if errors.Is(err, io.EOF) {
				err = nil
			}
			break
		}

		stat = append(stat, st)
	}

	return stat, toStorageErr(err)
}

// ReadMultiple will read multiple files and send each back as response.
// Files are read and returned in the given order.
// The resp channel is closed before the call returns.
// Only a canceled context or network errors returns an error.

        /** Stores the value lines for the currently processed property.*/
        private final List<String> valueLines;

        /** Stores the name of the last read property.*/
        private String propertyName;

        /** Stores the value of the last read property.*/
        private String propertyValue;

        private boolean maybeTyped;

        /** Stores if the properties are typed or not */

        /** Stores the value lines for the currently processed property.*/
        private final List<String> valueLines;

        /** Stores the name of the last read property.*/
        private String propertyName;

        /** Stores the value of the last read property.*/
        private String propertyValue;

        private boolean maybeTyped;

        /** Stores if the properties are typed or not */

/**
 * <p>
 * {@link ESSourceReader} reads documents from Elasticsearch using the scroll API.
 * It implements the {@link DocumentReader} interface to provide a way to iterate over documents
 * in a large index without loading all of them into memory at once.
 * </p>
 *
 * <p>
 * The reader supports limiting the number of documents read based on a percentage of the total documents

	start := int(keyCrc % uint32(cardinality))
	for i := 1; i <= cardinality; i++ {
		nums[i-1] = 1 + ((start + i) % cardinality)
	}
	return nums
}

// Reads all `xl.meta` metadata as a FileInfo slice.
// Returns error slice indicating the failed metadata reads.
func readAllFileInfo(ctx context.Context, disks []StorageAPI, origbucket string, bucket, object, versionID string, readData, healing bool) ([]FileInfo, []error) {

	// iostat related
	driveReadsPerSecMD = NewGaugeMD(driveReadsPerSec,
		"Reads per second on a drive",
		allDriveLabels...)
	driveReadsKBPerSecMD = NewGaugeMD(driveReadsKBPerSec,
		"Kilobytes read per second on a drive",
		allDriveLabels...)
	driveReadsAwaitMD = NewGaugeMD(driveReadsAwait,
		"Average time for read requests served on a drive",
		allDriveLabels...)
	driveWritesPerSecMD = NewGaugeMD(driveWritesPerSec,

     * at table entries if it is 0.
     *
     * - All (synchronized) write operations should write to the "count" field after structurally
     * changing any bin. The operations must not take any action that could even momentarily cause a
     * concurrent read operation to see inconsistent data. This is made easier by the nature of the

        return ((src[srcIndex++] & 0x01) << 16) + ((src[srcIndex++] & 0xFF) << 8) + (src[srcIndex++] & 0xFF);
    }

    static int readn(final InputStream in, final byte[] b, final int off, final int len) throws IOException {
        int i = 0, n;

        while (i < len) {
            n = in.read(b, off + i, len - i);
            if (n <= 0) {
                break;
            }
            i += n;
        }

    public T get() {
      // Another variant of Double Checked Locking.
      //
      // We use two volatile reads. We could reduce this to one by
      // putting our fields into a holder class, but (at least on x86)
      // the extra memory consumption and indirection are more
      // expensive than the extra volatile reads.
      long nanos = expirationNanos;
      long now = System.nanoTime();
      if (nanos == 0 || now - nanos >= 0) {

 * views are modifiable.
 *
 * <p>This class is not threadsafe when any concurrent operations update the multimap. Concurrent
 * read operations will work correctly if the last write <i>happens-before</i> any reads. To allow
 * concurrent update operations, wrap your multimap with a call to {@link
 * Multimaps#synchronizedSetMultimap}.
 *