONL file must be 100MB or smaller.
+ * content must be 10KB or smaller, and also be UTF-8 NFC encoded
+ * (ASCII already is).
+ * The document .JSONL file contains, per line, a proto that wraps a
+ * Document proto. The Document proto must have either document_text
+ * or input_config set. In document_text case, the Document proto may
+ * also contain the spatial information of the document, including
+ * layout, document dimension and page number. In input_config case,
+ * only PDF documents are supported now, and each document may be up
+ * to 2MB large. Currently, annotations on documents cannot be
+ * specified at import.
* Three sample CSV rows:
* TRAIN,gs://folder/file1.jsonl
* VALIDATE,gs://folder/file2.jsonl
@@ -138,27 +143,60 @@
* with artificial line breaks, but the only actual line break is
* denoted by \n).:
* {
- * "text_snippet": {
- * "content": "dog car cat"
- * } "annotations": [
- * {
- * "display_name": "animal",
- * "text_extraction": {
- * "text_segment": {"start_offset": 0, "end_offset": 3}
+ * "document": {
+ * "document_text": {"content": "dog cat"}
+ * "layout": [
+ * {
+ * "text_segment": {
+ * "start_offset": 0,
+ * "end_offset": 3,
+ * },
+ * "page_number": 1,
+ * "bounding_poly": {
+ * "normalized_vertices": [
+ * {"x": 0.1, "y": 0.1},
+ * {"x": 0.1, "y": 0.3},
+ * {"x": 0.3, "y": 0.3},
+ * {"x": 0.3, "y": 0.1},
+ * ],
+ * },
+ * "text_segment_type": TOKEN,
+ * },
+ * {
+ * "text_segment": {
+ * "start_offset": 4,
+ * "end_offset": 7,
+ * },
+ * "page_number": 1,
+ * "bounding_poly": {
+ * "normalized_vertices": [
+ * {"x": 0.4, "y": 0.1},
+ * {"x": 0.4, "y": 0.3},
+ * {"x": 0.8, "y": 0.3},
+ * {"x": 0.8, "y": 0.1},
+ * ],
+ * },
+ * "text_segment_type": TOKEN,
* }
- * },
+ * ],
+ * "document_dimensions": {
+ * "width": 8.27,
+ * "height": 11.69,
+ * "unit": INCH,
+ * }
+ * "page_count": 1,
+ * },
+ * "annotations": [
* {
- * "display_name": "vehicle",
- * "text_extraction": {
- * "text_segment": {"start_offset": 4, "end_offset": 7}
- * }
+ * "display_name": "animal",
+ * "text_extraction": {"text_segment": {"start_offset": 0,
+ * "end_offset": 3}}
* },
* {
* "display_name": "animal",
- * "text_extraction": {
- * "text_segment": {"start_offset": 8, "end_offset": 11}
- * }
- * },
+ * "text_extraction": {"text_segment": {"start_offset": 4,
+ * "end_offset": 7}}
+ * }
* ],
* }\n
* {
@@ -1016,7 +1054,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
* CSV file(s) with each line in format:
* ML_USE,GCS_FILE_PATH
* GCS_FILE_PATH leads to a .JSONL (that is, JSON Lines) file which
- * either imports text in-line or as documents.
+ * either imports text in-line or as documents. Any given
+ * .JSONL file must be 100MB or smaller.
* The in-line .JSONL file contains, per line, a proto that wraps a
* TextSnippet proto (in json representation) followed by one or more
* AnnotationPayload protos (called annotations), which have
@@ -1024,12 +1063,16 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
* is expected to be annotated exhaustively, for example, if you look
* for animals and text contains "dolphin" that is not labeled, then
* "dolphin" is assumed to not be an animal. Any given text snippet
- * content must have 30,000 characters or less, and also be UTF-8 NFC
- * encoded (ASCII already is). The document .JSONL file contains, per line, a proto that wraps a
- * Document proto with input_config set. Only PDF documents are
- * supported now, and each document may be up to 2MB large. Currently
- * annotations on documents cannot be specified at import. Any given
- * .JSONL file must be 100MB or smaller.
+ * content must be 10KB or smaller, and also be UTF-8 NFC encoded
+ * (ASCII already is).
+ * The document .JSONL file contains, per line, a proto that wraps a
+ * Document proto. The Document proto must have either document_text
+ * or input_config set. In document_text case, the Document proto may
+ * also contain the spatial information of the document, including
+ * layout, document dimension and page number. In input_config case,
+ * only PDF documents are supported now, and each document may be up
+ * to 2MB large. Currently, annotations on documents cannot be
+ * specified at import.
* Three sample CSV rows:
* TRAIN,gs://folder/file1.jsonl
* VALIDATE,gs://folder/file2.jsonl
@@ -1038,27 +1081,60 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
* with artificial line breaks, but the only actual line break is
* denoted by \n).:
* {
- * "text_snippet": {
- * "content": "dog car cat"
- * } "annotations": [
- * {
- * "display_name": "animal",
- * "text_extraction": {
- * "text_segment": {"start_offset": 0, "end_offset": 3}
+ * "document": {
+ * "document_text": {"content": "dog cat"}
+ * "layout": [
+ * {
+ * "text_segment": {
+ * "start_offset": 0,
+ * "end_offset": 3,
+ * },
+ * "page_number": 1,
+ * "bounding_poly": {
+ * "normalized_vertices": [
+ * {"x": 0.1, "y": 0.1},
+ * {"x": 0.1, "y": 0.3},
+ * {"x": 0.3, "y": 0.3},
+ * {"x": 0.3, "y": 0.1},
+ * ],
+ * },
+ * "text_segment_type": TOKEN,
+ * },
+ * {
+ * "text_segment": {
+ * "start_offset": 4,
+ * "end_offset": 7,
+ * },
+ * "page_number": 1,
+ * "bounding_poly": {
+ * "normalized_vertices": [
+ * {"x": 0.4, "y": 0.1},
+ * {"x": 0.4, "y": 0.3},
+ * {"x": 0.8, "y": 0.3},
+ * {"x": 0.8, "y": 0.1},
+ * ],
+ * },
+ * "text_segment_type": TOKEN,
* }
- * },
+ * ],
+ * "document_dimensions": {
+ * "width": 8.27,
+ * "height": 11.69,
+ * "unit": INCH,
+ * }
+ * "page_count": 1,
+ * },
+ * "annotations": [
* {
- * "display_name": "vehicle",
- * "text_extraction": {
- * "text_segment": {"start_offset": 4, "end_offset": 7}
- * }
+ * "display_name": "animal",
+ * "text_extraction": {"text_segment": {"start_offset": 0,
+ * "end_offset": 3}}
* },
* {
* "display_name": "animal",
- * "text_extraction": {
- * "text_segment": {"start_offset": 8, "end_offset": 11}
- * }
- * },
+ * "text_extraction": {"text_segment": {"start_offset": 4,
+ * "end_offset": 7}}
+ * }
* ],
* }\n
* {
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictRequest.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictRequest.java
index dab002751cf8..03084085807f 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictRequest.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictRequest.java
@@ -7,7 +7,8 @@
*
*
*
- * Request message for [PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict].
+ * Request message for
+ * [PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict].
*
*
* Protobuf type {@code google.cloud.automl.v1beta1.PredictRequest}
@@ -578,7 +579,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
*
*
*
- * Request message for [PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict].
+ * Request message for
+ * [PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict].
*
*
* Protobuf type {@code google.cloud.automl.v1beta1.PredictRequest}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictResponse.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictResponse.java
index 5842f1401db2..e6e3c0574d91 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictResponse.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictResponse.java
@@ -7,7 +7,8 @@
*
*
*
- * Response message for [PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict].
+ * Response message for
+ * [PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict].
*
*
* Protobuf type {@code google.cloud.automl.v1beta1.PredictResponse}
@@ -65,17 +66,33 @@ private PredictResponse(
}
case 18:
{
- if (!((mutable_bitField0_ & 0x00000002) != 0)) {
+ if (!((mutable_bitField0_ & 0x00000004) != 0)) {
metadata_ =
com.google.protobuf.MapField.newMapField(
MetadataDefaultEntryHolder.defaultEntry);
- mutable_bitField0_ |= 0x00000002;
+ mutable_bitField0_ |= 0x00000004;
}
com.google.protobuf.MapEntry metadata__ =
input.readMessage(
MetadataDefaultEntryHolder.defaultEntry.getParserForType(),
extensionRegistry);
metadata_.getMutableMap().put(metadata__.getKey(), metadata__.getValue());
+ break;
+ }
+ case 26:
+ {
+ com.google.cloud.automl.v1beta1.ExamplePayload.Builder subBuilder = null;
+ if (preprocessedInput_ != null) {
+ subBuilder = preprocessedInput_.toBuilder();
+ }
+ preprocessedInput_ =
+ input.readMessage(
+ com.google.cloud.automl.v1beta1.ExamplePayload.parser(), extensionRegistry);
+ if (subBuilder != null) {
+ subBuilder.mergeFrom(preprocessedInput_);
+ preprocessedInput_ = subBuilder.buildPartial();
+ }
+
break;
}
default:
@@ -126,6 +143,7 @@ protected com.google.protobuf.MapField internalGetMapField(int number) {
com.google.cloud.automl.v1beta1.PredictResponse.Builder.class);
}
+ private int bitField0_;
public static final int PAYLOAD_FIELD_NUMBER = 1;
private java.util.List payload_;
/**
@@ -195,6 +213,59 @@ public com.google.cloud.automl.v1beta1.AnnotationPayloadOrBuilder getPayloadOrBu
return payload_.get(index);
}
+ public static final int PREPROCESSED_INPUT_FIELD_NUMBER = 3;
+ private com.google.cloud.automl.v1beta1.ExamplePayload preprocessedInput_;
+ /**
+ *
+ *
+ *
+ * The preprocessed example that AutoML actually makes prediction on.
+ * Empty if AutoML does not preprocess the input example.
+ * * For Text Extraction:
+ * If the input is a .pdf file, the OCR'ed text will be provided in
+ * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+ *
+ *
+ * .google.cloud.automl.v1beta1.ExamplePayload preprocessed_input = 3;
+ */
+ public boolean hasPreprocessedInput() {
+ return preprocessedInput_ != null;
+ }
+ /**
+ *
+ *
+ *
+ * The preprocessed example that AutoML actually makes prediction on.
+ * Empty if AutoML does not preprocess the input example.
+ * * For Text Extraction:
+ * If the input is a .pdf file, the OCR'ed text will be provided in
+ * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+ *
+ *
+ * .google.cloud.automl.v1beta1.ExamplePayload preprocessed_input = 3;
+ */
+ public com.google.cloud.automl.v1beta1.ExamplePayload getPreprocessedInput() {
+ return preprocessedInput_ == null
+ ? com.google.cloud.automl.v1beta1.ExamplePayload.getDefaultInstance()
+ : preprocessedInput_;
+ }
+ /**
+ *
+ *
+ *
+ * The preprocessed example that AutoML actually makes prediction on.
+ * Empty if AutoML does not preprocess the input example.
+ * * For Text Extraction:
+ * If the input is a .pdf file, the OCR'ed text will be provided in
+ * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+ *
+ *
+ * .google.cloud.automl.v1beta1.ExamplePayload preprocessed_input = 3;
+ */
+ public com.google.cloud.automl.v1beta1.ExamplePayloadOrBuilder getPreprocessedInputOrBuilder() {
+ return getPreprocessedInput();
+ }
+
public static final int METADATA_FIELD_NUMBER = 2;
private static final class MetadataDefaultEntryHolder {
@@ -356,6 +427,9 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
}
com.google.protobuf.GeneratedMessageV3.serializeStringMapTo(
output, internalGetMetadata(), MetadataDefaultEntryHolder.defaultEntry, 2);
+ if (preprocessedInput_ != null) {
+ output.writeMessage(3, getPreprocessedInput());
+ }
unknownFields.writeTo(output);
}
@@ -378,6 +452,9 @@ public int getSerializedSize() {
.build();
size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, metadata__);
}
+ if (preprocessedInput_ != null) {
+ size += com.google.protobuf.CodedOutputStream.computeMessageSize(3, getPreprocessedInput());
+ }
size += unknownFields.getSerializedSize();
memoizedSize = size;
return size;
@@ -395,6 +472,10 @@ public boolean equals(final java.lang.Object obj) {
(com.google.cloud.automl.v1beta1.PredictResponse) obj;
if (!getPayloadList().equals(other.getPayloadList())) return false;
+ if (hasPreprocessedInput() != other.hasPreprocessedInput()) return false;
+ if (hasPreprocessedInput()) {
+ if (!getPreprocessedInput().equals(other.getPreprocessedInput())) return false;
+ }
if (!internalGetMetadata().equals(other.internalGetMetadata())) return false;
if (!unknownFields.equals(other.unknownFields)) return false;
return true;
@@ -411,6 +492,10 @@ public int hashCode() {
hash = (37 * hash) + PAYLOAD_FIELD_NUMBER;
hash = (53 * hash) + getPayloadList().hashCode();
}
+ if (hasPreprocessedInput()) {
+ hash = (37 * hash) + PREPROCESSED_INPUT_FIELD_NUMBER;
+ hash = (53 * hash) + getPreprocessedInput().hashCode();
+ }
if (!internalGetMetadata().getMap().isEmpty()) {
hash = (37 * hash) + METADATA_FIELD_NUMBER;
hash = (53 * hash) + internalGetMetadata().hashCode();
@@ -519,7 +604,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
*
*
*
- * Response message for [PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict].
+ * Response message for
+ * [PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict].
*
*
* Protobuf type {@code google.cloud.automl.v1beta1.PredictResponse}
@@ -588,6 +674,12 @@ public Builder clear() {
} else {
payloadBuilder_.clear();
}
+ if (preprocessedInputBuilder_ == null) {
+ preprocessedInput_ = null;
+ } else {
+ preprocessedInput_ = null;
+ preprocessedInputBuilder_ = null;
+ }
internalGetMutableMetadata().clear();
return this;
}
@@ -617,6 +709,7 @@ public com.google.cloud.automl.v1beta1.PredictResponse buildPartial() {
com.google.cloud.automl.v1beta1.PredictResponse result =
new com.google.cloud.automl.v1beta1.PredictResponse(this);
int from_bitField0_ = bitField0_;
+ int to_bitField0_ = 0;
if (payloadBuilder_ == null) {
if (((bitField0_ & 0x00000001) != 0)) {
payload_ = java.util.Collections.unmodifiableList(payload_);
@@ -626,8 +719,14 @@ public com.google.cloud.automl.v1beta1.PredictResponse buildPartial() {
} else {
result.payload_ = payloadBuilder_.build();
}
+ if (preprocessedInputBuilder_ == null) {
+ result.preprocessedInput_ = preprocessedInput_;
+ } else {
+ result.preprocessedInput_ = preprocessedInputBuilder_.build();
+ }
result.metadata_ = internalGetMetadata();
result.metadata_.makeImmutable();
+ result.bitField0_ = to_bitField0_;
onBuilt();
return result;
}
@@ -705,6 +804,9 @@ public Builder mergeFrom(com.google.cloud.automl.v1beta1.PredictResponse other)
}
}
}
+ if (other.hasPreprocessedInput()) {
+ mergePreprocessedInput(other.getPreprocessedInput());
+ }
internalGetMutableMetadata().mergeFrom(other.internalGetMetadata());
this.mergeUnknownFields(other.unknownFields);
onChanged();
@@ -1108,6 +1210,224 @@ public com.google.cloud.automl.v1beta1.AnnotationPayload.Builder addPayloadBuild
return payloadBuilder_;
}
+ private com.google.cloud.automl.v1beta1.ExamplePayload preprocessedInput_;
+ private com.google.protobuf.SingleFieldBuilderV3<
+ com.google.cloud.automl.v1beta1.ExamplePayload,
+ com.google.cloud.automl.v1beta1.ExamplePayload.Builder,
+ com.google.cloud.automl.v1beta1.ExamplePayloadOrBuilder>
+ preprocessedInputBuilder_;
+ /**
+ *
+ *
+ *
+ * The preprocessed example that AutoML actually makes prediction on.
+ * Empty if AutoML does not preprocess the input example.
+ * * For Text Extraction:
+ * If the input is a .pdf file, the OCR'ed text will be provided in
+ * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+ *
+ *
+ * .google.cloud.automl.v1beta1.ExamplePayload preprocessed_input = 3;
+ */
+ public boolean hasPreprocessedInput() {
+ return preprocessedInputBuilder_ != null || preprocessedInput_ != null;
+ }
+ /**
+ *
+ *
+ *
+ * The preprocessed example that AutoML actually makes prediction on.
+ * Empty if AutoML does not preprocess the input example.
+ * * For Text Extraction:
+ * If the input is a .pdf file, the OCR'ed text will be provided in
+ * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+ *
+ *
+ * .google.cloud.automl.v1beta1.ExamplePayload preprocessed_input = 3;
+ */
+ public com.google.cloud.automl.v1beta1.ExamplePayload getPreprocessedInput() {
+ if (preprocessedInputBuilder_ == null) {
+ return preprocessedInput_ == null
+ ? com.google.cloud.automl.v1beta1.ExamplePayload.getDefaultInstance()
+ : preprocessedInput_;
+ } else {
+ return preprocessedInputBuilder_.getMessage();
+ }
+ }
+ /**
+ *
+ *
+ *
+ * The preprocessed example that AutoML actually makes prediction on.
+ * Empty if AutoML does not preprocess the input example.
+ * * For Text Extraction:
+ * If the input is a .pdf file, the OCR'ed text will be provided in
+ * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+ *
+ *
+ * .google.cloud.automl.v1beta1.ExamplePayload preprocessed_input = 3;
+ */
+ public Builder setPreprocessedInput(com.google.cloud.automl.v1beta1.ExamplePayload value) {
+ if (preprocessedInputBuilder_ == null) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ preprocessedInput_ = value;
+ onChanged();
+ } else {
+ preprocessedInputBuilder_.setMessage(value);
+ }
+
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * The preprocessed example that AutoML actually makes prediction on.
+ * Empty if AutoML does not preprocess the input example.
+ * * For Text Extraction:
+ * If the input is a .pdf file, the OCR'ed text will be provided in
+ * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+ *
+ *
+ * .google.cloud.automl.v1beta1.ExamplePayload preprocessed_input = 3;
+ */
+ public Builder setPreprocessedInput(
+ com.google.cloud.automl.v1beta1.ExamplePayload.Builder builderForValue) {
+ if (preprocessedInputBuilder_ == null) {
+ preprocessedInput_ = builderForValue.build();
+ onChanged();
+ } else {
+ preprocessedInputBuilder_.setMessage(builderForValue.build());
+ }
+
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * The preprocessed example that AutoML actually makes prediction on.
+ * Empty if AutoML does not preprocess the input example.
+ * * For Text Extraction:
+ * If the input is a .pdf file, the OCR'ed text will be provided in
+ * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+ *
+ *
+ * .google.cloud.automl.v1beta1.ExamplePayload preprocessed_input = 3;
+ */
+ public Builder mergePreprocessedInput(com.google.cloud.automl.v1beta1.ExamplePayload value) {
+ if (preprocessedInputBuilder_ == null) {
+ if (preprocessedInput_ != null) {
+ preprocessedInput_ =
+ com.google.cloud.automl.v1beta1.ExamplePayload.newBuilder(preprocessedInput_)
+ .mergeFrom(value)
+ .buildPartial();
+ } else {
+ preprocessedInput_ = value;
+ }
+ onChanged();
+ } else {
+ preprocessedInputBuilder_.mergeFrom(value);
+ }
+
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * The preprocessed example that AutoML actually makes prediction on.
+ * Empty if AutoML does not preprocess the input example.
+ * * For Text Extraction:
+ * If the input is a .pdf file, the OCR'ed text will be provided in
+ * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+ *
+ *
+ * .google.cloud.automl.v1beta1.ExamplePayload preprocessed_input = 3;
+ */
+ public Builder clearPreprocessedInput() {
+ if (preprocessedInputBuilder_ == null) {
+ preprocessedInput_ = null;
+ onChanged();
+ } else {
+ preprocessedInput_ = null;
+ preprocessedInputBuilder_ = null;
+ }
+
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * The preprocessed example that AutoML actually makes prediction on.
+ * Empty if AutoML does not preprocess the input example.
+ * * For Text Extraction:
+ * If the input is a .pdf file, the OCR'ed text will be provided in
+ * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+ *
+ *
+ * .google.cloud.automl.v1beta1.ExamplePayload preprocessed_input = 3;
+ */
+ public com.google.cloud.automl.v1beta1.ExamplePayload.Builder getPreprocessedInputBuilder() {
+
+ onChanged();
+ return getPreprocessedInputFieldBuilder().getBuilder();
+ }
+ /**
+ *
+ *
+ *
+ * The preprocessed example that AutoML actually makes prediction on.
+ * Empty if AutoML does not preprocess the input example.
+ * * For Text Extraction:
+ * If the input is a .pdf file, the OCR'ed text will be provided in
+ * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+ *
+ *
+ * .google.cloud.automl.v1beta1.ExamplePayload preprocessed_input = 3;
+ */
+ public com.google.cloud.automl.v1beta1.ExamplePayloadOrBuilder getPreprocessedInputOrBuilder() {
+ if (preprocessedInputBuilder_ != null) {
+ return preprocessedInputBuilder_.getMessageOrBuilder();
+ } else {
+ return preprocessedInput_ == null
+ ? com.google.cloud.automl.v1beta1.ExamplePayload.getDefaultInstance()
+ : preprocessedInput_;
+ }
+ }
+ /**
+ *
+ *
+ *
+ * The preprocessed example that AutoML actually makes prediction on.
+ * Empty if AutoML does not preprocess the input example.
+ * * For Text Extraction:
+ * If the input is a .pdf file, the OCR'ed text will be provided in
+ * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+ *
+ *
+ * .google.cloud.automl.v1beta1.ExamplePayload preprocessed_input = 3;
+ */
+ private com.google.protobuf.SingleFieldBuilderV3<
+ com.google.cloud.automl.v1beta1.ExamplePayload,
+ com.google.cloud.automl.v1beta1.ExamplePayload.Builder,
+ com.google.cloud.automl.v1beta1.ExamplePayloadOrBuilder>
+ getPreprocessedInputFieldBuilder() {
+ if (preprocessedInputBuilder_ == null) {
+ preprocessedInputBuilder_ =
+ new com.google.protobuf.SingleFieldBuilderV3<
+ com.google.cloud.automl.v1beta1.ExamplePayload,
+ com.google.cloud.automl.v1beta1.ExamplePayload.Builder,
+ com.google.cloud.automl.v1beta1.ExamplePayloadOrBuilder>(
+ getPreprocessedInput(), getParentForChildren(), isClean());
+ preprocessedInput_ = null;
+ }
+ return preprocessedInputBuilder_;
+ }
+
private com.google.protobuf.MapField metadata_;
private com.google.protobuf.MapField internalGetMetadata() {
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictResponseOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictResponseOrBuilder.java
index 5e616f7133f1..517c501d104e 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictResponseOrBuilder.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictResponseOrBuilder.java
@@ -65,6 +65,49 @@ public interface PredictResponseOrBuilder
*/
com.google.cloud.automl.v1beta1.AnnotationPayloadOrBuilder getPayloadOrBuilder(int index);
+ /**
+ *
+ *
+ *
+ * The preprocessed example that AutoML actually makes prediction on.
+ * Empty if AutoML does not preprocess the input example.
+ * * For Text Extraction:
+ * If the input is a .pdf file, the OCR'ed text will be provided in
+ * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+ *
+ *
+ * .google.cloud.automl.v1beta1.ExamplePayload preprocessed_input = 3;
+ */
+ boolean hasPreprocessedInput();
+ /**
+ *
+ *
+ *
+ * The preprocessed example that AutoML actually makes prediction on.
+ * Empty if AutoML does not preprocess the input example.
+ * * For Text Extraction:
+ * If the input is a .pdf file, the OCR'ed text will be provided in
+ * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+ *
+ *
+ * .google.cloud.automl.v1beta1.ExamplePayload preprocessed_input = 3;
+ */
+ com.google.cloud.automl.v1beta1.ExamplePayload getPreprocessedInput();
+ /**
+ *
+ *
+ *
+ * The preprocessed example that AutoML actually makes prediction on.
+ * Empty if AutoML does not preprocess the input example.
+ * * For Text Extraction:
+ * If the input is a .pdf file, the OCR'ed text will be provided in
+ * [document_text][google.cloud.automl.v1beta1.Document.document_text].
+ *
+ *
+ * .google.cloud.automl.v1beta1.ExamplePayload preprocessed_input = 3;
+ */
+ com.google.cloud.automl.v1beta1.ExamplePayloadOrBuilder getPreprocessedInputOrBuilder();
+
/**
*
*
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceProto.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceProto.java
index 3629e484b030..9094cd586b1a 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceProto.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceProto.java
@@ -55,52 +55,54 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
java.lang.String[] descriptorData = {
"\n4google/cloud/automl/v1beta1/prediction"
+ "_service.proto\022\033google.cloud.automl.v1be"
- + "ta1\032\034google/api/annotations.proto\0324googl"
- + "e/cloud/automl/v1beta1/annotation_payloa"
- + "d.proto\032,google/cloud/automl/v1beta1/dat"
- + "a_items.proto\032$google/cloud/automl/v1bet"
- + "a1/io.proto\032,google/cloud/automl/v1beta1"
- + "/operations.proto\032#google/longrunning/op"
- + "erations.proto\032\027google/api/client.proto\""
+ + "ta1\032\034google/api/annotations.proto\032\027googl"
+ + "e/api/client.proto\0324google/cloud/automl/"
+ + "v1beta1/annotation_payload.proto\032,google"
+ + "/cloud/automl/v1beta1/data_items.proto\032$"
+ + "google/cloud/automl/v1beta1/io.proto\032,go"
+ + "ogle/cloud/automl/v1beta1/operations.pro"
+ + "to\032#google/longrunning/operations.proto\""
+ "\324\001\n\016PredictRequest\022\014\n\004name\030\001 \001(\t\022<\n\007payl"
+ "oad\030\002 \001(\0132+.google.cloud.automl.v1beta1."
+ "ExamplePayload\022G\n\006params\030\003 \003(\01327.google."
+ "cloud.automl.v1beta1.PredictRequest.Para"
+ "msEntry\032-\n\013ParamsEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005v"
- + "alue\030\002 \001(\t:\0028\001\"\321\001\n\017PredictResponse\022?\n\007pa"
+ + "alue\030\002 \001(\t:\0028\001\"\232\002\n\017PredictResponse\022?\n\007pa"
+ "yload\030\001 \003(\0132..google.cloud.automl.v1beta"
- + "1.AnnotationPayload\022L\n\010metadata\030\002 \003(\0132:."
- + "google.cloud.automl.v1beta1.PredictRespo"
- + "nse.MetadataEntry\032/\n\rMetadataEntry\022\013\n\003ke"
- + "y\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001\"\272\002\n\023BatchPred"
- + "ictRequest\022\014\n\004name\030\001 \001(\t\022J\n\014input_config"
- + "\030\003 \001(\01324.google.cloud.automl.v1beta1.Bat"
- + "chPredictInputConfig\022L\n\routput_config\030\004 "
- + "\001(\01325.google.cloud.automl.v1beta1.BatchP"
- + "redictOutputConfig\022L\n\006params\030\005 \003(\0132<.goo"
- + "gle.cloud.automl.v1beta1.BatchPredictReq"
- + "uest.ParamsEntry\032-\n\013ParamsEntry\022\013\n\003key\030\001"
- + " \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001\"\226\001\n\022BatchPredict"
- + "Result\022O\n\010metadata\030\001 \003(\0132=.google.cloud."
- + "automl.v1beta1.BatchPredictResult.Metada"
- + "taEntry\032/\n\rMetadataEntry\022\013\n\003key\030\001 \001(\t\022\r\n"
- + "\005value\030\002 \001(\t:\0028\0012\264\003\n\021PredictionService\022\250"
- + "\001\n\007Predict\022+.google.cloud.automl.v1beta1"
- + ".PredictRequest\032,.google.cloud.automl.v1"
- + "beta1.PredictResponse\"B\202\323\344\223\002<\"7/v1beta1/"
- + "{name=projects/*/locations/*/models/*}:p"
- + "redict:\001*\022\250\001\n\014BatchPredict\0220.google.clou"
- + "d.automl.v1beta1.BatchPredictRequest\032\035.g"
- + "oogle.longrunning.Operation\"G\202\323\344\223\002A\"
- * Optional. The format of [content][google.cloud.automl.v1beta1.TextSnippet.content]. Currently the only two allowed
- * values are "text/html" and "text/plain". If left blank, the format is
- * automatically determined from the type of the uploaded [content][google.cloud.automl.v1beta1.TextSnippet.content].
+ * Optional. The format of
+ * [content][google.cloud.automl.v1beta1.TextSnippet.content]. Currently the
+ * only two allowed values are "text/html" and "text/plain". If left blank,
+ * the format is automatically determined from the type of the uploaded
+ * [content][google.cloud.automl.v1beta1.TextSnippet.content].
*
*
* string mime_type = 2;
@@ -180,9 +182,11 @@ public java.lang.String getMimeType() {
*
*
*
- * Optional. The format of [content][google.cloud.automl.v1beta1.TextSnippet.content]. Currently the only two allowed
- * values are "text/html" and "text/plain". If left blank, the format is
- * automatically determined from the type of the uploaded [content][google.cloud.automl.v1beta1.TextSnippet.content].
+ * Optional. The format of
+ * [content][google.cloud.automl.v1beta1.TextSnippet.content]. Currently the
+ * only two allowed values are "text/html" and "text/plain". If left blank,
+ * the format is automatically determined from the type of the uploaded
+ * [content][google.cloud.automl.v1beta1.TextSnippet.content].
*
*
* string mime_type = 2;
@@ -694,9 +698,11 @@ public Builder setContentBytes(com.google.protobuf.ByteString value) {
*
*
*
- * Optional. The format of [content][google.cloud.automl.v1beta1.TextSnippet.content]. Currently the only two allowed
- * values are "text/html" and "text/plain". If left blank, the format is
- * automatically determined from the type of the uploaded [content][google.cloud.automl.v1beta1.TextSnippet.content].
+ * Optional. The format of
+ * [content][google.cloud.automl.v1beta1.TextSnippet.content]. Currently the
+ * only two allowed values are "text/html" and "text/plain". If left blank,
+ * the format is automatically determined from the type of the uploaded
+ * [content][google.cloud.automl.v1beta1.TextSnippet.content].
*
*
* string mime_type = 2;
@@ -716,9 +722,11 @@ public java.lang.String getMimeType() {
*
*
*
- * Optional. The format of [content][google.cloud.automl.v1beta1.TextSnippet.content]. Currently the only two allowed
- * values are "text/html" and "text/plain". If left blank, the format is
- * automatically determined from the type of the uploaded [content][google.cloud.automl.v1beta1.TextSnippet.content].
+ * Optional. The format of
+ * [content][google.cloud.automl.v1beta1.TextSnippet.content]. Currently the
+ * only two allowed values are "text/html" and "text/plain". If left blank,
+ * the format is automatically determined from the type of the uploaded
+ * [content][google.cloud.automl.v1beta1.TextSnippet.content].
*
*
* string mime_type = 2;
@@ -738,9 +746,11 @@ public com.google.protobuf.ByteString getMimeTypeBytes() {
*
*
*
- * Optional. The format of [content][google.cloud.automl.v1beta1.TextSnippet.content]. Currently the only two allowed
- * values are "text/html" and "text/plain". If left blank, the format is
- * automatically determined from the type of the uploaded [content][google.cloud.automl.v1beta1.TextSnippet.content].
+ * Optional. The format of
+ * [content][google.cloud.automl.v1beta1.TextSnippet.content]. Currently the
+ * only two allowed values are "text/html" and "text/plain". If left blank,
+ * the format is automatically determined from the type of the uploaded
+ * [content][google.cloud.automl.v1beta1.TextSnippet.content].
*
*
* string mime_type = 2;
@@ -758,9 +768,11 @@ public Builder setMimeType(java.lang.String value) {
*
*
*
- * Optional. The format of [content][google.cloud.automl.v1beta1.TextSnippet.content]. Currently the only two allowed
- * values are "text/html" and "text/plain". If left blank, the format is
- * automatically determined from the type of the uploaded [content][google.cloud.automl.v1beta1.TextSnippet.content].
+ * Optional. The format of
+ * [content][google.cloud.automl.v1beta1.TextSnippet.content]. Currently the
+ * only two allowed values are "text/html" and "text/plain". If left blank,
+ * the format is automatically determined from the type of the uploaded
+ * [content][google.cloud.automl.v1beta1.TextSnippet.content].
*
*
* string mime_type = 2;
@@ -775,9 +787,11 @@ public Builder clearMimeType() {
*
*
*
- * Optional. The format of [content][google.cloud.automl.v1beta1.TextSnippet.content]. Currently the only two allowed
- * values are "text/html" and "text/plain". If left blank, the format is
- * automatically determined from the type of the uploaded [content][google.cloud.automl.v1beta1.TextSnippet.content].
+ * Optional. The format of
+ * [content][google.cloud.automl.v1beta1.TextSnippet.content]. Currently the
+ * only two allowed values are "text/html" and "text/plain". If left blank,
+ * the format is automatically determined from the type of the uploaded
+ * [content][google.cloud.automl.v1beta1.TextSnippet.content].
*
*
* string mime_type = 2;
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSnippetOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSnippetOrBuilder.java
index 1ef5984df35b..786549431755 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSnippetOrBuilder.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSnippetOrBuilder.java
@@ -35,9 +35,11 @@ public interface TextSnippetOrBuilder
*
*
*
- * Optional. The format of [content][google.cloud.automl.v1beta1.TextSnippet.content]. Currently the only two allowed
- * values are "text/html" and "text/plain". If left blank, the format is
- * automatically determined from the type of the uploaded [content][google.cloud.automl.v1beta1.TextSnippet.content].
+ * Optional. The format of
+ * [content][google.cloud.automl.v1beta1.TextSnippet.content]. Currently the
+ * only two allowed values are "text/html" and "text/plain". If left blank,
+ * the format is automatically determined from the type of the uploaded
+ * [content][google.cloud.automl.v1beta1.TextSnippet.content].
*
*
* string mime_type = 2;
@@ -47,9 +49,11 @@ public interface TextSnippetOrBuilder
*
*
*
- * Optional. The format of [content][google.cloud.automl.v1beta1.TextSnippet.content]. Currently the only two allowed
- * values are "text/html" and "text/plain". If left blank, the format is
- * automatically determined from the type of the uploaded [content][google.cloud.automl.v1beta1.TextSnippet.content].
+ * Optional. The format of
+ * [content][google.cloud.automl.v1beta1.TextSnippet.content]. Currently the
+ * only two allowed values are "text/html" and "text/plain". If left blank,
+ * the format is automatically determined from the type of the uploaded
+ * [content][google.cloud.automl.v1beta1.TextSnippet.content].
*
*
* string mime_type = 2;
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/data_items.proto b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/data_items.proto
index fec75d3bbd73..fdbea7042d84 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/data_items.proto
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/data_items.proto
@@ -17,11 +17,13 @@ syntax = "proto3";
package google.cloud.automl.v1beta1;
+import "google/api/annotations.proto";
+import "google/cloud/automl/v1beta1/geometry.proto";
import "google/cloud/automl/v1beta1/io.proto";
+import "google/cloud/automl/v1beta1/text_segment.proto";
import "google/protobuf/any.proto";
import "google/protobuf/duration.proto";
import "google/protobuf/struct.proto";
-import "google/api/annotations.proto";
option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl";
option java_multiple_files = true;
@@ -56,19 +58,135 @@ message TextSnippet {
// characters long.
string content = 1;
- // Optional. The format of [content][google.cloud.automl.v1beta1.TextSnippet.content]. Currently the only two allowed
- // values are "text/html" and "text/plain". If left blank, the format is
- // automatically determined from the type of the uploaded [content][google.cloud.automl.v1beta1.TextSnippet.content].
+ // Optional. The format of
+ // [content][google.cloud.automl.v1beta1.TextSnippet.content]. Currently the
+ // only two allowed values are "text/html" and "text/plain". If left blank,
+ // the format is automatically determined from the type of the uploaded
+ // [content][google.cloud.automl.v1beta1.TextSnippet.content].
string mime_type = 2;
// Output only. HTTP URI where you can download the content.
string content_uri = 4;
}
+// Message that describes dimension of a document.
+message DocumentDimensions {
+ // Unit of the document dimension.
+ enum DocumentDimensionUnit {
+ // Should not be used.
+ DOCUMENT_DIMENSION_UNIT_UNSPECIFIED = 0;
+
+ // Document dimension is measured in inches.
+ INCH = 1;
+
+ // Document dimension is measured in centimeters.
+ CENTIMETER = 2;
+
+ // Document dimension is measured in points. 72 points = 1 inch.
+ POINT = 3;
+ }
+
+ // Unit of the dimension.
+ DocumentDimensionUnit unit = 1;
+
+ // Width value of the document, works together with the unit.
+ float width = 2;
+
+ // Height value of the document, works together with the unit.
+ float height = 3;
+}
+
// A structured text document e.g. a PDF.
message Document {
+ // Describes the layout information of a
+ // [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] in
+ // the document.
+ message Layout {
+ // The type of TextSegment in the context of the original document.
+ enum TextSegmentType {
+ // Should not be used.
+ TEXT_SEGMENT_TYPE_UNSPECIFIED = 0;
+
+ // The text segment is a token. e.g. word.
+ TOKEN = 1;
+
+ // The text segment is a paragraph.
+ PARAGRAPH = 2;
+
+ // The text segment is a form field.
+ FORM_FIELD = 3;
+
+ // The text segment is the name part of a form field. It will be treated
+ // as child of another FORM_FIELD TextSegment if its span is subspan of
+ // another TextSegment with type FORM_FIELD.
+ FORM_FIELD_NAME = 4;
+
+ // The text segment is the text content part of a form field. It will be
+ // treated as child of another FORM_FIELD TextSegment if its span is
+ // subspan of another TextSegment with type FORM_FIELD.
+ FORM_FIELD_CONTENTS = 5;
+
+ // The text segment is a whole table, including headers, and all rows.
+ TABLE = 6;
+
+ // The text segment is a table's headers. It will be treated as child of
+ // another TABLE TextSegment if its span is subspan of another TextSegment
+ // with type TABLE.
+ TABLE_HEADER = 7;
+
+ // The text segment is a row in table. It will be treated as child of
+ // another TABLE TextSegment if its span is subspan of another TextSegment
+ // with type TABLE.
+ TABLE_ROW = 8;
+
+ // The text segment is a cell in table. It will be treated as child of
+ // another TABLE_ROW TextSegment if its span is subspan of another
+ // TextSegment with type TABLE_ROW.
+ TABLE_CELL = 9;
+ }
+
+ // Text Segment that represents a segment in
+ // [document_text][google.cloud.automl.v1beta1.Document.document_text].
+ TextSegment text_segment = 1;
+
+ // Page number of the
+ // [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment]
+ // in the original document, starts from 1.
+ int32 page_number = 2;
+
+ // The position of the
+ // [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment]
+ // in the page. Contains exactly 4
+ //
+ // [normalized_vertices][google.cloud.automl.v1beta1.BoundingPoly.normalized_vertices]
+ // and they are connected by edges in the order provided, which will
+ // represent a rectangle parallel to the frame. The
+ // [NormalizedVertex-s][google.cloud.automl.v1beta1.NormalizedVertex] are
+ // relative to the page.
+ // Coordinates are based on top-left as point (0,0).
+ BoundingPoly bounding_poly = 3;
+
+ // The type of the
+ // [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment]
+ // in document.
+ TextSegmentType text_segment_type = 4;
+ }
+
// An input config specifying the content of the document.
DocumentInputConfig input_config = 1;
+
+ // The plain text version of this document.
+ TextSnippet document_text = 2;
+
+ // Describes the layout of the document.
+ // Sorted by [page_number][].
+ repeated Layout layout = 3;
+
+ // The dimensions of the page in the document.
+ DocumentDimensions document_dimensions = 4;
+
+ // Number of pages in the document.
+ int32 page_count = 5;
}
// A representation of a row in a relational table.
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/io.proto b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/io.proto
index c08edc277474..6f007f02a10d 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/io.proto
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/io.proto
@@ -140,7 +140,8 @@ option ruby_package = "Google::Cloud::AutoML::V1beta1";
// CSV file(s) with each line in format:
// ML_USE,GCS_FILE_PATH
// GCS_FILE_PATH leads to a .JSONL (that is, JSON Lines) file which
-// either imports text in-line or as documents.
+// either imports text in-line or as documents. Any given
+// .JSONL file must be 100MB or smaller.
// The in-line .JSONL file contains, per line, a proto that wraps a
// TextSnippet proto (in json representation) followed by one or more
// AnnotationPayload protos (called annotations), which have
@@ -148,12 +149,16 @@ option ruby_package = "Google::Cloud::AutoML::V1beta1";
// is expected to be annotated exhaustively, for example, if you look
// for animals and text contains "dolphin" that is not labeled, then
// "dolphin" is assumed to not be an animal. Any given text snippet
-// content must have 30,000 characters or less, and also be UTF-8 NFC
-// encoded (ASCII already is). The document .JSONL file contains, per line, a proto that wraps a
-// Document proto with input_config set. Only PDF documents are
-// supported now, and each document may be up to 2MB large. Currently
-// annotations on documents cannot be specified at import. Any given
-// .JSONL file must be 100MB or smaller.
+// content must be 10KB or smaller, and also be UTF-8 NFC encoded
+// (ASCII already is).
+// The document .JSONL file contains, per line, a proto that wraps a
+// Document proto. The Document proto must have either document_text
+// or input_config set. In document_text case, the Document proto may
+// also contain the spatial information of the document, including
+// layout, document dimension and page number. In input_config case,
+// only PDF documents are supported now, and each document may be up
+// to 2MB large. Currently, annotations on documents cannot be
+// specified at import.
// Three sample CSV rows:
// TRAIN,gs://folder/file1.jsonl
// VALIDATE,gs://folder/file2.jsonl
@@ -162,27 +167,61 @@ option ruby_package = "Google::Cloud::AutoML::V1beta1";
// with artificial line breaks, but the only actual line break is
// denoted by \n).:
// {
-// "text_snippet": {
-// "content": "dog car cat"
-// } "annotations": [
-// {
-// "display_name": "animal",
-// "text_extraction": {
-// "text_segment": {"start_offset": 0, "end_offset": 3}
+// "document": {
+// "document_text": {"content": "dog cat"}
+// "layout": [
+// {
+// "text_segment": {
+// "start_offset": 0,
+// "end_offset": 3,
+// },
+// "page_number": 1,
+// "bounding_poly": {
+// "normalized_vertices": [
+// {"x": 0.1, "y": 0.1},
+// {"x": 0.1, "y": 0.3},
+// {"x": 0.3, "y": 0.3},
+// {"x": 0.3, "y": 0.1},
+// ],
+// },
+// "text_segment_type": TOKEN,
+// },
+// {
+// "text_segment": {
+// "start_offset": 4,
+// "end_offset": 7,
+// },
+// "page_number": 1,
+// "bounding_poly": {
+// "normalized_vertices": [
+// {"x": 0.4, "y": 0.1},
+// {"x": 0.4, "y": 0.3},
+// {"x": 0.8, "y": 0.3},
+// {"x": 0.8, "y": 0.1},
+// ],
+// },
+// "text_segment_type": TOKEN,
// }
-// },
+//
+// ],
+// "document_dimensions": {
+// "width": 8.27,
+// "height": 11.69,
+// "unit": INCH,
+// }
+// "page_count": 1,
+// },
+// "annotations": [
// {
-// "display_name": "vehicle",
-// "text_extraction": {
-// "text_segment": {"start_offset": 4, "end_offset": 7}
-// }
+// "display_name": "animal",
+// "text_extraction": {"text_segment": {"start_offset": 0,
+// "end_offset": 3}}
// },
// {
// "display_name": "animal",
-// "text_extraction": {
-// "text_segment": {"start_offset": 8, "end_offset": 11}
-// }
-// },
+// "text_extraction": {"text_segment": {"start_offset": 4,
+// "end_offset": 7}}
+// }
// ],
// }\n
// {
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/prediction_service.proto b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/prediction_service.proto
index 243849213e38..57f1b794e716 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/prediction_service.proto
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/prediction_service.proto
@@ -18,12 +18,12 @@ syntax = "proto3";
package google.cloud.automl.v1beta1;
import "google/api/annotations.proto";
+import "google/api/client.proto";
import "google/cloud/automl/v1beta1/annotation_payload.proto";
import "google/cloud/automl/v1beta1/data_items.proto";
import "google/cloud/automl/v1beta1/io.proto";
import "google/cloud/automl/v1beta1/operations.proto";
import "google/longrunning/operations.proto";
-import "google/api/client.proto";
option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl";
option java_multiple_files = true;
@@ -38,7 +38,8 @@ option ruby_package = "Google::Cloud::AutoML::V1beta1";
// snake_case or kebab-case, either of those cases is accepted.
service PredictionService {
option (google.api.default_host) = "automl.googleapis.com";
- option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+ option (google.api.oauth_scopes) =
+ "https://www.googleapis.com/auth/cloud-platform";
// Perform an online prediction. The prediction result will be directly
// returned in the response.
@@ -66,12 +67,14 @@ service PredictionService {
};
}
- // Perform a batch prediction. Unlike the online [Predict][google.cloud.automl.v1beta1.PredictionService.Predict], batch
+ // Perform a batch prediction. Unlike the online
+ // [Predict][google.cloud.automl.v1beta1.PredictionService.Predict], batch
// prediction result won't be immediately available in the response. Instead,
// a long running operation object is returned. User can poll the operation
// result via [GetOperation][google.longrunning.Operations.GetOperation]
- // method. Once the operation is done, [BatchPredictResult][google.cloud.automl.v1beta1.BatchPredictResult] is returned in
- // the [response][google.longrunning.Operation.response] field.
+ // method. Once the operation is done,
+ // [BatchPredictResult][google.cloud.automl.v1beta1.BatchPredictResult] is
+ // returned in the [response][google.longrunning.Operation.response] field.
// Available for following ML problems:
// * Image Classification
// * Image Object Detection
@@ -86,7 +89,8 @@ service PredictionService {
}
}
-// Request message for [PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict].
+// Request message for
+// [PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict].
message PredictRequest {
// Name of the model requested to serve the prediction.
string name = 1;
@@ -122,12 +126,20 @@ message PredictRequest {
map params = 3;
}
-// Response message for [PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict].
+// Response message for
+// [PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict].
message PredictResponse {
// Prediction result.
// Translation and Text Sentiment will return precisely one payload.
repeated AnnotationPayload payload = 1;
+ // The preprocessed example that AutoML actually makes prediction on.
+ // Empty if AutoML does not preprocess the input example.
+ // * For Text Extraction:
+ // If the input is a .pdf file, the OCR'ed text will be provided in
+ // [document_text][google.cloud.automl.v1beta1.Document.document_text].
+ ExamplePayload preprocessed_input = 3;
+
// Additional domain-specific prediction response metadata.
//
// * For Image Object Detection:
@@ -146,7 +158,8 @@ message PredictResponse {
map metadata = 2;
}
-// Request message for [PredictionService.BatchPredict][google.cloud.automl.v1beta1.PredictionService.BatchPredict].
+// Request message for
+// [PredictionService.BatchPredict][google.cloud.automl.v1beta1.PredictionService.BatchPredict].
message BatchPredictRequest {
// Name of the model requested to serve the batch prediction.
string name = 1;
@@ -226,7 +239,8 @@ message BatchPredictRequest {
// Result of the Batch Predict. This message is returned in
// [response][google.longrunning.Operation.response] of the operation returned
-// by the [PredictionService.BatchPredict][google.cloud.automl.v1beta1.PredictionService.BatchPredict].
+// by the
+// [PredictionService.BatchPredict][google.cloud.automl.v1beta1.PredictionService.BatchPredict].
message BatchPredictResult {
// Additional domain-specific prediction response metadata.
//
diff --git a/google-cloud-clients/google-cloud-automl/synth.metadata b/google-cloud-clients/google-cloud-automl/synth.metadata
index 3cb2a3528a5c..9bf8c4ca388a 100644
--- a/google-cloud-clients/google-cloud-automl/synth.metadata
+++ b/google-cloud-clients/google-cloud-automl/synth.metadata
@@ -1,5 +1,5 @@
{
- "updateTime": "2019-08-10T07:34:50.395372Z",
+ "updateTime": "2019-08-16T07:34:42.877845Z",
"sources": [
{
"generator": {
@@ -12,8 +12,8 @@
"git": {
"name": "googleapis",
"remote": "https://github.com/googleapis/googleapis.git",
- "sha": "2a2c5518f64010c4e458afc818e57ed24fecdf6d",
- "internalRef": "262646243"
+ "sha": "2a02e33c79cbf23d316c57e1c78f915e1d905eee",
+ "internalRef": "263682410"
}
}
],