return nil, config.ErrInvalidNumberOfErasureEndpoints(nil).Msg(msg)
	}

	var setSize uint64
	// Custom set drive count allows to override automatic distribution.
	// only meant if you want to further optimize drive distribution.
	if setDriveCount > 0 {
		msg := fmt.Sprintf("Invalid set drive count. Acceptable values for %d number drives are %d", commonSize, setCounts)

Usá-lo em seu editor é o que realmente te mostra os benefícios do FastAPI, ver quão pouco código você tem que escrever, todas as conferências de tipo, preenchimento automático, etc.

---

## Instale o FastAPI { #install-fastapi }

O primeiro passo é instalar o FastAPI.

     * The given dependency should be one of the paths returned by {@link #getDependencies()}.
     * The module name is extracted from the {@code module-info.class} file if present, otherwise from
     * the {@code "Automatic-Module-Name"} attribute of the {@code META-INF/MANIFEST.MF} file if present.
     *
     * <p>A typical usage is to invoke this method for all dependencies having a

import jakarta.annotation.Resource;

/**
 * API action for admin document management.
 * Provides RESTful API endpoints for bulk document operations in the Fess search engine.
 * Supports indexing multiple documents with automatic field validation and default value assignment.
 */
public class ApiAdminDocumentsAction extends FessApiAdminAction {

    // ===================================================================================
    // Constant

* Show a **clear error** for the client when the data is not valid
* **Document** the parameter in the OpenAPI schema *path operation* (so it will show up in the **automatic docs UI**)

## Alternative (old): `Query` as the default value { #alternative-old-query-as-the-default-value }

E você pode fazer isso até mesmo quando os dados da requisição não seguem o formato JSON.

Por exemplo, nesta aplicação nós não usamos a funcionalidade integrada ao FastAPI de extrair o JSON Schema dos modelos Pydantic nem a validação automática do JSON. Na verdade, estamos declarando o tipo do conteúdo da requisição como YAML, em vez de JSON:

//// tab | Pydantic v2

{* ../../docs_src/path_operation_advanced_configuration/tutorial007_py39.py hl[15:20, 22] *}

* 100% test coverage: cobertura de tests del 100%
* back and forth: de un lado a otro
* I/O (as in "input and output"): I/O (do not translate to "E/S")
* Machine Learning: Machine Learning (do not translate to "Aprendizaje Automático")
* Deep Learning: Deep Learning (do not translate to "Aprendizaje Profundo")
* callback hell: callback hell (do not translate to "infierno de callbacks")
* tip: Consejo (do not translate to "tip")

 * handling without tight coupling to specific parameter schemas.</p>
 */
public class DataStoreParams {

    /**
     * Internal map storing parameter key-value pairs.
     * Uses ParamMap for automatic case format conversion between camelCase and snake_case.
     */
    protected final Map<String, Object> params;

    /**
     * Creates a new empty DataStoreParams instance.

        assertNotNull(paths);
        assertEquals(10, paths.size());
        assertEquals("test-extension-1.jar", paths.get(0).getFileName().toString());

        // JUnit has an "Automatic-Module-Name", so it appears on the module path.
        Map<PathType, List<Path>> dispatched = session.resolveDependencies(
                coords, PathScope.TEST_COMPILE, Arrays.asList(JavaPathType.CLASSES, JavaPathType.MODULES));

* `bar` vom Typ `str`
* `baz` vom Typ `list`

* das Tutorial – Benutzerhandbuch
* das Handbuch für fortgeschrittene Benutzer
* die SQLModel-Dokumentation
* die API-Dokumentation
* die automatische Dokumentation

* Data Science
* Deep Learning
* Machine Learning
* Dependency Injection
* HTTP Basic-Authentifizierung
* HTTP Digest
* ISO-Format
* der JSON-Schema-Standard
* das JSON-Schema