"application/vnd.kde.kchart",
				"application/vnd.kde.kformula",
				"application/vnd.kde.kivio",
				"application/vnd.kde.kontour",
				"application/vnd.kde.kpresenter",
				"application/vnd.kde.kspread",
				"application/vnd.kde.kword",
				"application/vnd.kenameaapp",
				"application/vnd.kidspiration",
				"application/vnd.kinar",
				"application/vnd.koan",
				"application/vnd.kodak-descriptor",

    <_comment>KPresenter File</_comment>
    <glob pattern="*.kpr"/>
    <glob pattern="*.kpt"/>
  </mime-type>

  <mime-type type="application/vnd.kde.kspread">
    <alias type="application/x-kspread"/>
    <_comment>KSpread File</_comment>
    <glob pattern="*.ksp"/>
  </mime-type>

  <mime-type type="application/vnd.kde.kword">
    <alias type="application/x-kword"/>

type readOp int8

// Don't use iota for these, as the values need to correspond with the
// names and comments, which is easier to see when being explicit.
const (
	opRead      readOp = -1 // Any other read operation.
	opInvalid   readOp = 0  // Non-read operation.
	opReadRune1 readOp = 1  // Read rune of size 1.
	opReadRune2 readOp = 2  // Read rune of size 2.

                                localFailures = 0; // Reset on success
                            }

                            Thread.sleep(5); // Small delay to spread out requests
                        }
                        successfulThreads.incrementAndGet();
                    } catch (Exception e) {
                        exceptionCount.incrementAndGet();

		setCounts = possibleSetCountsWithSymmetry(setCounts, argPatterns)

		if len(setCounts) == 0 {
			msg := fmt.Sprintf("No symmetric distribution detected with input endpoints provided %s, drives %d cannot be spread symmetrically by any supported erasure set sizes %d", args, commonSize, setSizes)
			return nil, config.ErrInvalidNumberOfErasureEndpoints(nil).Msg(msg)
		}

		// Final set size with all the symmetry accounted for.

   * of reads may not be immediately reflected on the algorithm's data structures. These structures
   * are guarded by a lock and operations are applied in batches to avoid lock contention. The
   * penalty of applying the batches is spread across threads so that the amortized cost is slightly
   * higher than performing just the operation without enforcing the capacity constraint.
   *

   * of reads may not be immediately reflected on the algorithm's data structures. These structures
   * are guarded by a lock and operations are applied in batches to avoid lock contention. The
   * penalty of applying the batches is spread across threads so that the amortized cost is slightly
   * higher than performing just the operation without enforcing the capacity constraint.
   *

- The Kubernetes API server merged selectors built from `matchLabelKeys` into the `labelSelector` of `topologySpreadConstraints`, aligning Pod Topology Spread behavior with Inter-Pod Affinity. To prevent breaking existing Pods using `matchLabelKeys`, this scheduler behavior was preserved until v1.34. Upgrades from v1.32 to v1.34 should be done incrementally (v1.32 → v1.33 → v1.34), ensuring Pods created...

- User can choose a different static policy option `SpreadPhysicalCPUsPreferredOption` to spread cpus across physical cpus for some specific applications ([#123733](https://github.com/kubernetes/kubernetes/pull/123733), [@Jeffwan](https://github.com/Jeffwan)) [SIG Node]

- The scheduler skips the `PodTopologySpread` Filter plugin if no spread constraints.
  It will affect some metrics values related to the `PodTopologySpread` Filter plugin. ([#117683](https://github.com/kubernetes/kubernetes/pull/117683), [@utam0k](https://github.com/utam0k))