docs: fix docstring formatting (#973)

* docs: fix docstring formatting Committer: @parthea PiperOrigin-RevId: 410565213 Source-Link: googleapis/googleapis@35b8704 Source-Link: https://github.com/googleapis/googleapis-gen/commit/16a2cf923b63d5ebce1c8a961d36808487e89114 Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiMTZhMmNmOTIzYjYzZDVlYmNlMWM4YTk2MWQzNjgwODQ4N2U4OTExNCJ9 * 🦉 Updates from OwlBot See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md Co-authored-by: Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com>

Author: gcf-owl-bot[bot]

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;