code: def binary_volume():
      data = numpy.zeros((10, 100, 100), dtype=bool)
  
      data[2:6, 10:30, 10:30] = True
  
      data[4:6, 40:90, 40:50] = True
      data[4:6, 40:50, 40:90] = True
      data[2:8, 40:50, 40:50] = True
  
      return data
  
file_path: CellProfiler/tests/frontend/modules/test_convertboolimagetoobjects.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, M_LOCATION_CENTER_Y, M_LOCATION_CENTER_Z, M_NUMBER_OBJECT_NUMBER, FF_COUNT
  import cellprofiler.modules.convertimagetoobjects
label_desc: Use image node_id 2 for calling a global function with example usage: binary_volume() and returns: data