code: def test_train_dot():
      # Test training a single pixel
      # Regression test of bugs regarding this case
      #
      image = numpy.zeros((10, 20), bool)
      image[5, 10] = True
      workspace, module = make_workspace(image)
      assert isinstance(
          module, cellprofiler.modules.untangleworms.UntangleWorms
      )
      module.mode.value = cellprofiler.modules.untangleworms.MODE_TRAIN
      module.prepare_group(workspace, None, None)
      module.run(workspace)
  
imports: import base64
  import io
  import os
  import tempfile
  import zlib
  import imageio
  import centrosome.outline
  import numpy
  import scipy.ndimage
  import cellprofiler_core.image
  import cellprofiler_core.measurement
  import cellprofiler_core.modules
  import cellprofiler.modules.untangleworms
  import cellprofiler_core.object
  import cellprofiler_core.pipeline
  import cellprofiler_core.preferences
  import cellprofiler_core.setting
  import cellprofiler_core.workspace
  import tests.frontend.modules
label_desc: Use image node_id 39 for calling a global function with example usage: test_train_dot() without return types