}

  /**
   * Returns a new range set consisting of the union of this range set and {@code other}.
   *
   * <p>This is essentially the same as {@code TreeRangeSet.create(this).addAll(other)} except it
   * returns an {@code ImmutableRangeSet}.
   *
   * @since 21.0
   */
  public ImmutableRangeSet<C> union(RangeSet<C> other) {
    return unionOf(Iterables.concat(asRanges(), other.asRanges()));
  }

  /**

///

{* ../../docs_src/extra_models/tutorial003_py310.py hl[1,14:15,18:20,33] *}

### `Union` in Python 3.10 { #union-in-python-3-10 }

```

////

#### Using `Union` or `Optional` { #using-union-or-optional }

If you are using a Python version below 3.10, here's a tip from my very **subjective** point of view:

* 🚨 Avoid using `Optional[SomeType]`
* Instead ✨ **use `Union[SomeType, None]`** ✨.

```

////

#### Uso de `Union` u `Optional` { #using-union-or-optional }

Si estás usando una versión de Python inferior a 3.10, aquí tienes un consejo desde mi punto de vista muy **subjetivo**:

* 🚨 Evita usar `Optional[SomeType]`
* En su lugar ✨ **usa `Union[SomeType, None]`** ✨.

///

{* ../../docs_src/extra_models/tutorial003_py310.py hl[1,14:15,18:20,33] *}


### `Union` en Python 3.10 { #union-in-python-3-10 }

/// note | Hinweis

Wenn Sie eine <a href="https://docs.pydantic.dev/latest/concepts/types/#unions" class="external-link" target="_blank">`Union`</a> definieren, listen Sie den spezifischeren Typ zuerst auf, gefolgt vom weniger spezifischen Typ. Im Beispiel unten steht `PlaneItem` vor `CarItem` in `Union[PlaneItem, CarItem]`.

///

///

{* ../../docs_src/extra_models/tutorial003_py310.py hl[1,14:15,18:20,33] *}

### `Union` в Python 3.10 { #union-in-python-3-10 }

///

{* ../../docs_src/extra_models/tutorial003_py310.py hl[1,14:15,18:20,33] *}

### `Union` no Python 3.10 { #union-in-python-3-10 }

def _annotation_is_complex(annotation: Union[type[Any], None]) -> bool:
    return (
        lenient_issubclass(annotation, (BaseModel, Mapping, UploadFile))
        or _annotation_is_sequence(annotation)
        or is_dataclass(annotation)
    )


def field_annotation_is_complex(annotation: Union[type[Any], None]) -> bool:
    origin = get_origin(annotation)
    if origin is Union or origin is UnionType:

from fastapi import FastAPI, Path
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: Union[str, None] = None
    price: float
    tax: Union[float, None] = None


@app.put("/items/{item_id}")
async def update_item(
    *,
    item_id: int = Path(title="The ID of the item to get", ge=0, le=1000),
    q: Union[str, None] = None,