* de la donnée soit envoyée par le client à travers le réseau
* de la donnée envoyée depuis votre programme soit reçue par le client à travers le réseau
* le contenu d'un fichier sur le disque soit lu par le système et passé à votre programme
* le contenu que votre programme a passé au système soit écrit sur le disque

By declaring types for your variables, editors and tools can give you better support.

This is just a **quick tutorial / refresher** about Python type hints. It covers only the minimum necessary to use them with **FastAPI**... which is actually very little.

**FastAPI** is all based on these type hints, they give it many advantages and benefits.

   ([#123508](https://github.com/kubernetes/kubernetes/pull/123508), [@saschagrunert](https://github.com/saschagrunert))
- Dynamic Resource Allocation: DRA drivers can now use "structured parameters" to let the scheduler handle claim allocation.
   ([#123516](https://github.com/kubernetes/kubernetes/pull/123516), [@pohly](https://github.com/pohly))

Because this code is executed before the application **starts** taking requests, and right after it **finishes** handling requests, it covers the whole application **lifespan** (the word "lifespan" will be important in a second 😉).

- `CSINodeExpandSecret` feature has been promoted to `GA` in this release and is enabled
  by default. The CSI drivers can make use of the `secretRef` values passed in `NodeExpansion`

        the already-constructed model instead.
    *   Code that requires very tricky shape manipulation via converted op
        layers in order to work, where the Keras symbolic shape inference proves
        insufficient.
    *   Code that tries manually walking a `tf.keras.Model` layer by layer and
        assumes layers only ever have one positional argument. This assumption