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  1. docs/de/docs/advanced/path-operation-advanced-configuration.md

    ```Python hl_lines="6"
    {!../../../docs_src/path_operation_advanced_configuration/tutorial003.py!}
    ```
    
    ## Fortgeschrittene Beschreibung mittels Docstring
    
    Sie können die verwendeten Zeilen aus dem Docstring einer *Pfadoperation-Funktion* einschränken, die für OpenAPI verwendet werden.
    
    Das Hinzufügen eines `\f` (ein maskiertes „Form Feed“-Zeichen) führt dazu, dass **FastAPI** die für OpenAPI verwendete Ausgabe an dieser Stelle abschneidet.
    
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  2. docs/en/docs/tutorial/background-tasks.md

    ## Caveat
    
    If you need to perform heavy background computation and you don't necessarily need it to be run by the same process (for example, you don't need to share memory, variables, etc), you might benefit from using other bigger tools like <a href="https://docs.celeryq.dev" class="external-link" target="_blank">Celery</a>.
    
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  3. fastapi/routing.py

        in another `APIRouter` (ultimately included in the app).
    
        Read more about it in the
        [FastAPI docs for Bigger Applications - Multiple Files](https://fastapi.tiangolo.com/tutorial/bigger-applications/).
    
        ## Example
    
        ```python
        from fastapi import APIRouter, FastAPI
    
        app = FastAPI()
        router = APIRouter()
    
    
    Python
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  4. docs/de/docs/tutorial/schema-extra-example.md

    Das Format dieses OpenAPI-spezifischen Felds `examples` ist ein `dict` mit **mehreren Beispielen** (anstelle einer `list`e), jedes mit zusätzlichen Informationen, die auch zu **OpenAPI** hinzugefügt werden.
    
    Dies erfolgt nicht innerhalb jedes in OpenAPI enthaltenen JSON-Schemas, sondern außerhalb, in der *Pfadoperation*.
    
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  5. docs/em/docs/tutorial/testing.md

    ## 🎏 💯
    
    🎰 🈸, 👆 🎲 🔜 ✔️ 👆 💯 🎏 📁.
    
    &amp; 👆 **FastAPI** 🈸 5️⃣📆 ✍ 📚 📁/🕹, ♒️.
    
    ### **FastAPI** 📱 📁
    
    ➡️ 💬 👆 ✔️ 📁 📊 🔬 [🦏 🈸](bigger-applications.md){.internal-link target=_blank}:
    
    ```
    .
    ├── app
    │   ├── __init__.py
    │   └── main.py
    ```
    
    📁 `main.py` 👆 ✔️ 👆 **FastAPI** 📱:
    
    
    ```Python
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  6. docs/zh/docs/tutorial/testing.md

    ## 分离测试
    
    在实际应用中,你可能会把你的测试放在另一个文件里。
    
    您的**FastAPI**应用程序也可能由一些文件/模块组成等等。
    
    ### **FastAPI** app 文件
    
    假设你有一个像 [更大的应用](bigger-applications.md){.internal-link target=_blank} 中所描述的文件结构:
    
    ```
    .
    ├── app
    │   ├── __init__.py
    │   └── main.py
    ```
    
    在 `main.py` 文件中你有一个 **FastAPI** app:
    
    
    ```Python
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  7. docs/en/docs/deployment/docker.md

    COPY ./requirements.txt /app/requirements.txt
    
    RUN pip install --no-cache-dir --upgrade -r /app/requirements.txt
    
    COPY ./app /app
    ```
    
    ### Bigger Applications
    
    If you followed the section about creating [Bigger Applications with Multiple Files](../tutorial/bigger-applications.md){.internal-link target=_blank}, your `Dockerfile` might instead look like:
    
    ```Dockerfile hl_lines="7"
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  8. docs/em/docs/deployment/docker.md

    COPY ./requirements.txt /app/requirements.txt
    
    RUN pip install --no-cache-dir --upgrade -r /app/requirements.txt
    
    COPY ./app /app
    ```
    
    ### 🦏 🈸
    
    🚥 👆 ⏩ 📄 🔃 🏗 [🦏 🈸 ⏮️ 💗 📁](../tutorial/bigger-applications.md){.internal-link target=_blank}, 👆 `Dockerfile` 💪 ↩️ 👀 💖:
    
    ```Dockerfile hl_lines="7"
    FROM tiangolo/uvicorn-gunicorn-fastapi:python3.9
    
    COPY ./requirements.txt /app/requirements.txt
    
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  9. docs/ja/docs/deployment/docker.md

    COPY ./requirements.txt /app/requirements.txt
    
    RUN pip install --no-cache-dir --upgrade -r /app/requirements.txt
    
    COPY ./app /app
    ```
    
    ### より大きなアプリケーション
    
    [複数のファイルを持つ大きなアプリケーション](../tutorial/bigger-applications.md){.internal-link target=_blank}を作成するセクションに従った場合、`Dockerfile`は次のようになります:
    
    ```Dockerfile hl_lines="7"
    FROM tiangolo/uvicorn-gunicorn-fastapi:python3.9
    
    COPY ./requirements.txt /app/requirements.txt
    
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  10. docs/de/docs/help-fastapi.md

    ### Das Problem verstehen
    
    * Stellen Sie zunächst sicher, dass Sie **das Problem verstehen**, welches der Pull Request zu lösen versucht. Möglicherweise gibt es eine längere Diskussion dazu in einer GitHub-Diskussion oder einem GitHub-Issue.
    
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