Key      []byte
	KmsCtx   kms.Context
	Checksum *hash.Checksum
	MD5Hex   string
}

// fanOutPutObject takes an input source reader and fans out multiple PUT operations
// based on the incoming fan-out request, a context cancellation by the caller
// would ensure all fan-out operations are canceled.

                    out.print( path );
                    out.print( name );
                    out.print( "\"><b>" );
                    out.print( name );
                    out.print( "</b></a>" );
                } else {
                    out.print( ";\" HREF=\"" );
                    out.print( path );
                    out.print( name );
                    out.print( "\"><b>" );

                    out.print(name);
                    out.print("\"><b>");
                    out.print(name);
                    out.print("</b></a>");
                }
                else {
                    out.print(";\" HREF=\"");
                    out.print(path);
                    out.print(name);
                    out.print("\"><b>");
                    out.print(name);

    ByteArrayDataOutput out = ByteStreams.newDataOutput(4);
    out.writeInt(0x12345678);
    out.writeInt(0x76543210);
    assertThat(out.toByteArray()).isEqualTo(bytes);
  }

  public void testNewDataOutput_writeLong() {
    ByteArrayDataOutput out = ByteStreams.newDataOutput();
    out.writeLong(0x1234567876543210L);
    assertThat(out.toByteArray()).isEqualTo(bytes);
  }

  public void testNewDataOutput_writeByteArray() {

  private LittleEndianDataOutputStream out = new LittleEndianDataOutputStream(baos);

  public void testWriteLittleEndian() throws IOException {

    /* Write out various test values in LITTLE ENDIAN FORMAT */
    out.write(new byte[] {-100, 100});
    out.writeBoolean(true);
    out.writeBoolean(false);
    out.writeByte(100);
    out.writeByte(-100);
    out.writeByte((byte) 200);
    out.writeChar('a');

  AbstractTensorHandlePtr model_out(model_outputs[0]);

  TF_Tensor* model_out_tensor;
  TF_RETURN_IF_ERROR(GetValue(model_out.get(), &model_out_tensor));
  int num_dims_out = TF_NumDims(model_out_tensor);
  TF_DeleteTensor(model_out_tensor);

  // If the output is a scalar, then return the scalar output
  if (num_dims_out == 0) {
    outputs[0] = model_out.release();
    return absl::OkStatus();
  }

    FileBackedOutputStream out = new FileBackedOutputStream(50);
    ByteSource source = out.asByteSource();

    if (JAVA_IO_TMPDIR.value().equals("/sdcard")) {
      assertThrows(IOException.class, () -> out.write(data));
      return;
    }
    out.write(data);
    assertTrue(Arrays.equals(data, source.read()));

    out.close();
    assertThrows(IOException.class, () -> out.write(42));

    int b = 'q';
    HashingOutputStream out = new HashingOutputStream(hashFunction, buffer);
    out.write(b);

    verify(hashFunction).newHasher();
    verify(hasher).putByte((byte) b);
    verifyNoMoreInteractions(hashFunction, hasher);
  }

  public void testWrite_putByteArray() throws Exception {
    byte[] buf = new byte[] {'y', 'a', 'm', 's'};
    HashingOutputStream out = new HashingOutputStream(hashFunction, buffer);

  EXPECT_EQ(out, b);
  EXPECT_EQ(calls, 3);
  TF_EXPECT_OK(ReadCache(&cache, "b", 8, n, &out));
  EXPECT_EQ(out, B);
  EXPECT_EQ(calls, 4);
  // All four blocks should be in the cache now.
  TF_EXPECT_OK(ReadCache(&cache, "a", 0, n, &out));
  EXPECT_EQ(out, a);
  TF_EXPECT_OK(ReadCache(&cache, "a", 8, n, &out));
  EXPECT_EQ(out, A);
  TF_EXPECT_OK(ReadCache(&cache, "b", 0, n, &out));
  EXPECT_EQ(out, b);

  private LittleEndianDataOutputStream out = new LittleEndianDataOutputStream(baos);

  public void testWriteLittleEndian() throws IOException {

    /* Write out various test values in LITTLE ENDIAN FORMAT */
    out.write(new byte[] {-100, 100});
    out.writeBoolean(true);
    out.writeBoolean(false);
    out.writeByte(100);
    out.writeByte(-100);
    out.writeByte((byte) 200);
    out.writeChar('a');