fix: proto field markdown comment for the display_name field in anno…

…tation_payload.proto to point the correct public v1/ version

fix: Add back java_multiple_files option to the text_sentiment.proto to match with the previous published version of text_sentiment proto
PiperOrigin-RevId: 421849336
Source-Link: googleapis/googleapis@5c24921
Source-Link: googleapis/googleapis-gen@0195e8e
Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiMDE5NWU4ZTQ1ZjQxMjI1ZGRlMTViM2EyNGZlODllZDI3Njg2Y2I2NCJ9

.jsdoc.js

@@ -1,4 +1,4 @@
-// Copyright 2021 Google LLC
+// Copyright 2022 Google LLC
 //
 // Licensed under the Apache License, Version 2.0 (the "License");
 // you may not use this file except in compliance with the License.
@@ -40,7 +40,7 @@ module.exports = {
     includePattern: '\\.js$'
   },
   templates: {
-    copyright: 'Copyright 2021 Google LLC',
+    copyright: 'Copyright 2022 Google LLC',
     includeDate: false,
     sourceFiles: false,
     systemName: '@google-cloud/automl',

protos/google/cloud/automl/v1/annotation_payload.proto

@@ -1,4 +1,4 @@
-// Copyright 2020 Google LLC
+// Copyright 2021 Google LLC
 //
 // Licensed under the Apache License, Version 2.0 (the "License");
 // you may not use this file except in compliance with the License.
@@ -16,13 +16,13 @@ syntax = "proto3";
 
 package google.cloud.automl.v1;
 
+import "google/api/annotations.proto";
 import "google/cloud/automl/v1/classification.proto";
 import "google/cloud/automl/v1/detection.proto";
 import "google/cloud/automl/v1/text_extraction.proto";
 import "google/cloud/automl/v1/text_sentiment.proto";
 import "google/cloud/automl/v1/translation.proto";
 import "google/protobuf/any.proto";
-import "google/api/annotations.proto";
 
 option csharp_namespace = "Google.Cloud.AutoML.V1";
 option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1;automl";

protos/google/cloud/automl/v1/annotation_spec.proto

@@ -1,4 +1,4 @@
-// Copyright 2020 Google LLC
+// Copyright 2021 Google LLC
 //
 // Licensed under the Apache License, Version 2.0 (the "License");
 // you may not use this file except in compliance with the License.
@@ -16,8 +16,8 @@ syntax = "proto3";
 
 package google.cloud.automl.v1;
 
-import "google/api/resource.proto";
 import "google/api/annotations.proto";
+import "google/api/resource.proto";
 
 option csharp_namespace = "Google.Cloud.AutoML.V1";
 option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1;automl";
@@ -35,7 +35,6 @@ message AnnotationSpec {
 
   // Output only. Resource name of the annotation spec.
   // Form:
-  //
   // 'projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/annotationSpecs/{annotation_spec_id}'
   string name = 1;
 

protos/google/cloud/automl/v1/classification.proto

@@ -1,4 +1,4 @@
-// Copyright 2020 Google LLC
+// Copyright 2021 Google LLC
 //
 // Licensed under the Apache License, Version 2.0 (the "License");
 // you may not use this file except in compliance with the License.
@@ -124,15 +124,13 @@ message ClassificationEvaluationMetrics {
 
     // Output only. IDs of the annotation specs used in the confusion matrix.
     // For Tables CLASSIFICATION
-    //
     // [prediction_type][google.cloud.automl.v1p1beta.TablesModelMetadata.prediction_type]
     // only list of [annotation_spec_display_name-s][] is populated.
     repeated string annotation_spec_id = 1;
 
     // Output only. Display name of the annotation specs used in the confusion
     // matrix, as they were at the moment of the evaluation. For Tables
     // CLASSIFICATION
-    //
     // [prediction_type-s][google.cloud.automl.v1p1beta.TablesModelMetadata.prediction_type],
     // distinct values of the target column at the moment of the model
     // evaluation are populated here.

protos/google/cloud/automl/v1/data_items.proto

@@ -1,4 +1,4 @@
-// Copyright 2020 Google LLC
+// Copyright 2021 Google LLC
 //
 // Licensed under the Apache License, Version 2.0 (the "License");
 // you may not use this file except in compliance with the License.
@@ -16,13 +16,13 @@ syntax = "proto3";
 
 package google.cloud.automl.v1;
 
+import "google/api/annotations.proto";
 import "google/cloud/automl/v1/geometry.proto";
 import "google/cloud/automl/v1/io.proto";
 import "google/cloud/automl/v1/text_segment.proto";
 import "google/protobuf/any.proto";
 import "google/protobuf/duration.proto";
 import "google/protobuf/struct.proto";
-import "google/api/annotations.proto";
 
 option csharp_namespace = "Google.Cloud.AutoML.V1";
 option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1;automl";
@@ -146,7 +146,6 @@ message Document {
 
     // The position of the [text_segment][google.cloud.automl.v1.Document.Layout.text_segment] in the page.
     // Contains exactly 4
-    //
     // [normalized_vertices][google.cloud.automl.v1p1beta.BoundingPoly.normalized_vertices]
     // and they are connected by edges in the order provided, which will
     // represent a rectangle parallel to the frame. The

protos/google/cloud/automl/v1/dataset.proto

@@ -1,4 +1,4 @@
-// Copyright 2020 Google LLC
+// Copyright 2021 Google LLC
 //
 // Licensed under the Apache License, Version 2.0 (the "License");
 // you may not use this file except in compliance with the License.
@@ -16,12 +16,12 @@ syntax = "proto3";
 
 package google.cloud.automl.v1;
 
+import "google/api/annotations.proto";
 import "google/api/resource.proto";
 import "google/cloud/automl/v1/image.proto";
 import "google/cloud/automl/v1/text.proto";
 import "google/cloud/automl/v1/translation.proto";
 import "google/protobuf/timestamp.proto";
-import "google/api/annotations.proto";
 
 option csharp_namespace = "Google.Cloud.AutoML.V1";
 option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1;automl";

protos/google/cloud/automl/v1/detection.proto

@@ -1,4 +1,4 @@
-// Copyright 2020 Google LLC
+// Copyright 2021 Google LLC
 //
 // Licensed under the Apache License, Version 2.0 (the "License");
 // you may not use this file except in compliance with the License.
@@ -16,9 +16,9 @@ syntax = "proto3";
 
 package google.cloud.automl.v1;
 
+import "google/api/annotations.proto";
 import "google/cloud/automl/v1/geometry.proto";
 import "google/protobuf/duration.proto";
-import "google/api/annotations.proto";
 
 option csharp_namespace = "Google.Cloud.AutoML.V1";
 option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1;automl";

protos/google/cloud/automl/v1/geometry.proto

@@ -1,4 +1,4 @@
-// Copyright 2020 Google LLC
+// Copyright 2021 Google LLC
 //
 // Licensed under the Apache License, Version 2.0 (the "License");
 // you may not use this file except in compliance with the License.

protos/google/cloud/automl/v1/image.proto

@@ -1,4 +1,4 @@
-// Copyright 2020 Google LLC
+// Copyright 2021 Google LLC
 //
 // Licensed under the Apache License, Version 2.0 (the "License");
 // you may not use this file except in compliance with the License.
@@ -16,11 +16,12 @@ syntax = "proto3";
 
 package google.cloud.automl.v1;
 
+import "google/api/annotations.proto";
+import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/cloud/automl/v1/annotation_spec.proto";
 import "google/cloud/automl/v1/classification.proto";
 import "google/protobuf/timestamp.proto";
-import "google/api/annotations.proto";
 
 option csharp_namespace = "Google.Cloud.AutoML.V1";
 option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1;automl";
@@ -33,7 +34,7 @@ option ruby_package = "Google::Cloud::AutoML::V1";
 // Dataset metadata that is specific to image classification.
 message ImageClassificationDatasetMetadata {
   // Required. Type of the classification problem.
-  ClassificationType classification_type = 1;
+  ClassificationType classification_type = 1 [(google.api.field_behavior) = REQUIRED];
 }
 
 // Dataset metadata specific to image object detection.
@@ -48,9 +49,9 @@ message ImageClassificationModelMetadata {
   // created from scratch. The `base` model must be in the same
   // `project` and `location` as the new model to create, and have the same
   // `model_type`.
-  string base_model_id = 1;
+  string base_model_id = 1 [(google.api.field_behavior) = OPTIONAL];
 
-  // The train budget of creating this model, expressed in milli node
+  // Optional. The train budget of creating this model, expressed in milli node
   // hours i.e. 1,000 value in this field means 1 node hour. The actual
   // `train_cost` will be equal or less than this value. If further model
   // training ceases to provide any improvements, it will stop without using
@@ -64,16 +65,16 @@ message ImageClassificationModelMetadata {
   // `mobile-core-ml-high-accuracy-1`, the train budget must be between 1,000
   // and 100,000 milli node hours, inclusive. The default value is 24, 000 which
   // represents one day in wall time.
-  int64 train_budget_milli_node_hours = 16;
+  int64 train_budget_milli_node_hours = 16 [(google.api.field_behavior) = OPTIONAL];
 
   // Output only. The actual train cost of creating this model, expressed in
   // milli node hours, i.e. 1,000 value in this field means 1 node hour.
   // Guaranteed to not exceed the train budget.
-  int64 train_cost_milli_node_hours = 17;
+  int64 train_cost_milli_node_hours = 17 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. The reason that this create model operation stopped,
   // e.g. `BUDGET_REACHED`, `MODEL_CONVERGED`.
-  string stop_reason = 5;
+  string stop_reason = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Optional. Type of the model. The available values are:
   // *   `cloud` - Model to be used via prediction calls to AutoML API.
@@ -108,16 +109,16 @@ message ImageClassificationModelMetadata {
   //               Core ML afterwards.  Expected to have a higher latency, but
   //               should also have a higher prediction quality than other
   //               models.
-  string model_type = 7;
+  string model_type = 7 [(google.api.field_behavior) = OPTIONAL];
 
   // Output only. An approximate number of online prediction QPS that can
   // be supported by this model per each node on which it is deployed.
-  double node_qps = 13;
+  double node_qps = 13 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. The number of nodes this model is deployed on. A node is an
   // abstraction of a machine resource, which can handle online prediction QPS
   // as given in the node_qps field.
-  int64 node_count = 14;
+  int64 node_count = 14 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
 // Model metadata specific to image object detection.
@@ -145,22 +146,22 @@ message ImageObjectDetectionModelMetadata {
   //               with TensorFlow afterwards.  Expected to have a higher
   //               latency, but should also have a higher prediction quality
   //               than other models.
-  string model_type = 1;
+  string model_type = 1 [(google.api.field_behavior) = OPTIONAL];
 
   // Output only. The number of nodes this model is deployed on. A node is an
   // abstraction of a machine resource, which can handle online prediction QPS
   // as given in the qps_per_node field.
-  int64 node_count = 3;
+  int64 node_count = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. An approximate number of online prediction QPS that can
   // be supported by this model per each node on which it is deployed.
-  double node_qps = 4;
+  double node_qps = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. The reason that this create model operation stopped,
   // e.g. `BUDGET_REACHED`, `MODEL_CONVERGED`.
-  string stop_reason = 5;
+  string stop_reason = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // The train budget of creating this model, expressed in milli node
+  // Optional. The train budget of creating this model, expressed in milli node
   // hours i.e. 1,000 value in this field means 1 node hour. The actual
   // `train_cost` will be equal or less than this value. If further model
   // training ceases to provide any improvements, it will stop without using
@@ -175,32 +176,30 @@ message ImageObjectDetectionModelMetadata {
   // `mobile-core-ml-versatile-1`, `mobile-core-ml-high-accuracy-1`, the train
   // budget must be between 1,000 and 100,000 milli node hours, inclusive.
   // The default value is 24, 000 which represents one day in wall time.
-  int64 train_budget_milli_node_hours = 6;
+  int64 train_budget_milli_node_hours = 6 [(google.api.field_behavior) = OPTIONAL];
 
   // Output only. The actual train cost of creating this model, expressed in
   // milli node hours, i.e. 1,000 value in this field means 1 node hour.
   // Guaranteed to not exceed the train budget.
-  int64 train_cost_milli_node_hours = 7;
+  int64 train_cost_milli_node_hours = 7 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
 // Model deployment metadata specific to Image Classification.
 message ImageClassificationModelDeploymentMetadata {
   // Input only. The number of nodes to deploy the model on. A node is an
   // abstraction of a machine resource, which can handle online prediction QPS
   // as given in the model's
-  //
   // [node_qps][google.cloud.automl.v1.ImageClassificationModelMetadata.node_qps].
   // Must be between 1 and 100, inclusive on both ends.
-  int64 node_count = 1;
+  int64 node_count = 1 [(google.api.field_behavior) = INPUT_ONLY];
 }
 
 // Model deployment metadata specific to Image Object Detection.
 message ImageObjectDetectionModelDeploymentMetadata {
   // Input only. The number of nodes to deploy the model on. A node is an
   // abstraction of a machine resource, which can handle online prediction QPS
   // as given in the model's
-  //
   // [qps_per_node][google.cloud.automl.v1.ImageObjectDetectionModelMetadata.qps_per_node].
   // Must be between 1 and 100, inclusive on both ends.
-  int64 node_count = 1;
+  int64 node_count = 1 [(google.api.field_behavior) = INPUT_ONLY];
 }