hashFunctions[0] = Murmur3_128HashFunction.GOOD_FAST_HASH_128;
    int seed = GOOD_FAST_HASH_SEED;
    for (int i = 1; i < hashFunctionsNeeded; i++) {
      seed += 1500450271; // a prime; shouldn't matter
      hashFunctions[i] = murmur3_128(seed);
    }
    return new ConcatenatedHashFunction(hashFunctions);
  }

  /**

    @Required
    @Min(-1)
    @Max(1000)
    @ValidateTypeFailure
    public Integer dayForCleanup;

    /**
     * Number of threads to use for crawling operations.
     * Higher values increase crawling speed but consume more resources.
     */
    @Required
    @Min(0)
    @Max(100)
    @ValidateTypeFailure
    public Integer crawlingThreadCount;

    /**
     * Enable or disable search query logging.

 *       <i>deeply</i> immutable.
 * </ul>
 *
 * <h4>Performance notes</h4>
 *
 * <ul>
 *   <li>Implementations can be generally assumed to prioritize memory efficiency, then speed of
 *       access, and lastly speed of creation.
 *   <li>The {@code copyOf} methods will sometimes recognize that the actual copy operation is
 *       unnecessary; for example, {@code copyOf(copyOf(anArrayList))} should copy the data only

 *       <i>deeply</i> immutable.
 * </ul>
 *
 * <h4>Performance notes</h4>
 *
 * <ul>
 *   <li>Implementations can be generally assumed to prioritize memory efficiency, then speed of
 *       access, and lastly speed of creation.
 *   <li>The {@code copyOf} methods will sometimes recognize that the actual copy operation is
 *       unnecessary; for example, {@code copyOf(copyOf(anArrayList))} should copy the data only

    hashFunctions[0] = Murmur3_128HashFunction.GOOD_FAST_HASH_128;
    int seed = GOOD_FAST_HASH_SEED;
    for (int i = 1; i < hashFunctionsNeeded; i++) {
      seed += 1500450271; // a prime; shouldn't matter
      hashFunctions[i] = murmur3_128(seed);
    }
    return new ConcatenatedHashFunction(hashFunctions);
  }

  /**

          long denominator = 1;

          int numeratorBits = nBits;
          // This is an upper bound on log2(numerator, ceiling).

          /*
           * We want to do this in long math for speed, but want to avoid overflow. We adapt the
           * technique previously used by BigIntegerMath: maintain separate numerator and
           * denominator accumulators, multiplying the fraction into result when near overflow.

      long seed = insertRandomly(elements, q);
      while (!q.isEmpty()) {
        elements.add(0, q.pollLast());
      }
      assertEqualsUsingSeed(seed, expected, elements);
    }
  }

  public void testCorrectOrdering_randomAccess() {
    long seed = new Random().nextLong();
    Random random = new Random(seed);
    PriorityQueue<Integer> control = new PriorityQueue<>();

  private final int seed;
  private final boolean supplementaryPlaneFix;

  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

        assertEquals(result1, result2);
    }

    public void test_getCacheKey_nullSeed() {
        String seed = null;
        String[] tags = { "tag1" };
        String[] roles = { "role1" };
        String[] fields = { "field1" };
        String[] excludes = { "exclude1" };

        String result = popularWordHelper.getCacheKey(seed, tags, roles, fields, excludes);

  private final int seed;
  private final boolean supplementaryPlaneFix;

  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