code: def merge_views(vm2: View, vm1: View) -> Optional[View]:
      if vm1.contiguous and vm1.shape == vm2.shape:
          return vm2
      if vm2.contiguous:
          return vm1
      if vm2.mask or vm1.offset != 0:
          return None  # this isn't supported yet
      if None in (strides := ShapeTracker((vm2, vm1)).real_strides()):
          return None
      return View.create(
          vm1.shape,
          cast(Tuple[sint, ...], strides),
          vm2.offset,
          vm1.mask,
      )
  
imports: from __future__ import annotations
  import functools, itertools, operator
  from dataclasses import dataclass
  from typing import Tuple, List, Optional, Dict, Set, cast, Union, Iterable
  from tinygrad.ops import MovementOps
  from tinygrad.helpers import prod, merge_dicts, getenv
  from tinygrad.shape.symbolic import Variable, MulNode, Node, SumNode, NumNode, sint
  from tinygrad.shape.view import View, _merge_dims
label_desc: Use image node_id 4 for calling a global function with example usage: merge_views(vm2, vm1) and returns: View, vm2, vm1, None, None