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  1. docs/en/docs/tutorial/extra-models.md

    * The **output model** should not have a password.
    * The **database model** would probably need to have a hashed password.
    
    !!! danger
        Never store user's plaintext passwords. Always store a "secure hash" that you can then verify.
    
        If you don't know, you will learn what a "password hash" is in the [security chapters](security/simple-oauth2.md#password-hashing){.internal-link target=_blank}.
    
    ## Multiple models
    
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  2. docs/ru/docs/tutorial/extra-models.md

    У Pydantic-моделей есть метод `.dict()`, который возвращает `dict` с данными модели.
    
    Поэтому, если мы создадим Pydantic-объект `user_in` таким способом:
    
    ```Python
    user_in = UserIn(username="john", password="secret", email="******@****.***")
    ```
    
    и затем вызовем:
    
    ```Python
    user_dict = user_in.dict()
    ```
    
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  3. docs/pt/docs/tutorial/extra-models.md

    * O **modelo de saída** não deve ter uma senha.
    * O **modelo de banco de dados** provavelmente precisaria ter uma senha criptografada.
    
    !!! danger
        Nunca armazene senhas em texto simples dos usuários. Sempre armazene uma "hash segura" que você pode verificar depois.
    
        Se não souber, você aprenderá o que é uma "senha hash" nos [capítulos de segurança](security/simple-oauth2.md#password-hashing){.internal-link target=_blank}.
    
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  4. docs/em/docs/tutorial/extra-models.md

    ```Python
    user_in = UserIn(username="john", password="secret", email="******@****.***")
    ```
    
    & ⤴️ 👥 🤙:
    
    ```Python
    user_dict = user_in.dict()
    ```
    
    👥 🔜 ✔️ `dict` ⏮️ 💽 🔢 `user_dict` (⚫️ `dict` ↩️ Pydantic 🏷 🎚).
    
    & 🚥 👥 🤙:
    
    ```Python
    print(user_dict)
    ```
    
    👥 🔜 🤚 🐍 `dict` ⏮️:
    
    ```Python
    {
        'username': 'john',
        'password': 'secret',
        'email': '******@****.***',
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  5. docs/zh/docs/tutorial/extra-models.md

    ```Python
    user_in = UserIn(username="john", password="secret", email="******@****.***")
    ```
    
    就能以如下方式调用:
    
    ```Python
    user_dict = user_in.dict()
    ```
    
    现在,变量 `user_dict`中的就是包含数据的**字典**(变量 `user_dict` 是字典,不是 Pydantic 模型对象)。
    
    以如下方式调用:
    
    ```Python
    print(user_dict)
    ```
    
    输出的就是 Python **字典**:
    
    ```Python
    {
        'username': 'john',
        'password': 'secret',
        'email': '******@****.***',
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  6. docs/de/docs/tutorial/extra-models.md

    Pydantic-Modelle haben eine `.dict()`-Methode, die ein `dict` mit den Daten des Modells zurückgibt.
    
    Wenn wir also ein Pydantic-Objekt `user_in` erstellen, etwa so:
    
    ```Python
    user_in = UserIn(username="john", password="secret", email="******@****.***")
    ```
    
    und wir rufen seine `.dict()`-Methode auf:
    
    ```Python
    user_dict = user_in.dict()
    ```
    
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  7. docs/ja/docs/tutorial/extra-models.md

    ```Python
    user_in = UserIn(username="john", password="secret", email="******@****.***")
    ```
    
    そして呼び出すと:
    
    ```Python
    user_dict = user_in.dict()
    ```
    
    これで変数`user_dict`のデータを持つ`dict`ができました。(これはPydanticモデルのオブジェクトの代わりに`dict`です)。
    
    そして呼び出すと:
    
    ```Python
    print(user_dict)
    ```
    
    以下のようなPythonの`dict`を得ることができます:
    
    ```Python
    {
        'username': 'john',
        'password': 'secret',
        'email': '******@****.***',
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