def __iter__(self):
        raise NotImplementedError()

    @property
    def __dict__(self):
        raise NotImplementedError()


class RoleEnum(Enum):
    admin = "admin"
    normal = "normal"


class ModelWithConfig(BaseModel):
    role: RoleEnum | None = None

    model_config = {"use_enum_values": True}


class ModelWithAlias(BaseModel):
    foo: str = Field(alias="Foo")

protection bits added automatically to provide the regular safety for these objects up to 50% of the number of drives.
This will allow normal write operations to take place on systems that exceed the write tolerance.

      log.put("normal task running")
      return@schedule -1L
    }

    queue.idleLatch().await(500, TimeUnit.MILLISECONDS)

    assertThat(log.take()).isEqualTo("failing task running")
    assertThat(log.take()).isEqualTo("uncaught exception: java.lang.RuntimeException: boom!")
    assertThat(log.take()).isEqualTo("normal task running")
    assertThat(log).isEmpty()
  }

            // Use test runner and classpath from "normal" yaml source set
            testTask.setTestClassesDirs(
                yamlTestSourceSet.getOutput().getClassesDirs().plus(yamlCompatTestSourceSet.getOutput().getClassesDirs())
            );
            testTask.setClasspath(
                yamlCompatTestSourceSet.getRuntimeClasspath()
                    // remove the "normal" api and tests

# Repository Management

Here's a short description of how the FastAPI repository is managed and maintained.

## Owner

I, [@tiangolo](https://github.com/tiangolo), am the creator and owner of the FastAPI repository. 🤓

I normally give the final review to each PR before merging them. I make the final decisions on the project, I'm the [<abbr title="Benevolent Dictator For Life">BDFL</abbr>](https://en.wikipedia.org/wiki/Benevolent_dictator_for_life). 😅

## Team

{* ../../docs_src/custom_response/tutorial006c_py310.py hl[2,7,9] *}

### `StreamingResponse` { #streamingresponse }

Prend un générateur async ou un générateur/itérateur normal (une fonction avec `yield`) et diffuse le corps de la réponse.

{* ../../docs_src/custom_response/tutorial007_py310.py hl[3,16] *}

/// note | Détails techniques

# 扩展 OpenAPI { #extending-openapi }

在某些情况下，你可能需要修改生成的 OpenAPI 架构（schema）。

本节将介绍如何实现。

## 常规流程 { #the-normal-process }

常规（默认）流程如下。

`FastAPI` 应用（实例）有一个 `.openapi()` 方法，预期返回 OpenAPI 架构。

在创建应用对象时，会注册一个用于 `/openapi.json`（或你在 `openapi_url` 中设置的路径）的路径操作。

它只会返回一个 JSON 响应，内容是应用 `.openapi()` 方法的结果。

默认情况下，`.openapi()` 方法会检查属性 `.openapi_schema` 是否已有内容，若有则直接返回。

如果没有，则使用 `fastapi.openapi.utils.get_openapi` 工具函数生成。

 * after the garbage collector reclaims the referent. This is a simpler alternative to using a
 * {@link ReferenceQueue}.
 *
 * <p>Unlike a normal phantom reference, this reference will be cleared automatically.
 *
 * @author Bob Lee
 * @since 2.0
 */
@J2ktIncompatible
@GwtIncompatible

   * the corresponding argument value from {@code args}; or, if the placeholder and argument counts
   * do not match, returns a best-effort form of that string. Will not throw an exception under
   * normal conditions.
   *
   * <p><b>Note:</b> For most string-formatting needs, use {@link String#format String.format},
   * {@link java.io.PrintWriter#format PrintWriter.format}, and related methods. These support the

# FastAPI in Containers - Docker { #fastapi-in-containers-docker }

When deploying FastAPI applications a common approach is to build a **Linux container image**. It's normally done using [**Docker**](https://www.docker.com/). You can then deploy that container image in one of a few possible ways.

Using Linux containers has several advantages including **security**, **replicability**, **simplicity**, and others.

/// tip