code: def test_classify_none():
      classes = ["a"]
      workspace, module = make_workspace_classifier(
          {OBJECTS_NAME: numpy.zeros((10, 10), int)}, grouplist=classes
      )
      with make_classifier(
          module, numpy.zeros(0, int), class_names=classes
      ):
          workspace.measurements[OBJECTS_NAME, TEST_FTR] = numpy.zeros(
              0
          )
          module.run(workspace)
          for eachclass in classes:
              output_objects = workspace.object_set.get_objects(
                  eachclass
              )
              assert output_objects.count == 0
  
imports: import contextlib
  import os
  import pickle
  import tempfile
  import numpy
  import pytest
  import cellprofiler_core.image
  import cellprofiler_core.measurement
  from cellprofiler_core.constants.measurement import COLTYPE_FLOAT, COLTYPE_INTEGER
  import cellprofiler.modules.classifyobjects
  import cellprofiler_core.object
  import cellprofiler_core.pipeline
  import cellprofiler_core.setting
  import cellprofiler_core.workspace
label_desc: Use image node_id 12 for calling a global function with example usage: test_classify_none() without return types