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  1. docs/en/docs/release-notes.md

        * <a href="https://docs.pydantic.dev/latest/usage/types/extra_types/extra_types/" target="_blank"><code>pydantic-extra-types</code></a> - for extra types to be used with Pydantic.
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  2. docs/pt/docs/tutorial/extra-data-types.md

    * Você pode checar todos os tipos de dados válidos do Pydantic aqui: <a href="https://docs.pydantic.dev/latest/concepts/types/" class="external-link" target="_blank">Tipos de dados do Pydantic</a>.
    
    ## Exemplo
    
    Aqui está um exemplo de *operação de rota* com parâmetros utilizando-se de alguns dos tipos acima.
    
    ```Python hl_lines="1  3  12-16"
    {!../../../docs_src/extra_data_types/tutorial001.py!}
    ```
    
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  3. docs/em/docs/python-types.md

    <img src="/img/python-types/image02.png">
    
    ⏮️ 👈, 👆 💪 📜, 👀 🎛, ⏭ 👆 🔎 1️⃣ 👈 "💍 🔔":
    
    <img src="/img/python-types/image03.png">
    
    ## 🌅 🎯
    
    ✅ 👉 🔢, ⚫️ ⏪ ✔️ 🆎 🔑:
    
    ```Python hl_lines="1"
    {!../../../docs_src/python_types/tutorial003.py!}
    ```
    
    ↩️ 👨‍🎨 💭 🆎 🔢, 👆 🚫 🕴 🤚 🛠️, 👆 🤚 ❌ ✅:
    
    <img src="/img/python-types/image04.png">
    
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  4. docs/uk/docs/tutorial/extra-data-types.md

        {!> ../../../docs_src/extra_data_types/tutorial001_an_py39.py!}
        ```
    
    === "Python 3.8+"
    
        ```Python hl_lines="1  3  13-17"
        {!> ../../../docs_src/extra_data_types/tutorial001_an.py!}
        ```
    
    === "Python 3.10+ non-Annotated"
    
        !!! tip
            Бажано використовувати `Annotated` версію, якщо це можливо.
    
        ```Python hl_lines="1  2  11-15"
        {!> ../../../docs_src/extra_data_types/tutorial001_py310.py!}
        ```
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  5. docs/ru/docs/tutorial/extra-data-types.md

    ## Пример
    
    Вот пример *операции пути* с параметрами, который демонстрирует некоторые из вышеперечисленных типов.
    
    === "Python 3.8 и выше"
    
        ```Python hl_lines="1  3  12-16"
        {!> ../../../docs_src/extra_data_types/tutorial001.py!}
        ```
    
    === "Python 3.10 и выше"
    
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  6. docs/ja/docs/python-types.md

    同じタイミングで`Ctrl+Space`で自動補完を実行すると、以下のようになります:
    
    <img src="https://fastapi.tiangolo.com/img/python-types/image02.png">
    
    これであれば、あなたは「ベルを鳴らす」一つを見つけるまで、オプションを見て、スクロールすることができます:
    
    <img src="https://fastapi.tiangolo.com/img/python-types/image03.png">
    
    ## より強い動機
    
    この関数を見てください。すでに型ヒントを持っています:
    
    ```Python hl_lines="1"
    {!../../../docs_src/python_types/tutorial003.py!}
    ```
    
    エディタは変数の型を知っているので、補完だけでなく、エラーチェックをすることもできます。
    
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  7. docs/en/docs/tutorial/extra-data-types.md

    * You can check all the valid pydantic data types here: <a href="https://docs.pydantic.dev/latest/usage/types/types/" class="external-link" target="_blank">Pydantic data types</a>.
    
    ## Example
    
    Here's an example *path operation* with parameters using some of the above types.
    
    === "Python 3.10+"
    
        ```Python hl_lines="1  3  12-16"
        {!> ../../../docs_src/extra_data_types/tutorial001_an_py310.py!}
        ```
    
    === "Python 3.9+"
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  8. docs/pt/docs/features.md

    Tudo é baseado no padrão das declarações de **tipos do Python 3.8** (graças ao Pydantic). Nenhuma sintaxe nova para aprender. Apenas o padrão moderno do Python.
    
    Se você precisa refrescar a memória rapidamente sobre como usar tipos do Python (mesmo que você não use o FastAPI), confira esse rápido tutorial: [Tipos do Python](python-types.md){.internal-link target=_blank}.
    
    Você escreve Python padrão com tipos:
    
    ```Python
    from datetime import date
    
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  9. requirements-tests.txt

    sqlalchemy >=1.3.18,<1.4.43
    databases[sqlite] >=0.3.2,<0.7.0
    flask >=1.1.2,<3.0.0
    anyio[trio] >=3.2.1,<4.0.0
    python-jose[cryptography] >=3.3.0,<4.0.0
    pyyaml >=5.3.1,<7.0.0
    passlib[bcrypt] >=1.7.2,<2.0.0
    
    # types
    types-ujson ==5.7.0.1
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  10. docs/en/docs/tutorial/body-nested-models.md

    * Data validation
    * Automatic documentation
    
    ## Special types and validation
    
    Apart from normal singular types like `str`, `int`, `float`, etc. you can use more complex singular types that inherit from `str`.
    
    To see all the options you have, checkout the docs for <a href="https://docs.pydantic.dev/latest/concepts/types/" class="external-link" target="_blank">Pydantic's exotic types</a>. You will see some examples in the next chapter.
    
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