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  1. docs/en/docs/advanced/dataclasses.md

        As always, in FastAPI you can combine `def` and `async def` as needed.
    
        If you need a refresher about when to use which, check out the section _"In a hurry?"_ in the docs about [`async` and `await`](../async.md#in-a-hurry){.internal-link target=_blank}.
    
    9. This *path operation function* is not returning dataclasses (although it could), but a list of dictionaries with internal data.
    
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  2. docs/en/docs/tutorial/testing.md

    {!../../../docs_src/app_testing/tutorial001.py!}
    ```
    
    !!! tip
        Notice that the testing functions are normal `def`, not `async def`.
    
        And the calls to the client are also normal calls, not using `await`.
    
        This allows you to use `pytest` directly without complications.
    
    !!! note "Technical Details"
        You could also use `from starlette.testclient import TestClient`.
    
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  3. docs/em/docs/advanced/nosql-databases.md

    ```
    
    ### ✍ *➡ 🛠️ 🔢*
    
    👆 📟 🤙 🗄 &amp; 👥 🚫 ⚙️ <a href="https://docs.couchbase.com/python-sdk/2.5/async-programming.html#asyncio-python-3-5" class="external-link" target="_blank">🥼 🐍 <code>await</code> 🐕‍🦺</a>, 👥 🔜 📣 👆 🔢 ⏮️ 😐 `def` ↩️ `async def`.
    
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  4. docs/ja/docs/tutorial/background-tasks.md

    ## タスク関数の作成
    
    バックグラウンドタスクとして実行される関数を作成します。
    
    これは、パラメーターを受け取ることができる単なる標準的な関数です。
    
    これは `async def` または通常の `def` 関数であり、**FastAPI** はこれを正しく処理します。
    
    ここで、タスク関数はファイル書き込みを実行します (メール送信のシミュレーション)。
    
    また、書き込み操作では `async` と `await` を使用しないため、通常の `def` で関数を定義します。
    
    ```Python hl_lines="6-9"
    {!../../../docs_src/background_tasks/tutorial001.py!}
    ```
    
    ## バックグラウンドタスクの追加
    
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  5. docs/zh/docs/tutorial/dependencies/index.md

    上述这些操作都是可行的,**FastAPI** 知道该怎么处理。
    
    !!! note "笔记"
    
        如里不了解异步,请参阅[异步:*“着急了?”*](../../async.md){.internal-link target=_blank} 一章中 `async` 和 `await` 的内容。
    
    ## 与 OpenAPI 集成
    
    依赖项及子依赖项的所有请求声明、验证和需求都可以集成至同一个 OpenAPI 概图。
    
    所以,交互文档里也会显示依赖项的所有信息:
    
    <img src="/img/tutorial/dependencies/image01.png">
    
    ## 简单用法
    
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  6. docs/pl/docs/index.md

        return {"item_id": item_id, "q": q}
    ```
    
    <details markdown="1">
    <summary>Albo użyj <code>async def</code>...</summary>
    
    Jeżeli twój kod korzysta z `async` / `await`, użyj `async def`:
    
    ```Python hl_lines="9  14"
    from typing import Union
    
    from fastapi import FastAPI
    
    app = FastAPI()
    
    
    @app.get("/")
    async def read_root():
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  7. docs/ru/docs/index.md

        return {"item_id": item_id, "q": q}
    ```
    
    <details markdown="1">
    <summary>Или используйте <code>async def</code>...</summary>
    
    Если ваш код использует `async` / `await`, используйте `async def`:
    
    ```Python hl_lines="9  14"
    from typing import Union
    
    from fastapi import FastAPI
    
    app = FastAPI()
    
    
    @app.get("/")
    async def read_root():
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  8. docs/it/docs/index.md

    def read_item(item_id: int, q: str = Optional[None]):
        return {"item_id": item_id, "q": q}
    ```
    
    <details markdown="1">
    <summary>Oppure usa <code>async def</code>...</summary>
    
    Se il tuo codice usa `async` / `await`, allora usa `async def`:
    
    ```Python hl_lines="7  12"
    from fastapi import FastAPI
    from typing import Optional
    
    app = FastAPI()
    
    
    @app.get("/")
    async def read_root():
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  9. docs/zh/docs/index.md

    def read_item(item_id: int, q: Union[str, None] = None):
        return {"item_id": item_id, "q": q}
    ```
    
    <details markdown="1">
    <summary>或者使用 <code>async def</code>...</summary>
    
    如果你的代码里会出现 `async` / `await`,请使用 `async def`:
    
    ```Python hl_lines="9  14"
    from typing import Union
    
    from fastapi import FastAPI
    
    app = FastAPI()
    
    
    @app.get("/")
    async def read_root():
        return {"Hello": "World"}
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  10. docs/zh/docs/tutorial/sql-databases.md

    ### 关于 `def` 对比 `async def`
    
    *在这里,我们在路径操作函数*和依赖项中都使用着 SQLAlchemy 模型,它将与外部数据库进行通信。
    
    这会需要一些“等待时间”。
    
    但是由于 SQLAlchemy 不具有`await`直接使用的兼容性,因此类似于:
    
    ```Python
    user = await db.query(User).first()
    ```
    
    ...相反,我们可以使用:
    
    ```Python
    user = db.query(User).first()
    ```
    
    然后我们应该声明*路径操作函数*和不带 的依赖关系`async def`,只需使用普通的`def`,如下:
    
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