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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 - 7.4K bytes - Click Count (0) -
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 - 201 bytes - Click Count (0) -
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 - 10.7K bytes - Click Count (0) -
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 - 7.1K bytes - Click Count (0) -
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 - 7.7K bytes - Click Count (0) -
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 - 6.3K bytes - Click Count (0) -
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 - 10.7K bytes - Click Count (0) -
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 - 1.9K bytes - Click Count (0) -
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 - 8K bytes - Click Count (0) -
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 - 15.1K bytes - Click Count (0)