code: def shrink(self, arg: Tuple[Tuple[sint, sint], ...]):
      assert self.axis is None or arg[self.axis] == (
          0,
          self.shape[self.axis],
      ), "shrinking not supported on sharded axis"
      return MultiLazyBuffer(
          [
              x.shrink(
                  tuple(
                      (0, x.shape[self.axis])
                      if a == self.axis
                      else (s1, s2)
                      for a, (s1, s2) in enumerate(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 18 for calling the MultiLazyBuffer obj's underlying member method code with example usage: obj.shrink(arg) and returns: MultiLazyBuffer