- Kubeadm: during join when a check is performed that a Node with the same name already exists in the cluster, make sure the NodeReady condition is properly validated ([#89602](https://github.com/kubernetes/kubernetes/pull/89602), [@kvaps](https://github.com/kvaps)) [SIG Cluster Lifecycle]

is an internal function that records the use of an approved // service. It does not override RecordNonApproved calls in the same span. // // It should be called by exposed functions that perform a whole cryptographic // alrgorithm (e.g. by Sum, not by New, unless a cryptographic Instantiate // algorithm is performed) and should be called after any checks that may cause // the function to error out or panic. func RecordApproved() { if getIndicator() == indicatorUnset { setIndicator(indicatorTrue) }...

    *   Added 16-bit support for `top_k`.

*   `tf.function`

    *   ConcreteFunction (`tf.types.experimental.ConcreteFunction`) as generated through `get_concrete_function` now performs holistic input validation similar to calling `tf.function` directly. This can cause breakages where existing calls pass Tensors with the wrong shape or omit certain non-Tensor arguments (including default values).

*   `tf.nn`

is an internal function that records the use of an approved // service. It does not override RecordNonApproved calls in the same span. // // It should be called by exposed functions that perform a whole cryptographic // alrgorithm (e.g. by Sum, not by New, unless a cryptographic Instantiate // algorithm is performed) and should be called after any checks that may cause // the function to error out or panic. func RecordApproved() { if getIndicator() == indicatorUnset { setIndicator(indicatorTrue) }...

async def read_items() -> list[Item]:
    return [
        Item(name="Portal Gun", price=42.0),
        Item(name="Plumbus", price=32.0),
    ]
```

FastAPI will use the return type annotation to perform:

* Data validation
* Automatic documentation
    * It could power automatic client generators
* **Data filtering**

Before this version it was only supported via the `response_model` parameter.