code: def test_resize_factor_rounding():
      data = numpy.zeros((99, 99))
  
      workspace, module = make_workspace(
          data,
          cellprofiler.modules.resize.R_BY_FACTOR,
          cellprofiler.modules.resize.I_NEAREST_NEIGHBOR,
      )
  
      module.resizing_factor_x.value = (
          module.resizing_factor_y.value
      ) = 0.25
  
      module.run(workspace)
  
      assert workspace.image_set.get_image(
          OUTPUT_IMAGE_NAME
      ).pixel_data.shape == (25, 25)
  
imports: import io
  import numpy
  import numpy.testing
  import skimage.exposure
  import skimage.transform
  import cellprofiler_core.image
  import cellprofiler_core.measurement
  import cellprofiler.modules.resize
  import cellprofiler_core.object
  import cellprofiler_core.pipeline
  import cellprofiler_core.preferences
  import cellprofiler_core.workspace
  import tests.frontend.modules
label_desc: Use image node_id 28 for calling a global function with example usage: test_resize_factor_rounding() without return types