void testReadBytesWireFormatNoop() {
        byte[] buffer = new byte[10];
        int used = cmd.readBytesWireFormat(buffer, 0);
        assertEquals(0, used, "readBytesWireFormat is unimplemented and must return 0");
    }

    private static byte[] subArray(byte[] src, int offset, int length) {
        byte[] dst = new byte[length];
        System.arraycopy(src, offset, dst, 0, length);

            break;
        case Smb2Constants.SMB2_DIALECT_0300:
        case Smb2Constants.SMB2_DIALECT_0302:
            this.signingKey = Smb3KeyDerivation.deriveSigningKey(dialect, sessionKey, new byte[0] /* unimplemented */);
            this.algorithmName = "AESCMAC";
            this.provider = Crypto.getProvider();
            break;
        case Smb2Constants.SMB2_DIALECT_0311:
            if (preauthIntegrityHash == null) {

   * getAnnotatedBounds()} method, then its return type means it won't compile on Android, while if
   * we don't include the method, then the compiler will complain that an abstract method is
   * unimplemented. So instead we use a dynamic proxy to get an implementation. If the method being
   * called on the {@code TypeVariable} instance has the same name as one of the public methods of

TF_Library* TF_LoadPluggableDeviceLibrary(const char* library_filename,
                                          TF_Status* status) {
#if defined(IS_MOBILE_PLATFORM) || defined(IS_SLIM_BUILD)
  status->status = tensorflow::errors::Unimplemented(
      "PluggableDevice plugin functionality is not supported on mobile");
  return nullptr;
#else
  TF_Library* lib_handle = new TF_Library;
  static tensorflow::mutex mu(tensorflow::LINKER_INITIALIZED);

   * getAnnotatedBounds()} method, then its return type means it won't compile on Android, while if
   * we don't include the method, then the compiler will complain that an abstract method is
   * unimplemented. So instead we use a dynamic proxy to get an implementation. If the method being
   * called on the {@code TypeVariable} instance has the same name as one of the public methods of

    *   (since v2.7) Run `tf.scatter_nd` and other related scatter functions,
        such as `tf.tensor_scatter_nd_update`, on CPU (with significant
        performance penalty).
    *   Add determinism-unimplemented exception-throwing to the following ops.
        When op-determinism is expected (i.e. after
        `tf.config.experimental.enable_op_determinism` has been called), an