this.scale = scale;
      this.index = index;
    }

    /**
     * Computes the quantile value of the given dataset.
     *
     * @param dataset the dataset to do the calculation on, which must be non-empty, which will be
     *     cast to doubles (with any associated lost of precision), and which will not be mutated by
     *     this call (it is copied instead)
     * @return the quantile value

    assertEqualCharNodes(Iterables.limit(result, 2), "ab");
    assertThat(graph.requestedNodes).containsExactly('a', 'a', 'b');

    // Iterate again to see if calculation is done again
    assertEqualCharNodes(Iterables.limit(result, 2), "ab");
    assertThat(graph.requestedNodes).containsExactly('a', 'a', 'a', 'b', 'b');
  }

  @Test

    assertEqualCharNodes(Iterables.limit(result, 2), "ab");
    assertThat(graph.requestedNodes).containsExactly('a', 'a', 'b');

    // Iterate again to see if calculation is done again
    assertEqualCharNodes(Iterables.limit(result, 2), "ab");
    assertThat(graph.requestedNodes).containsExactly('a', 'a', 'a', 'b', 'b');
  }

  @Test

            .size());

    // Almost force an overflow in the binomial coefficient calculation
    assertEquals(
        1391975640 /*C(34,14)*/,
        Collections2.orderedPermutations(concat(nCopies(20, 1), nCopies(14, 2))).size());
    // Do force an overflow in the binomial coefficient calculation
    assertEquals(
        Integer.MAX_VALUE,

      return;
    }

    xStats.addAll(values.xStats());
    if (yStats.count() == 0) {
      sumOfProductsOfDeltas = values.sumOfProductsOfDeltas();
    } else {
      // This is a generalized version of the calculation in add(double, double) above. Note that
      // non-finite inputs will have sumOfProductsOfDeltas = NaN, so non-finite values will result
      // in NaN naturally.
      sumOfProductsOfDeltas +=

        return if (delta > 0L) delta / 10 else 0L
      }

      return 0L
    }

    /**
     * Returns the current age of the response, in milliseconds. The calculation is specified by RFC
     * 7234, 4.2.3 Calculating Age.
     */
    private fun cacheResponseAge(): Long {
      val servedDate = this.servedDate
      val apparentReceivedAge =
        if (servedDate != null) {

  }

  public void testScale_indexes_largeVarargs_compute_doubleCollection() {
    int scale = Integer.MAX_VALUE;
    int otherIndex = (Integer.MAX_VALUE - 1) / 3; // this divides exactly
    // For the otherIndex calculation, we have q=Integer.MAX_VALUE, k=(Integer.MAX_VALUE-1)/3, and
    // N=16. Therefore k*(N-1)/q = 5-5/Integer.MAX_VALUE, which has floor 4 and fractional part
    // (1-5/Integer.MAX_VALUE).

  }

  public void testScale_indexes_largeVarargs_compute_doubleCollection() {
    int scale = Integer.MAX_VALUE;
    int otherIndex = (Integer.MAX_VALUE - 1) / 3; // this divides exactly
    // For the otherIndex calculation, we have q=Integer.MAX_VALUE, k=(Integer.MAX_VALUE-1)/3, and
    // N=16. Therefore k*(N-1)/q = 5-5/Integer.MAX_VALUE, which has floor 4 and fractional part
    // (1-5/Integer.MAX_VALUE).

      min = otherMin;
      max = otherMax;
    } else {
      count += otherCount;
      if (isFinite(mean) && isFinite(otherMean)) {
        // This is a generalized version of the calculation in add(double) above.
        double delta = otherMean - mean;
        mean += delta * otherCount / count;
        sumOfSquaresOfDeltas += otherSumOfSquaresOfDeltas + delta * (otherMean - mean) * otherCount;
      } else {

  private final Strategy strategy;

  /** Natural logarithm of 2, used to optimize calculations in Bloom filter sizing. */
  private static final double LOG_TWO = Math.log(2);

  /** Square of the natural logarithm of 2, reused to optimize the bit size calculation. */
  private static final double SQUARED_LOG_TWO = LOG_TWO * LOG_TWO;

  /** Creates a BloomFilter. */
  private BloomFilter(