9. This *path operation function* is not returning dataclasses (although it could), but a list of dictionaries with internal data.

    FastAPI will use the `response_model` parameter (that includes dataclasses) to convert the response.

			 "cluster.initial_cluster_manager_nodes":"search_engine",
			 "node.roles":"cluster_manager,data,ingest,ml",
			 -->
			 "indices.breaker.total.limit":"100%",
			 "action.auto_create_index":"-*"}
		</property>
		<!-- Dictionaries -->
		<postConstruct name="addConfigFile">
			<arg>"fess"</arg>
			<arg>"mapping.txt"</arg>
		</postConstruct>
		<postConstruct name="addConfigFile">
			<arg>"fess"</arg>
			<arg>"synonym.txt"</arg>

You can use **type annotations** the same way you would for input data in function **parameters**, you can use Pydantic models, lists, dictionaries, scalar values like integers, booleans, etc.

//// tab | Python 3.10+

```Python hl_lines="16  21"
{!> ../../docs_src/response_model/tutorial001_01_py310.py!}
```

////

//// tab | Python 3.9+

9. Esta *função de operação de rota* não está retornando dataclasses (embora pudesse), mas uma lista de dicionários com dados internos.

    O FastAPI usará o parâmetro `response_model` (que inclui dataclasses) para converter a resposta.

9. Diese *Pfadoperation-Funktion* gibt keine Datenklassen zurück (obwohl dies möglich wäre), sondern eine Liste von Dictionarys mit internen Daten.

    FastAPI verwendet den Parameter `response_model` (der Datenklassen enthält), um die Response zu konvertieren.

```

Esto significa:

* La variable `items_t` es un `tuple` con 3 ítems, un `int`, otro `int`, y un `str`.
* La variable `items_s` es un `set` y cada uno de sus ítems es de tipo `bytes`.

#### Diccionarios (Dicts)

Para definir un `dict` le pasas 2 sub-tipos separados por comas.

El primer sub-tipo es para los keys del `dict`.

El segundo sub-tipo es para los valores del `dict`:

```Python hl_lines="1  4"

///

### Überprüfen des aktuellen `root_path`

Sie können den aktuellen `root_path` abrufen, der von Ihrer Anwendung für jede Anfrage verwendet wird. Er ist Teil des `scope`-Dictionarys (das ist Teil der ASGI-Spezifikation).

Hier fügen wir ihn, nur zu Demonstrationszwecken, in die Nachricht ein.

```Python hl_lines="8"
{!../../docs_src/behind_a_proxy/tutorial001.py!}
```

    *   `steps_per_epoch` and `steps` arguments are supported with numpy arrays.
    *   New error message when unexpected keys are used in
        sample_weight/class_weight dictionaries
    *   Losses are scaled in Keras compile/fit and not in the optimizers
        anymore. If you are using custom training loop, we have new utilities to
        help scale losses `tf.nn.compute_average_loss`,