因此，如果使用如下方式创建 Pydantic 对象 `user_in`：

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

就能以如下方式调用：

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

现在，变量 `user_dict`中的就是包含数据的**字典**（变量 `user_dict` 是字典，不是 Pydantic 模型对象）。

以如下方式调用：

```Python
print(user_dict)
```

输出的就是 Python **字典**：

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

      - changes
    runs-on: ubuntu-latest
    outputs:
      langs: ${{ steps.show-langs.outputs.langs }}
    steps:
      - uses: actions/checkout@v6
      - name: Set up Python
        uses: actions/setup-python@v6
        with:
          python-version: "3.11"
      - name: Setup uv
        uses: astral-sh/setup-uv@v7
        with:
          version: "0.4.15"
          enable-cache: true
          cache-dependency-glob: |

# module.

# pylint: disable=g-bad-import-order
from tensorflow.python import pywrap_tensorflow  # pylint: disable=unused-import

from tensorflow.python.platform import flags  # pylint: disable=g-import-not-at-top
from tensorflow.python.platform import app  # pylint: disable=g-import-not-at-top
app.flags = flags

# These symbols appear because we import the python package which
# in turn imports from tensorflow.core and tensorflow.python. They

from fastapi import FastAPI, Form
from fastapi.testclient import TestClient

app = FastAPI()


@app.post("/form/python-list")
def post_form_param_list(items: list = Form()):
    return items


@app.post("/form/python-set")
def post_form_param_set(items: set = Form()):
    return items


@app.post("/form/python-tuple")
def post_form_param_tuple(items: tuple = Form()):
    return items


client = TestClient(app)

Именно поэтому на официальном сайте сказано:

> Requests — один из самых загружаемых Python-пакетов всех времён

Пользоваться им очень просто. Например, чтобы сделать запрос `GET`, вы бы написали:

```Python
response = requests.get("http://example.com/some/url")
```

Соответствующая в FastAPI API-операция пути могла бы выглядеть так:

```Python hl_lines="1"
@app.get("/some/url")
def read_url():

Ви робите це за допомогою стандартних сучасних типів Python.

Вам не потрібно вивчати новий синтаксис, методи чи класи конкретної бібліотеки тощо.

Використовуючи стандартний **Python**.

Наприклад, для `int`:

```Python
item_id: int
```

або для більш складної моделі `Item`:

```Python
item: Item
```

...і з цим єдиним оголошенням Ви отримуєте:

Now it's the time to use it with FastAPI. 🚀

We had this type annotation:

//// tab | Python 3.10+

```Python
q: str | None = None
```

////

//// tab | Python 3.9+

```Python
q: Union[str, None] = None
```

////

The key factor is that a dependency should be a "callable".

A "**callable**" in Python is anything that Python can "call" like a function.

So, if you have an object `something` (that might _not_ be a function) and you can "call" it (execute it) like:

```Python
something()
```

or

```Python
something(some_argument, some_keyword_argument="foo")
```

then it is a "callable".

O fator principal para uma dependência é que ela deve ser "chamável"

Um objeto "chamável" em Python é qualquer coisa que o Python possa "chamar" como uma função

Então se você tiver um objeto `alguma_coisa` (que pode *não* ser uma função) que você possa "chamar" (executá-lo) dessa maneira:

```Python
something()
```

ou

```Python
something(some_argument, some_keyword_argument="foo")
```

Então esse objeto é um "chamável".

          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"
      - uses: actions/checkout@v6
      - name: Set up Python
        uses: actions/setup-python@v6
        with:
          python-version: "3.10"
          # Issue ref: https://github.com/actions/setup-python/issues/436
          # cache: "pip"
          # cache-dependency-path: pyproject.toml
      - name: Install build dependencies