for (String algorithmToTest : ALGORITHMS.keySet()) {
        assertMessageDigestHashing(HashTestUtils.ascii(stringToTest), algorithmToTest);
      }
    }
  }

  public void testPutAfterHash() {
    Hasher sha1 = Hashing.sha1().newHasher();

    assertEquals(
        "2fd4e1c67a2d28fced849ee1bb76e7391b93eb12",
        sha1.putString("The quick brown fox jumps over the lazy dog", Charsets.UTF_8)
            .hash()

          CharStreams.copy(reader, sb);
        }
        return sb.toString();
      }
    },
    // It really seems like this should be faster than TO_BYTE_ARRAY_NEW_STRING.  But it just isn't
    // my best guess is that the jdk authors have spent more time optimizing that callpath than this

          CharStreams.copy(reader, sb);
        }
        return sb.toString();
      }
    },
    // It really seems like this should be faster than TO_BYTE_ARRAY_NEW_STRING.  But it just isn't
    // my best guess is that the jdk authors have spent more time optimizing that callpath than this

   *
   * TODO(b/218700094): Ideally, get this to pass under Android. Failing that, convince ourselves
   * that the test isn't exposing a real problem with InterruptibleTask, one that could matter in
   * prod.
   */
  @AndroidIncompatible
  public void testInterruptIsSlow() throws Exception {
    final CountDownLatch isInterruptibleRegistered = new CountDownLatch(1);

  }

  @Override
  public HashCode hashBytes(ByteBuffer input) {
    return newHasher(input.remaining()).putBytes(input).hash();
  }

  @Override
  public Hasher newHasher(int expectedInputSize) {
    checkArgument(
        expectedInputSize >= 0, "expectedInputSize must be >= 0 but was %s", expectedInputSize);
    return newHasher();
  }

  @Param HashFunctionEnum hashFunctionEnum;

  private byte[] testBytes;

  @BeforeExperiment
  void setUp() {
    testBytes = new byte[size];
    random.nextBytes(testBytes);
  }

  @Benchmark
  int hasher(int reps) {
    HashFunction hashFunction = hashFunctionEnum.getHashFunction();
    int result = 37;
    for (int i = 0; i < reps; i++) {
      result ^= hashFunction.newHasher().putBytes(testBytes).hash().asBytes()[0];
    }

 * Otherwise, at least reduce <i>explicit</i> dependencies on this type by using lambda expressions
 * or method references instead of classes, leaving your code easier to migrate in the future.
 *
 * <p>See the Guava User Guide article on <a
 * href="https://github.com/google/guava/wiki/FunctionalExplained">the use of {@code Function}</a>.
 *
 * @author Kevin Bourrillion
 * @since 2.0

    b *= mul;
    return b;
  }

  /**
   * Computes intermediate hash of 32 bytes of byte array from the given offset. Results are
   * returned in the output array because when we last measured, this was 12% faster than allocating
   * new arrays every time.
   */
  private static void weakHashLength32WithSeeds(
      byte[] bytes, int offset, long seedA, long seedB, long[] output) {
    long part1 = load64(bytes, offset);

 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.google.common.testing.anotherpackage;

/** Does not check null, but should not matter since it's in a different package. */
@SuppressWarnings("unused") // For use by NullPointerTester
public class SomeClassThatDoesNotUseNullable {

  void packagePrivateButDoesNotCheckNull(String s) {}

  abstract ImmutableCollection<E> delegateCollection();

  @Override
  public boolean contains(@CheckForNull Object target) {
    // The collection's contains() is at least as fast as ImmutableList's
    // and is often faster.
    return delegateCollection().contains(target);
  }

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

  @Override
  public boolean isEmpty() {