code: def test_classify_multiple_select_false():
      module, workspace = make_workspace([1], [])
      with make_classifier(
          module,
          2,
          classes=[1, 2, 3],
          class_names=["Foo", "Bar", "Baz"],
          rules_classes=["Foo", "Baz"],
      ):
          module.run(workspace)
          m = workspace.measurements
          assert m["Image", MEASUREMENT_NAME] == 0
  
imports: import contextlib
  import os
  import tempfile
  import numpy
  import pytest
  import six.moves
  from cellprofiler_core.constants.measurement import COLTYPE_INTEGER
  from cellprofiler_core.constants.workspace import DISPOSITION_CONTINUE, DISPOSITION_SKIP
  import tests.frontend.modules
  import cellprofiler_core.image
  import cellprofiler_core.measurement
  import cellprofiler.modules.flagimage
  import cellprofiler_core.object
  import cellprofiler_core.pipeline
  import cellprofiler_core.preferences
  import cellprofiler_core.setting
  import cellprofiler_core.workspace
  from .None import test_filterobjects
label_desc: Use image node_id 27 for calling a global function with example usage: test_classify_multiple_select_false() without return types