final String jwtClaim = "{\"sub\":\"user123\",\"name\":\"John Doe\",\"email\":\"john@example.com\"}";
        final Map<String, Object> attributes = new HashMap<>();

        authenticator.parseJwtClaim(jwtClaim, attributes);

        assertEquals("user123", attributes.get("sub"));
        assertEquals("John Doe", attributes.get("name"));
        assertEquals("john@example.com", attributes.get("email"));
    }

    @Test

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

and then we call:

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

    }

    @Test
    public void test_user_givenName() {
        final User user = new User();
        assertNull(user.getGivenName());

        user.setGivenName("John");
        assertEquals("John", user.getGivenName());
    }

    @Test
    public void test_user_surname() {
        final User user = new User();
        assertNull(user.getSurname());

        user.setSurname("Doe");

def get_full_name(first_name: str, last_name: str):
    full_name = first_name.title() + " " + last_name.title()
    return full_name

        model.setType("TYPE");
        DefaultToolchain toolchain = newDefaultToolchain(model);

        assertFalse(toolchain.matchesRequirements(Collections.singletonMap("name", "John Doe")));
        verify(logger).debug("Toolchain {} is missing required property: {}", toolchain, "name");
    }

    @Test
    void testNonMatchingRequirementProperty() {

def get_full_name(first_name, last_name):
    full_name = first_name.title() + " " + last_name.title()
    return full_name

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

接著呼叫：

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

此時變數 `user_dict` 會是一個承載資料的 `dict`（也就是 `dict`，而非 Pydantic 模型物件）。

若再呼叫：

```Python
print(user_dict)
```

我們會得到一個 Python `dict`：

```Python
{
    'username': 'john',
    'password': 'secret',

from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm
from pydantic import BaseModel

fake_users_db = {
    "johndoe": {
        "username": "johndoe",
        "full_name": "John Doe",
        "email": "******@****.***",
        "hashed_password": "fakehashedsecret",
        "disabled": False,
    },
    "alice": {
        "username": "alice",
        "full_name": "Alice Wonderson",

        final Map<String, Object> metaDataMap = responseData.getMetaDataMap();
        metaDataMap.put("author", "John Doe");
        metaDataMap.put("keywords", new String[] { "java", "search" });

        assertNotNull(responseData.getMetaDataMap());
        assertEquals(2, responseData.getMetaDataMap().size());
        assertEquals("John Doe", responseData.getMetaDataMap().get("author"));
    }

    @Test

from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm
from pydantic import BaseModel

fake_users_db = {
    "johndoe": {
        "username": "johndoe",
        "full_name": "John Doe",
        "email": "******@****.***",
        "hashed_password": "fakehashedsecret",
        "disabled": False,
    },
    "alice": {
        "username": "alice",
        "full_name": "Alice Wonderson",