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******@****.***")
```

and then we call:

```Python
user_dict = user_in.dict()
```

        Map<String, Object> paramMap = new HashMap<>();
        TestUser user = new TestUser("John", 30);
        paramMap.put("user", user);

        Object result = scriptEngine.evaluate(template, paramMap);
        assertEquals("User: John, Age: 30", result);
    }

    // Test evaluate method with special characters in template

/**
 * A ScheduledExecutorService that executes all scheduled actions immediately in the calling thread.
 *
 * <p>See {@link TestingExecutors#sameThreadScheduledExecutor()} for a full list of constraints.
 *
 * @author John Sirois
 * @author Zach van Schouwen
 */
@GwtIncompatible
// TODO(cpovirk): Make this final (but that may break Mockito spy calls).
class SameThreadScheduledExecutorService extends AbstractExecutorService

/**
 * A ScheduledExecutorService that executes all scheduled actions immediately in the calling thread.
 *
 * <p>See {@link TestingExecutors#sameThreadScheduledExecutor()} for a full list of constraints.
 *
 * @author John Sirois
 * @author Zach van Schouwen
 */
@GwtIncompatible
// TODO(cpovirk): Make this final (but that may break Mockito spy calls).
class SameThreadScheduledExecutorService extends AbstractExecutorService

        Map<String, Object> context = new HashMap<>();
        context.put("password", "secretpassword123");
        context.put("sessionId", "abc123def456");
        context.put("username", "john******@****.***");

        logger.logEvent(EventType.AUTHENTICATION_SUCCESS, Severity.INFO, "Login attempt", context);

        // The test verifies that the logger runs without errors when masking is enabled

///

## انگیزه

بیاید با یه مثال ساده شروع کنیم:

{* ../../docs_src/python_types/tutorial001.py *}

وقتی این برنامه رو اجرا کنی، خروجی اینه:

```
John Doe
```

این تابع این کارا رو می‌کنه:

* یه `first_name` و `last_name` می‌گیره.
* حرف اول هر کدوم رو با `title()` بزرگ می‌کنه.

Now use the operation `GET` with the path `/users/me`.

You will get your user's data, like:

```JSON
{
  "username": "johndoe",
  "email": "******@****.***",
  "full_name": "John Doe",
  "disabled": false,
  "hashed_password": "fakehashedsecret"
}
```

<img src="/img/tutorial/security/image06.png">

///

## Motivation { #motivation }

Let's start with a simple example:

{* ../../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()`.

<img src="/img/tutorial/security/image08.png">

Rufen Sie den Endpunkt `/users/me/` auf, Sie erhalten die Response:

```JSON
{
  "username": "johndoe",
  "email": "******@****.***",
  "full_name": "John Doe",
  "disabled": false
}
```

<img src="/img/tutorial/security/image09.png">

///

<img src="/img/tutorial/security/image08.png">

Llama al endpoint `/users/me/`, obtendrás el response como:

```JSON
{
  "username": "johndoe",
  "email": "******@****.***",
  "full_name": "John Doe",
  "disabled": false
}
```

<img src="/img/tutorial/security/image09.png">