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docs/ru/docs/python-types.md
## Мотивация Давайте начнем с простого примера: ```Python {!../../../docs_src/python_types/tutorial001.py!} ``` Вызов этой программы выводит: ``` John Doe ``` Функция делает следующее: * Принимает `first_name` и `last_name`. * Преобразует первую букву содержимого каждой переменной в верхний регистр с `title()`.
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docs/uk/docs/python-types.md
## Мотивація Давайте почнемо з простого прикладу: ```Python {!../../../docs_src/python_types/tutorial001.py!} ``` Виклик цієї програми виводить: ``` John Doe ``` Функція виконує наступне: * Бере `first_name` та `last_name`. * Конвертує кожну літеру кожного слова у верхній регістр за допомогою `title()`.
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docs/vi/docs/features.md
return user_id # A Pydantic model class User(BaseModel): id: int name: str joined: date ``` Sau đó có thể được sử dụng: ```Python my_user: User = User(id=3, name="John Doe", joined="2018-07-19") second_user_data = { "id": 4, "name": "Mary", "joined": "2018-11-30", } my_second_user: User = User(**second_user_data) ``` !!! info
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docs/ru/docs/tutorial/extra-models.md
Поэтому, если мы создадим Pydantic-объект `user_in` таким способом: ```Python user_in = UserIn(username="john", password="secret", email="john.doe@example.com") ``` и затем вызовем: ```Python user_dict = user_in.dict() ``` то теперь у нас есть `dict` с данными модели в переменной `user_dict` (это `dict` вместо объекта Pydantic-модели).
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docs/en/docs/tutorial/extra-models.md
Pydantic models have a `.dict()` method that returns a `dict` with the model's data. So, if we create a Pydantic object `user_in` like: ```Python user_in = UserIn(username="john", password="secret", email="john.doe@example.com") ``` and then we call: ```Python user_dict = user_in.dict() ``` we now have a `dict` with the data in the variable `user_dict` (it's a `dict` instead of a Pydantic model object).
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docs/pt/docs/tutorial/extra-models.md
Os modelos Pydantic possuem um método `.dict()` que retorna um `dict` com os dados do modelo. Então, se criarmos um objeto Pydantic `user_in` como: ```Python user_in = UserIn(username="john", password="secret", email="john.doe@example.com") ``` e depois chamarmos: ```Python user_dict = user_in.dict() ``` agora temos um `dict` com os dados na variável `user_dict` (é um `dict` em vez de um objeto de modelo Pydantic).
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docs/em/docs/tutorial/extra-models.md
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docs/en/docs/python-types.md
## Motivation Let's start with a simple example: ```Python {!../../../docs_src/python_types/tutorial001.py!} ``` Calling this program outputs: ``` John Doe ``` The function does the following: * Takes a `first_name` and `last_name`. * Converts the first letter of each one to upper case with `title()`.
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docs/de/docs/features.md
# Ein Pydantic-Modell class User(BaseModel): id: int name: str joined: date ``` Das kann nun wie folgt verwendet werden: ```Python my_user: User = User(id=3, name="John Doe", joined="2018-07-19") second_user_data = { "id": 4, "name": "Mary", "joined": "2018-11-30", } my_second_user: User = User(**second_user_data) ``` !!! info
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docs/zh/docs/tutorial/security/simple-oauth2.md
### 获取当前用户数据 使用 `/users/me` 路径的 `GET` 操作。 可以提取如下当前用户数据: ```JSON { "username": "johndoe", "email": "******@****.***", "full_name": "John Doe", "disabled": false, "hashed_password": "fakehashedsecret" } ``` <img src="https://fastapi.tiangolo.com/img/tutorial/security/image06.png"> 点击小锁图标,注销后,再执行同样的操作,则会得到 HTTP 401 错误: ```JSON
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