```{ .python .annotate hl_lines="2  10-12  14" }
{!../../../docs_src/custom_response/tutorial008.py!}
```

1. This is the generator function. It's a "generator function" because it contains `yield` statements inside.
2. By using a `with` block, we make sure that the file-like object is closed after the generator function is done. So, after it finishes sending the response.

  - author: Raf Rasenberg
    author_link: https://rafrasenberg.com/about/
    link: https://rafrasenberg.com/fastapi-lambda/
    title: 'FastAPI lambda container: serverless simplified'
  - author: Teresa N. Fontanella De Santis
    author_link: https://dev.to/
    link: https://dev.to/teresafds/authorization-on-fastapi-with-casbin-41og
    title: Authorization on FastAPI with Casbin

    The examples here use `.dict()` for compatibility with Pydantic v1, but you should use `.model_dump()` instead if you can use Pydantic v2.

!!! tip
    The SQLAlchemy model for `User` contains a `hashed_password` that should contain a secure hashed version of the password.

    But as what the API client provides is the original password, you need to extract it and generate the hashed password in your application.

* **Cloud-Dienste**, welche das für Sie erledigen

When the **container** is started and running (started from a **container image**) it could create or change files, environment variables, etc. Those changes will exist only in that container, but would not persist in the underlying container image (would not be saved to disk).

Wenn Sie in hier **mehrere Container** hätten, würde Prometheus beim **Lesen der Metriken** standardmäßig jedes Mal diejenigen für **einen einzelnen Container** abrufen (für den Container, der den spezifischen Request verarbeitet hat), anstatt die **akkumulierten Metriken** für alle replizierten Container abzurufen.

* `Form()`
* `File()`

The keys of the `dict` identify each example, and each value is another `dict`.

Each specific example `dict` in the `examples` can contain:

* `summary`: Short description for the example.
* `description`: A long description that can contain Markdown text.
* `value`: This is the actual example shown, e.g. a `dict`.

Uma imagem de contêiner é comparável ao arquivo de **programa** e seus conteúdos, ex.: `python` e algum arquivo `main.py`.