public ClassDocSuperTypeBuilder(DslDocModel model, GenerationListener listener) {
        this.model = model;
        this.listener = listener;
    }

    /**
     * Builds and attaches the supertypes of the given class
     */
    void build(ClassDoc classDoc) {
        ClassMetaData classMetaData = classDoc.getClassMetaData();
        String superClassName = classMetaData.getSuperClassName();
        if (superClassName != null) {

    <pluginRepositories>
        <pluginRepository>
            <id>JetBrains</id>
            <url>https://download.jetbrains.com/teamcity-repository</url>
        </pluginRepository>
    </pluginRepositories>

    <build>
        <sourceDirectory>${project.basedir}/src/main/kotlin</sourceDirectory>
        <testSourceDirectory>${project.basedir}/src/test/kotlin</testSourceDirectory>
        <plugins>
            <plugin>

        this.javadocConverter = javadocConverter;
        this.listener = listener;
    }

    /**
     * Builds the class comment for the given class.
     */
    void build(ClassDoc classDoc) {
        classDoc.setComment(javadocConverter.parse(classDoc.getClassMetaData(), listener).getDocbook());
    }

    private final DslDocModel model;

    public ReferencedTypeBuilder(DslDocModel model) {
        this.model = model;
    }

    /**
     * Builds the docs for types referenced by properties and methods of the given class.
     */
    public void build(ClassDoc classDoc) {
        for (PropertyDoc propertyDoc : classDoc.getClassProperties()) {
            String referencedType = propertyDoc.getMetaData().getType().getName();

labels: 'TFLiteConverter'

---

### 1. System information

- OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
- TensorFlow installation (pip package or built from source):
- TensorFlow library (version, if pip package or github SHA, if built from source):

### 2. Code

Provide code to help us reproduce your issues using one of the following options:

#### Option A: Reference colab notebooks

    else -> actualBranch
}

/**
 * The build environment.
 *
 * WARNING: Every val in here must not change for they same daemon. If it does, changes will go undetected,
 *          since this whole object is kept in the classloader between builds.
 *          Anything that changes must be in a val with a get() method that recomputes the value each time.
 */

        runner = new OpenSearchRunner();
        runner.onBuild((number, settingsBuilder) -> {
            settingsBuilder.put("http.cors.enabled", true);
            settingsBuilder.put("discovery.type", "single-node");
            // settingsBuilder.putList("discovery.seed_hosts", "127.0.0.1:9301");
            // settingsBuilder.putList("cluster.initial_master_nodes", "127.0.0.1:9301");
        }).build(newConfigs().clusterName("ArraySettingsTest").numOfNode(1)

        runner = new OpenSearchRunner();
        runner.onBuild((number, settingsBuilder) -> {
            settingsBuilder.put("http.cors.enabled", true);
            settingsBuilder.put("discovery.type", "single-node");
            // settingsBuilder.putList("discovery.seed_hosts", "127.0.0.1:9301");
            // settingsBuilder.putList("cluster.initial_master_nodes", "127.0.0.1:9301");
        }).build(newConfigs().clusterName("ArraySettingsTest").numOfNode(1)

    builder.add("baz");
    assertTrue(set.elements != builder.contents);
  }

  public void testReuseBuilderReducingHashTableSizeWithPowerOfTwoTotalElements() {
    ImmutableSet.Builder<Object> builder = ImmutableSet.builderWithExpectedSize(6);
    builder.add(0);
    ImmutableSet<Object> unused = builder.build();

# Update the version numbers for Nightly only
if [[ "$TFCI_NIGHTLY_UPDATE_VERSION_ENABLE" == 1 ]]; then
  tfrun python3 tensorflow/tools/ci_build/update_version.py --nightly
fi

tfrun bazel $TFCI_BAZEL_BAZELRC_ARGS test $TFCI_BAZEL_COMMON_ARGS --config=linux_libtensorflow_test
tfrun bazel $TFCI_BAZEL_BAZELRC_ARGS build $TFCI_BAZEL_COMMON_ARGS --config=linux_libtensorflow_build