* @param expectedInsertions the number of expected insertions to the constructed {@code
   *     BloomFilter}; must be positive
   * @param fpp the desired false positive probability (must be positive and less than 1.0)
   * @return a {@code Collector} generating a {@code BloomFilter} of the received elements
   * @since NEXT (but since 23.0 in the JRE flavor)
   */

    // - Class/Member Variables -/
    // --------------------------/

    /**
     * The one-based line number. The value will be non-positive if
     * unknown.
     */
    private int lineNumber = -1;

    /**
     * The one-based column number. The value will be non-positive
     * if unknown.
     */
    private int columnNumber = -1;

    /**
     * Field source.
     */
    private InputSource source;

      boolean bitsChanged = false;
      for (int i = 1; i <= numHashFunctions; i++) {
        int combinedHash = hash1 + (i * hash2);
        // Flip all the bits if it's negative (guaranteed positive number)
        if (combinedHash < 0) {
          combinedHash = ~combinedHash;
        }
        bitsChanged |= bits.set(combinedHash % bitSize);
      }
      return bitsChanged;
    }

    @Override

    for (int i = 0; i < numInsertions * 2; i += 2) {
      assertTrue(bf.mightContain(Integer.toString(i)));
    }

    // Now we check for known false positives using a set of known false positives.
    // (These are all of the false positives under 900.)
    ImmutableSet<Integer> falsePositives =
        ImmutableSet.of(
            49, 51, 59, 163, 199, 321, 325, 363, 367, 469, 545, 561, 727, 769, 773, 781);

        public BigInteger apply(BigInteger x) {
          return x.negate();
        }
      };

  /*
   * This list contains values that attempt to provoke overflow in integer operations. It contains
   * positive values on or near 2^N for N near multiples of 8 (near byte boundaries).
   */
  static final ImmutableSet<Integer> POSITIVE_INTEGER_CANDIDATES;

  static final Iterable<Integer> NEGATIVE_INTEGER_CANDIDATES;

        public BigInteger apply(BigInteger x) {
          return x.negate();
        }
      };

  /*
   * This list contains values that attempt to provoke overflow in integer operations. It contains
   * positive values on or near 2^N for N near multiples of 8 (near byte boundaries).
   */
  static final ImmutableSet<Integer> POSITIVE_INTEGER_CANDIDATES;

  static final Iterable<Integer> NEGATIVE_INTEGER_CANDIDATES;

  // queues exist independently at each apiserver. The value must be
  // positive.  Setting it to 1 effectively precludes
  // shufflesharding and thus makes the distinguisher method of
  // associated flow schemas irrelevant.  This field has a default
  // value of 64.
  // +optional
  optional int32 queues = 1;

  // `handSize` is a small positive number that configures the

    double ySumOfSquaresOfDeltas = yStats.sumOfSquaresOfDeltas();
    checkState(xSumOfSquaresOfDeltas > 0.0);
    checkState(ySumOfSquaresOfDeltas > 0.0);
    // The product of two positive numbers can be zero if the multiplication underflowed. We
    // force a positive value by effectively rounding up to MIN_VALUE.
    double productOfSumsOfSquaresOfDeltas =
        ensurePositive(xSumOfSquaresOfDeltas * ySumOfSquaresOfDeltas);

      }
    }
    return HashCode.fromBytesNoCopy(resultBytes);
  }

  /** Checks that the passed argument is positive, and ceils it to a multiple of 32. */
  static int checkPositiveAndMakeMultipleOf32(int bits) {
    checkArgument(bits > 0, "Number of bits must be positive");
    return (bits + 31) & ~31;
  }

  /**

  // queues exist independently at each apiserver. The value must be
  // positive.  Setting it to 1 effectively precludes
  // shufflesharding and thus makes the distinguisher method of
  // associated flow schemas irrelevant.  This field has a default
  // value of 64.
  // +optional
  optional int32 queues = 1;

  // `handSize` is a small positive number that configures the