code: def expand(self, arg: Tuple[sint, ...]):
      # NOTE: this assert isn't needed, sharded axis can have dim 1
      assert (
          self.axis is None or arg[self.axis] == self.shape[self.axis]
      ), "expand not supported on sharded axis"
      return MultiLazyBuffer(
          [
              x.expand(self._shape_to_single_shard(arg, x))
              for x in self.lbs
          ],
          self.axis,
      )
  
imports: from __future__ import annotations
  from typing import Optional, Union, Any, Tuple, List
  import functools
  from tinygrad.helpers import all_same, dedup, round_up, DEBUG
  from tinygrad.dtype import DType
  from tinygrad.ops import BinaryOps, LoadOps, UnaryOps, TernaryOps, ReduceOps
  from tinygrad.lazy import LazyBuffer, create_schedule
  from tinygrad.shape.shapetracker import ShapeTracker, sint
label_desc: Use image node_id 16 for calling the MultiLazyBuffer obj's underlying member method code with example usage: obj.expand(arg) and returns: MultiLazyBuffer