def test_merged_mixed_state_lifespans() -> None:
    @asynccontextmanager
    async def lifespan(app: FastAPI) -> AsyncGenerator[None, None]:
        yield

    @asynccontextmanager
    async def router_lifespan(app: FastAPI) -> AsyncGenerator[dict[str, bool], None]:
        yield {"router": True}

    @asynccontextmanager
    async def sub_router_lifespan(app: FastAPI) -> AsyncGenerator[None, None]:

import asyncio
from contextlib import asynccontextmanager
from unittest.mock import Mock, patch

from docs_src.dependencies.tutorial007_py39 import get_db


def test_get_db():  # Just for coverage
    async def test_async_gen():
        cm = asynccontextmanager(get_db)
        async with cm() as db_session:
            return db_session

    dbsession_moock = Mock()

    with patch(

from contextlib import asynccontextmanager

from fastapi import FastAPI


def fake_answer_to_everything_ml_model(x: float):
    return x * 42


ml_models = {}


@asynccontextmanager
async def lifespan(app: FastAPI):
    # Load the ML model
    ml_models["answer_to_everything"] = fake_answer_to_everything_ml_model
    yield
    # Clean up the ML models and release the resources
    ml_models.clear()

from collections.abc import AsyncGenerator
from contextlib import AbstractContextManager
from contextlib import asynccontextmanager as asynccontextmanager
from typing import TypeVar

import anyio.to_thread
from anyio import CapacityLimiter
from starlette.concurrency import iterate_in_threadpool as iterate_in_threadpool  # noqa
from starlette.concurrency import run_in_threadpool as run_in_threadpool  # noqa
from starlette.concurrency import (  # noqa

from contextlib import asynccontextmanager

from fastapi import FastAPI
from fastapi.testclient import TestClient

items = {}


@asynccontextmanager
async def lifespan(app: FastAPI):
    items["foo"] = {"name": "Fighters"}
    items["bar"] = {"name": "Tenders"}
    yield
    # clean up items
    items.clear()


app = FastAPI(lifespan=lifespan)


@app.get("/items/{item_id}")
async def read_items(item_id: str):

Y la parte después del `yield` será ejecutada **después** de que la aplicación haya terminado.

### Async Context Manager { #async-context-manager }

Si revisas, la función está decorada con un `@asynccontextmanager`.

Eso convierte a la función en algo llamado un "**async context manager**".

{* ../../docs_src/events/tutorial003_py39.py hl[1,13] *}

And the part after the `yield` will be executed **after** the application has finished.

### Async Context Manager { #async-context-manager }

If you check, the function is decorated with an `@asynccontextmanager`.

That converts the function into something called an "**async context manager**".

{* ../../docs_src/events/tutorial003_py39.py hl[1,13] *}

E a parte posterior ao `yield` será executada **depois** de a aplicação ter terminado.

### Gerenciador de contexto assíncrono { #async-context-manager }

Se você verificar, a função está decorada com um `@asynccontextmanager`.

Isso converte a função em algo chamado "**gerenciador de contexto assíncrono**".

{* ../../docs_src/events/tutorial003_py39.py hl[1,13] *}

Und der Teil nach `yield` wird ausgeführt, **nachdem** die Anwendung beendet ist.

### Asynchroner Kontextmanager { #async-context-manager }

Wie Sie sehen, ist die Funktion mit einem `@asynccontextmanager` versehen.

Dadurch wird die Funktion in einen sogenannten „**asynchronen Kontextmanager**“ umgewandelt.

{* ../../docs_src/events/tutorial003_py39.py hl[1,13] *}

{* ../../docs_src/events/tutorial003.py hl[14:19] *}

함수의 첫 번째 부분, 즉 `yield` 이전의 코드는 애플리케이션이 시작되기 **전에** 실행됩니다.

그리고 `yield` 이후의 부분은 애플리케이션이 완료된 후 **나중에** 실행됩니다.

### 비동기 컨텍스트 매니저

함수를 확인해보면, `@asynccontextmanager`로 장식되어 있습니다.

이것은 함수를 "**비동기 컨텍스트 매니저**"라고 불리는 것으로 변환시킵니다.

{* ../../docs_src/events/tutorial003.py hl[1,13] *}

파이썬에서 **컨텍스트 매니저**는 `with` 문에서 사용할 수 있는 것입니다. 예를 들어, `open()`은 컨텍스트 매니저로 사용할 수 있습니다: