System.out.println("Processed: " + processed + " URLs");
    Thread.sleep(5000);
}
```

## Contributing

We welcome contributions to Fess Crawler! Please follow these guidelines:

1. **Fork** the repository
2. **Create** a feature branch (`git checkout -b feature/amazing-feature`)
3. **Commit** your changes (`git commit -m 'Add amazing feature'`)
4. **Push** to the branch (`git push origin feature/amazing-feature`)

/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you 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
 *

/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you 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
 *

   * {@code isCancelled()} always returns {@code true}.
   *
   * @since 14.0
   */
  @SuppressWarnings("unchecked") // ImmediateCancelledFuture can work with any type
  public static <V extends @Nullable Object> ListenableFuture<V> immediateCancelledFuture() {
    ListenableFuture<Object> instance = ImmediateCancelledFuture.INSTANCE;
    if (instance != null) {

happens when one eats cake, but Alice had got so much into the
way of expecting nothing but out-of-the-way things to happen,
that it seemed quite dull and stupid for life to go on in the
common way.

  So she set to work, and very soon finished off the cake.

     *       *       *       *       *       *       *

         *       *       *       *       *       *

     *       *       *       *       *       *       *

      and conversions to other media types.

      "Work" shall mean the work of authorship, whether in Source or
      Object form, made available under the License, as indicated by a
      copyright notice that is included in or attached to the work
      (an example is provided in the Appendix below).

      "Derivative Works" shall mean any work, whether in Source or Object

    *   Extend scatter operations to work with a scalar update parameter.
    *   Move cuDNN RNN ops to core for use in TensorFlow codebase only.
    *   Add `float64` support for `Conv2d`, `Conv2dBackpropInput`, and
        `Conv2dBackpropFilter`.
    *   Add `float64` support for `AvgPool`/`AvgPoolGrad`.
    *   Make graph name scope thread local so that they work correctly in
        multi-threaded environments.

      and conversions to other media types.

      "Work" shall mean the work of authorship, whether in Source or
      Object form, made available under the License, as indicated by a
      copyright notice that is included in or attached to the work
      (an example is provided in the Appendix below).

      "Derivative Works" shall mean any work, whether in Source or Object

"Work" shall mean the work of authorship, whether in Source or Object form, 
made available under the License, as indicated by a copyright notice that is 
included in or attached to the work (an example is provided in the Appendix 
below). 

"Derivative Works" shall mean any work, whether in Source or Object form, 
that is based on (or derived from) the Work and for which the editorial 

      and conversions to other media types.

      "Work" shall mean the work of authorship, whether in Source or
      Object form, made available under the License, as indicated by a
      copyright notice that is included in or attached to the work
      (an example is provided in the Appendix below).

      "Derivative Works" shall mean any work, whether in Source or Object