{200 * 1024 * 1024 * 1024, 10000},
		}

		for _, dp := range dataPoints {
			imageSize := int64(dp[0])
			duration := dp[1]
			t.Log(imageSize, duration)
			t.Log(GetImageSizeBucket(uint64(imageSize)))
			ImagePullDuration.WithLabelValues(GetImageSizeBucket(uint64(imageSize))).Observe(duration)
		}

		wants, err := os.Open("testdata/image_pull_duration_metric")
		defer func() {
			if err := wants.Close(); err != nil {

		container.Image, imagePullResult.pullDuration.Truncate(time.Millisecond), imagePullDuration, imagePullResult.imageSize), klog.Info)
	metrics.ImagePullDuration.WithLabelValues(metrics.GetImageSizeBucket(imagePullResult.imageSize)).Observe(imagePullDuration.Seconds())
	m.backOff.GC()
	return imagePullResult.imageRef, "", nil
}

func evalCRIPullErr(container *v1.Container, err error) (errMsg string, errRes error) {

	return time.Since(start).Seconds()
}

// SetNodeName sets the NodeName Gauge to 1.
func SetNodeName(name types.NodeName) {
	NodeName.WithLabelValues(string(name)).Set(1)
}

func GetImageSizeBucket(sizeInBytes uint64) string {
	if sizeInBytes == 0 {
		return "N/A"
	}

	for i := len(imageSizeBuckets) - 1; i >= 0; i-- {
		if sizeInBytes > imageSizeBuckets[i].lowerBoundInBytes {