"required": False,
                            "schema": {
                                "title": "Skip",
                                "type": "integer",
                                "default": 0,
                            },
                            "name": "skip",
                            "in": "query",
                        },
                        {

                            "required": False,
                            "schema": {
                                "title": "Skip",
                                "type": "integer",
                                "default": 0,
                            },
                            "name": "skip",
                            "in": "query",
                        },
                        {

                            "required": False,
                            "schema": {
                                "title": "Skip",
                                "type": "integer",
                                "default": 0,
                            },
                            "name": "skip",
                            "in": "query",
                        },
                        {

### Short

It has sensible **defaults** for everything, with optional configurations everywhere. All the parameters can be fine-tuned to do what you need and to define the API you need.

But by default, it all **"just works"**.

### Validation

* Validation for most (or all?) Python **data types**, including:

    ```

👥 ✔️ ❎ 🔢 💲 `None` 🔢 ⏮️ `Query()`, 👥 💪 🔜 ⚒ 🔢 💲 ⏮️ 🔢 `Query(default=None)`, ⚫️ 🍦 🎏 🎯 ⚖ 👈 🔢 💲.

:

```Python
q: Union[str, None] = Query(default=None)
```

...⚒ 🔢 📦, 🎏:

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

& 🐍 3️⃣.1️⃣0️⃣ & 🔛:

```Python
q: str | None = Query(default=None)
```

...⚒ 🔢 📦, 🎏:

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

                        },
                        "tax": {"title": "Tax", "type": "number", "default": 10.5},
                        "tags": {
                            "title": "Tags",
                            "type": "array",
                            "items": {"type": "string"},
                            "default": [],
                        },
                    },
                },

!!! info "정보"
    아래 또한 사용할 수 있습니다:

    * `response_model_exclude_defaults=True`
    * `response_model_exclude_none=True`

    <a href="https://docs.pydantic.dev/latest/concepts/serialization/#modeldict" class="external-link" target="_blank">Pydantic 문서</a>에서 `exclude_defaults` 및 `exclude_none`에 대해 설명한 대로 사용할 수 있습니다.

#### 기본값이 있는 필드를 갖는 값의 데이터

from pydantic.fields import FieldInfo

from .utils import needs_pydanticv1, needs_pydanticv2


@needs_pydanticv2
def test_model_field_default_required():
    # For coverage
    field_info = FieldInfo(annotation=str)
    field = ModelField(name="foo", field_info=field_info)
    assert field.default is Undefined


@needs_pydanticv1
def test_upload_file_dummy_with_info_plain_validator_function():
    # For coverage

                    "type": "object",
                    "properties": {
                        "description": {"title": "Description", "type": "string"},
                        "type": {"title": "Type", "type": "string", "default": "plane"},
                        "size": {"title": "Size", "type": "integer"},
                    },
                },
                "CarItem": {
                    "title": "CarItem",

Comme nous devons remplacer la valeur par défaut `None` dans la fonction par `Query()`, nous pouvons maintenant définir la valeur par défaut avec le paramètre `Query(default=None)`, il sert le même objectif qui est de définir cette valeur par défaut.

Donc :

```Python
q: Union[str, None] = Query(default=None)
```

... rend le paramètre optionnel, et est donc équivalent à :

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