chore: regenerate dataproc client (#31499)

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-dataproc/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-dataproc</artifactId>
-      <version>v1-rev20260327-2.0.0</version>
+      <version>v1-rev20260407-2.0.0</version>
     </dependency>
   </dependencies>
 </project>
@@ -35,7 +35,7 @@ repositories {
   mavenCentral()
 }
 dependencies {
-  implementation 'com.google.apis:google-api-services-dataproc:v1-rev20260327-2.0.0'
+  implementation 'com.google.apis:google-api-services-dataproc:v1-rev20260407-2.0.0'
 }
 ```
 

clients/google-api-services-dataproc/v1/2.0.0/com/google/api/services/dataproc/model/Batch.java

@@ -81,6 +81,13 @@ public final class Batch extends com.google.api.client.json.GenericJson {
   @com.google.api.client.util.Key
   private PySparkBatch pysparkBatch;
 
+  /**
+   * Optional. PySpark notebook batch config.
+   * The value may be {@code null}.
+   */
+  @com.google.api.client.util.Key
+  private PySparkNotebookBatch pysparkNotebookBatch;
+
   /**
    * Optional. Runtime configuration for the batch execution.
    * The value may be {@code null}.
@@ -277,6 +284,23 @@ public Batch setPysparkBatch(PySparkBatch pysparkBatch) {
     return this;
   }
 
+  /**
+   * Optional. PySpark notebook batch config.
+   * @return value or {@code null} for none
+   */
+  public PySparkNotebookBatch getPysparkNotebookBatch() {
+    return pysparkNotebookBatch;
+  }
+
+  /**
+   * Optional. PySpark notebook batch config.
+   * @param pysparkNotebookBatch pysparkNotebookBatch or {@code null} for none
+   */
+  public Batch setPysparkNotebookBatch(PySparkNotebookBatch pysparkNotebookBatch) {
+    this.pysparkNotebookBatch = pysparkNotebookBatch;
+    return this;
+  }
+
   /**
    * Optional. Runtime configuration for the batch execution.
    * @return value or {@code null} for none

clients/google-api-services-dataproc/v1/2.0.0/com/google/api/services/dataproc/model/PySparkNotebookBatch.java

@@ -0,0 +1,189 @@
+/*
+ * 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.dataproc.model;
+
+/**
+ * A configuration for running a PySpark Notebook batch workload.
+ *
+ * <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 Cloud Dataproc 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 PySparkNotebookBatch extends com.google.api.client.json.GenericJson {
+
+  /**
+   * Optional. HCFS URIs of archives to be extracted into the working directory of each executor.
+   * Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
+   * The value may be {@code null}.
+   */
+  @com.google.api.client.util.Key
+  private java.util.List<java.lang.String> archiveUris;
+
+  /**
+   * Optional. HCFS URIs of files to be placed in the working directory of each executor
+   * The value may be {@code null}.
+   */
+  @com.google.api.client.util.Key
+  private java.util.List<java.lang.String> fileUris;
+
+  /**
+   * Optional. HCFS URIs of jar files to be added to the Spark CLASSPATH.
+   * The value may be {@code null}.
+   */
+  @com.google.api.client.util.Key
+  private java.util.List<java.lang.String> jarFileUris;
+
+  /**
+   * Required. The HCFS URI of the notebook file to execute.
+   * The value may be {@code null}.
+   */
+  @com.google.api.client.util.Key
+  private java.lang.String notebookFileUri;
+
+  /**
+   * Optional. The parameters to pass to the notebook.
+   * The value may be {@code null}.
+   */
+  @com.google.api.client.util.Key
+  private java.util.Map<String, java.lang.String> params;
+
+  /**
+   * Optional. HCFS URIs of Python files to pass to the PySpark framework.
+   * The value may be {@code null}.
+   */
+  @com.google.api.client.util.Key
+  private java.util.List<java.lang.String> pythonFileUris;
+
+  /**
+   * Optional. HCFS URIs of archives to be extracted into the working directory of each executor.
+   * Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
+   * @return value or {@code null} for none
+   */
+  public java.util.List<java.lang.String> getArchiveUris() {
+    return archiveUris;
+  }
+
+  /**
+   * Optional. HCFS URIs of archives to be extracted into the working directory of each executor.
+   * Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
+   * @param archiveUris archiveUris or {@code null} for none
+   */
+  public PySparkNotebookBatch setArchiveUris(java.util.List<java.lang.String> archiveUris) {
+    this.archiveUris = archiveUris;
+    return this;
+  }
+
+  /**
+   * Optional. HCFS URIs of files to be placed in the working directory of each executor
+   * @return value or {@code null} for none
+   */
+  public java.util.List<java.lang.String> getFileUris() {
+    return fileUris;
+  }
+
+  /**
+   * Optional. HCFS URIs of files to be placed in the working directory of each executor
+   * @param fileUris fileUris or {@code null} for none
+   */
+  public PySparkNotebookBatch setFileUris(java.util.List<java.lang.String> fileUris) {
+    this.fileUris = fileUris;
+    return this;
+  }
+
+  /**
+   * Optional. HCFS URIs of jar files to be added to the Spark CLASSPATH.
+   * @return value or {@code null} for none
+   */
+  public java.util.List<java.lang.String> getJarFileUris() {
+    return jarFileUris;
+  }
+
+  /**
+   * Optional. HCFS URIs of jar files to be added to the Spark CLASSPATH.
+   * @param jarFileUris jarFileUris or {@code null} for none
+   */
+  public PySparkNotebookBatch setJarFileUris(java.util.List<java.lang.String> jarFileUris) {
+    this.jarFileUris = jarFileUris;
+    return this;
+  }
+
+  /**
+   * Required. The HCFS URI of the notebook file to execute.
+   * @return value or {@code null} for none
+   */
+  public java.lang.String getNotebookFileUri() {
+    return notebookFileUri;
+  }
+
+  /**
+   * Required. The HCFS URI of the notebook file to execute.
+   * @param notebookFileUri notebookFileUri or {@code null} for none
+   */
+  public PySparkNotebookBatch setNotebookFileUri(java.lang.String notebookFileUri) {
+    this.notebookFileUri = notebookFileUri;
+    return this;
+  }
+
+  /**
+   * Optional. The parameters to pass to the notebook.
+   * @return value or {@code null} for none
+   */
+  public java.util.Map<String, java.lang.String> getParams() {
+    return params;
+  }
+
+  /**
+   * Optional. The parameters to pass to the notebook.
+   * @param params params or {@code null} for none
+   */
+  public PySparkNotebookBatch setParams(java.util.Map<String, java.lang.String> params) {
+    this.params = params;
+    return this;
+  }
+
+  /**
+   * Optional. HCFS URIs of Python files to pass to the PySpark framework.
+   * @return value or {@code null} for none
+   */
+  public java.util.List<java.lang.String> getPythonFileUris() {
+    return pythonFileUris;
+  }
+
+  /**
+   * Optional. HCFS URIs of Python files to pass to the PySpark framework.
+   * @param pythonFileUris pythonFileUris or {@code null} for none
+   */
+  public PySparkNotebookBatch setPythonFileUris(java.util.List<java.lang.String> pythonFileUris) {
+    this.pythonFileUris = pythonFileUris;
+    return this;
+  }
+
+  @Override
+  public PySparkNotebookBatch set(String fieldName, Object value) {
+    return (PySparkNotebookBatch) super.set(fieldName, value);
+  }
+
+  @Override
+  public PySparkNotebookBatch clone() {
+    return (PySparkNotebookBatch) super.clone();
+  }
+
+}

clients/google-api-services-dataproc/v1/2.0.0/pom.xml

@@ -8,8 +8,8 @@
 
   <groupId>com.google.apis</groupId>
   <artifactId>google-api-services-dataproc</artifactId>
-  <version>v1-rev20260327-2.0.0</version>
-  <name>Cloud Dataproc API v1-rev20260327-2.0.0</name>
+  <version>v1-rev20260407-2.0.0</version>
+  <name>Cloud Dataproc API v1-rev20260407-2.0.0</name>
   <packaging>jar</packaging>
 
   <inceptionYear>2011</inceptionYear>

clients/google-api-services-dataproc/v1/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-dataproc</artifactId>
-      <version>v1-rev20260327-2.0.0</version>
+      <version>v1-rev20260407-2.0.0</version>
     </dependency>
   </dependencies>
 </project>
@@ -35,7 +35,7 @@ repositories {
   mavenCentral()
 }
 dependencies {
-  implementation 'com.google.apis:google-api-services-dataproc:v1-rev20260327-2.0.0'
+  implementation 'com.google.apis:google-api-services-dataproc:v1-rev20260407-2.0.0'
 }
 ```