- Migrate `volume/csi/csi-client.go` logs to structured logging. ([#99441](https://github.com/kubernetes/kubernetes/pull/99441), [@CKchen0726](https://github.com/CKchen0726))
- Migrate statefulset files to structured logging ([#106109](https://github.com/kubernetes/kubernetes/pull/106109), [@h4ghhh](https://github.com/h4ghhh))

    * Ponieważ struktury danych Pydantic to po prostu instancje klas, które definiujesz; autouzupełnianie, linting, mypy i twoja intuicja powinny działać poprawnie z Twoimi zwalidowanymi danymi.
* Walidacja **złożonych struktur**:
    * Wykorzystanie hierarchicznych modeli Pydantic, Pythonowego modułu `typing` zawierającego `List`, `Dict`, itp.

* ♻️ Refactor and simplify internal `analyze_param()` to structure data with dataclasses instead of tuple. PR [#12099](https://github.com/fastapi/fastapi/pull/12099) by [@tiangolo](https://github.com/tiangolo).
* ♻️ Refactor and simplify dependencies data structures with dataclasses. PR [#12098](https://github.com/fastapi/fastapi/pull/12098) by [@tiangolo](https://github.com/tiangolo).

    * Doordat pydantic's datastructuren enkel instanties zijn van klassen, die je definieert, werkt automatische aanvulling, linting, mypy en je intuïtie allemaal goed met je gevalideerde data.
* Valideer **complexe structuren**:
    * Gebruik van hiërarchische Pydantic modellen, Python `typing`'s `List` en `Dict`, enz.

This way, its schema will show up in the API docs user interface:

<img src="/img/tutorial/dataclasses/image01.png">

## Dataclasses in Nested Data Structures { #dataclasses-in-nested-data-structures }

You can also combine `dataclasses` with other type annotations to make nested data structures.

    target.
  
    The comment references an issue with `pure = select(...)` which appears
    to be resolved considering this now builds.
  
  - make kube::util::find-binary not dependent on bazel-out/ structure
  
    Implement an aspect that outputs go_build_mode metadata for go binaries,

 *
 * <p>It uses {@code Map} and {@code Queue} data structures to hold the data. The class provides
 * methods to add, remove, clear, and retrieve data from these structures.
 *
 * <p>The class is thread-safe due to the use of {@code synchronized} keyword on methods that
 * modify the internal data structures. The internal maps are also declared as {@code volatile}
 * to ensure visibility of changes across threads.

If something seems interesting and useful to your project, go ahead and check it, but otherwise, you might probably just skip them.

/// tip

If you want to **learn FastAPI** in a structured way (recommended), go and read the [Tutorial - User Guide](../tutorial/index.md){.internal-link target=_blank} chapter by chapter instead.

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### Estructura de archivos del proyecto

Supongamos que la estructura de archivos de tu proyecto se ve así:

```
.
├── app
│   ├── __init__.py
│   ├── main.py
```

Ahora crea un directorio para almacenar esos archivos estáticos.

Tu nueva estructura de archivos podría verse así:

```
.
├── app
│   ├── __init__.py