# Model Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```

A one będą mogły zostać później użyte w następujący sposób:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

!!! info

    return user_id


# Модель Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Это можно использовать так:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

!!! info "Информация"

## প্রেরণা

চলুন একটি সাধারণ উদাহরণ দিয়ে শুরু করি:

```Python
{!../../../docs_src/python_types/tutorial001.py!}
```

এই প্রোগ্রামটি কল করলে আউটপুট হয়:

```
John Doe
```

ফাংশনটি নিম্নলিখিত কাজ করে:

* `first_name` এবং `last_name` নেয়।
* প্রতিটির প্রথম অক্ষরকে `title()` ব্যবহার করে বড় হাতের অক্ষরে রূপান্তর করে।

        "/users/me", headers={"Authorization": f"Bearer {access_token}"}
    )
    assert response.status_code == 200, response.text
    assert response.json() == {
        "username": "johndoe",
        "full_name": "John Doe",
        "email": "******@****.***",
        "disabled": False,
    }


def test_incorrect_token():
    response = client.get("/users/me", headers={"Authorization": "Bearer nonexistent"})

    return user_id


# Un modelo de Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Este puede ser usado como:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

!!! info

        "/users/me", headers={"Authorization": f"Bearer {access_token}"}
    )
    assert response.status_code == 200, response.text
    assert response.json() == {
        "username": "johndoe",
        "full_name": "John Doe",
        "email": "******@****.***",
        "disabled": False,
    }


@needs_py39
def test_incorrect_token(client: TestClient):

        "/users/me", headers={"Authorization": f"Bearer {access_token}"}
    )
    assert response.status_code == 200, response.text
    assert response.json() == {
        "username": "johndoe",
        "full_name": "John Doe",
        "email": "******@****.***",
        "disabled": False,
    }


@needs_py310
def test_incorrect_token(client: TestClient):

    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

That can then be used like:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

!!! info

### 🤚 👆 👍 👩‍💻 💽

🔜 ⚙️ 🛠️ `GET` ⏮️ ➡ `/users/me`.

👆 🔜 🤚 👆 👩‍💻 📊, 💖:

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

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

🚥 👆 🖊 🔒 ℹ &amp; ⏏, &amp; ⤴️ 🔄 🎏 🛠️ 🔄, 👆 🔜 🤚 🇺🇸🔍 4️⃣0️⃣1️⃣ ❌:

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

Call the endpoint `/users/me/`, you will get the response as:

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

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