getEndpoints func() []Endpoint

	// getEndpoints returns list of endpoint strings belonging this set.
	// some may be local and some remote.
	getEndpointStrings func() []string

	// Locker mutex map.
	nsMutex *nsLockMap
}

// NewNSLock - initialize a new namespace RWLocker instance.
func (er erasureObjects) NewNSLock(bucket string, objects ...string) RWLocker {

	actionsLatency [lifecycle.ActionCount]lockedLastMinuteLatency

	// currentPaths contains (string,*currentPathTracker) for each disk processing.
	// Alignment not required.
	currentPaths sync.Map

	cycleInfoMu sync.Mutex
	cycleInfo   *currentScannerCycle
}

var globalScannerMetrics scannerMetrics

const (
	// START Realtime metrics, that only to records
	// last minute latencies and total operation count.

## Wie es aussieht

Lassen Sie uns zunächst einfach den Code verwenden und sehen, wie er funktioniert, und dann kommen wir zurück, um zu verstehen, was passiert.

## `main.py` erstellen

Kopieren Sie das Beispiel in eine Datei `main.py`:

{* ../../docs_src/security/tutorial001_an_py39.py *}

## Ausführen

/// info

// Unlock, RLock and RUnlock.
type nsLockMap struct {
	// Indicates if namespace is part of a distributed setup.
	isDistErasure bool
	lockMap       map[string]*nsLock
	lockMapMutex  sync.Mutex
}

// Lock the namespace resource.
func (n *nsLockMap) lock(ctx context.Context, volume string, path string, lockSource, opsID string, readLock bool, timeout time.Duration) (locked bool) {
	resource := pathJoin(volume, path)

				select {
				case <-ctxDone:
				case results <- *entry:
				}
			}
		},
	})
}

//msgp:ignore metaCacheRPC
type metaCacheRPC struct {
	o      listPathOptions
	mu     sync.Mutex
	meta   *metacache
	rpc    *peerRESTClient
	cancel context.CancelFunc
}

func (m *metaCacheRPC) setErr(err string) {
	m.mu.Lock()
	defer m.mu.Unlock()
	meta := *m.meta

	return err
}

type writerAt struct {
	w      *io.PipeWriter
	r      *io.PipeReader
	wg     *sync.WaitGroup
	buffer map[int64][]byte
	err    error

	nextOffset int64
	m          sync.Mutex
}

func (w *writerAt) WriteAt(b []byte, offset int64) (n int, err error) {
	w.m.Lock()
	defer w.m.Unlock()

	if w.nextOffset == offset {
		n, err = w.w.Write(b)
		w.nextOffset += int64(n)

* **Bilgisayar görüsü**: bir görüntü milyonlarca pikselden oluşur, her pikselin 3 değeri / rengi vardır, bu pikseller üzerinde aynı anda bir şeyler hesaplamayı gerektiren işleme.
* **Makine Öğrenimi**: Çok sayıda "matris" ve "vektör" çarpımı gerektirir. Sayıları olan ve hepsini aynı anda çarpan büyük bir elektronik tablo düşünün.

			Secure:    globalIsTLS,
			Transport: globalRemoteTargetTransport,
			Region:    region,
		})
		if err != nil {
			return res, err
		}
	}

	var mu sync.Mutex
	var uploadTimes madmin.TimeDurations
	wg.Add(opts.concurrency)
	for i := 0; i < opts.concurrency; i++ {
		go func(i int) {
			defer wg.Done()
			for {
				t := time.Now()

	descriptorMap map[MetricName]MetricDescriptor

	// For bucket metrics, the list of buckets is stored here. It is used in the
	// Collect() call. This is protected by the `bucketsLock`.
	bucketsLock sync.Mutex
	buckets     []string
}

// NewMetricsGroup creates a new MetricsGroup. To create a metrics group for
// metrics with a `bucket` dimension (label), use `NewBucketMetricsGroup`.
//

* **Machine Learning**: it normally requires lots of "matrix" and "vector" multiplications. Think of a huge spreadsheet with numbers and multiplying all of them together at the same time.