from fastapi import FastAPI, Query

app = FastAPI()


@app.get("/items/")
async def read_items(q: list[str] | None = Query(default=None)):
    query_items = {"q": q}

from fastapi import FastAPI, Header

app = FastAPI()


@app.get("/items/")
async def read_items(x_token: list[str] | None = Header(default=None)):

  }

  /**
   * Returns a splitter that behaves equivalently to {@code this} splitter but stops splitting after
   * it reaches the limit. The limit defines the maximum number of items returned by the iterator,
   * or the maximum size of the list returned by {@link #splitToList}.
   *
   * <p>For example, {@code Splitter.on(',').limit(3).split("a,b,c,d")} returns an iterable

</div>

### 문서에서의 입력과 출력 모델 { #model-for-input-and-output-in-docs }

또 OpenAPI에서 사용 가능한 모든 Schemas(JSON Schemas)를 확인해 보면, `Item-Input` 하나와 `Item-Output` 하나, 이렇게 두 개가 있는 것을 볼 수 있습니다.

`Item-Input`에서는 `description`이 **필수가 아니며**, 빨간 별표가 없습니다.

하지만 `Item-Output`에서는 `description`이 **필수이며**, 빨간 별표가 있습니다.

<div class="screenshot">
<img src="/img/tutorial/separate-openapi_schemas/image04.png">
</div>

from typing import Annotated

from fastapi import FastAPI, Header

app = FastAPI()


@app.get("/items/")
async def read_items(
    strange_header: Annotated[str | None, Header(convert_underscores=False)] = None,
):

        }
        if (elements.length > 1) {
          /*
           * When a test requests a multiset with duplicates, our plan of
           * "add an extra item 0 to A and an extra item 1 to B" really means
           * "add an extra item 0 to A and B," which isn't what we want.
           */
          if (!Objects.equals(elements[0], elements[1])) {
            multiset2.add(elements[1], 2);
          }
        }

def process_items(prices: dict[str, float]):
    for item_name, item_price in prices.items():
        print(item_name)

                        <ol class="breadcrumb float-sm-right">
                            <li class="breadcrumb-item active"><la:link href="/admin/elevateword">
                                <la:message key="labels.elevate_word_link_list"/>
                            </la:link></li>
                            <li class="breadcrumb-item active"><a href="#"><la:message
                                    key="labels.elevate_word_link_upload"/></a></li>

import `EventSourceResponse` de `fastapi.sse`:

{* ../../docs_src/server_sent_events/tutorial001_py310.py ln[1:25] hl[4,22] *}

Cada ítem producido con `yield` se codifica como JSON y se envía en el campo `data:` de un evento SSE.

Si declaras el tipo de retorno como `AsyncIterable[Item]`, FastAPI lo usará para **validar**, **documentar** y **serializar** los datos usando Pydantic.

Import `EventSourceResponse` from `fastapi.sse`:

{* ../../docs_src/server_sent_events/tutorial001_py310.py ln[1:25] hl[4,22] *}

Each yielded item is encoded as JSON and sent in the `data:` field of an SSE event.

If you declare the return type as `AsyncIterable[Item]`, FastAPI will use it to **validate**, **document**, and **serialize** the data using Pydantic.