client = TestClient(app)


def test_security_http_basic():
    response = client.get("/users/me", auth=("john", "secret"))
    assert response.status_code == 200, response.text
    assert response.json() == {"username": "john", "password": "secret"}


def test_security_http_basic_no_credentials():
    response = client.get("/users/me")

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

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

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

    }

    @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");

client = TestClient(app)


def test_security_http_basic():
    response = client.get("/users/me", auth=("john", "secret"))
    assert response.status_code == 200, response.text
    assert response.json() == {"username": "john", "password": "secret"}


def test_security_http_basic_no_credentials():
    response = client.get("/users/me")

        assertEquals("", LdapUtil.escapeValue(""));
    }

    @Test
    public void test_escapeValue_noSpecialChars() {
        assertEquals("admin", LdapUtil.escapeValue("admin"));
        assertEquals("john.doe", LdapUtil.escapeValue("john.doe"));
        assertEquals("user123", LdapUtil.escapeValue("user123"));
        assertEquals("Test User", LdapUtil.escapeValue("Test User"));
    }

    @Test

        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

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

そして呼び出すと:

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

これで変数`user_dict`のデータを持つ`dict`ができました。（これはPydanticモデルのオブジェクトの代わりに`dict`です）。

そして呼び出すと:

```Python
print(user_dict)
```

以下のようなPythonの`dict`を得ることができます:

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

{ "name": "John", "age":28, "hobby": { "name": "chess", "type": "boardgame" }}...

        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