code: def test_labeled_comprehension(self, xp, scp, dtype):
      image = self._make_image(self.shape, xp, dtype, scale=101)
      labels = self.labels
      index = self.index
      if labels is not None:
          labels = testing.shaped_random(
              self.shape, xp, dtype=xp.int32, scale=4
          )
      if index is not None:
          index = xp.array(index)
  
      if self.pass_positions:
          # simple function that takes a positions argument
          def func(x, pos):
              return xp.sum(x + pos > 50)
  
      else:
          # simple function to apply to each lable
          func = xp.sum
  
      op = getattr(scp.ndimage, "labeled_comprehension")
      dtype == image.dtype if self.dtype == "same" else self.dtype
      if index is not None and labels is None:
          # cannot give an index array without labels
          with pytest.raises(ValueError):
              op(
                  image,
                  labels,
                  index,
                  func,
                  dtype,
                  self.default,
                  self.pass_positions,
              )
          return xp.asarray([])
      return op(
          image,
          labels,
          index,
          func,
          dtype,
          self.default,
          self.pass_positions,
      )
  
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 2 for calling the TestLabeledComprehension obj's underlying member method code with example usage: obj.test_labeled_comprehension(xp, scp, dtype) and returns: op, xp, xp