Properties props = PropertiesUtil.load(resource);

// File operations with proper resource handling
try (InputStream input = ResourceUtil.getResourceAsStream("data.txt")) {
    String content = InputStreamUtil.getUTF8String(input);
}

// Resource traversal for processing multiple files
ResourceTraversalUtil.forEach("META-INF", (resource, is) -> {

  private static class Control extends AbstractNonStreamingHashFunction {
    @Override
    public HashCode hashBytes(byte[] input, int off, int len) {
      return HashCode.fromBytes(Arrays.copyOfRange(input, off, off + len));
    }

    @Override
    public int bits() {
      throw new UnsupportedOperationException();
    }
  }

   * consistent hashing</a> for more information.
   */
  public static int consistentHash(long input, int buckets) {
    checkArgument(buckets > 0, "buckets must be positive: %s", buckets);
    LinearCongruentialGenerator generator = new LinearCongruentialGenerator(input);
    int candidate = 0;
    int next;

    // Jump from bucket to bucket until we go out of range
    while (true) {

 * Converter.apply (like Converter.convert) is capable of accepting null inputs. However, a
 * supertype of `Function<A, B>` turns out to be massively more useful to callers in practice: They
 * want their output to be non-null in operations like `stream.map(myConverter)`, and we can
 * guarantee that as long as we also require the input type to be non-null[*] (which is a
 * requirement that existing callers already fulfill).
 *

flex;\n}\n\n.input-group-prepend .btn,\n.input-group-append .btn {\n  position: relative;\n  z-index: 2;\n}\n\n.input-group-prepend .btn:focus,\n.input-group-append .btn:focus {\n  z-index: 3;\n}\n\n.input-group-prepend .btn + .btn,\n.input-group-prepend .btn + .input-group-text,\n.input-group-prepend .input-group-text + .input-group-text,\n.input-group-prepend .input-group-text + .btn,\n.input-group-append .btn + .btn,\n.input-group-append .btn + .input-group-text,\n.input-group-append .input-group-text...

   * (key) bits 'affects' a strictly smaller set of output bits. Funneling is bad because it can
   * result in more-than-ideal collisions for a non-uniformly distributed key space. In practice,
   * most key spaces are ANYTHING BUT uniformly distributed. A bit(i) in the input is said to
   * 'affect' a bit(j) in the output if two inputs, identical but for bit(i), will differ at output

  }

  /**
   * Returns a {@code Collector} that accumulates elements into an {@code ImmutableTable}. Each
   * input element is mapped to one cell in the returned table, with the rows, columns, and values
   * generated by applying the specified functions. If multiple inputs are mapped to the same row
   * and column pair, they will be combined with the specified merging function in encounter order.
   *

    /**
     * Builds parameter maps for search initialization, creating both query strings
     * and form inputs for the given parameters.
     *
     * @param paramMap the parameter map to process
     * @param queryKey the key for storing query string parameters
     * @param formKey the key for storing form input parameters
     */

   *
   * <p>This test might fail in GWT because the GWT emulations might count on the input collection
   * not to change during the copy. It is safe to do so in GWT because javascript is
   * single-threaded.
   */
  @GwtIncompatible // GWT is single threaded
  public void testCopyOf_threadSafe() {
    /*
     * The actual collections that we pass as inputs will be wrappers around these, so

                                        <th style="width: 25%"><la:message
                                                key="labels.dict_mapping_source"/></th>
                                        <td>${f:br(f:h(inputs))}<la:hidden property="inputs"/></td>
                                    </tr>
                                    <tr>
                                        <th><la:message key="labels.dict_mapping_target"/></th>