}

		scanFolder := func(folder cachedFolder) {
			if contextCanceled(ctx) {
				return
			}
			dst := into
			if !into.Compacted {
				dst = &dataUsageEntry{Compacted: false}
			}
			if err := f.scanFolder(ctx, folder, dst); err != nil {
				return
			}
			if !into.Compacted {
				h := dataUsageHash(folder.name)
				into.addChild(h)
				// We scanned a folder, optionally send update.

	ObjSizes  sizeHistogram
	Compacted bool
}

//msgp:tuple dataUsageEntryV6
type dataUsageEntryV6 struct {
	Children dataUsageHashMap
	// These fields do no include any children.
	Size      int64
	Objects   uint64
	Versions  uint64 // Versions that are not delete markers.
	ObjSizes  sizeHistogram
	Compacted bool
}

type dataUsageEntryV7 struct {

		},
		{
			// Gets compacted...
			path:   "bucket/dir1",
			size:   1302010,
			objs:   5,
			oSizes: sizeHistogram{0: 1, 1: 1, 2: 2, 4: 1},
		},
		{
			// Gets compacted at this level...
			path:   "bucket/dirwithalot/0",
			size:   filesBelowT,
			objs:   filesBelowT,
			oSizes: sizeHistogram{0: filesBelowT},
		},
		{
			// Gets compacted at this level (below obj threshold)...

	scannerMetricScanFolder      // Scan a folder on disk, recursively.
	scannerMetricScanCycle       // Full cycle, cluster global
	scannerMetricScanBucketDrive // Single bucket on one drive
	scannerMetricCompactFolder   // Folder compacted.

	// Must be last:
	scannerMetricLast
)

// log scanner action.
// Use for s > scannerMetricStartTrace
func (p *scannerMetrics) log(s scannerMetric, paths ...string) func(custom map[string]string) {

  fun flush() {
    writer.flush()
  }

  /**
   * Degrades this connection such that new streams can neither be created locally, nor accepted
   * from the remote peer. Existing streams are not impacted. This is intended to permit an endpoint
   * to gracefully stop accepting new requests without harming previously established streams.
   */
  @Throws(IOException::class)
  fun shutdown(statusCode: ErrorCode) {

    `tf.compat.v1.image.extract_glimpse` does not change. The behavior of
    existing C++ kernel `ExtractGlimpse` does not change either, so saved models
    using `tf.raw_ops.ExtractGlimpse` will not be impacted.

## Known Caveats

*   `tf.lite`
    *   Keras-based LSTM models must be converted with an explicit batch size in
        the input layer.

## Bug Fixes and Other Changes