def test_raises_pydantic_v1_model_in_endpoint_param() -> None:
    class ParamModelV1(BaseModel):
        name: str

    app = FastAPI()

    with pytest.raises(PydanticV1NotSupportedError):

        @app.post("/param")
        def endpoint(data: ParamModelV1):  # pragma: no cover
            return data


def test_raises_pydantic_v1_model_in_return_type() -> None:
    class ReturnModelV1(BaseModel):
        name: str

                    return elements[index];
                  }
                };
              }
            })
        .named("AbstractList")
        .withFeatures(
            CollectionFeature.NONE, CollectionFeature.ALLOWS_NULL_VALUES, CollectionSize.ANY)
        .suppressing(suppressForAbstractList())
        .createTestSuite();
  }

  public Test testsForAbstractSequentialList() {

                    return elements[index];
                  }
                };
              }
            })
        .named("AbstractList")
        .withFeatures(
            CollectionFeature.NONE, CollectionFeature.ALLOWS_NULL_VALUES, CollectionSize.ANY)
        .suppressing(suppressForAbstractList())
        .createTestSuite();
  }

  public Test testsForAbstractSequentialList() {

items = {"foo": {"name": "Fighters", "size": 6}, "bar": {"name": "Tenders", "size": 3}}


@app.put("/items/{item_id}")
async def upsert_item(
    item_id: str,
    name: str | None = Body(default=None),
    size: int | None = Body(default=None),
):
    if item_id in items:
        item = items[item_id]
        item["name"] = name
        item["size"] = size
        return item
    else:

Teníamos esta anotación de tipo:

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

Lo que haremos es envolver eso con `Annotated`, para que se convierta en:

```Python
q: Annotated[str | None] = None
```

Ambas versiones significan lo mismo, `q` es un parámetro que puede ser un `str` o `None`, y por defecto, es `None`.

Ahora vamos a lo divertido. 🎉

items = {"foo": {"name": "Fighters", "size": 6}, "bar": {"name": "Tenders", "size": 3}}


@app.put("/items/{item_id}")
async def upsert_item(
    item_id: str,
    name: Annotated[str | None, Body()] = None,
    size: Annotated[int | None, Body()] = None,
):
    if item_id in items:
        item = items[item_id]
        item["name"] = name
        item["size"] = size
        return item
    else:

class User(BaseModel):
    username: str


def get_current_user(oauth_header: str | None = Security(oid)):
    if oauth_header is None:
        return None
    user = User(username=oauth_header)
    return user


@app.get("/users/me")
def read_current_user(current_user: User | None = Depends(get_current_user)):
    if current_user is None:
        return {"msg": "Create an account first"}
    return current_user

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None
    tags: set[str] = set()


@app.post("/items/", summary="Create an item")
async def create_item(item: Item) -> Item:
    """
    Create an item with all the information:

    - **name**: each item must have a name

  }

  public void testToArray() {
    // need explicit type parameter to avoid javac warning!?
    List<Character> none = Arrays.<Character>asList();
    assertThat(Chars.toArray(none)).isEqualTo(EMPTY);

    List<Character> one = Arrays.asList((char) 1);
    assertThat(Chars.toArray(one)).isEqualTo(ARRAY1);

    char[] array = {(char) 0, (char) 1, 'A'};

    @Test
    public void test_isUseTimeZoneHandling() {
        // Verify that time zone handling is disabled
        assertFalse(provider.isUseTimeZoneHandling());
    }

    // Test isAcceptCookieTimeZone() method
    @Test
    public void test_isAcceptCookieTimeZone() {
        // Verify that cookie time zone is not accepted
        assertFalse(provider.isAcceptCookieTimeZone());
    }