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  1. docs/em/docs/tutorial/debugging.md

    👆 💪 🔗 🕹 👆 👨‍🎨, 🖼 ⏮️ 🎙 🎙 📟 ⚖️ 🗒.
    
    ## 🤙 `uvicorn`
    
    👆 FastAPI 🈸, 🗄 & 🏃 `uvicorn` 🔗:
    
    ```Python hl_lines="1  15"
    {!../../docs_src/debugging/tutorial001.py!}
    ```
    
    ### 🔃 `__name__ == "__main__"`
    
    👑 🎯 `__name__ == "__main__"` ✔️ 📟 👈 🛠️ 🕐❔ 👆 📁 🤙 ⏮️:
    
    <div class="termy">
    
    ```console
    $ python myapp.py
    ```
    
    </div>
    
    ✋️ 🚫 🤙 🕐❔ ➕1️⃣ 📁 🗄 ⚫️, 💖:
    
    ```Python
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  2. docs/pt/docs/tutorial/debugging.md

    ## Chamar `uvicorn`
    
    Em seu aplicativo FastAPI, importe e execute `uvicorn` diretamente:
    
    ```Python hl_lines="1  15"
    {!../../docs_src/debugging/tutorial001.py!}
    ```
    
    ### Sobre `__name__ == "__main__"`
    
    O objetivo principal de `__name__ == "__main__"` é ter algum código que seja executado quando seu arquivo for chamado com:
    
    <div class="termy">
    
    ```console
    $ python myapp.py
    ```
    
    </div>
    
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  3. docs/fr/docs/tutorial/debugging.md

    ## Faites appel à `uvicorn`
    
    Dans votre application FastAPI, importez et exécutez directement `uvicorn` :
    
    {* ../../docs_src/debugging/tutorial001.py hl[1,15] *}
    
    ### À propos de `__name__ == "__main__"`
    
    Le but principal de `__name__ == "__main__"` est d'avoir du code qui est exécuté lorsque votre fichier est appelé avec :
    
    <div class="termy">
    
    ```console
    $ python myapp.py
    ```
    
    </div>
    
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  4. docs/ru/docs/tutorial/debugging.md

    ## Вызов `uvicorn`
    
    В вашем FastAPI приложении, импортируйте и вызовите `uvicorn` напрямую:
    
    ```Python hl_lines="1  15"
    {!../../docs_src/debugging/tutorial001.py!}
    ```
    
    ### Описание `__name__ == "__main__"`
    
    Главная цель использования `__name__ == "__main__"` в том, чтобы код выполнялся при запуске файла с помощью:
    
    <div class="termy">
    
    ```console
    $ python myapp.py
    ```
    
    </div>
    
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  5. docs/ko/docs/tutorial/debugging.md

    ## `uvicorn` 호출
    
    FastAPI 애플리케이션에서 `uvicorn`을 직접 임포트하여 실행합니다
    
    ```Python hl_lines="1  15"
    {!../../docs_src/debugging/tutorial001.py!}
    ```
    
    ### `__name__ == "__main__"` 에 대하여
    
    `__name__ == "__main__"`의 주요 목적은 다음과 같이 파일이 호출될 때 실행되는 일부 코드를 갖는 것입니다.
    
    <div class="termy">
    
    ```console
    $ python myapp.py
    ```
    
    </div>
    
    그러나 다음과 같이 다른 파일을 가져올 때는 호출되지 않습니다.
    
    ```Python
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  6. docs/en/docs/tutorial/debugging.md

    ## Call `uvicorn`
    
    In your FastAPI application, import and run `uvicorn` directly:
    
    ```Python hl_lines="1  15"
    {!../../docs_src/debugging/tutorial001.py!}
    ```
    
    ### About `__name__ == "__main__"`
    
    The main purpose of the `__name__ == "__main__"` is to have some code that is executed when your file is called with:
    
    <div class="termy">
    
    ```console
    $ python myapp.py
    ```
    
    </div>
    
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  7. docs/zh/docs/tutorial/debugging.md

    你可以在编辑器中连接调试器,例如使用 Visual Studio Code 或 PyCharm。
    
    ## 调用 `uvicorn`
    
    在你的 FastAPI 应用中直接导入 `uvicorn` 并运行:
    
    ```Python hl_lines="1  15"
    {!../../docs_src/debugging/tutorial001.py!}
    ```
    
    ### 关于 `__name__ == "__main__"`
    
    `__name__ == "__main__"` 的主要目的是使用以下代码调用文件时执行一些代码:
    
    <div class="termy">
    
    ```console
    $ python myapp.py
    ```
    
    </div>
    
    而当其它文件导入它时并不会被调用,像这样:
    
    ```Python
    from myapp import app
    ```
    
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  8. docs/ja/docs/tutorial/debugging.md

    ## `uvicorn` の実行
    
    FastAPIアプリケーション上で、`uvicorn` を直接インポートして実行します:
    
    ```Python hl_lines="1  15"
    {!../../docs_src/debugging/tutorial001.py!}
    ```
    
    ### `__name__ == "__main__"` について
    
    `__name__ == "__main__"` の主な目的は、ファイルが次のコマンドで呼び出されたときに実行されるコードを用意することです:
    
    <div class="termy">
    
    ```console
    $ python myapp.py
    ```
    
    </div>
    
    ただし、次のように、別のファイルからインポートされるときには呼び出されません:
    
    ```Python
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  9. fastapi/params.py

            self.dependency = dependency
            self.use_cache = use_cache
    
        def __repr__(self) -> str:
            attr = getattr(self.dependency, "__name__", type(self.dependency).__name__)
            cache = "" if self.use_cache else ", use_cache=False"
            return f"{self.__class__.__name__}({attr}{cache})"
    
    
    class Security(Depends):
        def __init__(
            self,
            dependency: Optional[Callable[..., Any]] = None,
    Registered: Sun Nov 03 07:19:11 UTC 2024
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  10. ci/official/utilities/rename_and_verify_wheels.sh

      "$python" -c 'import tensorflow as tf; t1=tf.constant([1,2,3,4]); t2=tf.constant([5,6,7,8]); print(tf.add(t1,t2).shape)'
      "$python" -c 'import sys; import tensorflow as tf; sys.exit(0 if "keras" in tf.keras.__name__ else 1)'
    fi
    # Import tf nightly wheel built with numpy2 from PyPI in numpy1 env for testing.
    # This aims to maintain TF compatibility with NumPy 1.x until 2025 b/361369076.
    if [[ "$TFCI_WHL_NUMPY_VERSION" == 1 ]]; then
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