verifyNoInteractions(mocked);
    }

    // Reflection-based check: ensure serialVersionUID remains the declared constant
    @Test
    @DisplayName("serialVersionUID matches declared constant")
    void serialVersionUID_hasExpectedValue() throws Exception {
        // Arrange
        Field f = SMBSignatureValidationException.class.getDeclaredField("serialVersionUID");

            if (isMultiModule) {
                // Multi-module project: artifactId may match any declared module name
                message = String.format(
                        "Cannot attach artifact to project: groupId and version must match the project, "
                                + "and artifactId must match either the project or a declared module name.%n"
                                + "  Project coordinates:  %s:%s:%s%n"

We can do better...

## What makes a dependency { #what-makes-a-dependency }

Up to now you have seen dependencies declared as functions.

But that's not the only way to declare dependencies (although it would probably be the more common).

The key factor is that a dependency should be a "callable".

{* ../../docs_src/server_sent_events/tutorial001_py310.py ln[1:25] hl[4,22] *}

Chaque élément produit avec `yield` est encodé en JSON et envoyé dans le champ `data:` d’un événement SSE.

Si vous déclarez le type de retour comme `AsyncIterable[Item]`, FastAPI l’utilisera pour **valider**, **documenter** et **sérialiser** les données avec Pydantic.

{* ../../docs_src/server_sent_events/tutorial001_py310.py ln[1:25] hl[10:12,23] *}

path-operations }

Mais para a frente, quando você ler sobre como estruturar aplicações maiores ([Aplicações Maiores - Múltiplos Arquivos](../../tutorial/bigger-applications.md)), possivelmente com múltiplos arquivos, você irá aprender a declarar um único parâmetro `dependencies` para um conjunto de *operações de rota*....

   *
   * @return this method does not return; it always throws
   * @throws IOException when the given throwable is an IOException
   * @throws X1 when the given throwable is of the declared type X1
   * @throws X2 when the given throwable is of the declared type X2
   */
  public <X1 extends Exception, X2 extends Exception> RuntimeException rethrow(
      Throwable e, Class<X1> declaredType1, Class<X2> declaredType2) throws IOException, X1, X2 {

{"item_id":"foo"}
```

## Path parameters with types { #path-parameters-with-types }

You can declare the type of a path parameter in the function, using standard Python type annotations:

{* ../../docs_src/path_params/tutorial002_py310.py hl[7] *}

In this case, `item_id` is declared to be an `int`.

/// check

This will give you editor support inside of your function, with error checks, completion, etc.

///

///

### Funciones de *path operation* { #path-operation-functions }

Cuando declaras una *path operation function* con `def` normal en lugar de `async def`, se ejecuta en un threadpool externo que luego es esperado, en lugar de ser llamado directamente (ya que bloquearía el servidor).

![ReDoc](https://fastapi.tiangolo.com/img/index/index-02-redoc-simple.png)

## Mettre à niveau l'exemple { #example-upgrade }

Modifiez maintenant le fichier `main.py` pour recevoir un corps depuis une requête `PUT`.

Déclarez le corps en utilisant les types Python standard, grâce à Pydantic.

```Python hl_lines="2  7-10 23-25"
from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()

        left.removeAll(seenApiChanges);
        if (!left.isEmpty()) {
            String formattedLeft = CollectionUtils.join("\n", left);
            throw new RuntimeException("The following regressions are declared as accepted, but didn't match any rule:\n\n" + formattedLeft);
        }
    }