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 {

// 2. Redistributions in binary form must reproduce the above copyright
//    notice, this list of conditions and the following disclaimer in the
//    documentation and/or other materials provided with the distribution.
//
// THIS SOFTWARE IS PROVIDED BY THE AUTHOR AND CONTRIBUTORS ``AS IS'' AND
// ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE

	// Calculate full object size.
	var objectSize int64

	// Calculate consolidated actual size.
	var objectActualSize int64

	// Order online disks in accordance with distribution order.
	// Order parts metadata in accordance with distribution order.
	onlineDisks, partsMetadata = shuffleDisksAndPartsMetadataByIndex(onlineDisks, partsMetadata, fi)

	// Save current erasure metadata for validation.
	currentFI := fi

          "interval": "",
          "intervalFactor": 1,
          "legendFormat": "{{bucket,range}}",
          "refId": "A",
          "step": 300
        }
      ],
      "title": "Object Size Distribution",
      "type": "bargauge"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },
      "fieldConfig": {
        "defaults": {

should adjust their Linux configuration according to the recommendations in the
[GC guide](/doc/gc-guide#Linux_transparent_huge_pages), or switch to a Linux
distribution that disables transparent huge pages altogether.

Go 1.22 added contention on runtime-internal locks to the [`mutex`
profile](/pkg/runtime/pprof#Profile). Contention on these locks is always

 * constant time operations. Expected in the hashtable sense (depends on the hash function doing a
 * good job of distributing the elements to the buckets to a distribution not far from uniform), and
 * amortized since some operations can trigger a hash table resize.
 *
 * <p>Unlike {@code java.util.HashSet}, iteration is only proportional to the actual {@code size()},

}

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,

 * the components to explicitly register with one another (and thus be aware of each other). It is
 * designed exclusively to replace traditional Java in-process event distribution using explicit
 * registration. It is not a general-purpose publish-subscribe system, nor is it intended
 * for interprocess communication.
 *
 * <h2>Receiving Events</h2>
 *

    /**
     * Load balancing strategies for distributing operations across channels.
     */
    public enum LoadBalancingStrategy {
        /** Round-robin distribution */
        ROUND_ROBIN,
        /** Least connections */
        LEAST_CONNECTIONS,
        /** Random selection */
        RANDOM,
        /** Failover only (use primary until failure) */
        FAILOVER_ONLY

	// 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{})