AbstractTensorHandle* exp_output;
  TF_RETURN_IF_ERROR(ops::Exp(ctx, inputs[0], &exp_output, "Exp"));
  std::unique_ptr<GradientFunction> gradient_function(
      new PassThroughGradientFunction);
  tape.RecordOperation(inputs, {exp_output}, gradient_function.release());
  TF_RETURN_IF_ERROR(tape.ComputeGradient(ctx,
                                          /*targets*/ {exp_output},

 * @example {{ readField('jvm', 'files') | nullToEmpty }}
 */
function nullToEmpty(input) {
    let output;
    if (input) {
        output = input;
    } else {
        output = [];
    }
    console.log("nullToEmpty: " + output);
    return output;
}

		}
	}

	// Open the input and create the output file
	input, err := os.Open(inputFileName)
	fatalErr(err)
	defer input.Close()
	output, err := os.Create(outputFileName)
	fatalErr(err)

	// Decrypt the inspect data
	msg := fmt.Sprintf("output written to %s", outputFileName)

	switch {
	case *keyHex != "":
		err = extractInspectV1(*keyHex, input, output, msg)
	case len(privateKey) != 0:

	msg := color.RedBold(entry.Trace.Message)
	output := fmt.Sprintf("\n%s\n%s%s%s%s%s%s\nError: %s%s\n%s",
		apiString, timeString, deploymentID, requestID, remoteHost, host, userAgent,
		msg, tagString, strings.Join(trace, "\n"))

	fmt.Fprintln(c.output, output)
	return nil
}

// New initializes a new logger target
// which prints log directly in the standard
// output.
func New(w io.Writer) *Target {

		if err != nil {
			return nil, err
		}

		// Pick output column names
		if expr.As != "" {
			output, err = output.Set(expr.As, v)
		} else if comp, ok := getLastKeypathComponent(expr.Expression); ok {
			output, err = output.Set(comp, v)
		} else {
			output, err = output.Set(fmt.Sprintf("_%d", i+1), v)
		}
		if err != nil {
			return nil, err
		}
	}

			// Print banner with or without the log tag
			if !tagPrinted {
				fmt.Fprint(Output, logBanner)
				tagPrinted = true
			} else {
				fmt.Fprint(Output, emptyBanner)
			}
			// Restore the text color of the error message
			ansiRestoreAttributes()
			ansiMoveRight(bannerWidth)
			// Continue  error message printing
			fmt.Fprintln(Output, line)
			break
		}
	}

	// Exit because this is a fatal error message

            throw new SmbException("Already closed");
        }

        if ( this.output != null ) {
            return this.output;
        }

        try ( SmbTreeHandleImpl th = ensureTreeConnected() ) {
            this.output = new SmbPipeOutputStream(this, th);
        }
        return this.output;
    }


    /**
     * 
     * {@inheritDoc}
     *

	cmd.SetOut(&out)
	cmd.SetErr(&out)

	fErr := cmd.Execute()
	output := out.String()

	if c.expectedOutput != "" && c.expectedOutput != output {
		t.Fatalf("Unexpected output for 'istioctl %s'\n got: %q\nwant: %q", strings.Join(c.args, " "), output, c.expectedOutput)
	}

	if c.expectedString != "" && !strings.Contains(output, c.expectedString) {

    return buffer.capacity() - buffer.limit();
  }

  /**
   * Flips the buffer output buffer so we can start reading bytes from it. If we are starting to
   * drain because there was overflow, and there aren't actually any characters to drain, then the
   * overflow must be due to a small output buffer.
   */
  private void startDraining(boolean overflow) {
    Java8Compatibility.flip(byteBuffer);

  const tensorflow::string output_op_name(
      tensorflow::ParseTensorName(output_name).first);
  TF_Operation* output_op =
      TF_GraphOperationByName(graph, output_op_name.c_str());
  ASSERT_TRUE(output_op != nullptr);
  csession.SetOutputs({output_op});
  csession.Run(s);
  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);

  TF_Tensor* out = csession.output_tensor(0);
  ASSERT_TRUE(out != nullptr);