with 4 drives we get a total of 256 possible sets. So algorithm automatically chooses 64 sets, which is *16* 64 = 1024* drives in total.

- *If total number of nodes are of odd number then GCD algorithm provides affinity towards odd number erasure sets to provide for uniform distribution across nodes*. This is to ensure that same number of drives are pariticipating in any erasure set. For example if you have 2 nodes with 180 drives then GCD is 15 but this would lead to uneven distribution,...

        this.initialCredits = initialCredits;
    }

    /**
     * Get number of credits granted by peer
     *
     * @return granted credits
     */
    public int getCreditsGranted() {
        return creditsGranted;
    }

    /**
     * Set number of credits granted by peer
     *
     * @param creditsGranted credits granted
     */

)

var (
	auditFailedMessagesMD = NewCounterMD(auditFailedMessages,
		"Total number of messages that failed to send since start",
		targetID)
	auditTargetQueueLengthMD = NewGaugeMD(auditTargetQueueLength,
		"Number of unsent messages in queue for target",
		targetID)
	auditTotalMessagesMD = NewCounterMD(auditTotalMessages,
		"Total number of messages sent since start",
		targetID)
)

     *            The index of the {@link PropertyDesc}
     * @return {@link PropertyDesc}
     */
    PropertyDesc getPropertyDesc(int index);

    /**
     * Returns the number of {@link PropertyDesc}.
     *
     * @return The number of {@link PropertyDesc}
     */
    int getPropertyDescSize();

    /**
     * Returns an {@link Iterable} of {@link PropertyDesc}.
     *

	} else {
		for i := 0; i < len(unMarshalXLMeta.Parts); i++ {
			if unMarshalXLMeta.Parts[i].Number != jsoniterXLMeta.Parts[i].Number {
				t.Errorf("Expected the number of part %d to be \"%d\", got \"%d\".", i+1, unMarshalXLMeta.Parts[i].Number, jsoniterXLMeta.Parts[i].Number)
			}
			if unMarshalXLMeta.Parts[i].Size != jsoniterXLMeta.Parts[i].Size {

        if (o == null) {
            return null;
        } else if (o instanceof Double) {
            return (Double) o;
        } else if (o instanceof Number) {
            return Double.valueOf(((Number) o).doubleValue());
        } else if (o instanceof String) {
            return toDouble((String) o);
        } else if (o instanceof java.util.Date) {
            if (pattern != null) {

// Deletes `debug_info`.
TF_CAPI_EXPORT extern void TFE_DeleteTensorDebugInfo(
    TFE_TensorDebugInfo* debug_info);

// Returns the number of dimensions used to represent the tensor on its device.
// The number of dimensions used to represent the tensor on device can be
// different from the number returned by TFE_TensorHandleNumDims.
// The return value was current at the time of TFE_TensorDebugInfo creation.

        /**
         * Default constructor for ShareInfoCtr0.
         */
        public ShareInfoCtr0() {
        }

        /**
         * The number of shares in the array.
         */
        /**
         * The number of shares in the array.
         */
        public int count;
        /**
         * Array of ShareInfo0 structures containing share information.
         */

	ReplicaSize int64 `json:"replicaSize"`
	// Total failed operations including metadata updates for various time frames
	Failed madmin.TimedErrStats `json:"failed"`

	// Total number of completed operations
	ReplicatedCount int64 `json:"replicationCount"`
	// Total number of replica received
	ReplicaCount int64 `json:"replicaCount"`

	// in Queue stats for bucket - from qCache
	QStat InQueueMetric `json:"queued"`
	// Deprecated fields

  public void testNewArrayType_upperBoundedWildcard() {
    Type wildcard = Types.subtypeOf(Number.class);
    assertEquals(Types.subtypeOf(Number[].class), Types.newArrayType(wildcard));
  }

  public void testNewArrayType_lowerBoundedWildcard() {
    Type wildcard = Types.supertypeOf(Number.class);
    assertEquals(Types.supertypeOf(Number[].class), Types.newArrayType(wildcard));
  }

  public void testNewArrayType_serializable() {