foo...

foo...

foo...

foo...

foo...

{* ../../docs_src/query_params_str_validations/tutorial011.py hl[9] *}

然后，输入如下网址：

```
http://localhost:8000/items/?q=foo&q=bar
```

你会在*路径操作函数*的*函数参数* `q` 中以一个 Python `list` 的形式接收到*查询参数* `q` 的多个值（`foo` 和 `bar`）。

因此，该 URL 的响应将会是：

```JSON
{
  "q": [
    "foo",
    "bar"
  ]
}
```

/// tip

要声明类型为 `list` 的查询参数，如上例所示，你需要显式地使用 `Query`，否则该参数将被解释为请求体。

///

# Setup tfrun, a helper function for executing steps that can either be run
# locally or run under Docker. setup_docker.sh, below, redefines it as "docker
# exec".
# Important: "tfrun foo | bar" is "( tfrun foo ) | bar", not "tfrun (foo | bar)".
# Therefore, "tfrun" commands cannot include pipes -- which is
# probably for the better. If a pipe is necessary for something, it is probably

        }

    }

    /**
     * @param <T>
     */
    public static class Foo<T> {

        /** */
        public List<T> list;

    }

    /** */
    public static class Bar extends Foo<String> {
    }

from fastapi import FastAPI

app = FastAPI()

items = {}


@app.on_event("startup")
async def startup_event():
    items["foo"] = {"name": "Fighters"}
    items["bar"] = {"name": "Tenders"}


@app.get("/items/{item_id}")
async def read_items(item_id: str):

		{getListObjectsV1URL(s.endPoint, bucketName, "", "1000", "url"), []string{"<Key>foo+bar+1</Key>", "<Key>foo+bar+2</Key>", "<Key>foo+%01+bar</Key>"}},
		{
			getListObjectsV2URL(s.endPoint, bucketName, "", "1000", "", "", ""),
			[]string{
				"<Key>foo bar 1</Key>",
				"<Key>foo bar 2</Key>",
				"<Key>foo &#x1; bar</Key>",