[`tf.distribute.Strategy`](https://www.tensorflow.org/beta/guide/distribute_strategy)
    API to distribute training with minimal code changes, yielding great
    out-of-the-box performance. It supports distributed training with Keras
    model.fit, as well as with custom training loops. Multi-GPU support is
    available, along with experimental support for multi worker and Cloud TPUs.
    Check out the

   *     not support creating temporary directories securely
   * @deprecated For Android users, see the <a
   *     href="https://developer.android.com/training/data-storage" target="_blank">Data and File
   *     Storage overview</a> to select an appropriate temporary directory (perhaps {@code
   *     context.getCacheDir()}), and create your own directory under that. (For example, you might

   *     not support creating temporary directories securely
   * @deprecated For Android users, see the <a
   *     href="https://developer.android.com/training/data-storage" target="_blank">Data and File
   *     Storage overview</a> to select an appropriate temporary directory (perhaps {@code
   *     context.getCacheDir()}), and create your own directory under that. (For example, you might

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     * @return this ExecJob instance for method chaining
     */
    public ExecJob jobExecutor(final JobExecutor jobExecutor) {
        this.jobExecutor = jobExecutor;
        return this;
    }

    /**
     * Sets the session ID for this job execution.
     *
     * @param sessionId the unique session identifier
     * @return this ExecJob instance for method chaining
     */

         */
        public SearchResultBuilder addDocument(final Map<String, Object> doc) {
            documentList.add(doc);
            return this;
        }

        /**
         * Sets the facet response containing aggregated facet information.
         *
         * @param facetResponse The facet response
         * @return This builder instance for method chaining
         */

     *
     * @return create cancel request
     */
    CommonServerMessageBlockRequest createCancel();

    /**
     * Checks if chaining is allowed with the next request.
     *
     * @param next the next request in the chain
     * @return whether to allow chaining
     */
    boolean allowChain(CommonServerMessageBlockRequest next);

    /**
     * Sets the tree ID.
     *
     * @param t the tree ID to set

    return from(CacheBuilderSpec.parse(spec));
  }

  /**
   * Enables lenient parsing. Useful for tests and spec parsing.
   *
   * @return this {@code CacheBuilder} instance (for chaining)
   */
  @GwtIncompatible // To be supported
  @CanIgnoreReturnValue
  CacheBuilder<K, V> lenientParsing() {
    strictParsing = false;
    return this;
  }

  /**

     * @return this builder instance for method chaining
     */
    public ExtractorBuilder mimeType(final String mimeType) {
        this.mimeType = mimeType;
        return this;
    }

    /**
     * Sets the filename of the content to extract.
     *
     * @param filename the filename to set
     * @return this builder instance for method chaining
     */

import org.codelibs.fess.crawler.entity.RequestData.Method;

/**
 * Builder class for creating RequestData objects using a fluent interface.
 * This class provides a simple way to construct RequestData objects with method chaining.
 *
 * <p>Usage example:</p>
 * <pre>
 * RequestData request = RequestDataBuilder.newRequestData()
 *     .method("GET")
 *     .url("https://example.com")
 *     .weight(1.0f)
 *     .build();
 * </pre>