}

  VLOG(1) << "Running the dequeue op";
  TF_Output output{dequeue_op, 0};
  TF_Tensor* ret;
  TF_SessionRun(session, /*run_options*/ nullptr,
                // input related parameters
                /*inputs*/ nullptr, /*input_values*/ nullptr, /*ninputs*/ 0,
                // output related parameters
                /*outputs*/ &output, /*output_values*/ &ret,
                /*noutputs*/ 1,

)

// EnableQuiet - turns quiet option on.
func EnableQuiet() {
	color.TurnOff() // no colored outputs necessary in quiet mode.
	quietFlag = true
}

// EnableJSON - outputs logs in json format.
func EnableJSON() {
	color.TurnOff() // no colored outputs necessary in JSON mode.
	jsonFlag = true
	quietFlag = true
}

// EnableAnonymous - turns anonymous flag

    std::vector<MaybeParallelTensorOwned> outputs;
    outputs.reserve(t->num_tensors());
    for (int i = 0; i < t->num_tensors(); ++i) {
      TensorHandlePtr this_output(
          TFE_TensorHandleCopySharingTensor(t->tensor(i), status));
      outputs.emplace_back(std::move(this_output));
      if (TF_GetCode(status) != TF_OK) return result;
    }
    result.emplace(std::move(outputs));
    return result;
  }

FastAPI uses a **unique ID** for each *path operation*, it is used for the **operation ID** and also for the names of any needed custom models, for requests or responses.

You can customize that function. It takes an `APIRoute` and outputs a string.

For example, here it is using the first tag (you will probably have only one tag) and the *path operation* name (the function name).

 * </ul>
 *
 * <h2>Usage Example</h2>
 *
 * <pre>
 * {@code
 * Session session = ... // Obtain a Maven session
 * Packaging packaging = session.requirePackaging("jar");
 * System.out.println(packaging.getId()); // Outputs "jar"
 * }
 * </pre>
 *
 * @see org.apache.maven.api.Session#requirePackaging(String)
 * @see org.apache.maven.api.Project#getPackaging()
 * @see org.apache.maven.api.model.Model#getPackaging()
 * @since 4.0.0
 */

				return configWriter.PrintClusterDump(filter, outputFormat)
			default:
				return fmt.Errorf("output format %q not supported", outputFormat)
			}
		},
		ValidArgsFunction: completion.ValidPodsNameArgs(ctx),
	}

	clusterConfigCmd.PersistentFlags().StringVarP(&outputFormat, "output", "o", summaryOutput, "Output format: one of json|yaml|short")

  // ParallelDevice, and in turn runs one operation per component device with
  // its corresponding inputs from the input ParallelTensors. Wraps the
  // resulting per-device and per-output TFE_TensorHandles into one
  // ParallelTensor per output of the original operation.
  //
  // Attributes are forwarded to executed operations unmodified.
  //
  // The returned optional has a value if and only if `status` evaluates to

```

Use one of the following approaches to view job output:

View output in the Scala shell:

```
scala> counts.count()
364
```

To view the output from MinIO exit the Scala shell. View WordCount job status:

```
hadoop fs -ls s3a://testbucket/wordcount
```

The output should be similar to the following:

```
Found 3 items

            File outputDirectory = new File(project.getBuild().getOutputDirectory());

            // Check if the project is being built during this session, and if we can expect any output.
            // There is no need to check if the build has created any outputs, see MNG-2222.
            boolean projectCompiledDuringThisSession =
                    project.hasLifecyclePhase("compile") && COMPILE_PHASE_TYPES.contains(type);

    private final String[] inputs;

    private final String[] outputs;

    private String[] newInputs;

    private String[] newOutputs;

    public SynonymItem(final long id, final String[] inputs, final String[] outputs) {
        this.id = id;
        this.inputs = inputs;
        this.outputs = outputs;

        if (id == 0) {
            // create
            newInputs = inputs;