code: def labeled_image():
      # Pre-labeled, connected image
      data = numpy.zeros((100, 100), dtype=numpy.uint8)
  
      data[10:30, 10:30] = 1
  
      data[40:90, 40:50] = 2
      data[40:50, 40:90] = 3
  
      return data
  
file_path: CellProfiler/tests/frontend/modules/test_convertlabeledimagetoobjects.py
imports: import numpy
  import numpy.random
  import pytest
  import cellprofiler_core.image
  import cellprofiler_core.measurement
  from cellprofiler_core.constants.measurement import M_LOCATION_CENTER_X, FF_COUNT, M_LOCATION_CENTER_Y, M_LOCATION_CENTER_Z, M_NUMBER_OBJECT_NUMBER
  import cellprofiler.modules.convertimagetoobjects
label_desc: Use image node_id 1 for calling a global function with example usage: labeled_image() and returns: data