text: # AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
  from __future__ import unicode_literals
  from ..segmentation import KellyKapowski
  
  
  def test_KellyKapowski_inputs():
      input_map = dict(args=dict(argstr='%s',
      ),
      convergence=dict(argstr='--convergence "%s"',
      usedefault=True,
      ),
      cortical_thickness=dict(argstr='--output "%s"',
      hash_files=False,
      keep_extension=True,
      name_source=['segmentation_image'],
      name_template='%s_cortical_thickness',
      ),
      dimension=dict(argstr='--image-dimensionality %d',
      usedefault=True,
      ),
      environ=dict(nohash=True,
      usedefault=True,
      ),
      gradient_step=dict(argstr='--gradient-step %f',
      usedefault=True,
      ),
      gray_matter_label=dict(usedefault=True,
      ),
      gray_matter_prob_image=dict(argstr='--gray-matter-probability-image "%s"',
      ),
      ignore_exception=dict(nohash=True,
      usedefault=True,
      ),
      max_invert_displacement_field_iters=dict(argstr='--maximum-number-of-invert-displacement-field-iterations %d',
      ),
      num_threads=dict(nohash=True,
      usedefault=True,
      ),
      number_integration_points=dict(argstr='--number-of-integration-points %d',
      ),
      segmentation_image=dict(argstr='--segmentation-image "%s"',
      mandatory=True,
      ),
      smoothing_variance=dict(argstr='--smoothing-variance %f',
      ),
      smoothing_velocity_field=dict(argstr='--smoothing-velocity-field-parameter %f',
      ),
      terminal_output=dict(deprecated='1.0.0',
      nohash=True,
      ),
      thickness_prior_estimate=dict(argstr='--thickness-prior-estimate %f',
      usedefault=True,
      ),
      thickness_prior_image=dict(argstr='--thickness-prior-image "%s"',
      ),
      use_bspline_smoothing=dict(argstr='--use-bspline-smoothing 1',
      ),
      warped_white_matter=dict(hash_files=False,
      keep_extension=True,
      name_source=['segmentation_image'],
      name_template='%s_warped_white_matter',
      ),
      white_matter_label=dict(usedefault=True,
      ),
      white_matter_prob_image=dict(argstr='--white-matter-probability-image "%s"',
      ),
      )
      inputs = KellyKapowski.input_spec()
  
      for key, metadata in list(input_map.items()):
          for metakey, value in list(metadata.items()):
              assert getattr(inputs.traits()[key], metakey) == value
  
  
  def test_KellyKapowski_outputs():
      output_map = dict(cortical_thickness=dict(),
      warped_white_matter=dict(),
      )
      outputs = KellyKapowski.output_spec()
  
      for key, metadata in list(output_map.items()):
          for metakey, value in list(metadata.items()):
              assert getattr(outputs.traits()[key], metakey) == value
  