Murmur3_32HashFunction(int seed, boolean supplementaryPlaneFix) {
    this.seed = seed;
    this.supplementaryPlaneFix = supplementaryPlaneFix;
  }

  @Override
  public int bits() {
    return 32;
  }

  @Override
  public Hasher newHasher() {
    return new Murmur3_32Hasher(seed);
  }

  @Override
  public String toString() {
    return "Hashing.murmur3_32(" + seed + ")";

distributing the Program.

d) Each Contributor represents that to its knowledge it has sufficient copyright
rights in its Contribution, if any, to grant the copyright license set forth
in this Agreement.

   3. REQUIREMENTS

A Contributor may choose to distribute the Program in object code form under
its own license agreement, provided that:

        modify, display, perform, distribute, and otherwise exploit its
        Contributions, either on an unmodified basis, with Modifications, or as
        part of a Larger Work; and

     b. under Patent Claims of such Contributor to make, use, sell, offer for
        sale, have made, import, and otherwise transfer either its Contributions
        or its Contributor Version.

2.2. Effective Date

        final SearchEngineClient client = ComponentUtil.getSearchEngineClient();
        return client.<SearchHit> scrollSearch(index, searchRequestBuilder -> true, (searchResponse, hit) -> hit,
                hit -> callback.apply(hit));
    }

    public static String getXContentString(final ToXContent xContent, final MediaType mediaType) {
        try {

}

// asciiSet is a 32-byte value, where each bit represents the presence of a
// given ASCII character in the set. The 128-bits of the lower 16 bytes,
// starting with the least-significant bit of the lowest word to the
// most-significant bit of the highest word, map to the full range of all
// 128 ASCII characters. The 128-bits of the upper 16 bytes will be zeroed,
// ensuring that any non-ASCII character will be reported as not in the set.

   * its capacity threshold.
   *
   * The Least Recently Used page replacement algorithm was chosen due to its simplicity, high hit
   * rate, and ability to be implemented with O(1) time complexity. The initial LRU implementation
   * operates per-segment rather than globally for increased implementation simplicity. We expect
   * the cache hit rate to be similar to that of a global LRU algorithm.
   */

        modify, display, perform, distribute, and otherwise exploit its
        Contributions, either on an unmodified basis, with Modifications, or as
        part of a Larger Work; and

     b. under Patent Claims of such Contributor to make, use, sell, offer for
        sale, have made, import, and otherwise transfer either its Contributions
        or its Contributor Version.

2.2. Effective Date

        modify, display, perform, distribute, and otherwise exploit its
        Contributions, either on an unmodified basis, with Modifications, or
        as part of a Larger Work; and

     b. under Patent Claims of such Contributor to make, use, sell, offer for
        sale, have made, import, and otherwise transfer either its
        Contributions or its Contributor Version.

2.2. Effective Date

    return (int) Math.pow(a, 1.0 / concentration);
  }

  @AfterExperiment
  void tearDown() {
    double req = requests.get();
    double hit = req - misses.get();

    // Currently, this is going into /dev/null, but I'll fix that
    System.out.println("hit rate: " + hit / req);
  }

  // for proper distributions later:
  // import JSci.maths.statistics.ProbabilityDistribution;

    assertEquals(8, ImmutableSet.chooseTableSize(4));

    assertEquals(1 << 29, ImmutableSet.chooseTableSize(1 << 28));
    assertEquals(1 << 29, ImmutableSet.chooseTableSize((1 << 29) * 3 / 5));

    // Now we hit the cap
    assertEquals(1 << 30, ImmutableSet.chooseTableSize(1 << 29));
    assertEquals(1 << 30, ImmutableSet.chooseTableSize((1 << 30) - 1));

    // Now we've gone too far