chore: regenerate aiplatform client (#20933)

Generated in GitHub action: https://togithub.com/googleapis/googleapis/google-api-java-client-services/actions/workflows/codegen.yaml

Author: yoshi-code-bot

clients/google-api-services-aiplatform/v1/2.0.0/README.md

@@ -22,7 +22,7 @@ Add the following lines to your `pom.xml` file:
     <dependency>
       <groupId>com.google.apis</groupId>
       <artifactId>google-api-services-aiplatform</artifactId>
-      <version>v1-rev20240429-2.0.0</version>
+      <version>v1-rev20240501-2.0.0</version>
     </dependency>
   </dependencies>
 </project>
@@ -35,7 +35,7 @@ repositories {
   mavenCentral()
 }
 dependencies {
-  implementation 'com.google.apis:google-api-services-aiplatform:v1-rev20240429-2.0.0'
+  implementation 'com.google.apis:google-api-services-aiplatform:v1-rev20240501-2.0.0'
 }
 ```
 

clients/google-api-services-aiplatform/v1/2.0.0/com/google/api/services/aiplatform/v1/model/GoogleCloudAiplatformV1FindNeighborsRequestQuery.java

@@ -73,6 +73,13 @@ public final class GoogleCloudAiplatformV1FindNeighborsRequestQuery extends com.
   @com.google.api.client.util.Key
   private java.lang.Integer perCrowdingAttributeNeighborCount;
 
+  /**
+   * Optional. Represents RRF algorithm that combines search results.
+   * The value may be {@code null}.
+   */
+  @com.google.api.client.util.Key
+  private GoogleCloudAiplatformV1FindNeighborsRequestQueryRRF rrf;
+
   /**
    * The number of neighbors to find via approximate search before exact reordering is performed. If
    * not set, the default value from scam config is used; if set, this value must be > 0.
@@ -176,6 +183,23 @@ public GoogleCloudAiplatformV1FindNeighborsRequestQuery setPerCrowdingAttributeN
     return this;
   }
 
+  /**
+   * Optional. Represents RRF algorithm that combines search results.
+   * @return value or {@code null} for none
+   */
+  public GoogleCloudAiplatformV1FindNeighborsRequestQueryRRF getRrf() {
+    return rrf;
+  }
+
+  /**
+   * Optional. Represents RRF algorithm that combines search results.
+   * @param rrf rrf or {@code null} for none
+   */
+  public GoogleCloudAiplatformV1FindNeighborsRequestQuery setRrf(GoogleCloudAiplatformV1FindNeighborsRequestQueryRRF rrf) {
+    this.rrf = rrf;
+    return this;
+  }
+
   @Override
   public GoogleCloudAiplatformV1FindNeighborsRequestQuery set(String fieldName, Object value) {
     return (GoogleCloudAiplatformV1FindNeighborsRequestQuery) super.set(fieldName, value);

clients/google-api-services-aiplatform/v1/2.0.0/com/google/api/services/aiplatform/v1/model/GoogleCloudAiplatformV1FindNeighborsRequestQueryRRF.java

@@ -0,0 +1,69 @@
+/*
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
+ * in compliance with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software distributed under the License
+ * is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
+ * or implied. See the License for the specific language governing permissions and limitations under
+ * the License.
+ */
+/*
+ * This code was generated by https://github.com/googleapis/google-api-java-client-services/
+ * Modify at your own risk.
+ */
+
+package com.google.api.services.aiplatform.v1.model;
+
+/**
+ * Parameters for RRF algorithm that combines search results.
+ *
+ * <p> This is the Java data model class that specifies how to parse/serialize into the JSON that is
+ * transmitted over HTTP when working with the Vertex AI API. For a detailed explanation see:
+ * <a href="https://developers.google.com/api-client-library/java/google-http-java-client/json">https://developers.google.com/api-client-library/java/google-http-java-client/json</a>
+ * </p>
+ *
+ * @author Google, Inc.
+ */
+@SuppressWarnings("javadoc")
+public final class GoogleCloudAiplatformV1FindNeighborsRequestQueryRRF extends com.google.api.client.json.GenericJson {
+
+  /**
+   * Required. Users can provide an alpha value to give more weight to dense vs sparse results. For
+   * example, if the alpha is 0, we only return sparse and if the alpha is 1, we only return dense.
+   * The value may be {@code null}.
+   */
+  @com.google.api.client.util.Key
+  private java.lang.Float alpha;
+
+  /**
+   * Required. Users can provide an alpha value to give more weight to dense vs sparse results. For
+   * example, if the alpha is 0, we only return sparse and if the alpha is 1, we only return dense.
+   * @return value or {@code null} for none
+   */
+  public java.lang.Float getAlpha() {
+    return alpha;
+  }
+
+  /**
+   * Required. Users can provide an alpha value to give more weight to dense vs sparse results. For
+   * example, if the alpha is 0, we only return sparse and if the alpha is 1, we only return dense.
+   * @param alpha alpha or {@code null} for none
+   */
+  public GoogleCloudAiplatformV1FindNeighborsRequestQueryRRF setAlpha(java.lang.Float alpha) {
+    this.alpha = alpha;
+    return this;
+  }
+
+  @Override
+  public GoogleCloudAiplatformV1FindNeighborsRequestQueryRRF set(String fieldName, Object value) {
+    return (GoogleCloudAiplatformV1FindNeighborsRequestQueryRRF) super.set(fieldName, value);
+  }
+
+  @Override
+  public GoogleCloudAiplatformV1FindNeighborsRequestQueryRRF clone() {
+    return (GoogleCloudAiplatformV1FindNeighborsRequestQueryRRF) super.clone();
+  }
+
+}

clients/google-api-services-aiplatform/v1/2.0.0/com/google/api/services/aiplatform/v1/model/GoogleCloudAiplatformV1FindNeighborsResponseNeighbor.java

@@ -45,6 +45,13 @@ public final class GoogleCloudAiplatformV1FindNeighborsResponseNeighbor extends
   @com.google.api.client.util.Key
   private java.lang.Double distance;
 
+  /**
+   * The distance between the neighbor and the query sparse_embedding.
+   * The value may be {@code null}.
+   */
+  @com.google.api.client.util.Key
+  private java.lang.Double sparseDistance;
+
   /**
    * The datapoint of the neighbor. Note that full datapoints are returned only when
    * "return_full_datapoint" is set to true. Otherwise, only the "datapoint_id" and "crowding_tag"
@@ -83,6 +90,23 @@ public GoogleCloudAiplatformV1FindNeighborsResponseNeighbor setDistance(java.lan
     return this;
   }
 
+  /**
+   * The distance between the neighbor and the query sparse_embedding.
+   * @return value or {@code null} for none
+   */
+  public java.lang.Double getSparseDistance() {
+    return sparseDistance;
+  }
+
+  /**
+   * The distance between the neighbor and the query sparse_embedding.
+   * @param sparseDistance sparseDistance or {@code null} for none
+   */
+  public GoogleCloudAiplatformV1FindNeighborsResponseNeighbor setSparseDistance(java.lang.Double sparseDistance) {
+    this.sparseDistance = sparseDistance;
+    return this;
+  }
+
   @Override
   public GoogleCloudAiplatformV1FindNeighborsResponseNeighbor set(String fieldName, Object value) {
     return (GoogleCloudAiplatformV1FindNeighborsResponseNeighbor) super.set(fieldName, value);

clients/google-api-services-aiplatform/v1/2.0.0/com/google/api/services/aiplatform/v1/model/GoogleCloudAiplatformV1IndexDatapoint.java

@@ -70,6 +70,13 @@ public final class GoogleCloudAiplatformV1IndexDatapoint extends com.google.api.
   @com.google.api.client.util.Key
   private java.util.List<GoogleCloudAiplatformV1IndexDatapointRestriction> restricts;
 
+  /**
+   * Optional. Feature embedding vector for sparse index.
+   * The value may be {@code null}.
+   */
+  @com.google.api.client.util.Key
+  private GoogleCloudAiplatformV1IndexDatapointSparseEmbedding sparseEmbedding;
+
   /**
    * Optional. CrowdingTag of the datapoint, the number of neighbors to return in each crowding can
    * be configured during query.
@@ -167,6 +174,23 @@ public GoogleCloudAiplatformV1IndexDatapoint setRestricts(java.util.List<GoogleC
     return this;
   }
 
+  /**
+   * Optional. Feature embedding vector for sparse index.
+   * @return value or {@code null} for none
+   */
+  public GoogleCloudAiplatformV1IndexDatapointSparseEmbedding getSparseEmbedding() {
+    return sparseEmbedding;
+  }
+
+  /**
+   * Optional. Feature embedding vector for sparse index.
+   * @param sparseEmbedding sparseEmbedding or {@code null} for none
+   */
+  public GoogleCloudAiplatformV1IndexDatapoint setSparseEmbedding(GoogleCloudAiplatformV1IndexDatapointSparseEmbedding sparseEmbedding) {
+    this.sparseEmbedding = sparseEmbedding;
+    return this;
+  }
+
   @Override
   public GoogleCloudAiplatformV1IndexDatapoint set(String fieldName, Object value) {
     return (GoogleCloudAiplatformV1IndexDatapoint) super.set(fieldName, value);

clients/google-api-services-aiplatform/v1/2.0.0/com/google/api/services/aiplatform/v1/model/GoogleCloudAiplatformV1IndexDatapointSparseEmbedding.java

@@ -0,0 +1,91 @@
+/*
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
+ * in compliance with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software distributed under the License
+ * is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
+ * or implied. See the License for the specific language governing permissions and limitations under
+ * the License.
+ */
+/*
+ * This code was generated by https://github.com/googleapis/google-api-java-client-services/
+ * Modify at your own risk.
+ */
+
+package com.google.api.services.aiplatform.v1.model;
+
+/**
+ * Feature embedding vector for sparse index. An array of numbers whose values are located in the
+ * specified dimensions.
+ *
+ * <p> This is the Java data model class that specifies how to parse/serialize into the JSON that is
+ * transmitted over HTTP when working with the Vertex AI API. For a detailed explanation see:
+ * <a href="https://developers.google.com/api-client-library/java/google-http-java-client/json">https://developers.google.com/api-client-library/java/google-http-java-client/json</a>
+ * </p>
+ *
+ * @author Google, Inc.
+ */
+@SuppressWarnings("javadoc")
+public final class GoogleCloudAiplatformV1IndexDatapointSparseEmbedding extends com.google.api.client.json.GenericJson {
+
+  /**
+   * Optional. The list of indexes for the embedding values of the sparse vector.
+   * The value may be {@code null}.
+   */
+  @com.google.api.client.util.Key @com.google.api.client.json.JsonString
+  private java.util.List<java.lang.Long> dimensions;
+
+  /**
+   * Optional. The list of embedding values of the sparse vector.
+   * The value may be {@code null}.
+   */
+  @com.google.api.client.util.Key
+  private java.util.List<java.lang.Float> values;
+
+  /**
+   * Optional. The list of indexes for the embedding values of the sparse vector.
+   * @return value or {@code null} for none
+   */
+  public java.util.List<java.lang.Long> getDimensions() {
+    return dimensions;
+  }
+
+  /**
+   * Optional. The list of indexes for the embedding values of the sparse vector.
+   * @param dimensions dimensions or {@code null} for none
+   */
+  public GoogleCloudAiplatformV1IndexDatapointSparseEmbedding setDimensions(java.util.List<java.lang.Long> dimensions) {
+    this.dimensions = dimensions;
+    return this;
+  }
+
+  /**
+   * Optional. The list of embedding values of the sparse vector.
+   * @return value or {@code null} for none
+   */
+  public java.util.List<java.lang.Float> getValues() {
+    return values;
+  }
+
+  /**
+   * Optional. The list of embedding values of the sparse vector.
+   * @param values values or {@code null} for none
+   */
+  public GoogleCloudAiplatformV1IndexDatapointSparseEmbedding setValues(java.util.List<java.lang.Float> values) {
+    this.values = values;
+    return this;
+  }
+
+  @Override
+  public GoogleCloudAiplatformV1IndexDatapointSparseEmbedding set(String fieldName, Object value) {
+    return (GoogleCloudAiplatformV1IndexDatapointSparseEmbedding) super.set(fieldName, value);
+  }
+
+  @Override
+  public GoogleCloudAiplatformV1IndexDatapointSparseEmbedding clone() {
+    return (GoogleCloudAiplatformV1IndexDatapointSparseEmbedding) super.clone();
+  }
+
+}

clients/google-api-services-aiplatform/v1/2.0.0/com/google/api/services/aiplatform/v1/model/GoogleCloudAiplatformV1IndexStats.java

@@ -36,6 +36,13 @@ public final class GoogleCloudAiplatformV1IndexStats extends com.google.api.clie
   @com.google.api.client.util.Key
   private java.lang.Integer shardsCount;
 
+  /**
+   * Output only. The number of sparse vectors in the Index.
+   * The value may be {@code null}.
+   */
+  @com.google.api.client.util.Key @com.google.api.client.json.JsonString
+  private java.lang.Long sparseVectorsCount;
+
   /**
    * Output only. The number of dense vectors in the Index.
    * The value may be {@code null}.
@@ -60,6 +67,23 @@ public GoogleCloudAiplatformV1IndexStats setShardsCount(java.lang.Integer shards
     return this;
   }
 
+  /**
+   * Output only. The number of sparse vectors in the Index.
+   * @return value or {@code null} for none
+   */
+  public java.lang.Long getSparseVectorsCount() {
+    return sparseVectorsCount;
+  }
+
+  /**
+   * Output only. The number of sparse vectors in the Index.
+   * @param sparseVectorsCount sparseVectorsCount or {@code null} for none
+   */
+  public GoogleCloudAiplatformV1IndexStats setSparseVectorsCount(java.lang.Long sparseVectorsCount) {
+    this.sparseVectorsCount = sparseVectorsCount;
+    return this;
+  }
+
   /**
    * Output only. The number of dense vectors in the Index.
    * @return value or {@code null} for none

clients/google-api-services-aiplatform/v1/2.0.0/com/google/api/services/aiplatform/v1/model/GoogleCloudAiplatformV1NotebookRuntimeTemplate.java

@@ -107,7 +107,7 @@ public final class GoogleCloudAiplatformV1NotebookRuntimeTemplate extends com.go
   private GoogleCloudAiplatformV1MachineSpec machineSpec;
 
   /**
-   * Output only. The resource name of the NotebookRuntimeTemplate.
+   * The resource name of the NotebookRuntimeTemplate.
    * The value may be {@code null}.
    */
   @com.google.api.client.util.Key
@@ -350,15 +350,15 @@ public GoogleCloudAiplatformV1NotebookRuntimeTemplate setMachineSpec(GoogleCloud
   }
 
   /**
-   * Output only. The resource name of the NotebookRuntimeTemplate.
+   * The resource name of the NotebookRuntimeTemplate.
    * @return value or {@code null} for none
    */
   public java.lang.String getName() {
     return name;
   }
 
   /**
-   * Output only. The resource name of the NotebookRuntimeTemplate.
+   * The resource name of the NotebookRuntimeTemplate.
    * @param name name or {@code null} for none
    */
   public GoogleCloudAiplatformV1NotebookRuntimeTemplate setName(java.lang.String name) {