mr: mr,
		closer: func() {
			dec.Reset(nil)
			s2DecPool.Put(dec)
			readMsgpReaderPoolPut(mr)
		},
		creator: func() error {
			v, err := mr.ReadByte()
			if err != nil {
				return err
			}
			switch v {
			case 1, 2:
			default:
				return fmt.Errorf("metacacheReader: Unknown version: %d", v)
			}
			return nil
		},
	}
}

func (r *metacacheReader) checkInit() {

	}
	defer xhttp.DrainBody(respBody)

	pr, pw := io.Pipe()
	go func() {
		pw.CloseWithError(waitForHTTPStream(respBody, pw))
	}()
	mr := msgp.NewReader(pr)
	defer readMsgpReaderPoolPut(mr)
	for {
		var file ReadMultipleResp
		if err := file.DecodeMsg(mr); err != nil {
			if errors.Is(err, io.EOF) {
				err = nil
			}
			pr.CloseWithError(err)
			return toStorageErr(err)
		}
		select {

		if r := recover(); r != nil {
			debug.PrintStack()
			rw.CloseWithError(fmt.Errorf("panic: %v", r))
		}
	}()

	var req ReadMultipleReq
	mr := msgpNewReader(r.Body)
	defer readMsgpReaderPoolPut(mr)
	err := req.DecodeMsg(mr)
	if err != nil {
		rw.CloseWithError(err)
		return
	}

	mw := msgp.NewWriter(rw)
	responses := make(chan ReadMultipleResp, len(req.Files))

feature to optimize versioning behavior for some specific applications. MinIO experts will evaluate and guide on the benefits for your application, please reach out to us on <https://subnet.min.io>.**

Spark/Hadoop workloads which use Hadoop MR Committer v1/v2 algorithm upload objects to a temporary prefix in a bucket. These objects are 'renamed' to a different prefix on Job commit. Object storage admins are forced to configure separate ILM policies to expire these objects and their versions...

You might notice that to create an instance of a Python class, you use that same syntax.

For example:

```Python
class Cat:
    def __init__(self, name: str):
        self.name = name


fluffy = Cat(name="Mr Fluffy")
```

In this case, `fluffy` is an instance of the class `Cat`.

And to create `fluffy`, you are "calling" `Cat`.

So, a Python class is also a **callable**.

Вы можете заметить, что для создания экземпляра класса в Python используется тот же синтаксис.

Например:

```Python
class Cat:
    def __init__(self, name: str):
        self.name = name


fluffy = Cat(name="Mr Fluffy")
```

В данном случае `fluffy` является экземпляром класса `Cat`.

А чтобы создать `fluffy`, вы "вызываете" `Cat`.

Таким образом, класс в Python также является **вызываемым**.

Zum Beispiel:

```Python
class Cat:
    def __init__(self, name: str):
        self.name = name


fluffy = Cat(name="Mr Fluffy")
```

In diesem Fall ist `fluffy` eine Instanz der Klasse `Cat`.

Und um `fluffy` zu erzeugen, rufen Sie `Cat` auf.

Eine Python-Klasse ist also auch ein **Callable**.

        function ->> execute: execute function code
        execute ->> code: return the result
    end

    rect rgba(0, 255, 0, .1)
        code ->> function: say_hi(name="Rick", salutation="Mr.")
        function ->> execute: execute function code
        execute ->> code: return the result
    end

    rect rgba(0, 255, 255, .1)
        code ->> function: say_hi(name="Rick")

        function ->> execute: execute function code
        execute ->> code: return the result
    end

    rect rgba(0, 255, 0, .1)
        code ->> function: say_hi(name="Rick", salutation="Mr.")
        function ->> execute: execute function code
        execute ->> code: return the result
    end

    rect rgba(0, 255, 255, .1)
        code ->> function: say_hi(name="Rick")

        code ->> function: say_hi(name="Rick")
        function ->> execute: 执行函数代码
        execute ->> code: 返回结果
    end

    rect rgba(0, 255, 0, .1)
        code ->> function: say_hi(name="Rick", salutation="Mr.")
        function ->> execute: 执行函数代码
        execute ->> code: 返回结果
    end

    rect rgba(0, 255, 255, .1)
        code ->> function: say_hi(name="Rick")
        function ->> code: 返回存储的结果
    end