text: # AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
  from ..dti import TrackBayesDirac
  
  
  def test_TrackBayesDirac_inputs():
      input_map = dict(
          anisfile=dict(
              argstr='-anisfile %s',
              extensions=None,
          ),
          anisthresh=dict(argstr='-anisthresh %f', ),
          args=dict(argstr='%s', ),
          curveinterval=dict(
              argstr='-curveinterval %f',
              requires=['curvethresh'],
          ),
          curvepriorg=dict(argstr='-curvepriorg %G', ),
          curvepriork=dict(argstr='-curvepriork %G', ),
          curvethresh=dict(argstr='-curvethresh %f', ),
          data_dims=dict(
              argstr='-datadims %s',
              units='voxels',
          ),
          datamodel=dict(argstr='-datamodel %s', ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          extpriordatatype=dict(argstr='-extpriordatatype %s', ),
          extpriorfile=dict(
              argstr='-extpriorfile %s',
              extensions=None,
          ),
          gzip=dict(argstr='-gzip', ),
          in_file=dict(
              argstr='-inputfile %s',
              extensions=None,
              position=1,
          ),
          inputdatatype=dict(argstr='-inputdatatype %s', ),
          inputmodel=dict(
              argstr='-inputmodel %s',
              usedefault=True,
          ),
          interpolator=dict(argstr='-interpolator %s', ),
          ipthresh=dict(argstr='-ipthresh %f', ),
          iterations=dict(
              argstr='-iterations %d',
              units='NA',
          ),
          maxcomponents=dict(
              argstr='-maxcomponents %d',
              units='NA',
          ),
          numpds=dict(
              argstr='-numpds %d',
              units='NA',
          ),
          out_file=dict(
              argstr='-outputfile %s',
              extensions=None,
              genfile=True,
              position=-1,
          ),
          output_root=dict(
              argstr='-outputroot %s',
              extensions=None,
              position=-1,
          ),
          outputtracts=dict(argstr='-outputtracts %s', ),
          pdf=dict(argstr='-pdf %s', ),
          pointset=dict(argstr='-pointset %s', ),
          scheme_file=dict(
              argstr='-schemefile %s',
              extensions=None,
              mandatory=True,
          ),
          seed_file=dict(
              argstr='-seedfile %s',
              extensions=None,
              position=2,
          ),
          stepsize=dict(
              argstr='-stepsize %f',
              requires=['tracker'],
          ),
          tracker=dict(
              argstr='-tracker %s',
              usedefault=True,
          ),
          voxel_dims=dict(
              argstr='-voxeldims %s',
              units='mm',
          ),
      )
      inputs = TrackBayesDirac.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_TrackBayesDirac_outputs():
      output_map = dict(tracked=dict(extensions=None, ), )
      outputs = TrackBayesDirac.output_spec()
  
      for key, metadata in list(output_map.items()):
          for metakey, value in list(metadata.items()):
              assert getattr(outputs.traits()[key], metakey) == value
  