}
                    index = user.indexOf('\\');
                    if (index == -1) {
                        index = user.indexOf('/');
                    }
                    domain = index != -1 ? user.substring(0, index) : domain;
                    user = index != -1 ? user.substring(index + 1) : user;
                }
                if (user == null) {

                checkCleanDirWindows("%teamcity.agent.jvm.user.home%\\.m2\\repository") +
                    checkCleanDirWindows("%teamcity.agent.jvm.user.home%\\.m2\\.gradle-enterprise") +
                    checkCleanDirWindows("%teamcity.agent.jvm.user.home%\\.m2\\.develocity") +
                    checkCleanDirWindows(
                        "%teamcity.agent.jvm.user.home%\\.android",
                        false,

```JSON
{
    "name": "Foo",
    "description": "The pretender",
    "price": 42.0,
    "tax": 3.2
}
```

Mais vous pouvez également déclarer plusieurs paramètres provenant de body, par exemple `item` et `user` simultanément :

{* ../../docs_src/body_multiple_params/tutorial002_py310.py hl[20] *}

Dans ce cas, **FastAPI** détectera qu'il y a plus d'un paramètre dans le body (chacun correspondant à un modèle Pydantic).

        return "{" + authResult.account().username() + "}";
    }

    /**
     * Gets the Azure AD user associated with this credential.
     * @return The Azure AD user instance.
     */
    public AzureAdUser getUser() {
        return new AzureAdUser(authResult);
    }

    /**
     * Azure AD user implementation providing user information and permissions.
     */
    public static class AzureAdUser implements FessUser {

```JSON
{
    "name": "Foo",
    "description": "The pretender",
    "price": 42.0,
    "tax": 3.2
}
```

Pero también puedes declarar múltiples parámetros del cuerpo, por ejemplo `item` y `user`:

{* ../../docs_src/body_multiple_params/tutorial002_py310.py hl[20] *}

En este caso, **FastAPI** notará que hay más de un parámetro del cuerpo en la función (hay dos parámetros que son modelos de Pydantic).

 * @since 4.0.0
 */
@Experimental
@ThreadSafe
public interface ProtoSession {

    /**
     * Returns immutable user properties to use for interpolation. The user properties have been configured directly
     * by the user, e.g. via the {@code -Dkey=value} parameter on the command line.
     *
     * @return the user properties, never {@code null}
     */
    @Nonnull
    Map<String, String> getUserProperties();

    /**

	h.Uid = int(sys.Uid)
	h.Gid = int(sys.Gid)
	if doNameLookups {
		// Best effort at populating Uname and Gname.
		// The os/user functions may fail for any number of reasons
		// (not implemented on that platform, cgo not enabled, etc).
		if u, ok := userMap.Load(h.Uid); ok {
			h.Uname = u.(string)
		} else if u, err := user.LookupId(strconv.Itoa(h.Uid)); err == nil {
			h.Uname = u.Username
			userMap.Store(h.Uid, h.Uname)
		}

     */
    public static byte[] getLMv2Response(final String domain, final String user, final String password, final byte[] challenge,
            final byte[] clientChallenge) throws GeneralSecurityException {
        return getLMv2Response(domain, user, getNTHash(password), challenge, clientChallenge);
    }

    /**
     * Creates the LMv2 response for the supplied information.

```JSON
{
    "name": "Foo",
    "description": "The pretender",
    "price": 42.0,
    "tax": 3.2
}
```

Aber Sie können auch mehrere Body-Parameter deklarieren, z. B. `item` und `user`:

{* ../../docs_src/body_multiple_params/tutorial002_py310.py hl[20] *}

In diesem Fall wird **FastAPI** bemerken, dass es mehr als einen Body-Parameter in der Funktion gibt (zwei Parameter, die Pydantic-Modelle sind).

```JSON
{
    "name": "Foo",
    "description": "The pretender",
    "price": 42.0,
    "tax": 3.2
}
```

But you can also declare multiple body parameters, e.g. `item` and `user`:

{* ../../docs_src/body_multiple_params/tutorial002_py310.py hl[20] *}


In this case, **FastAPI** will notice that there is more than one body parameter in the function (there are two parameters that are Pydantic models).