- The calculations for Pod topology spread skew now exclude nodes that
  don't match the node affinity/selector. This may lead to unschedulable pods if you previously had pods
  matching the spreading selector on those excluded nodes (not matching the node affinity/selector),
  especially when the `topologyKey` is not node-level. Revisit the node affinity and/or pod selector in the

#### Cluster Selection
* [alpha] Federation [ClusterSelector annotation](https://kubernetes.io/docs/tasks/administer-federation/cluster/#clusterselector-annotation) to direct objects to federated clusters with matching labels.


### **Instrumentation**
#### Core Metrics API

* Webhook always retries connection reset error. ([#53947](https://github.com/kubernetes/kubernetes/pull/53947), [@crassirostris](https://github.com/crassirostris))
* Adjust batching audit webhook default parameters: increase queue size, batch size, and initial backoff. Add throttling to the batching audit webhook. Default rate limit is 10 QPS. ([#53417](https://github.com/kubernetes/kubernetes/pull/53417), [@crassirostris](https://github.com/crassirostris))

native find if supported\n  if (Array.prototype.find) {\n    return arr.find(check);\n  }\n\n  // use `filter` to obtain the same behavior of `find`\n  return arr.filter(check)[0];\n}\n","import find from './find';\n\n/**\n * Return the index of the matching object\n * @method\n * @memberof Popper.Utils\n * @argument {Array} arr\n * @argument prop\n * @argument value\n * @returns index or -1\n */\nexport default function findIndex(arr, prop, value) {\n  // use native findIndex if supported\n  if (Ar...

- Namespace API objects now have a `kubernetes.io/metadata.name` label matching their metadata.name field to allow selecting any namespace by its name using a label selector. ([#96968](https://github.com/kubernetes/kubernetes/pull/96968), [@jayunit100](https://github.com/jayunit100)) [SIG API Machinery, Apps, Cloud Provider,...

// DT_RESOURCE. The string serialization is converted back to a
// ResourceHandle during Session run where the TF_Tensor is converted to a
// Tensor.
// TFv2 does not depend on this conversion. There is no matching
// TF_TensorFromTensorV1 because the conversion to string is performed by the
// python side of Session.
static Status TF_TensorToTensorV1(const TF_Tensor* src, Tensor* dst) {
  Status status = TF_TensorToTensor(src, dst);

* kubectl cp now safely allows unpacking of symlinks that may point outside the destination directory ([#82384](https://github.com/kubernetes/kubernetes/pull/82384), [@tallclair](https://github.com/tallclair))
* fix azure disk naming matching issue due to case sensitive comparison ([#81720](https://github.com/kubernetes/kubernetes/pull/81720), [@andyzhangx](https://github.com/andyzhangx))

* When prompting for passwords, don't echo to the terminal ([#31586](https://github.com/kubernetes/kubernetes/pull/31586), [@brendandburns](https://github.com/brendandburns))
* add group prefix matching for kubectl usage ([#32140](https://github.com/kubernetes/kubernetes/pull/32140), [@deads2k](https://github.com/deads2k))

    HISTORICAL_PERFORMANCE("Historical Performance", "Once a week: Run performance tests for multiple Gradle versions", "HistoricalPerformance"),
    EXPERIMENTAL_VFS_RETENTION("Experimental FS Watching", "On demand checks to run tests with file system watching enabled", "ExperimentalVfsRetention"),
    EXPERIMENTAL_PERFORMANCE("Experimental Performance", "Try out new performance test running", "ExperimentalPerformance");

    val id: String

researchers push the state-of-the-art in ML and developers easily build and
deploy ML-powered applications.

TensorFlow was originally developed by researchers and engineers working within
the Machine Intelligence team at Google Brain to conduct research in machine
learning and neural networks. However, the framework is versatile enough to be
used in other areas as well.

TensorFlow provides stable [Python](https://www.tensorflow.org/api_docs/python)