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()
```

`user_in`은 Pydantic 모델 클래스인 `UserIn`입니다.

Pydantic 모델은 모델 데이터를 포함한 `dict`를 반환하는 `.dict()` 메서드를 제공합니다.

따라서, 다음과 같이 Pydantic 객체 `user_in`을 생성할 수 있습니다:

```Python
user_in = UserIn(username="john", password="secret", email="john******@****.***")
```

그 다음, 다음과 같이 호출합니다:

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

이제 변수 `user_dict`에 데이터가 포함된 `dict`를 가지게 됩니다(이는 Pydantic 모델 객체가 아닌 `dict`입니다).

그리고 다음과 같이 호출하면:

        value = "\"John Doe\",\"Software Engineer\",\"john******@****.***\",\"Loves \"\"coding\"\" and coffee\"";
        result = KuromojiCSVUtil.parse(value);
        assertEquals(4, result.length);
        assertEquals("John Doe", result[0]);
        assertEquals("Software Engineer", result[1]);
        assertEquals("john******@****.***", result[2]);

	}
	return
}

// Or add OR conditions
//
// Or is used to chain together queries with an OR.
//
//	// Find the first user with name equal to jinzhu or john
//	db.Where("name = ?", "jinzhu").Or("name = ?", "john").First(&user)
func (db *DB) Or(query interface{}, args ...interface{}) (tx *DB) {
	tx = db.getInstance()
	if conds := tx.Statement.BuildCondition(query, args...); len(conds) > 0 {

        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">