code: def test_ResampleDTIVolume_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 ",
          ),
          correction=dict(
              argstr="--correction %s",
          ),
          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",
          ),
          transform_tensor_method=dict(
              argstr="--transform_tensor_method %s",
          ),
          transformationFile=dict(
              argstr="--transformationFile %s",
              extensions=None,
          ),
          window_function=dict(
              argstr="--window_function %s",
          ),
      )
      inputs = ResampleDTIVolume.input_spec()
  
      for key, metadata in list(input_map.items()):
          for metakey, value in list(metadata.items()):
              assert getattr(inputs.traits()[key], metakey) == value
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_ResampleDTIVolume_inputs() without return types