*/

package com.google.common.hash;

import static com.google.common.hash.Hashing.murmur3_32;
import static com.google.common.hash.Hashing.murmur3_32_fixed;
import static java.nio.charset.StandardCharsets.UTF_16;
import static java.nio.charset.StandardCharsets.UTF_16LE;
import static java.nio.charset.StandardCharsets.UTF_8;

import com.google.common.hash.HashTestUtils.HashFn;
import java.nio.charset.Charset;

 *
 * <ul>
 *   <li>size: The length of the byte array to hash.
 *   <li>algorithm: the algorithm to hash with (e.g. MD5, SHA1, etc.).
 *   <li>hashMethod: how to hash the data (using the Hashing API or the MessageDigest API).
 * </ul>
 *
 * @author Kurt Alfred Kluever
 */
public class MessageDigestAlgorithmBenchmark {
  @Param({"10", "1000", "100000", "1000000"})
  int size;

 *
 * <ul>
 *   <li>size: The length of the byte array to hash.
 *   <li>algorithm: the algorithm to hash with (e.g. MD5, SHA1, etc.).
 *   <li>hashMethod: how to hash the data (using the Hashing API or the MessageDigest API).
 * </ul>
 *
 * @author Kurt Alfred Kluever
 */
public class MessageDigestAlgorithmBenchmark {
  @Param({"10", "1000", "100000", "1000000"})
  int size;

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.google.common.hash;

import com.google.caliper.BeforeExperiment;
import com.google.caliper.Benchmark;
import com.google.caliper.Param;
import java.util.Random;
import java.util.zip.Adler32;
import java.util.zip.CRC32;

// each authentication attempt.
type XDGSCRAMClient struct {
	*scram.Client
	*scram.ClientConversation
	scram.HashGeneratorFcn
}

// Begin constructs a SCRAM client component based on a given hash.Hash
// factory receiver.  This constructor will normalize the username, password
// and authzID via the SASLprep algorithm, as recommended by RFC-5802.  If
// SASLprep fails, the method returns an error.

          new Sink(4).putUnencodedChars(s).hash(),
          new Sink(4).putBytes(s.getBytes(UTF_16LE)).hash());
      assertEquals(
          new Sink(4).putUnencodedChars(s).hash(), new Sink(4).putString(s, UTF_16LE).hash());
    }
  }

  public void testFloat() {
    Sink sink = new Sink(4);
    sink.putFloat(Float.intBitsToFloat(0x04030201));
    HashCode unused = sink.hash();
    sink.assertInvariants(4);

	expectedMax int64

	size       int64
	actualSize int64

	checksum      etag.ETag
	contentSHA256 []byte

	// Content checksum
	contentHash   Checksum
	contentHasher hash.Hash
	disableMD5    bool

	trailer http.Header

	sha256 hash.Hash
}

// Options are optional arguments to NewReaderWithOpts, Options
// simply converts positional arguments to NewReader() into a

   *   <li>another java.util.Set delegate implementation. In most modern JDKs, normal java.util hash
   *       collections intelligently fall back to a binary search tree if hash table collisions are
   *       detected. Rather than going to all the trouble of reimplementing this ourselves, we
   *       simply switch over to use the JDK implementation wholesale if probable hash flooding is

      }
    }

    return !iteratorA.hasNext() && !iteratorB.hasNext();
  }

  @Override
  protected int doHash(Iterable<T> iterable) {
    int hash = 78721;
    for (T element : iterable) {
      hash = hash * 24943 + elementEquivalence.hash(element);
    }
    return hash;
  }

  @Override
  public boolean equals(@CheckForNull Object object) {
    if (object instanceof PairwiseEquivalence) {

  static class Element implements Comparable<Element> {
    final int hash;

    Element(int hash) {
      this.hash = hash;
    }

    @Override
    public boolean equals(@Nullable Object obj) {
      return this == obj || (obj instanceof Element && ((Element) obj).hash == hash);
    }

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

    @Override