"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",

    }

    char[] chars = string.toCharArray();
    int spread = 1;

    // This unusual loop comes from extensive benchmarking
    OUT:
    while (true) {
      pos++;
      while (true) {
        if (pos == chars.length) {
          break OUT;
        }
        if (matches(chars[pos])) {
          break;
        }
        chars[pos - spread] = chars[pos];
        pos++;
      }
      spread++;

    }

    char[] chars = string.toCharArray();
    int spread = 1;

    // This unusual loop comes from extensive benchmarking
    OUT:
    while (true) {
      pos++;
      while (true) {
        if (pos == chars.length) {
          break OUT;
        }
        if (matches(chars[pos])) {
          break;
        }
        chars[pos - spread] = chars[pos];
        pos++;
      }
      spread++;

   * 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.
   *

   * 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...

- Added a one-time random duration of up to 50% of kubelet's `nodeStatusReportFrequency` to help spread the node status update load evenly over time. ([#128640](https://github.com/kubernetes/kubernetes/pull/128640), [@mengqiy](https://github.com/mengqiy))