eager-friendly training step inside of a `tf.function`. With this
    *   All input types are converted to `Dataset`.
    *   The path assumes there is always a distribution strategy. when
        distribution strategy is not specified the path uses a no-op
        distribution strategy.
    *   The training step is wrapped in `tf.function` unless `run_eagerly=True`
        is set in compile. The single path execution code does not yet support

}

var (
	// {minio_node}_{tier}_{ttlb_seconds_distribution}
	tierTTLBMD = MetricDescription{
		Namespace: nodeMetricNamespace,
		Subsystem: tierSubsystem,
		Name:      ttlbDistribution,
		Help:      "Distribution of time to last byte for objects downloaded from warm tier",
		Type:      gaugeMetric,
	}

	// {minio_node}_{tier}_{requests_success}
	tierRequestsSuccessMD = MetricDescription{
		Namespace: nodeMetricNamespace,

	NSScanner(ctx context.Context, updates chan<- DataUsageInfo, wantCycle uint32, scanMode madmin.HealScanMode) error
	BackendInfo() madmin.BackendInfo
	Legacy() bool // Only returns true for deployments which use CRCMOD as its object distribution algorithm.
	StorageInfo(ctx context.Context, metrics bool) StorageInfo
	LocalStorageInfo(ctx context.Context, metrics bool) StorageInfo

	// Bucket operations.

    }

    @Test
    void testDistributionManagementStatus() throws Exception {
        SimpleProblemCollector result = validate("distribution-management-status.xml");

        assertViolations(result, 0, 1, 0);

        assertTrue(result.getErrors().get(0).contains("distributionManagement.status"));
    }

    @Test

	fi.Erasure = ErasureInfo{
		Algorithm:    erasureAlgorithm,
		DataBlocks:   dataBlocks,
		ParityBlocks: parityBlocks,
		BlockSize:    blockSizeV2,
		Distribution: hashOrder(object, dataBlocks+parityBlocks),
	}
	return fi
}

// ReadMultipleReq contains information of multiple files to read from disk.
type ReadMultipleReq struct {

	// large disk setups.
	endpointStrings []string

	// Total number of sets and the number of disks per set.
	setCount, setDriveCount int
	defaultParityCount      int

	poolIndex int

	// Distribution algorithm of choice.
	distributionAlgo string
	deploymentID     [16]byte

	lastConnectDisksOpTime time.Time
}

var staleUploadsCleanupIntervalChangedCh = make(chan struct{})

## **2. Prerequisites**

- Install Hortonworks Distribution using this [guide.](https://docs.hortonworks.com/HDPDocuments/Ambari-2.7.1.0/bk_ambari-installation/content/ch_Installing_Ambari.html)

## Dependencies

### Added
- github.com/distribution/reference: [v0.5.0](https://github.com/distribution/reference/tree/v0.5.0)

### Changed
- github.com/coredns/corefile-migration: [v1.0.20 → v1.0.21](https://github.com/coredns/corefile-migration/compare/v1.0.20...v1.0.21)
- github.com/docker/distribution: [v2.8.2+incompatible → v2.8.1+incompatible](https://github.com/docker/distribution/compare/v2.8.2...v2.8.1)

          </association>
        </field>
        <field xdoc.separator="blank">
          <name>distributionManagement</name>
          <version>4.0.0+</version>
          <description>Distribution information for a project that enables deployment of the site
            and artifacts to remote web servers and repositories respectively.</description>
          <association>
            <type>DistributionManagement</type>

   * population, this is an estimator of the population standard deviation of the population which
   * is less biased than {@link #populationStandardDeviation()} (the unbiased estimator depends on
   * the distribution). The count must be greater than one.
   *
   * <p>This is not guaranteed to return zero when the dataset consists of the same value multiple