Notice that the path parameter is declared to be an integer.

///

## Standards-based benefits, alternative documentation { #standards-based-benefits-alternative-documentation }

And because the generated schema is from the <a href="https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.1.0.md" class="external-link" target="_blank">OpenAPI</a> standard, there are many compatible tools.

 * Extends the standard plugin DeleteForm to provide JSON request body functionality
 * for REST API operations.
 */
public class DeleteBody extends DeleteForm {

    /**
     * Creates a new instance of DeleteBody.
     * This constructor initializes the request body for plugin deletion API operations,
     * extending the standard plugin DeleteForm with JSON request body functionality.
     */

                    return new StandardImplForwardingCollection<>(
                        new LinkedList<>(asList(elements)));
                  }
                })
            .named("ForwardingCollection[LinkedList] with standard implementations")
            .withFeatures(
                CollectionSize.ANY,
                CollectionFeature.ALLOWS_NULL_VALUES,
                CollectionFeature.GENERAL_PURPOSE)
            .createTestSuite());

///

## Automatische Konvertierung

`Header` hat weitere Funktionalität, zusätzlich zu der, die `Path`, `Query` und `Cookie` bereitstellen.

Die meisten Standard-Header benutzen als Trennzeichen einen Bindestrich, auch bekannt als das „Minus-Symbol“ (`-`).

Aber eine Variable wie `user-agent` ist in Python nicht gültig.

<div class="termy">

```console
$ pip install "uvicorn[standard]"

---> 100%
```

</div>

/// tip | Astuce

En ajoutant `standard`, Uvicorn va installer et utiliser quelques dépendances supplémentaires recommandées.

Tout est basé sur la déclaration de type standard de **Python 3.8** (grâce à Pydantic). Pas de nouvelles syntaxes à apprendre. Juste du Python standard et moderne.

Si vous souhaitez un rappel de 2 minutes sur l'utilisation des types en Python (même si vous ne comptez pas utiliser FastAPI), jetez un oeil au tutoriel suivant: [Python Types](python-types.md){.internal-link target=_blank}.

Vous écrivez du python standard avec des annotations de types:

```Python

          "tokenizer": "standard",
          "filter": [
            "truncate20_filter",
            "lowercase",
            "arabic_stop",
            "arabic_normalization",
            "arabic_keywords",
            "arabic_override",
            "arabic_stemmer"
          ]
        },
        "armenian_analyzer": {
          "tokenizer":  "standard",
          "filter": [

          "tokenizer": "standard",
          "filter": [
            "truncate20_filter",
            "lowercase",
            "arabic_stop",
            "arabic_normalization",
            "arabic_keywords",
            "arabic_override",
            "arabic_stemmer"
          ]
        },
        "armenian_analyzer": {
          "tokenizer":  "standard",
          "filter": [

## Gunicorn und Uvicorn installieren

<div class="termy">

```console
$ pip install "uvicorn[standard]" gunicorn

---> 100%
```

</div>

Dadurch wird sowohl Uvicorn mit zusätzlichen `standard`-Packages (um eine hohe Leistung zu erzielen) als auch Gunicorn installiert.

The result of calling it is something that can be encoded with the Python standard <a href="https://docs.python.org/3/library/json.html#json.dumps" class="external-link" target="_blank">`json.dumps()`</a>.

It doesn't return a large `str` containing the data in JSON format (as a string). It returns a Python standard data structure (e.g. a `dict`) with values and sub-values that are all compatible with JSON.

/// note