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tests/test_security_scopes_sub_dependency.py
assert response.json() == { "user_me": { "user_me": "user_me_1", "current_user": { "user": "user_1", "scopes": ["me"], "db_session": "db_session_1", }, }, "user_items": { "user_items": "user_items_1", "user_me": { "user_me": "user_me_2", "current_user": {
Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Wed Dec 17 21:25:59 GMT 2025 - 2.9K bytes - Click Count (0) -
docs/en/docs/tutorial/extra-models.md
### About `**user_in.model_dump()` { #about-user-in-model-dump } #### Pydantic's `.model_dump()` { #pydantics-model-dump } `user_in` is a Pydantic model of class `UserIn`. Pydantic models have a `.model_dump()` method that returns a `dict` with the model's data. So, if we create a Pydantic object `user_in` like: ```Python
Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Thu Mar 05 18:13:19 GMT 2026 - 6.7K bytes - Click Count (0) -
src/main/java/org/codelibs/fess/app/service/UserService.java
* Handles user authentication setup and database persistence. * If the surname is blank, it will be set to the user's name. * * @param user the user entity to store */ public void store(final User user) { final String username = user.getName(); final boolean isUpdate = StringUtil.isNotBlank(user.getId()); if (logger.isDebugEnabled()) {Created: Tue Mar 31 13:07:34 GMT 2026 - Last Modified: Fri Jan 02 06:22:27 GMT 2026 - 9.3K bytes - Click Count (0) -
docs_src/extra_models/tutorial001_py310.py
def fake_save_user(user_in: UserIn): hashed_password = fake_password_hasher(user_in.password) user_in_db = UserInDB(**user_in.model_dump(), hashed_password=hashed_password) print("User saved! ..not really") return user_in_db @app.post("/user/", response_model=UserOut) async def create_user(user_in: UserIn): user_saved = fake_save_user(user_in)
Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Sat Dec 20 15:55:38 GMT 2025 - 905 bytes - Click Count (0) -
docs/uk/docs/tutorial/extra-models.md
### Про `**user_in.model_dump()` { #about-user-in-model-dump } #### `.model_dump()` у Pydantic { #pydantics-model-dump } `user_in` - це модель Pydantic класу `UserIn`. Моделі Pydantic мають метод `.model_dump()`, який повертає `dict` з даними моделі. Отже, якщо ми створимо об’єкт Pydantic `user_in` так: ```Python
Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Thu Mar 19 18:27:41 GMT 2026 - 9.4K bytes - Click Count (0) -
docs/tr/docs/tutorial/extra-models.md
### `**user_in.model_dump()` Hakkında { #about-user-in-model-dump } #### Pydantic'in `.model_dump()` Metodu { #pydantics-model-dump } `user_in`, `UserIn` sınıfına ait bir Pydantic modelidir. Pydantic modellerinde, model verilerini içeren bir `dict` döndüren `.model_dump()` metodu bulunur. Yani, şöyle bir Pydantic nesnesi `user_in` oluşturursak: ```Python
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/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() ``` haben wir jetzt ein `dict` mit den Daten in der Variablen `user_dict` (es ist ein `dict` statt eines Pydantic-Modellobjekts).
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)