|----------------------------------------|--------------------------------------------------------------|--------|
| `minio_cluster_config_rrs_parity`      | Reduced redundancy storage class parity. <br><br>Type: gauge |        |
| `minio_cluster_config_standard_parity` | Standard storage class parity. <br><br>Type: gauge           |        |

#### `/cluster/erasure-set`

	if len(topE.Children) > dataScannerForceCompactAtFolders {
		// If we still have too many children, compact self.
		scannerLogOnceIf(GlobalContext, fmt.Errorf("forceCompact: %q has %d children. Force compacting. Expect reduced scanner performance", d.Info.Name, len(topE.Children)), d.Info.Name)
		d.reduceChildrenOf(hashPath(d.Info.Name), limit, true)
	}
	if len(d.Cache) <= limit {
		return
	}

	// Check for abandoned entries.

// acceptable quorum expected for list operations
func getListQuorum(quorum string, driveCount int) int {
	switch quorum {
	case "disk":
		return 1
	case "reduced":
		return 2
	case "optimal":
		return (driveCount + 1) / 2
	case "auto":
		return -1
	}
	// defaults to 'strict'
	return driveCount
}

			}
			if isEncrypted {
				decrypt = func(b []byte) ([]byte, error) {
					return oi.compressionIndexDecrypt(b, h)
				}
			}
			// In case of range based queries on multiparts, the offset and length are reduced.
			off, decOff, firstPart, decryptSkip, seqNum = getCompressedOffsets(oi, off, decrypt)
			decLength = length
			length = oi.Size - off
			// For negative length we read everything.
			if decLength < 0 {

lock {\n  width: 100%;\n}\n\n.fade {\n  transition: opacity 0.15s linear;\n}\n\n@media (prefers-reduced-motion: reduce) {\n  .fade {\n    transition: none;\n  }\n}\n\n.fade:not(.show) {\n  opacity: 0;\n}\n\n.collapse:not(.show) {\n  display: none;\n}\n\n.collapsing {\n  position: relative;\n  height: 0;\n  overflow: hidden;\n  transition: height 0.35s ease;\n}\n\n@media (prefers-reduced-motion: reduce) {\n  .collapsing {\n    transition: none;\n  }\n}\n\n.dropup,\n.dropright,\n.dropdown,\n.dropleft...

ype=button].btn-block,input[type=reset].btn-block,input[type=submit].btn-block{width:100%}.fade{transition:opacity .15s linear}@media (prefers-reduced-motion:reduce){.fade{transition:none}}.fade:not(.show){opacity:0}.collapse:not(.show){display:none}.collapsing{position:relative;height:0;overflow:hidden;transition:height .35s ease}@media (prefers-reduced-motion:reduce){.collapsing{transition:none}}.dropdown,.dropleft,.dropright,.dropup{position:relative}.dropdown-toggle{white-space:nowrap}.dropd...

### SIG Auth

- Reduced GCE log rotation check from 1 hour to every 5 minutes.  Rotation policy is unchanged (new day starts, log file size > 100MB). ([#72062](https://github.com/kubernetes/kubernetes/pull/72062), [@jpbetz](https://github.com/jpbetz))

### Network

- Reduced duration to sync proxy rules on Windows `kube-proxy` when using `kernelspace` mode. ([#109124](https://github.com/kubernetes/kubernetes/pull/109124), [@daschott](https://github.com/daschott))

        and `tf.data.Dataset.with_options()` respectively.
    *   New `tf.data.Dataset.reduce()` API allows users to reduce a finite
        dataset to a single element using a user-provided reduce function.
    *   New `tf.data.Dataset.window()` API allows users to create finite windows
        of input dataset; when combined with the `tf.data.Dataset.reduce()` API,
        this allows users to implement customized batching.