docs: fix docstring formatting

grpc-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/AutoMlGrpc.java

@@ -36,6 +36,7 @@
 @javax.annotation.Generated(
     value = "by gRPC proto compiler",
     comments = "Source: google/cloud/automl/v1/service.proto")
+@io.grpc.stub.annotations.GrpcGenerated
 public final class AutoMlGrpc {
 
   private AutoMlGrpc() {}

grpc-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/PredictionServiceGrpc.java

@@ -29,6 +29,7 @@
 @javax.annotation.Generated(
     value = "by gRPC proto compiler",
     comments = "Source: google/cloud/automl/v1/prediction_service.proto")
+@io.grpc.stub.annotations.GrpcGenerated
 public final class PredictionServiceGrpc {
 
   private PredictionServiceGrpc() {}

grpc-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AutoMlGrpc.java

@@ -36,6 +36,7 @@
 @javax.annotation.Generated(
     value = "by gRPC proto compiler",
     comments = "Source: google/cloud/automl/v1beta1/service.proto")
+@io.grpc.stub.annotations.GrpcGenerated
 public final class AutoMlGrpc {
 
   private AutoMlGrpc() {}

grpc-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceGrpc.java

@@ -29,6 +29,7 @@
 @javax.annotation.Generated(
     value = "by gRPC proto compiler",
     comments = "Source: google/cloud/automl/v1beta1/prediction_service.proto")
+@io.grpc.stub.annotations.GrpcGenerated
 public final class PredictionServiceGrpc {
 
   private PredictionServiceGrpc() {}

proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ListDatasetsRequest.java

@@ -193,9 +193,10 @@ public com.google.protobuf.ByteString getParentBytes() {
    * <pre>
    * An expression for filtering the results of the request.
    *   * `dataset_metadata` - for existence of the case (e.g.
-   *             image_classification_dataset_metadata:*). Some examples of using the filter are:
+   *             `image_classification_dataset_metadata:*`). Some examples of
+   *             using the filter are:
    *   * `translation_dataset_metadata:*` --&gt; The dataset has
-   *                                          translation_dataset_metadata.
+   *                                          `translation_dataset_metadata`.
    * </pre>
    *
    * <code>string filter = 3;</code>
@@ -220,9 +221,10 @@ public java.lang.String getFilter() {
    * <pre>
    * An expression for filtering the results of the request.
    *   * `dataset_metadata` - for existence of the case (e.g.
-   *             image_classification_dataset_metadata:*). Some examples of using the filter are:
+   *             `image_classification_dataset_metadata:*`). Some examples of
+   *             using the filter are:
    *   * `translation_dataset_metadata:*` --&gt; The dataset has
-   *                                          translation_dataset_metadata.
+   *                                          `translation_dataset_metadata`.
    * </pre>
    *
    * <code>string filter = 3;</code>
@@ -802,9 +804,10 @@ public Builder setParentBytes(com.google.protobuf.ByteString value) {
      * <pre>
      * An expression for filtering the results of the request.
      *   * `dataset_metadata` - for existence of the case (e.g.
-     *             image_classification_dataset_metadata:*). Some examples of using the filter are:
+     *             `image_classification_dataset_metadata:*`). Some examples of
+     *             using the filter are:
      *   * `translation_dataset_metadata:*` --&gt; The dataset has
-     *                                          translation_dataset_metadata.
+     *                                          `translation_dataset_metadata`.
      * </pre>
      *
      * <code>string filter = 3;</code>
@@ -828,9 +831,10 @@ public java.lang.String getFilter() {
      * <pre>
      * An expression for filtering the results of the request.
      *   * `dataset_metadata` - for existence of the case (e.g.
-     *             image_classification_dataset_metadata:*). Some examples of using the filter are:
+     *             `image_classification_dataset_metadata:*`). Some examples of
+     *             using the filter are:
      *   * `translation_dataset_metadata:*` --&gt; The dataset has
-     *                                          translation_dataset_metadata.
+     *                                          `translation_dataset_metadata`.
      * </pre>
      *
      * <code>string filter = 3;</code>
@@ -854,9 +858,10 @@ public com.google.protobuf.ByteString getFilterBytes() {
      * <pre>
      * An expression for filtering the results of the request.
      *   * `dataset_metadata` - for existence of the case (e.g.
-     *             image_classification_dataset_metadata:*). Some examples of using the filter are:
+     *             `image_classification_dataset_metadata:*`). Some examples of
+     *             using the filter are:
      *   * `translation_dataset_metadata:*` --&gt; The dataset has
-     *                                          translation_dataset_metadata.
+     *                                          `translation_dataset_metadata`.
      * </pre>
      *
      * <code>string filter = 3;</code>
@@ -879,9 +884,10 @@ public Builder setFilter(java.lang.String value) {
      * <pre>
      * An expression for filtering the results of the request.
      *   * `dataset_metadata` - for existence of the case (e.g.
-     *             image_classification_dataset_metadata:*). Some examples of using the filter are:
+     *             `image_classification_dataset_metadata:*`). Some examples of
+     *             using the filter are:
      *   * `translation_dataset_metadata:*` --&gt; The dataset has
-     *                                          translation_dataset_metadata.
+     *                                          `translation_dataset_metadata`.
      * </pre>
      *
      * <code>string filter = 3;</code>
@@ -900,9 +906,10 @@ public Builder clearFilter() {
      * <pre>
      * An expression for filtering the results of the request.
      *   * `dataset_metadata` - for existence of the case (e.g.
-     *             image_classification_dataset_metadata:*). Some examples of using the filter are:
+     *             `image_classification_dataset_metadata:*`). Some examples of
+     *             using the filter are:
      *   * `translation_dataset_metadata:*` --&gt; The dataset has
-     *                                          translation_dataset_metadata.
+     *                                          `translation_dataset_metadata`.
      * </pre>
      *
      * <code>string filter = 3;</code>

proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ListDatasetsRequestOrBuilder.java

@@ -58,9 +58,10 @@ public interface ListDatasetsRequestOrBuilder
    * <pre>
    * An expression for filtering the results of the request.
    *   * `dataset_metadata` - for existence of the case (e.g.
-   *             image_classification_dataset_metadata:*). Some examples of using the filter are:
+   *             `image_classification_dataset_metadata:*`). Some examples of
+   *             using the filter are:
    *   * `translation_dataset_metadata:*` --&gt; The dataset has
-   *                                          translation_dataset_metadata.
+   *                                          `translation_dataset_metadata`.
    * </pre>
    *
    * <code>string filter = 3;</code>
@@ -74,9 +75,10 @@ public interface ListDatasetsRequestOrBuilder
    * <pre>
    * An expression for filtering the results of the request.
    *   * `dataset_metadata` - for existence of the case (e.g.
-   *             image_classification_dataset_metadata:*). Some examples of using the filter are:
+   *             `image_classification_dataset_metadata:*`). Some examples of
+   *             using the filter are:
    *   * `translation_dataset_metadata:*` --&gt; The dataset has
-   *                                          translation_dataset_metadata.
+   *                                          `translation_dataset_metadata`.
    * </pre>
    *
    * <code>string filter = 3;</code>

proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ListModelsRequest.java

@@ -193,10 +193,10 @@ public com.google.protobuf.ByteString getParentBytes() {
    * <pre>
    * An expression for filtering the results of the request.
    *   * `model_metadata` - for existence of the case (e.g.
-   *             video_classification_model_metadata:*).
+   *             `video_classification_model_metadata:*`).
    *   * `dataset_id` - for = or !=. Some examples of using the filter are:
    *   * `image_classification_model_metadata:*` --&gt; The model has
-   *                                        image_classification_model_metadata.
+   *                                      `image_classification_model_metadata`.
    *   * `dataset_id=5` --&gt; The model was created from a dataset with ID 5.
    * </pre>
    *
@@ -222,10 +222,10 @@ public java.lang.String getFilter() {
    * <pre>
    * An expression for filtering the results of the request.
    *   * `model_metadata` - for existence of the case (e.g.
-   *             video_classification_model_metadata:*).
+   *             `video_classification_model_metadata:*`).
    *   * `dataset_id` - for = or !=. Some examples of using the filter are:
    *   * `image_classification_model_metadata:*` --&gt; The model has
-   *                                        image_classification_model_metadata.
+   *                                      `image_classification_model_metadata`.
    *   * `dataset_id=5` --&gt; The model was created from a dataset with ID 5.
    * </pre>
    *
@@ -805,10 +805,10 @@ public Builder setParentBytes(com.google.protobuf.ByteString value) {
      * <pre>
      * An expression for filtering the results of the request.
      *   * `model_metadata` - for existence of the case (e.g.
-     *             video_classification_model_metadata:*).
+     *             `video_classification_model_metadata:*`).
      *   * `dataset_id` - for = or !=. Some examples of using the filter are:
      *   * `image_classification_model_metadata:*` --&gt; The model has
-     *                                        image_classification_model_metadata.
+     *                                      `image_classification_model_metadata`.
      *   * `dataset_id=5` --&gt; The model was created from a dataset with ID 5.
      * </pre>
      *
@@ -833,10 +833,10 @@ public java.lang.String getFilter() {
      * <pre>
      * An expression for filtering the results of the request.
      *   * `model_metadata` - for existence of the case (e.g.
-     *             video_classification_model_metadata:*).
+     *             `video_classification_model_metadata:*`).
      *   * `dataset_id` - for = or !=. Some examples of using the filter are:
      *   * `image_classification_model_metadata:*` --&gt; The model has
-     *                                        image_classification_model_metadata.
+     *                                      `image_classification_model_metadata`.
      *   * `dataset_id=5` --&gt; The model was created from a dataset with ID 5.
      * </pre>
      *
@@ -861,10 +861,10 @@ public com.google.protobuf.ByteString getFilterBytes() {
      * <pre>
      * An expression for filtering the results of the request.
      *   * `model_metadata` - for existence of the case (e.g.
-     *             video_classification_model_metadata:*).
+     *             `video_classification_model_metadata:*`).
      *   * `dataset_id` - for = or !=. Some examples of using the filter are:
      *   * `image_classification_model_metadata:*` --&gt; The model has
-     *                                        image_classification_model_metadata.
+     *                                      `image_classification_model_metadata`.
      *   * `dataset_id=5` --&gt; The model was created from a dataset with ID 5.
      * </pre>
      *
@@ -888,10 +888,10 @@ public Builder setFilter(java.lang.String value) {
      * <pre>
      * An expression for filtering the results of the request.
      *   * `model_metadata` - for existence of the case (e.g.
-     *             video_classification_model_metadata:*).
+     *             `video_classification_model_metadata:*`).
      *   * `dataset_id` - for = or !=. Some examples of using the filter are:
      *   * `image_classification_model_metadata:*` --&gt; The model has
-     *                                        image_classification_model_metadata.
+     *                                      `image_classification_model_metadata`.
      *   * `dataset_id=5` --&gt; The model was created from a dataset with ID 5.
      * </pre>
      *
@@ -911,10 +911,10 @@ public Builder clearFilter() {
      * <pre>
      * An expression for filtering the results of the request.
      *   * `model_metadata` - for existence of the case (e.g.
-     *             video_classification_model_metadata:*).
+     *             `video_classification_model_metadata:*`).
      *   * `dataset_id` - for = or !=. Some examples of using the filter are:
      *   * `image_classification_model_metadata:*` --&gt; The model has
-     *                                        image_classification_model_metadata.
+     *                                      `image_classification_model_metadata`.
      *   * `dataset_id=5` --&gt; The model was created from a dataset with ID 5.
      * </pre>
      *

proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ListModelsRequestOrBuilder.java

@@ -58,10 +58,10 @@ public interface ListModelsRequestOrBuilder
    * <pre>
    * An expression for filtering the results of the request.
    *   * `model_metadata` - for existence of the case (e.g.
-   *             video_classification_model_metadata:*).
+   *             `video_classification_model_metadata:*`).
    *   * `dataset_id` - for = or !=. Some examples of using the filter are:
    *   * `image_classification_model_metadata:*` --&gt; The model has
-   *                                        image_classification_model_metadata.
+   *                                      `image_classification_model_metadata`.
    *   * `dataset_id=5` --&gt; The model was created from a dataset with ID 5.
    * </pre>
    *
@@ -76,10 +76,10 @@ public interface ListModelsRequestOrBuilder
    * <pre>
    * An expression for filtering the results of the request.
    *   * `model_metadata` - for existence of the case (e.g.
-   *             video_classification_model_metadata:*).
+   *             `video_classification_model_metadata:*`).
    *   * `dataset_id` - for = or !=. Some examples of using the filter are:
    *   * `image_classification_model_metadata:*` --&gt; The model has
-   *                                        image_classification_model_metadata.
+   *                                      `image_classification_model_metadata`.
    *   * `dataset_id=5` --&gt; The model was created from a dataset with ID 5.
    * </pre>
    *

proto-google-cloud-automl-v1/src/main/proto/google/cloud/automl/v1/service.proto

@@ -330,10 +330,11 @@ message ListDatasetsRequest {
   // An expression for filtering the results of the request.
   //
   //   * `dataset_metadata` - for existence of the case (e.g.
-  //             image_classification_dataset_metadata:*). Some examples of using the filter are:
+  //             `image_classification_dataset_metadata:*`). Some examples of
+  //             using the filter are:
   //
   //   * `translation_dataset_metadata:*` --> The dataset has
-  //                                          translation_dataset_metadata.
+  //                                          `translation_dataset_metadata`.
   string filter = 3;
 
   // Requested page size. Server may return fewer results than requested.
@@ -456,11 +457,11 @@ message ListModelsRequest {
   // An expression for filtering the results of the request.
   //
   //   * `model_metadata` - for existence of the case (e.g.
-  //             video_classification_model_metadata:*).
+  //             `video_classification_model_metadata:*`).
   //   * `dataset_id` - for = or !=. Some examples of using the filter are:
   //
   //   * `image_classification_model_metadata:*` --> The model has
-  //                                        image_classification_model_metadata.
+  //                                      `image_classification_model_metadata`.
   //   * `dataset_id=5` --> The model was created from a dataset with ID 5.
   string filter = 3;