code: def _check_copyto_where_multigpu_raises(self, dtype, ngpus):
      def get_numpy():
          a = testing.shaped_arange((2, 3, 4), numpy, dtype)
          b = testing.shaped_reverse_arange((2, 3, 4), numpy, dtype)
          c = testing.shaped_arange((2, 3, 4), numpy, "?")
          numpy.copyto(a, b, where=c)
          return a
  
      for dev1, dev2, dev3, dev4 in itertools.product(
          *[range(ngpus)] * 4
      ):
          if dev1 == dev2 == dev3 == dev4:
              continue
          if not dev1 <= dev2 <= dev3 <= dev4:
              continue
  
          with cuda.Device(dev1):
              a = testing.shaped_arange((2, 3, 4), cupy, dtype)
          with cuda.Device(dev2):
              b = testing.shaped_reverse_arange((2, 3, 4), cupy, dtype)
          with cuda.Device(dev3):
              c = testing.shaped_arange((2, 3, 4), cupy, "?")
          with cuda.Device(dev4):
              if all(
                  [
                      (peer == dev4)
                      or (
                          cuda.runtime.deviceCanAccessPeer(dev4, peer)
                          == 1
                      )
                      for peer in (dev1, dev2, dev3)
                  ]
              ):
                  with pytest.warns(cupy._util.PerformanceWarning):
                      cupy.copyto(a, b, where=c)
              else:
                  with pytest.raises(
                      ValueError, match="Peer access is unavailable"
                  ):
                      cupy.copyto(a, b, where=c)
  
imports: import itertools
  import warnings
  import numpy
  import pytest
  import cupy
  from cupy import cuda
  from cupy import testing
label_desc: Use image node_id 12 for calling the TestBasic obj's underlying member method code with example usage: obj._check_copyto_where_multigpu_raises(dtype, ngpus) and returns: a