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

    Yukarıdaki örnekte `user_dict`'i `user_in.model_dump()` ile elde ettiğimiz için, şu kod:
    
    ```Python
    user_dict = user_in.model_dump()
    UserInDB(**user_dict)
    ```
    
    şuna eşdeğerdir:
    
    ```Python
    UserInDB(**user_in.model_dump())
    ```
    
    Created: Sun Apr 05 07:19:11 GMT 2026
    - Last Modified: Fri Mar 20 07:53:17 GMT 2026
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  2. docs/sts/rw-ldap-username.json

    Harshavardhana <******@****.***> 1622223187 -0700
    Created: Sun Apr 05 19:28:12 GMT 2026
    - Last Modified: Fri May 28 17:33:07 GMT 2021
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  3. docs/ru/docs/tutorial/extra-models.md

    ### Про `**user_in.model_dump()` { #about-user-in-model-dump }
    
    #### `.model_dump()` из Pydantic { #pydantics-model-dump }
    
    `user_in` — это Pydantic-модель класса `UserIn`.
    
    У Pydantic-моделей есть метод `.model_dump()`, который возвращает `dict` с данными модели.
    
    Поэтому, если мы создадим Pydantic-объект `user_in` таким способом:
    
    ```Python
    Created: Sun Apr 05 07:19:11 GMT 2026
    - Last Modified: Thu Mar 19 17:56:20 GMT 2026
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  4. docs/pt/docs/tutorial/extra-models.md

    ### Sobre `**user_in.model_dump()` { #about-user-in-model-dump }
    
    #### O `.model_dump()` do Pydantic { #pydantics-model-dump }
    
    `user_in` é um modelo Pydantic da classe `UserIn`.
    
    Os modelos Pydantic possuem um método `.model_dump()` que retorna um `dict` com os dados do modelo.
    
    Então, se criarmos um objeto Pydantic `user_in` como:
    
    ```Python
    Created: Sun Apr 05 07:19:11 GMT 2026
    - Last Modified: Thu Mar 19 18:20:43 GMT 2026
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  5. docs/de/docs/tutorial/extra-models.md

    Wenn wir also ein Pydantic-Objekt `user_in` erstellen, etwa so:
    
    ```Python
    user_in = UserIn(username="john", password="secret", email="******@****.***")
    ```
    
    und dann aufrufen:
    
    ```Python
    user_dict = user_in.model_dump()
    ```
    
    Created: Sun Apr 05 07:19:11 GMT 2026
    - Last Modified: Thu Mar 19 17:58:09 GMT 2026
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  6. docs/zh-hant/docs/tutorial/extra-models.md

    ### 關於 `**user_in.model_dump()` { #about-user-in-model-dump }
    
    #### Pydantic 的 `.model_dump()` { #pydantics-model-dump }
    
    `user_in` 是一個 `UserIn` 類別的 Pydantic 模型。
    
    Pydantic 模型有 `.model_dump()` 方法,會回傳包含該模型資料的 `dict`。
    
    因此,若我們建立一個 Pydantic 物件 `user_in` 如:
    
    ```Python
    user_in = UserIn(username="john", password="secret", email="******@****.***")
    ```
    
    接著呼叫:
    
    Created: Sun Apr 05 07:19:11 GMT 2026
    - Last Modified: Fri Mar 20 17:05:38 GMT 2026
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  7. docs/fr/docs/features.md

    ```Python
    from datetime import date
    
    from pydantic import BaseModel
    
    # Déclarez une variable comme étant une str
    # et profitez de l'aide de l'éditeur dans cette fonction
    def main(user_id: str):
        return user_id
    
    
    # Un modèle Pydantic
    class User(BaseModel):
        id: int
        name: str
        joined: date
    ```
    
    Qui peuvent ensuite être utilisés comme ceci :
    
    ```Python
    Created: Sun Apr 05 07:19:11 GMT 2026
    - Last Modified: Thu Mar 19 18:37:13 GMT 2026
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  8. tests/test_dependency_yield_except_httpexception.py

    
    @app.put("/invalid-user/{user_id}")
    def put_invalid_user(
        user_id: str, name: str = Body(), db: dict = Depends(get_database)
    ):
        db[user_id] = name
        raise HTTPException(status_code=400, detail="Invalid user")
    
    
    @app.put("/user/{user_id}")
    def put_user(user_id: str, name: str = Body(), db: dict = Depends(get_database)):
        db[user_id] = name
        return {"message": "OK"}
    
    
    Created: Sun Apr 05 07:19:11 GMT 2026
    - Last Modified: Mon Sep 29 03:29:38 GMT 2025
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  9. docs/ko/docs/tutorial/extra-models.md

    ### `**user_in.model_dump()` 에 대하여 { #about-user-in-model-dump }
    
    #### Pydantic의 `.model_dump()` { #pydantics-model-dump }
    
    `user_in`은 Pydantic 모델 클래스인 `UserIn`입니다.
    
    Pydantic 모델은 모델 데이터를 포함한 `dict`를 반환하는 `.model_dump()` 메서드를 제공합니다.
    
    따라서, 다음과 같이 Pydantic 객체 `user_in`을 생성할 수 있습니다:
    
    ```Python
    user_in = UserIn(username="john", password="secret", email="******@****.***")
    ```
    
    Created: Sun Apr 05 07:19:11 GMT 2026
    - Last Modified: Fri Mar 20 14:06:26 GMT 2026
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  10. docs/uk/docs/features.md

    Ви пишете стандартний Python з типами:
    
    ```Python
    from datetime import date
    
    from pydantic import BaseModel
    
    # Оголосіть змінну як str
    # та отримайте підтримку редактора всередині функції
    def main(user_id: str):
        return user_id
    
    
    # Модель Pydantic
    class User(BaseModel):
        id: int
        name: str
        joined: date
    ```
    
    Далі це можна використовувати так:
    
    ```Python
    Created: Sun Apr 05 07:19:11 GMT 2026
    - Last Modified: Thu Mar 19 18:27:41 GMT 2026
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