// If the build section is present and the project directory is non-null, we should make
        // sure interpolation of the directories below uses translated paths.
        // Afterward, we'll double back and translate any paths that weren't covered during interpolation via the
        // code below...
        translatedPrefixes.add("build.directory");
        translatedPrefixes.add("build.outputDirectory");

MinIO needs a persistent volume to store configuration and application data. For testing purposes, you can launch MinIO by simply passing a directory (`/data` in the example below). This directory gets created in the container filesystem at the time of container start. But all the data is lost after container exits.

```sh
docker run \
  -p 9000:9000 \
  -p 9001:9001 \

    # /- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    # o applicationBehaviorMap: (NotRequired - Default map:{})
    #  The settings for Application Behavior.
    #  Elements of this map are as below:
    #   o isApplicationBehaviorProject: (NotRequired - Default false)
    #    Does the project is for application behaviors?
    #    This property is a main signal for Application Behavior.

  # A local firewall rule for the container is added in
  # ci/official/utilities/setup_docker.sh.
else
  # The volume mapping flag below shares the user's gcloud credentials, if any,
  # with the container, in case the user has credentials stored there.
  # This would allow Bazel to authenticate for RBE.
  # Note: TF's CI does not have any credentials stored there.

   
   Apparently, your CPU model does not support AVX instruction sets. You can still use TensorFlow with the alternatives given below:
   
      * Try Google Colab to use TensorFlow.

		}
		return fmt.Sprintf
	}()

	Blue = func() func(format string, a ...interface{}) string {
		if IsTerminal() {
			return color.New(color.FgBlue).SprintfFunc()
		}
		return fmt.Sprintf
	}()

	Yellow = func() func(format string, a ...interface{}) string {
		if IsTerminal() {
			return color.New(color.FgYellow).SprintfFunc()
		}
		return fmt.Sprintf
	}()

	Green = func() func(a ...interface{}) string {

const (
	ExitUnknownError   = 1 // for compatibility with existing exit code
	ExitIncorrectUsage = 64
	ExitDataError      = 65 // some format error with input data

	// below here are non-zero exit codes that don't indicate an error with istioctl itself
	ExitAnalyzerFoundIssues = 79 // istioctl analyze found issues, for CI/CD
)

func GetExitCode(e error) int {

But most importantly:

* It will **limit and filter** the output data to what is defined in the return type.
    * This is particularly important for **security**, we'll see more of that below.

## `response_model` Parameter

There are some cases where you need or want to return some data that is not exactly what the type declares.

				]
			},
			{
				"parallelizationMethod":{
					"name":"TestDistribution"
				},
				"subprojects":[
					"composite-builds",
					"internal-integ-testing",
					"jvm-services",
					"flow-services",
					"persistent-cache",
					"publish",
					"base-services",
					"process-memory-services",
					"problems-api",
					"plugins-java-base",
					"build-cache"
				]
			},
			{

            settingsBuilder.put("http.cors.enabled", true);
            settingsBuilder.put("discovery.type", "single-node");
        }).build(newConfigs().clusterName(clusterName).numOfNode(1));

        // wait for yellow status
        runner.ensureYellow();

        System.setProperty(FesenClient.HTTP_ADDRESS, "localhost:" + runner.node().settings().get("http.port", "9201"));

        super.setUp();
    }

    @Override