docstr: Executes a graph cut and returns the processed results.
docstr_tok: ["Executes","a","graph","cut","and","returns","the","processed","results","."]
code: def __execute(self, graph, image):
      """Executes a graph cut and returns the processed results."""
      # execute min-cut / executing BK_MFMC
      try:
          graph.maxflow()
      except Exception as e:
          self.fail(
              "An error was thrown during the external executions: {}".format(
                  e.message
              )
          )
  
      # reshape results to form a valid mask
      result = numpy.zeros(image.size, dtype=numpy.bool_)
      for idx in range(len(result)):
          result[idx] = (
              0 if graph.termtype.SINK == graph.what_segment(idx) else 1
          )
      return result.reshape(image.shape)
  
imports: import unittest
  import numpy
  from numpy.testing import assert_array_equal
  from medpy.graphcut import graph_from_voxels
  from medpy.graphcut.energy_voxel import boundary_difference_linear, boundary_difference_exponential, boundary_difference_division, boundary_difference_power, boundary_maximum_linear, boundary_maximum_exponential, boundary_maximum_division, boundary_maximum_power, regional_probability_map
label_desc: Use image node_id 16 for calling the TestEnergyVoxel obj's underlying member method code with example usage: obj.__execute(graph, image) and returns: result