}

		readers := []io.Reader{}
		cumulativeSum := int64(0)
		for _, p := range oi.partLengths {
			readers = append(readers, NewDummyDataGen(p, cumulativeSum))
			cumulativeSum += p
		}

		refReader := io.LimitReader(ioutilx.NewSkipReader(io.MultiReader(readers...), off), length)
		if ok, msg := cmpReaders(refReader, rec.Body); !ok {

   *     underlying value may never be closed if the {@link Future} is canceled after its operation
   *     begins. Consider replacing code that creates {@link ListenableFuture}s of closeable types,
   *     including those that pass them to this method, with {@link #submit(ClosingCallable,

    return new LinkedHashMap<>(capacity(expectedSize));
  }

  /**
   * Creates a new empty {@link ConcurrentHashMap} instance.
   *
   * @since 3.0
   */
  public static <K, V> ConcurrentMap<K, V> newConcurrentMap() {
    return new ConcurrentHashMap<>();
  }

  /**
   * Creates a <i>mutable</i>, empty {@code TreeMap} instance using the natural ordering of its
   * elements.
   *

    return new LinkedHashMap<>(capacity(expectedSize));
  }

  /**
   * Creates a new empty {@link ConcurrentHashMap} instance.
   *
   * @since 3.0
   */
  public static <K, V> ConcurrentMap<K, V> newConcurrentMap() {
    return new ConcurrentHashMap<>();
  }

  /**
   * Creates a <i>mutable</i>, empty {@code TreeMap} instance using the natural ordering of its
   * elements.
   *

    }

    /**
     * Rebuilds configuration indices with the latest mappings using atomic alias switching.
     * Only indices matching the specified target prefixes are rebuilt.
     * For each index: creates a backup, reindexes data, creates a new index, reindexes from backup,
     * atomically switches aliases, then cleans up old and backup indices.
     *

          "and will trigger an error in the future. Either don't modify "
          "nodes after running them or create a new session.");
    }
  }
}

namespace {

// Helper method that creates a shape handle for a shape described by dims.
tensorflow::shape_inference::ShapeHandle ShapeHandleFromDims(
    tensorflow::shape_inference::InferenceContext* ic, int num_dims,
    const int64_t* dims) {

  /** How long after the last write an entry becomes a candidate for refresh. */
  final long refreshNanos;

  /** Entries waiting to be consumed by the removal listener. */
  // TODO(fry): define a new type which creates event objects and automates the clear logic
  final Queue<RemovalNotification<K, V>> removalNotificationQueue;

  /**
   * A listener that is invoked when an entry is removed due to expiration or garbage collection of

  /** How long after the last write an entry becomes a candidate for refresh. */
  final long refreshNanos;

  /** Entries waiting to be consumed by the removal listener. */
  // TODO(fry): define a new type which creates event objects and automates the clear logic
  final Queue<RemovalNotification<K, V>> removalNotificationQueue;

  /**
   * A listener that is invoked when an entry is removed due to expiration or garbage collection of

    /** The key of the message: {item} must be less than {value}. */
    public static final String CONSTRAINTS_DecimalMax_MESSAGE = "{constraints.DecimalMax.message}";

    /** The key of the message: {item} must be greater than {value}. */
    public static final String CONSTRAINTS_DecimalMin_MESSAGE = "{constraints.DecimalMin.message}";

    /** The key of the message: {item} must be a number. (expected: <number>.<number>) */

		}

		return c.annotatePeerErr(p.Name, deleteBucket, admClient.SRPeerBucketOps(ctx, bucket, op, nil))
	},
		deleteBucket,
	)
	return errors.Unwrap(cerr)
}

// PeerBucketMakeWithVersioningHandler - creates bucket and enables versioning.
func (c *SiteReplicationSys) PeerBucketMakeWithVersioningHandler(ctx context.Context, bucket string, opts MakeBucketOptions) error {
	objAPI := newObjectLayerFn()
	if objAPI == nil {