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  1. docs/es/docs/advanced/settings.md

    `@lru_cache` es parte de `functools`, que es parte del library estándar de Python, puedes leer más sobre él en las <a href="https://docs.python.org/3/library/functools.html#functools.lru_cache" class="external-link" target="_blank">docs de Python para `@lru_cache`</a>.
    
    ## Resumen
    
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  2. docs/ru/docs/tutorial/dependencies/sub-dependencies.md

    //// tab | Python 3.6+
    
    ```Python hl_lines="1"
    async def needy_dependency(fresh_value: Annotated[str, Depends(get_value, use_cache=False)]):
        return {"fresh_value": fresh_value}
    ```
    
    ////
    
    //// tab | Python 3.6+ без Annotated
    
    /// tip | Подсказка
    
    Предпочтительнее использовать версию с аннотацией, если это возможно.
    
    ///
    
    ```Python hl_lines="1"
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  3. docs/ja/docs/async.md

    結果を返す前に待機する必要があり、これらの新しいPython機能をサポートする操作がある場合は、次のようにコーディングできます。
    
    ```Python
    burgers = await get_burgers(2)
    ```
    
    カギは `await` です。結果を `burgers`に保存する前に、`get_burgers(2)`の処理🕙の完了を待つ⏸必要があることをPythonに伝えます。これでPythonは、その間に (別のリクエストを受信するなど) 何か他のことができる🔀⏯ことを知ります。
    
    `await` が機能するためには、非同期処理をサポートする関数内にある必要があります。これは、`async def` で関数を宣言するだけでよいです:
    
    ```Python hl_lines="1"
    async def get_burgers(number: int):
        # ハンバーガーを作成するために非同期処理を実行
        return burgers
    ```
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  4. docs/em/docs/deployment/docker.md

    * ⏮️ ☁ 🐝 📳 🌑
    * ⏮️ ➕1️⃣ 🧰 💖 🖖
    * ⏮️ ☁ 🐕‍🦺 👈 ✊ 👆 📦 🖼 &amp; 🛠️ ⚫️
    
    ## ☁ 🖼 ⏮️ 🎶
    
    🚥 👆 ⚙️ <a href="https://python-poetry.org/" class="external-link" target="_blank">🎶</a> 🛠️ 👆 🏗 🔗, 👆 💪 ⚙️ ☁ 👁-▶️ 🏗:
    
    ```{ .dockerfile .annotate }
    # (1)
    FROM python:3.9 as requirements-stage
    
    # (2)
    WORKDIR /tmp
    
    # (3)
    RUN pip install poetry
    
    # (4)
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  5. docs/tr/docs/tutorial/request-forms.md

    /// info | Bilgi
    
    Formları kullanmak için öncelikle <a href="https://github.com/Kludex/python-multipart" class="external-link" target="_blank">`python-multipart`</a> paketini indirmeniz gerekmektedir.
    
    Örneğin `pip install python-multipart`.
    
    ///
    
    ## `Form` Sınıfını Projenize Dahil Edin
    
    `Form` sınıfını `fastapi`'den projenize dahil edin:
    
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  6. docs/fr/docs/project-generation.md

    * Intégration **Docker Compose** et optimisation pour développement local.
    * Serveur web Python **prêt au déploiement** utilisant Uvicorn et Gunicorn.
    * Backend Python <a href="https://github.com/fastapi/fastapi" class="external-link" target="_blank">**FastAPI**</a> :
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  7. docs/pt/docs/tutorial/dependencies/sub-dependencies.md

    //// tab | Python 3.8+
    
    ```Python hl_lines="1"
    async def needy_dependency(fresh_value: Annotated[str, Depends(get_value, use_cache=False)]):
        return {"fresh_value": fresh_value}
    ```
    
    ////
    
    //// tab | Python 3.8+ non-Annotated
    
    /// tip | Dica
    
    Utilize a versão com `Annotated` se possível.
    
    ///
    
    ```Python hl_lines="1"
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  8. docs/ko/docs/tutorial/request-forms-and-files.md

    # 폼 및 파일 요청
    
    `File` 과 `Form` 을 사용하여 파일과 폼을 함께 정의할 수 있습니다.
    
    /// info | 정보
    
    파일과 폼 데이터를 함께, 또는 각각 업로드하기 위해 먼저 <a href="https://github.com/Kludex/python-multipart" class="external-link" target="_blank">`python-multipart`</a>를 설치해야합니다.
    
    예 ) `pip install python-multipart`.
    
    ///
    
    ## `File` 및 `Form` 업로드
    
    {* ../../docs_src/request_forms_and_files/tutorial001.py hl[1] *}
    
    ## `File` 및 `Form` 매개변수 정의
    
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  9. docs/em/docs/tutorial/body-multiple-params.md

    🔄, ⚫️ 🔜 🗜 📊 🆎, ✔, 📄, ♒️.
    
    ## 💗 💪 = &amp; 🔢
    
    ↗️, 👆 💪 📣 🌖 🔢 🔢 🕐❔ 👆 💪, 🌖 🙆 💪 🔢.
    
    , 🔢, ⭐ 💲 🔬 🔢 🔢, 👆 🚫 ✔️ 🎯 🚮 `Query`, 👆 💪:
    
    ```Python
    q: Union[str, None] = None
    ```
    
    ⚖️ 🐍 3️⃣.1️⃣0️⃣ &amp; 🔛:
    
    ```Python
    q: str | None = None
    ```
    
    🖼:
    
    {* ../../docs_src/body_multiple_params/tutorial004.py hl[27] *}
    
    /// info
    
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  10. docs/de/docs/tutorial/body.md

    {* ../../docs_src/body/tutorial001_py310.py hl[2] *}
    
    ## Erstellen Sie Ihr Datenmodell
    
    Dann deklarieren Sie Ihr Datenmodell als eine Klasse, die von `BaseModel` erbt.
    
    Verwenden Sie Standard-Python-Typen für die Klassenattribute:
    
    {* ../../docs_src/body/tutorial001_py310.py hl[5:9] *}
    
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