code: def test_classify_none():
      workspace, module = make_workspace(
          {INPUT_OBJECTS: numpy.zeros((10, 10), int)}
      )
      module.x_name.value = INPUT_OBJECTS
      module.y_name.value = OUTPUT_OBJECTS
      with make_classifier(module, numpy.zeros(0, int), classes=[1]):
          workspace.measurements[INPUT_OBJECTS, TEST_FTR] = numpy.zeros(
              0
          )
          module.run(workspace)
          output_objects = workspace.object_set.get_objects(
              OUTPUT_OBJECTS
          )
          assert output_objects.count == 0
  
imports: import contextlib
  import io
  import os
  import pickle
  import tempfile
  import numpy
  import pytest
  import cellprofiler_core.image
  import cellprofiler_core.measurement
  import cellprofiler_core.modules
  from cellprofiler_core.constants.measurement import FF_PARENT, FF_COUNT, FF_CHILDREN_COUNT, M_LOCATION_CENTER_X, M_LOCATION_CENTER_Y, M_LOCATION_CENTER_Z, M_NUMBER_OBJECT_NUMBER
  import cellprofiler.modules.filterobjects
  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 29 for calling a global function with example usage: test_classify_none() without return types