* <li>{@link #ANALYZER_SETTINGS_CONTENTS_ANALYZER} - The contents analyzer settings field.</li>
 * <li>{@link #ANALYZER_SETTINGS_CONTENTS_READING_ANALYZER} - The contents reading analyzer settings field.</li>
 * </ul>
 *
 * This class cannot be instantiated.
 */
public final class FieldNames {
    /** The unique identifier field. */
    public static final String ID = "_id";
    /** The text content field. */

    }

    private void ensureRoomFor(int newElements) {
      @Nullable Object[] contents = this.contents;
      int newCapacity = expandedCapacity(contents.length, size + newElements);
      // expandedCapacity handles the overflow case
      if (contents.length < newCapacity || copyOnWrite) {
        this.contents = Arrays.copyOf(contents, newCapacity);
        copyOnWrite = false;
      }
    }

    /**

		cfg.inlineBlock = 128 * humanize.KiByte
	}

	cfg.initialized = true

	return cfg, nil
}

func configLogOnceIf(ctx context.Context, err error, id string, errKind ...any) {
	logger.LogOnceIf(ctx, "config", err, id, errKind...)

            throw new ExtractException("Failed to parse JSON content", e);
        }
    }

    /**
     * Recursively extracts content from JSON nodes.
     *
     * @param node the JSON node to extract from
     * @param parentKey the parent key path
     * @param textBuilder the string builder for text content
     * @param metadataMap the map for metadata extraction

package cmd

import (
	"context"
	"testing"
)

func prepareErasurePools() (ObjectLayer, []string, error) {
	nDisks := 32
	fsDirs, err := getRandomDisks(nDisks)
	if err != nil {
		return nil, nil, err
	}

	pools := mustGetPoolEndpoints(0, fsDirs[:16]...)
	pools = append(pools, mustGetPoolEndpoints(1, fsDirs[16:]...)...)

	objLayer, _, err := initObjectLayer(context.Background(), pools)
	if err != nil {

                if (context.get(EmbeddedDocumentExtractor.class) == null) {
                    final Parser p = context.get(Parser.class);
                    if (p == null) {
                        context.set(Parser.class, this);
                    }
                    context.set(EmbeddedDocumentExtractor.class, new ParsingEmbeddedDocumentExtractor(context));
                }

    protected ExtractData createExtractData(final String content) {
        final DOMParser parser = getDomParser();
        try (final Reader reader = new StringReader(content)) {
            parser.parse(new InputSource(reader));
        } catch (final Exception e) {
            logger.warn("Failed to parse the content.", e);
            return new ExtractData(extractString(content));
        }

Isso te dá bastante flexibilidade. Você pode retornar qualquer tipo de dado, sobrescrever qualquer declaração e validação nos dados, etc.

## Utilizando o `jsonable_encoder` em uma `Response` { #using-the-jsonable-encoder-in-a-response }

Como o **FastAPI** não realiza nenhuma mudança na `Response` que você retorna, você precisa garantir que o conteúdo dela está pronto para uso.

            throws PluginResolutionException, PluginVersionResolutionException, PluginManagerException;

    /**
     * Updates the context class loader such that the container will search the project realm when the model builder
     * injects the lifecycle bindings from the packaging in the next step. The context class loader is to be reset by
     * the project builder when the project is fully assembled.
     *

<input name="files" type="file" multiple>
<input type="submit">
</form>
</body>
    """