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  1. docs/pt/docs/advanced/dataclasses.md

    # Usando Dataclasses
    
    FastAPI é construído em cima do **Pydantic**, e eu tenho mostrado como usar modelos Pydantic para declarar requisições e respostas.
    
    Mas o FastAPI também suporta o uso de <a href="https://docs.python.org/3/library/dataclasses.html" class="external-link" target="_blank">`dataclasses`</a> da mesma forma:
    
    {* ../../docs_src/dataclasses/tutorial001.py hl[1,7:12,19:20] *}
    
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  2. docs/ja/docs/tutorial/request-forms.md

    # フォームデータ
    
    JSONの代わりにフィールドを受け取る場合は、`Form`を使用します。
    
    /// info | 情報
    
    フォームを使うためには、まず<a href="https://github.com/Kludex/python-multipart" class="external-link" target="_blank">`python-multipart`</a>をインストールします。
    
    たとえば、`pip install python-multipart`のように。
    
    ///
    
    ## `Form`のインポート
    
    `fastapi`から`Form`をインポートします:
    
    {* ../../docs_src/request_forms/tutorial001.py hl[1] *}
    
    ## `Form`のパラメータの定義
    
    `Body`や`Query`の場合と同じようにフォームパラメータを作成します:
    
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  3. docs/de/docs/project-generation.md

    * Vollständige **Docker**-Integration (Docker-basiert).
    * Docker-Schwarmmodus-Deployment.
    * **Docker Compose**-Integration und Optimierung für die lokale Entwicklung.
    * **Produktionsbereit** Python-Webserver, verwendet Uvicorn und Gunicorn.
    * Python <a href="https://github.com/fastapi/fastapi" class="external-link" target="_blank">**FastAPI**</a>-Backend:
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  4. docs/de/docs/tutorial/security/first-steps.md

    ## Ausführen
    
    /// info
    
    Um hochgeladene Dateien zu empfangen, installieren Sie zuerst <a href="https://andrew-d.github.io/python-multipart/" class="external-link" target="_blank">`python-multipart`</a>.
    
    Z. B. `pip install python-multipart`.
    
    Das, weil **OAuth2** „Formulardaten“ zum Senden von `username` und `password` verwendet.
    
    ///
    
    Führen Sie das Beispiel aus mit:
    
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  5. docs/ru/docs/tutorial/dependencies/index.md

    ```Python
    commons: Annotated[dict, Depends(common_parameters)]
    ```
    
    Но потому что мы используем `Annotated`,  мы можем хранить `Annotated` значение в переменной и использовать его в нескольких местах:
    
    {* ../../docs_src/dependencies/tutorial001_02_an_py310.py hl[12,16,21] *}
    
    /// tip | Подсказка
    
    Это стандартный синтаксис python и называется "type alias", это не особенность **FastAPI**.
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  6. docs/ru/docs/tutorial/security/first-steps.md

    {* ../../docs_src/security/tutorial001_an_py39.py *}
    
    ## Запуск
    
    /// info | Дополнительная информация
    
    Вначале, установите библиотеку <a href="https://github.com/Kludex/python-multipart" class="external-link" target="_blank">`python-multipart`</a>.
    
    А именно: `pip install python-multipart`.
    
    Это связано с тем, что **OAuth2** использует "данные формы" для передачи `имени пользователя` и `пароля`.
    
    ///
    
    Запустите ваш сервер:
    
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  7. docs/ko/docs/tutorial/encoder.md

    이 예시는 Pydantic 모델을 `dict`로, `datetime` 형식을 `str`로 변환합니다.
    
    이렇게 호출한 결과는 파이썬 표준인 <a href="https://docs.python.org/3/library/json.html#json.dumps" class="external-link" target="_blank">`json.dumps()`</a>로 인코딩 할 수 있습니다.
    
    길이가 긴 문자열 형태의 JSON 형식(문자열)의 데이터가 들어있는 상황에서는 `str`로 반환하지 않습니다. JSON과 모두 호환되는 값과 하위 값이 있는 Python 표준 데이터 구조 (예: `dict`)를 반환합니다.
    
    /// note | 참고
    
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  8. docs/pt/docs/deployment/docker.md

    Por exemplo, há uma <a href="https://hub.docker.com/_/python" class="external-link" target="_blank">Imagem Python</a> oficial.
    
    E existe muitas outras imagens para diferentes coisas, como bancos de dados, por exemplo:
    
    * <a href="https://hub.docker.com/_/postgres" class="external-link" target="_blank">PostgreSQL</a>
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  9. docs/em/docs/features.md

    ### 🏛 🐍
    
    ⚫️ 🌐 ⚓️ 🔛 🐩 **🐍 3️⃣.6️⃣ 🆎** 📄 (👏 Pydantic). 🙅‍♂ 🆕 ❕ 💡. 🐩 🏛 🐍.
    
    🚥 👆 💪 2️⃣ ⏲ ↗️ ❔ ⚙️ 🐍 🆎 (🚥 👆 🚫 ⚙️ FastAPI), ✅ 📏 🔰: [🐍 🆎](python-types.md){.internal-link target=_blank}.
    
    👆 ✍ 🐩 🐍 ⏮️ 🆎:
    
    ```Python
    from datetime import date
    
    from pydantic import BaseModel
    
    # Declare a variable as a str
    # and get editor support inside the function
    def main(user_id: str):
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  10. docs/es/docs/advanced/events.md

    Un **context manager** en Python es algo que puedes usar en una declaración `with`, por ejemplo, `open()` puede ser usado como un context manager:
    
    ```Python
    with open("file.txt") as file:
        file.read()
    ```
    
    En versiones recientes de Python, también hay un **async context manager**. Lo usarías con `async with`:
    
    ```Python
    async with lifespan(app):
        await do_stuff()
    ```
    
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