code: def _filter(self, xp, scp, x):
      filter = getattr(scp.ndimage, self.filter)
      if xp.isscalar(self.size):
          shape = (self.size,) * x.ndim
      else:
          shape = tuple(self.size)
      if self.footprint is None:
          footprint = None
      else:
          r = testing.shaped_random(shape, xp, scale=1)
          footprint = xp.where(r < 0.5, 1, 0)
          if not footprint.any():
              footprint = xp.ones(shape)
      if self.structure is None:
          structure = None
      else:
          structure = testing.shaped_random(shape, xp, dtype=xp.int32)
      if self.output == "zeros":
          output = xp.zeros_like(x)
      else:
          output = self.output
      return filter(
          x,
          self.size,
          footprint,
          structure,
          output=output,
          mode=self.mode,
          cval=0.0,
          origin=self.origin,
      )
  
imports: import numpy
  import pytest
  from cupy import testing
  import cupyx.scipy.ndimage
label_desc: Use image node_id 1 for calling the TestMorphologicalGradientAndLaplace obj's underlying member method code with example usage: obj._filter(xp, scp, x) and returns: filter