*/
public class HashingOutputStreamTest extends TestCase {
  private Hasher hasher;
  private HashFunction hashFunction;
  private final ByteArrayOutputStream buffer = new ByteArrayOutputStream();

  @SuppressWarnings("DoNotMock")
  @Override
  protected void setUp() throws Exception {
    super.setUp();
    hasher = mock(Hasher.class);
    hashFunction = mock(HashFunction.class);

    super(checkNotNull(in));
    this.hasher = checkNotNull(hashFunction.newHasher());
  }

  /**
   * Reads the next byte of data from the underlying input stream and updates the hasher with the
   * byte read.
   */
  @Override
  @CanIgnoreReturnValue
  public int read() throws IOException {
    int b = in.read();
    if (b != -1) {
      hasher.putByte((byte) b);
    }
    return b;
  }

  /**

  public void testPutAfterHash() {
    Hasher hasher = Hashing.hmacMd5(MD5_KEY).newHasher();

    assertEquals(
        "9753980fe94daa8ecaa82216519393a9",
        hasher.putString("The quick brown fox jumps over the lazy dog", UTF_8).hash().toString());
    assertThrows(IllegalStateException.class, () -> hasher.putInt(42));
  }

  public void testHashTwice() {
    Hasher hasher = Hashing.hmacMd5(MD5_KEY).newHasher();

# their dependencies. It's a rewritten version of the "smoke test", an older
# Python script that was very difficult to understand. See
# https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/pip_package/pip_smoke_test.py
@test "Pip package includes all required //tensorflow dependencies" {
  # grep patterns for packages whose dependencies can be ignored

  - [Deployment based on MinIO Helm Chart](https://github.com/helm/charts/tree/master/stable/minio)

## **3. Configure Hadoop, Spark, Hive to use MinIO**

After successful installation navigate to the Ambari UI `http://<ambari-server>:8080/` and login using the default credentials: [**_username: admin, password: admin_**]

![ambari-login](https://github.com/minio/minio/blob/master/docs/bigdata/images/image3.png?raw=true "ambari login")

public class MappedList<U, V> extends AbstractList<U> {
    private final List<V> list;
    private final Function<V, U> mapper;

    public MappedList(List<V> list, Function<V, U> mapper) {
        this.list = list;
        this.mapper = mapper;
    }

    @Override
    public U get(int index) {
        return mapper.apply(list.get(index));
    }

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

 */
public class HashingInputStreamTest extends TestCase {
  private Hasher hasher;
  private HashFunction hashFunction;
  private static final byte[] testBytes = new byte[] {'y', 'a', 'm', 's'};
  private ByteArrayInputStream buffer;

  @SuppressWarnings("DoNotMock")
  @Override
  protected void setUp() throws Exception {
    super.setUp();
    hasher = mock(Hasher.class);
    hashFunction = mock(HashFunction.class);

    super(checkNotNull(out));
    this.hasher = checkNotNull(hashFunction.newHasher());
  }

  @Override
  public void write(int b) throws IOException {
    hasher.putByte((byte) b);
    out.write(b);
  }

  @Override
  public void write(byte[] bytes, int off, int len) throws IOException {
    hasher.putBytes(bytes, off, len);
    out.write(bytes, off, len);
  }

  /**

![Grafana](https://raw.githubusercontent.com/minio/minio/master/docs/metrics/prometheus/grafana/grafana-minio.png)

Node level Replication metrics can be viewed in the Grafana dashboard using [json file here](https://raw.githubusercontent.com/minio/minio/master/docs/metrics/prometheus/grafana/replication/minio-replication-node.json)

 * @author Dimitris Andreou
 */
@Immutable
@ElementTypesAreNonnullByDefault
abstract class AbstractNonStreamingHashFunction extends AbstractHashFunction {
  @Override
  public Hasher newHasher() {
    return newHasher(32);
  }

  @Override
  public Hasher newHasher(int expectedInputSize) {
    Preconditions.checkArgument(expectedInputSize >= 0);
    return new BufferingHasher(expectedInputSize);
  }

  @Override