- Extend kube-apiserver /readyz with new "informer-sync" check ensuring that internal informers are synced. ([#92644](https://github.com/kubernetes/kubernetes/pull/92644), [@wojtek-t](https://github.com/wojtek-t)) [SIG API Machinery and Testing]

less Refraction into the place _bh_, the Circle CJ by a Refraction still
less into the place _ci_, and so of the rest; by which means a new
Spectrum _pt_ inclined to the former PT is in like manner composed of
Circles lying in a right Line; and these Circles must be of the same
bigness with the former, because the breadths of all the Spectrums Y, PT
and _pt_ at equal distances from the Prisms are equal.

          "priorityClassName": {
            "description": "If specified, indicates the pod's priority. \"system-node-critical\" and \"system-cluster-critical\" are two special keywords which indicate the highest priorities with the former being the highest priority. Any other name must be defined by creating a PriorityClass object with that name. If not specified, the pod priority will be default or zero if there is no default.",
            "type": "string"

            calling this op is typically not necessary, as it is automatically
            used when computing the gradient of `tf.sparse.segment_sum`.
    *   Renaming of tensorflow::int64 to int_64_t in numerous places (the former
        is an alias for the latter) which could result in needing to regenerate
        selective op registration headers else execution would fail with
        unregistered kernels error.