return custom_route_handler


app = FastAPI()
app.router.route_class = GzipRoute


@app.post("/sum")
async def sum_numbers(numbers: Annotated[list[int], Body()]):

그리고 에디터는 계속 `str`라는 사실을 알고 도와줍니다.

#### `Tuple`과 `Set`

`tuple`과 `set`도 동일하게 선언할 수 있습니다.

{* ../../docs_src/python_types/tutorial007.py hl[1,4] *}


이 뜻은 아래와 같습니다:

* 변수 `items_t`는, 차례대로 `int`, `int`, `str`인 `tuple`이다.
* 변수 `items_s`는, 각 아이템이 `bytes`인 `set`이다.

#### `Dict`

`dict`를 선언하려면 컴마로 구분된 2개의 파라미터가 필요합니다.

첫 번째 매개변수는 `dict`의 키(key)이고,

두 번째 매개변수는  `dict`의 값(value)입니다.

    }

    public void setReplacement(String replacement) {
        this.replacement = replacement;
    }

    public void resolveTypes(Transformer<String, String> transformer) {
        for (int i = 0; i < annotationNames.size(); i++) {
            annotationNames.set(i, transformer.transform(annotationNames.get(i)));
        }
    }

    @Override
    public boolean equals(Object o) {
        if (this == o) {

			}
		}
		sortDisks(ss.Disks)
		status.Sets = append(status.Sets, ss)
	}
	sort.Slice(status.Sets, func(i, j int) bool {
		return status.Sets[i].ID < status.Sets[j].ID
	})

	backendInfo := o.BackendInfo()
	status.SCParity = make(map[string]int)
	status.SCParity[storageclass.STANDARD] = backendInfo.StandardSCParity
	status.SCParity[storageclass.RRS] = backendInfo.RRSCParity

// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package disk

// getFSType returns the filesystem type of the underlying mounted filesystem
func getFSType(fstype []int8) string {
	b := make([]byte, len(fstype))
	for i, v := range fstype {
		b[i] = byte(v)
	}
	return string(b)

	fmt.Println("Split byte slice into fields:")
	for word := range bytes.FieldsSeq(text) {
		fmt.Printf("%q\n", word)
	}

	textWithSpaces := []byte("  lots   of   spaces  ")
	fmt.Println("\nSplit byte slice with multiple spaces:")
	for word := range bytes.FieldsSeq(textWithSpaces) {
		fmt.Printf("%q\n", word)
	}

	// Output:
	// Split byte slice into fields:
	// "The"
	// "quick"
	// "brown"

CPUs, general purpose GPUs, and custom-designed ASICs known as Tensor Processing Units (TPUs). This architecture gives flexibility to the application developer, whereas in previous “parameter server” designs the management of shared state is built into the system, TensorFlow enables developers to experiment with novel optimizations and training algorithms. TensorFlow supports a variety of applications, with a focus on training and inference on deep neural networks. Several Google services use TensorFlow...

В обоих случаях она будет иметь:

* Необязательный параметр запроса `q`, представляющий собой `str`.
* Параметр запроса `skip`, представляющий собой `int`, по умолчанию `0`.
* Параметр запроса `limit`, представляющий собой `int`, по умолчанию `100`.

В обоих случаях данные будут конвертированы, валидированы, задокументированы в схеме OpenAPI и т.д.

## Как это использовать { #use-it }

		for _, user := range usersMap {
			users = append(users, user)
		}
		sort.Slice(users, func(i, j int) bool {
			return users[i].MinioAccessKey < users[j].MinioAccessKey
		})
		resp = append(resp, madmin.ListAccessKeysOpenIDResp{
			ConfigName: cfgName,
			Users:      users,
		})
	}
	sort.Slice(resp, func(i, j int) bool {
		return resp[i].ConfigName < resp[j].ConfigName
	})

	data, err := json.Marshal(resp)

			var zb0002 uint32
			zb0002, err = dc.ReadArrayHeader()
			if err != nil {
				err = msgp.WrapError(err, "Results")
				return
			}
			if cap(z.Results) >= int(zb0002) {
				z.Results = (z.Results)[:zb0002]
			} else {
				z.Results = make([]int, zb0002)
			}
			for za0001 := range z.Results {
				z.Results[za0001], err = dc.ReadInt()
				if err != nil {
					err = msgp.WrapError(err, "Results", za0001)