in mind. It is strongly typed and garbage-collected and has explicit
support for concurrent programming.  Programs are constructed from
<i>packages</i>, whose properties allow efficient management of
dependencies.
</p>

<p>
The syntax is compact and simple to parse, allowing for easy analysis
by automatic tools such as integrated development environments.
</p>

<h2 id="Notation">Notation</h2>
<p>

- Fix an ephemeral port exhaustion bug caused by improper connection management that occurred when a large number of objects were handled by kubectl while exec auth was in use. ([#112336](https://github.com/kubernetes/kubernetes/pull/112336), [@enj](https://github.com/enj)) [SIG API Machinery and Auth]

- Provider-specific Notes: vsphere: vsphere.conf - new option to disable credentials secret management for performance concerns ([#90836](https://github.com/kubernetes/kubernetes/pull/90836), [@Danil-Grigorev](https://github.com/Danil-Grigorev)) [SIG Cloud Provider]

        internal to AutoGraph.
    *   Improve shape inference for `tf.function` input arguments to unlock more
        Grappler optimizations in TensorFlow 2.x.
    *   Improve automatic control dependency management of resources by allowing
        resource reads to occur in parallel and synchronizing only on writes.
    *   Fix execution order of multiple stateful calls to `experimental_run_v2`
        in `tf.function`.