private static int[] createFilledWithAbsent(int size) {
    int[] array = new int[size];
    Arrays.fill(array, ABSENT);
    return array;
  }

  /** Equivalent to {@code Arrays.copyOf(array, newSize)}, save that the new elements are ABSENT. */
  private static int[] expandAndFillWithAbsent(int[] array, int newSize) {
    int oldSize = array.length;
    int[] result = Arrays.copyOf(array, newSize);

    init(expectedSize);
  }

  /** Pseudoconstructor for serialization support. */
  void init(int expectedSize) {
    Preconditions.checkArgument(expectedSize >= 0, "Expected size must be >= 0");

    // Save expectedSize for use in allocArrays()
    this.metadata = Ints.constrainToRange(expectedSize, 1, CompactHashing.MAX_SIZE);
  }

  /** Returns whether arrays need to be allocated. */
  boolean needsAllocArrays() {

 *
 *   protected Scheduler scheduler() {
 *     return Scheduler.newFixedRateSchedule(0, 1, TimeUnit.SECONDS);
 *   }
 * }
 * }
 *
 * <p>This class uses the life cycle methods to read in a list of starting URIs and save the set of
 * outstanding URIs when shutting down. Also, it takes advantage of the scheduling functionality to
 * rate limit the number of queries we perform.
 *
 * @author Luke Sandberg
 * @since 11.0
 */

        }
      };

  public void testAnyAndNone_logicalOps() throws Exception {
    // These are testing behavior that's never promised by the API, but since
    // we're lucky enough that these do pass, it saves us from having to write
    // more excruciating tests! Hooray!

    assertSame(CharMatcher.any(), CharMatcher.none().negate());
    assertSame(CharMatcher.none(), CharMatcher.any().negate());

 *
 *   protected Scheduler scheduler() {
 *     return Scheduler.newFixedRateSchedule(0, 1, TimeUnit.SECONDS);
 *   }
 * }
 * }
 *
 * <p>This class uses the life cycle methods to read in a list of starting URIs and save the set of
 * outstanding URIs when shutting down. Also, it takes advantage of the scheduling functionality to
 * rate limit the number of queries we perform.
 *
 * @author Luke Sandberg
 * @since 11.0
 */

    }

    private static final long serialVersionUID = 1;
  }

  /**
   * Writes this {@code BloomFilter} to an output stream, with a custom format (not Java
   * serialization). This has been measured to save at least 400 bytes compared to regular
   * serialization.
   *
   * <p>Use {@linkplain #readFrom(InputStream, Funnel)} to reconstruct the written BloomFilter.
   */

    init(expectedSize);
  }

  /** Pseudoconstructor for serialization support. */
  void init(int expectedSize) {
    Preconditions.checkArgument(expectedSize >= 0, "Expected size must be >= 0");

    // Save expectedSize for use in allocArrays()
    this.metadata = Ints.constrainToRange(expectedSize, 1, CompactHashing.MAX_SIZE);
  }

  /** Returns whether arrays need to be allocated. */
  boolean needsAllocArrays() {

   */
  @J2ktIncompatible // serialization
  static class SerializedForm<K, V> implements Serializable {
    // This object retains references to collections returned by keySet() and value(). This saves
    // bytes when the both the map and its keySet or value collection are written to the same
    // instance of ObjectOutputStream.

   */
  @J2ktIncompatible // serialization
  static class SerializedForm<K, V> implements Serializable {
    // This object retains references to collections returned by keySet() and value(). This saves
    // bytes when the both the map and its keySet or value collection are written to the same
    // instance of ObjectOutputStream.

 * your HTTP calls. This is because each client holds its own connection pool and thread pools.
 * Reusing connections and threads reduces latency and saves memory. Conversely, creating a client
 * for each request wastes resources on idle pools.
 *
 * Use `new OkHttpClient()` to create a shared instance with the default settings:
 *
 * ```java
 * // The singleton HTTP client.