text: # AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
  from ..resamplescalarvectordwivolume import ResampleScalarVectorDWIVolume
  
  
  def test_ResampleScalarVectorDWIVolume_inputs():
      input_map = dict(
          Inverse_ITK_Transformation=dict(
              argstr='--Inverse_ITK_Transformation ', ),
          Reference=dict(
              argstr='--Reference %s',
              extensions=None,
          ),
          args=dict(argstr='%s', ),
          centered_transform=dict(argstr='--centered_transform ', ),
          defField=dict(
              argstr='--defField %s',
              extensions=None,
          ),
          default_pixel_value=dict(argstr='--default_pixel_value %f', ),
          direction_matrix=dict(
              argstr='--direction_matrix %s',
              sep=',',
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          hfieldtype=dict(argstr='--hfieldtype %s', ),
          image_center=dict(argstr='--image_center %s', ),
          inputVolume=dict(
              argstr='%s',
              extensions=None,
              position=-2,
          ),
          interpolation=dict(argstr='--interpolation %s', ),
          notbulk=dict(argstr='--notbulk ', ),
          number_of_thread=dict(argstr='--number_of_thread %d', ),
          origin=dict(argstr='--origin %s', ),
          outputVolume=dict(
              argstr='%s',
              hash_files=False,
              position=-1,
          ),
          rotation_point=dict(argstr='--rotation_point %s', ),
          size=dict(
              argstr='--size %s',
              sep=',',
          ),
          spaceChange=dict(argstr='--spaceChange ', ),
          spacing=dict(
              argstr='--spacing %s',
              sep=',',
          ),
          spline_order=dict(argstr='--spline_order %d', ),
          transform=dict(argstr='--transform %s', ),
          transform_matrix=dict(
              argstr='--transform_matrix %s',
              sep=',',
          ),
          transform_order=dict(argstr='--transform_order %s', ),
          transformationFile=dict(
              argstr='--transformationFile %s',
              extensions=None,
          ),
          window_function=dict(argstr='--window_function %s', ),
      )
      inputs = ResampleScalarVectorDWIVolume.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_ResampleScalarVectorDWIVolume_outputs():
      output_map = dict(outputVolume=dict(
          extensions=None,
          position=-1,
      ), )
      outputs = ResampleScalarVectorDWIVolume.output_spec()
  
      for key, metadata in list(output_map.items()):
          for metakey, value in list(metadata.items()):
              assert getattr(outputs.traits()[key], metakey) == value
  