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

そして呼び出すと:

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

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',

    email: str | None = None
    full_name: str | None = None
    disabled: bool | None = None


def fake_decode_token(token):
    return User(
        username=token + "fakedecoded", email="john@example.com", full_name="John Doe"
    )


async def get_current_user(token: str = Depends(oauth2_scheme)):
    user = fake_decode_token(token)
    return user


@app.get("/users/me")

    email: str | None = None
    full_name: str | None = None
    disabled: bool | None = None


def fake_decode_token(token):
    return User(
        username=token + "fakedecoded", email="john@example.com", full_name="John Doe"
    )


async def get_current_user(token: Annotated[str, Depends(oauth2_scheme)]):
    user = fake_decode_token(token)
    return user


@app.get("/users/me")

from docs_src.python_types.tutorial012_py39 import User


def test_user():
    user = User(name="John Doe", age=30)
    assert user.name == "John Doe"

Name,Email,Age,Department
John Doe,john@example.com,30,Engineering
Jane Smith,******@****.***,28,Marketing
Bob Johnson,******@****.***,35,Sales

    }

    public void test_putValue() {
        // Test putValue method
        ExtractData data = new ExtractData();

        data.putValue("title", "Test Title");
        data.putValue("author", "John Doe");

        String[] titleValues = data.getValues("title");
        assertNotNull(titleValues);
        assertEquals(1, titleValues.length);
        assertEquals("Test Title", titleValues[0]);

            "password": "secret",
            "email": "******@****.***",
            "full_name": "John Doe",
        },
    )
    assert response.status_code == 200, response.text
    assert response.json() == {
        "username": "johndoe",
        "email": "******@****.***",
        "full_name": "John Doe",
    }


def test_openapi_schema(client: TestClient):
    response = client.get("/openapi.json")

from pydantic import BaseModel


class User(BaseModel):
    id: int
    name: str = "John Doe"
    signup_ts: Union[datetime, None] = None
    friends: list[int] = []


external_data = {
    "id": "123",
    "signup_ts": "2017-06-01 12:22",
    "friends": [1, "2", b"3"],
}
user = User(**external_data)
print(user)
# > User id=123 name='John Doe' signup_ts=datetime.datetime(2017, 6, 1, 12, 22) friends=[1, 2, 3]
print(user.id)

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()
```

            "user": {"username": "johndoe", "full_name": "John Doe"},
        },
    )
    assert response.status_code == 200
    assert response.json() == {
        "item_id": 5,
        "item": {
            "name": "Foo",
            "price": 50.5,
            "description": "Some Foo",
            "tax": 0.1,
        },
        "user": {"username": "johndoe", "full_name": "John Doe"},
    }