import static org.junit.jupiter.api.Assertions.assertNotNull;
import static org.junit.jupiter.api.Assertions.assertTrue;

import java.lang.reflect.Method;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.TimeUnit;

import org.junit.jupiter.api.BeforeEach;
import org.junit.jupiter.api.Test;

/**

### `Body` con `examples`

Aquí pasamos `examples` que contiene un ejemplo de los datos esperados en `Body()`:

{* ../../docs_src/schema_extra_example/tutorial003_an_py310.py hl[22:29] *}

### Ejemplo en la interfaz de documentación

Con cualquiera de los métodos anteriores se vería así en los `/docs`:

<img src="/img/tutorial/body-fields/image01.png">

### `Body` con múltiples `examples`

            public String getIndexFieldContentLength() {
                return "content_length";
            }

            @Override
            public String getIndexFieldHost() {
                return "host";
            }

            @Override
            public String getIndexFieldSite() {
                return "site";
            }

            @Override

                }
                processAccessControlEntries(responseData, file);
                final Map<String, List<String>> headerFieldMap = file.getHeaderFields();
                if (headerFieldMap != null) {
                    for (final Map.Entry<String, List<String>> entry : headerFieldMap.entrySet()) {
                        responseData.addMetaData(entry.getKey(), entry.getValue());
                    }

     * </p>
     *
     * @param handler the handler to process resources
     */
    void forEach(ResourceHandler handler);

    /**
     * Performs post-processing of resources.
     */
    void close();

# JSON Compatible Encoder { #json-compatible-encoder }

There are some cases where you might need to convert a data type (like a Pydantic model) to something compatible with JSON (like a `dict`, `list`, etc).

For example, if you need to store it in a database.

For that, **FastAPI** provides a `jsonable_encoder()` function.

## Using the `jsonable_encoder` { #using-the-jsonable-encoder }

# Codificador Compatível com JSON

Existem alguns casos em que você pode precisar converter um tipo de dados (como um modelo Pydantic) para algo compatível com JSON (como um `dict`, `list`, etc).

Por exemplo, se você precisar armazená-lo em um banco de dados.

Para isso, **FastAPI** fornece uma função `jsonable_encoder()`.

## Usando a função `jsonable_encoder`

After configuring the plugin, use the generated Role ARN with `AssumeRoleWithCustomToken` to get temporary credentials to access object storage.

## API Request

To make an STS API request with this method, send a POST request to the MinIO endpoint with following query parameters:

| Parameter       | Type    | Required |                                                                      |

    /**
     * The permissions required to view this label type.
     */
    @CustomSize(maxKey = "form.admin.max.input.size")
    public String permissions;

    /**
     * The virtual host for the label type.
     */
    @Size(max = 1000)
    public String virtualHost;

    /**
     * The sort order for displaying this label type.
     */
    @Min(value = 0)
    @Max(value = 2147483647)

import com.google.common.collect.testing.features.CollectionSize;
import org.junit.Ignore;

/**
 * A generic JUnit test which tests {@code retainAll} operations on a list. Can't be invoked
 * directly; please see {@link com.google.common.collect.testing.ListTestSuiteBuilder}.
 *
 * @author Chris Povirk
 */
@GwtCompatible