val requestFinished = CountDownLatch(2)
    val dispatcher: QueueDispatcher =
      object : QueueDispatcher() {
        override fun dispatch(request: RecordedRequest): MockResponse {
          if (peek().onResponseStart is CloseSocket) {
            requestFinished.await()
          }
          return super.dispatch(request)
        }
      }
    dispatcher.enqueue(MockResponse(body = "seed connection pool"))

- Add support for cgroups v2 node validation ([#89901](https://github.com/kubernetes/kubernetes/pull/89901), [@neolit123](https://github.com/neolit123)) [SIG Cluster Lifecycle and Node]
- Add support for pre allocated huge pages with different sizes, on node level ([#89252](https://github.com/kubernetes/kubernetes/pull/89252), [@odinuge](https://github.com/odinuge)) [SIG Apps and Node]

- Fixes a 1.34+ regression in ipvs and winkernel kube-proxy backends; these are now reverted back to their
  pre-1.34 behavior of regularly rechecking all of their rules even when no

coords for i := 62; i >= 0; i-- { tmp2.FromP1xP1(tmp1) // tmp2 = (prev) in P2 coords tmp1.Double(tmp2) // tmp1 = 2*(prev) in P1xP1 coords tmp2.FromP1xP1(tmp1) // tmp2 = 2*(prev) in P2 coords tmp1.Double(tmp2) // tmp1 = 4*(prev) in P1xP1 coords tmp2.FromP1xP1(tmp1) // tmp2 = 4*(prev) in P2 coords tmp1.Double(tmp2) // tmp1 = 8*(prev) in P1xP1 coords tmp2.FromP1xP1(tmp1) // tmp2 = 8*(prev) in P2 coords tmp1.Double(tmp2) // tmp1 = 16*(prev) in P1xP1 coords v.fromP1xP1(tmp1) // v = 16*(prev) in P3 coords...

- Scheduling Framework: expose Run[Pre]ScorePlugins functions to PreemptionHandle which can be used in PostFilter extension point. ([#93534](https://github.com/kubernetes/kubernetes/pull/93534), [@everpeace](https://github.com/everpeace)) [SIG Scheduling and Testing]

   ([#123413](https://github.com/kubernetes/kubernetes/pull/123413), [@seans3](https://github.com/seans3))
- A new flag called `custom` has been introduced in `kubectl debug`, allowing users to customize pre-defined profiles. ([#120346](https://github.com/kubernetes/kubernetes/pull/120346), [@ardaguclu](https://github.com/ardaguclu))

    * Add [`tf.data.experimental.get_model_proto`](https://www.tensorflow.org/api_docs/python/tf/data/experimental/get_model_proto) to allow users to peek into the analytical model inside of a dataset iterator.

* `tf.lite`
    * `Dequantize` op supports `TensorType_INT4`.
        * This change includes per-channel dequantization.

## Changes by Kind

### Deprecation

- Kubeadm: added the "--cleanup-tmp-dir" flag for `kubeadm reset`. It will cleanup the contents of `/etc/kubernetes/tmp`. The...

- Kubectl: restored `--dry-run`, `--dry-run=true`, and `--dry-run=false` for compatibility with pre-1.23 invocations. ([#107003](https://github.com/kubernetes/kubernetes/pull/107003), [@julianvmodesto](https://github.com/julianvmodesto))