if openapi_examples:
                parameter["examples"] = jsonable_encoder(openapi_examples)
            elif example != Undefined:
                parameter["example"] = jsonable_encoder(example)
            if getattr(field_info, "deprecated", None):
                parameter["deprecated"] = True
            parameters.append(parameter)
    return parameters


def get_openapi_operation_request_body(
    *,

```

////

Neste caso, o `__call__` é o que o **FastAPI** utilizará para verificar parâmetros adicionais e sub dependências, e isso é o que será chamado para passar o valor ao parâmetro na sua *função de operação de rota* posteriormente.

## Parametrizar a instância

E agora, nós podemos utilizar o `__init__` para declarar os parâmetros da instância que podemos utilizar para "parametrizar" a dependência:

//// tab | Python 3.9+

/// tip

Some editors check for unused function parameters, and show them as errors.

Using these `dependencies` in the *path operation decorator* you can make sure they are executed while avoiding editor/tooling errors.

It might also help avoid confusion for new developers that see an unused parameter in your code and could think it's unnecessary.

///

/// info

		code:       "InvalidRequestParameter",
		message:    "The value of a parameter in SelectRequest element is invalid. Check the service API documentation and try again.",
		statusCode: 400,
		cause:      err,
	}
}

func errInvalidScanRangeParameter(err error) *s3Error {
	return &s3Error{
		code:       "InvalidRequestParameter",

   *
   * <p>For example, when resolving {@code List<T>} in the context of {@code ArrayList<?>}, {@code
   * <T>} cannot be invariantly resolved to {@code <?>} because otherwise the parameter type of
   * {@code List::set} will be {@code <?>} and it'll falsely say any object can be passed into
   * {@code ArrayList<?>::set}.
   *

 */

package com.google.common.collect.testing;

import static java.lang.annotation.ElementType.FIELD;
import static java.lang.annotation.ElementType.METHOD;
import static java.lang.annotation.ElementType.PARAMETER;
import static java.lang.annotation.ElementType.TYPE;
import static java.lang.annotation.RetentionPolicy.RUNTIME;

import com.google.common.annotations.GwtCompatible;
import java.lang.annotation.Retention;

We also declare a special parameter of type `SecurityScopes`, imported from `fastapi.security`.

This `SecurityScopes` class is similar to `Request` (`Request` was used to get the request object directly).

{* ../../docs_src/security/tutorial005_an_py310.py hl[9,106] *}

## Use the `scopes`

The parameter `security_scopes` will be of type `SecurityScopes`.

  fun emptyCache(parameters: Pair<FileSystem, Boolean>) {
    setUp(parameters.first, parameters.second)
    cache.close()
    assertJournalEquals()
  }

  @ParameterizedTest
  @ArgumentsSource(FileSystemParamProvider::class)
  fun recoverFromInitializationFailure(parameters: Pair<FileSystem, Boolean>) {
    setUp(parameters.first, parameters.second)

Wenn Sie jedoch eine Menge Datenklassen herumliegen haben, ist dies ein guter Trick, um sie für eine Web-API mithilfe von FastAPI zu verwenden. 🤓

///

## Datenklassen als `response_model`

Sie können `dataclasses` auch im Parameter `response_model` verwenden:

```Python hl_lines="1  7-13  19"
{!../../docs_src/dataclasses/tutorial002.py!}
```

Die Datenklasse wird automatisch in eine Pydantic-Datenklasse konvertiert.

///

Dem `status_code`-Parameter wird eine Zahl mit dem HTTP-Statuscode übergeben.

/// info

Alternativ kann `status_code` auch ein `IntEnum` erhalten, so wie Pythons <a href="https://docs.python.org/3/library/http.html#http.HTTPStatus" class="external-link" target="_blank">`http.HTTPStatus`</a>.

///

Das wird:

* Diesen Statuscode mit der Response zurücksenden.