Pero ahora que FastAPI 0.99.0 y superiores usa OpenAPI 3.1.0, que usa JSON Schema 2020-12, y Swagger UI 5.0.0 y superiores, todo es más consistente y los ejemplos se incluyen en JSON Schema.

### Swagger UI y `examples` específicos de OpenAPI { #swagger-ui-and-openapi-specific-examples }

Mas agora que o FastAPI 0.99.0 e superiores usam o OpenAPI 3.1.0, que usa o JSON Schema 2020-12, e o Swagger UI 5.0.0 e superiores, tudo é mais consistente e os exemplos são incluídos no JSON Schema.

### Swagger UI e `examples` específicos do OpenAPI { #swagger-ui-and-openapi-specific-examples }

## Dale una estrella a **FastAPI** en GitHub { #star-fastapi-in-github }

Puedes "darle una estrella" a FastAPI en GitHub (haciendo clic en el botón de estrella en la parte superior derecha): <a href="https://github.com/fastapi/fastapi" class="external-link" target="_blank">https://github.com/fastapi/fastapi</a>. ⭐️

## Dê uma estrela ao **FastAPI** no GitHub { #star-fastapi-in-github }

Você pode “marcar com estrela” o FastAPI no GitHub (clicando no botão de estrela no canto superior direito): <a href="https://github.com/fastapi/fastapi" class="external-link" target="_blank">https://github.com/fastapi/fastapi</a>. ⭐️

Em todos os documentos existem exemplos compatíveis com cada versão do Python (quando existem diferenças).

Por exemplo, "**Python 3.6+**" significa que é compatível com o Python 3.6 ou superior (incluindo o 3.7, 3.8, 3.9, 3.10, etc). E "**Python 3.9+**" significa que é compatível com o Python 3.9 ou mais recente (incluindo o 3.10, etc).

Por ejemplo, "**Python 3.6+**" significa que es compatible con Python 3.6 o superior (incluyendo 3.7, 3.8, 3.9, 3.10, etc). Y "**Python 3.9+**" significa que es compatible con Python 3.9 o superior (incluyendo 3.10, etc).

 * load on the garbage collector by only using a constant number of internal objects.
 *
 * <p>This class should not be assumed to be universally superior to {@code
 * java.util.LinkedHashMap}. Generally speaking, this class reduces object allocation and memory
 * consumption at the price of moderately increased constant factors of CPU. Only use this class

 *       significantly worse than a {@code PriorityQueue} with manual eviction above the maximum
 *       size. In many cases {@link Ordering#leastOf} may work for your use case with significantly
 *       improved (and asymptotically superior) performance.
 *   <li>The retrieval operations {@link #peek}, {@link #peekFirst}, {@link #peekLast}, {@link
 *       #element}, and {@link #size} are constant-time.

{* ../../docs_src/query_params_str_validations/tutorial015_an_py310.py hl[5,16:19,24] *}

/// info | Información

Esto está disponible con Pydantic versión 2 o superior. 😎

///

/// tip | Consejo

 * {@link #values} views is the same as insertion order. Any removal invalidates any ordering
 * guarantees.
 *
 * <p>This class should not be assumed to be universally superior to {@code java.util.HashMap}.
 * Generally speaking, this class reduces object allocation and memory consumption at the price of
 * moderately increased constant factors of CPU. Only use this class when there is a specific reason