//        DfsReferral[] dr = trans.getDfsReferrals(auth, "\\" + domainName, 1);
//
//        handle = DcerpcHandle.getHandle("ncacn_np:" +
//                    UniAddress.getByName(dr[0].server).getHostAddress() +
//                    "[\\PIPE\\netdfs]", auth);
//        try {
//            rpc = new MsrpcDfsRootEnum(domainName);
//            handle.sendrecv(rpc);
//            if (rpc.retval != 0)

		if lastByte := rp.b; len(p) > 0 && p[0] == lastByte {
			if bytes.Count(p, []byte{lastByte}) == len(p) {
				rp.n += int64(len(p))
				return len(p), nil
			}
		}
	}

	for _, b := range p {
		if rp == nil || rp.b != b {
			r.buf = append(r.buf, repeatedByte{r.Size(), b, 1})
			rp = &r.buf[len(r.buf)-1]
		} else {
			rp.n++
		}
	}
	return len(p), nil
}

	}

	bucketReplStats := globalReplicationStats.Load().getAllLatest(dataUsageInfo.BucketsUsage)
	for _, bucket := range buckets {
		labels := []string{bucketL, bucket}
		if s, ok := bucketReplStats[bucket]; ok {
			stats := s.ReplicationStats
			if stats.hasReplicationUsage() {
				for arn, stat := range stats.Stats {
					m.Set(bucketReplLastHrFailedBytes, float64(stat.Failed.LastHour.Bytes), labels...)

MinIO divides the drives you provide into erasure-coding sets of *2 to 16* drives.  Therefore, the number of drives you present must be a multiple of one of these numbers.  Each object is written to a single erasure-coding set.

	// err will only be returned after decoded has been closed.
	err          *error
	readCloser   io.ReadCloser
	onReaderExit func()

	exitReader chan struct{}
	readerWg   sync.WaitGroup
}

// Read - reads single record.
func (r *Reader) Read(dst sql.Record) (sql.Record, error) {
	v, ok := <-r.decoded
	if !ok {
		if r.err != nil && *r.err != nil {
			return nil, errJSONParsingError(*r.err)
		}
		return nil, io.EOF
	}

        parallelization: (Int) -> ParallelizationMethod
    ): List<SmallSubprojectBucket> {
        // splitIntoBuckets() method expects us to split large element into N elements,
        // but we want to have a single bucket with N batches.
        // As a workaround, we repeat the bucket N times, and deduplicate the result at the end
        val resultIncludingDuplicates = splitIntoBuckets(
            LinkedList(subProjectTestClassTimes),

 * All comments are ignored.
 *
 * Regular lines contain fields separated by semicolons.
 *
 * The first element on each line is a single hex code point (like 0041) or a hex code point range
 * (like 0030..0039).
 *
 * The second element on each line is a mapping type, like `valid` or `mapped`.
 *

            csvWriter.writeValues(list);

            badWordBhv.selectCursor(cb -> cb.query().matchAll(), new EntityRowHandler<BadWord>() {
                @Override
                public void handle(final BadWord entity) {
                    final List<String> list = new ArrayList<>();
                    addToList(list, entity.getSuggestWord());
                    try {

  // The number of compression rounds.
  private final int c;
  // The number of finalization rounds.
  private final int d;
  // Two 64-bit keys (represent a single 128-bit key).
  private final long k0;
  private final long k1;

  /**
   * @param c the number of compression rounds (must be positive)
   * @param d the number of finalization rounds (must be positive)

		return err
	}
	if len(whs) == 0 {
		// no revision with default, no action required.
		return nil
	}
	if len(whs) > 1 {
		return fmt.Errorf("expected a single webhook for default revision")
	}
	webhook := whs[0]
	for i := range webhook.Webhooks {
		wh := webhook.Webhooks[i]
		// this is an abomination, but if this isn't a per-revision webhook, we want to make it ineffectual