}
                    },
                    "tags": ["items"],
                    "summary": "Read Elements",
                    "operationId": "read_elements_elements__get",
                    "deprecated": True,
                }
            },
        },

from fastapi import FastAPI
from fastapi.responses import ORJSONResponse
from fastapi.testclient import TestClient
from sqlalchemy.sql.elements import quoted_name

app = FastAPI(default_response_class=ORJSONResponse)


@app.get("/orjson_non_str_keys")
def get_orjson_non_str_keys():
    key = quoted_name(value="msg", quote=False)
    return {key: "Hello World", 1: 1}


client = TestClient(app)


def test_orjson_non_str_keys():

    ```

=== "Python 3.8+"

    ```Python hl_lines="14"
    {!> ../../../docs_src/body_nested_models/tutorial001.py!}
    ```

Das bewirkt, dass `tags` eine Liste ist, wenngleich es nichts über den Typ der Elemente der Liste aussagt.

## Listen mit Typ-Parametern als Felder

Aber Python erlaubt es, Listen mit inneren Typen, auch „Typ-Parameter“ genannt, zu deklarieren.

### `List` von `typing` importieren

  content: '';
  position: absolute;
  top: 15px;
  left: 15px;
  display: inline-block;
  width: 15px;
  height: 15px;
  border-radius: 50%;
  /* A little hack to display the window buttons in one pseudo element. */
  background: #d9515d;
  -webkit-box-shadow: 25px 0 0 #f4c025, 50px 0 0 #3ec930;
          box-shadow: 25px 0 0 #f4c025, 50px 0 0 #3ec930;

### Validierung

* Validierung für die meisten (oder alle?) Python-**Datentypen**, hierzu gehören:
    * JSON Objekte (`dict`).
    * JSON Listen (`list`), die den Typ ihrer Elemente definieren.
    * Strings (`str`) mit definierter minimaler und maximaler Länge.
    * Zahlen (`int`, `float`) mit Mindest- und Maximal-Werten, usw.

* Validierung für mehr exotische Typen, wie:
    * URL.

<img src="/img/python-types/image05.png">

Without types, that's almost impossible to achieve.

Notice that the variable `item` is one of the elements in the list `items`.

And still, the editor knows it is a `str`, and provides support for that.

#### Tuple and Set

You would do the same to declare `tuple`s and `set`s:

=== "Python 3.9+"

        return new Promise(resolve => setTimeout(resolve, time));
    }

    /**
     * Converts line data objects into line elements.
     *
     * @param {Object[]} lineData - Dynamically loaded lines.
     * @param {Object} line - Line data object.
     * @returns {Element[]} - Array of line elements.
     */
    lineDataToElements(lineData) {
        return lineData.map(line => {

    position: absolute;
    top: 15px;
    left: 15px;
    display: inline-block;
    width: 15px;
    height: 15px;
    border-radius: 50%;
    /* A little hack to display the window buttons in one pseudo element. */
    background: #d9515d;
    -webkit-box-shadow: 25px 0 0 #f4c025, 50px 0 0 #3ec930;
            box-shadow: 25px 0 0 #f4c025, 50px 0 0 #3ec930;
}

[data-termynal]:after {
    content: 'bash';

    ```

=== "Python 3.8+"

    ```Python hl_lines="14"
    {!> ../../../docs_src/body_nested_models/tutorial001.py!}
    ```

This will make `tags` be a list, although it doesn't declare the type of the elements of the list.

## List fields with type parameter

But Python has a specific way to declare lists with internal types, or "type parameters":

### Import typing's `List`

Mais, **tout fonctionne** par défaut.

### Validation

* Validation pour la plupart (ou tous?) les **types de données** Python incluant:
    * objets JSON (`dict`).
    * listes JSON (`list`) définissant des types d'éléments.
    * Champs String (`str`), définition de longueur minimum ou maximale.
    * Nombres (`int`, `float`) avec valeur minimale and maximale, etc.

* Validation pour des types plus exotiques, tel que:
    * URL.