/**
 * Implementation of FarmHash Fingerprint64, an open-source fingerprinting algorithm for strings.
 *
 * <p>Its speed is comparable to CityHash64, and its quality of hashing is at least as good.
 *
 * <p>Note to maintainers: This implementation relies on signed arithmetic being bit-wise equivalent
 * to unsigned arithmetic in all cases except:
 *
 * <ul>
 *   <li>comparisons (signed values can be negative)

  /** Stores the hash table mask as the number of bits needed to represent an index. */
  private void setHashTableMask(int mask) {
    int hashTableBits = Integer.SIZE - Integer.numberOfLeadingZeros(mask);
    metadata =
        CompactHashing.maskCombine(metadata, hashTableBits, CompactHashing.HASH_TABLE_BITS_MASK);
  }

  /** Gets the hash table mask using the stored number of hash table bits. */
  private int hashTableMask() {

  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 + ")";

   * tables, that otherwise encounter collisions for hash codes that do not differ in lower or upper
   * bits.
   *
   * @param h hash code
   */
  static int rehash(int h) {
    // Spread bits to regularize both segment and index locations,
    // using variant of single-word Wang/Jenkins hash.
    // TODO(kevinb): use Hashing/move this to Hashing?

            "0:1:2:3::4:5:6:7", // :: must remove at least one 0.
            "3ffe:0:0:0:0:0:0:0:1", // too many parts (9 instead of 8)
            "3ffe::10000", // hextet exceeds 16 bits
            "3ffe::goog",
            "3ffe::-0",
            "3ffe::+0",
            "3ffe::-1",
            ":",
            ":::",
            "::1.2.3",
            "::1.2.3.4.5",

            });
    assertThat(expected)
        .hasMessageThat()
        .isEqualTo("Could not create BloomFilter of 3327428144502 bits");
  }

  @AndroidIncompatible // OutOfMemoryError
  public void testLargeNumberOfInsertions() {
    // We use horrible FPPs here to keep Java from OOM'ing
    BloomFilter<String> unused =

            result *= n;
            result /= i;
          }
          return result;
        } else {
          int nBits = LongMath.log2(n, RoundingMode.CEILING);

          long result = 1;
          long numerator = n--;
          long denominator = 1;

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

          /*

      return MoreObjects.firstNonNull(existing, created);
    }

    @Override
    public int size() {
      return size;
    }
  }

  /** A bit mask were all bits are set. */
  private static final int ALL_SET = ~0;

  private static int ceilToPowerOfTwo(int x) {
    return 1 << IntMath.log2(x, RoundingMode.CEILING);
  }

  /*

    // The values here look like 111...11101...010 in binary, where the initial 111...1110 takes
    // up exactly as many bits as can be represented in the significand (24 for float, 53 for
    // double). That final 0 should be rounded up to 1 because the remaining bits make that number
    // slightly nearer.
    long floatConversionTest = 0xfffffe8000000002L;
    long doubleConversionTest = 0xfffffffffffff402L;

 * the License.
 */

package com.google.common.math;

import static com.google.common.base.Preconditions.checkArgument;
import static com.google.common.math.DoubleUtils.IMPLICIT_BIT;
import static com.google.common.math.DoubleUtils.SIGNIFICAND_BITS;
import static com.google.common.math.DoubleUtils.getSignificand;
import static com.google.common.math.DoubleUtils.isFinite;
import static com.google.common.math.DoubleUtils.isNormal;