p:!0,keyboard:!0,focus:!0,show:!0},ae={backdrop:"(boolean|string)",keyboard:"boolean",focus:"boolean",show:"boolean"},le={HIDE:"hide"+oe,HIDE_PREVENTED:"hidePrevented"+oe,HIDDEN:"hidden"+oe,SHOW:"show"+oe,SHOWN:"shown"+oe,FOCUSIN:"focusin"+oe,RESIZE:"resize"+oe,CLICK_DISMISS:"click.dismiss"+oe,KEYDOWN_DISMISS:"keydown.dismiss"+oe,MOUSEUP_DISMISS:"mouseup.dismiss"+oe,MOUSEDOWN_DISMISS:"mousedown.dismiss"+oe,CLICK_DATA_API:"click"+oe+".data-api"},ce="modal-dialog-scrollable",he="modal-scrollbar-me...

The way it works is that you write the definition of the schema using YAML format inside the docstring of each function handling a route.

And it generates OpenAPI schemas.

That's how it works in Flask, Starlette, Responder, etc.

But then, we have again the problem of having a micro-syntax, inside of a Python string (a big YAML).

## Installer le programme serveur

Vous pouvez installer un serveur compatible ASGI avec :

//// tab | Uvicorn

* <a href="https://www.uvicorn.org/" class="external-link" target="_blank">Uvicorn</a>, un serveur ASGI rapide comme l'éclair, basé sur uvloop et httptools.

<div class="termy">

```console
$ pip install "uvicorn[standard]"

---> 100%
```

</div>

/// tip | "Astuce"

And as the write operation doesn't use `async` and `await`, we define the function with normal `def`:

{* ../../docs_src/background_tasks/tutorial001.py hl[6:9] *}

## Add the background task

Inside of your *path operation function*, pass your task function to the *background tasks* object with the method `.add_task()`:

{* ../../docs_src/background_tasks/tutorial001.py hl[14] *}

`.add_task()` receives as arguments:

        }
      }
      return;
    }

    /*
     * This is an unsynchronized read! After the read, the function returns immediately or acquires
     * the lock to check again. Since an IDLE state was observed inside the preceding synchronized
     * block, and reference field assignment is atomic, this may save reacquiring the lock when
     * another thread or the worker task has cleared the count and set the state.
     *

        }
      }
      return;
    }

    /*
     * This is an unsynchronized read! After the read, the function returns immediately or acquires
     * the lock to check again. Since an IDLE state was observed inside the preceding synchronized
     * block, and reference field assignment is atomic, this may save reacquiring the lock when
     * another thread or the worker task has cleared the count and set the state.
     *

				CalculatedSHA256: "88d4266fd4e6338d13b845fcf289579d209c897823b9217da3e161936f031589",
			},
		},

		// Input with size more than the size of actual data inside the reader.
		8: {
			bucketName: bucket, objName: object, inputData: []byte("abcd"),
			inputMeta: map[string]string{"etag": "e2fc714c4727ee9395f324cd2e7f331e"}, inputDataSize: int64(len("abcd") + 1),

Le tout de manière à offrir la meilleure expérience de développement à tous les développeurs.

## Exigences

Après avoir testé plusieurs alternatives, j'ai décidé que j'allais utiliser <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">**Pydantic**</a> pour ses avantages.

                    // is undefined in shutdown hooks.
                    // This is because the logging code installs a shutdown hook of its
                    // own. See Cleaner class inside {@link LogManager}.
                    service.shutdown();
                    service.awaitTermination(terminationTimeout, timeUnit);
                  } catch (InterruptedException ignored) {

/// note | "Technical Details"

This only happens when you install using this included `requirements.txt` instead of running `pip install fastapi` directly.

That is because inside the `requirements.txt` file, the local version of FastAPI is marked to be installed in "editable" mode, with the `-e` option.

///

### Format the code