"/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):

        "/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):

/// note

🚥 👆 🐍 🕴, & 👆 ⏪ 💭 🌐 🔃 🆎 🔑, 🚶 ⏭ 📃.

///

## 🎯

➡️ ▶️ ⏮️ 🙅 🖼:

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

🤙 👉 📋 🔢:

```
John Doe
```

🔢 🔨 📄:

* ✊ `first_name` & `last_name`.
* 🗜 🥇 🔤 🔠 1️⃣ ↖ 💼 ⏮️ `title()`.
* <abbr title="Puts them together, as one. With the contents of one after the other.">🔢</abbr> 👫 ⏮️ 🚀 🖕.

# Un modèle Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```
Qui peuvent ensuite être utilisés comme cela:

```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

///

## Motivation

Let's start with a simple example:

{* ../../docs_src/python_types/tutorial001.py *}

Calling this program outputs:

```
John Doe
```

The function does the following:

* Takes a `first_name` and `last_name`.
* Converts the first letter of each one to upper case with `title()`.

///

## 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।

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">

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

که سپس میتوان به این شکل از آن استفاده کرد:

```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

Verwenden Sie nun die Operation `GET` mit dem Pfad `/users/me`.

Sie erhalten Ihre Benutzerdaten:

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

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

    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"