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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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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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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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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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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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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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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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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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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,
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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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