return HashBiMap.this.containsKey(o);
    }

    @Override
    public boolean remove(@Nullable Object o) {
      int oHash = smearedHash(o);
      int entry = findEntryByKey(o, oHash);
      if (entry != ABSENT) {
        removeEntryKeyHashKnown(entry, oHash);
        return true;
      } else {
        return false;
      }
    }
  }

  @LazyInit private transient Set<V> valueSet;

	hash := hashPath(path)
	if d.Cache == nil {
		d.Cache = make(map[string]dataUsageEntry, 100)
	}
	d.Cache[hash.Key()] = e
	if parent != "" {
		phash := hashPath(parent)
		p := d.Cache[phash.Key()]
		p.addChild(hash)
		d.Cache[phash.Key()] = p
	}
}

// replaceHashed add or replaces an entry to the cache based on its hash.

    /**
     * Checks the whole hash table for poor hash distribution. Takes O(n) in the worst case, O(n /
     * log n) on average.
     *
     * <p>The online hash flooding detecting in RegularSetBuilderImpl.add can detect e.g. many
     * exactly matching hash codes, which would cause construction to take O(n^2), but can't detect

   * size of the input (in bytes). This is only important for non-streaming hash functions (hash
   * functions that need to buffer their whole input before processing any of it).
   */
  Hasher newHasher(int expectedInputSize);

  /**
   * Shortcut for {@code newHasher().putInt(input).hash()}; returns the hash code for the given

    // count == 0
    segment.setTableEntryForTesting(index, entry);
    assertThat(segment.get(key, hash)).isNull();
    assertFalse(segment.containsKey(key, hash));
    assertFalse(segment.containsValue(value));

    // count == 1
    segment.count++;
    assertThat(segment.get(key, hash)).isEqualTo(value);
    assertTrue(segment.containsKey(key, hash));
    assertTrue(segment.containsValue(value));

    // count == 0
    segment.setTableEntryForTesting(index, entry);
    assertThat(segment.get(key, hash)).isNull();
    assertFalse(segment.containsKey(key, hash));
    assertFalse(segment.containsValue(value));

    // count == 1
    segment.count++;
    assertThat(segment.get(key, hash)).isEqualTo(value);
    assertTrue(segment.containsKey(key, hash));
    assertTrue(segment.containsValue(value));

        String hash = "01010101010101010101010101010101";
        String value = "$H4sIAAAAAAAA_zMwNMALAXC7sg0gAAAA";
        assertEquals(value, documentHelper.encodeSimilarDocHash(hash));
        hash = "00101010010010100100101010001010";
        value = "$H4sIAAAAAAAA_zMwMARDCELQQApMAgAi5-3LIAAAAA";
        assertEquals(value, documentHelper.encodeSimilarDocHash(hash));

      return new byte[] {
        (byte) hash,
        (byte) (hash >> 8),
        (byte) (hash >> 16),
        (byte) (hash >> 24),
        (byte) (hash >> 32),
        (byte) (hash >> 40),
        (byte) (hash >> 48),
        (byte) (hash >> 56)
      };
    }

    @Override
    public int asInt() {
      return (int) hash;
    }

    @Override
    public long asLong() {

    return (bits + 31) & ~31;
  }

  /**
   * Returns a hash function which computes its hash code by concatenating the hash codes of the
   * underlying hash functions together. This can be useful if you need to generate hash codes of a
   * specific length.
   *
   * <p>For example, if you need 1024-bit hash codes, you could join two {@link Hashing#sha512} hash

    }

    /**
     * Gets the selected hash algorithm.
     *
     * @return the hash algorithm
     */
    public int getSelectedHashAlgorithm() {
        return selectedHashAlgorithm;
    }

    /**
     * Calculates hash according to SMB 3.1.1 preauth integrity specification.
     *
     * @param previousHash the previous hash in the chain
     * @param messageData the message data to hash