code: def test_measurements_select(self, xp, scp, dtype):
      self._hip_skip_invalid_condition()
  
      shape = self.shape
      rstate = numpy.random.RandomState(0)
      # scale must be small enough to avoid potential integer overflow due to
      # https://github.com/scipy/scipy/issues/12836
      x = testing.shaped_random(shape, xp=xp, dtype=dtype, scale=32)
      non_unique = xp.unique(x).size < x.size
  
      if (
          self.op in ["minimum_position", "maximum_position"]
          and non_unique
          and self.index is not None
      ):
          # skip cases with non-unique min or max position
          return xp.array([])
  
      if self.labels is None:
          labels = self.labels
      else:
          labels = rstate.choice(self.labels, x.size).reshape(shape) + 1
          labels = xp.asarray(labels)
      if self.index is None or isinstance(self.index, int):
          index = self.index
      elif self.index == "all":
          if self.labels is not None:
              index = xp.arange(1, self.labels + 1, dtype=cupy.intp)
          else:
              index = None
      elif self.index == "subset":
          if self.labels is not None:
              index = xp.arange(1, self.labels + 1, dtype=cupy.intp)[
                  1::2
              ]
          else:
              index = None
      func = getattr(scp.ndimage, self.op)
      result = func(x, labels, index)
      if self.op == "extrema":
          if non_unique and self.index is not None:
              # omit comparison of minimum_position, maximum_position
              result = [xp.asarray(r) for r in result[:2]]
          else:
              result = [xp.asarray(r) for r in result]
      else:
          if isinstance(result, list):
              # convert list of coordinate tuples to an array for comparison
              result = xp.asarray(result)
      return result
  
imports: import sys
  import warnings
  import numpy
  import pytest
  import cupy
  from cupy.cuda import runtime
  from cupy import testing
  from cupy import _util
  from cupy._core import _accelerator
  import cupyx.scipy.ndimage
label_desc: Use image node_id 3 for calling the TestMeasurementsSelect obj's underlying member method code with example usage: obj.test_measurements_select(xp, scp, dtype) and returns: result, xp