And Python has a special data type for sets of unique items, the `set`.

Then we can declare `tags` as a set of strings:

{* ../../docs_src/body_nested_models/tutorial003_py310.py hl[12] *}

With this, even if you receive a request with duplicate data, it will be converted to a set of unique items.

And whenever you output that data, even if the source had duplicates, it will be output as a set of unique items.

) -> dict[Callable[[Any], Any], tuple[Any, ...]]:
    encoders_by_class_tuples: dict[Callable[[Any], Any], tuple[Any, ...]] = defaultdict(
        tuple
    )
    for type_, encoder in type_encoder_map.items():
        encoders_by_class_tuples[encoder] += (type_,)
    return encoders_by_class_tuples


encoders_by_class_tuples = generate_encoders_by_class_tuples(ENCODERS_BY_TYPE)


def jsonable_encoder(

    openapi = app.openapi()
    body_model_name = get_body_model_name(openapi, path)

    assert app.openapi()["components"]["schemas"][body_model_name] == {
        "properties": {
            "p": {
                "items": {"type": "string"},
                "title": "P",
                "type": "array",
            },
        },
        "required": ["p"],
        "title": body_model_name,
        "type": "object",
    }

        path: Annotated[
            str,
            Doc(
                """
                The URL path to be used for this *path operation*.

                For example, in `http://example.com/items`, the path is `/items`.
                """
            ),
        ],
        *,
        response_model: Annotated[
            Any,
            Doc(
                """

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,
    item: Union[Item, None] = None,
):

        raise HTTPException(status_code=400, detail="X-Key header invalid")
    return x_key


app = FastAPI(dependencies=[Depends(verify_token), Depends(verify_key)])


@app.get("/items/")
async def read_items():
    return [{"item": "Portal Gun"}, {"item": "Plumbus"}]


@app.get("/users/")
async def read_users():

from fastapi import FastAPI, HTTPException, Request
from pydantic.v1 import BaseModel, ValidationError

app = FastAPI()


class Item(BaseModel):
    name: str
    tags: list[str]


@app.post(
    "/items/",
    openapi_extra={
        "requestBody": {
            "content": {"application/x-yaml": {"schema": Item.schema()}},
            "required": True,
        },
    },
)
async def create_item(request: Request):

import yaml
from fastapi import FastAPI, HTTPException, Request
from pydantic import BaseModel, ValidationError

app = FastAPI()


class Item(BaseModel):
    name: str
    tags: list[str]


@app.post(
    "/items/",
    openapi_extra={
        "requestBody": {
            "content": {"application/x-yaml": {"schema": Item.model_json_schema()}},
            "required": True,
        },
    },
)

### Возвращаемый ответ { #the-resulting-response }

Если клиент запросит `http://example.com/items/foo` (`item_id` `"foo"`), то он получит статус-код 200 и ответ в формате JSON:

```JSON
{
  "item": "The Foo Wrestlers"
}
```

Но если клиент запросит `http://example.com/items/bar` (несуществующий `item_id` `"bar"`), то он получит статус-код 404 (ошибка "не найдено") и JSON-ответ в виде:

```JSON
{

    # Update the viewport manually
    context = browser.new_context(viewport={"width": 960, "height": 1080})
    page = context.new_page()
    page.goto("http://localhost:8000/docs")
    page.get_by_text("POST/items/Create Item").click()
    page.get_by_role("tab", name="Schema").first.click()
    # Manually add the screenshot
    page.screenshot(
        path="docs/en/docs/img/tutorial/separate-openapi-schemas/image01.png"
    )