old_contents: # AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
  from ....testing import assert_equal
  from ..segmentation import BrainExtraction
  
  
  def test_BrainExtraction_inputs():
      input_map = dict(anatomical_image=dict(argstr='-a %s',
      mandatory=True,
      ),
      args=dict(argstr='%s',
      ),
      brain_probability_mask=dict(argstr='-m %s',
      copyfile=False,
      mandatory=True,
      ),
      brain_template=dict(argstr='-e %s',
      mandatory=True,
      ),
      debug=dict(argstr='-z 1',
      ),
      dimension=dict(argstr='-d %d',
      usedefault=True,
      ),
      environ=dict(nohash=True,
      usedefault=True,
      ),
      extraction_registration_mask=dict(argstr='-f %s',
      ),
      ignore_exception=dict(nohash=True,
      usedefault=True,
      ),
      image_suffix=dict(argstr='-s %s',
      usedefault=True,
      ),
      keep_temporary_files=dict(argstr='-k %d',
      ),
      num_threads=dict(nohash=True,
      usedefault=True,
      ),
      out_prefix=dict(argstr='-o %s',
      usedefault=True,
      ),
      terminal_output=dict(nohash=True,
      ),
      use_floatingpoint_precision=dict(argstr='-q %d',
      ),
      use_random_seeding=dict(argstr='-u %d',
      ),
      )
      inputs = BrainExtraction.input_spec()
  
      for key, metadata in list(input_map.items()):
          for metakey, value in list(metadata.items()):
              yield assert_equal, getattr(inputs.traits()[key], metakey), value
  
  
  def test_BrainExtraction_outputs():
      output_map = dict(BrainExtractionBrain=dict(),
      BrainExtractionMask=dict(),
      )
      outputs = BrainExtraction.output_spec()
  
      for key, metadata in list(output_map.items()):
          for metakey, value in list(metadata.items()):
              yield assert_equal, getattr(outputs.traits()[key], metakey), value
  
new_contents: # AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
  from ....testing import assert_equal
  from ..segmentation import BrainExtraction
  
  
  def test_BrainExtraction_inputs():
      input_map = dict(anatomical_image=dict(argstr='-a %s',
      mandatory=True,
      ),
      args=dict(argstr='%s',
      ),
      brain_probability_mask=dict(argstr='-m %s',
      copyfile=False,
      mandatory=True,
      ),
      brain_template=dict(argstr='-e %s',
      mandatory=True,
      ),
      debug=dict(argstr='-z 1',
      ),
      dimension=dict(argstr='-d %d',
      usedefault=True,
      ),
      environ=dict(nohash=True,
      usedefault=True,
      ),
      extraction_registration_mask=dict(argstr='-f %s',
      ),
      ignore_exception=dict(nohash=True,
      usedefault=True,
      ),
      image_suffix=dict(argstr='-s %s',
      usedefault=True,
      ),
      keep_temporary_files=dict(argstr='-k %d',
      ),
      num_threads=dict(nohash=True,
      usedefault=True,
      ),
      out_prefix=dict(argstr='-o %s',
      usedefault=True,
      ),
      terminal_output=dict(nohash=True,
      ),
      use_floatingpoint_precision=dict(argstr='-q %d',
      ),
      use_random_seeding=dict(argstr='-u %d',
      ),
      )
      inputs = BrainExtraction.input_spec()
  
      for key, metadata in list(input_map.items()):
          for metakey, value in list(metadata.items()):
              yield assert_equal, getattr(inputs.traits()[key], metakey), value
  
  
  def test_BrainExtraction_outputs():
      output_map = dict(BrainExtractionBrain=dict(),
      BrainExtractionCSF=dict(),
      BrainExtractionGM=dict(),
      BrainExtractionInitialAffine=dict(),
      BrainExtractionInitialAffineFixed=dict(),
      BrainExtractionInitialAffineMoving=dict(),
      BrainExtractionLaplacian=dict(),
      BrainExtractionMask=dict(),
      BrainExtractionPrior0GenericAffine=dict(),
      BrainExtractionPrior1InverseWarp=dict(),
      BrainExtractionPrior1Warp=dict(),
      BrainExtractionPriorWarped=dict(),
      BrainExtractionSegmentation=dict(),
      BrainExtractionTemplateLaplacian=dict(),
      BrainExtractionTmp=dict(),
      BrainExtractionWM=dict(),
      N4Corrected0=dict(),
      N4Truncated0=dict(),
      )
      outputs = BrainExtraction.output_spec()
  
      for key, metadata in list(output_map.items()):
          for metakey, value in list(metadata.items()):
              yield assert_equal, getattr(outputs.traits()[key], metakey), value
  
subject: add auto generated spec test for changed file