code: def pad(self, arg: Tuple[Tuple[sint, sint], ...]):
      assert self.axis is None or arg[self.axis] == (
          0,
          0,
      ), "padding not supported on sharded axis"
      return MultiLazyBuffer([x.pad(arg) 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 15 for calling the MultiLazyBuffer obj's underlying member method code with example usage: obj.pad(arg) and returns: MultiLazyBuffer