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Results 1 - 10 of 125 for user_1 (0.06 seconds)

  1. 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
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  2. 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
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  3. 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
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  4. 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
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  5. 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
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  6. 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
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  7. 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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  8. 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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  9. 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
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  10. 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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